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Schildroth S, Claus Henn B, Vines AI, Geller RJ, Lovett SM, Coleman CM, Bethea TN, Botelho JC, Calafat AM, Milando C, Baird DD, Wegienka G, Wise LA. Per- and polyfluoroalkyl substances (PFAS), perceived stress, and depressive symptoms in a prospective cohort study of black women. Sci Total Environ 2024; 929:172445. [PMID: 38642767 DOI: 10.1016/j.scitotenv.2024.172445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/10/2024] [Accepted: 04/10/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) are endocrine-disrupting chemicals with neurotoxic properties. PFAS have been associated with depressive symptoms among women in some studies, but little research has evaluated the effects of PFAS mixtures. Further, no study has investigated interactions of PFAS-depression associations by perceived stress, which has been shown to modify the effects of PFAS on other health outcomes. OBJECTIVE In a prospective cohort study of reproductive-aged Black women, we investigated associations between PFAS and depressive symptoms and the extent to which perceived stress modified these associations. METHODS We analyzed data from 1499 participants (23-35 years) in the Study of Environment, Lifestyle, and Fibroids. We quantified concentrations of nine PFAS in baseline plasma samples using online solid-phase extraction-liquid chromatography-isotope dilution tandem mass spectrometry. Participants reported perceived stress via the Perceived Stress Scale (PSS-4; range = 0-16) at baseline and depressive symptoms via the Center for Epidemiologic Studies Depression Scale (CESD; range = 0-44) at the 20-month follow-up visit. We used Bayesian Kernel Machine Regression to estimate associations between PFAS concentrations, individually and as a mixture, and depressive symptoms, and to assess effect modification by PSS-4 scores, adjusting for confounders. RESULTS Baseline perfluorodecanoic acid concentrations were associated with greater depressive symptoms at the 20-month follow-up, but associations for other PFAS were null. The PFAS were not associated with depressive symptoms when evaluated as a mixture. The association between the 90th percentile (vs. 50th percentile) of the PFAS mixture with CES-D scores was null at the 10th (β = 0.03; 95 % CrI = 0.20, 0.25), 50th (β = 0.02; 95 % CrI = -0.16, 0.19), and 90th (β = 0.01; 95 % CrI = 0.18, 0.20) percentiles of PSS-4 scores, suggesting perceived stress did not modify the PFAS mixture. CONCLUSION In this prospective cohort study, PFAS concentrations-assessed individually or as a mixture-were not appreciably associated with depressive symptoms, and there was no evidence of effect modification by perceived stress.
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Affiliation(s)
- Samantha Schildroth
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Anissa I Vines
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Ruth J Geller
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Sharonda M Lovett
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Chad M Coleman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Traci N Bethea
- Office of Minority Health & Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Institute, Washington, DC, USA
| | - Julianne Cook Botelho
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Chad Milando
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Donna D Baird
- National Institute of Environmental Health Sciences, Durham, NC, USA
| | | | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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Fruh V, Wesselink AK, Schildroth S, Bethea TN, Geller RJ, Calafat AM, Coull BA, Wegienka G, Harmon QE, Baird DD, Wise LA, Claus Henn B. Non-persistent endocrine disrupting chemical mixtures and uterine leiomyomata in the study of environment, lifestyle and fibroids (SELF). Chemosphere 2024; 357:142050. [PMID: 38631496 DOI: 10.1016/j.chemosphere.2024.142050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 04/12/2024] [Accepted: 04/13/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Results of studies investigating associations between individual endocrine-disrupting chemicals (EDCs) and incidence of uterine leiomyomata (UL), a hormone-dependent gynecological condition, have been inconsistent. However, few studies have evaluated simultaneous exposure to a mixture of EDCs with UL incidence. METHODS We conducted a case-cohort analysis (n = 708) of data from the Study of the Environment, Lifestyle and Fibroids (SELF), a prospective cohort study. Participants were aged 23-35 years at enrollment, had an intact uterus, and identified as Black or African American. We measured biomarker concentrations of 21 non-persistent EDCs, including phthalates, phenols, parabens, and triclocarban, in urine collected at baseline, 20-month, and 40-month clinic visits. We ascertained UL incidence and characteristics using ultrasounds at baseline and approximately every 20 months through 60 months. We used probit Bayesian Kernel Machine Regression (BKMR-P) to evaluate joint associations between EDC mixtures with cumulative UL incidence. We estimated the mean difference in the probit of UL incidence over the study period, adjusting for baseline age, education, years since last birth, parity, smoking status and body mass index. We converted probit estimates to odds ratios for ease of interpretation. RESULTS We observed that urinary concentrations of the overall EDC mixture were inversely associated with UL incidence in the overall mixtures model, with the strongest inverse associations at the 70th percentile of all biomarkers compared with their 50th percentile (odds ratio = 0.59; 95% confidence interval: 0.36, 0.96). Strongest contributors to the joint association for the mixture were bisphenol S (BPS), ethyl paraben (EPB), bisphenol F (BPF) and mono (2-ethyl-5-carboxypentyl) phthalate (MECPP), which each demonstrated inverse associations except for MECPP. There was suggestive evidence of an interaction between MECPP and EPB. CONCLUSION In this prospective ultrasound study, we observed evidence of an inverse association between the overall mixture of urinary biomarker concentrations of non-persistent EDCs with UL incidence.
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Affiliation(s)
- Victoria Fruh
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
| | - Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Samantha Schildroth
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Center, Washington, DC, USA
| | - Ruth J Geller
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, U.S. Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ganesa Wegienka
- Henry Ford Health, Department of Public Health Sciences, Detroit, MI, USA
| | - Quaker E Harmon
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Donna D Baird
- National Institute of Environmental Health Sciences, Epidemiology Branch, Durham, NC, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
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Gilmore N, Grant SJ, Bethea TN, Schiaffino MK, Klepin HD, Dale W, Hardi A, Mandelblatt J, Mohile S. A scoping review of racial, ethnic, socioeconomic, and geographic disparities in the outcomes of older adults with cancer. J Am Geriatr Soc 2024. [PMID: 38593225 DOI: 10.1111/jgs.18881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 02/14/2024] [Indexed: 04/11/2024]
Abstract
INTRODUCTION Cancer health disparities are widespread. Nevertheless, the disparities in outcomes among diverse survivors of cancer ages 65 years and older ("older") have not been systematically evaluated. METHODS We conducted a scoping review of original research articles published between January 2016 and September 2023 and indexed in Medline (Ovid), Embase, Scopus, and CINAHL databases. We included studies evaluating racial, ethnic, socioeconomic disadvantaged, geographic, sexual and gender, and/or persons with disabilities disparities in treatment, survivorship, and mortality among older survivors of cancer. We excluded studies with no a priori aims related to a health disparity, review articles, conference proceedings, meeting abstracts, studies with unclear methodologies, and articles in which the disparity group was examined only as an analytic covariate. Two reviewers independently extracted data following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis reporting guidelines. RESULTS After searching and removing duplicates, 2573 unique citations remained and after screening 59 articles met the inclusion criteria. Many investigated more than one health disparity, and most focused on racial and ethnic (n = 44) or socioeconomic (n = 25) disparities; only 10 studies described geographic disparities, and none evaluated disparities in persons with disabilities or due to sexual and gender identity. Research investigating disparities in outcomes among diverse older survivors of cancer is increasing gradually-68% of eligible articles were published between 2020 and 2023. Most studies focused on the treatment phase of care (n = 28) and mortality (n = 26), with 16 examined disparities in survivorship, symptoms, or quality of life. Most research was descriptive and lacked analyses of potential underlying mechanisms contributing to the reported disparities. CONCLUSION Little research has evaluated the effect of strategies to reduce health disparities among older patients with cancer. This lack of evidence perpetuates cancer inequities and leaves the cancer care system ill equipped to address the unique needs of the rapidly growing and increasingly diverse older adult cancer population.
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Affiliation(s)
- Nikesha Gilmore
- Department of Surgery, Division of Supportive Care in Cancer, University of Rochester Medical Center, Rochester, New York, USA
| | - Shakira J Grant
- Department of Medicine, Division of Hematology, Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research and the Cancer Prevention and Control Program, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Melody K Schiaffino
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, San Diego, California, USA
| | - Heidi D Klepin
- Department of Hematology and Oncology, Comprehensive Cancer Center, Wake Forest University, Winston Salem, North Carolina, USA
| | - William Dale
- Department of Supportive Care Medicine, City of Hope, Duarte, California, USA
| | - Angela Hardi
- Becker Medical Library, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jeanne Mandelblatt
- Department of Oncology, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Supriya Mohile
- Department of Medicine, Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, New York, USA
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McDeed AP, Van Dyk K, Zhou X, Zhai W, Ahles TA, Bethea TN, Carroll JE, Cohen HJ, Nakamura ZM, Rentscher KE, Saykin AJ, Small BJ, Root JC, Jim H, Patel SK, Mcdonald BC, Mandelblatt JS, Ahn J. Prediction of cognitive decline in older breast cancer survivors: the Thinking and Living with Cancer study. JNCI Cancer Spectr 2024; 8:pkae019. [PMID: 38556480 PMCID: PMC11031271 DOI: 10.1093/jncics/pkae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/27/2024] [Accepted: 03/05/2024] [Indexed: 04/02/2024] Open
Abstract
PURPOSE Cancer survivors commonly report cognitive declines after cancer therapy. Due to the complex etiology of cancer-related cognitive decline (CRCD), predicting who will be at risk of CRCD remains a clinical challenge. We developed a model to predict breast cancer survivors who would experience CRCD after systematic treatment. METHODS We used the Thinking and Living with Cancer study, a large ongoing multisite prospective study of older breast cancer survivors with complete assessments pre-systemic therapy, 12 months and 24 months after initiation of systemic therapy. Cognition was measured using neuropsychological testing of attention, processing speed, and executive function (APE). CRCD was defined as a 0.25 SD (of observed changes from baseline to 12 months in matched controls) decline or greater in APE score from baseline to 12 months (transient) or persistent as a decline 0.25 SD or greater sustained to 24 months. We used machine learning approaches to predict CRCD using baseline demographics, tumor characteristics and treatment, genotypes, comorbidity, and self-reported physical, psychosocial, and cognitive function. RESULTS Thirty-two percent of survivors had transient cognitive decline, and 41% of these women experienced persistent decline. Prediction of CRCD was good: yielding an area under the curve of 0.75 and 0.79 for transient and persistent decline, respectively. Variables most informative in predicting CRCD included apolipoprotein E4 positivity, tumor HER2 positivity, obesity, cardiovascular comorbidities, more prescription medications, and higher baseline APE score. CONCLUSIONS Our proof-of-concept tool demonstrates our prediction models are potentially useful to predict risk of CRCD. Future research is needed to validate this approach for predicting CRCD in routine practice settings.
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Affiliation(s)
- Arthur Patrick McDeed
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Xingtao Zhou
- Georgetown University Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Department of Oncology and Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University, Washington, DC, USA
| | - Wanting Zhai
- Georgetown University Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Department of Oncology and Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University, Washington, DC, USA
| | - Tim A Ahles
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Traci N Bethea
- Georgetown University Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Department of Oncology and Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University, Washington, DC, USA
| | - Judith E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Harvey Jay Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Zev M Nakamura
- Department of Psychiatry, University of North Carolina–Chapel Hill, Chapel Hill, NC, USA
| | - Kelly E Rentscher
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Andrew J Saykin
- Center for Neuroimaging and Indiana Alzheimer’s Disease Research Center, Department of Radiology and Imaging Sciences and the Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Brent J Small
- School of Aging Studies, University of South Florida, and Health Outcomes and Behavior Program, Moffitt Cancer Center, Tampa, FL, USA
| | - James C Root
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heather Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center and Research Institute, University of South Florida, Tampa, FL, USA
| | - Sunita K Patel
- Outcomes Division, Population Sciences, City of Hope National Medical Center, Los Angeles, CA, USA
| | - Brenna C Mcdonald
- Center for Neuroimaging and Indiana Alzheimer’s Disease Research Center, Department of Radiology and Imaging Sciences and the Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jeanne S Mandelblatt
- Georgetown University Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Department of Oncology and Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University, Washington, DC, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
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Schildroth S, Bethea TN, Wesselink AK, Friedman A, Fruh V, Calafat AM, Wegienka G, Gaston S, Baird DD, Wise LA, Claus Henn B. Personal Care Products, Socioeconomic Status, and Endocrine-Disrupting Chemical Mixtures in Black Women. Environ Sci Technol 2024; 58:3641-3653. [PMID: 38347750 DOI: 10.1021/acs.est.3c06440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Personal care products (PCPs) are sources of exposure to endocrine-disrupting chemicals (EDCs) among women, and socioeconomic status (SES) may influence these exposures. Black women have inequitable exposure to EDCs from PCP use, but no study has investigated how exposure to EDCs through PCPs may vary by SES, independent of race. Using data from the Study of Environment, Lifestyle, and Fibroids, a cohort of reproductive-aged Black women (n = 751), we quantified associations between PCPs and urinary biomarker concentrations of EDC mixtures (i.e., phthalates, phenols, parabens) within SES groups, defined using k-modes clustering based on education, income, marital status, and employment. Information about PCP use and SES was collected through questionnaires and interviews. We used principal component analysis to characterize the EDC mixture profiles. Stratified linear regression models were fit to assess associations between PCP use and EDC mixture profiles, quantified as mean differences in PC scores, by SES group. Associations between PCP use and EDC mixture profiles varied by SES group; e.g., vaginal powder use was associated with a mixture of phenols among lower SES women, whereas this association was null for higher SES women. Findings suggest that SES influences PCP EDC exposure in Black women, which has implications for public health interventions.
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Affiliation(s)
- Samantha Schildroth
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachussetts 02118, United States
| | - Traci N Bethea
- Office of Minority Health & Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington D. C. 20007, United States
| | - Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachussetts 02118, United States
| | - Alexa Friedman
- National Institute of Environmental Health Sciences, Durham, North Carolina 27709, United States
| | - Victoria Fruh
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts 02118, United States
| | - Antonia M Calafat
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, United States
| | - Ganesa Wegienka
- Henry Ford Health System, Detroit, Michigan 48202, United States
| | - Symielle Gaston
- National Institute of Environmental Health Sciences, Durham, North Carolina 27709, United States
| | - Donna D Baird
- National Institute of Environmental Health Sciences, Durham, North Carolina 27709, United States
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachussetts 02118, United States
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts 02118, United States
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Zhou ES, Revette A, Ritterband LM, Bethea TN, Delp L, Simmons PD, Rosenberg L. Developing a culturally tailored digital health intervention for insomnia in Black women. Transl Behav Med 2024; 14:117-126. [PMID: 37715959 DOI: 10.1093/tbm/ibad056] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/18/2023] Open
Abstract
Insomnia disorder is highly prevalent among Black women. Cognitive-behavioral therapy for insomnia (CBT-I) is considered the optimal treatment, but very little efficacy research has been conducted in minority populations. Culturally tailoring intervention content may increase participant engagement and improve treatment outcomes. We culturally tailored an Internet-delivered CBT-I program (Sleep Healthy Using the Internet; SHUTi) for Black women. First, relevant stakeholders were identified. Semi-structured interviews were conducted after stakeholders completed each of the six SHUTi intervention sessions. Questions focused on improving program relatability and engagement for Black women. Key themes pertinent to peripheral, evidential, and sociocultural strategies for cultural adaptation were identified using thematic content analysis, and adaptation recommendations were developed. A total of 50 interviews, across 9 stakeholders, were conducted. Two overarching themes were identified: (i) there was limited visual African American representation, and (ii) there was a lack of diversity in the environments and lifestyles of the patient vignettes. Respondents provided peripheral, evidential, and sociocultural recommendations for program modifications, emphasizing the importance of race-concordant visual content and didactic content exploring the diverse cultural and social contexts in which insomnia occurs for Black women. As more diverse patients seek evidence-based insomnia treatment, digital health interventions must consider whether it is therapeutically important to address and tailor for cultural differences. Here, stakeholders made clear recommendations for taking cultural contexts into account to improve patient engagement with the program. Further research should work to understand the extent to which culturally tailored interventions are beneficial for health outcomes among minority populations.
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Affiliation(s)
- Eric S Zhou
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anna Revette
- Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Lee M Ritterband
- Psychiatry and Neurobehavioral Sciences, University of Virginia Health System, Charlottesville, VA, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington DC, USA
| | - Lauren Delp
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | | | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA, USA
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7
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Petrick JL, Joslin CE, Johnson CE, Camacho TF, Peres LC, Bandera EV, Barnard ME, Beeghly A, Bethea TN, Dempsey LF, Guertin K, Harris HR, Moorman PG, Myers ER, Ochs-Balcom HM, Rosenow W, Setiawan VW, Wu AH, Schildkraut JM, Rosenberg L. Menopausal hormone therapy use and risk of ovarian cancer by race: the ovarian cancer in women of African ancestry consortium. Br J Cancer 2023; 129:1956-1967. [PMID: 37865688 PMCID: PMC10703895 DOI: 10.1038/s41416-023-02407-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 08/01/2023] [Accepted: 08/17/2023] [Indexed: 10/23/2023] Open
Abstract
BACKGROUND Most studies examining post-menopausal menopausal hormone therapy (MHT) use and ovarian cancer risk have focused on White women and few have included Black women. METHODS We evaluated MHT use and ovarian cancer risk in Black (n = 800 cases, 1783 controls) and White women (n = 2710 cases, 8556 controls), using data from the Ovarian Cancer in Women of African Ancestry consortium. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association of MHT use with ovarian cancer risk, examining histotype, MHT type and duration of use. RESULTS Long-term MHT use, ≥10 years, was associated with an increased ovarian cancer risk for White women (OR = 1.38, 95%CI: 1.22-1.57) and the association was consistent for Black women (OR = 1.20, 95%CI: 0.81-1.78, pinteraction = 0.4). For White women, the associations between long-term unopposed estrogen or estrogen plus progesterone use and ovarian cancer risk were similar; the increased risk associated with long-term MHT use was confined to high-grade serous and endometroid tumors. Based on smaller numbers for Black women, the increased ovarian cancer risk associated with long-term MHT use was apparent for unopposed estrogen use and was predominately confined to other epithelial histotypes. CONCLUSION The association between long-term MHT use and ovarian cancer risk was consistent for Black and White women.
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Affiliation(s)
| | - Charlotte E Joslin
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago School of Medicine, Chicago, IL, USA
- Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, IL, USA
| | - Courtney E Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - T Fabian Camacho
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Lauren C Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | | | - Alicia Beeghly
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington, DC, USA
| | - Lauren F Dempsey
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kristin Guertin
- Department of Public Health Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Patricia G Moorman
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Evan R Myers
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, NC, USA
| | - Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Will Rosenow
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - V Wendy Setiawan
- University of Southern California Norris Comprehensive Cancer Center and Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Anna H Wu
- University of Southern California Norris Comprehensive Cancer Center and Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA, USA
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8
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Payne CE, Rockson A, Ashrafi A, McDonald JA, Bethea TN, Barrett ES, Llanos AAM. Beauty Beware: Associations between Perceptions of Harm and Safer Hair-Product-Purchasing Behaviors in a Cross-Sectional Study of Adults Affiliated with a University in the Northeast. Int J Environ Res Public Health 2023; 20:7129. [PMID: 38063560 PMCID: PMC10706836 DOI: 10.3390/ijerph20237129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/21/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023]
Abstract
(1) Background: Widespread personal care product (PCP) use can expose individuals to endocrine-disrupting chemicals (EDCs) associated with adverse health outcomes. This study investigated the association between harm perceptions and hair-product-purchasing behaviors in adults enrolled in a cross-sectional study. (2) Methods: Respondents rated their agreement with five PCP-related harm statements using a five-point Likert scale. Multivariable-adjusted logistic regression models were used to examine the associations between harm perceptions with hair-product-purchasing behaviors and hair product use (i.e., number of products used). (3) Results: Among 567 respondents (non-Hispanic White, 54.9%; non-Hispanic Black, 9.5%; Hispanic/Latinx, 10.1%; Asian American/Pacific Islander, 20.1%; and multiracial/other, 5.5%), stronger harm perceptions around PCP use were associated with potentially "safer" hair-product-purchasing behaviors. Respondents who strongly agreed that consumers should be concerned about the health effects of PCPs had more than fourfold increased odds of always/usually using healthy product apps (OR 4.10, 95% CI: 2.04-8.26); reading ingredient labels (OR 4.53, 95% CI: 2.99-6.87); and looking for natural, non-toxic, or eco-friendly product labels (OR 4.53, 95% CI: 2.99-6.88) when buying hair products. (4) Conclusions: Promoting environmental health literacy and raising awareness of potential PCP use-related harms might encourage healthier hair product use behaviors.
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Affiliation(s)
- Cathryn E. Payne
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY 10032, USA; (C.E.P.); (A.R.)
| | - Amber Rockson
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY 10032, USA; (C.E.P.); (A.R.)
| | - Adiba Ashrafi
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY 10032, USA; (C.E.P.); (A.R.)
| | - Jasmine A. McDonald
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY 10032, USA; (C.E.P.); (A.R.)
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Traci N. Bethea
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA;
| | - Emily S. Barrett
- Department of Biostatistics & Epidemiology, Rutgers School of Public Health, Piscataway, NJ 08854, USA;
- Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ 08854, USA
| | - Adana A. M. Llanos
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY 10032, USA; (C.E.P.); (A.R.)
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
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9
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Jayasekera J, El Kefi S, Fernandez JR, Wojcik KM, Woo JMP, Ezeani A, Ish JL, Bhattacharya M, Ogunsina K, Chang CJ, Cohen CM, Ponce S, Kamil D, Zhang J, Le R, Ramanathan AL, Butera G, Chapman C, Grant SJ, Lewis-Thames MW, Dash C, Bethea TN, Forde AT. Opportunities, challenges, and future directions for simulation modeling the effects of structural racism on cancer mortality in the United States: a scoping review. J Natl Cancer Inst Monogr 2023; 2023:231-245. [PMID: 37947336 PMCID: PMC10637025 DOI: 10.1093/jncimonographs/lgad020] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/23/2023] [Accepted: 07/03/2023] [Indexed: 11/12/2023] Open
Abstract
PURPOSE Structural racism could contribute to racial and ethnic disparities in cancer mortality via its broad effects on housing, economic opportunities, and health care. However, there has been limited focus on incorporating structural racism into simulation models designed to identify practice and policy strategies to support health equity. We reviewed studies evaluating structural racism and cancer mortality disparities to highlight opportunities, challenges, and future directions to capture this broad concept in simulation modeling research. METHODS We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review Extension guidelines. Articles published between 2018 and 2023 were searched including terms related to race, ethnicity, cancer-specific and all-cause mortality, and structural racism. We included studies evaluating the effects of structural racism on racial and ethnic disparities in cancer mortality in the United States. RESULTS A total of 8345 articles were identified, and 183 articles were included. Studies used different measures, data sources, and methods. For example, in 20 studies, racial residential segregation, one component of structural racism, was measured by indices of dissimilarity, concentration at the extremes, redlining, or isolation. Data sources included cancer registries, claims, or institutional data linked to area-level metrics from the US census or historical mortgage data. Segregation was associated with worse survival. Nine studies were location specific, and the segregation measures were developed for Black, Hispanic, and White residents. CONCLUSIONS A range of measures and data sources are available to capture the effects of structural racism. We provide a set of recommendations for best practices for modelers to consider when incorporating the effects of structural racism into simulation models.
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Affiliation(s)
- Jinani Jayasekera
- Division of Intramural Research at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Safa El Kefi
- NYU Langone Health, New York University, New York, NY, USA
| | - Jessica R Fernandez
- Division of Intramural Research at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Kaitlyn M Wojcik
- Division of Intramural Research at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer M P Woo
- Epidemiology Branch at the National Institute of Environmental Health Sciences at the National Institutes of Health, Bethesda, MD, USA
| | - Adaora Ezeani
- Health Behaviors Research Branch of the Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | - Jennifer L Ish
- Epidemiology Branch at the National Institute of Environmental Health Sciences at the National Institutes of Health, Bethesda, MD, USA
| | - Manami Bhattacharya
- Cancer Prevention Fellowship Program, Division of Cancer Prevention, and the Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | - Kemi Ogunsina
- Epidemiology Branch at the National Institute of Environmental Health Sciences at the National Institutes of Health, Bethesda, MD, USA
| | - Che-Jung Chang
- Epidemiology Branch at the National Institute of Environmental Health Sciences at the National Institutes of Health, Bethesda, MD, USA
| | - Camryn M Cohen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Stephanie Ponce
- Division of Intramural Research at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Dalya Kamil
- Division of Intramural Research at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Julia Zhang
- Division of Intramural Research at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
- Sophomore at Williams College, Williamstown, MA, USA
| | - Randy Le
- Division of Intramural Research at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Amrita L Ramanathan
- Diabetes, Endocrinology, & Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Gisela Butera
- Office of Research Services, National Institutes of Health Library, Bethesda, MD, USA
| | - Christina Chapman
- Department of Radiation Oncology, Baylor College of Medicine, and the Center for Innovations in Quality, Effectiveness, and Safety in the Department of Medicine, Baylor College of Medicine and the Houston Veterans Affairs, Houston, TX, USA
| | - Shakira J Grant
- Department of Medicine, Division of Hematology, University of North Carolina, Chapel Hill, NC, USA
| | - Marquita W Lewis-Thames
- Department of Medical Social Science, Center for Community Health at Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Chiranjeev Dash
- Office of Minority Health and Health Disparities Research at the Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research at the Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Allana T Forde
- Division of Intramural Research at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
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10
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Nakamura ZM, Small BJ, Zhai W, Ahles TA, Ahn J, Artese AL, Bethea TN, Breen EC, Cohen HJ, Extermann M, Graham D, Irwin MR, Isaacs C, Jim HSL, Kuhlman KR, McDonald BC, Patel SK, Rentscher KE, Root JC, Saykin AJ, Tometich DB, Van Dyk K, Zhou X, Mandelblatt JS, Carroll JE. Depressive symptom trajectories in older breast cancer survivors: the Thinking and Living with Cancer Study. J Cancer Surviv 2023:10.1007/s11764-023-01490-2. [PMID: 37924476 DOI: 10.1007/s11764-023-01490-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/21/2023] [Indexed: 11/06/2023]
Abstract
PURPOSE To identify trajectories of depressive symptoms in older breast cancer survivors and demographic, psychosocial, physical health, and cancer-related predictors of these trajectories. METHODS Recently diagnosed nonmetastatic breast cancer survivors (n = 272), ages 60-98 years, were evaluated for depressive symptoms (Center for Epidemiological Studies Depression Scale, CES-D; scores ≥16 suggestive of clinically significant depressive symptoms). CES-D scores were analyzed in growth-mixture models to determine depression trajectories from baseline (post-surgery, pre-systemic therapy) through 3-year annual follow-up. Multivariable, multinomial logistic regression was used to identify baseline predictors of depression trajectories. RESULTS Survivors had three distinct trajectories: stable (84.6%), emerging depressive symptoms (10.3%), and recovery from high depressive symptoms at baseline that improved slowly over time (5.1%). Compared to stable survivors, those in the emerging (OR = 1.16; 95% CI = 1.08-1.23) or recovery (OR = 1.26; 95% CI = 1.15-1.38) groups reported greater baseline anxiety. Greater baseline deficit accumulation (frailty composite measure) was associated with emerging depressive symptoms (OR = 3.71; 95% CI = 1.90-7.26). Less social support at baseline (OR = 0.38; 95% CI = 0.15-0.99), but greater improvement in emotional (F = 4.13; p = 0.0006) and tangible (F = 2.86; p = 0.01) social support over time, was associated with recovery from depressive symptoms. CONCLUSIONS Fifteen percent of older breast cancer survivors experienced emerging or recovery depressive symptom trajectories. Baseline anxiety, deficit accumulation, and lower social support were associated with worse outcomes. IMPLICATIONS FOR CANCER SURVIVORS Our results emphasize the importance of depression screening throughout the course of cancer care to facilitate early intervention. Factors associated with depressive symptoms, including lower levels of social support proximal to diagnosis, could serve as intervention levers.
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Affiliation(s)
- Zev M Nakamura
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Drive, Campus Box #7160, Chapel Hill, NC, 27599, USA.
| | - Brent J Small
- School of Aging Studies, University of South Florida, and Health Outcomes and Behavior Program, Moffitt Cancer Center, Tampa, FL, USA
| | - Wanting Zhai
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Tim A Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Ashley L Artese
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Traci N Bethea
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Elizabeth C Breen
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Harvey J Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Martine Extermann
- Department of Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA
| | - Deena Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Michael R Irwin
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Claudine Isaacs
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Heather S L Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Kate R Kuhlman
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychological Science, University of California, Irvine, CA, USA
- Institute for Interdisciplinary Salivary Bioscience Research, School of Social Ecology, University of California, Irvine, CA, USA
| | - Brenna C McDonald
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sunita K Patel
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Kelly E Rentscher
- Department of Psychiatry and Behavioral Medicine, MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - James C Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Danielle B Tometich
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Xingtao Zhou
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Jeanne S Mandelblatt
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Judith E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
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11
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Geller RJ, Wesselink AK, Upson K, Claus Henn B, Schildroth S, Wright R, Coleman CM, Willis MD, Bethea TN, Williams PL, Harmon QE, Baird DD, Wegienka G, Wise LA. Correlates of whole blood metal concentrations among reproductive-aged Black women. J Expo Sci Environ Epidemiol 2023; 33:883-894. [PMID: 36104525 PMCID: PMC10011018 DOI: 10.1038/s41370-022-00477-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 09/01/2022] [Accepted: 09/01/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Metals may influence reproductive health, but few studies have investigated correlates of metal body burden among reproductive-aged women outside of pregnancy. Furthermore, while there is evidence of racial disparities in exposure to metals among U.S. women, there is limited research about correlates of metal body burden among Black women. OBJECTIVE To identify correlates of whole blood metal concentrations among reproductive-aged Black women. METHODS We analyzed cross-sectional data from a cohort of 1664 Black women aged 23-35 years in Detroit, Michigan, 2010-2012. We collected blood samples and questionnaire data. We measured concentrations of 17 metals in whole blood using inductively-coupled plasma-mass spectrometer-triple quadrupole and total mercury using Direct Mercury Analyzer-80. We used multivariable linear regression models to identify sociodemographic, environmental, reproductive, and dietary correlates of individual metal concentrations. RESULTS In adjusted models, age was positively associated with multiple metals, including arsenic, cadmium, and mercury. Education and income were inversely associated with cadmium and lead. Current smoking was strongly, positively associated with cadmium and lead. Alcohol intake in the past year was positively associated with arsenic, barium, copper, lead, mercury, vanadium, and zinc. Having pumped gasoline in the past 24 h was positively associated with cadmium, chromium, and molybdenum. Having lived in an urban area for the majority of residence in Michigan was positively associated with arsenic, lead, and nickel. Higher water intake in the past year was positively associated with several metals, including lead. Fish intake in the past year was positively associated with arsenic, cesium, and mercury. We also observed associations with body mass index, season, and other environmental, reproductive, and dietary factors. SIGNIFICANCE We identified potential sources of exposure to metals among reproductive-aged Black women. Our findings improve understanding of exposures to metals among non-pregnant reproductive-aged women, and can inform policies in support of reducing disparities in exposures. IMPACT STATEMENT There are racial disparities in exposures to metals. We analyzed correlates of blood metal concentrations among reproductive-aged Black women in the Detroit, Michigan metropolitan area. We identified sociodemographic, anthropometric, lifestyle, environmental, reproductive, and dietary correlates of metal body burden. Age was positively associated with several metals. Education and income were inversely associated with cadmium and lead, indicating socioeconomic disparities. We identified potential exposure sources of metals among reproductive-aged Black women, including smoking, environmental tobacco smoke, pumping gasoline, living in an urban area, and intake of alcohol, water, fish, and rice.
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Affiliation(s)
- Ruth J Geller
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Kristen Upson
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Samantha Schildroth
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Robert Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Chad M Coleman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- School of Biological and Population Health Science, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Paige L Williams
- Departments of Biostatistics and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Quaker E Harmon
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Donna D Baird
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Ganesa Wegienka
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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12
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Rentscher KE, Bethea TN, Zhai W, Small BJ, Zhou X, Ahles TA, Ahn J, Breen EC, Cohen HJ, Extermann M, Graham DM, Jim HS, McDonald BC, Nakamura ZM, Patel SK, Root JC, Saykin AJ, Van Dyk K, Mandelblatt JS, Carroll JE. Epigenetic aging in older breast cancer survivors and noncancer controls: preliminary findings from the Thinking and Living with Cancer Study. Cancer 2023; 129:2741-2753. [PMID: 37259669 PMCID: PMC10659047 DOI: 10.1002/cncr.34818] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 03/22/2023] [Accepted: 03/29/2023] [Indexed: 06/02/2023]
Abstract
BACKGROUND Cancer and its treatments may accelerate aging in survivors; however, research has not examined epigenetic markers of aging in longer term breast cancer survivors. This study examined whether older breast cancer survivors showed greater epigenetic aging than noncancer controls and whether epigenetic aging related to functional outcomes. METHODS Nonmetastatic breast cancer survivors (n = 89) enrolled prior to systemic therapy and frequency-matched controls (n = 101) ages 62 to 84 years provided two blood samples to derive epigenetic aging measures (Horvath, Extrinsic Epigenetic Age [EEA], PhenoAge, GrimAge, Dunedin Pace of Aging) and completed cognitive (Functional Assessment of Cancer Therapy-Cognitive Function) and physical (Medical Outcomes Study Short Form-12) function assessments at approximately 24 to 36 and 60 months after enrollment. Mixed-effects models tested survivor-control differences in epigenetic aging, adjusting for age and comorbidities; models for functional outcomes also adjusted for racial group, site, and cognitive reserve. RESULTS Survivors were 1.04 to 2.22 years biologically older than controls on Horvath, EEA, GrimAge, and DunedinPACE measures (p = .001-.04) at approximately 24 to 36 months after enrollment. Survivors exposed to chemotherapy were 1.97 to 2.71 years older (p = .001-.04), and among this group, an older EEA related to worse self-reported cognition (p = .047) relative to controls. An older epigenetic age related to worse physical function in all women (p < .001-.01). Survivors and controls showed similar epigenetic aging over time, but Black survivors showed accelerated aging over time relative to non-Hispanic White survivors. CONCLUSION Older breast cancer survivors, particularly those exposed to chemotherapy, showed greater epigenetic aging than controls that may relate to worse outcomes. If replicated, measurement of biological aging could complement geriatric assessments to guide cancer care for older women.
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Affiliation(s)
- Kelly E. Rentscher
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee WI
- Norman Cousins Center for Psychoneuroimmunology, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
| | - Traci N. Bethea
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - Wanting Zhai
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - Brent J. Small
- School of Aging Studies, University of South Florida, Tampa, FL
| | - Xingtao Zhou
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - Tim A. Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - Elizabeth C. Breen
- Norman Cousins Center for Psychoneuroimmunology, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA
| | - Harvey Jay Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC
| | | | - Deena M.A. Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ
| | | | - Brenna C. McDonald
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN
| | - Zev M. Nakamura
- Department of Psychiatry, University of North Carolina–Chapel Hill, Chapel Hill, NC
| | | | - James C. Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN
| | - Kathleen Van Dyk
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
| | | | - Judith E. Carroll
- Norman Cousins Center for Psychoneuroimmunology, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
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13
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Mandelblatt JS, Small BJ, Zhou X, Nakamura ZM, Cohen HJ, Ahles TA, Ahn J, Bethea TN, Extermann M, Graham D, Isaacs C, Jacobsen PB, Jim HSL, McDonald BC, Patel SK, Rentscher KE, Root JC, Saykin AJ, Tometich DB, Van Dyk K, Zhai W, Breen EC, Carroll JE. Plasma levels of interleukin-6 mediate neurocognitive performance in older breast cancer survivors: The Thinking and Living With Cancer study. Cancer 2023; 129:2409-2421. [PMID: 37096888 PMCID: PMC10750797 DOI: 10.1002/cncr.34784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 02/08/2023] [Accepted: 03/03/2023] [Indexed: 04/26/2023]
Abstract
BACKGROUND Immune activation/inflammation markers (immune markers) were tested to explain differences in neurocognition among older breast cancer survivors versus noncancer controls. METHODS Women >60 years old with primary breast cancer (stages 0-III) (n = 400) were assessed before systemic therapy with frequency-matched controls (n = 329) and followed annually to 60 months; blood was collected during annual assessments from 2016 to 2020. Neurocognition was measured by tests of attention, processing speed, and executive function (APE). Plasma levels of interleukin-6 (IL-6), IL-8, IL-10, tumor necrosis factor α (TNF-α), and interferon γ were determined using multiplex testing. Mixed linear models were used to compare results of immune marker levels by survivor/control group by time and by controlling for age, racial/ethnic group, cognitive reserve, and study site. Covariate-adjusted multilevel mediation analyses tested whether survivor/control group effects on cognition were explained by immune markers; secondary analyses examined the impact of additional covariates (e.g., comorbidity and obesity) on mediation effects. RESULTS Participants were aged 60-90 years (mean, 67.7 years). Most survivors had stage I (60.9%) estrogen receptor-positive tumors (87.6%). Survivors had significantly higher IL-6 levels than controls before systemic therapy and at 12, 24, and 60 months (p ≤ .001-.014) but there were no differences for other markers. Survivors had lower adjusted APE scores than controls (p < .05). Levels of IL-6, IL-10, and TNF-α were related to APE, with IL-6 explaining part of the relationship between survivor/control group and APE (p = .01). The magnitude of this mediation effect decreased but remained significant (p = .047) after the consideration of additional covariates. CONCLUSIONS Older breast cancer survivors had worse long-term neurocognitive performance than controls, and this relationship was explained in part by elevated IL-6.
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Affiliation(s)
- Jeanne S Mandelblatt
- Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
- Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University's Lombardi Comprehensive Cancer Center, Washington, DC, USA
- Cancer Prevention and Control Program, Georgetown University's Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Brent J Small
- School of Aging Studies, University of South Florida, Tampa, Florida, USA
| | - Xingtao Zhou
- Department of Biostatistics, Bioinformatics, and Biomathematics, Department of Oncology and Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Zev M Nakamura
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Harvey J Cohen
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, North Carolina, USA
| | - Tim A Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Department of Oncology and Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Traci N Bethea
- Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
- Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University's Lombardi Comprehensive Cancer Center, Washington, DC, USA
- Cancer Prevention and Control Program, Georgetown University's Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Martine Extermann
- Department of Oncology, H. Lee Moffitt Cancer Center and Research Institute, University of South Florida, Tampa, Florida, USA
| | - Deena Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, New Jersey, USA
| | - Claudine Isaacs
- Georgetown Lombardi Comprehensive Cancer Center, Department of Oncology, Department of Medicine, Georgetown University, Washington, DC, USA
| | - Paul B Jacobsen
- Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Heather S L Jim
- Cancer Prevention and Control Program, H. Lee Moffitt Comprehensive Cancer Center, Tampa, Florida, USA
| | - Brenna C McDonald
- Department of Radiology and Imaging Sciences, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Sunita K Patel
- City of Hope National Medical Center, Los Angeles, California, USA
| | - Kelly E Rentscher
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, California, USA
| | - James C Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Danielle B Tometich
- Cancer Prevention and Control Program, H. Lee Moffitt Comprehensive Cancer Center, Tampa, Florida, USA
| | - Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, California, USA
| | - Wanting Zhai
- Department of Biostatistics, Bioinformatics, and Biomathematics, Department of Oncology and Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Elizabeth C Breen
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, California, USA
| | - Judith E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, California, USA
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14
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Harris HR, Peres LC, Johnson CE, Guertin KA, Beeghly A, Bandera EV, Bethea TN, Joslin CE, Wu AH, Moorman PG, Ochs-Balcom HM, Petrick JL, Setiawan VW, Rosenberg L, Schildkraut JM, Myers E. Racial Differences in the Association of Endometriosis and Uterine Leiomyomas With the Risk of Ovarian Cancer. Obstet Gynecol 2023; 141:1124-1138. [PMID: 37159277 PMCID: PMC10440275 DOI: 10.1097/aog.0000000000005191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 03/02/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVE To evaluate associations between endometriosis and uterine leiomyomas with ovarian cancer risk by race and the effect of hysterectomy on these associations. METHODS We used data from four case-control studies and two case-control studies nested within prospective cohorts in the OCWAA (Ovarian Cancer in Women of African Ancestry) consortium. The study population included 3,124 Black participants and 5,458 White participants, of whom 1,008 Black participants and 2,237 White participants had ovarian cancer. Logistic regression was used to calculate odds ratios (ORs) and 95% CIs for the associations of endometriosis and leiomyomas with ovarian cancer risk, by race, stratified by histotype and hysterectomy. RESULTS The prevalences of endometriosis and leiomyomas were 6.4% and 43.2% among Black participants and 7.0% and 21.5% among White participants, respectively. Endometriosis was associated with an increased risk of endometrioid and clear-cell ovarian cancer in both racial groups (eg, OR for endometrioid tumors for Black and White participants 7.06 [95% CI 3.86-12.91] and 2.17 [95% CI 1.36-3.45], respectively, Phetereogeneity =.003). The association between endometriosis and ovarian cancer risk in White participants was stronger in those without hysterectomy, but no difference was observed in Black participants (all Pinteraction ≥.05). Leiomyomas were associated with an elevated risk of ovarian cancer only in those without hysterectomy in both Black (OR 1.34, 95% CI 1.11-1.62) and White (OR 1.22, 95% CI 1.05-1.41) participants (all Pinteraction ≥.05). CONCLUSIONS Black and White participants with endometriosis had a higher risk of ovarian cancer, and hysterectomy modified this association among White participants. Leiomyomas were associated with an increased risk of ovarian cancer in both racial groups, with hysterectomy modifying the risk in both groups. Understanding how racial differences in access to care and treatment options (eg, hysterectomy) may help guide future risk reduction strategies.
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Affiliation(s)
- Holly R. Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Lauren C. Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Courtney E. Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kristin A. Guertin
- Department of Public Health Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Alicia Beeghly
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Elisa V. Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Traci N. Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington, DC, USA
| | - Charlotte E. Joslin
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago School of Medicine, Chicago, IL, USA
- Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, IL, USA
| | - Anna H. Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Patricia G. Moorman
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Heather M. Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | | | - Veronica W. Setiawan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Joellen M. Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Evan Myers
- Department of Family Medicine and Community Health, Durham, NC, USA
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15
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Mandelblatt JS, Ruterbusch JJ, Thompson HS, Zhou X, Bethea TN, Adams-Campbell L, Purrington K, Schwartz AG. Association between major discrimination and deficit accumulation in African American cancer survivors: The Detroit Research on Cancer Survivors Study. Cancer 2023; 129:1557-1568. [PMID: 36935617 PMCID: PMC10568940 DOI: 10.1002/cncr.34673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/25/2022] [Accepted: 12/16/2022] [Indexed: 03/21/2023]
Abstract
BACKGROUND Discrimination can adversely affect health and accelerate aging, but little is known about these relationships in cancer survivors. This study examines associations of discrimination and aging among self-identified African American survivors. METHODS A population-based sample of 2232 survivors 20-79 years old at diagnosis were enrolled within 5 years of breast (n = 787), colorectal (n = 227), lung (n = 223), or prostate (n = 995) cancer between 2017 and 2022. Surveys were completed post-active therapy. A deficit accumulation index measured aging-related disease and function (score range, 0-1, where <0.20 is robust, 0.20 to <0.35 is pre-frail, and 0.35+ is frail; 0.06 is a large clinically meaningful difference). The discrimination scale assessed ever experiencing major discrimination and seven types of events (score, 0-7). Linear regression tested the association of discrimination and deficit accumulation, controlling for age, time from diagnosis, cancer type, stage and therapy, and sociodemographic variables. RESULTS Survivors were an average of 62 years old (SD, 9.6), 63.2% reported ever experiencing major discrimination, with an average of 2.4 (SD, 1.7) types of discrimination events. Only 24.4% had deficit accumulation scores considered robust (mean score, 0.30 [SD, 0.13]). Among those who reported ever experiencing major discrimination, survivors with four to seven types of discrimination events (vs. 0-1) had a large, clinically meaningful increase in adjusted deficits (0.062, p < .001) and this pattern was consistent across cancer types. CONCLUSION African American cancer survivors have high deficit accumulated index scores, and experiences of major discrimination were positively associated with these deficits. Future studies are needed to understand the intersectionality between aging, discrimination, and cancer survivorship among diverse populations.
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Affiliation(s)
- Jeanne S. Mandelblatt
- Department of Oncology, Cancer Prevention and Control Program, Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia, USA
- Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University, Washington, District of Columbia, USA
| | - Julie J. Ruterbusch
- Department of Oncology, Wayne State University, Detroit, Michigan, USA
- Karmanos Cancer Institute, Detroit, Michigan, USA
| | - Hayley S. Thompson
- Department of Oncology, Wayne State University, Detroit, Michigan, USA
- Karmanos Cancer Institute, Detroit, Michigan, USA
| | - Xingtao Zhou
- Department of Oncology, Cancer Prevention and Control Program, Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia, USA
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia, USA
- Office of Minority Health and Health Disparities Research, Georgetown University, Washington, District of Columbia, USA
| | - Traci N. Bethea
- Department of Oncology, Cancer Prevention and Control Program, Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia, USA
| | - Lucile Adams-Campbell
- Department of Oncology, Cancer Prevention and Control Program, Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia, USA
| | - Kristen Purrington
- Department of Oncology, Wayne State University, Detroit, Michigan, USA
- Karmanos Cancer Institute, Detroit, Michigan, USA
| | - Ann G. Schwartz
- Department of Oncology, Wayne State University, Detroit, Michigan, USA
- Karmanos Cancer Institute, Detroit, Michigan, USA
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16
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Bethea TN, Hicks J, Speiser E, Llanos A, Starr GE, Dash C, Adams-Campbell LL. Abstract P3-03-06: A pilot study of personal care product use and exposure to environmental chemicals among Black and Hispanic breast cancer survivors. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-p3-03-06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Abstract
Objectives and rationale: Racial and ethnic minorities are disproportionately exposed to environmental chemicals that have been linked to cardiovascular disease, cognitive decline, metabolic disease, and premature mortality. Recent evidence suggests that personal care products are a source of such exposures and that these products are more frequently used among Black and Hispanic women. Minoritized populations also tend to experience worse breast cancer outcomes compared to White patients. However, few studies have examined personal care product use and environmental exposures among minority cancer survivors. The aim of the present study was to describe personal care product use and chemical exposures, including ambient and dermal sources of exposure, in a pilot study of Black and Hispanic breast cancer survivors. Methods: In November 2020 – December 2021, self-identified Black and Hispanic breast cancer survivors aged ≥21 years were recruited in Washington, DC and Hackensack, NJ. Eligible survivors had been diagnosed with primary Stage I-III breast cancer and had completed breast cancer treatment except endocrine therapy. Surveys collected data on demographics, breast cancer diagnosis, personal care product use, and potential covariates. Participants wore silicone wristbands for 1 week for passive sampling of environmental exposures. Extracts from the wristbands were assessed using a gas chromatograph-mass spectrometer to detect chemical exposures. Values were adjusted for wear time and wristband size to provide sample concentrations of detected chemicals. Results: Among the 25 study participants, 17 were Black and 8 were Hispanic, with a mean age of 58 years. Most survivors (58%) had been diagnosed with Stage I breast cancer. Survivors reported using perfume (52%), make-up (80%), and nail polish (68%) during the week, with common daily use of facial creams, lotions, or moisturizers (60%) and body creams, lotions, or moisturizers (68%). Drinking bottled water every day (64%) or most days (24%); eating prepared food from a fast food restaurant at least once per week (88%); and eating food reheated in a plastic container at least once per week (71%) were also prevalent. However, the majority of survivors reported never using pesticides indoors (76%) or outdoors (79%). The wristbands detected 60 distinct chemicals. On average, 21.8 chemicals were detected per wristband and 19 chemicals were detected in more than half of the samples. Exposure to flame retardants and pesticides was ubiquitous. All participants were exposed to chemicals found in personal care products and in commercial products. Several of the most commonly detected chemicals, including benzyl salicylate (a UV light absorber and fragrance), diisobutyl phthalate (a plasticizer), and lilial (a perfume), are biologically active compounds with potential genotoxic or endocrine effects. Discussion: Exposure to environmental chemicals was ubiquitous among Black and Hispanic breast cancer survivors in DC and New Jersey. Frequent use of personal care products and commercial products suggest an opportunity to reduce potentially harmful exposures. Future studies are needed to investigate the role of environmental chemicals in health outcomes among breast cancer survivors and whether environmental exposures contribute to cancer health disparities.
Citation Format: Traci N. Bethea, Jennifer Hicks, Erin Speiser, Adana Llanos, Gail E. Starr, Chiranjeev Dash, Lucile L. Adams-Campbell. A pilot study of personal care product use and exposure to environmental chemicals among Black and Hispanic breast cancer survivors [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P3-03-06.
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Affiliation(s)
| | | | | | - Adana Llanos
- 4Columbia University Mailman School of Public Health, Department of Epidemiology
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Mandelblatt JS, Small BJ, Zhou X, Nakamura ZM, Cohen HJ, Ahles TA, Ahn J, Bethea TN, Extermann M, Jim HS, McDonald BC, Patel SK, Rentscher K, Root J, Saykin AJ, Dyk KV, Zhai W, Breen EC, Carroll JE. Abstract A012: Differences in attention, processing speed, and executive function in older breast cancer survivors compared to controls is partially explained by plasma IL-6: The Thinking and Living with Cancer (TLC) Study. Cancer Res 2023. [DOI: 10.1158/1538-7445.agca22-a012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Abstract
Purpose: Cancer-related cognitive problems may result from peripheral inflammation effects on the brain. We tested whether differences in cognitive performance between breast cancer survivors and non-cancer controls was explained by elevated inflammatory cytokines. Methods: We enrolled women >60 years, newly diagnosed with primary breast cancer (stage 0-III) (n=400) and frequency-matched non-cancer controls (n=329) from six national centers from 2010- 2020, with blood collection beginning in 2016. Baseline assessments occurred pre-systemic therapy (or enrollment for controls) with annual follow-up to 60-months. The primary outcome was the score on neurocognitive tests of the attention, processing speed and executive function (APE) domain. Plasma levels of IL-6, IL-10, and TNF-alpha were determined using multiplex testing and mixed linear models compared results for each marker across all timepoints by survivor/control group, adjusting for age, race, WRAT scores, recruitment site, comorbidities, and BMI. Multi-level mediation analyses tested the simultaneous direct effects of survivor/control group on cognition and indirect effects of group on each immune marker and the effect of the marker on cognition, controlling for covariates. Results: Participants had an average age of 67.7 years (range: 60-90). Most survivors had stage I (60.9%) estrogen-receptor positive (87.6%) tumors. Survivors had significantly higher adjusted IL-6 levels than controls at baseline, 12-, 24- and 60-months (p=< 0.001 to 0.014), but there were no differences for other markers. Survivors had lower adjusted APE scores than controls, and this effect was due to the indirect effects of being a survivor vs. control on IL-6 (p=0.047). Conclusion: Cancer and its treatments were related to poorer attention, processing speed, and executive function compared to non-cancer frequency matched controls, and this difference was partially explained by elevated IL-6.
Citation Format: Jeanne S. Mandelblatt, Brent J. Small, Xingtao Zhou, Zev M. Nakamura, Harvey J. Cohen, Tim A. Ahles, Jaeil Ahn, Traci N. Bethea, Martine Extermann, Heather S.L. Jim, Brenna C. McDonald, Sunita K. Patel, Kelly Rentscher, James Root, Andrew J. Saykin, Kathleen Van Dyk, Wanting Zhai, Elizabeth C. Breen, Judith E. Carroll. Differences in attention, processing speed, and executive function in older breast cancer survivors compared to controls is partially explained by plasma IL-6: The Thinking and Living with Cancer (TLC) Study [abstract]. In: Proceedings of the AACR Special Conference: Aging and Cancer; 2022 Nov 17-20; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_1):Abstract nr A012.
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Affiliation(s)
| | | | | | | | | | - Tim A. Ahles
- 6Memorial Sloan Kettering Cancer Center, New York, NY,
| | - Jaeil Ahn
- 3Georgetown University, Washington, DC,
| | | | | | | | | | | | | | - James Root
- 6Memorial Sloan Kettering Cancer Center, New York, NY,
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18
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Rentscher KE, Zhai W, Small BJ, Ahn J, Ahles TA, Bethea TN, Breen EC, Cohen HJ, Extermann M, Graham DM, Jacobsen PB, Jim HS, McDonald BC, Nakamura ZM, Patel SK, Root JC, Saykin AJ, Tometich DB, Dyk KMV, Zhou X, Mandelblatt JS, Carroll JE. Abstract B018: Long-term epigenetic aging in older breast cancer survivors and non-cancer controls: Preliminary findings from the Thinking and Living with Cancer (TLC) Stud. Cancer Res 2023. [DOI: 10.1158/1538-7445.agca22-b018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Abstract
Cancer and its treatments are thought to increase risk for accelerated aging in survivors, and biological aging may be a key mechanism; however, no research to date has examined epigenetic markers of aging in long-term breast cancer survivors. We used data from the Thinking and Living with Cancer (TLC) study to examine whether older breast cancer survivors have accelerated epigenetic aging compared to non-cancer controls several years after treatment completion and whether epigenetic aging related to cognitive and physical function. Non-metastatic breast cancer survivors ages 62–84 years (n=89) and frequency-matched controls (n=101) provided two blood samples between 24- and 60-months post-diagnosis. DNA methylation profiling (Illumina Infinium EPIC array) derived epigenetic aging measures: Horvath, Hannum, PhenoAge, GrimAge, and Dunedin Pace of Aging Methylation. Participants completed neuropsychological testing and questionnaires to assess cognitive and physical function at each visit. Mixed-effects models adjusted for chronological age and comorbidities and applied false discovery rate correction for multiple testing. Survivors were 1.04–2.22 years older biologically than controls at the first blood sample based on Horvath, Hannum, and GrimAge measures (corrected ps=.025, .025, and .058, respectively), with marginal differences for Dunedin Pace of Aging (corrected p=.096); however, survivors and controls showed similar changes in epigenetic aging over time. Exposure to prior chemotherapy (with or without hormonal therapy; n=29) was associated with an epigenetic age 1.97–2.71 years older than controls (corrected ps=.005 to .065). Among survivors who received chemotherapy, an older Hannum epigenetic age was associated with poorer self-reported cognition relative to controls (coeff=-0.64, uncorrected p=.047; n.s. after correction). Older breast cancer survivors, particularly those receiving chemotherapy, showed an accelerated epigenetic aging profile compared to their peers without cancer at 24 months or more post-diagnosis, following the completion of active therapy. This study also provides preliminary evidence that survivors who received chemotherapy may be at increased risk for poorer age-related survivorship outcomes.
Citation Format: Kelly E. Rentscher, Wanting Zhai, Brent J. Small, Jaeil Ahn, Tim A. Ahles, Traci N. Bethea, Elizabeth C. Breen, Harvey J. Cohen, Martine Extermann, Deena M.A. Graham, Paul B. Jacobsen, Heather S.L. Jim, Brenna C. McDonald, Zev M. Nakamura, Sunita K. Patel, James C. Root, Andrew J. Saykin, Danielle B. Tometich, Kathleen M. Van Dyk, Xingtao Zhou, Jeanne S. Mandelblatt, Judith E. Carroll. Long-term epigenetic aging in older breast cancer survivors and non-cancer controls: Preliminary findings from the Thinking and Living with Cancer (TLC) Stud [abstract]. In: Proceedings of the AACR Special Conference: Aging and Cancer; 2022 Nov 17-20; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_1):Abstract nr B018.
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Affiliation(s)
| | | | | | - Jaeil Ahn
- 2Georgetown University, Washington, DC,
| | - Tim A. Ahles
- 4Memorial Sloan Kettering Cancer Center, New York, NY,
| | | | | | | | | | | | | | | | | | - Zev M. Nakamura
- 10University of North Carolina-Chapel Hill, Chapel Hill, NC,
| | | | - James C. Root
- 4Memorial Sloan Kettering Cancer Center, New York, NY,
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19
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Carroll JE, Nakamura ZM, Small BJ, Zhou X, Cohen HJ, Ahles TA, Ahn J, Bethea TN, Extermann M, Graham D, Isaacs C, Jim HS, Jacobsen PB, McDonald BC, Patel SK, Rentscher K, Root J, Saykin AJ, Tometich DB, Van Dyk K, Zhai W, Breen EC, Mandelblatt JS. Elevated C-Reactive Protein and Subsequent Patient-Reported Cognitive Problems in Older Breast Cancer Survivors: The Thinking and Living With Cancer Study. J Clin Oncol 2023; 41:295-306. [PMID: 36179271 PMCID: PMC9839283 DOI: 10.1200/jco.22.00406] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/24/2022] [Accepted: 07/26/2022] [Indexed: 01/25/2023] Open
Abstract
PURPOSE To examine longitudinal relationships between levels of C-reactive protein (CRP) and cognition in older breast cancer survivors and noncancer controls. METHODS English-speaking women age ≥ 60 years, newly diagnosed with primary breast cancer (stage 0-III), and frequency-matched controls were enrolled from September 2010 to March 2020; women with dementia, neurologic disorders, and other cancers were excluded. Assessments occurred presystemic therapy/enrollment and at annual visits up to 60 months. Cognition was measured using the Functional Assessment of Cancer Therapy-Cognitive Function and neuropsychological testing. Mixed linear effect models tested for survivor-control differences in natural log (ln)-transformed CRP at each visit. Random effect-lagged fluctuation models tested directional effects of ln-CRP on subsequent cognition. All models controlled for age, race, study site, cognitive reserve, obesity, and comorbidities; secondary analyses evaluated if depression or anxiety affected results. RESULTS There were 400 survivors and 329 controls with CRP specimens and follow-up data (average age of 67.7 years; range, 60-90 years). The majority of survivors had stage I (60.9%), estrogen receptor-positive (87.6%) tumors. Survivors had significantly higher adjusted mean ln-CRP than controls at baseline and 12-, 24-, and 60-month visits (all P < .05). Higher adjusted ln-CRP predicted lower participant-reported cognition on subsequent visits among survivors, but not controls (P interaction = .008); effects were unchanged by depression or anxiety. Overall, survivors had adjusted Functional Assessment of Cancer Therapy-Cognitive Function scores that were 9.5 and 14.2 points lower than controls at CRP levels of 3.0 and 10.0 mg/L. Survivors had poorer neuropsychological test performance (v controls), with significant interactions with CRP only for the Trails B test. CONCLUSION Longitudinal relationships between CRP and cognition in older breast cancer survivors suggest that chronic inflammation may play a role in development of cognitive problems. CRP testing could be clinically useful in survivorship care.
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Affiliation(s)
- Judith E. Carroll
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
| | - Zev M. Nakamura
- Department of Psychiatry, University of North Carolina–Chapel Hill, Chapel Hill, NC
| | - Brent J. Small
- School of Aging Studies, University of South Florida, Tampa, FL
| | - Xingtao Zhou
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC
| | - Harvey J. Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC
| | - Tim A. Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC
| | - Traci N. Bethea
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC
| | - Martine Extermann
- Department of Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL
| | - Deena Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ
| | - Claudine Isaacs
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC
| | | | - Paul B. Jacobsen
- Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Brenna C. McDonald
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN
| | | | - Kelly Rentscher
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
| | - James Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN
| | | | - Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
| | - Wanting Zhai
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC
| | - Elizabeth C. Breen
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
| | - Jeanne S. Mandelblatt
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC
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Llanos AAM, McDonald JA, Teteh DK, Bethea TN. Chemical Relaxers and Hair-Straightening Products: Potential Targets for Hormone-Related Cancer Prevention and Control. J Natl Cancer Inst 2022; 114:1567-1569. [PMID: 36245085 DOI: 10.1093/jnci/djac169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 08/23/2022] [Indexed: 01/11/2023] Open
Affiliation(s)
- Adana A M Llanos
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Jasmine A McDonald
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Dede K Teteh
- Department of Health Sciences, Crean College of Health and Behavioral Sciences, Chapman University, Orange, CA, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC, USA
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21
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Van Dyk K, Ahn J, Zhou X, Zhai W, Ahles TA, Bethea TN, Carroll JE, Cohen HJ, Dilawari AA, Graham D, Jacobsen PB, Jim H, McDonald BC, Nakamura ZM, Patel SK, Rentscher KE, Saykin AJ, Small BJ, Mandelblatt JS, Root JC. Associating persistent self-reported cognitive decline with neurocognitive decline in older breast cancer survivors using machine learning: The Thinking and Living with Cancer study. J Geriatr Oncol 2022; 13:1132-1140. [PMID: 36030173 PMCID: PMC10016202 DOI: 10.1016/j.jgo.2022.08.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 07/16/2022] [Accepted: 08/10/2022] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Many cancer survivors report cognitive problems following diagnosis and treatment. However, the clinical significance of patient-reported cognitive symptoms early in survivorship can be unclear. We used a machine learning approach to determine the association of persistent self-reported cognitive symptoms two years after diagnosis and neurocognitive test performance in a prospective cohort of older breast cancer survivors. MATERIALS AND METHODS We enrolled breast cancer survivors with non-metastatic disease (n = 435) and age- and education-matched non-cancer controls (n = 441) between August 2010 and December 2017 and followed until January 2020; we excluded women with neurological disease and all women passed a cognitive screen at enrollment. Women completed the FACT-Cog Perceived Cognitive Impairment (PCI) scale and neurocognitive tests of attention, processing speed, executive function, learning, memory and visuospatial ability, and timed activities of daily living assessments at enrollment (pre-systemic treatment) and annually to 24 months, for a total of 59 individual neurocognitive measures. We defined persistent self-reported cognitive decline as clinically meaningful decline (3.7+ points) on the PCI scale from enrollment to twelve months with persistence to 24 months. Analysis used four machine learning models based on data for change scores (baseline to twelve months) on the 59 neurocognitive measures and measures of depression, anxiety, and fatigue to determine a set of variables that distinguished the 24-month persistent cognitive decline group from non-cancer controls or from survivors without decline. RESULTS The sample of survivors and controls ranged in age from were ages 60-89. Thirty-three percent of survivors had self-reported cognitive decline at twelve months and two-thirds continued to have persistent decline to 24 months (n = 60). Least Absolute Shrinkage and Selection Operator (LASSO) models distinguished survivors with persistent self-reported declines from controls (AUC = 0.736) and survivors without decline (n = 147; AUC = 0.744). The variables that separated groups were predominantly neurocognitive test performance change scores, including declines in list learning, verbal fluency, and attention measures. DISCUSSION Machine learning may be useful to further our understanding of cancer-related cognitive decline. Our results suggest that persistent self-reported cognitive problems among older women with breast cancer are associated with a constellation of mild neurocognitive changes warranting clinical attention.
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Affiliation(s)
- Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, CA, United States of America; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, United States of America.
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, United States of America
| | - Xingtao Zhou
- Georgetown Lombardi Comprehensive Cancer Center Georgetown University, Washington, DC, United States of America
| | - Wanting Zhai
- Georgetown Lombardi Comprehensive Cancer Center Georgetown University, Washington, DC, United States of America
| | - Tim A Ahles
- Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Traci N Bethea
- Georgetown Lombardi Comprehensive Cancer Center Georgetown University, Washington, DC, United States of America
| | - Judith E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, CA, United States of America; Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, CA, United States of America
| | - Harvey Jay Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, United States of America
| | - Asma A Dilawari
- Georgetown Lombardi Comprehensive Cancer Center Georgetown University, Washington, DC, United States of America
| | - Deena Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, United States of America
| | - Paul B Jacobsen
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, United States of America
| | - Heather Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center and Research Institute, University of South Florida, Tampa, FL, United States of America
| | - Brenna C McDonald
- Center for Neuroimaging, Department of Radiology and Imaging Sciences and the Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Zev M Nakamura
- Department of Psychiatry, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States of America
| | - Sunita K Patel
- City of Hope National Medical Center, Los Angeles, CA, United States of America
| | - Kelly E Rentscher
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, CA, United States of America; Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, CA, United States of America
| | - Andrew J Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Sciences and the Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Brent J Small
- University of South Florida, Health Outcome and Behavior Program and Biostatistics Resource Core, H. Lee Moffitt Cancer Center, Research Institute at the University of South Florida, Tampa, FL, United States of America
| | - Jeanne S Mandelblatt
- Georgetown Lombardi Comprehensive Cancer Center Georgetown University, Washington, DC, United States of America
| | - James C Root
- Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
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22
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Ochs-Balcom HM, Johnson C, Guertin KA, Qin B, Beeghly-Fadiel A, Camacho F, Bethea TN, Dempsey LF, Rosenow W, Joslin CE, Myers E, Moorman PG, Harris HR, Peres LC, Wendy Setiawan V, Wu AH, Rosenberg L, Schildkraut JM, Bandera EV. Racial differences in the association of body mass index and ovarian cancer risk in the OCWAA Consortium. Br J Cancer 2022; 127:1983-1990. [PMID: 36138071 PMCID: PMC9681872 DOI: 10.1038/s41416-022-01981-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Obesity disproportionately affects African American (AA) women and has been shown to increase ovarian cancer risk, with some suggestions that the association may differ by race. METHODS We evaluated body mass index (BMI) and invasive epithelial ovarian cancer (EOC) risk in a pooled study of case-control and nested case-control studies including AA and White women. We evaluated both young adult and recent BMI (within the last 5 years). Associations were estimated using multi-level and multinomial logistic regression models. RESULTS The sample included 1078 AA cases, 2582 AA controls, 3240 White cases and 9851 White controls. We observed a higher risk for the non-high-grade serous (NHGS) histotypes for AA women with obesity (ORBMI 30+= 1.62, 95% CI: 1.16, 2.26) and White women with obesity (ORBMI 30+= 1.20, 95% CI: 1.02, 2.42) compared to non-obese. Obesity was associated with higher NHGS risk in White women who never used HT (ORBMI 30+= 1.40, 95% CI: 1.08, 1.82). Higher NHGS ovarian cancer risk was observed for AA women who ever used HT (ORBMI 30+= 2.66, 95% CI: 1.15, 6.13), while in White women, there was an inverse association between recent BMI and risk of EOC and HGS in ever-HT users (EOC ORBMI 30+= 0.81, 95% CI: 0.69, 0.95, HGS ORBMI 30+= 0.73, 95% CI: 0.61, 0.88). CONCLUSION Obesity contributes to NHGS EOC risk in AA and White women, but risk across racial groups studied differs by HT use and histotype.
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Affiliation(s)
- Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Courtney Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kristin A Guertin
- Department of Public Health Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Bo Qin
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Alicia Beeghly-Fadiel
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Fabian Camacho
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington DC, USA
| | - Lauren F Dempsey
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Will Rosenow
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Charlotte E Joslin
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago School of Medicine and Division of Epidemiology and Biostatistics, School of Public Health, Chicago, IL, USA
| | - Evan Myers
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Patricia G Moorman
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, NC, USA
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lauren C Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - V Wendy Setiawan
- University of Southern California Norris Comprehensive Cancer Center, and Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Anna H Wu
- University of Southern California Norris Comprehensive Cancer Center, and Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
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23
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Harris HR, Guertin KA, Camacho TF, Johnson CE, Wu AH, Moorman PG, Myers E, Bethea TN, Bandera EV, Joslin CE, Ochs-Balcom HM, Peres LC, Rosenow WT, Setiawan VW, Beeghly-Fadiel A, Dempsey LF, Rosenberg L, Schildkraut JM. Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry consortium. Int J Cancer 2022; 151:1228-1239. [PMID: 35633315 PMCID: PMC9420829 DOI: 10.1002/ijc.34141] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/02/2022] [Accepted: 05/04/2022] [Indexed: 11/07/2022]
Abstract
Black women diagnosed with epithelial ovarian cancer have poorer survival compared to white women. Factors that contribute to this disparity, aside from socioeconomic status and guideline-adherent treatment, have not yet been clearly identified. We examined data from the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium which harmonized data on 1074 Black women and 3263 white women with ovarian cancer from seven US studies. We selected potential mediators and confounders by examining associations between each variable with race and survival. We then conducted a sequential mediation analysis using an imputation method to estimate total, direct, and indirect effects of race on ovarian cancer survival. Black women had worse survival than white women (HR = 1.30; 95% CI 1.16-1.47) during study follow-up; 67.9% of Black women and 69.8% of white women died. In our final model, mediators of this disparity include college education, nulliparity, smoking status, body mass index, diabetes, diabetes/race interaction, postmenopausal hormone (PMH) therapy duration, PMH duration/race interaction, PMH duration/age interaction, histotype, and stage. These mediators explained 48.8% (SE = 12.1%) of the overall disparity; histotype/stage and PMH duration accounted for the largest fraction. In summary, nearly half of the disparity in ovarian cancer survival between Black and white women in the OCWAA consortium is explained by education, lifestyle factors, diabetes, PMH use, and tumor characteristics. Our findings suggest that several potentially modifiable factors play a role. Further research to uncover additional mediators, incorporate data on social determinants of health, and identify potential avenues of intervention to reduce this disparity is urgently needed.
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Affiliation(s)
- Holly R. Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Kristin A. Guertin
- Department of Public Health Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Tareq F Camacho
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Courtney E. Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Anna H. Wu
- University of Southern California Norris Comprehensive Cancer Center and Department of Preventive Medicine, Keck School of Medicine, Los Angeles, California, USA
| | - Patricia G. Moorman
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina, USA
| | - Evan Myers
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina, USA
| | - Traci N. Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington, D.C., USA
| | - Elisa V. Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA
| | - Charlotte E. Joslin
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago School of Medicine and Division of Epidemiology and Biostatistics, School of Public Health, Chicago, Illinois, USA
| | - Heather M. Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Lauren C. Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Will T. Rosenow
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Veronica W. Setiawan
- University of Southern California Norris Comprehensive Cancer Center and Department of Preventive Medicine, Keck School of Medicine, Los Angeles, California, USA
| | - Alicia Beeghly-Fadiel
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Lauren F. Dempsey
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, Massachusetts, USA
| | - Joellen M. Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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24
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Bethea TN, Zhai W, Zhou X, Ahles TA, Ahn J, Cohen HJ, Dilawari AA, Graham DMA, Jim HSL, McDonald BC, Nakamura ZM, Patel SK, Rentscher KE, Root J, Saykin AJ, Small BJ, Van Dyk KM, Mandelblatt JS, Carroll JE. Associations between longitudinal changes in sleep disturbance and depressive and anxiety symptoms during the COVID-19 virus pandemic among older women with and without breast cancer in the thinking and living with breast cancer study. Cancer Med 2022; 11:3352-3363. [PMID: 35315588 PMCID: PMC9110906 DOI: 10.1002/cam4.4682] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 02/25/2022] [Accepted: 02/28/2022] [Indexed: 12/16/2022] Open
Abstract
PURPOSE Several studies have reported sleep disturbances during the COVID-19 virus pandemic. Little data exist about the impact of the pandemic on sleep and mental health among older women with breast cancer. We sought to examine whether women with and without breast cancer who experienced new sleep problems during the pandemic had worsening depression and anxiety. METHODS Breast cancer survivors aged ≥60 years with a history of nonmetastatic breast cancer (n = 242) and frequency-matched noncancer controls (n = 158) active in a longitudinal cohort study completed a COVID-19 virus pandemic survey from May to September 2020 (response rate 83%). Incident sleep disturbance was measured using the restless sleep item from the Center for Epidemiological Studies-Depression Scale (CES-D). CES-D score (minus the sleep item) captured depressive symptoms; the State-Anxiety subscale of the State Trait Anxiety Inventory measured anxiety symptoms. Multivariable linear regression models examined how the development of sleep disturbance affected changes in depressive or anxiety symptoms from the most recent prepandemic survey to the pandemic survey, controlling for covariates. RESULTS The prevalence of sleep disturbance during the pandemic was 22.3%, with incident sleep disturbance in 10% and 13.5% of survivors and controls, respectively. Depressive and anxiety symptoms significantly increased during the pandemic among women with incident sleep disturbance (vs. no disturbance) (β = 8.16, p < 0.01 and β = 6.14, p < 0.01, respectively), but there were no survivor-control differences in the effect. CONCLUSION Development of sleep disturbances during the COVID-19 virus pandemic may negatively affect older women's mental health, but breast cancer survivors diagnosed with the nonmetastatic disease had similar experiences as women without cancer.
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Affiliation(s)
- Traci N. Bethea
- Office of Minority Health and Health Disparities ResearchGeorgetown Lombardi Comprehensive Cancer CenterWashingtonDistrict of ColumbiaUSA
- Cancer Prevention and Control ProgramGeorgetown Lombardi Comprehensive Cancer CenterWashingtonDistrict of ColumbiaUSA
| | - Wanting Zhai
- Cancer Prevention and Control ProgramGeorgetown Lombardi Comprehensive Cancer CenterWashingtonDistrict of ColumbiaUSA
| | - Xingtao Zhou
- Cancer Prevention and Control ProgramGeorgetown Lombardi Comprehensive Cancer CenterWashingtonDistrict of ColumbiaUSA
| | - Tim A. Ahles
- Department of Psychiatry and Behavioral SciencesMemorial Sloan Kettering Cancer CenterNew YorkNew York CityUSA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and BiomathematicsGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
| | - Harvey J. Cohen
- Center for the Study of Aging and Human DevelopmentDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Asma A. Dilawari
- Cancer Prevention and Control ProgramGeorgetown Lombardi Comprehensive Cancer CenterWashingtonDistrict of ColumbiaUSA
- Medstar Washington Hospital CenterWashingtonDistrict of ColumbiaUSA
| | - Deena M. A. Graham
- John Theurer Cancer CenterHackensack University Medical CenterHackensackNew JerseyUSA
| | | | - Brenna C. McDonald
- Department of Radiology and Imaging SciencesIndiana University School of Medicine and Indiana University Melvin and Bren Simon Comprehensive Cancer CenterIndianapolisIndianaUSA
| | - Zev M. Nakamura
- Department of PsychiatryUniversity of North Carolina‐Chapel HillChapel HillNorth CarolinaUSA
| | - Sunita K. Patel
- City of Hope National Medical CenterLos AngelesCaliforniaUSA
| | - Kelly E. Rentscher
- Cousins Center for PsychoneuroimmunologyUniversity of California, Los AngelesLos AngelesCaliforniaUSA
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral SciencesUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - James Root
- Department of Psychiatry and Behavioral SciencesMemorial Sloan Kettering Cancer CenterNew YorkNew York CityUSA
| | - Andrew J. Saykin
- Department of Radiology and Imaging SciencesIndiana University School of Medicine and Indiana University Melvin and Bren Simon Comprehensive Cancer CenterIndianapolisIndianaUSA
| | - Brent J. Small
- College of Behavioral and Community Sciences, School of Aging StudiesUniversity of South FloridaTampaFloridaUSA
| | - Kathleen M. Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral SciencesUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Jeanne S. Mandelblatt
- Cancer Prevention and Control ProgramGeorgetown Lombardi Comprehensive Cancer CenterWashingtonDistrict of ColumbiaUSA
| | - Judith E. Carroll
- Cousins Center for PsychoneuroimmunologyUniversity of California, Los AngelesLos AngelesCaliforniaUSA
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral SciencesUniversity of California, Los AngelesLos AngelesCaliforniaUSA
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25
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Nash R, Johnson CE, Harris HR, Peres LC, Joslin CE, Bethea TN, Bandera EV, Ochs-Balcom HM, Myers ER, Guertin KA, Camacho F, Beeghly-Fadiel A, Moorman PG, Setiawan VW, Rosenberg L, Schildkraut JM, Wu AH. Race Differences in the Associations between Menstrual Cycle Characteristics and Epithelial Ovarian Cancer. Cancer Epidemiol Biomarkers Prev 2022; 31:1610-1620. [PMID: 35654411 PMCID: PMC9711941 DOI: 10.1158/1055-9965.epi-22-0115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 04/04/2022] [Accepted: 05/31/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Menstrual cycle characteristics-including age at menarche and cycle length- have been associated with ovarian cancer risk in White women. However, the associations between menstrual cycle characteristics and ovarian cancer risk among Black women have been sparsely studied. METHODS Using the Ovarian Cancer in Women of African Ancestry (OCWAA) Consortium that includes 1,024 Black and 2,910 White women diagnosed with epithelial ovarian cancer (EOC) and 2,325 Black and 7,549 White matched controls, we investigated associations between menstrual cycle characteristics (age at menarche, age at menstrual regularity, cycle length, and ever missing three periods) and EOC risk by race and menopausal status. Multivariable logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI). RESULTS Black women were more likely to be <11 years at menarche than White women (controls: 9.9% vs. 6.0%). Compared with ≥15 years at menarche, <11 years was associated with increased EOC risk for White (OR = 1.25; 95% CI, 0.99-1.57) but not Black women (OR = 1.10; 95% CI, 0.80-1.55). Among White women only, the association was greater for premenopausal (OR = 2.20; 95% CI, 1.31-3.68) than postmenopausal women (OR = 1.06; 95% CI, 0.82-1.38). Irregular cycle length was inversely associated with risk for White (OR = 0.78; 95% CI, 0.62-0.99) but not Black women (OR = 1.06; 95% CI, 0.68-1.66). CONCLUSIONS Earlier age at menarche and cycle irregularity are associated with increased EOC risk for White but not Black women. IMPACT Associations between menstrual cycle characteristics and EOC risk were not uniform by race.
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Affiliation(s)
- Rebecca Nash
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta GA
| | - Courtney E Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta GA
| | - Holly R. Harris
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Lauren C. Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Charlotte E Joslin
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago School of Medicine and Division of Epidemiology and Biostatistics, School of Public Health, Chicago, IL
| | - Traci N. Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington, DC
| | - Elisa V. Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
| | - Heather M. Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - Evan R. Myers
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC
| | - Kristin A Guertin
- Department of Population Health and Prevention Sciences, University of Virginia School of Medicine, Charlottesville, VA
| | - Fabian Camacho
- Department of Population Health and Prevention Sciences, University of Virginia School of Medicine, Charlottesville, VA
| | - Alicia Beeghly-Fadiel
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Patricia G. Moorman
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, NC
| | - Veronica Wendy Setiawan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA
| | - Joellen M. Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta GA
| | - Anna H. Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
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26
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Schildroth S, Wise LA, Wesselink AK, Bethea TN, Fruh V, Taylor KW, Calafat AM, Baird DD, Claus Henn B. Correlates of non-persistent endocrine disrupting chemical mixtures among reproductive-aged Black women in Detroit, Michigan. Chemosphere 2022; 299:134447. [PMID: 35358566 PMCID: PMC9215202 DOI: 10.1016/j.chemosphere.2022.134447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/14/2022] [Accepted: 03/24/2022] [Indexed: 06/14/2023]
Abstract
Some studies indicate that Black women have higher exposure to multiple non-persistent endocrine disrupting chemicals (EDCs) than white women, but little is known about correlates of exposure to EDC mixtures. Using baseline data from a prospective cohort study of reproductive-aged Black women (N = 751), we characterized profiles of EDC mixtures and identified correlates of exposure. At baseline, we quantified biomarkers of 16 phthalates, 7 phenols, 4 parabens, and triclocarban in urine and collected covariate data through self-administered questionnaires and interviews. We used principal component (PC) analysis and k-means clustering to describe EDC mixture profiles. Associations between correlates and PCs were estimated as the mean difference (β) in PC scores, while associations between correlates and cluster membership were estimated as the odds ratio (OR) of cluster membership. Personal care product use was consistently associated with profiles of higher biomarker concentrations of non-persistent EDCs. Use of nail polish, menstrual and vaginal products (e.g., vaginal powder, vaginal deodorant), and sunscreen was associated with a mixture of phthalate and some phenol biomarkers using both methods. Current vaginal ring use, a form of hormonal contraception placed inside the vagina, was strongly associated with higher concentrations of high molecular weight phthalate biomarkers (k-means clustering: OR = 2.42, 95% CI = 1.28, 4.59; PCA: β = -0.32, 95% CI = -0.71, 0.07). Several dietary, reproductive, and demographic correlates were also associated with mixtures of EDC biomarkers. These findings suggest that personal care product use, diet, and contraceptive use may be sources of exposure to multiple non-persistent EDCs among reproductive-aged Black women. Targeted interventions to reduce exposure to multiple EDCs among Black women are warranted.
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Affiliation(s)
- Samantha Schildroth
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Traci N Bethea
- Office of Minority Health & Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington DC, USA
| | - Victoria Fruh
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Kyla W Taylor
- National Toxicology Program, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Donna D Baird
- National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
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Zhou ES, Ritterband LM, Bethea TN, Robles YP, Heeren TC, Rosenberg L. Effect of Culturally Tailored, Internet-Delivered Cognitive Behavioral Therapy for Insomnia in Black Women: A Randomized Clinical Trial. JAMA Psychiatry 2022; 79:538-549. [PMID: 35442432 PMCID: PMC9021979 DOI: 10.1001/jamapsychiatry.2022.0653] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Black women are at risk for insomnia disorder. Despite interest in addressing sleep health disparities, there is limited research investigating the efficacy of criterion-standard treatment (cognitive behavioral therapy for insomnia [CBT-I]) among this racial minority population. OBJECTIVE To compare the efficacy of a standard version of an internet-delivered CBT-I program, a culturally tailored version, and a sleep education control at improving insomnia symptoms. DESIGN, SETTING, AND PARTICIPANTS In this single-blind, 3-arm randomized clinical trial, participants in a national, longitudinal cohort (Black Women's Health Study [BWHS]) were recruited between October 2019 and June 2020. BWHS participants with elevated insomnia symptoms were enrolled and randomized in the current study. INTERVENTIONS Participants were randomized to receive (1) an automated internet-delivered treatment called Sleep Healthy Using the Internet (SHUTi); (2) a stakeholder-informed, tailored version of SHUTi for Black women (SHUTi-BWHS); or (3) patient education (PE) about sleep. MAIN OUTCOMES AND MEASURES The primary outcome was insomnia severity (Insomnia Severity Index [ISI]). Index score ranged from 0 to 28 points, with those scoring less than 8 points considered to not have clinically significant insomnia symptoms and a score of 15 points or higher suggesting insomnia disorder. An ISI score reduction of more than 7 points was considered a clinically significant improvement in insomnia symptoms. The SHUTi-BWHS program was hypothesized to be more effective at significantly decreasing insomnia severity compared with the SHUTi program and PE. RESULTS A total of 333 Black women were included in this trial, and their mean (SD) age was 59.5 (8.0) years. Those randomized to receive either SHUTi or SHUTi-BWHS reported significantly greater reductions in ISI score at 6-month follow-up (SHUTi: -10.0 points; 95% CI, -11.2 to -8.7; SHUTi-BWHS: -9.3 points; 95% CI, -10.4 to -8.2) than those randomized to receive PE (-3.6 points; 95% CI, -4.5 to -2.1) (P < .001). Significantly more participants randomized to SHUTi-BWHS completed the intervention compared with those randomized to SHUTi (86 of 110 [78.2%] vs 70 of 108 [64.8%]; P = .008). Participants who completed either intervention showed greater reductions in insomnia severity compared with noncompleters (-10.4 points [95% CI, -11.4 to -9.4] vs -6.2 points [95% CI, -8.6 to -3.7]). CONCLUSIONS AND RELEVANCE In this randomized clinical trial, both the SHUTi and SHUTi-BWHS programs decreased insomnia severity and improved sleep outcomes more than PE. The culturally tailored SHUTi-BWHS program was more effective at engaging participants with the program, as a greater proportion completed the full intervention. Program completion was associated with greater improvements in sleep. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03613519.
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Affiliation(s)
- Eric S. Zhou
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts,Perini Family Survivors’ Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Lee M. Ritterband
- Center for Behavioral Health and Technology, Department of Psychiatry and Neurobehavioral Sciences, University of Virginia Health System, Charlottesville
| | - Traci N. Bethea
- Cancer Prevention and Control Program, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC
| | - Yvonne P. Robles
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | | | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
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Speiser E, Pinto Zipp G, DeLuca DA, Paula Cupertino A, Arana-Chicas E, Gourna Paleoudis E, Bethea TN, Kligler B, Cartujano-Barrera F. Environmental Health Needs Among Latinas in Cleaning Occupations: A Mixed Methods Approach. Environ Health Insights 2022; 16:11786302221100045. [PMID: 35614881 PMCID: PMC9125105 DOI: 10.1177/11786302221100045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 04/14/2022] [Indexed: 06/15/2023]
Abstract
In the U.S., approximately half of maids and housekeeping cleaners are Latino or Hispanic, while the vast majority are women (88.3%). This largely immigrant, underserved workforce faces complex factors, which may contribute to adverse health outcomes. To understand relevant barriers and challenges, this mixed-methods study explored the environmental health needs of a heterogeneous group of Latinas in New Jersey (NJ) who clean occupationally, and consisted of 3 focus groups (N = 15) with a cross-sectional survey (N = 9), both conducted in Spanish. Participants were recruited from community-based English as a Second Language classes in Hackensack, NJ. Analysis of focus group audio recordings included descriptive and in vivo coding followed by inductive coding to explore thematic analysis. The survey responses were evaluated using descriptive statistics. As per the survey results, the environmental health needs of this population include sore muscles, back problems, asthma, other respiratory issues, migraine or headache, and skin issues (rash, etc.). In the group discussions, the roles of genetics, food, and chemical exposures in cancer etiology were of great interest and a variety of opinions on the topic were explored. Both the focus group discussions and survey responses suggested that this population also faces barriers including lack of training, chemical exposures and inadequate personal protective equipment (PPE). These barriers are compounded by daily environmental exposures from personal home cleaning practices. The development of culturally- and linguistically-appropriate interventions are warranted to better protect the health of essential occupational cleaners who keep homes, businesses and schools clean.
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Affiliation(s)
- Erin Speiser
- The Deirdre Imus Environmental Health Center®, Hackensack Meridian Health, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Genevieve Pinto Zipp
- Department of Interprofessional Health Sciences & Health Administration, School of Health and Medical Sciences, Seton Hall University, Nutley, NJ, USA
| | - Deborah A DeLuca
- Department of Interprofessional Health Sciences & Health Administration, School of Health and Medical Sciences, Seton Hall University, Nutley, NJ, USA
| | - Ana Paula Cupertino
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA
| | - Evelyn Arana-Chicas
- James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA
| | - Elli Gourna Paleoudis
- Office of Research Administration, Hackensack Meridian Health, Department of Medical Sciences, Hackensack Meridian School of Medicine, Nutley, NJ, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research and Cancer Prevention and Control Program, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Benjamin Kligler
- The Deirdre Imus Environmental Health Center®, Hackensack Meridian Health, Hackensack University Medical Center, Hackensack, NJ, USA
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Davis Lynn BC, Lord BD, Cora R, Pfeiffer RM, Lawrence S, Zirpoli G, Bethea TN, Palmer JR, Gierach GL. Associations between quantitative measures of TDLU involution and breast tumor molecular subtypes among breast cancer cases in the Black Women's Health Study: a case-case analysis. Breast Cancer Res 2022; 24:86. [PMID: 36471360 PMCID: PMC9720909 DOI: 10.1186/s13058-022-01577-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/07/2022] [Indexed: 12/07/2022] Open
Abstract
BACKGROUND Terminal duct lobular units (TDLUs) are the structures in the breast that give rise to most breast cancers. Previous work has shown that TDLU involution is inversely associated with TDLU metrics, such as TDLU count/100mm2, TDLU span (µm), and number of acini/TDLU, and that these metrics may be elevated in the normal breast tissue of women diagnosed with triple-negative (TN) compared with luminal A breast tumors. It is unknown whether this relationship exists in Black women, who have the highest incidence of TN breast cancer and the highest overall breast cancer mortality rate. We examined relationships between TDLU metrics and breast cancer molecular subtype among breast cancer cases in the Black Women's Health Study (BWHS). METHODS We assessed quantitative TDLU metrics (TDLU count/100mm2, TDLU span (µm), and number of acini/TDLU) in digitized 247 hematoxylin and eosin-stained adjacent normal tissue sections from 223 BWHS breast cancer cases, including 65 triple negative (TN) cancers (estrogen receptor (ER) negative, progesterone receptor (PR) negative, human epidermal growth factor-2 (HER2) negative) and 158 luminal A cancers (ER positive, HER2 negative). We evaluated associations of least square mean TDLU metrics adjusted for age and body mass index (BMI) with patient and clinical characteristics. In logistic regression models, we evaluated associations between TDLU metrics and breast cancer subtype, adjusting for age, BMI, and tumor size. RESULTS Older age and higher BMI were associated with lower TDLU metrics and larger tumor size and lymph node invasion with higher TDLU metrics. The odds of TN compared with luminal A breast cancer increased with increasing tertiles of TDLU metrics, with odds ratios (95% confidence intervals) for tertile 3 versus tertile 1 of 2.18 (0.99, 4.79), 2.77 (1.07, 7.16), and 1.77 (0.79, 3.98) for TDLU count, TDLU span, and acini count/TDLU, respectively. CONCLUSION Associations of TDLU metrics with breast cancer subtypes in the BWHS are consistent with previous studies of White and Asian women, demonstrating reduced TDLU involution in TN compared with luminal A breast cancers. Further investigation is needed to understand the factors that influence TDLU involution and the mechanisms that mediate TDLU involution and breast cancer subtype.
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Affiliation(s)
- Brittny C. Davis Lynn
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD USA
| | - Brittany D. Lord
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD USA
| | | | - Ruth M. Pfeiffer
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD USA
| | - Scott Lawrence
- grid.419407.f0000 0004 4665 8158Molecular and Digital Pathology Laboratory, Leidos Biomedical Research, Inc., 9615 Medical Center Drive, Rockville, MD USA
| | - Gary Zirpoli
- grid.189504.10000 0004 1936 7558Slone Epidemiology Center, Boston University, 72 East Concord Street L-7, Boston, MA USA
| | - Traci N. Bethea
- grid.516085.f0000 0004 0606 3221Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, 1000 New Jersey Ave SE, Washington, DC USA
| | - Julie R. Palmer
- grid.189504.10000 0004 1936 7558Slone Epidemiology Center, Boston University, 72 East Concord Street L-7, Boston, MA USA
| | - Gretchen L. Gierach
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD USA
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30
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Wise LA, Wesselink AK, Schildroth S, Calafat AM, Bethea TN, Geller RJ, Coleman CM, Fruh V, Claus Henn B, Botelho JC, Harmon QE, Thirkill M, Wegienka GR, Baird DD. Correlates of plasma concentrations of per- and poly-fluoroalkyl substances among reproductive-aged Black women. Environ Res 2022; 203:111860. [PMID: 34403666 PMCID: PMC8616815 DOI: 10.1016/j.envres.2021.111860] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/29/2021] [Accepted: 08/05/2021] [Indexed: 05/26/2023]
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals used in commercial and consumer goods. Black women are underrepresented in studies of PFAS exposure. METHODS We performed a cross-sectional analysis of correlates of plasma PFAS concentrations among 1499 Black women aged 23-35 participating in the Study of Environment, Lifestyle, and Fibroids (SELF), a Detroit-based cohort study. At baseline (2010-2012), participants provided questionnaire data on socio-demographics; behaviors; diet; and menstrual, contraceptive, and reproductive histories. Using mass spectrometry in non-fasting plasma samples collected at enrollment, we quantified several PFAS, including perfluorohexane sulfonate (PFHxS), perfluorooctane sulfonate (PFOS), perfluorooctanoate (PFOA), perfluorononanoate (PFNA), perfluorodecanoate (PFDA), perfluoroundecanoate (PFUnDA), and 2-N-methyl-perfluorooctane sulfonamido acetate (MeFOSAA). We used linear regression to calculate percentage differences (%D) and 95 % confidence intervals (CIs) for associations between selected correlates and PFAS concentrations, adjusting for all other correlates. RESULTS PFHxS, PFOS, PFOA, and PFNA were detected in ≥97 % of women; PFDA in 86 %; MeFOSAA in 70 %; and PFUnDA in 52 %. Age, income, education, and intakes of water, alcohol, and seafood were positively associated with several PFAS. Current smoking was positively associated with MeFOSAA. Body mass index was inversely associated with most PFAS, except PFHxS. Strong inverse associations (%D; 95 % CI) were observed between parity (≥3 vs. 0 births) and PFHxS (-34.7; -43.0, -25.1) and PFOA (-33.1; -39.2, -26.3); breastfeeding duration (≥6 months vs. nulliparous) and PFOA (-31.1; -37.8, -23.7), PFHxS (-24.2; -34.5, -12.3), and PFOS (-18.4; -28.3, -7.1); recent birth (<2 years ago vs. nulliparous) and PFOA (-33.1; -39.6, -25.8), PFHxS (-29.3; -39.0, -18.1), PFNA (-25.2; -32.7, -16.8), and PFOS (-18.3; -28.3, -6.9); and intensity of menstrual bleed (heavy vs. light) and PFHxS (-18.8; -28.3, -8.2), PFOS (-16.4; -24.9, -7.1), PFNA (-10.5; -17.8, -2.6), and PFOA (-10.0; -17.2, -2.1). Current use of depot medroxyprogesterone acetate (DMPA) was positively associated with PFOS (20.2; 1.4, 42.5), PFOA (16.2; 1.5, 33.0), and PFNA (15.3; 0.4, 32.4). CONCLUSIONS Reproductive factors that influence PFAS elimination showed strong associations with several PFAS (reduced concentrations with parity, recent birth, lactation, heavy menstrual bleeding; increased concentrations with DMPA use).
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Affiliation(s)
- Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Samantha Schildroth
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Traci N Bethea
- Office of Minority Health & Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Ruth J Geller
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Chad M Coleman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Victoria Fruh
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Julianne C Botelho
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Quaker E Harmon
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Maya Thirkill
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | | | - Donna D Baird
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
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Schildroth S, Wise LA, Wesselink AK, De La Cruz P, Bethea TN, Weuve J, Fruh V, Botelho JC, Sjodin A, Calafat AM, Baird DD, Henn BC. Correlates of Persistent Endocrine-Disrupting Chemical Mixtures among Reproductive-Aged Black Women. Environ Sci Technol 2021; 55:14000-14014. [PMID: 34591461 PMCID: PMC9215200 DOI: 10.1021/acs.est.1c02549] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Black women are exposed to multiple endocrine-disrupting chemicals (EDCs), but few studies have examined their profiles of exposure to EDC mixtures. We identified biomarker profiles and correlates of exposure to EDC mixtures in a cross-sectional analysis of data from a prospective cohort study of 749 Black women aged 23-35 years. We quantified plasma concentrations of polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), organochlorine pesticides (OCPs), and per- and polyfluoroalkyl substances (PFAS) in nonfasting samples collected at baseline. Demographic, behavioral, dietary, and reproductive covariates were also collected at baseline. We used k-means clustering and principal component analysis (PCA) to describe concentration profiles of EDC mixtures (17 PCBs, 6 PBDEs, 4 OCPs, 6 PFAS), followed by multinomial logistic and multivariable linear regression to estimate mean differences in PCA scores (β) and odds ratios (ORs) of cluster membership with their respective 95% confidence intervals (CIs). Older age (per 1 year increase: β = 0.47, CI = 0.39, 0.54; OR = 1.27, CI = 1.20, 1.35), lower body mass index (per 1 kg/m2 increase: β = -0.14, CI = -0.17, -0.12; OR = 0.91, CI = 0.89, 0.94), and current smoking (≥10 cigarettes/day vs never smokers: β = 1.37, CI = 0.20, 2.55; OR = 2.63, CI = 1.07, 6.50) were associated with profiles characterized by higher concentrations of all EDCs. Other behaviors and traits, including dietary factors and years since last birth, were also associated with EDC mixtures.
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Affiliation(s)
- Samantha Schildroth
- Department of Environmental Health, Boston University School of Public Health, Boston, USA
- Corresponding Author: Samantha Schildroth.
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Amelia K. Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Payton De La Cruz
- Department of Pathology and Laboratory Medicine, Brown University, Providence, USA
| | - Traci N. Bethea
- Office of Minority Health & Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington DC, USA
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Victoria Fruh
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, USA
| | - Julianne C. Botelho
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, USA
| | - Andreas Sjodin
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, USA
| | - Antonia M. Calafat
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, USA
| | - Donna D. Baird
- National Institute of Environmental Health Sciences, Durham, USA
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, USA
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Wesselink AK, Weuve J, Fruh V, Bethea TN, Claus Henn B, Harmon QE, Hauser R, Williams PL, Calafat AM, McClean M, Baird DD, Wise LA. Urinary concentrations of phenols, parabens, and triclocarban in relation to uterine leiomyomata incidence and growth. Fertil Steril 2021; 116:1590-1600. [PMID: 34366109 DOI: 10.1016/j.fertnstert.2021.07.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 07/02/2021] [Accepted: 07/06/2021] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To examine the association of urinary concentrations of phenols, parabens, and triclocarban with incidence and growth of uterine leiomyomata (UL; fibroids). DESIGN Case-cohort study, nested within the Study of Environment, Lifestyle, and Fibroids, a prospective cohort study. SETTING Clinic visits at baseline and every 20 months for 60 months. PATIENT(S) 754 Black women aged 23-35 years residing in the Detroit, Michigan area (enrolled during 2010-2012). INTERVENTION None. MAIN OUTCOME MEASURE(S) At each study visit, women underwent transvaginal ultrasound for measurement of UL incidence and growth and provided urine specimens in which we quantified concentrations of seven phenols, four parabens, and triclocarban. We used Cox proportional hazards regression to estimate hazard ratios and 95% confidence intervals (CIs) characterizing the relation of urinary biomarker concentrations with UL incidence during the 60 months of follow-up. In a subset of UL detected and measured at multiple time points, we used linear regression to assess the associations between biomarker concentrations and UL growth. RESULT(S) Urinary biomarker concentrations were generally inversely associated with UL incidence, but the associations were weak and nonmonotonic. For example, hazard ratios comparing concentrations ≥90th with <50th percentile were 0.77 (95% CI: 0.46, 1.27) for bisphenol A, 0.72 (95% CI: 0.40, 1.28) for bisphenol S, and 0.76 (95% CI: 0.43, 1.33) for methylparaben. Biomarker concentrations were not strongly associated with UL growth. CONCLUSION(S) In this study of reproductive-aged Black women, urinary phenols, parabens, and triclocarban biomarkers were neither strongly nor consistently associated with UL incidence and growth.
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Affiliation(s)
- Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Victoria Fruh
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Traci N Bethea
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Quaker E Harmon
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina
| | - Russ Hauser
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Paige L Williams
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Michael McClean
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Donna D Baird
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
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Wu Y, Huang R, Wang M, Bernstein L, Bethea TN, Chen C, Chen Y, Eliassen AH, Freedman ND, Gaudet MM, Gierach GL, Giles GG, Krogh V, Larsson SC, Liao LM, McCullough ML, Miller AB, Milne RL, Monroe KR, Neuhouser ML, Palmer JR, Prizment A, Reynolds P, Robien K, Rohan TE, Sandin S, Sawada N, Sieri S, Sinha R, Stolzenberg-Solomon RZ, Tsugane S, van den Brandt PA, Visvanathan K, Weiderpass E, Wilkens LR, Willett WC, Wolk A, Zeleniuch-Jacquotte A, Ziegler RG, Smith-Warner SA. Dairy foods, calcium, and risk of breast cancer overall and for subtypes defined by estrogen receptor status: a pooled analysis of 21 cohort studies. Am J Clin Nutr 2021; 114:450-461. [PMID: 33964859 PMCID: PMC8326053 DOI: 10.1093/ajcn/nqab097] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 03/05/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Epidemiologic studies examining the relations between dairy product and calcium intakes and breast cancer have been inconclusive, especially for tumor subtypes. OBJECTIVE To evaluate the associations between intakes of specific dairy products and calcium and risk of breast cancer overall and for subtypes defined by estrogen receptor (ER) status. METHOD We pooled the individual-level data of over 1 million women who were followed for a maximum of 8-20 years across studies. Associations were evaluated for dairy product and calcium intakes and risk of incident invasive breast cancer overall (n = 37,861 cases) and by subtypes defined by ER status. Study-specific multivariable hazard ratios (HRs) were estimated and then combined using random-effects models. RESULTS Overall, no clear association was observed between the consumption of specific dairy foods, dietary (from foods only) calcium, and total (from foods and supplements) calcium, and risk of overall breast cancer. Although each dairy product showed a null or very weak inverse association with risk of overall breast cancer (P, test for trend >0.05 for all), differences by ER status were suggested for yogurt and cottage/ricotta cheese with associations observed for ER-negative tumors only (pooled HR = 0.90, 95% CI: 0.83, 0.98 comparing ≥60 g/d with <1 g/d of yogurt and 0.85, 95% CI: 0.76, 0.95 comparing ≥25 g/d with <1 g/d of cottage/ricotta cheese). Dietary calcium intake was only weakly associated with breast cancer risk (pooled HR = 0.98, 95% CI: 0.97, 0.99 per 350 mg/d). CONCLUSION Our study shows that adult dairy or calcium consumption is unlikely to associate with a higher risk of breast cancer and that higher yogurt and cottage/ricotta cheese intakes were inversely associated with the risk of ER-negative breast cancer, a less hormonally dependent subtype with poor prognosis. Future studies on fermented dairy products, earlier life exposures, ER-negative breast cancer, and different racial/ethnic populations may further elucidate the relation.
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Affiliation(s)
- You Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ruyi Huang
- Department of Medical Education, E-DA Hospital and School of Medicine for International Students, School of Medicine, I-SHOU University, Kaohsiung City, Taiwan
- Department of Family Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Leslie Bernstein
- Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Traci N Bethea
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Chu Chen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yu Chen
- Division of Epidemiology, Department of Population Health and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Mia M Gaudet
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Vittorio Krogh
- Epidemiology and Prevention Unit Department of Research, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Susanna C Larsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Marjorie L McCullough
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Anthony B Miller
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Kristine R Monroe
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Anna Prizment
- Division of Hematology, Oncology and Transplantation, University of Minnesota Medical School, Minneapolis, MN, USA
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Peggy Reynolds
- Department of Epidemiology and Biostatistics, University of California San Francisco, Berkeley, CA, USA
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, WA, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment at Mount Sinai, New York, NY, USA
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Sabina Sieri
- Epidemiology and Prevention Unit Department of Research, IRCCS National Cancer Institute Foundation, Milan, Italy
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Piet A van den Brandt
- Department of Epidemiology, GROW–School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
- Department of Epidemiology, Care and Public Health Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Alicja Wolk
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Anne Zeleniuch-Jacquotte
- Division of Epidemiology, Department of Population Health and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stephanie A Smith-Warner
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Guertin KA, Harris HR, Camacho TF, Johnson CE, Wu AH, Moorman PG, Myers E, Bethea TN, Bandera EV, Joslin CE, Ochs-Balcom HM, Peres LC, Rosenow WT, Setiawan VW, Beeghly-Fadiel A, Dempsey LF, Rosenberg L, Schildkraut JM. Abstract 33: Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium. Cancer Res 2021. [DOI: 10.1158/1538-7445.am2021-33] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose of Study: We used multiple mediation analysis to examine why African-American women have poorer ovarian cancer survival compared to white women.
Methods: We examined data from the OCWAA consortium which harmonized questionnaire-based data on 1,075 African-American women and 3,272 white women with ovarian cancer from seven U.S. studies. We first selected potential mediators and confounders by examining their association with race and survival and then incorporated these variables into a sequential multiple mediation analysis. We used multiple imputation and bootstrapping to fit and pool natural effects models with counterfactual exposures and survival times. In order to distinguish the effect of race through mediators and otherwise, we implemented log-normal accelerated failure time and Cox proportional hazards (PH) models.
Results: In OCWAA, 67.8% (n=729) of African-American women and 69.7% (n=2,282) of white women were deceased. The hazard ratio for African-American compared to white women was 1.29 (95%CI=1.15-1.46). In our final model (Table 1), mediators of this disparity in survival included college education, nulliparity, smoking status, body mass index, diabetes, diabetes/race interaction, postmenopausal hormone (PMH) therapy duration, PMH duration/race interaction, PMH duration/age interaction, histotype, and stage. These mediators explained 46.4% (95%CI=30.9-60.0%) of the overall racial disparity, and histotype/stage and PMH duration accounted for the largest fraction.
Conclusions: In the OCWAA consortium, almost half of the disparity in ovarian cancer survival between African-American and white women is explained by education, lifestyle factors, diabetes, PMH use, and tumor characteristics. A more complete understanding of the remaining difference in racial disparity is needed in order to ultimately improve outcomes and reduce disparities.
Table 1.Sequential multiple mediation of racial differences in ovarian cancer survival in OCWAAStepaMediator(s) AddedIndirect Effect HRbDirect Effect HRcTotal Effect HRd% Mediatede1College graduate1.015 (0.960, 1.073)1.308 (1.265, 1.351)1.327 (1.268, 1.389)4.5 (-16.9, 22.0)2Nulliparity1.018 (0.963, 1.076)1.304 (1.261, 1.347)1.327 (1.268, 1.388)5.8 (-15.6, 22.9)3Smoking1.023 (0.968, 1.082)1.296 (1.254, 1.340)1.326 (1.266, 1.387)7.5 (-13.3, 24.8)4BMI,Diabetes,Diabetes/Race Interaction1.051 (0.995, 1.111)1.263 (1.222, 1.305)1.327 (1.268, 1.389)17.0 (-2.2, 33.2)5PMH Duration,PMH Duration/Race Interaction,PMH Duration/Age Interaction1.086 (1.025, 1.149)1.195 (1.157, 1.235)1.298 (1.238, 1.359)31.0 (11.2, 47.3)6Histotype,Stage1.129 (1.073, 1.189)1.149 (1.114, 1.184)1.297 (1.243, 1.353)46.4 (30.9, 60.0)Abbreviations: OCWAA, Ovarian Cancer in Women of African Ancestry; PMH, Postmenopausal hormone; BMI, body mass index.Bold numbers reflect statistically significant values.aSequential order in which the selected mediators were added to the model. Model also includes variables in all preceding steps.bThe indirect effect is the cumulative indirect effect of the variables selected as mediators in a given step and all preceding steps.cThe direct effect is the remaining direct effect through all other non-mediated pathways.dTotal effect is calculated as log(Indirect Effect HR) + log(Direct Effect HR).ePercent (%) mediated is calculated as log(indirect effect HR)/log(total effect HR).
Citation Format: Kristin A. Guertin, Holly R. Harris, Tareq F. Camacho, Courtney E. Johnson, Anna H. Wu, Patricia G. Moorman, Evan Myers, Traci N. Bethea, Elisa V. Bandera, Charlotte E. Joslin, Heather M. Ochs-Balcom, Lauren C. Peres, Will T. Rosenow, Veronica W. Setiawan, Alicia Beeghly-Fadiel, Lauren F. Dempsey, Lynn Rosenberg, Joellen M. Schildkraut. Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 33.
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Affiliation(s)
| | | | | | | | - Anna H. Wu
- 4University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA
| | | | - Evan Myers
- 6Duke University Medical Center, Durham, NC
| | - Traci N. Bethea
- 7Georgetown Lombardi Comprehensive Cancer Center, Washington, DC
| | | | | | | | - Lauren C. Peres
- 11H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Will T. Rosenow
- 1University of Virginia School of Medicine, Charlottesville, VA
| | - Veronica W. Setiawan
- 4University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA
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Rentscher KE, Zhou X, Small BJ, Cohen HJ, Dilawari AA, Patel SK, Bethea TN, Van Dyk KM, Nakamura ZM, Ahn J, Zhai W, Ahles TA, Jim HSL, McDonald BC, Saykin AJ, Root JC, Graham DMA, Carroll JE, Mandelblatt JS. Loneliness and mental health during the COVID-19 pandemic in older breast cancer survivors and noncancer controls. Cancer 2021; 127:3671-3679. [PMID: 34161601 PMCID: PMC8419003 DOI: 10.1002/cncr.33687] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 05/17/2021] [Accepted: 05/28/2021] [Indexed: 12/31/2022]
Abstract
Background The coronavirus disease 2019 (COVID‐19) pandemic has had wide‐ranging health effects and increased isolation. Older with cancer patients might be especially vulnerable to loneliness and poor mental health during the pandemic. Methods The authors included active participants enrolled in the longitudinal Thinking and Living With Cancer study of nonmetastatic breast cancer survivors aged 60 to 89 years (n = 262) and matched controls (n = 165) from 5 US regions. Participants completed questionnaires at parent study enrollment and then annually, including a web‐based or telephone COVID‐19 survey, between May 27 and September 11, 2020. Mixed‐effects models were used to examine changes in loneliness (a single item on the Center for Epidemiologic Studies–Depression [CES‐D] scale) from before to during the pandemic in survivors versus controls and to test survivor‐control differences in the associations between changes in loneliness and changes in mental health, including depression (CES‐D, excluding the loneliness item), anxiety (the State‐Trait Anxiety Inventory), and perceived stress (the Perceived Stress Scale). Models were adjusted for age, race, county COVID‐19 death rates, and time between assessments. Results Loneliness increased from before to during the pandemic (0.211; P = .001), with no survivor‐control differences. Increased loneliness was associated with worsening depression (3.958; P < .001) and anxiety (3.242; P < .001) symptoms and higher stress (1.172; P < .001) during the pandemic, also with no survivor‐control differences. Conclusions Cancer survivors reported changes in loneliness and mental health similar to those reported by women without cancer. However, both groups reported increased loneliness from before to during the pandemic that was related to worsening mental health, suggesting that screening for loneliness during medical care interactions will be important for identifying all older women at risk for adverse mental health effects of the pandemic. Older breast cancer survivors and matched noncancer controls experienced similar increases in loneliness from before to during the COVID‐19 pandemic. Women who reported increased loneliness also experienced worsening depression and anxiety symptoms and higher stress during the pandemic.
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Affiliation(s)
- Kelly E Rentscher
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, California.,Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California
| | - Xingtao Zhou
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia
| | - Brent J Small
- School of Aging Studies, University of South Florida, Tampa, Florida
| | - Harvey J Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, North Carolina
| | - Asma A Dilawari
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia
| | - Sunita K Patel
- Outcomes Division, Population Sciences, City of Hope National Medical Center, Los Angeles, California
| | - Traci N Bethea
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia
| | - Kathleen M Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California
| | - Zev M Nakamura
- Department of Psychiatry, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, District of Columbia
| | - Wanting Zhai
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia
| | - Tim A Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Brenna C McDonald
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, Indiana
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, Indiana
| | - James C Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Deena M A Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, New Jersey
| | - Judith E Carroll
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, California.,Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California
| | - Jeanne S Mandelblatt
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia
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36
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Davis CP, Bandera EV, Bethea TN, Camacho F, Joslin CE, Wu AH, Beeghly-Fadiel A, Moorman PG, Myers ER, Ochs-Balcom HM, Peres LC, Rosenow WT, Setiawan VW, Rosenberg L, Schildkraut JM, Harris HR. Genital Powder Use and Risk of Epithelial Ovarian Cancer in the Ovarian Cancer in Women of African Ancestry Consortium. Cancer Epidemiol Biomarkers Prev 2021; 30:1660-1668. [PMID: 34155063 DOI: 10.1158/1055-9965.epi-21-0162] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/01/2021] [Accepted: 06/01/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Genital powder use is more common among African-American women; however, studies of genital powder use and ovarian cancer risk have been conducted predominantly in White populations, and histotype-specific analyses among African-American populations are limited. METHODS We used data from five studies in the Ovarian Cancer in Women of African Ancestry consortium. Participants included 620 African-American cases, 1,146 African-American controls, 2,800 White cases, and 6,735 White controls who answered questions on genital powder use prior to 2014. The association between genital powder use and ovarian cancer risk by race was estimated using logistic regression. RESULTS The prevalence of ever genital powder use for cases was 35.8% among African-American women and 29.5% among White women. Ever use of genital powder was associated with higher odds of ovarian cancer among African-American women [OR = 1.22; 95% confidence interval (CI) = 0.97-1.53] and White women (OR = 1.36; 95% CI = 1.19-1.57). In African-American women, the positive association with risk was more pronounced among high-grade serous tumors (OR = 1.31; 95% CI = 1.01-1.71) than with all other histotypes (OR = 1.05; 95% CI = 0.75-1.47). In White women, a significant association was observed irrespective of histotype (OR = 1.33; 95% CI = 1.12-1.56 and OR = 1.38; 95% CI = 1.15-1.66, respectively). CONCLUSIONS While genital powder use was more prevalent among African-American women, the associations between genital powder use and ovarian cancer risk were similar across race and did not materially vary by histotype. IMPACT This is one of the largest studies to date to compare the associations between genital powder use and ovarian cancer risk, overall and by histotype, between African-American and White women.
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Affiliation(s)
- Colette P Davis
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington, District of Columbia
| | - Fabian Camacho
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
| | - Charlotte E Joslin
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago School of Medicine and Division of Epidemiology and Biostatistics, School of Public Health, Chicago, Illinois
| | - Anna H Wu
- University of Southern California Norris Comprehensive Cancer Center and Department of Preventive Medicine, Keck School of Medicine, Los Angeles, California
| | - Alicia Beeghly-Fadiel
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Patricia G Moorman
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina
| | - Evan R Myers
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina
| | - Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, New York
| | - Lauren C Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Will T Rosenow
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
| | - Veronica W Setiawan
- University of Southern California Norris Comprehensive Cancer Center and Department of Preventive Medicine, Keck School of Medicine, Los Angeles, California
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington. .,Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
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Yusufov M, Recklitis C, Zhou ES, Bethea TN, Rosenberg L. A population-based psychometric analysis of the insomnia severity index in black women with and without a history of cancer. J Sleep Res 2021; 31:e13421. [PMID: 34128264 DOI: 10.1111/jsr.13421] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 05/19/2021] [Accepted: 05/19/2021] [Indexed: 01/25/2023]
Abstract
Black women are under-represented in insomnia research. Further, cancer treatments increase the risk of late effects, thus affecting the sleep of psychologically and medically vulnerable cancer survivors. The Insomnia Severity Index (ISI) is widely used, but has not been researched in black women, and research in cancer survivors is limited. Prior studies demonstrate that psychometric properties of the ISI are not consistent across samples. This study examined the internal consistency and factor structure of the ISI in 29,500 participants from the Black Women's Health Study, an epidemiological study of black women in the United States. This cohort included 28,214 women without a cancer history and 1,286 cancer survivors. Exploratory, confirmatory and multigroup analyses were conducted to determine the psychometric properties of the ISI in these groups. The mean ISI score was 7.18 (standard deviation [SD] = 6.82). Findings supported the internal consistency reliability of the ISI in black women with (Ω = 0.896) and without (Ω = 0.892) a cancer history. Exploratory factor analyses supported a one-factor structure. Confirmatory factor analyses indicated that fit of this one-factor model was not robust in survivors (Satorra-Bentler chi-square [χSB2 (14)] = 197.78, comparative fit index [CFI] = 0.928, root mean-square error of approximation [RMSEA] = 0.143) or in women with no cancer history (χSB2 (14) = 2,887.93, CFI = 0.945, RMSEA = 0.121), but the alternative models we examined were not superior. Although factor structures in previous studies have varied considerably, we found a one-factor structure. Although internal consistency reliability was strong, factor analytic results did not further support the ISI. Inconsistencies in ISI measurement properties across studies may reflect differences in sample sizes and populations.
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Affiliation(s)
- Miryam Yusufov
- Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Christopher Recklitis
- Perini Family Survivors' Center, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Eric S Zhou
- Perini Family Survivors' Center, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Traci N Bethea
- Georgetown Lombardi Comprehensive Cancer Center, Office of Minority Health and Health Disparities Research, Washington, DC, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA, USA
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Wesselink AK, Fruh V, Hauser R, Weuve J, Taylor KW, Orta OR, Claus Henn B, Bethea TN, McClean MD, Williams PL, Calafat AM, Baird DD, Wise LA. Correlates of urinary concentrations of phthalate and phthalate alternative metabolites among reproductive-aged Black women from Detroit, Michigan. J Expo Sci Environ Epidemiol 2021; 31:461-475. [PMID: 32980856 PMCID: PMC7994206 DOI: 10.1038/s41370-020-00270-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 09/11/2020] [Accepted: 09/16/2020] [Indexed: 05/15/2023]
Abstract
BACKGROUND Phthalates are endocrine-disrupting chemicals that are widely present in consumer products. In the United States, Black women are more highly exposed to phthalates than other racial/ethnic groups, yet information on predictors of phthalate exposure among Black women is limited. OBJECTIVE We evaluated the association of demographics, lifestyle, reproductive history, and personal care product use with urinary concentrations of phthalate and phthalate alternative metabolites, using cross-sectional data from a study of 754 Black women from Detroit, Michigan (2010-2012). METHODS Women completed questionnaires and provided urine specimens which were analyzed for 16 phthalate and phthalate alternative metabolites. We used linear regression models to estimate mean percentage differences and 95% confidence intervals (CIs) in concentrations across levels of correlates. RESULTS Monoethyl phthalate (MEP) and MBP concentrations were positively associated with personal care product use, particularly nail products. Educational attainment was positively associated with high molecular weight phthalate concentrations but inversely associated with monobenzyl phthalate (MBzP) concentrations. Parity was positively associated with MBzP concentrations and inversely associated with concentrations of MEP and high molecular weight phthalates. SIGNIFICANCE We found that sociodemographics, reproductive characteristics, and use of certain personal care products were associated with urinary phthalate concentrations among Black women. Our results emphasize the importance of examining exposure determinants among multiply marginalized populations.
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Affiliation(s)
- Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Victoria Fruh
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Russ Hauser
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Kyla W Taylor
- Office of Health Assessment and Translation, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle, NC, USA
| | - Olivia R Orta
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Traci N Bethea
- Office of Minority Health & Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Michael D McClean
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Paige L Williams
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Donna D Baird
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, NC, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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39
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Dilawari A, Rentscher KE, Zhai W, Zhou X, Ahles TA, Ahn J, Bethea TN, Carroll JE, Cohen HJ, Graham DA, Jim H, McDonald B, Nakamura ZM, Patel SK, Root JC, Small BJ, Saykin AJ, Tometich D, Van Dyk K, Mandelblatt JS. Medical Care Disruptions During the First Six-Months of the COVID19 Pandemic: The Experience of Older Breast Cancer Survivors. Res Sq 2021. [PMID: 33880464 PMCID: PMC8057243 DOI: 10.21203/rs.3.rs-416077/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Purpose. Older cancer survivors required medical care during the COVID-19 pandemic despite infection risks, but there are limited data on medical care in this age group. Methods. We evaluated care disruptions in a longitudinal cohort of non-metastatic breast cancer survivors ages 60–98 from five US regions (n=321). Survivors completed a web-based or telephone survey from May 27, 2020 to September 11, 2020. Care disruptions included self-reported interruptions in ability to see doctors, receive treatment or supportive therapies, or fill prescriptions. Logistic regression models evaluated bivariate and multivariate associations between care disruptions and education, medical, psychosocial and COVID-19-related factors. Multivariate models included age, county COVID-19 rates, comorbidity and post-diagnosis time. Results. There was a high response rate (n=262, 81.6%). Survivors were 32.2 months post-diagnosis (SD 17.5, range 4–73). Nearly half (48%) reported a medical disruption. The unadjusted odds of care disruptions were significantly higher with more education (OR 1.23 per one-year increase, 95% CI 1.09–1.39, p =0.001) and greater depression (OR 1.04 per one-point increase in CES-D score, CI 1.003–1.08, p=0.033); tangible support decreased the odds of disruptions (OR 0.99, 95% CI 0.97–0.99 per one-point increase, p=0.012). There was a trend for associations between disruptions and comorbidity (unadjusted OR 1.13 per 1 added comorbidity, 95% CI 0.99–1.29, p=0.07). Adjusting for covariates, only higher education (p=0.001) and tangible social support (p=0.006) remained significantly associated with having care disruptions. Conclusions. Older breast cancer survivors reported high rates of medical care disruptions during the COVID-19 pandemic and psychosocial factors were associated with care disruptions.
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Affiliation(s)
- A Dilawari
- Medstar Washington Hospital Center Washington, DC.,Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - K E Rentscher
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA.,Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
| | - W Zhai
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.,Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC
| | - X Zhou
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.,Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC
| | - T A Ahles
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Ahn
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA
| | - T N Bethea
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - J E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA.,Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC
| | - H J Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC
| | - D A Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ
| | - Hsl Jim
- Moffitt Cancer Center, Tampa, FL
| | - B McDonald
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN
| | - Z M Nakamura
- Department of Psychiatry, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - S K Patel
- City of Hope National Medical Center, Los Angeles, CA
| | - J C Root
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - B J Small
- University of South Florida, Tampa, FL
| | - A J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine and Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN
| | | | - K Van Dyk
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC
| | - J S Mandelblatt
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
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Boynton-Jarrett R, Sponholtz TR, Rosenberg L, Palmer JR, Bethea TN, Wise LA. Abuse in Childhood and Risk for Sleep Disruption in Adulthood in the Black Women's Health Study. Sleep Med 2021; 83:260-270. [PMID: 34049046 DOI: 10.1016/j.sleep.2021.02.053] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Revised: 02/08/2021] [Accepted: 02/23/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To investigate the association of early life abuse with sleep disruption risk in adulthood among U.S. Black women. METHODS We analyzed data from the Black Women's Health Study, a prospective cohort study. In 2005, 29,998 women completed a self-administered questionnaire on early-life experiences of abuse (child and teen) and exposure to danger at any life stage. Participants reported on their sleep quality (snoring and diagnosed sleep apnea) in 2001, whether their "sleep was restless" in 2005, and their average sleep duration in 2009. We used log-binomial regression models to derive risk ratios (RRs) and 95% confidence intervals (CIs) for the association of child/teen abuse and danger at any life stage with snoring, diagnosis of sleep apnea, restless sleep, and short sleep duration. RESULTS Nearly 50% of participants reported one or more measure of sleep disruption in adulthood. Higher severity of physical abuse was associated with increased risk of sleep disruption and higher severity of sexual abuse was associated with increased risk for most sleep disruptions. The RR comparing child/teen physical and sexual abuse relative to no abuse was highest for diagnosed sleep apnea (2.03, 95% CI: 1.70, 2.41). Feeling in danger at any life stage (child, teen, adult, past year) was generally associated with greater increases in risk of sleep disruption among women with a history of early life abuse than among women without such a history. CONCLUSIONS Our findings suggest that abuse as a child and/or teen is related to disrupted sleep in adulthood.
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Affiliation(s)
- Renée Boynton-Jarrett
- Division of General Pediatrics, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA.
| | - Todd R Sponholtz
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington DC, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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Wesselink AK, Henn BC, Fruh V, Orta OR, Weuve J, Hauser R, Williams PL, McClean MD, Sjodin A, Bethea TN, Brasky TM, Baird DD, Wise LA. A Prospective Ultrasound Study of Plasma Polychlorinated Biphenyl Concentrations and Incidence of Uterine Leiomyomata. Epidemiology 2021; 32:259-267. [PMID: 33427764 PMCID: PMC8862183 DOI: 10.1097/ede.0000000000001320] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Uterine leiomyomata, or fibroids, are hormone-dependent neoplasms of the myometrium that can cause severe gynecologic morbidity. In previous studies, incidence of these lesions has been positively associated with exposure to polychlorinated biphenyls (PCBs), a class of persistent endocrine-disrupting chemicals. However, previous studies have been retrospective in design and none has used ultrasound to reduce disease misclassification. METHODS The Study of Environment, Lifestyle, and Fibroids is a prospective cohort of 1,693 reproductive-aged Black women residing in Detroit, Michigan (enrolled during 2010-2012). At baseline and every 20 months for 5 years, women completed questionnaires, provided blood samples, and underwent transvaginal ultrasound to detect incident fibroids. We analyzed 754 baseline plasma samples for concentrations of 24 PCB congeners using a case-cohort study design. We used multivariable Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals for the association between plasma PCB concentrations and ultrasound-detected fibroid incidence over a 5-year period. RESULTS We observed little association between PCB congener concentrations and fibroid incidence. The HR for a one-standard deviation increase in log-transformed total PCBs was 0.94 (95% CI = 0.78, 1.1). The PCB congener with the largest effect estimate was PCB 187 (HR for a one-standard deviation increase in log-transformed exposure = 0.88, 95% CI = 0.73, 1.1). Associations did not seem to vary strongly across PCB groupings based on hormonal activity. CONCLUSIONS In this cohort of reproductive-aged Black women, plasma PCB concentrations typical of the contemporary general population were not appreciably associated with higher risk of fibroids.
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Affiliation(s)
- Amelia K. Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, United States
| | - Victoria Fruh
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, United States
| | - Olivia R. Orta
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States
| | - Russ Hauser
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States
| | - Paige L. Williams
- Departments of Biostatistics and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States
| | - Michael D. McClean
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, United States
| | - Andreas Sjodin
- Centers for Disease Control and Prevention, Atlanta, Georgia, United States
| | - Traci N. Bethea
- Lombardi Cancer Center, Georgetown University, Washington, DC, United States
| | - Theodore M. Brasky
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, Ohio, United States
| | - Donna D. Baird
- National Institute of Environmental Health Sciences, Durham, North Carolina, United States
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States
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White AJ, Gregoire AM, Niehoff NM, Bertrand KA, Palmer JR, Coogan PF, Bethea TN. Air pollution and breast cancer risk in the Black Women's Health Study. Environ Res 2021; 194:110651. [PMID: 33387538 PMCID: PMC7946730 DOI: 10.1016/j.envres.2020.110651] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/04/2020] [Accepted: 12/17/2020] [Indexed: 05/27/2023]
Abstract
BACKGROUND Air pollution contains numerous carcinogens and endocrine disruptors which may be relevant for breast cancer. Previous research has predominantly been conducted in White women; however, Black women may have higher air pollution exposure due to geographic and residential factors. OBJECTIVE We evaluated the association between air pollution and breast cancer risk in a large prospective population of Black women. METHODS We estimated annual average ambient levels of particulate matter <2.5 μm (PM2.5), nitrogen dioxide (NO2) and ozone (O3) at the 1995 residence of 41,317 participants in the Black Women's Health Study who resided in 56 metropolitan areas across the United States. Cox proportional hazards regression was used to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for an interquartile range (IQR) increase in each pollutant. We evaluated whether the association varied by menopausal status, estrogen receptor (ER) status of the tumor and geographic region of residence. RESULTS With follow-up through 2015 (mean = 18.3 years), 2146 incident cases of breast cancer were confirmed. Higher exposure to NO2 or O3 was not associated with a higher risk of breast cancer. For PM2.5, although we observed no association overall, there was evidence of modification by geographic region for both ER- (p for heterogeneity = 0.01) and premenopausal breast cancer (p for heterogeneity = 0.01). Among women living in the Midwest, an IQR increase in PM2.5 (2.87 μg/m3), was associated with a higher risk of ER- (HR = 1.53, 95% CI: 1.07-2.19) and premenopausal breast cancer (HR = 1.32, 95% CI: 1.03-1.71). In contrast, among women living in the South, PM2.5 was inversely associated with both ER- (HR = 0.74, 95% CI: 0.56-0.97) and premenopausal breast cancer risk (HR = 0.75, 95% CI: 0.62-0.91). DISCUSSION Overall, we observed no association between air pollution and increased breast cancer risk among Black women, except perhaps among women living in the Midwestern US.
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Affiliation(s)
- Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.
| | - Allyson M Gregoire
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Nicole M Niehoff
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | | | - Julie R Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | | | - Traci N Bethea
- Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
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Bethea TN, Ochs-Balcom HM, Bandera EV, Beeghly-Fadiel A, Camacho F, Chyn D, Cloyd EK, Harris HR, Joslin CE, Myers E, Moorman PG, Peres LC, Rosenow W, Setiawan VW, Wu AH, Rosenberg L, Schildkraut JM. First- and second-degree family history of ovarian and breast cancer in relation to risk of invasive ovarian cancer in African American and white women. Int J Cancer 2021; 148:2964-2973. [PMID: 33521947 DOI: 10.1002/ijc.33493] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 01/05/2021] [Accepted: 01/20/2021] [Indexed: 11/07/2022]
Abstract
Family history (FH) of ovarian cancer and breast cancer are well-established risk factors for ovarian cancer, but few studies have examined this association in African American (AA) and white women by histotype. We assessed first- and second-degree FH of ovarian and breast cancer and risk of epithelial ovarian cancer in the Ovarian Cancer in Women of African Ancestry Consortium. Analyses included 1052 AA cases, 2328 AA controls, 2380 white cases and 3982 white controls. Race-specific odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multilevel logistic regression with adjustment for covariates. Analyses were stratified by histotype (high-grade serous vs others). First-degree FH of ovarian cancer was associated with high-grade serous carcinoma in AA (OR = 2.32, 95% CI: 1.50, 3.59) and white women (OR = 2.48, 95% CI: 1.82, 3.38). First-degree FH of breast cancer increased risk irrespective of histotype in AAs, but with high-grade serous carcinoma only in white women. Associations with second-degree FH of ovarian cancer were observed for overall ovarian cancer in white women and with high-grade serous carcinoma in both groups. First-degree FH of ovarian cancer and of breast cancer, and second-degree FH of ovarian cancer is strongly associated with high-grade serous ovarian carcinoma in AA and white women. The association of FH of breast cancer with high-grade serous ovarian carcinoma is similar in white women and AA women, but may differ for other histotypes.
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Affiliation(s)
- Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington, DC, USA
| | - Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA
| | - Alicia Beeghly-Fadiel
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Fabian Camacho
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Deanna Chyn
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Emily K Cloyd
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.,Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Charlotte E Joslin
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago School of Medicine, Chicago, Illinois, USA.,Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, Illinois, USA
| | - Evan Myers
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina, USA
| | - Patricia G Moorman
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina, USA
| | - Lauren C Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Will Rosenow
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Veronica W Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, Massachusetts, USA
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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Orta OR, Wesselink AK, Bethea TN, Claus Henn B, Weuve J, Fruh V, McClean MD, Sjodin A, Baird DD, Wise LA. Brominated flame retardants and organochlorine pesticides and incidence of uterine leiomyomata: A prospective ultrasound study. Environ Epidemiol 2021; 5:e127. [PMID: 33778359 PMCID: PMC7939431 DOI: 10.1097/ee9.0000000000000127] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 12/08/2020] [Indexed: 10/28/2022] Open
Abstract
Uterine leiomyomata (UL) are hormone-responsive benign neoplasms. Brominated flame retardants and organochlorine pesticides (OCPs) can disrupt hormones involved in UL etiology. METHODS The Study of Environmental, Lifestyle, and Fibroids is a Detroit-area prospective cohort of 1693 Black women 23-35 years of age. At baseline and approximately every 20 months for 5 years, women completed questionnaires and underwent transvaginal ultrasounds. Using a case-cohort study design, we selected 729 UL-free participants at baseline and analyzed baseline plasma samples for polybrominated diphenyl ethers (PBDEs), a polybrominated biphenyl ether (PBB-153), and OCPs. We used Cox proportional hazard models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Compared with total PBDE plasma concentrations <50th percentile, adjusted HRs for the 50th-74th, 75th-89th, and ≥90th percentiles were 1.00 (95% CI = 0.68, 1.47), 1.04 (95% CI = 0.63, 1.68), and 0.85 (95% CI = 0.48, 1.50), respectively. HRs for PBB-153 plasma concentrations were generally similar to total PBDE plasma concentrations. Compared with total OCP plasma concentrations <50th percentile, HRs for the 50th-74th, 75th-89th, and ≥90th percentiles were 0.86 (95% CI = 0.57, 1.29), 0.73 (95% CI = 0.43, 1.22), and 0.58 (95% CI = 0.32, 1.04), respectively. HRs for individual PBDEs and OCPs were similar to their respective totals. CONCLUSION We found little support for an association between brominated flame retardant plasma concentrations and UL incidence, and some evidence of lower UL incidence with the highest OCP plasma concentrations.
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Affiliation(s)
- Olivia R. Orta
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Amelia K. Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Traci N. Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Washington, D.C
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Victoria Fruh
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Michael D. McClean
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Andreas Sjodin
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Donna D. Baird
- National Institute of Environmental Health Sciences, Durham, North Carolina
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
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Benefield HC, Zirpoli GR, Allott EH, Shan Y, Hurson AN, Omilian AR, Khoury T, Hong CC, Olshan AF, Bethea TN, Bandera EV, Palmer JR, Ambrosone CB, Troester MA. Epidemiology of Basal-like and Luminal Breast Cancers among Black Women in the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 2021; 30:71-79. [PMID: 33097496 PMCID: PMC8935955 DOI: 10.1158/1055-9965.epi-20-0556] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 06/07/2020] [Accepted: 10/16/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Evidence suggests etiologic heterogeneity among breast cancer subtypes. Previous studies with six-marker IHC classification of intrinsic subtypes included small numbers of black women. METHODS Using centralized laboratory results for estrogen receptor (ER), progesterone receptor, HER2, proliferation marker, Ki-67, EGFR, and cytokeratin (CK)5/6, we estimated case-only and case-control ORs for established breast cancer risk factors among cases (n = 2,354) and controls (n = 2,932) in the African American Breast Cancer Epidemiology and Risk (AMBER) consortium. ORs were estimated by ER status and intrinsic subtype using adjusted logistic regression. RESULTS Case-only analyses by ER status showed etiologic heterogeneity by age at menarche, parity (vs. nulliparity), and age at first birth. In case-control analyses for intrinsic subtype, increased body mass index and waist-to-hip ratio (WHR) were associated with increased risk of luminal A subtype, whereas older age at menarche and parity, regardless of breastfeeding, were associated with reduced risk. For basal-like cancers, parity without breastfeeding and increasing WHR were associated with increased risk, whereas breastfeeding and age ≥25 years at first birth were associated with reduced risk among parous women. Basal-like and ER-/HER2+ subtypes had earlier age-at-incidence distribution relative to luminal subtypes. CONCLUSIONS Breast cancer subtypes showed distinct etiologic profiles in the AMBER consortium, a study of more than 5,000 black women with centrally assessed tumor biospecimens. IMPACT Among black women, high WHR and parity without breastfeeding are emerging as important intervention points to reduce the incidence of basal-like breast cancer.
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Affiliation(s)
- Halei C. Benefield
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gary R. Zirpoli
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Emma H. Allott
- Patrick G Johnston Centre for Cancer Research, Queen’s University Belfast, Belfast, United Kingdom
| | - Yue Shan
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Amber N. Hurson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Angela R. Omilian
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Thaer Khoury
- Department of Pathology, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Chi-Chen Hong
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Andrew F. Olshan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Traci N. Bethea
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Elisa V. Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Julie R. Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Melissa A. Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Wise LA, Wesselink AK, Bethea TN, Brasky TM, Wegienka G, Harmon Q, Block T, Baird DD. Intake of Lycopene and other Carotenoids and Incidence of Uterine Leiomyomata: A Prospective Ultrasound Study. J Acad Nutr Diet 2021; 121:92-104. [PMID: 33350944 PMCID: PMC7768815 DOI: 10.1016/j.jand.2020.08.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 07/23/2020] [Accepted: 08/12/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Uterine leiomyomata (UL) are the leading indication for hysterectomy in the United States. Dietary supplementation with lycopene was associated with reduced size and incidence of oviduct leiomyoma in the Japanese quail. Two US prospective cohort studies of women reported little association between intake of lycopene, or other carotenoids, and UL incidence. However, these studies relied on self-reported physician-diagnosed UL, which is prone to misclassification. OBJECTIVE This study examines the association between dietary intake of carotenoids and UL incidence. DESIGN Data were derived from the Study of the Environment, Lifestyle, and Fibroids, a prospective cohort study. Women completed self-administered baseline questionnaires on demographic characteristics, reproductive history, and lifestyle, including a 110-item validated food frequency questionnaire, from which dietary intakes of carotenoids-including alpha carotene, beta carotene, cryptoxanthin, lutein-zeaxanthin, and lycopene-and vitamin A were estimated. PARTICIPANTS/SETTING One thousand two hundred thirty Black women aged 23 to 35 years who did not have a previous diagnosis of UL, cancer, or autoimmune disease were eligible for enrollment (2010-2012). Participants were residents of the Detroit, MI, metropolitan area. MAIN OUTCOME MEASURES Transvaginal ultrasound was used to assess UL at baseline and 20, 40, and 60 months of follow-up. STATISTICAL ANALYSES PERFORMED Cox regression was used to estimate hazard ratios and 95% CIs, adjusted for energy intake, age at menarche, education, body mass index, parity, age at first birth, years since last birth, current use of oral contraceptives or progestin-only injectables, alcohol intake, and cigarette smoking. RESULTS Among 1,230 women without prevalent UL at baseline, 301 incident UL cases during follow-up were identified. Intakes of lycopene, other carotenoids, and vitamin A were not appreciably associated with UL incidence. Hazard ratios comparing quartiles 2 (2,376 to 3,397 μg/day), 3 (3,398 to 4,817 μg/day), and 4 (≥4,818 μg/day) with quartile 1 (<2,376 μg/day) of lycopene intake were 1.03 (95% CI 0.72 to 1.47), 1.22 (95% CI 0.86 to 1.72), and 0.95 (95% CI 0.67 to 1.36), respectively. CONCLUSIONS Study findings do not support the hypothesis that greater carotenoid intake is associated with reduced UL incidence.
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Affiliation(s)
- Lauren A Wise
- (1)Department of Epidemiology, Boston University School of Public Health, Boston, MA.
| | - Amelia K Wesselink
- (1)Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Traci N Bethea
- (2)Department of Oncology, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC
| | - Theodore M Brasky
- (3)Division of Medical Oncology, The Ohio State University College of Medicine; Columbus, OH
| | - Ganesa Wegienka
- (4)Department of Public Health Sciences, Henry Ford Health System; Detroit, MI
| | - Quaker Harmon
- (5)Epidemiology Branch, Women's Health Group, National Institute for Environmental Health Sciences, Research Triangle, NC
| | | | - Donna D Baird
- (5)Epidemiology Branch, Women's Health Group, National Institute for Environmental Health Sciences, Research Triangle, NC
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Palmer JR, Polley EC, Hu C, John EM, Haiman C, Hart SN, Gaudet M, Pal T, Anton-Culver H, Trentham-Dietz A, Bernstein L, Ambrosone CB, Bandera EV, Bertrand KA, Bethea TN, Gao C, Gnanaolivu RD, Huang H, Lee KY, LeMarchand L, Na J, Sandler DP, Shah PD, Yadav S, Yang W, Weitzel JN, Domchek SM, Goldgar DE, Nathanson KL, Kraft P, Yao S, Couch FJ. Contribution of Germline Predisposition Gene Mutations to Breast Cancer Risk in African American Women. J Natl Cancer Inst 2020; 112:1213-1221. [PMID: 32427313 PMCID: PMC7735769 DOI: 10.1093/jnci/djaa040] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 01/27/2020] [Accepted: 03/23/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The risks of breast cancer in African American (AA) women associated with inherited mutations in breast cancer predisposition genes are not well defined. Thus, whether multigene germline hereditary cancer testing panels are applicable to this population is unknown. We assessed associations between mutations in panel-based genes and breast cancer risk in 5054 AA women with breast cancer and 4993 unaffected AA women drawn from 10 epidemiologic studies. METHODS Germline DNA samples were sequenced for mutations in 23 cancer predisposition genes using a QIAseq multiplex amplicon panel. Prevalence of mutations and odds ratios (ORs) for associations with breast cancer risk were estimated with adjustment for study design, age, and family history of breast cancer. RESULTS Pathogenic mutations were identified in 10.3% of women with estrogen receptor (ER)-negative breast cancer, 5.2% of women with ER-positive breast cancer, and 2.3% of unaffected women. Mutations in BRCA1, BRCA2, and PALB2 were associated with high risks of breast cancer (OR = 47.55, 95% confidence interval [CI] = 10.43 to >100; OR = 7.25, 95% CI = 4.07 to 14.12; OR = 8.54, 95% CI = 3.67 to 24.95, respectively). RAD51D mutations were associated with high risk of ER-negative disease (OR = 7.82, 95% CI = 1.61 to 57.42). Moderate risks were observed for CHEK2, ATM, ERCC3, and FANCC mutations with ER-positive cancer, and RECQL mutations with all breast cancer. CONCLUSIONS The study identifies genes that predispose to breast cancer in the AA population, demonstrates the validity of current breast cancer testing panels for use in AA women, and provides a basis for increased referral of AA patients for cancer genetic testing.
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Affiliation(s)
- Julie R Palmer
- Department of Medicine, Boston University School of Medicine, and Slone Epidemiology Center, Boston, MA 02118, USA
| | - Eric C Polley
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Chunling Hu
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Esther M John
- Department of Health Research & Policy, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Christopher Haiman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Steven N Hart
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Mia Gaudet
- Epidemiology Research, American Cancer Society, Atlanta, GA 30303, USA
| | - Tuya Pal
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | | | - Amy Trentham-Dietz
- Department of Population Health Sciences and Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Leslie Bernstein
- Department of Population Sciences, City of Hope, Duarte, CA 91010, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New, New Brunswick, NJ 08903, USA
| | - Kimberly A Bertrand
- Department of Medicine, Boston University School of Medicine, and Slone Epidemiology Center, Boston, MA 02118, USA
| | - Traci N Bethea
- Department of Medicine, Boston University School of Medicine, and Slone Epidemiology Center, Boston, MA 02118, USA
| | - Chi Gao
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Rohan D Gnanaolivu
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Hongyan Huang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Kun Y Lee
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Loic LeMarchand
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center Honolulu, HI 96813, USA
| | - Jie Na
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Payal D Shah
- Abramson Cancer Center and Basser Center for BRCA, University of Pennsylvania, Philadelphia, PA 19104, USA; and 16Department of Dermatology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Siddhartha Yadav
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - William Yang
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Jeffrey N Weitzel
- Department of Population Sciences, City of Hope, Duarte, CA 91010, USA
| | - Susan M Domchek
- Abramson Cancer Center and Basser Center for BRCA, University of Pennsylvania, Philadelphia, PA 19104, USA; and 16Department of Dermatology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - David E Goldgar
- Department of Medicine, Boston University School of Medicine, and Slone Epidemiology Center, Boston, MA 02118, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Katherine L Nathanson
- Abramson Cancer Center and Basser Center for BRCA, University of Pennsylvania, Philadelphia, PA 19104, USA; and 16Department of Dermatology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Peter Kraft
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Song Yao
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
| | - Fergus J Couch
- Departments of Health Sciences Research, Laboratory Medicine and Pathology, and Oncology, Mayo Clinic, Rochester, MN 55902, USA
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Davis CP, Bandera EV, Bethea TN, Camacho TF, Joslin CE, Wu AH, Beeghly-Fadiel A, Cloyd EK, Moorman PG, Myers E, Ochs-Balcom HM, Peres LC, Rosenow WL, Setiawan VW, Rosenberg L, Schildkraut JM, Harris HR. Abstract PO-180: Genital powder use and risk of epithelial ovarian cancer in the Ovarian Cancer in Women of African Ancestry Consortium. Cancer Epidemiol Biomarkers Prev 2020. [DOI: 10.1158/1538-7755.disp20-po-180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
PURPOSE: To date, the epidemiology of epithelial ovarian cancer (EOC) among African-American women has been severely understudied. It remains unclear to what extent variation in the prevalence of EOC risk factors may explain incidence disparities between African-American and white women. Genital powder use is more common among African-American women; however, studies of genital power use and EOC risk have been conducted predominantly in white populations, and histotype specific analyses among African-American populations are limited. The objective of this study was to evaluate the association between genital powder use and EOC risk among African-American and white women, overall and by histotype.
METHODS: We used data from four ovarian cancer case-control studies in the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium: the African American Cancer Epidemiology Study, the Los Angeles County Ovarian Cancer Study, the Cook County Case-Control Study, and the North Carolina Ovarian Cancer Study. Participants included 601 African-American cases, 1,012 African-American controls, 2,225 white cases, and 3,086 white controls who answered questions on genital powder use prior to 2014. The association between genital powder use and EOC risk was estimated using logistic regression. Pooled histotype specific odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using polytomous logistic regression. The population attributable risk (PAR) by race was calculated using the Bruzzi method. RESULTS: The prevalence of reporting ever genital powder use was 66% among African-American women and 44% among white women. African- American women who ever used genital powder were 29% more likely to develop EOC compared to African-American women who reported no use (OR=1.29, 95% CI=0.98-1.71). White women who ever used genital powder were 36% more likely to develop EOC compared to white women reporting no use (OR=1.36, 95% CI=1.12- 1.52). The associations were similar when examined by histotype. Among African- American women, the ORs were 1.29 (95% CI=0.94-1.76) for high grade serous (HGS) and 1.38 (95% CI=0.87-2.19) for non-HGS. For white women, the corresponding ORs were 1.27 (95% CI=1.06-1.52) and 1.21 (95% CI=0.96-1.56), respectively. The PAR for genital powder use was slightly higher, but not statistically significantly different, in African-American women (PAR=10.7, 95% CI=3.7-17.5) compared to white women (PAR=7.8, 95% CI=4.9-10.7). CONCLUSION: While the prevalence of ever genital body powder use was higher among African-American women, the associations between genital powder use and ovarian cancer risk were similar between African-American and white women, and did not materially vary by histotype. Further analyses incorporating additional OCWAA studies and using more refined exposure categories (e.g., frequency and duration of powder use, age at first application) are currently being conducted.
Citation Format: Colette P. Davis, Elisa V. Bandera, Traci N. Bethea, Tareq F. Camacho, Charlotte E. Joslin, Anna H. Wu, Alicia Beeghly-Fadiel, Emily K. Cloyd, Patricia G. Moorman, Evan Myers, Heather M. Ochs-Balcom, Lauren C. Peres, Will L. Rosenow, Veronica W. Setiawan, Lynn Rosenberg, Joellen M Schildkraut, Holly R. Harris. Genital powder use and risk of epithelial ovarian cancer in the Ovarian Cancer in Women of African Ancestry Consortium [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr PO-180.
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Affiliation(s)
| | | | | | | | | | - Anna H. Wu
- 6University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA,
| | | | | | | | - Evan Myers
- 8Duke University Medical Center, Durham, North Carolina,
| | | | - Lauren C. Peres
- 10H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL,
| | | | - Veronica W. Setiawan
- 6University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA,
| | - Lynn Rosenberg
- 11Slone Epidemiology Center at Boston University, Boston, MA,
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Brasky TM, Bethea TN, Wesselink AK, Wegienka GR, Baird DD, Wise LA. Dietary Fat Intake and Risk of Uterine Leiomyomata: A Prospective Ultrasound Study. Am J Epidemiol 2020; 189:1538-1546. [PMID: 32556077 DOI: 10.1093/aje/kwaa097] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 06/04/2020] [Accepted: 06/04/2020] [Indexed: 01/22/2023] Open
Abstract
Uterine leiomyomata (UL) are associated with severe reproductive morbidity and are the primary indication for hysterectomy in the United States. A recent prospective cohort study of Black women reported positive associations between intakes of marine-sourced ω-3 fatty acids and UL risk. We examined whether intakes of dietary fat were associated with UL incidence in a 5-year prospective study of premenopausal Black women living in Detroit who underwent serial ultrasound. At baseline (2010-2012) and 20, 40, and 60 months of follow-up, participants underwent transvaginal ultrasound. Among 1,171 UL-free women at baseline, incident UL were detected in 277 women. Cox regression was used to estimate hazard ratios and 95% confidence intervals for the association of dietary fat and UL incidence. Intakes of total fat and saturated, monounsaturated, polyunsaturated, and trans-fat were not appreciably associated with UL incidence. Intake of the marine ω-3 polyunsaturated fatty acid, docosahexaenoic acid, was associated with 49% higher UL incidence (quartile 4 vs. 1: hazard ratio = 1.49, 95% confidence interval: 1.04, 2.14; P for trend = 0.01). Intakes of total marine ω-3 polyunsaturated fatty acids were similarly associated with elevated UL incidence (hazard ratio = 1.35, 95% confidence interval: 0.94, 1.93; P for trend = 0.03). It remains unclear whether the fatty acids or persistent environmental pollutants drive the association.
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50
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Peres LC, Bethea TN, Camacho TF, Bandera EV, Beeghly-Fadiel A, Chyn DL, Harris HR, Joslin CE, Moorman PG, Myers E, Ochs-Balcom HM, Rosenow W, Setiawan VW, Wu AH, Rosenberg L, Schildkraut JM. Racial Differences in Population Attributable Risk for Epithelial Ovarian Cancer in the OCWAA Consortium. J Natl Cancer Inst 2020; 113:710-718. [PMID: 33252629 DOI: 10.1093/jnci/djaa188] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/31/2020] [Accepted: 10/14/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The causes of racial disparities in epithelial ovarian cancer (EOC) incidence remain unclear. Differences in the prevalence of ovarian cancer risk factors may explain disparities in EOC incidence among African American (AA) and White women. METHODS We used data from 4 case-control studies and 3 case-control studies nested within prospective cohorts in the Ovarian Cancer in Women of African Ancestry Consortium to estimate race-specific associations of 10 known or suspected EOC risk factors using logistic regression. Using the Bruzzi method, race-specific population attributable risks (PAR) were estimated for each risk factor individually and collectively, including groupings of exposures (reproductive factors and modifiable factors). All statistical tests were 2-sided. RESULTS Among 3244 White EOC cases and 9638 controls and 1052 AA EOC cases and 2410 controls, AA women had a statistically significantly higher PAR (false discovery rate [FDR] P < .001) for first-degree family history of breast cancer (PAR = 10.1%, 95% confidence interval [CI] = 6.5% to 13.7%) compared with White women (PAR = 2.6%, 95% CI = 0.8% to 4.4%). After multiple test correction, AA women had a higher PAR than White women when evaluating all risk factors collectively (PAR = 61.6%, 95% CI = 48.6% to 71.3% vs PAR = 43.0%, 95% CI = 32.8% to 51.4%, respectively; FDR P = .06) and for modifiable exposures, including body mass index, oral contraceptives, aspirin, and body powder (PAR = 36.0%, 95% CI = 21.0% to 48.8% vs PAR = 13.8%, 95% CI = 4.5% to 21.8%, respectively; FDR P = .04). CONCLUSIONS Collectively, the selected risk factors accounted for slightly more of the risk among AA than White women, and interventions to reduce EOC incidence that are focused on multiple modifiable risk factors may be slightly more beneficial to AA women than White women at risk for EOC.
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Affiliation(s)
- Lauren C Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Traci N Bethea
- Office of Minority Health and Health Disparities Research, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Campus, Washington, DC, USA
| | - Tareq F Camacho
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Alicia Beeghly-Fadiel
- Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Deanna L Chyn
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Charlotte E Joslin
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago School of Medicine and Division of Epidemiology and Biostatistics, School of Public Health, Chicago, IL, USA
| | - Patricia G Moorman
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Evan Myers
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, NC, USA
| | - Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Will Rosenow
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - V Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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