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Hu CR, Wilt GE, Roscoe C, Iyer HS, Kessler WH, Laden F, Chavarro JE, Coull B, Redline S, James P, Hart JE. Associations of seasonally available global positioning systems-derived walkability and objectively measured sleep in the Nurses' Health Study 3 Mobile Health Substudy. Environ Epidemiol 2024; 8:e348. [PMID: 39399736 PMCID: PMC11469837 DOI: 10.1097/ee9.0000000000000348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Accepted: 09/18/2024] [Indexed: 10/15/2024] Open
Abstract
Background Sleep is influenced by the environments that we experience while awake and while asleep. Neighborhood walkability has been linked with chronic disease and lifestyle factors, such as physical activity; however, evidence for the association between walkability and sleep is mixed. Extant studies assign walkability based on residential addresses, which does not account for mobility. We examined the association between walkability and sleep in the Nurses' Health Study 3 (NHS3) Mobile Health Substudy (MHS). Methods From 2018 to 2020, individuals in the United States-based NHS3 prospective cohort participated in the MHS, in which minute-level global positioning systems (GPS) data and objective sleep duration and efficiency measures were collected via a custom smartphone application and Fitbit, respectively, for four 7-day periods across a year to capture seasonal variability. Census tract walkability was calculated by summing z-scores of population density (2015-2019 American Community Survey), business density (2018 Infogroup), and intersection density (2018 TIGER/Line road shapefiles). We ran generalized additive mixed models with penalized splines to estimate the association between walkability and sleep, adjusting for individual-level covariates as well as GPS-based exposure to environmental and contextual factors. Results The average main sleep period duration was 7.9 hours and the mean sleep efficiency was 93%. For both sleep duration and sleep efficiency, we did not observe an association with daily average walkability exposure. Conclusion In this study of women across the United States, we found that daily GPS-based neighborhood walkability exposure during wake time was not associated with objective wearable-derived sleep duration or sleep efficiency.
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Affiliation(s)
- Cindy R. Hu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Grete E. Wilt
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Charlotte Roscoe
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Population Sciences, Dana Farber Cancer Institute, Boston, Massachusetts
- Environmental Systems and Human Health, Oregon Health & Science University Portland State University School of Public Health, Portland, Oregon
| | - Hari S. Iyer
- Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - William H. Kessler
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Francine Laden
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jorge E. Chavarro
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Susan Redline
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Care Institute, Boston, Massachusetts
- Department of Public Health Sciences, University of California Davis School of Medicine, Sacramento, California
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
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2
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Xu L, Zucker DM, Wang M. Hypothesis testing for detecting outlier evaluators. Int J Biostat 2024:ijb-2023-0004. [PMID: 39485244 DOI: 10.1515/ijb-2023-0004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 09/13/2024] [Indexed: 11/03/2024]
Abstract
In epidemiological studies, the measurements of disease outcomes are carried out by different evaluators. In this paper, we propose a two-stage procedure for detecting outlier evaluators. In the first stage, a regression model is fitted to obtain the evaluators' effects. Outlier evaluators have different effects than normal evaluators. In the second stage, stepwise hypothesis tests are performed to detect outlier evaluators. The true positive rate and true negative rate of the proposed procedure are assessed in a simulation study. We apply the proposed method to detect potential outlier audiologists among the audiologists who measured hearing threshold levels of the participants in the Audiology Assessment Arm of the Conservation of Hearing Study, which is an epidemiological study for examining risk factors of hearing loss.
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Affiliation(s)
- Li Xu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - David M Zucker
- Department of Statistics and Data Science, Hebrew University of Jerusalem, Mt. Scopus, Jerusalem, Israel
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
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Kalia SS, Boddicker NJ, Yadav S, Huang H, Na J, Hu C, Ambrosone CB, Yao S, Haiman CA, Chen F, John EM, Kurian AW, Guo B, Lindstrӧm S, Auer P, Lacey JV, Neuhausen SL, Martinez ME, Sandler DP, O’Brien KM, Taylor JA, Teras LR, Hodge JM, Lori A, Bodelon C, Trentham-Dietz A, Burnside ES, Vachon CM, Winham SJ, Goldgar DE, Domchek SM, Nathanson KL, Weitzel JN, Couch FJ, Kraft P. Development of a Breast Cancer Risk Prediction Model Integrating Monogenic, Polygenic, and Epidemiologic Risk. Cancer Epidemiol Biomarkers Prev 2024; 33:1490-1499. [PMID: 39259185 PMCID: PMC11530304 DOI: 10.1158/1055-9965.epi-24-0594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 07/25/2024] [Accepted: 09/06/2024] [Indexed: 09/12/2024] Open
Abstract
BACKGROUND Breast cancer has been associated with monogenic, polygenic, and epidemiologic (clinical, reproductive, and lifestyle) risk factors, but studies evaluating the combined effects of these factors have been limited. METHODS We extended previous work in breast cancer risk modeling, incorporating pathogenic variants (PV) in six breast cancer predisposition genes and a 105-SNP polygenic risk score (PRS), to include an epidemiologic risk score (ERS) in a sample of non-Hispanic White women drawn from prospective cohorts and population-based case-control studies, with 23,518 cases and 22,832 controls, from the Cancer Risk Estimates Related to Susceptibility (CARRIERS) Consortium. RESULTS The model predicts 4.4-fold higher risk of breast cancer for postmenopausal women with no predisposition PV and median PRS, but with the highest versus lowest ERS. Overall, women with CHEK2 PVs had >20% lifetime risk of breast cancer. However, 15.6% of women with CHEK2 PVs and a family history of breast cancer, and 45.1% of women with CHEK2 PVs but without a family history of breast cancer, had low (<20%) predicted lifetime risk and thus were below the threshold for MRI screening. CHEK2 PV carriers at the 10th percentile of the joint distribution of ERS and PRS, without a family history of breast cancer, had a predicted lifetime risk similar to the general population. CONCLUSIONS These results illustrate that an ERS, alone and combined with the PRS, can contribute to clinically relevant risk stratification. IMPACT Integrating monogenic, polygenic, and epidemiologic risk factors in breast cancer risk prediction models may inform personalized screening and prevention efforts.
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Affiliation(s)
- Sarah S. Kalia
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | | | - Hongyan Huang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jie Na
- Mayo Clinic, Rochester, MN, USA
| | | | | | - Song Yao
- Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | | | - Fei Chen
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Esther M. John
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Boya Guo
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Fred Hutchinson Cancer Research Center. Seattle, WA, USA
| | - Sara Lindstrӧm
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Fred Hutchinson Cancer Research Center. Seattle, WA, USA
| | - Paul Auer
- Medical College of Wisconsin, Milwaukee, WI, USA
| | - James V. Lacey
- Beckman Research Institute of City of Hope, Duarte, CA, USA
| | | | | | - Dale P. Sandler
- National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Katie M. O’Brien
- National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Jack A. Taylor
- National Institute of Environmental Health Sciences, Durham, NC, USA
| | | | | | | | | | | | | | | | | | | | - Susan M. Domchek
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | - Peter Kraft
- 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
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Brennand EA, Scime NV, Huang B, McDonagh Hull P. Education level is associated with the occurrence and timing of hysterectomy: A cohort study of Canadian women. Acta Obstet Gynecol Scand 2024; 103:2211-2220. [PMID: 39223035 PMCID: PMC11502446 DOI: 10.1111/aogs.14959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Revised: 07/22/2024] [Accepted: 08/13/2024] [Indexed: 09/04/2024]
Abstract
INTRODUCTION Hysterectomy is a common surgery with discernible practice variations that could be influenced by socioeconomic factors. We examined the association between level of educational attainment and the occurrence and timing of hysterectomy in Canadian women. MATERIAL AND METHODS We conducted a prospective cohort study of 30 496 females in the Alberta's Tomorrow Project (2000-2015) followed approximately every 4 years using self-report questionnaires. Educational attainment was defined as high school diploma or less, college degree, university degree (reference group), and postgraduate degree. We used logistic regression analyzing hysterectomy occurrence at any time and before menopause, separately, and flexible parametric survival models analyzing hysterectomy timing with age as the time scale. Multivariable models controlled for race/ethnicity, rural/urban residence, parity, oral contraceptive use, and smoking. RESULTS Overall, 39.1% of females reported a high school diploma or less, 28.9% reported a college degree, 23.5% reported a university degree, and 8.5% reported a postgraduate degree. A graded association was observed between lower education and higher odds of hysterectomy (high school or less: adjusted odds ratio [AOR] 1.68, 95% CI 1.55-1.82; college degree: AOR 1.58, 95% CI 1.45-1.72); results were similar for premenopausal hysterectomy. A graded association between lower education and earlier timing of hysterectomy was also observed up to approximately age 60 (eg at age 40: high school or less adjusted hazard ratio [AHR] 1.61, 95% CI 1.49-1.75; college degree AHR 1.53, 95% CI 1.40-1.67). CONCLUSIONS Women with lower levels of education were more likely to experience hysterectomy, including hysterectomy before menopause and at younger ages.
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Affiliation(s)
- Erin A. Brennand
- Department of Obstetrics & Gynecology, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
- Department of Community Health Sciences, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Natalie V. Scime
- Department of Obstetrics & Gynecology, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
- Department of Health and SocietyUniversity of Toronto ScarboroughTorontoOntarioCanada
| | - Beili Huang
- Department of Obstetrics & Gynecology, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Pauline McDonagh Hull
- Department of Obstetrics & Gynecology, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
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Wellington NJ, Boucas AP, Lagopoulos J, Kuballa AV. Clinical potential of epigenetic and microRNA biomarkers in PTSD. J Neurogenet 2024:1-23. [PMID: 39470065 DOI: 10.1080/01677063.2024.2419098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 10/16/2024] [Indexed: 10/30/2024]
Abstract
Molecular studies identifying alterations associated with PTSD have predominantly focused on candidate genes or conducted genome-wide analyses, often encountering issues with replicability. This review aims to identify robust bi-directional epigenetic and microRNA (miRNA) regulators focusing on their functional impacts on post-traumatic stress disorder (PTSD) and their utility in clinical diagnosis, whilst examining knowledge gaps in the existing research. A systematic search was conducted across multiple databases, including Web of Science, Scopus, Global Health (CABI), and PubMed, augmented by grey literature, yielding 3465 potential articles. Ultimately, 92 studies met the inclusion criteria and were analysed to pinpoint significant epigenetic changes with clinically relevant potential in PTSD. The selected studies explored histone modifications, CpG sites, single nucleotide polymorphisms (SNPs), and miRNA biomarkers. Specifically, nine studies examined epigenetic markers, detailing the influence of methylation on chromatin accessibility at histone positions H3K4, H3K9, and H3K36 within a PTSD context. Seventy-three studies investigated DNA methylation, identifying 20 hypermethylated and five hypomethylated CpG islands consistently observed in PTSD participants. Nineteen studies linked 88 SNPs to PTSD, with only one SNP replicated within these studies. Furthermore, sixteen studies focused on miRNAs, with findings indicating 194 downregulated and 24 upregulated miRNAs were associated with PTSD. Although there are epigenetic mechanisms that are significantly affected by PTSD, a granular deconstruction of these mechanisms elucidates the need to incorporate more nuanced approaches to identifying the factors that contribute to PTSD. Technological advances in diagnostic tools are driving the need to integrate detailed participant characteristics, trauma type, genetic susceptibilities, and best practices for robust reporting. This comprehensive approach will be crucial for enhancing the translational potential of PTSD research for clinical application.
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Affiliation(s)
- Nathan J Wellington
- National PTSD Research Centre, Thompson Institute, University of the Sunshine Coast (UniSC), Birtinya, Australia
- School of Health, UniSC, Sippy Downs, Australia
- Centre for Bioinnovation, UniSC, Sippy Downs, Australia
- Sunshine Coast Health Institute, Sunshine Coast Hospital and Health Service, Birtinya, Australia
| | | | - Jim Lagopoulos
- Thompson Brain and Mind Healthcare, Sunshine Plaza, Australia
| | - Anna V Kuballa
- School of Health, UniSC, Sippy Downs, Australia
- Centre for Bioinnovation, UniSC, Sippy Downs, Australia
- Sunshine Coast Health Institute, Sunshine Coast Hospital and Health Service, Birtinya, Australia
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Higuera-Gómez A, de la O V, San-Cristobal R, Ribot-Rodríguez R, Espinosa-Salinas I, Dávalos A, Portillo MP, Martínez JA. Computational algorithm based on health and lifestyle traits to categorize lifemetabotypes in the NUTRiMDEA cohort. Sci Rep 2024; 14:24835. [PMID: 39438551 PMCID: PMC11496800 DOI: 10.1038/s41598-024-75110-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 10/01/2024] [Indexed: 10/25/2024] Open
Abstract
Classifying individuals based on metabotypes and lifestyle phenotypes using exploratory factor analyses, cluster definition, and machine-learning algorithms is promising for precision chronic disease prevention and management. This study analyzed data from the NUTRiMDEA online cohort (baseline: n = 17332 and 62 questions) to develop a clustering tool based on 32 accessible questions using machine-learning strategies. Participants ranged from 18 to over 70 years old, with 64.1% female and 35.5% male. Five clusters were identified, combining metabolic, lifestyle, and personal data: Cluster 1 ("Westernized Millennial", n = 967) included healthy young individuals with fair lifestyle habits; Cluster 2 ("Healthy", n = 10616) consisted of healthy adults; Cluster 3 ("Mediterranean Young Adult", n = 2013) represented healthy young adults with a healthy lifestyle and showed the highest adherence to the Mediterranean diet; Cluster 4 ("Pre-morbid", n = 600) was characterized by healthy adults with declined mood; Cluster 5 ("Pro-morbid", n = 312) comprised older individuals (47% >55 years) with poorer lifestyle habits, worse health, and a lower health-related quality of life. A computational algorithm was elicited, which allowed quick cluster assignment based on responses ("lifemetabotypes"). This machine-learning approach facilitates personalized interventions and precision lifestyle recommendations, supporting online methods for targeted health maintenance and chronic disease prevention.
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Affiliation(s)
- Andrea Higuera-Gómez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies) Campus of International Excellence (CEI) UAM+CSIC, Madrid, Spain
| | - Víctor de la O
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies) Campus of International Excellence (CEI) UAM+CSIC, Madrid, Spain.
- Faculty of Health Sciences, International University of La Rioja (UNIR), Logroño, Spain.
| | - Rodrigo San-Cristobal
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies) Campus of International Excellence (CEI) UAM+CSIC, Madrid, Spain
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels de l'Université Laval (INAF), Université Laval, Québec, QC, Canada
- School of Nutrition, Université Laval, Québec, Canada
| | - Rosa Ribot-Rodríguez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies) Campus of International Excellence (CEI) UAM+CSIC, Madrid, Spain
| | - Isabel Espinosa-Salinas
- Nutritional Genomics and Health Unit, IMDEA-Food Institute (Madrid Institute for Advanced Studies) Campus of International Excellence (CEI) UAM+CSIC, Madrid, Spain
| | - Alberto Dávalos
- Epigenetics of Lipid Metabolism Group, IMDEA-Food Institute (Madrid Institute for Advanced Studies) Campus of International Excellence (CEI) UAM+CSIC, Madrid, Spain
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN, Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - María P Portillo
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN, Institute of Health Carlos III (ISCIII), Madrid, Spain
- Nutrition and Obesity Group, Department of Pharmacy and Food Science, Lucio Lascaray Research Institute, University of the Basque Country (UPV/EHU), Vitoria, Spain
- Bioaraba Health Research Institute, Alava, Spain
| | - J Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies) Campus of International Excellence (CEI) UAM+CSIC, Madrid, Spain
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN, Institute of Health Carlos III (ISCIII), Madrid, Spain
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7
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Yi L, Hart JE, Straczkiewicz M, Karas M, Wilt GE, Hu CR, Librett R, Laden F, Chavarro JE, Onnela JP, James P. Measuring Environmental and Behavioral Drivers of Chronic Diseases Using Smartphone-Based Digital Phenotyping: Intensive Longitudinal Observational mHealth Substudy Embedded in 2 Prospective Cohorts of Adults. JMIR Public Health Surveill 2024; 10:e55170. [PMID: 39392682 PMCID: PMC11512133 DOI: 10.2196/55170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 08/10/2024] [Accepted: 08/30/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND Previous studies investigating environmental and behavioral drivers of chronic disease have often had limited temporal and spatial data coverage. Smartphone-based digital phenotyping mitigates the limitations of these studies by using intensive data collection schemes that take advantage of the widespread use of smartphones while allowing for less burdensome data collection and longer follow-up periods. In addition, smartphone apps can be programmed to conduct daily or intraday surveys on health behaviors and psychological well-being. OBJECTIVE The aim of this study was to investigate the feasibility and scalability of embedding smartphone-based digital phenotyping in large epidemiological cohorts by examining participant adherence to a smartphone-based data collection protocol in 2 ongoing nationwide prospective cohort studies. METHODS Participants (N=2394) of the Beiwe Substudy of the Nurses' Health Study 3 and Growing Up Today Study were followed over 1 year. During this time, they completed questionnaires every 10 days delivered via the Beiwe smartphone app covering topics such as emotions, stress and enjoyment, physical activity, access to green spaces, pets, diet (vegetables, meats, beverages, nuts and dairy, and fruits), sleep, and sitting. These questionnaires aimed to measure participants' key health behaviors to combine them with objectively assessed high-resolution GPS and accelerometer data provided by participants during the same period. RESULTS Between July 2021 and June 2023, we received 11.1 TB of GPS and accelerometer data from 2394 participants and 23,682 survey responses. The average follow-up time for each participant was 214 (SD 148) days. During this period, participants provided an average of 14.8 (SD 5.9) valid hours of GPS data and 13.2 (SD 4.8) valid hours of accelerometer data. Using a 10-hour cutoff, we found that 51.46% (1232/2394) and 53.23% (1274/2394) of participants had >50% of valid data collection days for GPS and accelerometer data, respectively. In addition, each participant submitted an average of 10 (SD 11) surveys during the same period, with a mean response rate of 36% across all surveys (SD 17%; median 41%). After initial processing of GPS and accelerometer data, we also found that participants spent an average of 14.6 (SD 7.5) hours per day at home and 1.6 (SD 1.6) hours per day on trips. We also recorded an average of 1046 (SD 1029) steps per day. CONCLUSIONS In this study, smartphone-based digital phenotyping was used to collect intensive longitudinal data on lifestyle and behavioral factors in 2 well-established prospective cohorts. Our assessment of adherence to smartphone-based data collection protocols over 1 year suggests that adherence in our study was either higher or similar to most previous studies with shorter follow-up periods and smaller sample sizes. Our efforts resulted in a large dataset on health behaviors that can be linked to spatial datasets to examine environmental and behavioral drivers of chronic disease.
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Affiliation(s)
- Li Yi
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Jaime E Hart
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Marcin Straczkiewicz
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Marta Karas
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Grete E Wilt
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Cindy R Hu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Rachel Librett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Francine Laden
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Jorge E Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Jukka-Pekka Onnela
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, United States
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8
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Lai PMR, Jimenez M, Rexrode K, Du R. Plasma Estrogen Levels and Aneurysmal Subarachnoid Hemorrhage in Women. World Neurosurg 2024:S1878-8750(24)01632-2. [PMID: 39313193 DOI: 10.1016/j.wneu.2024.09.083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 09/15/2024] [Accepted: 09/16/2024] [Indexed: 09/25/2024]
Abstract
OBJECTIVE Aneurysmal subarachnoid hemorrhage (aSAH) is more prevalent in postmenopausal women, and it has been postulated that this relationship is hormonally driven by lower circulating levels of estrogens. We examined the association between circulating plasma estrogen levels and subsequent development of aSAH in women. METHODS Women from the Nurses' Health Study with confirmed aSAH (n = 38) were matched with controls (n = 38) on age, smoking, menopausal status, and other reproductive factors. Plasma estriol, estradiol, and sex hormone-binding globulin were measured at baseline, prior to the development of aSAH. Conditional logistic regressions were performed to assess the association between hormone levels and incident aSAH. RESULTS Plasma estradiol, estriol, and sex hormone-binding globulin were not associated with the subsequent development of aSAH. Women with a history of current or former smoking were associated with lower levels of circulating estriol (β = -0.35 ± 0.12, P = 0.004) and estradiol (β = -0.63 ± 0.16, P = 0.0002). CONCLUSIONS In this study, we did not find an association between estrogen levels and the incidence of aSAH in women.
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Affiliation(s)
- Pui Man Rosalind Lai
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Monik Jimenez
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Kathryn Rexrode
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Rose Du
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.
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9
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He J, Cabrera-Mendoza B, De Angelis F, Pathak GA, Koller D, Curhan SG, Curhan GC, Mecca AP, van Dyck CH, Polimanti R. Sex differences in the pleiotropy of hearing difficulty with imaging-derived phenotypes: a brain-wide investigation. Brain 2024; 147:3395-3408. [PMID: 38454550 PMCID: PMC11449129 DOI: 10.1093/brain/awae077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 01/22/2024] [Accepted: 02/21/2024] [Indexed: 03/09/2024] Open
Abstract
Hearing difficulty (HD) is a major health burden in older adults. While ageing-related changes in the peripheral auditory system play an important role, genetic variation associated with brain structure and function could also be involved in HD predisposition. We analysed a large-scale HD genome-wide association study (GWAS; ntotal = 501 825, 56% females) and GWAS data related to 3935 brain imaging-derived phenotypes (IDPs) assessed in up to 33 224 individuals (52% females) using multiple MRI modalities. To investigate HD pleiotropy with brain structure and function, we conducted genetic correlation, latent causal variable, Mendelian randomization and multivariable generalized linear regression analyses. Additionally, we performed local genetic correlation and multi-trait co-localization analyses to identify genomic regions and loci implicated in the pleiotropic mechanisms shared between HD and brain IDPs. We observed a widespread genetic correlation of HD with 120 IDPs in females, 89 in males and 171 in the sex-combined analysis. The latent causal variable analysis showed that some of these genetic correlations could be due to cause-effect relationships. For seven of them, the causal effects were also confirmed by the Mendelian randomization approach: vessel volume→HD in the sex-combined analysis; hippocampus volume→HD, cerebellum grey matter volume→HD, primary visual cortex volume→HD and HD→fluctuation amplitudes of node 46 in resting-state functional MRI dimensionality 100 in females; global mean thickness→HD and HD→mean orientation dispersion index in superior corona radiata in males. The local genetic correlation analysis identified 13 pleiotropic regions between HD and these seven IDPs. We also observed a co-localization signal for the rs13026575 variant between HD, primary visual cortex volume and SPTBN1 transcriptomic regulation in females. Brain structure and function may have a role in the sex differences in HD predisposition via possible cause-effect relationships and shared regulatory mechanisms.
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Affiliation(s)
- Jun He
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veteran Affairs Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veteran Affairs Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Dora Koller
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona 08028, Spain
| | - Sharon G Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Gary C Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Adam P Mecca
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Christopher H van Dyck
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Alzheimer’s Disease Research Unit, Yale University School of Medicine, New Haven, CT 06510, USA
- Departments of Neuroscience and Neurology, Yale University School of Medicine, New Haven, CT 06511, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veteran Affairs Connecticut Healthcare System, West Haven, CT 06516, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06511, USA
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10
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Stuifbergen AK, Becker H, Kullberg V, Palesh O, Kesler SR. Nurturing Longitudinal Samples 2.0. West J Nurs Res 2024; 46:831-836. [PMID: 39158006 PMCID: PMC11528941 DOI: 10.1177/01939459241273328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/20/2024]
Abstract
BACKGROUND While longitudinal designs can provide significant advantages compared to single measurement/cross sectional designs, they require careful attention to study infrastructure and the risk of attrition among the sample over multiple time points. OBJECTIVE The strategies used to design and manage an appropriate infrastructure for a longitudinal study and approaches to retain samples are explored using examples from 2 studies, a 25-year study of persons living with multiple sclerosis and a 10-year longitudinal follow-up of breast cancer survivors. RESULTS Key strategies (developing appropriate infrastructure, minimizing costs to participants, and maximizing rewards of study participation) have helped address the serious threat of attrition in these longitudinal samples. CONCLUSION Implementation of these strategies can help mitigate some of the disadvantages and leverage the strengths of longitudinal research to produce reliable, insightful, and impactful outcomes.
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Affiliation(s)
| | - Heather Becker
- The University of Texas at Austin School of Nursing, Austin, TX, USA
| | - Vicki Kullberg
- The University of Texas at Austin School of Nursing, Austin, TX, USA
| | - Oxana Palesh
- Virginia Commonwealth University Massey Cancer Center, Richmond, VA, USA
| | - Shelli R. Kesler
- The University of Texas at Austin School of Nursing, Austin, TX, USA
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11
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Eichelmann F, Prada M, Sellem L, Jackson KG, Salas Salvadó J, Razquin Burillo C, Estruch R, Friedén M, Rosqvist F, Risérus U, Rexrode KM, Guasch-Ferré M, Sun Q, Willett WC, Martinez-Gonzalez MA, Lovegrove JA, Hu FB, Schulze MB, Wittenbecher C. Lipidome changes due to improved dietary fat quality inform cardiometabolic risk reduction and precision nutrition. Nat Med 2024; 30:2867-2877. [PMID: 38992128 PMCID: PMC11485259 DOI: 10.1038/s41591-024-03124-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 06/11/2024] [Indexed: 07/13/2024]
Abstract
Current cardiometabolic disease prevention guidelines recommend increasing dietary unsaturated fat intake while reducing saturated fats. Here we use lipidomics data from a randomized controlled dietary intervention trial to construct a multilipid score (MLS), summarizing the effects of replacing saturated fat with unsaturated fat on 45 lipid metabolite concentrations. In the EPIC-Potsdam cohort, a difference in the MLS, reflecting better dietary fat quality, was associated with a significant reduction in the incidence of cardiovascular disease (-32%; 95% confidence interval (95% CI): -21% to -42%) and type 2 diabetes (-26%; 95% CI: -15% to -35%). We built a closely correlated simplified score, reduced MLS (rMLS), and observed that beneficial rMLS changes, suggesting improved dietary fat quality over 10 years, were associated with lower diabetes risk (odds ratio per standard deviation of 0.76; 95% CI: 0.59 to 0.98) in the Nurses' Health Study. Furthermore, in the PREDIMED trial, an olive oil-rich Mediterranean diet intervention primarily reduced diabetes incidence among participants with unfavorable preintervention rMLS levels, suggestive of disturbed lipid metabolism before intervention. Our findings indicate that the effects of dietary fat quality on the lipidome can contribute to a more precise understanding and possible prediction of the health outcomes of specific dietary fat modifications.
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Affiliation(s)
- Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
| | - Marcela Prada
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Laury Sellem
- Hugh Sinclair Unit of Human Nutrition, Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, Reading, UK
| | - Kim G Jackson
- Hugh Sinclair Unit of Human Nutrition, Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, Reading, UK
| | - Jordi Salas Salvadó
- Human Nutrition Unit, Department of Biochemistry and Biotechnology, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Cristina Razquin Burillo
- Human Nutrition Unit, Department of Biochemistry and Biotechnology, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
| | - Ramon Estruch
- Human Nutrition Unit, Department of Biochemistry and Biotechnology, Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Michael Friedén
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Frederik Rosqvist
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Marta Guasch-Ferré
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qi Sun
- 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
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Miguel Angel Martinez-Gonzalez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA (Instituto de Investigación Sanitaria de Navarra), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, Reading, UK
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
- Department of Life Sciences, SciLifeLab, Chalmers University of Technology, Gothenburg, Sweden.
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12
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Sikavi DR, Wang K, Ma W, Drew DA, Ogino S, Giovannucci EL, Cao Y, Song M, Nguyen LH, Chan AT. Aspirin Use and Incidence of Colorectal Cancer According to Lifestyle Risk. JAMA Oncol 2024; 10:1354-1361. [PMID: 39088221 PMCID: PMC11295063 DOI: 10.1001/jamaoncol.2024.2503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 03/19/2024] [Indexed: 08/02/2024]
Abstract
Importance Aspirin reduces the risk of colorectal cancer (CRC). Identifying individuals more likely to benefit from regular aspirin use for CRC prevention is a high priority. Objective To assess whether aspirin use is associated with the risk of CRC across different lifestyle risk factors. Design, Setting, and Participants A prospective cohort study among women in the Nurses' Health Study (1980-2018) and men in the Health Professionals Follow-Up Study (1986-2018) was conducted. Data analysis was performed from October 1, 2021, to May 22, 2023. Exposures A healthy lifestyle score was calculated based on body mass index, alcohol intake, physical activity, diet, and smoking with scores ranging from 0 to 5 (higher values corresponding to a healthier lifestyle). Regular aspirin use was defined as 2 or more standard tablets (325 mg) per week. Main Outcome and Measures Outcomes included multivariable-adjusted 10-year cumulative incidence of CRC, absolute risk reduction (ARR), and number needed to treat associated with regular aspirin use by lifestyle score and multivariable-adjusted hazard ratios for incident CRC across lifestyle scores. Results The mean (SD) baseline age of the 107 655 study participants (63 957 women from the Nurses' Health Study and 43 698 men from the Health Professionals Follow-Up Study) was 49.4 (9.0) years. During 3 038 215 person-years of follow-up, 2544 incident cases of CRC were documented. The 10-year cumulative CRC incidence was 1.98% (95% CI, 1.44%-2.51%) among participants who regularly used aspirin compared with 2.95% (95% CI, 2.31%-3.58%) among those who did not use aspirin, corresponding to an ARR of 0.97%. The ARR associated with aspirin use was greatest among those with the unhealthiest lifestyle scores and progressively decreased with healthier lifestyle scores (P < .001 for additive interaction). The 10-year ARR for lifestyle scores 0 to 1 (unhealthiest) was 1.28%. In contrast, the 10-year ARR for lifestyle scores 4 to 5 (healthiest) was 0.11%. The 10-year number needed to treat with aspirin was 78 for participants with lifestyle scores 0 to 1, 164 for score 2, 154 for score 3, and 909 for scores 4 to 5. Among the components of the healthy lifestyle score, the greatest differences in ARR associated with aspirin use were observed for body mass index and smoking. Conclusions and Relevance In this cohort study, aspirin use was associated with a greater absolute reduction in risk of CRC among individuals with less healthy lifestyles. The findings of the study suggest that lifestyle risk factors may be useful to identify individuals who may have a more favorable risk-benefit profile for cancer prevention with aspirin.
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Affiliation(s)
- Daniel R. Sikavi
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Kai Wang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston
| | - David A. Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Shuji Ogino
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Cancer Immunology and Cancer Epidemiology Programs, Dana-Farber Harvard Cancer Center, Boston, Massachusetts
| | - Edward L. Giovannucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri
| | - Long H. Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Immunology & Infectious Disease, Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
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13
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Curhan SG, Zeleznik OA, Curhan GC. Longitudinal Study of Seafood and Fish Oil Supplement Intake and Risk of Persistent Tinnitus. Am J Clin Nutr 2024:S0002-9165(24)00804-9. [PMID: 39349293 DOI: 10.1016/j.ajcnut.2024.09.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 09/24/2024] [Accepted: 09/26/2024] [Indexed: 10/02/2024] Open
Abstract
BACKGROUND Persistent tinnitus is common, disabling, and difficult to treat. Diet has been implicated in tinnitus etiology, but studies are inconsistent and longitudinal data are scarce. Seafood intake is associated with lower risk of hearing loss, but the longitudinal association with tinnitus is unknown. OBJECTIVE We examined the independent associations of seafood intake, fish oil supplement use, and risk of developing persistent tinnitus. METHODS This prospective cohort study followed 73,482 females in the Nurses' Health Study II from 1991 to 2021. Diet was assessed using a validated food frequency questionnaire every 4 years. Multivariable-adjusted Cox proportional hazards regression was used to evaluate independent associations between total seafood intake, specific types of fish, shellfish, fish oil supplements, and risk of persistent tinnitus (defined as tinnitus experienced daily). RESULTS After 1,998,421 person-years of follow-up, 9,362 cases of incident persistent tinnitus were reported. Seafood intake was independently associated with lower risk of developing persistent tinnitus. Compared with participants who never or rarely consumed seafood, the multivariable-adjusted hazard ratios (MVHR,95% CI) for tinnitus were 0.87 (0.78, 0.95) among participants who consumed 1 serving/week, 0.77 (0.68, 0.86) for 2-4 servings/week, and 0.79 (0.64, 0.96) for 5+/servings/week (p-trend<0.0001). Examined individually, higher intakes of tuna fish, light-meat fish and shellfish were associated with lower risk. Compared with participants who never or rarely consumed the specific type, the MVHRs for consumption of 1+ servings/week were 0.84 (0.78, 0.90)(p-trend <0.0001) for tuna fish, 0.91 (0.83, 0.99)(p-trend=0.04) for light-meat fish, and 0.82 (0.72, 0.93)(p-trend<0.0001) for shellfish. Higher risk for dark-meat fish intake was suggested (MVHR: 1.09 (0.99,1.21)(p-trend=0.04). Fish oil supplement use (yes/no) was associated with higher risk (MVHR: 1.12 (1.06,1.19)). CONCLUSION Regular consumption of tuna fish, light-meat fish or shellfish is associated with lower risk of developing persistent tinnitus in females. Fish oil supplement use is associated with higher risk.
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Affiliation(s)
- Sharon G Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Gary C Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Renal Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
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14
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Richmond TK, Farbman Kadish E, Santoso M, Milliren CE, Kells M, Woolverton GA, Woods ER, Forman SF. Building RECOVERY: development of the registry of eating disorders and their co-morbidities OVER time in youth. J Eat Disord 2024; 12:147. [PMID: 39334287 PMCID: PMC11430501 DOI: 10.1186/s40337-024-01097-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 08/29/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Eating disorder (ED) research is limited by the lack of longitudinal cohort studies, particularly those in adolescents, and the lack of inclusion of multiple perspectives and diagnoses. The objective of this study was to describe the development of a longitudinal cohort of adolescents/young adults representing varied ED diagnoses and including perspectives of parents and multi-disciplinary clinicians in addition to those of patients. METHODS Patients of an outpatient ED program who were age 10-27 years, along with their parents and clinicians, were recruited to participate in a longitudinal web-based study. Using univariate, bivariate, and multivariate analyses, we assessed rates of participation among different groups (i.e., parents, patients, different clinical disciplines) as well as factors related to attrition. RESULTS 71% of patients, 75% of parents, 56% of adolescent medicine providers, 20% of primary care physicians, 83% of dietitians, and 80% of mental health clinicians invited agreed to participate. At 12 months, 32% of patient participants had not completed their on-line surveys. Attrition rates were higher for parents (55%) and clinicians (45% of nutritionists, 55% of primary care physicians, 51% of Adolescent/Young Adult providers, and 64% of mental health providers) at 12 months. CONCLUSIONS A longitudinal registry of patients with EDs is feasible and efficient when using web-based surveys. However, clinician participation is particularly hard to secure and maintain.
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Affiliation(s)
- Tracy K Richmond
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, 333 Longwood Ave, LO 645, Boston, MA, 02115, USA.
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
| | | | - Monique Santoso
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, 333 Longwood Ave, LO 645, Boston, MA, 02115, USA
| | - Carly E Milliren
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, 333 Longwood Ave, LO 645, Boston, MA, 02115, USA
| | | | | | - Elizabeth R Woods
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, 333 Longwood Ave, LO 645, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Sara F Forman
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, 333 Longwood Ave, LO 645, Boston, MA, 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
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15
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Peters JL, Grady ST, Laden F, Nelson E, Bozigar M, Hart JE, Manson JE, Huang T, Redline S, Kaufman JD, Forman JP, Rexrode KM, Levy JI. Long-term nighttime aircraft noise exposure and risk of hypertension in a prospective cohort of female nurses. Int J Hyg Environ Health 2024; 263:114457. [PMID: 39270405 DOI: 10.1016/j.ijheh.2024.114457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 09/06/2024] [Accepted: 09/06/2024] [Indexed: 09/15/2024]
Abstract
There is growing interest in cardiometabolic outcomes associated with nighttime noise, given that noise can disturb sleep and sleep disturbance can increase cardiometabolic risk such as hypertension. However, there is little empirical research evaluating the association between nighttime aircraft noise and hypertension risk. In this study, we expand on previous work to evaluate associations between nighttime aircraft noise exposure and self-reported hypertension incidence in the Nurses' Health Studies (NHS/NHSII), two US-wide cohorts of female nurses. Annual nighttime average aircraft sound levels (Lnight) surrounding 90 airports for 1995-2015 (in 5-year intervals) were modeled using the Aviation Environmental Design Tool and assigned to participants' geocoded addresses over time. Hypertension risk was estimated for each cohort using time-varying Cox proportional-hazards models for Lnight dichotomized at 45 dB (dB), adjusting for individual-level hypertension risk factors, area-level socioeconomic status, region, and air pollution. Random effects meta-analysis was used to combine cohort results. Among 63,229 NHS and 98,880 NHSII participants free of hypertension at study baseline (1994/1995), we observed 33,190 and 28,255 new hypertension cases by 2014/2013, respectively. Although ∼1% of participants were exposed to Lnight ≥45 dB, we observed an adjusted hazard ratio (HR) of 1.10 (95% CI: 0.96, 1.27) in NHS and adjusted HR of 1.12 (95% CI: 0.98, 1.28) in NHSII, comparing exposure to Lnight ≥45 versus <45 dB(A). In meta-analysis, we observed an adjusted HR of 1.11 (95% CI: 1.01, 1.23). These results were attenuated with adjustment for additional variables such as body mass index. Our findings support a modest positive association between nighttime aircraft noise and hypertension risk across NHS/NHSII, which may reinforce the concept that sleep disturbance contributes to noise-related disease burden.
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Affiliation(s)
- Junenette L Peters
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
| | - Stephanie T Grady
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Exposure, Epidemiology and Risk Program, Department of Environmental Health, 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
| | - Elizabeth Nelson
- College of Arts and Sciences, Boston University, Boston, MA, USA
| | - Matthew Bozigar
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA; College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Exposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Susan Redline
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Joel D Kaufman
- Departments of Environmental and Occupational Health Sciences, Epidemiology, and Medicine, University of Washington, Seattle, WA, USA
| | - John P Forman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jonathan I Levy
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
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16
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Zhang B, Hart JE, Laden F, Bozigar M, James P. Environmental mixtures and body mass index in two prospective US-based cohorts of female nurses. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:135794. [PMID: 39265401 DOI: 10.1016/j.jhazmat.2024.135794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 08/23/2024] [Accepted: 09/08/2024] [Indexed: 09/14/2024]
Abstract
We estimated the joint effect of particulate matter ≤ 2.5 µm in diameter (PM2.5), nitrogen dioxide (NO2), seasonal temperature, noise, greenness, light at night, and neighborhood socioeconomic status (NSES) on body mass index (BMI) in a mixture context among 194,966 participants from the Nurses' Health Study (NHS) and Nurses' Health Study II (NHSII) over 30 years. BMI was calculated from self-reported weight and height. Single- and multi-exposure generalized estimating equations models were used to estimate the difference in BMI per interquartile range (IQR) increase of environmental factors, and quantile g-computation methods were used to estimate joint associations. In both cohorts, we consistently observed positive associations of BMI with PM2.5 and NO2 concentrations as well as negative associations with light at night and NSES regardless modeling approach. A positive association with noise was only observed in NHS. Negative associations with greenness and winter temperature were only observed in NHSII. Overall, the changes in BMI per quintile increase in all eight exposures were -0.11 (-0.13, -0.08) in NHS and -0.39 (-0.41, -0.37) in NHSII, which were largely driven by air pollution and nighttime noise (18-45 %) in the positive direction and NSES (>70 %) in the negative direction. Future intervention on environmental factors, especially reducing PM2.5, NO2 and noise or improving the NSES, might be helpful to lower BMI.
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Affiliation(s)
- Boya Zhang
- Department of Environmental Health, 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.
| | - Jaime E Hart
- Department of Environmental Health, 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
| | - Francine Laden
- Department of Environmental Health, 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; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Matthew Bozigar
- School of Nutrition and Public Health, College of Health, Oregon State University, 160 SW 26th Street, Corvallis, OR 97331, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
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Soria-Contreras DC, Wang S, Liu J, Lawn RB, Mitsunami M, Purdue-Smithe AC, Zhang C, Oken E, Chavarro JE. Lifetime history of gestational diabetes and cognitive function in parous women in midlife. Diabetologia 2024:10.1007/s00125-024-06270-w. [PMID: 39240352 DOI: 10.1007/s00125-024-06270-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 07/26/2024] [Indexed: 09/07/2024]
Abstract
AIMS/HYPOTHESIS We aimed to determine whether a history of gestational diabetes mellitus (GDM) is associated with cognitive function in midlife. METHODS We conducted a secondary data analysis of the prospective Nurses' Health Study II. From 1989 to 2001, and then in 2009, participants reported their history of GDM. A subset participated in a cognition sub-study in 2014-2019 (wave 1) or 2018-2022 (wave 2). We included 15,906 parous participants (≥1 birth at ≥18 years) who completed a cognitive assessment and were free of CVD, cancer and diabetes before their first birth. The primary exposure was a history of GDM. Additionally, we studied exposure to GDM and subsequent type 2 diabetes mellitus (neither GDM nor type 2 diabetes, GDM only, type 2 diabetes only or GDM followed by type 2 diabetes) and conducted mediation analysis by type 2 diabetes. The outcomes were composite z scores measuring psychomotor speed/attention, learning/working memory and global cognition obtained with the Cogstate brief battery. Mean differences (β and 95% CI) in cognitive function by GDM were estimated using linear regression. RESULTS The 15,906 participants were a mean of 62.0 years (SD 4.9) at cognitive assessment, and 4.7% (n=749) had a history of GDM. In models adjusted for age at cognitive assessment, race and ethnicity, education, wave of enrolment in the cognition sub-study, socioeconomic status and pre-pregnancy characteristics, women with a history of GDM had lower performance in psychomotor speed/attention (β -0.08; 95% CI -0.14, -0.01) and global cognition (β -0.06; 95% CI -0.11, -0.01) than those without a history of GDM. The lower cognitive performance in women with GDM was only partially explained by the development of type 2 diabetes. CONCLUSIONS/INTERPRETATION Women with a history of GDM had poorer cognition than those without GDM. If replicated, our findings support future research on early risk modification strategies for women with a history of GDM as a potential avenue to decrease their risk of cognitive impairment.
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Affiliation(s)
| | - Siwen Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jiaxuan Liu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rebecca B Lawn
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Makiko Mitsunami
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alexandra C Purdue-Smithe
- Division of Women's Health, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Cuilin Zhang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Emily Oken
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Jorge E Chavarro
- 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
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18
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Sawicki CM, Ramesh G, Bui L, Nair NK, Hu FB, Rimm EB, Stampfer MJ, Willett WC, Bhupathiraju SN. Planetary health diet and cardiovascular disease: results from three large prospective cohort studies in the USA. Lancet Planet Health 2024; 8:e666-e674. [PMID: 39243782 DOI: 10.1016/s2542-5196(24)00170-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 07/15/2024] [Accepted: 07/22/2024] [Indexed: 09/09/2024]
Abstract
BACKGROUND In 2019, the EAT-Lancet Commission on healthy diets from sustainable food systems proposed a Planetary Health Diet that seeks to optimise both chronic disease prevention as well as global environmental health. In this study, we aimed to examine the association between a dietary index based on the Planetary Health Diet and risk of cardiovascular disease. METHODS We included women from the Nurses' Health Study (NHS I; 1986-2016), women from the Nurses' Health Study II (NHS II; 1991-2017), and men from the Health Professionals Follow-up Study (HPFS; 1986-2016) who were free of cardiovascular disease, cancer, and diabetes at baseline. Dietary data were collected every 4 years using a validated, semi-quantitative food frequency questionnaire. The Planetary Health Diet Index (PHDI) was based on 15 food groups: whole grains, vegetables, fruit, fish and shellfish, nuts and seeds, non-soy legumes, soy foods, and unsaturated oils were scored positively; starchy vegetables, dairy, red or processed meat, poultry, eggs, saturated fats and trans fat, and added sugar received negative scores. Scores for each food group were summed to get a total score of 0-140. Higher scores indicated greater adherence to the PHDI. We used Cox proportional hazards regression with time-varying covariates to evaluate the association between PHDI score, cumulatively averaged, and incident cardiovascular disease (defined as fatal and non-fatal myocardial infarction and stroke), adjusting for demographic, health, and lifestyle confounders in all participants with available data. Cohort-specific estimates were combined using inverse variance-weighted fixed effects meta-analyses. FINDINGS Of the 62 919 women included from the NHS I, 88 535 women included from the NHS II, and 42 164 men included from the HPFS, a total of 9831 cases of cardiovascular disease were confirmed over 4 541 980 person-years of follow-up. Mean PHDI scores ranged from 60·7 (SD 5·1) to 90·6 (5·3) in the lowest versus highest quintile in NHS I, 55·6 (4·9) to 86·3 (6·3) in NHS II, and 59·6 (5·9) to 94 (5·9) in HPFS. In the multivariable-adjusted meta-analysis, participants in the highest quintile of PHDI score had a lower risk of incident cardiovascular disease than did those in the lowest quintile (hazard ratio [HR] 0·83 [95% CI 0·78-0·89]; p-trend <0·0001). When we examined cardiovascular disease subtypes, the highest quintile of PHDI was also associated with a lower risk of coronary heart disease (HR 0·81 [95% CI 0·74-0·88]; p-trend <0·0001) and total stroke (HR 0·86 [0·78-0·95]; p-trend=0·0004) compared with the lowest quintile. INTERPRETATION We found that adherence to the Planetary Health Diet, designed to be a more environmentally sustainable dietary pattern, was associated with a lower risk of cardiovascular disease in three large cohorts of men and women in the USA. These observations support the Planetary Health Diet as a promising strategy to promote both human and planetary health. FUNDING National Institutes of Health.
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Affiliation(s)
- Caleigh M Sawicki
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Gautam Ramesh
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; School of Medicine, University of California, San Diego, La Jolla, CA, USA; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Linh Bui
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Research Advancement Consortium in Health, Hanoi, Viet Nam
| | - Nilendra K Nair
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Harvard Center for Climate, Health & Global Environment, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Eric B Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Meir J Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Walter C Willett
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Shilpa N Bhupathiraju
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA.
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19
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Mendoza K, Smith-Warner SA, Rossato SL, Khandpur N, Manson JE, Qi L, Rimm EB, Mukamal KJ, Willett WC, Wang M, Hu FB, Mattei J, Sun Q. Ultra-processed foods and cardiovascular disease: analysis of three large US prospective cohorts and a systematic review and meta-analysis of prospective cohort studies. LANCET REGIONAL HEALTH. AMERICAS 2024; 37:100859. [PMID: 39286398 PMCID: PMC11403639 DOI: 10.1016/j.lana.2024.100859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 07/24/2024] [Accepted: 07/29/2024] [Indexed: 09/19/2024]
Abstract
Background Prospective associations between total and groups of ultra-processed foods (UPF) and cardiovascular disease (CVD) remained to be characterised. Our aim was to assess the association of total and group-specific UPF intakes with CVD, coronary heart disease (CHD), and stroke in three large prospective cohorts of US adults. Additionally, we conducted a systematic review and meta-analyses on the existing evidence on the associations of total UPF intake with these outcomes. Methods UPF intake was assessed through food frequency questionnaires in the Nurses' Health Study (NHS; n = 75,735), Nurses' Health Study II (NHSII; n = 90,813), and Health Professionals Follow-Up Study (HPFS; n = 40,409). Cox regression estimated cohort-specific associations of total and group-specific UPF intake with risk of CVD (cases = 16,800), CHD (cases = 10,401), and stroke (cases = 6758), subsequently pooled through fixed-effect models. Random-effects meta-analyses pooled existing prospective findings on the UPF-CVD association identified on Medline and Embase up to April 5, 2024, without language restrictions. Risk of bias was assessed with the Newcastle-Ottawa Scale, funnel plots, and Egger's tests, and meta-evidence was evaluated using NutriGrade. Findings The baseline mean (SD) age was 50.8 years (7.2) for the NHS, 36.7 years (4.6) for the NHSII, and 53.4 years (9.6) for the HPFS. The proportion of participants of White race was 97.7% in the NHS, 96.4% in the NHSII, and 94.9% in the HPFS. Among the three cohorts, multivariable-adjusted hazard ratios [HRs (95% CIs)] for CVD, CHD, and stroke for the highest (vs. lowest) total UPF intake quintile were 1.11 (1.06-1.16), 1.16 (1.09-1.24), and 1.04 (0.96-1.12), respectively. UPF groups demonstrated divergent associations. Sugar-/artificially-sweetened drinks and processed meats were associated with higher CVD risk, whereas inverse associations were observed for bread/cold cereals, yoghurt/dairy desserts, and savoury snacks. Meta-analysing 22 prospective studies showed that total UPF intake at the highest category (vs. lowest) was associated with 17% (11%-24%), 23% (12%-34%), and 9% (3%-15%) higher CVD, CHD, and stroke risk. Meta-evidence quality was high for CHD, moderate for CVD, and low for stroke. Interpretation Total UPF intake was adversely associated with CVD and CHD risk in US adults, corroborated by prospective studies from multiple countries, also suggesting a small excess stroke risk. Nutritional advice for cardiovascular health should consider differential consequences of group-specific UPF. Replication is needed in racially/ethnically-diverse populations. Funding National Institutes of Health (NIH) grants supported the NHS, NHSII, and HPFS.
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Affiliation(s)
- Kenny Mendoza
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 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
| | - Sinara Laurini Rossato
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Federal University of Uberlândia, Uberlândia, State of Minas Gerais, Brazil
| | | | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Lu Qi
- Tulane University Obesity Research Center, Tulane University, New Orleans, LA, USA
| | - Eric B Rimm
- 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, Boston, MA, 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
| | - Molin Wang
- 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, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- 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, Boston, MA, USA
| | - Josiemer Mattei
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qi Sun
- 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, Boston, MA, USA
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20
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Uche-Anya E, Ha J, Khandpur N, Rossato SL, Wang Y, Nguyen LH, Song M, Giovannucci E, Chan AT. Ultraprocessed food consumption and risk of gallstone disease: analysis of 3 prospective cohorts. Am J Clin Nutr 2024; 120:499-506. [PMID: 38971469 PMCID: PMC11393404 DOI: 10.1016/j.ajcnut.2024.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 06/04/2024] [Accepted: 07/01/2024] [Indexed: 07/08/2024] Open
Abstract
BACKGROUND Majority of dietary intake in United States adults comes from ultraprocessed foods (UPFs), which have been linked to several adverse health outcomes. Gallstone disease is highly prevalent and constitutes a significant burden to the United States health system but remains understudied. OBJECTIVES This study aimed to investigate the association between UPF consumption and incident gallstone disease risk. METHODS In this analysis, 44,149 males in the Health Professionals' Follow-up Study (HPFS: 1986-2022), 71,145 females in the Nurses' Health Study (NHS: 1986-2021), and 90,932 females in the NHS II (1991-2021) were prospectively followed. Dietary intake was quadrennially assessed with semiquantitative food frequency questionnaires and used to identify UPFs. The primary outcome was defined as cholecystectomy. Cox proportional hazards model was used to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). RESULTS Baseline median age was 54 y in HPFS, 53 y in NHS, and 36 y in NHS II. We identified 32,374 incident gallstone disease cases over 5,077,059 person-years. Participants in the highest UPF quintile had a higher incidence of gallstone disease than those in the lowest quintile (aHR: 1.29; 95% CI: 1.24, 1.36; P < 0.001). Incremental risk of incident gallstone disease was 2.8% per daily serving (95% CI: 2.4%, 3.2%; P < 0.001). This risk was driven by sugar-sweetened beverages and artificially sweetened beverages on UPF subgroup analyses. The proportion of risk mediated by obesity was 12.8% (95% CI: 7.7%, 20.5%; P < 0.001) in HPFS, 14.3% (95% CI: 10.4%, 19.4%; P < 0.001) in NHS, and 39.4% (95% CI: 31.2%, 48.1%; P < 0.001) in NHS II. The partial population attributable risk was estimated at 15.9% (95% CI: 13.4%, 18.3%). CONCLUSIONS UPF consumption is associated with a higher risk of gallstone disease, particularly consumption of sugar-sweetened beverages and artificially sweetened beverages. A substantial proportion of this risk is potentially mediated by obesity in younger females.
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Affiliation(s)
- Eugenia Uche-Anya
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
| | - Jane Ha
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Neha Khandpur
- Division of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Sinara Laurini Rossato
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Laboratory of Research and Extension in Epidemiology and Health (Lapex-Epi), Institute of Geography, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil
| | - Yiqing Wang
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Long H Nguyen
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Edward Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, United States
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, United States; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, United States
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21
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Uche-Anya E, Ha J, Balasubramanian R, Rexrode KM, Chan AT. Metabolomic profiles of incident gallstone disease. BMJ Open Gastroenterol 2024; 11:e001417. [PMID: 39209332 PMCID: PMC11367368 DOI: 10.1136/bmjgast-2024-001417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/26/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND AND AIMS Gallstone disease affects ≥40 million people in the USA and accounts for health costs of ≥$4 billion a year. Risk factors such as obesity and metabolic syndrome are well established. However, data are limited on relevant metabolomic alterations that could offer mechanistic and predictive insights into gallstone disease. This study prospectively identifies and externally validates circulating prediagnostic metabolites associated with incident gallstone disease. METHODS Female participants in Nurses' Health Study (NHS) and Nurses' Health Study II (NHS II) who were free of known gallstones (N=9960) were prospectively followed up after baseline metabolomic profiling with liquid chromatography-tandem mass spectrometry. Multivariable logistic regression and enrichment analysis were used to identify metabolites and metabolite groups associated with incident gallstone disease at PFDR<0.05. Findings were validated in 1866 female participants in the Women's Health Initiative and a comparative analysis was performed with 2178 male participants in the Health Professionals Follow-up Study. RESULTS After multivariate adjustment for lifestyle and putative risk factors, we identified and externally validated 17 metabolites associated with incident gallstone disease in women-nine triacylglycerols (TAGs) and diacylglycerols (DAGs) were positively associated, while eight plasmalogens and cholesterol ester (CE) were negatively associated. Enrichment analysis in male and female cohorts revealed positive class associations with DAGs, TAGs (≤56 carbon atoms and ≤3 double bonds) and de novo TAG biosynthesis pathways, as well as inverse associations with CEs. CONCLUSIONS This study highlights several metabolites (TAGs, DAGs, plasmalogens and CE) that could be implicated in the aetiopathogenesis of gallstone disease and serve as clinically relevant markers.
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Affiliation(s)
- Eugenia Uche-Anya
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jane Ha
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Kathryn M Rexrode
- Division of Women's Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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22
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Vyas CM, Wang S, Menor AM, Kubzansky LD, Slopen N, Rich-Edwards J, Chavarro JE, Kang JH, Roberts AL. Association between childhood abuse and risk of post-COVID-19 conditions: Results from three large prospective cohort studies. Brain Behav Immun 2024; 123:143-150. [PMID: 39191351 DOI: 10.1016/j.bbi.2024.08.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 08/20/2024] [Accepted: 08/24/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND Significant early life adversities, such as childhood sexual and physical/emotional abuse, are associated with risk of poor health outcomes but are understudied risk factors for post-COVID-19 conditions. In this prospective study, we examined the associations between combined exposure to sexual and physical/emotional abuse during childhood with risk of post-COVID-19 conditions in adulthood. Additionally, we explored the extent to which lifestyle, health-related and psychological factors explain this association. METHODS We used data from three large, ongoing cohorts: Nurses' Health Study (NHS)-II, NHS3, and the Growing Up Today Study. Between April 2020 and November 2021, participants responded to periodic COVID-19 surveys. Participants were included if they responded to a questionnaire about childhood abuse, subsequently tested positive for SARS-CoV-2 infection and responded to questions about post-COVID-19 conditions. Childhood sexual abuse was measured before the COVID-19 pandemic with the Sexual Maltreatment Scale of the Parent-Child Conflict Tactics Scale, and physical/emotional abuse was measured with the Physical and Emotional Abuse Subscale of the Childhood Trauma Questionnaire. Post-COVID-19 conditions, defined as COVID-19-related symptoms lasting 4 weeks or longer (e.g., fatigue, dyspnea), were self-reported in the final COVID-19 questionnaire in November 2021. Sexual abuse and physical/emotional abuse were examined separately and jointly in relation to post-COVID-19 conditions. Data on key lifestyle (e.g., cigarette smoking), health-related (e.g., asthma, diabetes), and psychological factors (e.g., depression and anxiety) were obtained. RESULTS Of 2851 participants, the mean age (range) was 55.8 (22.0-75.0) years; 2789 (97.8 %) were females, and 2750 (96.5 %) were whites. We observed a dose-dependent relationship between severity of childhood abuse and post-COVID conditions (p-trend:<0.0001); participants with severe versus no childhood abuse had a 42 % higher subsequent risk of post-COVID conditions [relative risk (95 % confidence interval): 1.42 (1.25 to 1.61)]. Key lifestyle, health-related, and psychological factors mediated 25.5 % of this association. Both sexual and physical/emotional abuse, were independently associated with post-COVID conditions. CONCLUSIONS In this prospective study of 2851 participants, childhood abuse was significantly associated with increased risk of post-COVID conditions. Biological pathways connecting childhood abuse with subsequent risk of post-COVID conditions should be investigated.
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Affiliation(s)
- Chirag M Vyas
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
| | - Siwen Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Anthony M Menor
- Department of Environment Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Natalie Slopen
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Janet Rich-Edwards
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Jorge E Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Jae H Kang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Andrea L Roberts
- Department of Environment Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
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23
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de Vries VA, Hanyuda A, Vergroesen JE, Do R, Friedman DS, Kraft P, Turman C, Luo YL, Tran JH, Liefers B, Wong SH, Lee RH, Zebardast N, Klaver CCW, Segrè AV, Pasquale LR, Wiggs JL, Kang JH, Ramdas WD. The Clinical Usefulness of a Glaucoma Polygenic Risk Score in 4 Population-Based European Ancestry Cohorts. Ophthalmology 2024:S0161-6420(24)00464-0. [PMID: 39128550 DOI: 10.1016/j.ophtha.2024.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 07/19/2024] [Accepted: 08/05/2024] [Indexed: 08/13/2024] Open
Abstract
PURPOSE We used a polygenic risk score (PRS) to identify high-risk groups for primary open-angle glaucoma (POAG) within population-based cohorts. DESIGN Secondary analysis of 4 prospective population-based studies. PARTICIPANTS We included four European-ancestry cohorts: the United States-based Nurses' Health Study, Nurses' Health Study 2, and the Health Professionals Follow-up Study and the Rotterdam Study (RS) in The Netherlands. The United States cohorts included female nurses and male health professionals ≤ 55 years of age. The RS included residents ≤ 45 years of age living in Rotterdam, The Netherlands. METHODS Polygenic risk score weights were estimated by applying the lassosum method on imputed genotype and phenotype data from the UK Biobank. This resulted in 144 020 variants, single nucleotide polymorphism and insertions or deletions, with nonzero βs that we used to calculate a PRS in the target populations. Using multivariable Cox proportional hazard models, we estimated the relationship between the standardized PRS and relative risk for POAG. Additionally, POAG prediction was tested by calculating these models' concordance (Harrell's C statistic). Finally, we assessed the association between PRS tertiles and glaucoma-related traits. MAIN OUTCOME MEASURES The relative risk for POAG and Harrell's C statistic. RESULTS Among 1046 patients and 38 809 control participants, the relative risk (95% confidence interval) for POAG for participants in the highest PRS quintile was 3.99 (3.08-5.18) times higher in the United States cohorts and 4.89 (2.93-8.17) times higher in the RS, compared with participants with median genetic risk (third quintile). Combining age, sex, intraocular pressure of more than 25 mmHg, and family history resulted in a meta-analyzed concordance of 0.75 (95% CI, 0.73-0.75). Adding the PRS to this model improved the concordance to 0.82 (95% CI, 0.80-0.84). In a meta-analysis of all cohorts, patients in the highest tertile showed a larger cup-to-disc ratio at diagnosis, by 0.10 (95% CI, 0.06 0.14), and a 2.07-fold increased risk of requiring glaucoma surgery (95% CI, 1.19-3.60). CONCLUSIONS Incorporating a PRS into a POAG predictive model improves identification concordance from 0.75 up to 0.82, supporting its potential for guiding more cost-effective screening strategies. FINANCIAL DISCLOSURE(S) Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Victor A de Vries
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Akiko Hanyuda
- Department of Ophthalmology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Joëlle E Vergroesen
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ron Do
- Department of Genetics and Genomics Science, Icahn School of Medicine at Mount Sinai, New York, New York
| | - David S Friedman
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Peter Kraft
- National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Constance Turman
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Yuyang Leo Luo
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Jessica H Tran
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Bart Liefers
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Sze H Wong
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Rachel H Lee
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Nazlee Zebardast
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Caroline C W Klaver
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands; Institute of Molecular and Clinical Ophthalmology, University of Basel, Basel, Switzerland
| | - Ayellet V Segrè
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Louis R Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Jae H Kang
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Wishal D Ramdas
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands.
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24
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Yim G, Roberts A, Lyall K, Ascherio A, Weisskopf MG. Multigenerational association between smoking and autism spectrum disorder: findings from a nationwide prospective cohort study. Am J Epidemiol 2024; 193:1115-1126. [PMID: 38583942 PMCID: PMC11299032 DOI: 10.1093/aje/kwae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 02/05/2024] [Accepted: 04/04/2024] [Indexed: 04/09/2024] Open
Abstract
Animal studies have shown that exposure to cigarette smoke during pregnancy can induce neurobehavioral anomalies in multiple subsequent generations. However, little work has examined such effects in humans. We examined the risk of grandchild autism spectrum disorder (ASD) in association with grandmother's smoking during pregnancy, using data from 53 562 mothers and grandmothers and 120 267 grandchildren in Nurses' Health Study II. In 1999, Nurses' Health Study II participants with children reported on their mothers' smoking. Grandchildren's ASD diagnoses were reported by the mothers in 2005 and 2009. Among grandmothers, 13 383 (25.0%) smoked during pregnancy, and 509 (0.4%) grandchildren were diagnosed with ASD. The adjusted odds ratio for ASD for grandmother smoking during pregnancy was 1.52 (95% CI, 1.06-2.20). Results were similar with direct grandmother reporting in 2001 of her smoking during pregnancy from the Nurses' Mothers Cohort Study subgroup (n = 22 167 grandmothers, n = 49 917 grandchildren) and were stronger among grandmothers who smoked ≥15 cigarettes per day during pregnancy (adjusted odds ratio = 1.93 [95% CI, 1.10-3.40]; n = 1895 grandmothers, n = 4212 grandchildren). Results were similar when we adjusted for mother's smoking during pregnancy. There was no association with grandfather's smoking as reported by the grandmother. Our results suggest a potential persistent impact of gestational exposure to environmental insults across 3 generations.
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Affiliation(s)
- Gyeyoon Yim
- Environmental and Occupational Medicine and Epidemiology Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
| | - Andrea Roberts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
| | - Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA 19104, United States
| | - Alberto Ascherio
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, United States
| | - Marc G Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
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25
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Struijk EA, Fung TT, Bischoff‐Ferrari HA, Willett WC, Lopez‐Garcia E. Total magnesium intake and risk of frailty in older women. J Cachexia Sarcopenia Muscle 2024; 15:1275-1282. [PMID: 38845194 PMCID: PMC11294045 DOI: 10.1002/jcsm.13450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 01/08/2024] [Accepted: 02/08/2024] [Indexed: 08/03/2024] Open
Abstract
BACKGROUND An adequate magnesium intake might lower the risk of frailty through its role in muscle function. METHODS We analysed data from 81 524 women aged ≥60 years participating in the Nurses' Health Study. Total magnesium intake was obtained from repeated food frequency questionnaires administered between 1984 and 2010 and self-reported information on supplementation. Frailty was defined as having at least three of the following five FRAIL scale criteria: fatigue, low strength, reduced aerobic capacity, having ≥5 chronic illnesses and weight loss ≥ 5%. The occurrence of frailty was assessed every 4 years from 1992 to 2018. Cox proportional hazards models adjusted for lifestyle factors, medication use and dietary factors were used to assess the association between magnesium intake and frailty. RESULTS During a median follow-up of 16 years, we identified 15 477 incident cases of frailty. Women with a higher intake of total energy-adjusted magnesium had a decreased risk of frailty after adjustment for lifestyle factors, medication use and dietary factors. The relative risk (95% confidence interval) for Quintile 5 (Q5) versus Quintile 1 (Q1) was 0.88 (0.82, 0.94) (P-trend < 0.001). When only energy-adjusted magnesium from the diet was considered, the inverse association was stronger (Q5 vs. Q1: 0.68 [0.56, 0.82]; P-trend < 0.001). Those reaching the recommended daily allowance (RDA) of magnesium through diet had a 14% (9%, 19%) lower risk of frailty compared with those not meeting the RDA. CONCLUSIONS Increased intake of foods rich in magnesium was associated with a decreased risk of frailty.
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Affiliation(s)
- Ellen A. Struijk
- Department of Preventive Medicine and Public Health, School of MedicineUniversidad Autónoma de Madrid‐IdiPazMadridSpain
- CIBERESP (CIBER of Epidemiology and Public Health)MadridSpain
| | - Teresa T. Fung
- Department of NutritionSimmons UniversityBostonMAUSA
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Heike A. Bischoff‐Ferrari
- Department of Geriatrics and Aging ResearchUniversity Hospital Zürich and University of ZürichZürichSwitzerland
- Centre on Aging and MobilityUniversity Hospital Zürich and Waid City HospitalZürichSwitzerland
| | - Walter C. Willett
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMAUSA
- Channing Division of Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Esther Lopez‐Garcia
- Department of Preventive Medicine and Public Health, School of MedicineUniversidad Autónoma de Madrid‐IdiPazMadridSpain
- CIBERESP (CIBER of Epidemiology and Public Health)MadridSpain
- IMDEA/Food Institute, CEI UAM + CSICMadridSpain
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26
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Zhang X, Zhao L, Ngo LH, Dillon ST, Gu X, Lai M, Simon TG, Chan AT, Giovannucci EL, Libermann TA, Zhang X. Prediagnostic plasma proteomics profile for hepatocellular carcinoma. J Natl Cancer Inst 2024; 116:1343-1355. [PMID: 38688524 PMCID: PMC11308170 DOI: 10.1093/jnci/djae079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 01/29/2024] [Accepted: 03/18/2024] [Indexed: 05/02/2024] Open
Abstract
OBJECTIVE Proteomics may discover pathophysiological changes related to hepatocellular carcinoma, an aggressive and lethal type of cancer with low sensitivity for early stage diagnosis. DESIGN We measured 1305 prediagnostic (median = 12.7 years) SomaScan proteins from 54 pairs of healthy individuals who subsequently developed hepatocellular carcinoma and matched non-hepatocellular carcinoma control individuals from the Nurses' Health Study (NHS) and the Health Professionals Follow-up Study (HPFS). Candidate proteins were validated in the independent, prospective UK Biobank Pharma Proteomics Project (UKB-PPP). RESULTS In NHS and HPFS, we identified 56 elevated proteins in hepatocellular carcinoma with an absolute fold change of more than 1.2 and a Wald test P value less than .05 in conditional logistic regression analysis. Ingenuity pathway analysis identified enrichment of pathways associated with cell viability, adhesion, proteolysis, apoptosis, and inflammatory response. Four proteins-chitinase-3-like protein 1, growth differentiation factor 15, interleukin-1 receptor antagonist protein, and E-selectin-showed strong positive associations with hepatocellular carcinoma and were thus validated by enzyme-linked immunosorbent assay (odds ratio = 2.48-14.7, all P < .05) in the NHS and HPFS and by Olink platform (hazard ratio = 1.90-3.93, all P < .05) in the UKB-PPP. Adding these 4 proteins to a logistic regression model of traditional hepatocellular carcinoma risk factors increased the area under the curve from 0.67 to 0.87 in the NHS and HPFS. Consistently, model area under the curve was 0.88 for hepatocellular carcinoma risk prediction in the UKB-PPP. CONCLUSION However, the limited number of hepatocellular carcinoma patients in the cohorts necessitates caution in interpreting our findings, emphasizing the need for further validation in high-risk populations.
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Affiliation(s)
- Xinyuan Zhang
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Longgang Zhao
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Long H Ngo
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Simon T Dillon
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Genomics, Proteomics, Bioinformatics and Systems Biology Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Xuesong Gu
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Genomics, Proteomics, Bioinformatics and Systems Biology Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Michelle Lai
- Division of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Tracey G Simon
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edward L Giovannucci
- 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
| | - Towia A Libermann
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Genomics, Proteomics, Bioinformatics and Systems Biology Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Yale University School of Nursing, Orange, CT, USA
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27
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Mei Z, Wang F, Bhosle A, Dong D, Mehta R, Ghazi A, Zhang Y, Liu Y, Rinott E, Ma S, Rimm EB, Daviglus M, Willett WC, Knight R, Hu FB, Qi Q, Chan AT, Burk RD, Stampfer MJ, Shai I, Kaplan RC, Huttenhower C, Wang DD. Strain-specific gut microbial signatures in type 2 diabetes identified in a cross-cohort analysis of 8,117 metagenomes. Nat Med 2024; 30:2265-2276. [PMID: 38918632 DOI: 10.1038/s41591-024-03067-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 05/14/2024] [Indexed: 06/27/2024]
Abstract
The association of gut microbial features with type 2 diabetes (T2D) has been inconsistent due in part to the complexity of this disease and variation in study design. Even in cases in which individual microbial species have been associated with T2D, mechanisms have been unable to be attributed to these associations based on specific microbial strains. We conducted a comprehensive study of the T2D microbiome, analyzing 8,117 shotgun metagenomes from 10 cohorts of individuals with T2D, prediabetes, and normoglycemic status in the United States, Europe, Israel and China. Dysbiosis in 19 phylogenetically diverse species was associated with T2D (false discovery rate < 0.10), for example, enriched Clostridium bolteae and depleted Butyrivibrio crossotus. These microorganisms also contributed to community-level functional changes potentially underlying T2D pathogenesis, for example, perturbations in glucose metabolism. Our study identifies within-species phylogenetic diversity for strains of 27 species that explain inter-individual differences in T2D risk, such as Eubacterium rectale. In some cases, these were explained by strain-specific gene carriage, including loci involved in various mechanisms of horizontal gene transfer and novel biological processes underlying metabolic risk, for example, quorum sensing. In summary, our study provides robust cross-cohort microbial signatures in a strain-resolved manner and offers new mechanistic insights into T2D.
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Affiliation(s)
- Zhendong Mei
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Fenglei Wang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Amrisha Bhosle
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Danyue Dong
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Raaj Mehta
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Andrew Ghazi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yancong Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yuxi Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ehud Rinott
- Department of Medicine, Hebrew University and Hadassah Medical Center, Jerusalem, Israel
| | - Siyuan Ma
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eric B Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- 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
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, Chicago, IL, USA
| | - Walter C Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- 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
| | - Rob Knight
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- 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
| | - Qibin Qi
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Andrew T Chan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Obstetrics, Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Meir J Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- 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
| | - Iris Shai
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Faculty of Health Sciences, The Health and Nutrition Innovative International Research Center, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Curtis Huttenhower
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Dong D Wang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Hart JE, Hu CR, Yanosky JD, Holland I, Iyer HS, Borchert W, Laden F, Albert CM. Short-term exposures to temperature and risk of sudden cardiac death in women: A case-crossover analysis in the Nurses' Health Study. Environ Epidemiol 2024; 8:e322. [PMID: 38983881 PMCID: PMC11233109 DOI: 10.1097/ee9.0000000000000322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 06/11/2024] [Indexed: 07/11/2024] Open
Abstract
Background Sudden cardiac death (SCD) is a major source of mortality and is the first manifestation of heart disease for most cases. Thus, there is a definite need to identify risk factors for SCD that can be modified on the population level. Short-term exposures to temperature have been implicated as a potential risk factor. Our objective was to determine if short-term temperature exposures were associated with increased risk of SCD in a US-based time-stratified case-crossover study. Methods A total of 465 cases of SCD were identified among participants of the prospective Nurses' Health Study (NHS). Control days were selected from all other matching days of the week within the same month as the case day. Average ambient temperature on the current day (Lag0) and preceding 27 days (Lags1-27) was determined at the residence level using 800-m resolution estimates. Conditional logistic distributed lag nonlinear models (DLNMs) were used to assess the relative risk (RR) of the full range of temperature exposures over the lag period. Results Warmer exposures in the days before event and colder temperatures 21-28 days prior were associated with increased risks of SCD. These results were driven by associations in regions other than the Northeast and among married women. Conclusions Both warm and cold ambient temperatures are suggestively associated with risks of SCD among middle-aged and older women living across the United States.
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Affiliation(s)
- Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Cindy R. Hu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jeff D. Yanosky
- Department of Public Health Sciences, College of Medicine, Penn State University, Hershey, Pennsylvania
| | - Isabel Holland
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Hari S. Iyer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
- Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - William Borchert
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Christine M. Albert
- Divisions of Preventative Medicine and Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
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Yu X, Pan M, Ye J, Hathaway CA, Tworoger SS, Lea J, Li B. Quantifiable TCR repertoire changes in prediagnostic blood specimens among patients with high-grade ovarian cancer. Cell Rep Med 2024; 5:101612. [PMID: 38878776 PMCID: PMC11293308 DOI: 10.1016/j.xcrm.2024.101612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 04/16/2024] [Accepted: 05/20/2024] [Indexed: 06/25/2024]
Abstract
High-grade ovarian cancer (HGOC) is a major cause of death in women. Early detection of HGOC usually leads to a cure, yet it remains a clinical challenge with over 90% HGOCs diagnosed at advanced stages. This is mainly because conventional biomarkers are not sensitive enough to detect the microscopic yet metastatic early lesions. In this study, we sequence the blood T cell receptor (TCR) repertoires of 466 patients with ovarian cancer and controls and systematically investigate the immune repertoire signatures in HGOCs. We observe quantifiable changes of selected TCRs in HGOCs that are reproducible in multiple independent cohorts. Importantly, these changes are stronger during stage I. Using pre-diagnostic patient blood samples from the Nurses' Health Study, we confirm that HGOC signals can be detected in the blood TCR repertoire up to 4 years preceding conventional diagnosis. Our findings may provide the basis for future immune-based HGOC early detection criteria.
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Affiliation(s)
- Xuexin Yu
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mingyao Pan
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jianfeng Ye
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | | | - Shelley S Tworoger
- Knight Cancer Institute and Division of Oncological Sciences, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jayanthi Lea
- Department of Gynecology, UT Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Bo Li
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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Bui LP, Pham TT, Wang F, Chai B, Sun Q, Hu FB, Lee KH, Guasch-Ferre M, Willett WC. Planetary Health Diet Index and risk of total and cause-specific mortality in three prospective cohorts. Am J Clin Nutr 2024; 120:80-91. [PMID: 38960579 PMCID: PMC11251201 DOI: 10.1016/j.ajcnut.2024.03.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 03/16/2024] [Accepted: 03/22/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND In 2019, the EAT-Lancet Commission proposed a healthy dietary pattern that, along with reductions in food waste and improved agricultural practices, could feed the increasing global population sustainably. We developed a Planetary Health Diet Index (PHDI) to quantify adherence to the EAT-Lancet reference diet. OBJECTIVES We aimed to assess associations between PHDI and total and cause-specific mortality in 3 prospective cohorts of males and females in the United States. METHODS We followed 66,692 females from the Nurses' Health Study (1986-2019), 92,438 females from the Nurses' Health Study II (1989-2019), and 47,274 males from the Health Professionals Follow-up Study (1986-2018) who were free of cancer, diabetes, and major cardiovascular diseases at baseline. The PHDI was calculated every 4 y using a semiquantitative food frequency questionnaire. Hazard ratios (HRs) were calculated using multivariable proportional-hazards models. RESULTS During follow-up, we documented 31,330 deaths among females and 23,206 among males. When comparing the highest with the lowest quintile of PHDI, the pooled multivariable-adjusted HRs were 0.77 [95% confidence interval (CI): 0.75, 0.80] for all-cause mortality (P-trend < 0.0001). The PHDI was associated with lower risk of deaths from cardiovascular diseases (HR: 0.86; 95% CI: 0.81, 0.91), cancer (HR: 0.90; 95% CI: 0.85, 0.95), respiratory diseases (HR: 0.53; 95% CI: 0.48, 0.59), and neurodegenerative diseases (HR: 0.72; 95% CI: 0.67, 0.78). In females, but not males, the PHDI was also significantly associated with a lower risk of deaths from infectious diseases (HR: 0.62; 95% CI: 0.51, 0.76). PHDI scores were also associated inversely with greenhouse gas emissions and other environmental impacts. CONCLUSIONS In 3 large United States-based prospective cohorts of males and females with up to 34 y of follow-up, a higher PHDI was associated with lower risk of total and cause-specific mortality and environment impacts.
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Affiliation(s)
- Linh P Bui
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States; Research Advancement Consortium in Health, Hanoi, Vietnam
| | - Tung T Pham
- Research Advancement Consortium in Health, Hanoi, Vietnam; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States; College of Health Sciences, VinUniversity, Hanoi, Vietnam; Department of Physiology, Hanoi Medical University, Hanoi, Vietnam
| | - Fenglei Wang
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States
| | - Boyang Chai
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Qi Sun
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Kyu Ha Lee
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States; Department of Biostatistics, Harvard University TH Chan School of Public Health, Boston, MA, United States
| | - Marta Guasch-Ferre
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Walter C Willett
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States.
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Boon D, Goodman JE, Colonna KJ, Espira LM, Prueitt RL. A systematic review of the epidemiology evidence on talc and cancer. Crit Rev Toxicol 2024; 54:394-417. [PMID: 38868996 DOI: 10.1080/10408444.2024.2351081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 04/29/2024] [Indexed: 06/14/2024]
Abstract
Over the past several decades, there have been many epidemiology studies on talc and cancer published in the scientific literature, and several reviews and meta-analyses of talc and respiratory, female reproductive, and stomach cancers, specifically. To help provide a resource for the evaluation of talc as a potential human carcinogen, we applied a consistent set of examination methods and criteria for all epidemiology studies that examined the association between talc exposure (by various routes) and cancers (of various types). We identified 30 cohort, 35 case-control, and 12 pooled studies that evaluated occupational, medicinal, and personal-care product talc exposure and cancers of the respiratory system, the female reproductive tract, the gastrointestinal tract, the urinary system, the lymphohematopoietic system, the prostate, male genital organs, and the central nervous system, as well as skin, eye, bone, connective tissue, peritoneal, and breast cancers. We tabulated study characteristics, quality, and results in a systematic manner, and evaluated all cancer types for which studies of at least three unique populations were available in a narrative review. We focused on study quality aspects most likely to impact the interpretation of results. We found that only one study, of medicinal talc use, evaluated direct exposure measurements for any individuals, though some used semi-quantitative exposure metrics, and few studies adequately assessed potential confounders. The only consistent associations were with ovarian cancer in case-control studies and these associations were likely impacted by recall and potentially other biases. This systematic review indicates that epidemiology studies do not support a causal association between occupational, medicinal, or personal talc exposure and any cancer in humans.
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Hurst RD, Stewart CL. Hazards of surgical smoke from electrocautery: A critical review of the data. Am J Surg 2024; 233:29-36. [PMID: 38365552 DOI: 10.1016/j.amjsurg.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 01/23/2024] [Accepted: 02/08/2024] [Indexed: 02/18/2024]
Abstract
INTRODUCTION Concerns have been voiced regarding the possibility of health risks to the operating room personnel from exposure to surgical smoke generated from electrocautery. METHODS Ovid Medline was queried using search terms "surgical smoke", "electrosurgery," "smoke evacuator". The NIOSH Health Hazard Evaluations Database was searched using terms, "hospital", "operating room", "Ames", "mutagen", and "salmonella". RESULTS Levels of pollutants in the breathable airspace within the operating room have been repeatedly shown to be very low. Absolute counts of particulate matter in the operating room are low when compared to other environments. The possibility for virus transmission with electrocautery in the operating room is unknown. CONCLUSIONS The risks related to the exposure to electrocautery surgical smoke have been overstated. Rigid mandates requiring smoke evacuators in all situations are not justified at this time.
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Affiliation(s)
- Roger D Hurst
- University of Chicago Pritzker School of Medicine, Chicago, IL, USA.
| | - Camille L Stewart
- University of Colorado School of Medicine, Department of Surgery, Aurora, CO, USA
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Soria-Contreras DC, Liu J, Lawn RB, Wang S, Purdue-Smithe A, Grodstein F, Oken E, Chavarro JE. Lifetime History of Low Birth Weight Delivery and Cognitive Function in Middle-Aged Parous Women. Neurology 2024; 103:e209504. [PMID: 38865681 DOI: 10.1212/wnl.0000000000209504] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Pregnancy outcomes such as low birth weight (LBW) delivery may reflect vascular or metabolic dysfunction in mothers and presage future cognitive impairment and dementia. However, the evidence is currently limited. Our objective was to examine the extent to which a lifetime history of LBW delivery was associated with cognitive function in parous middle-aged women. METHODS We studied participants from the Nurses' Health Study II, an ongoing longitudinal cohort of female nurses enrolled in 1989. In 2009, participants completed a reproductive history questionnaire. Participants who completed at least one of 2 post-traumatic stress disorder questionnaires were invited to participate in a cognition substudy with 2 waves of baseline data collection (2014 or 2018). We restricted the analysis to participants with one valid cognitive assessment who reported ≥1 birth at 18 years and older. We defined LBW delivery history as having delivered offspring with a birth weight <2,500 g (<5.5 lbs) in any pregnancy. The outcome was a single assessment of cognitive function evaluated with the self-administered Cogstate Brief Battery. The battery comprises 4 tasks, which we used to create 2 composite z-scores measuring psychomotor speed/attention and learning/working memory (higher z-scores = better cognitive function). We used multivariable linear regression models. RESULTS The analysis included 15,323 participants with a mean age of 62 (standard deviation: 4.9 years) at cognitive assessment. Among them, 1,224 (8%) had a history of LBW delivery. After adjusting for age at cognitive assessment, race, and ethnicity, participants' education, wave of baseline cognitive assessment, socioeconomic status, and prepregnancy characteristics, women with a history of LBW delivery had lower z-scores in the psychomotor speed/attention (β, -0.06; 95% CI -0.12 to -0.01) and learning/working memory (β, -0.05; 95% CI -0.09 to -0.01) composites than parous women without a history of LBW delivery. We observed a gradient of lower z-scores with an increasing number of LBW deliveries. DISCUSSION History of LBW delivery may be marker of future poorer cognition. If confirmed, our findings support future investigations into the value of early preventive efforts targeting women with a history of LBW delivery to reduce the burden of cognitive impairment in women.
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Affiliation(s)
- Diana C Soria-Contreras
- From the Departments of Nutrition (D.C.S.-C., S.W., E.O., J.E.C.) and Epidemiology (J.L., R.B.L., J.E.C.), Harvard T.H. Chan School of Public Health, Boston; Division of Women's Health (A.P.-S.) and Channing Division of Network Medicine, Department of Medicine (J.E.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Rush Alzheimer's Disease Center (F.G.), Rush University Medical Center, Chicago, IL; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine (E.O.), Harvard Medical School, Boston; and Harvard Pilgrim Health Care Institute (E.O.), Boston, MA
| | - Jiaxuan Liu
- From the Departments of Nutrition (D.C.S.-C., S.W., E.O., J.E.C.) and Epidemiology (J.L., R.B.L., J.E.C.), Harvard T.H. Chan School of Public Health, Boston; Division of Women's Health (A.P.-S.) and Channing Division of Network Medicine, Department of Medicine (J.E.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Rush Alzheimer's Disease Center (F.G.), Rush University Medical Center, Chicago, IL; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine (E.O.), Harvard Medical School, Boston; and Harvard Pilgrim Health Care Institute (E.O.), Boston, MA
| | - Rebecca B Lawn
- From the Departments of Nutrition (D.C.S.-C., S.W., E.O., J.E.C.) and Epidemiology (J.L., R.B.L., J.E.C.), Harvard T.H. Chan School of Public Health, Boston; Division of Women's Health (A.P.-S.) and Channing Division of Network Medicine, Department of Medicine (J.E.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Rush Alzheimer's Disease Center (F.G.), Rush University Medical Center, Chicago, IL; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine (E.O.), Harvard Medical School, Boston; and Harvard Pilgrim Health Care Institute (E.O.), Boston, MA
| | - Siwen Wang
- From the Departments of Nutrition (D.C.S.-C., S.W., E.O., J.E.C.) and Epidemiology (J.L., R.B.L., J.E.C.), Harvard T.H. Chan School of Public Health, Boston; Division of Women's Health (A.P.-S.) and Channing Division of Network Medicine, Department of Medicine (J.E.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Rush Alzheimer's Disease Center (F.G.), Rush University Medical Center, Chicago, IL; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine (E.O.), Harvard Medical School, Boston; and Harvard Pilgrim Health Care Institute (E.O.), Boston, MA
| | - Alexandra Purdue-Smithe
- From the Departments of Nutrition (D.C.S.-C., S.W., E.O., J.E.C.) and Epidemiology (J.L., R.B.L., J.E.C.), Harvard T.H. Chan School of Public Health, Boston; Division of Women's Health (A.P.-S.) and Channing Division of Network Medicine, Department of Medicine (J.E.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Rush Alzheimer's Disease Center (F.G.), Rush University Medical Center, Chicago, IL; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine (E.O.), Harvard Medical School, Boston; and Harvard Pilgrim Health Care Institute (E.O.), Boston, MA
| | - Francine Grodstein
- From the Departments of Nutrition (D.C.S.-C., S.W., E.O., J.E.C.) and Epidemiology (J.L., R.B.L., J.E.C.), Harvard T.H. Chan School of Public Health, Boston; Division of Women's Health (A.P.-S.) and Channing Division of Network Medicine, Department of Medicine (J.E.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Rush Alzheimer's Disease Center (F.G.), Rush University Medical Center, Chicago, IL; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine (E.O.), Harvard Medical School, Boston; and Harvard Pilgrim Health Care Institute (E.O.), Boston, MA
| | - Emily Oken
- From the Departments of Nutrition (D.C.S.-C., S.W., E.O., J.E.C.) and Epidemiology (J.L., R.B.L., J.E.C.), Harvard T.H. Chan School of Public Health, Boston; Division of Women's Health (A.P.-S.) and Channing Division of Network Medicine, Department of Medicine (J.E.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Rush Alzheimer's Disease Center (F.G.), Rush University Medical Center, Chicago, IL; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine (E.O.), Harvard Medical School, Boston; and Harvard Pilgrim Health Care Institute (E.O.), Boston, MA
| | - Jorge E Chavarro
- From the Departments of Nutrition (D.C.S.-C., S.W., E.O., J.E.C.) and Epidemiology (J.L., R.B.L., J.E.C.), Harvard T.H. Chan School of Public Health, Boston; Division of Women's Health (A.P.-S.) and Channing Division of Network Medicine, Department of Medicine (J.E.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Rush Alzheimer's Disease Center (F.G.), Rush University Medical Center, Chicago, IL; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine (E.O.), Harvard Medical School, Boston; and Harvard Pilgrim Health Care Institute (E.O.), Boston, MA
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Arvizu M, Wang S, Mitsunami M, Mínguez-Alarcón L, Gaskins AJ, Rosner B, Rich-Edwards JW, Chavarro JE. BMI status and weight trajectories across females' reproductive years and risk of adverse pregnancy outcomes: a prospective cohort study. Am J Clin Nutr 2024; 120:225-231. [PMID: 38777663 PMCID: PMC11251209 DOI: 10.1016/j.ajcnut.2024.04.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 04/08/2024] [Accepted: 04/24/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Prepregnancy body mass index (BMI) is a well-established risk factor of adverse pregnancy outcomes (APOs). The associations of long-term and short-term weight trajectories with APOs are less clear. OBJECTIVES This study aimed to determine the associations of weight trajectories during females' reproductive years, before and between pregnancies, with risk of APOs. METHODS We followed 16,241 females (25,386 singleton pregnancies) participating in a prospective cohort, the Nurses' Health Study II. Weight at age 18 y, current weight, and height were assessed at baseline (1989), and weight was updated biennially. Pregnancy history was self-reported in 2009. The primary outcome was a composite of hypertensive disorders of pregnancy (HDP), gestational diabetes (GDM), preterm birth, and stillbirth. Secondary outcomes were individual APOs. The associations of weight change with APOs were estimated using log-binomial regression, adjusting for demographic, lifestyle, reproductive factors, and baseline BMI (in kg/m2). RESULTS The mean (standard deviation [SD]) age at first in-study pregnancy was 33.7 (4.1) y. The mean (SD) time from age 18 y to pregnancy, baseline to pregnancy, and between pregnancies was 16.3 (4.0), 6.1 (3.0), and 2.9 (1.6) y, with a corresponding weight change of 6.4 (9.1), 3.1 (5.8), and 2.3 (4.8) kg, respectively. Of the pregnancies, 4628 (18.2%) were complicated by ≥1 APOs. Absolute weight change since age 18 y was most strongly associated with APOs. Compared with females whose weight remained stable (0-2 kg) since age 18, females who gained >2 kg had higher risk of APO (2.1-9.9 kg, relative risk [RR]: 1.12; 95% confidence interval [CI]: 1.02, 1.23; 10.0-14.9 kg, RR: 1.43; 95% CI: 1.29, 1.60; ≥15 kg, RR: 1.87; 95% CI: 1.69, 2.08), primarily driven by HDP and GDM. The associations of per 1 kg weight gain before and between pregnancies with HDP were nearly identical. CONCLUSIONS Weight trajectories prior to and between pregnancies were associated with the risk of APOs, particularly HDP. Longer periods of weight gain, corresponding to greater absolute weight gain, were most strongly associated with higher risk of APOs.
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Affiliation(s)
- Mariel Arvizu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Siwen Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Makiko Mitsunami
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Lidia Mínguez-Alarcón
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Audrey J Gaskins
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Janet W Rich-Edwards
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Jorge E Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
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Oh H, Yaghjyan L, Heng YJ, Rosner B, Mahoney MB, Murthy D, Baker GM, Tamimi RM. Associations of Early-Life and Adult Anthropometric Measures with the Expression of Stem Cell Markers CD44, CD24, and ALDH1A1 in Women with Benign Breast Biopsies. Cancer Epidemiol Biomarkers Prev 2024; 33:933-943. [PMID: 38652503 PMCID: PMC11216865 DOI: 10.1158/1055-9965.epi-23-1567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 03/06/2024] [Accepted: 04/17/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND According to the stem cell hypothesis, breast carcinogenesis may be related to the breast stem cell pool size. However, little is known about associations of breast cancer risk factors, such as anthropometric measures, with the expression of stem cell markers in noncancerous breast tissue. METHODS The analysis included 414 women with biopsy-confirmed benign breast disease in the Nurses' Health Study and Nurses' Health Study II. Birthweight, weight at age 18, current weight, and current height were reported via self-administered questionnaires. IHC staining of stem cell markers (CD44, CD24, and aldehyde dehydrogenase family 1 member A1) in histopathologically normal epithelial and stromal breast tissue was quantified using an automated computational image analysis system. Linear regression was used to examine the associations of early-life and adult anthropometric measures with log-transformed stem cell marker expression, adjusting for potential confounders. RESULTS Birthweight [≥10.0 vs. <5.5 lbs: β (95% confidence interval) = 4.29 (1.02, 7.56); P trend = 0.001 in the stroma] and adult height [≥67.0 vs. <63.0 inch: 0.86 (0.14, 1.58); P trend = 0.02 in the epithelium and stroma combined] were positively associated with CD44 expression. Childhood body fatness was inversely associated (P trend = 0.03) whereas adult height was positively associated with CD24 expression in combined stroma and epithelium (P trend = 0.03). CONCLUSIONS Our data suggest that anthropometric measures, such as birthweight, adult height, and childhood body fatness, may be associated with the stem cell expression among women with benign breast disease. IMPACT Anthropometric measures, such as birthweight, height, and childhood body fatness, may have long-term impacts on stem cell population in the breast.
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Affiliation(s)
- Hannah Oh
- Department of Health Policy and Management, Korea University, Seoul, South Korea
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Korea University, Seoul, South Korea
| | - Lusine Yaghjyan
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida
| | - Yujing J Heng
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Matt B Mahoney
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Divya Murthy
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Gabrielle M Baker
- Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
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Trudel-Fitzgerald C, Lee LO, Guimond AJ, Chen R, James P, Koga HK, Lee HH, Okuzono SS, Grodstein F, Rich-Edwards J, Kubzansky LD. A long and resilient life: the role of coping strategies and variability in their use in lifespan among women. ANXIETY, STRESS, AND COPING 2024; 37:473-486. [PMID: 38031408 PMCID: PMC11133228 DOI: 10.1080/10615806.2023.2288333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 11/21/2023] [Indexed: 12/01/2023]
Abstract
OBJECTIVES Associations of stress-related coping strategies with lifespan among the general population are understudied. Coping strategies are characterized as being either adaptive or maladaptive, but it is unknown the degree to which variability in tailoring their implementation to different contexts may influence lifespan. METHOD Women (N = 54,353; Mage = 47) completed a validated coping inventory and reported covariate information in 2001. Eight individual coping strategies (e.g., Acceptance, Denial) were considered separately. Using a standard deviation-based algorithm, participants were also classified as having lower, moderate, or greater variability in their use of these strategies. Deaths were ascertained until 2019. Accelerated failure time models estimated percent changes and 95% confidence intervals (CI) in predicted lifespan associated with coping predictors. RESULTS In multivariable models, most adaptive and maladaptive strategies were associated with longer and shorter lifespans, respectively (e.g., per 1-SD increase: Active Coping = 4.09%, 95%CI = 1.83%, 6.41%; Behavioral Disengagement = -6.56%, 95%CI = -8.37%, -4.72%). Moderate and greater (versus lower) variability levels were similarly and significantly related to 8-10% longer lifespans. Associations were similar across age, racial/ethnic, residential income, and marital status subgroups. CONCLUSIONS Findings confirm the adaptive and maladaptive nature of specific coping strategies, and further suggest benefits from both moderate and greater variability in their use for lifespan among women.
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Affiliation(s)
- Claudia Trudel-Fitzgerald
- Department of Psychology, Université du Québec à Trois-Rivières
- Centre de Recherche, Institut Universitaire en Santé Mentale de Montréal
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health
| | - Lewina O. Lee
- National Center for Posttraumatic Stress Disorder, Veterans Affairs Boston Healthcare System
- Department of Psychiatry, Boston University School of Medicine
| | - Anne-Josée Guimond
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
| | - Ruijia Chen
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute
- Department of Environmental Health, Harvard T.H. Chan School of Public Health
| | - Hayami K. Koga
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
| | - Harold H. Lee
- Department of Epidemiology, University of North Carolina at Chapel Hill
- Department of Biobehavioral Health, Pennsylvania State University
| | - Sakurako S. Okuzono
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
| | - Francine Grodstein
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health
- Rush Alzheimer’s Disease Center, Rush Medical College
| | - Janet Rich-Edwards
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital
- Department of Epidemiology, Harvard T.H. Chan School of Public Health
| | - Laura D. Kubzansky
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
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Chen J, Hart JE, VoPham T, Elliott EG, Birmann BM, Laden F. Association of Residential Exposure to Hazardous Air Pollutants with Risk of Non-Hodgkin Lymphoma and Multiple Myeloma. Cancer Epidemiol Biomarkers Prev 2024; 33:961-964. [PMID: 38656285 PMCID: PMC11216852 DOI: 10.1158/1055-9965.epi-23-1598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/13/2024] [Accepted: 04/22/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Certain hazardous air pollutants (HAP) are known or suspected to pose immunological or cancer risk to humans, but evidence is limited from the general population. METHODS We assessed associations between residential exposure to HAPs at the census tract level and incident non-Hodgkin lymphoma (NHL) and multiple myeloma in the Nurses' Health Study (NHS, 1986-2012) and NHSII (1989-2019). We used the covariate-adjusted proportional hazards model to estimate hazard ratios (HR) of NHL, major NHL subtypes, and multiple myeloma per interquartile range increase in exposure to a given HAP and pooled the cohort-specific estimates using fixed-effects meta-analyses. RESULTS There were 810 NHL and 158 multiple myeloma cases in NHS (1,700,707 person-years) and 379 NHL and 59 multiple myeloma cases in NHSII (2,820,772 person-years). Most HRs approximated unity. Meta-analyses did not show consistent evidence of associations between any HAP exposure and risk of NHL or multiple myeloma. CONCLUSIONS Exposure to HAPs was not consistently associated with risks of NHL or multiple myeloma in these nationwide prospective cohorts of women. IMPACT This is the first nationwide study assessing associations between residential HAP exposures and risk of lymphoid malignances in prospective cohorts and focuses on women, who have frequently been underrepresented in (primarily occupational) studies of exposure to HAPs.
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Affiliation(s)
- Jie Chen
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Trang VoPham
- Epidemiology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA
| | | | - Brenda M. Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
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Fortner RT, Brantley KD, Tworoger SS, Tamimi RM, Rosner B, Holmes MD, Willett WC, Eliassen AH. Recreational physical activity and breast cancer risk by menopausal status and tumor hormone receptor status: results from the Nurses' Health Studies. Breast Cancer Res Treat 2024; 206:77-90. [PMID: 38592542 PMCID: PMC11182805 DOI: 10.1007/s10549-023-07238-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 12/15/2023] [Indexed: 04/10/2024]
Abstract
PURPOSE Physical activity is associated with lower breast cancer risk, especially in postmenopausal women. Associations in premenopausal women are less well established. METHODS We evaluated recreational physical activity and breast cancer risk in the Nurses' Health Study (NHS) and NHSII (187,278 women; n = 12,785 breast cancers; follow-up: NHS = 1986-2016, NHSII = 1989-2017) by menopausal status and estrogen (ER) and progesterone (PR) receptor status. Physical activity was evaluated as updated cumulative average of metabolic equivalent of task (MET)-h/week. Cox proportional hazards models were used to estimate multivariable hazard ratios (HR) and 95% confidence intervals (CI). RESULTS Recreational physical activity was inversely associated with breast cancer risk in pre- and postmenopausal women. Higher activity levels were associated with lower risk of ER+/PR + breast cancer in both pre- and postmenopausal women (e.g., total recreational activity, ≥ 27 vs < 3 MET-h/week, premenopausal HR = 0.83, 95%CI = (0.70-0.99), postmenopausal HR = 0.86 (0.78-0.95); pheterogeneity = 0.97). Results were attenuated with adjustment for current body mass index (BMI) among postmenopausal, but not premenopausal, women (e.g., ≥ 27 vs < 3 MET-h/week, premenopausal HR = 0.83 (0.69-0.98); postmenopausal HR = 0.95 (0.85-1.05); pheterogeneity = 0.99). In analyses of moderate-vigorous activity and breast cancer risk, no heterogeneity by menopausal status was observed (phet ≥ 0.53; e.g., ≥ 27 vs < 3 MET-h/week, ER+/PR+, premenopausal HR = 0.88 (0.69-1.11); postmenopausal HR = 0.71 (0.58-0.88). No associations were observed for ER-/PR- disease. CONCLUSIONS Recreational physical activity was associated with lower breast cancer risk in both pre- and postmenopausal women, supporting recreational physical activity as an accessible, modifiable exposure associated with reduced breast cancer risk regardless of menopausal status.
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Affiliation(s)
- Renée T Fortner
- Department of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Majorstuen, Postbox 5313, 0304, Oslo, Norway.
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
| | - Kristen D Brantley
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Bernard Rosner
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- 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
| | - Michelle D Holmes
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Walter C Willett
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Fung TT, Rossato SL, Chen Z, Khandpur N, Rodriguez-Artalejo F, Willett WC, Struijk EA, Lopez-Garcia E. Ultraprocessed foods, unprocessed or minimally processed foods, and risk of frailty in a cohort of United States females. Am J Clin Nutr 2024; 120:232-239. [PMID: 38750726 DOI: 10.1016/j.ajcnut.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/03/2024] [Accepted: 05/07/2024] [Indexed: 05/28/2024] Open
Abstract
BACKGROUND Ultraprocessed foods (UPFs) and poor diet quality have been associated with frailty but existing studies had relatively short follow-up time. It is also unclear whether the association of UPF was primarily due to its correlation with poorer diet quality. OBJECTIVES We examined the association between unprocessed or minimally processed foods (UMFs) and UPF and risk of frailty and explored whether the association with UPF was mainly driven by poor diet quality. METHODS In total, 63,743 nonfrail females aged 60+ y from the Nurses' Health Study (cohort study) were followed up for ≥26 y. Diet was assessed every 4 y by food frequency questionnaires. UPF and UMF intakes were calculated using the Nova classification. Diet quality was estimated using the Alternate Healthy Eating Index (AHEI) 2010. The association of UMF and UPF with risk of frailty was examined using multivariable adjusted Cox proportional hazard model. RESULTS During the follow-up period, we recorded 15,187 incident cases of frailty. The hazard ratio (HR) of frailty for the highest compared with the lowest quintile of UMFs (servings per day) was 0.86 (95% CI: 0.83, 0.95; P-trend < 0.001). However, this was no longer statistically significant after adjustment for AHEI-2010. UPFs (servings per day) was directly associated with risk of frailty, even after adjustment for AHEI-2010 (1.31; 95% CI: 1.23, 1.39; P-trend < 0.001). Among those at the highest category of the AHEI-2010, UPFs remained directly associated with frailty (HR comparing top with bottom quintile: 1.40; 95% CI:1.24, 1.57; P-trend < 0.001). For UPF components, we found a higher frailty risk with each serving per day of artificial and sugar-sweetened beverages; fat, spreads, and condiments; yogurt and dairy-based desserts; and other UPFs. However, processed whole grains were not associated with frailty. CONCLUSIONS Higher intake of UPF is associated with a higher risk of frailty in older females. This is not explained by a lower diet quality contributed by UPFs.
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Affiliation(s)
- Teresa T Fung
- Department of Nutrition, Simmons University, Boston, MA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
| | - Sinara L Rossato
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Laboratory of Research and Extension in Epidemiolgy (Lapex-Epi), Institute of Geography Universidade Federal de Uberlândia. Uberlândia, Brazil
| | - Zhangling Chen
- Department of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Neha Khandpur
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Division of Human Nutrition and Health, Wageningen University, Netherlands; Faculty of Public Health, University of Sao Paulo, Brazil
| | - Fernando Rodriguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-Idi Paz, Madrid, Spain
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Ellen A Struijk
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-Idi Paz, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Esther Lopez-Garcia
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-Idi Paz, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain; Instituto Madrileño De Estudios Avanzado-Food Institute, Campus de Excelencia Internacional Universidad Autónoma de Madrid+Centro Superior de Investigaciones Científicas, Madrid, Spain
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Rossato S, Oakes EG, Barbhaiya M, Sparks JA, Malspeis S, Willett WC, Khandpur N, Costenbader KH. Ultraprocessed Food Intake and Risk of Systemic Lupus Erythematosus Among Women Observed in the Nurses' Health Study Cohorts. Arthritis Care Res (Hoboken) 2024. [PMID: 38937143 DOI: 10.1002/acr.25395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/10/2024] [Accepted: 06/18/2024] [Indexed: 06/29/2024]
Abstract
OBJECTIVE We assessed ultraprocessed food (UPF) intake and systemic lupus erythematosus (SLE) incidence within the prospective Nurses' Health Study (NHS) cohorts. METHODS A total of 204,175 women were observed (NHS 1984-2016; NHSII 1991-2017). Semiquantitative food frequency questionnaires were completed every two to four years. UPF intake was determined as per the Nova classification. Nurses self-reported new doctor-diagnosed SLE, confirmed by medical records. Time-varying Cox regressions estimated hazard ratios (HRs; 95% confidence intervals [CIs]) for patients with incident SLE and SLE by anti-double-stranded DNA (dsDNA) antibody at diagnosis, according to cumulatively updated daily (a) UPF servings, (b) total intake (in grams and milliliters), and (c) percentage of total intake. Analyses adjusted for age, race, cohort, caloric and alcohol intakes, household income, smoking, body mass index (BMI), physical activity, menarchal age, and oral contraceptive use. We tested for interaction with BMI and examined UPF categories. RESULTS Mean baseline age was ~50 years (NHS) and ~36 years (NHSII); 93% self-reported White race. A total of 212 patients with incident SLE were identified. SLE risk was higher in the third versus first UPF tertile (servings per day pooled multivariable [MV] HR 1.56, 95% CI 1.04-2.32; P = 0.03). Results were stronger for dsDNA antibody in patients with SLE (servings per day pooled MV HR 2.05, 95% CI 1.15-3.65; P = 0.01) and for absolute (servings or total) than percentage of total intake. Sugar-sweetened/artificially sweetened beverages were associated with SLE risk (third vs first tertile MV HR 1.45, 95% CI 1.01-2.09). No BMI interactions were observed. CONCLUSION Higher cumulative average daily UPF intake was associated with >50% increased SLE risk and with doubled risk for anti-dsDNA antibody in patients with SLE. Many deleterious effects on systemic inflammation and immunity are postulated.
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Affiliation(s)
- Sinara Rossato
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Emily G Oakes
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Medha Barbhaiya
- Hospital for Special Surgery, Weill Cornell Medicine, New York, New York
| | - Jeffrey A Sparks
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Susan Malspeis
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Walter C Willett
- Harvard T. H. Chan School of Public Health and Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Neha Khandpur
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts, and Wageningen University, Wageningen, The Netherlands
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Higuera-Gómez A, de Cuevillas B, Ribot-Rodríguez R, San-Cristobal R, de la O V, Dos Santos K, Cuevas-Sierra A, Martínez JA. Reciprocal and Differential Influences of Mediterranean Diet and Physical Activity on Adiposity in a Cohort of Young and Older than 40 Years Adults. Nutrients 2024; 16:1777. [PMID: 38892710 PMCID: PMC11175043 DOI: 10.3390/nu16111777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 05/31/2024] [Accepted: 06/02/2024] [Indexed: 06/21/2024] Open
Abstract
Translational research has documented the conjoint beneficial relationships between dietary and physical activity habits concerning weight maintenance. However, the precise interplay between diet and exercise impacting body composition remains unclear, challenging personalized interventions. This study aimed to explore potential interactions and effect modifications of these factors affecting the body mass index (BMI) within an online adult cohort. Data from 11,883 NUTRiMDEA cohort participants were analyzed in this cross-sectional study, categorizing individuals by age, sex, and BMI using linear regression models to assess the interactions between lifestyle factors and adiposity. Significant differences emerged in anthropometry, lifestyle, and health-related quality of life (HRQoL) across categories. The combined effect of diet and physical activity had a greater impact on BMI than physical activity or Mediterranean diet adherence alone, with lower BMI as physical activity levels increased (β: -0.5) and adherence to the Mediterranean diet decreased, where a modification effect between them was identified (β: -0.28). Participants with lower Mediterranean diet adherence displayed superior BMI when physical activity was low, but when activity levels were higher, their BMI aligned with those with healthier dietary habits. An interaction link between lifestyle factors and BMI was found, showing the differential effects of the Mediterranean diet and physical activity combination concerning adiposity.
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Affiliation(s)
- Andrea Higuera-Gómez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
| | - Begoña de Cuevillas
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
| | - Rosa Ribot-Rodríguez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
| | - Rodrigo San-Cristobal
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels, l’Université Laval (INAF), Québec, QC G1V 0A6, Canada;
- School of Nutrition, Université Laval, Quebec, QC G1V 0A6, Canada
| | - Víctor de la O
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
- Faculty of Health Sciences, International University of La Rioja (UNIR), 26006 Logroño, Spain
| | - Karina Dos Santos
- Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, 373, Carlos Chagas Filho Ave, University City, Rio de Janeiro 21941-590, RJ, Brazil;
- Public Health Nutrition Department, Federal University of the State of Rio de Janeiro, 296, Pasteur Ave, Rio de Janeiro 22290-240, RJ, Brazil
| | - Amanda Cuevas-Sierra
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
| | - J. Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
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Li Y, Huang T, Redline S, Willett WC, Manson JE, Schernhammer ES, Hu FB. Use of melatonin supplements and risk of type 2 diabetes and cardiovascular diseases in the USA: insights from three prospective cohort studies. Lancet Diabetes Endocrinol 2024; 12:404-413. [PMID: 38710189 PMCID: PMC11500835 DOI: 10.1016/s2213-8587(24)00096-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND Use of melatonin supplements has been increasing substantially in both children and adults in the USA; however, their long-term cardiometabolic effects remain unclear. We aimed to assess the associations between regular use of melatonin supplements and the risk of developing type 2 diabetes or cardiovascular disease in adults. METHODS In this study, we included individuals from three US cohorts: the Nurses' Health Study (women only), the Health Professionals Follow-up Study (men only), and the Nurses' Health Study II (women only). Women aged 25-55 years and men aged 45-75 years at baseline, who had no diagnosis of cancer at baseline, and who responded to the question about melatonin supplement use (yes or no) were included. We excluded baseline prevalent cardiovascular disease and baseline prevalent type 2 diabetes for the main analyses. The main outcomes were cardiovascular disease and type 2 diabetes incidence. In secondary analyses, we stratified by duration of rotating night shift work in the Nurses' Health Study and Nurses' Health Study II to examine whether the associations with melatonin supplement use differed by rotating night shift work. FINDINGS For the cardiovascular disease analysis, we included 67 202 women from the Nurses' Health Study (follow-up 1998-2019, mean age at baseline: 63·6 years [SD 7·1]), 26 629 men from the Health Professionals Follow-up Study (1998-2020, 62·9 years [8·8], and 65 241 women from the Nurses' Health Study II (2003-19, 48·2 years [4·7]). Follow-up for incident type 2 diabetes was from 1998 to June 30, 2021, for the Nurses' Health Study; 2003 to Jan 31, 2023, for the Nurses' Health Study II; and from 1998 to Jan 31, 2020, for the Health Professionals' Follow-up Study. Melatonin supplement use in the study cohorts doubled over recent decades from less than 2% in 1998-2007 to 4% or higher in 2014-15 (4·0% in men and 5·3% in women). We documented 16 917 incident cardiovascular disease events during 2 609 068 person-years of follow-up and 12 730 incident cases of type 2 diabetes during 2 701 830 person-years of follow-up. In a pooled analysis of the three cohorts, comparing users with non-users of melatonin supplements, the pooled multivariable-adjusted hazard ratios were 0·94 (95% CI 0·83-1·06, p=0·32) for cardiovascular disease and 0·98 (0·86-1·12, p=0·80) for type 2 diabetes. In secondary analyses, melatonin supplement use appeared to attenuate the positive association between long-term shift work (>5 years) and risk of cardiovascular disease (pinteraction=0·013) among the female nurses. INTERPRETATION With up to 23 years of follow-up of three large prospective cohorts of middle-aged and older men and women, self-reported melatonin supplement use was not associated with risk of type 2 diabetes or cardiovascular disease. Further research is warranted to assess if melatonin supplement use could mitigate the potential risks of type 2 diabetes and cardiovascular disease associated with rotating night shift work. FUNDING US National Institutes of Health.
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Affiliation(s)
- Yanping Li
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Susan Redline
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Division of Sleep and Circadian Disorders, Department of Medicine and Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Walter C Willett
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - JoAnn E Manson
- 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, Harvard Medical School, Boston, MA, USA; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Eva S Schernhammer
- 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, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Center for Public Health, Medical University of Vienna, Austria
| | - Frank B Hu
- 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, Harvard Medical School, Boston, MA, USA.
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Guimond AJ, Ke S, Tworoger SS, Huang T, Chan AT, Kubzansky LD, Liu YY. Fulfilled Mind, Healthy Gut? Relationships of Eudaimonic Psychological Well-Being With the Gut Microbiome in Postmenopausal Women. Psychosom Med 2024; 86:398-409. [PMID: 38345311 PMCID: PMC11142870 DOI: 10.1097/psy.0000000000001278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
OBJECTIVE Eudaimonic facets of psychological well-being (PWB), like purpose in life and sense of mastery, are associated with healthy aging. Variation in the gut microbiome may be one pathway by which mental health influences age-related health outcomes. However, associations between eudaimonic PWB and the gut microbiome are understudied. We examined whether purpose in life and sense of mastery, separately, were associated with features of the gut microbiome in older women. METHODS Participants were from the Mind-Body Study ( N = 206, mean age = 61 years), a substudy of the Nurses' Health Study II cohort. In 2013, participants completed the Life Engagement Test and the Pearlin Mastery Scale. Three months later, up to two pairs of stool samples were collected, 6 months apart. Covariates included sociodemographics, depression, health status, and health behaviors. Analyses examined associations of PWB with gut microbiome taxonomic diversity, overall community structure, and specific species/pathways. To account for multiple testing, statistical significance was established using Benjamini-Hochberg adjusted p values (i.e., q values ≤0.25). RESULTS We found no evidence of an association between PWB and gut microbiome alpha diversity. In multivariate analysis, higher purpose levels were significantly associated with lower abundance of species previously linked with poorer health outcomes, notably Blautia hydrogenotrophica and Eubacterium ventriosum ( q values ≤0.25). No significant associations were found between PWB and metabolic pathways. CONCLUSIONS These findings offer early evidence suggesting that eudaimonic PWB is linked with variation in the gut microbiome, and this might be one pathway by which PWB promotes healthy aging.
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Affiliation(s)
- Anne-Josee Guimond
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Shanlin Ke
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Yang-Yu Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Center for Artificial Intelligence and Modeling, The Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA
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Hamaya R, Wang M, Juraschek SP, Mukamal KJ, Manson JE, Tobias DK, Sun Q, Curhan GC, Willett WC, Rimm EB, Cook NR. Prediction of 24-Hour Urinary Sodium Excretion Using Machine-Learning Algorithms. J Am Heart Assoc 2024; 13:e034310. [PMID: 38726910 PMCID: PMC11179835 DOI: 10.1161/jaha.123.034310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 03/06/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Accurate quantification of sodium intake based on self-reported dietary assessments has been a persistent challenge. We aimed to apply machine-learning (ML) algorithms to predict 24-hour urinary sodium excretion from self-reported questionnaire information. METHODS AND RESULTS We analyzed 3454 participants from the NHS (Nurses' Health Study), NHS-II (Nurses' Health Study II), and HPFS (Health Professionals Follow-Up Study), with repeated measures of 24-hour urinary sodium excretion over 1 year. We used an ensemble approach to predict averaged 24-hour urinary sodium excretion using 36 characteristics. The TOHP-I (Trial of Hypertension Prevention I) was used for the external validation. The final ML algorithms were applied to 167 920 nonhypertensive adults with 30-year follow-up to estimate confounder-adjusted hazard ratio (HR) of incident hypertension for predicted sodium. Averaged 24-hour urinary sodium excretion was better predicted and calibrated with ML compared with the food frequency questionnaire (Spearman correlation coefficient, 0.51 [95% CI, 0.49-0.54] with ML; 0.19 [95% CI, 0.16-0.23] with the food frequency questionnaire; 0.46 [95% CI, 0.42-0.50] in the TOHP-I). However, the prediction heavily depended on body size, and the prediction of energy-adjusted 24-hour sodium excretion was modestly better using ML. ML-predicted sodium was modestly more strongly associated than food frequency questionnaire-based sodium in the NHS-II (HR comparing Q5 versus Q1, 1.48 [95% CI, 1.40-1.56] with ML; 1.04 [95% CI, 0.99-1.08] with the food frequency questionnaire), but no material differences were observed in the NHS or HPFS. CONCLUSIONS The present ML algorithm improved prediction of participants' absolute 24-hour urinary sodium excretion. The present algorithms may be a generalizable approach for predicting absolute sodium intake but do not substantially reduce the bias stemming from measurement error in disease associations.
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Affiliation(s)
- Rikuta Hamaya
- Department of Epidemiology Harvard T. H. Chan School of Public Health Boston MA USA
- Division of Preventive Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School 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
| | - Stephen P Juraschek
- Department of Medicine, Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA
| | - Kenneth J Mukamal
- Department of Medicine, Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA
| | - JoAnn E Manson
- Department of Epidemiology Harvard T. H. Chan School of Public Health Boston MA USA
- Division of Preventive Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA USA
- Mary Horrigan Connors Center for Women's Health and Gender Biology Brigham and Women's Hospital and Harvard Medical School Boston MA USA
| | - Deirdre K Tobias
- Division of Preventive Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA USA
- Department of Nutrition Harvard T. H. Chan School of Public Health Boston MA USA
| | - Qi Sun
- Department of Medicine, Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA
- Department of Nutrition Harvard T. H. Chan School of Public Health Boston MA USA
| | - Gary C Curhan
- Channing Division of Network Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA USA
- Renal Division, Department of Medicine Brigham and Women's Hospital Boston MA USA
| | - Walter C Willett
- 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
- Department of Nutrition Harvard T. H. Chan School of Public Health Boston MA USA
| | - Eric B Rimm
- 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
- Department of Nutrition Harvard T. H. Chan School of Public Health Boston MA USA
| | - Nancy R Cook
- Department of Epidemiology Harvard T. H. Chan School of Public Health Boston MA USA
- Division of Preventive Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA USA
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McKetta S, Hoatson T, Hughes LD, Everett BG, Haneuse S, Austin SB, Hughes TL, Charlton BM. Disparities in Mortality by Sexual Orientation in a Large, Prospective Cohort of Female Nurses. JAMA 2024; 331:1638-1645. [PMID: 38662342 PMCID: PMC11046401 DOI: 10.1001/jama.2024.4459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/06/2024] [Indexed: 04/26/2024]
Abstract
Importance Extensive evidence documents health disparities for lesbian, gay, and bisexual (LGB) women, including worse physical, mental, and behavioral health than heterosexual women. These factors have been linked to premature mortality, yet few studies have investigated premature mortality disparities among LGB women and whether they differ by lesbian or bisexual identity. Objective To examine differences in mortality by sexual orientation. Design, Setting, and Participants This prospective cohort study examined differences in time to mortality across sexual orientation, adjusting for birth cohort. Participants were female nurses born between 1945 and 1964, initially recruited in the US in 1989 for the Nurses' Health Study II, and followed up through April 2022. Exposures Sexual orientation (lesbian, bisexual, or heterosexual) assessed in 1995. Main Outcome and Measure Time to all-cause mortality from assessment of exposure analyzed using accelerated failure time models. Results Among 116 149 eligible participants, 90 833 (78%) had valid sexual orientation data. Of these 90 833 participants, 89 821 (98.9%) identified as heterosexual, 694 (0.8%) identified as lesbian, and 318 (0.4%) identified as bisexual. Of the 4227 deaths reported, the majority were among heterosexual participants (n = 4146; cumulative mortality of 4.6%), followed by lesbian participants (n = 49; cumulative mortality of 7.0%) and bisexual participants (n = 32; cumulative mortality of 10.1%). Compared with heterosexual participants, LGB participants had earlier mortality (adjusted acceleration factor, 0.74 [95% CI, 0.64-0.84]). These differences were greatest among bisexual participants (adjusted acceleration factor, 0.63 [95% CI, 0.51-0.78]) followed by lesbian participants (adjusted acceleration factor, 0.80 [95% CI, 0.68-0.95]). Conclusions and Relevance In an otherwise largely homogeneous sample of female nurses, participants identifying as lesbian or bisexual had markedly earlier mortality during the study period compared with heterosexual women. These differences in mortality timing highlight the urgency of addressing modifiable risks and upstream social forces that propagate and perpetuate disparities.
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Affiliation(s)
- Sarah McKetta
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Harvard University, Boston, Massachusetts
- Department of Epidemiology, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Tabor Hoatson
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Harvard University, Boston, Massachusetts
| | - Landon D. Hughes
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Harvard University, Boston, Massachusetts
- Department of Epidemiology, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | | | - Sebastien Haneuse
- Department of Biostatistics, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - S. Bryn Austin
- Department of Social and Behavioral Sciences, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Division of Adolescent/Young Adult Medicine, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Tonda L. Hughes
- Center for Sexual and Gender Minority Health Research, School of Nursing, Columbia University, New York, New York
| | - Brittany M. Charlton
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Harvard University, Boston, Massachusetts
- Department of Epidemiology, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Division of Adolescent/Young Adult Medicine, Boston Children’s Hospital, Boston, Massachusetts
- Channing Division of Network Medicine, Harvard Medical School and Brigham and Women’s Hospital, Harvard University, Boston, Massachusetts
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Bozigar M, Laden F, Hart JE, Redline S, Huang T, Whitsel EA, Nelson EJ, Grady ST, Levy JI, Peters JL. Aircraft noise exposure and body mass index among female participants in two Nurses' Health Study prospective cohorts living around 90 airports in the United States. ENVIRONMENT INTERNATIONAL 2024; 187:108660. [PMID: 38677085 DOI: 10.1016/j.envint.2024.108660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 04/10/2024] [Accepted: 04/14/2024] [Indexed: 04/29/2024]
Abstract
OBJECTIVE Aircraft noise exposure is linked to cardiovascular disease risk. One understudied candidate pathway is obesity. This study investigates the association between aircraft noise and obesity among female participants in two prospective Nurses' Health Study (NHS and NHSII) cohorts. METHODS Aircraft day-night average sound levels (DNL) were estimated at participant residential addresses from modeled 1 dB (dB) noise contours above 44 dB for 90 United States (U.S.) airports in 5-year intervals 1995-2010. Biennial surveys (1994-2017) provided information on body mass index (BMI; dichotomized, categorical) and other individual characteristics. Change in BMI from age 18 (BMI18; tertiles) was also calculated. Aircraft noise exposures were dichotomized (45, 55 dB), categorized (<45, 45-54, ≥55 dB) or continuous for exposure ≥45 dB. Multivariable multinomial logistic regression using generalized estimating equations were adjusted for individual characteristics and neighborhood socioeconomic status, greenness, population density, and environmental noise. Effect modification was assessed by U.S. Census region, climate boundary, airline hub type, hearing loss, and smoking status. RESULTS At baseline, the 74,848 female participants averaged 50.1 years old, with 83.0%, 14.8%, and 2.2% exposed to <45, 45-54, and ≥55 dB of aircraft noise, respectively. In fully adjusted models, exposure ≥55 dB was associated with 11% higher odds (95% confidence interval [95%CI]: -1%, 24%) of BMIs ≥30.0, and 15% higher odds (95%CI: 3%, 29%) of membership in the highest tertile of BMI18 (ΔBMI 6.7 to 71.6). Less-pronounced associations were observed for the 2nd tertile of BMI18 (ΔBMI 2.9 to 6.6) and BMI 25.0-29.9 as well as exposures ≥45 versus <45 dB. There was evidence of DNL-BMI trends (ptrends ≤ 0.02). Stronger associations were observed among participants living in the West, arid climate areas, and among former smokers. DISCUSSION In two nationwide cohorts of female nurses, higher aircraft noise exposure was associated with higher BMI, adding evidence to an aircraft noise-obesity-disease pathway.
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Affiliation(s)
- Matthew Bozigar
- School of Nutrition and Public Health, College of Health, Oregon State University, 160 SW 26th Street, Corvallis, OR 97331, USA.
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Susan Redline
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; Department of Medicine, Brigham and Women's Hospital, 221 Longwood Ave, Boston, MA 02215, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Elizabeth J Nelson
- College of Arts and Sciences, Boston University, 725 Commonwealth Avenue, Boston, MA 02215, USA
| | - Stephanie T Grady
- Department of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA
| | - Jonathan I Levy
- Department of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA
| | - Junenette L Peters
- Department of Environmental Health, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA
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Farland LV, Valenti M, Degnan WJ, Bertone-Johnson ER, Harris HR, DiVasta AD, Rexrode KM, Eliassen AH, Missmer SA. Laparoscopically confirmed endometriosis and anti-Müllerian hormone levels: Findings from the Nurses' Health Study II. Maturitas 2024; 183:107969. [PMID: 38489917 PMCID: PMC11186619 DOI: 10.1016/j.maturitas.2024.107969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/04/2024] [Accepted: 03/08/2024] [Indexed: 03/17/2024]
Abstract
OBJECTIVE Anti-Müllerian hormone is a reliable measure of ovarian reserve associated with menopause timing and fertility. Previous studies have observed that individuals with endometriosis have lower anti-Müllerian hormone levels than those without. However, sample sizes have been small and information is limited regarding the long-term influence of endometriosis on anti-Müllerian hormone levels among the general population, which may have important implications for menopause timing and chronic disease risk. METHODS Among 1961 premenopausal women in the Nurses' Health Study II who provided a blood sample and had not been pregnant in the last 6 months, we used generalized linear models to determine the association between laparoscopically-confirmed endometriosis and log-transformed plasma anti-Müllerian hormone level, adjusted for age (continuous and squared) and other potential confounding variables. RESULTS Participants were on average 40 years old (interquartile range 37-42 years) at blood draw. Women with endometriosis diagnosed prior to blood draw (n = 119) had a lower mean anti-Müllerian hormone level (1.6 ng/mL [SD = 2.3]) than women without known endometriosis (n = 1842) (2.8 ng/mL [SD = 3.0]). In multivariable adjusted models, women with endometriosis had 29.6 % lower anti-Müllerian hormone levels (95 % CI: -45.4, -9.2 %) than women without. This association was greater among women with a body mass index of 25 kg/m2 or more (percent difference: -44.0 % (-63.7, -13.8)), compared to those with a body mass index of under 25 kg/m2 (percent difference: -19.8 % (-41.7, 10.4)), but did not vary by parity or infertility history. CONCLUSIONS Lower anti-Müllerian hormone levels in women with endometriosis may be one mechanism through which endometriosis influences risk of infertility, younger age at menopause, and cardiovascular disease.
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Affiliation(s)
- Leslie V Farland
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, Department of Obstetrics and Gynecology, College of Medicine -Tucson, University of Arizona, 1295 N. Martin Ave, Tucson, AZ 85724, USA.
| | - Michelle Valenti
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, Tucson, AZ 85724, USA.
| | - William J Degnan
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, Tucson, AZ 85724, USA.
| | - Elizabeth R Bertone-Johnson
- Department of Biostatistics and Epidemiology, Department of Health Promotion and Policy, University of Massachusetts Amherst, 301 Arnold House, 715 North Pleasant Street, Amherst, MA 01003, USA.
| | - Holly R Harris
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave North, Seattle, WA, 98109, USA.
| | - Amy D DiVasta
- Division of Adolescent and Young Adult Medicine, Boston Children's Hospital and Harvard Medical School, 300 Longwood Ave, Boston, MA, 02115, USA.
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
| | - A Heather Eliassen
- Channing Division of Network Medicine, Brigham and Women's Hospital, Department of Epidemiology, Department of Nutrition, Harvard T.H. Chan School of Public Health, 181 Longwood Ave, Boston, MA, 02115, USA.
| | - Stacey A Missmer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, 15 Michigan St. NE, Grand Rapids, MI, 49503, USA.
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Tang W, Spiegelman D, Liao X, Wang M. Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure. Epidemiology 2024; 35:320-328. [PMID: 38630507 DOI: 10.1097/ede.0000000000001706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Regression calibration as developed by Rosner, Spiegelman, and Willett is used to adjust the bias in effect estimates due to measurement error in continuous exposures. The method involves two models: a measurement error model relating the mismeasured exposure to the true (or gold-standard) exposure and an outcome model relating the mismeasured exposure to the outcome. However, no comprehensive guidance exists for determining which covariates should be included in each model. In this article, we investigate the selection of the minimal and most efficient covariate adjustment sets under a causal inference framework. We show that to address the measurement error, researchers must adjust for, in both measurement error and outcome models, any common causes (1) of true exposure and the outcome and (2) of measurement error and the outcome. We also show that adjusting for so-called prognostic variables that are independent of true exposure and measurement error in the outcome model, may increase efficiency, while adjusting for any covariates that are associated only with true exposure generally results in efficiency loss in realistic settings. We apply the proposed covariate selection approach to the Health Professional Follow-up Study dataset to study the effect of fiber intake on cardiovascular disease. Finally, we extend the originally proposed estimators to a nonparametric setting where effect modification by covariates is allowed.
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Affiliation(s)
- Wenze Tang
- From the Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Donna Spiegelman
- Department of Biostatistics, Yale School of Public Health, New Haven, CT
- Center on Methods for Implementation and Prevention Science, Yale School of Public Health, New Haven, CT
| | - Xiaomei Liao
- From the Department of Epidemiology, Harvard School of Public Health, Boston, MA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA
| | - Molin Wang
- From the Department of Epidemiology, Harvard School of Public Health, Boston, MA
- Department of Biostatistics, Harvard School of Public Health, Boston, MA
- Channing Division of Network Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA
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Beccia AL, Zubizarreta D, Austin SB, Raifman JR, Chavarro JE, Charlton BM. Trajectories of Mental Distress Among US Women by Sexual Orientation and Racialized Group During the First Year of the COVID-19 Pandemic. Am J Public Health 2024; 114:511-522. [PMID: 38598758 PMCID: PMC11008304 DOI: 10.2105/ajph.2024.307601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Objectives. To describe longitudinal trends in the prevalence of mental distress across the first year of the COVID-19 pandemic (April 2020‒April 2021) among US women at the intersection of sexual orientation and racialized group. Methods. Participants included 49 805 cisgender women and female-identified people from the COVID-19 Sub-Study, a cohort of US adults embedded within the Nurses' Health Studies 2 and 3 and the Growing Up Today Study. We fit generalized estimating equation Poisson models to estimate trends in depressive and anxiety symptoms by sexual orientation (gay or lesbian, bisexual, mostly heterosexual, completely heterosexual); subsequent models explored further differences by racialized group (Asian, Black, Latine, White, other or unlisted). Results. Relative to completely heterosexual peers, gay or lesbian, bisexual, and mostly heterosexual women had a higher prevalence of depressive and anxiety symptoms at each study wave and experienced widening inequities over time. Inequities were largest for sexual minority women of color, although confidence intervals were wide. Conclusions. The COVID-19 pandemic may have exacerbated already-glaring mental health inequities affecting sexual minority women, especially those belonging to marginalized racialized groups. Future research should investigate structural drivers of these patterns to inform policy-oriented interventions. (Am J Public Health. 2024;114(5):511-522. https://doi.org/10.2105/AJPH.2024.307601).
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Affiliation(s)
- Ariel L Beccia
- Ariel L. Beccia is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA. Dougie Zubizarreta is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston. S. Bryn Austin is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston. Julia R. Raifman is with the Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston. Jorge E. Chavarro is with the Department of Nutrition, Harvard T. H. Chan School of Public Health. Brittany M. Charlton is with the Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston
| | - Dougie Zubizarreta
- Ariel L. Beccia is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA. Dougie Zubizarreta is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston. S. Bryn Austin is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston. Julia R. Raifman is with the Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston. Jorge E. Chavarro is with the Department of Nutrition, Harvard T. H. Chan School of Public Health. Brittany M. Charlton is with the Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston
| | - S Bryn Austin
- Ariel L. Beccia is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA. Dougie Zubizarreta is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston. S. Bryn Austin is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston. Julia R. Raifman is with the Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston. Jorge E. Chavarro is with the Department of Nutrition, Harvard T. H. Chan School of Public Health. Brittany M. Charlton is with the Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston
| | - Julia R Raifman
- Ariel L. Beccia is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA. Dougie Zubizarreta is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston. S. Bryn Austin is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston. Julia R. Raifman is with the Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston. Jorge E. Chavarro is with the Department of Nutrition, Harvard T. H. Chan School of Public Health. Brittany M. Charlton is with the Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston
| | - Jorge E Chavarro
- Ariel L. Beccia is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA. Dougie Zubizarreta is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston. S. Bryn Austin is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston. Julia R. Raifman is with the Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston. Jorge E. Chavarro is with the Department of Nutrition, Harvard T. H. Chan School of Public Health. Brittany M. Charlton is with the Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston
| | - Brittany M Charlton
- Ariel L. Beccia is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA. Dougie Zubizarreta is with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston. S. Bryn Austin is with the Division of Adolescent and Young Adult Medicine, Boston Children's Hospital, and Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston. Julia R. Raifman is with the Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston. Jorge E. Chavarro is with the Department of Nutrition, Harvard T. H. Chan School of Public Health. Brittany M. Charlton is with the Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston
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50
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Gunby SA, Ma W, Levy MJ, Giovannucci EL, Chan AT, Strate LL. Smoking and Alcohol Consumption and Risk of Incident Diverticulitis in Women. Clin Gastroenterol Hepatol 2024; 22:1108-1116. [PMID: 38122959 PMCID: PMC11045313 DOI: 10.1016/j.cgh.2023.11.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 11/16/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND & AIMS Much of what is known about the effects of alcohol and tobacco use on diverticular disease derives from studies of asymptomatic diverticulosis or complicated diverticulitis. We examined smoking and alcohol consumption and risk of incident diverticulitis in a large cohort of women. METHODS We conducted a prospective study of 84,232 women in the Nurses' Health Study II (NHS II) who were 39-52 years old and without known diverticulitis at baseline in 2003. Smoking was ascertained every 2 years and alcohol use every 4 years. We used Cox proportional hazards regression to estimate multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals (CIs). RESULTS During 1,139,660 person-years of follow up, we identified 3018 incident cases of diverticulitis. After adjustment for other risk factors, current (HR, 1.20; 95% CI, 1.04-1.39) and past smoking (HR, 1.20; 95% CI, 1.11-1.30) were associated with increased risk of diverticulitis when compared with never smokers. Women who consumed ≥30 g/d of alcohol had a multivariate HR of 1.26 (95% CI, 1.05-1.50) when compared with women who did not drink. A joint analysis of smoking and alcohol found that individuals who ever smoked and consumed ≥15 g/d of alcohol were at highest risk of diverticulitis (multivariate HR, 1.60; 95% CI, 1.16-2.21), compared with participants who never smoked and reported no alcohol use. CONCLUSIONS In this large prospective study of women, smoking and alcohol consumption were associated with an increased risk of incident diverticulitis. These data highlight additional modifiable risk factors for diverticulitis that may aid in prevention.
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Affiliation(s)
- Sarah A Gunby
- University of Washington Department of Medicine, Seattle, Washington
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School Department of Medicine, Boston, Massachusetts
| | - Miriam J Levy
- University of Washington Department of Medicine, Seattle, Washington
| | | | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School Department of Medicine, Boston, Massachusetts; Harvard University T H Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Lisa L Strate
- University of Washington Department of Medicine, Seattle, Washington.
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