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You D, Tang Y, Lange T, Wu Y, Lu M, Shao F, Shen S, Zhang R, Zhou H, Xu H, Yin Y, Wei Y, Chen F, Shen H, Christiani DC, Zhao Y. Systematic analysis of relationships between serum lipids with all-cause and cause-specific mortality: Evidence from prospective cohort studies of UK Biobank and Women's Health Initiative. Clin Nutr 2025; 47:94-102. [PMID: 39999642 DOI: 10.1016/j.clnu.2025.02.009] [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: 10/14/2024] [Revised: 02/07/2025] [Accepted: 02/09/2025] [Indexed: 02/27/2025]
Abstract
BACKGROUND & AIMS Serum lipids, including lipoproteins, cholesterol, and triglycerides, are important modifiable factors influencing human health. However, the associations among different serum lipid profiles and mortality remain insufficiently understood, particularly regarding potential causality and population heterogeneity. This prospective study aims to systematically investigate the relationships between serum lipid concentrations of different densities and sizes with all-cause and cause-specific mortality. METHODS Cox proportional and Fine-Gray subdistribution hazard models were applied to investigate the associations of 54 lipid concentrations with all-cause and cause-specific mortality (including cardiovascular disease (CVD), cancer, and respiratory disease) in the UK Biobank cohort of 441,448 individuals with 17-year follow-up. Cohorts of 120,967 and 44,168 individuals from the Women's Health Initiative (WHI) with 16-year follow-up and a large-scale meta-analysis were utilized for external replication. We further assessed the underlying causality using Mendelian randomization (MR) and possible modifiers using multiple subgroup analyses. RESULTS During a median follow-up of 13.8 years, 39,290 deaths occurred, including 7399 from CVD, 18,928 from cancer, and 2707 from respiratory disease. We identified 160 significant associations between lipid concentrations and all-cause and cause-specific mortality. Importantly, most were inverse, with decreased lipid levels linked to increased risk of premature death [hazard ratios (HRs): 0.70-0.98 per standard deviation (SD)]. In contrast, positives were observed for HDL (large/very large) and triglyceride concentrations [HRs: 1.02-1.25 per SD], indicating increased mortality risk with higher levels. Most lipoproteins and cholesterol exhibited nonlinearly correlations with mortality, especially the significant U-shaped in total/HDL. However, MR showed that elevations in several lipids were associated with increased all-cause and CVD-specific mortality risk. Multiple subgroup analyses revealed that age, sex, and lipid-modifying drugs modified the lipid-mortality relationship; specifically, higher lipid concentrations increased mortality risk in younger adults not taking lipid-modifying drugs, but decreased mortality in older adults taking lipid-modifying drugs. The majority of associations were replicated in the WHI and external cohorts. CONCLUSION Our study systematically reported a large number of associations between serum lipid concentrations and mortality. Subgroup-based population heterogeneity analysis suggests that age, sex, and lipid-modifying drugs could be modifiers for the lipid-mortality relationship. These findings provide more guidance for lipid management and individualized prevention.
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Affiliation(s)
- Dongfang You
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China.
| | - Yingdan Tang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, ØsterFarimagsgade 5, 1353, Copenhagen, Denmark
| | - Yaqian Wu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Mengyi Lu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Fang Shao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Sipeng Shen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Ruyang Zhang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; China International Cooperation Centre for Environment and Human Health, Centre for Global Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Hongwen Zhou
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Hongyang Xu
- Department of Critical Care Medicine, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, 214023, China
| | - Yongmei Yin
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China
| | - Yongyue Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, 100191, China
| | - Feng Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; China International Cooperation Centre for Environment and Human Health, Centre for Global Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; The Key Laboratory of Modern Toxicology of Ministry of Education, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, and Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA, 02115, USA
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; China International Cooperation Centre for Environment and Human Health, Centre for Global Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; The Key Laboratory of Modern Toxicology of Ministry of Education, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Centre for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, 211166, China; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
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Hendryx M, Manson JE, Ostfeld RJ, Chlebowski RT, LeBlanc ES, Waring ME, Barrington WE, Bittoni MA, Wassertheil-Smoller S, Herold JG, Luo J. Intentional Weight Loss, Waist Circumference Reduction, and Mortality Risk Among Postmenopausal Women. JAMA Netw Open 2025; 8:e250609. [PMID: 40048162 PMCID: PMC11886725 DOI: 10.1001/jamanetworkopen.2025.0609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Accepted: 01/07/2025] [Indexed: 03/09/2025] Open
Abstract
Importance Research investigating weight loss and mortality risk often fails to differentiate between intentional and unintentional weight loss and typically uses body mass index (BMI) as the measure of excess body weight. Objective To evaluate associations between weight loss and waist circumference (WC) reduction and mortality, considering weight loss intentionality. Design, Setting, and Participants This cohort study used data from the Women's Health Initiative Observational Study, which had a prospective cohort with mean follow-up of 18.6 years ending in February 2023. The study included women aged 50 to 79 years at 40 clinical centers in the US. Women with missing data, cancer at baseline, or considered underweight at baseline were excluded. Data were collected from September 1993 to February 2023 and were analyzed from June to December 2024. Exposures Measured weight loss and WC reduction between baseline and year 3, stratified by women who reported intentional weight loss or not. Main Outcomes and Measures Outcomes included adjudicated all-cause, cancer, cardiovascular, and other mortality through the end of follow-up. Cox proportional hazards regression models were used to evaluate the associations (hazard ratios [HRs] and 95% CIs) between weight loss, WC reduction, and mortality over 18.6 years of follow-up. Results This study included 58 961 women at baseline (mean [SD] age, 63.3 [7.2] years; mean [SD] BMI, 27.0 [5.6]; mean [SD] WC, 84.1 [13.0] cm). As of February 28, 2023, 29 183 women (49.5%) died from all causes. Intentional weight loss measured by questionnaire was associated with lower subsequent mortality rates for all-cause mortality (HR, 0.88; 95% CI, 0.86-0.90), cancer mortality (HR, 0.87; 95% CI, 0.82-0.92), cardiovascular mortality (HR, 0.87; 95% CI, 0.83-0.91), and other mortality (HR, 0.89; 95% CI, 0.86-0.92), comparing loss of 5 pounds or more to stable weight. Reported intentional weight loss coupled with actual weight reduction of 5% or more was associated only with lower cardiovascular mortality (HR, 0.90; 95% CI, 0.81-0.99). Reported intentional weight loss coupled with measured WC loss was associated with lower rates of all-cause mortality (HR, 0.91; 95% CI, 0.86-0.95), cancer mortality (HR, 0.85; 95% CI, 0.76-0.95), and cardiovascular mortality (HR, 0.79; 95% CI, 0.72-0.87). Unintentional weight loss or unintentional WC loss were each associated with increased mortality risk for all groups, as were weight gain and WC gain. Conclusions and Relevance In this cohort study, reported intentional weight loss efforts that were coupled with measured WC reductions were associated with lower risk of all-cause, cancer, and cardiovascular mortality. Attention to diet and exercise that promote reductions in central adiposity should be encouraged.
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Affiliation(s)
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | | | | | - Molly E. Waring
- Department of Allied Health Sciences, University of Connecticut, Storrs
| | - Wendy E. Barrington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle
| | | | | | | | - Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington
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Chen ML, Li J, Iyer KR, Tcheandjieu C, Jimenez S, Salfati ELI, Del Gobbo LC, Stefanick ML, Desai M, Xue X, Assimes TL. Premorbid predictors of death at initial presentation of coronary heart disease in the Women's Health Initiative study. Am J Prev Cardiol 2025; 21:100931. [PMID: 39911229 PMCID: PMC11795550 DOI: 10.1016/j.ajpc.2025.100931] [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: 07/04/2024] [Revised: 12/20/2024] [Accepted: 01/12/2025] [Indexed: 02/07/2025] Open
Abstract
Background Premorbid health traits that increase the risk of dying at the time of initial presentation of coronary heart disease (CHD) remain poorly characterized. Methods We followed 148,230 post-menopausal participants in the Women's Health Initiative for a median of 13.3 years. We ascertained the first occurrence of CHD and performed a joint Cox multivariate regression to identify premorbid predictors for a fatal rather than a non-fatal incident event. Results A total of 10,714 incident CHD events including 513 fatal events accrued during follow up. A five-year increase in age, smoking 5 to 34 cigarettes per day, and a standard deviation (SD) increase in the Cornel voltage product, an electrocardiographic measure highly correlated with left ventricular mass index on echocardiography, each independently increased the relative risk (RR) of dying from one's initial presentation of CHD by 46 % (95 % confidence interval [CI], 35 to 58 %), 30 % (8 to 51 %,), and 17 % (7 to 28 %), respectively. A high level of recreational physical activity (>1200 metabolic equivalent (MET) minutes per week) reduced one's relative risk by 32 % (12 to 49 %). A significant dose-response effect was observed for both physical activity and smoking and the reduction in absolute risk of presenting with fatal CHD associated with a healthy lifestyle was roughly equivalent to the difference in risk observed among women separated in age by approximately 10 years. Conclusions Modifiable factors affect a post-menopausal woman's risk of dying from her initial presentation of CHD. Our findings may reduce case-fatality risk of CHD by motivating individuals at risk to adopt and/or adhere to established primary prevention strategies.
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Affiliation(s)
- Ming-Li Chen
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Palo Alto VA Healthcare System, Palo Alto, CA, USA
| | - Jin Li
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Thermo Fisher Scientific, South San Francisco, CA, USA
| | - Kruthika R. Iyer
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Palo Alto VA Healthcare System, Palo Alto, CA, USA
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA
| | - Catherine Tcheandjieu
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Palo Alto VA Healthcare System, Palo Alto, CA, USA
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA
| | - Shirin Jimenez
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Internal Medicine (Division of Cardiovascular Medicine), University of California Davis Health, Davis, CA, USA
| | - Elias Levy Itshak Salfati
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Scripps Research Translational Institute at Scripps Research, La Jolla, CA, USA
| | - Liana C. Del Gobbo
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Marcia L Stefanick
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Manisha Desai
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaonan Xue
- Division of Biostatistics, Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Themistocles L Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Palo Alto VA Healthcare System, Palo Alto, CA, USA
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4
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Harrington LB, Cushing-Haugen KL, Nguyen S, Bellettiere J, LaMonte MJ, Eaton CB, Allison MA, Wallace RB, Manson JE, Jensen MK, Kabrhel C, Wellenius GA, Lee IM, Mukamal KJ, LaCroix AZ. Sedentary behaviors and venous thromboembolism risk among older women: the Objective Physical Activity and Cardiovascular Health study. J Thromb Haemost 2025:S1538-7836(25)00110-2. [PMID: 39986610 DOI: 10.1016/j.jtha.2025.02.014] [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: 07/20/2024] [Revised: 12/23/2024] [Accepted: 02/03/2025] [Indexed: 02/24/2025]
Abstract
BACKGROUND Venous stasis, which can occur with prolonged sedentary behavior (SB), is associated with venous thromboembolism (VTE) risk, but VTE risk associated with accelerometer-measured SB has not been quantified. OBJECTIVES To evaluate accelerometer-based measures of SB in relation to incident VTE. METHODS We included 5591 participants, aged 63 to 99 years, of the Women's Health Initiative Objective Physical Activity and Cardiovascular Health cohort study without prior VTE. Between May 2012 and April 2014, participants wore the ActiGraph GT3X+ accelerometer at the hip for 7 days. Three SB measures were classified using the Convolutional Neural Network Hip Accelerometer Posture algorithm: total sitting time, mean sitting bout duration, and total time spent in prolonged (≥30 minutes) sitting bouts. VTE events were centrally adjudicated. Multivariable-adjusted Cox models estimated hazard ratios for each SB and VTE risk. Women were censored at first VTE, death, loss to follow-up, or February 2023. Mediation by body mass index (BMI) was evaluated. RESULTS Over a mean follow-up of 8.2 years, 229 women experienced a VTE. In adjusted models, longer mean sitting bout duration was associated with greater incident VTE risk (hazard ratio per 5-minute increase, 1.15; 95% CI, 1.04-1.28). BMI mediated approximately 30% of this association (P < .01). We found no significant evidence that total sitting time or total time spent in prolonged sitting bouts were associated with VTE. CONCLUSION Longer mean sitting bout duration was associated with greater VTE risk, with substantial mediation by BMI. Behavioral efforts to reduce sedentary bout length in older women may reduce their VTE risk.
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Affiliation(s)
- Laura B Harrington
- Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA 98195, USA; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA.
| | | | - Steve Nguyen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, USA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, USA
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, New York, USA
| | - Charles B Eaton
- Departments of Family Medicine and Epidemiology, Brown University, Providence, Rhode Island, USA
| | - Matthew A Allison
- Division of Preventive Medicine, Department of Family Medicine, University of California San Diego, San Diego, California, USA
| | - Robert B Wallace
- Departments of Epidemiology and Internal Medicine, University of Iowa, Iowa City, Iowa, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Majken K Jensen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Christopher Kabrhel
- Massachusetts General Hospital, Department of Emergency Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Gregory A Wellenius
- Department of Environmental Health, Boston University, Boston, Massachusetts, USA
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kenneth J Mukamal
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, USA
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5
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Vasbinder A, Wadden E, Cheng RK, Barac A, Friese CR, Sun Y, Shadyab AH, Liu L, Martin LW, Stefanick M, Simon MS, Reding K. Relationship between incident cardiovascular disease and quality of life after a breast cancer diagnosis. J Cancer Surviv 2025:10.1007/s11764-025-01757-w. [PMID: 39909978 DOI: 10.1007/s11764-025-01757-w] [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: 09/17/2024] [Accepted: 01/30/2025] [Indexed: 02/07/2025]
Abstract
PURPOSE Breast cancer survivors are at risk for both poor quality of life (QoL) and cardiovascular disease (CVD). This study examines whether incident CVD after breast cancer independently predicts QoL. METHODS Using data from the Women's Health Initiative, we included women who were diagnosed with invasive breast cancer during follow-up and free of prevalent CVD prior to breast cancer. CVD was defined as adjudicated coronary heart disease, heart failure, or stroke. Physical and mental QoL, measured by the SF-36 Physical and Mental Component Scores (PCS and MCS, respectively), were recorded after breast cancer. Poor PCS and MCS were defined as scores < 40. We used adjusted time-dependent Cox proportional hazards models, accounting for time to CVD. RESULTS Among 2912 BC survivors (mean age at BC diagnosis = 67), 1094 (37.6%) and 313 (10.7%) women had a post-breast cancer PCS and MCS score < 40, respectively, at a median of 2.5 years. A higher proportion of women had poor PCS scores post-BC (37.5% vs. 19.2%, P < 0.001) but not MCS (10.4% vs. 8.2%, P = 0.10). After adjustment for key covariates, incident CVD was associated with a 1.95-fold (95% CI 1.42, 2.67) greater risk of poor PCS scores (P < 0.001), but was not associated with poor MCS (HR 1.23, 95% CI 0.57, 2.65, P = 0.59)). CONCLUSIONS Incident CVD after breast cancer was associated with poor physical QoL but not mental QoL. IMPLICATIONS FOR CANCER SURVIVORS This study highlights the importance of regular assessments of QoL and need for strategies to improve physical QoL in breast cancer survivors with CVD.
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Affiliation(s)
- Alexi Vasbinder
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, 1959 NE Pacific St, Box 357266, Seattle, WA, 98195, USA.
| | - Elena Wadden
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Richard K Cheng
- Division of Cardiology, University of Washington, Seattle, WA, USA
| | - Ana Barac
- Inova Schar Heart and Vascular, Inova Schar Cancer, Fairfax, VA, USA
| | - Christopher R Friese
- Rogel Cancer Center, School of Nursing and Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Yangbo Sun
- Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science and Division of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Longjian Liu
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Lisa Warsinger Martin
- Division of Cardiology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
| | - Marcia Stefanick
- Stanford Prevention Research Center, School of Medicine, Stanford University, Stanford, CA, USA
| | - Michael S Simon
- Department of Oncology, Karmanos Cancer Institute at Wayne State University, Detroit, MI, USA
| | - Kerryn Reding
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, 1959 NE Pacific St, Box 357266, Seattle, WA, 98195, USA
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Soliman AI, Wactawski-Wende J, Millen AE, Gray SL, Eaton CB, Hovey KM, Andrews CA, Shadyab AH, Haring B, Saquib N, Johnson KC, Allison M, Manson JE, LaMonte MJ. Proton Pump Inhibitor Use and Incident Cardiovascular Disease in Older Postmenopausal Women. J Am Geriatr Soc 2025; 73:411-421. [PMID: 39739511 PMCID: PMC11828671 DOI: 10.1111/jgs.19326] [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: 05/10/2024] [Revised: 08/26/2024] [Accepted: 10/09/2024] [Indexed: 01/02/2025]
Abstract
BACKGROUND Epidemiological studies have been inconsistent regarding an association between proton pump inhibitor (PPI) use and risk of primary cardiovascular disease (CVD) events. METHODS We studied 85,189 postmenopausal women (mean age 63 years at baseline) without known CVD at enrollment into the Women's Health Initiative Observational Study (1993-1998). PPI use was determined from medication inventories at baseline and Year-3. CVD events were physician adjudicated and defined as a composite of coronary heart disease, stroke, and CVD mortality. Follow up was from baseline to September 2010. Multivariable Cox proportional hazard models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for incident CVD according to baseline PPI use (no/yes), use duration (non-user, < 1 year, 1-3 years, > 3 years), and time-varying based on updated Year-3 information. Propensity score adjustment was used to control for residual confounding. RESULTS At baseline, 1747 (2.1%) women reported using PPIs. During a mean follow-up of 11 years, 5778 (6.8%) cases of primary CVD were identified. PPI users had significantly higher risk of CVD compared with non-users in the fully adjusted model (HR: 1.21, 95% CI: 1.02-1.43), and after propensity score adjustment (HR: 1.27, 95% CI: 1.21-1.32). Longer PPI use duration was associated with incrementally higher CVD risk (HRs: < 1 year: 1.11, 1-3 years: 1.27, > 3 years: 1.33; p for trend = 0.02). CONCLUSIONS PPI use was associated with higher risk of incident primary CVD in older postmenopausal women. These findings underscore the importance of guideline-directed PPI use to avoid unwanted adverse events.
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Affiliation(s)
- Ahmed I. Soliman
- Department of Epidemiology and Environmental Health, University at Buffalo – SUNY, Buffalo, New York, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo – SUNY, Buffalo, New York, USA
| | - Amy E. Millen
- Department of Epidemiology and Environmental Health, University at Buffalo – SUNY, Buffalo, New York, USA
| | - Shelly L. Gray
- School of Pharmacy, University of Washington, Seattle, Washington, USA
| | - Charles B. Eaton
- Department of Family Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Kathleen M. Hovey
- Department of Epidemiology and Environmental Health, University at Buffalo – SUNY, Buffalo, New York, USA
| | - Chris A. Andrews
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Bernhard Haring
- Department of Medicine, Saarland University Medical Center, Saarbrücken, Germany
| | - Nazmus Saquib
- College of Medicine, Sulaiman AlRajhi University, Qassim, Saudi Arabia
| | - Karen C. Johnson
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Matthew Allison
- Department of Family Medicine, University of California San Diego, La Jolla, California, USA
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, University at Buffalo – SUNY, Buffalo, New York, USA
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7
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Dunk MM, Driscoll I, Espeland MA, Hayden KM, Liu S, Nassir R, Natale G, Shadyab AH, Manson JE. Relationships Between APOE, Type 2 Diabetes, and Cardiovascular Disease in Postmenopausal Women. J Gerontol A Biol Sci Med Sci 2025; 80:glae246. [PMID: 39364911 PMCID: PMC11775828 DOI: 10.1093/gerona/glae246] [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: 05/13/2024] [Indexed: 10/05/2024] Open
Abstract
BACKGROUND The apolipoprotein E (APOE) ε4 allele, type 2 diabetes mellitus (T2DM), and cardiovascular disease (CVD) are well-established risk factors for dementia. Relationships between APOE and incidence of T2DM and CVD are not fully understood but may shed light on the mechanisms underlying dementia pathogenesis. METHODS Postmenopausal women (N = 6 795) from the Women's Health Initiative hormone therapy clinical trial with APOE genotyping and no prior diagnosis of T2DM or CVD were included. We examined associations of APOE status (APOE2+ [ε2/ε2, ε2/ε3], APOE3 [ε3/ε3], and APOE4+ [ε4/ε4, ε3/ε4] carriers) with incidence of T2DM, coronary heart disease, stroke, and total CVD events using Cox regression. CVD outcomes were examined in baseline non-statin users and adjusted for statin initiation over follow-up to account for possible confounding by statins. RESULTS Among all participants (mean age 66.7 ± 6.5 years, 100% non-Hispanic White), 451 (6.6%) were using statins at baseline. Over the follow-up (mean 14.9 and 16.0 years for T2DM and CVD, respectively), 1 564 participants developed T2DM and 1 578 developed CVD. T2DM incidence did not differ significantly by APOE status (ps ≥ .09). Among non-statin users, APOE4+ had higher incidence of total CVD (hazard ratio [95% confidence interval] = 1.18 [1.02-1.38], p = .03) compared with APOE3 carriers, but risks for coronary heart disease (1.09 [0.87-1.36], p = .47) and stroke (1.14 [0.91-1.44], p = .27) were not significantly elevated when examined individually. CVD outcomes did not differ between APOE2+ and APOE3 carriers (ps ≥ 0.11). CONCLUSIONS T2DM risk did not differ by APOE status among postmenopausal women, but APOE4+ carriers not using statins had an increased risk of total CVD events.
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Affiliation(s)
- Michelle M Dunk
- Department of Psychology, University of Wisconsin–Milwaukee, Milwaukee, Wisconsin, USA
- Department of Neurobiology, Aging Research Center, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Ira Driscoll
- Department of Psychology, University of Wisconsin–Milwaukee, Milwaukee, Wisconsin, USA
- Alzheimer’s Disease Research Center, University of Wisconsin–Madison, Madison, Wisconsin, USA
| | - Mark A Espeland
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Sticht Center for Healthy Aging and Alzheimer’s Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Kathleen M Hayden
- Division of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Simin Liu
- Department of Epidemiology and Center for Global Cardiometabolic Health, School of Public Health, Brown University, Providence, Rhode Island, USA
- Departments of Surgery and Medicine, The Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura University, Mecca, Saudi Arabia
| | - Ginny Natale
- Program in Public Health, Stony Brook University School of Medicine, Stony Brook, New York, USA
| | - Aladdin H Shadyab
- Hebert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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8
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Bea JW, Ochs-Balcom HM, Valencia CI, Chen Z, Blew RM, Lind KE, Caan BJ, Roe DJ, Rohan TE, Reeves KW, Manson JE, Ballinger T, Reding KW, Follis S, Ziller SG, Odegaard AO. Abdominal visceral and subcutaneous adipose tissue associations with postmenopausal breast cancer incidence. JNCI Cancer Spectr 2025; 9:pkaf007. [PMID: 39847539 DOI: 10.1093/jncics/pkaf007] [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: 09/29/2024] [Revised: 12/19/2024] [Accepted: 01/15/2025] [Indexed: 01/25/2025] Open
Abstract
BACKGROUND Obesity, classified by body mass index (BMI), is associated with higher postmenopausal breast cancer (BCa) risk. Yet, the associations between abdominal visceral (VAT) and subcutaneous adipose tissue (SAT) with BCa are unclear. METHODS We assessed BCa associations with abdominal VAT and SAT in a prospective cohort of postmenopausal women without a history of cancer and with 27 years follow-up (N = 9950), during which all new cancers were adjudicated. Dual-energy x-ray absorptiometry scans assessed adiposity at baseline, year 3, and year 6. Competing-risks multivariable sub-hazard ratios (SHR), with adjustments for sociodemographic, behavioral, reproductive, and anthropometric characteristics, were estimated for baseline and time-dependent associations between VAT, SAT, and incident BCa. RESULTS Participants averaged 63.3 ± 7.4 years of age and a BMI of 28.20 ± 5.72 kg/m2 at baseline. The models included 738 incident BCa case patients (N = 593 invasive; N = 145 in situ). Baseline VAT and SAT area were associated with statistically significantly increased BCa risk, by 36% and 19%, respectively. Increasing VAT/SAT ratio was associated with an 8% increase in incident BCa. Time-dependent models produced similar results. VAT and VAT/SAT associated BCa risk was highest for African American/Black women, although not statistically significantly different from other groups. Quartiles (Q) of VAT/SAT were also explored; the SHR for Q4 compared with Q1 was 1.49 (95% CI = 1.18 to 1.87). CONCLUSION Higher abdominal VAT and SAT are associated with an increased risk of postmenopausal BCa, and VAT/SAT may provide a distinctive risk estimate. Potential racial and ethnic differences require replication in a larger sample (Women's Health Initiative; NCT00000611; https://clinicaltrials.gov/study/NCT00000611).
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Affiliation(s)
- Jennifer W Bea
- Department of Health Promotion Sciences, University of Arizona, Tucson, AZ 85724, United States
| | - Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, State University of New York at Buffalo, Buffalo, NY 14214, United States
| | - Celina I Valencia
- Department Family and Community Medicine, University of Arizona, Tucson, AZ 85724, United States
| | - Zhao Chen
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85724, United States
| | - Robert M Blew
- Department of Health Promotion Sciences, University of Arizona, Tucson, AZ 85724, United States
| | - Kimberly E Lind
- Center for the Study of Healthcare Innovation, Implementation and Policy, US Department of Veterans Affairs, Tucson, AZ 85723, United States
| | - Bette J Caan
- Kaiser Permanente Division of Research, Oakland, CA 94612, United States
| | - Denise J Roe
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85724, United States
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, United States
| | - Katherine W Reeves
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003, United States
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Tarah Ballinger
- Department of Medicine, Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN 46202, United States
| | - Kerryn W Reding
- University of Washington/Fred Hutch Cancer Research Center, Seattle, WA 98109, United States
| | - Shawna Follis
- Stanford Prevention Research Center, School of Medicine, Stanford University, Stanford University School of Medicine, Palo Alto, CA 94304, United States
| | - Shelby G Ziller
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85724, United States
| | - Andrew O Odegaard
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA 92617, United States
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9
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Schuermans A, Pournamdari AB, Lee J, Bhukar R, Ganesh S, Darosa N, Small AM, Yu Z, Hornsby W, Koyama S, Kooperberg C, Reiner AP, Januzzi JL, Honigberg MC, Natarajan P. Integrative proteomic analyses across common cardiac diseases yield mechanistic insights and enhanced prediction. NATURE CARDIOVASCULAR RESEARCH 2024; 3:1516-1530. [PMID: 39572695 PMCID: PMC11634769 DOI: 10.1038/s44161-024-00567-0] [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: 01/04/2024] [Accepted: 10/23/2024] [Indexed: 11/24/2024]
Abstract
Cardiac diseases represent common highly morbid conditions for which molecular mechanisms remain incompletely understood. Here we report the analysis of 1,459 protein measurements in 44,313 UK Biobank participants to characterize the circulating proteome associated with incident coronary artery disease, heart failure, atrial fibrillation and aortic stenosis. Multivariable-adjusted Cox regression identified 820 protein-disease associations-including 441 proteins-at Bonferroni-adjusted P < 8.6 × 10-6. Cis-Mendelian randomization suggested causal roles aligning with epidemiological findings for 4% of proteins identified in primary analyses, prioritizing therapeutic targets across cardiac diseases (for example, spondin-1 for atrial fibrillation and the Kunitz-type protease inhibitor 1 for coronary artery disease). Interaction analyses identified seven protein-disease associations that differed Bonferroni-significantly by sex. Models incorporating proteomic data (versus clinical risk factors alone) improved prediction for coronary artery disease, heart failure and atrial fibrillation. These results lay a foundation for future investigations to uncover disease mechanisms and assess the utility of protein-based prevention strategies for cardiac diseases.
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Affiliation(s)
- Art Schuermans
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Faculty of Medicine, KU Leuven, Leuven, Belgium
| | - Ashley B Pournamdari
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jiwoo Lee
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Rohan Bhukar
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Shriienidhie Ganesh
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Nicholas Darosa
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Aeron M Small
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Medicine Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Zhi Yu
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Whitney Hornsby
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Satoshi Koyama
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Alexander P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - James L Januzzi
- Baim Institute for Clinical Research, Boston, MA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Michael C Honigberg
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Pradeep Natarajan
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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10
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Chen Y, Zhao L, Jung SY, Pichardo MS, Lopez-Pentecost M, Rohan TE, Saquib N, Sun Y, Tabung FK, Zheng T, Wactawski-Wende J, Manson JE, Neuhouser ML, Zhang X. Diabetes risk reduction diet and risk of liver cancer and chronic liver disease mortality: A prospective cohort study. J Intern Med 2024; 296:410-421. [PMID: 39239793 DOI: 10.1111/joim.20007] [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: 09/07/2024]
Abstract
BACKGROUND We aimed to prospectively evaluate the association between a diabetes risk reduction diet (DRRD) score and the risk of liver cancer development and chronic liver disease-specific mortality. METHODS We included 98,786 postmenopausal women from the Women's Health Initiative-Observational Study and the usual diet arm of the Diet Modification trial. The DRRD score was derived from eight factors: high intakes of dietary fiber, coffee, nuts, polyunsaturated fatty acids, low intakes of red and processed meat, foods with high glycemic index, sugar-sweetened beverages (SSBs), and trans fat based on a validated Food-Frequency Questionnaire administered at baseline (1993-1998). Multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) for liver cancer incidence and chronic liver disease mortality were estimated using Cox proportional hazards regression models. RESULTS AND CONCLUSION After a median follow-up of 22.0 years, 216 incident liver cancer cases and 153 chronic liver disease deaths were confirmed. A higher DRRD score was significantly associated with a reduced risk of developing liver cancer (HRTertile 3 vs. Tertile 1 = 0.69; 95% CI: 0.49-0.97; Ptrend = 0.03) and chronic liver disease mortality (HRT3 vs. T1 = 0.54; 95% CI: 0.35-0.82; Ptrend = 0.003). We further found inverse associations with dietary fiber and coffee, and positive associations with dietary glycemic index, SSBs, and trans fat. A higher DRRD score was associated with reduced risk of developing liver cancer and chronic liver disease mortality among postmenopausal women.
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Affiliation(s)
- Yun Chen
- Yale School of Nursing, Orange, Connecticut, USA
| | | | - Su Yon Jung
- Department of Epidemiology, Fielding School of Public Health, Jonsson Comprehensive Cancer Center, Translational Sciences Section, School of Nursing, University of California Los Angeles, Los Angeles, California, USA
| | - Margaret S Pichardo
- Department of Surgery, Hospital of the University of Pennsylvania, Penn Medicine, Philadelphia, Pennsylvania, USA
| | - Melissa Lopez-Pentecost
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, The Bronx, New York, USA
| | - Nazmus Saquib
- Clinical Sciences Department, College of Medicine, Sulaiman AlRajhi University, Al Bukayriyah, Kingdom of Saudi Arabia
| | - Yangbo Sun
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Fred K Tabung
- Department of Internal Medicine, Division of Medical Oncology, College of Medicine and Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Tongzhang Zheng
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Marian L Neuhouser
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Xuehong Zhang
- Yale School of Nursing, Orange, Connecticut, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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11
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Hyde ET, Nguyen S, LaMonte MJ, Di C, Bellettiere J, Tinker LF, Foraker RE, Tindle HA, Stefanick ML, LaCroix AZ. Influence of physical activity measurement on the association between Life's Essential 8 and incident cardiovascular disease in older women. Prev Med Rep 2024; 47:102904. [PMID: 39498208 PMCID: PMC11532471 DOI: 10.1016/j.pmedr.2024.102904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 10/07/2024] [Accepted: 10/08/2024] [Indexed: 11/07/2024] Open
Abstract
Objective The American Heart Association's Life's Essential 8 (LE8) metric includes self-reported physical activity as one of the metrics for assessing cardiovascular health. Self-reported physical activity is prone to misclassification, whereas accelerometer measures are less biased. We examined associations of LE8 and incident cardiovascular disease (CVD) using self-reported and accelerometer-measured physical activity. Methods Participants in the Women's Health Initiative (WHI) Objective Physical Activity and Cardiovascular Health Study (n = 4,243; mean age = 79 ± 7 years) with no CVD history completed the WHI physical activity questionnaire and the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire prior to wearing a hip-worn accelerometer for up to seven days in 2012-2014. LE8 components (physical activity, diet, sleep, body mass index, smoking, blood pressure, non-HDL cholesterol, and glucose) were scored according to guidelines. Scores were created using five physical activity measures: WHI questionnaire (LE8WHI), CHAMPS (LE8CHAMPS), accelerometer-measured physical activity (LE8A), and sample quantiles of accelerometer-measured physical activity (LE8AQ) and daily steps (LE8STEPS). Hazard ratios (HR) for physician-adjudicated CVD were estimated using Cox regression. Results 707 incident CVD events occurred over an average 7.5 years. Multivariable HRs (95 % CI) comparing women in the highest vs. lowest quartiles of LE8 scores were: LE8WHI = 0.53 (0.43-0.67), LE8CHAMPS = 0.47 (0.38-0.60), LE8A = 0.44 (0.36-0.56), LE8AQ = 0.44 (0.35-0.55), and LE8STEPS = 0.45 (0.35-0.57). Conclusions The LE8-incident CVD association varies by physical activity measurement, however all methods showed reduced risk. Device-measures of physical activity may be more accurate in the LE8, but when impractical to implement, also support use of self-reported measures.
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Affiliation(s)
- Eric T. Hyde
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, United States
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, United States
| | - Steve Nguyen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, United States
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo – SUNY, Buffalo, NY, United States
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, United States
| | - Lesley F. Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Randi E. Foraker
- Division of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Hilary A. Tindle
- Vanderbilt University Medical Center, Nashville, TN, United States
- Geriatric Research Education and Clinical Centers (GRECC), Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, United States
| | - Marcia L. Stefanick
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, United States
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12
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Ha ET, Haessler J, Taylor KD, Tuftin B, Briggs M, Parikh MA, Peterson SJ, Gerszten RE, Wilson JG, Kelsey K, Tahir UA, Seeman T, Rich SS, Carson AP, Post WS, Kooperberg C, Rotter JI, Raffield LM, Auer P, Reiner AP. The Relationship of Duffy Gene Polymorphism with High-Sensitivity C-Reactive Protein, Mortality, and Cardiovascular Outcomes in Black Individuals. Genes (Basel) 2024; 15:1382. [PMID: 39596582 PMCID: PMC11594091 DOI: 10.3390/genes15111382] [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: 10/10/2024] [Revised: 10/23/2024] [Accepted: 10/24/2024] [Indexed: 11/28/2024] Open
Abstract
Background: Black adults have higher incidence of all-cause mortality and worse cardiovascular disease (CVD) outcomes when compared to other U.S. populations. The Duffy chemokine receptor is not expressed on erythrocytes in a large majority of Black adults, but the clinical implications of this are unclear. Methods: Here, we investigated the relationship of Duffy receptor status, high-sensitivity C-reactive protein (hs-CRP), and mortality and incident CVD events (coronary heart disease, stroke, and heart failure) in self-identified Black members of three contemporary, longitudinal cohort studies (the Women's Health Initiative, Jackson Heart Study, and Multi-Ethnic Study of Atherosclerosis). Data on 14,358 Black participants (9023 Duffy-null and 5335 Duffy-receptor-positive, as defined using single-nucleotide polymorphism (SNP) rs2814778) were included in this analysis. Results: Duffy null was strongly associated with higher hs-CRP (meta-analysis p = 2.62 × 10-9), but the association was largely attenuated, though still marginally significant (p = 0.005), after conditioning on known CRP locus alleles in linkage disequilibrium with the Duffy gene. In our discovery cohorts, Duffy-null status appeared to be associated with a higher risk of all-cause mortality and incident stroke, though these associations were attenuated and non-significant following adjustment for traditional risk factors including hs-CRP. Moreover, the association of Duffy-null status with mortality could not be replicated in an independent sample of Black adults from the UK Biobank. Conclusions: These findings suggest that the higher levels of hs-CRP found in Duffy-null individuals may be in part independent of CRP alleles known to influence circulating levels of hs-CRP. During the follow-up of this community-based sample of Black participants, Duffy-null status was not associated with mortality or incident CVD events independently of traditional risk factors including hs-CRP.
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Affiliation(s)
- Edward T. Ha
- Division of Cardiology, Department of Internal Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA; (M.B.); (M.A.P.); (S.J.P.)
| | - Jeffery Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; (J.H.); (C.K.)
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, The Lundquist Institute of Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA; (K.D.T.); (J.I.R.)
| | - Bjoernar Tuftin
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (B.T.); (L.M.R.)
| | - Matt Briggs
- Division of Cardiology, Department of Internal Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA; (M.B.); (M.A.P.); (S.J.P.)
| | - Manish A. Parikh
- Division of Cardiology, Department of Internal Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA; (M.B.); (M.A.P.); (S.J.P.)
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - Stephen J. Peterson
- Division of Cardiology, Department of Internal Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA; (M.B.); (M.A.P.); (S.J.P.)
- Department of Medicine, Weill Cornell Medical College, New York, NY 10065, USA
| | - Robert E. Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; (R.E.G.); (J.G.W.); (U.A.T.)
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - James G. Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; (R.E.G.); (J.G.W.); (U.A.T.)
| | - Karl Kelsey
- Department of Epidemiology and Pathology and Laboratory Medicine, Brown University, Providence, RI 02903, USA;
| | - Usman A. Tahir
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; (R.E.G.); (J.G.W.); (U.A.T.)
| | - Teresa Seeman
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA;
| | - Stephen S. Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA 22908, USA;
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA;
| | - Wendy S. Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; (J.H.); (C.K.)
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, The Lundquist Institute of Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA; (K.D.T.); (J.I.R.)
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (B.T.); (L.M.R.)
| | - Paul Auer
- Division of Biostatistics and Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI 53226, USA;
| | - Alex P. Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA;
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13
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Chlebowski RT, Aragaki AK, Pan K, Haque R, Rohan TE, Song M, Wactawski-Wende J, Lane DS, Harris HR, Strickler H, Kauntiz AM, Runowicz CD. Menopausal Hormone Therapy and Ovarian and Endometrial Cancers: Long-Term Follow-Up of the Women's Health Initiative Randomized Trials. J Clin Oncol 2024; 42:3537-3549. [PMID: 39173088 DOI: 10.1200/jco.23.01918] [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: 09/01/2023] [Revised: 04/18/2024] [Accepted: 05/21/2024] [Indexed: 08/24/2024] Open
Abstract
PURPOSE Menopausal hormone therapy's influence on ovarian and endometrial cancers remains unsettled. Therefore, we assessed the long-term influence of conjugated equine estrogen (CEE) plus medroxyprogesterone acetate (MPA) and CEE-alone on ovarian and endometrial cancer incidence and mortality in the Women's Health Initiative randomized, placebo-controlled clinical trials. MATERIALS AND METHODS Postmenopausal women, age 50-79 years, were entered on two randomized clinical trials evaluating different menopausal hormone therapy regimens. In 16,608 women with a uterus, 8,506 were randomly assigned to once daily 0.625 mg of CEE plus 2.5 mg once daily of MPA and 8,102 placebo. In 10,739 women with previous hysterectomy, 5,310 were randomly assigned to once daily 0.625 mg of CEE-alone and 5,429 placebo. Intervention was stopped for cause before planned 8.5-year intervention after 5.6 years (CEE plus MPA) and after 7.2 years (CEE-alone). Outcomes include incidence and mortality from ovarian and endometrial cancers and deaths after these cancers. RESULTS After 20-year follow-up, CEE-alone, versus placebo, significantly increased ovarian cancer incidence (35 cases [0.041%] v 17 [0.020%]; hazard ratio [HR], 2.04 [95% CI, 1.14 to 3.65]; P = .014) and ovarian cancer mortality (P = .006). By contrast, CEE plus MPA, versus placebo, did not increase ovarian cancer incidence (75 cases [0.051%] v 63 [0.045%]; HR, 1.14 [95% CI, 0.82 to 1.59]; P = .44) or ovarian cancer mortality but did significantly lower endometrial cancer incidence (106 cases [0.073%] v 140 [0.10%]; HR, 0.72 [95% CI, 0.56 to 0.92]; P = .01). CONCLUSION In randomized clinical trials, CEE-alone increased ovarian cancer incidence and ovarian cancer mortality, while CEE plus MPA did not. By contrast, CEE plus MPA significantly reduced endometrial cancer incidence.
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Affiliation(s)
| | - Aaron K Aragaki
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA
| | - Kathy Pan
- Kaiser Permanente Southern California, Downey, CA
| | - Reina Haque
- Department of Health Systems Science, Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, CA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Mihae Song
- Division of Gynecologic Oncology, Department of Surgery, City of Hope National Medical Center, Duarte, CA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY
| | - Dorothy S Lane
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY
- Department of Family, Population and Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY
| | - Holly R Harris
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA
| | - Howard Strickler
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Andrew M Kauntiz
- Department of Obstetrics & Gynecology, University of Florida College of Medicine-Jacksonville, Jacksonville, FL
| | - Carolyn D Runowicz
- Florida International University Herbert Wertheim College of Medicine, Miami, FL
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14
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Sullivan MC, Brewer PL, Roberts MB, Wild RA, Shadyab AH, Sealy-Jefferson S, Eaton CB. Intergenerational Occurrence of Premature Birth and Reproductive Health in Prematurely-Born Women in the Women's Health Initiative. Matern Child Health J 2024; 28:1793-1811. [PMID: 39192085 PMCID: PMC11420327 DOI: 10.1007/s10995-024-03980-w] [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] [Accepted: 07/25/2024] [Indexed: 08/29/2024]
Abstract
OBJECTIVE To compare reproductive history and postmenopausal health by birth status (preterm vs. full term) in a U.S. longitudinal study of postmenopausal women. Birth status was examined according to region of residence, household, and neighborhood socioeconomic status (SES). METHODS In the Women's Health Initiative Observational Study, 2271 women were born prematurely (< 37 weeks). ANOVA and Chi-square determined birth status differences of reproductive history, pregnancy, and postmenopausal health. Odds ratios were calculated using either binary logistic or multinomial logistic regression. SES and U.S. region of residence were examined as potential effect modifiers. RESULTS Preterm-born women compared to term-born women had higher risk of delivering a premature infant (aOR 1.68, 95% CI [1.46, 1.93]), higher odds of later-age first pregnancy (aOR 1.27 95% CI [1.02, 1.58]), longer duration to become pregnant (> 1 year to pregnancy) (aOR 1.10 95% CI [1.01, 1.21]), more miscarriages (aOR 1.23 95% CI [1.11, 1.37]), and more pregnancy complications including hypertension (aOR 1.58 95% CI (1.13, 2.21)], preeclampsia (aOR 1.64 95% CI [1.24, 2.16]), and gestational diabetes (aOR 1.68 95% CI [1.11, 2.53]). Preterm-born women had higher odds of menopause before age 50 (aOR 1.09 95% CI [1.05, 1.14]). Post-menopause, they had higher rates of diabetes (p = .01), hypertension (p = .01), hysterectomy (p = .045), and higher Charlson Comorbidity Index scores (p = .01). CONCLUSIONS Preterm-born women had higher reproductive and pregnancy risks which when coupled with early menopause, may indicate a shorter childbearing period than term-born women. Guidelines for integration of preterm history in women's health care across the life course are needed to identify and manage their higher risk.
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Affiliation(s)
- Mary C Sullivan
- College of Nursing, University of Rhode Island, Providence, RI, USA.
| | - Pamela L Brewer
- College of Nursing, University of Rhode Island, Providence, RI, USA
| | - Mary B Roberts
- Care New England Medical Group/Primary Care and Specialty Services, Center for Primary Care and Prevention, Pawtucket, RI, USA
| | - Robert A Wild
- Departments of Biostatistics and Epidemiology, Oklahoma City, OK, USA
- Obstetrics and Gynecology, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA, USA
| | | | - Charles B Eaton
- Department of Epidemiology, Brown University, Providence, RI, USA
- Department of Family Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
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15
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Risni HW, Khan A, Insani WN, Wei L, Brauer R. Cardiovascular risk of hormone replacement therapy in menopausal women with diabetes: a systematic review and meta-analysis of clinical trials and observational studies. Expert Opin Pharmacother 2024; 25:2089-2105. [PMID: 39387240 DOI: 10.1080/14656566.2024.2411442] [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: 07/30/2024] [Revised: 09/20/2024] [Accepted: 09/27/2024] [Indexed: 10/15/2024]
Abstract
INTRODUCTION Studies have shown the relative cardiovascular safety of hormone replacement therapy (HRT) for women in the general population. Evidence on women with diabetes remains scarce. We aimed to investigate the risk of cardiovascular disease (CVD) in menopausal women with diabetes who use HRT compared to non-users. METHODS Search across Medline, Embase, Web of Sciences, and Cochrane databases up to November 2023 was conducted. We combined keywords of menopause, diabetes, HRT, and various CVD outcomes. Non-English studies, observational studies other than cohort and case-control, reviews, and conference abstracts were excluded. Bias was checked using validated risk-of-bias tools. Random-effects model was used to calculate pooled relative risks (RR) for similar outcomes. RESULTS Out of 7625 identified articles, 19 (6 clinical trials and 13 observational studies) were included, primarily from Europe and the U.S.A. Most studies had moderate risk of bias. Meta-analysis of myocardial infarction (MI) risk from nine observational studies (n = ~34,626) showed a pooled RR of 0.83 (95% CI 0.62-1.12). Limited data precluded meta-analysis for the clinical trials and other outcomes from observational studies. CONCLUSIONS Observational studies do not suggest an increased risk of MI in menopausal women with diabetes prescribed HRT. Further research with a more robust method is warranted to validate this finding. PROSPERO REGISTRATION NUMBER CRD42023479335.
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Affiliation(s)
- Hindun Wilda Risni
- Research Department of Practice and Policy, University College London School of Pharmacy, London, UK
| | - Aaman Khan
- Research Department of Practice and Policy, University College London School of Pharmacy, London, UK
| | | | - Li Wei
- Research Department of Practice and Policy, University College London School of Pharmacy, London, UK
| | - Ruth Brauer
- Research Department of Practice and Policy, University College London School of Pharmacy, London, UK
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16
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Wadden E, Vasbinder A, Yogeswaran V, Shadyab AH, Saquib N, Sun Y, Warsinger Martin L, Mazhari R, Manson JE, Stefanick M, Barac A, Simon MS, Reding K, Cheng RK. Life's Essential 8 and Incident Cardiovascular Disease in U.S. Women With Breast Cancer. JACC CardioOncol 2024; 6:746-757. [PMID: 39479313 PMCID: PMC11520208 DOI: 10.1016/j.jaccao.2024.07.008] [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: 02/27/2024] [Revised: 07/10/2024] [Accepted: 07/12/2024] [Indexed: 11/02/2024] Open
Abstract
Background Relationships between lifestyle risk factors and cardiovascular disease (CVD) risk in women with breast cancer (BC) are underexplored. Objectives To evaluate the incidence of CVD in relation to the Life's Essential 8 (LE8) score among women with BC. Methods Data from the Women's Health Initiative were utilized. The primary exposure was the LE8 score assessed prior to BC diagnosis. The LE8 score was stratified into low (0-59), moderate (60-79), and high (80-100) cardiovascular health (CVH). The primary endpoint was a composite of incident CVD events, which included coronary heart disease, defined as myocardial infarction along with coronary revascularization, CVD death, and stroke. We calculated the cumulative incidence of CVD and estimated hazard ratios. Results Among 7,165 participants, the median age was 70.1 years at BC diagnosis. The mean LE8 score was 62.0 ± 12.2. Over a median follow-up period of 6 years, 490 composite CVD events occurred. The risk of CVD events was highest for low CVH compared with moderate and high CVH. Compared with low CVH, the hazard ratio for incident CVD was 0.57 (95% CI: 0.46-0.69) for moderate CVH and 0.34 (95% CI: 0.20-0.59) for high CVH. LE8, in conjunction with age, provided a C-statistic of 0.74 for the composite risk of CVD. Conclusions Higher LE8 scores were associated with a lower risk of incident CVD among women with BC in the United States.
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Affiliation(s)
- Elena Wadden
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Alexi Vasbinder
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, Washington, USA
| | | | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science and Division of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, University of California-San Diego, La Jolla, California, USA
| | - Nazmus Saquib
- College of Medicine, Sulaiman AlRajhi University, Al Bukayriyah, Saudi Arabia
| | - Yangbo Sun
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Lisa Warsinger Martin
- Division of Cardiology, George Washington University School of Medicine, Washington, DC, USA
| | - Ramesh Mazhari
- Division of Cardiology, George Washington University School of Medicine, Washington, DC, USA
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Marcia Stefanick
- Department of Medicine, Stanford University, Stanford, California, USA
| | - Ana Barac
- Inova Schar Heart and Vascular, Falls Church, Virginia, USA
- Inova Schar Cancer, Falls Church, Virginia, USA
| | - Michael S. Simon
- Karmanos Cancer Institute, Wayne State University, Detroit, Michigan, USA
| | - Kerryn Reding
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, Washington, USA
| | - Richard K. Cheng
- Division of Cardiology, University of Washington, Seattle, Washington, USA
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17
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Wesselink E, Gauderman W, Berndt SI, Brenner H, Buchanan DD, Campbell PT, Chan AT, Chang-Claude J, Cotterchoi M, Gunter MJ, Hoffmeister M, Joshi AD, Newton CC, Pai RK, Pellatt AJ, Phipps AI, Song M, Um CY, van Guelpen B, White E, Peters U, van Duijnhoven FJB. Calcium intake and genetic variants in the calcium sensing receptor in relation to colorectal cancer mortality: an international consortium study of 18,952 patients. BJC REPORTS 2024; 2:63. [PMID: 39233917 PMCID: PMC11368808 DOI: 10.1038/s44276-024-00077-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 06/24/2024] [Accepted: 07/02/2024] [Indexed: 09/06/2024]
Abstract
Background Research on calcium intake as well as variants in the calcium sensor receptor (CaSR) gene and their interaction in relation to CRC survival is still limited. Methods Data from 18,952 CRC patients, were included. Associations between primarily pre-diagnostic dietary (n = 13.085), supplemental (n = 11,837), total calcium intake (n = 5970) as well as 325 single nucleotide polymorphisms (SNPs) of the CaSR gene (n = 15,734) in relation to CRC-specific and all-cause mortality were assessed using Cox proportional hazard models. Also interactions between calcium intake and variants in the CaSR gene were assessed. Results During a median follow-up of 4.8 years (IQR 2.4-8.4), 6801 deaths occurred, of which 4194 related to CRC. For all-cause mortality, no associations were observed for the highest compared to the lowest sex- and study-specific quartile of dietary (HR 1.00, 95%CI 0.92-1.09), supplemental (HR 0.97, 95%CI 0.89-1.06) and total calcium intake (HR 0.99, 95%CI 0.88-1.11). No associations with CRC-specific mortality were observed either. Interactions were observed between supplemental calcium intake and several SNPs of the CaSR gene. Conclusion Calcium intake was not associated with all-cause or CRC-specific mortality in CRC patients. The association between supplemental calcium intake and all-cause and CRC-specific mortality may be modified by genetic variants in the CaSR gene.
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Affiliation(s)
- Evertine Wesselink
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - William Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, VIC Australia
- University of Melbourne Centre for Cancer Research, The University of Melbourne, Parkville, VIC Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC Australia
| | - Peter T. Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY USA
| | - Andrew T. Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
- Broad Institute of Harvard and MIT, Cambridge, MA USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Michelle Cotterchoi
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, ON Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON Canada
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
- Department of Epidemiology and Biostatistics School of Public Health Imperial College London, London, UK
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Amit D. Joshi
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA USA
| | - Christina C. Newton
- Department of Population Science, American Cancer Society, Atlanta, Georgia USA
| | - Rish K. Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ USA
| | - Andrew J. Pellatt
- Department of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Amanda I. Phipps
- Department of Epidemiology, University of Washington, Seattle, WA USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA USA
| | - Caroline Y. Um
- Department of Population Science, American Cancer Society, Atlanta, Georgia USA
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Emily White
- Department of Epidemiology, University of Washington, Seattle, WA USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Ulrike Peters
- Department of Epidemiology, University of Washington, Seattle, WA USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
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18
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Cuthbertson CC, Evenson KR, Wen F, Moore CC, Howard AG, Di C, Parada H, Matthews CE, Manson JE, Buring J, Shiroma EJ, LaCroix AZ, Lee IM. Associations of steps per day and step intensity with the risk of cancer: Findings from the Women's Health Accelerometry Collaboration cohort. Prev Med 2024; 186:108070. [PMID: 39029743 PMCID: PMC11338699 DOI: 10.1016/j.ypmed.2024.108070] [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: 01/30/2024] [Revised: 07/14/2024] [Accepted: 07/15/2024] [Indexed: 07/21/2024]
Abstract
OBJECTIVE Accumulating more steps/day is associated with a lower risk of cancer mortality and composite cancer outcomes. However, less is known about the relationship of steps/day with the risk of multiple site-specific cancers. METHODS This study included >22,000 women from the Women's Health Accelerometry Collaboration Cohort (2011-2022), comprised of women from the Women's Health Study and Women's Health Initiative Objective Physical Activity and Cardiovascular Health Study. Steps/day and step intensity were collected with accelerometry. Incident cancer cases and deaths were adjudicated. Stratified Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of the associations of steps/day and step intensity with incident breast, colon, endometrial, lung, and ovarian cancers, a composite of 13 physical activity-related cancers, total invasive cancer, and fatal cancer. RESULTS On average, women were 73.4 years old, accumulated 4993 steps/day, and had 7.9 years of follow-up. There were small nonsignificant inverse associations with the risks of colon cancer (HR = 0.94, 95% CI: 0.83, 1.05), endometrial cancer (HR = 0.91, 95% CI: 0.82, 1.01), and fatal cancer (HR = 0.95 95% CI: 0.90, 1.00) per 1000 steps/day. More minutes at ≥40 steps/min and a faster peak 10- and 30-min step cadence were associated with a lower risk of endometrial cancer, but findings were attenuated after adjustment for body mass index and steps/day. CONCLUSIONS Among women 62-97 years, there were small nonsignificant inverse associations of colon, endometrial, and fatal cancer with more steps/day. Epidemiologic studies with longer follow-up and updated assessments are needed to further explore these associations.
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Affiliation(s)
- Carmen C Cuthbertson
- Department of Health Education and Promotion, East Carolina University, Greenville, NC, United States of America.
| | - Kelly R Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Fang Wen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Christopher C Moore
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Annie G Howard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States of America
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, United States of America
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, National Cancer Institute, Bethesda, MD, United States of America
| | - JoAnn E Manson
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Julie Buring
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Eric J Shiroma
- Division of Cardiovascular Sciences, National Heart Lung Blood Institute, Bethesda, MD, United States of America
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, United States of America
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
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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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Schumacher BT, LaMonte MJ, Di C, Parada H, Hooker SP, Bellettiere J, Simonsick EM, Liles S, LaCroix AZ. Associations of Relative Intensity of Physical Activity With Incident Cardiovascular Events and All-Cause Mortality. J Gerontol A Biol Sci Med Sci 2024; 79:glae113. [PMID: 38699999 PMCID: PMC11212487 DOI: 10.1093/gerona/glae113] [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: 09/06/2023] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND The relative intensity of physical activity (PA) can be estimated as the percent of one's maximal effort required. METHODS We compared associations of relative and absolute intensity PA with incident major cardiovascular disease (CVD) and all-cause mortality in 5 633 women from the Objective Physical Activity and Cardiovascular Health Study (mean age 78.5 ± 6.7). Absolute intensity was measured by accelerometry. Relative intensity was estimated by dividing accelerometer-estimated metabolic equivalents (METs) by maximal MET capacity. Both were aggregated into mean daily hours of light intensity PA (LPA) and moderate-to-vigorous PA (MVPA). Cox proportional hazard models estimated hazard ratios (HRs) for 1-hour higher amounts of PA on outcomes. RESULTS During follow-up (median = 7.4 years), there were 748 incident CVD events and 1 312 deaths. Greater LPA and MVPA, on either scale, were associated with reduced risk of both outcomes. HRs for a 1-hour increment of absolute LPA were 0.88 (95% CI: 0.83-0.93) and 0.88 (95% CI: 0.84-0.92) for incident CVD and mortality, respectively. HRs for a 1-hour increment of absolute MPVA were 0.73 (95% CI: 0.61-0.87) and 0.55 (95% CI: 0.48-0.64) for the same outcomes. HRs for a 1-hour increment of relative LPA were 0.70 (95% CI: 0.59-0.84) and 0.78 (95% CI: 0.68-0.89) for incident CVD and mortality, respectively. HRs for a 1-hour increment of relative MPVA were 0.89 (95% CI: 0.83-0.96) and 0.82 (95% CI: 0.77-0.87) for the same outcomes. On the relative scale, LPA was more strongly, and inversely associated with both outcomes than relative MVPA. Absolute MVPA was more strongly inversely associated with the outcomes than relative MVPA. CONCLUSIONS Findings support the continued shift in the PA intensity paradigm toward recommendation of more movement, regardless of intensity. Relative LPA--a modifiable, more easily achieved behavioral target, particularly among ambulatory older adults--was associated with reduced risk of incident major CVD and death.
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Affiliation(s)
- Benjamin T Schumacher
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo–SUNY, Buffalo, New York, USA
| | - Chongzhi Di
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, California, USA
- UCSD Moores Cancer Center, La Jolla, California, USA
| | - Steven P Hooker
- College of Health and Human Services, San Diego State University, San Diego, California, USA
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Eleanor M Simonsick
- Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Sandy Liles
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
- School of Public Health, San Diego State University, San Diego, California, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
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21
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Greywoode R, Larson J, Peraza J, Clark R, Allison MA, Chaudhry NA, Schnatz PF, Shadyab AH, Wallace RB, Wassertheil-Smoller S. Risk of Adverse Cardiovascular Outcomes in Postmenopausal Women with Inflammatory Bowel Disease. Dig Dis Sci 2024; 69:2586-2594. [PMID: 38684633 PMCID: PMC11258184 DOI: 10.1007/s10620-024-08348-2] [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: 06/28/2023] [Accepted: 02/08/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND Individuals with inflammatory bowel disease (IBD) who lack traditional cardiovascular disease (CVD) risk factors, such as young females, are observed to experience adverse CVD outcomes. Whether women with IBD have increased CVD risk after the menopause transition is unclear. METHODS We conducted a survival analysis of Women's Health Initiative (WHI) participants and excluded those with missing IBD diagnosis, model covariate data, follow-up data, or a baseline history of the following CVD outcomes: coronary heart disease (CHD), ischemic stroke, venous thromboembolism (VTE), peripheral arterial disease (PAD). Risk of outcomes between IBD and non-IBD women was performed using Cox proportional hazard models, stratified by WHI trial and follow-up. Models were adjusted for age, socio-demographics, comorbidities (e.g., hypertension, diabetes, hypercholesterolemia, etc.), family history, and lifestyle factors (e.g., smoking, alcohol, physical activity, body mass index, etc.). RESULTS Of 134,022 WHI participants meeting inclusion criteria, 1367 (1.0%) reported IBD at baseline. Mean baseline age was 63.4 years. After adjusting for age and other confounders, no significant difference was observed between IBD and non-IBD women for the risk of CHD (HR 0.96, 95% CI 0.73-1.24), VTE (HR 1.11, 95% CI 0.81-1.52) or PAD (HR 0.64, 95% CI 0.28-1.42). After adjusting for age, risk of ischemic stroke was significantly higher (HR 1.41, 95% CI 1.06-1.88) in IBD than non-IBD women. With further adjustment, the excess risk of ischemic stroke among IBD women was attenuated and no longer statistically significant (HR 1.31, 95% CI 0.98-1.76). CONCLUSIONS Among postmenopausal women with IBD, risk of ischemic stroke may be higher than in non-IBD women.
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Affiliation(s)
- Ruby Greywoode
- Division of Gastroenterology, Montefiore Medical Center/Albert Einstein College of Medicine, 111 East 210th St, Bronx, NY, 10467, USA.
| | - Joseph Larson
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jellyana Peraza
- Department of Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Rachel Clark
- Department of Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Matthew A Allison
- Department of Family Medicine, University of California San Diego, La Jolla, CA, USA
| | | | - Peter F Schnatz
- Department of Obstetrics Gynecology & Internal Medicine, Reading Hospital / Tower Health & Drexel University, West Reading, PA, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Robert B Wallace
- Professor Emeritus of Epidemiology and Internal Medicine, University of Iowa, Iowa City, IA, USA
| | - Sylvia Wassertheil-Smoller
- Distinguished University Professor Emerita, Department of Epidemiology & Population Health Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA
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22
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Gonzalo-Encabo P, Vasbinder A, Bea JW, Reding KW, Laddu D, LaMonte MJ, Stefanick ML, Kroenke CH, Jung SY, Shadyab AH, Naughton MJ, Patel MI, Luo J, Banack HR, Sun Y, Simon MS, Dieli-Conwright CM. Low physical function following cancer diagnosis is associated with higher mortality risk in postmenopausal women. J Natl Cancer Inst 2024; 116:1035-1042. [PMID: 38449287 PMCID: PMC11223816 DOI: 10.1093/jnci/djae055] [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: 11/21/2023] [Revised: 01/22/2024] [Accepted: 02/18/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Postmenopausal women with cancer experience an accelerated physical dysfunction beyond what is expected through aging alone due to cancer and its treatments. The aim of this study was to determine whether declines in physical function after cancer diagnosis are associated with all-cause mortality and cancer-specific mortality. METHODS This prospective cohort study included 8068 postmenopausal women enrolled in the Women's Health Initiative with a cancer diagnosis and who had physical function assessed within 1 year of that diagnosis. Self-reported physical function was measured using the 10-item physical function subscale of the 36-Item Short Form Health Survey. Cause of death was determined by medical record review, with central adjudication and linkage to the National Death Index. Death was adjudicated through February 2022. RESULTS Over a median follow-up of 7.7 years from cancer diagnosis, 3316 (41.1%) women died. Our results showed that for every 10% difference in the physical function score after cancer diagnosis versus pre-diagnosis, all-cause mortality and cancer-specific mortality were reduced by 12% (hazard ratio [HR] = 0.88, 95% confidence interval [95% CI] = 0.87 to 0.89 and HR = 0.88, 95% CI = 0.86 to 0.91, respectively). Further categorical analyses showed a significant dose-response relationship between postdiagnosis physical function categories and mortality outcomes (P < .001 for trend), where the median survival time for women in the lowest physical function quartile was 9.1 years (Interquartile range [IQR] = 8.6-10.6 years) compared with 18.4 years (IQR = 15.8-22.0 years) for women in the highest physical function quartile. CONCLUSION Postmenopausal women with low physical function after cancer diagnosis may be at higher risk of mortality from all causes and cancer-related mortality.
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Affiliation(s)
- Paola Gonzalo-Encabo
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Facultad de Medicina y Ciencias de la Salud, Departamento de Ciencias Biomédicas, Área de Educación Física y Deportiva, Universidad de Alcalá, Madrid, Spain
| | - Alexi Vasbinder
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Jennifer W Bea
- Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Kerryn W Reding
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Deepika Laddu
- Arbor Research Collaborative for Health, Ann Arbor, MI, USA
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA
| | - Marcia L Stefanick
- Stanford Medicine, Stanford Prevention Research Center, Stanford University, CA, USA
| | - Candyce H Kroenke
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
- Kaiser Permanente School of Medicine, Pasadena, CA, USA
| | - Su Yon Jung
- Department of Epidemiology, Fielding School of Public Health, Translational Sciences Section, School of Nursing, Jonsson Comprehensive Cancer Center, University of California Lost Angeles, Los Angeles, CA, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Michelle J Naughton
- Division of Cancer Prevention & Control, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Manali I Patel
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA
| | - Hailey R Banack
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Yangbo Sun
- Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Michael S Simon
- Department of Oncology, Karmanos Cancer Institute at Wayne State University, Detroit, MI, USA
| | - Christina M Dieli-Conwright
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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23
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Crandall CJ, Larson J, Shadyab AH, LeBoff MS, Wactawski-Wende J, Weitlauf JC, Saquib N, Cauley JA, Saquib J, Ensrud KE. Physical function trajectory after wrist or lower arm fracture in postmenopausal women: results from the Women's Health Initiative Study. Osteoporos Int 2024; 35:1029-1040. [PMID: 38459975 PMCID: PMC11136816 DOI: 10.1007/s00198-024-07050-3] [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: 09/20/2023] [Accepted: 02/27/2024] [Indexed: 03/11/2024]
Abstract
Long-term physical functioning trajectories following distal forearm fracture are unknown. We found that women with versus those without distal forearm fracture were more likely to experience a 5-year decline in physical functioning, independent of initial physical functioning level. This association was most evident among women 80 years and older. INTRODUCTION Physical functioning trajectory following lower arm or wrist fracture is not well understood. PURPOSE This study is to evaluate physical functioning trajectory before vs. after lower arm or wrist fracture, stratified by age. METHODS We performed a nested case-control study of prospective data from the Women's Health Initiative Study (n = 2097 cases with lower arm or wrist fracture, 20,970 controls). Self-reported fractures and the physical functioning subscale of the RAND 36-item Short-Form Health Survey were assessed annually. We examined three physical functioning trajectory groups: stable, improving, and declining. RESULTS Mean (SD) number of physical functioning measurements was 5.2 (1.5) for cases and 5.0 (1.4) for controls. Declining physical functioning was observed among 20.4% of cases and 16.0% of controls. Compared to women without lower arm or wrist fracture, women with lower arm or wrist fracture were 33% more likely to experience declining physical functioning (adjusted odds ratio [aOR] 1.33 95% confidence interval [CI] 1.19-1.49, reference group stable or improving physical functioning trajectory). Associations varied by age: age ≥ 80 years aOR 1.56 (95% CI 1.29-1.88); age 70-79 years aOR 1.29 (95% CI 1.09-1.52); age < 70 years aOR 1.15 (95% CI 0.86-1.53) (pinteraction = 0.06). Associations between lower arm or wrist fracture and odds of declining physical functioning did not vary by baseline physical functioning or physical activity level. CONCLUSIONS Women with lower arm or wrist fracture, particularly those aged 80 and older, were more likely to experience declines in physical functioning than women without such fractures, independent of baseline physical functioning level.
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Affiliation(s)
- Carolyn J Crandall
- Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine at University of California, 1100 Glendon Ave. Suite 850 - Room 858, Los Angeles, 90024, USA.
| | - Joseph Larson
- Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, San Diego, CA, USA
| | - Meryl S LeBoff
- Endocrine, Diabetes and Hypertension Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo State University of New York, Buffalo, NY, USA
| | - Julie C Weitlauf
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences at Stanford University, Stanford, CA, USA
| | - Nazmus Saquib
- Department of Clinical Sciences, College of Medicine, Sulaiman AlRajhi University, PO Box 777, Bukariyah, AlQassim, Saudi Arabia
| | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Juliann Saquib
- Department of Clinical Sciences, College of Medicine, Sulaiman AlRajhi University, PO Box 777, Bukariyah, AlQassim, Saudi Arabia
| | - Kristine E Ensrud
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, USA
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24
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Loroña NC, Santiago-Torres M, Lopez-Pentecost M, Garcia L, Shadyab AH, Sun Y, Kroenke CH, Snetselaar LG, Stefanick ML, Neuhouser ML. Traditional Mexican dietary pattern and cancer risk among women of Mexican descent. Cancer Causes Control 2024; 35:887-896. [PMID: 38305935 PMCID: PMC11129927 DOI: 10.1007/s10552-024-01849-5] [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: 10/05/2023] [Accepted: 01/05/2024] [Indexed: 02/03/2024]
Abstract
PURPOSE To examine the association of a traditional Mexican diet score with risk of total, breast, and colorectal cancer among women of Mexican ethnic descent in the Women's Health Initiative (WHI). METHODS Participants were WHI enrollees who self-identified as being of Mexican descent. Data from food frequency questionnaires self-administered at study baseline were used to calculate the MexD score, with higher scores indicating greater adherence to an a priori-defined traditional Mexican diet (high in dietary fiber, vegetables, and legumes). Incident cancers were self-reported by participants from 1993 to 2020 and adjudicated by trained physicians. We used multivariable-adjusted Cox proportional hazards models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Among 2,343 Mexican descent women (median baseline age: 59 years), a total of 270 cancers (88 breast, 37 colorectal) occurred during a mean follow-up of 14.4 years. The highest tertile of MexD score was associated with a lower risk of all-cancer incidence (HR: 0.67; 95% CI 0.49-0.91; p-trend: 0.01) and colorectal cancer (HR: 0.38; 95% CI 0.14-0.998; p-trend < 0.05), with each unit increase in the MexD score associated with a 6% lower risk of all-cancer incidence (HR: 0.94; 95% CI 0.88-0.99). There was no statistically significant association with risk of breast cancer. CONCLUSION Consumption of a traditional Mexican diet was associated with a significantly lower risk of all-cancer incidence and colorectal cancer. Confirmation of these findings in future studies is important, given the prevalence of colorectal cancer and a growing U.S. population of women of Mexican descent.
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Affiliation(s)
- Nicole C Loroña
- Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
| | | | - Melissa Lopez-Pentecost
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Lorena Garcia
- Department of Public Health Sciences, Division of Epidemiology, UC Davis School of Medicine, Davis, CA, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Yangbo Sun
- The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Candyce H Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Linda G Snetselaar
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Marcia L Stefanick
- Department of Medicine (Stanford Prevention Research Center), Stanford University School of Medicine, Stanford, CA, USA
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25
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Manson JE, Crandall CJ, Rossouw JE, Chlebowski RT, Anderson GL, Stefanick ML, Aragaki AK, Cauley JA, Wells GL, LaCroix AZ, Thomson CA, Neuhouser ML, Van Horn L, Kooperberg C, Howard BV, Tinker LF, Wactawski-Wende J, Shumaker SA, Prentice RL. The Women's Health Initiative Randomized Trials and Clinical Practice: A Review. JAMA 2024; 331:1748-1760. [PMID: 38691368 DOI: 10.1001/jama.2024.6542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Importance Approximately 55 million people in the US and approximately 1.1 billion people worldwide are postmenopausal women. To inform clinical practice about the health effects of menopausal hormone therapy, calcium plus vitamin D supplementation, and a low-fat dietary pattern, the Women's Health Initiative (WHI) enrolled 161 808 postmenopausal US women (N = 68 132 in the clinical trials) aged 50 to 79 years at baseline from 1993 to 1998, and followed them up for up to 20 years. Observations The WHI clinical trial results do not support hormone therapy with oral conjugated equine estrogens plus medroxyprogesterone acetate for postmenopausal women or conjugated equine estrogens alone for those with prior hysterectomy to prevent cardiovascular disease, dementia, or other chronic diseases. However, hormone therapy is effective for treating moderate to severe vasomotor and other menopausal symptoms. These benefits of hormone therapy in early menopause, combined with lower rates of adverse effects of hormone therapy in early compared with later menopause, support initiation of hormone therapy before age 60 years for women without contraindications to hormone therapy who have bothersome menopausal symptoms. The WHI results do not support routinely recommending calcium plus vitamin D supplementation for fracture prevention in all postmenopausal women. However, calcium and vitamin D are appropriate for women who do not meet national guidelines for recommended intakes of these nutrients through diet. A low-fat dietary pattern with increased fruit, vegetable, and grain consumption did not prevent the primary outcomes of breast or colorectal cancer but was associated with lower rates of the secondary outcome of breast cancer mortality during long-term follow-up. Conclusions and Relevance For postmenopausal women, the WHI randomized clinical trials do not support menopausal hormone therapy to prevent cardiovascular disease or other chronic diseases. Menopausal hormone therapy is appropriate to treat bothersome vasomotor symptoms among women in early menopause, without contraindications, who are interested in taking hormone therapy. The WHI evidence does not support routine supplementation with calcium plus vitamin D for menopausal women to prevent fractures or a low-fat diet with increased fruits, vegetables, and grains to prevent breast or colorectal cancer. A potential role of a low-fat dietary pattern in reducing breast cancer mortality, a secondary outcome, warrants further study.
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Affiliation(s)
- JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Carolyn J Crandall
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
| | - Jacques E Rossouw
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Rowan T Chlebowski
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Garnet L Anderson
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Marcia L Stefanick
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California
| | - Aaron K Aragaki
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Jane A Cauley
- Department of Epidemiology, University of Pittsburgh School of Public Health|Epidemiology, Pittsburgh, Pennsylvania
| | | | - Andrea Z LaCroix
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California
| | - Cynthia A Thomson
- Department of Health Promotion Science, University of Arizona, Tucson
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Barbara V Howard
- MedStar Health Research Institute and Department of Medicine, Georgetown University School of Medicine, Washington, DC
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo-SUNY, Buffalo, New York
| | - Sally A Shumaker
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington
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26
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Haring B, Andrews CA, Hovey K, Shadyab AH, LaCroix A, Martin LW, Rosal MC, Kuller LH, Salmoirago-Blotcher E, Saquib N, Koo P, Laddu D, Stefanick ML, Manson JE, Wassertheil-Smoller S, LaMonte MJ. Systolic Blood Pressure and Survival to Very Old Age: Results From the Women's Health Initiative. Circulation 2024; 149:1568-1577. [PMID: 38623761 DOI: 10.1161/circulationaha.123.067302] [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: 10/01/2023] [Accepted: 03/19/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND The relationship between systolic blood pressure (SBP) and longevity is not fully understood. We aimed to determine which SBP levels in women ≥65 years of age with or without blood pressure medication were associated with the highest probability of surviving to 90 years of age. METHODS The study population consisted of 16 570 participants enrolled in the Women's Health Initiative who were eligible to survive to 90 years of age by February 28, 2020, without a history of cardiovascular disease, diabetes, or cancer. Blood pressure was measured at baseline (1993 through 1998) and then annually through 2005. The outcome was defined as survival to 90 years of age with follow-up. Absolute probabilities of surviving to 90 years of age were estimated for all combinations of SBP and age using generalized additive logistic regression modeling. The SBP that maximized survival was estimated for each age, and a 95% CI was generated. RESULTS During a median follow-up of 19.8 years, 9723 of 16 570 women (59%) survived to 90 years of age. Women with an SBP between 110 and 130 mm Hg at attained ages of 65, 70, 75, and 80 years had a 38% (95% CI, 34%-48%), 54% (52%-56%), 66% (64%-67%), or 75% (73%-78%) absolute probability to survive to 90 years of age, respectively. The probability of surviving to 90 years of age was lower for greater SBP levels. Women at the attained age of 80 years with 0%, 20%, 40%, 60%, 80%, or 100% time in therapeutic range (defined as an SBP between 110 and 130 mm Hg) had a 66% (64%-69%), 68% (67%-70%), 71% (69%-72%), 73% (71%-74%), 75% (72%-77%), or 77% (74%-79%) absolute survival probability to 90 years of age. CONCLUSIONS For women >65 years of age with low cardiovascular disease and other chronic disease risk, an SBP level <130 mm Hg was found to be associated with longevity. These findings reinforce current guidelines targeting an SBP target <130 mm Hg in older women.
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Affiliation(s)
- Bernhard Haring
- Department of Medicine III, Saarland University, Homburg, Germany (B.H.)
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (B.H., S.W.-S.)
| | - Chris A Andrews
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, NY (C.A.A., K.H., M.J.L.)
| | - Kathleen Hovey
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, NY (C.A.A., K.H., M.J.L.)
| | - Aladdin H Shadyab
- Division of Geriatrics, Gerontology, and Palliative Care, Department of Medicine (A.H.S.), University of California, San Diego, La Jolla
- Herbert Wertheim School of Public Health and Human Longevity Science (A.H.S., A.L.), University of California, San Diego, La Jolla
| | - Andrea LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science (A.H.S., A.L.), University of California, San Diego, La Jolla
| | - Lisa Warsinger Martin
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.)
| | - Milagros C Rosal
- Division of Preventive and Behavioral Medicine, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester (M.C.R.)
| | - Lewis H Kuller
- Department of Epidemiology, University of Pittsburgh, PA (L.H.K.)
| | | | - Nazmus Saquib
- College of Medicine, Sulaiman AlRajhi University, Saudi Arabia (N.S.)
| | - Patrick Koo
- Department of Pulmonary, Critical Care, and Sleep Medicine, Baroness Erlanger Hospital, University of Tennessee College of Medicine Chattanooga (P.K.)
| | - Deepika Laddu
- Department of Physical Therapy, College of Applied Health Sciences, University of Illinois at Chicago (D.L.)
| | - Marcia L Stefanick
- Department of Medicine, Stanford University Medical Center, Palo Alto, CA (M.L.S.)
- Departments of Obstetrics and Gynecology, Stanford University, Palo Alto, CA (M.L.S.)
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.)
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (B.H., S.W.-S.)
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, Buffalo, NY (C.A.A., K.H., M.J.L.)
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27
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Prentice RL, Aragaki AK, Zheng C, Manson JE, Tinker LF, Ravelli MN, Mossavar-Rahmani Y, Wallace RB, Tooze JA, Johnson KC, Lampe JW, Neuhouser ML, Schoeller DA. Biomarker-assessed total energy intake and its cohort study association with all-cause mortality in postmenopausal females. Am J Clin Nutr 2024; 119:1329-1337. [PMID: 38428741 PMCID: PMC11130702 DOI: 10.1016/j.ajcnut.2024.02.020] [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: 09/29/2023] [Revised: 02/20/2024] [Accepted: 02/23/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND The association of total energy intake (EI) with all-cause mortality is uncertain as are the dependencies of this association on age and weight change history. OBJECTIVES To identify an EI biomarker suitable for use in epidemiologic association studies and to study EI associations with total mortality in a Women's Health Initiative (WHI) cohort of postmenopausal United States females (1993-present). METHODS EI biomarkers were developed based on doubly labeled water (DLW) total energy expenditure (TEE) and weight variation during the 2-wk DLW protocol period using the energy balance method in an embedded feeding study (n = 153). This along with 2 earlier WHI nutrition biomarker studies having TEE assessments (n = 1131 total), with 14.6 y (median) follow-up, constituted a prospective cohort for the study of EI and all-cause mortality. RESULTS An empirical biomarker for log(EI) was developed that had a correlation of 0.73 with log(feeding study-consumed EI). The overall association between EI and mortality was nonsignificant. The association, however, depended on age (P = 0.009), with lower EI associated with lower mortality at younger ages, and also on preceding weight change history (P = 0.03). Among participants with stable or increasing weight, mortality hazard ratios (95% confidence intervals [CIs]) for a 12% lower EI were 0.66 (95% CI: 0.51, 0.87) at age 60, 0.84 (95% CI: 0.72, 0.98) at age 70, and 1.06 (95% CI: 0.87, 1.29) at age 80. Corresponding values for participants having preceding weight loss were 0.83 (95% CI: 0.61, 1.12) at age 60, 1.05 (95% CI: 0.87, 1.26) at age 70, and 1.33 (95% CI: 1.08, 1.63) at age 80. A previously considered EI biomarker, using a theoretical model for variation in body fat and fat-free mass components over time, gave similar results following rescaling. CONCLUSIONS Lower EI is associated with lower all-cause mortality among younger postmenopausal females with stable or increasing weight and with higher mortality among older females with weight loss. This study was registered with clinicaltrials.gov as NCT00000611.
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Affiliation(s)
- Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States.
| | - Aaron K Aragaki
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Cheng Zheng
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, United States
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Michele N Ravelli
- Biotech Center and Neurology, University of Wisconsin, Madison, WI, United States
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Robert B Wallace
- College of Public Health, University of Iowa, Iowa City, IA, United States
| | - Janet A Tooze
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Karen C Johnson
- Department of Preventive Medicine, University of Tennessee Health Center, Memphis TN, United States
| | - Johanna W Lampe
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States
| | - Dale A Schoeller
- Biotech Center and Nutritional Sciences, University of Wisconsin, Madison WI, United States
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Luo J, Hendryx M, Rohan TE, Saquib N, Shadyab AH, Su L, Hosgood D, Schnatz PF, Qi L, Anderson GL. Hysterectomy, oophorectomy and risk of non-Hodgkin's lymphoma. Int J Cancer 2024; 154:1433-1442. [PMID: 38112671 PMCID: PMC10922604 DOI: 10.1002/ijc.34820] [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: 09/21/2023] [Revised: 11/16/2023] [Accepted: 11/24/2023] [Indexed: 12/21/2023]
Abstract
Hysterectomy is associated with an increased risk for adverse health outcomes. However, its connection to the risk of non-Hodgkin's lymphoma (NHL) remains unclear. The aims of our study were to investigate the associations between hysterectomy, oophorectomy and risk of NHL and its major subtypes (eg, diffuse large B-cell lymphoma [DLBCL]), and whether these associations were modified by exogenous hormone use. Postmenopausal women (n = 141,621) aged 50-79 years at enrollment (1993-1998) from the Women's Health Initiative were followed for an average of 17.2 years. Hysterectomy and oophorectomy were self-reported at baseline. Incident NHL cases were confirmed by central review of medical records and pathology reports. During the follow-up period, a total of 1719 women were diagnosed with NHL. Hysterectomy, regardless of oophorectomy status, was associated with an increased risk of NHL (hazard ratio [HR] = 1.23, 95% confidence interval [CI]: 1.05-1.44). Oophorectomy was not independently associated with NHL risk after adjusting for hysterectomy. When stratified by hormone use, the association between hysterectomy and NHL risk was confined to women who had never used hormone therapy (HR = 1.35, 95% CI: 1.06-1.71), especially for DLBCL subtype (P for interaction = .01), and to those who had undergone hysterectomy before the age of 55. Our large prospective study showed that hysterectomy was a risk factor of NHL. Findings varied by hormone use. Future studies incorporating detailed information on the types and indications of hysterectomy may deepen our understanding of the mechanisms underlying DLBCL development and its potential interactions with hormone use.
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Affiliation(s)
- Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN
| | - Michael Hendryx
- Department of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN
| | - Thomas E Rohan
- Epidemiology & Population Health, Albert Einstein College of Medicine. Bronx, NY
| | - Nazmus Saquib
- College of Medicine, Sulaiman AlRajhi University, Al Bukairiyah, Kingdom of Saudi Arabia
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Le Su
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN
| | - Dean Hosgood
- Epidemiology & Population Health, Albert Einstein College of Medicine. Bronx, NY
| | - Peter F. Schnatz
- Department of Obstetrics & Gynecology and Internal Medicine, Drexel University, West Reading, PA
| | - Lihong Qi
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA
| | - Garnet L Anderson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N., PO Box 19024, Seattle, WA
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Schilsky S, Green Howard A, Moore CC, Cuthbertson CC, Parada H, Lee IM, Di C, LaMonte MJ, Buring JE, Shiroma EJ, LaCroix AZ, Evenson KR. Correlates of physical activity and sedentary behavior among cancer survivors and cancer-free women: The Women's Health Accelerometry Collaboration. PLoS One 2024; 19:e0301233. [PMID: 38573893 PMCID: PMC10994363 DOI: 10.1371/journal.pone.0301233] [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: 06/11/2023] [Accepted: 03/12/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Describing correlates of physical activity (PA) and sedentary behavior (SB) among postmenopausal cancer survivors can help identify risk profiles and can be used to support development of targeted interventions to improve PA and reduce SB in this population. OBJECTIVE To describe PA/SB and identify correlates of PA/SB among cancer and cancer-free post-menopausal women. METHODS Women from the Women's Health Study (N = 16,629) and Women's Health Initiative/Objective Physical Activity and Cardiovascular Health Study (N = 6,079) were asked to wear an accelerometer on the hip for 7 days. Multiple mixed-effects linear regression models were used to identify sociodemographic-, health-, and chronic condition-related correlates (independent variables) associated with PA and SB (dependent variables) among women with (n = 2,554) and without (n = 20,154) a history of cancer. All correlates were mutually adjusted for each other. RESULTS In unadjusted analyses, women with a history of cancer took fewer mean daily steps (4,572 (standard deviation 2557) vs 5,029 (2679) steps/day) and had lower mean moderate-to-vigorous PA (74.9 (45.0) vs. 81.6 (46.7) minutes/day) than cancer-free women. In adjusted analyses, for cancer and cancer-free women, age, diabetes, overweight, and obesity were inversely associated with all metrics of PA (average vector magnitude, time in moderate-to-vigorous PA, step volume, time at ≥40 steps/minutes, and peak 30-minute step cadence). In unadjusted analyses, mean SB was similar for those with and without cancer (529.7 (98.1) vs. 521.7 (101.2) minutes/day). In adjusted analyses, for cancer and cancer-free women, age, diabetes, cardiovascular disease, current smoking, overweight, and obesity were positive correlates of SB, while Black or Hispanic race/ethnicity, weekly/daily alcohol intake, and excellent/very good/good self-rated health were inverse correlates of SB. CONCLUSION Several sociodemographic, health, and chronic conditions were correlates of PA/SB for postmenopausal women with and without cancer. Future studies should examine longitudinal relationships to gain insight into potential determinants of PA/SB.
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Affiliation(s)
- Samantha Schilsky
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Annie Green Howard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
- Carolina Population Center, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Christopher C. Moore
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Carmen C. Cuthbertson
- Department of Health Education and Promotion, East Carolina University, Greenville, North Carolina, United States of America
| | - Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, California, United States of America
- UC San Diego Health Moores Cancer Center, La Jolla, California, United States of America
| | - I-Min Lee
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Chongzhi Di
- Biostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, University of Buffalo, Buffalo, New York, United States of America
| | - Julie E. Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Eric J. Shiroma
- Clinical Applications and Prevention Branch, National Institutes of Health, National Heart Lung Blood Institute, Bethesda, Maryland, United States of America
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, United States of America
| | - Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
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Thai NQN, LaCroix AZ, Haring B, Wactawski-Wende J, Manson JE, Posis AIB, Shadyab AH. The association of leukocyte telomere length with exceptional longevity among older women. GeroScience 2024; 46:2083-2092. [PMID: 37843740 PMCID: PMC10828273 DOI: 10.1007/s11357-023-00964-6] [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: 04/25/2023] [Accepted: 09/25/2023] [Indexed: 10/17/2023] Open
Abstract
The association of leukocyte telomere length (LTL) with survival to late life with intact mobility has not been adequately studied. This prospective cohort study consisted of 1451 postmenopausal women from a Women's Health Initiative ancillary study, who were eligible, because of birth year, to survive to age 90 as of March 6, 2021. LTL was measured by Southern blot at baseline (1993-1998). Associations between LTL and survival to age 90 were evaluated using logistic regression models adjusted for socio-demographic characteristics, health factors, and lifestyle factors. Multinominal logistic regression was utilized to examine associations of LTL with survival to age 90 with or without intact mobility. Mediation analysis examined the extent to which incident coronary heart disease and stroke-mediated the association between LTL and longevity. Overall, 76.7% of women were White, and 23.3% were Black; average age at baseline was 70.4±3.5 years. Relative to death before age 90, the odds of survival to age 90 were 60% higher (OR, 1.60; 95% CI, 1.28-2.01), the odds of survival to age 90 with mobility limitation were 72% higher (OR, 1.72; 95% CI, 1.33-2.21), and the odds of survival to age 90 with intact mobility were 44% higher (OR, 1.44; 95% CI, 1.06-1.95) for every one kilobase longer LTL. Absence of CHD, stroke, or CHD/stroke mediated the association of LTL with survival to age 90 by 11.1%, 37.4%, and 31.3%, respectively; however, these findings were not significant. Longer LTL was associated with higher odds of survival to age 90 among older women.
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Affiliation(s)
- Nhat Quang N Thai
- UCSD-SDSU Joint-Doctoral Program in Public Health (Epidemiology), University of California, San Diego, La Jolla, CA, USA.
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Bernhard Haring
- Division of Cardiology, University Heart Center, Medical University of Graz, Auenbruggerplatz 15, 8036, Graz, Austria
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University of Buffalo - SUNY, Buffalo, NY, USA
| | - JoAnn E Manson
- Division of Preventive 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, BA, Boston, MA, USA
| | - Alexander Ivan B Posis
- UCSD-SDSU Joint-Doctoral Program in Public Health (Epidemiology), University of California, San Diego, La Jolla, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
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Nguyen S, Bellettiere J, Anuskiewicz B, Di C, Carlson J, Natarajan L, LaMonte MJ, LaCroix AZ. Prospective Associations of Accelerometer-Measured Machine-Learned Sedentary Behavior With Death Among Older Women: The OPACH Study. J Am Heart Assoc 2024; 13:e031156. [PMID: 38410939 PMCID: PMC10944026 DOI: 10.1161/jaha.123.031156] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 11/14/2023] [Indexed: 02/28/2024]
Abstract
BACKGROUND Sedentary behavior is a recognized mortality risk factor. The novel and validated convolutional neural network hip accelerometer posture algorithm highly accurately classifies sitting and postural changes compared with accelerometer count cut points. We examined the prospective associations of convolutional neural network hip accelerometer posture-classified total sitting time and mean sitting bout duration with all-cause and cardiovascular disease (CVD) death. METHODS AND RESULTS Women (n=5856; mean±SD age, 79±7 years; 33% Black women, 17% Hispanic or Latina women, 50% White women) in the Women's Health Initiative Objective Physical Activity and Cardiovascular Health (OPACH) Study wore the ActiGraph GT3X+ for ~7 days from May 2012 to April 2014 and were followed through February 19, 2022 for all-cause and CVD death. The convolutional neural network hip accelerometer posture algorithm classified total sitting time and mean sitting bout duration from GT3X+ output. Over follow-up (median, 8.4 years; range, 0.1-9.9), there were 1733 deaths (632 from CVD). Adjusted Cox regression hazard ratios (HRs) comparing women in the highest total sitting time quartile (>696 min/d) to those in the lowest (<556.0 min/d) were 1.57 (95% CI; 1.35-1.83; P-trend<0.001) for all-cause death and 1.78 (95% CI; 1.36-2.31; P-trend<0.001) for CVD death. HRs comparing women in the longest mean sitting bout duration quartile (>15 minutes) to the shortest (<9.3 minutes) were 1.43 (95% CI; 1.23-1.66; P-trend<0.001) for all-cause death and 1.52 (95% CI; 1.18-1.96; P-trend<0.001) for CVD death. Apparent nonlinear associations for total sitting time suggested higher all-cause death (P nonlinear=0.009) and CVD death (P nonlinear=0.008) risk after ~660 to 700 min/d. CONCLUSIONS Higher total sitting time and longer mean sitting bout duration are associated with higher all-cause and CVD mortality risk among older women. These data support interventions aimed at reducing both total sitting time and interrupting prolonged sitting.
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Affiliation(s)
- Steve Nguyen
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
| | - John Bellettiere
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
| | - Blake Anuskiewicz
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
| | - Chongzhi Di
- Division of Public Health SciencesFred Hutchinson Cancer CenterSeattleWAUSA
| | - Jordan Carlson
- Center for Children’s Healthy Lifestyles and Nutrition, Children’s Mercy Kansas CityKansas CityMOUSA
| | - Loki Natarajan
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health ProfessionsUniversity at Buffalo – SUNYBuffaloNYUSA
| | - Andrea Z. LaCroix
- Division of EpidemiologyHerbert Wertheim School of Public Health, University of California San DiegoLa JollaCAUSA
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Calancie L, Leng XI, Whitsel EA, Cené C, Hassmiller Lich K, Dave G, Corbie G. Racial disparities in stroke incidence in the Women's Health Initiative: Exploring biological, behavioral, psychosocial, and social risk factors. SSM Popul Health 2024; 25:101570. [PMID: 38313870 PMCID: PMC10837642 DOI: 10.1016/j.ssmph.2023.101570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 02/06/2024] Open
Abstract
Background - Disparities in incident stroke risk among women by race and ethnicity persist. Few studies report the distribution and association of stroke risk factors by age group among a diverse sample of women. Methods - Data from the Women's Health Initiative (WHI) Observational Study collected between 1993 and 2010 were used to calculate cumulative stroke incidence and incidence rates among non-Hispanic African American (NHAA), non-Hispanic white (NHW), and Hispanic white or African American (HWAA) women by age group in participants aged ≥50 years at baseline (N = 77,247). Hazard ratios (HRs) and 95% CIs for biological, behavioral, psychosocial, and socioeconomic factors overall and by race or ethnicity were estimated using sequential Cox proportional hazard regression models. Results - Average follow-up time was 11.52 (SD, 3.48) years. The incident stroke rate was higher among NHAA (306 per 100,000 person-years) compared to NHW (279/100,000py) and HWAA women (147/100,000py) overall and in each age group. The disparity was largest at ages >75 years. The association between stroke risk factors (e.g., smoking, BMI, physical activity) and incident stroke varied across race and ethnicity groups. Higher social support was significantly associated with decreased stroke risk overall (HR:0.84, 95% CI, 0.76, 0.93); the degree of protection varied across race and ethnicity groups. Socioeconomic factors did not contribute additional stroke risk beyond risk conferred by traditional and psychosocial factors. Conclusions - The distribution and association of stroke risk factors differed between NHAA and NHW women. There is a clear need for stroke prevention strategies that address factors driving racial disparities in stroke risk.
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Affiliation(s)
| | - Xiaoyan Iris Leng
- Wake Forest University, 1834 Wake Forest Rd, Winston-Salem, NC, 27109, USA
| | - Eric A. Whitsel
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27599, USA
| | - Crystal Cené
- University of San Diego Health, 9300 Campus Point Drive, #7970, USA
| | | | - Gaurav Dave
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27599, USA
| | - Giselle Corbie
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27599, USA
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Muñoz-Vergara D, Wayne PM, Kim E, Lee IM, Buring JE, Manson JE, Sesso HD. Prepandemic Physical Activity and Risk of COVID-19 Diagnosis and Hospitalization in Older Adults. JAMA Netw Open 2024; 7:e2355808. [PMID: 38349654 PMCID: PMC10865155 DOI: 10.1001/jamanetworkopen.2023.55808] [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: 09/18/2023] [Accepted: 12/19/2023] [Indexed: 02/15/2024] Open
Abstract
Importance Higher prepandemic physical activity (PA) levels have been associated with lower risk and severity of COVID-19. Objective To investigate the association between self-reported prepandemic PA levels and the risk and severity of COVID-19 in older US adults. Design, Setting, and Participants This cohort study combined cohorts from 3 ongoing prospective randomized clinical trials of US adults aged 45 years or older who provided prepandemic self-reports of baseline leisure-time PA and risk factors for COVID-19 outcomes using the most recent questionnaire completed as of December 31, 2019, as the baseline PA assessment. In multiple surveys from May 2020 through May 2022, participants indicated whether they had at least 1 positive COVID-19 test result or were diagnosed with or hospitalized for COVID-19. Exposure Prepandemic PA, categorized into 3 groups by metabolic equivalent hours per week: inactive (0-3.5), insufficiently active (>3.5 to <7.5), and sufficiently active (≥7.5). Main Outcome and Measures Primary outcomes were risk of COVID-19 and hospitalization for COVID-19. Multivariable logistic regression was used to estimate odd ratios (ORs) and 95% CIs for the association of COVID-19 diagnosis and/or hospitalization with each of the 2 upper PA categories vs the lowest PA category. Results The pooled cohort included 61 557 participants (mean [SD] age, 75.7 [6.4] years; 70.7% female), 20.2% of whom were inactive; 11.4%, insufficiently active; and 68.5%, sufficiently active. A total of 5890 confirmed incident cases of COVID-19 were reported through May 2022, including 626 hospitalizations. After controlling for demographics, body mass index, lifestyle factors, comorbidities, and medications used, compared with inactive individuals, those insufficiently active had no significant reduction in infection (OR, 0.96; 95% CI, 0.86-1.06) or hospitalization (OR, 0.98; 95% CI, 0.76-1.28), whereas those sufficiently active had a significant reduction in infection (OR, 0.90; 95% CI, 0.84-0.97) and hospitalization (OR, 0.73; 95% CI, 0.60-0.90). In subgroup analyses, the association between PA and SARS-CoV-2 infection differed by sex, with only sufficiently active women having decreased odds (OR, 0.87; 95% CI, 0.79-0.95; P = .04 for interaction). Conclusions and Relevance In this cohort study of adults aged 45 years or older, those who adhered to PA guidelines before the pandemic had lower odds of developing or being hospitalized for COVID-19. Thus, higher prepandemic PA levels may be associated with reduced odds of SARS-CoV-2 infection and hospitalization for COVID-19.
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Affiliation(s)
- Dennis Muñoz-Vergara
- Osher Center for Integrative Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Peter M. Wayne
- Osher Center for Integrative Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Eunjung Kim
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Julie E. Buring
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - JoAnn E. Manson
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Howard D. Sesso
- Osher Center for Integrative Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Hou A, Li Y, Shadyab AH, Han J, Eaton CB, Qureshi A, Cho E. Photosensibilisierende Antihypertensiva und das Hautkrebsrisiko bei postmenopausalen Frauen: Photosensitizing antihypertensive medication and risk of skin cancer among postmenopausal women. J Dtsch Dermatol Ges 2024; 22:186-196. [PMID: 38361201 DOI: 10.1111/ddg.15281_g] [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: 04/28/2023] [Accepted: 09/22/2023] [Indexed: 02/17/2024]
Abstract
ZusammenfassungHintergrundEs gibt nur wenige prospektive Studien, die die Dosis‐Wirkungs‐Beziehung zwischen der Anwendung einiger photosensibilisierender Antihypertensiva und Hautkrebs untersucht haben.Patienten und MethodikAnhand prospektiver Daten aus der Women's Health Initiative Observational Study untersuchten wir den Zusammenhang zwischen der Anwendung von Antihypertensiva und dem Risiko für nicht melanozytären Hautkrebs (NMSC) und dem Melanom bei postmenopausalen Frauen im Alter von 50–79 Jahren (n = 64 918). Dabei wurden multivariable Cox‐Regressionsmodelle (Proportional‐Hazard‐Modelle) verwendet und Hazard Ratios (HR) sowie 95%‐Konfidenzintervalle (KI) berechnet.Ergebnisse8777 NMSC und 1227 Melanom‐Fälle wurden beobachtet. Die Anwendung von Antihypertensiva (HR [95%‐KI]: 1,12 [1,07–1,18]), ACE‐Hemmern (1,09 [1,01–1,18]), Kalziumkanalblockern (1,13 [1,05–1,22]), Diuretika (1,20 [1,12–1,27]), Schleifendiuretika (1,17 [1,07–1,28]) und Thiaziden (1,17 [1,03–1,33]) war jeweils mit einem erhöhten NMSC‐Risiko assoziiert. Das NMSC‐Risiko stieg linear mit der Anwendung mehrerer Antihypertensiva (p‐Trend = 0,02) und mit zunehmender Anwendungsdauer (p‐Trend < 0,01) an. Antihypertensiva (1,15 [1,00–1,31]), Angiotensin‐II‐Rezeptorblocker (1,82 [1,05–3,15]) und Diuretika (1,34 [1,13–1,59]) waren jeweils mit einem erhöhten Melanomrisiko assoziiert. Zwischen der Anwendung von Antihypertensiva und der Melanom‐Inzidenz wurde eine Effektmodifikation durch Exposition gegenüber Sonnenlicht‐Exposition beobachtet (p‐Interaktion = 0,02).SchlussfolgerungenDie Anwendung von Antihypertensiva allgemein und einiger einzelner Klassen von Antihypertensiva ging mit einer erhöhten Inzidenz von NMSC und Melanomen einher, wobei eine Dosis‐Wirkungs‐Beziehung bestand.
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Affiliation(s)
- Alexander Hou
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, USA
| | - Yueyao Li
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Jiali Han
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
| | - Charles B Eaton
- Department of Family Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Abrar Qureshi
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Eunyoung Cho
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Wang Y, Liu B, Hu Y, Sampson L, Manson JE, Rimm EB, Sun Q. Phytosterol intake and risk of coronary artery disease: Results from 3 prospective cohort studies. Am J Clin Nutr 2024; 119:344-353. [PMID: 38042410 PMCID: PMC10884604 DOI: 10.1016/j.ajcnut.2023.11.020] [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: 07/06/2023] [Revised: 11/20/2023] [Accepted: 11/29/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND Phytosterols are structurally similar to cholesterol and partially inhibit intestinal absorption of cholesterol, although their impact on coronary artery disease (CAD) risk remains to be elucidated. OBJECTIVES This study aimed to prospectively assess the associations between total and individual phytosterol intake and CAD risk in United States health professionals. METHODS The analysis included 213,992 participants from 3 prospective cohorts-the Nurses' Health Study (NHS), NHSII, and Health Professionals Follow-Up Study-without cardiovascular disease or cancer at baseline. Diet was assessed using a validated food frequency questionnaire every 2-4 y since baseline. Associations between phytosterol intake and the risk of CAD, such as nonfatal myocardial infarction and fatal CAD, were evaluated using Cox proportional hazards regression models. RESULTS More than 5,517,993 person-years, 8725 cases with CAD were documented. Comparing extreme quintiles, pooled hazard ratios (95% CIs) of CAD were 0.93 (0.86, 1.01; P-trend = 0.16) for total phytosterols, 0.89 (0.82, 0.96; P-trend = 0.05) for campesterol, 0.95 (0.88, 1.02; P-trend = 0.10) for stigmasterol, and 0.92 (0.85, 1.00; P-trend = 0.09) for β-sitosterol. Nonlinear associations were observed for total phytosterols, campesterol, and β-sitosterol: the risk reduction plateaued at intakes above ∼180, 30, and 130 mg/d, respectively (P-nonlinearity < 0.001). In a subset of participants (N range between 11,983 and 22,039), phytosterol intake was inversely associated with plasma concentrations of total cholesterol, triglycerides, high-density lipoprotein cholesterol, and IL-6 and positively associated with adiponectin, whereas no significant associations were observed for low-density lipoprotein cholesterol or C-reactive protein concentrations. CONCLUSIONS Higher long-term intake of total and major subtypes of phytosterols may be associated with a modest reduction in CAD risk, displaying a nonlinear relationship that plateau at moderate intake levels. The role of phytosterols in preventing CAD warrants further investigation.
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Affiliation(s)
- Yeli Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Binkai Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Yang Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Laura Sampson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - JoAnn E Manson
- 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; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Eric B Rimm
- 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
| | - Qi Sun
- 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.
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Hou A, Li Y, Shadyab AH, Han J, Eaton CB, Qureshi A, Cho E. Photosensitizing antihypertensive medication and risk of skin cancer among postmenopausal women. J Dtsch Dermatol Ges 2024; 22:186-194. [PMID: 38345266 DOI: 10.1111/ddg.15281] [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: 04/28/2023] [Accepted: 09/22/2023] [Indexed: 02/17/2024]
Abstract
BACKGROUND Few prospective studies exist with an evaluation of a dose-response relationship between use of some photosensitizing antihypertensive medications and skin cancer. PATIENT AND METHODS We used prospective data from the Women's Health Initiative Observational Study to investigate the association between antihypertensive use and risk of non-melanoma skin cancer (NMSC) and melanoma in postmenopausal women aged 50-79 years at baseline (n = 64,918). Multivariable Cox proportional hazards regression models were used and hazard ratios (HRs) and 95 confidence intervals (CIs) were calculated. RESULTS 8,777 NMSC and 1,227 melanoma cases were observed. Use of antihypertensives (HR [95% CI]: 1.12 [1.07-1.18]), ACE inhibitors (1.09 [1.01-1.18]), calcium channel blockers (1.13 [1.05-1.22]), diuretics (1.20 [1.12-1.27]), loop diuretics (1.17 [1.07-1.28]), and thiazides (1.17 [1.03-1.33]) were each associated with higher NMSC risk. NMSC risk linearly increased with use of multiple antihypertensives (p-trend = 0.02) and with longer duration of use (p-trend < 0.01). Antihypertensives (1.15 [1.00-1.31]), angiotensin-II receptor blockers (1.82 [1.05-3.15]), and diuretics (1.34 [1.13-1.59]) were each associated with elevated melanoma risk. Effect modification by solar radiation exposure was found between antihypertensive use and incidence of melanoma (p-interaction = 0.02). CONCLUSIONS Use of antihypertensives overall, and several individual classes thereof, were associated with higher incidence of NMSC and melanoma with dose-response relationship.
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Affiliation(s)
- Alexander Hou
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, USA
| | - Yueyao Li
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, CA, La Jolla, USA
| | - Jiali Han
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
| | - Charles B Eaton
- Department of Family Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Abrar Qureshi
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Eunyoung Cho
- Department of Dermatology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, MA, Boston, USA
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Wang F, Skiba MB, Follis S, Liu N, Bidulescu A, Mitra AK, Mouton CP, Qi L, Luo J. Allostatic load and risk of invasive breast cancer among postmenopausal women in the U.S. Prev Med 2024; 178:107817. [PMID: 38097139 DOI: 10.1016/j.ypmed.2023.107817] [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: 09/11/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
OBJECTIVE Allostatic load can reflect the body's response to chronic stress. However, little is known about the association between allostatic load and risk of breast cancer in postmenopausal women. This study used a large prospective cohort in the United States to examine the relationship between allostatic load and invasive breast cancer risk, and to evaluate the relationship by racial and ethnic identity and breast cancer subtypes. METHODS Among 161,808 postmenopausal participants in Women's Health Initiative, eligible were a subsample of 27,393 postmenopausal women aged 50-79 years old, who enrolled from 1993 to 1998, had serum test biomarkers, and were followed for breast cancer incidence through February 2022. Allostatic load at enrollment was computed based on eight biomarkers from lab serum tests and a questionnaire about participants' prescription drug use. The associations between allostatic scores and risk of breast cancer (overall and by subtypes) were assessed using Cox proportional hazards models. The race and ethnic differences were examined. RESULTS Over a median follow-up time of 17.24 years, 1722 invasive breast cancer cases were identified. High allostatic load was associated with an increased risk of breast cancer (HR = 1.36, 95%CI: 1.20, 1.54 for third tertile vs first tertile, Ptrend < 0.0001). Similar trends were found in White women and non-Hispanic women. Higher allostatic load was associated with hormone receptor-positive and HER2/Neu-negative breast cancer (HR = 1.54, 95%CI: 1.30, 1.80 for third tertile vs first tertile, Ptrend < 0.0001). CONCLUSION In this study, we found that higher allostatic load was significantly associated with an increased risk of breast cancer in postmenopausal women.
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Affiliation(s)
- Fengge Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA.
| | - Meghan B Skiba
- Advanced Nursing Practice and Science Division, College of Nursing, University of Arizona, Tucson, AZ, USA
| | - Shawna Follis
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Nianjun Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA
| | - Aurelian Bidulescu
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA
| | - Anirban K Mitra
- Indiana University School of Medicine-Bloomington, Bloomington, IN, USA
| | - Charles P Mouton
- Department of Family Medicine, University of Texas Medical Branch, Galveston, TX, USA
| | - Lihong Qi
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, USA
| | - Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA
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Power MC, Bennett EE, Lynch KM, Stewart JD, Xu X, Park ES, Smith RL, Vizuete W, Margolis HG, Casanova R, Wallace R, Sheppard L, Ying Q, Serre ML, Szpiro AA, Chen JC, Liao D, Wellenius GA, van Donkelaar A, Yanosky JD, Whitsel E. Comparison of PM2.5 Air Pollution Exposures and Health Effects Associations Using 11 Different Modeling Approaches in the Women's Health Initiative Memory Study (WHIMS). ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:17003. [PMID: 38226465 PMCID: PMC10790222 DOI: 10.1289/ehp12995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 11/17/2023] [Accepted: 12/05/2023] [Indexed: 01/17/2024]
Abstract
BACKGROUND Many approaches to quantifying air pollution exposures have been developed. However, the impact of choice of approach on air pollution estimates and health-effects associations remains unclear. OBJECTIVES Our objective is to compare particulate matter with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ) concentrations and resulting health effects associations using multiple estimation approaches previously used in epidemiologic analyses. METHODS We assigned annual PM 2.5 exposure estimates from 1999 to 2004 derived from 11 different approaches to Women's Health Initiative Memory Study (WHIMS) participant addresses within the contiguous US. Approaches included geostatistical interpolation approaches, land-use regression or spatiotemporal models, satellite-derived approaches, air dispersion and chemical transport models, and hybrid models. We used descriptive statistics and plots to assess relative and absolute agreement among exposure estimates and examined the impact of approach on associations between PM 2.5 and death due to natural causes, cardiovascular disease (CVD) mortality, and incident CVD events, adjusting for individual-level covariates and climate-based region. RESULTS With a few exceptions, relative agreement of approach-specific PM 2.5 exposure estimates was high for PM 2.5 concentrations across the contiguous US. Agreement among approach-specific exposure estimates was stronger near PM 2.5 monitors, in certain regions of the country, and in 2004 vs. 1999. Collectively, our results suggest but do not quantify lower agreement at local spatial scales for PM 2.5 . There was no evidence of large differences in health effects associations with PM 2.5 among estimation approaches in analyses adjusted for climate region. CONCLUSIONS Different estimation approaches produced similar spatial patterns of PM 2.5 concentrations across the contiguous US and in areas with dense monitoring data, and PM 2.5 -health effects associations were similar among estimation approaches. PM 2.5 estimates and PM 2.5 -health effects associations may differ more in samples drawn from smaller areas or areas without substantial monitoring data, or in analyses with finer adjustment for participant location. Our results can inform decisions about PM 2.5 estimation approach in epidemiologic studies, as investigators balance concerns about bias, efficiency, and resource allocation. Future work is needed to understand whether these conclusions also apply in the context of other air pollutants of interest. https://doi.org/10.1289/EHP12995.
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Affiliation(s)
- Melinda C. Power
- Department of Epidemiology, Milken Institute School of Public Health, Washington, District of Columbia, USA
| | - Erin E. Bennett
- Department of Epidemiology, Milken Institute School of Public Health, Washington, District of Columbia, USA
| | - Katie M. Lynch
- Department of Epidemiology, Milken Institute School of Public Health, Washington, District of Columbia, USA
| | - James D. Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Xiaohui Xu
- Department of Epidemiology and Biostatistics, Texas A&M Health Science Center School of Public Health, College Station, Texas, USA
| | - Eun Sug Park
- Texas A&M Transportation Institute, College Station, Texas, USA
| | - Richard L. Smith
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Will Vizuete
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Helene G. Margolis
- Department of Internal Medicine, School of Medicine, University of California at Davis, Sacramento, California, USA
| | - Ramon Casanova
- Department of Biostatics and Data Science, Wake Forest University School of Medicine, Winston Salem, North Carolina, USA
| | - Robert Wallace
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa, USA
- Department of Internal Medicine, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Lianne Sheppard
- Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, Washington, USA
- Department of Biostatistics, University of Washington School of Public Health, Seattle WA, USA
| | - Qi Ying
- Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, Texas, USA
| | - Marc L. Serre
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Adam A. Szpiro
- Department of Biostatistics, University of Washington School of Public Health, Seattle WA, USA
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Duanping Liao
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania
| | - Gregory A. Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Aaron van Donkelaar
- Department of Energy, Environmental, and Chemical Engineering McKelvey School of Engineering, St. Louis, Missouri, USA
| | - Jeff D. Yanosky
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania
| | - Eric Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Titcomb TJ, Richey P, Casanova R, Phillips LS, Liu S, Karanth SD, Saquib N, Nuño T, Manson JE, Shadyab AH, Liu L, Wahls TL, Snetselaar LG, Wallace RB, Bao W. Association of type 2 diabetes mellitus with dementia-related and non-dementia-related mortality among postmenopausal women: A secondary competing risks analysis of the women's health initiative. Alzheimers Dement 2024; 20:234-242. [PMID: 37563765 PMCID: PMC10916943 DOI: 10.1002/alz.13416] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 07/06/2023] [Accepted: 07/07/2023] [Indexed: 08/12/2023]
Abstract
INTRODUCTION Alzheimer's disease (AD) and AD-related dementias (ADRD) are leading causes of death among older adults in the United States. Efforts to understand risk factors for prevention are needed. METHODS Participants (n = 146,166) enrolled in the Women's Health Initiative without AD at baseline were included. Diabetes status was ascertained from self-reported questionnaires and deaths attributed to AD/ADRD from hospital, autopsy, and death records. Competing risk regression models were used to estimate the cause-specific hazard ratios (HRs) and 95% confidence intervals (CIs) for the prospective association of type 2 diabetes mellitus (T2DM) with AD/ADRD and non-AD/ADRD mortality. RESULTS There were 29,393 treated T2DM cases and 8628 AD/ADRD deaths during 21.6 (14.0-23.5) median (IQR) years of follow-up. Fully adjusted HRs (95% CIs) of the association with T2DM were 2.94 (2.76-3.12) for AD/ADRD and 2.65 (2.60-2.71) for the competing risk of non-AD/ADRD mortality. DISCUSSION T2DM is associated with AD/ADRD and non-AD/ADRD mortality. HIGHLIGHTS Type 2 diabetes mellitus is more strongly associated with Alzheimer's disease (AD)/AD and related dementias (ADRD) mortality compared to the competing risk of non-AD/ADRD mortality among postmenopausal women. This relationship was consistent for AD and ADRD, respectively. This association is strongest among participants without obesity or hypertension and with younger age at baseline, higher diet quality, higher physical activity, higher alcohol consumption, and older age at the time of diagnosis of type 2 diabetes mellitus.
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Affiliation(s)
- Tyler J. Titcomb
- Department of Internal MedicineCarver College of MedicineUniversity of IowaIowa CityIowaUSA
- Department of EpidemiologyUniversity of IowaIowa CityIowaUSA
- Fraternal Order of Eagles Diabetes Research CenterUniversity of IowaIowa CityIowaUSA
| | - Phyllis Richey
- Department of Preventive MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA
| | - Ramon Casanova
- Department of Biostatistics and Data ScienceWake Forest University School of MedicineWinston SalemNorth CarolinaUSA
| | - Lawrence S. Phillips
- Atlanta VA Medical Center, DecaturGA and Department of MedicineEmory UniversityAtlantaGeorgiaUSA
| | - Simin Liu
- Departments of EpidemiologyMedicine, and Surgery, and Center for Global Cardiometabolic HealthBrown UniversityProvidenceRhode IslandUSA
| | - Shama D. Karanth
- Department of Aging and Geriatric ResearchUniversity of FloridaGainesvilleFloridaUSA
| | - Nazmus Saquib
- Department of ResearchSulaiman Al Rajhi UniversityAl BukayriahSaudi Arabia
| | - Tomas Nuño
- Department of Epidemiology and BiostatisticsUniversity of ArizonaTucsonArizonaUSA
| | - JoAnn E. Manson
- Department of MedicineBrigham and Women's HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Longjian Liu
- Department of Epidemiology and BiostatisticsDrexel University Dornsife School of Public HealthPhiladelphiaPennsylvaniaUSA
| | - Terry L. Wahls
- Department of Internal MedicineCarver College of MedicineUniversity of IowaIowa CityIowaUSA
| | | | - Robert B. Wallace
- Department of Internal MedicineCarver College of MedicineUniversity of IowaIowa CityIowaUSA
- Department of EpidemiologyUniversity of IowaIowa CityIowaUSA
| | - Wei Bao
- Institute of Public Health SciencesDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhuiChina
- Department of EndocrinologyInstitute of Endocrine and Metabolic DisordersFirst Affiliated Hospital of USTCDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhuiChina
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Peila R, Xue X, Shadyab AH, Wactawski-Wende J, Espeland MA, Snetselaar LG, Saquib N, Ikramuddin F, Manson JE, Wallace RB, Rohan TE. Association Between the Healthy Lifestyle Index and Risk of Multimorbidity in the Women's Health Initiative. J Gerontol A Biol Sci Med Sci 2023; 78:2282-2293. [PMID: 37463321 PMCID: PMC11491747 DOI: 10.1093/gerona/glad170] [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: 03/03/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Multimorbidity, defined as the presence of 2 or more chronic health conditions, is increasingly common among older adults. The combination of lifestyle characteristics such as diet quality, smoking status, alcohol intake, physical activity (PA), sleep duration, and body fat as assessed by body mass index (BMI) or waist circumference, and risk of multimorbidity are not well understood. OBJECTIVES We investigated the association between the healthy lifestyle index (HLI), generated by combining indicators of diet quality, smoking, alcohol, PA, sleep amount, and BMI, and risk of multimorbidity, a composite outcome that included cardiovascular disease (CVD), diabetes, cancer, and fracture. METHODS We studied 62 037 postmenopausal women aged 50-79 years at enrollment in the Women's Health Initiative, with no reported history of CVD, diabetes, cancer, or fracture at baseline. Lifestyle characteristics measured at baseline were categorized and a score (0-4) was assigned to each category. The combined HLI (0-24) was grouped into quintiles, with higher quintiles indicating a healthier lifestyle. Multivariable adjusted estimates of hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the risk of developing multimorbidity were obtained using Cox proportional hazard models. RESULTS Over an average follow-up period of 16.3 years, 5 656 women developed multimorbidity. There was an inverse association between the HLI levels and risk of multimorbidity (compared to the HLI_1st quintile: HR_2nd quintile = 0.81 95% CI 0.74-0.83, HR_3rd quintile = 0.77 95% CI 0.71-0.83, HR_4th quintile = 0.70 95% CI 0.64-0.76, and HR_5th quintile = 0.60 95% CI 0.54-0.66; p trend < .001). Similar associations were observed after stratification by age or BMI categories. CONCLUSIONS Among postmenopausal women, higher levels of the HLI were associated with a reduced risk of developing multimorbidity.
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Affiliation(s)
- Rita Peila
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Xiaonan Xue
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York, USA
| | - Mark A Espeland
- Department of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Linda G Snetselaar
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Nazmus Saquib
- College of Medicine at Sulaiman, Al Rajhi University, Al Bukayriyah, Saudi Arabia
| | - Farha Ikramuddin
- Department of Rehabilitation Medicine, University of Minnesota, Medical School, Minneapolis, Minnesota, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Robert B Wallace
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
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Jin Q, Gheeya J, Nepal S, Shi N, Folefac E, Webb MZ, Grainger EM, Wei L, Prosek JM, Focht BC, Gong M, Clinton SK, Tabung FK. Associations of dietary patterns with kidney cancer risk, kidney cancer-specific mortality and all-cause mortality among postmenopausal women. Br J Cancer 2023; 129:1978-1987. [PMID: 37898720 PMCID: PMC10703863 DOI: 10.1038/s41416-023-02469-7] [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: 09/13/2022] [Revised: 09/19/2023] [Accepted: 10/16/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND The empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP) are novel measures of dietary quality associated with insulin hypersecretion or chronic inflammation, respectively, whereas the Healthy Eating Index (HEI-2015) measures adherence to the Dietary Guidelines for Americans (DGA). We evaluated associations of EDIH, EDIP and HEI-2015 on the risk of both kidney cancer development and mortality. METHODS We calculated the dietary scores from baseline food frequency questionnaires among 115,830 participants aged 50-79 years in the Women's Health Initiative. Multivariable-adjusted Cox regression was used to estimate hazard ratios (HR) and 95% confidence intervals (95%CI) for kidney cancer risk, kidney cancer-specific mortality and all-cause mortality, per 1-standard deviation increment in dietary pattern scores. RESULTS Higher EDIH was associated with greater risk of kidney cancer development [HR, 1.12; 95%CI, (1.01,1.23)], kidney cancer-specific death [1.22(0.99,1.48)], and all-cause mortality, [1.05(1.02,1.08)]. Higher HEI-2015 was associated with lower risk of kidney cancer development, [0.85(0.77, 0.94)], kidney cancer-specific death, [0.84(0.69,1.03)] and all-cause mortality, [0.97(0.95,1.00)]. However, EDIP was not significantly associated with outcomes. Associations did not differ by BMI categories. CONCLUSIONS Low-insulinemic dietary patterns and higher quality diets, are worthy of testing in dietary pattern intervention trials for kidney cancer prevention and improved survivorship.
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Affiliation(s)
- Qi Jin
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH, USA
- Department of Exercise and Nutrition Sciences, Weber State University, Ogden, UT, USA
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Jinesh Gheeya
- Hematology and Medical Oncology Fellowship Program, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Sushma Nepal
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Ni Shi
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Edmund Folefac
- Hematology and Medical Oncology Fellowship Program, The Ohio State University College of Medicine, Columbus, OH, USA
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Maxine Z Webb
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Elizabeth M Grainger
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Lai Wei
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Jason M Prosek
- Division of Nephrology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Brian C Focht
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Department of Human Sciences, College of Education and Human Ecology, The Ohio State University, Columbus, OH, USA
| | - Michael Gong
- Department of Urology, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Steven K Clinton
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH, USA
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Fred K Tabung
- Interdisciplinary Ph.D. Program in Nutrition, The Ohio State University, Columbus, OH, USA.
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
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Hu Y, Li J, Wang B, Zhu L, Li Y, Ivey KL, Lee KH, Eliassen AH, Chan A, Huttenhower C, Hu FB, Qi Q, Rimm EB, Sun Q. Interplay between diet, circulating indolepropionate concentrations and cardiometabolic health in US populations. Gut 2023; 72:2260-2271. [PMID: 37739776 PMCID: PMC10841831 DOI: 10.1136/gutjnl-2023-330410] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/23/2023] [Indexed: 09/24/2023]
Abstract
OBJECTIVES To identify indolepropionate (IPA)-predicting gut microbiota species, investigate potential diet-microbiota interactions, and examine the prospective associations of circulating IPA concentrations with type 2 diabetes (T2D) and coronary heart disease (CHD) risk in free-living individuals. DESIGN We included 287 men from the Men's Lifestyle Validation Study, a substudy of the Health Professionals Follow-Up Study (HPFS), who provided up to two pairs of faecal samples and two blood samples. Diet was assessed using 7-day diet records. Associations between plasma concentrations of tryptophan metabolites and T2D CHD risk were examined in 13 032 participants from Nurses' Health Study (NHS), NHSII and HPFS. RESULTS We identified 17 microbial species whose abundance was significantly associated with plasma IPA concentrations. A significant association between higher tryptophan intake and higher IPA concentrations was only observed among men who had higher fibre intake and a higher microbial species score consisting of the 17 species (p-interaction<0.01). Dietary and plasma concentrations of tryptophan and most kynurenine pathway metabolites were positively associated with T2D risk (HRQ5 vs Q1 ranged from 1.17 to 1.46) while a significant inverse association was found for IPA (HRQ5 vs Q1 (95% CI) 0.70 (0.56 to 0.88)). No associations were found in CHD for any plasma tryptophan metabolites. CONCLUSIONS Specific microbial species and dietary fibre jointly predicted significantly higher circulating IPA concentrations at higher tryptophan intake. Dietary and plasma tryptophan, as well as its kynurenine pathway metabolites, demonstrated divergent associations from those for IPA, which was significantly predictive of lower risk of T2D.
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Affiliation(s)
- Yang Hu
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Jun Li
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Biqi Wang
- Department of Medicine, UMASS Medical School, Worcester, Massachusetts, USA
| | - Lu Zhu
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Yanping Li
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Kerry L Ivey
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Kyu Ha Lee
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew Chan
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Immunology and Infectious Diseases, Harvard University T. H. Chan School of Public Health, Boston, Boston, Massachusetts, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Immunology and Infectious Diseases, Harvard University T. H. Chan School of Public Health, Boston, Boston, Massachusetts, USA
- Eli and Edythe L. Broad Institute of Harvard and MIT, Flinders University College of Nursing and Health Sciences, Cambridge, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Yeshiva University Albert Einstein College of Medicine, Bronx, New York, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Qi Sun
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Balasubramanian R, Shutta KH, Guasch-Ferre M, Huang T, Jha SC, Zhu Y, Shadyab AH, Manson JE, Corella D, Fitó M, Hu FB, Rexrode KM, Clish CB, Hankinson SE, Kubzansky LD. Metabolomic profiles of chronic distress are associated with cardiovascular disease risk and inflammation-related risk factors. Brain Behav Immun 2023; 114:262-274. [PMID: 37557964 PMCID: PMC11450778 DOI: 10.1016/j.bbi.2023.08.010] [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: 12/31/2022] [Revised: 08/01/2023] [Accepted: 08/06/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Chronic psychological distress is associated with increased risk of cardiovascular disease (CVD) and investigators have posited inflammatory factors may be centrally involved in these relationships. However, mechanistic evidence and molecular underpinnings of these processes remain unclear, and data are particularly sparse among women. This study examined if a metabolite profile linked with distress was associated with increased CVD risk and inflammation-related risk factors. METHODS A plasma metabolite-based distress score (MDS) of twenty chronic psychological distress-related metabolites was developed in cross-sectional, 1:1 matched case-control data comprised of 558 women from the Nurses' Health Study (NHS; 279 women with distress, 279 controls). This MDS was then evaluated in two other cohorts: the Women's Health Initiative Observational Cohort (WHI-OS) and the Prevención con Dieta Mediterránea (PREDIMED) trial. We tested the MDS's association with risk of future CVD in each sample and with levels of C-reactive protein (CRP) in the WHI-OS. The WHI-OS subsample included 944 postmenopausal women (472 CHD cases; mean time to event = 5.8 years); the PREDIMED subsample included 980 men and women (224 CVD cases, mean time to event = 3.1 years). RESULTS In the WHI-OS, a 1-SD increase in the plasma MDS was associated with a 20% increased incident CHD risk (odds ratio [OR] = 1.20, 95% CI: 1.04 - 1.38), adjusting for known CVD risk factors excluding total and HDL cholesterol. This association was attenuated after including total and HDL cholesterol. CRP mediated an average 12.9% (95% CI: 4.9% - 28%, p < 10-15) of the total effect of MDS on CHD risk when adjusting for matching factors. This effect was attenuated after adjusting for known CVD risk factors. Of the metabolites in the MDS, tryptophan and threonine were inversely associated with incident CHD risk in univariate models. In PREDIMED, each one SD increase in the MDS was associated with an OR of 1.19 (95% CI: 1.00 - 1.41) for incident CVD risk, after adjusting all risk factors. Similar associations were observed in men and women. Four metabolites in the MDS were associated with incident CVD risk in PREDIMED in univariate models. Biliverdin and C36:5 phosphatidylcholine (PC) plasmalogen had inverse associations; C16:0 ceramide and C18:0 lysophosphatidylethanolamine(LPE) each had positive associations with CVD risk. CONCLUSIONS Our study points to molecular alterations that may underlie the association between chronic distress and subsequent risk of cardiovascular disease in adults.
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Affiliation(s)
- Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States of America
| | - Katherine H Shutta
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States of America; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Marta Guasch-Ferre
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States of America
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States of America
| | - Dolores Corella
- Department of Preventive Medicine and Public Health. University of Valencia, Valencia Spain and CIBEROBN, Madrid, Spain
| | - Montserrat Fitó
- Epidemiology and Public Health program. Hospital del Mar Research Institute, Barcelona, Spain and CIBEROBN, Madrid, Spain
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Kathryn M Rexrode
- Harvard Medical School, Boston, MA, United States of America; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA, the United States of America
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, United States of America
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States of America
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
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Vasbinder A, Zaslavsky O, Heckbert SR, Thompson H, Cheng RK, Saquib N, Wallace R, Haque R, Paskett ED, Reding KW. Associations of Health-Related Quality of Life and Sleep Disturbance With Cardiovascular Disease Risk in Postmenopausal Breast Cancer Survivors. Cancer Nurs 2023; 46:E355-E364. [PMID: 35816026 PMCID: PMC10232669 DOI: 10.1097/ncc.0000000000001133] [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: 11/26/2022]
Abstract
BACKGROUND Breast cancer (BC) survivors are at an increased risk of long-term cardiovascular disease (CVD), often attributed to cancer treatment. However, cancer treatment may also negatively impact health-related quality of life (HRQoL), a risk factor of CVD in the general population. OBJECTIVE We examined whether sleep disturbance, and physical or mental HRQoL were associated with CVD risk in BC survivors. METHODS We conducted a longitudinal analysis in the Women's Health Initiative of postmenopausal women given a diagnosis of invasive BC during follow-up through 2010 with no history of CVD before BC. The primary outcome was incident CVD, defined as physician-adjudicated coronary heart disease or stroke, after BC. Physical and mental HRQoL, measured by the Short-Form 36 Physical and Mental Component Summary scores, and sleep disturbance, measured by the Women's Health Initiative Insomnia Rating Scale, were recorded post BC. Time-dependent Cox proportional hazards models were used starting at BC diagnosis until 2010 or censoring and adjusted for relevant confounders. RESULTS In 2884 BC survivors, 157 developed CVD during a median follow-up of 9.5 years. After adjustment, higher Physical Component Summary scores were significantly associated with a lower risk of CVD (hazard ratio, 0.90 [95% confidence interval, 0.81-0.99]; per 5-point increment in Physical Component Summary). No associations with CVD were found for Mental Component Summary or Insomnia Rating Scale. CONCLUSION In BC survivors, poor physical HRQoL is a significant predictor of CVD. IMPLICATIONS FOR PRACTICE Our findings highlight the importance for nurses to assess and promote physical HRQoL as part of a holistic approach to mitigating the risk of CVD in BC survivors.
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Affiliation(s)
- Alexi Vasbinder
- Author Affiliations: Department of Biobehavioral Nursing and Health Informatics, School of Nursing (Drs Vasbinder, Zaslavsky, Thompson, and Reding); and Department of Epidemiology, School of Public Health (Dr Heckbert), University of Washington, Seattle; Division of Cardiology, Departments of Medicine and Radiology, University of Washington Medical Center (Dr Cheng), Seattle; Research Unit, College of Medicine, Sulaiman Al-Rajhi University (Dr Saquib), Al Bukairiyah, Saudi Arabia; Department of Epidemiology, College of Public Health, University of Iowa (Dr Wallace), Iowa City; Division of Epidemiologic Research, Department of Research and Evaluation, Kaiser Permanente Southern California & Health Systems Science, Kaiser Permanente School of Medicine (Dr Haque), Pasadena; and Comprehensive Cancer Center and the Department of Medicine, The Ohio State University (Dr Paskett), Columbus
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45
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Prentice RL, Vasan S, Tinker LF, Neuhouser ML, Navarro SL, Raftery D, Gowda GN, Pettinger M, Aragaki AK, Lampe JW, Huang Y, Van Horn L, Manson JE, Wallace RB, Mossavar-Rahmani Y, Wactawski-Wende J, Liu S, Snetselaar L, Howard BV, Chlebowski RT, Zheng C. Metabolomics Biomarkers for Fatty Acid Intake and Biomarker-Calibrated Fatty Acid Associations with Chronic Disease Risk in Postmenopausal Women. J Nutr 2023; 153:2663-2677. [PMID: 37178978 PMCID: PMC10550839 DOI: 10.1016/j.tjnut.2023.05.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 04/26/2023] [Accepted: 05/02/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND A substantial observational literature relating specific fatty acid classes to chronic disease risk may be limited by its reliance on self-reported dietary data. OBJECTIVES We aimed to develop biomarkers for saturated (SFA), monounsaturated (MUFA), and polyunsaturated (PUFA) fatty acid densities, and to study their associations with cardiovascular disease (CVD), cancer, and type 2 diabetes (T2D) in Women's Health Initiative (WHI) cohorts. METHODS Biomarker equations were based primarily on serum and urine metabolomics profiles from an embedded WHI human feeding study (n = 153). Calibration equations were based on biomarker values in a WHI nutritional biomarker study (n = 436). Calibrated intakes were assessed in relation to disease incidence in larger WHI cohorts (n = 81,894). Participants were postmenopausal women, aged 50-79 when enrolled at 40 United States Clinical Centers (1993-1998), with a follow-up period of ∼20 y. RESULTS Biomarker equations meeting criteria were developed for SFA, MUFA, and PUFA densities. That for SFA density depended somewhat weakly on metabolite profiles. On the basis of our metabolomics platforms, biomarkers were insensitive to trans fatty acid intake. Calibration equations meeting criteria were developed for SFA and PUFA density, but not for MUFA density. With or without biomarker calibration, SFA density was associated positively with risk of CVD, cancer, and T2D, but with small hazard ratios, and CVD associations were not statistically significant after controlling for other dietary variables, including trans fatty acid and fiber intake. Following this same control, PUFA density was not significantly associated with CVD risk, but there were positive associations for some cancers and T2D, with or without biomarker calibration. CONCLUSIONS Higher SFA and PUFA diets were associated with null or somewhat higher risk for clinical outcomes considered in this population of postmenopausal United States women. Further research is needed to develop even stronger biomarkers for these fatty acid densities and their major components. This study is registered with clinicaltrials.gov identifier: NCT00000611.
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Affiliation(s)
- Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States.
| | - Sowmya Vasan
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States
| | - Sandi L Navarro
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Daniel Raftery
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, United States
| | - Ga Nagana Gowda
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, United States
| | - Mary Pettinger
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Aaron K Aragaki
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Johanna W Lampe
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States
| | - Ying Huang
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Robert B Wallace
- College of Public Health, University of Iowa, Iowa City, IA, United States
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University of Buffalo, Buffalo, NY, United States
| | - Simin Liu
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI, United States
| | - Linda Snetselaar
- College of Public Health, University of Iowa, Iowa City, IA, United States
| | - Barbara V Howard
- Department of Medicine, Georgetown University Medical Center, and MedStar Health Research Institute, Hyattsville, MD, United States
| | | | - Cheng Zheng
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, United States
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46
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Prentice RL, Vasan S, Tinker LF, Neuhouser ML, Navarro SL, Raftery D, Gowda GN, Pettinger M, Aragaki AK, Lampe JW, Huang Y, Van Horn L, Manson JE, Wallace R, Mossavar-Rahmani Y, Wactawski-Wende J, Liu S, Snetselaar L, Howard BV, Chlebowski RT, Zheng C. Metabolomics-Based Biomarker for Dietary Fat and Associations with Chronic Disease Risk in Postmenopausal Women. J Nutr 2023; 153:2651-2662. [PMID: 37245660 PMCID: PMC10517226 DOI: 10.1016/j.tjnut.2023.05.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 05/02/2023] [Accepted: 05/23/2023] [Indexed: 05/30/2023] Open
Abstract
BACKGROUND The Women's Health Initiative (WHI) randomized, controlled Dietary Modification (DM) trial of a low-fat dietary pattern suggested intervention benefits related to breast cancer, coronary heart disease (CHD), and diabetes. Here, we use WHI observational data for further insight into the chronic disease implications of adopting this type of low-fat dietary pattern. OBJECTIVES We aimed to use our earlier work on metabolomics-based biomarkers of carbohydrate and protein to develop a fat intake biomarker by subtraction, to use the resulting biomarker to develop calibration equations that adjusts self-reported fat intake for measurement error, and to study associations of biomarker-calibrated fat intake with chronic disease risk in WHI cohorts. Corresponding studies for specific fatty acids will follow separately. METHODS Prospective disease association results are presented using WHI cohorts of postmenopausal women, aged 50-79 y when enrolled at 40 United States clinical centers. Biomarker equations were developed using an embedded human feeding study (n = 153). Calibration equations were developed using a WHI nutritional biomarker study (n = 436). Calibrated intakes were associated with cancer, cardiovascular diseases, and diabetes incidence in WHI cohorts (n = 81,954) over an approximate 20-y follow-up period. RESULTS A biomarker for fat density was developed by subtracting protein, carbohydrate, and alcohol densities from one. A calibration equation was developed for fat density. Hazard ratios (95% confidence intervals) for 20% higher fat density were 1.16 (1.06, 1.27) for breast cancer, 1.13 (1.02, 1.26) for CHD, and 1.19 (1.13, 1.26) for diabetes, in substantial agreement with findings from the DM trial. With control for additional dietary variables, especially fiber, fat density was no longer associated with CHD, with hazard ratio (95% confidence interval) of 1.00 (0.88, 1.13), whereas that for breast cancer was 1.11 (1.00, 1.24). CONCLUSIONS WHI observational data support prior DM trial findings of low-fat dietary pattern benefits in this population of postmenopausal United States women. TRIAL REGISTRATION NUMBER This study is registered with clinicaltrials.gov identifier: NCT00000611.
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Affiliation(s)
- Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States.
| | - Sowmya Vasan
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States
| | - Sandi L Navarro
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Daniel Raftery
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, United States
| | - Ga Nagana Gowda
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, United States
| | - Mary Pettinger
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Aaron K Aragaki
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Johanna W Lampe
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States
| | - Ying Huang
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States; School of Public Health, University of Washington, Seattle, WA, United States
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Robert Wallace
- College of Public Health, University of Iowa, Iowa City, IA, United States
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, United States
| | - Simin Liu
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI, United States
| | - Linda Snetselaar
- College of Public Health, University of Iowa, Iowa City, IA, United States
| | - Barbara V Howard
- Department of Medicine, Georgetown University Medical Center, and MedStar Health Research Institute, Hyattsville, MD, United States
| | - Rowan T Chlebowski
- Division of Medical Oncology and Hematology, The Lundquist Institute, Torrance, CA, United States
| | - Cheng Zheng
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, United States
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47
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Haring B, Hunt RP, Shadyab AH, Eaton C, Kaplan R, Martin LW, Panjrath G, Kuller LH, Assimes T, Kooperberg C, Wassertheil-Smoller S. Cardiovascular Disease and Mortality in Black Women Carrying the Amyloidogenic V122I Transthyretin Gene Variant. JACC. HEART FAILURE 2023; 11:1189-1199. [PMID: 36930136 PMCID: PMC10508305 DOI: 10.1016/j.jchf.2023.02.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/08/2023] [Accepted: 02/15/2023] [Indexed: 03/07/2023]
Abstract
BACKGROUND Long-term data on cardiovascular disease (CVD) and mortality in female carriers of the transthyretin (TTR) V122I (pV142I) variant, one of the most common variants of hereditary transthyretin cardiac amyloidosis, are sparse and the effects of blood pressure, heart rate, body mass index, and physical activity on CVD outcomes remain largely unknown. OBJECTIVES The aim was to first examine the relationship of TTR V122I (pV142I) carrier status with CVD and mortality and second to investigate the effects of blood pressure, heart rate, body mass index, and physical activity in a large cohort of postmenopausal women. METHODS The study population consisted of 9,862 non-Hispanic Black/African American women, 9,529 noncarriers and 333 TTR V122I carriers, enrolled in the Women's Health Initiative at 40 centers in the United States. Women were generally healthy and postmenopausal at the time of enrollment (1993-1998). CVD was defined as a composite endpoint consisting of coronary heart disease, stroke, acute heart failure or CVD death, and all-cause mortality. CVD cases were based on self-reported annual mailed health updates. All information was centrally adjudicated by trained physicians. HRs and 95% CIs were obtained from adjusted Cox proportional hazards models. RESULTS Among 9,862 Black female participants (mean age: 62 years [IQR: 56-67 years]), the population frequency of the TTR V122I variant was 3.4% (333 variant carriers and 9,529 noncarriers). During a mean follow-up of 16.1 years (IQR: 9.7-22.2 years), incident CVD occurred in 2,229 noncarriers and 96 carriers, whereas 2,689 noncarriers and 108 carriers died. In adjusted models including demographic, lifestyle, and medical history covariates, TTR V122I carriers were at higher risk of the composite endpoint CVD (HR: 1.52; 95% CI: 1.22-1.88), acute heart failure (HR: 2.21; 95% CI: 1.53-3.18), coronary heart disease (HR: 1.80; 95% CI: 1.30-2.47), CVD death (HR: 1.70; 95% CI: 1.26-2.30), and all-cause mortality (HR: 1.28; 95% CI: 1.04-1.56). The authors found a significant interaction by age but not by blood pressure, heart rate, body mass index, or physical activity. CONCLUSIONS Black female TTR V122I (pV142I) carriers have a higher CVD and all-cause mortality risk compared to noncarriers. In case of clinical suspicion of amyloidosis, they should be screened for TTR V122I (pV142I) carrier status to ensure early treatment onset.
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Affiliation(s)
- Bernhard Haring
- Department of Medicine III, Saarland University Hospital, Homburg, Saarland, Germany; Department of Medicine I, University of Würzburg, Würzburg, Bavaria, Germany; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.
| | - Rebecca P Hunt
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California-San Diego, La Jolla, California, USA
| | - Charles Eaton
- Center for Primary Care and Prevention, Department of Family Medicine, Department of Epidemiology, Warren Alpert Medical Scholl of Brown University, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Lisa Warsinger Martin
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - Gurusher Panjrath
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - Lewis H Kuller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Themistocles Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, California, USA; VA Palo Alto Health Care System, Palo Alto, California, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
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48
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Zhang X, Zhao L, Christopher CN, Tabung FK, Bao W, Garcia DO, Shadyab AH, Saquib N, Neuhouser ML, Tinker LF, Zhang X. Association of dietary insulinemic and inflammatory potential with risk of liver cancer and chronic liver disease mortality in postmenopausal women: a prospective cohort study. Am J Clin Nutr 2023; 118:530-537. [PMID: 37460062 PMCID: PMC10517210 DOI: 10.1016/j.ajcnut.2023.07.009] [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: 04/04/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Low diet quality, diabetes, and chronic inflammation are risk factors of liver cancer and chronic liver disease (CLD), but the extent to which insulinemic and inflammatory diets are independently associated with risk of liver cancer and CLD mortality is unknown. METHODS We conducted a prospective cohort analysis among 78,356 postmenopausal women in the Women's Health Initiative Observational Study. Two validated dietary indices, the empirical dietary index for hyperinsulinemia (EDIH) and the empirical dietary inflammation pattern (EDIP), were estimated from a food-frequency questionnaire. Incident cases of liver cancer and CLD mortality were adjudicated via review of medical records and linkage to National Death Index. Multivariable hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using Cox proportional hazards models, adjusted for age, diabetes, body mass index, and other covariates. RESULTS During a median 22.1 y of follow-up, we documented 176 primary liver cancer cases and 156 CLD mortality cases. EDIH was positively associated with incident liver cancer (HRQuartile 4 vs. Quartile 1 = 1.68; 95% CI: 1.00, 2.83; P-trend = 0.05) and CLD mortality (HRQ4 vs. Q1 = 2.28; 95% CI: 1.25, 4.15; P-trend = 0.02) in the multivariable model. EDIP was also positively associated with liver cancer (HRQ4 vs. Q1 = 1.88; 95% CI: 1.17, 3.03; P-trend = 0.009) and CLD mortality (HRQ4 vs. Q1 = 1.85; 95% CI: 1.09, 3.15; P-trend = 0.007). Estimates remained significant and robust in sensitivity analyses. Further analyses indicated positive associations for refined grains, processed meat, sugary beverages, and eggs, and inverse associations for coffee/tea and poultry. CONCLUSIONS Dietary insulinemic and inflammatory potentials were independently associated with higher risk of liver cancer and CLD mortality in U.S. postmenopausal women. These findings suggest a potential role for diet modification to reduce risk of liver cancer and CLD.
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Affiliation(s)
- Xinyuan Zhang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Longgang Zhao
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Cami N Christopher
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Fred K Tabung
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Internal Medicine, The Ohio State University College of Medicine and Comprehensive Cancer Center, Columbus, OH, United States
| | - Wei Bao
- Institute of Public Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - David O Garcia
- Department of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Nazmus Saquib
- Department of Clinical Sciences, College of Medicine, Sulaiman AlRajhi University, Al Bukayriyah, Saudi Arabia
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Xuehong Zhang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
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49
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Zhao L, Zhang X, Coday M, Garcia DO, Li X, Mossavar-Rahmani Y, Naughton MJ, Lopez-Pentecost M, Saquib N, Shadyab AH, Simon MS, Snetselaar LG, Tabung FK, Tobias DK, VoPham T, McGlynn KA, Sesso HD, Giovannucci E, Manson JE, Hu FB, Tinker LF, Zhang X. Sugar-Sweetened and Artificially Sweetened Beverages and Risk of Liver Cancer and Chronic Liver Disease Mortality. JAMA 2023; 330:537-546. [PMID: 37552302 PMCID: PMC10410478 DOI: 10.1001/jama.2023.12618] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 06/21/2023] [Indexed: 08/09/2023]
Abstract
Importance Approximately 65% of adults in the US consume sugar-sweetened beverages daily. Objective To study the associations between intake of sugar-sweetened beverages, artificially sweetened beverages, and incidence of liver cancer and chronic liver disease mortality. Design, Setting, and Participants A prospective cohort with 98 786 postmenopausal women aged 50 to 79 years enrolled in the Women's Health Initiative from 1993 to 1998 at 40 clinical centers in the US and were followed up to March 1, 2020. Exposures Sugar-sweetened beverage intake was assessed based on a food frequency questionnaire administered at baseline and defined as the sum of regular soft drinks and fruit drinks (not including fruit juice); artificially sweetened beverage intake was measured at 3-year follow-up. Main Outcomes and Measures The primary outcomes were (1) liver cancer incidence, and (2) mortality due to chronic liver disease, defined as death from nonalcoholic fatty liver disease, liver fibrosis, cirrhosis, alcoholic liver diseases, and chronic hepatitis. Cox proportional hazards regression models were used to estimate multivariable hazard ratios (HRs) and 95% CIs for liver cancer incidence and for chronic liver disease mortality, adjusting for potential confounders including demographics and lifestyle factors. Results During a median follow-up of 20.9 years, 207 women developed liver cancer and 148 died from chronic liver disease. At baseline, 6.8% of women consumed 1 or more sugar-sweetened beverage servings per day, and 13.1% consumed 1 or more artificially sweetened beverage servings per day at 3-year follow-up. Compared with intake of 3 or fewer servings of sugar-sweetened beverages per month, those who consumed 1 or more servings per day had a significantly higher risk of liver cancer (18.0 vs 10.3 per 100 000 person-years [P value for trend = .02]; adjusted HR, 1.85 [95% CI, 1.16-2.96]; P = .01) and chronic liver disease mortality (17.7 vs 7.1 per 100 000 person-years [P value for trend <.001]; adjusted HR, 1.68 [95% CI, 1.03-2.75]; P = .04). Compared with intake of 3 or fewer artificially sweetened beverages per month, individuals who consumed 1 or more artificially sweetened beverages per day did not have significantly increased incidence of liver cancer (11.8 vs 10.2 per 100 000 person-years [P value for trend = .70]; adjusted HR, 1.17 [95% CI, 0.70-1.94]; P = .55) or chronic liver disease mortality (7.1 vs 5.3 per 100 000 person-years [P value for trend = .32]; adjusted HR, 0.95 [95% CI, 0.49-1.84]; P = .88). Conclusions and Relevance In postmenopausal women, compared with consuming 3 or fewer servings of sugar-sweetened beverages per month, those who consumed 1 or more sugar-sweetened beverages per day had a higher incidence of liver cancer and death from chronic liver disease. Future studies should confirm these findings and identify the biological pathways of these associations.
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Affiliation(s)
- Longgang Zhao
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Xinyuan Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Mace Coday
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis
| | - David O. Garcia
- Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson
| | - Xinyi Li
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Michelle J. Naughton
- Division of Cancer Prevention and Control, College of Medicine, The Ohio State University, Columbus
| | | | - Nazmus Saquib
- College of Medicine, Sulaiman Alrajhi University, Bukariyah, Qassim, Saudi Arabia
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
| | - Michael S. Simon
- Population Studies and Prevention Program, Karmanos Cancer Institute at Wayne State University, Detroit, Michigan
- Department of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, Michigan
| | - Linda G. Snetselaar
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City
| | - Fred K. Tabung
- Department of Internal Medicine, College of Medicine and Comprehensive Cancer Center-James Cancer Hospital, Solove Research Institute, The Ohio State University, Columbus
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Deirdre K. Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Trang VoPham
- Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington, Seattle
| | - Katherine A. McGlynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Howard D. Sesso
- 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
| | - Edward 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
| | - JoAnn E. Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Frank B. Hu
- 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
| | - Lesley F. Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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50
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Shang H, Hendryx M, Liang X, Shadyab AH, Luo J. A Longitudinal Study of Sleep Habits and Leukemia Incidence Among Postmenopausal Women. Am J Epidemiol 2023; 192:1315-1325. [PMID: 37191332 DOI: 10.1093/aje/kwad118] [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: 05/05/2022] [Revised: 02/27/2023] [Accepted: 05/10/2023] [Indexed: 05/17/2023] Open
Abstract
We sought to assess the relationship between sleep duration, sleep disturbance, and leukemia incidence among postmenopausal women. This study included 130,343 postmenopausal women aged 50-79 years who were enrolled in the Women's Health Initiative (WHI) during 1993-1998. Information on self-reported typical sleep duration and sleep disturbance was obtained by questionnaire at baseline, and sleep disturbance level was defined according to the Women's Health Initiative Insomnia Rating Scale (WHIIRS). WHIIRS scores of 0-4, 5-8, and 9-20 comprised 37.0%, 32.6%, and 30.4% of all women, respectively. After an average of 16.4 years (2,135,109 cumulative person-years) of follow-up, 930 of the participants were identified as having incident leukemia. Compared with women with the lowest level of sleep disturbance (WHIIRS score 0-4), women with higher sleep disturbance levels (WHIIRS scores of 5-8 and 9-20) had 22% (95% confidence interval (CI): 1.04, 1.43) and 18% (95% CI: 1.00, 1.40) excess risks of leukemia, respectively, after multivariable adjustment. A significant dose-response trend was found for the association between sleep disturbance and leukemia risk (P for trend = 0.048). In addition, women with the highest level of sleep disturbance had a higher risk of myeloid leukemia (for WHIIRS score 9-20 vs. WHIIRS score 0-4, hazard ratio = 1.39, CI: 1.05, 1.83). Higher sleep disturbance level was associated with increased risk of leukemia, especially for myeloid leukemia among postmenopausal women.
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