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Beydoun MA, Beydoun HA, Ashe J, Georgescu MF, Horvath S, Lu A, Zannas AS, Shadyab AH, Jung SY, Wassertheil-Smoller S, Casanova R, Zonderman AB, Brunner RL. Relationships of depression and antidepressant use with epigenetic age acceleration and all-cause mortality among postmenopausal women. Aging (Albany NY) 2024; 16:8446-8471. [PMID: 38809417 PMCID: PMC11164525 DOI: 10.18632/aging.205868] [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: 10/30/2023] [Accepted: 05/03/2024] [Indexed: 05/30/2024]
Abstract
We investigated relations of depressive symptoms, antidepressant use, and epigenetic age acceleration with all-cause mortality risk among postmenopausal women. Data were analyzed from ≤1,900 participants in the Women's Health Initiative study testing four-way decomposition models. After a median 20.4y follow-up, 1,161 deaths occurred. Approximately 11% had elevated depressive symptoms (EDS+), 7% were taking antidepressant medication at baseline (ANTIDEP+), while 16.5% fell into either category (EDS_ANTIDEP+). Baseline ANTIDEP+, longitudinal transition into ANTIDEP+ and accelerated epigenetic aging directly predicted increased mortality risk. GrimAge DNA methylation age acceleration (AgeAccelGrim) partially mediated total effects of baseline ANTIDEP+ and EDS_ANTIDEP+ on all-cause mortality risk in socio-demographic factors-adjusted models (Pure Indirect Effect >0, P < 0.05; Total Effect >0, P < 0.05). Thus, higher AgeAccelGrim partially explained the relationship between antidepressant use and increased all-cause mortality risk, though only prior to controlling for lifestyle and health-related factors. Antidepressant use and epigenetic age acceleration independently predicted increased all-cause mortality risk. Further studies are needed in varying populations.
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Affiliation(s)
- May A. Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Hind A. Beydoun
- VA National Center on Homelessness Among Veterans, U.S. Department of Veterans Affairs, Washington, DC 20420, USA
- Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jason Ashe
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Michael F. Georgescu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Biostatistics, School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Ake Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Anthony S. Zannas
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, 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, CA 92093, USA
| | - Su Yon Jung
- Department of Epidemiology, Fielding School of Public Health, Translational Sciences Section, School of Nursing, University of California, Los Angeles, CA 90095, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Ramon Casanova
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - Alan B. Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Robert L. Brunner
- Department of Family and Community Medicine (Emeritus), School of Medicine, University of Nevada, Reno, NV 89557, USA
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Craig H, Gasevic D, Ryan J, Owen A, McNeil J, Woods R, Britt C, Ward S, Freak-Poli R. Socioeconomic, Behavioural, and Social Health Correlates of Optimism and Pessimism in Older Men and Women: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3259. [PMID: 36833951 PMCID: PMC9961087 DOI: 10.3390/ijerph20043259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/08/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Optimism is a disposition characterised by positive future expectancies, while pessimism is characterised by expecting the worst. High optimism and low pessimism promote the health of older adults and may potentiate full engagement in life. We identified socioeconomic, behavioural, and social factors associated with optimism and pessimism in older adults. METHODS Participants included 10,146 community-dwelling, apparently healthy Australian adults aged 70 years and over from the ASPREE Longitudinal Study of Older Persons (ALSOP). Optimism and pessimism were measured using the revised Life Orientation Test. Cross-sectional ordinal logistic regression was used to determine the socioeconomic, behavioural, and social health factors associated with optimism and pessimism. RESULTS Higher education, greater physical activity, lower loneliness, and volunteering were associated with higher optimism and lower pessimism. Low social support was associated with higher pessimism. Higher socioeconomic advantage, greater income, and living alone were associated with lower pessimism. Women were more optimistic and less pessimistic than men. The association of age, smoking status, and alcohol consumption with optimism and pessimism differed for men and women. CONCLUSIONS Factors associated with higher optimism and lower pessimism were also those demonstrated to support healthy ageing. Health-promotion action at the individual level (e.g., smoking cessation or regular physical activity), health professional level (e.g., social prescribing or improving access and quality of care for all older adults), and community level (e.g., opportunities for volunteer work or low-cost social activities for older adults) may improve optimism and reduce pessimism, possibly also promoting healthy ageing.
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Affiliation(s)
- Heather Craig
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Danijela Gasevic
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Global Health, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Alice Owen
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - John McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Robyn Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Carlene Britt
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Stephanie Ward
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW 2052, Australia
- Department of Geriatric Medicine, Prince of Wales Hospital, Randwick, NSW 2031, Australia
| | - Rosanne Freak-Poli
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC 3004, Australia
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Wang C, DeMeo DL, Kim ES, Cardenas A, Fong KC, Lee LO, Spiro A, Whitsel EA, Horvath S, Hou L, Baccarelli AA, Li Y, Stewart JD, Manson JE, Grodstein F, Kubzansky LD, Schwartz JD. Epigenome-Wide Analysis of DNA Methylation and Optimism in Women and Men. Psychosom Med 2023; 85:89-97. [PMID: 36201768 PMCID: PMC9771983 DOI: 10.1097/psy.0000000000001147] [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] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Higher optimism is associated with reduced mortality and a lower risk of age-related chronic diseases. DNA methylation (DNAm) may provide insight into mechanisms underlying these relationships. We hypothesized that DNAm would differ among older individuals who are more versus less optimistic. METHODS Using cross-sectional data from two population-based cohorts of women with diverse races/ethnicities ( n = 3816) and men (only White, n = 667), we investigated the associations of optimism with epigenome-wide leukocyte DNAm. Random-effects meta-analyses were subsequently used to pool the individual results. Significantly differentially methylated cytosine-phosphate-guanines (CpGs) were identified by the "number of independent degrees of freedom" approach: effective degrees of freedom correction using the number of principal components (PCs), explaining >95% of the variation of the DNAm data (PC-correction). We performed regional analyses using comb-p and pathway analyses using the Ingenuity Pathway Analysis software. RESULTS We found that essentially all CpGs (total probe N = 359,862) were homogeneous across sex and race/ethnicity in the DNAm-optimism association. In the single CpG site analyses based on homogeneous CpGs, we identified 13 significantly differentially methylated probes using PC-correction. We found four significantly differentially methylated regions and two significantly differentially methylated pathways. The annotated genes from the single CpG site and regional analyses are involved in psychiatric disorders, cardiovascular disease, cognitive impairment, and cancer. Identified pathways were related to cancer, and neurodevelopmental and neurodegenerative disorders. CONCLUSION Our findings provide new insights into possible mechanisms underlying optimism and health.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Dawn L. DeMeo
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Eric S. Kim
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Psychology, University of British Columbia, BC V6T 1Z4, Canada
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA
- Department of Population Medicine, Division of Chronic Disease Research Across the Lifecourse, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Kelvin C. Fong
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- School of the Environment, Yale University, New Haven, CT 06511, USA
| | - Lewina O. Lee
- National Center for Posttraumatic Stress Disorder, VA Boston Healthcare System, Boston, MA 02130, USA
- Department Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
| | - Avron Spiro
- Department Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA
- Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA 02130, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, Chapel Hill, NC 27599, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Steve Horvath
- Department of Human Genetics, University of California, Los Angeles, CA 90095, USA
- Department of Biostatistics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599 USA
| | - James D. Stewart
- Cardiovascular Program, Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, 27599, USA
| | - JoAnn E. Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Francine Grodstein
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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Oh J, Purol MF, Weidmann R, Chopik WJ, Kim ES, Baranski E, Schwaba T, Lodi-Smith J, Whitbourne SK. Health and well-being consequences of optimism across 25 years in the Rochester Adult Longitudinal Study. JOURNAL OF RESEARCH IN PERSONALITY 2022. [DOI: 10.1016/j.jrp.2022.104237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Lee HH, Kubzansky LD, Okuzono SS, Trudel-Fitzgerald C, James P, Koga HK, Kim ES, Glover LM, Sims M, Grodstein F. Optimism and risk of mortality among African-Americans: The Jackson heart study. Prev Med 2022; 154:106899. [PMID: 34863812 PMCID: PMC8754053 DOI: 10.1016/j.ypmed.2021.106899] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 11/23/2021] [Accepted: 11/28/2021] [Indexed: 01/07/2023]
Abstract
Optimism is associated with reduced mortality risk among Whites, but evidence for this relationship is limited among African-Americans, whose life expectancy is shorter than Whites. This study examined the association between optimism and mortality rate in African-Americans. Data were from African-American women (n = 2652) and men (n = 1444) in the United States from the Jackson Heart Study. Optimism was measured using the Life Orientation Test-Revised at the baseline period (2000-2004), and mortality data were obtained until 2018. Using Cox proportional hazards models, we estimated hazard ratios (HRs) of mortality by optimism level, controlling for sociodemographic factors, depressive symptoms, health conditions, and health behaviors. In secondary analyses, we evaluated potential effect modification by sex, age, income, and education. Higher optimism was related to lower mortality rates (HR = 0.85, 95% confidence interval [CI] = 0.74, 0.99), controlling for sociodemographic factors and depressive symptoms. After further adjusting for health conditions and health behaviors, associations were slightly attenuated (HR = 0.89; 95%CI = 0.77, 1.02). Stronger associations between optimism and mortality were observed in men, among those with higher income or education, and with age ≤ 55 (all p's for interaction terms <0.06). In summary, optimism was associated with lower mortality rates among African-Americans in the Jackson Heart Study. Effect modification by sociodemographic factors should be further explored in additional research considering optimism and mortality in diverse populations. Positive factors, such as optimism, may provide important health assets that can complement ongoing public health efforts to reduce health disparities, which have traditionally focused primarily on risk factors.
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Affiliation(s)
- Harold H Lee
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, University of North Carolina at Chapel Hill, NC, USA.
| | - Laura D Kubzansky
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sakurako S Okuzono
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Claudia Trudel-Fitzgerald
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hayami K Koga
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric S Kim
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - LáShauntá M Glover
- Department of Epidemiology, University of North Carolina at Chapel Hill, NC, USA
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
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Arbel R, Segel-Karpas D, Chopik W. Optimism, pessimism, and health biomarkers in older couples. Br J Health Psychol 2020; 25:1055-1073. [PMID: 32914524 DOI: 10.1111/bjhp.12466] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 07/21/2020] [Accepted: 07/27/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Studies have demonstrated the importance of optimism in predicting perceived general health. However, the handful of studies focusing on cardiovascular biomarkers show inconsistent effects. Additionally, no study examined whether spousal levels of optimism and pessimism affect an individual's biological markers of cardiovascular health. Thus, our objectives were to examine whether partners' optimism and pessimism affect individual biological markers, differentiating between between-dyad associations and within-dyad predictive processes. METHODS Three waves of the Health and Retirement Study collected in 2006, 2010, and 2014 were used to test actor and partner effects of optimism and pessimism on C-reactive protein (CRP) and high-density lipoprotein. Multilevel longitudinal actor-partner models were used to examine the contribution of a partner's optimism and pessimism to each biomarker, adjusting for respondent's age, sex, depression, body mass index, daily activity levels, and a summary score of respondent's doctor-diagnosed chronic conditions. RESULTS Partners' pessimism and optimism levels were moderately associated. Results for within-person effects were all non-significant, both within and across waves. Associations at the between-person level were also non-significant, with the exception of a positive association between husbands' pessimism and their own CRP, and husbands' optimism and their wives' CRP. CONCLUSIONS Results suggest that optimism and pessimism may not play a pertinent role in within variability of biomarkers of cardiovascular diseases and have a minor role in predicting to between-person variability of biomarkers of cardiovascular diseases.
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Affiliation(s)
- Reout Arbel
- Department of Counseling and Human Development, The Faculty of Education, University of Haifa, Israel
| | | | - William Chopik
- Department of Psychology, Michigan State University, East Lansing, Michigan, USA
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Abstract
OBJECTIVE Mounting evidence suggests that higher optimism is associated with reduced risk of age-related morbidities and premature mortality. However, possible biological mechanisms underlying these associations remain understudied. One hypothesized mechanism is a slower rate of cellular aging, which in turn delays age-related declines in health. METHODS We used data from two large cohort studies to test the hypothesis that higher optimism is associated with longer leukocyte telomere length. With cross-sectional data from the Health and Retirement Study (HRS; n = 6417; mean age = 70 years) and the Women's Health Initiative (WHI; N = 3582; mean age = 63 years), we used linear regression models to examine the association of optimism with relative telomere length (assessed in leukocytes from saliva [HRS] or plasma [WHI]). Models adjusted for sociodemographics, depression, health status, and health behaviors. RESULTS Considering both optimism and telomere length as continuous variables, we found consistently null associations in both cohorts, regardless of which covariates were included in the models. In models adjusting for demographics, depression, comorbidities, and health behaviors, optimism was not associated with mean relative telomere length (HRS: β = -0.002, 95% confidence interval = -0.014 to 0.011; WHI: β = -0.004, 95% confidence interval = -0.017 to 0.009). CONCLUSIONS Findings do not support mean telomere length as a mechanism that explains observed relations of optimism with reduced risk of chronic disease in older adults. Future research is needed to evaluate other potential biological markers and pathways.
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