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Cocchi C, Zazzara MB, Levati E, Calvani R, Onder G. How to promote healthy aging across the life cycle. Eur J Intern Med 2025; 135:5-13. [PMID: 40107887 DOI: 10.1016/j.ejim.2025.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2025] [Revised: 02/23/2025] [Accepted: 03/04/2025] [Indexed: 03/22/2025]
Abstract
The global rise in aging populations is challenging healthcare systems, especially in developed countries. Despite advancements in healthcare and living standards, the extension of lifespan has not been matched by an equivalent improvement in healthspan, leading to a higher prevalence of chronic diseases and disabilities in older adults. This review examines strategies to promote healthy aging throughout the life cycle, emphasizing the importance of a comprehensive strategy that integrates individual, healthcare, and environmental approaches. Individual strategies include lifestyle factors like diet, physical activity, and social connections. Healthcare approaches focus on improving health literacy, vaccinations, and screenings. Environmental approaches aim to mitigate climate change, reduce pollution, and design longevity-ready cities. A comprehensive strategy combining individual approaches, public health measures, innovative policies, and community support is essential for helping populations live longer, healthier, and more independent lives. Looking forward, this will be complemented by personalized approaches, focusing on individual traits and biological backgrounds. The key to this lies in geroscience, which studies the biological and molecular mechanisms of aging and how they contribute to age-related diseases and functional decline, aiming to design targeted interventions to slow aging and improve quality of life. Artificial intelligence will play a key role in analyzing these complex factors and creating innovative solutions. In conclusion, aging is shaped by various factors, requiring more than one solution. A combination of comprehensive and personalized strategies can bridge the gap between public health measures and personalized care, offering the scientific insights needed to slow aging and enhance quality of life.
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Affiliation(s)
- Camilla Cocchi
- Fondazione Policlinico Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Maria Beatrice Zazzara
- Fondazione Policlinico Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore, Rome, Italy
| | - Elena Levati
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Riccardo Calvani
- Fondazione Policlinico Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore, Rome, Italy
| | - Graziano Onder
- Fondazione Policlinico Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore, Rome, Italy
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Kelly C, Trumpff C, Acosta C, Assuras S, Baker J, Basarrate S, Behnke A, Bo K, Bobba-Alves N, Champagne FA, Conklin Q, Cross M, De Jager P, Engelstad K, Epel E, Franklin SG, Hirano M, Huang Q, Junker A, Juster RP, Kapri D, Kirschbaum C, Kurade M, Lauriola V, Li S, Liu CC, Liu G, McEwen B, McGill MA, McIntyre K, Monzel AS, Michelson J, Prather AA, Puterman E, Rosales XQ, Shapiro PA, Shire D, Slavich GM, Sloan RP, Smith JLM, Spann M, Spicer J, Sturm G, Tepler S, de Schotten MT, Wager TD, Picard M. A platform to map the mind-mitochondria connection and the hallmarks of psychobiology: the MiSBIE study. Trends Endocrinol Metab 2024; 35:884-901. [PMID: 39389809 PMCID: PMC11555495 DOI: 10.1016/j.tem.2024.08.006] [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: 07/21/2024] [Revised: 08/16/2024] [Accepted: 08/16/2024] [Indexed: 10/12/2024]
Abstract
Health emerges from coordinated psychobiological processes powered by mitochondrial energy transformation. But how do mitochondria regulate the multisystem responses that shape resilience and disease risk across the lifespan? The Mitochondrial Stress, Brain Imaging, and Epigenetics (MiSBIE) study was established to address this question and determine how mitochondria influence the interconnected neuroendocrine, immune, metabolic, cardiovascular, cognitive, and emotional systems among individuals spanning the spectrum of mitochondrial energy transformation capacity, including participants with rare mitochondrial DNA (mtDNA) lesions causing mitochondrial diseases (MitoDs). This interdisciplinary effort is expected to generate new insights into the pathophysiology of MitoDs, provide a foundation to develop novel biomarkers of human health, and integrate our fragmented knowledge of bioenergetic, brain-body, and mind-mitochondria processes relevant to medicine and public health.
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Affiliation(s)
- Catherine Kelly
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Caroline Trumpff
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Carlos Acosta
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Stephanie Assuras
- Department of Clinical Neuropsychology, Division of Cognitive Neuroscience, Columbia University Irving Medical Center, New York, NY, USA
| | - Jack Baker
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Sophia Basarrate
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Alexander Behnke
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; Clinical and Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Ke Bo
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Natalia Bobba-Alves
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Quinn Conklin
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Marissa Cross
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Philip De Jager
- Center for Translational and Computational Neuroimmunology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Kris Engelstad
- H. Houston Merritt Center for Neuromuscular and Mitochondrial Disorders, Columbia Translational Neuroscience Initiative, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Elissa Epel
- Weill Institute for Neurosciences, Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Soah G Franklin
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Michio Hirano
- H. Houston Merritt Center for Neuromuscular and Mitochondrial Disorders, Columbia Translational Neuroscience Initiative, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Qiuhan Huang
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Alex Junker
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Robert-Paul Juster
- Department of Psychiatry and Addiction, University of Montreal, Montreal, Quebec, Canada
| | - Darshana Kapri
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Clemens Kirschbaum
- Faculty of Psychology, Institute of Biopsychology, Technical University Dresden, Dresden, Germany
| | - Mangesh Kurade
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Vincenzo Lauriola
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Shufang Li
- H. Houston Merritt Center for Neuromuscular and Mitochondrial Disorders, Columbia Translational Neuroscience Initiative, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Cynthia C Liu
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Grace Liu
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Bruce McEwen
- Laboratory of Neuroendocrinology, The Rockefeller University, New York, NY, USA
| | - Marlon A McGill
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Kathleen McIntyre
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Anna S Monzel
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Jeremy Michelson
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Aric A Prather
- Weill Institute for Neurosciences, Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Eli Puterman
- School of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Xiomara Q Rosales
- H. Houston Merritt Center for Neuromuscular and Mitochondrial Disorders, Columbia Translational Neuroscience Initiative, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Peter A Shapiro
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; Consultation-Liaison Psychiatry, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - David Shire
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - George M Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Richard P Sloan
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Janell L M Smith
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Marisa Spann
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Julie Spicer
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gabriel Sturm
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Sophia Tepler
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Michel Thiebaut de Schotten
- Brain Connectivity and Behavior Laboratory, Paris, France; Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France
| | - Tor D Wager
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Martin Picard
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; H. Houston Merritt Center for Neuromuscular and Mitochondrial Disorders, Columbia Translational Neuroscience Initiative, Department of Neurology, Columbia University Medical Center, New York, NY, USA; Robert N. Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA.
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3
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Ma X, Feng W, Shi C, Wang Y, Gao Q, Cai W, An H, Jing Q, Gao R, Ma A. Association between the location of social medical insurance and social integration among China's elderly rural migrants: a nationwide cross-sectional study. BMC Public Health 2023; 23:2108. [PMID: 37884916 PMCID: PMC10604806 DOI: 10.1186/s12889-023-16956-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/11/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Universal social medical insurance coverage is viewed as a major factor in promoting social integration, but insufficient evidence exists on the integration of elderly rural migrants (ERM), generally aged 60 years and above, in low- and middle-income countries. To address this problem, we explore the relationship between the location of social medical insurance (SMI), such as a host city, and social integration in the context of Chinese ERM. METHODS This study is based on data from the 2017 National Internal Migrant Dynamic Monitoring Survey in China. The study participants were Chinese ERM. An integration index was constructed to measure the degree of social integration in a multi-dimensional manner using a factor analysis method. This study used descriptive statistics and one-way analysis of variance to explore the differences in social integration between ERM with SMI from host cities and hometowns. Stepwise multiple linear regression analysis was used to test the correlation between SMI location and social integration level in the overall sample. Finally, the results were verified by propensity score matching. RESULTS It was found that 606 (18.2%) of the insured ERM chose host city SMI, while 2727 (81.8%) chose hometown SMI. The level of social integration was lower among ERM with hometown SMI (-1.438 ± 32.795, F = 28.311, p ≤ 0.01) than those with host city SMI (6.649 ± 34.383). Among the dimensions of social integration, social participation contributed more than other factors, with a contribution rate of 45.42%. Host city SMI increased the probability of the social integration index by 647% among ERM (k-nearest neighbor caliper matched (n = 4, caliper = 0.02), with a full sample ATT value of 6.47 (T = 5.32, SE = 1.48, p < 0.05)). CONCLUSIONS ERM with host city SMI have a higher social integration level than those with hometowns SMI. That is, host city SMI positively affects social integration. Policymakers should focus on the access of host city SMI for ERM. Removing the threshold of host city SMI coverage for ERM can promote social integration.
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Affiliation(s)
- Xiaojie Ma
- School of Public Health, Weifang Medical University, Weifang, 261000, China
| | - Wenjia Feng
- School of Public Health, Weifang Medical University, Weifang, 261000, China
| | - Chaojun Shi
- School of Public Health, Weifang Medical University, Weifang, 261000, China
| | - Yifan Wang
- School of Public Health, Weifang Medical University, Weifang, 261000, China
| | - Qianqian Gao
- School of Management, Weifang Medical University, Weifang, 261000, China.
- Institute of Public Health Crisis Management, Weifang Medical University, Weifang, China.
| | - Weiqin Cai
- School of Management, Weifang Medical University, Weifang, 261000, China.
- Institute of Public Health Crisis Management, Weifang Medical University, Weifang, China.
| | - Hongqing An
- School of Public Health, Weifang Medical University, Weifang, 261000, China
- Institute of Public Health Crisis Management, Weifang Medical University, Weifang, China
| | - Qi Jing
- School of Management, Weifang Medical University, Weifang, 261000, China
- Institute of Public Health Crisis Management, Weifang Medical University, Weifang, China
| | - Runguo Gao
- School of Public Health, Weifang Medical University, Weifang, 261000, China
- Institute of Public Health Crisis Management, Weifang Medical University, Weifang, China
| | - Anning Ma
- School of Public Health, Weifang Medical University, Weifang, 261000, China
- Institute of Public Health Crisis Management, Weifang Medical University, Weifang, China
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4
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Wang X, Liu J, Zhu J, Bai Y, Wang J. The association between social integration and utilization of primary health care among migrants in China: a nationwide cross-sectional study. Int J Equity Health 2023; 22:210. [PMID: 37814276 PMCID: PMC10561491 DOI: 10.1186/s12939-023-02018-x] [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] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 09/19/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND Migrants is a large population in China. To improve the health and wellbeing of migrants is a critical policy and social issue in China, and to enhance the utilization of primary health care by migrants is one of the most important approaches in promoting equity in health. However, there exists little research about the association between social integration and the utilization of primary health care. To address the research gap, this research aims at exploring the relation between social integration and the utilization of primary health care among migrants in China. METHODS Using the national data from China Migrants Dynamic Survey (CMDS) in 2017, 169,989 migrants were included in this study. Social integration was measured by social communication, acculturation and self-identity, with 8 indicators. The utilization of primary health care was measured by the receiving of health education on infectious diseases (ID) and noncommunicable diseases (NCD) as well as the first visit institution when migrants were sick. After the descriptive statistical analysis, binary logistic regression was employed to evaluate the association between social integration and the utilization of primary health care. RESULTS 65.99% of the migrants received health education on infectious diseases (ID), 40.11% of the migrants received health education on noncommunicable diseases (NCD) and 8.48% of the migrants chose to go to Community Health Center (CHC) seeking for health services. There was a positive effect of social organization participation, the influence of hometown customs, differences of hygiene habits between migrants and local people, integration willingness and evaluation of identity on the receiving of health education on ID and NCD, as well as a positive effect of civil activities engagement and differences of hygiene habits between migrants and local people on the utilization of CHC after getting sick. CONCLUSIONS Social integration was associated with the utilization of primary health care among migrants in China. Generally speaking, greater social integration was associated with higher possibility of receiving health education on ID and NCD. However, the effect of social integration on the utilization of CHC was more complex among different indicators. There should be more policy interventions to improve the social integration of migrant which help them to get familiar with the health resource available, as well as improve the capacity of CHC.
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Affiliation(s)
- Xueyao Wang
- Center for Health Policy Research and Evaluation, Renmin University of China, Beijing, 100872, China
- School of Public Administration and Policy, Renmin University of China, Beijing, 100872, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, 100080, China
- Institute for Global Health and Development, Peking University, Beijing, 100871, China
- Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing, 100083, China
| | - Jingmin Zhu
- Department of Epidemiology and Public Health, University College London, London, WC1E 7HB, UK.
| | - Yang Bai
- Center for Health Policy Research and Evaluation, Renmin University of China, Beijing, 100872, China
- School of Public Administration and Policy, Renmin University of China, Beijing, 100872, China
| | - Jun Wang
- Center for Health Policy Research and Evaluation, Renmin University of China, Beijing, 100872, China.
- Beijing Famous Cultural Artist Studio--Health Beijing Governance Theory Creation Studio, Beijing, 100872, China.
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5
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Lee HH, Okuzono SS, Trudel-Fitzgerald C, James P, Koga HK, Sims M, Grodstein F, Kubzansky LD. Social integration and risk of mortality among African-Americans: the Jackson heart study. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1317-1327. [PMID: 37193908 PMCID: PMC10423160 DOI: 10.1007/s00127-023-02485-1] [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: 06/07/2022] [Accepted: 04/26/2023] [Indexed: 05/18/2023]
Abstract
OBJECTIVE Evidence suggests that greater social integration is related to lower mortality rates. However, studies among African-Americans are limited. We examined whether higher social integration was associated with lower mortality in 5306 African-Americans from the Jackson Heart Study, who completed the Berkman-Syme Social Network Index in 2000-2004 and were followed until 2018. METHODS We estimated hazard ratios (HR) of mortality by categories of the Social Network Index (i.e., high social isolation, moderate social isolation [reference group], moderate social integration, high social integration) using Cox proportional hazard models. Covariates included baseline sociodemographics, depressive symptoms, health conditions, and health behaviors. RESULTS Compared with moderate isolation, moderate integration was associated with an 11% lower mortality rate (HR = 0.89, 95% confidence interval [CI] 0.77, 1.03), and high integration was associated with a 25% lower mortality rate (HR = 0.75, 95% CI 0.64, 0.87), controlling for sociodemographics and depressive symptoms; compared with moderate isolation, high isolation was related to a 34% higher mortality rate (HR = 1.34, 95% CI 1.00, 1.79). Further adjustment of potential mediators (health conditions and health behaviors) only slightly attenuated HRs (e.g., HRmoderate integration = 0.90, 95% CI 0.78, 1.05; HRhigh integration = 0.77, 95% CI 0.66, 0.89). CONCLUSION Social integration may be a psychosocial health asset with future work needed to identify biobehavioral processes underlying observed associations with mortality among African-Americans.
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Affiliation(s)
- Harold H Lee
- Department of Social and 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.
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, 124 Biobehavioral Health Building, University Park, PA, 16802, USA.
| | - Sakurako S Okuzono
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Claudia Trudel-Fitzgerald
- Department of Social and 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
- Department of Psychology at Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
- Research Center of Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada
| | - 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 and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mario Sims
- Department of Social Medicine, Population and Public Health, School of Medicine, University of California at Riverside, Riverside, CA, USA
| | | | - Laura D Kubzansky
- Department of Social and 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
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Weziak-Bialowolska D, Lee MT, Bialowolski P, Chen Y, VanderWeele TJ, McNeely E. Prospective associations between strengths of moral character and health: longitudinal evidence from survey and insurance claims data. Soc Psychiatry Psychiatr Epidemiol 2023; 58:163-176. [PMID: 35916915 PMCID: PMC9344441 DOI: 10.1007/s00127-022-02344-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 07/19/2022] [Indexed: 01/20/2023]
Abstract
PURPOSE Excellent character, reflected in adherence to high standards of moral behavior, has been argued to contribute to well-being. The study goes beyond this claim and provides insights into the role of strengths of moral character (SMC) for physical and mental health. METHODS This study used longitudinal observational data merged with medical insurance claims data collected from 1209 working adults of a large services organization in the US. Self-reported physical and mental health as well as diagnostic information on depression, anxiety, and cardiovascular disease were used as outcomes. The prospective associations between SMC (7 indicators and a composite measure) and physical and mental health outcomes were examined using lagged linear and logistic regression models. A series of sensitivity analyses provided evidence for the robustness of results. RESULTS The results suggest that persons who live their life according to high moral standards have substantially lower odds of depression (by 21-51%). The results were also indicative of positive associations between SMC and self-reports of mental health (β = 0.048-0.118) and physical health (β = 0.048-0.096). Weaker indications were found for a protective role of SMC in mitigating anxiety (OR = 0.797 for the indicator of delayed gratification) and cardiovascular disease (OR = 0.389 for the indicator of use of SMC for helping others). CONCLUSIONS SMC may be considered relevant for population mental health and physical health. Public health policies promoting SMC are likely to receive positive reception from the general public because character is both malleable and aligned with the nearly universal human desire to become a better person.
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Affiliation(s)
- Dorota Weziak-Bialowolska
- Sustainability and Health Initiative (SHINE), Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA. .,Human Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA. .,Centre for Evaluation and Analysis of Public Policies, Faculty of Philosophy, Jagiellonian University, Cracow, Poland.
| | - Matthew T. Lee
- Human Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA USA , Institute for Studies of Religion, Baylor University, Waco, TX, USA
| | - Piotr Bialowolski
- Sustainability and Health Initiative (SHINE), Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA USA ,Human Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA USA ,Department of Economics, Kozminski University, Warsaw, Poland
| | - Ying Chen
- Human Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA USA ,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA USA
| | - Tyler J. VanderWeele
- Human Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA USA ,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA USA
| | - Eileen McNeely
- Sustainability and Health Initiative (SHINE), Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA USA
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7
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Trudel-Fitzgerald C, Chen R, Lee LO, Kubzansky LD. Are coping strategies and variability in their use associated with lifespan? J Psychosom Res 2022; 162:111035. [PMID: 36152346 PMCID: PMC10410682 DOI: 10.1016/j.jpsychores.2022.111035] [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: 05/05/2022] [Revised: 09/06/2022] [Accepted: 09/06/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Some stress-related coping strategies contribute to survival among medical populations, but it is unclear if they relate to longevity in the general population. While coping strategies are characterized as being adaptive or maladaptive, whether capacity to tailor their implementation to different contexts (i.e., flexibility of use) may influence lifespan is unknown. METHOD In 2004-2006, participants from the Midlife Development in the United States study completed a validated coping inventory including 6 strategies and provided information on sociodemographics, health status, and biobehavioral factors (N = 4398). Deaths were ascertained from death registries with follow-up until 2018. Accelerated failure time models estimated percent changes and 95% confidence intervals (CI) in predicted lifespan associated with use of individual coping strategies. As a proxy for flexibility, participants were also classified as having lower, moderate, or greater variability in strategies used, using a standard deviation-based algorithm. RESULTS After controlling for sociodemographics and health status, maladaptive strategies (e.g., per 1-SD increase in Denial = -5.50, 95%CI = -10.50, -0.21) but not adaptive strategies (e.g., Planning) were related to shorter lifespan. Greater versus moderate variability levels were related to a 15% shorter lifespan. Estimates were somewhat attenuated when further controlling for lifestyle factors. CONCLUSION Although most associations were of modest magnitude, use of some maladaptive coping strategies appeared related to shorter lifespan. Compared to moderate levels, greater coping variability levels were also clearly detrimental for lifespan. Although adaptive strategies were unrelated to longevity, future work should examine other favorable strategies (e.g., acceptance) and more direct measures of flexibility (e.g., experience sampling methods).
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Affiliation(s)
- Claudia Trudel-Fitzgerald
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, United States; Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, United States.
| | - Ruijia Chen
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, United States.
| | - Lewina O Lee
- National Center for Posttraumatic Stress Disorder, Veterans Affairs Boston Healthcare System, United States; Department of Psychiatry, Boston University School of Medicine, United States.
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, United States; Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, United States.
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Okuzono SS, Shiba K, Lee HH, Shirai K, Koga HK, Kondo N, Fujiwara T, Kondo K, Grodstein F, Kubzansky LD, Trudel-Fitzgerald C. Optimism and Longevity Among Japanese Older Adults. JOURNAL OF HAPPINESS STUDIES 2022; 23:2581-2595. [PMID: 36919080 PMCID: PMC10010677 DOI: 10.1007/s10902-022-00511-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/07/2022] [Indexed: 06/18/2023]
Abstract
BACKGROUND Optimism has been linked to better physical health across various outcomes, including greater longevity. However, most evidence is from Western populations, leaving it unclear whether these relationships may generalize to other cultural backgrounds. Using secondary data analysis, we evaluated the associations of optimism among older Japanese adults. METHODS Data were from a nationwide cohort study of Japanese older adults aged ≥65 years (Japan Gerontological Evaluation Study; n = 10,472). In 2010, optimism and relevant covariates (i.e., sociodemographic factors, physical health conditions, depressive symptoms, and health behaviors) were self-reported. Optimism was measured using the Japanese version of the Life Orientation Test-Revised (LOT-R). Lifespan was determined using mortality information from the public long-term care insurance database through 2017 (7-year follow-up). Accelerated failure time models examined optimism (quintiles or standardized continuous scores) in relation to percent differences in lifespan. Potential effect modification by gender, income, and education was also investigated. RESULTS Overall, 733 individuals (7%) died during the follow-up period. Neither continuous nor categorical levels of optimism were associated with lifespan after progressive adjustment for covariates (e.g., in fully-adjusted models: percent differences in lifespan per 1-SD increase in continuous optimism scores= -1.2%, 95%CI: -3.4, 1.1 higher versus lower optimism quintiles= -4.1%, 95%CI: -11.2, 3.6). The association between optimism and lifespan was null across all sociodemographic strata as well. CONCLUSION Contrary to the existing evidence from Western populations, optimism was unrelated to longevity among Japanese older adults. The association between optimism, as evaluated by the LOT-R, and longevity may differ across cultural contexts.
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Affiliation(s)
- Sakurako S. Okuzono
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, MA, USA
- Department of Global Health Promotion, Tokyo Medical and Dental University, Japan
| | - Koichiro Shiba
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, MA, USA
- Human Flourishing Program, Harvard Institute for Quantitative Social Science, MA, USA
| | - Harold H. Lee
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, MA, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, MA, USA
| | - Kokoro Shirai
- Department of Public Health, Graduate School of Medicine, Osaka University, Japan
| | - Hayami K. Koga
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, MA, USA
| | - Naoki Kondo
- Department of Social Epidemiology, Kyoto University School of Public Health, Kyoto, Japan
| | - Takeo Fujiwara
- Department of Global Health Promotion, Tokyo Medical and Dental University, Japan
| | - Katsunori Kondo
- Department of Gerontological Evaluation, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
- Department of Social Preventive Medical Sciences, Center for Preventive Medical Sciences, Chiba University, Chiba, Japan
| | - Fran Grodstein
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, MA, USA
- Rush Alzheimer’s Disease Center, Rush Medical College, Chicago, IL, USA
| | - Laura D. Kubzansky
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, MA, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, MA, USA
| | - Claudia Trudel-Fitzgerald
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, MA, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, MA, USA
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Weziak-Bialowolska D, Bialowolski P, Lee MT, Chen Y, VanderWeele TJ, McNeely E. Prospective Associations Between Social Connectedness and Mental Health. Evidence From a Longitudinal Survey and Health Insurance Claims Data. Int J Public Health 2022; 67:1604710. [PMID: 35755953 PMCID: PMC9218058 DOI: 10.3389/ijph.2022.1604710] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 05/16/2022] [Indexed: 12/13/2022] Open
Abstract
Objectives: Evidence on social stimuli associated with mental health is based mostly on self-reported health measures. We aimed to examine prospective associations between social connectedness and clinical diagnosis of depression and of anxiety. Methods: Longitudinal observational data merged with health insurance data comprising medical information on diagnosis of depression and anxiety were used. 1,209 randomly sampled employees of a US employer provided data for the analysis. Robust Poisson regression models were used. Multiple imputation was conducted to handle missing data on covariates. Results: Better social connectedness was associated with lower risks of subsequently diagnosed depression and anxiety, over a one-year follow-up period. Reports of feeling lonely were associated with increased risks of depression and anxiety. Association between community-related social connectedness and subsequent diagnosis of depression, but not of anxiety, was found. The associations were independent of demographics, socioeconomic status, lifestyle, and work characteristics. They were also robust to unmeasured confounding, missing data patterns, and prior health conditions. Conclusion: Social connectedness may be an important factor for reducing risks of depression and anxiety. Loneliness should be perceived as a risk factor for depression and anxiety.
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Affiliation(s)
- Dorota Weziak-Bialowolska
- Department of Environmental Health, School of Public Health, Harvard University, Boston, MA, United States
- Institute for Quantitative Social Science, Harvard University, Cambridge, MA, United States
- Center for Evaluation and Analysis of Public Policies, Faculty of Philosophy, Jagiellonian University, Kraków, Poland
| | - Piotr Bialowolski
- Department of Environmental Health, School of Public Health, Harvard University, Boston, MA, United States
- Institute for Quantitative Social Science, Harvard University, Cambridge, MA, United States
- Department of Economics, Kozminski University, Warsaw, Poland
| | - Matthew T. Lee
- Institute for Quantitative Social Science, Harvard University, Cambridge, MA, United States
| | - Ying Chen
- Institute for Quantitative Social Science, Harvard University, Cambridge, MA, United States
- Department of Epidemiology, School of Public Health, Harvard University, Boston, MA, United States
| | - Tyler J. VanderWeele
- Institute for Quantitative Social Science, Harvard University, Cambridge, MA, United States
- Department of Epidemiology, School of Public Health, Harvard University, Boston, MA, United States
| | - Eileen McNeely
- Department of Environmental Health, School of Public Health, Harvard University, Boston, MA, United States
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Associations of face-to-face and non-face-to-face social isolation with all-cause and cause-specific mortality: 13-year follow-up of the Guangzhou Biobank Cohort study. BMC Med 2022; 20:178. [PMID: 35501792 PMCID: PMC9059436 DOI: 10.1186/s12916-022-02368-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 04/06/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Although social isolation has been associated with a higher mortality risk, little is known about the potential different impacts of face-to-face and non-face-to-face isolation on mortality. We examined the prospective associations of four types of social isolation, including face-to-face isolation with co-inhabitants and non-co-inhabitants, non-face-to-face isolation, and club/organization isolation, with all-cause and cause-specific mortality separately. METHODS This prospective cohort study included 30,430 adults in Guangzhou Biobank Cohort Study (GBCS), who were recruited during 2003-2008 and followed up till Dec 2019. RESULTS During an average of 13.2 years of follow-up, 4933 deaths occurred during 396,466 person-years. Participants who lived alone had higher risks of all-cause (adjusted hazard ratio (AHR) 1.24; 95% confidence interval (CI) 1.04-1.49) and cardiovascular disease (CVD) (1.61; 1.20-2.03) mortality than those who had ≥ 3 co-habitant contact after adjustment for thirteen potential confounders. Compared with those who had ≥ 1 time/month non-co-inhabitant contact, those without such contact had higher risks of all-cause (1.60; 1.20-2.00) and CVD (1.91; 1.20-2.62) mortality. The corresponding AHR (95% CI) in participants without telephone/mail contact were 1.27 (1.14-1.42) for all-cause, 1.30 (1.08-1.56) for CVD, and 1.37 (1.12-1.67) for other-cause mortality. However, no association of club/organization contact with the above mortality and no association of all four types of isolation with cancer mortality were found. CONCLUSIONS In this cohort study, face-to-face and non-face-to-face isolation were both positively associated with all-cause, CVD-, and other-cause (but not cancer) mortality. Our finding suggests a need to promote non-face-to-face contact among middle-aged and older adults.
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11
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Quach LT, Cho K, Driver JA, Ward R, Spiro A, Dugan E, Gaziano MJ, Djousse L, Rudolph JL, Gagnon DR. Social Characteristics, Health, and Mortality Among Male Centenarians Using Veterans Affairs (VA) Health Care. Res Aging 2022; 44:136-143. [PMID: 33779393 PMCID: PMC10756333 DOI: 10.1177/01640275211000724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
We studied male centenarian Veterans using VA health care to understand the impact of social characteristics on their annual mortality rate, adjusting for prevalent health conditions. This longitudinal study used VA Electronic Health Record data from 1997 to 2012 (n = 1,858). Covariates included age, race, marital status, and periods of military service. The mean age was 100.4 ± 1.4 years, 76% were white, and 49% were married. The average annual mortality rate was 32 per 100 person-years. The annual mortality rate was stable and not affected by race but did vary by marital status. Divorced or separated centenarians had a 21% higher rate of death than married centenarians. A diagnosis of dementia or of congestive heart failure each increased the mortality risk by 37%. Providers should consider prevalent health conditions, as well as marital status, in managing care of centenarian Veterans.
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Affiliation(s)
- Lien T. Quach
- VA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA
- Department of Gerontology, The University of Massachusetts Boston, MA, USA
- Providence VA Medical Center, Providence, RI, USA
| | - Kelly Cho
- VA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA
- Division of Aging, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jane A. Driver
- VA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA
- Providence VA Medical Center, Providence, RI, USA
- Division of Aging, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Rachel Ward
- VA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Avron Spiro
- VA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA
- Brown University, Providence, RI, USA
| | - Elizabeth Dugan
- Department of Gerontology, The University of Massachusetts Boston, MA, USA
| | - Michael J. Gaziano
- VA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA
- Division of Aging, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Luc Djousse
- VA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA
- Division of Aging, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - James L. Rudolph
- Providence VA Medical Center, Providence, RI, USA
- Brown University, Providence, RI, USA
| | - David R. Gagnon
- VA Boston Healthcare System, Massachusetts Veterans Epidemiology Research and Information Center, MA, USA
- Brown University, Providence, RI, USA
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12
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Brandts L, van Tilburg TG, Bosma H, Huisman M, van den Brandt PA. Loneliness in Later Life and Reaching Longevity: Findings From the Longitudinal Aging Study Amsterdam. J Gerontol B Psychol Sci Soc Sci 2021; 76:415-424. [PMID: 32880641 PMCID: PMC7813181 DOI: 10.1093/geronb/gbaa145] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Indexed: 11/14/2022] Open
Abstract
Objectives There is an increasing research interest in factors that characterize those who reach exceptionally old ages. Although loneliness is often associated with an increased risk for premature mortality, its relationship with reaching longevity is still unclear. We aimed to quantify the association between (social/emotional) loneliness and the likelihood of reaching the age of 90 years in men and women separately. Methods For these analyses, data from the Longitudinal Aging Study Amsterdam (LASA) were used. Loneliness, social loneliness, and emotional loneliness were assessed at baseline using the 11-item De Jong-Gierveld scale in 1992–1993 (at age 64–85 years). Follow-up for vital status information until the age of 90 years was 99.5% completed. Multivariable-adjusted Cox regression analyses with a fixed follow-up time were based on 1,032 men and 1,078 women to calculate risk ratios (RR) of reaching 90 years. Results No significant associations were observed between loneliness and reaching 90 years in both men (RR, 0.90; 95% confidence interval [CI], 0.70–1.14) and women (RR, 0.98; 95% CI, 0.83–1.14). Social loneliness was significantly associated with a reduced chance of reaching 90 years in women (RR, 0.82; 95% CI, 0.67–0.99). Discussion The current analyses did not show support for the existence of a meaningful effect of loneliness on reaching longevity in both sexes. When investigating specific dimensions of loneliness, we observed that reporting social loneliness was associated with reaching 90 years in women. This indicates that, for women, a large and diverse personal network at an older age could increase the probability of reaching longevity. However, replication of our findings in other cohorts is needed.
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Affiliation(s)
- Lloyd Brandts
- Department of Epidemiology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, the Netherlands
| | | | - Hans Bosma
- Department of Social Medicine, CAPHRI - School for Public Health and Primary Care, Maastricht, the Netherlands
| | - Martijn Huisman
- Department of Sociology, Vrije Universiteit, Amsterdam, the Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, the Netherlands
| | - Piet A van den Brandt
- Department of Epidemiology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, the Netherlands.,Department of Epidemiology, CAPHRI - School for Public Health and Primary Care, Maastricht, the Netherlands
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13
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Weziak-Bialowolska D, Bialowolski P, VanderWeele TJ, McNeely E. Character Strengths Involving an Orientation to Promote Good Can Help Your Health and Well-Being. Evidence From two Longitudinal Studies. Am J Health Promot 2020; 35:388-398. [PMID: 33047616 PMCID: PMC8010894 DOI: 10.1177/0890117120964083] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Purpose: We examined the impact of an orientation to promote good—one aspect of strengths of character, understood as having consistent thoughts and taking actions that contribute to the good of oneself and others—on flourishing outcomes. Design: We used data from 2 longitudinal observational studies. The primary study used 2 waves of data collected in June 2018 and July 2019. The secondary study used 3 waves of data collected in February 2017, March 2018, and March 2019. Setting: Two culturally different populations of adults were examined: (1) a large service organization based in the United States and (2) a Mexican apparel company in the supply chain of a major global brand. Subjects: 1,209 U.S. employees and 495 Mexican apparel workers were included in the study. Measures: Self-reports of orientation to promote good, Well-Being Assessment, Flourishing Index, the CDC Health-Related Quality of Life and the Job-Related Affective Well-Being Scale were used. Analysis: An outcome-wide approach and lagged regression analyses were applied. To combine the estimates across samples meta-analytic estimates were computed. Bonferroni correction was used to correct for multiple testing. Robustness of the results to potential unmeasured confounding was examined using E-values. Results: Orientation to promote good was positively associated with subsequently higher levels of life satisfaction and happiness (β = 0.14, 95% CI: 0.09, 0.19), self-assessed mental health (β = 0.11, 95% CI: 0.06, 0.15) and physical health (β = 0.08, 95% CI: 0.04, 0.12), social connectedness (β = 0.102, 95% CI: 0.06, 0.15) and purpose in life (β = 0.07, 95% CI: 0.03, 0.11). It was also associated with decreased anxiety (β = -0.11, 95% CI: -0.17, -0.06), depression (β = -0.07, 95% CI: -0.1, -0.02) and loneliness (β = -0.09, 95% CI: -0.13, -0.04). Possible effects on both positive affect (feeling happy) and negative affect (feeling sad, stressed and lonely) in general and while-at-work were also identified. Conclusions: Policymakers and practitioners should consider orientation to promote good as an important factor for improving population health and human flourishing while also at work.
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Affiliation(s)
- Dorota Weziak-Bialowolska
- Sustainability and Health Initiative (SHINE), Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Human Flourishing Program, Institute for Quantitative Social Science, 1812Harvard University, Cambridge, MA, USA
| | - Piotr Bialowolski
- Sustainability and Health Initiative (SHINE), Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Tyler J VanderWeele
- Department of Epidemiology, 1857Harvard T. H. Chan School of Public Health, Boston MA, USA.,Human Flourishing Program, Institute for Quantitative Social Science, 1812Harvard University, Cambridge, MA, USA
| | - Eileen McNeely
- Sustainability and Health Initiative (SHINE), Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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