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      Racial differences in weathering and its associations with psychosocial stress: The CARDIA study

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          Abstract

          Biological age (BA) is a construct that captures accelerated biological aging attributable to “wear and tear” from various exposures; we measured BA and weathering, defined as the difference between BA and chronological age, and their associations with race and psychosocial factors in a middle-aged bi-racial cohort. We used data from the Coronary Artery Risk in Young Adults study (CARDIA), conducted in 4 U.S. cities from 1985–2016 to examine weathering for adults aged 48–60 years. We estimated BA via the Klemera and Doubal method using selected biomarkers. We assessed overall and race-specific associations between weathering and psychosocial measures. For the 2694 participants included, Blacks had a BA (SD) that was 2.6 (11.8) years older than their chronological age while the average BA among Whites was 3.5 (10.0) years younger than their chronological age (Blacks weathered 6.1 years faster than Whites). Belonging to more social groups was associated with less weathering in Blacks but not Whites, and after multivariable adjustment, lower SES and more depressive symptoms were associated with more weathering among Blacks than among Whites. We confirmed racial differences in weathering, and newly documented that similar psychosocial factors may take a greater toll on the biological health of Blacks than Whites.

          Highlights

          • Blacks show accelerated biological aging (weathering) compared to Whites

          • Psychosocial factors are associated with weathering

          • Psychosocial factors are more strongly associated with weathering among Blacks

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          Most cited references37

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          Racial Differences in Physical and Mental Health: Socio-economic Status, Stress and Discrimination.

          This article examines the extent to which racial differences in socio-economic status (SES), social class and acute and chronic indicators of perceived discrimination, as well as general measures of stress can account for black-white differences in self-reported measures of physical and mental health. The observed racial differences in health were markedly reduced when adjusted for education and especially income. However, both perceived discrimination and more traditional measures of stress are related to health and play an incremental role in accounting for differences between the races in health status. These findings underscore the need for research efforts to identify the complex ways in which economic and non-economic forms of discrimination relate to each other and combine with socio-economic position and other risk factors and resources to affect health.
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            Quantification of biological aging in young adults.

            Antiaging therapies show promise in model organism research. Translation to humans is needed to address the challenges of an aging global population. Interventions to slow human aging will need to be applied to still-young individuals. However, most human aging research examines older adults, many with chronic disease. As a result, little is known about aging in young humans. We studied aging in 954 young humans, the Dunedin Study birth cohort, tracking multiple biomarkers across three time points spanning their third and fourth decades of life. We developed and validated two methods by which aging can be measured in young adults, one cross-sectional and one longitudinal. Our longitudinal measure allows quantification of the pace of coordinated physiological deterioration across multiple organ systems (e.g., pulmonary, periodontal, cardiovascular, renal, hepatic, and immune function). We applied these methods to assess biological aging in young humans who had not yet developed age-related diseases. Young individuals of the same chronological age varied in their "biological aging" (declining integrity of multiple organ systems). Already, before midlife, individuals who were aging more rapidly were less physically able, showed cognitive decline and brain aging, self-reported worse health, and looked older. Measured biological aging in young adults can be used to identify causes of aging and evaluate rejuvenation therapies.
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              Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age?

              Biological age (BA) is useful for examining differences in aging rates. Nevertheless, little consensus exists regarding optimal methods for calculating BA. The aim of this study is to compare the predictive ability of five BA algorithms. The sample included 9,389 persons, aged 30-75 years, from National Health and Nutrition Examination Survey III. During the 18-year follow-up, 1,843 deaths were counted. Each BA algorithm was compared with chronological age on the basis of predictive sensitivity and strength of association with mortality. Results found that the Klemera and Doubal method was the most reliable predictor of mortality and performed significantly better than chronological age. Furthermore, when included with chronological age in a model, Klemera and Doubal method had more robust predictive ability and caused chronological age to no longer be significantly associated with mortality. Given the potential of BA to highlight heterogeneity, the Klemera and Doubal method algorithm may be useful for studying a number of questions regarding the biology of aging.
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                Author and article information

                Contributors
                Journal
                SSM Popul Health
                SSM Popul Health
                SSM - Population Health
                Elsevier
                2352-8273
                06 November 2018
                April 2019
                06 November 2018
                : 7
                : 003
                Affiliations
                [a ]University of Massachusetts Medical School, Department of Quantitative Health Sciences, USA
                [b ]University of Minnesota, School of Public Health, USA
                [c ]Mayo Clinic, USA
                Author notes
                [* ]Correspondence to: University of Massachusetts Medical School, 368 Plantation Street AS6-1065L, Worcester, MA 01605, USA. sarah.forrester@ 123456umassmed.edu
                Article
                S2352-8273(18)30224-6
                10.1016/j.ssmph.2018.11.003
                6595283
                31294072
                a5f6938f-938b-4ab2-99c2-2f1339a1e622
                © 2018 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 28 August 2018
                : 30 September 2018
                : 4 November 2018
                Categories
                Article

                biological age,weathering,psychosocial factors racial disparity

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