Familial aggregation of the aging process: biological age measured in young adult offspring as a predictor of parental mortality

被引:0
作者
Ilona Shapiro
Daniel W. Belsky
Salomon Israel
Iaroslav Youssim
Yechiel Friedlander
Hagit Hochner
机构
[1] Braun School of Public Health,Department of Epidemiology and Butler Columbia Aging Center
[2] The Hebrew University of Jerusalem,Department of Psychology
[3] Columbia University Mailman School of Public Health,undefined
[4] The Hebrew University of Jerusalem,undefined
来源
GeroScience | 2023年 / 45卷
关键词
Cohort study; Biological age; Aging; Mortality; Familial aggregation; Intergenerational associations;
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学科分类号
摘要
Measures of biological age (BA) integrate information across organ systems to quantify “biological aging,” i.e., inter-individual differences in aging-related health decline. While longevity and lifespan aggregate in families, reflecting transmission of genes and environments across generations, little is known about intergenerational continuity of biological aging or the extent to which this continuity may be modified by environmental factors. Using data from the Jerusalem Perinatal Study (JPS), we tested if differences in offspring BA were related to mortality in their parents. We measured BA using biomarker data collected from 1473 offspring during clinical exams in 2007–2009, at age 32 ± 1.1. Parental mortality was obtained from population registry data for the years 2004–2016. We fitted parametric survival models to investigate the associations between offspring BA and parental all-cause and cause-specific mortality. We explored potential differences in these relationships by socioeconomic position (SEP) and offspring sex. Participants’ BAs widely varied (SD = 6.95). Among those measured to be biologically older, parents had increased all-cause mortality (HR = 1.10, 95% CI: 1.08, 1.13), diabetes mortality (HR = 1.19, 95% CI: 1.08, 1.30), and cancer mortality (HR = 1.07, 95% CI: 1.02, 1.13). The association with all-cause mortality was stronger for families with low compared with high SEP (Pinteraction = 0.04) and for daughters as compared to sons (Pinteraction < 0.001). Using a clinical-biomarker-based BA estimate, observable by young adulthood prior to the onset of aging-related diseases, we demonstrate intergenerational continuity of the aging process. Furthermore, variation in this familial aggregation according to household socioeconomic position (SEP) at offspring birth and between families of sons and daughters proposes that the environment alters individuals’ aging trajectory set by their parents.
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页码:901 / 913
页数:12
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共 242 条
[21]  
Hochschild R(2017)The survival of spouses marrying into longevity-enriched families J Gerontol A Biol Sci Med Sci 71 340-39
[22]  
Nakamura E(2019)Longevity defined as top 10% survivors and beyond is transmitted as a quantitative genetic trait Nat Commun 38 28-1982
[23]  
Miyao K(2016)Increasing sibling relative risk of survival to older and older ages and the importance of precise definitions of “Aging”, “Life Span”, and “Longevity” J Gerontol A Biol Sci Med Sci 35 1975-352
[24]  
Ozeki T(2017)Historical demography and longevity genetics: back to the future Ageing Res Rev 45 343-273
[25]  
Jee H(2013)Association of healthy aging with parental longevity Age (Omaha) 21 256-2808
[26]  
Park J(2016)Cohort profile: the Jerusalem perinatal family follow-up study Int J Epidemiol 43 2795-472
[27]  
Horvath S(2007)The Jerusalem Perinatal Study cohort, 1964?2005: methods and a review of the main results Paediatr Perinat Epidemiol 75 466-1389
[28]  
Raj K(2021)A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge Geroscience 125 1381-437
[29]  
Li Q(2020)Biomarkers for aging identified in cross-sectional studies tend to be non-causative The Journals of Gerontology: Series A 235 430-444
[30]  
Wang S(2012)Associations of maternal prepregnancy body mass index and gestational weight gain with adult offspring cardiometabolic risk factors Circulation 34 439-21