Early-life socioeconomic circumstances explain health differences in old age, but not their evolution over time

Journal of Epidemiology and Community Health - Tập 73 Số 8 - Trang 703-711 - 2019
Boris Cheval1, Dan Orsholits2, Stefan Sieber2, Silvia Stringhini3, Delphine S. Courvoisier4,2, Matthias Kliegel5,2, Matthieu P. Boisgontier6, Stéphane Cullati4,2
1Swiss NCCR "LIVES - Overcoming Vulnerability: Life Course Perspectives", University of Geneva, Geneva 1205, Switzerland
2Swiss NCCR “LIVES - Overcoming Vulnerability: Life Course Perspectives”, University of Geneva, Geneva, Switzerland
3Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland
4Department of General Internal Medicine, Rehabilitation and Geriatrics, University of Geneva, Geneva, Switzerland
5Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
6Physical Therapy, UBC Hospital, Vancouver, British Columbia, Canada

Tóm tắt

BackgroundEarly-life socioeconomic circumstances (SEC) are associated with health in old age. However, epidemiological evidences on the influence of these early-life risk factors on trajectories of healthy ageing are inconsistent, preventing drawing solid conclusion about their potential influence. Here, to fill this knowledge gap, we used a statistical approach adapted to estimating change over time and an outcome-wide epidemiology approach to investigate whether early-life SEC were associated with the level of and rate of decline of physical, cognitive and emotional functioning over time.MethodsWe used data on more than 23 000 adults in older age from the Survey of Health, Ageing and Retirement in Europe, a 12-year large-scale longitudinal study with repeated measurements of multiple health indicators of the same participants over time (2004 –2015, assessments every 2 years). Confounder-adjusted linear growth curve models were used to examine the associations of early-life SEC with the evolution of muscle strength, lung function, cognitive function, depressive symptoms and well-being over time.ResultsWe consistently found an association between early-life SEC and the mean levels of all health indicators at age 63.5, with a critical role played by the cultural aspect of disadvantage. These associations were only partly explained by adult-life SEC factors. By contrast, evidences supporting an association between early-life SEC and the rate of change in health indicators were weak and inconsistent.ConclusionsEarly-life SEC are associated with health in old age, but not with trajectories of healthy ageing. Conceptual models in life course research should consider the possibility of a limited influence of early-life SEC on healthy ageing trajectories.

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Tài liệu tham khảo

Mladovsky P , Allin S , Masseria C . Health in the European Union: trends and analysis. WHO Regional Office Europe, 2009.

10.3945/ajcn.110.001206

10.1016/S0140-6736(02)11602-3

10.1136/jech-2015-206089

Strachan DP , Sheikh A . A life course approach to respiratory and allergic diseases. In: Kuh D , Ben-Shlomo Y , eds. A life course approach to chronic disease epidemiology. Oxford: Oxford University Press, 2004: 240–59.

10.1111/j.1749-6632.1999.tb08107.x

10.1093/ije/31.2.285

Cheval, 2018, Association of early- and adult-life socioeconomic circumstances with muscle strength in older age, Age Ageing, 47, 398, 10.1093/ageing/afy003

Cheval B , Chabert C , Orsholits D , et al . Disadvantaged early-life socioeconomic circumstances are associated with low respiratory function in older age. J Gerontol A Biol Med Sci 2018;381.doi:10.1093/gerona/gly177

Landös A , von Arx M , Cheval B , et al . Childhood socioeconomic circumstances and disability trajectories in older men and women: a European cohort study. Eur J Pub Health 2018.

Straat vande , Cheval B , Schmidt RE , et al . Early predictors of impaired sleep: a study on life course socioeconomic conditions and sleeping problems in older adults. Aging Ment Health in press.

Sieber S , Cheval B , Orsholits D , et al . Welfare regimes modify the association of disadvantaged adult-life socioeconomic circumstances with self-rated health in old age. Int J Epidemiol 2019;381.doi:10.1093/ije/dyy283

Aartsen MJ , Cheval B , Sieber S , et al . Advantaged socioeconomic conditions in childhood are associated with higher cognitive functioning but stronger cognitive decline in older age. PNAS 2019.

Van der Linden BWA , Cheval B , Sieber S , et al . Life course socioeconomic conditions and frailty at older ages. J Gerontol B Psychol Sci Soc Sci 2019;63.doi:10.1093/geronb/gbz018

10.1136/thoraxjnl-2011-200621

10.1097/PSY.0b013e3181b1e45e

Cheval B , Chabert C , Sieber S , et al . The association between adverse childhood experiences and muscle strength in older age. Gerontology 2019.

Singer JD , Willett JB . A framework for investigating change over time. in applied longitudinal data analysis: modeling change and event occurrence. New York: Oxford University Press, 2003.

10.1073/pnas.1620603114

10.1093/ije/dyt088

Wahrendorf, 2015, Does labour market disadvantage help to explain why childhood circumstances are related to quality of life at older ages? Results from share, Aging Ment Health, 19, 584, 10.1080/13607863.2014.938604

10.1136/bmj.2.6152.1627

10.1192/bjp.141.5.524

10.1080/01688638008403788

10.1192/bjp.174.4.330

Hyde, 2003, A measure of quality of life in early old age: the theory, development and properties of a needs satisfaction model (CASP-19), Aging & Mental Health, 7, 186, 10.1080/1360786031000101157

10.1016/j.neubiorev.2016.05.034

10.1073/pnas.1417325112

10.1016/j.biopsych.2013.09.006

Bates D , Mächler M , Bolker B , et al . Fitting linear mixed-effects models using lme4. 2015 2015;67.

R Core Team . R: a language and environment for statistical computing. Vienna, Austria, 2017. Available: https://www.R-project.org/

Kuznetsova A , Brockhoff PB , Christensen RHB . ImerTest: tests in linear mixed effects models. R package version 2.0-33, 2016. Available: https://CRAN.R-project.org/package=lmerTest

Caleyachetty, 2018, Modeling exposure to multiple childhood social risk factors and physical capability and common affective symptoms in later life, J Aging Health, 30, 386, 10.1177/0898264316680434

10.1378/chest.07-1405

10.1073/pnas.1620603114

10.1093/ije/30.2.256

Angelini V , Howdon DD , Mierau JO , et al . And Late-Adulthood mental health: results from the survey on health, ageing and retirement in Europe. J Gerontol B Psychol Sci Soc Sci 2018.

Tani, 2016, Childhood socioeconomic status and onset of depression among Japanese older adults: the JAGES prospective cohort study, Am J Geriatr Psychiatry, 24, 717, 10.1016/j.jagp.2016.06.001

10.2105/AJPH.2009.160986

10.1093/gerona/glt189

10.1177/0898264315585504

10.1192/bjp.bp.107.043208

10.1111/j.1749-6632.1999.tb08111.x

10.1016/j.neubiorev.2009.10.002

10.1007/s10680-014-9332-y

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Journal of Epidemiology and Community Health

Tập 73 Số 8

703-711

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