Boris Cheval1,2, Matthieu P Boisgontier3,4, Dan Orsholits1, Stefan Sieber1, Idris Guessous5,6,7,8, Rainer Gabriel1, Silvia Stringhini7, David Blane9, Bernadette W A van der Linden1,10, Matthias Kliegel1,10, Claudine Burton-Jeangros1, Delphine S Courvoisier1,2, Stéphane Cullati1,2. 1. Swiss NCCR 'LIVES-Overcoming Vulnerability: Life Course Perspectives', University of Geneva, Geneva, Switzerland. 2. Department of General Internal Medicine, Rehabilitation and Geriatrics, University of Geneva, Geneva, Switzerland. 3. KU Leuven, Movement Control & Neuroplasticity Research Group, Department of Kinesiology, Leuven, Belgium. 4. University of British Columbia, Department of Physical Therapy, Brain Behavior Laboratory, Vancouver, BC, Canada. 5. Unit of Population Epidemiology, Department of Community Medicine, Primary Care and Emergency Medicine, Geneva University Hospitals, Geneva, Switzerland. 6. Department of Epidemiology, Emory University, Atlanta, GA, USA. 7. Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. 8. Department of Ambulatory Care and Community Medicine, University of Lausanne, Lausanne, Switzerland. 9. International Centre for Life Course Studies in Society and Health, Department of Epidemiology and Public Health, University College London, London, UK. 10. Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland.
Abstract
Background: socioeconomic circumstances (SEC) during a person's lifespan influence a wide range of health outcomes. However, solid evidence of the association of early- and adult-life SEC with health trajectories in ageing is still lacking. This study assessed whether early-life SEC are associated with muscle strength in later life-a biomarker of health-and whether this relationship is caused by adult-life SEC and health behaviours. Methods: we used data from the Survey of Health Ageing and Retirement in Europe, a 12-year population-based cohort study with repeated measurement in six waves (2004-15) and retrospective collection of life-course data. Participants' grip strength was assessed by using a handheld dynamometer. Confounder-adjusted logistic mixed-effect models were used to examine the associations of early- and adult-life SEC with the risk of low muscle strength (LMS) in older age. Results: a total of 24,179 participants (96,375 observations) aged 50-96 living in 14 European countries were included in the analyses. Risk of LMS was increased with disadvantaged relative to advantaged early-life SEC. The association between risk of LMS and disadvantaged early-life SEC gradually decreased when adjusting for adult-life SEC for both sexes and with unhealthy behaviours for women. After adjusting for these factors, all associations between risk of LMS and early-life SEC remained significant for women. Conclusion: early-life SEC are associated with muscle strength after adjusting for adult-life SEC and behavioural lifestyle factors, especially in women, which suggests that early life may represent a sensitive period for future health.
Background: socioeconomic circumstances (SEC) during a person's lifespan influence a wide range of health outcomes. However, solid evidence of the association of early- and adult-life SEC with health trajectories in ageing is still lacking. This study assessed whether early-life SEC are associated with muscle strength in later life-a biomarker of health-and whether this relationship is caused by adult-life SEC and health behaviours. Methods: we used data from the Survey of Health Ageing and Retirement in Europe, a 12-year population-based cohort study with repeated measurement in six waves (2004-15) and retrospective collection of life-course data. Participants' grip strength was assessed by using a handheld dynamometer. Confounder-adjusted logistic mixed-effect models were used to examine the associations of early- and adult-life SEC with the risk of low muscle strength (LMS) in older age. Results: a total of 24,179 participants (96,375 observations) aged 50-96 living in 14 European countries were included in the analyses. Risk of LMS was increased with disadvantaged relative to advantaged early-life SEC. The association between risk of LMS and disadvantaged early-life SEC gradually decreased when adjusting for adult-life SEC for both sexes and with unhealthy behaviours for women. After adjusting for these factors, all associations between risk of LMS and early-life SEC remained significant for women. Conclusion: early-life SEC are associated with muscle strength after adjusting for adult-life SEC and behavioural lifestyle factors, especially in women, which suggests that early life may represent a sensitive period for future health.
Authors: Anne B Newman; Varant Kupelian; Marjolein Visser; Eleanor M Simonsick; Bret H Goodpaster; Stephen B Kritchevsky; Frances A Tylavsky; Susan M Rubin; Tamara B Harris Journal: J Gerontol A Biol Sci Med Sci Date: 2006-01 Impact factor: 6.053
Authors: Alfonso J Cruz-Jentoft; Jean Pierre Baeyens; Jürgen M Bauer; Yves Boirie; Tommy Cederholm; Francesco Landi; Finbarr C Martin; Jean-Pierre Michel; Yves Rolland; Stéphane M Schneider; Eva Topinková; Maurits Vandewoude; Mauro Zamboni Journal: Age Ageing Date: 2010-04-13 Impact factor: 10.668
Authors: Farizah Mohd Hairi; Johan P Mackenbach; K Andersen-Ranberg; Mauricio Avendano Journal: J Epidemiol Community Health Date: 2009-11-01 Impact factor: 3.710
Authors: Louise Hurst; Mai Stafford; Rachel Cooper; Rebecca Hardy; Marcus Richards; Diana Kuh Journal: Am J Public Health Date: 2013-07-18 Impact factor: 9.308
Authors: Antoneta Granic; Karen Davies; Carmen Martin-Ruiz; Carol Jagger; Thomas B L Kirkwood; Thomas von Zglinicki; Avan Aihie Sayer Journal: Age Ageing Date: 2017-11-01 Impact factor: 10.668
Authors: Silvia Stringhini; Cristian Carmeli; Markus Jokela; Mauricio Avendaño; Peter Muennig; Florence Guida; Fulvio Ricceri; Angelo d'Errico; Henrique Barros; Murielle Bochud; Marc Chadeau-Hyam; Françoise Clavel-Chapelon; Giuseppe Costa; Cyrille Delpierre; Silvia Fraga; Marcel Goldberg; Graham G Giles; Vittorio Krogh; Michelle Kelly-Irving; Richard Layte; Aurélie M Lasserre; Michael G Marmot; Martin Preisig; Martin J Shipley; Peter Vollenweider; Marie Zins; Ichiro Kawachi; Andrew Steptoe; Johan P Mackenbach; Paolo Vineis; Mika Kivimäki Journal: Lancet Date: 2017-02-01 Impact factor: 202.731
Authors: Stefan Sieber; Boris Cheval; Dan Orsholits; Bernadette W Van der Linden; Idris Guessous; Rainer Gabriel; Matthias Kliegel; Marja J Aartsen; Matthieu P Boisgontier; Delphine Courvoisier; Claudine Burton-Jeangros; Stéphane Cullati Journal: Int J Epidemiol Date: 2019-08-01 Impact factor: 7.196
Authors: Boris Cheval; Matthieu P Boisgontier; Stefan Sieber; Andreas Ihle; Dan Orsholits; Cyril Forestier; David Sander; Aïna Chalabaev Journal: Eur J Ageing Date: 2021-10-01
Authors: Boris Cheval; Silvio Maltagliati; Stefan Sieber; David Beran; Aïna Chalabaev; David Sander; Stéphane Cullati; Matthieu P Boisgontier Journal: Ann Behav Med Date: 2021-08-23
Authors: Aïna Chalabaev; Stefan Sieber; David Sander; Stéphane Cullati; Silvio Maltagliati; Philippe Sarrazin; Matthieu P Boisgontier; Boris Cheval Journal: Psychol Sci Date: 2022-02-03