Stefan Sieber1, Boris Cheval1, Dan Orsholits1, Bernadette W A van der Linden1,2, Idris Guessous3, Rainer Gabriel1,4, Matthias Kliegel1,2, Martina von Arx1, Michelle Kelly-Irving5,6, Marja J Aartsen7, Matthieu P Boisgontier8, Delphine Courvoisier8, Claudine Burton-Jeangros1,9, Stéphane Cullati1,8. 1. Swiss NCCR "LIVES - Overcoming Vulnerability: Life Course Perspectives," University of Geneva, Switzerland. 2. Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland. 3. Department of Community Medicine, Primary Care and Emergency Medicine, Geneva University Hospitals, Switzerland. 4. ZHAW School of Social Work, Institute of Diversity and Social Integration, Zurich, Switzerland. 5. INSERM, UMR1027, Toulouse, France. 6. Université Toulouse III Paul-Sabatier, France. 7. NOVA - Norwegian Social Research, Centre for Welfare and Labour Research, OsloMet - Oslo Metropolitan University, Norway. 8. School of Rehabilitation Sciences, University of Ottawa, Ontario, Canada. 9Department of Readaptation and Geriatrics, University of Geneva, Switzerland. 9. Institute of Sociological Research, University of Geneva, Switzerland.
Abstract
OBJECTIVES: This study aimed to examine the cumulative disadvantage of different forms of childhood misfortune and adult-life socioeconomic conditions (SEC) with regard to trajectories and levels of self-rated health in old age and whether these associations differed between welfare regimes (Scandinavian, Bismarckian, Southern European, and Eastern European). METHOD: The study included 24,004 respondents aged 50-96 from the longitudinal SHARE survey. Childhood misfortune included childhood SEC, adverse childhood experiences, and adverse childhood health experiences. Adult-life SEC consisted of education, main occupational position, and financial strain. We analyzed associations with poor self-rated health using confounder-adjusted mixed-effects logistic regression models for the complete sample and stratified by welfare regime. RESULTS: Disadvantaged respondents in terms of childhood misfortune and adult-life SEC had a higher risk of poor self-rated health at age 50. However, differences narrowed with aging between adverse-childhood-health-experiences categories (driven by Southern and Eastern European welfare regimes), categories of education (driven by Bismarckian welfare regime), and main occupational position (driven by Scandinavian welfare regime). DISCUSSION: Our research did not find evidence of cumulative disadvantage with aging in the studied life-course characteristics and age range. Instead, trajectories showed narrowing differences with differing patterns across welfare regimes.
OBJECTIVES: This study aimed to examine the cumulative disadvantage of different forms of childhood misfortune and adult-life socioeconomic conditions (SEC) with regard to trajectories and levels of self-rated health in old age and whether these associations differed between welfare regimes (Scandinavian, Bismarckian, Southern European, and Eastern European). METHOD: The study included 24,004 respondents aged 50-96 from the longitudinal SHARE survey. Childhood misfortune included childhood SEC, adverse childhood experiences, and adverse childhood health experiences. Adult-life SEC consisted of education, main occupational position, and financial strain. We analyzed associations with poor self-rated health using confounder-adjusted mixed-effects logistic regression models for the complete sample and stratified by welfare regime. RESULTS: Disadvantaged respondents in terms of childhood misfortune and adult-life SEC had a higher risk of poor self-rated health at age 50. However, differences narrowed with aging between adverse-childhood-health-experiences categories (driven by Southern and Eastern European welfare regimes), categories of education (driven by Bismarckian welfare regime), and main occupational position (driven by Scandinavian welfare regime). DISCUSSION: Our research did not find evidence of cumulative disadvantage with aging in the studied life-course characteristics and age range. Instead, trajectories showed narrowing differences with differing patterns across welfare regimes.
Authors: Claudia Recksiedler; Boris Cheval; Stefan Sieber; Dan Orsholits; Robert S Stawski; Stéphane Cullati Journal: Aging Ment Health Date: 2021-09-08 Impact factor: 3.658
Authors: James Macinko; Juliana Vaz de Melo Mambrini; Fabíola Bof de Andrade; Flavia Cristina Drumond Andrade; Gabriela E Lazalde; Maria Fernanda Lima-Costa Journal: Eur J Public Health Date: 2021-07-13 Impact factor: 3.367
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
Authors: Bernadette Wilhelmina Antonia Van Der Linden; Stefan Sieber; Boris Cheval; Dan Orsholits; Idris Guessous; Rainer Gabriel; Martina Von Arx; Michelle Kelly-Irving; Marja Aartsen; David Blane; Matthieu P Boisgontier; Delphine Courvoisier; Michel Oris; Matthias Kliegel; Stéphane Cullati Journal: J Gerontol B Psychol Sci Soc Sci Date: 2020-06-02 Impact factor: 4.077