Socioeconomic status and health in the second half of life: findings from the German Ageing Survey

Schöllgen, Ina; Huxhold, Oliver; Tesch-Römer, Clemens

doi:10.1007/s10433-010-0140-x

Cited by 117 publications

(98 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This finding supports the cumulative advantage hypothesis and contradicts previous crosssectional studies from Germany (Knesebeck 2005;Schöllgen et al 2010). In contrast to these studies, our model not only disentangles age and cohort effects but also controls for possible period effects as well as selection effects related to panel attrition and death.…”

Section: Results On the Cumulative Advantage Hypothesissupporting

confidence: 54%

See 1 more Smart Citation

Education and Health Across Lives and Cohorts: A Study of Cumulative Advantage in Germany

Leopold

2016

SSRN Journal

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in SOEPpapers on Multidisciplinary Panel Data Research at DIW BerlinThis series presents research findings based either directly on data from the German SocioEconomic Panel study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science.The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly.Any opinions expressed in this series are those of the author(s) and not those of DIW Berlin.Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions. AbstractResearch from the United States has supported two hypotheses about health inequality. First, educational gaps in health widen with age -the cumulative advantage hypothesis. Second, this relationship has intensified across cohorts -the rising importance hypothesis. In this article, we estimate hierarchical linear models using 22 waves of panel data (SOEP, 1992(SOEP, -2013 to test both hypotheses in the German context, which contrasts sharply with the U.S. in the structural forces shaping health inequality. We consider individual and contextual influences on the core association between education and health, and assess gender differences in the process of cumulative advantage. Our overall results support the cumulative advantage hypothesis, as health gaps between higher and lower educated people widen with age. Further analyses reveal that this process is gender specific. Among women, educational gaps in health are small and remain stable. Among men, these gaps not only widen rapidly with age, but also increasingly across cohorts, sup...

show abstract

Section: Results On the Cumulative Advantage Hypothesissupporting

confidence: 54%

“…No divergence was found in health trajectories between educational groups (Schöllgen et al 2010;Knesebeck 2005). These results, however, are based on cross-sectional data.…”

Section: Cumulative Advantage Of Education For Health In Germanymentioning

confidence: 99%

Education and Health Across Lives and Cohorts: A Study of Cumulative Advantage in Germany

Leopold

2016

SSRN Journal

View full text Add to dashboard Cite

show abstract

“…In the study of social inequalities in health, evidence is presented on the range of social factors that are found to be associated with different aspects of health in early life, childhood, adolescence, and adulthood [11]. Uncertainty, however, exists about the continuation of this inequality into older age [12]. It is clear that among the very old, the socioeconomic factors, at least with regard to mortality, have decreased their importance [13].…”

Section: What Is a Life Course Approach?mentioning

confidence: 99%

A life course approach: research orientations and future challenges

Heikkinen

2010

Eur Rev Aging Phys Act

View full text Add to dashboard Cite

The need to study lifelong changes in health and functioning has resulted in increasing emphasis on a life course approach in different fields of inquiry. The aim of this approach is to explore how biological, psychological, and social risk factor trajectories, acting across the entire life course, influence age-related diseases, functional decline, and disability. The importance of the first years of life upon later development and adult characteristics was generally recognized already in the first half of the twentieth century, but it was not until the 1990s that different strands of medical and social research converge in the field of life course epidemiology, in which epidemiological processes are approached using different models such as biological programming, critical periods, pathways, and accumulation. The biological programming model holds that organ development in utero and early infancy determines the maximum functional capacity that an individual can attain and influences the development of certain chronic diseases later in life. The critical period model extends the idea to include child development and key social transitions over the entire life course. The pathway model focuses on the cumulative effect of life events along the developmental trajectories, with early advantage or disadvantage setting a person on a pathway to a later etiologically important exposure. The accumulation model describes the underlying social, behavioral, and biological processes that drive the impact of the life course on health. The growing focus on life course determinants of aging also has implications for studies of long-term changes in physical activity and their role in determining both gains and losses of health and functioning with aging. A life course approach presents great challenges for the continued development of testable theoretical models and effective study design and analysis.

show abstract

“…Engstler, 2006;Scherger et al, 2012), age-related cognitions, activities and health (e.g. Wurm et al, 2007;Böhm et al, 2009;Wurm et al, 2010;Schöllgen et al, 2010;Schöllgen et al, 2012;Schüz et al, 2011), subjective well-being and loneliness (e.g. Westerhof et al, 2006;Wurm et al, 2008;Merz et al, 2010;Wiest et al, 2011;Tesch-Römer et al, 2012), family relations, grandparenthood and social networks (e.g.…”

Section: Main Research Areas So Farmentioning

confidence: 99%

The German Ageing Survey (DEAS) – A Longitudinal and Time-Series Study of People in the Second Half of Life

Engstler¹,

Schmiade²

2013

SCHM

View full text Add to dashboard Cite

show abstract

Socioeconomic status and health in the second half of life: findings from the German Ageing Survey

Cited by 117 publications

References 56 publications

Education and Health Across Lives and Cohorts: A Study of Cumulative Advantage in Germany

Education and Health Across Lives and Cohorts: A Study of Cumulative Advantage in Germany

A life course approach: research orientations and future challenges

The German Ageing Survey (DEAS) – A Longitudinal and Time-Series Study of People in the Second Half of Life

Contact Info

Product

Resources

About