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DOI: 10.1055/a-1330-7929
Materielle Deprivation und subjektive Gesundheit: Eine Längsschnittanalyse mit den Daten des Sozio-oekonomischen Panels (2001–2015)
Material Deprivation and Subjective Health: A Longitudinal Analysis of Data from the German Socio-Economic Panel (2001–2015)Zusammenfassung
Hintergrund Während die negative Beziehung zwischen Armut und Gesundheit vielfach dokumentiert wurde, ist bislang unklar, ob diese auf soziale Verursachung oder auf indirekte oder direkte Selektion zurückzuführen ist. Des Weiteren wird Armut bislang meist aus dem Einkommen abgeleitet, obwohl dieses nur gering mit den tatsächlichen materiellen Lebensbedingungen korreliert ist. Die vorliegende Studie untersucht erstmals für Deutschland, ob sich materielle Deprivation auch unter verbesserter Kontrolle von indirekter Selektion auf die subjektive Gesundheit auswirkt.
Methodik Die Analyse basiert auf den Daten des für Deutschland repräsentativen Sozio-oekonomischen Panels (SOEP) der Jahre 2001 bis 2015. Das Analysesample enthält 54 995 Beobachtungen von 14 434 Männern und 60 766 Beobachtungen von 15 912 Frauen, jeweils mit einem durchschnittlichen Alter von 50 Jahren. Zunächst wird versucht, die bisherigen Forschungsergebnisse in gepoolten OLS- (POLS) und Random Effects-Modellen (RE) zu bestätigen. Anschließend werden lineare Fixed Effects-Regressionen (FE) berechnet, um für indirekte Selektion in Armut als Resultat von unbeobachteten zeitstabilen Merkmalen zu kontrollieren.
Ergebnisse In den POLS-Modellen zeigt sich, im Einklang mit früheren Studien, sowohl bei Männern als auch bei Frauen ein negativer Zusammenhang von materieller Deprivation und subjektiver Gesundheit. Diese Beziehung reduziert sich in den FE-Modellen stark. Aber auch nach verbesserter Kontrolle von indirekter Selektion lässt sich weiterhin eine signifikante Verschlechterung der Gesundheit durch materielle Deprivation feststellen, die mit steigender Intensität der materiellen Deprivation graduell zunimmt.
Schlussfolgerung Die Ergebnisse legen nahe, dass der negative Zusammenhang zwischen materieller Deprivation und subjektiver Gesundheit zu einem großen Teil durch indirekte Selektion bedingt ist. Der im FE-Modell verbleibende negative und graduelle Zusammenhang deutet darauf hin, dass materielle Deprivation die Gesundheit verschlechtert.
Abstract
Background Although the negative relationship between poverty and health is well-documented, it is still unclear whether it can be explained by social causation or by indirect or direct selection. Moreover, most studies measure poverty by income, which is only weakly correlated with the actual material living conditions. This study is the first to examine for Germany whether material deprivation still influences subjective health after accounting for indirect selection
Methods The analysis is based on the data from the German Socio-Economic Panel (GSOEP) 2001–2015. The sample consists of 54,995 observations on 14,434 men and 60,766 observations on 15,912 women, both with an average age of 50 years. In a first step, pooled OLS (POLS) and random effects models (RE) were applied to confirm the results of previous studies. In a second step, linear fixed effects regressions (FE) were applied to control for indirect selection into poverty as a result of time-constant unobserved heterogeneity.
Results In the POLS models, in line with previous studies, a negative association between material deprivation and subjective health was found for men and women. This relationship was considerably weaker in the FE models. However, even after better controlling for indirect selection, a significant deterioration of health through material deprivation could be observed, which gradually increased with the intensity of material deprivation.
Conclusion The results suggest that a large part of the negative correlation between material deprivation and subjective health can be explained by indirect selection. The remaining negative linear relationship in the FE model also indicates that material deprivation impairs health.
Schlüsselwörter
Armut - Materielle Deprivation - Subjektive Gesundheit - Gesundheitliche Ungleichheit - Fixed Effects-Regression - SOEPKey words
Poverty - Material Deprivation - Subjective Health - Health Inequality - Fixed Effects Regression - GSOEPPublication History
Article published online:
04 February 2021
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Literatur
- 1 Kunst AE, Bos V, Lahelma E. et al. Trends in socioeconomic inequalities in self-assessed health in 10 European countries. International Journal of Epidemiology 2005; 34: 295-305
- 2 Alvarez-Galvez J, Rodero-Cosano ML, García-Alonso C. et al. Changes in socioeconomic determinants of health: comparing the effect of social and economic indicators through European welfare state regimes. Journal of Public Health 2014; 22: 305-311
- 3 Blane D, Smith GD, Bartley M. Social selection: what does it contribute to social class differences in health?. Sociology of Health & Illness 1993; 15: 1-15
- 4 Foverskov E, Holm A. Socioeconomic inequality in health in the British Household Panel: tests of the social causation, health selection and the indirect selection hypothesis using dynamic fixed effects panel models. Social Science &. Medicine 2016; 150: 172-183
- 5 Kröger H, Pakpahan E, Hoffmann R. What causes health inequality? A systematic review on the relative importance of social causation and health selection. European Journal of Public Health 2015; 25: 951-960
- 6 Imlach Gunasekara F, Carter K, Blakely T. Change in income and change in self-rated health: systematic review of studies using repeated measures to control for confounding bias. Social Science & Medicine 2011; 72: 193-201
- 7 Imlach Gunasekara F, Carter KN, Liu I. et al. The relationship between income and health using longitudinal data from New Zealand. Journal of Epidemiology and Community Health 2012; 66: e12
- 8 McKenzie SK, Imlach Gunasekara F, Richardson K. et al. Do changes in socioeconomic factors lead to changes in mental health? Findings from three waves of a population based panel study. Journal of Epidemiology and Community Health 2014; 68: 253-260
- 9 Fernández-Val I, Savchenko Y, Vella F. Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments. Economics and Human Biology 2017; 25: 85-98
- 10 Pförtner T-K, Schmidt-Catran AW. In-work poverty and self-rated health in a cohort of working Germans: a hybrid approach for decomposing within-person and between-persons estimates of in-work poverty status. American Journal of Epidemiology 2017; 185: 274-282
- 11 Koltai J, Bierman A, Schieman S. Financial circumstances, mastery, and mental health: taking unobserved time-stable influences into account. Social Science &. Medicine 2018; 202: 108-116
- 12 Pförtner T-K, Andress H-J, Janssen C. Income or living standard and health in Germany: different ways of measurement of relative poverty with regard to self-rated health. Journal of Public Health 2011; 56: 373-384
- 13 Pförtner T-K. Armut und Gesundheit: Der Lebensstandardansatz als ergänzendes Messinstrument relativer Armut. Ergebnisse aus dem Sozio-ökonomischen Panel (SOEP 2011). Gesundheitswesen 2016; 78: 387-394
- 14 Townsend P. Deprivation. Journal of Social Policy 1987; 16: 125-146
- 15 Whelan CT, Layte R, Maitre B. Understanding the mismatch between income poverty and deprivation: a dynamic comparative analysis. European Sociological Review 2004; 20: 287-302
- 16 Berthoud R, Bryan M. Income, deprivation and poverty: a longitudinal analysis. Journal of Social Policy 2011; 40: 135-156
- 17 Pförtner T-K. Materielle Deprivation und Gesundheit von Männern und Frauen in Deutschland: Ergebnisse aus dem Sozioökonomischen Panel 2011. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 2015; 58: 100-107
- 18 Pförtner T-K, Elgar FJ. Widening inequalities in self-rated health by material deprivation? A trend analysis between 2001 and 2011 in Germany. Journal of Epidemiology and Community Health 2016; 70: 82-89
- 19 Groffen DAI, Bosma H, van den Akker M. et al. Material deprivation and health-related dysfunction in older Dutch people: findings from the SMILE study. European Journal of Public Health 2008; 18: 258-263
- 20 Foulds J, Wells JE, Mulder R. The association between material living standard and psychological distress: results from a New Zealand population survey. The. International Journal of Social Psychiatry 2014; 60: 766-771
- 21 Saito M, Kondo K, Kondo N. et al. Relative deprivation, poverty, and subjective health: JAGES cross-sectional study. PloS one 2014; 9: e111169
- 22 Tøge AG, Bell R. Material deprivation and health: a longitudinal study. BMC Public Health 2016; 16: 747-754
- 23 Imlach Gunasekara F, Carter KN, Crampton P. et al. Income and individual deprivation as predictors of health over time. Journal of Public Health 2013; 58: 501-511
- 24 Schupp J, Goebel J, Kroh M. et al. Sozio-oekonomisches Panel (SOEP), Daten der Jahre 1984–2016. Version 33: SOEP Socio-Economic Panel Study; 2017
- 25 Goebel J, Grabka MM, Liebig S. et al. The German Socio-Economic Panel (SOEP). Journal of Economics and Statistics 2018; 239: 345-360
- 26 Siegers R, Belcheva V, Silbermann T. SOEP-Core v34 – Documentation of sample sizes and panel attrition in the German Socio-Economic Panel (SOEP) (1984 until 2017). SOEP Survey Papers: Series C. Berlin: DIW/SOEP; 2019
- 27 Ferrer-i-Carbonell A, Frijters P. How important is methodology for the estimates of the determinants of happiness?. The Economic Journal 2004; 114: 641-659
- 28 Andreß H-J, Krüger A, Sedlacek BK. Armut und Lebensstandard: Zur Entwicklung des notwendigen Lebensstandards der Bevölkerung 1996-2003. Gutachten im Rahmen des Armuts- und Reichtumsberichtes der Bundesregierung. Köln: 2004
- 29 Brüderl J, Ludwig V. Fixed-effects panel regression. In Best H, Wolf C. The SAGE handbook of regression analysis and causal inference. London: SAGE; 2015: 327-357
- 30 Mood C. Logistic regression: why we cannot do what we think we can do, and what we can do about it. European Sociological Review 2010; 26: 67-82
- 31 Huber PJ. The behavior of maximum likelihood estimates under nonstandard conditions. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics 1967; 221-233
- 32 White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 1980; 48: 817–838
- 33 Jann B. Plotting regression coefficients and other estimates. The Stata Journal 2014; 14: 708-737