Diverging ideas of health? Comparing the basis of health ratings across gender, age, and country

Lazarevič, Patrick; Brandt, Martina

doi:10.1016/j.socscimed.2020.112913

Cited by 36 publications

(42 citation statements)

References 79 publications

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“…Spearman correlations and linear regression analysis were performed, determining the direct relationships and relative contributions of the health determinants as well as the socioeconomic and demographic determinants to perceived TGH. Linear regression is a justi ed way to analyse these relationships (32). T-tests and one-way ANOVA were used to test for statistical differences between the SES groups.…”

Section: Discussionmentioning

confidence: 99%

“…Participants were asked to assess their total perceived health and their perceived health on each of the six dimensions of the positive health concept after scoring the 32 items of the positive health scale from 1 (poor) to 5 (excellent). In this way all respondents evaluated their health on the same topics, avoiding different interpretations of health (32).…”

Section: Research Population and Data Collectionmentioning

confidence: 99%

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Refining Insights on the Impact of SES on Perceived Health: A Positive Health Perspective

Dierx

Kasper

2021

Preprint

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BackgroundRecent insights and developments on health and society urge for a critical look at the positive relationship between socioeconomic status (SES) and health. We challenge the notions that it is sufficient to distinguish only between two groups of SES (low and high) and that only overall health is taken into account. MethodsA new grouping of SES was developed based on both income and education, resulting in six SES groups. Health was defined in terms of a new positive health concept, operationalised into six health dimensions generating a measure of total general health (TGH). Next, six socioeconomic and demographic determinants of health were included. Linear regression, T-tests and one-way ANOVA were applied to investigate the relationships in a Dutch sample. A subjective way to measure health was applied: self-rated health. ResultsFour out of six dimensions of health determined TGH: bodily functions, daily functioning, quality of life, and social and societal participation. Three out of six socioeconomic and demographic determinants impacted TGH: housing situation, age, and difficulties meeting financial obligations. While this is the general picture for the entire sample, there were interesting similarities and differences between the six SES groups. The similarities refer to the positive impact of the evaluation of bodily functions and daily functioning on TGH in all SES groups. The other dimensions affected TGH in some groups and some dimensions only in one SES group. None of the socioeconomic and demographic determinants affected TGH in all SES groups. New insights on health inequalities are provided. ConclusionsThe well-known positive relationship between SES and health is confirmed in this study. Further refining the health concept into six dimensions provides more detailed insights on which dimensions impact health the most. The subjective approach applied offers more refined information to better understand which health issues really matter to people. This yields new and more effective ways to develop interventions aimed at increasing healthy behaviour.

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Section: Discussionmentioning

confidence: 99%

Section: Research Population and Data Collectionmentioning

confidence: 99%

Refining Insights on the Impact of SES on Perceived Health: A Positive Health Perspective

Dierx

Kasper

2021

Preprint

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“…Although the most significant determinants of an individual's poor self-rated health are physical functioning (GALI) and presence and knowledge about chronic morbidity, self-rated health reflects essential dimensions that the other two measures are less likely to include. In particular, this includes mental health and bodily pain (Au and Johnston, 2014;Hardy et al, 2014;Jylhä et al, 1998;Lazarevič, 2019;Lazarevič and Brandt, 2020;Saito et al, 2014;Simon et al, 2005;Singh-Manoux et al, 2006). Likewise, the observed that the effects of decreased health on well-being depends on the specification of the health dimension applied in the study.…”

Section: Methodsmentioning

confidence: 99%

Well-being adjusted health expectancy - a new summary measure of population health

Muszyńska-Spielauer¹

2021

VID

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We propose a new summary measure of population health (SMPH) called well-being-adjusted healthy life expectancy (WAHE). WAHE belongs to a subgroup of health-adjusted life expectancy indicators and measures life expectancy equivalent to full health. The measure combines health and mortality information into a single indicator with weights that quantify the reduction in well-being associated with decreased health. WAHE's advantage over other common SMPHs lies in its ability to differentiate between the consequences of health limitations at various levels of severity and its transparent, simple valuation function. We also demonstrate that WAHE accounts for how health impairment impacts overall well-being according to selected individual and contextual factors.Our paper empirically evaluates WAHE's performance in terms of agreement and reliability, as well as how strongly it correlates with the other SMPHs when applied to 29 European countries. Health and well-being data are from the 2018 EU-SILC, while life tables are from Eurostat. WAHE's sensitivity to univariate and multivariate state specifications is tested using three Minimum European Health Module health dimensions: chronic morbidity, activity limitations, and self-rated health.The findings show that WAHE has the highest and most significant correlation with all well-known SMPHs (health expectancy and disability-adjusted health expectancy from the Global Burden of Disease). Moreover, WAHE estimates are in agreement with all other SMPHs. Additionally, like the other SMPHs, all WAHE variants form a group of reliable indicators for studying population health in European countries. Finally, WAHE estimates are robust, regardless of whether health is defined across one or multiple simultaneous dimensions of health. We conclude that WAHE has several advantages over other standard SMPHs and propose adopting it as a universal health indicator for descriptive use in public health.

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“…Additionally, and for comparability with previous studies, we also considered marriage effects on self-rated health. Self-rated health is frequently used in large-scale studies because it is highly predictive of mortality risks (Schnittker & Bacak, 2014), correlates with disease incidence (Wu et al, 2013) and domain-specific dimensions of health (such as functioning, diseases, and pain; Lazarevič, 2018, Lazarevič & Brandt, 2020. Qualitative research suggested that it reflects aspects of both physical and mental health (Simon et al, 2005).…”

Section: Datamentioning

confidence: 99%

Revisiting marital health protection: Intraindividual health dynamics around transition to legal marriage

Mikucka

Becker

Wolf

2021

J of Marriage and Family

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Objective: This study analyzes the dynamics of health associated with the transition to first marriage and remaining in marriage up to 24 years in order to estimate the protective effect of heterosexual marriage (compared to being never married, including the unpartnered, partnered, and cohabiting) on physical, mental, and self-rated health. Background: Past research produced inconclusive results on marital health protection. This study advances the debate by overcoming theoretical and methodological shortcomings of previous research. The authors use new statistical methods, which go beyond controlling for selfselection into marriage on health levels and also account for selection on health trajectories. Method: The authors used German Socio-Economic Panel (SOEP) data (1992-2018, stratified random sample; N = 27,205 observations for physical and mental health, N = 110,440 observations for self-rated health). This study relied on fixed effects models with individual slopes, which controlled for individual premarital health trends, as well as fixed effects models with group slopes (FEGS), which modeled self-selection into marriage on premarital health trajectories. Results: Compared to health trajectories of the never married, self-rated health and physical health declined temporarily upon the transition into marriage, but improved in the long run; however, the cumulative protective effect was statistically significant only among men and only for self-rated health. Mental health improved around the transition into first marriage, but the effect was short-lived. Men with more sustainable premarital health had a higher chance of marrying. Conclusion: This study does not support the strong theoretical claims of marital protection and suggests that

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Diverging ideas of health? Comparing the basis of health ratings across gender, age, and country

Cited by 36 publications

References 79 publications

Refining Insights on the Impact of SES on Perceived Health: A Positive Health Perspective

Refining Insights on the Impact of SES on Perceived Health: A Positive Health Perspective

Well-being adjusted health expectancy - a new summary measure of population health

Revisiting marital health protection: Intraindividual health dynamics around transition to legal marriage

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