Compared with whom? Reference groups in socio-economic comparisons and self-reported health in 34 countries

The heterogeneous well-being effects of intergenerational mobility perceptions

Individuals make comparisons with their parents which determine their intergenerational mobility perceptions, yet very little is known about the areas used for intergenerational comparison and whether these matter for individuals' well-being. In 2021 we commissioned a nationally representative survey in Georgia in which we explicitly asked 1159 individuals an open-ended question on the most important areas in their intergenerational comparisons. More than 170 types of answers were provided by respondents and many of these responses went beyond the standard indicators of intergenerational mobility. We show that the areas of intergenerational comparison significantly differ between those who perceive themselves as being downwardly and upwardly mobile or immobile using the measure of mobility previously validated in cross-national research. Using, among other statistical approaches, treatment effects estimators, we demonstrate that some areas of intergenerational comparison, particularly in terms of income attainment, are significantly and consistently associated with internationally validated measures of well-being.

A longitudinal study of perceived social position and health-related quality of life

BACKGROUND

A large body of evidence suggests that there is a social gradient in the association between perceived social position and various health outcomes. Yet only a fraction of this research uses longitudinal data, and these studies usually rely on two data points in time, consider a single health outcome measure, overlook non-linear effects of perceived social position, and come almost exclusively from the Western welfare democracies.

METHODS

Using data for 1921 individuals from three waves (2008, 2013, 2018) of the Polish Panel Survey (POLPAN), we fit between- and within-individuals hybrid-effects models with cluster-robust standard errors to investigate the association between one's perceived social position (self-placement on a socioeconomic hierarchy scale varying 1 to 10) and subsequent health-related quality of life (HRQoL) measured using the Nottingham Health Profile (NHP) and its six components.

RESULTS

We find that the association between perceived social position and health-related quality of life is larger when estimated between individuals than within individuals, yet in fixed- and hybrid-effects models perceived social position remains significantly and negatively linked with both the aggregated NHP measure as well as with its components such as emotional reaction, physical abilities, sleep, and social isolation. We also identify that starting to perceive oneself at the lower end of the social hierarchy is associated with a deteriorating health-related quality of life but a change at the top of the perceived social hierarchy is not linked with an improvement in NHP scores.

CONCLUSIONS

We provide new evidence on the significant and non-linear links between perceived social position and health-related quality of life and highlight possible pathways linking these two aspects of individuals' lives.

Exploring the relationship between multiple dimensions of subjective socioeconomic status and self-reported physical and mental health: the mediating role of affect

Introduction

This study aimed to investigate the predictive effects of two types of subjective socioeconomic status on self-reported physical and mental health. Specifically, we examined the MacArthur Scale (MacArthur) which measures perceived socioeconomic rank in the society and a novel scale called ComSim, which assessed how participants compared themselves socioeconomically to others coming from a similar socioeconomic background. We also considered the influence of income, education, and personal relative deprivation (PRD) in these analyses. Additionally, we explored whether these effects were mediated through negative and positive affect.

Methods

The data were collected through a cross-sectional, two-wave survey of 294 women and 294 men, with a mean age 41.6 years. Participants were recruited via an online platform.

Results

The results from multivariate regression models revealed that socioeconomic status measured with both the MacArthur Scale and ComSim significantly predicted both self-reported health measures, whereas income and education did not predict any of these measures in the full multivariate models. PRD only predicted self-reported mental health. Mediation analyses showed that negative and positive affect mediated the relationships between socioeconomic status measured by ComSim and self-reported health measures.

Discussion

These findings are discussed in the context of the similarity hypothesis of social comparison theory. The results underscore the importance of considering multiple dimensions when examining socioeconomic health disparities.

Does perceived social mobility affect health? Evidence from a fixed effects approach

RATIONALE

The question as to whether changing one's socioeconomic position over the life course affects health has not been answered in a conclusive manner. At the same time, it has been established that individuals who think of themselves that they are higher in the social hierarchy are healthier than those who think otherwise.

OBJECTIVE

In this study, we focus on perceived social mobility to shed new light on the issue of how social mobility affects health. We examine whether perceived social mobility, i.e., an individual's appraisal of doing better or worse than their parents, affects health by analyzing longitudinal data from Poland.

METHODS

Using a fixed effects approach to account for all time-invariant and important time-varying confounders, we analyze the Polish Panel Survey which has been collecting data on participants' social mobility perceptions along with information on their self-reported physical health and psychological wellbeing.

RESULTS

We find that perceived social mobility is a significant predictor of self-reported physical health and psychological wellbeing, even in models that adjust for a host of theoretically relevant control variables. The results demonstrate that upward subjective mobility has a consistent and strong positive effect on health outcomes. The effect of perceived social mobility is stronger for males and for those with less advantageous social origins.

CONCLUSIONS

Our findings are in line with the "from rags to riches" theoretical perspective, emphasizing the positive implications of upward social mobility on health through various psychological mechanisms. Based on our findings, we call for greater scholarly attention to subjective aspects of social mobility in research on health outcomes.

Social Mobility, Health and Wellbeing in Poland

Recently there has been a surge of interest in the consequences of intergenerational social mobility on individuals' health and wellbeing outcomes. However, studies on the effects of social mobility on health, using high-quality panel survey data, have almost exclusively been conducted in Western welfare democracies. To account for this gap, and using empirical data from one of the largest and most eventful post-communist countries, Poland, in this study we investigate how individuals' origin and destination socio-economic position and social mobility are linked to self-rated health and reported psychological wellbeing. We use the Polish Panel Survey (POLPAN) data to construct self-rated health and psychological wellbeing measures, origin, destination and occupational class mobility variables, and account for an extensive set of sociodemographic determinants of health. We employ diagonal reference models to distinguish social mobility effects from origin and destination effects, and account for possible health selection mechanisms. Our results suggest that there is an occupational class gradient in health in Poland and that both parental and own occupational class matter for individual health outcomes. We also find a positive reported psychological wellbeing effect for upward social mobility from the working to the professional class.

How democracy alters our view of inequality - and what it means for our health

BACKGROUND

Income inequality is associated with poor health when economic disparities are especially salient. Yet, political institutions may alter this relationship because democracies (as opposed to autocracies) may be more inclined to frame inequalities in negative rather than positive ways. Living in a particular political system potentially alters the messages individuals receive about whether inequality is large or small, good or bad, and this, in turn, might affect whether beliefs about inequality influence health. Further, media coverage of economic inequality may negatively affect health if it contributes toward the general perception that the gap between rich and poor has gone up, even if there has been no change in income differentials.

METHODS

In this study, we explore the relationship between democracy, perceptions of inequality, and self-rated health across 28 post-communist countries using survey and macro-level data, multilevel regression models, and inverse probability weighting to estimate the average treatment effect on the treated.

RESULTS

We find that self-rated health is higher in more democratic countries and lower among people who believe that inequality has risen in the last few years. Moreover, we observe that people in democracies are more likely to learn about rising inequality through watching television and that when they do it has a more harmful effect on their health than when people in autocracies learn about rising inequality through the same channel, suggesting that in countries where there is less trust in the television media learning about rising inequality is not as harmful for health.

CONCLUSIONS

Our results indicate that while democracies are generally good for well-being, they may not be unambiguously positive for health. This does not mean, of course, that inequality is good for health nor that, on average, autocracies have better health than democracies; but rather that being more aware of inequality can negatively affect self-rated health.

BMI and dissatisfaction with life: contextual factors and socioemotional costs of obesity

Purpose

In this study, we investigate whether individuals’ BMI categories are associated with being dissatisfied with one’s life, how this association is affected by the social comparison that individuals make, and what the role of the overall BMI levels in this process is.

Methods

We use data for 21,577 men and 27,415 women, collected in 2016 by the European Bank for Reconstruction and Development, from 34 countries in Europe, the Middle East, and Central Asia. To understand the moderating effect of contextual environment, we use multilevel mixed effect logistic regression models and data for national, regional, and cohort-specific BMI levels.

Result

We find that the association of BMI and dissatisfaction with life differs by gender, with overweight men being less likely to be dissatisfied with life than men with normal weight and obese women being more likely to be dissatisfied with life compared to women with normal weight. For contextual effects, we find that obese women in regions with low BMI levels are more likely to be dissatisfied with life. The effect of obesity on female life dissatisfaction is not observed in regions with high BMI levels. As for men, regional BMI levels affect the levels of life dissatisfaction but only for underweight men.

Conclusions

Our study adds additional nuance to the quality-of-life research by showing that the association between BMI and decreased life satisfaction is, at least partially, moderated by the contextual environment, and that the character of these effects differs by gender.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11136-021-02912-3.

Intergenerational social mobility predicts midlife well-being: Prospective evidence from two large British cohorts

RATIONALE

It is often assumed that experiencing an upward shift in social position from one generation to the next will provide happiness, yet empirical evidence demonstrating such a connection is limited.

OBJECTIVE

We provide a large-scale test of the relationship between intergenerational mobility and midlife life satisfaction using data from two prospective UK studies (N = 20,948).

METHOD

Intergenerational mobility was modelled as a formative construct gauging the extent to which individuals moved up or down the social hierarchy compared to their parents, on a continuum ranging from high levels of downward mobility to high levels of upward mobility.

RESULTS

An intergenerational increase in social mobility, captured by greater educational attainment, social status, and home size than one's parents was positively associated with life satisfaction at age 42 in both cohorts. Mediation analyses revealed that almost half of this relationship was explained by better self-reported health and fewer perceived financial difficulties amongst the upwardly mobile.

CONCLUSION

This study provides evidence that enhanced satisfaction with life may be a key outcome of intergenerational increases in social status.

Parental education, health literacy and children's adult body height

Human anthropometric traits, while significantly determined by genetic factors, are also affected by an individual's early life environment. An adult's body height is a valid indicator of their living conditions in childhood. Parental education has been shown to be one of the key covariates of individuals' health and height, both in childhood and adulthood. Parental functional literacy has been demonstrated to be another important determinant of child health, but this has largely been overlooked in studies on height. The objective of this study was to analyse the associations between parents' education, their functional literacy and their children's adult body height. The study used data for 39,240 individuals from the 2016 wave of the nationally representative Life in Transition Survey (LITS) conducted in 34 countries in Southern and Eastern Europe, the Middle East and Central Asia. Using linear and Poisson models, regression adjustment treatment estimators and multilevel mixed-effects linear regressions, the study analysed the links between mother's and father's educational attainment, parental functional literacy, measured by the number of books in the childhood home, and children's adult height. The models also included other individual and contextual covariates of height. The results demonstrated that mother's educational attainment and parental functional literacy have independent associations with children's adult body height. Sufficient literacy skills of the parent may have a positive effect on children's growth even if parental education is low. These associations remained significant across time. The study also provides evidence of a widening of the height gap for men born in the period just before and after systemic transition in post-socialist societies, which may suggest an increase in social differences in early living standards.

Inequality, validity of self-reported height, and its implications for BMI estimates: An analysis of randomly selected primary sampling units' data

Any systematic errors in self-reported height, a measure commonly used in health research, may produce biased BMI estimates and reduce the effectiveness of public health interventions. To our knowledge, none of the studies evaluating the validity of self-reported height explore this issue in cross-national settings. This study analyses data on a sub-set of 750 individuals with information on self-reported and measured height from the Life in Transition Survey (LITS) conducted in 34 European and Central Asian countries in 2016. We make use of the unique design of LITS in which all respondents reported their height, but in one randomly selected primary sampling unit in each country the actual height was also measured, using a portable stadiometer. In addition to analysing individual-level characteristics, using a multiply imputed dataset for missing data and multilevel mixed-effects regressions, we test if macro-level factors are associated with respondents under- or over-reporting their height. We find that on the aggregate level self-reported and measured height estimates are not statistically different, but some socio-demographic groups such as women and those who live in rural areas are likely to overestimate their height. Adjusting for this bias would lead to the higher estimates of the proportion of individuals who are overweight and obese. The results from multilevel analysis also show that macro-level factors do not per se explain the likelihood of misreporting height, but rather some of the effects of individual characteristics are moderated by income inequality.

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Systematic errors in self-reported height may produce biased BMI estimates.

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On the aggregate level self-reported and measured height are indistinguishable.

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Women and those who live in rural areas are likely to overestimate their height.

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This bias can increase the estimated population BMI level by 2.1%.

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Some of the effects of individual variables are moderated by income inequality.