Welfare-related health inequality: does the choice of measure matter?

Health disparity among older adults in urban China: The role of local fiscal conditions

This study explores the disparities in older adults' self-rated health within the urban landscape of China. Drawing on the 1% national population survey of China in 2015, it highlights how variations in city development contribute to geographical health disparities among older residents. In the era of the decentralized fiscal system, a crucial mechanism identified is the role of cities' local fiscal revenue in connecting their socioeconomic development and the health status among older adults. Despite efforts by cities in lower socioeconomic positions to increase fiscal expenditure and address deficits through central transfer payments, they prove inadequate in effectively mitigating population health disparities. The prioritization of economic growth and neglect of public service provision responsibilities are fundamental causes within this fiscal framework. The findings underscore the urgent need for increased central transfer payments in public services to address the growing disparities in older adults' health.

Cautionary tails of grip strength in health inequality studies: An analysis from the Canadian longitudinal study on aging

Self-rated health is widely used in studies of the socioeconomic gradient of health in community-based populations. Its subjectivity may lead to under- or over-estimation of a true underlying socioeconomic gradient and has increased interest in searching for alternative, objective measures of health. Grip strength has emerged as one such alternative for community-based older populations, yet no study has directly assessed the relationship between these two measures and compared their associations with socioeconomic status and health behaviours. Using 26,754 participants aged 45-85 years in the baseline data of the Canadian Longitudinal Study on Aging Comprehensive Cohort, we estimated adjusted-grip strength through indirect standardization using age, sex, height, weight, and their square terms and used ANOVA to assess the variance of adjusted-grip strength within and between each self-rated health category. We ran four separate logistic regression models, examining unhealthy tails (those reporting poor health vs. not and those at the bottom 8th percentile of adjusted-grip strength vs. above) and healthy tails (those reporting excellent health vs. not and those at the top 20th percentile of adjusted-grip strength vs. below). Stronger adjusted-grip strength correlated with better self-rated health, but only 2% of the total variance of adjusted-grip strength was explained by variance between the self-rated health categories. While self-rated health largely showed the expected socioeconomic gradients and positive relationships with health enhancing behaviours, adjusted-grip strength showed no clear, consistent associations with either socioeconomic or health behaviour variables. The results give caution about using grip strength as an objective alternative to self-rated health in studies of social inequalities in health. Empirical approaches demand careful considerations as to which dimensions of health and corresponding measures of health are most relevant to the context being studied.

Thank goodness for stickiness: Unravelling the evolution of income-related health inequalities before and after the Great Recession in Europe

The Great Recession in Europe sparked concerns that the crisis would lead to increased income related health inequalities (IRHI). Did this come to pass, and what role, if any, did government transfers play in the evolution of these inequalities? Motivated by these questions, this paper seeks to (i) study the evolution of IRHI during the crisis, and (ii) decompose these evolutions to examine the separate roles of government versus market transfers. Using panel data for 7 EU countries from 2004 to 2013, we find no evidence that IRHI persistently rose after 2008, even in countries most affected by the crisis. Our decomposition reveals that, while the health of the poorest did indeed worsen during the crisis, IRHI were prevented from increasing by the relative stickiness of old age pension benefits compared to the market incomes of younger groups. Austerity measures weakened the IRHI reducing effect of government transfers.

Health Measurement and Health Inequality Over the Life Course: A Comparison of Self-rated Health, SF-12, and Grip Strength

The cumulative (dis)advantage hypothesis predicts education differences in health to increase with age. All previous tests of this hypothesis were based on self-reported health measures. Recent research has suggested that self-reported health measures may not adequately capture differences in key analytical constructs, including education, age, cohort, and gender. In this study, I tested the cumulative (dis)advantage hypothesis using a self-reported subjective measure (self-rated health), a self-reported semi-objective measure (PCS based on SF-12), and an objective measure (grip strength) of general physical health. Hierarchical linear models applied to five waves of panel data (SOEP, 2006-2014, N = 3,635 individuals aged 25 to 83, comprising N = 9,869 person-years) showed large differences between health measures. Among men, education differences in both self-reported measures of health widened substantially with age, consistent with the cumulative (dis)advantage hypothesis. For grip strength, education differences were small and changed little with age, inconsistent with the hypothesis. Among women, education differences in both self-reported measures of health remained stable over the life course, but they widened substantially when measured by grip strength. I conclude that evidence on the cumulative (dis)advantage hypothesis is sensitive to the choice of a health measure.

Women’s health: a benefit of education in Australia

Purpose

The purpose of this paper is to examine the relationship between education and health amongst Australian women.

Design/methodology/approach

This study uses the Household, Income and Labour Dynamics in Australia data set. Spouse’s education is employed as an instrument to solve the potential endogeneity of educational attainment.

Findings

The results indicate that an additional year of schooling can lead to an increase in self-reported health, physical health, mental health and a reduced likelihood of having long-term health conditions. Women who are not in the labour force are likely to enjoy higher benefits of education compared to their employed counterparts. The findings also suggest that the relationship between education and health can be explained by the extent of positive health behaviours and social capital as mediators.

Research limitations/implications

The conclusion from the results might be different in the case of men, reducing the generalisability of the results. Several objective health variables should be used to provide further aspects of health on which education has an impact.

Practical implications

As the positive effect of education on women’s health is empirically found, investment in women’s education should be seriously considered and reevaluated.

Originality/value

This paper focuses on Australian women which not only reduces the heterogeneity between genders but also adds to the rare number of studies on this topic in Australia. This paper also employs a formal mediation analysis to examine what are the mechanisms explaining the relationship between education and health.

Household Income Relationship With Health Services Utilization and Healthcare Expenditures in People Aged 75 Years or Older in Japan: A Population-Based Study Using Medical and Long-term Care Insurance Claims Data

Background

This study aimed to determine whether there are disparities in healthcare services utilization according to household income among people aged 75 years or older in Japan.

Methods

We used data on medical and long-term care (LTC) insurance claims and on LTC insurance premiums and needs levels for people aged 75 years or older in a suburban city. Data on people receiving public welfare were not available. Participants were categorized according to household income level using LTC insurance premiums data. The associations of low income with physician visit frequency, length of hospital stay (LOS), and medical and LTC expenditures were evaluated and adjusted for 5-year age groups and LTC needs level.

Results

The study analyzed 12,852 men and 18,020 women, among which 13.3% and 41.5%, respectively, were categorized as low income. Participants with low income for both genders were more likely to be functionally dependent. In the adjusted analyses, lower income was associated with fewer physician visits (incidence rate ratio [IRR] 0.90; 95% confidence interval [CI], 0.87–0.92 for men and IRR 0.97; 95% CI, 0.95–0.99 for women), longer LOS (IRR 1.98; 95% CI, 1.54–2.56 and IRR 1.42; 95% CI, 1.20–1.67, respectively), and higher total expenditures (exp(β) 1.09; 95% CI, 1.01–1.18 and exp(β) 1.09; 95% CI, 1.05–1.14, respectively).

Conclusions

This study suggests that older people with lower income had fewer consultations with physicians but an increased use of inpatient services. The income categorization used in this study may be an appropriate proxy of socioeconomic status.

Income-rich and wealth-poor? The impact of measures of socio-economic status in the analysis of the distribution of long-term care use among older people

This article aims to investigate the impact of using 2 measures of socio-economic status on the analysis of how informal care and home care use are distributed among older people living in the community. Using data from the Survey of Health, Ageing and Retirement in Europe for 14 European countries, we estimate differences in corrected concentration indices for use of informal care and home care, using equivalised household net income and equivalised net worth (as a proxy for wealth). We also calculate horizontal inequity indices using both measures of socio-economic status and accounting for differences in need. The findings show that using wealth as a ranking variable results, as a rule, in a less pro-poor inequality of use for both informal and home care. Once differences in need are controlled for (horizontal inequity), wealth still results in a less pro-poor distribution for informal care, in comparison with income, whereas the opposite is observed for home care. Possible explanations for these differences and research and policy implications are discussed.

Understanding the effect of retirement on health: Mechanisms and heterogeneity

This paper investigates the mechanisms behind the health effects of retirement. Using a Regression Discontinuity Design to exploit financial incentives in the German pension system for identification, I find that retirement improves subjective health status and mental health, while also reducing outpatient care utilization. I explore a wide range of health behaviors, time use, and effect heterogeneity as potential mechanisms. Relief from work-related stress and strain, increased sleep duration as well as more frequent physical exercise seem to be key mechanisms through which retirement affects health.

Health inequalities in the European Union: an empirical analysis of the dynamics of regional differences

In a panel setting, we analyse the speed of (beta) convergence of (cause-specific) mortality and life expectancy at birth in EU countries between 1995 and 2009. Our contribution is threefold. First, in contrast to earlier literature, we allow the convergence rate to vary, and thereby uncover significant differences in the speed of convergence across time and regions. Second, we control for spatial correlations across regions. Third, we estimate convergence among regions, rather than countries, and thereby highlight noteworthy variations within a country. Although we find (beta) convergence on average, we also identify significant differences in the catching-up process across both time and regions. Moreover, we use the coefficient of variation to measure the dynamics of dispersion levels of mortality and life expectancy (sigma convergence) and, surprisingly, find no reduction, on average, in dispersion levels. Consequently, if the reduction of dispersion is the ultimate measure of convergence, then, to the best of our knowledge, our study is the first that shows a lack of convergence in health across EU regions.

Analyzing regional variation in health care utilization using (rich) household microdata

This paper exploits rich SOEP microdata to analyze state-level variation in health care utilization in Germany. Unlike most studies in the field of the Small Area Variation (SAV) literature, our approach allows us to net out a large array of individual-level and state-level factors that may contribute to the geographic variation in health care utilization. The raw data suggest that state-level hospitalization rates vary from 65 to 165 percent of the national mean. Ambulatory doctor visits range from 90 to 120 percent of the national mean. Interestingly, in the former GDR states, doctor visit rates are significantly below the national mean, while hospitalization rates lie above the national mean. The significant state-level differences vanish once we control for individual-level socio-economic characteristics, the respondents' health status, their health behavior as well as supply-side state-level factors.