Dataset Information

To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study.

ABSTRACT: Background:Self-rated health (SRH), an attractive measure for health monitoring, shows persistent inequalities with regard to socioeconomic status (SES). However, knowledge on the extent to which inequalities in SRH reflect inequalities in disease burden is lacking.

Methods:Data come from the multi-ethnic HEalthy LIfe in an Urban Setting study (Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish or Moroccan origin, N = 19 379, aged 18-70). SES was defined by educational and occupational level. Disease burden was operationalized as chronic diseases, physical and mental functioning (measured with SF-12) and depressive symptoms (measured with PHQ-9). We applied logistic regression analyses and reported average marginal effects (AME).

Results:Dutch origin participants with low educational or low occupational level had higher probabilities of reporting fair/poor SRH, compared to the highest levels (AME = 0.20 95% CI: 0.13;0.27; and 0.12 (0.09;0.15), respectively). Associations were attenuated after adjusting for all disease burden indicators, to AME = 0.03 (0.01;0.04) and AME = 0.02 (-0.00;0.04). In all the non-Dutch origin groups, a larger part of the inequalities remained after adjustment.

Conclusion:Socioeconomic inequalities in SRH are for a large part explained by higher disease burden in lower socioeconomic groups, but less so in those with non-Dutch origin. Future research should examine if our conclusions also hold for trend data on inequalities in SRH.

SUBMITTER: Galenkamp H

PROVIDER: S-EPMC7685859 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study.

Galenkamp Henrike H van Oers Hans H Stronks Karien K

Journal of public health (Oxford, England) 20201101 4

<h4>Background</h4>Self-rated health (SRH), an attractive measure for health monitoring, shows persistent inequalities with regard to socioeconomic status (SES). However, knowledge on the extent to which inequalities in SRH reflect inequalities in disease burden is lacking.<h4>Methods</h4>Data come from the multi-ethnic HEalthy LIfe in an Urban Setting study (Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish or Moroccan origin, N = 19 379, aged 18-70). SES was defined by educa ...[more]

PMID: 31838505

Similar Datasets

Project description:BackgroundPrevious studies have reported large socioeconomic inequalities in mortality from conditions amenable to medical intervention, but it is unclear whether these can be attributed to inequalities in access or quality of health care, or to confounding influences such as inequalities in background risk of diseases. We therefore studied whether inequalities in mortality from conditions amenable to medical intervention vary between countries in patterns which differ from those observed for other (non-amenable) causes of death. More specifically, we hypothesized that, as compared to non-amenable causes, inequalities in mortality from amenable causes are more strongly associated with inequalities in health care use and less strongly with inequalities in common risk factors for disease such as smoking.MethodsCause-specific mortality data for people aged 30-74 years were obtained for 14 countries, and were analysed by calculating age-standardized mortality rates and relative risks comparing a lower with a higher educational group. Survey data on health care use and behavioural risk factors for people aged 30-74 years were obtained for 12 countries, and were analysed by calculating age-and sex-adjusted odds ratios comparing a low with a higher educational group. Patterns of association were explored by calculating correlation coefficients.ResultsIn most countries and for most amenable causes of death substantial inequalities in mortality were observed, but inequalities in mortality from amenable causes did not vary between countries in patterns that are different from those seen for inequalities in non-amenable mortality. As compared to non-amenable causes, inequalities in mortality from amenable causes are not more strongly associated with inequalities in health care use. Inequalities in mortality from amenable causes are also not less strongly associated with common risk factors such as smoking.ConclusionsWe did not find evidence that inequalities in mortality from amenable conditions are related to inequalities in access or quality of health care. Further research is needed to find the causes of socio-economic inequalities in mortality from amenable conditions, and caution should be exercised in interpreting these inequalities as indicating health care deficiencies.

Project description:BackgroundThere is socio-economic inequality in total alcohol-related harm, but knowledge of inequality in the incidence of specific alcohol-related diseases would be beneficial for prevention. Registry-based studies with nationwide coverage may reveal the full burden of socioeconomic inequality compared to what can be captured in questionnaire-based studies. We examined the incidence of alcohol-related liver disease (ALD) according to socioeconomic status and age.MethodsWe used national registries to identify patients with an incident diagnosis of ALD and their socioeconomic status in 2009-2018 in Denmark. We computed ALD incidence rates by socioeconomic status (education and employment status) and age-group (30-39, 40-49, 50-59, 60-69 years) and quantified the inequalities as the absolute and relative difference in incidence rates between low and high socioeconomic status.FindingsOf 17,473 patients with newly diagnosed ALD, 78% of whom had cirrhosis, 86% had a low or medium-low educational level and only 20% were employed. ALD patients were less likely to be employed in the 10 years prior to diagnosis than controls. The incidence rate of ALD correlated inversely with educational level, from 181 (95% CI, 167-197) to 910 (95% CI, 764-1086) per million person-years from the highest to the lowest educational level. By employment status, the incidence rate per million person-years was 211 (95% CI, 189-236) for employed and 3449 (95% CI, 2785-4271) for unemployed. Incidence rates increased gradually with age leading to larger inequalities in absolute numbers for older age-groups. Although ALD was rare in the younger age-groups, the relative differences in incidence rates between high and low socioeconomic status were large for these ages. The pattern of socioeconomic inequality in ALD incidence was similar for men and women.InterpretationThis study showed substantial socioeconomic inequalities in ALD incidence for people aged 30-69 years.FundingThe study was supported by grants from the Novo Nordisk Foundation (NNF18OC0054612) and the Research Fund of Bispebjerg Hospital.

Project description:BackgroundCountries in the South and Southeast Asia region grapple with significant challenges due to the double burden of malnutrition (DBM) in women. An understanding of the country specific DBM geographical and socioeconomic distribution in South and Southeast Asian countries will enable targeting of DBM interventions towards high-risk populations in the region. This study aimed to analyse anthropometric indicators for women's nutrition at national and subnational levels in seven South and Southeast Asian countries and assess the association between nutritional status and socioeconomic factors.MethodsWe used population-representative cross-sectional data from the Demographic and Health Surveys conducted between 2000 and 2017, for seven South and Southeast Asian countries (Bangladesh, Cambodia, India, Myanmar, Nepal, Pakistan, and Timor-Leste) and estimated national and subnational prevalence of women underweight and overweight. Using a concentration index (CI), we measured relative and absolute inequality across underweight and overweight in urban and rural areas in these countries. In addition, we estimated the health achievement index, integrating mean coverage of nutritional status and the distribution of coverage by rural and urban populations.FindingsThe prevalence of underweight women ranged from 7.0% (95% CI: 7.0-8.0%) in Pakistan in 2017 to 44.0% (95% CI: 42-45%) in Bangladesh in 2000 and overweight from 11.0% (95% CI: 10-12%) in Bangladesh in 2000 to 67.0% (95% CI: 66-68%) in Pakistan in 2017. In most countries, underweight disproportionately affected the poorest. The concentration indices for underweight were significant in all countries and ranged from -0.04 in Cambodia in 2014 to -0.38 in Pakistan in 2017. In contrast, overweight disproportionately affected the richest, with concentration indices for overweight significant in all countries, ranging from 0.16 in Cambodia in 2010 to 0.45 in Bangladesh in 2007. In most of the countries an absolute measure of inequality decreased overtime, whereas relative measures increased. Disachievement of underweight is more pronounced in rural populations compared to the urban ones.InterpretationsWe noted large geographical and socioeconomic disparities in women DBM in South and Southeast Asian countries, at national and subnational levels. Planning, implementation, and evaluation of existing intervention programmes for food and nutrition should be based on subnational level needs and outcomes.FundingThis research is partially funded by the Australian Government through the Australian Research Council's Centre of Excellence for Children and Families over the Life Course (Project ID CE200100025).

Project description:BackgroundHealthier dietary patterns are generally more costly than less healthy patterns, but dietary costs may be more important for dietary quality in lower educated and ethnic minority groups. The aim of this study was to investigate the association between dietary costs and dietary quality and interactions with ethnicity and socioeconomic position (SEP).MethodsWe used cross-sectional data from 4717 Dutch, Surinamese, Turkish and Moroccan origin participants of the multi-ethnic HELIUS study (the Netherlands), who completed an ethnic-specific food frequency questionnaire (FFQ). The primary outcome measure was dietary quality according to adherence to the Dutch Healthy Diet index 2015 (DHD15-index, range 0-130). Individual dietary costs (the monetary value attached to consumed diets in Euros) were estimated by merging a food price variable with the FFQ nutrient composition database. Regression analyses were used to examine main and interaction effects. Analyses were adjusted for age, sex, smoking, energy intake, physical activity, ethnicity and educational level.ResultsHaving higher dietary costs was associated with higher dietary quality. Analyses stratified by educational level showed that associations were stronger in higher educated (Btertile3 = 8.06, 95%CI = 5.63; 10.48) than in lower educated participants (Btertile3 = 5.09, 95%CI = 2.74; 7.44). Stratification by ethnic origin showed strongest associations in Turkish participants (Btertile2 = 9.31, 95%CI = 5.96; 12.65) and weakest associations in Moroccan participants (Btertile3 = 4.29, 95%CI = 0.58; 8.01). Regardless of their level of education, Turkish and Moroccan individuals consumed higher quality diets at the lowest cost than Dutch participants.ConclusionsThe importance of dietary costs for dietary quality differs between socioeconomic and ethnic subgroups. Increasing individual food budgets or decreasing food prices may be effective for the promotion of healthy diets, but differential effects across socioeconomic and ethnic subgroups may be expected.

Dataset Information

To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study.

Publications

To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets