Socioeconomic Inequalities In Health Research Articles

Socioeconomic inequalities in adolescent mental health in the Nordic countries in the 2000s - A study using cross-sectional data from the Health Behaviour in School-aged Children study

BackgroundAdolescents in Sweden experience more mental health problems and lower mental well-being than adolescents in other Nordic countries. According to the literature, one possible explanation may be differences in income inequality. The at-risk-of-poverty rate varies significantly across the Nordic countries, and the highest rate is found in Sweden. The aims of the study were to examine socioeconomic inequalities in subjective health complaints and life satisfaction among adolescents in the Nordic countries during 2002 − 2018 and to explore whether subjective health complaints and life satisfaction were related to income inequality in terms of the at-risk-of-poverty rate at the country level.MethodsData regarding 15-year-olds from the Health Behaviour in School-aged Children study from five survey rounds (2002 − 2018) were used (n = 41,148). The HBSC Symptoms Checklist and Cantril’s ladder were used as measures of subjective health complaints and life satisfaction, respectively. The Family Affluence Scale, the Perceived Family Wealth item and the at-risk-of-poverty rate in each country were used as measures of individual-level socioeconomic conditions and country-level income inequality. Statistical methods involved ANOVA, multiple linear regressions and multilevel regression analyses.ResultsAbsolute and relative socioeconomic inequalities in both subjective health complaints and life satisfaction were found in all countries. Sweden showed average socioeconomic inequalities, Iceland the largest and Denmark the smallest. Country-level income inequality in terms of the at-risk-of-poverty rate was associated with a higher prevalence of subjective health complaints and lower levels of life satisfaction in all countries.ConclusionSocioeconomic inequalities in adolescent mental health and well-being persisted in Nordic countries in the 2000s. Increasing income inequality may have contributed to higher levels of SHC and lower LS in Sweden compared to the other Nordic countries. Policies improving families’ socioeconomic conditions and reducing income inequality at the country level are needed to improve and reduce inequalities in mental health and well-being among adolescents.

The Impact of Socioeconomic Factors on Pediatric Oral Health: A Review.

This narrative review examines the impact of socioeconomic status (SES) on pediatric oral health, emphasizing disparities in dental caries prevalence and oral health-related quality of life (OHRQoL) among children from different socioeconomic backgrounds. Utilizing an extensive literature search through PubMed, Google Scholar, and the chat.consensus.app plugin, we synthesized findings from studies published up to December 2023. The review highlights a consistent association between lower SES and adverse pediatric oral health outcomes, influenced by parental education, household income, food security, and neighborhood conditions. It also underscores the importance of the life-course perspective, showing how early-life socioeconomic disadvantages can have long-lasting effects on oral health. Furthermore, the review points to the critical role of school-based oral health education programs and the complex interplay between mental health, SES, and pediatric oral health. By examining the impact of socioeconomic factors across different childhood stages and the effectiveness of educational interventions, this review calls for targeted interventions and policy initiatives aimed at reducing socioeconomic inequalities in pediatric oral health. The findings advocate for a multifaceted approach to improve oral health outcomes for children across socioeconomic backgrounds, ensuring equitable access to oral health care and promoting overall well-being.

Neighbourhood characteristics and socioeconomic inequalities in child mental health: Cross-sectional and longitudinal findings from the Growing Up in Ireland study

This study examined the role of neighbourhood characteristics in explaining socioeconomic inequalities in child mental health (the total difficulties score from the Strengths and Difficulties Questionnaire) using data from Cohort ’08 of Growing Up in Ireland Waves 3 (age 5; baseline) and 5 (age 9; follow-up). Twenty neighbourhood items were grouped into neighbourhood safety, built environments, cohesion, interaction, and disorder. Data were analysed using regression, single and multiple mediation, and network psychometric analyses. We found that neighbourhood safety, cohesion, interaction, and disorder were associated with child mental health. These four domains separately (by up to 18 %) or in concert (by up to 23 %) partially explained socioeconomic inequalities in child mental health. Built environments may explain socioeconomic inequalities in mental health in urban children only. Findings from network analysis indicated that specific concerns over “people being drunk or taking drugs in public” and “this is a safe neighbourhood” had the strongest connections with child mental health. Improving neighbourhood characteristics may be important to reduce socioeconomic inequalities in child mental health in Ireland.

81. Trends and Socioeconomic Inequalities in Youth Mental Health, 2019 to 2022: Evidence from the Gallup World Poll

81. Trends and Socioeconomic Inequalities in Youth Mental Health, 2019 to 2022: Evidence from the Gallup World Poll

Investigating the individual and joint effects of socioeconomic status and lifestyle factors on mild cognitive impairment in older Italians living independently in the community: results from the NutBrain study

ObjectivesDespite extensive research, a clear understanding of the role of the interaction between lifestyle and socioeconomic status (SES) on cognitive health is still lacking. We investigated the joint association of socioeconomic factors in early to midlife and lifestyle in later life and Mild Cognitive Impairment (MCI). DesignObservational cross-sectional study. SettingNutBrain study in northern Italy. Participants773 community-dwelling adults aged 65 years and older (73.2 ± 6.0 SD, 58.6% females) participating in the NutBrain study (2019–2023). MeasurementsThree SES indicators (home ownership, educational level, occupation) and five lifestyle factors (adherence to Mediterranean diet, physical activity, smoking habits, social network, leisure activities) were selected. Each factor was scored and summed to calculate SES and healthy lifestyle scores; their joint effect was also examined. The association with MCI was assessed by logistic regression controlling for potential confounders. Sex-stratified analysis was performed. ResultsIn total, 24% of the subjects had MCI. The multivariable logistic model showed that a high SES and a high lifestyle score were associated with 81.8% (OR0.182; 95%CI 0.095−0.351), and 44.1% (OR0.559; 95%CI 0.323−0.968) lower odds of having MCI, respectively. When examining the joint effect of SES and lifestyle factors, the cognitive benefits of a healthy lifestyle were most pronounced in participants with low SES. A healthier lifestyle score was found to be significantly associated with lower odds of MCI, only in females. ConclusionsAccording to our findings, SES was positively associated with preserved cognitive function, highlighting the importance of active lifestyles in reducing socioeconomic health inequalities, particularly among those with a relatively low SES. Trial registrationTrial registration number NCT04461951, date of registration July 7, 2020 (retrospectively registered, ClinicalTrials.gov).

Socioeconomic Inequalities in Oral Health among Adults in Guangxi, China.

To examine the relationship between socioeconomic inequalities and oral health among adults in the Guangxi province of China. The present work was designed as a cross-sectional study, and comprises a secondary analysis of the Fourth National Oral Health Survey from 2015-2016. A multistage cluster sampling method was adopted for this survey, conducted in three urban and three rural districts Guangxi province. Dental examinations were conducted to determine oral health indicators: decayed teeth (DT), clinical attachment loss (CAL) and missing teeth (MT). The outcome measures were DT, CAL and MT. A structured questionnaire was used to collect data on demographic characteristics and socioeconomic status (SES). Multiple logistic regression models were used to analyse the relationship between SES and oral health by adjusting covariates. The sample consisted of 651 participants aged 35-74 years. Logisitic analysis showed a statistically significant association between SES and oral health indicators. In the fully adjusted model, participants with primary education were more likely to suffer more DT (OR = 2.67, 95% CI: 1.17-6.10), teeth with CAL ≥ 4 mm (OR = 2.15, 95% CI: 1.25-3.67) and MT (OR = 3.04, 95% CI: 1.65-5.60) compared to the higher education group. Participants with secondary education exhibited a higher likelihood of experiencing increased MT compared to those in the higher education group in the fully adjusted model (OR = 3.21, 95% CI: 1.78-5.76). Household income was associated with DT and MT in the unadjusted model only. There was strong relationship between SES and oral health of adults. The survey suggested a relationship between low educational attainment and oral health.

Association of healthy lifestyle with life expectancy free of five major disabilities in Chinese older adults.

Whether and to what extent multiple healthy lifestyles affect the longevity of people with disabilities, including those in basic activities of daily living, mobility, vision, hearing and cognition, is crucial to policymakers. We aimed to determine the impact of combined lifestyles on life expectancy (LE) lived with and without five disabilities. We recruited participants (n = 15 121 from the China Longitudinal Healthy Longevity Survey between 2008 and 2018. Healthy lifestyle levels were estimated from six factors: smoking, drinking, physical exercise, diet, cognitive activity, and sleep, which we categorised as favourable and unfavourable using the latent class growth mixture model throughout the follow-up period. We used Multi-state Markov models to assess the different disability stages of LE. Of the total LE at age 65, older adults with a favourable lifestyle spent 59.60% (disability-free LE (DFLE) = 10.24 years) without five disabilities in combination, whereas those with unfavourable lifestyle spent 56.74% (DFLE = 7.28 years). Furthermore, the percentage of DFLE was 64.98 (7.71 years) and 68.38 (9.91 years) in males with unfavourable and favourable lifestyle levels, respectively, and 47.92 (6.62 years) and 55.12 (10.30 years) for females. Compared to older adults with low socioeconomic status (SES) and unfavourable lifestyle level, those with lower SES and favourable lifestyle level had more 3.77 years of DFLE, those with higher SES and unfavourable lifestyle level had more 1.94 years, as well as those with higher SES and favourable lifestyle level had more 5.10 years at age 65. Corresponding associations were found separately for each of the five individual disabilities. A favourable lifestyle level was associated with longer total LE along with a higher proportion of DFLE and may contribute to narrowing socioeconomic health inequalities. Policymakers should develop lifestyle interventions and scale up rehabilitation services in primary care, thereby delaying disabilities to later ages, especially in low- and middle-income countries.

The relation between economic stressors and higher education students' mental health during the initial outbreak of the COVID-19 pandemic.

The COVID-19 pandemic has had a large impact on the financial situation of higher education students, disproportionately affecting students with a low socioeconomic status (SES). This raises the question of whether economic stressors related to COVID-19 have aggravated existing socioeconomic inequalities in mental health. This study examined the relationship between economic stressors and students' depressive symptoms, and the role of students' SES and countries' socioeconomic conditions. Data from the COVID-19 International Student Well-being Study was used for multilevel analyses, with depressive symptoms as dependent variable. Three indicators measured SES: educational level of the parents, ability to borrow money from their social network, and struggling with financial resources prior to COVID-19. Students with a low SES had more depressive symptoms, and those not able to borrow money and with parents without higher education were more exposed to a deterioration in their financial situation. Both economic stressors (reduction in working hours and a deterioration of their financial situation) were positively related to depressive symptoms. In addition, the positive relationship between a decrease in working hours and depressive symptoms was stronger in countries with a higher unemployment rate. We observed socioeconomic inequalities in students' mental health, which, in part, can be ascribed to a larger exposure to the economic stressors related to COVID-19 among students' with a low SES. The macroeconomic context also played a role, as the impact of a reduction in working hours on depressive symptoms was stronger in countries with poor economic conditions.

Effectiveness of oral health interventions for schoolchildren from disadvantaged backgrounds: a systematic review protocol.

Disadvantaged schoolchildren from rural and low socioeconomic backgrounds face persistent oral health inequalities, specifically dental caries, and periodontal diseases. This protocol aims to review the effectiveness of promotive and preventive oral health interventions for improving the oral health of primary schoolchildren in these areas. We will search the PubMed, MEDLINE, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) via EBSCOhost, Cochrane Library, Web of Science, Dentistry and Oral Sciences databases for studies published from 2000-2023. The review includes randomised/nonrandomised controlled trials and community trials evaluating the effectiveness of promotive and preventive oral health interventions on at least one of these outcomes: changes in dental caries status, periodontal disease status, oral hygiene status/practices, sugar consumption, or smoking behaviours. Two reviewers will independently assess the searched articles, extract the data, and assess the risk of bias in the studies using the Cochrane Risk of Bias 2 (ROB 2) for randomised controlled trials and Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) for non-randomised controlled trials. Both narrative and quantitative analyses will be conducted. However, only narrative synthesis will be performed if the data are substantially heterogeneous. The synthesised evidence from this review can inform policymakers on evidence-based interventions to improve the oral health outcomes of schoolchildren from rural and low socioeconomic backgrounds. Systematic Review Registration PROSPERO (Registration number: CRD42022344898).

Effect of socioeconomic status on life expectancy From the population to patients

Life expectancy exists along a social gradient, where those with a high socioeconomic status (SES) live longer. The effect of SES can be explained via behavioral, material, and psychosocial pathways, which can be modified through social and public health policies. The behavioral pathway states that harmful health behaviors, like smoking, are more common among those of lower SES. The material pathway states that SES give access to different health-beneficial resources, like safe housing or healthy food. Finally, the psychosocial pathway states that a low SES causes a lack of autonomy leading to chronic stress. Understanding how SES affects life expectancy has clinical implications and is important to reduce socioeconomic health inequalities at the population level.

Socioeconomic inequalities in health and healthcare utilization among the elderly in Brazil: results from the 2019 National Health Survey

ObjectivesTo assess socioeconomic-related inequalities in health and healthcare utilization among the elderly in Brazil. Study designCross-sectional nationally representative household-based survey. MethodsWe evaluated the Brazilian National Health Survey data collected in 2019. We computed the prevalence of measures of health conditions and healthcare utilization by age-bracket and markers of socioeconomic status—income, educational attainment, and race/ethnicity—among individuals aged 60 or older. We further employed logistic regression models, adjusted for a wide set of covariates, to estimate the relationship between socioeconomic status and those outcomes. ResultsHigher-income and more educated individuals exhibit better health conditions compared to their lower-income and less-educated counterparts within each age bracket. Results from regression models showed strong associations with income and educational attainment for most health conditions: health status, physical activity, difficulties with activities of daily living and instrumental activities of daily living, and depression. For most conditions, weaker or no associations with race/ethnicity were found. Individuals in the highest income quintile and that completed higher education also had higher odds of having consulted a physician, while high-income individuals had lower odds of having received emergency care at home. ConclusionsThe findings of this study highlight the significant socioeconomic inequalities in the health of the elderly population in Brazil. The substantial and pervasive nature of these inequalities stresses the need for action to address them.

The long-term impact of the Covid-19 pandemic on financial insecurity in vulnerable families: Findings from the Born in Bradford Covid-19 longitudinal study.

There is growing recognition that the public health measures employed to control the spread of the COVID-19 pandemic had unintended consequences on socioeconomic security and health inequalities, having the greatest impact on the most vulnerable groups. This longitudinal study aims to explore the medium to long-term impacts of the COVID-19 pandemic and subsequent public health measures on financial security for families living in the deprived and ethnically diverse city of Bradford. We collected data at four time points before and during the pandemic from mothers who participated in one of two prospective birth cohort studies in Bradford. The findings demonstrate that the risk of experiencing financial insecurity rose sharply during the pandemic and has not returned to pre-COVID-19 baseline levels. Several individual characteristics were found to be possible predictors of financial insecurity, including homeowner status, free school meal eligibility and not working. Protective factors against financial insecurity include: living in more affluent areas; greater levels of educational attainment; and families with two or more adults in the household. Notably, families of Pakistani Heritage were found to have the greatest risk of experiencing financial insecurity throughout the pandemic. Furthermore, this study demonstrated that there were strong associations between financial insecurity and maternal health and wellbeing outcomes, with mothers experiencing financial insecurity being more likely to report unsatisfactory general health and clinically important symptoms of depression and anxiety. The findings of this study highlight that the impact of financial insecurity experienced by mothers and their families throughout the pandemic was severe, wide ranging and affected the most vulnerable. In the wake of the pandemic, the emerging cost of living and energy crisis emphasises the urgent need for policy makers to act to support vulnerable families to prevent further widening of existing health and social inequalities.

The Implications of the COVID-19 Pandemic for the Construction of the Family Affluence Scale: Findings from 16 Countries

The Family Affluence Scale (FAS) is a widely used and validated instrument to measure adolescents’ socioeconomic status (SES). It is plausible that the COVID-19 pandemic and resulting social and economic changes have affected the capacity of the six-item FAS-III to measure adolescent SES, particularly the holiday and computer items. Using data from 247,503 adolescents from 16 European countries participating in the Health Behaviour in School-aged Children (HBSC) study before (2013/14 and 2017/18) and during (2021/22) the pandemic, the present study aims to fill this gap. Findings showed that although the internal consistency of the scale decreased during the pandemic, related to the functioning of the computer and especially the holiday item, it was still acceptable in all countries. Furthermore, measurement invariance analysis showed that during the pandemic the item thresholds of the computer and particularly the holiday item deviated from the thresholds of these items before the pandemic. However, all item factor loadings were comparable to the factor loadings before the pandemic. In addition, during the pandemic the computer and holiday item and their correlations with health-related outcomes were mostly still in the expected direction. Removing these items from the scale yielded comparable or decreased scale criterion validity as compared to the original FAS-III scale in most countries. These findings inform future research that although mean differences in family affluence levels before and during the pandemic should be interpreted with caution, it is a suitable tool to study (changes in) socioeconomic health inequalities among adolescents during the pandemic.

Perceived health inequalities: are the UK and US public aware of occupation-related health inequality, and do they wish to see it reduced?

BackgroundOne underexamined factor in the study of lay views of socioeconomic health inequalities is occupation-related health. Examining health by occupational social class has a long history in the UK but has been comparatively overlooked in US public health literatures, where the relationship between health and work has attended more to hazard exposure.MethodsRepresentative samples of the UK and US indicated the perceived and ideal lifespan of people working in “higher managerial/professional” and “routine” occupations. We examine perceptions of inequality and desires for equality across occupation groups as a function of country and key socio-demographic variables.Results67.8% of UK and 53.7% of US participants identified that professionals live longer than routine workers. Multivariate models indicated that US participants were markedly less likely to be aware of occupation-related inequalities after controlling for age, gender, and education. Awareness was negatively related to age (in the US) and recent voting behaviours (both samples). Desiring equal life expectancy was less likely in the US sample, and less likely across both samples among older participants and those with lower levels of education.ConclusionEmploying a novel approach to measuring perceived and ideal life expectancy inequality, this is the first study to examine perceptions of lifespan inequality by occupational groups. It reports widespread understanding of the occupation-related gradient in lifespan and a desire that these inequalities be eliminated in the UK, but considerably less awareness and desire for equality in the US. Greater tolerance for social status inequalities in the US than other similar countries appear to also extend to differences in life expectancy.

Socioeconomic disparity in mortality and the burden of cardiovascular disease: analysis of the Prospective Urban Rural Epidemiology (PURE)-China cohort study

Although socioeconomic inequality in cardiovascular health has long been a public health focus, the differences in cardiovascular-disease burden and mortality between people with different socioeconomic statuses has yet to be adequately addressed. We aimed to assess the effects of socioeconomic status, measured via three socioeconomic-status indicators (ie, education, occupation, and household wealth and a composite socioeconomic-status disparity index, on mortality and cardiovascular-disease burden (ie, incidence, mortality, and admission to hospital) in China. For this analysis, we used data from the Prospective Urban Rural Epidemiology (PURE)-China cohort study, which enrolled adults aged 35-70 years from 115 urban and rural areas in 12 provinces in China between Jan 1, 2005, and Dec 31, 2009. Final follow-up was on Aug 30, 2021. Indicators of socioeconomic status were education, occupation, and household wealth; these individual indicators were also used to create an integrated socioeconomic-status index via latent class analysis. Standard questionnaires administered by trained researchers were used to obtain baseline data and were supplemeted by physical measurements. The primary outcomes were all-cause mortality, cardiovascular-disease mortality, non-cardiovascular-disease mortality, major cardiovascular disease, and cardiovascular-disease admission to hospital. Hazard ratios (HRs) and average marginal effects were used to assess the association between the primary outcomes and socioeconomic status. Of 47 931 participants enrolled in the PURE-China study, 47 278 (98·6%) had complete information on sex and follow-up. After excluding 1189 (2·5%) participants with missing data on education, household wealth, and occupation at baseline, 46 089 participants were included in this analysis. Median follow-up was 11·9 years (IQR 9·5-12·6); 26 860 (58·3%) of 46 089 participants were female and 19 229 (41·7%) were male. Having no or primary education, unskilled occupation, or being in the lowest third of household wealth was associated with a higher risk of all-cause mortality, cardiovascular-disease mortality, non-cardiovascular-disease mortality, major cardiovascular disease, and cardiovascular-disease admission to hospital compared with having higher education, a professional or managerial occupation, or more household wealth. After adjustment for confounders, people categorised as having low integrated socioeconomic status based on the index had a higher risk of all-cause mortality (HR 1·65 [95% CI 1·42-1·92]), cardiovascular-disease mortality (2·19 [1·68-2·85]), non-cardiovascular disease mortality (1·43 [1·18-1·72]), major cardiovascular disease (1·43 [1·27-1·61]) and cardiovascular-disease admission to hospital (1·14 [1·01-1·28]) compared with people categorised as having high integrated socioeconomic status. Socioeconomic-status inequalities in mortality and cardiovascular-disease outcomes exist in China. Targeted policies of equal health-care resource allocation should be promoted to equitably benefit people with fewer years of education and less household wealth. Funding sources are listed at the end of the Article.

Socioeconomic inequality in self-rated health and its determinants: an Oaxaca blinder decomposition in Ilam, West of Iran during 2023

AimTo determine inequality and decompose it’s in Self-Rated Health (SRH).MethodThis population-based cross-sectional study was undertaken on the entire population of the city of Ilam, Iran, in 2023. Multi-stage stratified cluster random sampling with proportion-to-size approach was used to select the participants. Oaxaca-Blinder decomposition technique was used to show the amount of inequity in SRH and to decompose of the gap of SRH between the poor and the rich group of participants.Results1370 persons participated in the study. The 59.38% of participants stated good SRH status and just 8.86% of participants had poor SRH status. The results of the Oaxaca-Blinder decomposition revealed a considerable gap (15.87%) in the poor status of SRH between the rich and the poor. A large proportion (89.66%) of this difference was described by explained portion of the model. The results of decomposition showed that economic status was directly responsible for explaining 27.98% of overall inequality gap between rich and poor people. Moreover, hopelessness to future (32.64%), having an underlying disease (18.34%) and difference in the education level (10.71%) were associated with an increase in inequality disfavoring the poor.ConclusionFor people suffering from underlying disease, it is suggested to devise policies to improve access to/and remove healthcare utilization barriers. To address hopelessness to future, it is recommended to carry out further studies to reveal factors which affect it in more details. This can help policy makers to formulate more realistic and evidence-informed policies on order to lessen the current socioeconomic inequity in SRH.

Microsimulation as a flexible tool to evaluate policies and their impact on socioeconomic inequalities in health.

Microsimulation as a flexible tool to evaluate policies and their impact on socioeconomic inequalities in health.

Do differences in sport participation contribute to socioeconomic health inequalities? Evidence from the Lifelines cohort study on all-cause mortality, diabetes and obesity

Little is known about the role of sport participation in socioeconomic health inequalities. We studied the association between different aspects of sport participation with all-cause mortality, type 2 diabetes mellitus (T2DM) and obesity, including inequalities between socioeconomic subpopulations. Using the Dutch Lifelines cohort study (n = 84,230), we assessed the associations of sport participation, as well as the amount, intensity, type and number of sports, with all-cause mortality, T2DM and obesity in individuals. We studied the effect of sport participation on health outcomes within and between educational categories. Outcomes were compared with moderate to vigorous physical activity (MVPA). Sport participation was significantly associated with lower mortality (HR = 0.81), T2DM (HR = 0.70), and obesity (HR = 0.77). No significant additional effects of the amount or intensity of sport participation were found, while participating in teams sport was associated with significantly lower mortality (HR = 0.53) compared with other types of sport. These effects were similar among educational categories. Sport participation explained between 11% (T2DM and obesity) and 22% (mortality) of health inequalities between educational categories. This was more than twice the effect size of MVPA. The sensitivity analysis with net income as the socioeconomic indicator showed similar results. Our results suggest that to reduce socioeconomic differences in health, public health policies should focus on increasing sport participation in groups with a low socioeconomic status, rather than increasing the amount or intensity of sport participation, or MVPA in general.

Trajectories of hospitalizations after age-based statutory retirement

Retirement years are ideally spent in good health. We aimed to produce new information using person-oriented methods by identifying groups of statutory retirees who did or did not achieve this objective and the factors that distinguish these groups from each other. Our particular focus was on the years directly after the transition into retirement, and the pre-retirement factors that explained the development of health, using a more severe health-related outcome—hospitalization. We studied the retirement, hospitalizations, education, and work characteristics of former employees of the City of Helsinki, Finland (N = 6569), from complete registers. We used group-based trajectory models and identified groups of constant low, constant high, decreasing, and temporarily occurring hospitalizations, and one group of increasing hospitalizations among women and two groups of earlier and later increasing hospitalizations among men. Multinomial regression models showed that among women, belonging to groups with less favourable health was associated with secondary education, older age at retirement, and reduced working hours. Education and work characteristics before retirement both contribute to the development of health, as indicated by hospitalizations directly after retirement. Our findings show that socioeconomic inequalities in health are persistent and should also be addressed after transition into retirement.

Sociodemographic decomposition of inequality in self-rated health: A cross-sectional study in Hubei, China

Objectives: Health inequality is associated with profound social, health and economic costs. Despite extensive studies about inequality in health outcomes, our understanding of inequality in self-rated health is quite limited. This study aimed to determine the inequality in self-rated health and its associated factors in Hubei populations, China. Methods: A cross-sectional questionnaire survey was conducted on the community residents purposively selected from six municipalities in Hubei province, China. Participants were asked to rate their health on a five-point Likert scale, ranging from 1 to 5. A total of 1336 valid questionnaires were collected. Inequality in self-rated health was assessed using concentration index and further decomposed to measure sociodemographic inequality in the health of residents. Results: Two thirds (66%) of respondents rated their health as “excellent/very good/good”, while 34% rated it as fair or poor. The income-related concentration index was 0.0321 (95% CI, 0.0229 to 0.0413), indicating a concentration of poor self-rated health in the low-income groups. The CI of SRH in urban areas was 0.0239, which was lower than that in rural areas (0.0379). Age (17.5%) made the biggest contribution to the inequality in SRH, which was followed by employment (15.7%), income (8.5%), education (4.5%) and physical exercise (3.0%). Conclusions: There exist socioeconomic inequalities in self-rated health in Hubei, China. Policy priorities should be given to rural area, the older people and those with low economic participation.