How much do preventive health behaviors explain education- and income-related inequalities in health? Results of Oaxaca–Blinder decomposition analysis

Regional trends in mental health inequalities in young people aged 16-25 in the UK and the role of cuts to local government expenditure: Repeated cross-sectional analysis using the British household panel Survey/UK household longitudinal survey

Young people's mental health globally has been in decline. Because of their low perceived need, young people's services tend to be the first cut when budgets are reduced. There is a lack of evidence on how a reduction in services and opportunities for young people is associated with their mental health. Additionally, how this may be magnified by place and the assets and challenges of place. The aim of this study is to explore trends in young people's mental health measured by GHQ-12 over time in the twelve regions of the UK. We estimated an interrupted time series model using 2010 as a break point from which there was a shift in government policy to a prolonged period of large reductions in central government funding. Repeated cross-sectional data on young people aged 16-25 is used from the British Household Panel Survey and its successor survey UK Household Longitudinal Survey. Results showed a statistically significant reduction in mental health for young people living in the North East, Wales, and the East of England. The North East was the region with the largest reduction in funding and saw the greatest reduction in young people's mental health. Next, we look at how reductions in local government expenditure related to services for children and young people: children's social services, education, transportation, and culture; explain the observed decline in mental health. We employ a Blinder-Oaxaca Decomposition approach comparing young people's mental health between 2011 and 2017. Results show a marginally statistically significant decrease in young people's mental health over this time. Unobserved factors related to transport spending and children's social services explain some of this gap. Area level factors such as deprivation, infrastructure, and existing assets need to be considered when distributing funding for young people's services to avoid exacerbating regional inequalities in mental health.

Unmet needs and the effect of healthcare system generosity on prevention activity - A multilevel analysis

INTRODUCTION

Maintaining a healthy lifestyle and obtaining preventive care (hereafter, prevention-activity) usually have an inverse association with poverty status and unmet needs. We seek to estimate the extent to which the effect of individual unmet needs status on prevention-activity is moderated by the generosity of the healthcare system.

MATERIALS AND METHODS

Two datasets were combined: Pre-Covid Wave-8 (2019-2020) of the Survey of Health, Ageing and Retirement in Europe (SHARE, Release 8.0.0), with 46,500 individuals aged 50+ from 27 countries (26 European countries and Israel) and 12 healthcare generosity variables obtained from the OECD Health Statistics Library. An econometric two-level model was used in three sequentially models. Outcome variables included five prevention-activities align over a continuum (sports, smoking, flu vaccinations, mammography, and colon cancer screening) and unmet needs status, defined as the lack of resources necessary to meet basic human and medical needs.

RESULTS

We found that unmet needs at the individual level had a significant negative fixed effect in all of the prevention-activity models including a healthy lifestyle, primary prevention and secondary prevention. Sources of intra-country variation were social/public insurance, health expenditure and number of nurses, which have had a significant and positive effect on an individual's prevention-activities (except years of smoking). Nonetheless, the gaps in generous countries between people reporting on unmet need and others were larger or similar to those in less generous countries, suggesting that disparities increase with the generosity of the health system.

CONCLUSIONS

The study provides insight into the effect of health system generosity on socioeconomic inequalities in healthy lifestyle and prevention care. Our findings suggest that the state has an important and decisive role to play in ensuring that prevention services are accessible to the entire population, particularly those reporting unmet needs.

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

AIM

To determine inequality and decompose it's in Self-Rated Health (SRH).

METHOD

This 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.

RESULTS

1370 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.

CONCLUSION

For 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.

Social and economic factors and black-white disparities in cardiovascular health: A decomposition analysis

Background

Cardiovascular health (CVH) in Black adults, and particularly in Black women, has lagged behind White adults for decades and contributes to higher mortality rates for Black adults. We quantified the contribution of five social and economic factors to observed racial disparities in CVH by gender.

Methods

We analyzed data from N = 8,019 adults aged ≥20 years free of cardiovascular disease assessed in the National Health and Nutrition Examination Survey, 2011-2018. Social and economic factors included self-reported education, income, employment, food security, and marital status. CVH was measured using eight behavioral and clinical indicators. We utilized Kitagawa-Blinder-Oaxaca decomposition to quantify gendered racial differences in CVH accounted for by these factors.

Results

Black women (mean CVH = 79.3) had a lower age-adjusted CVH score compared to White women (mean CVH = 82.3) (mean difference [MD] = -3.01; 95% CI: -5.18, -0.84). Social and economic factors accounted for a 3.26-point disadvantage (95% CI: -4.12, -2.40) and a 0.25-point CVH score advantage due to factors not accounted for in the model. In women, income had the largest coefficient associated with CVH score (b = -1.48; 95% CI: -2.04, -0.92). Among men, social and economic factors accounted for a 2.27-point disadvantage (95% CI: -2.97, -1.56) with educational attainment being the largest coefficient associated with CVH score (b = -1.55; 95% CI: -2.03, -1.06). However, the disadvantage in men was offset by a 1.99 CVH score advantage that was not accounted for by factors in the model resulting in no racial difference in age-adjusted CVH score (MD = -0.28; 95% CI: -3.78, 3.22).

Conclusions

Racial differences in social and economic factors may contribute a large portion to the observed disparity in CVH between U.S. Black and White women.

Factors Associated with Maternal Healthcare Utilization Before and After Delivery Among Migrant Pregnant Women in China: An Observational Study

Background

Effective healthcare utilization throughout pregnancy is essential in protecting mother and child health, but the maternal healthcare utilization and its associated factors among migrant women are still underexplored.

Methods

The data came from the 2018 China Migrants Dynamic Survey. Our analysis included 6337 pregnant migrant women. Prenatal healthcare utilization comprises receiving at least 5 antenatal care (ANC) times and establishing the maternal health record within the first 12 weeks of pregnancy. Postnatal healthcare utilization refers to whether an individual received a postpartum visit and a physical health examination within 28 days and 42 days following delivery. A multivariate binary logit model was employed to investigate the factors related to maternal healthcare utilization.

Results

67.15% of the 6337 participants established health records within the first 12 weeks of pregnancy, and 88.35% received at least five ANC visits. 76.88% and 84.20% of migrant pregnant women received a postpartum visit and a health examination respectively. Age was positively correlated with receiving at least five ANC visits (OR:1.245, 95% CI: 1.038-1.493), a postpartum visit within 28 days (OR: 1.272, 95% CI: 1.107-1.460) and a physical examination within 42 days after delivery (OR=1.174, 95% CI: 1.002-1.376). Education, household income, health insurance and maternal health education were positively associated with prenatal and postnatal healthcare utilization (P<0.05). Number of Children negatively correlated with ANC times (OR: 0.742, 95% CI: 0.613-0.898) and receiving health examination after delivery (OR: 0.720, 95% CI: 0.610-0.849).

Conclusion

There is still potential for improvement in the maternal healthcare utilization, particularly in postnatal healthcare. Strengthening the follow-up, focusing on those who are younger, have lower socioeconomic status, and are members of ethnic minorities, and continuing to strengthen maternal health education for them can promote the maternal healthcare utilization before and after delivery.

Along party Lines: Examining the gubernatorial party difference in COVID-19 mortality rates in U.S. Counties

Drawing upon the literatures on risk factors for COVID-19 and the roles of political party and political partisanship in COVID-19 policies and outcomes, this study quantifies the extent to which differences in Republican- and Democrat-governed counties' observable characteristics explain the Republican - Democrat gap in COVID-19 mortality rate in the United States. We analyze the county COVID-19 mortality rate between February 1 and December 31, 2020 and employ the Blinder-Oaxaca decomposition method. We estimate the extent to which differences in county characteristics - demographic, socioeconomic, employment, health status, healthcare access, area geography, and Republican vote share, explain the difference in COVID-19 mortality rates in counties governed by Republican vs Democrat governors. Among 3,114 counties, Republican-governed counties had significantly higher COVID-19 mortality than did Democrat-governed counties (127 ± 86 vs 97 ± 80 per 100,000 population, p < 0.001). Results are sensitive to which weights are used: of the total gap of 30.3 deaths per 100,000 population, 12.8 to 20.5 deaths, or 42.2-67.7 %, are explained by differences in observable characteristics of Republican- and Democratic-governed counties. Difference in support for President Trump between Republican- and Democrat-governed counties explains 25 % of the additional deaths in Republican counties. Policies aimed at improving population health and lowering racial disparity in COVID-19 outcomes may also be correlated with reducing the partisan gap in COVID-19 mortality.

The Influence of Memorable Message Receipt on Dietary and Exercise Behavior among Self-Identified Black Women

Guided by Control Theory and the memorable messages framework, the current investigation examined the relationship between receipt of a health-related memorable message and self-reported diet and exercise behavior. A cross-sectional survey methodology was utilized to evaluate the relationship between receipt of a memorable message and dietary and exercise behaviors in a sample of Black women. Over 80% of the research sample (N = 121) reported receiving a memorable health message regarding diet and/or exercise. Women receiving a memorable message reported a significantly higher number of days engaging in healthy eating and exercise behaviors each week. Messages from medical professionals had the greatest impact on healthy dietary practices, while media-based messages were most influential on the enactment of exercise behavior. Additional research is warranted to determine how the utilization and reinforcement of memorable messages impacts health outcomes among Black women.

Associations of Socioeconomic Status and Healthy Lifestyle With Incidence of Dyslipidemia: A Prospective Chinese Governmental Employee Cohort Study

Objective

The purpose of the study was to test whether primary lifestyles mediate associations of SES with incidence of dyslipidemia and to explore interaction relations of lifestyles and SES with incidence of dyslipidemia.

Methods

We included 9,901 individuals at baseline from January 2018 to November 2019, and incidence data were updated to 31 December 2020. Dyslipidemia was defined as total cholesterol (TC) 6.2 mmol/L TC ≥ or triglycerides (TG) ≥2.3 mmol/L or low-density lipoprotein cholesterol (LDL-C) ≥4.1 mmol/L or high-density lipoprotein cholesterol (HDL-C) <1.0 mmol/L; or physician diagnosed dyslipidemia or lipid-lowering drugs use. Lifestyles, socioeconomic factors, and personal characteristics were collected by a questionnaire. A latent class analysis based on education, family income, and occupational position was used to assess the SES. Lifestyle score was calculated using cigarette smoking, alcohol consumption, physical activity, and diet. Cox proportional hazard models and multivariate analyses were used to explore the associations. The mediation effect was evaluated using bootstrap method.

Results

Participant mean age was 36.5 years (SD = 0.11). The cumulative incidence of dyslipidemia was 11.0% over a mean follow-up of 13.4 months. Compared with participants of high SES, those with low SES had higher risk of incidence of dyslipidemia [hazard ratio 1.32, 95% confidence interval (CI): 1.01–1.73], after adjusting for lifestyle scores and other covariates. The proportion mediated by lifestyles was 5.41% (95%CI: 4.17–7.11). A significant additive interaction was found between lifestyles and SES, whereas association between lifestyle and incidence of dyslipidemia was stronger among those of high SES. Additionally, individuals with low SES and no or one healthy lifestyle behavior had a higher risk of developing dyslipidemia than those with high SES and 3 or 4 healthy lifestyles.

Conclusion

Unhealthy lifestyles play a small moderating role in socioeconomic inequity in incidence of dyslipidemia among Chinese governmental employees, suggesting that promoting healthy lifestyles alone may not significantly reduce socioeconomic inequalities in health, and measures to address other social determinants of health should also be considered alongside.

Socioeconomic inequalities in physiological risk biomarkers and the role of lifestyles among Russians aged 35-69 years

Background

Socioeconomic inequalities in cardiovascular (CVD) health outcomes are well documented. While Russia has one of the highest levels of CVD mortality in the world, the literature on contemporary socio-economic inequalities in biomarker CVD risk factors is sparse. This paper aims to assess the extent and the direction of SEP inequalities in established physiological CVD risk biomarkers, and to explore the role of lifestyle factors in explaining SEP inequalities in physiological CVD risk biomarkers.

Methods

We used cross-sectional data from a general population-based survey of Russians aged 35-69 years living in two cities (n = 4540, Know Your Heart study 2015-18). Logistic models were used to assess the associations between raised physiological risk biomarkers levels (blood pressure levels, cholesterol levels, triglycerides, HbA1C, and C-reactive protein) and socioeconomic position (SEP) (education and household financial constraints) adjusting for age, obesity, smoking, alcohol and health-care seeking behavior.

Results

High education was negatively associated with a raised risk of blood pressure (systolic and diastolic) and C-reactive protein for both men and women. High education was positively associated with total cholesterol, with higher HDL levels among women, and with low triglycerides and HbA1c levels among men. For the remaining risk biomarkers, we found little statistical support for SEP inequalities. Adjustment for lifestyle factors, and particularly BMI and waist-hip ratio, led to a reduction in the observed SEP inequalities in raised biomarkers risk levels, especially among women. High financial constraints were weakly associated with high risk biomarkers levels, except for strong evidence for an association with C-reactive protein (men).

Conclusions

Notable differences in risk biomarkers inequalities were observed according to the SEP measure employed. Clear educational inequalities in raised physiological risk biomarkers levels, particularly in blood pressure and C-reactive protein were seen in Russia and are partly explained by lifestyle factors, particularly obesity among women. These findings provide evidence-based information on the need for tackling health inequalities in the Russian population, which may help to further contribute to CVD mortality decline.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-022-01650-3.

Social determinants of the Latinx diabetes health disparity: A Oaxaca-Blinder decomposition analysis

Latinx people living in the U.S. report a disproportionately high prevalence of diabetes. This project builds on the existing social determinants of diabetes literature by examining factors associated with a greater likelihood of diabetes and investigates factors correlated with the Latinx/non-Latinx disparity. This project studies the adult sample (18 and older) from the 2010–2018 IPUMS Health: National Health Interview Survey (NHIS) data. Logistic regression analyses are used to examine the patterns between reporting Latinx identity and reporting diabetes with additional subgroup analyses of the Latinx and non-Latinx groups. Then, Oaxaca-Blinder decomposition is used to examine the patterns explaining the difference in self-reported diabetes between the Latinx and non-Latinx population for the whole sample and by age group.

The logistic regression analyses show that after adjusting for age and other key social determinants of health, Latinx individuals are approximately 64.5% (OR 1.645, [95% CI, 1.536–1.760]) more likely to report being diagnosed with diabetes than non-Latinx individuals. Individual characteristics of age, race, and smoking behaviors are identified as suppressors of the gap, and conversely, characteristics of income, education, and BMI all contribute to the Latinx diabetes disparity gap. The Oaxaca-Blinder decomposition results show that the measured social determinants of health characteristics explain a meaningful amount of the Latinx diabetes gap. Importantly, differences in education and income (which are more immediately actionable policy areas) make larger contributions to the gap than BMI or other health behaviors.

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The Latinx diabetes disparity should always presented after adjusting for age.

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In the age-adjusted model, Latinx adults are 64.5% more likely to report diabetes.

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Oaxaca-Blinder decomposition analysis shows how factors such as income, education, and BMI drive the diabetes disparity.

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Income and education are identified as modifiable factors to be prioritized in policy interventions aimed at reducing the diabetes disparity.

Trends in socioeconomic inequalities in premature and avoidable mortality in Canada, 1991-2016

BACKGROUND

Recent epidemiologic findings suggest that socioeconomic inequalities in health may be widening over time. We examined trends in socioeconomic inequalities in premature and avoidable mortality in Canada.

METHODS

We conducted a population-based repeated cohort study using the 1991, 1996, 2001, 2006 and 2011 Canadian Census Health and Environment Cohorts. We linked individual-level Census records for adults aged 25-74 years to register-based mortality data. We defined premature mortality as death before age 75 years. For each census cohort, we estimated age-standardized rates, risk differences and risk ratios for premature and avoidable mortality by level of household income and education.

RESULTS

We identified 16 284 045 Census records. Between 1991 and 2016, premature mortality rates declined in all socioeconomic groups except for women without a high school diploma. Absolute income-related inequalities narrowed among men (from 2478 to 1915 deaths per 100 000) and widened among women (from 1008 to 1085 deaths per 100 000). Absolute education-related inequalities widened among men and women. Relative socioeconomic inequalities in premature mortality widened progressively over the study period. For example, the relative risk of premature mortality associated with the lowest income quintile increased from 2.10 (95% confidence interval [CI] 2.02-2.17) to 2.79 (95% CI 2.66-2.91) among men and from 1.72 (95% CI 1.63- 1.81) to 2.50 (95% CI 2.36-2.64) among women. Similar overall trends were observed for avoidable mortality.

INTERPRETATION

Socioeconomically disadvantaged groups have not benefited equally from recent declines in premature and avoidable mortality in Canada. Efforts to reduce socioeconomic inequalities and associated patterns of disadvantage are necessary to prevent this pattern of widening health inequalities from persisting or worsening over time.

Drivers of Cost Differences Between Nurse Practitioner and Physician Attributed Medicare Beneficiaries

BACKGROUND

Although recent research suggests that primary care provided by nurse practitioners costs less than primary care provided by physicians, little is known about underlying drivers of these cost differences.

RESEARCH OBJECTIVE

Identify the drivers of cost differences between Medicare beneficiaries attributed to primary care nurse practitioners (PCNPs) and primary care physicians (PCMDs).

STUDY DESIGN

Cross-sectional cost decomposition analysis using 2009-2010 Medicare administrative claims for beneficiaries attributed to PCNPs and PCMDs with risk stratification to control for beneficiary severity. Cost differences between PCNPs and PCMDs were decomposed into payment, service volume, and service mix within low-risk, moderate-risk and high-risk strata.

RESULTS

Overall, the average PCMD cost of care is 34% higher than PCNP care in the low-risk stratum, and 28% and 21% higher in the medium-risk and high-risk stratum. In the low-risk stratum, the difference is comprised of 24% service volume, 6% payment, and 4% service mix. In the high-risk stratum, the difference is composed of 7% service volume, 9% payment, and 4% service mix. The cost difference between PCNP and PCMD attributed beneficiaries is persistent and significant, but narrows as risk increases. Across the strata, PCNPs use fewer and less expensive services than PCMDs. In the low-risk stratum, PCNPs use markedly fewer services than PCMDs.

CONCLUSIONS

There are differences in the costs of primary care of Medicare beneficiaries provided by nurse practitioners and MDs. Especially in low-risk populations, the lower cost of PCNP provided care is primarily driven by lower service volume.

Physical Exercise, Social Interaction, Access to Care, and Community Service: Mediators in the Relationship Between Socioeconomic Status and Health Among Older Patients With Diabetes

The differences in socioeconomic status (SES) will cause a disparity in the health of the elderly. Taking diabetes as an example, previous studies have focused on risk factors of diabetes, while the relationship and mechanism between SES, multi-faceted factors, and the health of older patients with diabetes are not well-understood. This study aims to investigate the association between SES and health in older patients with diabetes and the interrelated mediators between them. Based on the data of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2018, structural equation modeling (SEM) was used to test whether physical exercise, social interaction, access to care, and community service mediated the effect of SES on the health in older patients with diabetes. We found support for the model in which SES predicted the health in older patients with diabetes (comparative fit index = 0.910, incremental fit index = 0.911, goodness-of-fit index = 0.982, adjusted goodness-of-fit index = 0.959, standardized root mean square residual = 0.037, and root mean square error of approximation = 0.061). The total indirect effect of SES on the health accounted for 55.52% of the total effect. Results indicated that physical exercise (β = 0.108, p < 0.01), social interaction (β = 0.253, p < 0.001), and community service (β = 0.111, p < 0.001) had significant positive effects on the health of older patients with diabetes. SES was positively associated with physical exercise (β = 0.417, p < 0.001) and community service (β = 0.126, p < 0.01). Although no direct effect of SES on the health was found, SES mediated the positive effect in their relationship by physical exercise (indirect effect = 0.045, p < 0.01), and community service (indirect effect = 0.014, p < 0.05). This study showed the health disparities of older patients with diabetes were influenced by individual-level (physical exercise, social interaction) and environmental-level (community service). It suggests that a lack of physical exercise and health-related community service may impair the health of older patients with diabetes with low SES, which recommends individuals' positive actions and environmental supports for promoting health of regarding population.