UNASSIGNED: In sub-Saharan Africa, achieving universal health coverage (UHC) and protecting populations from health-related financial hardship remain challenging goals. Subsequently, community-based health insurance (CBHI) has gained interest in low and middle-income countries, such as Ethiopia. However, the rural-urban disparity in CBHI enrollment has not been properly investigated using multivariate decomposition analysis. Therefore, this study aimed to assess the rural-urban disparity of CBHI enrollment in Ethiopia using the Ethiopian Mini Demographic Health Survey 2019 (EMDHS 2019).
UNASSIGNED: This study used the latest EMDHS 2019 dataset. STATA version 17.0 software was used for analyses. The chi-square test was used to assess the association between CBHI enrollment and the explanatory variables. The rural-urban disparity of CBHI enrollment was assessed using the logit-based multivariate decomposition analysis. A p-value of <0.05 with a 95% confidence interval was used to determine the statistical significance.
UNASSIGNED: The study found that there was a significant disparity in CBHI enrollment between urban and rural households (p < 0.001). Approximately 36.98% of CBHI enrollment disparities were attributed to the compositional (endowment) differences of household characteristics between urban and rural households, and 63.02% of the disparities were due to the effect of these characteristics (coefficients). The study identified that the age and education of the household head, family size, number of under-five children, administrative regions, and wealth status were significant contributing factors for the disparities due to compositional differences between urban and rural households. The region was the significant factor that contributed to the rural-urban disparity of CBHI enrollment due to the effect of household characteristics.
UNASSIGNED: There were significant urban-rural disparities in CBHI enrollment in Ethiopia. Factors such as age and education of the household head, family size, number of under-five children, region of the household, and wealth status of the household contributed to the disparities attributed to the endowment, and region of the household was the contributing factor for the disparities due to the effect of household characteristics. Therefore, the concerned body should design strategies to enhance equitable CBHI enrollment in urban and rural households.

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The food environment in school neighborhoods plays a crucial role in manipulating the food choices of schoolchildren. This study investigated the relationship between the food environment in neighborhoods and the dietary practices of government school students in a low socioeconomic setting in Sri Lanka. This cross-sectional study surveyed the neighborhood food environment of selected schools (n = 30) in the Monaragala District, Sri Lanka, using geographical information system (GIS) data and collected dietary information from a representative sample of schoolchildren (n = 603). Chi-square and Spearman correlation tests were performed using SPSS version 23.0 to estimate the associations between the food environment and BMI, while ArcGIS 10.4.1 was used to analyze the GIS data. The majority of the students (35.5%) were 15 years old, and approximately 51% were females. The mean BMI of the study participants was 18.14 (±3.28). More than 90% of outlets within proximity sold unhealthy foods. Consumption of confectionaries was 72.3% of the students, whereas healthy food choices ranged from 5% to 12%. A positive correlation between consuming unhealthy food and distance to outlets from school was observed (p<0.05). The risk of consuming low-nutrition food doubled (OR = 2.47, 95% CI: 1.52-3.89) among the students studying in schools where a larger proportion of energy-dense food was sold in closer proximity. In conclusion, the density and proximity of outlets that sell food with low nutrients in the school neighborhood environment were positively associated with students\' unhealthy food item choices.

Populations undergoing extensive and rapid socio-economic transitions including historically disadvantaged communities face an increased risk of type-2 diabetes (T2D). In recent years, sedentary behavior and physical inactivity have been considered modifiable determinants when developing primary prevention programs to reduce T2D incidence. Reunion Island is a French overseas department with an increasing T2D population and a high level of socio-economic inequality. The objectives of our study were to identify the individual, social, and environmental factors associated with sedentary behavior and physical inactivity among the Reunion Island adult population, and to highlight these findings in order to propose T2D primary prevention strategies aiming at alleviating local social inequalities in health (SIH). In 2021, we conducted a population-based cross-sectional telephone survey using random sampling. Participants included adults over 15 years old living in ordinary accommodation on Reunion Island (n = 2,010). Using a sequential approach, multinomial logistic regression model (explaining 3 profiles of interest: sedentary/inactive, sedentary/active, non-sedentary/inactive), and sampling-design weighted estimates, we found that 53.9% [95% confidence interval: 51.1 to 56.7%] of participants had sedentary behavior and 20.1% [95% CI: 17.8 to 22.5%] were inactive. Abandoning physical activity due to the COVID-19 pandemic (p<0.001), final secondary school diploma or above (p = 0.005), student as professional status (p≤0.005) and living in fewer poor neighborhoods located far from city centers (p = 0.030) were four conditions independently associated with sedentary/inactive and/or sedentary/active profiles. Based on these findings, to help reduce SIH, we used a typology of actions based on the underlying theoretical interventions including four main action categories: strengthening individuals (using person-based strategies), strengthening communities, improving living and working conditions, and promoting health-based macro-policies. Our findings suggest several directions for reducing lifestyle risk factors and enhancing T2D primary prevention programs targeting psychosocial, behavioral, and structural exposures.

BACKGROUND: Most older adults wish to remain in their homes and communities as they age. Despite this widespread preference, disparities in health outcomes and access to healthcare and social support may create inequities in the ability to age in place. Our objectives were to synthesise evidence of social inequity in ageing in place among older adults using an intersectional lens and to evaluate the methods used to define and measure inequities.
METHODS: We conducted a mixed studies systematic review. We searched MEDLINE, EMBASE, PsycINFO, CINAHL and AgeLine for quantitative or qualitative literature that examined social inequities in ageing in place among adults aged 65 and older in Organisation for Economic Co-operation and Development (OECD) member countries. Results of included studies were synthesised using qualitative content analysis guided by the PROGRESS-Plus framework.
RESULTS: Of 4874 identified records, 55 studies were included. Rural residents, racial/ethnic minorities, immigrants and those with higher socioeconomic position and greater social resources are more likely to age in place. Women and those with higher educational attainment appear less likely to age in place. The influence of socioeconomic position, education and social resources differs by gender and race/ethnicity, indicating intersectional effects across social dimensions.
CONCLUSIONS: Social dimensions influence the ability to age in place in OECD settings, likely due to health inequalities across the lifespan, disparities in access to healthcare and support services, and different preferences regarding ageing in place. Our results can inform the development of policies and programmes to equitably support ageing in place in diverse populations.

Childhood overweight/obesity is a serious problem that has not been adequately addressed. As a key factor affecting weight gain, the association between dietary intake with childhood overweight and obesity is still unclear. The objective of this study was to analyze the association between sociodemographic, lifestyle factors and dietary intake with overweight or obesity. We used data from a large cross-sectional National Health and Nutrition Examination Survey (NHANES). The U.S. children aged 6-15 years with both weight data and dietary data were included. For univariate analysis of sociodemographic data, t tests was performed for continuous variables and chi-square tests was performed for discrete variables. Dietary intakes were described by median and quartile, and differences in dietary intake between children with normal weight and children with overweight or obesity were compared by rank sum tests. A modern statistical shrinkage technique, LASSO regression was used to examine the association between dietary intake and childhood obesity. Our study confirms that Hispanic ethnicity, increasing age, passive exposure to smoking, higher protein intake, and higher caffeine intake were positively associated with child overweight or obesity. Additionally, non-Hispanic White race, higher physical activity levels, higher household income, and higher vitamin A intake were negatively associated with child overweight or obesity.

BACKGROUND: Catastrophic health expenditures condensed the vital concern of households struggling with notable financial burdens emanating from elevated out-of-pocket healthcare expenditures. In this regard, this study investigated the nature and magnitude of inpatient healthcare expenditure in India. It also explored the incidence and determinants of inpatient catastrophic health expenditure.
METHODS: The study used the micro-level data collected in the 75th Round of the National Sample Survey on 93 925 households in India. Descriptive statistics were used to examine the nature, magnitude and incidence of inpatient healthcare expenditure. The heteroscedastic probit model was applied to explore the determinants of inpatient catastrophic healthcare expenditure.
RESULTS: The major part of inpatient healthcare expenditure was composed of bed charges and expenditure on medicines. Moreover, results suggested that Indian households spent 11% of their monthly consumption expenditure on inpatient healthcare and 28% of households were grappling with the complexity of financial burden due to elevated inpatient healthcare. Further, the study explored that bigger households and households having no latrine facilities and no proper waste disposal plans were more vulnerable to facing financial burdens in inpatient healthcare activity. Finally, the result of this study also ensure that households having toilets and safe drinking water facilities reduce the chance of facing catastrophic inpatient health expenditures.
CONCLUSIONS: A significant portion of monthly consumption expenditure was spent on inpatient healthcare of households in India. It was also conveyed that inpatient healthcare expenditure was a severe burden for almost one fourth of households in India. Finally, it also clarified the influence of socio-economic conditions and sanitation status of households as having a strong bearing on their inpatient healthcare.

BACKGROUND: Recovery from acute COVID-19 may be slow and incomplete: cases of Post-Acute Sequelae of COVID (PASC) are counted in millions, worldwide. We aimed to explore if and how the pre-existing Socio-economic-status (SES) influences such recovery.
METHODS: We analyzed a database of 1536 consecutive patients from the first wave of COVID-19 in Italy (February-September 2020), previously admitted to our referral hospital, and followed-up in a dedicated multidisciplinary intervention. We excluded those seen earlier than 12 weeks (the conventional limit for a possible PASC syndrome), and those reporting a serious complication from the acute phase (possibly accounting for symptoms persistence). We studied whether the exposition to disadvantaged SES (estimated through the Italian Institute of Statistics\'s model - ISTAT 2017) was affecting recovery outcomes, that is: symptoms (composite endpoint, i.e. at least one among: dyspnea, fatigue, myalgia, chest pain or palpitations); Health-Related-Quality-of-Life (HRQoL, as by SF-36 scale); post-traumatic-stress-disorder (as by IES-R scale); and lung structural damage (as by impaired CO diffusion, DLCO).
RESULTS: Eight-hundred and twenty-five patients were included in the analysis (median age 59 years; IQR: 50-69 years, 60.2% men), of which 499 (60.5%) were previously admitted to hospital and 27 (3.3%) to Intensive-Care Unit (ICU). Those still complaining of symptoms at follow-up were 337 (40.9%; 95%CI 37.5-42.2%), and 256 had a possible Post-Traumatic Stress Disorder (PTSD) (31%, 95%CI 28.7-35.1%). DLCO was reduced in 147 (19.6%, 95%CI 17.0-22.7%). In a multivariable model, disadvantaged SES was associated with a lower HRQoL, especially for items exploring physical health (Limitations in physical activities: OR = 0.65; 95%CI = 0.47 to 0.89; p = 0.008; AUC = 0.74) and Bodily pain (OR = 0.57; 95%CI = 0.40 to 0.82; p = 0.002; AUC = 0.74). We did not observe any association between SES and the other outcomes.
CONCLUSIONS: Recovery after COVID-19 appears to be independently affected by a pre-existent socio-economic disadvantage, and clinical assessment should incorporate SES and HRQoL measurements, along with symptoms. The socioeconomic determinants of SARS-CoV-2 disease are not exclusive of the acute infection: this finding deserves further research and specific interventions.

OBJECTIVE: To examine the association between patterns of alcohol consumption in the past and the risk of depression among medical aid beneficiaries and National Health Insurance beneficiaries in Korea.
METHODS: We used data from the National Health Information Database (NHID) of 1,292,618 participants who underwent health checkups in 2015-16 and 2017-18. We categorized alcohol consumption into four groups: continuous high, increased, decreased, and non-consumers. We followed the participants from 2019 to 2021 and identified new episodes of depression. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for depression by alcohol consumption groups and socioeconomic status.
RESULTS: Medical aid beneficiaries had higher risks of depression than National Health Insurance beneficiaries across all alcohol consumption groups. The highest risk was observed among continuous high consumers (aOR, 2.31; 95% CI, 1.36-3.93), followed by increased (aOR, 1.51; 95% CI, 1.17-1.94), decreased (aOR, 1.48; 95% CI, 1.18-1.84), and non-consumers (aOR, 1.37; 95% CI, 1.22-1.54).
CONCLUSIONS: Socioeconomic status and patterns of alcohol consumption in the past are associated with the risk of depression. Public health interventions should consider both factors to reduce alcohol-related depression and health inequalities.

Maternal health is a global public health concern. The paucity of antenatal care (ANC) during pregnancy is directly associated with maternal mortality. This study assessed the individual and community-level determinants of quality  ANC in six South-Asian countries. Data were obtained from a Demographic health survey of six South-Asian countries. This study included a sample of 180,567 (weighted) women aged 15-49 who had given birth in the preceding three years prior to the survey. The quality of ANC was determined by assessing whether a woman had received blood pressure monitoring, urine and blood sample screening, and iron supplements at any ANC visits. Frequency, percentage distribution, and inferential analysis (multilevel mixed-effects model) were conducted. The proportion of quality antenatal care utilization in South Asia was 66.9%. The multilevel analysis showed that women aged 35-49 years (AOR = 1.16; 95% CI = 1.09-1.24), higher education (AOR = 2.84; 95% CI = 2.69-2.99), middle wealth status (AOR = 1.55; 95% CI = 1.49-1.62), richest wealth status (AOR = 3.21; 95% CI = 3.04-3.39), unwanted pregnancy (AOR = 0.92; 95% CI = 0.89-0.95) and 2-4 birth order (AOR = 0.86; 95% CI = 0.83-0.89) were among the individual-level factors that were significantly associated with quality ANC utilization. In addition, rural residence (AOR = 0.77; 95% CI = 0.74-0.8), and big problem - distance to health facility (AOR = 0.63; 95% CI: 0.53-0.76) were the among community level factors there were also significantly associated with use of quality ANC. Meanwhile, women who lived in India (AOR: 22.57; 95% CI: 20.32-25.08) and Maldives (AOR: 33.33; 95% CI: 31.06-35.76) had higher odds of quality ANC than those lived in Afghanistan. Educational status, wealth status, pregnancy wantedness, sex of household head, birth order, place of residence, and distance to health facility were associated with quality ANC. Improving educational status, improving wealth status, reducing the distance to health facilities, and providing rural area-friendly interventions are important to increase the quality of ANC in South Asia.