UNASSIGNED: The increasing prevalence of depressive symptoms has emerged as a critical public health issue globally, highlighting the need for analyses of the factors contributing to depressive symptoms within the Chinese population and the development of targeted recommendations for improving mental well-being. We aimed to explore the correlation between internet use and depressive symptoms and the role of socioeconomic inequalities in this association.
UNASSIGNED: We included data on 8019 residents aged 18 years and above, which we retrieved from the 2018 and 2020 waves of the China Family Panel Studies. We used latent profile analysis to categorise individuals\' internet usage patterns and multiple linear regression to determine their association with depressive symptoms.
UNASSIGNED: Higher socioeconomic status (SES) was associated with fewer depressive symptoms (τ = -0.08; 95% confidence interval (CI) = -0.36, -0.18). Individuals in the high-dependence group presented a greater likelihood of developing depressive symptoms (τ = 0.04; 95% CI = 0.007, 0.66). We observed no significant difference in the interaction effect between individual-level SES and the four patterns of internet usage. However, compared with urban-dwelling respondents, those in rural areas had a stronger association between internet usage patterns and depressive symptoms, especially those in the high-dependence group (τ = -0.07; 95% CI = -1.47, -0.20).
UNASSIGNED: Our findings indicate a significant association between depressive symptoms and internet usage patterns, indicating a need for interventions related to internet use, especially those targeted at reducing the risk of depressive symptoms in individuals of lower SES.

Background: Adolescent pregnancies continue to be a global issue that affects more high-income, middle-income, and then low-income countries, with the latter experiencing the majority of cases. Aim: The current study looked into the prevalence and variables predicting adolescent childbearing in Ghana. Methodology: Data from the Ghana Multiple Indicator Cluster Survey (MICS) 2017-2018 was used to conduct an analytical cross-sectional study. The results were examined with SPSS Version 20 (IBM Corp., 2011, and NY). Pearson\'s chi-square and binary logistics analyses were done for associations. A p value of 0.05 was used to determine the analysis\'s statistical significance. Results: The total number of adolescents isolated from the 2017 Ghana MICS dataset for this study analysis was 2974. The mean age of the study participants was 16.9 ± 1.4 years with a modal age of 15 years. The prevalence of adolescent childbearing according to this study analysis was 12.3%. The predictive factors for adolescent childbearing were increasing age, decreasing educational level, Volta regional originality, ethnic originality of the study participants, and low economic status. Conclusion: The prevalence of adolescent childbearing in this study was significant and needs the attention of all. Programs to improve adolescent reproductive health must take into account multiple levels of elements, such as the individual, family, community, institutions, national, and international challenges that have an impact on such programs.

UNASSIGNED: Women\'s health and well-being (WHW) have been receiving growing attention, but limited progress has been made on how to measure its different domains in low- and middle-income countries (LMICs). We used data from five long-term birth cohorts in Brazil, Guatemala, the Philippines and South Africa to explore different domains of adult WHW, and how these domains relate to early life exposures.
UNASSIGNED: Based upon an a priori conceptualisation of eight postulated WHW outcomes available in the data, we grouped them as follows: human capital (intelligence quotient, schooling, height, and teenage childbearing), metabolic health (body mass index and metabolic syndrome score), and psychological (happiness and Self-Reported Questionnaire (SRQ) scores). Correlation analyses confirmed the variables theoretically belonging to the same dimension of WHW were statistically related. We then applied principal component analysis to each group of variables separately and used the first principal component as a summary quantitative measure of the corresponding WHW dimension. Finally, we assessed the association of each domain with a range of early-life factors: wealth, maternal education, maternal height, water, and sanitation, birthweight, length at two years and development quotient in mid-childhood.
UNASSIGNED: The three domains were largely uncorrelated. Early determinants were positively associated with human capital, while birth order was negatively associated. Fewer associations were found for the metabolic or psychological components. Birthweight and weight at age two years were inversely associated with metabolic health. Maternal education was associated with better psychological health.
UNASSIGNED: Our findings indicate that WHW is multidimensional, with most women in the cohorts being compromised in one or more domains while few women scored highly in all three domains. Our analyses are limited by lack of data on adolescent exposures and on other relevant WHW dimensions such as safety, agency, empowerment, and violence. Further research is needed in LMICs for identifying and measuring the multiple domains of WHW.

BACKGROUND: Universal Health Coverage (UHC) is a common health policy objective outlined in the Sustainable Development Goals. With provincial governments taking the initiative, Pakistan has implemented and extended UHC program amid a complex public health landscape. In this context, we assess Pakistan\'s progress toward achieving UHC at the national and subnational level.
METHODS: We use data from the Demographic and Health Surveys and the Household Integrated Economic Survey to construct a UHC index at the national and subnational level for 2007, 2013, and 2018. Furthermore, we use Concentration Index (CI) and CI decomposition methodologies to assess the primary drivers of inequality in accessing medical services. Logistic regression and Sartori\'s two-step model are applied to examine the key determinants of catastrophic health expenditure (CHE).
RESULTS: Our analysis underscores Pakistan\'s steady progress toward UHC, while revealing significant provincial disparities in UHC progress. Provinces with lower poverty rate achieve higher UHC index, which highlights the synergy of poverty alleviation and UHC expansion. Among the examined indicators, child immunization remains a key weakness that one third of the children are not fully vaccinated and one sixth of these not-fully-vaccinated children have never received any vaccination. Socioeconomic status emerges as a main contributor to disparities in accessing medical services, albeit with a declining trend over time. Household socioeconomic status is negatively correlated with CHE incidence, indicating that wealthier households are less susceptible to CHE. For individuals experiencing CHE, medicine expenditure takes the highest share of their health spending, registering a staggering 70% in 2018.
CONCLUSIONS: Pakistan\'s progress toward UHC aligns closely with its economic development trajectory and policy efforts in expanding UHC program. However, economic underdevelopment and provincial disparities persist as significant hurdles on Pakistan\'s journey toward UHC. We suggest continued efforts in UHC program expansion with a focus on policy consistency and fiscal support, combined with targeted interventions to alleviate poverty in the underdeveloped provinces.

OBJECTIVE: Psychosocial adversity and stress, known to predispose adults to neurodegenerative and inflammatory immune disorders, are widespread among children who experience socioeconomic disadvantage, and the associated neurotoxicity and proinflammatory profile may predispose these children to multiple sclerosis (MS). We sought to determine associations of socioeconomic disadvantage and psychosocial adversity with odds of pediatric-onset MS (POMS), age at POMS onset, and POMS disease activity.
METHODS: This case-control study used data collected across 17 sites in the United States by the Environmental and Genetic Risk Factors for Pediatric Multiple Sclerosis Study. Cases (n = 381) were youth aged 3-21 years diagnosed with POMS or a clinically isolated demyelinating syndrome indicating high risk of MS. Frequency-matched controls (n = 611) aged 3-21 years were recruited from the same institutions. Prenatal and postnatal adversity and postnatal socioeconomic factors were assessed using retrospective questionnaires and zip code data. The primary outcome was MS diagnosis. Secondary outcomes were age at onset, relapse rate, and Expanded Disability Status Scale (EDSS). Predictors were maternal education, maternal prenatal stress events, child separation from caregivers during infancy and childhood, parental death during childhood, and childhood neighborhood disadvantage.
RESULTS: MS cases (64% female, mean age 15.4 years, SD 2.8) were demographically similar to controls (60% female, mean age 14.9 years, SD 3.9). Cases were less likely to have a mother with a bachelor\'s degree or higher (OR 0.42, 95% CI 0.22-0.80, p = 0.009) and were more likely to experience childhood neighborhood disadvantage (OR 1.04 for each additional point on the neighborhood socioeconomic disadvantage score, 95% CI 1.00-1.07; p = 0.025). There were no associations of the socioeconomic variables with age at onset, relapse rate, or EDSS, or of prenatal or postnatal adverse events with risk of POMS, age at onset, relapse rate, or EDSS.
CONCLUSIONS: Low socioeconomic status at the neighborhood level may increase the risk of POMS while high parental education may be protective against POMS. Although we did not find associations of other evaluated prenatal or postnatal adversities with POMS, future research should explore such associations further by assessing a broader range of stressful childhood experiences.

OBJECTIVE: To examine characteristics of Medicare Advantage (MA) enrollees who use their plan\'s customer service to help plans understand how to better meet members\' needs.
METHODS: National sample of 259,533 respondents to MA Consumer Assessment of Healthcare Providers and Systems survey enrolled in any of the 559 MA contracts in 2022.
METHODS: We assessed the association between self-reported customer service use in the prior 6 months and enrollee demographic, coverage, health, and health care utilization characteristics. We used weighted linear regression models to test for bivariate and multivariate associations between customer service use and enrollee characteristics.
RESULTS: Forty-two percent of MA enrollees reported using customer service in the prior 6 months. Use was 20 percentage points (PP) higher for those in poor vs excellent/very good general health, 13 PP higher for those in poor vs excellent/very good mental health, and 14 PP higher for those reporting 3 or more vs no chronic conditions. Those using customer service more often had lower educational attainment, had limited income and assets, preferred another language to English, and had greater health care utilization.
CONCLUSIONS: MA customer service supports a less healthy, higher-need population with greater-than-average barriers to health care, and so should be designed and staffed to effectively serve medically complex, high-need patients. Commercial plan evidence suggests that continuity in customer service support for a member or a given issue may be helpful. Customer service is an important mechanism for improving quality and addressing health equity.

OBJECTIVE: To discuss the social, psychological, and access barriers that inhibit weight loss, and to propose steps and initiatives for addressing the growing obesity epidemic.
METHODS: Narrative review of the obesity epidemic in the US and associated racial/ethnic and socioeconomic disparities.
METHODS: An internet search of relevant studies and government reports was conducted.
RESULTS: Obesity is a significant health crisis affecting more than 123 million adults and children/adolescents in the US. An estimated 1 in 5 deaths in Black and White individuals aged 40 to 85 years in the US is attributable to obesity. Obesity puts individuals at elevated risk for type 2 diabetes, cardiovascular disease, chronic kidney disease, gastrointestinal disorders, nonalcoholic fatty liver disease, cancer, respiratory ailments, dementia/Alzheimer disease, and other disorders. In the US, significantly more Black (49.9%) and Hispanic (45.6%) individuals are affected by obesity than White (41.4%) and Asian (16.1%) individuals. Health care costs for obesity account for more than $260 billion of annual US health care spending-more than 50% greater in excess annual medical costs per person than individuals with normal weight.
CONCLUSIONS: Addressing the obesity epidemic will require a multifaceted approach that focuses on prevention, treatment, and reducing the impact of stigma. Continued advocacy and education efforts are necessary to make progress and improve the health and well-being of individuals affected by obesity.

OBJECTIVE: Racial and socioeconomic disparities in spine surgery for degenerative lumbar spondylolisthesis persist in the United States, potentially contributing to unequal health-related quality of life (HRQoL) outcomes. This is important as lumbar spondylolisthesis is one of the most common causes of surgical low back pain, and low back pain is the largest disabler of individuals worldwide. Our objective was to assess the relationship between race, socioeconomic factors, treatment utilization, and outcomes in patients with lumbar spondylolisthesis.
METHODS: This cohort study analyzed prospectively collected data from 9941 patients diagnosed with lumbar spondylolisthesis between 2015 and 2020 at 5 academic hospitals. Exposures were race, socioeconomic status, health coverage, and HRQoL measures. Main outcomes and measures included treatment utilization rates between racial groups and the association between race and treatment outcomes using logistic regression, adjusting for patient characteristics, socioeconomic status, health coverage, and HRQoL measures.
RESULTS: Of the 9941 patients included (mean [SD] age, 67.37 [12.40] years; 63% female; 1101 [11.1%] Black, Indigenous, and People of Color [BIPOC]), BIPOC patients were significantly less likely to use surgery than White patients (odds ratio [OR] = 0.68; 95% CI, 0.62-0.75). Furthermore, BIPOC race was associated with significantly lower odds of reaching the minimum clinically important difference for physical function (OR = 0.74; 95% CI, 0.60; 0.91) and pain interference (OR = 0.77; 95% CI, 0.62-0.97). Medicaid beneficiaries were significantly less likely (OR = 0.65; 95% CI, 0.46-0.92) to reach a clinically important improvement in HRQoL when accounting for race.
CONCLUSIONS: This study found that BIPOC patients were less likely to use spine surgery for degenerative lumbar spondylolisthesis despite reporting higher pain interference, suggesting an association between race and surgical utilization. These disparities may contribute to unequal HRQoL outcomes for patients with lumbar spondylolisthesis and warrant further investigation to address and reduce treatment disparities.

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.

UNASSIGNED: This study aimed to explore the relationship between multidimensional factors, such as environment, health status, behavior, social support, and the well-being of middle-aged and older adults.
UNASSIGNED: This study utilized data from 2 waves of the nationally representative Taiwan Longitudinal Study on Aging Survey Report (TLSA) conducted in 2015 and 2019. The TLSA assesses socioeconomic status, physical and health status, the 5-item World Health Organization Well-Being Index (WHO-5 index), and social support. Data regarding the degree of digital development were obtained from the 2020 Township Digital Development Report. We applied a generalized estimating equation (GEE) to analyze the influencing factors.
UNASSIGNED: This study included 4796 participants. Residing in areas with a higher degree of digital development, having a higher socioeconomic status, and experiencing better physical and mental health were significantly associated with well-being. Furthermore, emotional and attentive support mediated the association between physical and mental status and well-being.
UNASSIGNED: People\'s awareness of searching for and receiving social support and medical resources is important for enhancing their well-being. It is also crucial to pay attention to the living environment and maintain one\'s health status to promote well-being.