OBJECTIVE: To analyze the fertility rate trends in the GCC countries and their association with socioeconomic factors so that policymakers may use the study findings for future healthcare plans.
METHODS: Total population, crude death rate, life expectancy, literacy rate, human development index (HDI), female employment, unemployment rate, urbanisation, gross domestic product (GDP) per capita and inflation were chosen as possible predictors of TFR trends. The data were collected for the Global Burden of Disease 2021 study and other official databases such as the World Bank, the United Nations Development Program and Our World in Data for the 6 Gulf Cooperation Council (GCC) countries. Mean with standard deviation and percentage change was calculated to assess trends of TFR and all other variables from 1980-2021.
RESULTS: The fertility rate declined in all 6 countries in 2021 compared to 1980. The highest decline was found in the United Arab Emirates (75.5%), while the lowest was in Kuwait (60.9%). From 1980-2021, total population, life expectancy, HDI, literacy rate, GDP, urbanisation, and female labor force increased in all GCC countries. The total population, life expectancy, urbanisation, female labor force, GDP and HDI were negatively and significantly correlated with TFR (p<0.01). The literacy rate showed a negative and significant correlation with TFR in Bahrain, Kuwait, Saudi Arabia, and Qatar.
CONCLUSIONS: The TFR is declining in GCC countries. The plausible causes include the inclination towards postponement of marriages and excessive costs of living. These trends and associations need to be evaluated by policymakers so that they identify priority areas for interventions, allocate resources and formulate developmental plans accordingly to ensure strategic progress of the region.

BACKGROUND: This study aimed to analyze the relationship between socioeconomic status (SES), poverty rate, and the prevalence of overweight/obesity or obesity in children and adolescents aged 2-14.
METHODS: Parents or guardians reported the weight and height of participants, used to calculate body mass index (BMI) and BMI z-scores according to the International Obesity Task Force standards. Participants were categorized into \"overweight/obesity\" and \"no overweight/obesity\" and further into \"obesity\" and \"no obesity\". The rate of poverty rate was determined using data from the National Statistics Institute of Spain, defining it as the percentage of people with income below 60% of the national median. SES was based on the head of household\'s occupation and categorized into low, medium, and high levels.
RESULTS: Adjusted multilevel models showed participants with medium or high SES had lower odds of overweight/obesity compared to those with low SES (medium SES: odds ratio [OR]: 0.63, 95% confidence interval [CI]: 0.54-0.73; high SES: OR: 0.59, 95% CI: 0.49-0.70). Participants in the high-poverty group had higher odds of having overweight/obesity (OR: 1.40, 95% CI: 1.13-1.74) compared to the low-poverty group.
CONCLUSIONS: The study highlights significant socioeconomic disparities in childhood overweight/obesity, emphasizing the potential impact of SES and poverty on health outcomes in Spanish children and adolescents.

In order to study the relationship between China\'s safety production indicators and economic and social indicators, the development trend of indicator data in the past 20 years was statistically analyzed, and qualitative and quantitative research was conducted using grey relational analysis and multiple linear regression analysis methods. In the past two decades, there has been a significant improvement in the number of deaths, work-related injuries, and occupational patients in China\'s safety production, and the country\'s three categories of 14 economic and social indicators have achieved rapid development. Using the grey relation analysis method, the grey correlation degree between the number of deaths, work-related injuries, and occupational patients in China over the past twenty years and 14 economic and social indicators was obtained. The ranking of economic and social indicators that affect the number of deaths, work-related injuries, and occupational patients varies greatly. A multiple linear regression model was established for the number of deaths, work-related injuries, occupational diseases, and 14 economic and social indicators. The rationality of the model was verified from four aspects: R2, F-value, P-value, and deviation between actual and fitted values. Provide guidance for the development of safety production indicators and economic and social indicators in China through research.

Tracers of health system equity, neglected tropical diseases (NTDs) disproportionately affect marginalized populations. NTDs that manifest on the skin - \"skin NTDs\" - are associated with scarring, disfigurement, physical disability, social exclusion, psychological distress, and economic hardship. To support development and evaluation of appropriate intervention strategies, we aimed to improve understanding of the role of economic factors in shaping and constituting the burden that skin NTDs place on households. We collected data in 2021 in two predominantly rural districts: Atwima Mponua in Ghana (where Buruli ulcer, yaws, and leprosy are endemic) and Kalu in Ethiopia (where cutaneous leishmaniasis and leprosy are endemic). We conducted interviews (n = 50) and focus group discussions (n = 14) that explored economic themes with affected individuals, caregivers, and community members and analysed the data thematically using a pre-defined framework. We found remarkable commonalities across countries and diseases. We developed a conceptual framework which illustrates skin NTDs\' negative economic impact, including financial costs of care-seeking and reductions in work and schooling; categorises coping strategies by their degree of risk-pooling; and clarifies the mechanisms through which skin NTDs disproportionately affect the poorest. Despite health insurance schemes in both countries, wide-ranging, often harmful coping strategies were reported. Traditional healers were often described as more accessible, affordable and offering more flexible payment terms than formal health services, except for Ethiopia\'s well-established leprosy programme. Our findings are important in informing strategies to mitigate the skin NTD burden and identifying key drivers of household costs to measure in future evaluations. To reduce skin NTDs\' impact on households\' physical, mental, and economic wellbeing, intervention strategies should address economic constraints to prompt and effective care-seeking. While financial support and incentives for referrals and promotion of insurance enrolment may mitigate some constraints, structural interventions that decentralise care may offer more equitable and sustainable access to skin NTD care.

Despite a growing interest in the gut microbiome of non-industrialized countries, data linking deeply sequenced microbiomes from such settings to diverse host phenotypes and situational factors remain uncommon. Using metagenomic data from a community-based cohort of 1,871 people from 19 isolated villages in the Mesoamerican highlands of western Honduras, we report associations between bacterial species and human phenotypes and factors. Among them, socioeconomic factors account for 51.44% of the total associations. Meta-analysis of species-level profiles across several datasets identified several species associated with body mass index, consistent with previous findings. Furthermore, the inclusion of strain-phylogenetic information modifies the overall relationship between the gut microbiome and the phenotypes, especially for some factors like household wealth (e.g., wealthier individuals harbor different strains of Eubacterium rectale). Our analysis suggests a role that gut microbiome surveillance can play in understanding broad features of individual and public health.

Depression is a major cause of disability and, if left untreated, can increase the risk of suicide. Evidence on the determinants of depression is incomplete, making it challenging to interpret results across studies. This study aims to identify the social, economic, environmental, political, and technological factors influencing the great recession in Iran. The study was conducted in two parts. The first step involved a literature review to identify the factors, using PubMed, Scopus, and Web of Science for the search. The reference lists of all identified articles were reviewed to find relevant studies, and the extracted information was summarized and reported descriptively. The second steps involved compiling and consulting 14 experts from different fields, using a framework analysis method. Twenty-four articles were used as primary sources of information, and a total of 28 factors were found to exist. After removing duplicates and related factors, 19 of these were subsequently declared as factors, resulting in a total of 36 determinants being identified. Most of these factors belong to the social category. The health policies implemented have a significant impact on disease risk factors and ultimately their occurrence. Political decisions and policy-making processes play a crucial role in all areas, particularly in addressing disease risk factors. Severe depression can disrupt all aspects of the healthcare system, underscoring the importance of access to care. Policies concerning physical education, transportation, nutrition, employment, green spaces, recreational facilities, and tobacco are vital in this context. The influence of health policies on disease risk factors and disease occurrence is profound. Severe depression can have far-reaching effects on the healthcare system, emphasizing the critical need for access to care. The formulation of policies to combat depression must be thoroughly evaluated in terms of economic, political, social, technological, and environmental factors. The findings suggest that addressing social inequalities and emphasizing the role of political action, as highlighted by the social determinants of health, should be top priorities in addressing depression. Efforts to prevent depression should incorporate ecological approaches that consider the impact of the socioeconomic environment on depressive symptoms.

Regional population mortality correlates with regional socioeconomic development. This study aimed to identify the key socioeconomic factors influencing mortality patterns in Chinese provinces. Using data from the Seventh Population Census, we analyzed mortality patterns by gender and urban‒rural division in 31 provinces. Using a functional regression model, we assessed the influence of fourteen indicators on mortality patterns. Main findings: (1) China shows notable gender and urban‒rural mortality variations across age groups. Males generally have higher mortality than females, and rural areas experience elevated mortality rates compared to urban areas. Mortality in individuals younger than 40 years is influenced mainly by urban‒rural factors, with gender becoming more noticeable in the 40-84 age group. (2) The substantial marginal impact of socioeconomic factors on mortality patterns generally becomes evident after the age of 45, with less pronounced differences in their impact on early-life mortality patterns. (3) Various factors have age-specific impacts on mortality. Education has a negative effect on mortality in individuals aged 0-29, extending to those aged 30-59 and diminishing in older age groups. Urbanization positively influences the probability of death in individuals aged 45-54 years, while the impact of traffic accidents increases with age. Among elderly people, the effect of socioeconomic variables is smaller, highlighting the intricate and heterogeneous nature of these influences and acknowledging certain limitations.

BACKGROUND: From year to year, the proportion of people living with overweight and obesity in China rises, along with the prevalence of diseases linked to obesity. Although bariatric surgery is gaining popularity, there are still several issues with its promotion compared to Western nations. Since less developed places in China are more widespread due to disparities in the development of different regions, there has been little exploration of the factors that might be related to acceptance of bariatric surgery in these regions.
METHODS: Patients who visited the Department of Gastrointestinal Surgery at the North Sichuan Medical College Affiliated Hospital from 2018 to 2022 and had obesity or other relevant metabolic problems were surveyed using a questionnaire. The relationship between demographic factors, socioeconomic status, and acceptance of bariatric surgery was analyzed.
RESULTS: Of 334 patients, 171 had bariatric surgery. BMI, education level, marriage history, medical insurance, family support, and a history of type 2 diabetes were all linked to having bariatric surgery, according to a univariate analysis. In a multivariate analysis, BMI (P = 0.02), education (P = 0.02), family support (P<0.001), medical insurance coverage (P<0.001), and history of type 2 diabetes (P = 0.004) were all positively associated with a willingness to have bariatric surgery. Among 163 non-bariatric patients with obesity, 15.3% were not opposed to surgery but preferred trying medication first, 54.6% leaned towards medical therapy, and 30% were hesitant. Additionally, a majority of patients (48.55%) often lacked adequate knowledge about weight reduction therapy. Age, height, gender, smoking, drinking, family history of type 2 diabetes, education, and marital status did not significantly differ (P > 0.05).
CONCLUSIONS: Many patients are concerned about the safety of surgical treatment and the possibility of regaining weight. Due to the relatively high cost of bariatric surgery, they tend to choose medical treatment. To enhance the acceptance of bariatric surgery in underdeveloped regions of China, it is crucial to focus on disseminating knowledge about bariatric surgery, offer pertinent health education to the community, and foster support from patients\' families. The government should pay more attention to obesity and provide support in the form of medical insurance.

The extent to which changes in health sector finances impact economic outcomes among health care workers, especially lower-income workers, is not well known.
To assess the association between state adoption of the Affordable Care Act\'s Medicaid expansion-which led to substantial improvements in health care organization finances-and health care workers\' annual incomes and benefits, and whether these associations varied across low- and high-wage occupations.
Difference-in-differences analysis to assess differential changes in health care workers\' economic outcomes before and after Medicaid expansion among workers in 30 states that expanded Medicaid relative to workers in 16 states that did not, by examining US individuals aged 18 through 65 years employed in the health care industry surveyed in the 2010-2019 American Community Surveys.
Time-varying state-level adoption of Medicaid expansion.
Primary outcome was annual earned income; secondary outcomes included receipt of employer-sponsored health insurance, Medicaid, and Supplemental Nutrition Assistance Program benefits.
The sample included 1 322 263 health care workers from 2010-2019. Health care workers in expansion states were similar to those in nonexpansion states in age, sex, and educational attainment, but those in expansion states were less likely to identify as non-Hispanic Black. Medicaid expansion was associated with a 2.16% increase in annual incomes (95% CI, 0.66%-3.65%; P = .005). This effect was driven by significant increases in annual incomes among the top 2 highest-earning quintiles (β coefficient, 2.91%-3.72%), which includes registered nurses, physicians, and executives. Health care workers in lower-earning quintiles did not experience any significant changes. Medicaid expansion was associated with a 3.15 percentage point increase in the likelihood that a health care worker received Medicaid benefits (95% CI, 2.46 to 3.84; P < .001), with the largest increases among the 2 lowest-earning quintiles, which includes health aides, orderlies, and sanitation workers. There were significant decreases in employer-sponsored health insurance and increases in SNAP following Medicaid expansion.
Medicaid expansion was associated with increases in compensation for health care workers, but only among the highest earners. These findings suggest that improvements in health care sector finances may increase economic inequality among health care workers, with implications for worker health and well-being.

UNASSIGNED: To our knowledge, no previous study has examined the role of index of economic freedom (IEF) in the prevalence of excess weight and obesity in adolescents. The aim of this study was to determine the association between both individual and contextual economic factors and the prevalence of overweight and obesity (i.e. excess weight) or obesity in adolescents from different countries.
UNASSIGNED: A cross-sectional study was carried out using data from the 2017/2018 wave of the Health Behaviour School-Aged Children study. Body mass index z-score was determined following the International Obesity Task Force criteria and, subsequently, excess weight and obesity were computed. The Family Affluence Scale was used to assess socioeconomic status. The index of IEF was used to estimate the benefits of economic freedom, both for individuals and for society as a whole.
UNASSIGNED: An inverse association was shown between socioeconomic status (SES) and excess weight or obesity, with adolescents with high SES and medium SES being less likely to have excess weight compared to adolescents with low SES (medium SES: odds ratio (OR) = 0.79; 95% confidence interval (CI) = 0.77-0.82, P < 0.001; high SES: OR = 0.65; 95% CI = 0.62-0.68, P < 0.001). For obesity, lower odds were also found for adolescents with medium SES (medium SES: OR = 0.74; 95% CI = 0.69-0.80, P < 0.001) or high SES (high SES: OR = 0.55; 95% CI 0.49-0.61, P < 0.001), in comparison with their counterparts with low SES. On the other hand, it was observed a greater likelihood of having excess weight and obesity in mostly unfree countries (excess weight: OR = 0.72; 95% CI = 0.51-1.00, P = 0.052; obesity: OR = 0.60; 95% CI = 0.39-0.92, P = 0.019) compared to free/mostly free countries. These results remained significant after adjusting for several sociodemographic and lifestyle covariates.
UNASSIGNED: Both individual and contextual factors seem to have a crucial role in the prevalence of excess weight and obesity in adolescents.