Factors influencing smartphone overdependence among adolescents.

Adolescents are particularly vulnerable to smartphone overdependence. Therefore, we identified the factors influencing smartphone overdependence and risk subgroups among adolescents. The current study is a secondary analysis of nationally representative data from the 2020 Korea Youth Risk Behavior Survey. The survey targeted middle- and high-school students in South Korea aged 12-18 using stratified, clustered, multistage probability sampling, and 53,457 students from 793 schools participated in this study. Complex sample data were analyzed considering the strata, clusters, and weights. Multiple logistic regression analysis revealed age, gender, household economic status, anxiety, loneliness, depressive symptoms, and experience of violent treatment as significant predictors of smartphone overdependence. Adolescents with severe anxiety were at a 3.326 times higher risk of smartphone overdependence than adolescents with minimal anxiety. Decision tree analysis showed that anxiety, gender, loneliness, and depressive symptoms were important in differentiating risk subgroups, with anxiety being the most significant factor. Group 13, comprising girls with severe anxiety, had the highest risk at 52.9%. Thus, early detection and prevention of issues such as anxiety, loneliness, and depressive symptoms, as well as treatment for violence, can prevent smartphone overdependence among adolescents. Additionally, more thorough interventions for anxiety are warranted to prevent smartphone overdependence.

Contextual inequalities in specialized dental public health care in Brazil.

The present study aimed to investigate the contextual inequalities of specialized public dental care (SPDC) in Brazil. The outcome was the trajectory of dental specialized production in municipalities with SPDC (from 2015 to 2017) obtained by group-based trajectory modeling. A Poisson regression model was used to analyze the factors associated with the high trajectory of SPDC production. The inequality indicators for SPDC production were the slope index and the concentration index according to contextual factors. The study included 954 SPDC units distributed across 893 municipalities. Among the municipalities evaluated, 62.9% had a low trajectory of SPDC. Large-sized municipalities had the highest production (IRR = 2.84, 95%CI: 1.94-4.14) and the southern region had the lowest production (IRR = 0.73, 95%CI: 0.58-0.92). Municipalities presenting a very high human development index (HDI) showed the greatest SPDC production (IRR = 3.34, 95%CI: 1.09-10.24), as well as municipalities with the highest tertile of schooling rate (IRR = 1.23, 95%CI: 1.00-1.50). The absolute inequality was 52.1 percentage points for the average monthly wage (p < 0.001), 61.0 percentage points for the HDI (p < 0.001), -22.1 for infant mortality rate (p <0.001), and 14.8 for the schooling rate (p = 0.012). Thus, there are contextual inequalities in the Brazilian SPDC. Higher scores for social indicators were associated with better SPDC performance.

Decomposition analysis on the equity of health examination utilization for the middle-aged and elderly people in China: based on longitudinal CHARLS data from 2011 to 2018.

BACKGROUND: This study aimed to investigate the utilization rate and equity of health examination service among the middle-aged and elderly population in China from 2011 to 2018. The contribution of various determinants to the inequity in health examination service utilization was also examined. METHODS: Data from the China Health and Retirement Longitudinal Survey (CHARLS) were analyzed to assess the health examination service utilization rate among the middle-aged and elderly population. A concentration curve and concentration index were employed to measure the equity of health examination service utilization and decomposed into its determining factors. Horizontal inequity index was applied to evaluate the trends in equity of health examination service. RESULTS: The health examination service utilization rates among the middle-aged and elderly population were 29.45%, 20.69%, 25.40%, and 32.05% in 2011, 2013, 2015, and 2018, respectively. The concentration indexes for health examination service utilization were 0.0080 (95% CI: - 0.0084, 0.0244), 0.0155 (95% CI: - 0.0054, 0.0363), 0.0095 (95% CI: - 0.0088, 0.0277), and - 0.0100 (95% CI: - 0.0254, 0.0054) from 2011 to 2018, respectively. The horizontal inequity index was positive from 2011 to 2018, evidencing a pro-rich inequity trend. Age, residence, education, region, and economic status were the major identified contributors influencing the equity of health examination service utilization. CONCLUSIONS: A pro-rich inequity existed in health examination service utilization among the middle-aged and elderly population in China. Reducing the wealth and regional gap, providing equal educational opportunities, and strengthening the capacity for chronic disease prevention and control are crucial for reducing the inequity in health examination service utilization.

Spatial-temporal trends in leprosy burden and its associations with socioeconomic and physical geographic factors: results from the Global Burden of Disease Study 2019.

OBJECTIVES: The purpose of our study was to assess the multiscalar changes in leprosy burden and its associated risk factors over the last three decades. STUDY DESIGN: We conducted an in-depth examination of leprosy's spatial-temporal trends at multiple geographical scale (global, regional, and national), utilizing information from Global Burden of Disease, Injuries, and Risk Factors Study (GBD 2019). METHODS: Incidence and the estimated annual percentage change (EAPC) in age-standardized incidence rate (ASIR) of leprosy were determined, with countries categorized based on leprosy incidence changes. We examined socioeconomic and physical geography influences on leprosy incidence via Spearman correlation analysis, using ternary phase diagrams to reveal the synergetic effects on leprosy occurrence. RESULTS: Globally, incident cases of leprosy decreased by 27.86% from 1990 to 2019, with a reduction in ASIR (EAPC = -2.53), yet trends were not homogeneous across regions. ASIR and EAPC correlated positively with sociodemographic index (SDI), and an ASIR growth appeared in high SDI region (EAPC = 3.07). Leprosy burden was chiefly distributed in Tropical Latin America, Oceania, Central Sub-Saharan Africa, and South Asia. Negative correlations were detected between the incidence of leprosy and factors of SDI, GDP per capita, urban population to total population, and precipitation, whereas the number of refugee population, temperature, and elevation showed opposite positive results. CONCLUSIONS: Despite a global decline in leprosy over the past three decades, the disparities of disease occurrence at regional and national scales still persisted. Socioeconomic and physical geographic factors posed an obvious influence on the transmission risk of leprosy. The persistence and regional fluctuations of leprosy incidence necessitate the ongoing dynamic and multilayered control strategies worldwide in combating this ancient disease.

Determinants of self-rated health among highly educated Ukrainian women refugees in Czechia: analysis based on cross-sectional study in 2022.

BACKGROUND: Russia's military aggression against Ukraine set in motion a large number of refugees. Considerable amount of them came and stayed in Czechia. Refugees represent special vulnerable individuals often affected by war physically and psychologically. Due to the national regulations not allowing most of Ukrainian men aged 18-60 to leave the country, nowadays Ukrainian forced migration is relatively young and strongly gendered. Evidence suggests the higher probability for searching the safe refuge abroad among Ukrainian women with small children as well as those with relatively higher economic and cultural capital. The aim of this study is to identify the structural features of systemic risks associated with war migration by examining determinants of self-rated health among forcibly displaced highly educated Ukrainian women of productive age residing in Czechia. METHODS: Data from one wave of the panel survey among Ukrainian refugees in Czechia conducted in September 2022 was used. Determinants of self-rated health including self-reported diseases and healthcare factors, lifestyle, human and social capital, economic factors, and migration characteristics were analysed using binary logistic regression. RESULTS: About 45% highly educated Ukrainian women refugees in Czechia assessed their health as poor. The poor self-rated health was mostly associated with the number of diseases and depressive symptoms, and by social capital and economic factors. Having four and more diseases (OR = 13.26; 95%-CI: 5.61-31.35), showing some severe depressive symptoms (OR = 7.20; 95%-CI: 3.95-13.13), experiencing difficulties to seek help from others (OR = 2.25; 95%-CI: 1.20-4.23), living alone in a household (OR = 2.67; 95%-CI: 1.37-5.27), having severe material deprivation (OR = 2.70; 95%-CI: 1.35-5.41) and coming originally from the eastern part of Ukraine (OR = 2.96; 95%-CI: 1.34-6.55) increased the chance of these refugees to assess their health as poor. CONCLUSION: Social and economic determinants such as lack of social contacts for seeking help and material deprivation were found to be crucial for self-rated health and should be tackled via migration policies. Further, qualitative research is needed to better understand the mechanisms behind the factors affecting subjectively assessed health.

Socioeconomic differences in digital inequality among Chinese older adults: Results from a nationally representative sample.

The current study seeks to investigate digital inequality among older adults in China, specifically examining two socially defined age groups: young-old adults (aged 60-74) and old-old adults (aged 75+). Descriptive statistics and multiple regression were used to examine the prevalence of and identify the factors associated with Internet access, usage (frequency and breadth containing 11 activities), skills, and social support. The study used data from the 2018 China Longitudinal Ageing Social Survey (CLASS) which consisted of 11,419 respondents aged 60 years and older. We found that 40.22% of older adults had access to the Internet, and 18.27% used it regularly. Socioeconomic factors played a crucial role in determining Internet access and usage, with young-old adults with higher education using the Internet more frequently, deliberately, and competently. Those with higher economic status had greater social support to use it, and the old-old adults with higher socioeconomic status were more likely to have Internet access. This study has implications for prioritizing targeted policies and interventions aimed at supporting socioeconomically disadvantaged older adults and ensuring equal opportunities for all to access and benefit from the digital world.

Social Inequities in the Survival of Liver Cancer: A Nationwide Cohort Study in Korea, 2007-2017.

BACKGROUND: To analyze the effects of socioeconomic status (type of insurance and income level) and cancer stage on the survival of patients with liver cancer in Korea. METHODS: A retrospective cohort study was constructed using data from the Healthcare Big Data Platform project in Korea between January 1, 2007, and December 31, 2017. A total of 143,511 patients in Korea diagnosed with liver cancer (International Classification of Diseases, 10th Revision [ICD-10] codes C22, C220, and C221) were followed for an average of 11 years. Of these, 110,443 died. The patient's insurance type and income level were used as indicators of socioeconomic status. Unadjusted and adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using a Cox proportional hazards regression model to analyze the relationship between the effects of sex, age, and cancer stage at first diagnosis (Surveillance, Epidemiology, and the End Results; SEER), type of insurance, and income level on the survival of patients with liver cancer. The interactive effects of the type of insurance, income level, and cancer stage on liver cancer death were also analyzed. RESULTS: The lowest income group (medical aid) showed a higher risk for mortality (HR (95% CI); 1.37 (1.27-1.47) for all patients, 1.44 (1.32-1.57) for men, and 1.16 (1.01-1.34) for women) compared to the highest income group (1-6) among liver cancer (ICD-10 code C22) patients. The risk of liver cancer death was also higher in the lowest income group with a distant cancer stage (SEER = 7) diagnosis than for any other group. CONCLUSION: Liver cancer patients with lower socioeconomic status and more severe cancer stages were at greater risk of death. Reducing social inequalities is needed to improve mortality rates among patients in lower social class groups who present with advanced cancer.

Determinants of household decision making autonomy among rural married women based on Ethiopian demography health survey: a multilevel analysis.

INTRODUCTION: Decisions made at the household level have great impact on the welfare of the individual, the local community, as well as the welfare of the nation. Women's independent decision on reproductive health increases women's access to health information and utilization of reproductive services. This has great impact on maternal and child health outcomes. However, women in developing or low-income countries often have limited autonomy and control over their household decisions. Therefore the main purpose of this research project is to investigate the potential determinants of rural women's household decision making autonomy. METHODS: A multi level analysis was performed using the fourth Ethiopian Demographic and Health Survey (EDHS) 2016 data set. A weighted sample of 8,565 married rural women was included in the final analysis. Women were considered to be autonomous if they made decisions alone or jointly with their husband in all three household decision components. It was dichotomized as yes = 1 and no = 0. Multico linearity and chi-square tests were checked and variables which did not fulfill the assumptions were excluded from the analysis. Four models were fitted. Variables with p-value ≤ 0.25 in the bi-variable multilevel logistic regression were included in the multivariable multilevel logistic regression. The Adjusted Odds Ratio (AOR) with a 95% confidence interval (95% CI) was computed. Variables with a P-value of less than 0.05 in the multi-variable multilevel logistic regression were declared as statistically significant predictors. RESULT: A total of 8,565 weighted participants involved. From the total respondents, 68.55% (CI: 67.5%, 69.5%) of women had decision making autonomy. wealth index (poor: AOR: 0.84; 95% CI: 0.72, 0.97 and middle: AOR: 0.85; 95% CI 0.73, 0.98), literacy (illiterate: AOR: 0.75; 95% CI: 0.66, 0.86), respondents working status (Not working; AOR 0.68; 95% CI; 0.60, 0.76) ,who decides on marriage (parents: AOR 0.76; 95% CI; 0.67, 0.87), and proportion of early marriage in the community (high proportion of early marriage AOR: 1.35; 95% CI; 1.10, 1.72). CONCLUSION: Women decision making autonomy was significantly determined by women economic participation (their wealth and their working status), women's literacy, proportion of early marriage in the community and women's involvement in decision of their marriage. Improving women's economic participation and enhancing women's participation to decide on their marriage will enhance women's decision making autonomy.

Sociodemographic factors underlying lifetime fertility among ever-married Swazi women.

Fertility rates remain high in certain subgroups of the population, and there is limited research about the sociodemographic factors influencing fertility, particularly in Eswatini where women are often considered minors. This study aims to investigate the changes in lifetime fertility, and the associations between sociodemographic factors and lifetime fertility among ever-married women. The study used secondary cross-sectional data from the 2010 and 2014 Eswatini Multiple Indicator Cluster Surveys (MICS), with a sample size of 2,295 and 2,351 women, respectively. The data was analysed using descriptive statistics and multivariable Poisson regression. The results showed that fertility rates decreased from 3.47 to 3.21 children between 2010 and 2014. The study found that child loss and age (25+ years) were significant factors associated with higher fertility, while delayed age at marriage and sexual debut (20+ years), at least secondary education, and being rich were strong predictors of lower fertility rates. The study recommends creating awareness about and strengthening laws to abolish early sexual debut and marriage. It also suggests empowering women through education, encouraging the use of contraceptives, and providing maternal and child health services in rural areas where fertility rates tend to be higher.

Les taux de fécondité restent élevés dans certains sous-groupes de la population, et les recherches sur les facteurs sociodémographiques influençant la fécondité sont limitées, en particulier à Eswatini où les femmes sont souvent considérées comme mineures. Cette étude vise à étudier les changements dans la fécondité au cours de la vie et les associations entre les facteurs sociodémographiques et la fécondité au cours de la vie chez les femmes déjà mariées. L'étude a utilisé des données transversales secondaires des enquêtes par grappes à indicateurs multiples (MICS) d'Eswatini de 2010 et 2014, avec un échantillon de 2 295 et 2 351 femmes, respectivement. Les données ont été analysées à l'aide de statistiques descriptives et d'une régression de Poisson multivariée. Les résultats ont montré que les taux de fécondité ont diminué de 3,47 à 3,21 enfants entre 2010 et 2014. L'étude a révélé que la perte d'enfants et l'âge (25 ans et plus) étaient des facteurs importants associés à une fécondité plus élevée, tandis qu'un âge plus tardif au mariage et aux débuts sexuels (20 ans et plus) ), au moins une éducation secondaire, et le fait d'être riche étaient de puissants prédicteurs de taux de fécondité plus faibles. L'étude recommande de sensibiliser et de renforcer les lois visant à abolir les premiers rapports sexuels et le mariage précoces. Il suggère également d'autonomiser les femmes grâce à l'éducation, d'encourager l'utilisation de contraceptifs et de fournir des services de santé maternelle et infantile dans les zones rurales où les taux de fécondité ont tendance à être plus élevés.

Dynamics of caste and early childbearing in India: a perspective of three decades.

BACKGROUND: Early childbearing disrupts girls' otherwise healthy growth into adulthood and adversely affects their education, livelihood, and health. Individual, sociocultural, economic, environmental, and health service-related factors contribute to childbearing among young females. In India, caste affects health outcomes despite several affirmative policies aimed at improving the health and welfare of the backward castes/tribes. However, there is a dearth of empirical evidence about the impact of caste on early childbearing, more specifically, regarding the trajectory of inter-caste disparities in early childbearing. METHOD: This study used data from all five rounds of the National Family Health Survey (NFHS) in India to assess the association between caste and early childbearing over the last three decades. All women aged 20-24 [NFHS-1 (n = 17,218), NFHS-2 (n = 15,973), NFHS-3 (n = 22,807), NFHS-4 (n = 122,955) and NFHS-5 (n = 118,700)] were considered to create a pooled data set (n = 297,653) for analysis. Bivariate analysis and binary logistic regression were conducted using Stata (v17). ArcMap (v10.8) presented the caste-wise prevalence of early childbearing among the states and Union Territories (UTs). RESULTS: Many women continue to have early childbearing despite a considerable reduction over the last three decades from 47% in 1992-93 to 15% in 2019-21. Compared to NFHS-1, the odds of early childbearing increased by 15% in NFHS-2 and, after that, declined by 42% in NFHS-3 and 64% in NFHS-4 and NFHS-5. The inter-caste disparity in early childbearing persists, albeit with a narrowing gap, with the Scheduled castes (SC) remaining the most vulnerable group. Adjusting the effects of socio-demographic and economic characteristics, SC women had significantly higher odds of early childbearing (OR = 1.07, CI = 1.04-1.11) than those from the General caste. CONCLUSION: To decrease early childbirth, a focus on adolescent marriage prevention and increasing contraceptive use among young SC women is necessary. Strengthening ongoing programs and policies targeting educational and economic empowerment of the socially weaker castes/tribes will help in reducing early childbearing. Efforts to prevent early childbearing will accelerate the achievement of the Sustainable Development Goals (SDGs)-especially those related to health, poverty, nutrition, education, and general wellbeing, in addition to protecting women's reproductive rights.

Geographic and socioeconomic inequalities in the coverage of contraception in Uttar Pradesh, India.

BACKGROUND: Uttar Pradesh (UP) is the most populous state in India, with a historically lower level of family planning coverage than the national average. In recent decades, family planning coverage in UP has significantly increased, yet there are considerable geographic and socio-economic inequalities. METHODS: The data used for the study is derived from a cross-sectional quantitative survey of 12,200 currently married women conducted during December 2020-February 2021 in UP by the Technical Support Unit. Univariate and bivariate analyses were performed and equiplots were used to make visualizing inequalities easy. RESULTS: The findings of the study reveal significant variation in family planning coverage indicators amongst currently married women in reproductive ages by administrative divisions in UP. For instance, in the Jhansi division, it was 72.4%, while in Faizabad, it was 39.3%. Jhansi division experienced the highest modern contraceptive coverage with the lowest inequity compared to other divisions. However, the range of coverage within the division by Accredited Social Health Activist (ASHA) areas is 25% to 75%. In fact, for some ASHA areas in the Jhansi division, the family planning demand satisfied for modern contraception ranged from more than 85% to less than 22%. On the other hand, the Gonda division with the lowest coverage and lowest inequity for demand satisfied for modern contraception has some ASHA areas with less than 5% and some with more than 36%. The study also revealed intersectionality of education, wealth, place of residence and geographic divisions in identifying inequity patterns. For instance, in case of Mirzapur and Varanasi, the demand satisfied among the illiterates was 69% and the corresponding percentage for literates was 49%. With respect to place of residence, Basti division, where the coverage for modern contraception is extremely low, demand satisfied for modern contraceptive methods is 16.3% among rural residents compared to 57.9% in the case of urban residents. CONCLUSIONS: The findings showed inequality in the modern family planning methods coverage in UP in both best and worst performing divisions. The inequalities exist even in extremely small geographies such as ASHA areas. Within the geographies as well, the socio-economic inequalities persisted. These inequalities at multiple levels are important to consider for effective resource allocation and utilization.

Financial-related discrimination and socioeconomic inequalities in psychological well-being related measures: a longitudinal study.

BACKGROUND: This study examined the prospective association between financial-related discrimination and psychological well-being related measures and assessed the role of financial-related discrimination in explaining socioeconomic inequalities in psychological well-being related measures. METHODS: Data of UK older adults (≥ 50 years) from the English Longitudinal Study of Ageing were used (baseline: Wave 5, 2010/2011; n = 8,988). The baseline total non-pension wealth (in tertiles: poorest, middle, richest) was used as a socioeconomic status (SES) measure. Financial-related discrimination at baseline was defined as participants who reported they had been discriminated against due to their financial status. Five psychological well-being related measures (depressive symptoms, enjoyment of life, eudemonic well-being, life satisfaction and loneliness) were examined prospectively across different follow-up periods (Waves 6, 2012/2013, 2-year follow-up; and 7, 2014/2015, 4-year follow-up). Regression models assessed associations between wealth, financial-related discrimination, and follow-up psychological measures, controlling for sociodemographic covariates and baseline psychological measures (for longitudinal associations). Mediation analysis informed how much (%) the association between wealth and psychological well-being related measures was explained by financial-related discrimination. RESULTS: Participants from the poorest, but not middle, (vs. richest) wealth groups were more likely to experience financial-related discrimination (OR = 1.97; 95%CI = 1.49, 2.59). The poorest (vs. richest) wealth was also longitudinally associated with increased depressive symptoms and decreased enjoyment of life, eudemonic well-being and life satisfaction in both 2-year and 4-year follow-ups, and increased loneliness at 4-year follow-up. Experiencing financial-related discrimination was longitudinally associated with greater depressive symptoms and loneliness, and lower enjoyment of life across follow-up periods. Findings from mediation analysis indicated that financial-related discrimination explained 3-8% of the longitudinal associations between wealth (poorest vs. richest) and psychological well-being related measures. CONCLUSIONS: Financial-related discrimination is associated with worse psychological well-being and explains a small proportion of socioeconomic inequalities in psychological well-being.

Correlation between socioeconomic indices and epidemiological indices of thyroid cancer from 1990 to 2019 year: a global ecologic study.

BACKGROUND: The incidence of thyroid cancer as the most common type of endocrine gland malignancy has risen more significantly than any malignancies in recent years. Estimated new cases of thyroid cancer in the United States in 2024 were 12,500 and 31,520 for men and women, respectively, and estimated deaths were 1,180 for women and 990 for men. Indices of socio-economic have been commonly used to measure the development of countries. Therefore, this study aimed to examine the correlation between indices of socioeconomic status and epidemiological indices of thyroid cancer throughout the world. In addition, this study has compared two indices of human development and a socio-demographic index. METHOD: This worldwide ecological study used data on thyroid cancer incidence, mortality, human development index (HDI), and sociodemographic index (SDI) between 1990 and 2019 from the Global Burden of Disease (GBD). We evaluated the correlation between incidence and mortality rates with socioeconomic indices by using Pearson's correlation coefficient. Furthermore, for the first time, the generalized additive model (GAM) was employed for modeling. The statistical software R, version 4.2.2, was used to conduct all statistical analyses. RESULTS: The correlation between the incidence of thyroid cancer and the HDI was significant and positive (r = 0.47, p-value < 0.001). While the correlation between thyroid cancer mortality and HDI was not statistically significant (r = 0.01, p-value = 0.076). Besides, the incidence of thyroid cancer was significantly positively correlated with SDI (r = 0.48, p-value < 0.001). The multiple GAM showed that for one unit increase in HDI, the risk of thyroid cancer was increased by 2.1 times (RR = 2.1, 95%CI = 2.04 to 2.19), and for one unit increase in SDI, the risk of thyroid cancer was shown to increase by 2.2 times. (RR = 2.2, 95%CI = 2.19 to 2.35). CONCLUSION: It has been evident that countries with higher incidence of thyroid cancer display higher socioeconomic indices. While, countries with higher socioeconomic indices, report lower mortality rates. However, based on the modeling results, it can be concluded that the SDI is slightly more useful in this regard. Therefore, examining the epidemiological indices of thyroid cancer by socio-economic indices can be useful to reflect a clear image of the distribution of this cancer in each country, and can be used for planning cancer prevention strategies.

Socio-demographic inequalities influence differences in the chemical exposome among Swedish adolescents.

Relatively little is known about the relationship between socio-demographic factors and the chemical exposome in adolescent populations. This knowledge gap hampers global efforts to meet certain UN sustainability goals. The present work addresses this problem in Swedish adolescents by discerning patterns within the chemical exposome and identify demographic groups susceptible to heightened exposures. Enlisting the Riksmaten Adolescents 2016-17 (RMA) study population (N = 1082) in human-biomonitoring, and using proportional odds ordinal logistic regression models, we examined the associations between concentrations of a diverse array of substances (N = 63) with the determinants: gender, age, participant/maternal birth country income per capita level, parental education levels, and geographic place of living (longitude/latitude). Participant/maternal birth country exhibited a significant association with the concentrations of 46 substances, followed by gender (N = 41), and longitude (N = 37). Notably, individuals born in high-income countries by high-income country mothers demonstrated substantially higher estimated adjusted means (EAM) concentrations of polychlorinated biphenyls (PCBs), brominated flame retardants (BFRs) and per- and polyfluoroalkyl substances (PFASs) compared to those born in low-income countries by low-income country mothers. A reverse trend was observed for cobalt (Co), cadmium (Cd), lead (Pb), aluminium (Al), chlorinated pesticides, and phthalate metabolites. Males exhibited higher EAM concentrations of chromium (Cr), mercury (Hg), Pb, PCBs, chlorinated pesticides, BFRs and PFASs than females. In contrast, females displayed higher EAM concentrations of Mn, Co, Cd and metabolites of phthalates and phosphorous flame retardants, and phenolic substances. Geographical disparities, indicative of north-to-south or west-to-east substance concentrations gradients, were identified in Sweden. Only a limited number of lifestyle, physiological and dietary factors were identified as possible drivers of demographic inequalities for specific substances. This research underscores birth country, gender, and geographical disparities as contributors to exposure differences among Swedish adolescents. Identifying underlying drivers is crucial to addressing societal inequalities associated with chemical exposure and aligning with UN sustainability goals.

Socioeconomic factors associated with use of telehealth services in outpatient care settings during the COVID-19.

BACKGROUND: To examine potential changes and socioeconomic disparities in utilization of telemedicine in non-urgent outpatient care in Nevada since the COVID-19 pandemic. METHODS: This retrospective cross-sectional analysis of telemedicine used the first nine months of 2019 and 2020 electronic health record data from regular non-urgent outpatient care in a large healthcare provider in Nevada. The dependent variables were the use of telemedicine among all outpatient visits and using telemedicine more than once among those patients who did use telemedicine. The independent variables were race/ethnicity, insurance status, and language preference. RESULTS: Telemedicine services increased from virtually zero (16 visits out of 237,997 visits) in 2019 to 10.8% (24,159 visits out of 222,750 visits) in 2020. Asians (odds ratio [OR] = 0.85; 95% confidence interval [CI] = 0.85,0.94) and Latinos/Hispanics (OR = 0.89; 95% CI = 0.85, 0.94) were less likely to use telehealth; Spanish-speaking patients (OR = 0.68; 95% CI = 0.63, 0.73) and other non-English-speaking patients (OR = 0.93; 95% CI = 0.88, 0.97) were less likely to use telehealth; and both Medicare (OR = 0.94; 95% CI = 0.89, 0.99) and Medicaid patients (OR = 0.91; 95% CI = 0.87, 0.97) were less likely to use telehealth than their privately insured counterparts. Patients treated in pediatric (OR = 0.76; 95% CI = 0.60, 0.96) and specialty care (OR = 0.67; 95% CI = 0.65, 0.70) were less likely to use telemedicine as compared with patients who were treated in adult medicine. CONCLUSIONS: Racial/ethnic and linguistic factors were significantly associated with the utilization of telemedicine in non-urgent outpatient care during COVID-19, with a dramatic increase in telemedicine utilization during the onset of the pandemic. Reducing barriers related to socioeconomic factors can be improved via policy and program interventions.

Research on the impact of digital economy on labor resource allocation: Evidence from China.

This paper establishes a coherent framework for delineating the nexus between the digital economy and the subjective efficacy of labor resource allocation. It elucidates the theoretical underpinnings of the digital economy's impact and its channel effects on the efficiency of labor allocation. Within the digital economy landscape, the phenomena of survivorship bias, digital divide, and algorithmic hegemony wield substantial sway over the efficiency of labor market allocation. Empirical analysis, conducted through a cross-sectional data model, validates the theoretical framework. The findings demonstrate that the digital economy markedly diminishes the subjective efficiency of labor allocation. Notably, this inhibitory effect is more pronounced among female workers, households with multiple residences, the non-unmarried demographic, and individuals over the age of 40, with the most pronounced effect observed among those aged over 60. In the examination of the causative mechanisms, it is discerned that the digital economy attenuates the subjective efficiency of labor allocation by workers through three conduits: alterations in social and economic status, shifts in living standards, and modifications in workplace comfort.