Frequency of internet use, economic income, and health of the population-comparative analysis of urban and rural areas based on Chinese General Social Survey.

People's health is one of the important supports for China's economic development. This study uses the 2021 Chinese General Social Survey (CGSS) data to empirically test the impact of residents' Internet use frequency and economic income on residents' health level, and analyzes the differences between urban and rural areas. The empirical test results show that, firstly, the frequency of Internet use can promote the health level of residents, and the promotion effect of Internet use frequency on the health level of rural residents is higher than that of urban residents; Secondly, economic income has a positive promoting effect on the health level of the entire sample of residents, but in urban samples, the regression between economic income and residents' health level is not significant. Third, in the heterogeneity test of region, gender and age, it is found that the impact of residents' Internet use frequency and economic income on residents' health level also has urban-rural differences. Based on this, this study suggests that the government can continue to make efforts to further promote the health level of residents by improving the Internet penetration rate, strengthening the use of Internet skills, carrying out Internet professional skills training and promoting the high-quality development of Internet content.

Association Between Family Income, Subclinical Myocardial Injury, and Cardiovascular Mortality in the General Population.

INTRODUCTION: Both low family income and subclinical myocardial injury (SCMI) are risk factors for cardiovascular disease (CVD) mortality. However, the impact of their joint association on CVD mortality is unclear. METHODS: This analysis from the third National Health and Nutrition Examination Survey included 6805 participants (age 59.1 ± 13.4 years, 52.3% women, and 49.8% White) free of CVD at baseline. Family income was assessed using the poverty-income ratio (PIR) and categorized into low (PIR < 1), middle (PIR = 1-4), and high (PIR > 4) income. A validated ECG-based cardiac infarction injury score (CIIS) ≥ 10 was considered positive for SCMI. CVD mortality was determined using the National Death Index. Cox-proportional hazard analysis was used to evaluate the associations of family income and SCMI, separately and jointly, with CVD mortality. RESULTS: A total of 1782 (26.2%) participants had SCMI at baseline. During a median follow-up of 18.2 years, 856 (12.6%) events of CVD mortality occurred. In separate multivariable Cox models, SCMI (vs. no SCMI) and middle- and low-income (vs. high-income) were each associated with a higher risk of CVD mortality (HR [95% CI]: 1.34 [1.16-1.54], 1.44 [1.16-1.78], and 1.59 [1.22-2.07], respectively). Compared to high-income participants without SCMI, those with low-income and SCMI had an increased risk of CVD mortality (HR [95% CI]: 2.17 [1.53-3.08]). The multiplicative interaction between PIR and SCMI was not significant (p = 0.054). CONCLUSION: Lower family income and SCMI are associated with CVD mortality, and their concomitant presence is associated with the highest risk. Family income and SCMI may help in the individualized assessment of CVD risk.

Patient characteristics of pediatric inpatients with sensorineural hearing loss: Insights from the 2016 KID database.

This study examines how patient demographics impact pediatric sensorineural hearing loss (SNHL) prevalence using the 2016 Kids' Inpatient Database (KID). By analyzing age, gender, race, income, insurance, and region, the study provides insights for early intervention and diagnosis. Multivariate regression analysis reveals associations between these factors and SNHL occurrence. OBJECTIVE: This study aims to assess the influence of patient demographics on pediatric SNHL prevalence, offering guidance for early detection and intervention strategies. STUDY DESIGN: Using 2016 KID data, this retrospective analysis investigates how patient factors like age, gender, race, income, insurance, and region relate to SNHL prevalence. Multivariate regression is employed to control for potential confounders. METHODS: Data from 6,266,285 patient discharges, including 9997 hearing loss cases, are analyzed. SNHL prevalence is calculated, and demographic variables are examined. Weighted odds ratios and multivariate regression are used to assess associations. RESULTS: The study finds an overall SNHL prevalence of 101.67 cases per 100,000 discharges in 2016. Non-Hispanic White patients show the highest prevalence. Black patients are more likely to be diagnosed, while Hispanic patients are less likely. Multivariate analysis highlights race, income, insurance, region, age, and sex as significant confounders. CONCLUSION: This study underscores the impact of patient demographics on pediatric SNHL prevalence. Factors like race, income, insurance, and region play a role. These findings aid in risk assessment, early identification, and tailored interventions. Further research can uncover socioeconomic disparities and underlying mechanisms.

Social support and health behaviors of older adults during the COVID-19 pandemic in China: a moderated mediation model of loneliness and economic income.

BACKGROUND: The literature shows that social support is an important factor influencing health behaviors. This study aimed to explore the relationships and intrinsic pathways of social support, loneliness, economic income, and health behaviors among older adults during the Corona Virus Disease 2019 (COVID-19) pandemic, and to provide a theoretical basis for the implementation of health behaviors interventions for older adults. METHODS: A cluster-random-sampling survey was adopted within two towns in Dongguan, China. Demographic characteristics, social support, loneliness, economic income and health behaviors were measured. The Social Support Appraisals scale (SS-A), the ULS-8 Loneliness Scale, and the Self-rated abilities for health practice scale (SRAHPS) were used to measure social support, loneliness, and health behaviors in older adults, respectively. A moderated mediation model was built to examine the relationships among social support, loneliness, economic income, and health behaviors using the SPSS PROCESS 4.0 macro. We conducted bootstrapping of regression estimates with 5000 samples and a 95% confidence interval. RESULTS: 621 older adults completed the questionnaire. Most of the participants were female, accounting for 75.0%, and the average age was 81.11 years (SD = 8.11). The median (interquartile range) of the participants' average monthly economic income was 800 (500-1000)RMB. The results of the mediation analysis showed that loneliness partly mediated the relationship between social support and health behaviors (B = 0.024, 95%CI: 0.007, 0.042), with the mediating effect accounting for 4.56% of the total effect. The moderation mediation analysis revealed a positive moderating role of economic income in the relationship between social support and loneliness (B = 0.114, 95%CI: 0.054, 0.174). Specifically, the relationship between social support and loneliness was found to be weaker for older adults with a high economic income compared to those with a lower economic income. CONCLUSION: The provision of enhanced social support and the alleviation of loneliness among older adults during an epidemic can facilitate the development of healthy behaviours, particularly among those who are economically disadvantaged.

Probabilistic bias analysis for exposure misclassification of household income by neighbourhood in a cohort of individuals with colorectal cancer.

INTRODUCTION: Despite poor agreement, neighbourhood income is used as a proxy for household income, due to a lack of data availability. We quantified misclassification between household and neighbourhood income and demonstrate quantitative bias analysis (QBA) in scenarios where only neighbourhood income is available in assessing income inequalities on colorectal cancer mortality. METHODS: This was a retrospective study of adults with colorectal cancer diagnosed 2006-14 from Statistics Canada's Canadian Census Health and Environment Cohort. Neighbourhood income quintiles from Statistics Canada were used. Census household income quintiles were used to determine bias parameters and confirm results of the QBA. We calculated positive and negative predictive values using multinomial models, adjusting for age, sex and rural residence. Probabilistic QBA was conducted to explore the implication of exposure misclassification when estimating the effect of income on 5-year mortality. RESULTS: We found poor agreement between neighbourhood and household income: positive predictive values ranged from 21% to 37%. The bias-adjusted risk of neighbourhood income on 5-year mortality was similar to the risk of mortality by household income. The bias-adjusted relative risk of the lowest income quintile compared with the highest was 1.42 [95% simulation interval (SI) 1.32-1.53] compared with 1.46 [95% confidence interval (CI) 1.39-1.54] for household income and 1.18 (95% CI 1.12-1.24) for neighbourhood income. CONCLUSION: QBA can be used to estimate adjusted effects of neighbourhood income on mortality which represent household income. The predictive values from our study can be applied to similar cohorts with only neighbourhood income to estimate the effects of household income on cancer mortality.

Economic inequalities in adolescents' internalising symptoms: longitudinal evidence from eight countries.

BACKGROUND: Research, mainly conducted in Europe and North America, has shown an inequitable burden of internalising mental health problems among adolescents from poorer households. We investigated whether these mental health inequalities differ across a diverse range of countries and multiple measures of economic circumstances. METHODS: In this longitudinal observational cohort study, we analysed data from studies conducted in eight countries (Australia, Ethiopia, India, Mexico, Peru, South Africa, the UK, and Viet Nam) across five global regions. All studies had self-reported measures of internalising symptoms using a validated scale at two timepoints in adolescence; a measure of household income, household consumption expenditure, or subjective wealth; and data collected between 2000 and 2019. Household income (measured in four countries), consumption expenditure (six countries), and adolescents' subjective assessment of household wealth (five countries) were measured in mid-adolescence (14-17 years). The primary outcome (internalising symptoms, characterised by negative mood, affect, and anxiety) was measured later in adolescence between age 17 and 19 years. Analyses were linear regression models with adjustment. Effect estimates were added to random-effects meta-analyses to aid understanding of cross-country differences. FINDINGS: The overall pooled sample of eight studies featured 18 910 adolescents (9568 [50·6%] female and 9342 [49·4%] male). Household income had a small or null association with adolescents' internalising symptoms. Heterogeneity (I2 statistic) was 71·04%, falling to 39·71% after adjusting for baseline symptoms. Household consumption expenditure had a stronger association with internalising symptoms (decreases of 0·075 SD in Peru [95% CI -0·136 to -0·013], 0·034 SD in South Africa [-0·061 to -0·006], and 0·141 SD in Viet Nam [-0·202 to -0·081] as household consumption expenditure doubled). The I2 statistic was 74·24%, remaining similar at 74·83% after adjusting for baseline symptoms. Adolescents' subjective wealth was associated with internalising symptoms in four of the five countries where it was measured. The I2 statistic was 57·09% and remained similar after adjusting for baseline symptoms (53·25%). We found evidence for cross-country differences in economic inequalities in adolescents' internalising symptoms, most prominently for inequalities according to household consumption expenditure. Subjective wealth explained greater variance in symptoms compared with the objective measures. INTERPRETATION: Our study suggests that economic inequalities in adolescents' mental health are prevalent in many but not all countries and vary by the economic measure considered. Variation in the magnitude of inequalities suggests that the wider context within countries plays an important role in the development of these inequalities. FUNDING: Wellcome Trust.

Analysis of factors associated with tooth loss in older adults from 1995 to 2015: a population-based cross-sectional survey in Guangdong, China.

OBJECTIVES: The aim of this study was to detect trends and related factors in the functional dentition (FD) in 65- to 74-year-olds in Guangdong, China, while also assessing trends in education and income inequality factors. MATERIALS AND METHODS: Three large-scale cross-sectional National Oral Health Surveys (NOHS), specifically NOHS II in 1995, NOHS III in 2005, and NOHS IV in 2015, were included. Post hoc stratification was weighted for 1038 participants aged 65 to 74years. Retaining teeth ≥ 20 teeth and retaining < 20 teeth was defined as functional dentition (FD) and nonfunctional dentition (NFD), respectively. Logistic regression models were established to assess related factors. Slope index of inequality (SII) and relative index of inequality (RII) were used to analyze inequality. RESULTS: From NOHS II to IV, the FD proportion increased from 42.8 to 71.9%. Years of NOH, with caries, with periodontal pocket, high educational level, high income level, female, and those who had dental visits were associated with FD preservation. The education-related SII decreased from 0.44 to 0.20, and the income-related SII increased from 0.13 to 0.16. CONCLUSIONS: The FD proportion among 65- to 74-year-olds improved from 1995 to 2015. Years of NOHS, with caries, with periodontal pocket, high education level, and high income level were associated with higher FD proportion. Female and those who had dental visits were associated lower FD proportion. Social inequalities in FD persisted, especially economic-related inequalities. Public health policy support and respective interventions should be applied to increase FD retention.

High-Deductible Health Insurance May Exacerbate Racial And Ethnic Wealth Disparities.

This study examined the equity implications of high-deductible health plans within the context of racial and ethnic wealth disparities. Using restricted data from the Medical Expenditure Panel Survey, we evaluated the net worth (in 2011-18) and financial assets (in 2011-16) of families with private insurance and those in high-deductible health plans with and without an associated health savings account. Our results represent, to our knowledge, the first estimates of racial and ethnic wealth disparities within these populations. Results show that White households consistently held significantly more wealth than did Black and Hispanic households across income levels. In the lowest income quartile, White privately insured families had more than 350 percent more in financial assets than their Black counterparts. Low-income Black and Hispanic families with high-deductible health plans but no savings accounts had median financial assets ($2,200 and $2,000, respectively) that were well below the average family coverage deductible. Study findings highlight the role of systemic racial wealth disparities, beyond that of income, to establish a unique pathway whereby high deductibles can exacerbate health care inequities.

Access to healthcare services during the COVID-19 pandemic: a cross-sectional analysis of income and user-access across 16 economically diverse countries.

BACKGROUND: National health systems have different strengths and resilience levels. During the COVID-19 pandemic, resources often had to be reallocated and this impacted the availability of healthcare services in many countries. To date there have been few quantitative contemporary studies of inequalities in access to healthcare within and between countries. In this study, we aim to compare inequality within and between 16 economically diverse countries. METHODS: Online surveys were conducted on 22 150 adults in 16 countries across six continents in 2022. Quota sampling and post-stratification weighting was used to obtain an age, gender, geographically, and educationally representative sample. The study assesses the differences in challenges in access to healthcare during the pandemic (for GP, surgical/clinical and digital GP services) using country-specific expanded health-needs-adjusted Erreygers' concentration indices and compares these values between countries using a Spearman's rank correlation coefficient. RESULTS: Results show wide variation in income-related challenges in access within countries for different types of care. For example, Erreygers' concentration index for digital services in Colombia exhibited highly regressive inequality at 0·17, compared to Japan with an index of -0·15. Inequalities between countries were also evident, with Spearman rank coefficients of -0·69 and -0·65 (p-values of 0·003 and 0·006) for digital and surgical access, indicating that lower income countries had greater inequality in healthcare access challenges. CONCLUSION: During the pandemic, inequalities in challenges to accessing healthcare were greatest in low and middle-income countries. Digital technologies offer a reasonable means to address some of this inequality if adequate support is provided and accessible digital infrastructure exists.

Structural inequality and temporal brain dynamics across diverse samples.

BACKGROUND: Structural income inequality - the uneven income distribution across regions or countries - could affect brain structure and function, beyond individual differences. However, the impact of structural income inequality on the brain dynamics and the roles of demographics and cognition in these associations remains unexplored. METHODS: Here, we assessed the impact of structural income inequality, as measured by the Gini coefficient on multiple EEG metrics, while considering the subject-level effects of demographic (age, sex, education) and cognitive factors. Resting-state EEG signals were collected from a diverse sample (countries = 10; healthy individuals = 1394 from Argentina, Brazil, Colombia, Chile, Cuba, Greece, Ireland, Italy, Turkey and United Kingdom). Complexity (fractal dimension, permutation entropy, Wiener entropy, spectral structure variability), power spectral and aperiodic components (1/f slope, knee, offset), as well as graph-theoretic measures were analysed. FINDINGS: Despite variability in samples, data collection methods, and EEG acquisition parameters, structural inequality systematically predicted electrophysiological brain dynamics, proving to be a more crucial determinant of brain dynamics than individual-level factors. Complexity and aperiodic activity metrics captured better the effects of structural inequality on brain function. Following inequality, age and cognition emerged as the most influential predictors. The overall results provided convergent multimodal metrics of biologic embedding of structural income inequality characterised by less complex signals, increased random asynchronous neural activity, and reduced alpha and beta power, particularly over temporoposterior regions. CONCLUSION: These findings might challenge conventional neuroscience approaches that tend to overemphasise the influence of individual-level factors, while neglecting structural factors. Results pave the way for neuroscience-informed public policies aimed at tackling structural inequalities in diverse populations.

Household income is associated with attack frequency, but not with the prevalence of headache: an analysis of self-reported headache in the general population in Germany.

BACKGROUND: Headache disorders are among the most prevalent neurological disorders worldwide. However, whether groups differing in socioeconomic position (SEP) are disproportionately affected by headache disorders has not yet been adequately clarified. Our aim was to analyse (1) the headache prevalence by socioeconomic position (SEP) and (2) the attack frequency by SEP in a German population-based adult sample. METHODS: Cross-sectional data from a random general population were used. The sample included N = 2,189 participants aged ≥ 18 years. SEP was measured using net equivalised income (NEI) and education. A binary logistic regression model tested the effect of SEP in predicting the prevalence of headache in general. Ordinal logistic regressions were modeled to predict the effect of SEP on the likelihood of attack frequency. Attack frequency was categorized in low frequency episodic headache (LFEH: 0-3 days per month), moderate frequency episodic headache (MFEH: 4-14 days per month) and chronic headache (CH: ≥ 15 days per month). RESULTS: Of the 2,189 participants, 891 reported headache in the last six months. Neither income nor education was associated with headache prevalence. However, significant differences between income groups were found for attack frequency. Compared to participants with NEI > 150%, those with NEI < 60% were 5.21 times more likely (95%CI 2.03, 13.36) to experience higher headache frequency, and those with NEI between 60 and 150% were 2.29 times more likely (95%CI 1.02, 5.11), with adjustments made for a set of potential confounders, including depressive symptoms. CONCLUSIONS: To reduce headache attacks, it is essential to address both low- and middle-income groups affected by headaches. Universal public health prevention campaigns are particularly appropriate.

Income and education disparities in childhood malnutrition: a multi-country decomposition analysis.

INTRODUCTION: Childhood malnutrition is a complex issue with a range of contributing factors. The consequences of malnutrition are severe, particularly for children. This study aims to identify the factors contributing to inequality gaps in childhood malnutrition. Our study provides insights into modifiable elements to inform interventions targeted at distinct contexts and populations to improve child nutrition. METHODS: This study utilized data from the Demographic and Health Surveys (DHS) of 27 countries. First, the risk differences (RDs) between the prevalence of childhood malnutrition among the determinant variables, household income, and maternal education categories were calculated. The Blinder‒Oaxaca decomposition was subsequently used to determine the extent to which the difference in childhood malnutrition prevalence between low-income and high-income groups and maternal education levels results from the contributory effects of the explanatory variables: child and maternal individual-level compositional factors. RESULTS: We examined data from 138,782 children in 27 countries from 2015 to 2020. The prevalence of childhood malnutrition (10.5%) varied across countries, ranging from 6.5% in Burundi to 29.5% in Timor Leste. On average, the prevalence of childhood malnutrition was 11.0% in low-income households and 10.7% among mothers without education. Some nations had pro-low-income (i.e., malnutrition concentrated among children from poor households) or pro-no-maternal education (i.e., malnutrition concentrated among children from mothers with no formal education) inequality in childhood malnutrition, but most did not. We found a complex interplay of compositional effects, such as the child's age, maternal education, maternal health behavior, and place of residence, that influence the inequality in childhood malnutrition rates across 10 pro-low-income countries. In addition, we also found that a complex mix of compositional effects, such as the household wealth index, maternal health behavior, and maternal age, contribute to childhood malnutrition inequality between educated and uneducated mothers across the 7 pro-no maternal education countries. CONCLUSION: The prevalence of childhood malnutrition varies among low-income, high-income, and no maternal education-maternal education groups. This study highlights the need for a country-specific approach to addressing childhood malnutrition, with policies and interventions tailored to each country's specific context.

The roles of employment status and income in the mental health of informal caregivers in Germany.

BACKGROUND: Informal caregivers often experience multiple negative consequences as a result of the informal care they provide. Among other factors, employment status, financial resources, and mental health are related to informal caregiving. This analysis examined the association between informal caregivers' employment status and their mental health, as well as the moderating effect of net household income on this relationship. METHODS: The research question was addressed with data from the German Socio-Economic Panel (SOEP) survey, comprising 3,053 informal caregivers (1,007 male; 2,046 female). Data were obtained through self-reports, and mental health was measured with the Summary Scale Mental Score. Stepwise adjusted multiple linear regression models were used to examine the association between employment status and mental health. The moderating effects were tested with interaction terms. All analyses were also stratified for gender. RESULTS: Informal caregivers with full-time jobs reported better mental health than unemployed or marginally employed caregivers (ß = 0.077, p < 0.001). The significant interaction term for full-time (ß=-0.066, p = 0.001) and part-time workers (ß=-0.066, p = 0.003) indicated a moderating effect of net household income on the association between employment status and mental health. This finding was especially evident in women. CONCLUSIONS: Employment appears to be a relevant protective factor for informal caregivers' mental health. However, if informal caregivers are not employed, a low net household income might additionally restrict their mental health. Therefore, welfare policy structures must be created to reduce the negative financial consequences for informal caregivers and enable them to achieve work-life-care balance.

Correlation analysis of exercise volume and musculoskeletal disorders in people with income level differences: research based on the 2011-2018 NHANES dataset.

OBJECTIVES: Socioeconomic factors significantly impact human health; however, the impact of exercise and income on musculoskeletal system health remains unclear. Our study aims to explore the relationship between exercise and income with musculoskeletal system health in young and middle-aged adults. DESIGN: This cross-sectional study used data from 7,515 adults aged 20-59 years, which were obtained from the US NHANES, 2011-2018. Participants' musculoskeletal system health was evaluated on the basis of them having osteopenia, osteoporosis, or sarcopenia. METHODS: Ordinal regression was used to explore the correlation between income level, exercise volume, and musculoskeletal system health. Mediating effect analysis was used to assess whether the exercise volume affected the impact of income levels on musculoskeletal system health. Ordinal regression and restricted cubic spline curve were used to further analyze the relationship between exercise and income level. RESULTS: In the analysis of adjusted all covariates, the probability of having good musculoskeletal system health in high-income participants was higher than that of low- or middle-income participants. The probability of having good musculoskeletal system health in the actively exercising group higher than that of the participants exercised insufficiently or sufficiently. Mediating effect of exercise masked the effect of income on musculoskeletal system health. Participants with low income levels tended to spend more time exercising that those who had high income levels; exercise volume and income level had a significant non-linear relationship. CONCLUSION: The findings presented will help identify young and middle-aged adults who are most at risk of developing musculoskeletal health problem and will likely benefit from certain lifestyle interventions.

Association between Family Household Income and Cognitive Resilience among Older US Adults: A Cross-Sectional Study.

Cognitive resilience has emerged as a mechanism that may help explain individual differences in cognitive function associated with aging and/or pathology. It is unknown whether an association exists between family income level and cognitive resilience. We performed a cross-sectional study to estimate the relationship between family income level and high cognitive resilience using the National Health and Nutrition Examination Survey (NHANES) among older adults (age≥60). Logistic regression was used to estimate the association between income level and high cognitive resilience adjusted for other factors. Accounting for differences in education, occupation, and health status, older adults in the highest income category were twice as likely compared to those with very low income to have high cognitive resilience (OR: 1.90, 95% CI: 1.05,3.43). A doseresponse was apparent between income category and high cognitive resilience. The finding that income, above and beyond that of known factors, affects cognitive function is important for future public health strategies that aim to prevent or delay cognitive impairment.

How Housing Stress Affect Health Care Costs: A Panel Data Study.

As housing prices in China continue to escalate and the limitations of the "personal unlimited liability system" for housing loans become more evident, the financial stress on families has significantly increased. This stress not only impacts the physical and mental health of family members but also results in rising health care costs. This paper presents empirical research examining how housing stress influences changes in household health care costs through a panel data analysis. The study is based on the China Family Panel Study (CFPS) database and employs a panel two-way fixed effect model alongside a mediating effect model to examine the impact of housing stress, family income, and health status on health care costs. The findings reveal a significant positive correlation between housing stress and health care costs; specifically, for every 1% point increase in housing stress, health care costs rise by 0.141. Robustness tests and propensity score matching (PSM) further validate these findings, even after addressing endogeneity issues. Mediation effect analysis indicates that for every 1% point increase in housing stress, household disposable income decreases by 1.749, and health status declines by 0.468, thereby increasing household health care costs. Heterogeneity analysis demonstrates that housing stress has a more pronounced impact on health care costs among western, eastern, urban, and rental households. The government should implement various measures, such as promoting a "personal limited liability system" mortgage policy, reducing housing prices, and ensuring equal rights to rent and purchase, to alleviate housing stress, enhance family income, and improve residents' health status. These actions would contribute to the promotion of both the housing market and medical care, supporting the sustainable development of the health care sector and ultimately improving long-term social welfare.

The impact of work-family conflict on Chinese women's fertility intention: the role of fertility attitude, income class, and child-rearing burden.

The struggle women face in balancing work and family roles is a significant factor contributing to the decline in their fertility intentions. Therefore, work-family conflict serves as a crucial determinant influencing women's fertility intentions. This study aims to explore the internal mechanism between work-family conflict and the fertility intentions of Chinese women, using data obtained from 334 questionnaires. Data analysis was conducted using Mplus 8.0. The following conclusions were drawn: (1) There is a negative correlation between work-family conflict and women's fertility intentions. (2) Fertility attitudes play a mediating role in the relationship between work-family conflict and women's fertility intentions. (3) The relationship between work-family conflict and women's fertility intentions is moderated by income class. (4) The relationship between work-family conflict and women's fertility intentions is moderated by women's child-rearing burden. The findings of this study provide a foundation for governments at all levels to formulate population policies.

Decomposition of the wealth gradient in maternal healthcare quality in low- and middle-income countries.

Although access to health services by poor populations has improved in most low- and middle-income countries, wealth remains associated with better quality of care that in turn leads to better health outcomes. Understanding the patterns of such inequities can inform the design of policies to improve services received by poor populations. We employ regression and inequality decomposition analyses using household survey data from 58 low- and middle-income countries between 2010 and 2021 to characterize inequity in quality of antenatal care, to test at which levels inequity exists, and to assess at which levels inequities are most pronounced. We find that in most countries and in both rural and urban areas, wealthier women are more likely to receive high-quality antenatal care than their poorer peers who reside in the same locality (village or neighborhood), even when attending similar types of health facilities (public vs. private, and primary care facilities vs. hospitals). However, although inequity exists at such a local level, most of the wealth gradient in quality of antenatal care is explained by variation in quality of care between wealthier and poorer localities.

Contextual Boundaries: Skin Tone Stratification and Skill Transferability Among Mexicans in the Age of Mass Migration.

An extensive literature has focused on the association between human, social, and economic capital and better immigrant economic attainment, and how these characteristics contribute to stratification among members of the same group. However, few studies have explored how racialization processes contribute to these within-group differences. We examine the role of intragroup differences in skin tone in stratifying outcomes among Mexican immigrants in the early twentieth century. We create a new dataset of 1910-1940 Mexican border-crossing records that we then link to the U.S. 1940 census. We use characteristics at entry to predict income in 1940 and find that-in line with dominant assimilation theories-standard measures of capital are associated with within-group attainment differences. However, we also find skin tone to be a source of within-group stratification: being perceived as having darker skin is associated with lower subsequent economic attainment than being perceived as having lighter skin. Furthermore, whereas human and social capital transcended context to allow migrants to transfer those skills anywhere, the effect of skin tone was significant only in Texas and not in other major receiving places like California. We argue that although standard measures of assimilation typically predict later outcomes, the stratifying effect of skin tone has long been a feature of Mexican immigration.

Effects of Income on Subjective Well-Being in the Elderly: Complete Mediation Roles of Self-Rated Health and Psychological Capital.

Although income and living conditions of residents have greatly improved in recent years, people's subjective well-being does not seem to increase daily. This study aimed to explore income, self-rated health, and psychological capital on subjective well-being, using data from the China General Social Survey conducted in 2017. A total of 1136 elderly as subsamples data were selected from 12 582 participants, involving general sociodemographic characteristics, income, self-rated health, psychological capital, and subjective well-being. SPSS v26.0 macro was used for descriptive statistics, ANOVA and correlation analysis. PROCESS v3.4 macro was performed to examine multiple mediating effects of self-rated health and psychological capital. The elderly residing in urban (P = .016) and having completed 9-year compulsory education (P = .016) reported higher subjective well-being scores. The findings revealed that subjective well-being was positively associated with income, health, and psychological capital among the aged adults (all P < .001). Self-rated health and psychological capital played complete mediation roles between income and subjective well-being (Effect indirect = 0.040, 95% bootstrap CI [0.022, 0.060]; Effect indirect = 0.027, 95% bootstrap CI [0.013, 0.044], respectively). Collectively, our findings indicate that residing in rural and having lower education levels serve as negative predictors of subjective well-being among the elderly. Although income still affects the elderly's subjective well-being, self-rated health and psychological capital may be the crucial mediating factors. Therefore, it is of utmost importance to improve health conditions and positive psychological capital for subjective well-being of the older people.