Household Income Level Research Articles

Ethnic Group Differences in the Timing of Autism Diagnosis, Intellectual Disability, and Educational Placement of Autistic Children in Singapore.

Given Singapore's distinct multicultural identity, this study examined the hypotheses that there may be ethnic group differences in diagnosis and outcomes in autistic children in Singapore. Retrospective data were obtained from medical records of all children born between 2008 and 2011 who were diagnosed with clinical or confirmed autism. One-way ANOVAs and regression analyses were used to analyze data. Data from 2577 medical records were extracted. There were more boys (82.5%) and ethnic group distribution was Chinese (67%), Malay (14%), Indian (10%), and Others (10%). Chinese children were more likely to present at a developmental clinic with concerns 3-4months younger compared to Malay children and those from Other Races (F(3, 2038) = 9.58, p < .001, Cohen's F = 0.12). Chinese children were also more likely to receive an autism diagnosis approximately 3months younger compared to Malay children. Fewer autistic Chinese children were diagnosed with co-occurring intellectual disability (13.1%) while there were almost twice more Malay children than expected with co-occurring intellectual disability (29.9%) (χ2 (3) = 55.17, p < .001). There are correspondingly more Malay children on the autism spectrum who attend special education schools. Possible confounding variables such as household income level and mother's level of education were identified in some of these findings. Several significant ethnic group differences in autistic children in Singapore exist that warrant more investigation into possible causes and support systems needed, with implications for other ethnically diverse nations.

Energy choice and women’s economic empowerment among the rural households in Southern Ethiopia

Access to reliable and affordable energy is crucial for women to carry out household duties efficiently, including cooking and cleaning. However, many women in developing countries still lack access to modern energy sources, which strains their time, health, and overall well-being. This study investigates the relationship between women’s economic empowerment and energy choices among rural households in the Southern Nations, Nationalities, and Peoples region of Ethiopia. Utilizing a multi-stage cluster sampling design, 569 households were selected from six randomly chosen woredas (districts). Employing a multinomial model, the research explores factors influencing energy source selection. The findings reveal that a majority of households rely on traditional energy sources, with a positive correlation observed between women’s economic empowerment, as measured by the CWEEI, and the adoption of modern energy sources. Additionally, household size and income significantly predict energy source choices. This study underscores the pivotal role of women’s economic empowerment in promoting cleaner energy use in rural settings. Policymakers and program implementers are urged to consider household size and income levels when formulating effective energy programs and interventions.

Association between Marital Status and Cognitive Impairment in a Multi-Ethnic Asian Population

Objective: This study aimed to examine the potential factors associated with marital status and determine the association between marital status and cognitive impairment in a multi-ethnic Asian population. Method: This study included 2,321 participants from Singapore Multi-Ethnic Cohort revisit study (aged 40–89). Participants were classified into married and unmarried group at baseline and follow-up according to self-reported marital status. Mini-Mental Status Examination (MMSE) was administered, and cognitive impairment was defined as a MMSE <26. We conducted both cross-sectional and longitudinal analyses to examine the association of marital status at 1 timepoint as well as marital transition with cognitive impairment. Results: Of the 2,321 participants, a total of 1,914 (82.5%) were married. The factors associated with marital status included younger age, male sex, higher household income, higher education, and higher physical activity levels. Additionally, married participants also had higher alternative healthy eating index (AHEI-2010) scores and a lower burden of hypertension and diabetes. Among those who were married, the median (Q1, Q3) MMSE score was 29 (28, 30) while among those who were unmarried it was 29 (27, 30) (p < 0.01). Participants who had never been married had the highest odds of cognitive impairment compared to their married counterparts (model III: OR = 1.48, 95% CI: 1.03, 2.14). Older age (p interaction value = 0.003) and Indian ethnicity (p interaction value = 0.028) further strengthened these associations. Conclusion: Marriage was associated with lower odds of cognitive impairment. Marriage provides social support, companionship, and engagement in mentally stimulating activities contributing to better cognitive health. By identifying risk factors such as marital status, interventions and support systems can be developed to promote healthy cognitive aging.

Education, employment, and income among people living with cystic fibrosis across three decades – A matched cohort study using Danish health registries

BackgroundPast and ongoing advancements in cystic fibrosis (CF) care warrant long-term analysis of the societal impact of the condition. This study aims to evaluate changes in key socioeconomic factors across three decades among people living with CF (pwCF), compared with both the general population and an early-onset chronic disease population. MethodsThis nationwide, registry-based, matched cohort study included all pwCF ≥ 18 years in Denmark in the years 1990, 2000, 2010, and 2018. Each person living with CF was matched to five individuals in the general population and five individuals living with type 1 diabetes or juvenile arthritis based on age, sex, and municipality. ResultsThe Danish adult CF population increased nearly fourfold from 88 in 1990 to 331 in 2018, and mean age increased by ten years. The educational level of pwCF was similar to the two comparator cohorts, while pwCF were less often in employment and more often permanently outside the labor force. Personal and household income levels of the CF cohort were higher than those of the comparator cohorts. ConclusionsThe disadvantage in employment for pwCF remained, but, over time, the societal profiles of the one-year CF cohorts increasingly converged with those of the comparator cohorts, indicative of improved clinical management, extended life expectancy, and the supportive role of the Danish welfare system in reducing health inequalities. Further research should be done to evaluate the effects of the newly introduced modulator therapies on employment, considering the broader societal impact and impact on quality of life.

Determinants of Small-Scale Farmers’ Participation in Social Capital Networks to Enhance Adoption of Climate Change Adaptation Strategies in OR Tambo District, South Africa

Globally, climate change remains one of the most pressing challenges, and it is also an obstacle to the fundamental achievement of the Sustainable Development Goals. The purpose of the study was to examine the determinants of small-scale farmers’ participation in social capital networks to enhance adoption of climate change adaptation strategies. Multistage and purposive sampling were used to carry out the study. A cross-sectional research design was used to carry out the study and structured questionnaires were used as a data collection tool. The data collected were analyzed using descriptive statistics, the Binary Logit model, and the Ordered Logit model. The findings of the study show that gender, household size, age, marital status, education, and employment status affect a farmer’s participation in social capital networks. The results also show that household size, employment status, and income level affect the extent of participation in social networks. As the paper is the first to look at the determinants of the participation of farmers in social capital networks in Eastern Cape, the results are of paramount importance to policy formulators in order to formulate policies that will encourage farmers to join localized farmer-based social capital networks to adopt climate change adaption measures.

Effectual Insights Of Microcredit Services To Rural Livelihood: A Southern Punjab Perspective

Uncertain economic situation of developing countries like Pakistan is posing threat to marginalized societies and lives in rural areas. Microcredit is considered as most efficient tool in mitigating the vulnerable condition i.e. either due natural calamities or economic policies. This study was fact finder is checking the impact and highlighting the problems associated with microfinancing. For the purpose cross-sectional study was carried out in three randomly selected districts of Punjab province. From each district 200 beneficiaries of microfinancing were selected using lists provided by the regional offices of MFIs. Data obtained through interview schedule from sample of 600 was analyzed using SPSS. Results revealed that respondents received microcredit both for social as well as agricultural purposes. Results showed that percentage share of farm income have been increased after receiving of microcredit. There is a relatively lower impact of microcredit on some indicators such as access to education and health facilities, contribution to family income, and household income level. For tackling the problems like in-time disbursement and repayment, monitoring, business advisory to front man and regular meetings with borrowers can make difference. However, introducing reward system for repayment can be effective.

Association of Depressive and Anxiety Symptoms With Risk of Cardiovascular Disease in Middle-Aged and Older Chinese Women.

The objective of this study was to estimate the association of depressive and anxiety symptoms with the risk of cardiovascular disease (CVD) in middle-aged and older Chinese women and to further evaluate whether the association was influenced by sociodemographic factors. This cross-sectional study included 9544 women aged 40 to 70 years from the eastern, central, and western regions of China in 2018. Logistic regression models were utilized to examine odds ratios (ORs) and their 95% confidence intervals (CIs) for depressive and anxiety symptoms with CVD risk. Depressive (OR = 1.89) and anxiety symptoms (OR = 1.55) were independently associated with an increased risk of CVD after adjusting for potential confounders. Stratified analyses found that depressive symptoms were only significantly associated with higher risk of CVD in women aged over 50 years and with lower levels of education and household income, whereas anxiety symptoms were only significantly associated with an elevated risk of CVD in women aged 60 to 70 years, and living in rural areas, and with lower levels of education and household income. Our findings emphasize the improvement of recognizing and managing depressive and anxiety symptoms to reduce the risk of CVD in middle-aged and older women, particularly in older women of low socioeconomic status.

Unemployment, household arrangements, and socioeconomic inequalities in Brazil

This article examines the role of households in the distribution of unemployment risks in Brazil. We analyze several indicators that summarize the entry into the labor market across different household arrangements and descriptive statistics calculated for each position within these arrangements. We then use a logistic regression model to calculate the likelihood of open or potential unemployment. For women, living with children correlates with a greater likelihood of open or potential unemployment, while the opposite is true for men due to the unequal distribution of family responsibilities. The likelihood of open or potential unemployment is higher for people living with elderly people. Finally, the level of household income has a greater effect on women than onmen, possibly due to the female transition from inactivity to employment in households with fewer resources.

Distribution of usual vitamin intake and prevalence of inadequate intake among Chinese adults in 2015

To estimate the usual vitamin intake and the prevalence of inadequate intakes among Chinese adults in 2015, and to provide a scientific basis for developing nutrition intervention strategies and measures for target populations. Data was drawn from the Chinese Nutrition and Health Surveillance 2015-2017, a nationally representative cross-sectional study. The multistage stratified whole-group random sampling method was used to draw participants from 298 surveillance sites in 31 provinces(autonomous regions and municipalities). Participants with no available information or abnormal energy intake were excluded, and finally, a total of 72 231 participants aged 18 years and older were included in the current study. The dietary data of the participants were collected by the 24-hour dietary recall method combined with the condiment weighing method for three consecutive days. The National Cancer Institute method was used to estimate the distribution of the usual intake of vitamin B_1(thiamine), vitamin B_2(riboflavin), niacin, vitamin C(ascorbic acid), and vitamin E(tocopherol), and the prevalence of inadequate intake was evaluated based on estimated average requirement or adequate intake from the Chinese Dietary Reference Intakes 2023. The usual intake of vitamin E, vitamin C, vitamin B_1, vitamin B_2 and niacin were 27.93 mg/d, 77.67 mg/d, 0.78 mg/d, 0.62 mg/d and 13.15 mg/d, respectively. The prevalence of inadequate intake was, in descending order, vitamin B_2(95.98%), vitamin B_1(86.73%), vitamin C(63.70%), niacin(39.81%), and vitamin E(21.17%). The prevalence of inadequate vitamin E, vitamin C, vitamin B_1 and niacin intake among females was higher than among males(P&lt;0.01). Overall, the prevalence of inadequate vitamin intake increased with age. Rural residents had a higher prevalence of inadequate intake of vitamin C, vitamin B_2 and niacin than urban residents(P&lt;0.01). Except for vitamin E, the prevalence of inadequate intake of vitamins decreased with increasing education levels. The prevalence of inadequate intake of these five vitamins was higher among participants with lower income levels than those with middle or high income(P&lt;0.01). Participants with normal weight had a higher prevalence of inadequate intake of vitamin E than those with overweight or obesity and had a higher prevalence of inadequate intake of vitamin C than those with obesity. However, participants with normal weight had a higher prevalence of inadequate intake of vitamin E than those with overweight or obesity, with the differences being statistically significant(P&lt;0.01). Except for vitamin E, the prevalence of inadequate intake of vitamins decreased with increasing physical activity intensity. In 2015, the usual intake of dietary vitamins of Chinese adults was low. There are differences in usual intakes of vitamins and prevalence of inadequate vitamin intake for adults aged 18 years and above in males and females, different age groups, urban and rural areas, education levels, household income levels, body mass index and physical activity intensity.

Parenting young children during COVID-19: Parenting stress trajectories, parental mental health, and child problem behaviors.

Parenting stress reflects a discrepancy between a parent's perception of their resources, the demands of their child's needs, and the caregiving relationship and contexts (Abidin, 1992). Parenting stress can increase the risk of issues in the parent-child relationship, as well as child behavioral and emotional outcomes (Neece et al., 2012; Spinelli et al., 2021). Chronic stressors, such as living through the COVID-19 pandemic, have the potential to increase the demands of parenting and thus parenting stress. Using latent growth curve modeling, we examined parenting stress trajectories of 298 American parents with young children (Mage = 15.02 months, range = 1-34 months) over the first year of the COVID-19 pandemic. We also examined the effects of parental mental health on parenting stress, and the effects of parental mental health and parenting stress on child problem behaviors using data gathered through the Prolific survey platform. Parental mental health, measured by depressive symptoms Centre for Epidemiological Studies Depression Scale-10, anxiety symptoms Generalized Anxiety Disorder Scale (GAD-7), and overall stress levels 10-item Perceived Stress Scale, was related to higher initial parenting stress index-short form. Changes in parenting stress over time were linked with higher levels of children's problem behaviors (CBCL). Child temperament was also related to initial parenting stress. Lower levels of household income were linked with higher levels of parental mental health symptoms and higher rates of parenting stress increases over time. These results highlight the importance of considering the well-being of all family members in child outcomes, and the ways in which different experiences and resources during the COVID-19 pandemic affect parental and child well-being. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Role of Women Involvement in Healthcare Sector and its Impact on Their Socioeconomic Development in Kabul, Afghanistan

This study investigates the socioeconomic status and discrimination experienced by women in the healthcare sector in Kabul. Through a comprehensive survey, data was collected on household income, job satisfaction, career progression, and instances of gender-based discrimination. Findings indicate a moderate household income level with variations among respondents. Women with higher incomes tend to perceive their earnings aligning with qualifications. Additionally, the study uncovers a nuanced relationship between years of employment, satisfaction, and stability. Gender-based discrimination remains a concern, impacting reporting comfort and influencing perceptions of professional development opportunities. Correlation analyses reveal positive links between beliefs in equal career opportunities, job stability, diverse job roles, and satisfaction. The study suggests interventions to address discrimination, enhance career opportunities, and improve financial literacy.

The impact of green and low carbon agricultural production on farmers’ income in minority areas: a case study of Y Town, Zhijin County, Guizhou Province

Developing green and low-carbon agriculture is an important and effective way to promote farmers’ income growth. Given the country’s “dual carbon” goal, the study of the impact of green and low-carbon agriculture on the income of farmers in ethnic minority areas is crucial for China to achieve the goals of socialist modernization and common prosperity. Taking Y Town, Zhijin County, Guizhou Province as an example, this paper uses the OLS regression method to empirically study the impact of green and low-carbon agricultural production methods on the income of farmers in ethnic minority mountainous agricultural areas based on the field survey data of 881 farmers. The regression results indicate that there is a positive correlation between green and low-carbon agricultural production and the household income levels of farmers; adopting green and low-carbon agricultural production technologies can effectively promote the growth of farmers’ household income. In addition, education level, health status, and the new rural social pension insurance have all had a significant effect on the income of rural households, however, due to the difficulty in establishing trust relationships, agricultural service outsourcing has reduced the household income level of farmers. As an example, the land transfer behavior in Y Town has no significant effect on increasing farmers’ incomes. Finally, it is recommended to increase fiscal and financial support as well as effectively enhancing farmers’ policy awareness and perception of green and low-carbon agricultural production technologies by improving farmers’ general trust and institutional trust by strengthening farmers’ agricultural education and skills training while cultivating technology-based farming. At the same time, it is necessary to break the geographical restrictions on land transfer scale and achieve moderate-scale land management while promoting the use and adoption of green and low-carbon agricultural production technologies, thereby improving agricultural production efficiency and product quality, and increasing the sustainable growth of farmers’ income. The main contribution of this study is to expand the research scope of green and low-carbon agriculture to ethnic minorities and mountainous agricultural areas.

Factors Affecting the Digital Readiness and Adoption of Digital Marketing of Vegetable Farmers in CALABARZON, Philippines

Purpose - The paper analyzed the factors affecting the digital readiness and adoption of digital marketing by vegetable farmers in CALABARZON, Philippines. It assessed knowledge on different digital marketing technologies, evaluated access to and use of digital devices and marketing platform, and determined the cost of digital marketing adoption. Design/Methodology/Approach - A total of 773 vegetable farmers were selected using disproportionate stratified random sampling, and then personally interviewed. Adapting the methodologies of Horrigan (2016) and Roberts and Hernandez (2019), farmers were categorized based on digital readiness. Correlation and Probit analyses were performed to determine the factors affecting digital readiness and adoption of digital marketing. Findings - Results revealed the following: unprepared (0.33%), traditional (14.49%), reluctant (25.00%), cautious clickers (53.33%), and digitally ready (6.85%). Only 14 percent were digital platform users; the most common gadget used was mobile phone, and while home Wi-Fi and cellular data were the most popular connections, they were still unstable. Adoption of digital marketing lessened vegetable marketing cost. Those single with a higher level of education, household income, and larger household had higher digital readiness level. Digital marketing adoption was positively affected by level of education and digital readiness, but the cost of adoption had negative effect. Research Implications - The results suggest the implementation of location- and readiness level-specific training and digital literacy programs; improvement of Internet infrastructure in major producing areas; and the provision of institutional support to prevent scam and fraudulent transactions to enhance the digital readiness and adoption of digital marketing by farmers.

Socioeconomic inequalities in deaths of despair: Age heterogeneity in Canada's working age population

PurposeAlthough prior literature documented socioeconomic inequalities in deaths of despair among working age population, it is unclear whether and how (a) the link between socioeconomic status and deaths of despair differs by age (b) each measure of socioeconomic status has independent effects on deaths of despair. This study aims to reduce these knowledge gaps. MethodsUsing data from a large scale nationally representative linked dataset (2011 Canadian Census Health and Environment Cohorts), this study employed Fine-Gray subdistribution hazard models to estimate the link between socioeconomic status and deaths of despair due to suicide, drug overdose, and alcoholic liver disease among working age population (N = 4,076,530). Age stratified analysis was conducted to examine age heterogeneity. ResultsSocioeconomic status, such as housing tenure, employment status, household income, and education level, was associated with deaths of despair among working age population. Age differences in the association between socioeconomic status and deaths of despair were found. While education level was pronounced for deaths of despair for younger adults, a combination of socioeconomic status was significantly associated with deaths of despair for those in late adulthood. ConclusionsSocioeconomic inequalities in deaths of despair are manifest among Canadian working age population. This study lends support the social and health policies aimed at reducing gaps in mortalities.

Impact of income diversification on multidimensional poverty: Household level evidence from tea estates in Bangladesh

Policy advocates commonly use income diversification strategies worldwide to address economic disturbances such as poverty. Realizing the importance of poverty reduction and the raging debate on whether the household should specialize or diversify their income, this study attempts to investigate the poverty and income diversification nexus in a tea estate of Bangladesh. A multistage sampling procedure was applied to select 1 tea estate and 382 households. Primary data was collected through interview schedule. The Simpson diversification index and Alkire-Foster multidimensional poverty index were used to measure income diversification and multidimensional poverty respectively. Additionally, this paper used the propensity score matching method to assess the causal impact of income diversification on multidimensional poverty. The findings revealed that the research area has a 35% household level income diversity, a 43% household level multidimensional poverty rate, and income diversification has a positive impact on multidimensional poverty reduction. The multidimensional poverty was reduced by 0.095% on average for income diversified households. Therefore, from a policy perspective, income diversification can be a good solution for reducing household-level multidimensional poverty. Government and other stakeholders should redesign working guidelines for tea workers regarding working hour, days and wage in such a way that they can engage in several income-generating activities apart from tea production-related activities in the tea estates.

Impact of household income on the risk of overweight and obesity over time among preschool-aged children: a population-based cohort study

BackgroundThe temporality of household income level with overweight/obesity in children has not been extensively studied. Little research has been conducted to determine the impact of household income on the risk of childhood overweight/obesity over time. This population-based cohort study aimed to investigate the impact of household income on the risk of overweight/obesity over time among preschool-aged children in Taiwan.MethodsFrom 2009 to 2018, we recruited 1,482 preschool-aged children ( ≦ 7 y of age) from low-income households and selected age- and sex-matched controls from non-low-income households for comparison; All participants were selected from those who consistently participated in the Taipei Child Development Screening Program and were monitored for overweight/obesity using body mass index (BMI) until December 31, 2018. Low-income households were defined as those with an average monthly disposable income < 60% of the minimum standard of living expense in Taiwan. The primary outcome was childhood overweight or obesity in study participants, defined as BMI (kg/m2) ≥ 85th percentile or ≥ 95th percentile, respectively. The generalized estimating equations (GEE) model was used to determine the impact of low-income households on the risk of overweight/obesity in study participants.ResultsOver 21,450 person-years of follow-up, 1,782 participants developed overweight /obesity, including 452 (30.5%) and 1,330 (22.4%) children from low- and non-low-income households, respectively. The GEE model showed that the first group had a significantly higher risk of becoming overweight/obese than the other during the follow-up period (adjusted odds ratio [aOR] = 1.44, 95% CI: 1.29–1.60). Moreover, children of foreign mothers had a higher risk of becoming overweight/obese than those of Taiwanese mothers during the follow-up period (aOR = 1.51, 95% CI: 1.24–1.8). The subgroup analysis revealed a significant association between low-income households and an increased risk of overweight/obesity in children aged 2–7 years (P =.01). However, this association was not observed in children aged 0–1 years (P >.999).ConclusionsDuring the follow-up period, there was a notable correlation between low-income households and an increased risk of preschool-aged children developing overweight or obesity. Implementing health promotion initiatives aimed at reducing overweight and obesity in this demographic is crucial.

Economic Simulation of Central Java: Indonesia’s Province-Based IRIO Analysis

This study simulates increased sectoral investment in the economy of Central Java Province, Indonesia. Using output and household income indicators, several policy scenarios are applied to Indonesia's interregional input-output (IRIO) tables, including green economic scenarios. The aim of this research is to identify the most impactful policy on the economy of Central Java based on the results of investment policy simulations. Investment injections are conducted in production sectors within Central Java and in sectors outside the province. By assessing the direct, indirect and induced effects on economic sectors and households, cross-sectoral insights for regional development policies, the simulation results show that the Central Java economy experiences the best impact in terms of sectoral household output and income levels. In IRIO analysis, this impact is seen as a multiplier effect from sectors within and beyond Central Java. The findings imply that policies focused on local sector development will generate the highest income levels and largest output multiplier for Central Java given the existing economic conditions, while green economic policies do not have insignificant economic impacts compared to non-green policies. It is crucial to develop additional policy scenarios targeting both local and non-local industries to obtain more sensitive simulation results.

Quality of life, household income, and dietary habits are associated with the risk of sarcopenia among the Chinese elderly

BackgroundHealth-related quality of life (HRQoL), which can be influenced by various aspects, especially socioeconomic status and lifestyle, has been identified as an important predictor of the prognosis of older adults. Dietary habit, a major part of lifestyle, can affect the nutritional status, which is closely correlated with the development of geriatric syndromes in the elderly.AimsThe aim of the study was to examine the association of HRQoL, socioeconomic status, and lifestyle with the risk and severity of sarcopenia, a geriatric syndrome characterized by progressive loss of skeletal muscle mass, strength and function.MethodsA cross-sectional retrospective study with 2877 participants aged ≥65 years was performed. HRQoL was assessed using EuroQoL Five Dimensions questionnaire. Socioeconomic status was assessed by the educational attainment, occupation, and household income. Lifestyle was assessed using 12 items closely related to Chinese living habits. The information of daily dietary habits including tea, alcohol, type of diet, and volume of drinking water were collected. The associations of HRQoL, socioeconomic status, and lifestyle with the risk of sarcopenia were examined by multivariate regression logistical analysis. The potential causal role of age, body mass index, and waist circumference in the effect of HRQoL on sarcopenia risk was analyzed by causal mediation analysis.ResultsHigh HRQoL [adjusted odds ratio (OR) =0.85, 95% confidence interval (CI) =0.69–0.95, P=0.034] and household income levels (adjusted OR =0.74, 95% CI =0.57–0.95, P=0.019) were inversely associated with the risk of sarcopenia. Meanwhile, more consumption of spicy food (adjusted OR =1.34, 95% CI =1.09–1.81, P =0.037) and occasionally drinking (adjusted OR =1.46, 95% CI =1.07–2.00, P =0.016, as compared to those never drinking) were associated with higher risk of sarcopenia, while skipping breakfast occasionally (adjusted OR =0.37, 95% CI =0.21–0.64, P <0.001, as compared to those eating breakfast every day) and less consumption of salt (adjusted OR =0.71, 95% CI =0.52–0.96, P =0.026, as compared to those consuming high amount of salt) were associated with lower risk of sarcopenia. Further causal mediation analysis aimed to explore how much age, body mass index, and waist circumference might explain the effect of HRQoL on the risk of sarcopenia showed that the estimated proportion that mediated the effect of HRQoL on the risk of sarcopenia by age was 28.0%.ConclusionsIn summary, our findings demonstrate that low levels of HRQoL and household income, more intake of salt and spicy food, and occasional intake of alcohol are correlated with higher risk of sarcopenia, while skipping breakfast occasionally is associated with lower risk of sarcopenia in a Chinese population of older adults.

Public Financing of Health and Accessibility to Household Care in Kinshasa

This paper looks at public financinghealth and accessibility of health care for Kinshasa households in the Democratic Republic of Congo. Low funding for the health sector as well as household income levels hamper access to appropriate health care given the high costs. This results in an essential intervention by public authorities and their external technical and financial partners in the health sector in order to guarantee health coverage for vulnerable households against ruinous expenses. He draws upat the same time an inventory of public finances in the health sector in the DRC using a theoretical approach. And yearanalysis by aLogit model the level of accessibility to health care. This analysis is carried out by postulating the constancy of the socio-economic environment “all other things being equal”. It results from our analysis that public financing does not significantly impact household access to quality health care in Kinshasa, given that the majority of our respondents believe that the State must increase financial resources for health, the chi-square is 0.007. Thus we affirm our hypotheses

Presumed Competent: The Strategic Adaptation of Asian Americans in Education and the Labor Market

Presumed competent, Asian Americans exhibit the highest level of education and median household income of all major US ethnoracial groups. On average, they outpace all groups in the domain of education, yet they do not maintain their advantage in the labor market. The question of bias against Asian Americans has taken center stage in the most recent US Supreme Court ruling on affirmative action, but the attention has been on university admissions. We broaden the focus and rewrite the question to consider how Asian Americans seek to preempt bias in the labor market by strategically adapting to mitigate it. Strategic adaptation begins with precollege education, continues with college choice and major, and entails acquiring elite credentials that signal hard skills and merit. The strategy falls short of obviating bias altogether, however. We show how Asian Americans’ labor market earnings and mobility vary by gender, nativity, national origin, place of education, and field of study.