Capita Household Research Articles

Prevalence and related factors of visual disability, hearing disability and comorbidity of visual and hearing disability among the elderly in China

Objective: To estimate the prevalence of visual disability, hearing disability and comorbidity of visual and hearing disability among the elderly in China, and explore the related factors of comorbidity of visual and hearing disability in the elderly. Methods: This was a cross-sectional study. Based on the Second China National Sample Survey on Disability in 2006, the data of the elderly with visual and hearing disability were extracted and combined for descriptive analysis. Meanwhile, multivariate logistic regression model was used to analyze the related factors of comorbidity of visual and hearing disability among the elderly. Results: A total of 250 752 cases were in the final analysis (119 120 males and 131 632 females), and there were 164 003, 74 156 and 12 593 cases with the age of 65-<75, 75-<85 and ≥ 85 years, respectively. The prevalence of visual disability and hearing disability of the elderly in China was 8.10% (95%CI: 8.00%-8.21%), 13.41% (95%CI: 13.29%-13.54%), respectively, while the prevalence of comorbidity of visual and hearing disability was 1.97% (95%CI: 1.92%-2.02%). The severity of disability of the elderly with comorbidity of visual and hearing disability was higher, and the percentage of mild disabilities (18.31%, 966/5 277) was lower than those with visual (53.06%, 11 208/21 123) or hearing disabilities (32.96%, 11 536/34 995). Moreover, 19.40% (1 024/5 277) of visual or hearing disability occurred in the same year. Multivariate logistic regression analysis showed that education level below primary school (OR=0.65, 95%CI: 0.61-0.70, P<0.001), having a spouse (OR=0.68, 95%CI: 0.64-0.72, P<0.001), living in an urban area (OR=0.77, 95%CI: 0.71-0.82, P<0.001) and having a per capita household income higher than the national average (OR=0.73, 95%CI: 0.68-0.78, P<0.001) were protective factors for comorbidity of visual and hearing disability among the elderly. Conclusions: Visual disability is correlated with hearing disability in the elderly. Attention should be paid to the prevention and control of associated disabilities such as visual and hearing co-disabilities in the elderly population, with emphasis on strengthening publicity and education on prevention and control of visual and hearing disabilities for the elderly who are economically disadvantaged, have no spouse and live in remote areas.

Does Inequality in Landownership Contribute To Inequality in Education Attainment? Empirical Evidence From Kenya

An inverse relationship is found across countries between unequal landownership and education attainment. Since Kenya exhibits inequalities in landownership and education attainment across and within counties, households and gender, is there any relationship between the observed inequalities? Using data from the Kenya Integrated Household Budget Survey and the Kenya Population and Housing Census, the study applies fractional IV and IV-Two Stage Least Squares (2SLS) regression methods to examine whether the Gini of landownership influences the Gini of education attainment across counties, and the determinants of education attainment in Kenya. The evidence generated does not support the strong relationship between landownership inequality and inequality in education previously documented. Government financing of free education, coupled with bursaries, muffle the relationship. Inequality in education attainment across counties is likely due to county disparities in household size, income, urbanization rate, and participation in highlevel public employment. An increase in average per capita household expenditure, or urban population, also reduce the probability of inequality in primary as well as secondary education attainment in a county. Government financing of education and policies that promote urbanization, enhance quality of families, and increase highlevel participation in government reduce any effect that landownership inequality could have on education attainment.&#x0D; JEL Classification: I24; C21; C26; D13; Q15; R20.

Impact of Digital Financial Inclusion on Residents’ Income and Income Structure

Digital financial inclusion (DFI) plays an increasingly important role in raising residents’ income levels and optimizing income structures. Using data from the 2015–2019 China Household Finance Survey (CHFS), this paper examines the impact of DFI on residents’ income and income structure from a microeconomic perspective using OLS fixed effects models and panel Tobit models. It was found that (1) DFI significantly raises residents’ income, increasing their total annual per capita household income by CNY4200, and increasing their annual per capita household wage income, business income and property income by CNY2430, CNY1030, and CNY450, respectively. In terms of different functions of DFI, the use of digital payment, digital lending and digital financing can raise the annual per capita household income of residents by CNY4250, CNY10,360 and CNY3050, respectively. (2) DFI increases wage income by enhancing residents’ household employment level, increases business income by promoting residents’ entrepreneurship, and increases property income by improving the financial market participation. (3) DFI has a more significant effect on increasing income for higher income groups as well as rural residents. The findings of this paper provide theoretical and practical support for optimizing the design of financial inclusion policies and exploring new drivers of income growth for residents.

The impact of medical financial assistance on healthcare expenses and the medical financial burden: Evidence from rural China.

The medical financial burden has become a key limitation to accessing healthcare in rural areas of China as healthcare expenses continue to rise. To ensure that low-income people have access to basic healthcare services, China has implemented medical financial assistance (MFA) policy, which provides social health insurance and medical cash assistance for low-income people. Using data from the 2014 China Family Panel Studies (CFPS), the propensity score matching (PSM) method was applied to estimate the impact of MFA on healthcare expenses and the medical financial burden. Empirical results showed that the total annual healthcare expenditure of MFA beneficiaries is significantly higher than that of non-beneficiaries after matching. Although low-income individuals are now covered by MFA, neither the out-of-pocket expenditure to per capita household non-food expenditure ratio nor the likelihood of catastrophic healthcare expenditure (CHE) decrease significantly. Medical financial assistance (MFA) has reduced the inequality in healthcare utilization to a certain extent by improving access to healthcare for low-income people. However, people with low income still face a heavy medical financial burden even when they are covered by MFA. Policymakers should pay attention to raising the standards of MFA in rural areas and providing higher subsidies for the reasonable healthcare expenditures of low-income people.

A national cross-sectional study on the influencing factors of low HPV vaccination coverage in mainland China.

HPV vaccine can block the infection of high-risk human papillomavirus and is an important measure to effectively reduce the incidence of cervical cancer and precancerous lesions. However, the HPV vaccination rate is still low in China. There are many factors. Therefore, it is important to study the influencing factors to provide basis for promoting the formulation of vaccination strategies. This study used a multi-stage sampling method to conduct a face-to-face questionnaire survey on women in different regions of China. The new general self-efficacy scale was used to measure the self-efficacy of the respondents. The short form of family health scale measured their family health. The t-test and binary Logistic regression analysis were used to screen the influencing factors of HPV vaccination. Restricted cubic spline model was used to analyze the influence trend of self-efficacy and family health on HPV vaccination rate. (1) The HPV vaccination rate was low, especially in the ≤18 group. The place of residence, capita household income/month, individual self-efficacy and family health had a significant impact on HPV vaccination. (2) The restricted cubic spline model showed that self-efficacy positively promoted HPV vaccination, the correlation strength was statistically significant (χ2 =27.64, P<0.001) and non-linear (χ2 = 12.49, P = 0.0004); The poor family health hindered HPV vaccination, and the association strength was statistically significant (χ2 = 47.81, P < 0.001) and non-linear (χ2 = 9.96, P = 0.0016). It is necessary to strengthen the health education of HPV vaccination knowledge in the population to eliminate the hesitancy of vaccination. Free HPV vaccination strategies should be developed and encourage people of appropriate age to receive as early as possible. Self-efficacy and family health should be enhanced to increase HPV vaccination rate, so as to achieve the goal of reducing the incidence of cervical cancer and protecting women's health.

Adesão à dieta EAT-Lancet e sua relação com insegurança alimentar e renda em uma amostra de base populacional brasileira

Abstract: This study aimed to investigate the relation of adherence to the planetary diet with food and nutrition security status and per capita household income in a study with a representative sample of the Brazilian population. Among the data from the 2017-2018 Brazilian Household Budgets Survey (POF), the inequality indicators selected for the analysis were data on per capita household income and food and nutrition security. We also considered data on the individual food consumption of 46,164 Brazilians aged ≥ 10 years, obtained through 24-hour dietary recalls, in the National Food Survey, conducted with the POF 2017-2018. The Planetary Health Diet Index (PHDI) was used to measure adherence to the planetary diet. Sociodemographic data were expressed as frequency (%), with analysis of the mean and 95% confidence interval (95%CI) of the PHDI score. The relation of food and nutrition security and income with the PHDI score was tested in multiple linear regression models. The calculations were performed in the Stata software, adopting a 5% significance. Lower PHDI means were observed among food insecure individuals, male, &lt; 20 years old, mixed-race and indigenous, with income &lt; 0.5 minimum wage, residing in rural areas and in the North and Northeast regions. In the multiple linear regression, food insecurity was inversely related to PHDI score (ꞵ = -0.56; 95%CI: -1.06; -0.06), with the lowest scores associated with severe food insecurity (β = -1.31; 95%CI: -2.19; -0.55). Income categories were not independently associated to PHDI score (p-trend = 0.900). Therefore, food insecurity has been shown to negatively affect Brazilians’ adherence to the planetary diet.

Intra-urban spatial variability of breast and cervical cancer mortality in the city of São Paulo: analysis of associated factors.

To identify spatial variability of mortality from breast and cervical cancer and to assess factors associated in the city of São Paulo. Between 2009 and 2016, 10,124 deaths from breast cancer and 2,116 deaths from cervical cancer were recorded in the Mortality Information System among women aged 20 years and over. The records were geocoded by address of residence and grouped according to Primary Health Care coverage areas. A spatial regression modeling was put together using the Bayesian approach with a Besag-York-Mollié structure to verify the association of deaths with selected indicators. Mortality rates from these types of cancer showed inverse spatial patterns. These variables were associated with breast cancer mortality: travel time between one and two hours to work (RR - relative risk: 0.97; 95%CI - credible interval: 0.93-1.00); women being the head of the household (RR 0.97; 95%CI 0.94-0.99) and deaths from breast cancer in private health institutions (RR 1.04; 95%CI 1.00-1.07). The following variables were associated with mortality from cervical cancer: travel time to work between half an hour and one hour (RR 0.92; 95%CI 0.87-0.98); per capita household income of up to 3 minimum wages (RR 1.27; 95%CI 1.18-1.37) and ratio of children under one year of age related to the female population aged 15 to 49 years (RR 1.09; 95%CI 1.01-1.18). The predicted RR for mortality from these cancers were calculated and associated with the socioeconomic conditions of the areas covered.

Adherence to the EAT-Lancet diet and its relation with food insecurity and income in a Brazilian population-based sample.

This study aimed to investigate the relation of adherence to the planetary diet with food and nutrition security status and per capita household income in a study with a representative sample of the Brazilian population. Among the data from the 2017-2018 Brazilian Household Budgets Survey (POF), the inequality indicators selected for the analysis were data on per capita household income and food and nutrition security. We also considered data on the individual food consumption of 46,164 Brazilians aged ≥ 10 years, obtained through 24-hour dietary recalls, in the National Food Survey, conducted with the POF 2017-2018. The Planetary Health Diet Index (PHDI) was used to measure adherence to the planetary diet. Sociodemographic data were expressed as frequency (%), with analysis of the mean and 95% confidence interval (95%CI) of the PHDI score. The relation of food and nutrition security and income with the PHDI score was tested in multiple linear regression models. The calculations were performed in the Stata software, adopting a 5% significance. Lower PHDI means were observed among food insecure individuals, male, < 20 years old, mixed-race and indigenous, with income < 0.5 minimum wage, residing in rural areas and in the North and Northeast regions. In the multiple linear regression, food insecurity was inversely related to PHDI score (ꞵ = -0.56; 95%CI: -1.06; -0.06), with the lowest scores associated with severe food insecurity (β = -1.31; 95%CI: -2.19; -0.55). Income categories were not independently associated to PHDI score (p-trend = 0.900). Therefore, food insecurity has been shown to negatively affect Brazilians' adherence to the planetary diet.

Variabilidade espacial intraurbana da mortalidade por câncer de mama e do colo do útero no município de São Paulo: análise dos fatores associados

ABSTRACT Objective: To identify spatial variability of mortality from breast and cervical cancer and to assess factors associated in the city of São Paulo. Methods: Between 2009 and 2016, 10,124 deaths from breast cancer and 2,116 deaths from cervical cancer were recorded in the Mortality Information System among women aged 20 years and over. The records were geocoded by address of residence and grouped according to Primary Health Care coverage areas. A spatial regression modeling was put together using the Bayesian approach with a Besag-York-Mollié structure to verify the association of deaths with selected indicators. Results: Mortality rates from these types of cancer showed inverse spatial patterns. These variables were associated with breast cancer mortality: travel time between one and two hours to work (RR – relative risk: 0.97; 95%CI – credible interval: 0.93–1.00); women being the head of the household (RR 0.97; 95%CI 0.94–0.99) and deaths from breast cancer in private health institutions (RR 1.04; 95%CI 1.00–1.07). The following variables were associated with mortality from cervical cancer: travel time to work between half an hour and one hour (RR 0.92; 95%CI 0.87–0.98); per capita household income of up to 3 minimum wages (RR 1.27; 95%CI 1.18–1.37) and ratio of children under one year of age related to the female population aged 15 to 49 years (RR 1.09; 95%CI 1.01–1.18). Conclusion: The predicted RR for mortality from these cancers were calculated and associated with the socioeconomic conditions of the areas covered.

DEFINING EXTREME HARDSHIP TO DETERMINE ELIGIBILITY TO WELFARE AID: THE SHIFT FROM HOUSEHOLD INCOME MEASUREMENT TO MEANS TESTING

This paper discusses extreme hardship as an economic eligibility requirement to the welfare aid set forth in Article 20, paragraph 3, of Law nº 8.742/1993. The analysis is based on criteria that go beyond the measurement of monthly per capita household income and adopts a deductive approach to scrutinize the literature, legislation and case law on the subject. The paper maps out the development of the relevant cases and provides insight into the precedents laid down by the Federal Supreme Court. The problems posed by the subsidiary nature of the benefit are also taken into account. All in all, monthly per capita household income not being an accurate indicator of extreme hardship, the means test should be adopted.

Food insecurity in households with persons with disabilities in a situation of extreme vulnerability in Brazil: a secondary cross-sectional analysis

Inequities in access to education, work and health care are striking among persons with disabilities, making this population more vulnerable to poverty, lack of access to basic services and violation of rights such as access to food. Household food insecurity (HFI), marked by precarious income, has increased among persons with disabilities. In Brazil, the Continuous Cash Benefit (In Portuguese, Benefício de Prestação Continuada - BPC) is the guarantee of a minimum wage for persons with disabilities as a measure to promote social security and access to income in a situation of extreme poverty. Thus, the objective of this study was to assess HFI among persons with disabilities in extreme poverty in Brazil. A cross-sectional study with national representation was carried out with data from the 2017/2018 Family Budget Survey, with moderate and severe food insecurity as the dependent variable, and the situation of food insecurity measured using the Brazilian Food Insecurity Scale. Prevalence and odds ratio estimates were generated with 99% confidence intervals. Approximately 25% of households experienced HFI, with a higher prevalence in the North Region (41%), receiving up to 1 income quintile (36.6%), with a female (26.2%) and black person (31%) as a reference. The analysis model found that region, per capita household income, and social benefits received in the household were statistically significant factors. The BPC proved to be an important source of household income for persons with disabilities living in extreme poverty in Brazil: in almost three-quarters of the households, it was the only social benefit received, and, for most of them, it represented more than half of the total household income. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Income Improves Subjective Well-Being: Evidence from South Africa

This paper estimates the causal impact of income on life satisfaction for a broad sample of individuals in a developing country. Using a large and representative panel survey of South African residents, we find that receipt of the Older Person’s Grant—a means-tested cash transfer that is given to residents age 60 and older regardless of labor force status—increases several household-level measures of economic well-being, resulting in a large and significant increase in subjective well-being. Specifically, the average 20% increase in per capita household income due to this grant increases life satisfaction by approximately 0.2 points, a large effect that extends to all members of the household. The discontinuity in the eligibility of the Older Person’s Grant provides a reliable causal estimate of the effect of income on life satisfaction that is larger than ordinary least squares estimates.

Influencing Factors of Direct Carbon Emissions of Households in Urban Villages in Guangzhou, China.

China's household energy consumption has obvious regional differences, and rising income levels and urbanization have changed the ability of households to make energy consumption choices. In this paper, we analyze the energy consumption characteristics of urban village residents based on microlevel household survey data from urban villages in Guangzhou, China. Then, the results of modeling the material flows of per capita carbon emissions show the most dominant type of energy consumption. OLS is applied to analyze the influencing factors of carbon emissions. We find that the per capita household carbon emissions in urban villages are 722.7 kg/household.year, and the average household carbon emissions are 2820.57 kg/household.year. We also find that household characteristics, household size, household appliance numbers, and carbon emissions have a significant positive correlation, while income has no significant effect on carbon emissions. What is more, the size and age of the house have a positive impact on carbon emissions. Otherwise, the new finding is the demonstration that income is not significantly correlated with household carbon emissions, which is consistent with the characteristics of urban villages described earlier. On the basis of this study, we propose more specific recommendations regarding household energy carbon emissions in urban villages.

Determinants of rural poverty in Kwara State, Nigeria

An increasing number of rural communities are experiencing persistently high poverty rates. The study therefore examined the determinants of rural poverty in Kwara State. A three-staged random sampling technique was used to select one hundred and fifty (150) respondents while data was collected using structured questionnaires. The data generated from the survey were analyzed using Descriptive statistics, Foster Greer and Thorbecke approach and Logistic regression model. The result of the descriptive analysis shows that most of the rural households were headed by males (80%), majority (81.33%) were married, and had a mean age of 53.60 years with majority (86.67%) of them not having access to credit facilities. The average monthly income of the respondents in the study area stood at ₦37193.33 while the mean per capita household expenditure was ₦17008.25 per month. The poverty status at household level revealed that 56% of the rural households are poor while 44% are not poor. The determinants of household poverty revealed that household size (p&lt;0.01) is a positive and significant predictor of the probability of being poor while access to credit (p&lt;0.1) and per capita income (p&lt;0.05) are negative and significant predictors of the probability of being poor. Gender, marital status, educational status, and age of household head are non-significant predictors of the probability of being poor. It was therefore recommended that quality credit accessibility and participation in skills acquisition programmes through diversification should be encouraged due to their capability of improving the household income of the poor.

Multimorbidity developmental trajectory among middle-aged and older adults and its impact on new-onset disability in China

Objective: To explore the developmental trajectory of multimorbidity and its impact on new-onset disability to identify homogeneous groups with similar multimorbidity developmental courses and to provide evidence for interventions for disability risk among middle-aged and older adults in China. Methods: Data was retrospectively collected from China Health and Retirement Longitudinal Study with four consecutive surveys (2011-2018). Group-based trajectory modeling was used to fit multimorbidity developmental trajectories, and the impact of multimorbidity trajectories on new-onset disability was analyzed using the time-dependent Cox regression model. Results: A total of 8 580 participants were included in current analysis, and four multimorbidity trajectories were identified: no multimorbidity (n=2 136, 24.90%), newly-developing (n=3 758, 43.80%), moderate-developing (n=2 270, 26.45%) and severe-developing (n=416, 4.85%). Participants who belong to moderate-developing and severe-developing tended to be female, single, overweight or obese, live in rural areas, have poorer self-rated health and high levels of annual per capita household expenditure, and developed a new-onset disability. After adjusting for demographic and behavioral covariates, compared to the newly-developing, the severe-developing(HR=3.132, 95%CI:1.884-5.207) had the highest risk of disability, followed by the moderate- developing (HR=1.400, 95%CI:1.026-1.909) and the risk for the no multimorbidity (HR=0.631, 95%CI:0.424-0.938) was the lowest. Conclusions: There was great heterogeneity in the developmental trajectory of multimorbidity among middle-aged and older adults in China. Data showed that the risk of disability in the developmental trajectory of multimorbidity increases with increasing levels. We think that the elevating developmental trajectory of multimorbidity is a risk factor for developing disability.

Association of childhood threat and deprivation with depressive symptoms and the moderating role of current economic status among middle-aged and older adults in China.

To investigate the independent impact of threat-related and deprivation-related adverse childhood experiences (ACEs) on depressive symptoms among middle-aged and older adults, and to evaluate the moderating role of current economic status in these associations. This cross-sectional study included 11,048 participants aged ≥ 45years from the China Health and Retirement Longitudinal Study. We captured five threat-related ACEs and five deprivation-related ACEs by questionnaires. Depressive symptoms were assessed using the 10-item Centre for Epidemiological Studies Depression Scale. Current economic status was reflected by annual per capita household consumption expenditure. We performed logistic regression analyses to evaluate the independent association of childhood threat and deprivation with depressive symptoms, and conducted stratified analyses and tests for interaction to explore the moderation effect of current economic status in such associations. Compared with the nonexposed group, the experience of both childhood threat and deprivation were independently associated with greater risks of depressive symptoms later in life (odds ratio [OR] 1.75, 95% CI 1.49-2.05 for ≥ 2 threat-related ACEs; OR 2.02, 95% CI 1.67-2.43 for ≥ 2 deprivation-related ACEs). High current economic status significantly ameliorated the impact of childhood deprivation, but not threat, on depressive symptoms (P value for interaction 0.038). Both threat-related and deprivation-related ACEs were associated with the risk of depressive symptoms among middle-aged and older adults, while current economic status was a significant moderator in such risks only for childhood deprivation. The findings implied that prioritising targeted interventions for individuals with ACEs, especially for childhood deprivation victims who were economically disadvantaged in adulthood, may help mitigate depressive symptoms in later life.

Implications of sanitation for rural resident health: Evidence and mechanisms

This paper uses field survey data from rural areas of Liaoning Province, China to investigate the relationship between sanitation and the health of rural residents. The results show that the use of traditional latrine pits is significantly negatively correlated with the health of rural residents. Robustness tests using Propensity Score Matching (PSM) further demonstrate the consistency of the results. Further research suggests that traditional latrine pits may affect the health of rural residents indirectly through the poor eating habits of rural residents and by polluting drinking water sources. Using the Life satisfaction approach method, this study concludes that the health value of flush toilets in the sample area accounts for 98% of annual per capita household income.

Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China.

Analyzing cultivated land input behavior (CLIB) at the scale of rural households links with cultivated land-use efficiency (CLUE), this study examined the Yimeng Mountain area in northern China, supported by field survey data from 737 rural households. This research systematically analyzed the characteristics of CLIB of different types of rural households, measured the CLUE of different types of rural households by using a data envelopment analysis (DEA) model, and explored the influence of CLIB on CLUE based on the Tobit regression model. The results show (1) significant differences in the characteristics of the CLIB of different types of rural households in the Yimeng Mountain area. Among them, the highest land, labor, and capital inputs were I part-time rural households (I PTRH), followed by full-time rural households (FTRH). In contrast, II part-time rural households (II PTRH) and non-agricultural rural households (NARH) had higher levels of non-agricultural employment; however, their input levels gradually declined. (2) The CLUE of the sample rural households was generally low and had considerable potential for improvement. Regarding the types of rural households, as the degree of part-time employment increased, the CLUE showed an inverted U-shaped trend of first increased and then decreased, namely, I PTRH > FTRH > II PTRH > NARH. This finding indicates that appropriate part-time employment could help to promote investment in agricultural production and improve the CLUE. (3) The CLIB of rural households had significant effects on CLUE; the literacy of the agricultural labor force, yield-increasing input per unit area, per capita household income, share of agricultural income, operation scale of cultivated land, effective irrigation rate of cultivated land, and soil and water conservation rate of cultivated land had positive effects on improving CLUE. Even so, there was still significant heterogeneity in the degree of influence of different rural household types. The study concluded with some policy recommendations from the perspective of different rural household types to provide references for optimizing farming inputs and improving CLUE.

Tracking progress towards universal health coverage for essential health services in China, 2008–2018

IntroductionWe comprehensively evaluate whether the Chinese Government’s goal of ensuring Universal Health Coverage for essential health services has been achieved.MethodsWe used data from the 2008, 2013 and 2018 National Health...

Association between socio-economic factors and the risk of overweight and obesity among Chinese adults: a retrospective cross-sectional study from the China Health and Nutrition Survey

BackgroundWith the rising prevalence of obesity and overweight, increasing number of scholars paid attention to the negative effects on human health and life. Recent years, many studies have focused on the relation of socio-economic factors with the risk of overweight or obesity, but findings have been inconsistent. This study investigated the relationship between socio-economic factors and the risk of overweight and obesity among Chinese adults.MethodsThis study was based on the survey of the China Health and Nutrition Survey in 2015, with 9245 Chinese adults aged 18–65 years old. Overweight and obesity were assessed by physical measurements of weight, height, and waist circumference. Multiple logistic models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of the association.ResultsOverall, the prevalence rates of general obesity and abdominal obesity were 15.5% and 22.6%, respectively. We found that education and per capita household income were positively associated with overweight and obesity risk in men. However, the association between education and obesity status was negative in women [general obesity: OR = 0.64, 95% CI (0.50–0.81); abdominal obesity: OR = 0.62, 95% CI (0.51–0.76)]. Occupational status was only associated with general overweight in men.ConclusionsResults suggested that higher education and per capita household income were associated with an increased risk of overweight and obesity among Chinese men, whereas the associations were negative for women. We recommended that men with high levels of education and income, women with low levels of education, can engage in some physical activity, modify dietary, and adopt a new way of life to maintain their weight and general health.