Household Education Level Research Articles

How Do Household Income and Education Level Affect People’s Mental Health Conditions?

Many people during the pandemic reported for mental health issues, which became a societal issue when the number went up. This article mainly focuses on the relationships among people’s mental health, education level, age, gender, race, and household income during the pandemic from 2020 to 2021. The earlier researchers had findings before the pandemic, but we do not know whether the findings are suitable for the circumstances in the pandemic. This research is advocating for solving this issue. This article’s mediation model utilizes household income and education level as mediators for analyzing the data. Based on the data, the final results show that higher household income people, elderly people, white males, and people with higher education levels tend to have fewer mental health issues than others. The findings imply that inequalities among people indeed influence people’s emotions differently and can help the practitioners in the field balance the resources better.

Research on the Characteristics and Influencing Factors of Chinese Urban Households’ Electricity Consumption Efficiency

Improving energy efficiency is a key global policy goal for climate protection. Residential energy consumption has also increased rapidly with the acceleration of China’s urbanization process, there is still a lack of studies that deeply explore the microscopic urban household energy efficiency and the main determinants in China, although urban household energy efficiency has attracted the attention of many scholars. We use a two-step method to analyze the electricity consumption efficiency of Chinese urban households in 2014 and 2016, the changing characteristics of household electricity efficiency who live in two-bedroom houses are measured with data envelopment analysis (DEA) method in the first step and the driving factors of changes are analyzed with Tobit model in the second step. The results show that household electricity efficiency gained a small but significant improvement between 2014 and 2016. Household income, age, and education level of the head of household, and housing type are the main drivers of inefficiency. We also adopt robustness tests, such as Bootstrap truncated regression to find this effect still exists. This information can be used in activities such as subsidized energy-saving equipment, energy audits, and information campaigns that aimed at improving household electricity efficiency, thereby increasing their cost-effectiveness and minimizing electricity consumption.

COVID-19 Pandemic and Its Effects on Household Income in Malaysia during Lockdown

The goal of this study is to identify the most vulnerable socioeconomic group of people to the effects of the pandemic as well as to examine the socioeconomic group that is more likely to be affected, in terms of income loss, by the pandemic. The data were collected via online questionnaire to the 395 respondents in Malaysia. The dependent variable involved in this study was income loss while the predicted variables included were age, gender, gross household income, employment sector, residential environment, education level and status of ‘Bantuan Sara Hidup’ (BSH) one-off relief. By employing Multinomial Logit Regression (MLoR) analysis via IBM SPSS Statistics 24, the most significant predictor is employment sector (P = 0.000), where those who are business owner, self-employed and unemployed are the most susceptible to the income loss due to COVID-19. The finding indicated those who own business or self-employed were 4.098 times more likely to have their income decrease (P = 0.002) while the unemployed respondents were 6.725 times more likely to have their income decrease (P = 0.014) rather than no changes in income during the COVID-19 outbreak.

Relationship between physical activity and musculoskeletal disorders among low income housewives in Kuala Lumpur: A cross sectional study.

Housewives play a crucial role in their families’ and communities’ quality of life. However, musculoskeletal disorders are common among housewives due to housework and lack of physical activity. These musculoskeletal problems have been associated to leisure physical activity. As a result, the goal of this study was to determine the incidence of musculoskeletal problems and their association to physical activity among low-income women in Kuala Lumpur. A cross-sectional research was done among 82 housewives in Kuala Lumpur’s low-income housing area. Housewives were asked to fill out a sociodemographic questionnaire, a short version of the International Physical Activity Questionnaire (IPAQ), the Nordic Musculoskeletal Questionnaire (NMQ), and body mass index were measured by researcher. The total prevalence of musculoskeletal problems was found to be 89.0%, with the lowest frequency in the lower back (35%), followed by the knee (31%), ankle or foot (31%), and elbow (1% %). The subjects spent an average of 117.6 + 474.8 minutes per week on MVPA and 524 + 810.3 MET minutes per week on physical activity. A total of 88% of the participants had a low level of physical activity, 8.5 percent had a moderate level of activity, and 3.7% had a high level of activity. In a Chi-square test, there was no significant association between musculoskeletal problems and physical activity. The primary sociodemographic factors impacting musculoskeletal diseases were body mass index and household income, while the primary variables influencing physical activity were household income and education level, according to a logistic regression test. In a Poisson regression test, only body mass index had a significant relationship with number of musculoskeletal disorders. In conclusion, housewives are likely to suffer from musculoskeletal problems, with a high incidence in the lower back, knees, ankles, and feet, and the majority of them engage in little physical activity. Furthermore, the high percentage of musculoskeletal problems in this study varies with the findings of other research based on the type of housework done by housewives in low-cost housing areas. Future research should look at identifying the sorts of household tasks and positions employed, as well as the amount of hours spent on housework each week.

Determining the Unemployment Rate in Indonesia during the COVID-19 Pandemic

Unemployment is one of Indonesia's main economic development problems during the COVID-19 pandemic. This study aims to determine the chances of a person becoming unemployed in Indonesia during the COVID-19 pandemic, which individual and household characteristics influence. The data were collected from National Labour Force Survey (SAKERNAS) in August 2020. The data were analysed using a logistic regression model. The result proved that there was a significant opportunity between individual characteristics, namely age, gender, household head status, marital status, education level, training, work experience, and household characteristics, namely the number of household members, against unemployment. While the location of the household is not significant because this research was only conducted in the city centre so that with the same characteristics of the city in each region, the labour force living in the city is less likely to become unemployed. The coefficient value showed that women are more likely to become unemployed. Thus, the government is expected to focus on providing facilities to increase the human capital of the young female workforce, such as creating job training programs and mastering information and technology, given the changes in the digital age.

Racial disparities in pediatric malignant glioma management: current state of affairs in the United States.

The diagnosis of malignant glioma confers a poor prognosis in the pediatric population. In the adult demographic, racial disparities exist with respect to access to care and survival. Yet to date no efforts have been made to characterize racial disparities in the care of malignant pediatric gliomas. Correspondingly, the aim of this study was to understand if racial disparities exist in the setting of malignant pediatric gliomas. All pediatric malignant gliomas patients with known race status (White, Black, Other) in the US National Cancer Database (NCDB) between the years 2005-2016 were retrospectively reviewed. Demographic, socioeconomic and clinical data were then abstracted and analyzed by comparison and regression techniques. A total of 1803 pediatric malignant glioma cases were identified, with 48% female and a median age of 8years old. Brainstem locations were reported in 48% of cases. Socioeconomically, there were statistically significant differences with respect to insurance status, yearly income, household education level and metropolitan residences between the racial groups (all P < 0.01). With respect to treatment, there was statistical difference in the proportion of patients treated with surgical resection (White 43% vs Black 34% vs Other 37%, P = 0.02). There were no differences between race groups for radiation therapy (P = 0.73) or chemotherapy (P = 0.12). The odds of surgical resection were significantly less in the Black group compared to the White group (OR 0.69, P < 0.01), although there was no difference in overall survival between the two groups in those treated with (P = 0.44) or without (P = 0.27) surgical resection. Primary associations of surgical resection in the Black group were brainstem location (P < 0.05) and lower yearly household income quartiles (P < 0.05). Racial disparities exist amongst the management of pediatric malignant gliomas, with undefined impact on survival and quality of life. In this perspective, we identified associations between Black patients and access to surgical treatment. Understanding that there are many elements to patient care, including quality of life, should encourage all clinicians and carers to consider racial disparities appropriately when managing malignant pediatric glioma patients.

Livelihood Resilience Perception: Gender Equalisation of Resettlers from Rural Reservoirs—Empirical Evidence from China

Hydropower engineering has brought unprecedented benefits to the world while causing massive displacement of people. Since the implementation of the Post-Relocation Support (PReS) policy for reservoir resettlers in China in 2006, the distribution of perceived livelihood resilience by gender of resettlers has gradually become more equal. Based on data from a survey of rural reservoir resettlers’ livelihoods in nine regions of Guizhou Province, China, this data examines the distribution of resettlers’ perceived livelihood resilience across genders using logit regression and then explores the contribution to gender equality. The empirical results show that, unlike previous studies, household economic conditions do not bring about more gender differences in perceived livelihood resilience among resettlers (gender contribution ratio = 1.12). Gender differences in perceived livelihood resilience among resettlers were influenced by household workforce levels (e.g., gender contribution ratio = 1.23 at high workforce levels), education level (e.g., contribution ratio = 1.87 in primary education), and resettlement methods (e.g., contribution ratio = 4.53 at external resettlement). The implementation of the PReS policy also contributes to the gender equality of these resettlers’ perceived livelihood resilience. For rural resettlers in different regions with different livelihoods, resettlement patterns, capital, and gender differences of resettlers should be understood through different livelihood resilience perspectives. Improving capacity building of resettlers’ livelihoods resilience through site-specific, participatory development and resource interoperability to promote high quality, sustainable and simultaneous development in resettlement areas and reservoirs.

Intimate partner violence experienced by women living with-and without-disability in the European Union. A quantitative intersectional analysis.

This article aims to explore the specific combination and interactions of inequalities associated with experiencing Intimate Partner Violence that affects European women living with—or without—a disability. The analysis is based on the survey carried out by the European Union Agency for Fundamental Rights (FRA) between 2010 and 2012. In that survey, 42,002 women were interviewed, with a representative sample of women from each of the 28 countries of the European Union. We try to elucidate through a multiple logistic regression analysis if the experience of IPV is something that can simply be added to—or overlap with—social categories (feeling of household income, educational level, and marital status), the aggressor (partner abusing alcohol, partner violent against others), the relationship (duration, equal say in economic decisions), and the previous experience of IPV. The result of the analysis shows that living with a disability intersects with low income, which comes hand in hand with experiencing more violence. Other interactions like living with a disability when the woman is under 15 years and living with a disability and the partner abusing alcohol are also relevant. In terms of social policies, our result should induce investment in IPV prevention policies among poor women who live with a disability, who have a history of physical violence, and whose partners abuse alcohol.

Towards a Circular Economy Development for Household Used Cooking Oil in Guayaquil: Quantification, Characterization, Modeling, and Geographical Mapping

The objective of the present study was to quantify, geo-locate, model, and characterize domestic used cooking oil (dUCO) generation for the city of Guayaquil. For this reason, and as a prerequisite for the proper planning of municipal cooking oil waste management in the city, we carried out 14-day fieldwork involving 532 households from different parishes of Guayaquil, combined with a survey to acquire data on their demographic and socioeconomic statistics. The artisanal characterization was further executed to 40 subsamples of dUCO to determine the density, moisture, solids content, and the volatile-matter characteristics present. Additionally, the Geographic Information System (GIS) was used to map the used cooking oil generation hotspots for the city, adding the Geographical Position System (GPS) of each participating household during the data acquisition. Finally, a multiple-regression model was proposed to establish correlations between the dUCO generated and five independent variables, such as household size, socioeconomic group, tenure status, education level, and income. Results showed that the per capita daily dUCO-generation rate was found to be 4.30 g/day/c or 4.99 mL/day/c, with a density of 0.86 g/mL. Filterable solids represented 0.37% for the entire dUCO collected sample, while separable water and grease represented 1.58% and 0.014%, respectively. In addition, the percentage of the volatile matter was found to be 7.7% ± 2.1% of the filtered dUCO. Using GIS mapping, we found that the areas near tourism sites have a higher dUCO generation value, considering the household survey. Following the developed multiple-regression model developed, it was found that household size and the socioeconomic group have the maximum effect on generating used cooking oil.

Education and sustainable forest management in the mid-hills of Nepal

There are only limited policy levers that governments can use to facilitate sustainable development within remote rural communities. Often marginalised communities are almost uniquely dependent on the exploitation of local natural resources to generate livelihoods. We examine how formal education, both of household heads and more broadly across households, influences perceived opportunities for the conception, management and utilisation of community forests in the mid-hills of Nepal. As societies transition, more sophisticated economies will require education to facilitate effective natural resource management. New challenges are emerging for community forestry as a result. The quantitative socio-ecological data analysis suggests that while the roles of community forests are evolving, education is key to household participation in commercial opportunities. Formal education in the household is shown to be associated with a greater recognition of the importance of the commercialisation of forest timber and food products, and the desire to participate in further commercial forest activities. Education in the household also provides respondents with a more sophisticated understanding of new opportunities, ecosystem services and risks associated with the forest, and the abilities to actively manage the forest and influence planning. Formal education empowers people to become local experts in forest management and participate in new opportunities that forests provide. Any failure to examine household education levels may be neglecting key sociological data on the importance of education for sustainable development outcomes. In the rural margins of the mid-hills of Nepal there are opportunities for further aligning formal education with forestry policy.

The Adaptation of Export-Scale Urban Farmers Amid the COVID-19 Pandemic in Bandung Metropolitan

These days, urban agriculture is more than a hobby. It has expanded into a local commercial business, even to an export scale. However, urban farmers who have commercialized their products must adapt to the COVID-19 pandemic situation, which has impacted many aspects of global life. This research used a mixed-method approach. We collected quantitative data from 107 respondents on the household commercialization index, income level, and education level of export-scale-urban farmers in the Bandung metropolitan area, West Java, Indonesia. We also used qualitative data to determine how farmers were adapting to difficult situations due to the COVID-19 pandemic. This information was gathered through in-depth interviews, observation, and documentation. The results showed that the urban farmers continued to prioritize commercial agriculture during the COVID-19 pandemic. The urban farmers must adapt to the COVID-19 pandemic in various ways, beginning with market access, agricultural management, and strengthening financial resources. There are some conditions where adaptation methods adopted by farmers are not environmentally friendly because the farmers are increasingly dependent on synthetic inputs and use cold storage on open land. Thus, the farmers' adaptation steps to maintain export-scale commercial farming activities in the situation of the COVID-19 pandemic also affect intensive agricultural practices that are not environmentally friendly.

Evaluation of Obesity Trends Among US Adolescents by Socioeconomic Status, 1999-2018

This cross-sectional study uses data from the National Health and Nutrition Examination Surveys to evaluate obesity trends among US adolescents from 1999 to 2018, stratified by household income and head of household education level.

The role of the agricultural sector in Ghanaian development: a multiregional SAM-based analysis

Ghana shows remarkable differences in employment and welfare between the southern and northern regions. The promotion of policy focus on the development of the northern regions requires the elaboration of specific databases describing the regional economies. Hence, this work outlines the construction of a Social Accounting Matrix (SAM) for Ghana for the year 2015 with a high disaggregation of sectors, household income groups and education levels across 10 administrative regions. Linear multisectoral models have been applied to this SAM to estimate socio-economic impacts of potential final demand policies down to a regional level in the Ghanaian economy. Further on, the structural path analysis is used to investigate the role played by different agriculture commodities in transmitting income to different types of households. The results allow for an identification of the most suitable sectors to be promoted due to their ability to generate the highest increases in output, employment and value added in the rest of the economy, as well as those with a significant impact on household income generation. As a result, the primary sector will play a key role in the economic and employment growth of the country. Notably, sorghum and millet, pulses, tobacco, cotton and fibres can be considered favourable crops for development in the Northern region.

City-Level Determinants of Household CO2 Emissions per Person: An Empirical Study Based on a Large Survey in China

Studies have shown that household consumption accounts for more than 60% of global greenhouse gas (GHG) emissions. Reducing household CO2 emissions (HCEs) can help combat climate change globally and can provide a wide range of environmental, financial and public health benefits. Here, we present data from a large survey on 14,928 households in eighty-eight Chinese cities to investigate the spatial patterns in HCEs per person (PHCEs) and the drivers behind these patterns based on a multi-scale geographically weighted regression (MGWR) model. We found that higher PHCEs were mainly in northern cities with a severe and cold climate. Our findings suggest that PHCEs could be modeled as a function of household size, education level, income level, consumption tendency and HCEs intensity. HCEs intensity was identified as the most important determinant, and its effect increased from eastern cities to central and western cities in China. The quantification of city-level PHCEs and their drivers help policy makers to make fair and equitable GHG mitigation polices, and they help achieve many of the United Nations Sustainable Development Goals, including affordable and clean energy, sustainable cities and communities, and climate action.

Financial Literacy and Perceived Economic Outcomes

We explore the relationship between financial literacy and self-reported, reflective economic outcomes from respondents using survey data from the United States. Our dataset includes a large number of covariates from the National Financial Capability Study (NFCS), widely used by literacy researchers, and we use a new econometric technique developed by Hahn et al. (2018), designed specifically for causal inference from observational data, to test whether changes in financial literacy infer meaningful changes in self-perceived economic outcomes. We find a negative treatment parameter on financial literacy consistent with the recent work of Netemeyer et al. (2018) and contrary to the presumption in many empirical studies that associate standard financial outcome measures with financial literacy. We conclude with a discussion of heterogeneity of the financial literacy treatment effect on household income, gender, and education level sub-populations. Our findings on the relationship between financial literacy and reflective economic outcomes also raise questions about its importance to an individual’s financial well-being.

Fruit and Vegetable Consumption Among Infants and Toddlers By Eating Occasion in the United States, NHANES 2011–2018

ObjectivesTo describe nationally representative prevalence estimates of any fruit or vegetable consumption among US infants and toddlers during specific eating occasions.MethodsDay one dietary recall data from NHANES 2011–2018 were used to determine the prevalence of any fruit or vegetable consumption in infants and toddlers aged 6–23 months (N = 1,544). Intake was assessed for five eating occasions: breakfast, lunch, dinner, AM snack, and PM snack. To assess differences in intake by age, sex, race/ethnicity, head of household education level, and WIC eligibility, t-tests were used in SAS 9.4, accounting for complex survey design.ResultsOn a given day, 81.3% of infants and toddlers consumed any fruits or vegetables. Fewer 6–11-month-old (62.3%) infants ate any fruits or vegetables on a given day compared with 12–17-month (90.1%) and 18–23-month-old (93.6%) toddlers. Snack times had the lowest prevalence of any fruit or vegetable consumption (AM snack: 18.8%; PM snack: 40.5%). For all age groups, any consumption of fruits or vegetables increased throughout the day by main mealtime (breakfast: 46.4%; lunch: 59.6%; dinner: 66.6%). For main mealtimes, prevalence of any fruit or vegetable intake was lower in infants aged 6–11 months compared with toddlers aged 12–17 and 18–23 months (breakfast: 6–11 months, 33.0%, 12–17 months, 55.5%, 18–23 months, 52.0%; lunch: 6–11 months, 42.7%, 12–17 months, 68.5%, 18–23 months, 69.5%; dinner: 6–11 months, 47.5%, 12–18 months, 74.3%, 18–23 months, 80.2%). At breakfast, lunch, and dinner, the percentage of infants and toddlers who consumed any fruits or vegetables was higher among families in which the head of household had a college degree or above compared with less than a high school degree. Prevalence of fruit or vegetable intake was significantly lower for those who were eligible for WIC (breakfast: 42.5%; lunch: 54.8%; dinner: 63.1%) compared with those who were ineligible for WIC (breakfast: 51.6%; lunch: 65.3%; dinner: 71.0%).ConclusionsFour out of 5 infants and toddlers consumed any fruits or vegetables on a given day. This analysis identified breakfast and AM snack as eating occasions with the lowest prevalence of any fruit or vegetable consumption. These eating occasions could be a target for introduction or increasing fruit or vegetable consumption among infants and toddlers.Funding SourcesNone.

Analysis of the Relationship between Socioeconomic Status and Incidence of Hysterectomy Using Data of the Korean Genome and Epidemiology Study (KoGES).

Hysterectomy remains a frequent gynecologic surgery, although its rates have been decreasing. The aim of this study was to investigate whether socioeconomic status affected the risk of hysterectomy in Korean women. This prospective cohort study used epidemiologic data from 2001 to 2016, from the Korean Genomic and Epidemiology Study (KoGES). Multivariate logistic regression analyses were performed to estimate the association between household income or education level and hysterectomy. Among 5272 Korean women aged 40–69 years, 720 who had a hysterectomy and 4552 controls were selected. Variable factors were adjusted using logistic regression analysis (adjusted model). Adjusted odds ratios (aORs) for insurance type and hysterectomy were not statistically significant. The aOR was 1.479 (95% confidence interval (CI): 1.018–2.146, p < 0.05) for women with education of high school or lower compared to college or higher. Women whose monthly household income was <KRW 4,000,000 had a higher risk of undergoing hysterectomy than women whose monthly household income was ≥KRW 4,000,000 (aOR: 2.193, 95% CI: 1.639–2.933, p < 0.001). Overall, the present study elucidated that lower socioeconomic status could increase the incidence of hysterectomy. Our results indicate that the implementation of stratified preventive strategies for uterine disease in those with low education and low income could be beneficial.

Analysis of Urban Residents' Consumption Behavior and Influencing Factors of Ecological Agricultural Products in the Post-Pandemic Era of COVID-19.

Based on consumer survey data in the post-pandemic era of COVID-19, a binary Logit model was used to analyze the consumers' consumption behavior and the influencing factors of ecological agricultural products in the post-pandemic era. The results showed that: family size, average annual household income, gender, and education level would not affect the consumers' behavior in purchasing ecological agricultural products after the pandemic; age and whether consumers have purchased agricultural products before had a significant negative impact on consumption behavior; the degree of consumers' skepticism about agricultural products in the market after the pandemic had a significant positive impact on their purchase behavior. According to the analysis results, it is proposed that: we should vigorously develop the connection between agricultural socialized service industry and large supermarkets, improve the online and offline sales model of ecological agricultural products, establish an ecological agricultural product service platform, and enhance the scientific and technological researches and their application to ecological agricultural products.

Revealing Consumer Behavior toward Green Consumption

The aim of this study was to determine the relationship between the attitudes and behaviors of the administrative staff of four Baku universities toward the consumption of environmentally friendly products. The study used 536 consumer questionnaires belonging to different socio-economic and demographic consumer groups. The survey evaluated the factors that affected purchasing decisions, purchase intentions, awareness, attitudes and behaviors toward green products of respondents living in an urban area. The results from the survey were analyzed using one-way MANOVA analysis. According to the results of the study, the green consumer behaviors of the survey participants differed according to age, the number of household members, marital status, education level and income. At the same time, the main indicators that consumers paid attention to were price, brand, appearance, advertising, expert opinion and label information. The level of importance of these indicators varied according to the education, income and number of household members of the participants. The results showed that the participants of the survey were partially sensitive to the environment.

Trends of Colorectal Cancer Screening Rates in Korea: Korean National Cancer Screening Survey 2005-2020.

Screening for colorectal cancer (CRC) is important in reducing the morbidity and mortality of CRC. Thus, this study aimed to describe the trends of CRC screening in both organized and opportunistic settings in Korea from 2005 to 2020 according to sociodemographic characteristics. This study analyzed the data of adults aged 50 to 74 years from the Korean National Cancer Screening Survey. Trends for CRC screening rates (fecal immunochemical test [FIT] within the last year, double-contrast barium enema within the last 5 years, or colonoscopy within the last 10 years for 2005-2018 and FIT within the last year or colonoscopy within the last 10 years for 2019-2020) were analyzed using Joinpoint regression. The trends were also analyzed according to sociodemographic characteristics, including age, sex, monthly household income, education level, and residential area. A total of 29,040 participants were included in the analysis. The CRC screening rate significantly increased from 25.0% to 60.1%, with an annual percent change (APC) of 9.2% between 2005 and 2014, followed by a nonsignificant increase to 64.4% between 2014 and 2020 (APC,1.7%). When the participants were stratified according to sociodemographic factors, the participants with higher household income and education levels generally had higher screening rates. There has been substantial improvement in CRC screening rates in the general Korean population. However, it is necessary to determine why the screening rate has stabilized since 2014 and identify barriers that cause disparities in CRC screening rates among populations with lower socioeconomic status.