Household Status Research Articles

Food Security Status of Female-Headed Households in Ethiopia

Abstract This article aims to explore the food security status of female-headed households and its determinant factors in Sidama Regional State, Ethiopia. To that end, the article used both quantitative and qualitative research approaches, as well as multistage sampling techniques and blending both descriptive and econometric statistics during data analysis. The findings depicted that 40.97% of female-head households were food secure, 15.97% of female headed households were mildly food insecure, 18.75% were highly food insecure, and 24.31% were severely food insecure. The study also involves demographic, socioeconomic, and institutional factors that had a substantial impact on food security in female-headed households in the study area. Finally, the study advised that rural female-headed families receive special care and support in order to improve their livelihoods and food security status, and that livestock holding and cultivated land size play an important role in boosting food security.

The influence of household size on socioeconomic conditions of rural farm households in Damot Woyde District, Wolaita Zone, Southern Ethiopia

The influence of household size on socioeconomic conditions of rural farm households in Damot Woyde District, Wolaita Zone, Southern Ethiopia

FENOMENA PENGULANGAN KASUS KEKERASAN DALAM RUMAH TANGGA DI KELURAHAN PAL PUTIH KOTA SORONG

Acts of domestic violence are human rights violations and are crimes against human dignity and a form of discrimination that must be eliminated. These acts of violence often occur with various factors such as men who are always in power in the household, factors of socioeconomic conditions between the two parties that are unequal, household conditions that are very closed and so on. One aspect of domestic violence that is of particular concern is the repetition of violence. Therefore, appropriate and effective preventive efforts and interventions are needed to overcome this problem. Preventive efforts can be done through education and socialization about the importance of healthy relationships and avoiding acts of domestic violence. Meanwhile, intervention can be done through strict law enforcement against perpetrators of violence and providing support to victims in order to get out of adverse situations and get physical and psychological recovery.

Determination of Household Food Consumption Patterns in East Baturaja District OKU Regency

The income level will influence household spending patterns. In conditions of limited income, low-income or poor households will prioritise allocating their income to buying food. This income will be used to spend on food for survival so it will affect the quantity and quality of household food consumption. Good quality food consumption indicates that nutritional adequacy levels are met. This research analyses the factors influencing household food consumption patterns in East Baturaja District, OKU Regency. This research used a survey method and was carried out in three sub-districts in East Baturaja District, OKU Regency, namely Kemala Raja, Sekar Jaya and Tanjung Baru Villages. The method for determining respondents is random sampling using the Parell et all (1973) formula with the statement if the variance of the total population is unknown, so the best way to determine the sample is to use a percentage of the entire population, namely 2%, 5%, 10%, 20% or 50% of the population. The population is 2126 families, obtained by 2%, namely 42.52 and determined to be 43 families. This research used multiple linear regression models to determine the factors influencing food consumption patterns using multiple linear analyses. Based on the research results, it can be concluded that the factors that influence household food consumption patterns in East Baturaja District, OKU Regency, are income (X1), number of family members (X2), age (X3), and education level (X4). The variable that has the most influence on household food consumption patterns in East Baturaja District, OKU Regency, is the income level variable (X1). Simultaneously or together, the income variable (X1), number of family members (X2), age (X3), and education level (X4) has a significant influence. R2 showed this with a value of 97.9%.

Examining the relationship among constraints, facilitators and ski participation in the host city of the 2022 Winter Olympics

PurposeThe study’s purpose is to investigate the constraints and facilitators influencing skiing participation in Beijing. This research includes three segments based on the frequency of skiing participation (i.e. non-, low-frequency-, and high-frequency skiers). By doing so, the study offers an enhanced understanding of the Chinese skiing market and unveils insights assisting industry professionals to effectively address their customers' diverse needs and expectations.Design/methodology/approachAn online survey was developed based on prior research and consisted of four sections: (1) skiing participation; (2) constraints; (3) facilitators; (4) demographics. Items in the constraint and facilitator scale were measured using a 7-point Likert scale. A total of 409 participants completed the survey. The participants included 137 non-skiers, 134 low-frequency skiers, and 138 high-frequency skiers.FindingsThrough an exploratory factor analysis, three constructs emerged: general constraints, facilitators and learning constraints. As expected, facilitators were a positive predictor of skiing participation. Importantly, the emergent construct of learning constraints was a negative predictor of skiing and yet, the construct of general constraints was insignificant. Furthermore, the three segments differ significantly in household status, income, and education level.Originality/valueThese results support previous research noting the relevance in skiing participation of the dimensions: facilitators and learning constraints. The findings point to the need for ski resorts in Beijing to offer instructional sessions for beginners so they may become familiar with skiing fundamentals and enhance their confidence, particularly among nonskiers and low-frequency skiers.

Fisherman Resilience during The Covd-19 Pandemic Ujung District Parepare Town

This study aims to determine the economic condition of fishermen's households, Ujung Kota Parepare District during the Covid-19 pandemic and to determine the resilience of fishermen in meeting their needs during the Covid-19 pandemic. This research was conducted from July 2021 to August 2021. The sampling method is purposive sampling with a total sample of 29 people. The data sources used are primary data and secondary data. Data is analyzed using revenue analysis, and qualitative data analysis. The economic condition of fishing households in Ujung Kota Parepare District during the Covid-19 pandemic has decreased income and seeks additional income by doing side jobs. The resilience of fishermen in Ujung Kota Parepare District in fulfilling the needs of life is to utilize livelihood assets (natural, human, physical, financial and social), which they have in the fishermen households of Ujung District. This capital is used so that fishermen in Ujung District can be resilient during the Covid-19 pandemic without having to increase their burden and vulnerability.

PER CAPITA CONSUMPTION ESTIMATION IN SURABAYA USING ENSEMBLE MODEL APPROACH

The categorization of the Low-Income Community category is based on the poverty indicators in the Multidimensional Poverty Index, including the dimensions of health, education, and living standards. The Proxy Means Test (PMT) can estimate household income or consumption by taking into account household conditions that are readily observable and cannot be manipulated. This method offers the advantage of being capable of determining both the poverty level of a household and the household's characteristics based on asset ownership and socio-demographic conditions. This study aims to estimate per capita consumption using OLS, Robust, Quantile, LASSO, and Ensemble methods. The application of these methods is intended to address various issues, including the presence of outlier data, multicollinearity, and uncertainties. The results indicate that none of the four methods used achieved the highest accuracy based on the MSE, MAE, and sMAPE criteria. Consequently, employing an ensemble model becomes essential to accommodate the element of uncertainty present in these four models. The application of the ensemble method is not only as a comparison between the models, but also as a means to capture the uncertainty contained in each model

Housing conditions in European one-person households.

This study addresses the satisfaction of housing-related needs in single-person households across European countries. The primary objective is to assess the housing satisfaction of single-person households in European countries, specifically within the Visegrad Group. The study seeks to identify trends in housing conditions, create a ranking of countries based on these conditions, and categorize countries with similar levels of unmet housing needs. The study employs statistical measures and methods to achieve its objectives. Time series are constructed for European countries, and linear trends are analyzed to identify statistically significant changes in selected housing aspects from 2005 to 2022. Various research tasks, including ranking countries and grouping them based on housing conditions, are accomplished using established methods like linear ranking and Ward's cluster analysis. Key findings include significant variations in financial burdens related to housing costs, thermal comfort, environmental pollution, and safety issues across European countries. The study reveals both improvements and challenges in housing conditions from 2005 to 2022 in one-person households. For instance, financial stress due to housing costs decreased in some countries, while thermal comfort issues improved in several nations. The results also highlight the heterogeneity within the Visegrad Group. The study concludes that there is a need for targeted actions to address housing-related issues in single-person households. The findings underscore the importance of investments in building energy efficiency, initiatives for affordable housing construction, and environmental policies. The research emphasizes the impact of housing conditions on health, well-being, and overall community life, urging policymakers to consider these factors for holistic improvement in the housing sector.

Analysis of medical impoverishment and its influencing factors among China's rural near-poor, 2016-2020.

This study investigates the determinants of medical impoverishment among China's rural near-poor, aiming to enhance public health services and establish preventative and monitoring systems. Using China Family Panel Studies and World Bank methods, we categorized rural populations and calculated their 2020 Poverty Incidence (PI) and Poverty Gap (PG), with impoverishing health expenditures (IHE) as the primary indicator. We analyzed the data from 2016 to 2020 using a conditional fixed-effects multinomial logit model and 2020 logistic regression to identify factors influencing medical impoverishment risk. (1) In 2020, the near-poor in China faced a PI of 16.65% post-health expenditures, 8.63 times greater than the non-poor's PI of 1.93%. The near-poor's Average Poverty Gap (APG) was CNY 1,920.67, notably surpassing the non-poor's figure of CNY 485.58. Health expenses disproportionately affected low-income groups, with the near-poor more prone to medical impoverishment. (2) Disparities in medical impoverishment between different economic household statuses were significant (P < 0.001), with the near-poor being particularly vulnerable. (3) For rural near-poor households in China, those with over six members faced a lower risk of medical impoverishment compared to those with three or fewer. Unmarried individuals had a 7.1% reduced risk of medical impoverishment relative to married/cohabiting counterparts. Unemployment was associated with a 9% increased risk. A better self-rated health status was linked to a lower probability of IHE, with the "very healthy" reporting a 25.8% lower risk than those "unhealthy." Chronic disease sufferers in the near-poor and non-poor categories were at an increased risk of 12 and 1.4%, respectively. Other surveyed factors, including migrant status, age, insurance type, gender, educational level, and recent smoking or drinking, were not statistically significant (P > 0.05). Rural near-poor in China are much more susceptible to medical impoverishment, influenced by specific socio-economic factors. The findings advocate for policy enhancements and health system reforms to mitigate health poverty. Further research should extend to urban areas for comprehensive health poverty strategy development.

Ten questions concerning building electrification

Building electrification is the movement to shift building operational energy use from fossil fuels toward electricity. It has been pursued mainly to reduce greenhouse gas (GHG) emissions from the building sector. We present here ten questions concerning building electrification and attempt to answer them in the context of the existing literature. Our questions span dimensions of policy, life cycle impacts on energy and environment, technological advances and challenges, indoor and outdoor air quality, health, economics, and social-behavioral factors. We find that while much of the extant research predicts that building electrification will provide benefits in terms of GHG emissions, pollutant exposures, and economic impacts, it remains limited to a narrow set of geographic regions and typically fails to capture the full extent of life cycle environmental impacts. Additionally, despite logical inferences for likely health benefits, we were unable to identify explicit studies of the health impacts of building electrification. We also find a common theme that, for building electrification to be successful in reducing GHG emissions, costs, and adverse grid impacts, it should be approached in parallel with increased building energy efficiency, grid renewable power, and smart grid infrastructure. Finally, we find that people hold strong opinions about fuel options in their homes, and the relationship between preferences and energy use is complicated. To shift people's beliefs around electrification, government-originating communications can highlight the benefits, but one must still account for heterogeneous household conditions. We conclude by suggesting key research areas needed to approach building electrification effectively and equitably.

Lead Speciation, Bioaccessibility, and Sources for a Contaminated Subset of House Dust and Soils Collected from Similar United States Residences.

Residential lead (Pb) exposure is of critical concern to families globally as Pb promotes severe neurological effects in children, especially those less than 5 years old, and no blood lead level is deemed safe by the US Center for Disease Control. House dust and soils are commonly thought to be important sources of Pb exposure. Probing the relationship between house dust and soil Pb is critical to understanding residential exposure, as Pb bioavailability is highly influenced by Pb sources and/or species. We investigated paired house dust and soil collected from homes built before 1978 to determine Pb speciation, source, and bioaccessibility with the primary goal of assessing chemical factors driving Pb exposure in residential media. House dust was predominately found to contain (hydro)cerussite (i.e., Pb (hydroxy)carbonate) phases commonly used in Pb-based paint that, in-turn, promoted elevated bioaccessibility (>60%). Pb X-ray absorption spectroscopy, μ-XRF mapping, and Pb isotope ratio analysis for house dust and soils support house dust Pb as chemically unique compared to exterior soils, although paint Pb is expected to be a major source for both. Soil pedogenesis and increased protection from environmental conditions (e.g., weathering) in households is expected to greatly impact Pb phase differences between house dust and soils, subsequently dictating differences in Pb exposure.

Determinants of Food Security Status of Agricultural Households: An Empirical Investigation from Kuttanad Wetland System in Kerala, India

Recent debates highlight that agriculture-based strategies can enhance food security. Thus, this article examined the incidence and determinants of food security of agricultural households in Kuttanad, a wetland region situated in the southern part of the state of Kerala in India. Towards this objective, we have collected food consumption data from households and converted them into an equivalent amount of calorie intake. Further, we define food security in terms of calorie adequacy using the minimum calorie norm of 1,800 kcal suggested by the Food and Agricultural Organization for India. Our empirical results reveal that 37% of the sample households are food insecure. The incidence of food insecurity is higher among poor sections like labour households, Antyodaya Anna Yojana (AAY), and Scheduled Castes families. Results of Probit regression show that below poverty line and AAY families are less likely to be food secure than above poverty line families. The purchase of cereals from the Public Distribution System is found to have a positive impact on the food security status of the households. Both farm income and non-farm income positively influence the probability of food security. The study concludes that there are impediments to realizing the linkages between agriculture and food security. JEL Classification: Q10, Q18, I32, C25

WPROWADZENIE KONCEPCJI „GEOMETRYCZNEGO STANDARDU POMIESZCZENIA MIESZKALNEGO” W TWORZENIU MODELU JEGO ZRÓWNOWAŻONEGO ROZWOJU

Most contemporary housing is characterized by increasing visual quality, but that has not stopped the short period of its existence of new ones and the growing number of empty or temporarily used apartments around the world. The article aims to propose using the concept of the "geometric standard of living premises" acquiring knowledge about the living conditions of modern households and their activities and behaviors in the existing premises of the state. As evidenced by the practice of its use in pilot environmental studies, its use can be fruitful in creating local models of stable geometric development of the environment.

Dietary Diversity Score among Beneficiaries and Non-beneficiaries of Public Distribution System in Rural and Urban Telangana

The present study assessed the dietary diversity score and the factors influencing dietary diversity of Pubic Distribution System (PDS) beneficiary and non-beneficiary households in rural and urban areas of Telangana state. Multistage purposive random sampling was used for the selection of three districts, six mandals and 12 each village and urban areas for conducting the study with a total sample of 480 households. The primary data collected through pre-tested interview schedules were analysed using Simpson Index Dietary Diversity (SIDD) score and later multiple linear regression was used to regress socio-economic and demographic variables to assess the influence of these variables on SIDD score. The results revealed that the overall dietary diversity score for rural and urban PDS beneficiaries was 0.86 whereas for rural and urban PDS non-beneficiary households’ SIDD score was 0.82 and 0.83 respectively. The results clearly showed that PDS beneficiary households had higher dietary diversity than non-beneficiaries’ households. Age, household size, education, farmland and livestock possession enhanced dietary diversity, thereby improving the nutritional status of households. Thus, the PDS can play a crucial role in guaranteeing food security. Furthermore, its effectiveness depends on including a variety of food items for distribution, and recommended promoting nutritional education, encouraging the consumption of locally sourced foods through health and nutrition awareness campaigns. In addition, implementing mechanisms for assessment, minimizing leakages and inclusion of eligible households through regular survey can help the vulnerable sections of population to achieve food and nutritional security.

Association Between Institution ZIP Code Characteristics and NIH Funding.

Introduction. While racial NIH funding disparities have been identified, little is known about the link between community demographics of institutions and NIH funding. We sought to evaluate the association between institution zip code characteristics and NIH funding. Methods. We linked the 2011-2021 NIH RePORTER database to Census data. We calculated the funding to each institution and stratified institutions into funding quartiles. We defined out independent variables as institution ZIP code level race/ethnicity (White, Black, and Hispanic), and socioeconomic status (household income, high school graduation rate, and unemployment rate). We used ordinal regression models to evaluate the association between institution ZIP code characteristics and grant funding quartile. Results. We included 731,548 grants (US$271,495,839,744) from 3,971 ZIP codes. The funding amounts in millions of U.S. dollars for the funding quartiles were fourth - 0.25, third - 1.1, second - 3.8, first - 43.5. Using ordinal regression, we found an association between increasing unemployment rate (OR = 1.03 [1.02, 1.05]), increasing high school graduation rate (OR = 3.6 [1.6, 8.4]), decreasing proportion of White people (OR = 0.4 [0.3, 0.5]), increasing proportion of Black people (OR = 1.3 [0.9, 1.8]), and increasing proportion of Hispanic/Latine people (OR = 2.5 [1.7, 3.5]) and higher grant funding quartiles. We found no association between household income and grant funding quartile. Conclusion. We found ZIP code demographics to be inadequate for evaluating NIH funding disparities, and the association between institution ZIP code demographics and investigator demographics is unclear. To evaluate and improve grant funding disparities, better grant recipient data accessibility and transparency are needed.

Sociodemographic factors associated with vaccine hesitancy in the South Asian community in Canada.

South Asians represent the largest non-white ethnic group in Canada and were disproportionately impacted by the COVID-19 pandemic. We sought to determine the factors associated with vaccine hesitancy in South Asian Canadians. We conducted a cross-sectional analysis of vaccine hesitancy using data collected at the baseline assessment of a prospective cohort study, COVID CommUNITY South Asian. Participants (18 + years) were recruited from the Greater Toronto and Hamilton Area in Ontario (ON) and the Greater Vancouver Area in British Columbia (BC) between April and November 2021. Demographic characteristics and vaccine attitudes measured by the Vaccine Attitudes Examination (VAX) scale were collected. Each item is scored on a 6-point Likert scale, and higher scores reflect greater hesitancy. A multivariable linear mixed effects model was used to identify sociodemographic factors associated with vaccine hesitancy, adjusting for multiple covariates. A total of 1496 self-identified South Asians (52% female) were analyzed (mean age = 38.5years; standard deviation (SD): 15.3). The mean VAX score was 3.2, SD: 0.8 [range: 1.0‒6.0]. Factors associated with vaccine hesitancy included: time since immigration (p = 0.04), previous COVID-19 infection (p < 0.001), marital status (p < 0.001), living in a multigenerational household (p = 0.03), age (p = 0.02), education (p < 0.001), and employment status (p = 0.001). Among South Asians living in ON and BC, time since immigration, prior COVID-19 infection, marital status, living in a multigenerational household, age, education, and employment status were associated with vaccine hesitancy. This information can be used to address vaccine hesitancy in the South Asian population in future COVID-19 waves or pandemics.

How do new crises impact HIV risk behaviour – exploring HIV risk behaviour according to COVID-19-related orphanhood status in South Africa?

ABSTRACT The COVID-19 pandemic resulted in high death rates globally, and over 10.5 million children lost a parent or primary caregiver. Because HIV-related orphanhood has been associated with elevated HIV risk, we sought to examine HIV risk in children affected by COVID-19 orphanhood. Four hundred and twenty-one children and adolescents were interviewed, measuring seven HIV risk behaviours: condom use, age-disparate sex, transactional sex, multiple partners, sex associated with drugs/alcohol, mental health and social risks. Approximately 50% (211/421) experienced orphanhood due to COVID-19, 4.8% (20/421) reported living in an HIV-affected household, and 48.2% (203/421) did not know the HIV status of their household. The mean age of the sample was 12.7 years (SD:2.30), of whom 1.2% (5/421) were living with HIV. Eighty percent (337/421) reported at least one HIV risk behaviour. HIV sexual risk behaviours were more common among children living in HIV-affected households compared to those not living in HIV-affected households and those with unknown household status (35.0% vs. 13.6% vs.10.8%, X2 = 9.25, p = 0.01). Children living in HIV-affected households had poorer mental health and elevated substance use (70.0% vs. 48.5%, X2 = 6.21, p = 0.05; 35.0% vs. 19.9%, X2 = 4.02, p = 0.1306, respectively). HIV-affected households may require specific interventions to support the health and well-being of children and adolescents.

Associations of prenatal stress with 5-year-old children's executive function in a low socioeconomic status population.

Prenatal stress has a significant, but small, negative effect on children's executive function (EF) in middle and high socioeconomic status (SES) households. Importantly, rates and severity of prenatal stress are higher and protective factors are reduced in lower SES households, suggesting prenatal stress may be particularly detrimental for children's EF in this population. This study examined whether prenatal stress was linked to 5-year-old's EF in a predominantly low SES sample and child sex moderated this association, as males may be more vulnerable to adverse prenatal experiences. Participants were 132 mother-child dyads drawn from a prospective prenatal cohort. Mothers reported on their depression symptoms, trait anxiety, perceived stress, everyday discrimination, and sleep quality at enrollment and once each trimester, to form a composite prenatal stress measure. Children's EF was assessed at age 5 years using the parent-report Behavior Rating Inventory of Executive Function - Preschool (BRIEF-P) Global Executive Composite subscale and neuropsychological tasks completed by the children. Mixed models revealed higher prenatal stress was associated with lower BRIEF-P scores, indicating better EF, for females only. Higher prenatal stress was associated with lower performance on neuropsychological EF measures for both males and females. Results add to the limited evidence about prenatal stress effects on children's EF in low SES households.

Revisiting swimming against tide; inequalities in child malnutrition in Nepal

BackgroundChild stunting, child underweight, and child wasting in Nepal decreased from 48%, 47%, and 11% to 25%, 19%, and 9%, respectively, between 1996 and 2022. Despite an overall reduction in prevalence rates, economically poor and geographically backward regions in Nepal have not seen equivalent improvement in child undernutrition similar to their richer and developed regions, leading to increased differences in undernutrition prevalence across the wealth quintiles. This study aimed to assess time trends in the average and inequality of child nutritional status by household wealth across Nepal's geographical spaces from 1996 to 2022.MethodsThis study utilized data from four rounds (1996, 2006, 2016, and 2022) of the Nepal Demographics and Health Survey (NDHS). The nutritional status of children below three years of age, measured by stunting, wasting, and underweight, served as the main dependent variable. Household wealth status, determined by binary responses regarding possession of household assets, acted as a proxy for economic status. The study employed point prevalence for average, Concentration Index (CI), Poorest-Richest-Ratio (P-R-R), and Poorer-Richer-Ratio (Pr-Rr-R) to analyze trends in child nutritional status by wealth quintiles.ResultsFrom 1996 to 2022, Nepal exhibited an increasing Concentration Index and an upward trend in P-R-R measures of inequality in child stunting. The P-R-R increased from 1.77 in 1996 to 2.51 in 2022, However, results show a concurrent decrease in Pr-Rr-R from 1.19 to 1.18, assessing the prevalence of stunting among children. In the prevalence of child underweight, the P-R-R and Pr-Rr-R were 1.88 and 1.19 in 1996, decreasing to 1.47 and 1.10, respectively, in 2022.ConclusionThe results indicated that inequalities in child nutrition across wealth status show an increase in stunting but marginal decline in underweight and wasting. Therefore, the study underscores the need for inclusive policy and program interventions to achieve equitable improvement in child stunting in Nepal, ensuring that progress extends to children in the poorest wealth quintile households. However, the progress is equitable in child underweight and wasting.

Social path assessment and food security status of rural households in Iran

IntroductionFood and nutrition are the most vital needs of human society and its provision lies in the category of food security. The concept of food security is very broad and is determined by the interaction of a range of biological, economic, social, agricultural, and physical factors. The purpose of this study is to investigate the social factors affecting food security among rural households.MethodsThis is quantitative research conducted by survey method. The statistical population included 384 rural households in Shiraz County that were selected by stratified random sampling. Data analysis was performed using SPSS and LISREL software.Results and discussionResults indicated that the values of combined reliability calculated for all three variables studied were &amp;gt;0.7, which implies that research tools have good reliability and validity. The results of structural analysis of social capital and social health variables with food security using confirmatory factor analysis techniques and structural equations showed social capital variable affects food security directly and social health variable has an indirect effect. According to the value of fitness indicators obtained; it was found that the structural equation model of the research variables had a suitable and acceptable fit and the general structure of the research was approved. Hence, the components used in the research were able to estimate food security. Accordingly, by improving the level of social capital and social health, promotion of food security in communities, would be expected.