Household Structure Research Articles

SYNTACTIC DISLOCATION PHENOMENA IN THE ADVERBIAL CLAUSES OF ROMANCE LANGUAGES – A COMPARATIVE PERSPECTIVE

Currently numerous studies have concerned themselves with reducing school dropout rates premised on school environment. This has resulted into limited impact of interventions fronted to reduce the high school dropout rates. If schools are to register high retention rates commensurate to the high enrollment levels, there is need for studies and interventions to look beyond school related factors which don’t influence school attendance in isolation but operate alongside other factors such as the individual characteristics of the children and their parents especially the household head, household structure and composition as well as the community factors. Therefore, this study aimed at determining non-school factors associated with school dropouts in Uganda. Assessment was done using the probit regression model and secondary data from Uwezo Uganda National Learning Assessment 2014 survey. Children aged 6-16 were assessed based on their household setting and supplementary data obtained through related surveys of their households, local communities and selected local schools where majority of the children in the community were enrolled. The likelihood of a child dropping out of school increased with the child’s age and reduced with; increase in years of preschool attendance and household heads education level. Furthermore, school dropouts were more likely among the disabled children and children with no biological parents in the household. The study recommended focusing on pupil retention, parent sensitization regarding the merits of formal education and the need to promote mandatory pre-school education where children’s’ reading, writing and numeracy can be nurtured at an early age. There is need to explore further the effect of other non-school factors that could influence school dropout directly or indirectly or interactively with school related factors including peer social capital, student loan scheme programmes, government education policies to curb school absenteeism and commitment to their implementation, migration among others.

Socioeconomic and Environmental Factors Associated With Increased Alcohol Purchase and Consumption in 38 Countries During the Covid-19 Pandemic.

AimsTo explore changes in alcohol purchase and consumption during the first few months of the Covid-19 pandemic, and assess associations between increased alcohol purchase/use and socioeconomic and environmental factors.DesignSecondary data from a cross-sectional online survey conducted from 17 April to 25 June 2020.SettingThirty-eight countries from all continents of the world.ParticipantsA total of 37,206 adults (mean age:36.7, SD:14.8, 77% female) reporting alcohol purchasing and drinking habit before and during the pandemic.MeasurementsChanges in alcohol stock-up and frequency of alcohol use during the pandemic and increased alcohol stock-up and use were stratified by gender, age, education, household structure, working status, income loss, psychological distress, and country based on alcohol consumption per capita. The associations between increased alcohol stock-up/use and living with children, working from home, income loss and distress were examined using multivariate logistic regression, controlling for demographic factors.FindingsThe majority of respondents reported no change in their alcohol purchasing and drinking habits during the early pandemic period. Increased drinking was reported by 20.2% of respondents, while 17.6% reported decreased alcohol use. More than half (53.3%) of respondents experienced psychological distress, with one in five (20.7%) having severe distress. Female gender, being aged under 50, higher educational attainment, living with children, working from home, and psychological distress were all independently associated with increased alcohol drinking during lockdown. Limitations of the study were the non-representative sample, the data collection early in the pandemic, and the non-standard measurement of alcohol consumption.ConclusionIncreased psychological distress among people during the early pandemic period, resulted in increased alcohol consumption, especially among women with children working from home during lockdown.

My Home is my Castle? The Role of Living Arrangements on Experiencing the COVID-19 Pandemic: Evidence From Germany.

During the early months of the COVID-19 pandemic in Germany, social restrictions and social distancing policies forced large parts of social life to take place within the household. However, comparatively little is known about how private living situations shaped individuals experiences of this crisis. To investigate this issue, we analyze how experiences and concerns vary across living arrangements along two dimensions that may be associated with social disadvantage: loneliness and care. In doing so, we employ quantitative text analysis on open-ended questions from survey data on a sample of 1,073 individuals living in Germany. We focus our analyses on four different household structures: living alone, shared living without children, living with a partner and children, and single parents. We find that single parents (who are primarily single mothers) are at high risk of experiencing care-related worries, particularly regarding their financial situation, while individuals living alone are most likely to report feelings of loneliness. Those individuals living in shared houses, with or without children, had the lowest risk of experiencing both loneliness and care-related worries. These findings illustrate that the living situation at home substantially impacts how individuals experienced and coped with the pandemic situation during the first wave of the pandemic.

Carbon emissions index decomposition and carbon emissions prediction in Xinjiang from the perspective of population-related factors, based on the combination of STIRPAT model and neural network.

In the present study, the STIRPAT model was adopted to examine the impacts of several factors on dioxide emissions using the time series data from 2000 to 2019 in Xinjiang. The said factors included population aging, urbanization, household size, per capita GDP, number of vehicles, per capita mutton consumption, education level, and household direct energy consumption structure. Findings were made that the positive effects of urbanization, per capita GDP, per capita mutton consumption and education on carbon emissions were obvious; the number of vehicles had the biggest positive impact on carbon dioxide emissions; and household size and household direct energy consumption structure had a significantly negative impact on carbon emissions. Based on the aforementioned findings, the GA-BP neural network was introduced to predict the carbon emission trend of Xinjiang in 2020–2050. The results reveal that the peak time of the low-carbon scenario was the earliest, between 2029 and 2033. The peak time of the middle scenario was later than low-carbon scenario, between 2032 and 2037, while the peak time of the high-carbon scenario was the latest and was unlikely to reach the peak before 2050.

The impact of spatial and social structure on an SIR epidemic on a weighted multilayer network

A key factor in the transmission of infectious diseases is the structure of disease transmitting contacts. In the context of the current COVID-19 pandemic and with some data based on the Hungarian population we develop a theoretical epidemic model (susceptible-infected-removed, SIR) on a multilayer network. The layers include the Hungarian household structure, with population divided into children, adults and elderly, as well as schools and workplaces, some spatial embedding and community transmission due to sharing communal spaces, service and public spaces. We investigate the sensitivity of the model (via the time evolution and final size of the epidemic) to the different contact layers and we map out the relation between peak prevalence and final epidemic size. When compared to the classic compartmental model and for the same final epidemic size, we find that epidemics on multilayer network lead to higher peak prevalence meaning that the risk of overwhelming the health care system is higher. Based on our model we found that keeping cliques/bubbles in school as isolated as possible has a major effect while closing workplaces had a mild effect as long as workplaces are of relatively small size.

Change and adaptation. Jewish households in Lviv, Worms and Poznan in early modern times

ABSTRACT The average early modern family of Ashkenazi Jews is often portrayed in literature in static terms as a nuclear household that is similar in many regards to the other European urban families of premodern Europe. The main goal of this study is to verify this image and to analyze the political and economic factors influencing the size and structure of Jewish households. This study uses three registers of Jewish communities – the 1578 register of Lviv, the 1610 register of Worms, and the 1619 register of Poznan – to conduct a comparative analysis of Ashkenazi Jewish households and their living conditions at the turn of 16th and 17th centuries. The study demonstrates that the existence of significantly different models of Jewish households and indicates a strong relation between the higher status and wealth of families and their larger size and more complex household structure. At the same time, the results also suggest that contextual factors played a significant role in the structure and living conditions of those households. In cities where the economic costs, and legal and political constraints of settling were smaller, there were significantly greater numbers of small households created by the poorer members of the community. On the other hand, in cities where living was associated with greater prestige, prosperity and security, but also required greater wealth and overcoming the difficulties posed by the Christian majority, households were often larger, multi-generational, and included servants and guests.

The influence of emancipation reforms on the Polish rural family in western provinces of the Russian Empire in the second half of the 19th century

ABSTRACT Eastern Europe in the early modern period is seen as a region where the serfdom system provided the gentry with political and economic power at the expense of the peasant class. The centrally introduced abolition of serfdom was to comprehensively affect all aspects of life of this social group. This article analyzes the effects of serfdom and subsequent peasant emancipation on families and households within agricultural communities of western provinces in the Russian Empire (the Grodno and Volhynia provinces), which were formerly part of the Polish-Lithuanian Commonwealth. These communities were not composed of serfs alone, but of petty gentry as well. Special attention is paid to changes in household structures of the two aforementioned population groups and those in their employ. The increasing share of simple family households is presented with the use of registers of parishioners from before and after agrarian reforms. In the parishes under scrutiny, this was not accompanied by any significant decline in the size of peasant households.

The role of household structure, parental education and income on children schooling in Thailand: a gender-based perspective

The role of household structure, parental education and income on children schooling in Thailand: a gender-based perspective

“Doing Gender”: Women Labor Migration and Households Transition in Nepal

The increasing trend of women migration in transnational space doesn’t open a new discourse in global labor market but also assists in social construction of gender. Though government of Nepal doesn’t have any objection over men migration but it dispirited female labor migration due to various reasons. The growing incidents of physical assault in foreign land and patriarchal ideology such as: prevalence of male breadwinners, female homemaker, managing work within the domestic space and cultural restrictions restricts on women to participate in public spaces. This paper examines the reconstruction of households structure and the changing roles, with a focus on gendered power relation in the slum community of Pokhara Metropolitan City, Nepal. Particular, attention is paid to the transformation of breadwinner power of men to women and increasing women participation in decision making process. The evidences presented here use data from both secondary literature and primary sources. The data have been purposively selected from the 199 households of the women migrants families who have been migrated at least three years before the study conducted in between March and July 2022. Both quantitative and qualitative methods were chosen for the data collection and analysis. The results explain changing scenario of gender role and households transition due to access of social, cultural and economic capital accumulated by migrants. Once women depart for labor migration, the family left behind especially mother and husband are more responsible to carry both inside as well as outside activities along with childcare. In joint family, mother/mother-in-laws were replacing the role of migrant and doing migrants tasks; whereas in nuclear family husbands is more responsible for all conducts performed by their wives and acts as like that. The study also provides a more nuanced understanding of the involvement of migrants women in decision-making power in household’s domain and the way of dealing with upcoming socio-cultural obstacles that hinder their participation in public sphere.

The role of household structure, parental education and income on children schooling in Thailand: a gender-based perspective

The role of household structure, parental education and income on children schooling in Thailand: a gender-based perspective

The Role of Household Structure and Composition in Influencing Complementary Feeding Practices in Ethiopia.

While the household in which a child grows up is considered a critical environment that influences nutrition outcomes, there is little research examining the influence of household composition and structure on complementary feeding practices. This study examined the influence of household structure and composition on complementary feeding practices, using the Ethiopian Demographic and Health Survey (EDHS), 2000 to 2016. The composition variables were calculated from the attributes of household members (alters) and the structure variables from their kinship status. A multilevel mixed-effects regression model, specifying survey rounds as the random effect, was used to examine the association between household structure/composition and the Minimum Meal Frequency (MMF) and Minimum Dietary Diversity (MDD). The average Marginal Effects (MEs) were calculated to facilitate practical interpretation. Children of caregivers with a higher number of alters (degree), unique number of kinship category (effect size), closely related (constraint), and mixed-age alters (age diversity) seemed to increase the probability of meeting the MDD. Degree and effective size decreased the probability of meeting MMF, while constraint increased it. Overall, this study revealed some associations between household structure and composition and complementary feeding practices. Hence, complementary feeding interventions could be adapted to account for the household structure and composition variations.

СТРАТЕГІЧНИЙ АНАЛІЗ ЗОВНІШНЬОГО СЕРЕДОВИЩА – ОСНОВА ВИЗНАЧЕННЯ СТРАТЕГІЧНОГО НАПРЯМУ РОЗВИТКУ ПІДПРИЄМНИЦЬКИХ СТРУКТУР

The essence and significance of strategic analysis in the process of determining the strategic direction of enterprise development are considered. Approaches to the implementation of strategic analysis of the external environment are studied, the tools and methods of its implementation are determined. It is established that the main methods of assessing the impact of environmental factors are PEST-analysis and SWOT analysis. The purpose of PEST-analysis is to determine the impact of political, legal, economic, socio-cultural, and technological aspects of the environment, which allows identifying environmental factors that most affect the activities of business structures, as well as to predict favorable or threatening dynamics of their impact. Given the globalization of society, deepening and exacerbation of global problems, it is proposed to supplement the matrix of PEST-analysis of macro-environmental factors with the block "Global Problems" which covers economic, energy, demographic, social, environmental, and other spheres of human existence to change the factors of the external environment form the corresponding changes in the internal environment. The PEST-analysis itself allows for the development of the factors of the new middle, as it infuses the most into the scope of the household structures, and also transfers it to the more friendly and threatens the dynamism with the inflow of the cich factors. Protest, then, it means, that the globalization of the suspension and the diagnosis of global problems of the people is fueled by the correlation of the efficiency of all social and economic systems. Therefore, it is important to add the PEST-analysis matrix with the “Global Problems / Global Problems” block, which inject me into the singing world, and start the development of all officials of the new middle middle class, right into the middle of the earth.

Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.

Since the global withdrawal of Sabin 2 oral poliovirus vaccine (OPV) from routine immunization, the Global Polio Eradication Initiative (GPEI) has reported multiple circulating vaccine-derived poliovirus type 2 (cVDPV2) outbreaks. Here, we generated an agent-based, mechanistic model designed to assess OPV-related vaccine virus transmission risk in populations with heterogeneous immunity, demography, and social mixing patterns. To showcase the utility of our model, we present a simulation of mOPV2-related Sabin 2 transmission in rural Matlab, Bangladesh based on stool samples collected from infants and their household contacts during an mOPV2 clinical trial. Sabin 2 transmission following the mOPV2 clinical trial was replicated by specifying multiple, heterogeneous contact rates based on household and community membership. Once calibrated, the model generated Matlab-specific insights regarding poliovirus transmission following an accidental point importation or mass vaccination event. We also show that assuming homogeneous contact rates (mass action), as is common of poliovirus forecast models, does not accurately represent the clinical trial and risks overestimating forecasted poliovirus outbreak probability. Our study identifies household and community structure as an important source of transmission heterogeneity when assessing OPV-related transmission risk and provides a calibratable framework for expanding these analyses to other populations.Trial Registration: ClinicalTrials.gov This trial is registered with clinicaltrials.gov, NCT02477046.

Sibship Size, Height and Cohort Selection: A Methodological Approach.

This article deals with the historical relationship between the number of siblings in a family or household and height, a proxy for biological living standards. Ideally, this relationship is better assessed when we have evidence on the exact number of siblings in a family from its constitution onwards. However, this generally requires applying family reconstitution techniques, which, unfortunately, is not always possible. In this latter case, scholars must generally settle for considering only particular benchmark years using population censuses, from which family and household structures are derived. These data are then linked to the height data for the young males of the family or household. Height data are generally obtained from military records. In this matching process, several decisions have to be taken, which, in turn, are determined by source availability and the number of available observations. Using data from late 19th-century Catalonia, we explore whether the methodology used in matching population censuses and military records as described above might affect the relationship between sibship size and biological living standards and, if so, to what extent. We conclude that, while contextual factors cannot be neglected, the methodological decisions made in the initial steps of research also play a role in assessing this relationship.

Household Structure and Older Persons

This research explores the life circumstances of older persons (aged 60 years and above), focusing on the sociodemographic and socioeconomic conditions of those who live alone. We situate the living arrangements of older persons within the global context of changing household structures in 76 countries from all regions of the world. Older persons who live alone are among those most likely to need governmental and other forms of social support. The analysis presented here is crucial for supporting policy responses to the needs of older persons, including the special attention they require during the current COVID-19 crisis. It also supports the operationalization of the Madrid International Plan of Action on Ageing (MIPAA)(United Nations, 2002), the realization of United Nations Principles for Older Persons (United Nations, 1991), and the broader framework of the Programme of Action of the International Conference on Population and Development(ICPA-POA).

Supporting One’s Own? Grandparents’ Help to Grandchildren Who Live With Other Unrelated Children

The structures of young families today are becoming increasingly complex, which may impact grandparents’ involvement. I examine whether grandparents’ support to adult children’s households differs for those with biological grandchildren only, versus households with both biological and non-biological (step, unrelated) grandchildren. The resource dilution hypothesis and sociobiology theory suggest that grandparents will be less supportive of grandchildren when other unrelated children co-reside in their households. Grandparents (mean age 62.23) in the Add Health Parent Study (2015-2017) reported on instrumental and financial help given to each of their adult children's families in the past year. These data were merged with information from their adult children (mean age 36.76) who participated in Add Health Wave V (2016-2018). Adult children’s household structures—biological children only (n=400) or biological + other children (n=51)—were determined using their fertility histories and household rosters. No significant differences were found in the likelihood that grandparents offered any instrumental or financial support to these two household types (controlling for grandparent resources and adult child characteristics). Nor was the level of grandparents’ financial support significantly different for the two groups. However, grandparents gave significantly fewer hours of help to adult children heading households including both biological grandchildren and unrelated children. Grandparents appear less willing to devote time to assisting their grandchildren’s families when their investment is diluted by the presence of unrelated children. Perhaps time with grandchildren is less pleasing or comfortable when unrelated children are present. This same issue does not impact financial giving, which need not involve contact.

Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales.

Background: Household overcrowding is associated with increased risk of infectious diseases across contexts and countries. Limited data exist linking household overcrowding and risk of COVID-19. We used data collected from the Virus Watch cohort to examine the association between overcrowded households and SARS-CoV-2. Methods: The Virus Watch study is a household community cohort of acute respiratory infections in England and Wales. We calculated overcrowding using the measure of persons per room for each household. We considered two primary outcomes: PCR-confirmed positive SARS-CoV-2 antigen tests and laboratory-confirmed SARS-CoV-2 antibodies. We used mixed-effects logistic regression models that accounted for household structure to estimate the association between household overcrowding and SARS-CoV-2 infection. Results:26,367 participants were included in our analyses. The proportion of participants with a positive SARS-CoV-2 PCR result was highest in the overcrowded group (9.0%; 99/1,100) and lowest in the under-occupied group (4.2%; 980/23,196). In a mixed-effects logistic regression model, we found strong evidence of an increased odds of a positive PCR SARS-CoV-2 antigen result (odds ratio 2.45; 95% CI:1.43-4.19; p-value=0.001) and increased odds of a positive SARS-CoV-2 antibody result in individuals living in overcrowded houses (3.32; 95% CI:1.54-7.15; p-value<0.001) compared with people living in under-occupied houses. Conclusion:Public health interventions to prevent and stop the spread of SARS-CoV-2 should consider the risk of infection for people living in overcrowded households and pay greater attention to reducing household transmission.

Housing Expenditure and Income Inequality

Abstract The trend of rising income inequality in Germany since the mid-1990s is strongly amplified when considering income after housing expenditure. The income share of housing expenditure rose disproportionally for the bottom income quintile and fell for the top quintile. Factors contributing to these trends include declining relative costs of homeownership versus renting, changes in household structure, declining real incomes for low-income households and residential mobility towards larger cities. Younger cohorts spend more on housing and save less than older cohorts did at the same age, which will affect future wealth accumulation, particularly at the bottom of the income distribution.

The Effectiveness of Family Support Program based on Clean and Healthy Behaviour (CLHB) Indicators

A clean and healthy lifestyle behavior (CHLB) in the household structure is essential to maintain and improve the health of family members. However, in its implementation, consistency is needed so that clean and healthy lifestyle behavior can be carried out optimally based on ten indicators of a CHLB of household arrangements that the government has set. Therefore, this research was conducted using a cross-sectional design with a quantitative descriptive study design—population in the sub-district of Banguntapan, Bantul District, consisting of 826 households. The sample of this study was collected using a technique with a random sampling sample of 100 families and data collection using primary data and secondary data, and field observations. Based on the ten indicators of a clean and healthy lifestyle in the household structure, four indicators have not been appropriately implemented, namely giving exclusive breastfeeding (21%), weighing babies and toddlers every month (14%), doing physical activities every day (34%), and not smoking in the home (23%), with clean and healthy lifestyle coverage in the excellent category (66%). Therefore, it can be concluded that the application of a clean and healthy lifestyle in the Banguntapan, Bantul, household characteristics is good (66%) but has not met the government’s target because four indicators of a clean and healthy lifestyle have not been implemented optimally.

Approximating steady state distributions for household structured epidemic models

Household-structured infectious disease models consider the increased transmission potential between individuals of the same household when compared with two individuals in different households. Accounting for these heterogeneities in transmission enables control measures to be more effectively planned. Ideally, pre-control data may be used to fit such a household-structured model at an endemic steady state, before making dynamic forward-predictions under different proposed strategies. However, this requires the accurate calculation of the steady states for the full dynamic model. We observe that steady state SIS dynamics with household structure cannot necessarily be described by the master equation for a single household, instead requiring consideration of the full system. However, solving the full system of equations becomes increasingly computationally intensive, particularly for higher-dimensional models. We compare two approximations to the full system: the single household master equation; and a proposed alternative method, using the Fokker–Planck equation. Moment closure is another commonly used method, but for more complicated systems, the equations quickly become unwieldy and very difficult to derive. In comparison, using the master equation for a single household is easily implementable, however it can be quite inaccurate. In this paper we compare these methods in terms of accuracy and ease of implementation. We find that there are regions of parameter space in which each method outperforms the other, and that these regions of parameter space can be characterised by the infection prevalence, or by the correlation between household states.