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The proportion of elderly people living apart from children increased dramatically during the twentieth century. Most observers attribute this change to increasing incomes, but Ruggles argues that attitudes became less favorable to coresidence with children. We use the introduction of the Pennsylvania Railroad Pension to examine the role of income in residential decisions of the elderly. In 1900 the Pennsylvania Railroad announced that all employees over the age of 70 would be retired from service with pensions. Pensions were substantial, about 40% of pre-retirement wages, and workers in poor health could retire starting at age 65. We linked retirees from pension records to censuses to examine the relationship between incomes and household patterns in 1900, 1910, and 1920. Although men living with their wives were not affected, we find direct relationships between pension incomes and early retirement and household structure among widowers. Widowers with higher incomes were more likely to head their own households and less likely to live with a married child. Men who retired early because of poor health were less likely to remain heads of household and more likely to live with a married child. These patterns are consistent with Laslett’s ‘nuclear hardship’ hypothesis, and they support the view that higher incomes later in the century would have reduced coresidence with children, especially married children. [ABSTRACT FROM AUTHOR]

This article examines household change and related demographic and social factors in Botswana during the last 40 years (1971–2011). The analysis uses data from five Botswana censuses and three nationally representative surveys: the 1988 Botswana Standard Demographic Health Survey (BSDHS), the 2000 Multiple Indicator Survey (MICS) and the 2007 Botswana Family Health Surveys (BFHS). Overall, the analysis affords a demographic and socio-economic perspective on the change in Tswana households, which is not generally available in census reports and other population survey analyses but is crucial to family and household policy. [ABSTRACT FROM AUTHOR]

In 2021, alternative payment models accounted for 40% of traditional Medicare reimbursements. As such, we sought to examine health disparities through a standardized categorization of social disparity using the social vulnerability index (SVI). We examined (1) risk factors for SVI ≥ 0.50, (2) incidences of complications, and (3) risk factors for total complications between patients who have SVI < 0.50 and SVI ≥ 0.50 who had a total knee arthroplasty (TKA). Patients who underwent TKA between January 1, 2022 and December 31, 2022 were identified in the state of Maryland. A total of 4,952 patients who had complete social determinants of health data were included. Patients were divided into 2 cohorts according to SVI: < 0.50 (n = 2,431) and ≥ 0.50 (n = 2,521) based on the national mean SVI of 0.50. The SVI identifies communities that may need support caused by external stresses on human health based on 4 themed scores: socioeconomic status, household composition and disability, minority status and language, and housing and transportation. The SVI theme of household composition and disability encompassed patients aged 65 years and more, patients aged 17 years and less, civilians who have a disability, single-parent households, and English language deficiencies. The higher the SVI, the more social vulnerability or resources are needed to thrive in a geographic area. When controlling for risk factors and patient comorbidities, the theme of household composition and disability (odds ratio 2.0, 95% confidence interval 1.1 to 5.0, P =.03) was the only independent risk factor for total complications. Patients who had an SVI ≥0.50 were more likely to be women (65.8% versus 61.0%, P <.001), Black (34.4% versus 12.9%, P <.001), and have a median household income < $87,999 (21.3% versus 10.2%, P <.001) in comparison to the patients who had an SVI < 0.50, respectively. The SVI theme of household composition and disability, encompassing patients aged 65 years and more, patients aged 17 years and less, civilians who have a disability, single-parent households, and English language deficiencies, were independent risk factors for total complications following TKA. Together, these findings offer opportunities for interventions with selected patients to address social disparities. [ABSTRACT FROM AUTHOR]

This study examines the relationship between household compositional change and residential mobility of subsidized householders. Data from the U.S. Department of Housing and Urban Development Annual Longitudinal Files 2005–2018 is used to measure household compositional change and mobility for subsidized householders in the Public Housing and Housing Choice Voucher programs. Householders are 67% more likely to move when a change in household composition occurs. Members entering the household induce larger estimated mobility effects than members exiting the household. Although the odds that a householder move are associated with a household compositional change is greatest in the Housing Choice Voucher program for tenant-based vouchers, there is still a strong association with household compositional changes and mobility in Public Housing and for project-based voucher units where options for mobility are limited. The results have implications for future research on program design factors such as occupancy standards in subsidized housing in the United States. [ABSTRACT FROM AUTHOR]

Child nutrition interventions in low-income settings are variably effective as strategies often focus on primary caregivers, with less attention given to other household members. This study explored the influence of household members on exclusive breastfeeding and the feeding practices of mothers of under-five children in Jigawa State, Northern Nigeria. As part of a cluster randomised controlled trial in Jigawa State, we conducted an ethnographic process evaluation. Households were selected from six administrative wards (3 intervention and 3 control) in the Kiyawa local government area, and 90 women were recruited for the ethnography. In-depth life history interviews were conducted at three time points alongside monthly informal household visits. For this study, 36 women, who reported breastfeeding within the last 2 years, were included. Data were analysed using a reflexive thematic approach. Participant accounts identified that breastfeeding practices in the first six months varied from exclusive breastfeeding to mixed practices combining breastmilk with traditional practices centring on symbolic, nutritional and religious roles of water. Crucially, we found that decision-making around feeding practices includes wider networks of household members, involving in-laws/older family members, co-wives and neighbours who support childcare efforts. Our findings suggest that a more comprehensive and inclusive approach is needed to tackle suboptimal breastfeeding in this setting. Information needs to target entire communities to create enabling environments for exclusive breastfeeding.

It is important to reduce the building load and downsize the heat source equipment capacity during construction or renovation carried out toward the achievement of carbon neutrality by 2050 in Japan. However, this sometimes results in the oversizing of the heat source equipment capacity, despite the fact that designers are engaged in the implementation of safety designs while attempting to balance between cost and risk. This study investigated the simultaneous usage ratio of heating based on occupant behavior in an apartment building with the aim of optimizing this capacity. This ratio was defined as a peak load-based approach rather than simultaneity based on the number of people using the system. First, the analysis was conducted for the heating load characteristics for each dwelling unit and each household composition. The subject of this case study was an apartment building located in Sapporo, Japan. Based on these data, a method for creating the curve of the simultaneous usage ratio to avoid a combinatorial explosion was suggested. As a result, the ratio created for about 200 dwelling units was 53.6% in an apartment building and generally stabilized when the number of dwelling units exceeded 30. Finally, a case study was attempted to analyze the influence of changes in household composition on the ratio. If the method proposed in this study for creating the curve of simultaneous usage ratios were to be applied in not only this case study but also in case studies of non-residential buildings such as offices, new results about the curves of ratios that differ from those of apartment buildings could be obtained. Therefore, this case study provides a methodology for statistically quantifying the simultaneous usage ratio as one of the factors in determining the appropriate heat source equipment capacity in the design stage. [ABSTRACT FROM AUTHOR]

Objectives We assess how age, the presence of mature adults aged 45+ years, and recent deaths in rural households are associated with coronavirus disease 2019 (COVID-19) preventative actions and the likelihood of getting vaccinated against the virus in Malawi during early stages of the pandemic. Methods We draw upon data from 2,187 rural Malawians who participated in a 2020 COVID-19 Phone Survey. We estimate the log odds of engaging in "low-cost" and "high-cost" COVID-19 preventative actions based on age, gender, household composition, and recent household deaths. Low-cost prevention efforts were washing hands with soap and water frequently, avoiding close contact with people when going out, and avoiding shaking hands. High-cost actions included staying at home and decreasing time spent close to people not living in their household. We also estimate the chances of acquiring the COVID-19 vaccine in early stages of its availability. Results Mature women (45+ years) in general and younger men (<45 years)—living with at least one mature adult in the household—were less likely than others to comply with low-cost actions. Mature men were more likely than younger men (<45 years) to take on high-cost actions. To some extent, individuals who experienced a recent family death were more likely to engage in high-cost COVID-19 preventative actions as well as getting vaccinated. Discussion Gendered age differences in preventing the transmission of COVID-19 offer hints of larger social norms affecting protective efforts. The analyses also inform future COVID-19 public health outreach efforts in Malawi and other rural SSA contexts. [ABSTRACT FROM AUTHOR]

The population registers of the nineteenth century highlight a visible conflict between the administration's objective of increasing poll tax revenue and the village's desire to suppress the poll tax. We can suppose that the repeated division of households would have reduced the area under cultivation per household and increased the number of small-scale peasants within the village. This social transformation likely reinforced the village's inclination to avoid the poll tax. The population pressure caused by this transformation may have resulted in a closed social space and fixed membership within the village community. [ABSTRACT FROM AUTHOR]

Familial composition has always occupied the center stage in sociological research and is linked with different socio-economic and demographic transitions. This study examines the change in the pattern of one-person (OP) and one-couple-only (OC) households in India for the period 1993–2050. Household-level data was obtained from three rounds of the National Family Health Survey and closely matched with the estimates of the Census. We adopted the spline method for age smoothing, the ordinary least squares regression method for examining the factors affecting OP and OC households, and the logistic curve for making projections. The findings show that during 2015–16, 4% of the households in India were OP households, which figure is expected to become 5.5% (4.9%-5.6%) by 2030 and 6.7% (5%-7%) by 2050. The percentage of OC households was 8% in 2015–16, which will increase to 10.4% (9.2%-10.8%) by 2030 and 12.6% (9.8%-14.2%) by 2050. In 2015–16, the proportion of OP households ranged between 1.54 in Jammu & Kashmir and 8% in Arunachal Pradesh. while that of OC households ranged from 3.3% in Meghalaya to 14.4% in Andhra Pradesh. The demographically advanced state of Kerala is projected to have the highest proportion of OC households in the coming years. One-man households were concentrated in the younger ages, while one-woman households dominated in the older ages. The share of OP households was higher among older persons from rural areas than those from urban areas. The increasing share of OP and OC households among the elderly may accelerate the already-underway processes of feminisation and ruralisation of ageing. The ongoing increase in urbanisation and decline in the Total Fertility Rate (TFR) would lead to an increase in the share of both OP and OC households in India in the future. [ABSTRACT FROM AUTHOR]

Child nutrition interventions in low-income settings are variably effective as strategies often focus on primary caregivers, with less attention given to other household members. This study explored the influence of household members on exclusive breastfeeding and the feeding practices of mothers of under-five children in Jigawa State, Northern Nigeria. As part of a cluster randomised controlled trial in Jigawa State, we conducted an ethnographic process evaluation. Households were selected from six administrative wards (3 intervention and 3 control) in the Kiyawa local government area, and 90 women were recruited for the ethnography. In-depth life history interviews were conducted at three time points alongside monthly informal household visits. For this study, 36 women, who reported breastfeeding within the last 2 years, were included. Data were analysed using a reflexive thematic approach. Participant accounts identified that breastfeeding practices in the first six months varied from exclusive breastfeeding to mixed practices combining breastmilk with traditional practices centring on symbolic, nutritional and religious roles of water. Crucially, we found that decision-making around feeding practices includes wider networks of household members, involving in-laws/older family members, co-wives and neighbours who support childcare efforts. Our findings suggest that a more comprehensive and inclusive approach is needed to tackle suboptimal breastfeeding in this setting. Information needs to target entire communities to create enabling environments for exclusive breastfeeding. [ABSTRACT FROM AUTHOR]

Household composition has diversified and encompasses the number of parents and the types of extended relatives in homes with implications for a child's development. Yet, few studies have included Latinx children of immigrant parents. To fill this gap, I draw upon the Early Childhood Longitudinal Study, 2011-cohort to analyze the household composition and academic performance of Latinx children of immigrant parents and Latinx children of U.S.-born parents from kindergarten through fifth grade. I use an ecological framework to situate household composition as a microsystem component. Results indicated that Latinx children of immigrant parents were less likely to have lived with a single parent and more likely to have lived with horizontal relatives, like aunts or uncles, compared to Latinx children of U.S.-born parents. However, they were as likely as Latinx children of U.S.-born parents to have lived with grandparents or with grandparents and other extended relatives. Structural factors largely shaped household composition. Importantly, household composition states did not compensate for the academic disparities in math and reading between Latinx children of immigrant parents and Latinx children of U.S.-born parents. However, the presence of extended relatives did have a partial effect in some household composition states. [ABSTRACT FROM AUTHOR]

WFH‐related issues regarding house planning, spatial arrangements, and relationships among cohabitants for sharing spaces remain to be clarified. This research aimed to clarify the usage patterns of shared spaces for work‐from‐home (WFH) and the respective behavioral patterns in different household compositions, targeting women in the child‐rearing stage and residing with family in residential building estates in urban areas. Forty‐four percent (n = 199) of women performing childcare who regularly telecommuted had a spouse or partner who also telecommuted, and 65.6% (n = 328) had a child at home while telecommuting. Male spouses or partners (male) did less than half of the housework (12.7%) and childcare (19.8%) than women (41.0% housework, 34.4% childcare). Women primarily used dining rooms for office work (n = 221; 44.2%). When the children were at home during telecommuting, the unclear distinction between work and home was not a deficiency but rather an inevitable acceptance, and a tendency to work in a corner overlooking the common area was observed. When both spouses telecommute without children, men work in their bedrooms or private rooms, whereas women work in common areas, such as the dining room. Simultaneously, women tended to seek spaces dedicated to their work and keep their workspaces separate from common area. [ABSTRACT FROM AUTHOR]

Abstract Objective This research note introduces a set of tools to conduct analysis of household structure and composition with either limited or comprehensive longitudinal data. The data used here are from Health and Demographic Surveillance Systems in Africa, but the methods can be adapted and applied to other longitudinal micro-data such as register data. A training manual describing the procedures for creating time-varying household measures step-by-step is supplied as supplementary material to this note. Code is provided in STATA but can easily be translated for other statistical software, and the logic for each step remains the same. Results The analysis of household structure demonstrates how with limited data (such as a household identifier), it is possible to construct time-varying measures of household membership, including household size or the number of members in specific age and sex groups. The analysis of household composition demonstrates how with expanded data (including links to parents in addition to residence status in the same household), it is possible to construct time-varying measures of household membership of specific kin, i.e. mother, sibling or grandparent. The results illustrated in this research note are a taste of what can be achieved by following the training manual in the supplementary material.

Abstract WFH‐related issues regarding house planning, spatial arrangements, and relationships among cohabitants for sharing spaces remain to be clarified. This research aimed to clarify the usage patterns of shared spaces for work‐from‐home (WFH) and the respective behavioral patterns in different household compositions, targeting women in the child‐rearing stage and residing with family in residential building estates in urban areas. Forty‐four percent (n = 199) of women performing childcare who regularly telecommuted had a spouse or partner who also telecommuted, and 65.6% (n = 328) had a child at home while telecommuting. Male spouses or partners (male) did less than half of the housework (12.7%) and childcare (19.8%) than women (41.0% housework, 34.4% childcare). Women primarily used dining rooms for office work (n = 221; 44.2%). When the children were at home during telecommuting, the unclear distinction between work and home was not a deficiency but rather an inevitable acceptance, and a tendency to work in a corner overlooking the common area was observed. When both spouses telecommute without children, men work in their bedrooms or private rooms, whereas women work in common areas, such as the dining room. Simultaneously, women tended to seek spaces dedicated to their work and keep their workspaces separate from common area.

In pursuing Japan's target of net zero greenhouse gas (GHG) emissions by 2050, decarbonization strategies at the regional level have been taking place nationally. Some successes have been achieved in the residential sector in achieving decarbonization at the regional level due to improvements in the advancement of energy-saving technologies. An important prerequisite to achieving further decarbonization in the residential sector is understanding household electricity consumption of power demand objects. This study constructed a method for predicting residential electricity consumption in a case study region. First, we set up six models of household composition for scenario exercises. Then, we used the residential energy estimation based on daily activities (REEDA) method to calculate the hourly electricity consumption of each household composition in the four seasons based on the duration of daily life activity. Finally, we separately explore the impact of housing performance (insulation, airtightness), air-conditioning patterns (intermittent operation method in a habitable room/continuous operation method in a habitable room/continuous operation method in all rooms), and geographical location on residential air conditional electricity consumption. The output is a regional residential energy estimate method that can consider multiple key variables. We verified the developed model by (1) comparing the estimated output with the Japan Energy Database and (2) testing the method for various residential areas in Japan. The results showed an accuracy level greater than 75% and nationwide applicability. [ABSTRACT FROM AUTHOR]

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Objective: This research note introduces a set of tools to conduct analysis of household structure and composition with either limited or comprehensive longitudinal data. The data used here are from Health and Demographic Surveillance Systems in Africa, but the methods can be adapted and applied to other longitudinal micro-data such as register data. A training manual describing the procedures for creating time-varying household measures step-by-step is supplied as supplementary material to this note. Code is provided in STATA but can easily be translated for other statistical software, and the logic for each step remains the same. Results: The analysis of household structure demonstrates how with limited data (such as a household identifier), it is possible to construct time-varying measures of household membership, including household size or the number of members in specific age and sex groups. The analysis of household composition demonstrates how with expanded data (including links to parents in addition to residence status in the same household), it is possible to construct time-varying measures of household membership of specific kin, i.e. mother, sibling or grandparent. The results illustrated in this research note are a taste of what can be achieved by following the training manual in the supplementary material. [ABSTRACT FROM AUTHOR]

Adolescent mothers frequently encounter pregnancy-related stigma which increases their risk for depression and this risk is comparatively greater than for adult mothers. The current study investigated the relationship between stigma and depression in adolescent mothers including the role that household composition played in the adolescents' experience of stigma and depression. A sample of 85 adolescent mothers, aged 14–18 years, enrolled at multiple sites of a national school program in Jamaica, completed an interviewer-administered questionnaire that assessed different types of perceived stigma, depression risk, and varying forms of household composition for the adolescent mothers. After adapting the Berger's HIV Stigma Scale for use with adolescent pregnancy, correlational analyses revealed that higher scores on the Personalized Stigma and Negative Self-Image subscales and the overall stigma scale were associated with higher depression scores. Adolescent mothers living in a single-parent household were at increased risk for experiencing stigma while those living in multigenerational households were protected from depression risk. Regression analyses identified exposure to sexual violence during pregnancy as an independent predictor of feeling stigmatized, and depression risk was independently predicted by internalized stigma resulting in a negative self-image. We discuss conceptualizing stigma as heterogenous and bi-directional in its relationship with depression and suggest that more research is needed to evaluate the link between stigma, mental health risk and protective factors for adolescent mothers. Highlights: Perceived stigma was influenced by household composition as adolescent mothers in a single-parent household were most likely to report high levels of stigma while stigma risk was reduced for those in a relationship with an intimate partner Stigma experienced in close personal relationships increased depression risk but not stigma linked to public attitudes on adolescent pregnancy Depression risk was reduced for adolescent mothers living in a multigenerational household when the home included a biological mother. [ABSTRACT FROM AUTHOR]

The present study identified dietary patterns (DP) and analyse their association with household composition. This is a cross-sectional school-based study, with a nationally representative sample of Brazilian adolescent students, aged 11–19 years, with data from National School Health Survey (n  102 072). Food consumption was obtained through the weekly frequency of consumption of food markers, and the confirmatory factor analysis was applied to examine the latent variables 'Healthy' (beans, legumes/vegetables and fresh fruit/fruit salad) and 'Unhealthy' (ultra-processed foods, sweets, soft drinks and snacks) DP. The association between household composition and DP was estimated considering lives with both parents as reference category. Among adolescents aged 11–14 years, adherence to healthy DP was lower for boys who lived only with mother (β = –2·1), and boys (β = –4·9) and girls (β = –4·5) who lived without any parents. Adherence to unhealthy DP was higher among boys (β = 7·6) and girls (β = 6·0) who lived only with mother, and boys (β = 4·6) and girls (β = 5·3) who lived only with father. For older adolescents (aged 15–19 years), adherence to the unhealthy DP was higher among boys who lived only with mother (β = 3·9) or only with father (β = 5·3) and girls who lived only with mother (β = 6·3). Adherence to healthy DP was lower among girls who lived only with father (β = –9·0). Thus, adolescents who lived in single-parent households had lower adherence to healthy DP and greater adherence to unhealthy DP. Among younger adolescents of both sexes, living without any parent contributed to lower adherence to healthy DP. [ABSTRACT FROM AUTHOR]

Gardening and food self-provisioning motivations are changing with the country's economic development. While food security is often the main driver for self-provisioning in low-income countries, more diverse motivations exist in high-income countries. This study investigates the motivations for self-provisioning in the Czech Republic and the role of the family composition on the rate of self-provisioning to explore its social benefits. A two-step analysis was employed using data collected from 1 214 respondents. First, an exploratory descriptive statistical analysis was conducted to gain insights into the motivation of different households participating in self-provisioning. Second, binary probit models were used to investigate the characteristics influencing the main motives for self-provisioning. The results of the models revealed that the educational level, income per capita, family structure and area of residence influence the motives for self-provisioning.

It is important to reduce the building load and downsize the heat source equipment capacity during construction or renovation carried out toward the achievement of carbon neutrality by 2050 in Japan. However, this sometimes results in the oversizing of the heat source equipment capacity, despite the fact that designers are engaged in the implementation of safety designs while attempting to balance between cost and risk. This study investigated the simultaneous usage ratio of heating based on occupant behavior in an apartment building with the aim of optimizing this capacity. This ratio was defined as a peak load-based approach rather than simultaneity based on the number of people using the system. First, the analysis was conducted for the heating load characteristics for each dwelling unit and each household composition. The subject of this case study was an apartment building located in Sapporo, Japan. Based on these data, a method for creating the curve of the simultaneous usage ratio to avoid a combinatorial explosion was suggested. As a result, the ratio created for about 200 dwelling units was 53.6% in an apartment building and generally stabilized when the number of dwelling units exceeded 30. Finally, a case study was attempted to analyze the influence of changes in household composition on the ratio. If the method proposed in this study for creating the curve of simultaneous usage ratios were to be applied in not only this case study but also in case studies of non-residential buildings such as offices, new results about the curves of ratios that differ from those of apartment buildings could be obtained. Therefore, this case study provides a methodology for statistically quantifying the simultaneous usage ratio as one of the factors in determining the appropriate heat source equipment capacity in the design stage.

Gardening and food self-provisioning motivations are changing with the country’s economic development. While food security is often the main driver for self-provisioning in low-income countries, more diverse motivations exist in high-income countries. This study investigates the motivations for self-provisioning in the Czech Republic and the role of the family composition on the rate of self-provisioning to explore its social benefits. A two-step analysis was employed using data collected from 1 214 respondents. First, an exploratory descriptive statistical analysis was conducted to gain insights into the motivation of different households participating in self-provisioning. Second, binary probit models were used to investigate the characteristics influencing the main motives for self-provisioning. The results of the models revealed that the educational level, income per capita, family structure and area of residence influence the motives for self-provisioning. [ABSTRACT FROM AUTHOR]

To evaluate the association between pregnancy, lactation after delivery and depressive symptoms in Korean women and to explore the associations according to household composition. We included 34,321 premenopausal women from the Korea Community Health Survey in 2019, a population-based cross-sectional study. We categorized the premenopausal women into 3 groups by questions about whether they were currently in menstruation: reference (women who were not pregnant or lactating after delivery), pregnancy, and lactation after delivery. Depressive symptoms (PHQ-9 ≥ 5) were assessed through questionnaires with trained interviewers. Multiple logistic regression analysis were performed. Among 34,321 participants, 20,790 (60.6 %) had depressive symptoms. In the fully adjusted model, we found a significant association between mild depressive symptoms in lactated women after delivery (odds ratio [OR], 95 % confidence interval [CI] = 1.32 [1.04–1.65]) compared to a reference. Compared to reference, the association between women who were lactation after delivery and depressive symptoms was particularly noticeable in women living in families of 2-generation (OR, 95 % CI = 1.29 [1.00–1.65]) and 3-generation (OR, 95 % CI = 2.53 [1.31–4.89]). We utilized self-reported data on pregnancy and lactation after delivery, this exposure variable may be underestimated. Our study observed associations between lactated women after delivery and depressive symptoms. This association was more pronounced in women living in 3-generation. • Lactated women after delivery were significantly associated with depressive symptoms. • Stratified by household composition, lactated women with three-generation families were associated with depressive symptom. • We utilized nationally representative data, i.e., Korea Community Health Survey (KCHS), to evaluate the mental health of reproductive aged-women. [ABSTRACT FROM AUTHOR]

Objectives: The gut microbiome (GM) connects physical and social environments to infant health. Since the infant GM affects immune system development, there is interest in understanding how infants acquire microbes from mothers and other household members. Materials and Methods: As a part of the Cebu Longitudinal Health and Nutrition Survey (CLHNS), we paired fecal samples (proxy for the GM) collected from infants living in Metro Cebu, Philippines at 2 weeks (N = 39) and 6 months (N = 36) with maternal interviews about prenatal household composition. We hypothesized that relationships between prenatal household size and composition and infant GM bacterial diversity (as measured in fecal samples) would vary by infant age, as well as by household member age and sex. We also hypothesized that infant GM bacterial abundances would differ by prenatal household size and composition. Results: Data from 16 S rRNA bacterial gene sequencing show that prenatal household size was the most precise estimator of infant GM bacterial diversity, and that the direction of the association between this variable and infant GM bacterial diversity changed between the two time points. The abundances of bacterial families in the infant GM varied by prenatal household variables. Conclusions: Results highlight the contributions of various household sources to the bacterial diversity of the infant GM, and suggest that prenatal household size is a useful measure for estimating infant GM bacterial diversity in this cohort. Future research should measure the effect of specific sources of household bacterial exposures, including social interactions with caregivers, on the infant GM. [ABSTRACT FROM AUTHOR]

The uptake of COVID-19 vaccination in Wales is high at a population level but many inequalities exist. Household composition may be an important factor in COVID-19 vaccination uptake due to the practical, social, and psychological implications associated with different living arrangements. In this study, the role of household composition in the uptake of COVID-19 vaccination in Wales was examined with the aim of identifying areas for intervention to address inequalities. Records within the Wales Immunisation System (WIS) COVID-19 vaccination register were linked to the Welsh Demographic Service Dataset (WDSD; a population register for Wales) held within the Secure Anonymised Information Linkage (SAIL) databank. Eight household types were defined based on household size, the presence or absence of children, and the presence of single or multiple generations. Uptake of the second dose of any COVID-19 vaccine was analysed using logistic regression. Gender, age group, health board, rural/urban residential classification, ethnic group, and deprivation quintile were included as covariates for multivariable regression. Compared to two-adult households, all other household types were associated with lower uptake. The most significantly reduced uptake was observed for large, multigenerational, adult group households (aOR 0.45, 95%CI 0.43–0.46). Comparing multivariable regression with and without incorporation of household composition as a variable produced significant differences in odds of vaccination for health board, age group, and ethnic group categories. These results indicate that household composition is an important factor for the uptake of COVID-19 vaccination and consideration of differences in household composition is necessary to mitigate vaccination inequalities. [ABSTRACT FROM AUTHOR]

The early and late introduction of complementary food, both prevalent in Ethiopia, are associated with morbidities, growth faltering and developmental risks in children. The interhousehold network around the primary caregiver's intrahousehold network is critical in influencing the age of introducing complementary foods. This study examined the influence of household composition and structures on complementary food introduction. This is a secondary data analysis of four Ethiopian Demographic and Health Surveys conducted between 2000 and 2016. The household structure and composition variables were calculated from household members' kinship status and attribute, respectively. The introduction of solid, semisolid or soft foods was dichotomised as whether the children within 6 to 8 months have been given complementary foods. Multivariable logistic regression with adjustment for the primary caregiver and household characteristics was run to examine the associations between household structure and composition variables and the introduction of complementary foods. The marginal effects (ME) were calculated to facilitate the practical interpretation of the study findings. Large households (>3 nonredundant contacts) with extended family or unrelated people (high effective size, ME = 6.01%, 95% confidence interval [CI]: −8.53, −3.49) lowered the proportion of children starting food within the recommended 6–8 months. Households with close kins (high constraint) (ME = 7.22%, 95% CI: −13.65, 28.09) and greater age diversity (ME = 0.65%, 95% CI: 0.15, 1.15) increased the proportion of children receiving complementary food at an appropriate age. This study revealed that interhousehold structure and composition influence the age of introduction of complementary foods. These factors, therefore, need to be considered in designing interventions to improve age at the introduction of complementary foods. Key messages: In a large family, women with extended and nonrelated household members had a 6% reduction in the proportion of children starting complementary food within 6–8 months.To our best knowledge, the negative influence of unrelated household members has not been reported before. Future studies might examine their roles and how this household subpopulation can be enabled to support optimal infant feeding.The higher constraint emanating from the interdependence of close kins as in a nuclear family or small household with extended members was associated with a 7.2% increment in the proportion of children starting complementary food at an appropriate age. [ABSTRACT FROM AUTHOR]

Active labour market policies, like training, aim to increase the employability of unemployed population subgroups. Research indicates that the most vulnerable groups—such as women of migrant origin—are less likely to participate in the most effective programmes. Prior studies have established that household composition affects the labour market outcomes of women without and with a migration background. In contrast, research has not addressed the potential relevance of household composition in relation to women’s training uptake. Using hazard models and longitudinal microdata from the employment office and social security registers, we analyse the extent to which women’s household composition such as the presence and the origin of their partner or the presence of children is associated with the uptake of occupation‐specific training in Flanders (Belgium). Our results suggest that, even when we control for previously identified determinants of training uptake such as the human capital of unemployed women, training uptake in most groups varies by household composition. More specifically, the results suggest that women with a partner of non‐migrant origin show higher cumulative uptake than women with a migrant origin partner or single women, and that the presence of children in the household reduces women’s training participation. Furthermore, household composition is found to be a stronger differentiating factor in uptake for migrant origin women than for non‐migrant origin women.

In this article, we describe the life-time family structures, living arrangements, and residential mobility of 612 15-year-old New Zealanders and consider the differences in experiences of children born to younger and older mothers. All participants had a parent who is a member of the Dunedin Multidisciplinary Health and Development Study. Maternal age at the participant’s birth ranged from 16.3 to 41.0 years. Data on young people’s life-time care arrangements, household composition and shifts were collected from their primary caregiver via a life history calendar. Fewer than half lived in a household consisting of two biological parents and only a fifth had lived in a household consisting of only nuclear family members for all 15 years. Most also experienced multiple changes of address (median 6, range 1–27). Those born to older parents tended to have fewer changes to care arrangements and family structures but most young people experienced a substantial degree of change across their lives. These data indicate that complexity and change are normal in young New Zealanders’ living arrangements. We argue that conventional ideas about family structure should be re-examined.

In pursuing Japan’s target of net zero greenhouse gas (GHG) emissions by 2050, decarbonization strategies at the regional level have been taking place nationally. Some successes have been achieved in the residential sector in achieving decarbonization at the regional level due to improvements in the advancement of energy-saving technologies. An important prerequisite to achieving further decarbonization in the residential sector is understanding household electricity consumption of power demand objects. This study constructed a method for predicting residential electricity consumption in a case study region. First, we set up six models of household composition for scenario exercises. Then, we used the residential energy estimation based on daily activities (REEDA) method to calculate the hourly electricity consumption of each household composition in the four seasons based on the duration of daily life activity. Finally, we separately explore the impact of housing performance (insulation, airtightness), air-conditioning patterns (intermittent operation method in a habitable room/continuous operation method in a habitable room/continuous operation method in all rooms), and geographical location on residential air conditional electricity consumption. The output is a regional residential energy estimate method that can consider multiple key variables. We verified the developed model by (1) comparing the estimated output with the Japan Energy Database and (2) testing the method for various residential areas in Japan. The results showed an accuracy level greater than 75% and nationwide applicability.

Abstract The early and late introduction of complementary food, both prevalent in Ethiopia, are associated with morbidities, growth faltering and developmental risks in children. The interhousehold network around the primary caregiver's intrahousehold network is critical in influencing the age of introducing complementary foods. This study examined the influence of household composition and structures on complementary food introduction. This is a secondary data analysis of four Ethiopian Demographic and Health Surveys conducted between 2000 and 2016. The household structure and composition variables were calculated from household members' kinship status and attribute, respectively. The introduction of solid, semisolid or soft foods was dichotomised as whether the children within 6 to 8 months have been given complementary foods. Multivariable logistic regression with adjustment for the primary caregiver and household characteristics was run to examine the associations between household structure and composition variables and the introduction of complementary foods. The marginal effects (ME) were calculated to facilitate the practical interpretation of the study findings. Large households (>3 nonredundant contacts) with extended family or unrelated people (high effective size, ME = 6.01%, 95% confidence interval [CI]: −8.53, −3.49) lowered the proportion of children starting food within the recommended 6–8 months. Households with close kins (high constraint) (ME = 7.22%, 95% CI: −13.65, 28.09) and greater age diversity (ME = 0.65%, 95% CI: 0.15, 1.15) increased the proportion of children receiving complementary food at an appropriate age. This study revealed that interhousehold structure and composition influence the age of introduction of complementary foods. These factors, therefore, need to be considered in designing interventions to improve age at the introduction of complementary foods.

This study employs threshold models to investigate the nonlinear relationship between household composition and residential electricity consumption. Household size and level of electricity use are employed as the threshold variables. Household data are obtained from Taiwan's 2020 Family Income and Expenditure Survey. The results verify that the effects of household composition and household size on household electricity use differ depending on the specific household size and level of electricity use. The economic scale effect on electricity use per capita due to an additional member only appears for households with three or more members. Among households with one or two members, an increase in the number of members aged 25–44 years results in more electricity use than an increase in the number of members of other age groups, reflecting the inefficient electricity use among those aged 25–44 years. Moreover, the economic scale effect of an increasing number of members is weaker for households using more electricity. For households with the highest level of electricity use, an elderly member would contribute to more electricity use than a member of another age group. Given the trends of demographic change and global warming, electricity demand can be expected to increase in the future due to population aging, declining family size, and higher dependency on electricity. Policy makers should improve residential electricity efficiency and adopt strategies specifically for small households. [ABSTRACT FROM AUTHOR]

In recent decades, new administrative capitals (NACs) are being developed in Asia and developing countries due to the overcrowding of capitals and large cities. The self-sufficiency of a planned city is considered important for balanced national development. However, no study has specifically analyzed the degree of self-sufficiency of NACs. Therefore, focusing on the city of Sejong (NAC, South Korea) as an example, this study evaluated self-sufficiency using data regarding household composition and travel characteristics. The results of the three-step analysis are as follows: First, the commuting distance of the NAC was longer than that of traditionally developed cities, with relatively little internal commuter traffic in the NAC. Second, commuting to and from the NAC was primarily to large cities nearby. Third, regarding the characteristics of households living in the NAC, the ratio of second-generation households was higher and that of single-person households was relatively small compared with traditional cities. In addition, a spatial correlation in the form of a longer commuting distance in the second generation and shorter commuting distance in single-person households was confirmed. The findings of this study hold important implications for policymakers and urban planning bodies when developing an NAC. [ABSTRACT FROM AUTHOR]

BackgroundThe issue of population aging in rural China is getting profound; nevertheless, its impact on food consumption has not been well evaluated. This study aims to examine the relationship between rural aging and family food consumption in rural China.Materials and methodsUsing the statistical yearbook data and the nationally representative household-level data from the China Rural Fixed Observation Points, this study compares the evolution of food consumption between rural and urban residents from 1985 to 2020 and analyzes the structure of food consumption expenditure of rural residents. Next, this study further investigates the impact of aging on food consumption in rural households with ordinary least squares.Results(1) The principal foods consumed by rural residents in 2020 are meat and meat products (36.8%), grain (24.5%), and vegetables (10.9%). (2) An increase in older adults has decreased the absolute consumption of all foods, while it increased relative consumption of meat and meat products, aquatic products, edible oil and fats, poultry, eggs, and sugar. (3) Due to differences in the structure of young adults’ food consumption, older adults would increase their consumption of fruits and vegetables if they lived with younger adults.ConclusionThe findings of this study suggest that rural older adults may increase their consumption of fruits and vegetables by advocating intergenerational cohabitation while maintaining their intake of protein to achieve a balanced dietary structure and improve their health condition.

Older women are more likely to live alone in later life in the UK; however, relatively little is known as to how this has an association with poorer health. This paper attempts to fill this research gap, assessing if living alone is a risk factor for poorer health in later life. The Household Panel Survey data, wave 8 were used which was collected during 2017 in the United Kingdom. Women's household types were divided into three types: living alone, living with a partner and living with others (not a partner). Seven health and wellbeing outcome variables were used. Descriptive analysis and regression analyses examined the role of living alone in predicting health and wellbeing, controlling for demographic and socioeconomic (SES) factors. Results showed significant differences between the household types. However, living alone was not found to be a risk factor for poorer health once SES variables were included in the regression models. While there were differences in the health and wellbeing of the three household composition types, these differences were not found to be significant once demographic and socioeconomic variables were accounted for. Future UK policy should aim to reduce inequalities in SES throughout the life course to improve health and wellbeing in later life. Future research directions include a more detailed examination of the determinants of health of this population. [ABSTRACT FROM AUTHOR]

Households are important health contexts, providing social, emotional, financial and material support, but little is known about the role of household composition in the social etiology of Indigenous health. Our research is framed by an Indigenous standpoint, using eight waves of data from the Longitudinal Study of Indigenous Children. We investigated whether household composition and change in household composition were associated with the self-reported general health of Indigenous children and their mothers, adjusting for socioeconomic, household structure and social support factors. Our measure of household composition comprised eight groups differentiating lone and couple parents, living with and without other children and adults. Study children in couple households with other children and adults were 16% less likely to have excellent health and mothers in these same households were 7% less likely to report excellent health than children and mothers in couple households. We find little evidence that mothers in lone parent households have poorer health than mothers in couple households, after adjustment for covariates. Change in household composition was positively associated with health for both children and mothers. The results caution against presuming a direct translatability of research findings from non-Indigenous to Indigenous Peoples. [ABSTRACT FROM AUTHOR]

By examining HT ht over time, we evaluate whether the fixed effect model is appropriate and whether the long-term effect of the spousal loss is different from the short-term effects. Next, we use predicted probability HT ht and assign HT ht to all observations as weights. We therefore, exclude variables that are directly affected by the spousal loss in vector HT ht . Estimating the above equation using OLS will likely be biased because we expect that HT ht and HT ht are correlated. The remaining variables are the same as in model (1). HT ht is normalized to zero at two years before spousal loss was first reported. [Extracted from the article]

Changes in the structural characteristics of the population, such as age structure, household size, and number of households indicate shifts in the population age structure, moving from the younger towards the older populations and result in the reduction of household size. Former extended families have turned into a nuclear and even one-person household. Shifts in household status, both household composition, and household size lead to the formation of a new housing typology. It can affect the type, number, and floor area of residential units as well as the amount of embodied energy used in the wet zones (kitchen, bathroom, and toilet), which are fixed, inflexible and costly areas of a residential unit. This study attempts to investigate the effect of demographic transition on the housing typology and embodied energy consumption of wet zones. The research is based on a case study: first, the changes in the population characteristics were examined by referring to the data published by the statistics Center of Iran. Then a field survey of residential buildings was started, to identify the number of floors, and the number of residential units. Then interviews with 15 developers have be conducted to investigate the significant changes in the housing typology and the common plan of the area. The common plan of residential units was then examined to assess the floor areas of wet zones and to compare their ratios to dry zones. In the next step, the amount of materials and embodied energy in each wet zone were calculated. The analysis of the reports by the statistics Center of Iran on the case study showed an age transition from the younger to the older, a decrease in the household size, and a change in the housing typology in the case study. The interview with developers and field survey on 831 land plots indicated three periods of changes in the housing typology in the case study between 1987 and 2018. During each period, in each plot of land, more residential units with fewer floor areas were built and the amount of embodied energy used by the wet zones increased. [ABSTRACT FROM AUTHOR]

This paper provides a European-level analysis using a large-scale survey of 13 countries to examine the power of relevant economic and socio-demographic characteristics to account for changes in food consumption and purchasing behavior during COVID-19. This was done by focusing on a two-level analysis of subject-related predictors highlighted in many existing country-level studies to test the generality of their significance. The Level 1 predictors relate to the individual households participating in the survey consisting of household composition, education, and location, as well as three types of perceived COVID-19 risks of infection, severity, and anxiety. Level 2 relates to the national level, and especially to the financial situation measured by the mean national Actual Individual Consumption (AIC) per capita in PPP, of the countries, in which the households reside. In terms of changes in food consumption, results show that household composition, education, and the household’s perceived risk of both being infected by COVID-19 and being severely infected are significant predictors, although there are some differences between the two levels. Some possible explanations are as follows: putting food into one’s body in the context of the pandemic is related to a household’s financial situation, its composition, especially the presence or absence of children and older people, and its educational attainment, and through all these aforementioned to the perception of COVID-19 infection and its severity risks. Changes in food purchasing react significantly to the same predictors, but additionally, to all other predictors at both household and AIC levels. The household’s location and perceived COVID-19 anxiety risks are thus also significant. Food purchasing depends much more on factors operating both at the individual household level and the AIC level together; for example, households’ access to food is affected by both national and local lockdown restrictions that vary according to the location of the household.

Objectives Household overcrowding is associated with adverse health outcomes, including increased risk of infectious diseases, mental health problems, and poor educational attainment. We investigated inequalities in overcrowding in an urban, ethnically diverse, and disadvantaged London population by pseudonymously linking electronic health records (EHR) to Energy Performance Certificates (EPC) data. Approach We used pseudonymised Unique Property Reference Numbers to link EHRs for 1,066,156 currently registered patients from 321,318 households in north-east London to EPC data. We measured household occupancy and derived the bedroom standard overcrowding definition (number of rooms relative to occupants’ sex and ages) to estimate overcrowding prevalence. We examined associations with: household composition (adults only, single adult+children, ≥2 working-age adults+children, ≥1 retirement-age adults+children, three-generational household); ethnic background (White, South Asian, Black, Mixed, Other, missing); and Index of Multiple Deprivation (IMD) quintile. We used multivariable logistic regression to estimate the adjusted odds (aOR) and 95% Confidence Intervals (CI) of overcrowding. Results Overall, 243,793 (22.9%) people were overcrowded. People living in households with children, or three-generational households were more likely (aOR [95% CI] 3.79 [3.74 - 3.84]; 6.53 [6.41 - 6.66] respectively), and single adults or retirement age adults with children less likely (0.36 [0.35 - 0.38]; 0.36 [0.23 - 0.57] respectively), to be overcrowded. Overcrowding was more likely among people from Asian or Black ethnic backgrounds (1.24 [1.22 - 1.25] and 1.17 [1.15 - 1.19] respectively). There was a dose-response relationship between IMD quintile and overcrowding: OR 0.20 [0.20 - 0.21] in the least deprived compared to most deprived quintile. Conclusion One in five people in north-east London live in overcrowded households with marked inequalities by ethnicity, household generational composition, and deprivation. Up-to-date estimates of household overcrowding can be derived from linked housing and health records and used to evaluate the impact of economic policies on health and housing inequalities.

In this article, we describe the life-time family structures, living arrangements, and residential mobility of 612 15-year-old New Zealanders and consider the differences in experiences of children born to younger and older mothers. All participants had a parent who is a member of the Dunedin Multidisciplinary Health and Development Study. Maternal age at the participant's birth ranged from 16.3 to 41.0 years. Data on young people's life-time care arrangements, household composition and shifts were collected from their primary caregiver via a life history calendar. Fewer than half lived in a household consisting of two biological parents and only a fifth had lived in a household consisting of only nuclear family members for all 15 years. Most also experienced multiple changes of address (median 6, range 1–27). Those born to older parents tended to have fewer changes to care arrangements and family structures but most young people experienced a substantial degree of change across their lives. These data indicate that complexity and change are normal in young New Zealanders' living arrangements. We argue that conventional ideas about family structure should be re-examined. [ABSTRACT FROM AUTHOR]

BackgroundContraceptive use in Nigeria has been consistently low despite its many benefits and several efforts by government and development partners to increase its uptake. According to the Nigeria Demographic and Health Survey, the use of any modern method staggeringly increased from 4 to 12% over 28 years (1990–2018). Studies have identified factors at the individual, household, and societal levels that affect contraceptive use. While studies have also shown that decisions such as contraceptive behavior and acquisition of family skills may vary according to the individual or societal factors, there is a dearth of knowledge on how household structure and composition influence contraceptive use in Nigeria. This article seeks to contribute to the body of knowledge by exploring contraceptive use within the household context.MethodWe used data from the 2018 Nigeria Demographic and Health Survey to examine the relationship between household structure and contraceptive use. We excluded pregnant and non-married women at the time of the survey from the sample and used multinomial regression analysis to examine the likelihood of using traditional or modern methods of contraception.ResultsResults show that having a large household size, and the presence of multiple wives in the household significantly reduces the likelihood of using any method of contraceptive. The result further shows a significant association between household wealth index and contraceptive use as the use of any method increases with household wealth index, with those from richest households being twice as likely as their counterparts in the poorest households to use traditional methods (OR:2.02, p < 0.05). Also, women living in households headed by older men (25 and above), households with under 5 children, and those living in rural areas have significantly reduced likelihood of using any method.ConclusionThis study highlights the dynamics of contraceptive use among married women considering household composition. While our study serves as a primer to understanding contraceptive use in households where a woman and her spouse are usual household members, improved family planning interventions to increase uptake through demand creation will require deeper and more comprehensive work to understand the dynamics among women in more complex household settings.

The uptake of COVID-19 vaccination in Wales is high at a population level but many inequalities exist. Household composition may be an important factor in COVID-19 vaccination uptake due to the practical, social, and psychological implications associated with different living arrangements. In this study, the role of household composition in the uptake of COVID-19 vaccination in Wales was examined with the aim of identifying areas for intervention to address inequalities. Records within the Wales Immunisation System (WIS) COVID-19 vaccination register were linked to the Welsh Demographic Service Dataset (WDSD; a population register for Wales) held within the Secure Anonymised Information Linkage (SAIL) databank. Eight household types were defined based on household size, the presence or absence of children, and the presence of single or multiple generations. Uptake of the second dose of any COVID-19 vaccine was analysed using logistic regression. Gender, age group, health board, rural/urban residential classification, ethnic group, and deprivation quintile were included as covariates for multivariable regression. Compared to two-adult households, all other household types were associated with lower uptake. The most significantly reduced uptake was observed for large, multigenerational, adult group households (aOR 0.45, 95%CI 0.43–0.46). Comparing multivariable regression with and without incorporation of household composition as a variable produced significant differences in odds of vaccination for health board, age group, and ethnic group categories. These results indicate that household composition is an important factor for the uptake of COVID-19 vaccination and consideration of differences in household composition is necessary to mitigate vaccination inequalities.

Aims: This study aims to investigate the association between household crowding and household composition and self-rated health and mental health (GHQ scale) among the Inuit in Greenland. Poor housing conditions are a concern in Greenland, especially in the villages, where socioeconomic standards in general are lower. Methods: A cohort of 1282 adults participated in two population-based surveys in Greenland, the Inuit Health in Transition survey 2005–2010 (baseline) and The Health Survey in Greenland 2014 (follow-up). Associations between household conditions at baseline and health outcomes at follow-up (poor self-rated health and mental health measured by the GHQ scale) were examined using logistic regression models, adjusting for covariates at baseline. Results: Participants living in an overcrowded dwelling (more than one person per room) at baseline were more likely to report poor self-rated health at follow-up (OR 1.47; 95% CI 1.09; 1.99) compared with those not living in an overcrowded dwelling. In addition, participants who lived alone at baseline were more likely (OR 1.98; 95% CI 1.09; 3.58) to experience poor mental health at follow-up compared with those who lived with children. Conclusions: Results indicate that household conditions are related to health in Greenland. Public health authorities should work to ensure affordable housing of good quality in all communities. [ABSTRACT FROM AUTHOR]

Social changes have resulted in an increase of students living in households that do not include both a mother and a father, reducing the efficacy of common survey questionnaire approaches to measuring student socioeconomic status (SES). This paper presents two studies conducted to develop and test a new, more inclusive set of student SES items appropriate for students from a range of household types. In the first study, we held group interviews with 57 students in Grades 4, 8, and 12 who lived in four nontraditional household types. The study goal was, first, to understand how students thought about their household members and learn what they knew about the educational background and employment status of their caregivers and, second, to develop draft items based on these findings. In the second study, we held 51 individual cognitive interviews with a similar sample to evaluate draft item clarity and function. We found that although students may live with a broad range of family members and other adults, they understood the term caregiver to refer to a person who provides resources and support. Students found it easier to answer items when the items included the titles of their caregivers. Our results demonstrate that a customizable approach to measuring student SES allows more students to report information about their caregivers than the current standard of asking about mothers and fathers. We provide recommendations for student SES measurement and potential next steps for research on this topic. Report Number: RR‐21‐18 [ABSTRACT FROM AUTHOR]