The Moderation of Middle-Generation Support on the Relation of Stress and Depression in Coresident Grandparents

Consistent with Cohen & Wills’ Buffering Hypothesis, social support has been found to moderate the relation between stress and depressive symptoms but has yet to be examined among coresident grandparents (CGPs), a population at risk of increased stress and depression. The current study sought to extend the model to this highly prevalent, vulnerable population. Participants were 180 grandparents across the USA living with their grandchildren. Measures included depression, stress, and satisfaction with support provided by the middle generation (MG) parent of the grandchild. After controlling for age, gender, income, and household type (skipped or multi-gen), MG support moderated the relation between perceived stress and depressive symptoms, accounting for 49% of variance. For CGPs least satisfied with support provided by the MG, the more stress, the higher their depressive symptoms. These findings indicate that improving relationships with grandchildren’s parents is an important avenue for interventions focused on grandparent caregivers’ mental health.

Household-Specific Physical Activity Levels and Energy Intakes According to the Presence of Metabolic Syndrome in Korean Young Adults: Korean National Health and Nutrition Examination Survey 2016‒2018

Background: Participation in exercise, and dietary and nutritional intakes have an impact on the risk and prevalence of metabolic syndrome (MetS), but these effects may differ according to whether a person lives alone or in a multi-person household. We analyzed differences in physical activity (PA) levels and energy intake according to household-type and MetS presence among young adults, to investigate the relationships among these factors.Methods: Data of 3,974 young adults (aged > 19 years and < 40 years) were obtained from the Korean National Health and Nutrition Examination Survey (2016‒2018). We analyzed PA levels (occupational and recreational PA, and place movement) and energy intake (total, carbohydrate, protein, and fat). Results: Logistic regression data showed that low PA levels and higher energy intake were associated with MetS incidence and its components in young adults, after adjusting for body mass index, smoking, household-type, and sex. Overall, there was no significant difference in PA level between the MetS and non-MetS group. The total energy intake was higher in the MetS than in the non-MetS group (p < 0.05). These results were similar to those found in multi-person households. In single-person households, the MetS group had significantly lower PA levels (p < 0.01) and total energy intake (p < 0.05) than the non-MetS group.Conclusions: We found significant association among low PA levels, high energy intake, and MetS components in young Korean adults, but with patterns differing according to household type. Energy intake was higher in young adults with than those without MetS, who lived in multi-person households, while young adults with MetS who lived alone had lower PA levels and lower energy intake than those without MetS. These findings highlight the need for different approaches of implementing PA and nutrition strategies according to the type of household in order to prevent MetS.

Can Assets Determine Family Happiness?

Ownership of assets can be assessed as the success of individual achievement in his life goals. It certainly can make individuals feel satisfied with the efforts they have made. Life satisfaction is one of the dimensions used by BPS to measure happiness. Thus, this study will analyze the effect of asset ownership on happiness. The data used in this study are data from the Indonesia Family Life Survey (IFLS) wave 5 of 2014. Analysis of the model in this study uses logistic regression for analysis in Java and outside Java Island. This study found that ownership of assets (jewelry, savings, vehicles, receivables), health, gender of the head of the household, type of residential, mobile phone, television, and access to the internet have a significant effect on household happiness. At the same time, other assets (houses/other buildings, land), number of household members, type of floor, and residential area (urban, rural) have no effect in determining of happiness of the household. The finding in this study also states that the probability of household happiness will be higher outside Java Island.

Income-dependent equivalence scales: A fresh look at German micro-data

Income inequality and poverty risks receive a lot of attention in public debates and current research. To make income comparable across different types of households, applying the “(modified) OECD scale” – an equivalence scale with fixed weights for each household type – has become a quasi-standard in research. Instead, we derive a base-dependent equivalence scale allowing for scale weights that vary with income, building on micro-data from Germany. Our results suggest that appropriate equivalence scales are much steeper at the lower end of the income distribution than they are for higher income levels. We illustrate our findings by applying them to data on family income differentiated by household types. It turns out that using income-dependent equivalence scales matters for applied research on income inequality, especially if one is concerned with the composition, not just the size of the population at poverty risk.

Comparison of Dietary Behaviors and the Prevalence of Metabolic Syndrome in Single- and Multi-Person Households among Korean Adults

Changes in household dynamics in Korea, such as the transition from multi- to single-person households, have led to changes in individuals’ dietary behavior patterns and health status. Thus, this study aimed to compare dietary behaviors and determine the prevalence of metabolic syndrome (MetS) as well as explore factors associated with MetS according to household type among Korean adults. Using data from the Korea National Health and Nutrition Examination Survey 2014–2018, we included 21,944 Korean adults with available health examination and dietary recall data. Based on self-reported information, individuals were divided into two household types: single- and multi-person households. We used multivariable logistic regression to estimate the adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for MetS and its components after adjusting for potential covariates. Among the study population, 9.19% and 90.81% lived in single-person and multi-person households, respectively. Individuals in single-person households had a higher energy intake overall and a greater percentage of energy from animal protein; total, saturated, and monounsaturated fats; and animal source foods and a lower percentage of energy from carbohydrates, plant protein, and plant source foods than those from multi-person households (all, p < 0.05). Individuals living in single-person rather than multi-person households were more likely to consume milk/dairy products, alcoholic and non-alcoholic beverages, oils/fats, and others but were less likely to consume vegetables/mushrooms, fruits, seaweeds, and fish/shellfish (all, p < 0.05). Living alone was associated with higher energy intake from main meals and foods prepared away from home but a lower dietary variety score and fewer total main meals consumed (all, p < 0.05). Skipping breakfast, frequent eating out, food insecurity, and MetS combination phenotypes significantly differed by household type. Individuals living alone had higher odds of MetS (AOR: 1.14, 95% CI: 1.02–1.29), abdominal obesity (AOR: 1.14, 95% CI: 1.01–1.28), elevated blood pressure (AOR: 1.28, 95% CI: 1.12–1.47), and elevated fasting blood glucose (AOR: 1.18, 95% CI: 1.05–1.33) than those living with others. Compared with those in multi-person households, individuals in single-person households tend to have health and dietary behaviors that increase vulnerability to MetS; therefore, establishing health care strategies and nutrition policies according to household type is necessary.

Unpicking the Inter-relationships Between Off-Farm Livelihood Diversification, Household Characteristics, and Farm Management in the Rural Andes

Rural households across the world are increasingly turning to off-farm sources of income to complement or replace farm income. A better understanding of these livelihood adaptations, their consequences, and the processes behind them will facilitate more effective rural development policies and projects. The objective of this research was to examine how off-farm income influences rural livelihoods, elucidate factors that determine different livelihood strategies, as well as understand how these livelihood strategies are associated with different approaches to farm management. Using data from 588 Rural Household Multi-Indicator Surveys (RHoMIS) in three rural Andean regions in Bolivia, Ecuador, and Peru, we identified a typology of farming household livelihood strategies, and assessed the differences among these household types with regard to household and farm level characteristics, and farm management. We found that among the household types that incorporated off-farm income into their livelihood strategies, there were significant differences in approaches to farm management. Specifically, we observed an increased use of industrialized farming techniques among one household type, a deintensification, or a stepping-out of farming activities in another household type, and a tendency toward livestock specialization in the other household type. Moreover, our findings revealed that household level characteristics (age and education level of head(s) of household, and household composition) played an important role in mediating which type of livelihood strategy the households employed. For example, “stepping-out” households generally had younger and more educated household heads. Location-specific factors such as access to markets, irrigation, and off-farm employment opportunities were also likely to be highly influential in terms of which pathways farming households adopted as their livelihood strategy. We conclude that rural development programmes and projects must be driven by the rural communities themselves taking into account this heterogeneity in household characteristics and livelihoods and engaging in the already advanced conversations around different approaches to farming and the conservation of common natural resources.

Trapped in inactivity? Social assistance and labour supply in Austria

Financial incentives affect the labour supply decisions of households. However, the impact usually varies significantly across household types. Whilst there is a substantial amount of literature on the labour supply effects of tax reforms and in-work benefits, the impact of changes in social assistance benefits has received less attention. This paper analyses labour supply responses to changes in social assistance. We show that labour supply elasticities vary substantially across gender and household type. Women exhibit higher labour supply elasticities, both on the intensive and the extensive margins. Additionally, labour supply elasticities are typically higher for singles and for households with children. Using these results, we analyse the impact of the Austrian reform proposal “Neue Sozialhilfe” (New Social Assistance), which was introduced in 2019 and substantially cut social assistance benefits for migrants and families with children. The overall effects of the reform are especially strong for men and migrants. Migrants and couples with children, that is, the groups hardest hit by the reform’s social assistance reductions, show the strongest labour supply reactions to the New Social Assistance. Furthermore, we show that overall, the reform is expected to have a positive, but small, effect on the intensive margin of labour supply.