Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study.

PURPOSE: Population ageing and rising poverty are two of the most pressing issues today, even in Western European nations, growing as a result of the recent global economic crisis and the COVID-19 containment measures. This study explores the relationship between long-term care (LTC) needs and risk of poverty at household level in eight European countries, representing the different European care regimes. METHODS: The main international databases were scoured for study variables, categorized according to the following conceptual areas: home care, residential care, health expenditure, service coverage, cash benefits, private services, population, family, education, employment, poverty, disability and care recipients, and life expectancy. We initially identified 104 variables regarding 8 different countries (Austria, Finland, Germany, the Netherlands, Italy, Spain, Poland, Romania). Statistical analyses were conducted as described hereafter: analysis of the Pearson's Bivariate Correlation between the dependent variable and all other variables; a Multivariable Linear Regression Model between the Poverty Index (dependent variable) and the covariates identified in the preceding step; a check for geographical clustering effects and a reduced Multivariable Linear Regression Model for each identified European cluster. RESULTS: The variables that addressed the risk of poverty pertained to the area of policy intervention and service provision. Rising private out-of-pocket health expenditures and proportion of "poor" couples with at least one child are two factors that contributed significantly to poverty increasing. Moreover, rising private out-of-pocket health expenditures for covering LTC needs (even in presence of public financial contribution to the family) is the main contributor to household poverty increasing in presence of ADL disability. CONCLUSION: The results reveal the existence of a clear correlation between the need for LTC and the risk of poverty in households across Europe. These results highlight the central relevance of LTC policies, which are often still treated as marginal and sectoral, for the future sustainability of integrated care strategies.

Poverty and birth cohort effects of experiencing the 2007-2009 Great Recession during adolescence on major depressive episodes and mental health treatment of young adults in the United States.

PURPOSE: Household economic adversity during adolescence is hypothesized to be a risk factor for poor mental health later in life. To test this hypothesis, we conducted a quasi-experimental analysis of an economic shock, the Great Recession of 2007-2009. We tested if going through adolescence during the Great Recession was associated with increased risk of major depressive episodes (MDE) and mental health treatment in young adulthood with potential moderation by household poverty to explore differences by economic adversity. METHODS: We analyzed data on young adults age 18-29 years from the 2005-2019 National Survey on Drug Use and Health (N = 145,394). We compared participants who were adolescents during the recession to those followed-up prior to the recession. Regression analysis tested effect modification by household poverty status. RESULTS: Adolescent exposure to the Great Recession was associated with higher likelihood of MDE during young adulthood (aOR = 1.30, 95% CI = 1.23, 1.37); there was no relationship with mental health treatment. Effects on MDE were stronger among those in households with higher incomes compared to those living in poverty. CONCLUSION: Findings support the hypothesis that exposure to the Great Recession during adolescence may have increased risk for MDE, but raise questions about whether the mechanism of this association is economic distress.

Schizophrenia, social support, caregiving burden and household poverty in rural China.

PURPOSE: Household poverty associated with schizophrenia has been long described. However, the mechanisms by which schizophrenia may have influenced the economic status of a household in rural communities are still unclear. This study aimed to test an integrated model of schizophrenia, social support and caregiving burden on household poverty in a rural community in China. METHODS: A mental health survey using identical methods and ICD-10 was conducted in six townships of Xinjin County (population ≥ 15 years old, n = 152,776), Chengdu, China in 2015. Identified persons with schizophrenia (n = 661) and their caregivers completed a joint questionnaire of sociodemographic information, illness conditions, social support and caregiving burden. Descriptive analysis was applied first to give an overview of the dataset. Then, multivariable regression analyses were conducted to examine the associative factors of social support, caregiving burden and household income. Then, structural equation modeling (SEM) was used to estimate the integrated model of schizophrenia, social support, caregiving burden and household income. RESULTS: Households with patient being female, married, able to work and having better social function were better off. Larger household size, higher social support and lower caregiving burden also had salient association with higher household income. The relationship between schizophrenia and household poverty appeared to be mediated by the impacts of schizophrenia on social support and caregiving burden. CONCLUSION: There was a strong association between schizophrenia and household poverty, in which social support and caregiving burden may had played significant roles on mediating it. More precise poverty alleviation policies and interventions should focus on supporting recovery for persons with schizophrenia, as well as on increasing social support and on reducing family caregiving burden.

Employment Insecurity and Material Deprivation in Families with Children in the Post-Great Recession Period: An Analysis for Spain and Portugal.

The aim of this paper is to analyse the relationship between household employment insecurity and the risk of children's exposure to household material deprivation in Spain and Portugal. Specifically, using EU-SILC microdata for 2012, 2016 and 2020, it examines how this relationship evolved during the Post-Great Recession period. Although in both countries there was an improvement in the employment situation of individuals and families after the Great Recession, the main findings reflect an increase in the risk of children's exposure to material deprivation in households where no adults have a secure job. However, there are some differences between the two countries. In the case of Spain, the results seem to indicate that the incidence of household employment insecurity on material deprivation was higher in 2016 and 2020 than in 2012. In Portugal, the increase in the effect of employment insecurity on deprivation seems to have occurred only in 2020, the year the Covid-19 pandemic began.

The Impact of Mobile Payment on Household Poverty Vulnerability: A Study Based on CHFS2017 in China.

Changes in digital technology have brought about new opportunities in the field of financial poverty alleviation in China, and mobile payment as a new digital financial model is important in helping families to lift themselves out of poverty effectively and prevent a return to poverty. This paper examines the impact of mobile payment on household poverty vulnerability and the mechanism of action using the China Household Finance Survey (CHFS) 2017 microsurvey data. After adopting the IVprobit model and a series of robustness tests, we found: (1) mobile payment significantly negatively impacts household poverty vulnerability; (2) the mechanism analysis indicates that promoting entrepreneurship and improving risk management capabilities are the main channels through which mobile payment mitigates household poverty vulnerability; (3) household entrepreneurship and entrepreneurial survival significantly reduce the probability of poverty vulnerability; and (4) the probit regression analysis explores how mobile payment has a greater negative impact on poverty vulnerability among low-income, homeless, and relatively backward households in rural or western areas. This work contributes to the literature on the use of electronic communication technology to eradicate poverty and on inclusive finance, providing vital results for other countries to use as an example.

Quantifying the association of natal household wealth with women's early marriage in Nepal.

BACKGROUND: Women's early marriage (<18 years) is a critical global health issue affecting 650 million women worldwide. It is associated with a range of adverse maternal physical and mental health outcomes, including early childbearing, child undernutrition and morbidity. Poverty is widely asserted to be the key risk factor driving early marriage. However, most studies do not measure wealth in the natal household, but instead, use marital household wealth as a proxy for natal wealth. Further research is required to understand the key drivers of early marriage. METHODS: We investigated whether natal household poverty was associated with marrying early, independently of women's lower educational attainment and broader markers of household disadvantage. Data on natal household wealth (material asset score) for 2,432 women aged 18-39 years was used from the cluster-randomized Low Birth Weight South Asia Trial in lowland rural Nepal. Different early marriage definitions (<15, <16, <17 and <18 years) were used because most of our population marries below the conventional 18-year cut-off. Logistic mixed-effects models were fitted to estimate the probabilities, derived from adjusted Odds Ratios, of (a) marrying at different early ages for the full sample and for the uneducated women, and (b) being uneducated in the first place. RESULTS: Women married at median age 15 years (interquartile range 3), and only 18% married ≥18 years. Two-thirds of the women were entirely uneducated. We found that, rather than poverty, women's lower education was the primary factor associated with early marriage, regardless of how 'early' is defined. Neither poverty nor other markers of household disadvantage were associated with early marriage at any age in the uneducated women. However, poverty was associated with women being uneducated. CONCLUSION: When assets are measured in the natal household in this population, there is no support for the conventional hypothesis that household poverty is associated with daughters' early marriage, but it is associated with not going to school. We propose that improving access to free education would both reduce early marriage and have broader benefits for maternal and child health and gender equality.

Household poverty in people with severe mental illness in rural China: 1994-2015.

BACKGROUND: Little is known about poverty trends in people with severe mental illness (SMI) over a long time span, especially under conditions of fast socioeconomic development. AIMS: This study aims to unravel changes in household poverty levels among people with SMI in a fast-changing rural community in China. METHOD: Two mental health surveys, using ICD-10, were conducted in the same six townships of Xinjin county, Chengdu, China. A total of 711 and 1042 people with SMI identified in 1994 and 2015, respectively, participated in the study. The Foster-Greer-Thorbecke poverty index was adopted to measure the changes in household poverty. These changes were decomposed into effects of growth and equity using a static decomposition method. Factors associated with household poverty in 1994 and 2015 were examined and compared by regression analyses. RESULTS: The proportion of poor households, as measured by the headcount ratio, increased significantly from 29.8% in 1994 to 39.5% in 2015. Decomposition showed that poverty in households containing people with SMI had worsened because of a redistribution effect. Factors associated with household poverty had also changed during the study period. The patient's age, ability to work and family size were of paramount significance in 2015. CONCLUSIONS: This study shows that the levels of poverty faced by households containing people with SMI has become more pressing with China's fast socioeconomic development. It calls for further integration of mental health recovery and targeted antipoverty interventions for people with SMI as a development priority.