Early-life exposure to parental mental distress and adulthood depression among middle-aged and elderly Chinese

Predicting depression in old age: Combining life course data with machine learning

With ageing populations, understanding life course factors that raise the risk of depression in old age may help anticipate needs and reduce healthcare costs in the long run. We estimate the risk of depression in old age by combining adult life course trajectories and childhood conditions in supervised machine learning algorithms. Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we implement and compare the performance of six alternative machine learning algorithms. We analyse the performance of the algorithms using different life-course data configurations. While we obtain similar predictive abilities between algorithms, we achieve the highest predictive performance when employing semi-structured representations of life courses using sequence data. We use the Shapley Additive Explanations method to extract the most decisive predictive patterns. Age, health, childhood conditions, and low education predict most depression risk later in life, but we identify new predictive patterns in indicators of life course instability and low utilization of dental care services.

The impact of urban green space on the health of middle-aged and older adults

Introduction

Urban green space is one of the most closely related ecosystem services to residents' lives, and it can be regarded as a preventive public health measure. Residents living in parks and other green environments can help improve their physical and mental health, reduce stress and even prevent crime and violence. Therefore, based on the actual situation in China, this paper analyzes the relationship between urban green space and the health of middle-aged and older adults and its mechanisms.

Methods

This study used multiple linear regression, based the data from the China Health and Retirement Longitudinal Study (CHARLS) in 2013, 2015, and 2018, to explore the relationship between urban green space and the health of middle-aged and older adults. At the same time, group regression was conducted to identify the heterogeneity of health effects of urban green space.

Results

The research shows that the increase of urban green space areas can significantly improve the health status of middle-aged and older adults. After a series of robustness tests, the results are still valid. In addition, the health effects of urban green space are different because of gender, age, education level, marital status residence, geographical location of the respondents and park quantity distribution. Further research found that reducing hot weather and optimizing air quality are the potential mechanisms of urban green space affecting the health of middle-aged and older adults, providing new evidence for the causal mechanism between urban green space and the health of middle-aged and older adults.

Discussion

This study expanded the research scope of the impact of urban green space on the health of middle-aged and older adults, covering a representative sample in China. The results show that urban green space has an important impact on the health of middle-aged and older adults. Policy suggestions are made to help cities optimize the landscape and residents to enjoy ecology.

Economic Evaluation of Family-Focused Programs When Parents Have a Mental Health Problem: Methodological Considerations

OBJECTIVES

The nature of adverse effects of parental mental health problems and of the interventions to address them may require specific designs of economic evaluation studies. Nevertheless, methodological guidance is lacking. We aim to understand the broad spectrum of adverse effects from parental mental health problems in children and the economic consequences on an individual and societal level to navigate the design of economic evaluations in this field.

METHODS

We conducted a systematic literature search of empirical studies on children's adverse effects from parental mental illness. We clustered types of impact, identified individual and public cost consequences, and illustrated the results in an impact inventory.

RESULTS

We found a wide variety of short- and long-term (mental) health impacts, impacts on social functioning and socioeconomic implications for the children individually, and adverse effects on the societal level. Consequently, public costs can occur in various public sectors (eg, healthcare, education), and individuals may have to pay costs privately.

CONCLUSIONS

Existing evaluations in this field mostly follow standard methodological approaches (eg, cost-utility analysis using quality-adjusted life-years) and apply a short-time horizon. Our findings suggest applying a long-term time horizon (at least up to early adulthood), considering cost-consequence analysis and alternatives to health-related quality of life and quality-adjusted life-years as outcome measures, and capturing the full range of possible public and private costs.

The relationship between early-life conditions in the home country and adult outcomes among child immigrants in the United States

We examine the impact of health and economic conditions at birth on the adult outcomes of child immigrants using the Children of Immigrants Longitudinal Study. Our sample consists of children from 39 countries who were brought to the United States before the age of 13. We estimate immigrant outcomes as a function of the infant mortality rate (IMR) and GDP per capita of their home country in the year of birth, controlling for birth-year, year-of-arrival and country-of-birth fixed effects, as well as demographic characteristics. IMR has a significant negative impact on English reading ability and GPA in middle school. IMR significantly decreases first job prestige, years of schooling, working hours and log earnings. Some of these effects appear to be working through the lower middle school GPA. IMR does not influence self-rated health or labor market participation in adulthood, and there is no statistically significant relationship between GDP per capita and adult outcomes. Detrimental effects of IMR are significantly lower for children who arrived younger and whose parents have high school degree or above. Our estimates are of economic significance: the impact of being born in 1975 versus 1976 in Nicaragua in terms of the impact of IMR on earnings is equal to the gender effect on earnings. Our results cannot be explained by selection on observables: the pre-migration characteristics of children and parents are not associated significantly with the health and economic conditions at birth. Also, several tests show that our results cannot be explained by potential selection on unobservables.

Internal migration and child health: An investigation of health disparities between migrant children and left-behind children in China

Using data from the China Education Panel Survey (CEPS), this study empirically examines the association between internal migration and child health through an investigation of health disparities between migrant children and left-behind children in China. The results show that, in comparison with being left behind, migrating with parents significantly improves children’s self-reported health, height-for-age z-score (HAZ) and BMI-for-age z-score (BAZ), and reduces their frequency of sickness. These findings remain robust to a suite of robustness checks. Furthermore, the health effects of internal migration are more prominent for children with a rural hukou compared with urban ones. Although migrant children are more likely to experience teacher discrimination, they have higher levels of parental care, family relationships, and peer relationships relative to their left-behind counterparts, which indicates possible mechanisms behind the association between children’s migration and health. Our findings underline the importance of policy improvement and evidence-based interventions aiming at reducing involuntary parent-child separation and facilitating the development in health of disadvantaged children in developing countries like China.

Internal Migration Experience and Depressive Symptoms among Middle-Aged and Older Adults: Evidence from China

Background: This study aimed to examine the association of internal migration experience with depressive symptoms among middle-aged and elderly Chinese, as well as explore possible mechanisms of the relationship. Methods: Participants were from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative sample of residents aged 45 years and older (n = 43,854). Survey data on depressive symptoms and internal migration experience were collected from biennial CHARLS surveys (CHARLS 2011/2013/2015) and a unique CHARLS life history survey in 2014, respectively. Multiple logistic regressions and the Karlson–Holm–Breen (KHB) method were employed in the statistical analyses. Results: The overall prevalence rate of depressive symptoms among middle-aged and older adults was 34.6%. Internal migration experience was associated with higher risks of depressive symptoms (OR = 1.07, 95% CI = 1.02–1.12, p < 0.01), especially among females (OR = 1.08, 95% CI = 1.01–1.14, p < 0.05), middle-aged adults (OR = 1.12, 95% CI = 1.06–1.19, p < 0.001), rural-to-urban migrants who had not obtained an urban hukou (OR = 1.13, 95% CI = 1.07–1.19, p < 0.001), and those who had low migration frequency and first migrated out at 35 years of age or older. Chronic disease (17.98%, p < 0.001), physical injury (7.04%, p < 0.001), medical expenditure (7.98%, p < 0.001), pension insurance (4.91%, p < 0.001), and parent–child interaction (4.45%, p < 0.01) were shown to mediate the association of internal migration experience with depressive symptoms. Conclusions: This study indicates that there is a significant association between internal migration experience and high risks of depression onset later in life. It is suggested to reduce institutional barriers for migrants and implement evidence-based interventions to improve migrants’ mental health.