Family Structure Transitions: Prevalence and Physical Health Effects in Ethiopia, India, Peru, and Vietnam

This study aimed to identify the prevalence and physical health consequences of family structure transitions among children in Ethiopia, India, Peru, and Vietnam. In many high-income countries, family structure transitions are common, and research suggests that they can lead to worse physical health for children. However, we know little about either the prevalence or consequences of family structure transitions for children in low-and middle-income countries, who make up the vast majority of the world’s children. First, we estimated the number of family structure transitions by age 12 using four rounds of Young Lives data from four low-and middle-income countries (N = 8062, Ethiopia, India, Peru, and Vietnam) and validated our prevalence estimates with another dataset from these same countries. The proportion of children experiencing a family structure transition by age 12 was: 14.8% in Ethiopia, 5.6% in India, 22.0% in Peru, and 7.7% in Vietnam. We put these estimates in context by comparing them to 17 high- and upper-middle-income countries. Second, using linear mixed models, we found that family structure transitions were not directly associated with worse physical health for children in Ethiopia, India, Peru, and Vietnam. Children in Peru experienced higher rates of family structure transitions relative to children in the other Young Lives countries, and similar rates to many of the 17 comparison countries, yet physical health was unaffected. It is possible that in low-and middle-income countries, the environment may overwhelm family stability as a determinant of physical health.

What Explains Vietnam’s Exceptional Performance in Education Relative to Other Countries? Analysis of the Young Lives Data from Ethiopia, Peru, India and Vietnam

Vietnam’s strong performance on the 2012 and 2015 PISA assessments has led to interest in what explains the strong academic performance of Vietnamese students. Analysis of the PISA data has not shed much light on this issue. This paper analyses a much richer data set, the Young Lives data for Ethiopia, India (Andhra Pradesh and Telangana), Peru and Vietnam, to investigate the reasons for the strong academic performance of 15-year-olds in Vietnam. Differences in observed child and household characteristics explain 37-39% of the gap between Vietnam and Ethiopia, while observed school variables explain only about 3-4 additional percentage points (although an important variable, math teachers’ pedagogical skills, is not available for Ethiopia). Differences in observed child and household characteristics explain very little of the gaps between Vietnam and India and between Vietnam and Peru, yet one observed school variable has a large explanatory effect: primary school math teachers’ pedagogical skills. It explains about 10-12% of the gap between Vietnam and India, raising the overall explained portion to 14-21% of the gap. For Peru, it explains most (65-84%) of the gap.

Review of Julie Spray’s (2020) The Children in Child Health: Negotiating Young Lives and Health in New Zealand. Rutgers University Press.

Review of Julie Spray’s (2020) The Children in Child Health: Negotiating Young Lives and Health in New Zealand. Rutgers University Press.

Assessing the potential impact of coronavirus disease 2019 (COVID-19) on the Sustainable Development Goals (SDG) outcomes: evidence from telephone surveys in the four Young Lives countries

This paper draws on the results of telephone surveys conducted to assess the impact of the coronavirus disease 2019 (COVID-19) pandemic on the young people of two longitudinal cohorts (aged 19 and 26 years old at the time) of the four countries that participate in the Young Lives research programme: Ethiopia, India, Peru and Vietnam. We first review the pandemic experiences of these four countries, which differed significantly, and report on the responses of the individual young people to the pandemic and the measures taken by governments. Our main focus is on how the pandemic and policy responses impacted on the education, work and food security experiences of the young people. Unsurprisingly the results show significant adverse effects in each of these areas, though again with differences by country. The effects are mostly more severe for poorer individuals. We stress the challenges that COVID-19 is creating for meeting the United Nations’ Sustainable Development Goals, in particular in making it more difficult to ensure that no one is left behind.

Maternal/Child Social Support and Food Security in Relation to Child Height and BMI in Four Lmics: Mediation Analysis of Young Lives Data

BackgroundPoor nutritional status in childhood is associated with an elevated risk of mortality and morbidity later in life. Previous studies showed a positive association between specific types of social capital and child nutritional status. Our study examined whether improved food security mediates the impact of maternal and child social support on child height and body mass index (BMI) in four low- and middle-income countries.Methods We used data from the Young Lives cohort study comprising roughly 1,000 children at age 8 and 12 in Vietnam, Ethiopia, India, and Peru. Outcome variables were z-score for height (HAZ) and BMI (BAZ). Results Belonging to the top half of maternal financial support and child financial support was positively associated with child HAZ at age 12 in Peru. Belonging to top half of overall maternal support among children aged 8 in Vietnam, and maternal financial support among children aged 12 in India were also positively associated with child BAZ. A positive association of food security was only found with maternal financial support among children aged 12 in Peru. However, food security did not play a significant role in mediating the effect of maternal financial support on child HAZ at age 12. ConclusionsStrengthening social support to improve child nutritional status may not be a sufficient intervention in resource-poor settings because sources of supports may lack sufficient food resources to share. Considering between-country heterogeneity, a “one size fits all” approach for enhancing social capital may not be appropriate.