Project description:BackgroundThe World Health Organization's (WHO) Eastern Mediterranean Regional Office (EMRO) developed a school mental health program (SMHP) to help reduce the burden of youth mental health problems. Designed in collaboration with international consultants, the SMHP draws on evidence-based interventions to train personnel to identify students in need, respond therapeutically, and engage families in seeking care.MethodsTeams from Pakistan, Egypt, Iran, and Jordan collaborated with the WHO EMRO and British and U.S. universities to form the School Health Implementation Network: Eastern Mediterranean Region (SHINE), a National Institute of Mental Health-funded global mental health hub. SHINE partners used a "theory of change" process to adapt the SMHP to be more readily adopted by school personnel and replicated with fidelity. The adapted SMHP more directly addresses teachers' priorities and uses technology to facilitate training.ResultsA cluster-randomized implementation effectiveness trial enrolling 960 children ages 8-13 in 80 Pakistani schools will test the adapted SMHP against the original. Children who screen positive on first the teacher and subsequently the parent Strengths and Difficulties Questionnaires (SDQs) will be enrolled and tracked for 9 months. The primary trial outcome is reduction in parent-rated SDQ total difficulties scores. Secondary outcomes include children's well-being, academic performance, absenteeism, and perceived stigma; parent-teacher interaction; teachers' self-efficacy and subjective well-being; and school environment. Implementation outcomes include change in teachers' behavior and sense of program acceptability, cultural appropriateness, feasibility, penetration, and sustainability.Next stepsThe trial began in October 2019, and the expected completion date is March 2021. Outcomes will inform dissemination of the SMHP in Pakistan and elsewhere.
Project description:Research on children's quality of life and subjective well-being has advanced over the past decade largely as a result of developments in childhood theory, children's rights legislation, and the shift toward positive social science. However, in line with the uncertainty regarding the conceptualization of subjective well-being, the structural configuration of children's subjective well-being has not been considered in the literature. In the current study, we present and test a model of children's subjective well-being, which includes global (context-free items assessing overall and general well-being, without reference to a specific aspect of life) and specific (domain-based items assessing a specific aspect of life) cognitive components, and positive and negative affect. We further test the fit structure of a hierarchical structural (second-order) model of children's subjective well-being. Finally, we test the measurement invariance of the hierarchical model across age and gender. We use data from the third Wave of the Children's Worlds Survey. The data source includes a sample of 92,782 participants selected from 35 countries (girls = 49.7%) in two age groups (10- and 12-years-old). We found a good fit for the four-factor confirmatory factor model of children's subjective well-being. Correlations between the various latent factors were as anticipated-with positive correlations between the life satisfaction components and positive affect, and negative correlations with negative affect. We further found a good fit for the hierarchical structural model of children's subjective well-being. Finally, we found the tenability of measurement invariance across age and gender. The study extends the generalizability of the hierarchical structural configuration of the subjective well-being to child samples, and provides a viable model to explore correlates and predictors of children's subjective well-being using the full conceptual model. Finally, we propound the tenability of a quadripartite hierarchical conceptual model of children's subjective well-being.
Project description:This study examines the relationship beween employment and psychosocial working conditions and well-being of native and migrant workers in the working population of Spain. Data from the 7th Spanish Survey of Working Conditions was used to conduct a confirmatory factor analysis (n = 8508) to identify the main latent variables that influenced well-being. Using structural equation modeling and multivariate analysis, we found different patterns and perceptions of well-being and working conditions in these two groups. We discuss the reasons for these differences and suggest directions for further research in this area.
Project description:This paper studies the health and well-being of children during the COVID-19 lockdowns in a developing country context. Using surveys for low-income households in rural areas of Pakistan, we find that lockdowns are associated with worsened health and well-being of children. Exploring potential economic and noneconomic mechanisms behind this negative association, we find that children participating in the labor market due to extreme poverty suffer the worst impact from lockdowns. These results call for policies that target resources towards households where children's participation in the labor market is more likely since leaving vulnerable children behind will have a lasting economic impact for developing economies.
Project description:BackgroundA high burden of physical, mental, and occupational health problems among migrant workers has been well-documented, but data on undocumented migrant workers are limited and their well-being has rarely been compared to that of the general population.MethodsUsing data from a cross-sectional survey of non-professional migrant workers in South Korea in early 2021, we described their physical, psychological, social well-being and health behaviors across a wide range of outcomes, including self-rated health, occupational injury, cigarette smoking, heavy alcohol consumption, meal pattern, happiness, mental illness, social support, and social participation. The outcomes were first compared between documented and undocumented migrant workers in generalized linear regressions adjusting for potential confounders. Then, the well-being of the migrant workers was compared against that of the general population using data from the Korean Happiness Survey, which is a nationally representative survey of the South Korean general population conducted in late 2020. The parametric g-formula was performed to adjust for potential confounders.ResultsAfter adjusting for potential confounders, the undocumented migrant workers were less likely to be happy or participate in social communities, and much more likely to have anxiety or depression, smoke cigarettes, or engage in heavy alcohol consumption than the documented migrant workers. When compared to the general South Korean population, an evident social gradient emerged for happiness and mental illness; the undocumented experienced the worst outcome, followed by the documented, and then the general population. Also, the undocumented migrant workers were more likely to smoke cigarettes than the general population.ConclusionThe undocumented migrant workers face considerably greater challenges in terms of mental health and happiness, demonstrate higher rates of risky health behaviors such as smoking and heavy drinking, and experience a lack of social support and community integration. A stark social gradient in happiness, mental illness, and cigarette smoking exists among the documented, undocumented migrant workers and the general population in South Korea. Socio-structural factors are likely to play a crucial role in contributing to the suboptimal level of overall well-being of undocumented migrant workers. Policy-level interventions as well as interpersonal efforts are in urgent need.
Project description:Migrant children's well-being has emerged into the spotlight of academic literature and policy-makers in recent times. This systematic review is aimed at analysing the publication trends on the topic and at synthesising the available evidence on the antecedents of well-being of first-generation international migrant children. Systematic searches of primary studies were conducted in 18 databases using search terms related to migration, childhood and well-being. Three rounds of screening and data extraction, researchers' full agreement and the inclusion criteria produced 39 eligible studies. Critical appraisal of results revealed a fragmentation in the literature, the evidence available being mostly descriptive and focused on involuntary migrants settled in Western countries. A bias across publications overlooking younger migrant children was unveiled. The compartmentalisation of the evidence hindered an understanding of the magnitude of the different effects of migration on well-being. Antecedents of well-being have been documented as factors fostering and hindering well-being. Important gaps in literature and key antecedents of well-being have been uncovered for voluntary and involuntary migrant children. These findings show limitations in the available evidence pointing to specific suggestions for future research that should help improve interventions at the social and individual levels.
Project description:School environment refers to the set of relationships that occur among members of a school community that are determined by structural, personal, and functional factors of the educational institution, which provide distinctiveness to schools. The school environment is an important factor when evaluating student well-being. Previous findings have shown that variables such as physical, academic, and social dimensions influence school environments. This research seeks to explain the relationship between school environment and the well-being of primary education students. To carry out this research, a total of 405 students from four public elementary schools in northwestern Mexico were selected to participate. The instrument used to measure the variables and the relationship of school environment and well-being is based on the three dimensions of school environment proposed by Kutsyuruba et al. (2015): Physical, social, and academic. Statistical analyses were carried out to determine the reliability and validity of the measurement scales using SPSS V20 and EQS software. Confirmatory factor analysis models were tested to determine the construct validity of each scale; then, an analysis via structural equation modeling was made to form an explanatory model obtaining acceptable practical and statistical indicators. Among the relationships in this study, our research identified the variable of school environments as an outcome determined by physical, academic, and social factors. School environment and student well-being variables were also found to be correlated.
Project description:From the analysis of the Wave 5 National Income Dynamics Study - Coronavirus Rapid Mobile Survey 2021 dataset, the study conducted in South Africa, we developed a model of analysis based on three dimensions, namely, subjective well-being, material living conditions, and importance attributed to education during the COVID-19 pandemic. A cross-sectional analysis of the data for Gauteng area indicates that the dimension of subjective well-being of families in South Africa-even in relation to the factors such as conditions of deprivation (e.g., hunger)-does not necessarily influence the importance the respondents attach to their children's education, this as reflected in whether or not they send them to school when COVID-19 restrictions allowed for schools to come back to face-to-face teaching. Subjective well-being of parents and guardians is, however, a predictor of concern about their children's education and future. Our working hypothesis is that, although there is little evidence that subjective well-being has a significant association with the respondents' willingness for their children to continue their schooling, there is a significant indirect effect of subjective well-being-which is especially determined by the gender as well as of the living material conditions-and the greater or lesser importance that the respondents attribute to their children's education. Likewise, and in more general terms, subjective well-being is clearly related to gender, with women having the lowest levels of subjective well-being.
Project description:ImportanceEnsuring the well-being of the 73 million children in the United States is critical for improving the nation's health and influencing children's long-term outcomes as they grow into adults.ObjectiveTo examine recent trends in children's health-related measures, including significant changes between 2019 and 2020 that might be attributed to the COVID-19 pandemic.Design, setting, and participantsAnnual data were examined from the National Survey of Children's Health (2016-2020), a population-based, nationally representative survey of randomly selected children. Participants were children from birth to age 17 years living in noninstitution settings in all 50 states and the District of Columbia whose parent or caregiver responded to an address-based survey by mail or web. Weighted prevalence estimates account for probability of selection and nonresponse. Adjusted logistic regression models tested for significant trends over time.Main outcomes and measuresDiverse measures pertaining to children's current health conditions, positive health behaviors, health care access and utilization, and family well-being and stressors.ResultsA total of 174 551 children were included (annual range = 21 599 to 50 212). Between 2016 and 2020, there were increases in anxiety (7.1% [95% CI, 6.6-7.6] to 9.2% [95% CI, 8.6-9.8]; +29%; trend P < .001) and depression (3.1% [95% CI, 2.9-3.5] to 4.0% [95% CI, 3.6-4.5]; +27%; trend P < .001). There were also decreases in daily physical activity (24.2% [95% CI, 23.1-25.3] to 19.8% [95% CI, 18.9-20.8]; -18%; trend P < .001), parent or caregiver mental health (69.8% [95% CI, 68.9-70.8] to 66.3% [95% CI, 65.3-67.3]; -5%; trend P < .001), and coping with parenting demands (67.2% [95% CI, 66.3-68.1] to 59.9% [95% CI, 58.8-60.9]; -11%; trend P < .001). In addition, from 2019 to 2020, there were increases in behavior or conduct problems (6.7% [95% CI, 6.1-7.4] to 8.1% [95% CI, 7.5-8.8]; +21%; P = .001) and child care disruptions affecting parental employment (9.4% [95% CI, 8.0-10.9] to 12.6% [95% CI, 11.2-14.1]; +34%; trend P = .001) as well as decreases in preventive medical visits (81.0% [95% CI, 79.7-82.3] to 74.1% [95% CI, 72.9-75.3]; -9%; trend P < .001).Conclusions and relevanceRecent trends point to several areas of concern that can inform future research, clinical care, policy decision making, and programmatic investments to improve the health and well-being of children and their families. More analyses are needed to elucidate varying patterns within subpopulations of interest.
Project description:In recent years, new national and regional minimum wage laws have been passed in the United States and other countries. The laws assume that benefits flow not only to workers but also to their children. Adolescent workers will most likely be affected directly given their concentration in low-paying jobs, but younger children may be affected indirectly by changes in parents' work conditions, family income, and the quality of nonparental child care. Research on minimum wages suggests modest and mixed economic effects: Decreases in employment can offset, partly or fully, wage increases, and modest reductions in poverty rates may fade over time. Few studies have examined the effects of minimum wage increases on the well-being of families, adults, and children. In this article, we use theoretical frameworks and empirical evidence concerning the effects on children of parental work and family income to suggest hypotheses about the effects of minimum wage increases on family life and children's well-being.