A school-based program to prevent depressive symptoms and strengthen well-being among pre-vocational students (Happy Lessons):protocol for a cluster randomized controlled trial and implementation study

BACKGROUND: Depression is one of the leading causes of illness and disability among young people. In the Netherlands, one in twelve Dutch adolescents has experienced depression in the last 12 months. Pre-vocational students are at higher risk for elevated depressive symptoms. Effective interventions, especially for this risk group, are therefore needed to prevent the onset of depression or mitigate the adverse long-term effects of depression. The aim of this study is to examine the effectiveness and implementation of a school-based program Happy Lessons (HL), that aims to prevent depression and promote well-being among pre-vocational students. METHODS: A cluster randomized controlled trial (RCT) with students randomized to HL or to care as usual will be conducted. Pre-vocational students in their first or second year (aged 12 to 14) will participate in the study. Subjects in both conditions will complete assessments at baseline and at 3- and 6-months follow-up. The primary outcome will be depressive symptoms using the Center for Epidemiologic Studies Depression Scale (CES-D) at 6-months follow-up. Secondary outcomes are well-being using the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) and life satisfaction (Cantril Ladder) measured at 6-months follow-up. Alongside the trial, an implementation study will be conducted to evaluate the implementation of HL, using both quantitative and qualitative methods (interviews, survey, and classroom observations). DISCUSSION: The results from both the RCT and implementation study will contribute to the limited evidence base on effective school-based interventions for the prevention of depression and promotion of well-being among pre-vocational adolescents. In addition, insights from the implementation study will aid identifying factors relevant for optimizing the future implementation and scale-up of HL to other schools and contexts. TRIAL REGISTRATION: This study was registered on 20 September 2021 in the Dutch Trial Register (NL9732). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12321-3

Conceptualizing vulnerability for health effects of the covid-19 pandemic and the associated measures in utrecht and zeist:A concept map

The COVID-19 pandemic and the associated measures have impacted the health of many. Not all population groups are equally vulnerable to such health effects, possibly increasing health inequalities. We performed a group concept mapping procedure to define a common, context-specific understanding of what makes people vulnerable to health effects of the pandemic and the measures. We organized a two-step, blended brainstorming session with locally involved community members, using the brainstorm focus prompt ‘What I think makes people vulnerable for the COVID-19 pandemic and the measures is … ’. We asked participants to generate as many statements as possible. Participants then individually structured (sorted and ranked) these statements. The structuring data was analysed using the groupwisdom™ software and then interpreted by the researchers to generate the concept map. Ninety-eight statements were generated by 19 participants. Sixteen participants completed both structuring tasks. The final concept map consisted of 12 clusters of vulnerability factors, indicating a broad conceptualization of vulnerability during the pandemic. It is being used as a basis for future research and local supportive interventions. Concept mapping is an effective method to arrive at a vulnerability assessment in a community in a short time and, moreover, a method that promotes community engagement

Adolescent Socioeconomic Status and Mental Health Inequalities in the Netherlands, 2001-2017

Even in wealthy countries there are substantial socioeconomic inequalities in adolescent mental health. Socioeconomic status (SES) indicators-parental SES, adolescent subjective SES and adolescent educational level-are negatively associated with adolescent mental health problems, but little is known about the interplay between these SES indicators and whether associations have changed over time. Using data from the Dutch Health Behaviour in School-Aged Children (HBSC) studies (n = 27,020) between 2001 and 2017, we examined associations between three SES indicators and six indicators of adolescent mental health problems. Linear regressions revealed that adolescent subjective SES and adolescent educational level were independently negatively associated with adolescent mental health problems and positively associated with adolescent life satisfaction, but parental SES had negligible independent associations with adolescent mental health problems and life satisfaction. However, when interactions between SES indicators were considered, high adolescent subjective SES was shown to buffer the negative association between parental SES and adolescent mental health problems and the positive association between parental SES and life satisfaction. Despite societal changes between 2001 and 2017, socioeconomic inequalities in adolescent mental health were stable during this period. Findings suggest that all three SES indicators-parental SES, adolescent subjective SES and adolescent educational level-are important for studying socioeconomic inequalities in adolescent mental health

Adolescent Socioeconomic Status and Mental Health Inequalities in the Netherlands, 2001–2017

Even in wealthy countries there are substantial socioeconomic inequalities in adolescent mental health. Socioeconomic status (SES) indicators—parental SES, adolescent subjective SES and adolescent educational level—are negatively associated with adolescent mental health problems, but little is known about the interplay between these SES indicators and whether associations have changed over time. Using data from the Dutch Health Behaviour in School-Aged Children (HBSC) studies (n = 27,020) between 2001 and 2017, we examined associations between three SES indicators and six indicators of adolescent mental health problems. Linear regressions revealed that adolescent subjective SES and adolescent educational level were independently negatively associated with adolescent mental health problems and positively associated with adolescent life satisfaction, but parental SES had negligible independent associations with adolescent mental health problems and life satisfaction. However, when interactions between SES indicators were considered, high adolescent subjective SES was shown to buffer the negative association between parental SES and adolescent mental health problems and the positive association between parental SES and life satisfaction. Despite societal changes between 2001 and 2017, socioeconomic inequalities in adolescent mental health were stable during this period. Findings suggest that all three SES indicators—parental SES, adolescent subjective SES and adolescent educational level—are important for studying socioeconomic inequalities in adolescent mental health

Intersectionality and adolescent mental well-being: a cross-nationally comparative analysis of the interplay between immigration background, socioeconomic status and gender.

Purpose: Intersectionality theory highlights the importance of the interplay of multiple social group memberships in shaping individual mental well-being. This article investigates elements of adolescent mental well-being (life dissatisfaction and psychosomatic complaints) from an intersectional perspective. It tests mental well-being consequences of membership in combinations of multiple social groups and examines to what extent such intersectional effects depend on the national context (immigration and integration policies, national-level income, and gender equality). Methods: Using Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy, we assessed the role of the national context in shaping the interplay between immigration background, socioeconomic status, and gender, using data from 33 countries from the 2017/2018 Health Behaviour in School-aged Children survey. Results: We found no uniform intersectionality effects across all countries. However, when allowing the interplay to vary by national context, results did point toward some intersectional effects. Some aggravated negative effects were found for members of multiple disadvantaged social groups in countries with low levels of income equality and restrictive migration policies, whereas enhanced positive effects were found for members of multiple advantaged groups in these countries. Similarly, mitigated negative effects of membership in multiple disadvantaged groups were shown in countries with higher levels of income equality and more inclusive migration policies, whereas mitigated positive effects were found for multiply advantaged individuals. Although for national-level gender equality results pointed in a similar direction, girls' scores were counterintuitive. High national-level gender equality disproportionately benefitted groups of disadvantaged boys, whereas advantaged girls were doing worse than expected, and reversed effects were found for countries with low gender equality. Conclusions: To fully understand social inequalities in adolescent mental well-being, the interplay between individual-level and national-level indicators must be explored

Adolescent Socioeconomic Status and Mental Health Inequalities in the Netherlands, 2001-2017

Even in wealthy countries there are substantial socioeconomic inequalities in adolescent mental health. Socioeconomic status (SES) indicators-parental SES, adolescent subjective SES and adolescent educational level-are negatively associated with adolescent mental health problems, but little is known about the interplay between these SES indicators and whether associations have changed over time. Using data from the Dutch Health Behaviour in School-Aged Children (HBSC) studies (n = 27,020) between 2001 and 2017, we examined associations between three SES indicators and six indicators of adolescent mental health problems. Linear regressions revealed that adolescent subjective SES and adolescent educational level were independently negatively associated with adolescent mental health problems and positively associated with adolescent life satisfaction, but parental SES had negligible independent associations with adolescent mental health problems and life satisfaction. However, when interactions between SES indicators were considered, high adolescent subjective SES was shown to buffer the negative association between parental SES and adolescent mental health problems and the positive association between parental SES and life satisfaction. Despite societal changes between 2001 and 2017, socioeconomic inequalities in adolescent mental health were stable during this period. Findings suggest that all three SES indicators-parental SES, adolescent subjective SES and adolescent educational level-are important for studying socioeconomic inequalities in adolescent mental health

Ten-year trends in adolescents' self-reported emotional and behavioral problems in the Netherlands

Changes in social, cultural, economic, and governmental systems over time may affect adolescents' development. The present study examined 10-year trends in self-reported emotional and behavioral problems among 11- to 16-year-old adolescents in the Netherlands. In addition, gender (girls versus boys), ethnic (Dutch versus non western) and educational (vocational versus academic) differences in these trends were examined. By means of the Strengths and Difficulties Questionnaire, trends in emotional and behavioral problems were studied in adolescents belonging to one of five independent population representative samples (2003: n = 6,904; 2005: n = 5,183; 2007: n = 6,228; 2009: n = 5,559; 2013: n = 5,478). Structural equation models indicated rather stable levels of emotional and behavioral problems over time. Whereas some small changes were found between different time points, these changes did not represent consistent changes in problem levels. Similarly, gender, ethnic and educational differences in self-reported problems on each time point were highly comparable, indicating stable mental health inequalities between groups of adolescents over time. Future internationally comparative studies using multiple measurement moments are needed to monitor whether these persistent mental health inequalities hold over extended periods of time and in different countries

Ten-year trends in adolescents' self-reported emotional and behavioral problems in the Netherlands

Changes in social, cultural, economic, and governmental systems over time may affect adolescents' development. The present study examined 10-year trends in self-reported emotional and behavioral problems among 11- to 16-year-old adolescents in the Netherlands. In addition, gender (girls versus boys), ethnic (Dutch versus non western) and educational (vocational versus academic) differences in these trends were examined. By means of the Strengths and Difficulties Questionnaire, trends in emotional and behavioral problems were studied in adolescents belonging to one of five independent population representative samples (2003: n = 6,904; 2005: n = 5,183; 2007: n = 6,228; 2009: n = 5,559; 2013: n = 5,478). Structural equation models indicated rather stable levels of emotional and behavioral problems over time. Whereas some small changes were found between different time points, these changes did not represent consistent changes in problem levels. Similarly, gender, ethnic and educational differences in self-reported problems on each time point were highly comparable, indicating stable mental health inequalities between groups of adolescents over time. Future internationally comparative studies using multiple measurement moments are needed to monitor whether these persistent mental health inequalities hold over extended periods of time and in different countries

Intersectionality and Adolescent Mental Well-being: A Cross-Nationally Comparative Analysis of the Interplay Between Immigration Background, Socioeconomic Status and Gender

Purpose: Intersectionality theory highlights the importance of the interplay of multiple social group memberships in shaping individual mental well-being. This article investigates elements of adolescent mental well-being (life dissatisfaction and psychosomatic complaints) from an intersectional perspective. It tests mental well-being consequences of membership in combinations of multiple social groups and examines to what extent such intersectional effects depend on the national context (immigration and integration policies, national-level income, and gender equality). Methods: Using Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy, we assessed the role of the national context in shaping the interplay between immigration background, socioeconomic status, and gender, using data from 33 countries from the 2017/2018 Health Behaviour in School-aged Children survey. Results: We found no uniform intersectionality effects across all countries. However, when allowing the interplay to vary by national context, results did point toward some intersectional effects. Some aggravated negative effects were found for members of multiple disadvantaged social groups in countries with low levels of income equality and restrictive migration policies, whereas enhanced positive effects were found for members of multiple advantaged groups in these countries. Similarly, mitigated negative effects of membership in multiple disadvantaged groups were shown in countries with higher levels of income equality and more inclusive migration policies, whereas mitigated positive effects were found for multiply advantaged individuals. Although for national-level gender equality results pointed in a similar direction, girls' scores were counterintuitive. High national-level gender equality disproportionately benefitted groups of disadvantaged boys, whereas advantaged girls were doing worse than expected, and reversed effects were found for countries with low gender equality. Conclusions: To fully understand social inequalities in adolescent mental well-being, the interplay between individual-level and national-level indicators must be explored