Risk behaviour, parental background, and wealth: a cluster analysis among Swedish boys and girls in the HBSC study

The clustering of multiple health and lifestyle behaviors among Swedish adolescents: a person-oriented analysis

Background

Knowledge of the distribution, prevalence, and clustering of multiple health and lifestyle related behaviors (HLBs) among adolescents can inform the development of effective health-promoting policies and interventions. We assessed the clustering of multiple HLBs among 11, 13 and 15-year-old Swedish adolescents and examined the socioeconomic and demographic correlates for the identified clusters.

Methods

We used data from the 2017/2018 Swedish Health Behaviour in School-aged children (HBSC) study to conduct sex and age-stratified latent class analysis (LCA). The LCA was based on five HLBs: eating behavior and habits (EBH), physical activity (PA), tobacco usage (TU), alcohol consumption (AC) and sleeping habits and patterns (SHPs). Multinomial logistic regression models were used to assess the associations between the identified clusters and the socioeconomic and demographic characteristics of adolescents and their parents.

Results

Health behaviors varied by sex and age. Four distinct clusters were identified based on sex: cluster 1 (Mixed eating behaviors and habits, physical activity and low alcohol consumption), cluster 2 (Healthy lifestyle behaviors), cluster 3 (Unhealthy lifestyle behaviors), and cluster 4 (Breakfast, low alcohol consumption and tobacco usage). In the age-stratified analyzes, three clusters were identified: cluster 1 (Unhealthy lifestyle behaviors), cluster 2 (Moderately healthy lifestyle behaviors) and cluster 3 (Healthy lifestyle behaviors). The multinomial analysis showed that sex, age, family situation and perceived family wealth were strong predictors of health behaviors. Unhealthy behaviors were most commonly associated with socioeconomic disadvantage, having a migrant background, and living in reconstructed families or single-parent households.

Conclusion

Health behaviors vary significantly based on socioeconomic and demographic circumstances. Targeted policies and intervention programs are necessary to improve HLBs among vulnerable and at-risk adolescents.

Longitudinal Associations Between Energy Drink Consumption, Health, and Norm-Breaking Behavior Among Swedish Adolescents

Objectives: To describe the intake of energy drinks (EDs) among a sample of Swedish adolescents while considering health-related variables, and to investigate the longitudinal associations between ED consumption, health, and norm-breaking behavior. Longitudinal studies on this topic are scarce. Methods: Questionnaire data were collected in the northern part of Sweden in 2010-2011 from 1,622 adolescents in grades 6-9. Analyses were performed using a chi-squared test and logistic regression. Results: Seventy-four percent of the boys and 54% of the girls had consumed EDs (P < 0.001). ED consumption was associated with variables related to low health, low support levels, and norm-breaking behavior. The associations were generally stronger among the girls and the boys who consumed EDs at least once a week. ED consumption was a predictor of worse health and norm-breaking behavior 1 year later. Adjusted odds ratios ranged from 1.53 (95% CI: 1.07, 2.20; school-related stress) to 4.88 (95% CI: 2.28, 10.43; gaming-related truancy). Conclusions: Health promotion activities benefit from a broad approach but could focus on girls who consume EDs and those boys with the highest consumption levels.

Clustering of health-related behaviours within children aged 11-16: a systematic review

OBJECTIVE

We aimed to systematically review and synthesise evidence on the clustering of a broad range of health-related behaviours amongst 11-16 year olds.

METHOD

A literature search was conducted in September 2019. Studies were included if they used cluster analysis, latent class analysis, prevalence odds ratios, principal component analysis or factor analysis, and considered at least three health-related behaviours of interest among 11-16 year olds in high-income countries. Health-related behaviours of interest were substance use (alcohol, cigarettes and other drug use) and other behavioural risk indicators (diet, physical activity, gambling and sexual activity).

RESULTS

The review identified 41 studies, which reported 198 clusters of health-related behaviours of interest. The behaviours of interest reported within clusters were used to define eight behavioural archetypes. Some included studies only explored substance use, while others considered substance use and/or other health-related behaviours. Consequently, three archetypes were comprised by clusters reporting substance use behaviours alone. The archetypes were: (1) Poly-Substance Users, (2) Single Substance Users, (3) Substance Abstainers, (4) Substance Users with No/Low Behavioural Risk Indicators, (5) Substance Abstainers with Behavioural Risk Indicators, (6) Complex Configurations, (7) Overall Unhealthy and (8) Overall Healthy.

CONCLUSION

Studies of youth health behavioural clustering typically find both a 'healthy' cluster and an 'unhealthy' cluster. Unhealthy clusters are often characterised by poly-substance use. Our approach to synthesising cluster analyses may offer a means of navigating the heterogeneity of method, measures and behaviours of interest in this literature.

Understanding adolescent males' poor mental health and health-compromising behaviours: A factor analysis model on Swedish school-based data

Aim: The aim was to develop a factor model of the clustering of poor mental-health symptoms and health-compromising behaviours (HCBs) in adolescent males. Methods: The study was based on two cross-sectional school-based Swedish surveys in 2011 (response rate 80%, N=2823) and 2014 (response rate 85%, N=2358), both of which comprised questionnaires from males aged 15–16 and 17–18 years. A factor model was developed by exploratory factor analysis on the 2011 survey and validated by confirmatory factor analysis on the 2014 survey. Results: Four aspects of poor mental health and HCBs emerged in the exploratory factor analysis: (a) deviancy as a tendency to substance use and delinquency, (b) unsafety as an inclination towards feelings of unsafety in different environments, (c) gloominess as a tendency towards pessimism and feeling unwell and (d) pain as an inclination to experience physical pain. The model was validated with good model fit. Age did not affect the model structure, but older adolescent males were more influenced by deviancy and gloominess and less by unsafety compared to their younger peers. Conclusions: Separating symptoms of poor mental health and HCBs into four areas – deviancy, unsafety, gloominess and pain – brings new perspectives to the understanding of adolescent males’ health. To the best of our knowledge, our factor model is the first to include unsafety and pain in this context. Whenever a comprehensive approach to the health of adolescent males is needed in the clinic or in the field of public health, this factor model may provide guidance.

Exploring Lived Experiences of Parents of Youth and Youth with a Foreign Background in Sweden

Background

Sweden is in transition when it comes to the immigrant experience. More research is needed to document the life circumstances and adjustment of those with foreign background living in Sweden.

Objective

This study investigated the lived experiences of parents of youths and young people themselves who have an Iraqi or Syrian background and are living in Sweden.

Method

This cross-sectional qualitative interview study focused on a sample of parents of youth and youth (N = 26) with a foreign background. Participants were either born in Syria or Iraq or had one or both parents born in these countries and had migrated to Sweden. Participant interviews were analyzed using thematic analysis.

Results

In relation to the study aim, the analysis indicated three main themes in participants’ responses which concerned life in Sweden, feeling at home, and coping.

Conclusions

Overall, these themes reflected how the perception of everyday experiences relates to adjustment within a multi-cultural urban Swedish context. This study showed how participants with a foreign background are rich in their own diversity of experiences and viewpoints. Results also pointed towards the promise of social policy and services aimed at benefiting those with a foreign background if such efforts are situated in the microsystems that provide life daily structure, as well as in contexts that offer socialization and networking opportunities (e.g., training, education, work, and school). Further, such action should consider the importance of the extended family as part of family-focused initiatives.

Positive self-reported health might be an important determinant of student's experiences of high school in northern Sweden

There is a need for more knowledge about positive health determinants in the school setting. The overall aim of this study was to analyse if positive self-reported health is associated with experiences of school among high-school students. Data originated from the health dialogue questionnaire answered by students in grade 1 of high school. A total of 5035 students participated from the academic years 2013 to 2016. Logistic regression with positive odds ratio (POR) was used to analyse associations between positive self-reported health and school experiences. There was an association between positive self-reported health and school experiences among students. Positive mental health was the strongest predictor for positive school experiences. To frequently participate in Physical Education, have a positive body image and satisfactory sleep nearly doubled the students' odds for positive school experiences. The results also revealed gender differences; boys more often reported positive experiences of school and positive health than girls. Positive self-reported health is associated with positive experiences of school, particularly mental health. Moreover, these findings have significant implications for how students experience school and demonstrate the importance of including health-promoting interventions in systemic school improvement, meeting both girls' and boys' needs.

A primer on the use of cluster analysis or factor analysis to assess co-occurrence of risk behaviors

OBJECTIVE

The aim of this paper is to provide a guideline to a universal understanding of the analysis of co-occurrence of risk behaviors. The use of cluster analysis and factor analysis was clarified.

METHOD

A theoretical introduction to cluster analysis and factor analysis and examples from literature were provided. A representative sample (N=4395) of the Dutch population, aged 16-40 and participating from fall 2005 to spring 2006, was used to illustrate the use of both techniques in assessing the co-occurrence of risk behaviors.

RESULTS

Whereas cluster analysis techniques serve to focus on particular clusters of individuals showing the same behavioral pattern, factor analysis techniques are used to assess possible groups of interrelated health-risk behaviors that can be explained by an unknown common source. Choice between the techniques partly depends on the research question and the aim of the research, and has different implications for inferences and policy.

CONCLUSION

By integrating theory and results from an illustrative example, a guideline has been provided that contributes towards a systematic approach in the assessment of co-occurrence of risk behaviors. Following this guideline, a better comparison between outcomes from various studies is expected, leading to improved effectiveness of multiple behavior change interventions.