A bio-ecological framing of evidence on the determinants of adolescent mental health - A scoping review of the international Health Behaviour in School-Aged Children (HBSC) study 1983–2020

Abstract

This paper extracts, organises and summarises findings on adolescent mental health from a major international population study of young people using a scoping review methodology and applying a bio-ecological framework. Population data has been collected from more than 1.5 million adolescents over 37 years by the Health Behaviour in School-Aged Children: WHO Cross-National (HBSC) Study. The paper reviews the contribution that this long standing study has made to our understanding of the individual, developmental, social, economic, cultural determinants of adolescent mental health by organising the findings of 104 empirical papers that met inclusion criteria, into individual, microsystem, mesosystem and macrosystem levels of the framework. Of these selected papers, 68 were based on national data and the other 36 were based on international data, from varying numbers of countries. Each paper was allocated to a system level in the bio-ecological framework according to the level of its primary focus. The majority (51 papers) investigate individual level determinants. A further 28 concentrate primarily on the microsystem level, 6 on the mesosystem level, and 29 on the macrosystem level. The paper identifies where there is evidence on the determinants of mental health, summarises what we have learned, and highlights research gaps. Implications for the future development of this population health study are discussed in terms of how it may continue to illuminate our understanding of adolescent mental health in a changing world and where new directions are required.

Factors associated with cyberbullying among vocational students based on the ecological system model in an ethnic minority area

“…[ 31 , 32 ] The perception of a lack of reciprocal caring relationships with one's peers, which provides a feeling of belonging and support, may cause an adolescent to experience greater feelings of loneliness and to assess their social network more negatively. [ 32 , 33 ] According to researches, [ 16 , 20 , 21 ] having social friends influences students’ CB or CV. Negative support from peers has been associated with CB, according to Hellfeldt et al [ 24 ] A study suggested that students who dropped out of school were more likely to become perpetrators.…”

“…In addition, in an important period in the formation of their life values and self-development, these students can access information and create interpersonal relationships using digital media, so it is very important to gain insight into the underlying causes of CB and CV, which will contribute to the prevention of CB and CV and promote health and well-being among this particular group of students. [ 16 ] However, so far, adolescents who attend vocational high school, at least in China, have remained absent in research regarding CB and CV.…”

Framing of online risk: Young adults’ and adolescents’ representations of risky gambles.

“…A plethora of research has shown that adolescents are more likely than children and adults to engage in risky (offline) activities (Blum & Nelson-Mmari, 2004; Centers for Disease Control and Prevention, 2011; Currie et al, 2012; Quinn & Fromme, 2011; Zweig, Lindberg, & McGinley, 2001). FTT (Reyna & Brainerd, 1995, 2011) has emerged as one of the major paradigms to successfully explain adolescents’ and adults’ risk taking in domains such as health (Reyna, 2008) and sexual behavior (Mills, Reyna, & Estrada, 2008; Reyna & Adam, 2003).…”

Can Health-Promoting Schools Contribute to Better Health Behaviors? Physical Activity, Sedentary Behavior, and Dietary Habits among Israeli Adolescents

“…According to Bronfenbrenner's bio-ecological model, there is an interaction between the environmental, organizational, and personal levels [47]; we found this to be relevant in our study, as we focused on students in the school setting. However, this interaction did not prove to show a difference between health-promoting behaviors between HPS and non-HPS schools.…”