Clustering of multiple health risk factors among a sample of adolescents in Liberia: a latent class analysis.
Aim: Non-communicable diseases (NCDs) are associated with modifiable health risk factors. There is a lack of evidence regarding clusters of health-related behaviours among school-going adolescents from sub-Saharan Africa. This study was conducted to identify clustering patterns of health risk factor...
| Published in: | Journal of Public Health: From Theory to Practice (2198-1833) Vol. 30; no. 6; pp. 1389 - 1398 |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Published: |
Springer Nature
Jun2022
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=156858675&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 156858675 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 21981833 NENI jtl: Journal of Public Health: From Theory to Practice (2198-1833) issn: 21981833 maglogo: N pubinfo: dt: Jun2022 vid: 30 iid: 6 pid: 237 pub: Springer Nature artinfo: ui: 156858675 10.1007/s10389-020-01465-y ppf: 1389 ppct: 9 formats: tig: atl: Clustering of multiple health risk factors among a sample of adolescents in Liberia: a latent class analysis. aug: au: Atorkey, Prince Asante, Kwaku Oppong affil: School of Medicine and Public Health, University of Newcastle, University Drive, 2308, Callaghan, New South Wales, Australia Hunter New England Population Health, Hunter New England Local Health District, Locked Mail Bag 10, 2287, Wallsend, New South Wales, Australia Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia Hunter Medical Research Institute, Newcastle, New South Wales, Australia Department of Psychology, University of Ghana, Legon, Accra, Ghana Department of Psychology, University of the Free State, Bloemfontein, South Africa su: Liberia Risk-taking behavior Health behavior Sociodemographic factors Risk assessment Cluster analysis (Statistics) Statistical sampling sug: subj: Risk-taking behavior Health behavior Sociodemographic factors Liberia Marketing Research and Public Opinion Polling Risk assessment Cluster analysis (Statistics) Statistical sampling keyword: Adolescents Cluster analysis Multiple health risk factors Adolescents Cluster analysis Multiple health risk factors ab: Aim: Non-communicable diseases (NCDs) are associated with modifiable health risk factors. There is a lack of evidence regarding clusters of health-related behaviours among school-going adolescents from sub-Saharan Africa. This study was conducted to identify clustering patterns of health risk factors (i.e. smoking tobacco, inadequate fruit intake, inadequate vegetable intake, physical inactivity, sedentary behaviour, anxiety and depression) and association with sociodemographic factors among school-going adolescents in Liberia. Subject and methods: The 2017 Liberian Global School-based Student Health Survey on 2774 adolescents aged 11 years and above (52.5% females) sampled with a two-stage cluster sample design was used. Latent class analysis was used to generate the clusters and latent class regression assessed the associations between sociodemographic factors and the clusters. Results: We identified three clusters labelled as (1) 'low substance use, moderately active cluster' (34.8%); (2) 'inadequate fruit and vegetable cluster' (48.9%) and (3) 'risk taking cluster' (16.3%)'. Compared to cluster 1, adolescent boys [AOR = 1.71, 1.29–2.27, p < 0.001], and those in grade 10–12 [AOR = 1.51, 1.13–2.02, p < 0.001] were more likely to belong to cluster 2. Participants aged 15 years and above [AOR = 0.60, 0.39–0.91, p = 0.018] were less likely to belong to cluster 2. Compared to cluster 1, adolescents aged 15 years and above [AOR = 3.58, 1.33–9.62, p = 0.011] and those with low socio-economic status [AOR = 1.83, 1.22–2.73, p = 0.003] were more likely to belong to cluster 3. Conclusion: These results underscore the need for interventions that address adolescent multiple health risk factors, especially considering sociodemographic differences. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|