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Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence
BACKGROUND: Multiple risk behaviour (MRB) refers to two or more risk behaviours such as smoking, drinking alcohol, poor diet and unsafe sex. Such behaviours are known to co-occur in adolescence. It is unknown whether MRB interventions are equally effective for young people of low and high socioecono...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192072/ https://www.ncbi.nlm.nih.gov/pubmed/30326897 http://dx.doi.org/10.1186/s12889-018-6042-0 |
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author | Tinner, Laura Caldwell, Deborah Hickman, Matthew MacArthur, Georgina J Gottfredson, Denise Lana Perez, Alberto Moberg, D Paul Wolfe, David Campbell, Rona |
author_facet | Tinner, Laura Caldwell, Deborah Hickman, Matthew MacArthur, Georgina J Gottfredson, Denise Lana Perez, Alberto Moberg, D Paul Wolfe, David Campbell, Rona |
author_sort | Tinner, Laura |
collection | PubMed |
description | BACKGROUND: Multiple risk behaviour (MRB) refers to two or more risk behaviours such as smoking, drinking alcohol, poor diet and unsafe sex. Such behaviours are known to co-occur in adolescence. It is unknown whether MRB interventions are equally effective for young people of low and high socioeconomic status (SES). There is a need to examine these effects to determine whether MRB interventions have the potential to narrow or widen inequalities. METHODS: Two Cochrane systematic reviews that examined interventions to reduce adolescent MRB were screened to identify universal interventions that reported SES. Study authors were contacted, and outcome data stratified by SES and intervention status were requested. Risk behaviour outcomes alcohol use, smoking, drug use, unsafe sex, overweight/obesity, sedentarism, peer violence and dating violence were examined in random effects meta-analyses and subgroup analyses conducted to explore differences between high SES and low SES adolescents. RESULTS: Of 49 studies reporting universal interventions, only 16 also reported having measured SES. Of these 16 studies, four study authors provided data sufficient for subgroup analysis. There was no evidence of subgroup differences for any of the outcomes. For alcohol use, the direction of effect was the same for both the high SES group (RR 1.26, 95% CI: 0.96, 1.65, p = 0.09) and low SES group (RR 1.14, 95% CI: 0.98, 1.32, p = 0.08). The direction of effect was different for smoking behaviour in favour of the low SES group (RR 0.83, 95% CI: 0.66, 1.03, p = 0.09) versus the high SES group (RR 1.16, 95% CI: 0.82, 1.63, p = 0.39). For drug use, the direction of effect was the same for both the high SES group (RR 1.29, 95% CI: 0.97, 1.73, p = 0.08) and the low SES group (RR 1.28, 95% CI: 0.84, 1.96, p = 0.25). CONCLUSIONS: The majority of studies identified did not report having measured SES. There was no evidence of subgroup difference for all outcomes analysed among the four included studies. There is a need for routine reporting of demographic information within studies so that stronger evidence of effect by SES can be demonstrated and that interventions can be evaluated for their impact on health inequalities. |
format | Online Article Text |
id | pubmed-6192072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61920722018-10-23 Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence Tinner, Laura Caldwell, Deborah Hickman, Matthew MacArthur, Georgina J Gottfredson, Denise Lana Perez, Alberto Moberg, D Paul Wolfe, David Campbell, Rona BMC Public Health Research Article BACKGROUND: Multiple risk behaviour (MRB) refers to two or more risk behaviours such as smoking, drinking alcohol, poor diet and unsafe sex. Such behaviours are known to co-occur in adolescence. It is unknown whether MRB interventions are equally effective for young people of low and high socioeconomic status (SES). There is a need to examine these effects to determine whether MRB interventions have the potential to narrow or widen inequalities. METHODS: Two Cochrane systematic reviews that examined interventions to reduce adolescent MRB were screened to identify universal interventions that reported SES. Study authors were contacted, and outcome data stratified by SES and intervention status were requested. Risk behaviour outcomes alcohol use, smoking, drug use, unsafe sex, overweight/obesity, sedentarism, peer violence and dating violence were examined in random effects meta-analyses and subgroup analyses conducted to explore differences between high SES and low SES adolescents. RESULTS: Of 49 studies reporting universal interventions, only 16 also reported having measured SES. Of these 16 studies, four study authors provided data sufficient for subgroup analysis. There was no evidence of subgroup differences for any of the outcomes. For alcohol use, the direction of effect was the same for both the high SES group (RR 1.26, 95% CI: 0.96, 1.65, p = 0.09) and low SES group (RR 1.14, 95% CI: 0.98, 1.32, p = 0.08). The direction of effect was different for smoking behaviour in favour of the low SES group (RR 0.83, 95% CI: 0.66, 1.03, p = 0.09) versus the high SES group (RR 1.16, 95% CI: 0.82, 1.63, p = 0.39). For drug use, the direction of effect was the same for both the high SES group (RR 1.29, 95% CI: 0.97, 1.73, p = 0.08) and the low SES group (RR 1.28, 95% CI: 0.84, 1.96, p = 0.25). CONCLUSIONS: The majority of studies identified did not report having measured SES. There was no evidence of subgroup difference for all outcomes analysed among the four included studies. There is a need for routine reporting of demographic information within studies so that stronger evidence of effect by SES can be demonstrated and that interventions can be evaluated for their impact on health inequalities. BioMed Central 2018-10-16 /pmc/articles/PMC6192072/ /pubmed/30326897 http://dx.doi.org/10.1186/s12889-018-6042-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Tinner, Laura Caldwell, Deborah Hickman, Matthew MacArthur, Georgina J Gottfredson, Denise Lana Perez, Alberto Moberg, D Paul Wolfe, David Campbell, Rona Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence |
title | Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence |
title_full | Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence |
title_fullStr | Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence |
title_full_unstemmed | Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence |
title_short | Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence |
title_sort | examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192072/ https://www.ncbi.nlm.nih.gov/pubmed/30326897 http://dx.doi.org/10.1186/s12889-018-6042-0 |
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