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Moderators of wellbeing interventions: Why do some people respond more positively than others?

Interventions rarely have a universal effect on all individuals. Reasons ranging from participant characteristics, context and fidelity of intervention completion could cause some people to respond more positively than others. Understanding these individual differences in intervention response may p...

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Detalles Bibliográficos
Autores principales: Wang, R. Adele. H., Nelson-Coffey, S. Katherine, Layous, Kristin, Jacobs Bao, Katherine, Davis, Oliver S. P., Haworth, Claire M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5673222/
https://www.ncbi.nlm.nih.gov/pubmed/29107994
http://dx.doi.org/10.1371/journal.pone.0187601
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author Wang, R. Adele. H.
Nelson-Coffey, S. Katherine
Layous, Kristin
Jacobs Bao, Katherine
Davis, Oliver S. P.
Haworth, Claire M. A.
author_facet Wang, R. Adele. H.
Nelson-Coffey, S. Katherine
Layous, Kristin
Jacobs Bao, Katherine
Davis, Oliver S. P.
Haworth, Claire M. A.
author_sort Wang, R. Adele. H.
collection PubMed
description Interventions rarely have a universal effect on all individuals. Reasons ranging from participant characteristics, context and fidelity of intervention completion could cause some people to respond more positively than others. Understanding these individual differences in intervention response may provide clues to the mechanisms behind the intervention, as well as inform future designs to make interventions maximally beneficial for all. Here we focus on an intervention designed to improve adolescent wellbeing, and explore potential moderators using a representative and well-powered sample. 16-year old participants (N = 932) in the Twins Wellbeing Intervention Study logged online once a week to complete control and wellbeing-enhancing activities consecutively. Throughout the study participants also provided information about a range of potential moderators of intervention response including demographics, seasonality, personality, baseline characteristics, activity fit, and effort. As expected, some individuals gained more from the intervention than others; we used multi-level modelling to test for moderation effects that could explain these individual differences. Of the 15 moderators tested, none significantly explained individual differences in intervention response in the intervention and follow-up phases. Self-reported effort and baseline positive affect had a notable effect in moderating response in the control phase, during which there was no overall improvement in wellbeing and mental health. Our results did not replicate the moderation effects that have been suggested by previous literature and future work needs to reconcile these differences. They also show that factors that have previously been shown to influence baseline wellbeing do not also influence an individual’s ability to benefit from a wellbeing intervention. Although future research should continue to explore potential moderators of intervention efficacy, our results suggest that the beneficial effect of positive activities in adolescents were universal across such factors as sex and socioeconomic status, bolstering claims of the scalability of positive activities to increase adolescent wellbeing.
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spelling pubmed-56732222017-11-18 Moderators of wellbeing interventions: Why do some people respond more positively than others? Wang, R. Adele. H. Nelson-Coffey, S. Katherine Layous, Kristin Jacobs Bao, Katherine Davis, Oliver S. P. Haworth, Claire M. A. PLoS One Research Article Interventions rarely have a universal effect on all individuals. Reasons ranging from participant characteristics, context and fidelity of intervention completion could cause some people to respond more positively than others. Understanding these individual differences in intervention response may provide clues to the mechanisms behind the intervention, as well as inform future designs to make interventions maximally beneficial for all. Here we focus on an intervention designed to improve adolescent wellbeing, and explore potential moderators using a representative and well-powered sample. 16-year old participants (N = 932) in the Twins Wellbeing Intervention Study logged online once a week to complete control and wellbeing-enhancing activities consecutively. Throughout the study participants also provided information about a range of potential moderators of intervention response including demographics, seasonality, personality, baseline characteristics, activity fit, and effort. As expected, some individuals gained more from the intervention than others; we used multi-level modelling to test for moderation effects that could explain these individual differences. Of the 15 moderators tested, none significantly explained individual differences in intervention response in the intervention and follow-up phases. Self-reported effort and baseline positive affect had a notable effect in moderating response in the control phase, during which there was no overall improvement in wellbeing and mental health. Our results did not replicate the moderation effects that have been suggested by previous literature and future work needs to reconcile these differences. They also show that factors that have previously been shown to influence baseline wellbeing do not also influence an individual’s ability to benefit from a wellbeing intervention. Although future research should continue to explore potential moderators of intervention efficacy, our results suggest that the beneficial effect of positive activities in adolescents were universal across such factors as sex and socioeconomic status, bolstering claims of the scalability of positive activities to increase adolescent wellbeing. Public Library of Science 2017-11-06 /pmc/articles/PMC5673222/ /pubmed/29107994 http://dx.doi.org/10.1371/journal.pone.0187601 Text en © 2017 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, R. Adele. H.
Nelson-Coffey, S. Katherine
Layous, Kristin
Jacobs Bao, Katherine
Davis, Oliver S. P.
Haworth, Claire M. A.
Moderators of wellbeing interventions: Why do some people respond more positively than others?
title Moderators of wellbeing interventions: Why do some people respond more positively than others?
title_full Moderators of wellbeing interventions: Why do some people respond more positively than others?
title_fullStr Moderators of wellbeing interventions: Why do some people respond more positively than others?
title_full_unstemmed Moderators of wellbeing interventions: Why do some people respond more positively than others?
title_short Moderators of wellbeing interventions: Why do some people respond more positively than others?
title_sort moderators of wellbeing interventions: why do some people respond more positively than others?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5673222/
https://www.ncbi.nlm.nih.gov/pubmed/29107994
http://dx.doi.org/10.1371/journal.pone.0187601
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