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Does Social and Economic Disadvantage Predict Lower Engagement with Parenting Interventions? An Integrative Analysis Using Individual Participant Data

There is a social gradient to the determinants of health; low socioeconomic status (SES) has been linked to reduced educational attainment and employment prospects, which in turn affect physical and mental wellbeing. One goal of preventive interventions, such as parenting programs, is to reduce thes...

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Autores principales: Berry, Vashti, Melendez-Torres, G. J., Axford, Nick, Axberg, Ulf, de Castro, Bram Orobio, Gardner, Frances, Gaspar, Maria Filomena, Handegård, Bjørn Helge, Hutchings, Judy, Menting, Ankie, McGilloway, Sinéad, Scott, Stephen, Leijten, Patty
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678811/
https://www.ncbi.nlm.nih.gov/pubmed/35870094
http://dx.doi.org/10.1007/s11121-022-01404-1
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author Berry, Vashti
Melendez-Torres, G. J.
Axford, Nick
Axberg, Ulf
de Castro, Bram Orobio
Gardner, Frances
Gaspar, Maria Filomena
Handegård, Bjørn Helge
Hutchings, Judy
Menting, Ankie
McGilloway, Sinéad
Scott, Stephen
Leijten, Patty
author_facet Berry, Vashti
Melendez-Torres, G. J.
Axford, Nick
Axberg, Ulf
de Castro, Bram Orobio
Gardner, Frances
Gaspar, Maria Filomena
Handegård, Bjørn Helge
Hutchings, Judy
Menting, Ankie
McGilloway, Sinéad
Scott, Stephen
Leijten, Patty
author_sort Berry, Vashti
collection PubMed
description There is a social gradient to the determinants of health; low socioeconomic status (SES) has been linked to reduced educational attainment and employment prospects, which in turn affect physical and mental wellbeing. One goal of preventive interventions, such as parenting programs, is to reduce these health inequalities by supporting families with difficulties that are often patterned by SES. Despite these intentions, a recent individual participant data (IPD) meta-analysis of the Incredible Years (IY) parenting program found no evidence for differential benefit by socioeconomic disadvantage (Gardner et al. in Public Health Resesearch 5, 1–144, 2017). However, it did not examine whether this was influenced by engagement in the intervention. Using intervention arm data from this pooled dataset (13 trials; N = 1078), we examined whether there was an SES gradient to intervention attendance (an indicator of engagement). We ran mixed-effects Poisson regression models to estimate incidence rate ratios (IRRs) for program attendance for each of five (binary) markers of SES: low income; unemployment; low education status; teen parent; and lone parent status. The multilevel structure of the data allowed for comparison of within-trial and between-trial effects, including tests for contextual effects. We found evidence that low SES was associated with reduced attendance at parenting programs—an 8–19% reduction depending on the SES marker. However, there was no evidence that this association is impacted by differences in SES composition between trials or by the attendance levels of higher-SES families. The findings underscore the importance of developing and prioritizing strategies that enable engagement in parenting interventions and encourage program attendance by low-SES families. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11121-022-01404-1.
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spelling pubmed-106788112022-07-23 Does Social and Economic Disadvantage Predict Lower Engagement with Parenting Interventions? An Integrative Analysis Using Individual Participant Data Berry, Vashti Melendez-Torres, G. J. Axford, Nick Axberg, Ulf de Castro, Bram Orobio Gardner, Frances Gaspar, Maria Filomena Handegård, Bjørn Helge Hutchings, Judy Menting, Ankie McGilloway, Sinéad Scott, Stephen Leijten, Patty Prev Sci Article There is a social gradient to the determinants of health; low socioeconomic status (SES) has been linked to reduced educational attainment and employment prospects, which in turn affect physical and mental wellbeing. One goal of preventive interventions, such as parenting programs, is to reduce these health inequalities by supporting families with difficulties that are often patterned by SES. Despite these intentions, a recent individual participant data (IPD) meta-analysis of the Incredible Years (IY) parenting program found no evidence for differential benefit by socioeconomic disadvantage (Gardner et al. in Public Health Resesearch 5, 1–144, 2017). However, it did not examine whether this was influenced by engagement in the intervention. Using intervention arm data from this pooled dataset (13 trials; N = 1078), we examined whether there was an SES gradient to intervention attendance (an indicator of engagement). We ran mixed-effects Poisson regression models to estimate incidence rate ratios (IRRs) for program attendance for each of five (binary) markers of SES: low income; unemployment; low education status; teen parent; and lone parent status. The multilevel structure of the data allowed for comparison of within-trial and between-trial effects, including tests for contextual effects. We found evidence that low SES was associated with reduced attendance at parenting programs—an 8–19% reduction depending on the SES marker. However, there was no evidence that this association is impacted by differences in SES composition between trials or by the attendance levels of higher-SES families. The findings underscore the importance of developing and prioritizing strategies that enable engagement in parenting interventions and encourage program attendance by low-SES families. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11121-022-01404-1. Springer US 2022-07-23 2023 /pmc/articles/PMC10678811/ /pubmed/35870094 http://dx.doi.org/10.1007/s11121-022-01404-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Berry, Vashti
Melendez-Torres, G. J.
Axford, Nick
Axberg, Ulf
de Castro, Bram Orobio
Gardner, Frances
Gaspar, Maria Filomena
Handegård, Bjørn Helge
Hutchings, Judy
Menting, Ankie
McGilloway, Sinéad
Scott, Stephen
Leijten, Patty
Does Social and Economic Disadvantage Predict Lower Engagement with Parenting Interventions? An Integrative Analysis Using Individual Participant Data
title Does Social and Economic Disadvantage Predict Lower Engagement with Parenting Interventions? An Integrative Analysis Using Individual Participant Data
title_full Does Social and Economic Disadvantage Predict Lower Engagement with Parenting Interventions? An Integrative Analysis Using Individual Participant Data
title_fullStr Does Social and Economic Disadvantage Predict Lower Engagement with Parenting Interventions? An Integrative Analysis Using Individual Participant Data
title_full_unstemmed Does Social and Economic Disadvantage Predict Lower Engagement with Parenting Interventions? An Integrative Analysis Using Individual Participant Data
title_short Does Social and Economic Disadvantage Predict Lower Engagement with Parenting Interventions? An Integrative Analysis Using Individual Participant Data
title_sort does social and economic disadvantage predict lower engagement with parenting interventions? an integrative analysis using individual participant data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678811/
https://www.ncbi.nlm.nih.gov/pubmed/35870094
http://dx.doi.org/10.1007/s11121-022-01404-1
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