Ontology highlight
ABSTRACT: Introduction
Improving diet is a prime target for the prevention and management of chronic disease. The communal coping model suggests that families can mitigate shared risk of chronic disease through encouragement of healthful eating, eliciting preventive behaviors.Method
Using network data from 69 Australian families across three ancestry groups (Anglo, Italian, and Asian) with varied family health histories, the present study applied social network analysis to identify patterns of intergenerational encouragement of healthful eating behavior within families, and assess whether patterns varied by family ancestry or disease density.Results
Findings indicated variation in patterns of health encouragement by ancestry such that Asian-Australian families were most distinct from the other ancestry groups. While there was no main effect of familial disease history, it moderated the effect of Italian ancestry on intergenerational encouragement patterns.Discussion
These results provide important context for future family based interventions that leverage normative patterns of intergenerational exchange of encouragement or aim to modify such patterns in an effort to improve family health. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
SUBMITTER: Manalel JA
PROVIDER: S-EPMC6905198 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
Manalel Jasmine A JA Marcum Christopher Steven CS Calabrese Samantha S de la Haye Kayla K Hughes Donna D Prichard Ivanka I Hutchinson Amanda A Wilson Carlene C Koehly Laura L
Families, systems & health : the journal of collaborative family healthcare 20191201 4
<h4>Introduction</h4>Improving diet is a prime target for the prevention and management of chronic disease. The communal coping model suggests that families can mitigate shared risk of chronic disease through encouragement of healthful eating, eliciting preventive behaviors.<h4>Method</h4>Using network data from 69 Australian families across three ancestry groups (Anglo, Italian, and Asian) with varied family health histories, the present study applied social network analysis to identify pattern ...[more]