Literature DB >> 33640428

Individual, social-environmental and physical-environmental correlates of diet quality in young adults aged 18-30 years.

Meaghan J Sexton-Dhamu1, Katherine M Livingstone2, Felicity J Pendergast1, Anthony Worsley1, Sarah A McNaughton1.   

Abstract

Many young adults eat a poor-quality diet. However, understanding of the social-ecological correlates of diet quality in young adults is limited. The aim of the present study was to examine the correlates of diet quality in a cohort of young Australian adults. Data from the cross-sectional Measuring EAting in everyday Life Study were used. Young adults (n = 625; 18-30 years; 73% female) were included if they provided dietary data over three or four non-consecutive days using 'FoodNow', a real-time food diary smartphone application. Diet quality was estimated using the 2013 Dietary Guidelines Index (DGI). Thirty correlates from three levels of the social-ecological framework were collected using an online questionnaire: individual (e.g., self-efficacy), social-environmental (e.g., social support) and physical-environmental (e.g., living situation). Linear regression analyses were used to examine associations between correlates and DGI. Six individual-level correlates were associated with DGI: perceived time scarcity (b = -0.664, CI: 1.160, -0.168), food insecurity (b = -0.962, CI: 1.746, -0.178), self-efficacy (b = 0.230, CI: 0.137, 0.323), being born in Australia (b = -3.165, CI: 5.521, -0.808), being employed in non-trade roles (b = -4.578, CI: 8.903, -0.252) and preparing a meals with vegetables daily (b = 4.576, CI: 1.652, 7.500). No social-environmental or physical-environmental correlates were associated with DGI. Overall, this study showed that young adults had a higher diet quality if they had higher self-efficacy, perceived themselves to be less time scarce and less food insecure, were born in Australia, were employed in non-trade roles and prepared a meal with vegetables daily. Healthy eating policies and interventions in young adults may benefit from targeting individual-level correlates.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Keywords:  Australian; Correlates; Diet quality; Dietary guideline index; Dietary patterns; Eating patterns; Young adults

Mesh:

Year:  2021        PMID: 33640428     DOI: 10.1016/j.appet.2021.105175

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  2 in total

1.  The association of social and food preparation location context with the quality of meals and snacks consumed by young adults: findings from the MYMeals wearable camera study.

Authors:  Virginia Chan; Lyndal Wellard-Cole; Alyse Davies; Wendy Watson; Clare Hughes; Kathy Chapman; Louise Signal; Cliona Ni Mhurchu; Leanne Wang; Danica D'Souza; Luke Gemming; Anna Rangan; Adrian Bauman; Margaret Allman-Farinelli
Journal:  Eur J Nutr       Date:  2022-05-06       Impact factor: 4.865

2.  Energy-dense dietary patterns high in free sugars and saturated fat and associations with obesity in young adults.

Authors:  Katherine Mary Livingstone; Meaghan J Sexton-Dhamu; Felicity J Pendergast; Anthony Worsley; Barbara Brayner; Sarah A McNaughton
Journal:  Eur J Nutr       Date:  2021-12-06       Impact factor: 5.614

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.