Kathryn Backholer1, Elizabeth Spencer1, Emma Gearon1, Dianna J Magliano2, Sarah A McNaughton3, Jonathan E Shaw4, Anna Peeters1. 1. 1Obesity and Population Health,Baker IDI Heart and Diabetes Institute,Alfred Centre,Commercial Road,Melbourne,VIC 3004,Australia. 2. 2Diabetes and Population Health,Baker IDI Heart and Diabetes Institute,Melbourne,Australia. 3. 3Centre for Physical Activity and Nutrition Research,School of Exercise and Nutrition Sciences,Deakin University,Melbourne,Australia. 4. 4Clinical Epidemiology and Diabetes,Baker IDI Heart and Diabetes Institute,Melbourne,Australia.
Abstract
OBJECTIVE: We aimed to investigate the association between multiple measures of socio-economic position (SEP) and diet quality, using a diet quality index representing current national dietary guidelines, in the Australian adult population. DESIGN: Cross-sectional study. Linear regression analyses were used to estimate the association between indicators of SEP (educational attainment, level of income and area-level disadvantage) and diet quality (measured using the Dietary Guideline Index (DGI)) in the total sample and stratified by sex and age (≤55 years and >55 years). SETTING: A large randomly selected sample of the Australian adult population. SUBJECTS: Australian adults (n 9296; aged ≥25 years) from the Australian Diabetes, Obesity and Lifestyle Study. RESULTS: A higher level of educational attainment and income and a lower level of area-level disadvantage were significantly associated with a higher DGI score, across the gradient of SEP. The association between indicators of SEP and DGI score was consistently stronger among those aged ≤55 years compared with their older counterparts. The most disadvantaged group had a DGI score between 2 and 5 units lower (depending on the marker of SEP) compared with the group with the least disadvantage. CONCLUSIONS: A higher level of SEP was consistently associated with a higher level of diet quality for all indicators of SEP examined. In order to reduce socio-economic inequalities in diet quality, healthy eating initiatives need to act across the gradient of socio-economic disadvantage with a proportionate focus on those with greater socio-economic disadvantage.
OBJECTIVE: We aimed to investigate the association between multiple measures of socio-economic position (SEP) and diet quality, using a diet quality index representing current national dietary guidelines, in the Australian adult population. DESIGN: Cross-sectional study. Linear regression analyses were used to estimate the association between indicators of SEP (educational attainment, level of income and area-level disadvantage) and diet quality (measured using the Dietary Guideline Index (DGI)) in the total sample and stratified by sex and age (≤55 years and >55 years). SETTING: A large randomly selected sample of the Australian adult population. SUBJECTS: Australian adults (n 9296; aged ≥25 years) from the Australian Diabetes, Obesity and Lifestyle Study. RESULTS: A higher level of educational attainment and income and a lower level of area-level disadvantage were significantly associated with a higher DGI score, across the gradient of SEP. The association between indicators of SEP and DGI score was consistently stronger among those aged ≤55 years compared with their older counterparts. The most disadvantaged group had a DGI score between 2 and 5 units lower (depending on the marker of SEP) compared with the group with the least disadvantage. CONCLUSIONS: A higher level of SEP was consistently associated with a higher level of diet quality for all indicators of SEP examined. In order to reduce socio-economic inequalities in diet quality, healthy eating initiatives need to act across the gradient of socio-economic disadvantage with a proportionate focus on those with greater socio-economic disadvantage.
Entities:
Keywords:
Diet quality; Education; Obesity; Socio-economic position
Authors: Dana Lee Olstad; Karen E Lamb; Lukar E Thornton; Sarah A McNaughton; David A Crawford; Leia M Minaker; Kylie Ball Journal: Int J Epidemiol Date: 2017-10-01 Impact factor: 7.196
Authors: Anna Gavrieli; Olivia M Farr; Cynthia R Davis; Judith A Crowell; Christos S Mantzoros Journal: Metabolism Date: 2015-09-26 Impact factor: 8.694
Authors: Mary Barker; Janis Baird; Tannaze Tinati; Christina Vogel; Sofia Strömmer; Taylor Rose; Rufia Begum; Megan Jarman; Jenny Davies; Sue Thompson; Liz Taylor; Hazel Inskip; Cyrus Cooper; Don Nutbeam; Wendy Lawrence Journal: Healthcare (Basel) Date: 2017-03-20
Authors: Aline Veroneze de Mello; Flávia Mori Sarti; Jaqueline Lopes Pereira; Moisés Goldbaum; Chester Luiz Galvão Cesar; Maria Cecilia Goi Porto Alves; Regina Mara Fisberg Journal: Int J Equity Health Date: 2018-06-07
Authors: Parizad Avari; Rebecca Unsworth; Siân Rilstone; Chukwuma Uduku; Karen M Logan; Neil E Hill; Ian F Godsland; Monika Reddy; Nick Oliver Journal: PLoS One Date: 2021-07-20 Impact factor: 3.240
Authors: Katherine M Livingstone; Dana Lee Olstad; Rebecca M Leech; Kylie Ball; Beth Meertens; Jane Potter; Xenia Cleanthous; Rachael Reynolds; Sarah A McNaughton Journal: Nutrients Date: 2017-10-04 Impact factor: 5.717