Harrington, JM, Dahly, DL, Fitzgerald, AP et al. (2 more authors) (2014) Capturing changes in dietary patterns among older adults: a latent class analysis of an ageing Irish cohort. Public Health Nutrition, 17 (12). 2674 - 2686. ISSN 1368-9800
Abstract
Objective: Data-driven approaches to dietary patterns are under-utilized; latent class analyses (LCA) are particularly rare. The present study used an LCA to identify subgroups of people with similar dietary patterns, explore changes in dietary patterns over a 10-year period and relate these dynamics to sociodemographic factors and health outcomes. Design: The 1998 baseline and 2008 follow-up of the Cork and Kerry Diabetes and Heart Disease Study. Diets were assessed with a standard FFQ. LCA, under the assumption of conditional independence, was used to identify mutually exclusive subgroups with different dietary patterns, based on food group consumption. Setting: Republic of Ireland. Subjects: Men and women aged 50-69 years at baseline (n 923) and at 10-year follow-up (n 320). Results: Three dietary classes emerged: Western, Healthy and Low-Energy. Significant differences in demographic, lifestyle and health outcomes were associated with class membership. Between baseline and follow-up most people remained 'stable' in their dietary class. Most of those who changed class moved to the Healthy class. Higher education was associated with transition to a healthy diet; lower education was associated with stability in an unhealthy pattern. Transition to a healthy diet was associated with higher CVD risk factors at baseline: respondents were significantly more likely to be smokers, centrally obese and to have hypertension (non-significant). Conclusions: LCA is useful for exploring dietary patterns transitions. Understanding the predictors of longitudinal stability/transitions in dietary patterns will help target public health initiatives by identifying subgroups most/least likely to change and most/least likely to sustain a change.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Ageing; Dietary patterns; Latent class analysis; Nutrition |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Division of Epidemiology & Biostatistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Sep 2015 10:54 |
Last Modified: | 03 Nov 2016 07:53 |
Published Version: | http://dx.doi.org/10.1017/S1368980014000111 |
Status: | Published |
Publisher: | Cambridge University Press |
Identification Number: | 10.1017/S1368980014000111 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:87434 |