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Demographic, behavioural and anthropometric correlates of food liking: A cross‐sectional analysis of young adults

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Version 2 2024-06-18, 23:46
Version 1 2020-10-26, 08:28
journal contribution
posted on 2020-10-09, 00:00 authored by Katherine LivingstoneKatherine Livingstone, H Pnosamy, Lynn RiddellLynn Riddell, S Cicerale
The degree to which foods are liked or disliked is associated with dietary intake and health behaviours. However, most food liking research has focused on single foods and nutrients and few studies have examined associations with demographics and health behaviours. Thus, this study aimed to investigate the association between food liking and socio-demographics, health behaviours, diet quality and body mass index (BMI) in a sample of young Australian adults. Data from 1728 undergraduate students (21.8 (standard deviation [SD] 6.0) years; 76% female) were used. Food liking scores and a diet quality index (Dietary Guideline Index, DGI) were estimated from a Food Liking Questionnaire and Food Frequency Questionnaire (FFQ), respectively. Multivariate linear regression analyses were used to assess the association between food liking and correlates. Young adults with higher liking for encouraged core foods were older, female, did their own food shopping, consumed less packaged foods and had better diet quality. Higher liking for discretionary foods and beverages was associated with less healthy behaviours, such as smoking, higher BMI and lower diet quality. These results suggest that food liking measures may offer an appropriate methodology for understanding influences on young adults’ food choices, adding to the body of literature investigating the potential for food liking scores to assess diet–disease relationships.

History

Journal

Nutrients

Volume

12

Article number

ARTN 3078

Pagination

1-15

Location

Switzerland

ISSN

2072-6643

eISSN

2072-6643

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2020, the authors

Issue

10

Publisher

MDPI