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Article
Publication date: 28 May 2020

Hüsna Kaya Kaçar, Amanda Avery, Sarah Bennett and Fiona McCullough

This paper aims to understand the association of dietary patterns with perceived fatigue and identify predictors for presence of fatigue in women who are obese and trying to lose…

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Abstract

Purpose

This paper aims to understand the association of dietary patterns with perceived fatigue and identify predictors for presence of fatigue in women who are obese and trying to lose weight.

Design/methodology/approach

An online survey, hosted by slimming world (SW), comprised of a questionnaire regarding weight, level of fatigue and food frequency questionnaire before joining the weight management programme (T0) and current data (T1) was conducted. In total, 543 non-pregnant women with obesity of child-bearing age (19-49 years) completed the survey (T0-T1). The principal components analysis was used to determine dietary patterns and multinomial logistic regression was used to analyse predictors for presence of fatigue.

Findings

The participants who have a “simple carbohydrate and high fat” dietary pattern were more likely to have fatigue at T0 (p ≤ 0.001) and those who followed a “vegetables” dietary pattern were less likely to have fatigue at T1 (p ≤ 0.05). The study findings indicate that while “simple carbohydrate and high fat” dietary pattern was associated with increased risk of fatigue, “vegetables” dietary pattern was associated with reduced risk of fatigue and a higher percentage of weight loss.

Originality/value

The present study appears to be the first study to examine associations between dietary patterns and fatigue. The strengths of the study included the in-depth analysis of this association in both before joining a weight management programme (SW) and currently as a member of SW with an adequate sample size.

Details

Nutrition & Food Science , vol. 50 no. 6
Type: Research Article
ISSN: 0034-6659

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