Comparison of fruit and vegetable intakes during weight loss in males and females

Williams, Robert L.; Wood, Lisa G.; Collins, Clare E.; Callister, Robin

doi:10.1038/ejcn.2015.123

Cited by 8 publications

(8 citation statements)

References 22 publications

(25 reference statements)

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“…These findings are similar to other studies. One study also found only males significantly increased their fruit intake 16 . Two studies found similar results to the current study including significant reductions in weight in males and females, 26,27 and in one study, a significant reduction in dietary energy density, however unlike the current study this was in females only 26 .…”

Section: Discussionsupporting

confidence: 82%

“…Ethics approval was obtained from The University of Newcastle, Human Research Ethics Committee ( H‐2013‐0315 ), with written informed consent obtained from all participants. Using a mean weight loss of 2.59 kg (SD 3.83) (unpublished data), 16 powered at 80%, using 5% significance level and assuming a dropout rate of at least 30%, a sample size of 35 participants was deemed more than adequate to detect a 2 kg weight loss over 10 weeks.…”

Section: Methodsmentioning

confidence: 99%

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Changes in vegetable and fruit intakes and effects on anthropometric outcomes in males and females

Clarke

Rollo

Collins

et al. 2020

Nutrition & Dietetics

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Aim To investigate associations between changes in vegetable and fruit (V&F) intakes and anthropometric indices (weight, BMI, % body fat, waist circumference), including differences by sex, during a dietary weight‐loss intervention. Methods Adults (18‐45 years) with overweight/obesity (BMI 25‐35 kg/m2) entered a 10‐week pre‐post study, receiving individualised consults with an Accredited Practising Dietitian targeting increased V&F intakes. Dietary intake was assessed using 24‐hour recalls and food frequency questionnaires. Linear mixed models were used to examine how much of the changes in anthropometric indices were explained by changes in V&F intakes. Sex differences were assessed by Wilcoxon rank sum tests. Results Of the 43 participants enrolled, 34 completed the study (53% female). Significant differences in energy intake and anthropometric indices were observed between males and females at baseline. After 10 weeks, females significantly reduced their weight (−2.9%, P < .01), BMI (−0.82 kg/m2, P < .01), waist circumference (−1.70 cm, P < .01), energy intake (−824 kJ/day, P = .01) and improved diet quality (−14.0% energy‐dense, nutrient‐poor foods, P < .01). Males significantly reduced weight (−2.5%, P = .04), BMI (−0.76 kg/m2, P = .03), waist circumference (−2.40 cm, P = .02), energy intake (−2875 kJ/day, P < .01), increased fruit intake (+0.89 serves/day, P = .02) and improved diet quality (−6% energy‐dense, nutrient‐poor foods, P < .01). Compared to the other sex, greater reductions were observed in energy intake in males and energy‐dense, nutrient‐poor foods in females. Linear mixed models identified that changes in V&F intakes did not explain the variation in anthropometric measures. Conclusion Future interventions may benefit from trialling sex tailored messages to enhance effects on anthropometric changes.

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Section: Discussionsupporting

confidence: 82%

Section: Methodsmentioning

confidence: 99%

Changes in vegetable and fruit intakes and effects on anthropometric outcomes in males and females

Clarke

Rollo

Collins

et al. 2020

Nutrition & Dietetics

View full text Add to dashboard Cite

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“…The slight fall in vegetable intakes in the control arm may partially be explained by even higher baseline intakes than the intervention arms. This is seen in previous studies where changes in fruit and vegetable intakes are influenced by baseline intakes ( 19,20 ) . The universal fall in intakes of starchy vegetables, as a result of a reduction in consumption of potato‐based discretionary foods, was consistent with our previous analysis ( 21 ) .…”

Section: Discussionsupporting

confidence: 52%

Exploring dietary changes in an interdisciplinary intervention trial: Application of a dietary guidelines food composition database

Zoszak

Neale

Tapsell

et al. 2020

J Human Nutrition Diet

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“…Despite this, adjustments were made in the regression analyses to account for potential confounders. Although supplements were not adjusted for, previous research using this dataset found no influence on results [ 37 ]. For most foods, the scoring for ARFS was based on consumption of greater than, or equal to, once per week.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Australian Recommended Food Score (ARFS) and Plasma Carotenoid Concentrations: A Validation Study in Adults

et al. 2017

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Diet quality indices can predict nutritional adequacy of usual intake, but validity should be determined. The aim was to assess the validity of total and sub-scale score within the Australian Recommended Food Score (ARFS), in relation to fasting plasma carotenoid concentrations. Diet quality and fasting plasma carotenoid concentrations were assessed in 99 overweight and obese adults (49.5% female, aged 44.6 ± 9.9 years) at baseline and after three months (198 paired observations). Associations were assessed using Spearman’s correlation coefficients and regression analysis, and agreement using weighted kappa (Kw). Small, significantly positive correlations were found between total ARFS and plasma concentrations of total carotenoids (r = 0.17, p < 0.05), β-cryptoxanthin (r = 0.18, p < 0.05), β-carotene (r = 0.20, p < 0.01), and α-carotene (r = 0.19, p < 0.01). Significant agreement between ARFS categories and plasma carotenoid concentrations was found for total carotenoids (Kw 0.12, p = 0.02), β-carotene (Kw 0.14, p < 0.01), and α-carotene (Kw 0.13, p < 0.01). In fully-adjusted regression models the only signification association with ARFS total score was for α-carotene (β = 0.19, p < 0.01), while ARFS meat and fruit sub-scales demonstrated significant relationships with α-carotene, β-carotene, and total carotenoids (p < 0.05). The weak associations highlight the issues with self-reporting dietary intakes in overweight and obese populations. Further research is required to evaluate the use of the ARFS in more diverse populations.

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Comparison of fruit and vegetable intakes during weight loss in males and females

Abstract: Fruit and vegetable intake during weight loss does not appear to differ largely between males and females.

Cited by 8 publications

References 22 publications

Changes in vegetable and fruit intakes and effects on anthropometric outcomes in males and females

Changes in vegetable and fruit intakes and effects on anthropometric outcomes in males and females

Exploring dietary changes in an interdisciplinary intervention trial: Application of a dietary guidelines food composition database

Comparison of Australian Recommended Food Score (ARFS) and Plasma Carotenoid Concentrations: A Validation Study in Adults

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