The Australian Recommended Food Score did not predict weight gain in middle‐aged Australian women during six years of follow‐up

Aljadani, Haya; Sibbritt, David; Patterson, Amanda; Collins, Clare E.

doi:10.1111/1753-6405.12079

Cited by 18 publications

(17 citation statements)

References 17 publications

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“…A longitudinal study, conducted in an American middle-aged population, demonstrated that those who achieved the highest score on the DQI had a smaller weight gain (3 pounds) than those who achieved the lowest DQI score (5–8 pounds) during eight years of followup [7]. In contrast, we have previously demonstrated that overall diet quality measured using the ARFS did not predict weight gain in a sub-sample of middle-aged women from the ALSWH [8]. …”

Section: Introductionmentioning

confidence: 99%

Diet Quality, Measured by Fruit and Vegetable Intake, Predicts Weight Change in Young Women

et al. 2013

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This study investigates the relationship between diet quality and weight gain in young women. Young women (n = 4,287, with 1,356 women identified as plausible subsample aged 27.6 ± 1.5 years at baseline) sampled from the Australian Longitudinal Study on Women's Health study completed food frequency questionnaires in 2003, which were used to evaluate diet quality using three indices: Australian Recommended Food Score (ARFS), Australian Diet Quality Index (Aus-DQI), and Fruit and Vegetable Index (FAVI). Weight was self-reported in 2003 and 2009. Multivariate linear regression was used to examine the association between tertiles of each diet quality index and weight change from 2003 to 2009. The ARFS and FAVI were significant predictors of 6-year weight change in this group of young women, while Aus-DQI did not predict weight change (P > 0.05). In the fully adjusted model, those who were in the top tertile of the ARFS significantly gained lower weight gain compared with the lower tertile for the plausible TEI sub-sample (β = −1.6 kg (95% CI: −2.67 to −0.56), P = 0.003). In the fully adjustment model, young women were classified in the highest FAVI tertile and gained significantly less weight than those in the lowest tertile for the plausible TEI (β = −1.6 kg (95% CI: −2.4 to −0.3) P = 0.01). In conclusion, overall diet quality measured by the ARFS and the frequency and variety of fruit and vegetable consumption may predict long-term weight gain in young women. Therefore, health promotion programs encouraging frequent consumption of a wide variety of fruits and vegetables are warranted.

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Section: Introductionmentioning

confidence: 99%

Diet Quality, Measured by Fruit and Vegetable Intake, Predicts Weight Change in Young Women

et al. 2013

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“…A recent systematic review found an association between poor diet quality and weight gain in adults, with 8 of the 10 studies that examined women only, having a significant inverse association between poor diet quality and weight gain. In a recent sub‐analysis of 48‐ to 56‐ year‐old women from the ALSWH, diet quality was not associated with six‐year weight change (β = 0.016; P = 0.08) as measured by the Australian Recommended Food Score . More attention should be focused on determining the association between diet quality, energy intake and adverse health outcomes in weight gain prevention studies because of the potential confounder of energy misreporting.…”

Section: Discussionmentioning

confidence: 99%

“…In a recent sub-analysis of 48-to 56-year-old women from the ALSWH, diet quality was not associated with six-year weight change (β = 0.016; P = 0.08) as measured by the Australian Recommended Food Score. 30 More attention should be focused on determining the association between diet quality, energy intake and adverse health outcomes in weight gain prevention studies because of the potential confounder of energy misreporting.…”

Section: Discussionmentioning

confidence: 99%

The 40‐Something Randomised Controlled Trial improved fruit intake and nutrient density of the diet in mid‐age women

Hollis

Williams

Morgan

et al. 2015

Nutrition & Dietetics

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Aim:The 40-Something Randomised Controlled Trial (RCT) aimed to determine if a 12-month health professional-led intervention could improve dietary intake and increase physical activity for weight gain prevention in non-obese premenopausal women. Methods: Fifty-four women were randomised to a motivational interviewing intervention (MI) (n = 28; five health professional consultations) or a self-directed intervention (SDI; n = 26; written advice). Weight control behaviours including dietary intake (four-day weighed food record) and physical activity (pedometer steps; minutes spent in light, moderate and vigorous activity; sitting time) were measured at baseline, and at 3 and 12 months. Participants completed a questionnaire containing demographic questions, Short Form 36 and the International Physical Activity Questionnaire at baseline and 12 months. Linear mixed model analyses adjusting for baseline and 3-month behaviour, covariates and interactions were used to test for between-group differences. Results: At 12 months, the MI group had diets significantly more nutrient dense in iron (P = 0.01) and potassium (P = 0.04), and consumed more fruits (P = 0.02) than the SDI women. Women who achieved their weight control goals consumed significantly more daily fruit servings (+0.76 servings/day, P = 0.02) and less meat/meat alternatives (−0.34 servings/day, P < 0.01) than women who did not achieve weight control. The lack of changes in physical activity indicates that more emphasis may need to be placed on promoting physical activity. Conclusions: The findings demonstrated the effectiveness of the 40-Something RCT in improving iron and potassium nutrient density and fruit servings per day in women soon to commence menopause.

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“…Previous studies that used this tool described better self-reported health status, higher intakes of key nutrients, and lower intakes of total fat and saturated fat in subjects among the highest quintile of Australian Recommended Food score (ARFS), compared to those in the lowest quintile. 110 Therefore, ARFS described nutrition's impact on health based on dietary patterns rather than on single nutrients intake. Such characteristic is particularly appealing for intervention studies, where changes in dietary patterns and food groups can be assessed and linked to health outcomes.…”

Section: Key Region Componentsmentioning

confidence: 99%

“…105 The ARFS has been recently validated with a middle-aged cohort in the Australian Longitudinal Study on Women's Health. 108,110 The calculation in this score was based on regular consumption of FFQ items that are in line with Australian dietary guidelines. 109,264 The method included seven sub-scales with scores ranging from 0-74.…”

Section: Dietmentioning

confidence: 99%

Health promotion in the workplace: changing the diet and physical activity behaviour of nurses

Torquati¹

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The Australian Recommended Food Score did not predict weight gain in middle‐aged Australian women during six years of follow‐up

Abstract: This lack of association may be due to limitations related to AFRS, or may be a false negative finding. Further research is warranted to evaluate the impact of promoting optimal diet quality on weight gain prospectively.

Cited by 18 publications

References 17 publications

Diet Quality, Measured by Fruit and Vegetable Intake, Predicts Weight Change in Young Women

Diet Quality, Measured by Fruit and Vegetable Intake, Predicts Weight Change in Young Women

The 40‐Something Randomised Controlled Trial improved fruit intake and nutrient density of the diet in mid‐age women

Health promotion in the workplace: changing the diet and physical activity behaviour of nurses

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