Dataset Information

Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial.

ABSTRACT:

Background

The effect of personalised nutrition advice on discretionary foods intake is unknown. To date, two national classifications for discretionary foods have been derived. This study examined changes in intake of discretionary foods and beverages following a personalised nutrition intervention using these two classifications.

Methods

Participants were recruited into a 6-month RCT across seven European countries (Food4Me) and were randomised to receive generalised dietary advice (control) or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Dietary intake was derived from an FFQ. An analysis of covariance was used to determine intervention effects at month 6 between personalised nutrition (overall and by levels) and control on i) percentage energy from discretionary items and ii) percentage contribution of total fat, SFA, total sugars and salt to discretionary intake, defined by Food Standards Scotland (FSS) and Australian Dietary Guidelines (ADG) classifications.

Results

Of the 1607 adults at baseline, n = 1270 (57% female) completed the intervention. Percentage sugars from FSS discretionary items was lower in personalised nutrition vs control (19.0 ± 0.37 vs 21.1 ± 0.65; P = 0.005). Percentage energy (31.2 ± 0.59 vs 32.7 ± 0.59; P = 0.031), percentage total fat (31.5 ± 0.37 vs 33.3 ± 0.65; P = 0.021), SFA (36.0 ± 0.43 vs 37.8 ± 0.75; P = 0.034) and sugars (31.7 ± 0.44 vs 34.7 ± 0.78; P < 0.001) from ADG discretionary items were lower in personalised nutrition vs control. There were greater reductions in ADG percentage energy and percentage total fat, SFA and salt for those randomised to L3 vs L2.

Conclusions

Compared with generalised dietary advice, personalised nutrition advice achieved greater reductions in discretionary foods intake when the classification included all foods high in fat, added sugars and salt. Future personalised nutrition approaches may be used to target intake of discretionary foods.

Trial registration

Clinicaltrials.gov NCT01530139 . Registered 9 February 2012.

SUBMITTER: Livingstone KM

PROVIDER: S-EPMC8183081 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectivesThis study aimed to explore psychological distress, lifestyle, and demographic factors, as well as their relationship to discretionary choices in women of reproductive age during the coronavirus disease 2019 pandemic in Australia.MethodsReproductive-aged women (18-50 y) in Australia participated in a national online survey. Psychological distress score (using a validated 10-item Kessler Psychological Distress Scale questionnaire) was the primary exposure of interest, and key outcomes were frequencies of discretionary choices (sugar-sweetened beverages [SSBs], alcohol, and discretionary foods). Sociodemographic and physical activity data were also collected. Logistic regression was used to report adjusted odds ratio (aOR) and 95% confidence interval to predict SSBs (less than weekly; most days/daily), total discretionary foods (none/<2 times/d; ≥3 times/d), and alcohol use (never/less than monthly; most weeks/daily).ResultsA total of 1005 women were included in the study, of whom 40% had a high level of psychological distress. Women with high psychological distress (aOR: 1.96; 95% CI, 1.32-2.91) and those who gained weight during the pandemic (aOR: 1.71; 95% CI, 1.10-2.65) were more likely to consume discretionary foods ≥3 times/d. There was no association between psychological distress and SSB intake or alcohol; however, Australian, New Zealander, or Pacific Islander background (aOR: 1.68; 95% CI, 1.21-2.33) and more hours of sitting time (aOR: 1.88; 95% CI, 1.07-3.29) were associated with SSB consumption on most days/daily. Older age (aOR: 1.70; 95% CI, 1.00-2.89), higher household income (aOR: 1.44; 95% CI, 1.08-1.92), and moderate or high physical activity (aOR: 1.75; 95% CI, 1.10-2.80) were associated with alcohol intake on most weeks/daily.ConclusionsPublic health messaging to promote healthy eating should take into account the effect of psychological distress on health behavior. Messages aimed at maintaining a positive relationship between food intake and mental wellbeing, particularly among vulnerable groups, are warranted.