Evidence map›Paper›PMID 40692552›Full record

ArticleJournal of nutritional science2025

Understanding Australian adults' preferences for setting goals to reduce unhealthy food and beverage intake: a cross-sectional study.

Chelsea E Mauch, Ashlee Fuchs, Caitlin A Howlett, Gilly A Hendrie

Abstract read
In one paragraph

Article in Journal of nutritional science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chelsea E MauchHuman Health, Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation (CSIRO), SAHMRI, Adelaide 5000, SA, Australia.
Ashlee FuchsNutrition and Dietetics, College of Nursing and Health Sciences, Flinders University, Bedford Park 5042, SA, Australia.
Caitlin A HowlettHuman Health, Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation (CSIRO), SAHMRI, Adelaide 5000, SA, Australia.ORCID https://orcid.org/0000-0002-4584-8641
Gilly A HendrieHuman Health, Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation (CSIRO), SAHMRI, Adelaide 5000, SA, Australia.ORCID https://orcid.org/0000-0001-7387-2422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overconsumption of unhealthy, discretionary, foods and beverages are associated with an increased risk of weight gain and non-communicable diseases, including diabetes, heart disease, and cancer. This cross-sectional study explored preferences for setting goals to reduce discretionary food and beverage consumption. The online survey included items about discretionary food and beverage intake, goal setting preferences to reduce intake, habit strength, personality traits, and demographic characteristics. A total of 2664 Australian adults completed the survey. The sample was mostly female (65.9%), half (52.8%) were aged between 30-49 years, and the median intake of discretionary food and beverages was 4.9 (IQR: 3.6 to 7.2) serves per day. Multinomial logistic regression and ordinal logistic regression models were used to explore demographic and psychological predictors of the helpfulness of long-term and short-term goals, elimination and gradual goals, specific food goals, specific eating occasion and food goals, self-set goals, collaboratively set goals, and assigned goals. The results showed participants with higher habit strength had greater odds of finding short-term (OR 1.40, 95% CI 1.06-1.86), gradual (OR 1.14, 95% CI 1.01-1.29), specific (OR 1.35, 95% CI 0.84-1.76), assigned (OR 1.38, 95% CI 1.14-1.66) and collaborative goals (OR 1.24, 95% CI 1.01-1.53) helpful. The results also indicated that age and gender were important predictors of goal setting preferences, particularly for long-term goals, elimination goals, broad goals, and collaborative goals. Interventions to reduce discretionary food and beverage intake are needed and consideration of goal setting preferences could be a novel way to developing more tailored and effective dietary interventions.

Indexed as

BeveragesFeeding BehaviorFood PreferencesGoalsAdultAustraliaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultADG, Australian Dietary GuidelinesADHE, Australian Guide to Healthy EatingAdultBCT, Behaviour Change TechniqueBehaviour changeBFI, Big Five InventoryBMI, Body Mass IndexCSIRO, Commonwealth Scientific Industrial Research OrganisationDiscretionary foodGoal settingNutritionWHO, World Health Organisation

Identifiers

PMID40692552
PMCPMC12278176

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.