Evidence map›Paper›PMID 34684500›Full record

ArticleNutrients2021

Adherence to Dietary and Physical Activity Guidelines in Australian Undergraduate Biomedical Students and Associations with Body Composition and Metabolic Health: A Cross-Sectional Study.

Linda A Gallo, Tania F Gallo, Sophia L Young, Amelia K Fotheringham, Johanna L Barclay, Jacqueline L Walker, Karen M Moritz, Lisa K Akison

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Prevalence and Associated Factors of Physical Activity among Medical Students from the Western Balkans.International journal of environmental research and public health · 2022
    Article
  8. Article
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

8 authors.

Linda A GalloSchool of Biomedical Sciences, The University of Queensland, St Lucia, QLD 4072, Australia.ORCID 0000-0002-0471-8517
Tania F GalloNorth Melbourne Football Club, Arden Street, North Melbourne, VIC 3051, Australia.
Sophia L YoungSchool of Biomedical Sciences, The University of Queensland, St Lucia, QLD 4072, Australia.
Amelia K FotheringhamMater Research Institute-The University of Queensland, Translational Research Institute, Woolloongabba, QLD 4102, Australia.ORCID 0000-0002-3213-8923
Johanna L BarclayMater Research Institute-The University of Queensland, Translational Research Institute, Woolloongabba, QLD 4102, Australia.
Jacqueline L WalkerSchool of Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD 4072, Australia.ORCID 0000-0002-6325-453X
Karen M MoritzSchool of Biomedical Sciences, The University of Queensland, St Lucia, QLD 4072, Australia.
Lisa K AkisonSchool of Biomedical Sciences, The University of Queensland, St Lucia, QLD 4072, Australia.ORCID 0000-0002-2667-3743

Funding

National Health and Medical Research Council Early Career Fellowship to L.A.G.National Health and Medical Research Council Senior Research Fellowship to K.M.M.National Heart Foundation of Australia Early Career Fellowship to L.A.G.University of Queensland Amplify Fellowship to L.A.G.University of Queensland Institutional support from School of Biomedical Sciences
6 · The paper itself

Abstract

There is a paucity of data on whether Australian university students are meeting specific nutrient guidelines, and the relationship between diet and physical activity patterns with body composition and metabolic health. In this study, biomedical students from The University of Queensland were recruited (150 males and 211 females, 19-25 years), and nutritional intake (ASA24-Australia) and physical activity levels (Active Australia Survey) quantified. Body composition (height, waist circumference, body mass, BMI, and percentage body fat; BOD POD) and metabolic health (oral glucose tolerance test) were also measured. Median daily energy intake was 6760 kJ in females and 10,338 kJ in males, with more than 30% of total energy coming from energy-dense, nutrient-poor foods. Only 1 in 10 students met fruit or vegetable recommendations, with less than one third meeting recommendations for fibre, calcium, and potassium. Intakes of calcium and iron were particularly low among female students, with only 16% and 6% of students meeting the recommended dietary intake (RDI), respectively. The majority of males and almost half of all females exceeded the suggested dietary target (SDT) for sodium. Sufficient physical activity (≥150 min over ≥5 sessions per week) was met by more than 80% of students. Body composition and blood glucose concentrations were largely normal but an early sign of insulin resistance (HOMA-IR > 2.0), measured in a subset of students, was present in 21% of males and 17% of females. Modest reductions in blood glucose levels and percentage body fat were associated with increasing vigorous activity. Low intakes of fibre, calcium, and potassium could be corrected by increasing fruit, vegetable, and dairy intake, and, among females, health promotion messages focusing on iron-rich foods should be prioritised. While these nutrient deficiencies did not translate into immediate metabolic heath concerns, dietary behaviours can track into adulthood and have lasting effects on overall health.

Indexed as

Body CompositionExerciseAdultAustraliaBlood GlucoseBody Mass IndexCross-Sectional StudiesDiet, HealthyEatingFeeding BehaviorFemaleGlucose Tolerance TestGuideline AdherenceHumansMaleNutrition PolicyBlood Glucoseblood glucosedietexerciseinsulin resistanceobesityyoung adults

Identifiers

PMID34684500
PMCPMC8538134

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Registered trials

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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.