Evidence map›Paper›PMID 37271724›Full record

ArticlePublic health nutrition2023

Cross-sectional and prospective associations between behavioural patterns and adiposity in school-aged children.

Ninoshka J D'Souza, Katherine Downing, Miaobing Zheng, Gavin Abbott, Sandrine Lioret, Karen J Campbell, Kylie D Hesketh

Abstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Tracking and changes in the clustering of physical activity, sedentary behavior, diet, and sleep across childhood and adolescence: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Association of early childhood lifestyle patterns with overweight in preschoolers and timing of adiposity rebound.The international journal of behavioral nutrition and physical activity · 2026
    Article
  3. Article
  4. 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

7 authors.

Ninoshka J D'SouzaInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood3125, VIC, Australia.ORCID 0000-0003-2630-4662
Katherine DowningInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood3125, VIC, Australia.
Miaobing ZhengInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood3125, VIC, Australia.
Gavin AbbottInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood3125, VIC, Australia.
Sandrine LioretResearch Center in Epidemiology and Biostatistics (CRESS), Université de Paris, INSERM, INRAE, 75004Paris, France.
Karen J CampbellInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood3125, VIC, Australia.
Kylie D HeskethInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood3125, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBehavioural patterns are important in understanding the synergistic effect of multiple health behaviours on childhood adiposity. Most previous evidence assessing associations between patterns and adiposity were cross-sectional and investigated two or three behaviour domains within patterns. This study aimed to identify behavioural patterns comprising four behaviour domains and investigate associations with adiposity risk in children.

designParent-report and accelerometry data were used to capture daily dietary, physical activity, sedentary behaviour and sleep data. Variables were standardised and included in the latent profile analysis to derive behavioural patterns. Trained researchers measured children's height, weight and waist circumference using standardised protocols. Associations of patterns and adiposity measures were tested using multiple linear regression.

settingMelbourne, Australia.

participantsA total of 337 children followed up at 6-8 years (T2) and 9-11 years (T3).

resultsThree patterns derived at 6-8 years were broadly identified to be healthy, unhealthy and mixed patterns. Patterns at 9-11 years were dissimilar except for the unhealthy pattern. Individual behaviours characterising the patterns varied over time. No significant cross-sectional or prospective associations were observed with adiposity at both time points; however, children displaying the unhealthy pattern had higher adiposity measures than other patterns.

conclusionThree non-identical patterns were identified at 6-8 and 9-11 years. The individual behaviours that characterised patterns (dominant behaviours) at both ages are possible drivers of the patterns obtained and could explain the lack of associations with adiposity. Identifying individual behaviour pattern drivers and strategic intervention are key to maintain and prevent the decline of healthy patterns.

Indexed as

AdiposityPediatric ObesityBody Mass IndexChildDietExerciseHumansAdiposityChildrenDietPhysical activitySedentary behaviourSleep

Identifiers

PMID37271724
PMCPMC10478049

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.