Evidence map›Paper›PMID 37596591›Full record

SynthesisBMC public health2023

Clustering of diet, physical activity and sedentary behaviour and related physical and mental health outcomes: a systematic review.

Noura Alosaimi, Lauren B Sherar, Paula Griffiths, Natalie Pearson

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06654674 (Gender Differences in Dietary Patterns and Physical Activity), which is not on this map. Cited by 67 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 5 pooled it
22.0field-weighted citation impact, top 1% of its field
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.

NCT06654674 completednot on this map

Gender Differences in Dietary Patterns and Physical Activity: An Insight With Principal Component Analysis (PCA)

TypeobservationalSponsorSan Raffaele Telematic UniversityRan2023 to 2024Enrolled2,509ConditionsDiet Surveys, Food Preferences
3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 5 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  5. 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
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7 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Noura AlosaimiSchool of Sport, Exercise & Health Sciences, Loughborough University, Epinal Way, Loughborough, LE11 3TU, Leicestershire, UK. n.n.alosaimi@lboro.ac.uk.
Lauren B SherarSchool of Sport, Exercise & Health Sciences, Loughborough University, Epinal Way, Loughborough, LE11 3TU, Leicestershire, UK.
Paula GriffithsSchool of Sport, Exercise & Health Sciences, Loughborough University, Epinal Way, Loughborough, LE11 3TU, Leicestershire, UK.
Natalie PearsonSchool of Sport, Exercise & Health Sciences, Loughborough University, Epinal Way, Loughborough, LE11 3TU, Leicestershire, UK.
Loughborough University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity (PA), sedentary behaviour (SB) and diet play an important role in the physical and mental health of young people. Understanding how these behaviours cluster, and the impact of clusters on health is important for the development of public health interventions. This review examines the prevalence of clusters of PA, sedentary time, and dietary behaviours, and how clusters relate to physical and mental health indicators among children, adolescents and young adults.

methodsElectronic (PubMed, Web of Science and Scopus) and manual searches were conducted for articles that were (i) observational studies including children, adolescents and/or young adults aged 5-24 years, (ii) examined the 'patterning', 'clustering', or 'co-existence' of each of PA, dietary behaviour and SB, and (iii) published in English up to and including July 2022. In addition to information on clustering, data on physical and mental health outcomes were extracted where reported. Included studies were assessed using the Cochrane risk of bias for observational studies. A narrative synthesis was conducted due to high heterogeneity. This review was registered with PROSPERO (CRD42021230976).

resultsForty-nine cross-sectional studies and four prospective cohort studies from eighteen countries reporting data from 778,415 individual participants were included. A broad range of clusters (n = 172) were found (healthy, unhealthy, and mixed). Mixed clusters were common (n = 98), and clusters of high diet quality, low PA and high SB were more prevalent in girls, while mixed clusters of high PA, high SB and low diet quality were more prevalent in boys. Unhealthy clusters comprising low moderate to vigorous PA, low consumption of fruits and vegetables, and high screen time were prevalent, particularly in those from lower socioeconomic status families. Compared to those with healthy behavioural clusters, those with unhealthy and mixed clusters had a higher adiposity, higher risk of cardiovascular disease, poorer mental health scores, and lower cardiorespiratory fitness.

conclusionsPA, SB and diet cluster in healthy, unhealthy and mixed patterns in young people that differ across sociodemographic characteristics. Unhealthy clusters are associated with poorer health outcomes. Intervention strategies targeting un-clustering multiple unhealthy behaviours should be developed and evaluated for their impact on health outcomes.

Indexed as

Mental HealthSedentary BehaviorAdolescentChildCross-Sectional StudiesDietFemaleHumansMaleProspective StudiesYoung AdultClusteringDepressionDietObesityPhysical activitySedentary behavioursYoung people

Identifiers

PMID37596591
PMCPMC10436445
OpenAlexW4385982413

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.