Evidence map›Paper›PMID 31718605›Full record

ArticleBMC public health2019

Trends in overweight and obesity by socioeconomic status in Year 6 school children, Australian Capital Territory, 2006-2018.

Zongjian Yang, Hai Phung, Ann-Maree Hughes, Sommer Sherwood, Emily Harper, Paul Kelly

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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.

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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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  13. Physical Activity and Food Environments in and around Schools: A Case Study in Regional North-West Tasmania.International journal of environmental research and public health · 2022
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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

6 authors at 3 institutions in 1 country.

Zongjian YangPreventive and Population Health, ACT Health Directorate, 2-6 Bowes Street, Phillip, Canberra, ACT 2606, Australia. Oscar.Yang@aihw.gov.au.ORCID http://orcid.org/0000-0001-8814-4962
Hai PhungPreventive and Population Health, ACT Health Directorate, 2-6 Bowes Street, Phillip, Canberra, ACT 2606, Australia.
Ann-Maree HughesPreventive and Population Health, ACT Health Directorate, 2-6 Bowes Street, Phillip, Canberra, ACT 2606, Australia.
Sommer SherwoodPreventive and Population Health, ACT Health Directorate, 2-6 Bowes Street, Phillip, Canberra, ACT 2606, Australia.
Emily HarperPreventive and Population Health, ACT Health Directorate, 2-6 Bowes Street, Phillip, Canberra, ACT 2606, Australia.
Paul KellyPreventive and Population Health, ACT Health Directorate, 2-6 Bowes Street, Phillip, Canberra, ACT 2606, Australia.
Act Health · AUAustralian National University · AUGriffith University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the high prevalence and adverse consequences, overweight and obesity in children continues to be a major public health concern worldwide. Socioeconomic background and health-related behaviours (such as diet, physical activity and sedentary behaviors) are important factors associated with weight status in children. Using a series of height and weight assessments from the Australian Capital Territory Physical Activity and Nutrition Survey (ACTPANS), trends in prevalence of overweight and obesity by socioeconomic status were examined in ACT Year 6 school children between 2006 and 2018.

methodsThe ACTPANS has been conducted every 3 years since 2006. A total of 6729 children were surveyed. Complete data on height and weight were available for 6384 (94.9%) participants. Trends in the prevalence of overweight and obesity and associations between weight status and risk factors (such as socioeconomic status, physical activity, screen time and consumption of sugar-sweetened soft drinks (SSD)) were examined using logistic regression.

resultsThe prevalence of overweight and obesity remained stable in girls (from 22.5% in 2006 to 21.6% in 2018) but declined in boys (from 27.8 to 17.9%). During the same period, levels of physical activity increased slightly, while screen time and the consumption of fast food and SSD decreased. Socioeconomic gradient, based on the school-level Index of Community Socio-Educational Advantage (ICSEA), was highly associated with prevalence of overweight and obesity. Since 2006, the estimated prevalence of overweight and obesity has remained high in the lowest SES groups, but a concurrent downward trend was observed in the highest SES group, leading to increasing disparity between SES groups. Children in the lowest ICSEA quintile were more likely to be overweight or obese compared to those in the moderate and highest ICSEA quintiles. Children in lower ICSEA quintiles also reported lower levels of physical activity, higher levels of screen time, and higher levels of fast food and SSD consumption compared to those in higher ICSEA quintiles.

conclusionsWhile recent trends in overweight and obesity in ACT children are encouraging, the prevalence remains unacceptably high, especially in those from low socioeconomic backgrounds. Additional prevention efforts are required to address the socioeconomic disparity.

Indexed as

Adolescent BehaviorChild BehaviorHealth BehaviorSocial ClassAdolescentAustralian Capital TerritoryBody WeightChildDietExerciseFemaleHealth Status DisparitiesHumansLogistic ModelsMaleOverweightChildrenObesityOverweightPhysical activitySedentary behaviourSocioeconomic statusSugar-sweetened drinks

Identifiers

PMID31718605
PMCPMC6852987
OpenAlexW2986510095

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.