Evidence map›Paper›PMID 32645072›Full record

Observational studyPloS one2020

Main and interacting effects of physical activity and sedentary time on older adults' BMI: The moderating roles of socio-demographic and environmental attributes.

Delfien Van Dyck, Anthony Barnett, Jelle Van Cauwenberg, Casper J P Zhang, Cindy H P Sit, Ester Cerin

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Neighbourhood Socioeconomic Processes and Dynamics and Healthy Ageing: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. 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

6 authors at 5 institutions in 3 countries.

Delfien Van DyckFaculty of Medicine and Health Sciences, Department of Movement and Sports Science, Ghent University, Ghent, Belgium.ORCID 0000-0003-1783-9075
Anthony BarnettMary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.ORCID 0000-0002-6320-4073
Jelle Van CauwenbergResearch Foundation Flanders, Brussels, Belgium.
Casper J P ZhangSchool of Public Health, The University of Hong Kong, Hong Kong, China.
Cindy H P SitFaculty of Education, Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China.
Ester CerinMary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.ORCID 0000-0002-7599-165X
Research Foundation - Flanders · BEAustralian Catholic University · AUBaker Heart and Diabetes Institute · AUChinese University of Hong Kong · HKUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur first aim was to examine the main and interacting effects of accelerometer-based sedentary time (ST) and moderate-to-vigorous physical activity (MVPA) with BMI and the likelihood of being overweight/obese in Hong Kong and Ghent (Belgium) older adults. Second, we examined whether these main associations and interactions between MVPA and ST were moderated by socio-demographics (gender, education) and objective neighbourhood attributes supposed to be associated with healthy food intake (food outlet density, neighbourhood-level SES). Finally, we determined whether the associations and interactions were generalisable across study sites.

methodsData from the ALECS (Hong Kong) and BEPAS Seniors studies (Ghent), two comparable observational studies, were used. Older adults (n = 829, 65+) provided self-reported socio-demographic information and objective MVPA and ST data using Actigraph accelerometers. Annual household income data and GIS software were used to assess neighbourhood-level SES and food outlet density. Generalised additive mixed models were conducted in R.

resultsST was linearly and positively related to both weight outcomes in the overall sample, while MVPA was not. The overall-sample analyses including the two-way interaction between MVPA and ST showed no interactions between these behaviours on weight outcomes. Three site-specific findings were identified, showing distinct associations in Hong Kong compared to Ghent. Study site moderated the interaction between ST and MVPA on both weight outcomes, the interaction between education and ST on both weight outcomes and the interaction between the number of food outlets and ST on being overweight/obese.

conclusionsThe country-specific effects confirm the cultural dependency and complexity of the associations between PA, ST and weight outcomes. Future longitudinal international studies including older adults from multiple regions assessing PA, ST, weight outcomes and dietary intake should be encouraged. Such studies are needed to refine the recommendations regarding ST and PA in older adults in light of preventing overweight and obesity.

Indexed as

ExerciseSedentary BehaviorAgedAged, 80 and overBelgiumBody Mass IndexCross-Sectional StudiesFemaleHong KongHumansMaleObesityOverweightSocioeconomic Factors

Identifiers

PMID32645072
PMCPMC7347204
OpenAlexW3041387764

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.