Evidence map›Paper›PMID 30096192›Full record

ArticlePloS one2018

Correlates of sedentary behavior in the general population: A cross-sectional study using nationally representative data from six low- and middle-income countries.

Ai Koyanagi, Brendon Stubbs, Davy Vancampfort

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

Ai KoyanagiResearch and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain.ORCID 0000-0002-9565-5004
Brendon StubbsPhysiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, United Kingdom.
Davy VancampfortLeuven Department of Rehabilitation Sciences, Leuven, Belgium.

Funding

Department of Health ICA-CL-2017-03-001
6 · The paper itself

Abstract

backgroundSedentary behavior (SB) is associated with adverse health outcomes independent of levels of physical activity. However, data on its correlates are scarce from low- and middle-income countries (LMICs). Thus, we assessed the correlates of SB in six LMICs (China, Ghana, India, Mexico, Russia, South Africa) using nationally representative data.

methodsCross-sectional, community-based data on 42,469 individuals aged ≥18 years from the World Health Organization's Study on Global Ageing and Adult Health were analyzed. Self-reported time spent sedentary per day was the outcome. High SB was defined as ≥8 hours of SB per day. The correlates (sociodemographic and health-related) of high SB were estimated by multivariable logistic regression analyses.

resultsThe overall prevalence (95%CI) of high SB was 8.3% (7.1-9.7%). In the overall sample, the most important sociodemographic correlates of high SB were unemployment and urban residence. Physical inactivity, morbid obesity (BMI≥30.0 kg/m2), higher number of chronic conditions, poor self-reported health, higher disability levels, and worse health status in terms of mobility, pain/discomfort, affect, sleep/energy and cognition were associated with high SB. Several between-country differences were found.

conclusionThe current data provides important guidance for future interventions across LMICs to assist sedentary people to reduce their SB levels.

Indexed as

Sedentary BehaviorAdolescentAdultAgedChinaChronic DiseaseCross-Sectional StudiesDeveloping CountriesFemaleGhanaHealth BehaviorHealth StatusHealth SurveysHumansIndiaLogistic Models

Identifiers

PMID30096192
PMCPMC6086470

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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.