Evidence map›Paper›PMID 26501231›Full record

ArticleMedicine and science in sports and exercise2016

Physical Activity, Television Viewing Time, and 12-Year Changes in Waist Circumference.

A I Shibata, Koichiro Oka, Takemi Sugiyama, J O Salmon, David W Dunstan, Neville Owen

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medicine and science in sports and exercise, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Effects of Recreational Physical Activity on Abdominal Obesity in Obese South Korean Adults.International journal of environmental research and public health · 2022
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  19. Relationship Between Sitting Time, Physical Activity, and Metabolic Syndrome Among Adults Depending on Body Mass Index (BMI).Medical science monitor : international medical journal of experimental and clinical research · 2018
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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 6 institutions in 3 countries.

A I Shibata1Physical Activity and Behavioural Epidemiology Laboratories, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, AUSTRALIA; 2Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, JAPAN; 3Faculty of Sport Sciences, Waseda University, Saitama, JAPAN; 4School of Design, Swinburne University of Technology, Melbourne, Victoria, AUSTRALIA; 5School of Population Health, University of South Australia, Adelaide, AUSTRALIA; 6Centre for Physical Activity and Nutrition Research, Deakin University, Melbourne, Victoria, AUSTRALIA; 7School of Sports Science, Exercise and Health, the University of Western Australia, Perth, AUSTRALIA; 8School of Population Health, the University of Queensland, Brisbane, QLD, AUSTRALIA; 9School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Victoria, AUSTRALIA; 10School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, AUSTRALIA; 11School of Population and Global Health, Melbourne University, Melbourne, Victoria, AUSTRALIA; and 12Department of Medicine, Monash University, Melbourne, Victoria, AUSTRALIA.
Koichiro Oka
Takemi Sugiyama
J O Salmon
David W Dunstan
Neville Owen
Deakin University · AUSwinburne University of Technology · AUUniversity of Queensland · AUUniversity of South Australia · AUUniversity of Tsukuba · JPVictoria University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBoth moderate-to-vigorous physical activity (MVPA) and sedentary behavior can be associated with adult adiposity. Much of the relevant evidence is from cross-sectional studies or from prospective studies with relevant exposure measures at a single time point before weight gain or incident obesity. This study examined whether changes in MVPA and television (TV) viewing time are associated with subsequent changes in waist circumference, using data from three separate observation points in a large population-based prospective study of Australian adults.

methodsData were obtained from the Australian Diabetes, Obesity, and Lifestyle study collected in 1999-2000 (baseline), 2004-2005 (wave 2), and 2011-2012 (wave 3). The study sample consisted of adults age 25 to 74 yr at baseline who also attended site measurement at three time points (n = 3261). Multilevel linear regression analysis examined associations of initial 5-yr changes in MVPA and TV viewing time (from baseline to wave 2) with 12-yr change in waist circumference (from baseline to wave 3), adjusting for well-known confounders.

resultsAs categorical predictors, increases in MVPA significantly attenuated increases in waist circumference (P for trend < 0.001). TV viewing time change was not significantly associated with changes in waist circumference (P for trend = 0.06). Combined categories of MVPA and TV viewing time changes were predictive of waist circumference increases; compared with those who increased MVPA and reduced TV viewing time, those who reduced MVPA and increased TV viewing time had a 2-cm greater increase in waist circumference (P = 0.001).

conclusionDecreasing MVPA emerged as a significant predictor of increases in waist circumference. Increasing TV viewing time was also influential, but its impact was much weaker than MVPA.

Indexed as

ExerciseSedentary BehaviorTelevisionTime FactorsWaist CircumferenceAdultAgedFemaleFollow-Up StudiesHumansLinear ModelsMaleMiddle AgedProspective Studies

Identifiers

PMID26501231
PMCPMC5638424
OpenAlexW2218480122

What OpenQuestion holds

Textmetadata
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.