Evidence map›Paper›PMID 35305675›Full record

ArticleThe international journal of behavioral nutrition and physical activity2022

Television viewing time and all-cause mortality: interactions with BMI, physical activity, smoking, and dietary factors.

Christopher T V Swain, Julie K Bassett, Allison M Hodge, David W Dunstan, Neville Owen, Yi Yang, Harindra Jayasekara, James R Hébert, Nitin Shivappa, Robert J MacInnis and 3 more

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Causal relationship between leisure sedentary behaviors and low back pain risk: a Mendelian randomization study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023
    Article
  4. 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

13 authors.

Christopher T V SwainCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia. Chris.swain@cancervic.org.au.
Julie K BassettCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Allison M HodgeCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
David W DunstanPhysical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Neville OwenCentre for Urban Transitions, Swinburne University, Melbourne, VIC, Australia.
Yi YangCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Harindra JayasekaraCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
James R HébertCancer Prevention and Control Program &, Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA.
Nitin ShivappaCancer Prevention and Control Program &, Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA.
Robert J MacInnisCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Dallas R EnglishCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Brigid M LynchCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigher levels of time spent sitting (sedentary behavior) contribute to adverse health outcomes, including earlier death. This effect may be modified by other lifestyle factors. We examined the association of television viewing (TV), a common leisure-time sedentary behavior, with all-cause mortality, and whether this is modified by body mass index (BMI), physical activity, smoking, alcohol intake, soft drink consumption, or diet-associated inflammation.

methodsUsing data from participants in the Melbourne Collaborative Cohort Study, flexible parametric survival models assessed the time-dependent association of self-reported TV time (three categories: < 2 h/day, 2-3 h/day, > 3 h/day) with all-cause mortality. Interaction terms were fitted to test whether there was effect modification of TV time by the other risk factors.

resultsFrom 19,570 participants, 4,417 deaths were reported over a median follow up of 14.5 years. More TV time was associated with earlier mortality; however, this relationship diminished with increasing age. The hazard ratio (HR) and 95% confidence interval (95% CI) for > 3 h/day compared with < 2 h/day of TV time was 1.34 (1.16, 1.55) at 70 years, 1.14 (1.04, 1.23) at 80 years, and 0.95 (0.84, 1.06) at 90 years. The TV time/mortality relationship was more evident in participants who were physically inactive (compared with active; p for interaction < 0.01) or had a higher dietary inflammatory index score (compared with a lower score; p for interaction = 0.03). No interactions were detected between TV time and BMI, smoking, alcohol intake, nor soft-drink consumption (all p for interaction > 0.16).

conclusionsThe relationship between TV time and all-cause mortality may change with age. It may also be more pronounced in those who are otherwise inactive or who have a pro-inflammatory diet.

Indexed as

ExerciseTelevisionBody Mass IndexCohort StudiesHumansSmokingProspective studySedentary behaviorSurvival analysis

Identifiers

PMID35305675
PMCPMC8934515

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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.