Evidence map›Paper›PMID 29589226›Full record

SynthesisEuropean journal of epidemiology2018

Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis.

Richard Patterson, Eoin McNamara, Marko Tainio, Thiago Hérick de Sá, Andrea D Smith, Stephen J Sharp, Phil Edwards, James Woodcock, Søren Brage, Katrien Wijndaele

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06592209 (Body Electric), which is not on this map. Cited by 671 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
671citing papers in PubMed, 17 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.

NCT06592209 nacompletednot on this mapstarted 2023, after this paper: background citation

Body Electric: a Pragmatic Trial Evaluating Movement Breaks As a Public Health Strategy to Mitigate the Harms of Prolonged Sedentary Behavior

TypeinterventionalSponsorColumbia UniversityRan2023 to 2023Enrolled20,217ConditionsSedentary BehaviorArmsSedentary Breaks
3 · Its place in the literature

Who cites it

671 citing papers in PubMed, 17 syntheses or guidelines pooled it.

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611 more citing papers are in PubMed but not listed here.

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

10 authors.

Richard PattersonPublic Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, W6 8RP, UK. r.patterson@imperial.ac.uk.ORCID http://orcid.org/0000-0002-8563-6053
Eoin McNamaraMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK.
Marko TainioMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK.
Thiago Hérick de SáCentre for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil.
Andrea D SmithResearch Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK.
Stephen J SharpMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK.
Phil EdwardsFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
James WoodcockMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK.
Søren BrageMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK.
Katrien WijndaeleMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK.

Funding

British Heart Foundation FS/12/58/29709Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/3Medical Research Council MR/K023187/1Medical Research Council MR/P024408/1Medical Research Council MR/P02663X/1Wellcome Trust
6 · The paper itself

Abstract

purposeTo estimate the strength and shape of the dose-response relationship between sedentary behaviour and all-cause, cardiovascular disease (CVD) and cancer mortality, and incident type 2 diabetes (T2D), adjusted for physical activity (PA). Data Sources: Pubmed, Web of Knowledge, Medline, Embase, Cochrane Library and Google Scholar (through September-2016); reference lists. Study Selection: Prospective studies reporting associations between total daily sedentary time or TV viewing time, and ≥ one outcome of interest. Data Extraction: Two independent reviewers extracted data, study quality was assessed; corresponding authors were approached where needed. Data Synthesis: Thirty-four studies (1,331,468 unique participants; good study quality) covering 8 exposure-outcome combinations were included. For total sedentary behaviour, the PA-adjusted relationship was non-linear for all-cause mortality (RR per 1 h/day: were 1.01 (1.00-1.01) ≤ 8 h/day; 1.04 (1.03-1.05) > 8 h/day of exposure), and for CVD mortality (1.01 (0.99-1.02) ≤ 6 h/day; 1.04 (1.03-1.04) > 6 h/day). The association was linear (1.01 (1.00-1.01)) with T2D and non-significant with cancer mortality. Stronger PA-adjusted associations were found for TV viewing (h/day); non-linear for all-cause mortality (1.03 (1.01-1.04) ≤ 3.5 h/day; 1.06 (1.05-1.08) > 3.5 h/day) and for CVD mortality (1.02 (0.99-1.04) ≤ 4 h/day; 1.08 (1.05-1.12) > 4 h/day). Associations with cancer mortality (1.03 (1.02-1.04)) and T2D were linear (1.09 (1.07-1.12)).

conclusionsIndependent of PA, total sitting and TV viewing time are associated with greater risk for several major chronic disease outcomes. For all-cause and CVD mortality, a threshold of 6-8 h/day of total sitting and 3-4 h/day of TV viewing was identified, above which the risk is increased.

Indexed as

ExerciseSedentary BehaviorCardiovascular DiseasesDiabetes Mellitus, Type 2FemaleHumansMaleNeoplasmsTelevisionTime FactorsDiabetesMeta-analysisMortalityPreventionPublic healthSedentary

Identifiers

PMID29589226
PMCPMC6133005

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Registered trials

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.