Evidence map›Paper›PMID 29510707›Full record

ArticleBMC public health2018

A cross-sectional analysis of the associations between leisure-time sedentary behaviors and clustered cardiometabolic risk.

Antje Ullrich, Lisa Voigt, Sophie Baumann, Franziska Weymar, Ulrich John, Marcus Dörr, Sabina Ulbricht

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02990039 (A Tailored Feasibility Study to Increase Physical Activity and to Reduce Sedentary Time), which is not on this 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
1.0field-weighted citation impact, top 25% 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.

NCT02990039 nacompletednot on this map

A Tailored Feasibility Study to Increase Physical Activity and to Reduce Sedentary Time

TypeinterventionalSponsorUniversity Medicine GreifswaldRan2015 to 2016Enrolled176ConditionsCardiovascular Risk FactorArmsCounseling letter
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Sedentary Behavior Research in the Chinese Population: A Systematic Scoping Review.International journal of environmental research and public health · 2020
    Article
  5. Article
  6. Associations of context-specific sitting time with markers of cardiometabolic risk in Australian adults.The international journal of behavioral nutrition and physical activity · 2018
    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

7 authors at 2 institutions in 1 country.

Antje UllrichUniversity Medicine Greifswald, Institute of Social Medicine and Prevention, Walther-Rathenau-Str. 48, D-17475, Greifswald, Germany. antje.ullrich@uni-greifswald.de.
Lisa VoigtUniversity Medicine Greifswald, Institute of Social Medicine and Prevention, Walther-Rathenau-Str. 48, D-17475, Greifswald, Germany.
Sophie BaumannUniversity Medicine Greifswald, Institute of Social Medicine and Prevention, Walther-Rathenau-Str. 48, D-17475, Greifswald, Germany.
Franziska WeymarUniversity Medicine Greifswald, Institute of Social Medicine and Prevention, Walther-Rathenau-Str. 48, D-17475, Greifswald, Germany.
Ulrich JohnUniversity Medicine Greifswald, Institute of Social Medicine and Prevention, Walther-Rathenau-Str. 48, D-17475, Greifswald, Germany.
Marcus DörrGerman Centre for Cardiovascular Research (DZHK), partner site Greifswald, Fleischmannstr, 42-44, D-17475, Greifswald, Germany.
Sabina UlbrichtUniversity Medicine Greifswald, Institute of Social Medicine and Prevention, Walther-Rathenau-Str. 48, D-17475, Greifswald, Germany.
German Centre for Cardiovascular Research · DEUniversitätsmedizin Greifswald · DE

Funding

Federal Ministry of Education and Research as part of the German Centre for Cardiovascular Research, DZHK 81/Z540100152
6 · The paper itself

Abstract

backgroundThe aim of this study was to conduct a comprehensive investigation of the association between different types of leisure-time sedentary behavior (watching television, using a computer, reading and socializing) and clustered cardiometabolic risk in apparently healthy adults aged 40 to 65 years.

methodsOne hundred seventy-three participants from the general population (64% women; mean age = 54.4 years) consented to attend a cardiovascular examination program and to complete a questionnaire on leisure-time sedentary behaviors. Waist circumference, blood pressure, glucose, triglycerides, and high-density lipoprotein cholesterol of non-fasting blood samples were assessed, and a clustered cardiometabolic risk score [CMRS] was calculated. Data were collected between February and July 2015. Associations between leisure-time sedentary behaviors and CMRS were analyzed using linear and quantile regression, adjusted for socio-demographic variables and other types of leisure-time sedentary behavior (model 1) and additionally, adjusted for leisure-time physical activity and traveling in motor vehicles (model 2).

resultsLinear regression revealed that there was a positive association between watching television and CMRS (model 1: b = 0.27 [CI: 0.03; 0.52]; model 2: b = 0.30 [CI: 0.05; 0.56]). In addition, quantile regression analysis revealed that using a computer was negatively associated with the 50th (model 1: b = - 0.43 [CI: -0.79; - 0.07]) and the 75th percentiles (model 1: b = - 0.71 [CI: -1.27; - 0.14]) of CMRS. Reading and socializing were not associated with CMRS.

conclusionsWatching television was positively associated with a clustered cardiometabolic risk score, while time spent using a computer revealed inconsistent findings. Our results give reason to consider different types of behaviors in which individuals are sedentary and the associations between these behaviors and cardiometabolic risk, supporting the need for behavior-specific assessments as well as public health recommendations to maintain or enhance adults' health.

trial registrationClinical trial registration number: NCT02990039 , Retrospectively registered (December 12, 2016).

Indexed as

Leisure ActivitiesSedentary BehaviorAdultAgedCardiovascular DiseasesCluster AnalysisCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMiddle AgedRisk FactorsCardiometabolic riskLinear regressionMetabolic syndromeMultiple imputationQuantile regressionSedentary behavior

Identifiers

PMID29510707
PMCPMC5839009
OpenAlexW2797286694

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.