Evidence map›Paper›PMID 30458790›Full record

ArticleThe international journal of behavioral nutrition and physical activity2018

Associations of context-specific sitting time with markers of cardiometabolic risk in Australian adults.

Paddy C Dempsey, Nyssa T Hadgraft, Elisabeth A H Winkler, Bronwyn K Clark, Matthew P Buman, Paul A Gardiner, Neville Owen, Brigid M Lynch, David W Dunstan

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 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.

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 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

9 authors.

Paddy C DempseyPhysical Activity, Metabolic & Vascular Physiology and Behavioural Epidemiology Laboratories, Baker Heart and Diabetes Institute, Level 4, 99 Commercial Rd, Melbourne, VIC, 3004, Australia. paddy.dempsey@baker.edu.au.ORCID 0000-0002-1714-6087
Nyssa T HadgraftPhysical Activity, Metabolic & Vascular Physiology and Behavioural Epidemiology Laboratories, Baker Heart and Diabetes Institute, Level 4, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.
Elisabeth A H WinklerSchool of Public Health/Centre for Health Services Research, The University of Queensland, Brisbane, QLD, Australia.
Bronwyn K ClarkSchool of Public Health/Centre for Health Services Research, The University of Queensland, Brisbane, QLD, Australia.
Matthew P BumanCollege of Health Solutions, Arizona State University, 550 N 3rd Street, Phoenix, AZ, 85004, USA.
Paul A GardinerSchool of Public Health/Centre for Health Services Research, The University of Queensland, Brisbane, QLD, Australia.
Neville OwenPhysical Activity, Metabolic & Vascular Physiology and Behavioural Epidemiology Laboratories, Baker Heart and Diabetes Institute, Level 4, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.
Brigid M LynchPhysical Activity, Metabolic & Vascular Physiology and Behavioural Epidemiology Laboratories, Baker Heart and Diabetes Institute, Level 4, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.
David W DunstanPhysical Activity, Metabolic & Vascular Physiology and Behavioural Epidemiology Laboratories, Baker Heart and Diabetes Institute, Level 4, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.

Funding

Medical Research Council MC_UU_12015/3
6 · The paper itself

Abstract

backgroundHigh volumes of sitting time are associated with an elevated risk of type 2 diabetes and cardiovascular disease, and with adverse cardiometabolic risk profiles. However, previous studies have predominately evaluated only total sitting or television (TV) viewing time, limiting inferences about the specific cardiometabolic health impacts of sitting accumulated in different contexts. We examined associations of sitting time in four contexts with cardiometabolic risk biomarkers in Australian adults.

methodsParticipants (n = 3429; mean ± SD age 58 ± 10 years) were adults without clinically diagnosed diabetes or cardiovascular disease from the 2011-2012 Australian Diabetes, Obesity and Lifestyle (AusDiab) study. Multiple linear regressions examined associations of self-reported context-specific sitting time (occupational, transportation, TV-viewing and leisure-time computer use) with a clustered cardiometabolic risk score (CMR) and with individual cardiometabolic risk biomarkers (waist circumference, BMI, resting blood pressure, triglycerides, HDL- and LDL-cholesterol, and fasting and 2-h post-load plasma glucose).

resultsHigher CMR was significantly associated with greater TV-viewing and computer sitting time (b [95%CI] = 0.07 [0.04, 0.09] and 0.06 [0.03, 0.09]), and tended to be associated with higher occupational and transport sitting time (0.01 [- 0.01, 0.03] and 0.03 [- 0.00, 0.06]), after adjustment for potential confounders. Furthermore, keeping total sitting time constant, accruing sitting via TV-viewing and computer use was associated with significantly higher CMR (0.05 [0.02, 0.08] and 0.04 [0.01, 0.06]), accruing sitting in an occupational context was associated with significantly lower CMR (- 0.03 [- 0.05, - 0.01]), while no significant association was seen for transport sitting (0.00 [- 0.03, 0.04]). Results varied somewhat between the respective biomarkers; however, higher sitting time in each domain tended to be associated detrimentally with individual biomarkers except for fasting glucose (non-significant associations) and systolic blood pressure (a beneficial association was observed). Overall, associations were stronger for TV-viewing and computer use, and weaker for occupational sitting.

conclusionsHigher context-specific sitting times tended to be detrimentally associated, albeit modestly, with CMR and several cardiometabolic risk biomarkers. There was some evidence suggesting that the context in which people sit is relevant above and beyond total sitting time. Methodological issues notwithstanding, these findings may assist in identifying priorities for sitting-reduction initiatives, in order to achieve optimal cardiometabolic health benefits.

Indexed as

Sedentary BehaviorAdiposityAgedAustraliaBiomarkersBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesCholesterolFemaleHumansLeisure ActivitiesLife StyleLongitudinal StudiesMaleBiomarkersBlood GlucoseCholesterolTriglyceridesAdiposityCardiometabolicCardiovascular diseaseComputerDiabetesOccupational sittingSedentary behaviourSittingTelevision viewingTransport sitting

Identifiers

PMID30458790
PMCPMC6245709

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Registered trials

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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.