Literature DB >> 22634868

Sedentary time in relation to cardio-metabolic risk factors: differential associations for self-report vs accelerometry in working age adults.

Emmanuel Stamatakis1, Mark Hamer, Kate Tilling, Debbie A Lawlor.   

Abstract

BACKGROUND: Sedentary behaviour has been proposed to be detrimentally associated with cardio-metabolic risk independently of moderate to vigorous physical activity (MVPA). However, it is unclear how the choice of sedentary time (ST) indicator may influence such associations. The main objectives of this study were to examine the associations between ST and a set of cardio-metabolic risk factors [waist, body mass index (BMI), systolic and diastolic blood pressure, total and high-density lipoprotein cholesterol, glycated haemoglobin] and whether these associations differ depending upon whether ST is assessed by self-report or objectively by accelerometry.
METHODS: Multiple linear regression was used to examine the above objectives in a cross-sectional study of 5948 adults (2669 men) aged 16-65 years with self-reported measures of television time, other recreational sitting and occupational sitting or standing. In all, 1150 (521 men) participants had objective (accelerometry) data on ST as well.
RESULTS: Total self-reported ST showed multivariable-adjusted (including for MVPA) associations with BMI [(unstandardized beta coefficients corresponding to the mean difference per 10 min/day greater ST: 0.035 kg/m(2); 95% CI: 0.027-0.044), waist circumference (0.083 cm; 0.062-0.105), systolic (0.024 mmHg; 0.000-0.049) and diastolic blood pressure (0.023 mmHg; 0.006-0.040) and total cholesterol (0.004 mmol/l; 0.001-0.006)]. Similar associations were observed for TV time, whereas non-TV self-reported ST showed consistent associations with the two adiposity proxies (BMI/waist circumference) and total cholesterol. Accelerometry-assessed ST was only associated with total cholesterol (0.010 mmol/l; 0.001-0.018).
CONCLUSIONS: In this study, ST was associated consistently with cardio-metabolic risk only when it was measured by self-report.

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Year:  2012        PMID: 22634868     DOI: 10.1093/ije/dys077

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  64 in total

1.  Associations between self-reported and objectively measured physical activity, sedentary behavior and overweight/obesity in NHANES 2003-2006.

Authors:  M Wanner; A Richard; B Martin; D Faeh; S Rohrmann
Journal:  Int J Obes (Lond)       Date:  2016-09-28       Impact factor: 5.095

Review 2.  The association between time spent in sedentary behaviors and blood pressure: a systematic review and meta-analysis.

Authors:  Paul H Lee; Frances K Y Wong
Journal:  Sports Med       Date:  2015-06       Impact factor: 11.136

3.  Poor, Unsafe, and Overweight: The Role of Feeling Unsafe at School in Mediating the Association Among Poverty Exposure, Youth Screen Time, Physical Activity, and Weight Status.

Authors:  Carolyn Côté-Lussier; Caroline Fitzpatrick; Louise Séguin; Tracie A Barnett
Journal:  Am J Epidemiol       Date:  2015-04-28       Impact factor: 4.897

Review 4.  A guide to assessing physical activity using accelerometry in cancer patients.

Authors:  J M Broderick; J Ryan; D M O'Donnell; J Hussey
Journal:  Support Care Cancer       Date:  2014-01-04       Impact factor: 3.603

5.  Objectively-measured sedentary time and cardiometabolic health in adults with severe obesity.

Authors:  Wendy C King; Jia-Yuh Chen; Anita P Courcoulas; James E Mitchell; Bruce M Wolfe; Emma J Patterson; William B Inabnet; Gregory F Dakin; David R Flum; Brian Cook; Steven H Belle
Journal:  Prev Med       Date:  2015-12-24       Impact factor: 4.018

6.  Sedentary time, physical activity, and adiposity in a longitudinal cohort of nonobese young adults.

Authors:  Amanda E Staiano; Corby K Martin; Catherine M Champagne; Jennifer C Rood; Peter T Katzmarzyk
Journal:  Am J Clin Nutr       Date:  2018-11-01       Impact factor: 7.045

Review 7.  Using accelerometers to measure physical activity in large-scale epidemiological studies: issues and challenges.

Authors:  I-Min Lee; Eric J Shiroma
Journal:  Br J Sports Med       Date:  2013-12-02       Impact factor: 13.800

8.  Physical activity, sedentary behavior time and lipid levels in the Observation of Cardiovascular Risk Factors in Luxembourg study.

Authors:  Georgina E Crichton; Ala'a Alkerwi
Journal:  Lipids Health Dis       Date:  2015-08-11       Impact factor: 3.876

9.  The descriptive epidemiology of sitting among US adults, NHANES 2009/2010.

Authors:  Deirdre M Harrington; Tiago V Barreira; Amanda E Staiano; Peter T Katzmarzyk
Journal:  J Sci Med Sport       Date:  2013-08-08       Impact factor: 4.319

10.  Sitting time and cardiometabolic risk in US adults: associations by sex, race, socioeconomic status and activity level.

Authors:  A E Staiano; D M Harrington; T V Barreira; P T Katzmarzyk
Journal:  Br J Sports Med       Date:  2013-08-27       Impact factor: 13.800

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