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Measurement of adults' sedentary time in population-based studies.

ABSTRACT: Sedentary time (too much sitting) increasingly is being recognized as a distinct health risk behavior. This paper reviews the reliability and validity of self-reported and device-based sedentary time measures and provides recommendations for their use in population-based studies. The focus is on instruments that have been used in free-living, population-based research in adults. Data from the 2003-2006 National Health and Nutrition Examination Survey are utilized to compare the descriptive epidemiology of sedentary time that arises from the use of different sedentary time measures. A key recommendation from this review is that, wherever possible, population-based monitoring of sedentary time should incorporate both self-reported measures (to capture important domain- and behavior-specific sedentary time information) and device-based measures (to measure both total sedentary time and patterns of sedentary time accumulation).

SUBMITTER: Healy GN

PROVIDER: S-EPMC3179387 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature

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Measurement of adults' sedentary time in population-based studies.

Healy Genevieve N GN Clark Bronwyn K BK Winkler Elisabeth A H EA Gardiner Paul A PA Brown Wendy J WJ Matthews Charles E CE

American journal of preventive medicine 20110801 2

Sedentary time (too much sitting) increasingly is being recognized as a distinct health risk behavior. This paper reviews the reliability and validity of self-reported and device-based sedentary time measures and provides recommendations for their use in population-based studies. The focus is on instruments that have been used in free-living, population-based research in adults. Data from the 2003-2006 National Health and Nutrition Examination Survey are utilized to compare the descriptive epide ...[more]

PMID: 21767730

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Project description:Background:Measuring physical activity (PA) and sedentary time (ST) by self-report or device as well as assessing related health factors may alter those behaviors. Thus, in intervention trials assessments may bias intervention effects. The aim of our study was to examine whether leisure-time PA, transport-related PA, and overall ST measured via self-report vary after assessments and whether a brief tailored letter intervention has an additional effect. Methods:Among a sample of subjects with no history of myocardial infarction, stroke, or vascular intervention, a number of 175 individuals participated in a study comprising multiple repeated assessments. Of those, 153 were analyzed (mean age 54.5 years, standard deviation?=?6.2; 64% women). At baseline, participants attended a cardiovascular examination (standardized measurement of blood pressure and waist circumference, blood sample taking) and wore an accelerometer for seven days. At baseline and after 1, 6, and 12 months, participants completed the International Physical Activity Questionnaire. A random subsample received a tailored counseling letter intervention at month 1, 3, and 4. Changes in PA and ST from baseline to 12-month follow-up were analyzed using random-effects modelling. Results:From baseline to 1-month assessment, leisure-time PA did not change (Incidence rate ratio?=?1.13, p?=?.432), transport-related PA increased (Incidence rate ratio?=?1.45, p?=?.023), and overall ST tended to decrease (b?=?-?1.96, p?=?.060). Further, overall ST decreased from month 6 to month 12 (b?=?-?0.52, p?=?.037). Time trends of the intervention group did not differ significantly from those of the assessment-only group. Conclusions:Results suggest an effect of measurements on PA and ST. Data of random-effects modelling results revealed an increase of transport-related PA after baseline to 1-month assessment. Decreases in overall ST may result from repeated assessments. A brief tailored letter intervention seemed to have no additional effect. Thus, measurement effects should be considered when planning intervention studies and interpreting intervention effects. Trial registration:ClinicalTrials.gov NCT02990039. Registered 7 December 2016. Retrospectively registered.

Dataset Information

Measurement of adults' sedentary time in population-based studies.

Publications

Measurement of adults' sedentary time in population-based studies.

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