Reported Physical Activity and Sedentary Behavior: Why Do You Ask?

Troiano, Richard P.; Gabriel, Kelley K. Pettee; Welk, Gregory J.; Owen, Neville; Sternfeld, Barbara

doi:10.1123/jpah.9.s1.s68

Cited by 140 publications

(151 citation statements)

References 21 publications

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“…14,15 Compared with device-derived measures, self-report indices can deliver underestimates of actual time spent sitting in some domains. Objective devices for assessment of sedentary time are in a rapid state of technical evolution and cannot be regarded as a "gold standard."…”

Section: Sedentary Behavior Measurementmentioning

confidence: 99%

“…22 Also, a combination of simple forms of self-report (eg, work start time, lunch break time, and finishing time) or the use of travel diaries to identify time spent sitting in vehicles can be combined with device-based measurement to provide accurate context-anchored assessments. 13,15 device-Based Assessments Accelerometers have been the most commonly used devices to objectively monitor sedentary time. Accelerometers measure acceleration, defined as change in velocity.…”

Section: Self-report Assessmentsmentioning

confidence: 99%

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Sedentary Behavior and Cardiovascular Morbidity and Mortality: A Science Advisory From the American Heart Association

et al. 2016

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Epidemiological evidence is accumulating that indicates greater time spent in sedentary behavior is associated with all-cause and cardiovascular morbidity and mortality in adults such that some countries have disseminated broad guidelines that recommend minimizing sedentary behaviors. Research examining the possible deleterious consequences of excess sedentary behavior is rapidly evolving, with the epidemiologybased literature ahead of potential biological mechanisms that might explain the observed associations. This American Heart Association science advisory reviews the current evidence on sedentary behavior in terms of assessment methods, population prevalence, determinants, associations with cardiovascular disease incidence and mortality, potential underlying mechanisms, and interventions. Recommendations for future research on this emerging cardiovascular health topic are included. Further evidence is required to better inform public health interventions and future quantitative guidelines on sedentary behavior and cardiovascular health outcomes. E vidence is accumulating that sedentary behavior might be associated with increased cardiovascular-specific and overall mortality. Insufficient physical activity predicts premature cardiovascular disease (CVD) mortality and disease burden, such that the United States and other developed countries have issued physical activity guidelines, but these guidelines are specific to physical activity and do not include sedentary behavior.1 Sedentary behavior guidelines to reduce the risk of chronic diseases for adults have been developed in some countries, but they are broadly stated and nonquantitative. For example, Australia and the United Kingdom have public health guidelines stating that adults should minimize the amount of time spent being sedentary (sitting) for extended periods.2,3 Such broad public health guidelines for adults are likely appropriate, because evidence is still accumulating regarding the strength of the association, the evidence for causation (including understanding mechanisms), and the support for dose-response relationships that demonstrate sedentary behavior to be an independent risk factor for adverse health outcomes. Although at one time, excess sedentary behavior was considered to be at one end of the continuum of physical activity such that a person with no moderateto-vigorous physical activity (MVPA) was considered "sedentary," consensus is building that sedentary behavior is distinct from lack of MVPA. Even the word "sedentary," derived from the Latin "sedentarius" and defined as "sitting, remaining in one place," connotes a different set of behaviors than non-MVPA. 4 Thus, researchers studying MVPA, physical inactivity, and sedentary behavior are now viewing these behaviors as separate entities with their own unique determinants and health consequences. CLiniCAL STATEMEnTS And GUidELinESThis American Heart Association science advisory summarizes the existing evidence about sedentary behavior as a potential risk factor for CVD and...

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Section: Sedentary Behavior Measurementmentioning

confidence: 99%

Section: Self-report Assessmentsmentioning

confidence: 99%

Sedentary Behavior and Cardiovascular Morbidity and Mortality: A Science Advisory From the American Heart Association

et al. 2016

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“…pedometers, accelerometers). Nevertheless, these devices have their own set of limitations and sources of measurement error, and there are specific times and circumstances in which self-report measure of PA remains the most appropriate approach, particularly in the context of surveillance and public health [32]. For example, in our study, the formulation of the PA category for the assessment corresponds exactly to the health education message (simple and understandable) that GPs should use to communicate reccomandation about PA healthy levels to the general population and that he/she should assess.…”

Section: Discussionmentioning

confidence: 99%

Cardiovascular Risk and Physical Activity: Simulated Analysis in General Practice Patients Based on a Risk Score System

Scatigna¹,

Felice²

2016

Primary Health Care

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“…While objective measures continue to evolve in precision and accuracy, they are limited as "stand-alone" measures when contextual information pertaining to habitual behavior is desired (4). It is generally agreed that, for at least the foreseeable future, there will continue to be a need for logistically feasible, cost-effective tools with known validity that can assess a broad range of habitual behaviors in large populations (4,5).…”

mentioning

confidence: 99%

“…It is generally agreed that, for at least the foreseeable future, there will continue to be a need for logistically feasible, cost-effective tools with known validity that can assess a broad range of habitual behaviors in large populations (4,5).…”

mentioning

confidence: 99%

The Sedentary Time and Activity Reporting Questionnaire (STAR-Q): Reliability and Validity Against Doubly Labeled Water and 7-Day Activity Diaries

Csizmadi¹,

Neilson²,

Kopciuk³

et al. 2014

American Journal of Epidemiology

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We determined measurement properties of the Sedentary Time and Activity Reporting Questionnaire (STAR-Q), which was designed to estimate past-month activity energy expenditure (AEE). STAR-Q validity and reliability were assessed in 102 adults in Alberta, Canada (2009, who completed 14-day doubly labeled water (DLW) protocols, 7-day activity diaries on day 15, and the STAR-Q on day 14 and again at 3 and 6 months. Three-month reliability was substantial for total energy expenditure (TEE) and AEE (intraclass correlation coefficients of 0.84 and 0.73, respectively), while 6-month reliability was moderate. STAR-Q-derived TEE and AEE were moderately correlated with DLW estimates (Spearman's ρ s of 0.53 and 0.40, respectively; P < 0.001), and on average, the STAR-Q overestimated TEE and AEE (median differences were 367 kcal/day and 293 kcal/day, respectively). Body mass index-, age-, sex-, and season-adjusted concordance correlation coefficients (CCCs) were 0.24 (95% confidence interval (CI): 0.07, 0.36) and 0.21 (95% CI: 0.11, 0.32) for STAR-Q-derived versus DLW-derived TEE and AEE, respectively. Agreement between the diaries and STAR-Q (metabolic equivalent-hours/day) was strongest for occupational sedentary time (adjusted CCC = 0.76, 95% CI: 0.64, 0.85) and overall strenuous activity (adjusted CCC = 0.64, 95% CI: 0.49, 0.76). The STAR-Q demonstrated substantial validity for estimating occupational sedentary time and strenuous activity and fair validity for ranking individuals by AEE. motor activity; physical activity; reproducibility of results; sedentary lifestyle; questionnaires; validation studies Abbreviations: AEE, activity energy expenditure; CCC, concordance correlation coefficient; DLW, doubly labeled water; ICC, intraclass correlation coefficient; MET, metabolic equivalent of task; STAR-Q, Sedentary Time and Activity Reporting Questionnaire; TEE, total energy expenditure.As the need for comprehensive assessments of daily physical activity has grown, the limitations of existing methods have become apparent (1, 2). Many physical activity questionnaires have been developed and validated, but most are not well suited for the study of new behavioral parameters of interest, such as activity energy expenditure (AEE). In a review of physical activity questionnaires that were validated against doubly labeled water (DLW)-the gold standard for estimating total energy expenditure (TEE) in free-living individuals-we reported that overall, questionnaire performance in estimating AEE was poor when compared with DLW (3). However, none of the questionnaires were originally designed to estimate AEE.While objective measures continue to evolve in precision and accuracy, they are limited as "stand-alone" measures when contextual information pertaining to habitual behavior is desired (4). It is generally agreed that, for at least the foreseeable future, there will continue to be a need for logistically feasible, cost-effective tools with known validity that can assess a broad range of habitual behaviors in large populations (4, ...

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Reported Physical Activity and Sedentary Behavior: Why Do You Ask?

Cited by 140 publications

References 21 publications

Sedentary Behavior and Cardiovascular Morbidity and Mortality: A Science Advisory From the American Heart Association

Sedentary Behavior and Cardiovascular Morbidity and Mortality: A Science Advisory From the American Heart Association

Cardiovascular Risk and Physical Activity: Simulated Analysis in General Practice Patients Based on a Risk Score System

The Sedentary Time and Activity Reporting Questionnaire (STAR-Q): Reliability and Validity Against Doubly Labeled Water and 7-Day Activity Diaries

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