Measures Of Sedentary Behaviour Research Articles

Objective Measurement of Habitual Sedentary Behavior in Pre-School Children: Comparison of Activpal With Actigraph Monitors

The Actigraph is well established for measurement of both physical activity and sedentary behavior in children. The activPAL is being used increasingly in children, though with no published evidence on its use in free-living children to date. The present study compared the two monitors in preschool children. Children (n 23) wore both monitors simultaneously during waking hours for 5.6d and 10h/d. Daily mean percentage of time sedentary (nontranslocation of the trunk) was 74.6 (SD 6.8) for the Actigraph and 78.9 (SD 4.3) for activPAL. Daily mean percentage of time physically active (light intensity physical activity plus MVPA) was 25.4 (SD 6.8) for the Actigraph and 21.1 (SD 4.3) for the activPAL. Bland-Altman tests and paired t tests suggested small but statistically significant differences between the two monitors. Actigraph and activPAL estimates of sedentary behavior and physical activity in young children are similar at a group level.

Physical activity, sedentary behavior, and childhood obesity: A review of cross-sectional studies

This systematic review examined the associations of physical activity (PA) and sedentary behavior to childhood overweight and obesity in cross-sectional studies from the last 10 years. Cross-sectional approaches are cost-effective methods for identifying relationships that can then be followed by longitudinal studies to establish temporality and create targeted interventions. The 17 selected studies contained a variety of measures of PA and sedentary behavior. PA was related negatively to child weight status in some studies; however, it was not associated in others. In general, sedentary behaviors were positively associated with weight status. However, gender differences appeared in some studies for each variable. Limitations of cross-sectional approaches were discussed, as was the need for more accurate measures of PA, sedentary behavior, and body composition.

Controlled and Free-Living Evaluation of Objective Measures of Sedentary and Active Behaviors

Emerging interest in the health impacts of sedentary behaviors has driven the exploration of objective instrumentation capable of capturing these behaviors. The purpose was to compare (under laboratory conditions) outputs from ActiGraph (AG), Intelligent Device for Energy Expenditure and Physical Activity (IDEEA), and activPAL Professional (AP) against direct observation (DO) in sedentary, standing, and active behaviors; and assess convergent validity of instrument outputs under free-living conditions. Participants (13 males/16 females; 28.9 ± 6.2 years) wore instruments concurrently during laboratory and free-living studies. AG cutpoints of ≤50, <100, and ≤259 counts/minute were used to determine time in sedentary behaviors. Laboratory data were evaluated using mean percent error. Free-living data were analyzed using dependent t tests and RM ANOVA. AP precisely measured all identified DO behaviors under laboratory conditions; IDEEA precisely identified sitting and standing. For the free-living study, there was no difference in sedentary time detected by AP and IDEEA but a significant difference was observed in standing time. No difference was apparent between AP and AG259 in sit/lie/stand or ambulatory activity time. In a laboratory setting, the utility of all instruments to classify activities into behavioral categories was confirmed. This may enhance research on sedentary behaviors and health-related outcomes.

A systematic review of the validity and reliability of sedentary behaviour measures used with children and adolescents

The aim of this review was to evaluate the reliability and validity of methods used to assess the multiple components of sedentary behaviour (i.e. screen time, sitting, not moving and existing at low energy expenditure) in children and adolescents. Twenty-six studies met our inclusion criteria and were reviewed. Thirteen studies reported the reliability of self- and proxy-report measures of sedentary behaviour and seven of these were found to have acceptable test-retest reliability. Evidence for the criterion validity of self- and proxy-report measures was examined in three studies with mixed results. Seven studies examined the reliability and/or validity of direct observation and the findings were generally positive. Five studies demonstrated the utility of accelerometers to accurately classify sedentary behaviour. Self-report measures provide reliable estimates of screen time, yet their validity remains largely untested. While accelerometers can accurately classify participants' behaviour as sedentary, they do not provide information about type of sedentary behaviour or context. Studies utilizing measures of sedentary behaviour need to more adequately report on the validity and reliability of the measures used. We recommend the use of objective measures of sedentary behaviour such as accelerometers, in conjunction with subjective measures (e.g. self-report), to assess type and context of behaviour.

Volume, patterns, and types of sedentary behavior and cardio-metabolic health in children and adolescents: a cross-sectional study

BackgroundCardio-metabolic risk factors are becoming more prevalent in children and adolescents. A lack of moderate-to-vigorous intensity physical activity (MVPA) is an established determinant of cardio-metabolic risk factors in children and adolescents. Less is known about the relationship between sedentary behavior and cardio-metabolic health. Therefore, the objective was to examine the independent associations between volume, patterns, and types of sedentary behavior with cardio-metabolic risk factors among children and adolescents.MethodsThe results are based on 2527 children and adolescents (6-19 years old) from the 2003/04 and 2005/06 National Health and Nutrition Examination Surveys (NHANES). A cardio-metabolic risk score (CRS) was calculated based on age- and sex-adjusted waist circumference, systolic blood pressure, non-high-density lipoprotein cholesterol, and C-reactive protein values. Volume and patterns of sedentary behavior and moderate-to-vigorous physical activity (MVPA) were measured objectively using accelerometers. Types of sedentary behavior were measured by questionnaire. A series of logistic regression models were used to examine associations.ResultsVolume and patterns of sedentary behavior were not predictors of high CRS after adjusting for MVPA and other confounders (P > 0.1). For types of sedentary behavior, high TV use, but not high computer use, was a predictor of high CRS after adjustment for MVPA and other confounders. Children and adolescents who watched ≥4 hours per day of TV were 2.53 (95% confidence interval: 1.45-4.42) times more likely to have high CRS than those who watched <1 hour per day. MVPA predicted high CRS after adjusting for all sedentary behavior measures and other confounders. After adjustment for waist circumference, MVPA also predicted high non-obesity CRS; however, the same relationship was not seen with TV use.ConclusionNo association was observed between overall volume and patterns of sedentary behavior with cardio-metabolic risk factors in this large sample of children and adolescents. Conversely, high TV use and low MVPA were independently associated with cardio-metabolic risk factors. However, the association between high TV use and clustered cardio-metabolic risk factors appears to be mediated or confounded by obesity. Thus, TV and MVPA appear to be two separate behaviors that need to be targeted with different interventions and policies.

Descriptive Study Of Accelerometer-derived Measures Of Sedentary Behavior In Middle-aged Women

PURPOSE: To characterize accelerometer-derived indicators of sedentary behavior collected over 5 consecutive weeks in middle-aged women representing pre- to post-menopause. METHODS: Data were obtained from the Evaluation of PA Measures in Middle-Aged Women (PAW) Study and included 62 women (93.9% of total sample) with 5 consecutive weeks of valid (i.e., ≥ 4 of 7 days with ≥ 10 hours of wear time/day) accelerometer (ActiGraph GT1M) data. Data were collected using 60 s epochs and indicators of sedentary behavior included: a) sedentary time (minutes/day), b) number of breaks in sedentary time/day, and c) number of breaks in sedentary time/day adjusted for sedentary time. Sedentary time (min/d) was quantified as the sum of activity counts between 0-100 and sedentary breaks were defined as an interruption in which a period of sedentary time was immediately followed by a minute or more above 100 counts. Repeated measures ANOVA using PROC MIXED (SAS/STAT software, v. 9.2) were used to describe day-to-day variation in sedentary time measures over 5 weeks of data collection. RESULTS: Participants were 52.7±5.4 years, 85.5% non-Hispanic white, 62.9% post-menopausal, with a BMI of 26.5±4.7 kg/m2. When compared to weekdays, mean sedentary minutes/day and number of breaks in sedentary time/ day were significantly lower on Saturday when compared to weekdays (all p<.05). Similar differences were noted when Sunday was compared to weekdays (all p<.0001). When weekend days were compared, the average number of breaks in sedentary time/ day were significantly higher on Saturday (p=.002). After adjusting the number of breaks in sedentary time per day by sedentary time (hr/d), differences between week- and weekend- day were no longer statistically significant. CONCLUSIONS: These data suggest that average sedentary time is higher on week vs. weekend days, which provided more opportunities to accumulate transitions from sedentary to active behavior. Day-to-day variation attenuated when breaks were adjusted for sedentary time. These data suggest that accelerometer-derived estimates of patterns of sedentary behavior are more stable after adjustment for sedentary time and have important implications for researchers interested in a) quantifying sedentary behavior and b) establishing associations with health outcomes.

Study protocol of physical activity and sedentary behaviour measurement among schoolchildren by accelerometry - Cross-sectional survey as part of the ENERGY-project

BackgroundPhysical activity and sedentary behaviour among children should be measured accurately in order to investigate their relationship with health. Accelerometry provides objective and accurate measurement of body movement, which can be converted to meaningful behavioural outcomes. The aim of this study was to evaluate the best evidence for the decisions on data collection and data processing with accelerometers among children resulting in a standardized protocol for use in the participating countries.Methods/DesignThis cross-sectional accelerometer study was conducted as part of the European ENERGY-project that aimed to produce an obesity prevention intervention among schoolchildren. Five countries, namely Belgium, Greece, Hungary, Switzerland and the Netherlands participated in the accelerometer study. We used three different Actigraph models-Actitrainers (triaxial), GT3Xs and GT1Ms. Children wore the device for six consecutive days including two weekend days. We selected an epoch length of 15 seconds. Accelerometers were placed at children's waist at the right side of the body in an elastic belt.In total, 1082 children participated in the study (mean age = 11.7 ± 0.75 y, 51% girls). Non-wearing time was calculated as periods of more than 20 minutes of consecutive zero counts. The minimum daily wearing time was set to 10 hours for weekdays and 8 hours for weekend days. The inclusion criterion for further analysis was having at least three valid weekdays and one valid weekend day. We selected a cut-point (count per minute (cpm)) of <100 cpm for sedentary behaviour, <3000 cpm for light, <5200 cpm for moderate, and >5200 cpm for vigorous physical activity. We also created time filters for school-time during data cleaning in order to explore school-time physical activity and sedentary behaviour patterns in particular.DiscussionThis paper describes the decisions for data collection and processing. Use of standardized protocols would ease future use of accelerometry and the comparability of results between studies.

What do we know about physical activity in infants and toddlers: A review of the literature and future research directions

Summary Objectives To search the literature for studies evaluating physical activity levels and sedentary behaviours in infants and toddlers, thus in children under the age of three. News Only two studies could be located, evaluating physical activity levels in this young age group and only four studies could be identified looking into sedentary behaviours in infants and toddlers. The limited evidence shows that TV viewing is already common and that the time spent in moderate to vigorous physical activity is limited in infants and toddlers. Prospects and projects To gain a comprehensive understanding of physical activity and sedentary behaviour during the toddler and infant years, more research is needed. Due to the short intermittent bursts of activities of young children, only direct observation or objective measures, like accelerometers, should be used to define activity levels in infants and toddlers. However, studies on the validity and feasibility of accelerometers in toddlers and infants are lacking. Conclusion More research is needed to improve understanding of basic aspects and valid measurement of physical activity and sedentary behaviours in infants and toddlers. Efforts to promote physical activity and to minimize sedentary behaviour (e.g., media use) in infants and toddlers are advocated.

Objective and Subjective Measures of Sedentary Behavior and Physical Activity

To examine the convergent validity of the ActiGraph and activPAL accelerometers with the Bouchard Activity Record (BAR) in adults. Sedentary behavior and walking were evaluated in all instruments; standing and moderate-to-vigorous physical activity (MVPA) was evaluated only in those that detected such variables. Thirty-two participants wore the accelerometers and completed the BAR concurrently for 1 d. Descriptive statistics and delta values were reported for all instruments. Summary time spent in sedentary behavior and walking was compared between all instruments using repeated-measures ANOVA. Dependent t-tests were used to analyze summary time in 1) standing between activPAL and BAR and 2) MVPA between ActiGraph and BAR. Bland-Altman plots were interpreted for systematic bias. On a detailed level, concurrent time interval data were compared using mean percent agreement and κ statistics. There was a significant difference found in summary time spent in sedentary behavior apparent between ActiGraph and activPAL as well as between ActiGraph and BAR. There was also a significant difference detected in time spent in walking, apparent between ActiGraph and activPAL, and between ActiGraph and BAR. In the time interval analysis, mean percent agreement ranged from 54.0% (for walking detected by ActiGraph and activPAL) to 86.7% (for MVPA by ActiGraph and BAR). κ values ranged from 0.25 (for walking by ActiGraph and activPAL) to 0.70 (for sedentary behavior between activPAL and BAR). Differences were also found in standing and MVPA. The activPAL and BAR showed convergence on both summary and concurrent time interval levels in both sedentary behavior and walking. The comparative discordance between activPAL and BAR with ActiGraph was likely a function of different approaches used to distinguish sedentary behavior from walking.

Reducing Sedentary Behavior

There is growing interest in the role of sedentary behavior as a risk factor for poor health, independent of physical activity (PA). To guide the spectrum of descriptive, analytic, and intervention studies on sedentary behavior, the authors advocate a behavioral epidemiology framework. This 5-phase framework is useful because it outlines a series of sequential stages important for developing, evaluating, and diffusing interventions to reduce sedentary behavior and improve population health. Studies of sedentary behavior and health outcomes (phase I) have found consistent evidence that excessive use of screen-based media is linked to overweight and obesity in children, and there is some evidence among adults that overall sedentary time is associated with risk factors for cardiometabolic disease, some cancers, and mortality. Biological mechanisms to explain possible relationships have started to emerge but are mostly based on animal models. Obtaining valid and reliable measurements of sedentary behavior (phase II) remains a research priority because self-reports are prone to recall bias, and it appears that sedentary habits do not appear to be well represented by measures of individual behaviors such as TV viewing. Studies have identified few modifiable correlates of sedentary behavior (phase III), although research appears to be limited to studies of TV viewing or to scenarios in which sedentary behavior is defined as an absence of PA. Rigorous intervention research (phase IV) has focused almost exclusively on reducing self-reported TV viewing among children and adolescents, and there is consistent evidence that these interventions are efficacious. There appear to be no interventions focused exclusively on reducing sedentary behavior of adults. Translation studies (phase V) are absent because the underlying evidence is still emerging. Future research should focus on examining causal associations between sedentary behavior and health, developing objective measures of domain-specific sitting time, and identifying modifiable correlates of sedentary behavior that can be used as leverage points for behavioral interventions.

Validity of self-reported leisure-time sedentary behavior in adolescents.

BackgroundTo evaluate the concordance between leisure-time sedentary behavior in adolescents assessed by an activity-based questionnaire and accelerometry.A convenience sample of 128 girls and 73 boys, 11-15 years of age (12.6 ± 1.1 years) from six states across the United States examined as part of the feasibility studies for the Trial of Activity in Adolescent Girls (TAAG). Three days of self-reported time spent watching TV/videos, using computers, playing video/computer games, and talking on the phone was assessed using a modified version of the Self-Administered Physical Activity Checklist (SAPAC). Criterion measure of sedentary behavior was via accelerometry over three days using a cut point of < 50 counts · 30 sec-1 epoch. Comparisons between sedentary behavior by the two instruments were made.ResultsAdolescents generally underestimated minutes of sedentary behavior compared to accelerometry-measured minutes. The overall correlation between minutes of sedentary behavior by self-report and accelerometry was weak (Spearman r = 0.14; 95% CI 0.05, 0.23). Adjustment of sedentary minutes of behavior for total minutes assessed using either percentages or the residuals method tended to increase correlations slightly. However, regression analyses showed no significant association between self-reported sedentary behavior and minutes of sedentary behavior captured via accelerometry.DiscussionThese findings suggest that the modified 3-day Self-Administered Physical Activity Checklist is not a reliable method for assessing sedentary behavior. It is recommended that until validation studies for self-report instruments of sedentary behavior demonstrate validity, objective measures should be used.

Comparison of physical activity and sedentary behaviours between young haemophilia A patients and healthy adolescents

In recent studies, adolescent haemophilia A patients and healthy adolescents have been encouraged to participate in physical activity (PA) based on its many established health benefits. However, none of the studies to date has used objective measures of PA and sedentary behaviour. The aims of the current study included: (i) to determine the amount and intensity of habitual PA among haemophilia A and healthy adolescents, and in haemophilia A patients with and without bleeding episodes in the previous year, and (ii) to identify the type and determine the time spent in sedentary activities in which both groups participate to obtain a broadened view of their daily activities. A total of 41 adolescent haemophiliacs and 25 healthy adolescents, between the ages of 8 and 18 years, participated in this cross-sectional study. A triaxial accelerometer was used to measure PA and the Adolescent Sedentary Activity Questionnaire to assess sedentary behaviours among members of both groups. Adolescent haemophilia A patients showed a higher daily mean time engaged in light, moderate and moderate-to-vigorous PAs relative to their healthy counterparts (P < 0.001). Patients who had experienced bleeding episodes during the previous year also spent more time participating in vigorous PAs than healthy adolescents (P = 0.002). With regard to sedentary behaviours, healthy adolescents spent more time listening to music than haemophilia A adolescents (P = 0.003), whereas haemophilia A adolescents spent more time watching TV (P < 0.001) and playing videogames (P = 0.003) than healthy counterparts. Findings suggest that increased participation in moderate intensity PAs and reduced sedentary behaviours should be recommended among adolescents with haemophilia A.

Physical Activity, Television Viewing Time, and Retinal Vascular Caliber

to examine the associations of physical activity and television (TV) viewing time with retinal vascular caliber in Australian adults. a total of 2024 adults aged 25 yr or older without known diabetes in the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab, 1999-2000), a population-based cross-sectional study, were evaluated. Retinal vascular calibers (both arteriolar and venular calibers) were measured from digital retinal photographs using a computer-assisted method and were summarized into central retinal artery and vein equivalents. Self-reported physical activity time and TV viewing time were obtained using interviewer-administered questionnaires. for physical activity, no statistically significant multivariate relationships emerged for men or for women. After adjusting for confounders (age, sex, education, cigarette smoking, diet quality, waist circumference, systolic blood pressure, plasma glucose levels, serum fibrinogen, serum triglyceride, and physical activity time), men who watched TV for at least 2 h·d had a venular caliber that was 4.71 microm (95% confidence interval = 1.37-8.04 microm, P = 0.006) wider compared with those watching <2 h·d of TV. No significant association with venular caliber was noted in women. these findings provide the first evidence of an association between TV viewing time (a common, leisure time sedentary behavior) and retinal microcirculation. Further research is needed to examine these associations in different populations and by using more comprehensive physical activity and sedentary behavior measures.

Validation of Accelerometer Wear and Nonwear Time Classification Algorithm

the use of movement monitors (accelerometers) for measuring physical activity (PA) in intervention and population-based studies is becoming a standard methodology for the objective measurement of sedentary and active behaviors and for the validation of subjective PA self-reports. A vital step in PA measurement is the classification of daily time into accelerometer wear and nonwear intervals using its recordings (counts) and an accelerometer-specific algorithm. the purpose of this study was to validate and improve a commonly used algorithm for classifying accelerometer wear and nonwear time intervals using objective movement data obtained in the whole-room indirect calorimeter. we conducted a validation study of a wear or nonwear automatic algorithm using data obtained from 49 adults and 76 youth wearing accelerometers during a strictly monitored 24-h stay in a room calorimeter. The accelerometer wear and nonwear time classified by the algorithm was compared with actual wearing time. Potential improvements to the algorithm were examined using the minimum classification error as an optimization target. the recommended elements in the new algorithm are as follows: 1) zero-count threshold during a nonwear time interval, 2) 90-min time window for consecutive zero or nonzero counts, and 3) allowance of 2-min interval of nonzero counts with the upstream or downstream 30-min consecutive zero-count window for detection of artifactual movements. Compared with the true wearing status, improvements to the algorithm decreased nonwear time misclassification during the waking and the 24-h periods (all P values < 0.001). the accelerometer wear or nonwear time algorithm improvements may lead to more accurate estimation of time spent in sedentary and active behaviors.

Weight Status in US Youth: The Role of Activity, Diet, and Sedentary Behaviors

To assess associations of physical activity, diet, and sedentary behaviors with overweight and obesity. Analyses of the NHANES 2003-06 were conducted among 2368 US adolescents, ages 12-19. Self-reported diet and sedentary behavior measures were used; physical activity was assessed using accelerometers. Television/video viewing (OR=1.84; CI=1.24, 2.69), physical activity (OR=0.75; CI=0.59, 0.95), and fiber intake (OR=0.96; CI=0.92, 0.99) were associated with obesity whereas television/video viewing was a risk factor for overweight (OR=1.57; CI=1.1, 2.63). Findings using accelerometer-measured physical activity are consistent with results from other studies using self-reported measurements. No interactions with ethnicity and gender were found.

Measuring physical activity and sedentary behaviour at work: A review

To identify methods used to assess physical activity and sedentary behaviour at the workplace and review the validity and reliability of these measures. Databases were searched for relevant published articles including MEDLINE, SPORT Discus, ProQuest and Google Scholar. Keywords used were physical-activity, workplace, sedentary-behaviour, measurement and questionnaire. Studies included were original, written in English, published between 1990 and 2009, and focused on validated physical activity and sedentary behaviour measures at work. Eleven papers were identified in which three used criterion standards, three objective measures, and five subjective measures. The most common method of data collection was through self-report, surveys or questionnaires. Physical activity measured with motion sensors, ranged from 4,422 to 10,334 steps/day (pedometers) and sedentary time ranged from 1.8 to 6 hours/day (h/d) (accelerometers). Self-report measures provided information relevant to the perception of physical activity at work (∼ 0.5 h/d), sitting time (> 3 h/d) and calculated energy expenditure (< 800 kcal/d). Physical activity levels at work were low while sedentary behaviour was high. This was largely a function of occupation (white-collar vs. blue-collar). None of the studies assessed validity or reliability of measures used however, instruments as assessed by others showed moderate to strong validity and reliability values.

Objective measurement of habitual sedentary behaviour and physical activity in pre-school children: Comparison of activPAL with Actigraph monitors

Objective measurement of habitual sedentary behaviour and physical activity in pre-school children: Comparison of activPAL with Actigraph monitors

Systematic review of sedentary behaviour and health indicators in school-aged children and youth

Accumulating evidence suggests that, independent of physical activity levels, sedentary behaviours are associated with increased risk of cardio-metabolic disease, all-cause mortality, and a variety of physiological and psychological problems. Therefore, the purpose of this systematic review is to determine the relationship between sedentary behaviour and health indicators in school-aged children and youth aged 5-17 years. Online databases (MEDLINE, EMBASE and PsycINFO), personal libraries and government documents were searched for relevant studies examining time spent engaging in sedentary behaviours and six specific health indicators (body composition, fitness, metabolic syndrome and cardiovascular disease, self-esteem, pro-social behaviour and academic achievement). 232 studies including 983,840 participants met inclusion criteria and were included in the review. Television (TV) watching was the most common measure of sedentary behaviour and body composition was the most common outcome measure. Qualitative analysis of all studies revealed a dose-response relation between increased sedentary behaviour and unfavourable health outcomes. Watching TV for more than 2 hours per day was associated with unfavourable body composition, decreased fitness, lowered scores for self-esteem and pro-social behaviour and decreased academic achievement. Meta-analysis was completed for randomized controlled studies that aimed to reduce sedentary time and reported change in body mass index (BMI) as their primary outcome. In this regard, a meta-analysis revealed an overall significant effect of -0.81 (95% CI of -1.44 to -0.17, p = 0.01) indicating an overall decrease in mean BMI associated with the interventions. There is a large body of evidence from all study designs which suggests that decreasing any type of sedentary time is associated with lower health risk in youth aged 5-17 years. In particular, the evidence suggests that daily TV viewing in excess of 2 hours is associated with reduced physical and psychosocial health, and that lowering sedentary time leads to reductions in BMI.

Migrant networks and pathways to child obesity in Mexico

The purpose of this paper is twofold: 1) to assess the link between migrant networks and becoming overweight or obese and 2) to explore the pathways by which migrant networks may contribute to the increasing overweight and obese population of children in Mexico. Using two waves of the Mexican Family Life Survey (MxFLS), we find that children and adolescents (ages 3 to 15) living in households with migrant networks are at an increased risk of becoming overweight or obese over the period of observation, relative to their peers with no migrant networks. Sedentary behavior and household-level measures of economic wellbeing explain some of the association between networks and changes in weight status, but the role of extended networks remains significant. Community-level characteristics related to migration do not account for any of the observed relationship between household-level networks and becoming overweight or obese.

Reliability and Validity of the Sedentary Behavior Questionnaire (SBQ) for Adults

Sedentary behavior is related to obesity, but measures of sedentary behaviors are lacking for adults. The purpose of this study was to examine the reliability and validity of the Sedentary Behavior Questionnaire (SBQ) among overweight adults. Participants were 49 adults for the 2 week test-retest reliability study (67% female, 53% white, mean age = 20) and 401 overweight women (mean age = 41, 61% white) and 441 overweight men (mean age = 44, 81% white) for the validity study. The SBQ consisted of reports of time spent in 9 sedentary behaviors. Outcomes for validity included accelerometer measured inactivity, sitting time (International Physical Activity Questionnaire), and BMI. Intraclass correlation coefficients (ICCs) assessed reliability and partial correlations assessed validity. ICCs were acceptable for all items and the total scale (range = .51-.93). For men, there were significant relationships of SBQ items with IPAQ sitting time and BMI. For women, there were relationships between the SBQ and accelerometer inactivity minutes, IPAQ sitting time, and BMI. The SBQ has acceptable measurement properties for use among overweight adults. Specific measures of sedentary behavior should be included in studies and population surveillance.