Comparison of Self-reported versus Accelerometer-Measured Physical Activity

Dyrstad, Sindre M.; Hansen, Bjørge Herman; Holme, Ingar; Anderssen, Sigmund Alfred

doi:10.1249/mss.0b013e3182a0595f

Cited by 598 publications

(554 citation statements)

References 32 publications

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“…The inconsistencies between the 2 studies are likely attributable to the use of self-reported versus objectively measured physical activity. Differences between selfreported and objectively measured PA, 34,35 as well as self-reported and objectively measured sedentary activities, 36 have been previously reported. Similarly, the proportion of engagement in MVPA for 60 minutes per day on at least 5 days a week was substantially higher in the NEXT full sample based on self-report (>34% at any wave) compared with objective measurement (<10% in the current study), indicating gross overestimation of PA that would be expected to introduce biased estimates of associations with covariates.…”

Section: Discussionmentioning

confidence: 65%

Changes in Moderate-to-Vigorous Physical Activity Among Older Adolescents

Haynie

Lipsky

et al. 2016

Pediatrics

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OBJECTIVES: Examined patterns and determinants of objectively measured moderate-tovigorous physical activity (MVPA) over 4 years in US emerging adults.METHODS: Waves 1 through 4 (W1 [10th grade] to W4 data of a national cohort starting in 2010 (N = 561; 16.19 ± 0.51 years) were used. MVPA was assessed annually from accelerometers; BMI calculated from measured height/weight; and surveys ascertained self-reported physical activity (PA) planning, peer PA , family support, W1 sociodemographics, W4 school status, W4 residence, and W4 employment. Latent growth modeling estimated trajectories in log-transformed duration (minutes/day) of MVPA and associations with covariates. RESULTS:Less than 9% of participants met the recommended 60+ minutes/day MVPA across W1 through W4. W1 MVPA was greater in males versus females (B = 0.46, P < .001) and Hispanic versus White (B = 0.34, P < .001) participants. Increased BMI change (W1 to W4 slope) was associated with decreased MVPA. MVPA was positively associated with PA planning (W1-W3: B = 0.10, B = 0.06, B = 0.08, Ps < .05), but not with peer PA or family support. Participants attending 4-year college versus not-attending school (B = 0.52, P < .001), and college students living on campus versus at home (B = 0.37, P < .001) were more likely to engage in MVPA at W4. Weekend MVPA remained relatively constant from W1 through W4.CONCLUSIONS: High-school students engaged in little MVPA and maintained this low level through the transition to adulthood. Emerging adults' MVPA engagement may vary according to social contexts. Those with high BMI may benefit most from interventions to promote MVPA.

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Section: Discussionmentioning

confidence: 65%

Changes in Moderate-to-Vigorous Physical Activity Among Older Adolescents

Haynie

Lipsky

et al. 2016

Pediatrics

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“…In addition to the PAI, sedentary time/day and moderate + heavy time/day were used as independent variables. Validity of these variables, by correlation of comparable physical activity questionnaires to accelerometer-determined physical activity measures, has only been fair (0.3-0.4), but it has been suggested that this correlation may be as high a validity as can be expected from a short physical activity questionnaire (10,11). PAI scores, sedentary time and moderate + heavy time were divided into sex-specific quintiles, from low (Q1) to highest (Q5), with Q1 as the referent for PAI and moderate + heavy time and Q5 as the referent for sedentary time.…”

Section: Physical Activity Indexmentioning

confidence: 99%

Physical Activity, Brain Volume, and Dementia Risk: The Framingham Study

Tan

Spartano

Beiser

et al. 2016

GERONA

135

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“…Therefore, responses could have been biased by social desirability or participants' tendency to report practicing PA more than they really do. Regarding this later issue, recent studies have shown that individuals indeed tend to indicate that they have engaged in more PA when asked to self-report than when their behavior is evaluated with an objective measure, such as an accelerometer (Dyrstad, Hansen, Holme, & Anderssen, 2014;Slootmaker, Schuit, Chinapaw, Seidell, & van Mechelen, 2009;Tucker, Welk, & Beyler, 2011). Future research should thus consider supplying self-reported measures of PA practice with objective tools, such as accelerometers.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Motivational profiles for physical activity among adults with type 2 diabetes and their relationships with physical activity behavior

Castonguay

Miquelon

2017

Health Psychology and Behavioral Medicine

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Using self-determination theory, the aim of this study was to examine motivational profiles toward physical activity among adults with type 2 diabetes and how these profiles predict physical activity. In total, 381 adults with type 2 diabetes (188 or 49.3% women, M age = 61.39, SD = 7.29) completed a questionnaire assessing their physical activity motivation and behavior. First, results of a multiple regression analysis showed that intrinsic and identified motives were positively associated with leisure-time physical activity over the past three months while results of a multivariate analysis of covariance revealed that higher levels of intrinsic and identified motives were associated with observing physical activity recommendations for type 2 diabetes (i.e. practicing 150 min of moderate to vigorous physical activity per week). Then, results of a cluster analysis distinguished four distinct motivational profiles: selfdetermined, controlled, moderate, and non-self-determined. Participants reporting the highest physical activity participation level and observing physical activity recommendations were more likely to present a self-determined profile. The present study highlights the benefits of using both a variable-centered and a motivational profile approach. They also highlight the importance of examining the type of motivation associated with physical activity practice among adults with type 2 diabetes since autonomous forms of motivation positively influence both the frequency of leisure-time physical activity and the observance of physical activity recommendations for type 2 diabetes. ARTICLE HISTORY

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Comparison of Self-reported versus Accelerometer-Measured Physical Activity

Cited by 598 publications

References 32 publications

Changes in Moderate-to-Vigorous Physical Activity Among Older Adolescents

Changes in Moderate-to-Vigorous Physical Activity Among Older Adolescents

Physical Activity, Brain Volume, and Dementia Risk: The Framingham Study

Motivational profiles for physical activity among adults with type 2 diabetes and their relationships with physical activity behavior

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