Accelerometer-Measured Versus Self-reported Physical Activity in College Students: Implications for Research and Practice

Downs, Andrew; Hoomissen, Jacqueline Van; Lafrenz, Andrew; Julka, Deana L.

doi:10.1080/07448481.2013.877018

Cited by 68 publications

(63 citation statements)

References 29 publications

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“…The participants in this research averaged a high amount (1.1 hr) of MVPA every day. This is similar to findings by Raynor and Jankowiak () though three times as much as Downs et al (). Neither of these groups explored SB.…”

Section: Discussionsupporting

confidence: 92%

“…Three sources helped guide estimation of the appropriate sample size for the study: 1) previous similar research; 2) general statistical principles; and 3) the nQuery (Statistical Solutions, Ltd., Los Angeles, CA) power analysis program. Sample sizes in similar research ranged from 77 (Downs, Van Hoomissen, Lafrenz, & Julka, ) to 168 (Raynor & Jankowiak, ). General consensus on principles of statistics suggest multiple regression analyses should have 10–15 participants per independent variable (Harrell, ).…”

Section: Methodsmentioning

confidence: 99%

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Sedentary behavior and physical activity of young adult university students

Peterson

Sirard

Kulbok

et al. 2018

Research in Nursing & Health

103

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Movement and non-movement behaviors include sleep, sedentary behavior (SB) and physical activity (PA). While young adults are generally perceived as healthy, the level and relationship of SB and PA in college-age students has not been greatly explored. The purpose of this study was to objectively measure the levels of SB and PA in 18-20 year-old university students, record their self-reported extracurricular activities, and explore the relationship of all these with body mass index (BMI) and waist circumference (WC). Male (n = 48) and female (n = 46) students participated in this cross-sectional study. Hierarchical multiple regression analyses were used to examine time spent in SB, moderate to vigorous physical activity (MVPA), number of self-reported sedentary extracurricular activities, and their relation to the dependent variables of BMI and WC. In correlation analyses, SB (p < .001) and MVPA (p = .017) both were negatively associated with BMI, and "other" race or ethnicity (African American, Hispanic, mixed; p = .013) and number of self-reported sedentary extracurricular activities (p = .006) were positively associated with BMI. In the WC regression model, SB (p = .018) was negatively associated and number of self-reported sedentary extracurricular activities (p = .006) was positively associated with WC. University students may be both highly active and highly sedentary. Future researchers should consider targeting interventions to reduce SB in addition to improving PA.

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Section: Discussionsupporting

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Sedentary behavior and physical activity of young adult university students

Peterson

Sirard

Kulbok

et al. 2018

Research in Nursing & Health

103

View full text Add to dashboard Cite

show abstract

“…However, these studies relied on subjective self-report measures to assess physical activity (e.g., Peeters et al, 2015), which have been shown to be less reliable than objective measurement (Downs, Van Hoomissen, Lafrenz, & Julka, 2014). In addition, most previous studies were cross-sectional, and as a result, could not examine the temporal order of self-efficacy and physical activity.…”

Section: Self-efficacy and Physical Activity In People With Oamentioning

confidence: 99%

Morning self-efficacy predicts physical activity throughout the day in knee osteoarthritis.

Zhaoyang¹,

Martire²,

Sliwinski³

2017

Health Psychology

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Objective The purpose of this study was to examine the within-day and cross-day prospective effects of knee osteoarthritis (OA) patients’ self-efficacy to engage in physical activity despite the pain on their subsequent physical activity assessed objectively in their natural environment. Methods Over 22 days, 135 older adults with knee OA reported their morning self-efficacy for being physically active throughout the day using a handheld computer and wore an accelerometer to measure moderate activity and steps. Results Morning self-efficacy had a significant positive effect on steps and moderate-intensity activity throughout that day, above and beyond the effects of demographic background and other psychosocial factors as well as spouses’ support and social control. The lagged effect of morning self-efficacy on the next day’s physical activity and the reciprocal lagged effect of physical activity on the next day’s self-efficacy were not significant. Positive between-person effects of self-efficacy on physical activity were found. Conclusions Future research should aim to better understand the mechanisms underlying fluctuations in patients’ daily self-efficacy, and target patients’ daily self-efficacy as a modifiable psychological mechanism for promoting physical activity.

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“…Estimating the appropriate sample size was based on number of participants used in similar research 55,56 and following general consensus on principles of statistics which indicate multiple regression analyses should have [10][11][12][13][14][15] participants per independent variable. 57 Estimates using the program nQuery recommended a minimum of 59-65 subjects to achieve 80% power to determine meaningful associations between our factors of interest.…”

Section: Power Analysismentioning

confidence: 99%

Inclinometer Validation and Analysis of Sedentary Behavior in Older Adolescent University Students

Peterson

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iii Abstract BackgroundFew objective measurements of sedentary behavior exist. The relationship between sedentary time and body size, as measured by body mass index and waist circumference, has not been well explored in older adolescent university students. PurposeThe dissertation had two aims. First, validate the inclinometry function of the ActiGraph GT3X+ to measure sedentary behavior in 18 to 20 year-old adolescents. Second, compare sedentary time to body mass index and waist circumference using week-long accelerometry data from older adolescent university students. MethodsThis descriptive study used the ActiGraph GT3X+ device for objective measurement of sedentary behavior. The study used quantitative methods and a convenience sample of 18 to 20 year-old older adolescent university students from a major mid-Atlantic university.Aim 1 was done in a laboratory-controlled environment, testing lying down, sitting, reading a book while seated, playing a video game, watching a video, seated conversation, using a stationary bike, standing, and walking. Aim 2 used week long accelerometry data in free-living conditions. Percent agreement to direct observation determined the accuracy of the inclinometer and multiple regression determined the strength of correlation between sedentary behavior time and body size. Results & DiscussionFor Aim 1, the inclinometer demonstrated poor validity, but the evidence did suggest that using the vector magnitude-a combination of the X, Y, and Z axes-and increasing the iv accepted threshold of 100 counts per minute to 150 counts per minute may be superior for measuring sedentary and active behaviors. In Aim 2, the sample had high sedentary time and high physical activity time, which is a deviation from the normal population atlarge but is consistent with some research in similar age groups. Participants that identified more sedentary extracurricular activities also tended to have higher body sizes.Dissertation results have implications for nurses to address sedentary behavior with patients and health care workers. Nurses should educate and integrate research on sedentary behavior to improve patient outcomes. More research is needed to improve objective measurement of sedentary behavior in older adolescents. Additional analyses could be done using the existing data for future research. Although perhaps not reflected in the dissertation directly, I am very grateful for the faculty I have had the honor of working with as a teaching assistant, research assistant, and instructor. I would also like to thank Dean Fontaine, Dr. Linda Bullock, Dr.Christine Kennedy, and OASS for their leadership, enthusiasm, and mental, emotional, (and financial!) support. I couldn't have done it without you. Thanks to the several cohorts of doctoral students of which I have been a part. This has been a group journey.Most importantly, only my family knows exactly all the commitments, late nights, and hard work that was put into this work. Thanks to my wife, Rebecca, and my two children born while I was in gradua...

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Accelerometer-Measured Versus Self-reported Physical Activity in College Students: Implications for Research and Practice

Abstract: Estimation of college students' level of PA may require interpretation of data from different measurement methods, as self-report and accelerometry generate different estimations of PA in college students who may be even less active than previously believed.

Cited by 68 publications

References 29 publications

Sedentary behavior and physical activity of young adult university students

Sedentary behavior and physical activity of young adult university students

Morning self-efficacy predicts physical activity throughout the day in knee osteoarthritis.

Inclinometer Validation and Analysis of Sedentary Behavior in Older Adolescent University Students

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