Sources of variance in daily physical activity levels as measured by an accelerometer

Matthews, Charles E.; Ainsworth, Barbara E.; Thompson, Raymond W.; Bassett, David R.

doi:10.1097/00005768-200208000-00021

Cited by 540 publications

(480 citation statements)

References 16 publications

Supporting

Mentioning

445

Contrasting

Unclassified

Order By: Relevance

“…Objective methods measure physiological outcomes, like metabolic cost, heart rate and body temperature, 20,24 or biomechanical effects, like acceleration and displacement, associated with physical activity. 20,[24][25][26] They generally provide a reliable assessment of physical activity; 27 however, because of the need for expensive tools, they have limited applicability in large studies.…”

Section: How To Measure Physical Activitymentioning

confidence: 99%

Advances in physical activity monitoring and lifestyle interventions in obesity: a review

Bonomi

Westerterp

2011

Int J Obes

View full text Add to dashboard Cite

Obesity represents a strong risk factor for developing chronic diseases. Strategies for disease prevention often promote lifestyle changes encouraging participation in physical activity. However, determining what amount of physical activity is necessary for achieving specific health benefits has been hampered by the lack of accurate instruments for monitoring physical activity and the related physiological outcomes. This review aims at presenting recent advances in activity-monitoring technology and their application to support interventions for health promotion. Activity monitors have evolved from step counters and measuring devices of physical activity duration and intensity to more advanced systems providing quantitative and qualitative information on the individuals' activity behavior. Correspondingly, methods to predict activity-related energy expenditure using bodily acceleration and subjects characteristics have advanced from linear regression to innovative algorithms capable of determining physical activity types and the related metabolic costs. These novel techniques can monitor modes of sedentary behavior as well as the engagement in specific activity types that helps to evaluate the effectiveness of lifestyle interventions. In conclusion, advances in activity monitoring have the potential to support the design of response-dependent physical activity recommendations that are needed to generate effective and personalized lifestyle interventions for health promotion.

show abstract

Section: How To Measure Physical Activitymentioning

confidence: 99%

Advances in physical activity monitoring and lifestyle interventions in obesity: a review

Bonomi

Westerterp

2011

Int J Obes

View full text Add to dashboard Cite

show abstract

“…The Actigraph also has been found to be effective at detecting bouts of activity, including both continuous and intermittent bouts [33]. Participants, regardless of treatment arm, wore monitors for 3 days at each time-point, including 1 weekend day, since at least 3-4 days of monitoring is needed to achieve 80% reliability in the variance of activity by participant [39]. Participants reported minutes of activity in the moderate, hard, and very hard range.…”

Section: 42mentioning

confidence: 99%

Examination of print and telephone channels for physical activity promotion: Rationale, design, and baseline data from Project STRIDE

Marcus

Napolitano

King

et al. 2007

Contemporary Clinical Trials

View full text Add to dashboard Cite

Background-Project STRIDE is a 4-year randomized controlled trial comparing two computerbased expert system guided intervention delivery channels (phone vs. print) for physical activity adoption and short-term maintenance among previously sedentary adults.Methods-Sedentary adults (n=239) were randomized to one of the following (1) telephonebased, individualized motivationally-tailored feedback; (2) print-based, individualized motivationally-tailored feedback; (3) contact-control delayed treatment group (received intervention after 12 months as control). This paper: (1) outlines the study design, rationale, and participant sample; and (2) describes relationships between baseline variables to better understand their influence on the efficacy of the intervention.Results-Participants averaged 19.8±25.0 min of physical activity/week that was at least of moderate intensity, with no group differences. The average estimated VO 2 at 85% of maximum heart rate was 25.6 ml/kg/min. Body fat was 34.1% for women and 23.2% for men and the BMI of the sample averaged 28.5 kg/m 2 .Conclusions-Project STRIDE examines non face-to-face approaches for promoting physical activity behavior. It has unique features including a direct comparison of an expert system guided intervention delivered via phone or print. Future analyses will examine the cost-effectiveness of the interventions and this will likely yield important information for policy-makers.

show abstract

“…Data sampling was usually performed over 3 days. Measurement should be done over a period of at least 1 week, including the weekend, during which subjects tend to be less active, to obtain reliable measurements of physical activity 19) . It should thus be noted that, since the present data were obtained over 3 days during which the subjects were relatively active, the data might not directly reflect the overall physical activity and the actual activity might have been lower.…”

Section: Discussionmentioning

confidence: 99%

Relationship between Physical Activity Level and Hip Joint Pain in Adult Women with Chiari Pelvic Osteotomy

et al. 2012

View full text Add to dashboard Cite

Abstract.[Purpose] The purpose of this study was to establish the criteria for postoperative physical activity levels that do not overload the hip joint. We examined the relationship between physical activity levels and hip joint pain in hip osteoarthritis patients.[Subjects] Subjects were 52 females who had osteoarthritis of the hip joint and underwent Chiari pelvic osteotomy.[Methods] Levels of physical activity were evaluated using an activity recorder to measure number of steps as well as duration of activity according to exercise intensity. By using the Harris Hip Score, patients with 40 or more points were classified as the no-pain group, and those with 30 or less points as the pain group.[Results] The number of steps was significantly greater in the pain group than in the no-pain group 10562 ± 2731 steps/day versus 7411 ± 1746 steps/day. The threshold value for the number of steps based on the receiver operating characteristic (ROC) curve was 8981 steps/day, sensitivity was 0.75, and specificity was 0.79. [Conclusion] On the basis of our results, we suggest that walking more than 9000 steps/day is an excessive level of postoperative physical activity that aggravates hip joint pain.

show abstract

Sources of variance in daily physical activity levels as measured by an accelerometer

Abstract: These findings provide insight for understanding the behavioral variability in the activity patterns of adults and suggest that reliable measures of activity behaviors require at least 7 d of monitoring.

Cited by 540 publications

References 16 publications

Advances in physical activity monitoring and lifestyle interventions in obesity: a review

Advances in physical activity monitoring and lifestyle interventions in obesity: a review

Examination of print and telephone channels for physical activity promotion: Rationale, design, and baseline data from Project STRIDE

Relationship between Physical Activity Level and Hip Joint Pain in Adult Women with Chiari Pelvic Osteotomy

Contact Info

Product

Resources

About