Assessing Physical Activity among Children with Accelerometers Using Different Time Sampling Intervals and Placements

Nilsson, Andreas; Ekelund, Ulf; Yngve, Agneta; Sjöstróm, Michael

doi:10.1123/pes.14.1.87

Cited by 235 publications

(229 citation statements)

References 16 publications

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“…A plausible explanation for the fact that our study showed a much higher correlation between body fat and activity could be that we measured TBF directly and did not use BMI as a surrogate. Another explanation could be the use of a short epoch time in our study that should result in more accurate estimate of 8 vigorous activity (Nilsson et al, 2002), in combination with the intensity threshold selection.…”

Section: Discussionmentioning

confidence: 99%

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Body fat related to daily physical activity and insulin concentrations in non‐diabetic children

Dencker

Thorsson

Karlsson

et al. 2008

Clin Physio Funct Imaging

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1 SummaryThis study explored the associations between body fat versus daily physical activity and insulin concentrations in non-diabetic young children in a Cross-sectional study of 172 children (93 boys and 79 girls) aged 8 to 11 years. Blood samples were analysed for serum insulin and daily physical activity was measured by accelerometers. Time spent performing vigorous activity was estimated from accelerometer data by using established cut off points. Dual-energy x-ray absorptiometry (DXA) was used to quantify abdominal fat mass (AFM) and total body fat (TBF), also calculated as percentage of body weight (BF%). Body fat distribution was calculated as AFM/TBF. Body fat distribution was independently linked to both insulin concentrations and physical activity. In contrast, TBF, AFM and BF% were linked to physical activity only and not to insulin concentrations. In conclusion in this population of non-diabetic children, body fat distribution was independently associated with increased concentrations of insulin and deceased amount of vigorous activity per day. Also, AFM, TBF, and BF% were independently related to minutes of vigorous activity per day.2

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Section: Discussionmentioning

confidence: 99%

“…The MTI accelerometers therefore underestimate vigorous activity, when using longer epoch time, e.g. one-minute epochs (Nilsson et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

Body fat related to daily physical activity and insulin concentrations in non‐diabetic children

Dencker

Thorsson

Karlsson

et al. 2008

Clin Physio Funct Imaging

View full text Add to dashboard Cite

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“…However, empirical evidence suggests that the main practical consequence of using 1 min epochs in children is a misclassification of some vigorous intensity activity as moderate intensity activity. 38 Therefore, we combined moderate and vigorous intensity physical activity in the present study, but in practice this probably made little difference because the total time spent in the combined category was so small.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Habitual physical activity and sedentary behaviour in a clinical sample of obese children

et al. 2006

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Objective: To objectively measure habitual physical activity and sedentary behaviour in a clinical sample of obese children and to compare with age-and sex-matched non-obese controls. Design: Pairwise comparison of obese children matched for age and gender with non-obese controls. Subjects: A total of 116 obese children (body mass index (BMI)X98th centile) and 53 non-obese control children (BMIo85th centile). Controls were matched with 53 of the obese children (mean age 8.6, s.d. 2.0 years; 25 M and 28 F). Measurement: Habitual physical activity and sedentary behaviour were measured over a 7-day period using CSA accelerometers. Total physical activity (mean accelerometry count per minute (c.p.m.)), percentage of monitored time in sedentary behaviour, light and moderate to vigorous intensity physical activity (MVPA) were compared. Results: Obese children (n ¼ 116) spent on average 80.4% of their monitored time in sedentary behaviour and 2.5% of their monitored time in MVPA. Total activity (mean c.p.m.) was significantly higher in the non-obese group (n ¼ 53) than the obese group (n ¼ 53), 729 vs 648 c.p.m.; 95% confidence interval (CI) 7, 155. Time spent in sedentary behaviour averaged 80.9% (s.d. 6.6) in the obese group and 79.3% (s.d. 6.2) in the non-obese group, with no significant between-group difference (95% CI À3.9, 0.6). Light intensity activity was similar in the obese and non-obese groups (15.9 vs 17.3%; 95% CI À0.3, 3.0). Participation in MVPA was significantly higher in the non-obese vs obese group (3.9 vs 2.4%; 95% CI 0.6, 2.0). Conclusion: This study supports the hypothesis that a clinical sample of obese children is less physically active than non-obese children, although the difference in total activity and MVPA between the groups was small.

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“…The age-specific count thresholds corresponding to the aforementioned intensity levels were derived from the MET prediction equation developed by Freedson and co-workers (Freedson, Pober, & Janz, 2005;Trost, Pate, Sallis, Freedson, Taylor, Dowda et al, 2002). To accommodate the 30-sec epoch length, count thresholds were divided by 2 (Nilsson, Ekelund, Yngve, & Sjostrom, 2002).…”

Section: Measures: Physical Activitymentioning

confidence: 99%

Why are early maturing girls less active? Links between pubertal development, psychological well-being, and physical activity among girls at ages 11 and 13

Davison

Werder

Trost

et al. 2007

Social Science & Medicine

140

109

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Previous research has shown that early maturing girls at age 11 have lower subsequent physical activity at age 13 in comparison to later maturing girls. Possible reasons for this association have not been assessed. This study examines girls' psychological response to puberty and their enjoyment of physical activity as intermediary factors linking pubertal maturation and physical activity. Participants included 178 girls who were assessed at age 11, of whom 168 were reassessed at age 13. All participants were non-Hispanic white and resided in the U.S. Three measures of pubertal development were obtained at age 11 including Tanner breast stage, estradiol levels, and mothers' reports of girls' development on the Pubertal Development Scale (PDS). Measures of psychological well-being at ages 11 and 13 included depression, global self worth, perceived athletic competence, maturation fears, and body esteem. At age 13, girls' enjoyment of physical activity was assessed using the Physical Activity Enjoyment Scale and their daily minutes of moderate to vigorous physical activity (MVPA) was assessed using objective monitoring. Structural Equation Modeling was used to assess direct and indirect pathways between pubertal development at age 11 and MVPA at age 13. In addition to a direct effect of pubertal development on MVPA, indirect effects were found for depression, global self worth and maturity fears controlling for covariates. In each instance, more advanced pubertal development at age 11 was associated with lower psychological well-being at age 13, which predicted lower enjoyment of physical activity at age 13 and in turn lower MVPA. Results from this study suggest that programs designed to increase physical activity among adolescent girls should address the self-consciousness and discontent that girls' experience with their bodies during puberty, particularly if they mature earlier than their peers, and identify activities or settings that make differences in body shape less conspicuous.

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Assessing Physical Activity among Children with Accelerometers Using Different Time Sampling Intervals and Placements

Cited by 235 publications

References 16 publications

Body fat related to daily physical activity and insulin concentrations in non‐diabetic children

Body fat related to daily physical activity and insulin concentrations in non‐diabetic children

Habitual physical activity and sedentary behaviour in a clinical sample of obese children

Why are early maturing girls less active? Links between pubertal development, psychological well-being, and physical activity among girls at ages 11 and 13

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