Measuring physical activity using accelerometry in 13–15-year-old adolescents: the importance of including non-wear activities

Meester, Femke De; Bourdeaudhuij, Ilse De; Deforche, Benedicte; Ottevaere, Charlene; Cardon, Greet

doi:10.1017/s1368980011001868

Cited by 27 publications

(24 citation statements)

References 54 publications

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“…Periods of 20 min of consecutive zeros or more were removed and defined as non-wear time [30, 31]. Non-wear time activity diaries were provided to register activities for which the accelerometer was removed and were used to replace the consecutive number of zeros by the corrected minutes MVPA [32]. MVPA was calculated using the cutpoints of Evenson (>2296 counts per minute was defined as MVPA), as these cutpoints were recommended in a comparative validity study [33, 34].…”

Section: Methodsmentioning

confidence: 99%

The moderating effect of psychosocial factors in the relation between neighborhood walkability and children’s physical activity

D’Haese

Gheysen

Bourdeaudhuij

et al. 2016

Int J Behav Nutr Phys Act

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BackgroundThe study aimed to investigate if psychosocial factors moderate the association between objective walkability and different domains of children’s physical activity (PA). A second aim of the study was to investigate the direct associations between psychosocial factors and children’s PA. Based on previous literature, it was hypothesized that walkability would be more strongly related to PA among children with negative psychosocial profiles.MethodsData were collected between December 2011 and May 2013 as part of the Belgian Environmental Physical Activity Study in children (BEPAS-child). In total, data from 494 children and one of their parents were included in the study. Children wore an accelerometer for 7 consecutive days and together with one of their parents, they completed the Flemish Physical Activity Questionnaire. Parents filled out a questionnaire concerning their child’s psychosocial factors toward PA (i.e. parental attitude toward their child’s PA, parental social norm toward their child’s PA, parental support, friend support, children’s self-efficacy, and perceived benefits and barriers toward sports and PA). Neighborhood walkability was calculated using geographical information systems (GIS). Multilevel cross-classified analyses were conducted.ResultsOf the 42 investigated interactions between neighborhood walkability and psychosocial factors in relation to PA among children, only 7 significant interactions were found of which 3 were only significant among children from low-income neighborhoods.Parental support and self-efficacy were positive correlates of children’s PA in high- and low-income neighborhoods independent of the level of walkability, but effect sizes were small.ConclusionsThe hypothesis that walkability would be more strongly related to PA among children with negative psychosocial profiles could not be confirmed and in general, psychosocial factors and objective walkability did not interact in relation to children’s PA. Focusing on parental support and self-efficacy towards PA can possibly cause small effects on children’s PA in both high- and low-walkable neighborhoods, as well as in high- and low-income neighborhoods.Electronic supplementary materialThe online version of this article (doi:10.1186/s12966-016-0452-0) contains supplementary material, which is available to authorized users.

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Section: Methodsmentioning

confidence: 99%

The moderating effect of psychosocial factors in the relation between neighborhood walkability and children’s physical activity

D’Haese

Gheysen

Bourdeaudhuij

et al. 2016

Int J Behav Nutr Phys Act

Self Cite

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“…Whenever applicable, the activity diaries were used to replace these consecutive number of zeros by the corrected number of minutes moderate PA (MPA) and vigorous PA (VPA) registered in the diaries [37]. To score the accelerometer-data and to obtain the mean number of minutes/day MVPA, the cut-points of Puyau (MVPA: ≥3200 activity counts/min) [38] were used.…”

Section: Methodsmentioning

confidence: 99%

Changes in physical activity during the transition from primary to secondary school in Belgian children: what is the role of the school environment?

et al. 2014

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BackgroundKey life periods have been associated with changes in physical activity (PA). This study investigated (1) how PA changes when primary school children transfer to secondary school, (2) if school environmental characteristics differ between primary and secondary schools and (3) if changes in school environmental characteristics can predict changes in PA in Belgian schoolchildren. Moderating effects of gender and the baseline level of PA were investigated for the first and third research question.MethodsIn total, 736 children (10–13 years) of the last year of primary school participated in the first phase of this longitudinal study. Two years later, 502 of these children (68.2%) agreed to participate in the second phase. Accelerometers, pedometers and the Flemish Physical Activity Questionnaire were used to measure PA. School environmental characteristics were reported by the school principals. Cross-classified regression models were conducted to analyze the data.Results S elf-reported active transport to school and accelerometer weekday moderate to vigorous PA (MVPA) increased after the transition to secondary school while self-reported extracurricular PA and total PA decreased. Pedometer weekday step counts decreased, but this decrease was only apparent among those who achieved the PA guidelines in primary school.Secondary schools scored higher on the school environmental characteristics: provision of sports and PA during lunch break, active schoolyards and playgrounds and health education policy but lower on sports and PA after-school than primary schools.Changes in the school environmental characteristics: active commuting to school, active schoolyards and playgrounds and health education policy resulted in changes in self-reported extracurricular PA, total PA , pedometer/accelerometer determined step counts and accelerometer determined MVPA. Moderating effects were found for baseline PA and gender.ConclusionPA changed after the transition to secondary school. In general, secondary schools seem more likely to foster strategies to promote PA during school hours than primary schools who seem more likely to foster strategies to promote PA after school. Changes in school environmental characteristics may contribute to changes in PA. Thus, if confirmed in future studies, efforts are needed to implement these components in schools as early as possible to positively affect the change in PA.

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“…Adolescents recorded on a pre-printed form when the accelerometer was removed, when they put it back on, and the kind of the activities they were involved in [43,44]. …”

Section: Methodsmentioning

confidence: 99%

Active living neighborhoods: is neighborhood walkability a key element for Belgian adolescents?

et al. 2012

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BackgroundIn adult research, neighborhood walkability has been acknowledged as an important construct among the built environmental correlates of physical activity. Research into this association has only recently been extended to adolescents and the current empirical evidence is not consistent. This study investigated whether neighborhood walkability and neighborhood socioeconomic status (SES) are associated with physical activity among Belgian adolescents and whether the association between neighborhood walkability and physical activity is moderated by neighborhood SES and gender.MethodsIn Ghent (Belgium), 32 neighborhoods were selected based on GIS-based walkability and SES derived from census data. In total, 637 adolescents (aged 13-15 year, 49.6% male) participated in the study. Physical activity was assessed using accelerometers and the Flemish Physical Activity Questionnaire. To analyze the associations between neighborhood walkability, neighborhood SES and individual physical activity, multivariate multi-level regression analyses were conducted.ResultsOnly in low-SES neighborhoods, neighborhood walkability was positively associated with accelerometer-based moderate to vigorous physical activity and the average activity level expressed in counts/minute. For active transport to and from school, cycling for transport during leisure time and sport during leisure time no association with neighborhood walkability nor, with neighborhood SES was found. For walking for transport during leisure time a negative association with neighborhood SES was found. Gender did not moderate the associations of neighborhood walkability and SES with adolescent physical activity.ConclusionsNeighborhood walkability was related to accelerometer-based physical activity only among adolescent boys and girls living in low-SES neighborhoods. The relation of built environment to adolescent physical activity may depend on the context.

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Measuring physical activity using accelerometry in 13–15-year-old adolescents: the importance of including non-wear activities

Cited by 27 publications

References 54 publications

The moderating effect of psychosocial factors in the relation between neighborhood walkability and children’s physical activity

The moderating effect of psychosocial factors in the relation between neighborhood walkability and children’s physical activity

Changes in physical activity during the transition from primary to secondary school in Belgian children: what is the role of the school environment?

Active living neighborhoods: is neighborhood walkability a key element for Belgian adolescents?

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