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Article: Evidence for data missing at random in youth physical activity monitoring research

TitleEvidence for data missing at random in youth physical activity monitoring research
Authors
Keywordspublic health
Accelerometry
surveillance
physical activity assessment
Issue Date2017
Citation
Journal of Sports Sciences, 2017, v. 35, n. 5, p. 484-490 How to Cite?
Abstract© 2016 Informa UK Limited, trading as Taylor & Francis Group. This study examined whether or not activity monitor data collected as part of a typical 7-day physical activity (PA) measurement protocol can be expected to be missing at random. A total of 315 participants (9–18 years) each wore a SenseWear Armband monitor for 7 consecutive days. Participants were classified as “compliant” (86 boys and 124 girls) if they had recorded accelerometer data during 70% or more of the predefined awake time (7 AM–10 PM) on four different days; and “non-compliant” (44 boys and 51 girls) when not meeting these criteria. Linear mixed models were used to examine differences in energy expenditure (EE) levels by compliance across 10 different time periods. The results indicated that non-compliant girls were older (13.4 ± 2.9 vs. 12.2 ± 2.5) and taller (156.8 ± 10.3 vs. 152.8 ± 11.3) than their same gender compliant peers (P <.05). Comparisons of EE rates at segmented portions of the day revealed no differences between compliant and non-compliant groups (P ≥.05). Differences in EE ranged from −0.32 kcal · kg−1 · h−1 (before school time) to 0.62 kcal · kg−1 · h−1 (physical education class) in boys and −0.39 kcal · kg−1 · h−1 (transportation from school) to 0.37 kcal · kg−1 · hour−1 (recess) in girls. The results showed that compliant and non-compliant individuals differed in a few demographic characteristics but exhibited similar activity patterns. This suggests that data were considered to be missing at random, but additional work is needed to confirm this observation in a representative sample of children using other types of activity monitors and protocols.
Persistent Identifierhttp://hdl.handle.net/10722/267032
ISSN
2023 Impact Factor: 2.3
2023 SCImago Journal Rankings: 1.115
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSaint-Maurice, P. F.-
dc.contributor.authorKim, Y.-
dc.contributor.authorWelk, G. J.-
dc.date.accessioned2019-01-31T07:20:19Z-
dc.date.available2019-01-31T07:20:19Z-
dc.date.issued2017-
dc.identifier.citationJournal of Sports Sciences, 2017, v. 35, n. 5, p. 484-490-
dc.identifier.issn0264-0414-
dc.identifier.urihttp://hdl.handle.net/10722/267032-
dc.description.abstract© 2016 Informa UK Limited, trading as Taylor & Francis Group. This study examined whether or not activity monitor data collected as part of a typical 7-day physical activity (PA) measurement protocol can be expected to be missing at random. A total of 315 participants (9–18 years) each wore a SenseWear Armband monitor for 7 consecutive days. Participants were classified as “compliant” (86 boys and 124 girls) if they had recorded accelerometer data during 70% or more of the predefined awake time (7 AM–10 PM) on four different days; and “non-compliant” (44 boys and 51 girls) when not meeting these criteria. Linear mixed models were used to examine differences in energy expenditure (EE) levels by compliance across 10 different time periods. The results indicated that non-compliant girls were older (13.4 ± 2.9 vs. 12.2 ± 2.5) and taller (156.8 ± 10.3 vs. 152.8 ± 11.3) than their same gender compliant peers (P <.05). Comparisons of EE rates at segmented portions of the day revealed no differences between compliant and non-compliant groups (P ≥.05). Differences in EE ranged from −0.32 kcal · kg−1 · h−1 (before school time) to 0.62 kcal · kg−1 · h−1 (physical education class) in boys and −0.39 kcal · kg−1 · h−1 (transportation from school) to 0.37 kcal · kg−1 · hour−1 (recess) in girls. The results showed that compliant and non-compliant individuals differed in a few demographic characteristics but exhibited similar activity patterns. This suggests that data were considered to be missing at random, but additional work is needed to confirm this observation in a representative sample of children using other types of activity monitors and protocols.-
dc.languageeng-
dc.relation.ispartofJournal of Sports Sciences-
dc.subjectpublic health-
dc.subjectAccelerometry-
dc.subjectsurveillance-
dc.subjectphysical activity assessment-
dc.titleEvidence for data missing at random in youth physical activity monitoring research-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/02640414.2016.1173719-
dc.identifier.pmid27071002-
dc.identifier.scopuseid_2-s2.0-84963582716-
dc.identifier.volume35-
dc.identifier.issue5-
dc.identifier.spage484-
dc.identifier.epage490-
dc.identifier.eissn1466-447X-
dc.identifier.isiWOS:000391060400011-
dc.identifier.issnl0264-0414-

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