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Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents
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| Zeitschriftentitel: | BMJ Open |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | BMJ Open, 9, 2019, Suppl 3, S. 136-146 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
BMJ
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| Schlagwörter: |
| author_facet |
Fraysse, François Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy Fraysse, François Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy |
|---|---|
| author |
Fraysse, François Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy |
| spellingShingle |
Fraysse, François Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy BMJ Open Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents General Medicine |
| author_sort |
fraysse, françois |
| spelling |
Fraysse, François Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy 2044-6055 2044-6055 BMJ General Medicine http://dx.doi.org/10.1136/bmjopen-2018-023194 <jats:sec><jats:title>Objectives</jats:title><jats:p>To describe the epidemiology and parent–child concordance of objectively measured physical activity in a population-based sample of Australian parent–child dyads.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Cross-sectional study (Child Health CheckPoint) nested within the Longitudinal Study of Australian Children.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Assessment centres in seven Australian cities and eight regional towns or home visits; February 2015–March 2016.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>Of all CheckPoint families (n=1874), 1261 children (50% girls) and 1358 parent (88% mothers) provided objectively measured activity data, comprising 1077 parent–child dyads.</jats:p></jats:sec><jats:sec><jats:title>Outcome measures</jats:title><jats:p>Activity behaviour was assessed by GENEActiv accelerometer. Duration of moderate-to-vigorous physical activity (MVPA) and vigorous physical activity and sedentary behaviour (SB) were derived using<jats:italic>Cobra</jats:italic>custom software, along with MVPA/SB fragmentation and mean daily activity. Pearson’s correlation coefficients and linear regression estimated parent–child concordance. Survey weights and methods accounted for the complex sample design and clustering.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Although parents had average lower accelerometry counts than children (mean [SD] 209 [46] vs 284 [71] g.min), 93% of parents met MVPA daily duration guidelines on published cutpoints (mean [SD] 125 [63] min/day MVPA), compared with only 15% of children (mean 32 [27] min). Parents showed less daily SB duration (parents: 540 [101], children: 681 [69] minutes) and less fragmented accumulation of MVPA (parents: α=1.85, children: α=2.00). Parent–child correlation coefficients were 0.16 (95% CI 0.11 to 0.22) for MVPA duration, 0.10 (95% CI 0.04 to 0.16) for MVPA fragmentation, 0.16 (95% CI 0.11 to 0.22) for SB duration and 0.18 (95% CI 0.12 to 0.23) for SB fragmentation.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Standardised cutpoints are needed for objective activity measures to inform activity guidelines across the lifecourse. This may reflect large amounts of time in non-shared environments (school and work).</jats:p></jats:sec> Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents BMJ Open |
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10.1136/bmjopen-2018-023194 |
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Online Free |
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BMJ, 2019 |
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BMJ, 2019 |
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2019 |
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BMJ Open |
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49 |
| title |
Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_unstemmed |
Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_full |
Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_fullStr |
Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_full_unstemmed |
Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_short |
Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_sort |
physical activity and sedentary activity: population epidemiology and concordance in australian children aged 11–12 years and their parents |
| topic |
General Medicine |
| url |
http://dx.doi.org/10.1136/bmjopen-2018-023194 |
| publishDate |
2019 |
| physical |
136-146 |
| description |
<jats:sec><jats:title>Objectives</jats:title><jats:p>To describe the epidemiology and parent–child concordance of objectively measured physical activity in a population-based sample of Australian parent–child dyads.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Cross-sectional study (Child Health CheckPoint) nested within the Longitudinal Study of Australian Children.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Assessment centres in seven Australian cities and eight regional towns or home visits; February 2015–March 2016.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>Of all CheckPoint families (n=1874), 1261 children (50% girls) and 1358 parent (88% mothers) provided objectively measured activity data, comprising 1077 parent–child dyads.</jats:p></jats:sec><jats:sec><jats:title>Outcome measures</jats:title><jats:p>Activity behaviour was assessed by GENEActiv accelerometer. Duration of moderate-to-vigorous physical activity (MVPA) and vigorous physical activity and sedentary behaviour (SB) were derived using<jats:italic>Cobra</jats:italic>custom software, along with MVPA/SB fragmentation and mean daily activity. Pearson’s correlation coefficients and linear regression estimated parent–child concordance. Survey weights and methods accounted for the complex sample design and clustering.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Although parents had average lower accelerometry counts than children (mean [SD] 209 [46] vs 284 [71] g.min), 93% of parents met MVPA daily duration guidelines on published cutpoints (mean [SD] 125 [63] min/day MVPA), compared with only 15% of children (mean 32 [27] min). Parents showed less daily SB duration (parents: 540 [101], children: 681 [69] minutes) and less fragmented accumulation of MVPA (parents: α=1.85, children: α=2.00). Parent–child correlation coefficients were 0.16 (95% CI 0.11 to 0.22) for MVPA duration, 0.10 (95% CI 0.04 to 0.16) for MVPA fragmentation, 0.16 (95% CI 0.11 to 0.22) for SB duration and 0.18 (95% CI 0.12 to 0.23) for SB fragmentation.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Standardised cutpoints are needed for objective activity measures to inform activity guidelines across the lifecourse. This may reflect large amounts of time in non-shared environments (school and work).</jats:p></jats:sec> |
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| author | Fraysse, François, Grobler, Anneke C, Muller, Josh, Wake, Melissa, Olds, Timothy |
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| description | <jats:sec><jats:title>Objectives</jats:title><jats:p>To describe the epidemiology and parent–child concordance of objectively measured physical activity in a population-based sample of Australian parent–child dyads.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Cross-sectional study (Child Health CheckPoint) nested within the Longitudinal Study of Australian Children.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Assessment centres in seven Australian cities and eight regional towns or home visits; February 2015–March 2016.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>Of all CheckPoint families (n=1874), 1261 children (50% girls) and 1358 parent (88% mothers) provided objectively measured activity data, comprising 1077 parent–child dyads.</jats:p></jats:sec><jats:sec><jats:title>Outcome measures</jats:title><jats:p>Activity behaviour was assessed by GENEActiv accelerometer. Duration of moderate-to-vigorous physical activity (MVPA) and vigorous physical activity and sedentary behaviour (SB) were derived using<jats:italic>Cobra</jats:italic>custom software, along with MVPA/SB fragmentation and mean daily activity. Pearson’s correlation coefficients and linear regression estimated parent–child concordance. Survey weights and methods accounted for the complex sample design and clustering.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Although parents had average lower accelerometry counts than children (mean [SD] 209 [46] vs 284 [71] g.min), 93% of parents met MVPA daily duration guidelines on published cutpoints (mean [SD] 125 [63] min/day MVPA), compared with only 15% of children (mean 32 [27] min). Parents showed less daily SB duration (parents: 540 [101], children: 681 [69] minutes) and less fragmented accumulation of MVPA (parents: α=1.85, children: α=2.00). Parent–child correlation coefficients were 0.16 (95% CI 0.11 to 0.22) for MVPA duration, 0.10 (95% CI 0.04 to 0.16) for MVPA fragmentation, 0.16 (95% CI 0.11 to 0.22) for SB duration and 0.18 (95% CI 0.12 to 0.23) for SB fragmentation.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Standardised cutpoints are needed for objective activity measures to inform activity guidelines across the lifecourse. This may reflect large amounts of time in non-shared environments (school and work).</jats:p></jats:sec> |
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| spelling | Fraysse, François Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy 2044-6055 2044-6055 BMJ General Medicine http://dx.doi.org/10.1136/bmjopen-2018-023194 <jats:sec><jats:title>Objectives</jats:title><jats:p>To describe the epidemiology and parent–child concordance of objectively measured physical activity in a population-based sample of Australian parent–child dyads.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Cross-sectional study (Child Health CheckPoint) nested within the Longitudinal Study of Australian Children.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Assessment centres in seven Australian cities and eight regional towns or home visits; February 2015–March 2016.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>Of all CheckPoint families (n=1874), 1261 children (50% girls) and 1358 parent (88% mothers) provided objectively measured activity data, comprising 1077 parent–child dyads.</jats:p></jats:sec><jats:sec><jats:title>Outcome measures</jats:title><jats:p>Activity behaviour was assessed by GENEActiv accelerometer. Duration of moderate-to-vigorous physical activity (MVPA) and vigorous physical activity and sedentary behaviour (SB) were derived using<jats:italic>Cobra</jats:italic>custom software, along with MVPA/SB fragmentation and mean daily activity. Pearson’s correlation coefficients and linear regression estimated parent–child concordance. Survey weights and methods accounted for the complex sample design and clustering.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Although parents had average lower accelerometry counts than children (mean [SD] 209 [46] vs 284 [71] g.min), 93% of parents met MVPA daily duration guidelines on published cutpoints (mean [SD] 125 [63] min/day MVPA), compared with only 15% of children (mean 32 [27] min). Parents showed less daily SB duration (parents: 540 [101], children: 681 [69] minutes) and less fragmented accumulation of MVPA (parents: α=1.85, children: α=2.00). Parent–child correlation coefficients were 0.16 (95% CI 0.11 to 0.22) for MVPA duration, 0.10 (95% CI 0.04 to 0.16) for MVPA fragmentation, 0.16 (95% CI 0.11 to 0.22) for SB duration and 0.18 (95% CI 0.12 to 0.23) for SB fragmentation.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Standardised cutpoints are needed for objective activity measures to inform activity guidelines across the lifecourse. This may reflect large amounts of time in non-shared environments (school and work).</jats:p></jats:sec> Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents BMJ Open |
| spellingShingle | Fraysse, François, Grobler, Anneke C, Muller, Josh, Wake, Melissa, Olds, Timothy, BMJ Open, Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents, General Medicine |
| title | Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_full | Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_fullStr | Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_full_unstemmed | Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_short | Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| title_sort | physical activity and sedentary activity: population epidemiology and concordance in australian children aged 11–12 years and their parents |
| title_unstemmed | Physical activity and sedentary activity: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
| topic | General Medicine |
| url | http://dx.doi.org/10.1136/bmjopen-2018-023194 |