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Day-level associations of physical activity and sedentary time in mother–child dyads across three years: a multi-wave longitudinal study using accelerometers.

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Title: Day-level associations of physical activity and sedentary time in mother–child dyads across three years: a multi-wave longitudinal study using accelerometers.
Authors: Yang, Chih-Hsiang, Wang, Shirlene, Wang, Wei-Lin, Belcher, Britni R., Dunton, Genevieve F.
Source: Journal of Behavioral Medicine. Oct2022, Vol. 45 Issue 5, p702-715. 14p. 3 Charts, 2 Graphs.
Subjects: Sedentary lifestyles, Lifestyles, Statistics, Human research subjects, Analysis of variance, Anthropometry, Accelerometers, Regression analysis, Physical activity, Informed consent (Medical law), Accelerometry, Descriptive statistics, Research funding, Statistical correlation, Sociodemographic factors, Body mass index, Data analysis software, Mother-child relationship, Longitudinal method, Secondary analysis
Abstract: Understanding associations between mothers' and children's physical activity and sedentary behavior on more fine-grained timescales can provide insights into real-time intervention opportunities. This study examined the extent to which mothers' and their children's device-measured moderate-to-vigorous physical activity (MVPA) and sedentary time (SDT) were associated at the day level during non-school time. Mother–child dyads (N = 193; baseline Mean ages = 40.69 ± 6.11 [mother] and 9.57 ± 0.89 [child] years) provided 3,135 paired days of accelerometry data from six bi-annual waves across three years. Controlling for covariates, multilevel models revealed that mothers' and their children's MVPA and SDT were positively associated at the day level during non-school time, both on weekdays and weekends. During weekdays, the day-level association for SDT was stronger for older than younger children, and the day-level association for MVPA was stronger for boys than girls. Designing family-based interventions targeting school-age children and their mothers during non-school time across the week may be useful for promoting active lifestyles. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Day-level associations of physical activity and sedentary time in mother–child dyads across three years: a multi-wave longitudinal study using accelerometers.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Chih-Hsiang%22">Yang, Chih-Hsiang</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Shirlene%22">Wang, Shirlene</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Wei-Lin%22">Wang, Wei-Lin</searchLink><br /><searchLink fieldCode="AR" term="%22Belcher%2C+Britni+R%2E%22">Belcher, Britni R.</searchLink><br /><searchLink fieldCode="AR" term="%22Dunton%2C+Genevieve+F%2E%22">Dunton, Genevieve F.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Behavioral+Medicine%22">Journal of Behavioral Medicine</searchLink>. Oct2022, Vol. 45 Issue 5, p702-715. 14p. 3 Charts, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Sedentary+lifestyles%22">Sedentary lifestyles</searchLink><br /><searchLink fieldCode="DE" term="%22Lifestyles%22">Lifestyles</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Human+research+subjects%22">Human research subjects</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Anthropometry%22">Anthropometry</searchLink><br /><searchLink fieldCode="DE" term="%22Accelerometers%22">Accelerometers</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+activity%22">Physical activity</searchLink><br /><searchLink fieldCode="DE" term="%22Informed+consent+%28Medical+law%29%22">Informed consent (Medical law)</searchLink><br /><searchLink fieldCode="DE" term="%22Accelerometry%22">Accelerometry</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Body+mass+index%22">Body mass index</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Mother-child+relationship%22">Mother-child relationship</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+analysis%22">Secondary analysis</searchLink>
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  Data: Understanding associations between mothers' and children's physical activity and sedentary behavior on more fine-grained timescales can provide insights into real-time intervention opportunities. This study examined the extent to which mothers' and their children's device-measured moderate-to-vigorous physical activity (MVPA) and sedentary time (SDT) were associated at the day level during non-school time. Mother–child dyads (N = 193; baseline Mean ages = 40.69 ± 6.11 [mother] and 9.57 ± 0.89 [child] years) provided 3,135 paired days of accelerometry data from six bi-annual waves across three years. Controlling for covariates, multilevel models revealed that mothers' and their children's MVPA and SDT were positively associated at the day level during non-school time, both on weekdays and weekends. During weekdays, the day-level association for SDT was stronger for older than younger children, and the day-level association for MVPA was stronger for boys than girls. Designing family-based interventions targeting school-age children and their mothers during non-school time across the week may be useful for promoting active lifestyles. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10865-022-00335-0
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 702
    Subjects:
      – SubjectFull: Sedentary lifestyles
        Type: general
      – SubjectFull: Lifestyles
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Human research subjects
        Type: general
      – SubjectFull: Analysis of variance
        Type: general
      – SubjectFull: Anthropometry
        Type: general
      – SubjectFull: Accelerometers
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Physical activity
        Type: general
      – SubjectFull: Informed consent (Medical law)
        Type: general
      – SubjectFull: Accelerometry
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Sociodemographic factors
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      – SubjectFull: Body mass index
        Type: general
      – SubjectFull: Data analysis software
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      – SubjectFull: Mother-child relationship
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Secondary analysis
        Type: general
    Titles:
      – TitleFull: Day-level associations of physical activity and sedentary time in mother–child dyads across three years: a multi-wave longitudinal study using accelerometers.
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            NameFull: Yang, Chih-Hsiang
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            NameFull: Wang, Shirlene
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            NameFull: Wang, Wei-Lin
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              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
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              Value: 45
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