Cross-sectional associations between patterns and composition of upright and stepping events with physical function: insights from The Maastricht Study.

Introduction: Age-related declines in physical functioning have significant implications for health in later life. Physical activity (PA) volume is associated with physical function, but the importance of the pattern in which PA is accumulated is unclear. This study investigates associations between...

Descripción completa

Detalles Bibliográficos
Publicado en:European Review of Aging & Physical Activity Vol. 21; no. 1; pp. 1 - 16
Autores principales: Culverhouse, Joshua, Hillsdon, Melvyn, Koster, Annemarie, Bosma, Hans, de Galan, Bastiaan E., Savelberg, Hans H.C.M., Pulsford, Richard
Formato: Artículo
Publicado: BioMed Central 5/9/2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=177647833&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 177647833
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        18137253
        3RAQ
      jtl: European Review of Aging & Physical Activity
      issn: 18137253
      maglogo: N
    pubinfo:
      dt: 5/9/2024
      vid: 21
      iid: 1
      pid: 24147
      pub: BioMed Central
    artinfo:
      ui:
        177647833
        10.1186/s11556-024-00343-w
      ppf: 1
      ppct: 15
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 1.8MB
      tig:
        atl: Cross-sectional associations between patterns and composition of upright and stepping events with physical function: insights from The Maastricht Study.
      aug:
        au:
          Culverhouse, Joshua
          Hillsdon, Melvyn
          Koster, Annemarie
          Bosma, Hans
          de Galan, Bastiaan E.
          Savelberg, Hans H.C.M.
          Pulsford, Richard
        affil:
          https://ror.org/03yghzc09 Department of Public Health and Sport Sciences, University of Exeter, Exeter, UK
          https://ror.org/02jz4aj89 Department of Social Medicine, Maastricht University, Maastricht, Netherlands
          https://ror.org/02jz4aj89 Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, Netherlands
          https://ror.org/02d9ce178 Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
          https://ror.org/02jz4aj89 Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
          https://ror.org/05wg1m734 Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands
          https://ror.org/02jz4aj89 School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
          https://ror.org/02jz4aj89 Department of Human Movement Sciences, Maastricht University, Maastricht, the Netherlands
      su:
        Physical mobility
        Grip strength
        Physical activity
        Regression analysis
      sug:
        subj:
          Physical mobility
          Grip strength
          Physical activity
          Regression analysis
      keyword:
        Accelerometer
        Fragmentation
        Patterns
        Physical function
        Posture
        Accelerometer
        Fragmentation
        Patterns
        Physical function
        Posture
      ab: Introduction: Age-related declines in physical functioning have significant implications for health in later life. Physical activity (PA) volume is associated with physical function, but the importance of the pattern in which PA is accumulated is unclear. This study investigates associations between accelerometer-determined daily PA patterns, including composition and temporal distribution (burstiness) of upright and stepping events, with physical function. Methods: Data was from participants who wore an activPAL3 accelerometer as part of The Maastricht Study. Exposures included a suite of metrics describing the composition and the temporal distribution (burstiness) of upright and sedentary behaviour. Physical function outcomes included the six-minute walk test (6MWT), timed chair-stand test (TCST), grip strength (GS), and SF-36 physical functioning sub-scale (SF-36pf). Multivariable linear regression models were used to assess associations, adjusting for covariates including overall PA volume (daily step count). Results: Participants(n = 6085) had 6 or 7 days of valid data. Upright and stepping event metrics were associated with physical function outcomes, even after adjusting PA volume. Higher sedentary burstiness was associated with better function (6MWT, TCST, and SF-36pf), as was duration and step volume of stepping events (6MWT, TCST, GS, and SF-36pf), step-weighted cadence (6MWT, TCST, and SF-36pf). Number of stepping events was associated with poorer function (6MWT, GS, and SF-36pf), as was upright event burstiness (SF-36pf). Associations varied according to sex. Conclusion: Our study reveals that diverse patterns of physical activity accumulation exhibit distinct associations with various measures of physical function, irrespective of the overall volume. Subsequent investigations should employ longitudinal and experimental studies to examine how changing patterns of physical activity may affect physical function, and other health outcomes.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N