Imagen de Portada
Código QR

The reliability, minimal detectable change and concurrent validity of a gravity-based bubble inclinometer and iphone application for measuring standing lumbar lordosis.

Publicado en:Physiotherapy Theory & Practice Vol. 30; no. 1; pp. 62 - 68
Autores principales: Salamh, Paul A., Kolber, Morey
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jan2014
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104170709&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 104170709
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09593985
        BCJ
      jtl: Physiotherapy Theory & Practice
      issn: 09593985
      maglogo: Y
    pubinfo:
      dt: Jan2014
      vid: 30
      iid: 1
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        104170709
        92867613
        10.3109/09593985.2013.800174
        NLM23862655
        104170709
      ppf: 62
      ppct: 6
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: The reliability, minimal detectable change and concurrent validity of a gravity-based bubble inclinometer and iphone application for measuring standing lumbar lordosis.
      aug:
        au:
          Salamh, Paul A.
          Kolber, Morey
        affil: Southeastern Orthopedics Physical Therapy 3404 Wake Forest Rd, Raleigh, NC USA
      sug:
        subj:
          Lordosis Diagnosis
          Biophysical Instruments
          Equipment Reliability
          Wireless Communications Equipment and Supplies
          Body Weights and Measures Methods
          Lumbar Vertebrae Anatomy and Histology
          Range of Motion
          Validation Studies
          Concurrent Validity
          Interrater Reliability
          Intrarater Reliability
          Comparative Studies
          Intraclass Correlation Coefficient
          Data Analysis Software
          Pearson's Correlation Coefficient
          Descriptive Statistics
          Questionnaires
          Adult
          Female
          Male
          Human
          Adult: 19-44 years
          Female
          Male
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N