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01.12.2015 | Research article | Ausgabe 1/2015 Open Access

BMC Public Health 1/2015

Concurrent and predictive validity of physical activity measurement items commonly used in clinical settings– data from SCAPIS pilot study

Zeitschrift:
BMC Public Health > Ausgabe 1/2015
Autoren:
Örjan Ekblom, Elin Ekblom-Bak, Kate A Bolam, Björn Ekblom, Caroline Schmidt, Stefan Söderberg, Göran Bergström, Mats Börjesson
Wichtige Hinweise

Competing interest

The authors declare that they have no competing interests.

Authors’ contributions

GB was responsible for study design. GB, MB, SS, BE, CS, KB, ÖE and EEB were responsible for data acquisition and analyses. ÖE wrote the initial manuscript, and all authors have been involved in drafting the manuscript and revising it critically for important intellectual content. All authors read and approved the final manuscript.

Authors’ information

Not applicable.

Abstract

Background

As the understanding of how different aspects of the physical activity (PA) pattern relate to health and disease, proper assessment is increasingly important. In clinical care, self-reports are the most commonly used assessment technique. However, systematic comparisons between questions regarding concurrent or criterion validity are rare, as are measures of predictive validity. The aim of the study was to examine the concurrent (using accelerometry as reference) and predictive validity (for metabolic syndrome) of five PA questions.

Methods

A sample of 948 middle-aged Swedish men and women reported their PA patterns via five different questions and wore an accelerometer (Actigraph GT3X) for a minimum of 4 days. Concurrent validity was assessed as correlations and ROC-analyses. Predictive validity was assessed using logistic regression, controlling for potential confounders.

Results

Concurrent validity was low-to-moderate (r <0.35 and ROC AUC <0.7) with large misclassifications regarding time spent sitting/sedentary and in moderate-to vigorous PA. The predictive validity of the questions was good, and one question (PHAS) showed an 80 % decreased odds-ratio of having metabolic syndrome, after taking potential confounders into consideration.

Discussion

In this mixed sample of adults, both concurrent and predictive validity vaired between items and between measures of the physical activity pattern. The PHAS and WALK items are proposed for assessment of adherence to PA recommendations.

Conclusion

Assessing PA patterns using self-report measures results in methodological problems when trying to predict individual risk for the metabolic syndrome, as the concurrent validity generally was low. However, several of the investigated questions may be useful for assessing risk at a group level, showing better predictive validity.
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