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Deviation between self-reported and measured occupational physical activity levels in office employees: effects of age and body composition.
Wick, Katharina; Faude, Oliver; Schwager, Susanne; Zahner, Lukas; Donath, Lars.
Afiliação
  • Wick K; Institute of Psychosocial Medicine and Psychotherapy, University Hospital, Friedrich-Schiller-University Jena, Stoystr. 3, 07740, Jena, Germany. katharina.wick@med.uni-jena.de.
  • Faude O; Department of Sport, Exercise and Health University of Basel, Birsstrasse 320, 4052, Basel, Switzerland.
  • Schwager S; Institute of Psychosocial Medicine and Psychotherapy, University Hospital, Friedrich-Schiller-University Jena, Stoystr. 3, 07740, Jena, Germany.
  • Zahner L; Department of Sport, Exercise and Health University of Basel, Birsstrasse 320, 4052, Basel, Switzerland.
  • Donath L; Department of Sport, Exercise and Health University of Basel, Birsstrasse 320, 4052, Basel, Switzerland.
Int Arch Occup Environ Health ; 89(4): 575-82, 2016 May.
Article em En | MEDLINE | ID: mdl-26511639
ABSTRACT

OBJECTIVES:

Whether occupational physical activity (PA) will be assessed via questionnaires or accelerometry depends on available resources. Although self-reported data collection seems feasible and inexpensive, obtained information could be biased by demographic determinants. Thus, we aimed at comparing self-reported and objectively measured occupational sitting, standing, and walking times adjusted for socio-demographic variables.

METHODS:

Thirty-eight office employees (eight males, 30 females, age 40.8 ± 11.4 years, BMI 23.9 ± 4.2 kg/m(2)) supplied with height-adjustable working desks were asked to report sitting, standing, and walking times using the Occupational Sitting and Physical Activity Questionnaire during one working week. The ActiGraph wGT3X-BT was used to objectively measure occupational PA during the same week. Subjectively and objectively measured data were compared computing the intra-class correlation coefficients, paired t tests and Bland-Altman plots. Furthermore, repeated-measurement ANOVAs for measurement (subjective vs. objective) and socio-demographic variables were calculated.

RESULTS:

Self-reported data yielded a significant underestimation of standing time (13.3 vs. 17.9%) and an overestimation of walking time (12.7 vs. 5.0%). Significant interaction effects of age and measurement of standing time (F = 6.0, p = .02, ηp(2) = .14) and BMI group and measurement of walking time were found (F = 3.7, p = .04, ηp(2) = .17). Older employees (>39 years) underestimated their standing time, while underweight workers (BMI < 20 kg/m(2)) overestimated their walking time.

CONCLUSIONS:

Self-reported PA data differ from objective data. Demographic variables (age, BMI) affect the amount of self-reported misjudging of PA. In order to improve the validity of self-reported data, a correction formula for the economic assessment of PA by subjective measures is needed, considering age and BMI.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Postura / Caminhada / Autorrelato / Acelerometria Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Int Arch Occup Environ Health Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Postura / Caminhada / Autorrelato / Acelerometria Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Int Arch Occup Environ Health Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Alemanha