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Characteristics associated with non-participation in 7-day accelerometry

OBJECTIVE: To assess levels of physical activity the use of objective physical activity measures like accelerometers is promising. We investigated characteristics associated with non-participation in accelerometry within an apparently healthy sample. METHODS: Among German participants of a cardiovas...

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Autores principales: Weymar, Franziska, Braatz, Janina, Guertler, Diana, van den Berg, Neeltje, Meyer, Christian, John, Ulrich, Felix, Stephan B., Dörr, Marcus, Ulbricht, Sabina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721365/
https://www.ncbi.nlm.nih.gov/pubmed/26844098
http://dx.doi.org/10.1016/j.pmedr.2015.05.003
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author Weymar, Franziska
Braatz, Janina
Guertler, Diana
van den Berg, Neeltje
Meyer, Christian
John, Ulrich
Felix, Stephan B.
Dörr, Marcus
Ulbricht, Sabina
author_facet Weymar, Franziska
Braatz, Janina
Guertler, Diana
van den Berg, Neeltje
Meyer, Christian
John, Ulrich
Felix, Stephan B.
Dörr, Marcus
Ulbricht, Sabina
author_sort Weymar, Franziska
collection PubMed
description OBJECTIVE: To assess levels of physical activity the use of objective physical activity measures like accelerometers is promising. We investigated characteristics associated with non-participation in accelerometry within an apparently healthy sample. METHODS: Among German participants of a cardiovascular examination program (CEP; 2012–2013), 470 participants aged 40–75 years were invited to wear an accelerometer for 7 days. We used multivariate logistic regression to estimate the association between non-participation and the following characteristics of participants: sex, age, education, smoking, setting of recruitment for the CEP (general medical practices, job agencies, statutory health insurance), self-reported general health, and objective health criteria such as cardiorespiratory fitness and absolute number of cardiometabolic risk factors (elevated waist circumference, blood pressure, triglycerides, blood glucose, and reduced high-density lipoprotein). Subsequently, we stratified this analysis by sex. RESULTS: Among all invited individuals, N = 235 (60.0% women) gave consent to participate in accelerometry. Women were more likely to decline participation (odds ratio, 1.7; 95% confidence interval, 1.1–2.7) compared to men. Stratified analyses revealed the absolute number of risk factors as predictor of non-participation for men (1.4; 1.01–2.0), while there was no predictor found in women. CONCLUSION: We found a self-selection bias in participation in accelerometry. Women declined study participation more likely than men. The number of cardiometabolic risk factors decreased compliance only in men. Future studies should consider strategies to reduce this bias.
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spelling pubmed-47213652016-02-03 Characteristics associated with non-participation in 7-day accelerometry Weymar, Franziska Braatz, Janina Guertler, Diana van den Berg, Neeltje Meyer, Christian John, Ulrich Felix, Stephan B. Dörr, Marcus Ulbricht, Sabina Prev Med Rep Regular Article OBJECTIVE: To assess levels of physical activity the use of objective physical activity measures like accelerometers is promising. We investigated characteristics associated with non-participation in accelerometry within an apparently healthy sample. METHODS: Among German participants of a cardiovascular examination program (CEP; 2012–2013), 470 participants aged 40–75 years were invited to wear an accelerometer for 7 days. We used multivariate logistic regression to estimate the association between non-participation and the following characteristics of participants: sex, age, education, smoking, setting of recruitment for the CEP (general medical practices, job agencies, statutory health insurance), self-reported general health, and objective health criteria such as cardiorespiratory fitness and absolute number of cardiometabolic risk factors (elevated waist circumference, blood pressure, triglycerides, blood glucose, and reduced high-density lipoprotein). Subsequently, we stratified this analysis by sex. RESULTS: Among all invited individuals, N = 235 (60.0% women) gave consent to participate in accelerometry. Women were more likely to decline participation (odds ratio, 1.7; 95% confidence interval, 1.1–2.7) compared to men. Stratified analyses revealed the absolute number of risk factors as predictor of non-participation for men (1.4; 1.01–2.0), while there was no predictor found in women. CONCLUSION: We found a self-selection bias in participation in accelerometry. Women declined study participation more likely than men. The number of cardiometabolic risk factors decreased compliance only in men. Future studies should consider strategies to reduce this bias. Elsevier 2015-05-13 /pmc/articles/PMC4721365/ /pubmed/26844098 http://dx.doi.org/10.1016/j.pmedr.2015.05.003 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Weymar, Franziska
Braatz, Janina
Guertler, Diana
van den Berg, Neeltje
Meyer, Christian
John, Ulrich
Felix, Stephan B.
Dörr, Marcus
Ulbricht, Sabina
Characteristics associated with non-participation in 7-day accelerometry
title Characteristics associated with non-participation in 7-day accelerometry
title_full Characteristics associated with non-participation in 7-day accelerometry
title_fullStr Characteristics associated with non-participation in 7-day accelerometry
title_full_unstemmed Characteristics associated with non-participation in 7-day accelerometry
title_short Characteristics associated with non-participation in 7-day accelerometry
title_sort characteristics associated with non-participation in 7-day accelerometry
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721365/
https://www.ncbi.nlm.nih.gov/pubmed/26844098
http://dx.doi.org/10.1016/j.pmedr.2015.05.003
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