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Direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study
BACKGROUND: Physical inactivity (PIA) is an important risk factor for many chronic conditions and therefore might increase healthcare utilization and costs. This study aimed to analyze the association of PIA using device assessed and self-reported physical activity (PA) data with direct healthcare c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090754/ https://www.ncbi.nlm.nih.gov/pubmed/30075768 http://dx.doi.org/10.1186/s12889-018-5906-7 |
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author | Karl, Florian M. Tremmel, Maximilian Luzak, Agnes Schulz, Holger Peters, Annette Meisinger, Christa Holle, Rolf Laxy, Michael |
author_facet | Karl, Florian M. Tremmel, Maximilian Luzak, Agnes Schulz, Holger Peters, Annette Meisinger, Christa Holle, Rolf Laxy, Michael |
author_sort | Karl, Florian M. |
collection | PubMed |
description | BACKGROUND: Physical inactivity (PIA) is an important risk factor for many chronic conditions and therefore might increase healthcare utilization and costs. This study aimed to analyze the association of PIA using device assessed and self-reported physical activity (PA) data with direct healthcare costs. METHODS: Cross-sectional data was retrieved from the population based KORA FF4 study (Cooperative Health Research in the Region of Augsburg) that was conducted in southern Germany from 2013 to 2014 (n = 2279). Self-reported PA was assessed with two questions regarding sports related PA in summer and winter and categorized into “high activity”, “moderate activity”, “low activity” and “no activity”. In a subsample (n = 477), PA was assessed with accelerometers and participants were categorized into activity quartiles (“very high”, “high”, “low” and “very low”) according to their mean minutes per day spent in light intensity, or in moderate-vigorous PA (MVPA). Self-reported healthcare utilization was used to estimate direct healthcare costs. We regressed direct healthcare costs on PA using a two-part gamma regression, adjusted for age, sex and socio-demographic variables. Additional models, including and excluding potential additional confounders and effect mediators were used to check the robustness of the results. RESULTS: Annual direct healthcare costs of individuals who reported no sports PA did not differ from those who reported high sports PA [+€189, 95% CI: -188, 598]. In the subsample with accelerometer data, participants with very low MVPA had significantly higher annual costs than participants with very high MVPA [+€986, 95% CI: 15, 1982]. CONCLUSION: Device assessed but not self-reported PIA was associated with higher direct healthcare costs. The magnitude and significance of the association depended on the choice of covariates in the regression models. Larger studies with device assessed PA and longitudinal design are needed to be able to better quantify the impact of PIA on direct healthcare costs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5906-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6090754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60907542018-08-17 Direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study Karl, Florian M. Tremmel, Maximilian Luzak, Agnes Schulz, Holger Peters, Annette Meisinger, Christa Holle, Rolf Laxy, Michael BMC Public Health Research Article BACKGROUND: Physical inactivity (PIA) is an important risk factor for many chronic conditions and therefore might increase healthcare utilization and costs. This study aimed to analyze the association of PIA using device assessed and self-reported physical activity (PA) data with direct healthcare costs. METHODS: Cross-sectional data was retrieved from the population based KORA FF4 study (Cooperative Health Research in the Region of Augsburg) that was conducted in southern Germany from 2013 to 2014 (n = 2279). Self-reported PA was assessed with two questions regarding sports related PA in summer and winter and categorized into “high activity”, “moderate activity”, “low activity” and “no activity”. In a subsample (n = 477), PA was assessed with accelerometers and participants were categorized into activity quartiles (“very high”, “high”, “low” and “very low”) according to their mean minutes per day spent in light intensity, or in moderate-vigorous PA (MVPA). Self-reported healthcare utilization was used to estimate direct healthcare costs. We regressed direct healthcare costs on PA using a two-part gamma regression, adjusted for age, sex and socio-demographic variables. Additional models, including and excluding potential additional confounders and effect mediators were used to check the robustness of the results. RESULTS: Annual direct healthcare costs of individuals who reported no sports PA did not differ from those who reported high sports PA [+€189, 95% CI: -188, 598]. In the subsample with accelerometer data, participants with very low MVPA had significantly higher annual costs than participants with very high MVPA [+€986, 95% CI: 15, 1982]. CONCLUSION: Device assessed but not self-reported PIA was associated with higher direct healthcare costs. The magnitude and significance of the association depended on the choice of covariates in the regression models. Larger studies with device assessed PA and longitudinal design are needed to be able to better quantify the impact of PIA on direct healthcare costs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5906-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-03 /pmc/articles/PMC6090754/ /pubmed/30075768 http://dx.doi.org/10.1186/s12889-018-5906-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Karl, Florian M. Tremmel, Maximilian Luzak, Agnes Schulz, Holger Peters, Annette Meisinger, Christa Holle, Rolf Laxy, Michael Direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study |
title | Direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study |
title_full | Direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study |
title_fullStr | Direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study |
title_full_unstemmed | Direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study |
title_short | Direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study |
title_sort | direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090754/ https://www.ncbi.nlm.nih.gov/pubmed/30075768 http://dx.doi.org/10.1186/s12889-018-5906-7 |
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