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An integrative methodology for classifying physical activity level in apparently healthy populations for use in public health
Physical inactivity is one of the most important risk factors contributing to morbidity and mortality in the world, although sedentary behavior (SB), low-intensity physical activity (LIPA), and shorter sleep duration have also been associated with various chronic diseases and physiopathological cond...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Organización Panamericana de la Salud
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6645220/ https://www.ncbi.nlm.nih.gov/pubmed/31384274 http://dx.doi.org/10.26633/RPSP.2017.161 |
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author | Cristi-Montero, Carlos |
author_facet | Cristi-Montero, Carlos |
author_sort | Cristi-Montero, Carlos |
collection | PubMed |
description | Physical inactivity is one of the most important risk factors contributing to morbidity and mortality in the world, although sedentary behavior (SB), low-intensity physical activity (LIPA), and shorter sleep duration have also been associated with various chronic diseases and physiopathological conditions that may affect health, irrespective of one’s level of physical activity (PA). Current methods to evaluate and classify the PA level in the population appear to be limited, as they primarily focus on time spent performing moderate-to-vigorous PA (MVPA). The aim of this article is to analyze the scientific literature in regard to various combinations of patterns among sleep, SB, LIPA, and MVPA, in order to propose a more integrative PA classification in apparently healthy children, adolescents, and adults. In general, the most common classification is composed of four categories that combine MVPA with SB level as follows: i) “physically active” or “physically inactive” (meets or does not meet weekly MVPA recommendations) and ii) “high SB” or “low SB” (depending on amount of accumulated sedentary time per day).There is a consensus regarding the classification of physically active or not, but agreement has not been reached on the classification of a high SB or low SB level. This new, integrative approach appears to be an appropriate methodological proposal for categorizing the level of PA, with the aim of providing health professionals and researchers a more comprehensive vision of PA behaviors among the population. |
format | Online Article Text |
id | pubmed-6645220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Organización Panamericana de la Salud |
record_format | MEDLINE/PubMed |
spelling | pubmed-66452202019-08-05 An integrative methodology for classifying physical activity level in apparently healthy populations for use in public health Cristi-Montero, Carlos Rev Panam Salud Publica Opinion and Analysis Physical inactivity is one of the most important risk factors contributing to morbidity and mortality in the world, although sedentary behavior (SB), low-intensity physical activity (LIPA), and shorter sleep duration have also been associated with various chronic diseases and physiopathological conditions that may affect health, irrespective of one’s level of physical activity (PA). Current methods to evaluate and classify the PA level in the population appear to be limited, as they primarily focus on time spent performing moderate-to-vigorous PA (MVPA). The aim of this article is to analyze the scientific literature in regard to various combinations of patterns among sleep, SB, LIPA, and MVPA, in order to propose a more integrative PA classification in apparently healthy children, adolescents, and adults. In general, the most common classification is composed of four categories that combine MVPA with SB level as follows: i) “physically active” or “physically inactive” (meets or does not meet weekly MVPA recommendations) and ii) “high SB” or “low SB” (depending on amount of accumulated sedentary time per day).There is a consensus regarding the classification of physically active or not, but agreement has not been reached on the classification of a high SB or low SB level. This new, integrative approach appears to be an appropriate methodological proposal for categorizing the level of PA, with the aim of providing health professionals and researchers a more comprehensive vision of PA behaviors among the population. Organización Panamericana de la Salud 2017-12-05 /pmc/articles/PMC6645220/ /pubmed/31384274 http://dx.doi.org/10.26633/RPSP.2017.161 Text en https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. No modifications or commercial use of this article are permitted. In any reproduction of this article there should not be any suggestion that PAHO or this article endorse any specific organization or products. The use of the PAHO logo is not permitted. This notice should be preserved along with the article’s original URL. |
spellingShingle | Opinion and Analysis Cristi-Montero, Carlos An integrative methodology for classifying physical activity level in apparently healthy populations for use in public health |
title | An integrative methodology for classifying physical activity level in apparently healthy populations for use in public health |
title_full | An integrative methodology for classifying physical activity level in apparently healthy populations for use in public health |
title_fullStr | An integrative methodology for classifying physical activity level in apparently healthy populations for use in public health |
title_full_unstemmed | An integrative methodology for classifying physical activity level in apparently healthy populations for use in public health |
title_short | An integrative methodology for classifying physical activity level in apparently healthy populations for use in public health |
title_sort | integrative methodology for classifying physical activity level in apparently healthy populations for use in public health |
topic | Opinion and Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6645220/ https://www.ncbi.nlm.nih.gov/pubmed/31384274 http://dx.doi.org/10.26633/RPSP.2017.161 |
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