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Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score
BACKGROUND: Current evidence on associations of type-specific sedentary behavior with cardiovascular disease (CVD) is limited to mainly screen-time sedentary behavior (SB). We aimed to study the associations of type-specific and total time spent sitting with the Framingham 10-year cardiovascular dis...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIMS Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689818/ https://www.ncbi.nlm.nih.gov/pubmed/29546184 http://dx.doi.org/10.3934/publichealth.2016.3.577 |
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author | Wennman, Heini Vasankari, Tommi Borodulin, Katja |
author_facet | Wennman, Heini Vasankari, Tommi Borodulin, Katja |
author_sort | Wennman, Heini |
collection | PubMed |
description | BACKGROUND: Current evidence on associations of type-specific sedentary behavior with cardiovascular disease (CVD) is limited to mainly screen-time sedentary behavior (SB). We aimed to study the associations of type-specific and total time spent sitting with the Framingham 10-year cardiovascular disease risk score (Framingham score) in Finnish adults. METHODS: Data comprise the National FINRISK 2007 and 2012 health examination surveys with 10,185 participants aged 25–74 years, apparently free of CVD. Participants reported average daily time spent sitting in different locations: work-related sitting, at home in front of television (TV), at home in front of computer, in a vehicle, and elsewhere. Total SB time was calculated from these context-specific self-reports. Accelerometer-based sedentary time was assessed in 988 FINRISK 2012 participants. Framingham score was calculated using information on blood pressure and its medication, cholesterol levels, age, diabetes status, and smoking. Analyses were adjusted for age, study year, education, employment status, leisure time physical activity, and body mass index. RESULTS: Out of several type-specific sitting behaviors, only TV sitting showed systematic associations with the Framingham score in both genders. The lowest Framingham risk was found for TV sitting from 6 minutes to less than 1 hour daily. Of other types of sitting, computer sitting was inversely associated with the Framingham risk in men only. Total self-reported sitting time did not show significant associations with the Framingham score, but instead higher objectively assessed sedentary time showed higher Framingham risk in men. CONCLUSIONS: TV sitting showed most systematic associations with CVD risk score. This suggests that of all types of SB, reducing TV sitting should be targeted for reducing CVD risk. |
format | Online Article Text |
id | pubmed-5689818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | AIMS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56898182018-03-15 Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score Wennman, Heini Vasankari, Tommi Borodulin, Katja AIMS Public Health Research Article BACKGROUND: Current evidence on associations of type-specific sedentary behavior with cardiovascular disease (CVD) is limited to mainly screen-time sedentary behavior (SB). We aimed to study the associations of type-specific and total time spent sitting with the Framingham 10-year cardiovascular disease risk score (Framingham score) in Finnish adults. METHODS: Data comprise the National FINRISK 2007 and 2012 health examination surveys with 10,185 participants aged 25–74 years, apparently free of CVD. Participants reported average daily time spent sitting in different locations: work-related sitting, at home in front of television (TV), at home in front of computer, in a vehicle, and elsewhere. Total SB time was calculated from these context-specific self-reports. Accelerometer-based sedentary time was assessed in 988 FINRISK 2012 participants. Framingham score was calculated using information on blood pressure and its medication, cholesterol levels, age, diabetes status, and smoking. Analyses were adjusted for age, study year, education, employment status, leisure time physical activity, and body mass index. RESULTS: Out of several type-specific sitting behaviors, only TV sitting showed systematic associations with the Framingham score in both genders. The lowest Framingham risk was found for TV sitting from 6 minutes to less than 1 hour daily. Of other types of sitting, computer sitting was inversely associated with the Framingham risk in men only. Total self-reported sitting time did not show significant associations with the Framingham score, but instead higher objectively assessed sedentary time showed higher Framingham risk in men. CONCLUSIONS: TV sitting showed most systematic associations with CVD risk score. This suggests that of all types of SB, reducing TV sitting should be targeted for reducing CVD risk. AIMS Press 2016-08-15 /pmc/articles/PMC5689818/ /pubmed/29546184 http://dx.doi.org/10.3934/publichealth.2016.3.577 Text en © 2016 Heini Wennman, et al., licensee AIMS Press This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) |
spellingShingle | Research Article Wennman, Heini Vasankari, Tommi Borodulin, Katja Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score |
title | Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score |
title_full | Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score |
title_fullStr | Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score |
title_full_unstemmed | Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score |
title_short | Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score |
title_sort | where to sit? type of sitting matters for the framingham cardiovascular risk score |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689818/ https://www.ncbi.nlm.nih.gov/pubmed/29546184 http://dx.doi.org/10.3934/publichealth.2016.3.577 |
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