Cargando…
Adverse associations of car time with markers of cardio-metabolic risk
OBJECTIVE: To examine associations of time spent sitting in cars with markers of cardio-metabolic risk in Australian adults. METHOD: Data were from 2800 participants (age range: 34–65) in the 2011–12 Australian Diabetes, Obesity and Lifestyle Study. Self-reported time spent in cars was categorized i...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405044/ https://www.ncbi.nlm.nih.gov/pubmed/26656405 http://dx.doi.org/10.1016/j.ypmed.2015.11.029 |
_version_ | 1783231688679096320 |
---|---|
author | Sugiyama, Takemi Wijndaele, Katrien Koohsari, Mohammad Javad Tanamas, Stephanie K. Dunstan, David W. Owen, Neville |
author_facet | Sugiyama, Takemi Wijndaele, Katrien Koohsari, Mohammad Javad Tanamas, Stephanie K. Dunstan, David W. Owen, Neville |
author_sort | Sugiyama, Takemi |
collection | PubMed |
description | OBJECTIVE: To examine associations of time spent sitting in cars with markers of cardio-metabolic risk in Australian adults. METHOD: Data were from 2800 participants (age range: 34–65) in the 2011–12 Australian Diabetes, Obesity and Lifestyle Study. Self-reported time spent in cars was categorized into four groups: ≤ 15 min/day; > 15 to ≤ 30 min/day; > 30 to ≤ 60 min/day; and > 60 min/day. Markers of cardio-metabolic risk were body mass index (BMI), waist circumference, systolic and diastolic blood pressure, triglycerides, HDL (high-density lipoprotein)-cholesterol, fasting plasma glucose, 2-h plasma glucose, a clustered cardio-metabolic risk score, and having the metabolic syndrome or not. Multilevel linear and logistic regression analyses examined associations of car time with each cardio-metabolic risk outcome, adjusting for socio-demographic and behavioral variables and medication use for blood pressure and cholesterol/triglycerides. RESULTS: Compared to spending 15 min/day or less in cars, spending more than 1 h/day in cars was significantly associated with higher BMI, waist circumference, fasting plasma glucose, and clustered cardio-metabolic risk, after adjusting for socio-demographic attributes and potentially relevant behaviors including leisure-time physical activity and dietary intake. Gender interactions showed car time to be associated with higher BMI in men only. CONCLUSIONS: Prolonged time spent sitting in cars, in particular over 1 h/day, was associated with higher total and central adiposity and a more-adverse cardio-metabolic risk profile. Further studies, ideally using objective measures of sitting time in cars and prospective designs, are needed to confirm the impact of car use on cardio-metabolic disease risk. |
format | Online Article Text |
id | pubmed-5405044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54050442017-05-05 Adverse associations of car time with markers of cardio-metabolic risk Sugiyama, Takemi Wijndaele, Katrien Koohsari, Mohammad Javad Tanamas, Stephanie K. Dunstan, David W. Owen, Neville Prev Med Article OBJECTIVE: To examine associations of time spent sitting in cars with markers of cardio-metabolic risk in Australian adults. METHOD: Data were from 2800 participants (age range: 34–65) in the 2011–12 Australian Diabetes, Obesity and Lifestyle Study. Self-reported time spent in cars was categorized into four groups: ≤ 15 min/day; > 15 to ≤ 30 min/day; > 30 to ≤ 60 min/day; and > 60 min/day. Markers of cardio-metabolic risk were body mass index (BMI), waist circumference, systolic and diastolic blood pressure, triglycerides, HDL (high-density lipoprotein)-cholesterol, fasting plasma glucose, 2-h plasma glucose, a clustered cardio-metabolic risk score, and having the metabolic syndrome or not. Multilevel linear and logistic regression analyses examined associations of car time with each cardio-metabolic risk outcome, adjusting for socio-demographic and behavioral variables and medication use for blood pressure and cholesterol/triglycerides. RESULTS: Compared to spending 15 min/day or less in cars, spending more than 1 h/day in cars was significantly associated with higher BMI, waist circumference, fasting plasma glucose, and clustered cardio-metabolic risk, after adjusting for socio-demographic attributes and potentially relevant behaviors including leisure-time physical activity and dietary intake. Gender interactions showed car time to be associated with higher BMI in men only. CONCLUSIONS: Prolonged time spent sitting in cars, in particular over 1 h/day, was associated with higher total and central adiposity and a more-adverse cardio-metabolic risk profile. Further studies, ideally using objective measures of sitting time in cars and prospective designs, are needed to confirm the impact of car use on cardio-metabolic disease risk. Academic Press 2016-02 /pmc/articles/PMC5405044/ /pubmed/26656405 http://dx.doi.org/10.1016/j.ypmed.2015.11.029 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sugiyama, Takemi Wijndaele, Katrien Koohsari, Mohammad Javad Tanamas, Stephanie K. Dunstan, David W. Owen, Neville Adverse associations of car time with markers of cardio-metabolic risk |
title | Adverse associations of car time with markers of cardio-metabolic risk |
title_full | Adverse associations of car time with markers of cardio-metabolic risk |
title_fullStr | Adverse associations of car time with markers of cardio-metabolic risk |
title_full_unstemmed | Adverse associations of car time with markers of cardio-metabolic risk |
title_short | Adverse associations of car time with markers of cardio-metabolic risk |
title_sort | adverse associations of car time with markers of cardio-metabolic risk |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405044/ https://www.ncbi.nlm.nih.gov/pubmed/26656405 http://dx.doi.org/10.1016/j.ypmed.2015.11.029 |
work_keys_str_mv | AT sugiyamatakemi adverseassociationsofcartimewithmarkersofcardiometabolicrisk AT wijndaelekatrien adverseassociationsofcartimewithmarkersofcardiometabolicrisk AT koohsarimohammadjavad adverseassociationsofcartimewithmarkersofcardiometabolicrisk AT tanamasstephaniek adverseassociationsofcartimewithmarkersofcardiometabolicrisk AT dunstandavidw adverseassociationsofcartimewithmarkersofcardiometabolicrisk AT owenneville adverseassociationsofcartimewithmarkersofcardiometabolicrisk |