Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.

<h4>Purpose</h4>Imprecise measurement of physical activity variables might attenuate estimates of the beneficial effects of activity on health-related outcomes. We aimed to compare the cardiometabolic risk factor dose-response relationships for physical activity and sedentary behaviour b...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Carlos A Celis-Morales, Francisco Perez-Bravo, Luis Ibañez, Carlos Salas, Mark E S Bailey, Jason M R Gill
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5b4fd1fa96494d55b870e4333c78fbd6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:5b4fd1fa96494d55b870e4333c78fbd6
record_format	dspace
spelling	oai:doaj.org-article:5b4fd1fa96494d55b870e4333c78fbd62021-11-18T07:19:20ZObjective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.1932-620310.1371/journal.pone.0036345https://doaj.org/article/5b4fd1fa96494d55b870e4333c78fbd62012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22590532/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Purpose</h4>Imprecise measurement of physical activity variables might attenuate estimates of the beneficial effects of activity on health-related outcomes. We aimed to compare the cardiometabolic risk factor dose-response relationships for physical activity and sedentary behaviour between accelerometer- and questionnaire-based activity measures.<h4>Methods</h4>Physical activity and sedentary behaviour were assessed in 317 adults by 7-day accelerometry and International Physical Activity Questionnaire (IPAQ). Fasting blood was taken to determine insulin, glucose, triglyceride and total, LDL and HDL cholesterol concentrations and homeostasis model-estimated insulin resistance (HOMA(IR)). Waist circumference, BMI, body fat percentage and blood pressure were also measured.<h4>Results</h4>For both accelerometer-derived sedentary time (<100 counts.min(-1)) and IPAQ-reported sitting time significant positive (negative for HDL cholesterol) relationships were observed with all measured risk factors--i.e. increased sedentary behaviour was associated with increased risk (all p ≤ 0.01). However, for HOMA(IR) and insulin the regression coefficients were >50% lower for the IPAQ-reported compared to the accelerometer-derived measure (p<0.0001 for both interactions). The relationships for moderate-to-vigorous physical activity (MVPA) and risk factors were less strong than those observed for sedentary behaviours, but significant negative relationships were observed for both accelerometer and IPAQ MVPA measures with glucose, and insulin and HOMA(IR) values (all p<0.05). For accelerometer-derived MVPA only, additional negative relationships were seen with triglyceride, total cholesterol and LDL cholesterol concentrations, BMI, waist circumference and percentage body fat, and a positive relationship was evident with HDL cholesterol (p = 0.0002). Regression coefficients for HOMA(IR), insulin and triglyceride were 43-50% lower for the IPAQ-reported compared to the accelerometer-derived MVPA measure (all p≤0.01).<h4>Conclusion</h4>Using the IPAQ to determine sitting time and MVPA reveals some, but not all, relationships between these activity measures and metabolic and vascular disease risk factors. Using this self-report method to quantify activity can therefore underestimate the strength of some relationships with risk factors.Carlos A Celis-MoralesFrancisco Perez-BravoLuis IbañezCarlos SalasMark E S BaileyJason M R GillPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 5, p e36345 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Carlos A Celis-Morales Francisco Perez-Bravo Luis Ibañez Carlos Salas Mark E S Bailey Jason M R Gill Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.
description	<h4>Purpose</h4>Imprecise measurement of physical activity variables might attenuate estimates of the beneficial effects of activity on health-related outcomes. We aimed to compare the cardiometabolic risk factor dose-response relationships for physical activity and sedentary behaviour between accelerometer- and questionnaire-based activity measures.<h4>Methods</h4>Physical activity and sedentary behaviour were assessed in 317 adults by 7-day accelerometry and International Physical Activity Questionnaire (IPAQ). Fasting blood was taken to determine insulin, glucose, triglyceride and total, LDL and HDL cholesterol concentrations and homeostasis model-estimated insulin resistance (HOMA(IR)). Waist circumference, BMI, body fat percentage and blood pressure were also measured.<h4>Results</h4>For both accelerometer-derived sedentary time (<100 counts.min(-1)) and IPAQ-reported sitting time significant positive (negative for HDL cholesterol) relationships were observed with all measured risk factors--i.e. increased sedentary behaviour was associated with increased risk (all p ≤ 0.01). However, for HOMA(IR) and insulin the regression coefficients were >50% lower for the IPAQ-reported compared to the accelerometer-derived measure (p<0.0001 for both interactions). The relationships for moderate-to-vigorous physical activity (MVPA) and risk factors were less strong than those observed for sedentary behaviours, but significant negative relationships were observed for both accelerometer and IPAQ MVPA measures with glucose, and insulin and HOMA(IR) values (all p<0.05). For accelerometer-derived MVPA only, additional negative relationships were seen with triglyceride, total cholesterol and LDL cholesterol concentrations, BMI, waist circumference and percentage body fat, and a positive relationship was evident with HDL cholesterol (p = 0.0002). Regression coefficients for HOMA(IR), insulin and triglyceride were 43-50% lower for the IPAQ-reported compared to the accelerometer-derived MVPA measure (all p≤0.01).<h4>Conclusion</h4>Using the IPAQ to determine sitting time and MVPA reveals some, but not all, relationships between these activity measures and metabolic and vascular disease risk factors. Using this self-report method to quantify activity can therefore underestimate the strength of some relationships with risk factors.
format	article
author	Carlos A Celis-Morales Francisco Perez-Bravo Luis Ibañez Carlos Salas Mark E S Bailey Jason M R Gill
author_facet	Carlos A Celis-Morales Francisco Perez-Bravo Luis Ibañez Carlos Salas Mark E S Bailey Jason M R Gill
author_sort	Carlos A Celis-Morales
title	Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.
title_short	Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.
title_full	Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.
title_fullStr	Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.
title_full_unstemmed	Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.
title_sort	objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/5b4fd1fa96494d55b870e4333c78fbd6
work_keys_str_mv	AT carlosacelismorales objectivevsselfreportedphysicalactivityandsedentarytimeeffectsofmeasurementmethodonrelationshipswithriskbiomarkers AT franciscoperezbravo objectivevsselfreportedphysicalactivityandsedentarytimeeffectsofmeasurementmethodonrelationshipswithriskbiomarkers AT luisibanez objectivevsselfreportedphysicalactivityandsedentarytimeeffectsofmeasurementmethodonrelationshipswithriskbiomarkers AT carlossalas objectivevsselfreportedphysicalactivityandsedentarytimeeffectsofmeasurementmethodonrelationshipswithriskbiomarkers AT markesbailey objectivevsselfreportedphysicalactivityandsedentarytimeeffectsofmeasurementmethodonrelationshipswithriskbiomarkers AT jasonmrgill objectivevsselfreportedphysicalactivityandsedentarytimeeffectsofmeasurementmethodonrelationshipswithriskbiomarkers
_version_	1718423598356496384

Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers.

Ejemplares similares