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Joint Profiles of Sedentary Time and Physical Activity in Adults and Their Associations with Cardiometabolic Health

PURPOSE: This study aimed to identify and characterize joint profiles of sedentary time and physical activity among adults and to investigate how these profiles are associated with markers of cardiometabolic health. METHODS: The participants included 3702 of the Northern Finland Birth Cohort 1966 at...

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Autores principales: FARRAHI, VAHID, ROSTAMI, MEHRDAD, DUMUID, DOT, CHASTIN, SEBASTIEN F. M., NIEMELÄ, MAISA, KORPELAINEN, RAIJA, JÄMSÄ, TIMO, OUSSALAH, MOURAD
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671590/
https://www.ncbi.nlm.nih.gov/pubmed/35881930
http://dx.doi.org/10.1249/MSS.0000000000003008
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author FARRAHI, VAHID
ROSTAMI, MEHRDAD
DUMUID, DOT
CHASTIN, SEBASTIEN F. M.
NIEMELÄ, MAISA
KORPELAINEN, RAIJA
JÄMSÄ, TIMO
OUSSALAH, MOURAD
author_facet FARRAHI, VAHID
ROSTAMI, MEHRDAD
DUMUID, DOT
CHASTIN, SEBASTIEN F. M.
NIEMELÄ, MAISA
KORPELAINEN, RAIJA
JÄMSÄ, TIMO
OUSSALAH, MOURAD
author_sort FARRAHI, VAHID
collection PubMed
description PURPOSE: This study aimed to identify and characterize joint profiles of sedentary time and physical activity among adults and to investigate how these profiles are associated with markers of cardiometabolic health. METHODS: The participants included 3702 of the Northern Finland Birth Cohort 1966 at age 46 yr, who wore a hip-worn accelerometer during waking hours and provided seven consecutive days of valid data. Sedentary time, light-intensity physical activity, and moderate- to vigorous-intensity physical activity on each valid day were obtained, and a data-driven clustering approach (“KmL3D”) was used to characterize distinct joint profiles of sedentary time and physical activity intensities. Participants self-reported their sleep duration and performed a submaximal step test with continuous heart rate measurement to estimate their cardiorespiratory fitness (peak heart rate). Linear regression was used to determine the association between joint profiles of sedentary time and physical activities with cardiometabolic health markers, including adiposity markers and blood lipid, glucose, and insulin levels. RESULTS: Four distinct groups were identified: “active couch potatoes” (n = 1173), “sedentary light movers” (n = 1199), “sedentary exercisers” (n = 694), and “movers” (n = 636). Although sufficiently active, active couch potatoes had the highest daily sedentary time (>10 h) and lowest light-intensity physical activity. Compared with active couch potatoes, sedentary light movers, sedentary exercisers, and movers spent less time in sedentary by performing more physical activity at light-intensity upward and had favorable differences in their cardiometabolic health markers after accounting for potential confounders (1.1%–25.0% lower values depending on the health marker and profile). CONCLUSIONS: After accounting for sleep duration and cardiorespiratory fitness, waking activity profiles characterized by performing more physical activity at light-intensity upward, resulting in less time spent in sedentary, were associated with better cardiometabolic health.
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spelling pubmed-96715902022-11-21 Joint Profiles of Sedentary Time and Physical Activity in Adults and Their Associations with Cardiometabolic Health FARRAHI, VAHID ROSTAMI, MEHRDAD DUMUID, DOT CHASTIN, SEBASTIEN F. M. NIEMELÄ, MAISA KORPELAINEN, RAIJA JÄMSÄ, TIMO OUSSALAH, MOURAD Med Sci Sports Exerc Epidemiology PURPOSE: This study aimed to identify and characterize joint profiles of sedentary time and physical activity among adults and to investigate how these profiles are associated with markers of cardiometabolic health. METHODS: The participants included 3702 of the Northern Finland Birth Cohort 1966 at age 46 yr, who wore a hip-worn accelerometer during waking hours and provided seven consecutive days of valid data. Sedentary time, light-intensity physical activity, and moderate- to vigorous-intensity physical activity on each valid day were obtained, and a data-driven clustering approach (“KmL3D”) was used to characterize distinct joint profiles of sedentary time and physical activity intensities. Participants self-reported their sleep duration and performed a submaximal step test with continuous heart rate measurement to estimate their cardiorespiratory fitness (peak heart rate). Linear regression was used to determine the association between joint profiles of sedentary time and physical activities with cardiometabolic health markers, including adiposity markers and blood lipid, glucose, and insulin levels. RESULTS: Four distinct groups were identified: “active couch potatoes” (n = 1173), “sedentary light movers” (n = 1199), “sedentary exercisers” (n = 694), and “movers” (n = 636). Although sufficiently active, active couch potatoes had the highest daily sedentary time (>10 h) and lowest light-intensity physical activity. Compared with active couch potatoes, sedentary light movers, sedentary exercisers, and movers spent less time in sedentary by performing more physical activity at light-intensity upward and had favorable differences in their cardiometabolic health markers after accounting for potential confounders (1.1%–25.0% lower values depending on the health marker and profile). CONCLUSIONS: After accounting for sleep duration and cardiorespiratory fitness, waking activity profiles characterized by performing more physical activity at light-intensity upward, resulting in less time spent in sedentary, were associated with better cardiometabolic health. Lippincott Williams & Wilkins 2022-12 2022-07-30 /pmc/articles/PMC9671590/ /pubmed/35881930 http://dx.doi.org/10.1249/MSS.0000000000003008 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Sports Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Epidemiology
FARRAHI, VAHID
ROSTAMI, MEHRDAD
DUMUID, DOT
CHASTIN, SEBASTIEN F. M.
NIEMELÄ, MAISA
KORPELAINEN, RAIJA
JÄMSÄ, TIMO
OUSSALAH, MOURAD
Joint Profiles of Sedentary Time and Physical Activity in Adults and Their Associations with Cardiometabolic Health
title Joint Profiles of Sedentary Time and Physical Activity in Adults and Their Associations with Cardiometabolic Health
title_full Joint Profiles of Sedentary Time and Physical Activity in Adults and Their Associations with Cardiometabolic Health
title_fullStr Joint Profiles of Sedentary Time and Physical Activity in Adults and Their Associations with Cardiometabolic Health
title_full_unstemmed Joint Profiles of Sedentary Time and Physical Activity in Adults and Their Associations with Cardiometabolic Health
title_short Joint Profiles of Sedentary Time and Physical Activity in Adults and Their Associations with Cardiometabolic Health
title_sort joint profiles of sedentary time and physical activity in adults and their associations with cardiometabolic health
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671590/
https://www.ncbi.nlm.nih.gov/pubmed/35881930
http://dx.doi.org/10.1249/MSS.0000000000003008
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