Patterns of sedentary behavior in adults: A cross-sectional study

IntroductionSedentary behavior (SB) has been associated with adverse health outcomes, however, it is not completely clear whether total time in SB during the day or prolonged uninterrupted SB are interrelated. The aim of the current study was to describe the different patterns of SB of adults, their...

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Main Authors: Gustavo O. Silva, Paolo M. Cunha, Max D. Oliveira, Diego G. D. Christofaro, William R. Tebar, Aline M. Gerage, Hélcio Kanegusuku, Marilia A. Correia, Raphael M. Ritti-Dias
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1116499/full
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author Gustavo O. Silva
Paolo M. Cunha
Max D. Oliveira
Diego G. D. Christofaro
William R. Tebar
Aline M. Gerage
Hélcio Kanegusuku
Marilia A. Correia
Raphael M. Ritti-Dias
author_facet Gustavo O. Silva
Paolo M. Cunha
Max D. Oliveira
Diego G. D. Christofaro
William R. Tebar
Aline M. Gerage
Hélcio Kanegusuku
Marilia A. Correia
Raphael M. Ritti-Dias
author_sort Gustavo O. Silva
collection DOAJ
description IntroductionSedentary behavior (SB) has been associated with adverse health outcomes, however, it is not completely clear whether total time in SB during the day or prolonged uninterrupted SB are interrelated. The aim of the current study was to describe the different patterns of SB of adults, their relationships, and associated factors.MethodsThe sample included 184 adults aged ranging from 18 to 59 years old. SB was objectively measured by an accelerometer and the following SB pattern parameters were obtained: total time in sedentary bouts, mean time of sedentary bouts, and total time in sedentary breaks. Demographic data (age and sex), anthropometry [weight, height, body mass index (BMI)], blood pressure (BP), medical history (self-reported comorbid conditions), and cardiac autonomic modulation, were assessed to identify factors associated with SB. Multiple linear regressions were used to analyze the relationship between SB parameters and the associated factors.ResultsThe parameters of SB indicated 2.4 (0.9) h/day for total time in sedentary bouts, 36.4 (7.9) min for the mean time of sedentary bouts, and 9.1 (1.9) h/day for the total time in sedentary breaks. Multiple adjusted regression indicated that age was the only factor associated with SB patterns (p < 0.05) after adjustment for confounding variables (sex, age, BMI, dyslipidemia, systolic and diastolic BP). Young adults (18–39 years old) spent more time in sedentary bouts and less time in uninterrupted sedentary bouts compared to middle-aged adults (40–59 years old) (2.58 (0.88) h/day vs. 2.13 (0.90) h/day, respectively; p = 0.001 and 34.5 (5.8) min 18–39 years old vs. 38.8 (9.6) min 40–59 years old; p  ≤ 0.001; respectively). The total time in sedentary breaks was similar between age groups (p = 0.465). The total time in sedentary bouts was significantly correlated with the mean time of sedentary bouts (r = −0.58; p ≤ 0.001), and with the total time in sedentary breaks (r = −0.20; p = 0.006). The mean time of sedentary bouts was significantly related to the total time in sedentary breaks (r -= 0.19; p = 0.007).Discussion and ConclusionIn conclusion, age seems to be a relevant factor associated with sedentary behavior with young adults spending more time in SB and accumulating this behavior in a higher amount of sedentary bouts compared to middle-aged adults.
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spelling doaj.art-bdbdb871dfc2498f8e7fccb2398f38582023-03-13T04:48:10ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2023-03-011010.3389/fcvm.2023.11164991116499Patterns of sedentary behavior in adults: A cross-sectional studyGustavo O. Silva0Paolo M. Cunha1Max D. Oliveira2Diego G. D. Christofaro3William R. Tebar4Aline M. Gerage5Hélcio Kanegusuku6Marilia A. Correia7Raphael M. Ritti-Dias8Postgraduate Program in Rehabilitation Sciences, Universidade Nove de Julho (UNINOVE), Sao Paulo, BrazilInstituto Israelita de Ensino e Pesquisa Albert Einstein (IIEP), Hospital Israelita Albert Einstein, Sao Paulo, BrazilPostgraduate Program in Rehabilitation Sciences, Universidade Nove de Julho (UNINOVE), Sao Paulo, BrazilFaculty of Science and Technology, Sao Paulo State University (Unesp), Presidente Prudente, BrazilCenter for Clinical and Epidemiological Research, University Hospital, University of Sao Paulo, Sao Paulo, BrazilPhysical Education Department, Federal University of Santa Catarina, Florianopolis, BrazilInstituto Israelita de Ensino e Pesquisa Albert Einstein (IIEP), Hospital Israelita Albert Einstein, Sao Paulo, BrazilPostgraduate Program in Rehabilitation Sciences, Universidade Nove de Julho (UNINOVE), Sao Paulo, BrazilPostgraduate Program in Rehabilitation Sciences, Universidade Nove de Julho (UNINOVE), Sao Paulo, BrazilIntroductionSedentary behavior (SB) has been associated with adverse health outcomes, however, it is not completely clear whether total time in SB during the day or prolonged uninterrupted SB are interrelated. The aim of the current study was to describe the different patterns of SB of adults, their relationships, and associated factors.MethodsThe sample included 184 adults aged ranging from 18 to 59 years old. SB was objectively measured by an accelerometer and the following SB pattern parameters were obtained: total time in sedentary bouts, mean time of sedentary bouts, and total time in sedentary breaks. Demographic data (age and sex), anthropometry [weight, height, body mass index (BMI)], blood pressure (BP), medical history (self-reported comorbid conditions), and cardiac autonomic modulation, were assessed to identify factors associated with SB. Multiple linear regressions were used to analyze the relationship between SB parameters and the associated factors.ResultsThe parameters of SB indicated 2.4 (0.9) h/day for total time in sedentary bouts, 36.4 (7.9) min for the mean time of sedentary bouts, and 9.1 (1.9) h/day for the total time in sedentary breaks. Multiple adjusted regression indicated that age was the only factor associated with SB patterns (p < 0.05) after adjustment for confounding variables (sex, age, BMI, dyslipidemia, systolic and diastolic BP). Young adults (18–39 years old) spent more time in sedentary bouts and less time in uninterrupted sedentary bouts compared to middle-aged adults (40–59 years old) (2.58 (0.88) h/day vs. 2.13 (0.90) h/day, respectively; p = 0.001 and 34.5 (5.8) min 18–39 years old vs. 38.8 (9.6) min 40–59 years old; p  ≤ 0.001; respectively). The total time in sedentary breaks was similar between age groups (p = 0.465). The total time in sedentary bouts was significantly correlated with the mean time of sedentary bouts (r = −0.58; p ≤ 0.001), and with the total time in sedentary breaks (r = −0.20; p = 0.006). The mean time of sedentary bouts was significantly related to the total time in sedentary breaks (r -= 0.19; p = 0.007).Discussion and ConclusionIn conclusion, age seems to be a relevant factor associated with sedentary behavior with young adults spending more time in SB and accumulating this behavior in a higher amount of sedentary bouts compared to middle-aged adults.https://www.frontiersin.org/articles/10.3389/fcvm.2023.1116499/fullphysical activitycardiometabolic healthexerciseaccelerometersitting
spellingShingle Gustavo O. Silva
Paolo M. Cunha
Max D. Oliveira
Diego G. D. Christofaro
William R. Tebar
Aline M. Gerage
Hélcio Kanegusuku
Marilia A. Correia
Raphael M. Ritti-Dias
Patterns of sedentary behavior in adults: A cross-sectional study
Frontiers in Cardiovascular Medicine
physical activity
cardiometabolic health
exercise
accelerometer
sitting
title Patterns of sedentary behavior in adults: A cross-sectional study
title_full Patterns of sedentary behavior in adults: A cross-sectional study
title_fullStr Patterns of sedentary behavior in adults: A cross-sectional study
title_full_unstemmed Patterns of sedentary behavior in adults: A cross-sectional study
title_short Patterns of sedentary behavior in adults: A cross-sectional study
title_sort patterns of sedentary behavior in adults a cross sectional study
topic physical activity
cardiometabolic health
exercise
accelerometer
sitting
url https://www.frontiersin.org/articles/10.3389/fcvm.2023.1116499/full
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