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

INTRODUCTION: Sedentary 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, the...

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Autores principales: Silva, Gustavo O., Cunha, Paolo M., Oliveira, Max D., Christofaro, Diego G. D., Tebar, William R., Gerage, Aline M., Kanegusuku, Hélcio, Correia, Marilia A., Ritti-Dias, Raphael M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042287/
https://www.ncbi.nlm.nih.gov/pubmed/36993993
http://dx.doi.org/10.3389/fcvm.2023.1116499
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author Silva, Gustavo O.
Cunha, Paolo M.
Oliveira, Max D.
Christofaro, Diego G. D.
Tebar, William R.
Gerage, Aline M.
Kanegusuku, Hélcio
Correia, Marilia A.
Ritti-Dias, Raphael M.
author_facet Silva, Gustavo O.
Cunha, Paolo M.
Oliveira, Max D.
Christofaro, Diego G. D.
Tebar, William R.
Gerage, Aline M.
Kanegusuku, Hélcio
Correia, Marilia A.
Ritti-Dias, Raphael M.
author_sort Silva, Gustavo O.
collection PubMed
description INTRODUCTION: Sedentary 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. METHODS: The 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. RESULTS: The 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 CONCLUSION: In 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 pubmed-100422872023-03-28 Patterns of sedentary behavior in adults: A cross-sectional study Silva, Gustavo O. Cunha, Paolo M. Oliveira, Max D. Christofaro, Diego G. D. Tebar, William R. Gerage, Aline M. Kanegusuku, Hélcio Correia, Marilia A. Ritti-Dias, Raphael M. Front Cardiovasc Med Cardiovascular Medicine INTRODUCTION: Sedentary 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. METHODS: The 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. RESULTS: The 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 CONCLUSION: In 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. Frontiers Media S.A. 2023-03-13 /pmc/articles/PMC10042287/ /pubmed/36993993 http://dx.doi.org/10.3389/fcvm.2023.1116499 Text en © 2023 Silva, Cunha, Oliveira, Christofaro, Tebar, Gerage, Kanegusuku, Correia and Ritti-Dias. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Silva, Gustavo O.
Cunha, Paolo M.
Oliveira, Max D.
Christofaro, Diego G. D.
Tebar, William R.
Gerage, Aline M.
Kanegusuku, Hélcio
Correia, Marilia A.
Ritti-Dias, Raphael M.
Patterns of sedentary behavior in adults: A cross-sectional study
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 Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042287/
https://www.ncbi.nlm.nih.gov/pubmed/36993993
http://dx.doi.org/10.3389/fcvm.2023.1116499
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