Physical activity pattern in Iran: Findings from STEPS 2021
BackgroundInsufficient physical activity (IPA) is a significant risk factor for various non-communicable diseases. The Iran action plan is a 20% reduction in IPA. Therefore, we aimed to describe the age and sex pattern of physical activity domains, IPA, the intensity of physical activity, sedentary...
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Frontiers Media S.A.
2023-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1036219/full |
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author | Seyed Aria Nejadghaderi Seyed Aria Nejadghaderi Naser Ahmadi Mohammad-Mahdi Rashidi Ali Ghanbari Maryam Noori Maryam Noori Mohsen Abbasi-Kangevari Maryam Nasserinejad Maryam Nasserinejad Negar Rezaei Negar Rezaei Moein Yoosefi Nima Fattahi Nima Fattahi Erfan Ghasemi Yosef Farzi Yosef Farzi Elham Abdolhamidi Mahbobeh Darman Shirin Djalalinia Farshad Farzadfar Farshad Farzadfar |
author_facet | Seyed Aria Nejadghaderi Seyed Aria Nejadghaderi Naser Ahmadi Mohammad-Mahdi Rashidi Ali Ghanbari Maryam Noori Maryam Noori Mohsen Abbasi-Kangevari Maryam Nasserinejad Maryam Nasserinejad Negar Rezaei Negar Rezaei Moein Yoosefi Nima Fattahi Nima Fattahi Erfan Ghasemi Yosef Farzi Yosef Farzi Elham Abdolhamidi Mahbobeh Darman Shirin Djalalinia Farshad Farzadfar Farshad Farzadfar |
author_sort | Seyed Aria Nejadghaderi |
collection | DOAJ |
description | BackgroundInsufficient physical activity (IPA) is a significant risk factor for various non-communicable diseases. The Iran action plan is a 20% reduction in IPA. Therefore, we aimed to describe the age and sex pattern of physical activity domains, IPA, the intensity of physical activity, sedentary behavior, and their associates at Iran's national and provincial levels in 2021.MethodsThis study used the data of the STEPwise Approach to NCD Risk Factor Surveillance (STEPS) 2021 in Iran. The STEPS study used the Global Physical Activity Questionnaire (GPAQ) version two developed by WHO for the assessment of physical activity, which included work, transport, and recreational activities domains. We showed and compared demographic and clinical characteristics of participants between males and females, using t-test and Chi-square test. A logistic regression model adjusted for residential areas, years of schooling, wealth index, age, marital status, and occupation has also been implemented. The results were presented as percentages and 95% confidence intervals (CI).ResultsWe included 27,874 participants with a mean (SD) age of 45.69 (15.91), among whom 12,479 (44.77%) were male. The mean prevalence of IPA for the whole population for all ages was 51.3% (50.62–51.98%). By sex, 41.93% (40.88–42.98%) and 57.87% (56.99–58.75%) of men and women had IPA, respectively. According to the physical activity domains, the age-standardized prevalence of no recreational activity was 79.40% (78.80–79.99%), no activity at work was 66.66% (65.99–67.32%), and no activity at transport was 49.40% (48.68–50.11%) for both sexes combined. Also, the overall age-standardized prevalence of sedentary behaviors was 50.82% (50.11–51.53%). Yazd province represented the highest prevalence of IPA (63.45%), while West Azerbaijan province represented the lowest prevalence (39.53%). Among both sexes, living in the urban area vs. rural area [adjusted OR: 1.44; (1.31–1.58)], married vs. single status [adjusted OR: 1.33; (1.16–1.53)], and wealth index of class 3 vs. class 1 [adjusted OR: 1.15; (1.01–1.30)] were significantly associated with a higher rate of IPA.ConclusionThe prevalence of IPA was considerably high in Iran. To achieve the predefined goal of reducing IPA, the health system should prioritize increasing physical activity, especially in urban areas and among females. |
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language | English |
last_indexed | 2024-04-11T00:59:41Z |
publishDate | 2023-01-01 |
publisher | Frontiers Media S.A. |
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spelling | doaj.art-4fe15b4a248b42ba9aa8d1704a5b42f92023-01-04T17:20:33ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-01-011010.3389/fpubh.2022.10362191036219Physical activity pattern in Iran: Findings from STEPS 2021Seyed Aria Nejadghaderi0Seyed Aria Nejadghaderi1Naser Ahmadi2Mohammad-Mahdi Rashidi3Ali Ghanbari4Maryam Noori5Maryam Noori6Mohsen Abbasi-Kangevari7Maryam Nasserinejad8Maryam Nasserinejad9Negar Rezaei10Negar Rezaei11Moein Yoosefi12Nima Fattahi13Nima Fattahi14Erfan Ghasemi15Yosef Farzi16Yosef Farzi17Elham Abdolhamidi18Mahbobeh Darman19Shirin Djalalinia20Farshad Farzadfar21Farshad Farzadfar22Non-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranSystematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranCenter for Life Course Heath Research, Faculty of Medicine, University of Oulu, Oulu, FinlandNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, United StatesNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranDeputy of Health, Ministry of Health and Medical Education, Tehran, IranDeputy of Research and Technology, Ministry of Health and Medical Education, Tehran, IranNon-communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, IranEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, IranBackgroundInsufficient physical activity (IPA) is a significant risk factor for various non-communicable diseases. The Iran action plan is a 20% reduction in IPA. Therefore, we aimed to describe the age and sex pattern of physical activity domains, IPA, the intensity of physical activity, sedentary behavior, and their associates at Iran's national and provincial levels in 2021.MethodsThis study used the data of the STEPwise Approach to NCD Risk Factor Surveillance (STEPS) 2021 in Iran. The STEPS study used the Global Physical Activity Questionnaire (GPAQ) version two developed by WHO for the assessment of physical activity, which included work, transport, and recreational activities domains. We showed and compared demographic and clinical characteristics of participants between males and females, using t-test and Chi-square test. A logistic regression model adjusted for residential areas, years of schooling, wealth index, age, marital status, and occupation has also been implemented. The results were presented as percentages and 95% confidence intervals (CI).ResultsWe included 27,874 participants with a mean (SD) age of 45.69 (15.91), among whom 12,479 (44.77%) were male. The mean prevalence of IPA for the whole population for all ages was 51.3% (50.62–51.98%). By sex, 41.93% (40.88–42.98%) and 57.87% (56.99–58.75%) of men and women had IPA, respectively. According to the physical activity domains, the age-standardized prevalence of no recreational activity was 79.40% (78.80–79.99%), no activity at work was 66.66% (65.99–67.32%), and no activity at transport was 49.40% (48.68–50.11%) for both sexes combined. Also, the overall age-standardized prevalence of sedentary behaviors was 50.82% (50.11–51.53%). Yazd province represented the highest prevalence of IPA (63.45%), while West Azerbaijan province represented the lowest prevalence (39.53%). Among both sexes, living in the urban area vs. rural area [adjusted OR: 1.44; (1.31–1.58)], married vs. single status [adjusted OR: 1.33; (1.16–1.53)], and wealth index of class 3 vs. class 1 [adjusted OR: 1.15; (1.01–1.30)] were significantly associated with a higher rate of IPA.ConclusionThe prevalence of IPA was considerably high in Iran. To achieve the predefined goal of reducing IPA, the health system should prioritize increasing physical activity, especially in urban areas and among females.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1036219/fullphysical activitySTEPwise approach to risk factor surveillancesedentary behaviorIrancross sectional analysis |
spellingShingle | Seyed Aria Nejadghaderi Seyed Aria Nejadghaderi Naser Ahmadi Mohammad-Mahdi Rashidi Ali Ghanbari Maryam Noori Maryam Noori Mohsen Abbasi-Kangevari Maryam Nasserinejad Maryam Nasserinejad Negar Rezaei Negar Rezaei Moein Yoosefi Nima Fattahi Nima Fattahi Erfan Ghasemi Yosef Farzi Yosef Farzi Elham Abdolhamidi Mahbobeh Darman Shirin Djalalinia Farshad Farzadfar Farshad Farzadfar Physical activity pattern in Iran: Findings from STEPS 2021 Frontiers in Public Health physical activity STEPwise approach to risk factor surveillance sedentary behavior Iran cross sectional analysis |
title | Physical activity pattern in Iran: Findings from STEPS 2021 |
title_full | Physical activity pattern in Iran: Findings from STEPS 2021 |
title_fullStr | Physical activity pattern in Iran: Findings from STEPS 2021 |
title_full_unstemmed | Physical activity pattern in Iran: Findings from STEPS 2021 |
title_short | Physical activity pattern in Iran: Findings from STEPS 2021 |
title_sort | physical activity pattern in iran findings from steps 2021 |
topic | physical activity STEPwise approach to risk factor surveillance sedentary behavior Iran cross sectional analysis |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1036219/full |
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