Nutrition Research Center, Department of Public Health, School of Health, Shiraz University of Medical Sciences, Shiraz, P. Code:7153675541, Iran.
Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
BMC Public Health. 2022 Jul 22;22(1):1400. doi: 10.1186/s12889-022-13797-3.
The COVID-19 pandemic restrictions curtailed physical activity. The current study applied an integrated Theory of Planned Behavior to identify the determinants of physical activity behavior and the processes involved in the COVID-19 pandemic.
A cross-sectional study was conducted in Shiraz city, Southern Iran, among 2500 people who met the inclusion criteria were included in the study. Data were collected using the demographic information questions and questionnaire based on the Theory of Planned Behavior (TPB) constructs. The Questionnaire via WhatsApp, emails, and SMS was shared. Data analysis was performed using SPSS26 and Amos version 24. Mean and standard deviation was used to describe the data. Also, one-way ANOVA and structural equation analysis were used to analyze the data. The significance level in all the tests was considered to be 0.05.
One thousand one hundred sixty-nine samples (46.8%) said they had been exercising less than 3 days a week, and 47.6% of them did not have any exercise or physical activities (n = 1191). The mean score of attitudes, SN, PBC, and intention were 9.38 ± 2.07, 9.27 ± 2.03, 9.32 ± 2.05, and 12.29 ± 2.35, respectively. The effect size values demonstrate the independent variables' high coefficient of influence on explaining the theoretical model. According to the results, the factors play an important role in samples' intention (η ≥ 0.2, p ≤ 0.05). The effect size of intention on doing physical activities and exercise during the SARS-CoV-2 pandemic is Eta square = 0.777, which means the measure was high. The obtained model was good based on the main goodness of fit indices (Chi2 = 108.6, df = 25, n = 2500, Chi2/df = 4.344, RMSEA = 0.036, AGFI = 0.92, CFI = 0.95, GFI = 0.90, Fornell-Larcker criterion = 0.87, HTMT = 0.89).
The TPB provides a useful framework to explore psychosocial determinants of physical activity behavior during the pandemic and identify key strategies for program planning aimed at improving exercise among people who were already influenced by quarantine and lockdown restrictions.
COVID-19 大流行限制了身体活动。本研究应用综合计划行为理论来确定身体活动行为的决定因素以及 COVID-19 大流行期间涉及的过程。
在伊朗南部设拉子市进行了一项横断面研究,共纳入 2500 名符合纳入标准的参与者。数据收集使用基于计划行为理论(TPB)结构的人口统计学信息问题和问卷。通过 WhatsApp、电子邮件和短信共享问卷。使用 SPSS26 和 Amos 版本 24 进行数据分析。使用均值和标准差来描述数据。还使用单向方差分析和结构方程分析来分析数据。所有检验的显著性水平均设为 0.05。
1169 名样本(46.8%)表示他们每周锻炼少于 3 天,其中 47.6%的人没有任何运动或体育活动(n=1191)。态度、SN、PBC 和意图的平均得分为 9.38±2.07、9.27±2.03、9.32±2.05 和 12.29±2.35。效应量值表明自变量对解释理论模型具有较高的影响系数。根据结果,这些因素在样本的意图中起着重要作用(η≥0.2,p≤0.05)。意图对 SARS-CoV-2 大流行期间进行身体活动和锻炼的影响大小为 Eta 平方=0.777,这意味着该措施是有效的。根据主要拟合度指标,获得的模型是良好的(Chi2=108.6,df=25,n=2500,Chi2/df=4.344,RMSEA=0.036,AGFI=0.92,CFI=0.95,GFI=0.90,Fornell-Larcker 标准=0.87,HTMT=0.89)。
TPB 提供了一个有用的框架,可以探索大流行期间身体活动行为的心理社会决定因素,并确定旨在改善已受检疫和封锁限制影响的人群锻炼的计划规划的关键策略。