Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Colorectal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Clin Nutr ESPEN. 2023 Aug;56:173-179. doi: 10.1016/j.clnesp.2023.05.014. Epub 2023 May 25.
BACKGROUND & AIM: Lifestyle changes, prominently low mobility in recent years, have increased the prevalence of metabolic syndrome (MetS), and cardiovascular disease risk. This study aimed to determine the relationship between physical activity and MetS using modern statistical methods in a population-based study.
The target population included 10,663 people aged 40-70 years in phase 1 of the Persian Kharameh cohort study conducted in 2017. The data used in this study had questions about physical activity, demographic, anthropometrics, blood pressure, and biochemical data.
Participants who their activity was within the fourth quarter were 36% less likely to develop MetS than the participants in the first quarter. In the decision-Tree algorithm with all variables, physical activity was significant after gender and comorbidity. With a lack of comorbidities and physical activity less than 2338 Metabolic Equivalent of Task (MET) and age greater than 53 years, the probability was 26.7% for the male population. For the female population, if associated with comorbidities, a history of diabetes in first-degree relatives, or both, the chance of developing MetS was estimated to be 70.4%. In the decision-tree algorithm, 56.0% of the predictions for MetS were due to gender. After gender, the presence of comorbidities, age, occupation, family history of diabetes, place of residence, and physical activity was discovered as the essential variables in predicting and identifying factors associated with MetS, respectively.
Modern statistical methods can be used in similar research due to better presentation of results in applied clinical laws. An essential approach for treating the syndrome and preventing its complications is a lifestyle change, including educating about physical activity and promoting it.
近年来，生活方式的改变，尤其是低活动度，增加了代谢综合征（MetS）和心血管疾病风险的流行率。本研究旨在通过基于人群的研究中使用现代统计方法来确定身体活动与 MetS 的关系。
目标人群包括 2017 年进行的波斯 Kharameh 队列研究第一阶段的 10663 名年龄在 40-70 岁的人群。本研究使用的数据包含有关身体活动、人口统计学、人体测量学、血压和生化数据的问题。
与活动处于第一季度的参与者相比，活动处于第四季度的参与者发生 MetS 的可能性低 36%。在包含所有变量的决策树算法中，在性别和合并症之后，身体活动具有统计学意义。在没有合并症且身体活动少于 2338 代谢当量任务（MET）和年龄大于 53 岁的情况下，男性人群的概率为 26.7%。对于女性人群，如果与合并症、一级亲属的糖尿病史或两者同时存在，则发生 MetS 的几率估计为 70.4%。在决策树算法中，MetS 预测的 56.0%归因于性别。在性别之后，发现合并症、年龄、职业、糖尿病家族史、居住地和身体活动的存在是预测和识别与 MetS 相关因素的重要变量。
由于现代统计方法在应用临床规律方面能更好地呈现结果，因此可以在类似的研究中使用。改变生活方式，包括进行身体活动教育和促进身体活动，是治疗该综合征和预防其并发症的重要方法。
