São Paulo State University (UNESP), Presidente Prudente, Brazil.
São Paulo State University (UNESP), Presidente Prudente, Brazil.
Diabetes Res Clin Pract. 2020 Jul;165:108224. doi: 10.1016/j.diabres.2020.108224. Epub 2020 May 28.
The aim of this study was to analyze the association between longitudinal physical activity patterns (persistently inactive, became active, became inactive, and persistently active) and the incidence of Metabolic Syndrome (MS) among adults.
Our cohort included 5766 adults (18-59y) undergoing repeated routine health screening examinations, with a mean follow-up period of three years. Only subjects without MS at baseline were included in the study. MS was defined according to the ATP III definition, including assessments of fasting blood samples for the collection of HDL-C, triglycerides and glucose, blood pressure, and waist circumference. Physical activity was estimated using the international physical activity questionnaire and four patterns were created (persistently active, became active, became inactive, and persistently inactive). Information on tobacco smoking and alcohol consumption (through structured validated questionnaires), age, interval between baseline and follow-up, anti-hypertensive drugs, statin, anti-diabetic drugs were used as covariates. Logistic regression was conducted.
The mean age of participants at baseline was 41.6 ± 7.9 years. We identified 1701 subjects who were active at both moments, 1246 who became active, 709 who became inactive, and 2210 who were inactive at both moments. Persistently inactive subjects presented a higher incidence of MS [10.4% (95%CI = 9.2-11.8%)]. In the adjusted logistic regression analyses, subjects that became active [OR = 0.55(95%CI = 0.40-0.74)] and persistently active [OR = 0.35(95%CI = 0.26-0.46)] were less likely to develop MS when compared with persistently inactive subjects.
Persistently active subjects demonstrated the lowest likelihood of developing MS, while subjects who became active presented an attenuated risk.
本研究旨在分析成年人纵向体力活动模式（持续不活跃、变得活跃、变得不活跃和持续活跃）与代谢综合征（MS）发病率之间的关联。
我们的队列包括 5766 名接受重复常规健康筛查检查的成年人（18-59 岁），平均随访期为三年。仅将基线时无 MS 的受试者纳入研究。根据 ATP III 定义定义 MS，包括评估空腹血样以收集高密度脂蛋白胆固醇、甘油三酯和葡萄糖、血压和腰围。使用国际体力活动问卷估计体力活动，并创建了 4 种模式（持续活跃、变得活跃、变得不活跃和持续不活跃）。使用吸烟和饮酒（通过结构化验证问卷）、年龄、基线和随访之间的间隔、抗高血压药物、他汀类药物、抗糖尿病药物的信息作为协变量。进行逻辑回归。
参与者基线时的平均年龄为 41.6 ± 7.9 岁。我们确定了 1701 名在两个时间点都活跃的受试者、1246 名变得活跃的受试者、709 名变得不活跃的受试者和 2210 名在两个时间点都不活跃的受试者。持续不活跃的受试者发生 MS 的发生率较高[10.4%（95%CI=9.2-11.8%）]。在调整后的逻辑回归分析中，与持续不活跃的受试者相比，变得活跃的受试者[OR=0.55（95%CI=0.40-0.74）]和持续活跃的受试者[OR=0.35（95%CI=0.26-0.46）]发生 MS 的可能性较低。
持续活跃的受试者发生 MS 的可能性最低，而变得活跃的受试者发生 MS 的风险降低。
