MSc. Doctoral Student, Department of Physical Education, Universidade Federal de Santa Catarina (UFSC), Florianópolis (SC), Brazil.
Master's Student, Department of Physical Education, Universidade Federal de Santa Catarina (UFSC), Florianópolis (SC), Brazil.
Sao Paulo Med J. 2021 Jul-Aug;139(4):372-379. doi: 10.1590/1516-3180.2020.0504.R1.1802021.
Associations between behaviors and individual chronic diseases have been demonstrated. However, the relationship between time spent on sedentary behavior and multimorbidity remains less clear.
To identify the predictive power of various intensities of physical activity versus sedentary behavior, as discriminatory factors for cardiometabolic multimorbidity (cardiovascular diseases and diabetes) in the elderly.
Cross-sectional study in different residential census tracts and residential households in Florianópolis (SC).
The participants were 425 elderly people (65% women) from the EpiFloripa Aging study in 2014. Sociodemographic variables and self-reported incidence of cardiovascular diseases and diabetes were obtained via a questionnaire. Light physical activity (LPA), moderate-to-vigorous physical activity (MVPA) and sedentary behavior (SB) were measured using accelerometers. The analyses were stratified according to sex and included a diagnosis for interpretation. Behaviors were taken into consideration if their predictive power in terms of area under the receiver operating characteristic (ROC) curve was greater than 0.50. The time cutoff point was defined from sensitivity and specificity.
For older adult men with diabetes, the predictive value of MVPA for absence of multi-morbidity was an area of 0.75 (95% confidence interval, CI: 0.538-0.962), and a cutoff of 17 minutes per day. Older adult women with diabetes had an area of 0.71 (95% CI: 0.524-0.866) and a cutoff of 10 minutes per day. LPA and SB did not present predictive values.
The time spent on MVPA is a predictor of absence of multimorbidity in elderly people with diabetes, for both sexes.
行为与个体慢性病之间存在关联。然而，久坐行为与多种疾病之间的关系仍不明确。
确定不同强度的体力活动与久坐行为作为区分老年人心血管代谢性多种疾病（心血管疾病和糖尿病）的预测因子的能力。
弗洛里亚诺波利斯（巴西圣卡塔琳娜州首府）不同住宅普查区和住宅家庭的横断面研究。
2014 年，共有 425 名老年人（65%为女性）参加了 EpiFloripa 老龄化研究。通过问卷获得社会人口统计学变量和心血管疾病及糖尿病的自我报告发病情况。使用加速度计测量低强度体力活动（LPA）、中等到剧烈体力活动（MVPA）和久坐行为（SB）。根据性别进行分层分析，并包括诊断解释。如果行为的接收者操作特征（ROC）曲线下面积（AUC）预测值大于 0.50，则考虑该行为。时间截止点由灵敏度和特异性定义。
对于患有糖尿病的老年男性，MVPA 对无多种疾病的预测价值为 0.75（95%置信区间：0.538-0.962），截止值为每天 17 分钟。患有糖尿病的老年女性的 AUC 为 0.71（95%置信区间：0.524-0.866），截止值为每天 10 分钟。LPA 和 SB 没有表现出预测价值。
对于患有糖尿病的老年男女，MVPA 所花费的时间是无多种疾病的预测因子。
