Back Flávio Augustino, Hino Adriano Akira Ferreira, Bojarski Wilynson Gomes, Aurélio João Manoel Gonçalves, de Castro Moreno Cláudia Roberta, Louzada Fernando Mazzilli
Human Chronobiology Laboratory, Department of Physiology, Federal University of Paraná, Curitiba, Paraná Brazil.
Physiology, Universidade Federal do Parana Setor de Ciencias Biologicas, Av. Cel. Francisco H. dos Santos, s/n, Curitiba, 81531-980 Brazil.
Sport Sci Health. 2023;19(1):309-319. doi: 10.1007/s11332-022-00963-8. Epub 2022 Jun 20.
Eveningness preference to sleep/wake and perform physical/cognitive activities has been associated with worse health outcomes, when compared to morningness preference. Physical activity is one potential mediator that could explain this relationship; however, most of these evidences come from cross-sectional design studies. Our goal was to assess whether chronotype could predict the risk of dropout of physical exercise programs.
We followed 153 newly enrolled volunteers at three different gyms, from both sexes, aged between 18 and 65 years, during 12 weeks. The daily frequency of exercises in the programs was objectively measured (gym's electronic turnstiles). Using questionnaires, we collected data of variables related to demographic characteristics, health, physical activity, sleep, anthropometric and chronobiological parameters (Morningness-Eveningness Questionnaire-MEQ). Two multivariate models were created using Cox regression analysis to test the risk of dropout of physical exercise practice. Both models accounted for age, educational level, civil status, membership plan duration, physical exercise practice frequency during week 1 and chronotype (MEQ score and chronotypes).
Model 1 results showed that higher MEQ score was associated with a lower chance of quitting the program (HR = 0.98; CI95% 0.95-1.00; = 0.046). Considering the chronotypes, E-types showed the highest dropout risk compared to that of M-types (HR = 2.22; CI95% 1.09-4.52; = 0.027).
Our results suggest that chronotype is another variable to be considered in future studies on promoting PAs in formal environments. Likewise, the practice frequency during week 1 and duration of membership plan also deserve more attention in additional studies.
与晨型偏好相比,晚睡偏好于睡眠/觉醒以及进行身体/认知活动与更差的健康结果相关。体育活动是一个可以解释这种关系的潜在中介因素;然而,这些证据大多来自横断面设计研究。我们的目标是评估昼夜节律类型是否可以预测体育锻炼计划的退出风险。
我们在12周内对来自三个不同健身房的153名新招募的志愿者进行了跟踪,志愿者年龄在18至65岁之间,男女皆有。客观测量了计划中每日的锻炼频率(健身房的电子旋转门)。通过问卷调查,我们收集了与人口统计学特征、健康状况、体育活动、睡眠、人体测量和生物钟参数相关的数据(晨型-夜型问卷-MEQ)。使用Cox回归分析创建了两个多变量模型,以测试体育锻炼实践的退出风险。两个模型都考虑了年龄、教育水平、婚姻状况、会员计划持续时间、第1周的体育锻炼实践频率和昼夜节律类型(MEQ分数和昼夜节律类型)。
模型1的结果表明,较高的MEQ分数与较低的退出计划几率相关(风险比=0.98;95%置信区间0.95-1.00;P=0.046)。考虑到昼夜节律类型,与M型相比,E型显示出最高的退出风险(风险比=2.22;95%置信区间1.09-4.52;P=0.027)。
我们的结果表明,在未来关于在正式环境中促进体育活动的研究中,昼夜节律类型是另一个需要考虑的变量。同样,第1周的锻炼频率和会员计划的持续时间在其他研究中也值得更多关注。