Biological and psychological predictors of heart rate patterns during physical activity.

Biological and psychological predictors of heart rate patterns during physical activity.
复制标题

身体活动期间心率模式的生物和心理预测因素。

DOI:
10.1016/j.psychsport.2022.102346
复制
发表时间:
2023
影响因子:
3.4
通讯作者:
Bock,BethC
Bock,BethC
中科院分区:
医学2区
文献类型:
--
作者:
Kaplan,DeannaM;Palitsky,Roman;Dunsiger,ShiraI;Wu,Wen-Chih;Parker,AmiraG;Troubh,JessicaK;Whitworth,JamesW;Bock,BethC

文献摘要

相似文献

潜在类别建模(LCM)提供了一种很有前途的方法,用于检查多个锻炼过程中心率(HR)模式的相关性。本研究探讨了生物和心理变量与不同模式的HR响应体力活动(PA)。MethodsIn三臂随机对照试验(运动视频游戏与标准运动与非运动控制),HR记录在PA会议超过12周的时间。LCM在活性组的189名受试者中确定了PA期间的三种HR模式:1)各阶段的HR高,各阶段内的变异性低,2)各阶段的HR线性增加,各阶段内的变异性低,3)所有阶段的HR变异性高。协会与生物(静息心率,血压,BMI,年龄,胆固醇,甘油三酯,HbA1c)和心理(抑郁,动机PA,PA引起的感情)预测的潜在类membership.ResultsPsychological变量发挥了重要的作用,在最终的模型作为生物变量预测潜在类成员。LC1和LC2之间几乎没有差异,但LC3与其他两组的不同之处在于参与者更有可能报告他们在PA后感到充满活力(与LC1和LC2相比),PA的动机较低(与LC 1相比),报告抑郁程度更高(相对于LC 1和LC 2),更年轻结论这些发现表明LCM有潜力识别与PA变时性反应相关的生物学和心理学因素,并进一步了解心理因素在变时性PA结局中的作用。
ObjectiveLatent class modeling (LCM) offers a promising approach for examining correlates of heart rate (HR) patterns over multiple exercise sessions. This research examined biological and psychological variables associated with different patterns of HR response to physical activity (PA).MethodsIn a three-arm randomized controlled trial (exercise video games vs. standard exercise vs. non-exercise control), HR was recorded during PA sessions over a 12-week period. LCM identified three patterns of HR during PA across 189 participants in active arms: 1) high HR across sessions with low variability within sessions, 2) linear increase in HR across sessions with low variability within sessions, and 3) high variability in HR across all sessions. Associations with biological (resting heart rate, blood pressure, BMI, age, cholesterol, triglycerides, HbA1c) and psychological (depression, motivations for PA, PA-induced feelings) predictors of latent class membership were iteratively tested.ResultsPsychological variables played as important a role in the final model as biological variables for predicting latent class membership. Few differences were found between LC1 and LC2, but LC3 differed from the other two groups in that participants were likelier to report that they feel revitalized after PA (vs. LC1 and LC2), to be less motivated for PA (vs. LC1), reported greater depression (vs. LC1 and LC2), and were younger (vs. LC1).ConclusionsThese findings demonstrate the potential of LCM to identify biological and psychological factors associated with chronotropic responses to PA, and advance understanding of the role of psychological factors in chronotropic PA outcomes.