通过生态瞬间评估,研究情绪变化和身体活动之间的日间关联
Bridgette Do1, Donald Hedeker2, Wei-Lin Wang1
1Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Psychology of sport and exercise
|October 7, 2023
概括
幸福等积极情绪的每日波动与增加的体力活动有关,而悲伤等负面情绪的变化与活动减少有关. 了解这些情感变化模式可以为体育活动干预提供信息.
科学领域:
- 健康行为研究 研究健康行为研究
- 心理学 心理学 心理学
- 运动科学 运动科学
背景情况:
- 情绪的变化,或时刻的情绪波动,可能会阻碍目标导向的行为,如身体活动.
- 以前的研究表明,更高的特征水平的情感变化与较低的身体活动水平相关.
- 日常情绪变化和当天体育活动之间的关联仍然未得到充分研究.
研究的目的:
- 调查情绪变化和身体活动之间的日间关联.
- 探索不同类型的影响 (积极激活,积极失活,消极激活,消极失活) 的波动如何与同一天内的身体活动有关.
主要方法:
- 利用了231名年轻成年人三个月的生态瞬间评估 (EMA) 和智能手表数据.
- 收集每小时一次的EMA调查,评估瞬间影响和持续体育活动数据.
- 采用混合效应位置尺度建模来分析日一级的关联,控制共变量.
主要成果:
- 积极激活的情感 (快乐,充满活力) 的日间水平变化增加与更高的体力活动有关.
- 负面消灭的情绪 (悲伤,疲劳) 的日间变化增加与较低的体力活动有关.
- 对于正消活或负激活影响的变异性,没有发现显著的关联.
结论:
- 在悲伤和疲劳中,在情绪不稳定的日子里,个人往往不那么活跃.
- 相反,快乐和能量更大的变化与增加的体力活动有关.
- 研究结果强调了在体育活动干预中考虑日常生活中的动态情感过程的重要性.
相关概念视频
01:17Factors Affecting Activity Coefficient
814
The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size.
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
814
00:56Noncompartmental Analysis: Statistical Moment Theory
116
Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...
116
01:30Factors Influencing Heart Rate
2.7K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
2.7K
01:18Factors Affecting Illness
4.3K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
4.3K
01:11Variability: Analysis
148
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
148
01:25Correlation between ECG and Cardiac Cycle
6.2K
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
6.2K