Denche-Zamorano Angel, Collado-Mateo Daniel, Franco-Garcia Juan Manuel, Adsuar José Carmelo, Salas-Gómez Diana
Promoting a Healthy Society Research Group (PHeSO), Faculty of Sports Sciences, University of Extremadura, 10003 Cáceres, Spain.
Centre for Sport Studies, Rey Juan Carlos University, 28943 Madrid, Spain.
Healthcare (Basel). 2025 May 17;13(10):1171. doi: 10.3390/healthcare13101171.
BACKGROUND/OBJECTIVES: Quality of life (QoL) is negatively affected in people with all-over pain. Widespread pain has a negative impact on physical function, cognitive function, mental health and mood. Physical activity (PA) may help to improve the QoL in these people. This study aimed to assess the relationships between PA frequency (PAF) and QoL in middle-aged and older European people with all-over pain, in addition to developing and analyzing the performance of a classification and regression tree model (CRT) to predict QoL in this population.
A cross-sectional study of 1025 middle-aged and older European individuals with all-over pain. Relationships between moderate and vigorous PAF and QoL were assessed. A predictive algorithm for QoL was developed using CRT analysis. A cross-validation study was conducted to assess the performance of the model. In addition, a multivariate linear regression model was developed to predict QoL and compare its performance with the CRT model.
Higher PAF and higher QoL were found to be related ( < 0.001). Specifically, the CRT found that depression, poor perceived health, and moderate physical activity once a week, rarely or never were the combinations of variables that predicted lower quality of life scores. Conversely, not having depression and performing moderate physical activity more than once a week predicted higher quality of life scores. The linear regression model performed better than the CRT model (R = 38% vs. R = 30%), and both identified depression, SPH, moderate PAF and education level as main predictors of QoL.
PA on a regular basis could improve the QoL of people with all-over pain. Depressive symptoms, self-perceived health, PAF and educational level are predictors of QoL in this population. Our findings provide useful information for assessing QoL in people with all-over pain, offering an easy-to-interpret visual model with similar accuracy to traditional models.
背景/目的：全身疼痛患者的生活质量（QoL）受到负面影响。广泛性疼痛对身体功能、认知功能、心理健康和情绪都有负面影响。体育活动（PA）可能有助于改善这些人的生活质量。本研究旨在评估欧洲中老年全身疼痛患者的体育活动频率（PAF）与生活质量之间的关系，此外还开发并分析了一种分类回归树模型（CRT）来预测该人群的生活质量。
对1025名欧洲中老年全身疼痛个体进行横断面研究。评估中度和剧烈PAF与生活质量之间的关系。使用CRT分析开发了一种生活质量预测算法。进行了一项交叉验证研究以评估模型的性能。此外，还开发了一个多元线性回归模型来预测生活质量并将其性能与CRT模型进行比较。
发现较高的PAF与较高的生活质量相关（<0.001）。具体而言，CRT发现抑郁、健康状况不佳以及每周进行一次中度体育活动、很少或从不进行体育活动是预测生活质量得分较低的变量组合。相反，没有抑郁且每周进行一次以上中度体育活动预测生活质量得分较高。线性回归模型的表现优于CRT模型（R = 38%对R = 30%），并且两者都将抑郁、自我感知健康、中度PAF和教育水平确定为生活质量的主要预测因素。
定期进行体育活动可以改善全身疼痛患者的生活质量。抑郁症状、自我感知健康、PAF和教育水平是该人群生活质量的预测因素。我们的研究结果为评估全身疼痛患者的生活质量提供了有用信息，提供了一个易于解释的视觉模型，其准确性与传统模型相似。
