医学
健康
人口
物理疗法
心率变异性
感知压力量表
可视模拟标度
观察研究
可穿戴技术
物理医学与康复
心率
可穿戴计算机
压力(语言学)
血压
内科学
精神科
心理干预
计算机科学
环境卫生
嵌入式系统
语言学
哲学
作者
Dogukan Baran Gungormus,Francisco M. García-Moreno,María Bermudez-Edo,Laura Sánchez-Bermejo,José Luis García Garrido,María José Rodríguez-Fórtiz,José Manuel Pérez-Mármol
标识
DOI:10.1016/j.ijmedinf.2024.105371
摘要
Mobile health systems integrating wearable devices are emerging as promising tools for registering pain-related factors. However, their application in populations with chronic conditions has been underexplored.To design a semi-automatic mobile health system with wearable devices for evaluating the potential predictive relationship of pain qualities and thresholds with heart rate variability, skin conductance, perceived stress, and stress vulnerability in individuals with preclinical chronic pain conditions such as suspected rheumatic disease.A multicenter, observational, cross-sectional study was conducted with 67 elderly participants. Predicted variables were pain qualities and pain thresholds, assessed with the McGill Pain Questionnaire and a pressure algometer, respectively. Predictor variables were heart rate variability, skin conductance, perceived stress, and stress vulnerability. Multiple linear regression analyses were conducted to examine the influence of the predictor variables on the pain dimensions.The multiple linear regression analysis revealed that the predictor variables significantly accounted for 27% of the variability in the affective domain, 14% in the miscellaneous domain, 15% in the total pain rating index, 10% in the number of words chosen, 14% in the present pain intensity, and 16% in the Visual Analog Scale scores.The study found significant predictive values of heart rate variability, skin conductance, perceived stress, and stress vulnerability in relation to pain qualities and thresholds in the elderly population with suspected rheumatic disease. The comprehensive integration of physiological and psychological stress measures into pain assessment of elderly individuals with preclinical chronic pain conditions could be promising for developing new preventive strategies.
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