广西医学

目的了解肺癌疼痛患者疼痛灾难化现状，并分析其影响因素。方法选取334例肺癌疼痛患者作为研究对象。使用一般资料调查表、疼痛数字评定量表（NRS）、疼痛灾难化量表（PCS）、健康相关坚韧人格量表（HRHS）和医学应对方式问卷（MCMQ）对患者进行调查。采用Spearman相关分析法分析肺癌疼痛患者PCS得分与疼痛NRS得分、HRHS得分和MCMQ得分的相关性；采用单因素分析和多元线性回归模型分析肺癌疼痛患者PCS总分的影响因素。结果 334例肺癌疼痛患者的PCS总分为34.00（20.00，39.00）分，肺癌疼痛患者疼痛灾难化发生率为35.3%。Spearman相关分析结果显示，肺癌疼痛患者的HRHS总分及其承诺、控制、挑战3个维度得分，MCMQ中的面对维度得分分别与PCS总分及其各维度得分呈负相关（P＜0.05），疼痛NRS得分、MCMQ总分及其屈服和回避维度得分分别与PCS总分及其各维度得分呈正相关（P＜0.05）。单因素分析结果显示，不同性别、年龄、文化程度、婚姻状况、家庭人均月收入、疼痛持续时间、治疗方式，以及肿瘤复发或转移情况、并发症情况的肺癌疼痛患者的PCS得分差异具有统计学意义（P＜0.05）。多元线性回归分析结果显示，年龄、文化程度、疼痛NRS得分、HRHS总分及MCMQ中的面对维度得分、回避维度得分、屈服维度得分是肺癌疼痛患者PCS总分的影响因素（P＜0.05）。结论肺癌疼痛患者疼痛灾难化水平较高，其中年龄、文化程度、疼痛程度、人格坚韧性、应对方式是其影响因素。

ObjectiveTo understand the current status of pain catastrophizing in patients with lung cancer pain, and to analyze its influencing factors. MethodsA total of 334 patients with lung cancer pain were selected as the research subjects. Investigation was performed on patients by using the general information questionnaire, Numeric Rating Scale (NRS) for pain, Pain Catastrophizing Scale (PCS), Health-Related Hardiness Scale (HRHS), and Medical Coping Modes Questionnaire (MCMQ). The Spearman correlation analysis method was used to analyze the correlation of PCS score with NRS score for pain, HRHS score, and MCMQ score in patients with lung cancer pain. The univariate analysis and multiple linear regression model was used to analyze the influencing factors for PCS total score in patients with lung cancer pain. ResultsThe total score of PCS in 334 patients with lung cancer pain was 34.00 (20.00, 39.00), and the incidence rate of pain catastrophizing was 35.3% in patients with lung cancer pain. The results of Spearman correlation analysis indicated that HRHS total score and three dimensions scores of commitment, control, and challenge of HRHS, as well as confront dimension score of MCMQ of patients with lung cancer pain negatively correlated with PCS total score and various dimensions scores of PCS in patients with lung cancer pain, respectively (P＜0.05); furthermore, NRS score for pain, MCMQ total score and yield and avoid dimensions scores of MCMQ positively correlated with PCS total score and various dimensions scores of PCS (P＜0.05),respectively. The results of univariate analysis indicated that there was a statistically significant difference in PCS score between lung cancer pain patients with different genders, ages, educational levels, marital status, per capita monthly household income, pain duration, therapeutic methods, recurrence and metastasis of tumor, and complications (P＜0.05). The results of multiple linear regression analysis presented that age, educational level, NRS score for pain, HRHS total score, and confront dimension score, avoid dimension score, and yield dimension score of MCMQ were the influencing factors for PCS total score of patients with lung cancer pain (P＜0.05). ConclusionPatients with lung cancer pain obtain a relatively high level of pain catastrophizing, therein age, educational level, pain degree, personally toughness, and coping mode are its influencing factors.