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灾难化在慢性周期性盆腔痛中的作用:系统评价和荟萃分析。

The role of catastrophizing in chronic cyclical pelvic pain: A systematic review and meta-analysis.

机构信息

Department of Psychological Sciences, Kent State University, Kent, OH, USA.

Northeast Ohio Medical University, Rootstown, OH, USA.

出版信息

Womens Health (Lond). 2023 Jan-Dec;19:17455057231199949. doi: 10.1177/17455057231199949.

DOI:10.1177/17455057231199949
PMID:37752879
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10524082/
Abstract

BACKGROUND

Dysmenorrhea (painful menstrual cramps) is one of the most common gynecological complaints in women and girls. Dysmenorrhea may be a condition itself or a result of another medical condition, including endometriosis and chronic pelvic pain. Research examining the relationship between menstrual pain ratings and catastrophizing has produced mixed results.

OBJECTIVE

To review and meta-analyze the relationship between catastrophizing and pain ratings of chronic cyclical pelvic pain.

DESIGN

Cross-sectional, longitudinal, and intervention studies that reported the relationship between menstrual/pelvic pain and catastrophizing were included. Study populations had to include healthy menstruating persons or persons with a condition associated with cyclical pelvic pain including primary dysmenorrhea, endometriosis, and/or chronic pelvic pain.

DATA SOURCES AND METHODS

A systematic search of articles published since 2012 on PubMed, PsychInfo, CINHAL, and Medline was conducted in January and rerun in November of 2022. Search terms included cyclical pelvic pain, dysmenorrhea, endometriosis, pelvic pain, and catastrophizing. Data extraction was completed independently by two extractors and cross-checked for errors. A random-effects meta-regression was used to synthesize the data using restricted maximum likelihood.

RESULTS

Twenty-five studies examining 4,540 participants were included. A random effects model found a meta-correlation between catastrophizing and pain of  = .31 (95% confidence interval: .23-.40)  < .001. Heterogeneity was large and significant ( = 84.5%, (24) = 155.16,  < .001). Studies that measured general pelvic pain rather than cyclical pelvic pain specifically and those that used multi-item rather than single-item measures of pain had significantly higher correlations. Age and depression did not moderate the relationship between catastrophizing and pain.

CONCLUSION

A systematic review and meta-analysis found that catastrophizing had a small but significant positive association with pain ratings. Patients experiencing cyclical pelvic pain may benefit from interventions targeting the psychological management of pain.

REGISTRATION

This meta-analysis was registered in PROSPERO on 14 January 2022. Registration number: CRD42022295328.

摘要

背景

痛经(经期腹痛)是女性和女孩最常见的妇科疾病之一。痛经可能是一种病症,也可能是子宫内膜异位症和慢性盆腔疼痛等其他疾病的结果。研究检查月经疼痛评分与灾难化之间的关系得出的结果喜忧参半。

目的

综述和荟萃分析慢性周期性盆腔疼痛的灾难化与疼痛评分之间的关系。

设计

纳入了报告月经/盆腔疼痛与灾难化之间关系的横断面、纵向和干预性研究。研究人群必须包括健康的经期女性或患有与周期性盆腔疼痛相关的疾病的人群,包括原发性痛经、子宫内膜异位症和/或慢性盆腔疼痛。

数据来源和方法

于 2022 年 1 月和 11 月对 PubMed、PsychInfo、CINHAL 和 Medline 上自 2012 年以来发表的文章进行了系统检索。检索词包括周期性盆腔疼痛、痛经、子宫内膜异位症、盆腔疼痛和灾难化。数据提取由两名提取人员独立完成,并交叉检查错误。使用受限最大似然法进行随机效应荟萃回归分析以综合数据。

结果

纳入了 25 项研究,共纳入 4540 名参与者。随机效应模型发现灾难化与疼痛之间的元相关系数为 = .31(95%置信区间:.23-.40)<.001。异质性很大且具有统计学意义( = 84.5%,(24)= 155.16,<.001)。测量一般盆腔疼痛而非特定周期性盆腔疼痛的研究,以及使用多项目而非单项疼痛测量的研究,相关性更高。年龄和抑郁并未调节灾难化与疼痛之间的关系。

结论

系统回顾和荟萃分析发现,灾难化与疼痛评分呈轻度但显著正相关。患有周期性盆腔疼痛的患者可能受益于针对疼痛心理管理的干预措施。

注册

本荟萃分析于 2022 年 1 月 14 日在 PROSPERO 上注册。注册号:CRD42022295328。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85d7/10524082/3674f714e717/10.1177_17455057231199949-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85d7/10524082/d816fa6b597e/10.1177_17455057231199949-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85d7/10524082/ab9bafa74716/10.1177_17455057231199949-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85d7/10524082/3674f714e717/10.1177_17455057231199949-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85d7/10524082/d816fa6b597e/10.1177_17455057231199949-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85d7/10524082/ab9bafa74716/10.1177_17455057231199949-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85d7/10524082/3674f714e717/10.1177_17455057231199949-fig3.jpg

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