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运动处方变量对肌肉骨骼疼痛干预结果的影响:系统评价的伞式综述。

The Impact of Exercise Prescription Variables on Intervention Outcomes in Musculoskeletal Pain: An Umbrella Review of Systematic Reviews.

机构信息

Division of Physiotherapy, Department of Applied Health Sciences, Hochschule für Gesundheit (University of Applied Sciences), Gesundheitscampus 6-8, 44801, Bochum, Germany.

Department of Intervention Research in Exercise Training, German Sport University Cologne, Cologne, Germany.

出版信息

Sports Med. 2024 Mar;54(3):711-725. doi: 10.1007/s40279-023-01966-2. Epub 2023 Dec 14.

Abstract

BACKGROUND

Musculoskeletal pain conditions are the largest contributors to disability and healthcare burden globally. Exercise interventions improve physical function and quality of life in individuals with musculoskeletal pain, yet optimal exercise prescription variables (e.g. duration, frequency, intensity) are unclear.

OBJECTIVE

We aimed to examine evidence gaps, methodological quality and exercise prescription recommendations in systematic reviews of exercise for musculoskeletal pain.

METHODS

In our prospectively registered umbrella review, PubMed, SPORTDiscus, Cochrane Database of Systematic Reviews, EMBASE, and CINAHL were searched from inception to 14 February 2023. Backward citation tracking was performed. We included peer-reviewed, English language, systematic reviews and meta-analyses of randomized controlled trials (RCTs) and controlled clinical trials (CCTs) that compared exercise with conservative treatment, placebo or other exercise interventions in adults with musculoskeletal pain. Data were extracted from the following groups of reviews based on their reporting of exercise prescription data and analysis of the relationship between prescription variables and outcomes: (1) those that did not report any exercise prescription data, (2) those that reported exercise prescription data but did not perform a quantitative analysis and (3) those that performed a quantitative analysis of the relationship between exercise prescription variables and outcomes. Outcome measures were physical function, pain, mental health, adverse effects and adherence to treatment. AMSTAR-2 (A MeaSurement Tool to Assess systematic Reviews) was used to assess methodological quality.

RESULTS

From 6757 records, 274 systematic reviews were included. 6.6% of reviews did not report any exercise prescription data, and only 10.9% quantitatively analyzed the relationship between prescription variables and the outcome(s). The overall methodological quality was critically low in 85% of reviews.

CONCLUSION

High methodological quality evidence is lacking for optimal exercise training prescription variables in individuals with musculoskeletal pain. To better inform practice and evidence gaps, future systematic reviews should (1) identify optimum exercise prescription variables, for example, via dose-response (network) meta-analysis, (2) perform high-quality reviews per AMSTAR-2 criteria and (3) include outcomes of mental health, adverse events and exercise adherence.

PROSPERO REGISTRATION NUMBER

CRD42021287440 ( https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021287440 ).

摘要

背景

肌肉骨骼疼痛疾病是导致全球残疾和医疗负担的最大原因。运动干预可改善肌肉骨骼疼痛患者的身体功能和生活质量,但运动处方的最佳变量(例如持续时间、频率、强度)尚不清楚。

目的

我们旨在检查肌肉骨骼疼痛运动系统评价中的证据差距、方法学质量和运动处方建议。

方法

在我们前瞻性注册的伞式综述中,从开始到 2023 年 2 月 14 日,我们在 PubMed、SPORTDiscus、Cochrane 系统评价数据库、EMBASE 和 CINAHL 中进行了搜索。还进行了回溯引文追踪。我们纳入了同行评议的、英语的、系统评价和随机对照试验(RCT)和对照临床试验(CCT)的荟萃分析,这些研究比较了运动与保守治疗、安慰剂或其他运动干预在肌肉骨骼疼痛成人中的效果。根据其报告的运动处方数据以及分析处方变量与结局之间关系的数据,我们从以下几组综述中提取数据:(1)未报告任何运动处方数据的综述;(2)报告运动处方数据但未进行定量分析的综述;(3)对运动处方变量与结局之间关系进行定量分析的综述。结局指标为身体功能、疼痛、心理健康、不良反应和治疗依从性。使用 AMSTAR-2(系统评价测量工具)评估方法学质量。

结果

从 6757 条记录中,纳入了 274 篇系统评价。6.6%的综述未报告任何运动处方数据,只有 10.9%对处方变量与结局之间的关系进行了定量分析。85%的综述整体方法学质量为极低。

结论

肌肉骨骼疼痛患者最佳运动训练处方变量的高质量证据不足。为了更好地为实践和证据差距提供信息,未来的系统评价应(1)通过剂量反应(网络)荟萃分析确定最佳运动处方变量,(2)根据 AMSTAR-2 标准进行高质量的综述,(3)纳入心理健康、不良反应和运动依从性的结局。

PROSPERO 注册号:CRD42021287440(https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021287440)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6900/10978700/5401c0e7d747/40279_2023_1966_Fig1_HTML.jpg

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