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气候因素对慢性肌肉骨骼疼痛影响的14年回顾性队列研究:一项西班牙初级保健分析

Fourteen-Year Retrospective Cohort Study on the Impact of Climatic Factors on Chronic Musculoskeletal Pain: A Spanish Primary Care Analysis.

作者信息

Cuenca-Zaldívar Juan Nicolás, Del Corral-Villar Carmen, García-Torres Silvia, Araujo-Zamora Rafael, Gragera-Peña Paula, Martínez-Lozano Pedro, Sánchez-Romero Eleuterio A

机构信息

Universidad de Alcalá, Facultad de Medicina y Ciencias de la Salud, Departamento de Enfermería y Fisioterapia, Grupo de Investigación en Fisioterapia y Dolor, Madrid, Spain.

Physical Therapy Unit, Primary Health Care Center "El Abajón", Las Rozas de Madrid, Spain.

出版信息

Int J Rheum Dis. 2025 Mar;28(3):e70125. doi: 10.1111/1756-185X.70125.

Abstract

INTRODUCTION

Chronic musculoskeletal pain, often affected by environmental factors such as temperature, humidity, and atmospheric pressure, can influence pain perception and increase the number of healthcare visits.

OBJECTIVE

This study examined the link between climate variables and referral rates for chronic musculoskeletal pain in Spanish primary care over 14 years and evaluated the impact of climatic factors on rehabilitation referrals based on variations in pain type, age, and sex.

METHODS

A retrospective cohort of 44 212 adults diagnosed with chronic musculoskeletal pain (2010-2023) across three primary care centers was analyzed. The inclusion criteria were CIAP2 (International Classification of Primary Care, second edition) diagnostic codes, with ethical clearance from the Puerta de Hierro Majadahonda Hospital (PI 70/24). This study adhered to Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines for observational reporting. Climatic data, including temperature, precipitation, wind speed, hours of sunlight, and barometric pressure, were obtained from (Agencia Estatal de Meteorología). Statistical analyses used ARIMAX (AutoRegressive Integrated Moving Average with eXternal regressors) and ETSX (Exponential Smoothing State Space Model with eXternal regressors) models, optimizing model fit through root mean squared error (RMSE), mean absolute percentage error (MAPE), and mean absolute scaled error (MASE).

RESULTS

Significant associations were found between climate factors and referral rates. Higher minimum temperatures reduced shoulder/arm pain referrals by -0.019 (95% CI: -0.036, -0.002; p < 0.05). Male patients were more likely to consult, with age being inversely linked to thoracic/lumbar pain (-0.044; 95% CI: -0.071, -0.018; p < 0.05) and positively associated with shoulder/arm pain (0.038; 95% CI: 0.024, 0.052; p < 0.05). ARIMAX was optimal for most pain types, except for cervical pain, for which ETSX was better.

CONCLUSIONS

Climatic factors, such as temperature and pressure, affect referral patterns, highlighting the need for climate-sensitive healthcare planning to aid resource management and patient guidance on pain in varying weather conditions.

摘要

引言

慢性肌肉骨骼疼痛常受温度、湿度和大气压力等环境因素影响,可影响疼痛感知并增加就诊次数。

目的

本研究调查了14年间西班牙初级保健中气候变量与慢性肌肉骨骼疼痛转诊率之间的联系,并根据疼痛类型、年龄和性别的差异评估了气候因素对康复转诊的影响。

方法

对三个初级保健中心诊断为慢性肌肉骨骼疼痛的44212名成年人(2010 - 2023年)进行回顾性队列分析。纳入标准为国际初级保健分类第二版(CIAP2)诊断代码,并获得了耶罗港马亚达翁达医院的伦理批准(PI 70/24)。本研究遵循流行病学观察性研究报告强化规范(STROBE)进行观察性报告。气候数据,包括温度、降水量、风速、日照时数和气压,取自(国家气象局)。统计分析使用自回归积分滑动平均带外部回归因子(ARIMAX)模型和带外部回归因子的指数平滑状态空间模型(ETSX),通过均方根误差(RMSE)、平均绝对百分比误差(MAPE)和平均绝对尺度误差(MASE)优化模型拟合。

结果

发现气候因素与转诊率之间存在显著关联。较高的最低温度使肩部/手臂疼痛转诊率降低了 -0.019(95%置信区间:-0.036,-0.002;p < 0.05)。男性患者更倾向于咨询,年龄与胸/腰椎疼痛呈负相关(-0.044;95%置信区间:-0.071,-0.018;p < 0.05),与肩部/手臂疼痛呈正相关(0.038;95%置信区间:0.024,0.052;p < 0.05)。除颈部疼痛外,ARIMAX对大多数疼痛类型最为适用,而颈部疼痛ETSX模型效果更好。

结论

温度和压力等气候因素会影响转诊模式,凸显了制定对气候敏感的医疗保健计划以辅助资源管理以及在不同天气条件下为患者提供疼痛指导的必要性。

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