From the Division of Physical Medicine and Rehabilitation, Department of Orthopaedic Surgery, Washington University in St Louis School of Medicine, St Louis, Missouri (ALC); The Brown School at Washington University in St Louis, St Louis, Missouri (ECB); Washington University in St Louis School of Medicine, St Louis, Missouri (BKB); Division of Hand and Microsurgery, Department of Orthopaedic Surgery, Washington University in St Louis School of Medicine, St Louis, Missouri (RPC); Division of Public Health Sciences, Department of Surgery, Washington University in St Louis School of Medicine, St Louis, Missouri (LMK, GAC); and Weill Cornell Medical College, New York City, New York (HP).
Am J Phys Med Rehabil. 2022 Mar 1;101(3):211-216. doi: 10.1097/PHM.0000000000001774.
The aim of the study was to better address sociodemographic-related health disparities. This study examined which sociodemographic variables most strongly correlate with self-reported health in patients with chronic musculoskeletal pain.
This single-center, cross-sectional study examined adult patients, followed by a physiatrist for chronic (≥4 yrs) musculoskeletal pain. Sociodemographic variables considered were race, sex, and disparate social disadvantage (measured as residential address in the worst vs. best Area Deprivation Index national quartile). The primary comparison was the adjusted effect size of each variable on physical and behavioral health (measured by Patient-Reported Outcomes Measurement Information System [PROMIS]).
In 1193 patients (age = 56.3 ± 13.0 yrs), disparate social disadvantage was associated with worse health in all domains assessed (PROMIS Physical Function Β = -2.4 points [95% confidence interval = -3.8 to -1.0], Pain Interference = 3.3 [2.0 to 4.6], Anxiety = 4.0 [1.8 to 6.2], and Depression = 3.7 [1.7 to 5.6]). Black race was associated with greater anxiety than white race (3.2 [1.1 to 5.3]), and female sex was associated with worse physical function than male sex (-2.5 [-3.5 to -1.5]).
Compared with race and sex, social disadvantage is more consistently associated with worse physical and behavioral health in patients with chronic musculoskeletal pain. Investment to ameliorate disadvantage in geographically defined communities may improve health in sociodemographically at-risk populations.
本研究旨在更好地解决与社会人口学相关的健康差异问题。本研究探讨了哪些社会人口学变量与慢性肌肉骨骼疼痛患者的自我报告健康状况相关性最强。
这是一项单中心、横断面研究,检查了接受慢性(≥4 年)肌肉骨骼疼痛治疗的成年患者。考虑的社会人口学变量包括种族、性别和不同的社会劣势(以居住地址在最差与最佳区域剥夺指数全国四分位数来衡量)。主要比较是每个变量对身体和行为健康(通过患者报告的结果测量信息系统[PROMIS]来衡量)的调整后效应大小。
在 1193 名患者(年龄=56.3±13.0 岁)中,不同的社会劣势与所有评估领域的健康状况较差相关(PROMIS 身体功能 Β=-2.4 分[95%置信区间=-3.8 至-1.0],疼痛干扰=3.3[2.0 至 4.6],焦虑=4.0[1.8 至 6.2],抑郁=3.7[1.7 至 5.6])。黑种人比白种人更容易出现焦虑(3.2[1.1 至 5.3]),女性的身体功能比男性差(-2.5[-3.5 至-1.5])。
与种族和性别相比,社会劣势与慢性肌肉骨骼疼痛患者的身体和行为健康更密切相关。在地理定义社区中投资改善劣势,可能会改善处于社会人口学风险中的人群的健康状况。