Uttara Adhunik Medical College and Hospital, Dhaka, Bangladesh.
La Trobe University, Bundoora, VIC, Australia.
J Prim Care Community Health. 2022 Jan-Dec;13:21501319221114259. doi: 10.1177/21501319221114259.
This case-control study investigated the association between SARS-CoV-2 infection and musculoskeletal health complaints (MHC). The specific aims of the study were (1) to compare the 1-month prevalence of MHC among post-acute COVID-19 patients and participants who never tested positive for COVID-19 matched by the former group's age and gender; (2) to identify the predictors of MHC among all participants, and (3) define the factors independently associated with MHC in post-acute COVID-19 patients.
The study was conducted in Bangladesh from February 24 to April 7, 2022. The face-to-face interview was taken using a paper-based semi-structured questionnaire. MHC was measured using the musculoskeletal subscale of subjective health complaints produced by Eriksen et al. Descriptive analysis was conducted to compute MHC prevalence and compare them across groups. Multiple logistic analyses were employed to identify MHC predictors for the participants.
The prevalence of MHC was 38.7%. Adjusted analysis suggested that the SARS-CoV-2 infection was independently associated with MHC (AOR = 3.248,95% CI = 2.307-4.571). Furthermore, unemployment (AOR = 4.156, 95% CI = 1.308-13.208), moderate illness (AOR = 2.947,95% CI = 1.216-7.144), treatment in hospitals' general word (AOR = 4.388,95% CI = 1.878-10.254) and health complaints after COVID-19 (AOR = 4.796,95% CI = 2.196-10.472) were found to be the predictors of MHC among post-acute COVID-19 patients.
Our study found a robust association between SARS-CoV-2 infection and MHC and recommends that healthcare authorities be prepared to deal with the high burden of MHC among post-acute COVID-19 patients.
本病例对照研究调查了 SARS-CoV-2 感染与肌肉骨骼健康投诉(MHC)之间的关联。该研究的具体目的是:(1)比较急性 COVID-19 后患者和从未检测出 COVID-19 阳性的参与者之间 MHC 的 1 个月患病率,前者按年龄和性别与后者相匹配;(2)确定所有参与者中 MHC 的预测因素;(3)确定与急性 COVID-19 后患者 MHC 相关的独立因素。
该研究于 2022 年 2 月 24 日至 4 月 7 日在孟加拉国进行。使用基于纸的半结构化问卷进行面对面访谈。使用 Eriksen 等人提出的主观健康投诉的肌肉骨骼子量表来衡量 MHC。进行描述性分析以计算 MHC 的患病率并比较各组之间的差异。采用多变量逻辑分析确定参与者 MHC 的预测因素。
MHC 的患病率为 38.7%。调整分析表明,SARS-CoV-2 感染与 MHC 独立相关(AOR=3.248,95%CI=2.307-4.571)。此外,失业(AOR=4.156,95%CI=1.308-13.208)、中度疾病(AOR=2.947,95%CI=1.216-7.144)、在医院普通病房治疗(AOR=4.388,95%CI=1.878-10.254)和 COVID-19 后健康投诉(AOR=4.796,95%CI=2.196-10.472)是急性 COVID-19 后患者 MHC 的预测因素。
我们的研究发现 SARS-CoV-2 感染与 MHC 之间存在很强的关联,并建议卫生保健当局做好准备,应对急性 COVID-19 后患者 MHC 负担过重的问题。