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Abstract：
OBJECTIVE: This study aims to explore the risk factors associated with frozen shoulder patients and further analyze the relationship between gender and diabetes with frozen shoulder.
METHODS: We have reviewed the data of 1205 frozen shoulder patients in China\'s Xinjiang region from 2018 to 2023. The collected information included patients\' gender, occupation, place of origin, marital status, age, the season of disease onset, duration of illness, etiology, surgical history, hypertension, diabetes, respiratory diseases, knee joint disease, hyperlipidemia, cardiovascular diseases, cervical spondylosis, lumbar disc herniation, rheumatoid arthritis, hyperuricemia, sleep quality, smoking and alcohol consumption, and constipation. We have used multifactor logistic regression analysis to identify the risk factors for a frozen shoulder.
RESULTS: Single-factor logistic regression analysis showed that the number of females, patients with diabetes, knee joint disease, constipation, and patients with poor sleep quality in the observation group are higher than in the control group (P < 0.05). There were no statistically significant differences between the two groups in terms of occupation, place of origin, marital status, age, season of disease onset, duration of illness, etiology, surgical history, hypertension, respiratory diseases, hyperlipidemia, cardiovascular diseases, cervical spondylosis, lumbar disc herniation, rheumatoid arthritis, hyperuricemia, smoking, and alcohol consumption history (P > 0.05). Multivariate analysis showed that the final model included four variables: gender, diabetes history, sleep, and constipation. Among them, the OR values of gender and diabetes history were more significant than 1, indicating that they were independent risk factors for frozen shoulder, while the OR values of sleep and constipation were less than 1, suggesting that they were negatively associated with the occurrence of frozen shoulder.
CONCLUSIONS: The results of this study suggest that gender and diabetes are independent risk factors for frozen shoulder. Additionally, poor sleep quality and constipation also can be correlated with the occurrence of a frozen shoulder.
METHODS: We have reviewed the data of 1205 frozen shoulder patients in China\'s Xinjiang region from 2018 to 2023. The collected information included patients\' gender, occupation, place of origin, marital status, age, the season of disease onset, duration of illness, etiology, surgical history, hypertension, diabetes, respiratory diseases, knee joint disease, hyperlipidemia, cardiovascular diseases, cervical spondylosis, lumbar disc herniation, rheumatoid arthritis, hyperuricemia, sleep quality, smoking and alcohol consumption, and constipation. We have used multifactor logistic regression analysis to identify the risk factors for a frozen shoulder.
RESULTS: Single-factor logistic regression analysis showed that the number of females, patients with diabetes, knee joint disease, constipation, and patients with poor sleep quality in the observation group are higher than in the control group (P < 0.05). There were no statistically significant differences between the two groups in terms of occupation, place of origin, marital status, age, season of disease onset, duration of illness, etiology, surgical history, hypertension, respiratory diseases, hyperlipidemia, cardiovascular diseases, cervical spondylosis, lumbar disc herniation, rheumatoid arthritis, hyperuricemia, smoking, and alcohol consumption history (P > 0.05). Multivariate analysis showed that the final model included four variables: gender, diabetes history, sleep, and constipation. Among them, the OR values of gender and diabetes history were more significant than 1, indicating that they were independent risk factors for frozen shoulder, while the OR values of sleep and constipation were less than 1, suggesting that they were negatively associated with the occurrence of frozen shoulder.
CONCLUSIONS: The results of this study suggest that gender and diabetes are independent risk factors for frozen shoulder. Additionally, poor sleep quality and constipation also can be correlated with the occurrence of a frozen shoulder.
摘要：
目的：本研究旨在探讨肩周炎患者的相关危险因素，并进一步分析性别与糖尿病的关系。
方法：我们回顾了2018-2023年中国新疆地区1205例肩周炎患者的临床资料。收集的信息包括患者的性别，职业,原产地,婚姻状况,年龄,疾病发作的季节，疾病的持续时间,病因学,手术史,高血压,糖尿病,呼吸系统疾病,膝关节疾病,高脂血症,心血管疾病,颈椎病,腰椎间盘突出症,类风湿性关节炎,高尿酸血症,睡眠质量,吸烟和饮酒，还有便秘.我们使用多因素logistic回归分析来确定肩周炎的危险因素。
结果:单因素logistic回归分析显示,糖尿病患者,膝关节疾病,便秘,观察组睡眠质量差的患者高于对照组(P<0.05)。两组在职业方面无统计学差异,原产地,婚姻状况,年龄,疾病发作季节，疾病的持续时间,病因学,手术史,高血压,呼吸系统疾病,高脂血症,心血管疾病,颈椎病,腰椎间盘突出症,类风湿性关节炎,高尿酸血症,吸烟,饮酒史(P>0.05)。多变量分析表明，最终模型包括四个变量：性别，糖尿病史,睡眠,还有便秘.其中,性别和糖尿病史的OR值大于1，表明它们是冻结肩的独立危险因素，而睡眠和便秘的OR值小于1，表明它们与冻结肩的发生呈负相关。
结论：本研究结果表明性别和糖尿病是冻结肩的独立危险因素。此外,睡眠质量差和便秘也可能与肩周炎的发生有关。
方法：我们回顾了2018-2023年中国新疆地区1205例肩周炎患者的临床资料。收集的信息包括患者的性别，职业,原产地,婚姻状况,年龄,疾病发作的季节，疾病的持续时间,病因学,手术史,高血压,糖尿病,呼吸系统疾病,膝关节疾病,高脂血症,心血管疾病,颈椎病,腰椎间盘突出症,类风湿性关节炎,高尿酸血症,睡眠质量,吸烟和饮酒，还有便秘.我们使用多因素logistic回归分析来确定肩周炎的危险因素。
结果:单因素logistic回归分析显示,糖尿病患者,膝关节疾病,便秘,观察组睡眠质量差的患者高于对照组(P<0.05)。两组在职业方面无统计学差异,原产地,婚姻状况,年龄,疾病发作季节，疾病的持续时间,病因学,手术史,高血压,呼吸系统疾病,高脂血症,心血管疾病,颈椎病,腰椎间盘突出症,类风湿性关节炎,高尿酸血症,吸烟,饮酒史(P>0.05)。多变量分析表明，最终模型包括四个变量：性别，糖尿病史,睡眠,还有便秘.其中,性别和糖尿病史的OR值大于1，表明它们是冻结肩的独立危险因素，而睡眠和便秘的OR值小于1，表明它们与冻结肩的发生呈负相关。
结论：本研究结果表明性别和糖尿病是冻结肩的独立危险因素。此外,睡眠质量差和便秘也可能与肩周炎的发生有关。
