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目的为找寻影响居民骨量异常的相关因素并予以及时干预措施,现探讨惠州市惠东县体检人群骨量异常状况以及导致其异常的相关影响因素。方法选取2016年1月至2017年1月惠州市惠东县人民医院共1 628例体检人群作为研究对象,回顾性分析所有体检者的临床资料,根据资料结果记录所有纳入研究者的性别、年龄和体质量指数(BMI)等一般临床资料以及所有纳入研究者的骨量情况,根据其骨量检查结果将其分为骨量异常组(T值>-1)732例和骨量正常组(T值≤-1)896例,并比较不同骨量者其上述资料间的差异,通过非条件单因素及多因素logistic回归模型分析可能影响骨量异常的相关因素。结果本组1 628例体检者,其骨量异常发生率较高,可达44.96%,其中29.85%患者为骨量减少;非条件单因素logistic回归模型分析显示,不同性别、年龄、BMI和日照时间以及有无吸烟、饮酒和运动等人群间其骨量比较,差异有统计学意义(P<0.05);非条件多因素logistic回归模型分析显示,女性、60岁以上、有吸烟、喝酒史且不运动以及日照时间小于1 h/d均为导致骨量异常的独立危险因素(P<0.05)。结论惠州市惠东县体检人群骨量异常率较高,骨量减少较为多见,且女性、60岁以上、有吸烟、喝酒史且不运动以及日照时间小于1 h/d均为导致骨量异常的独立危险因素。
Objective To find out the related factors that affect the abnormal bone mass of residents and to provide timely intervention measures, the current situation of the abnormal bone mass and the related factors leading to their abnormalities in Huidong County, Huizhou City are explored. Methods A total of 1 628 physical examination population from Huidong County People’s Hospital from January 2016 to January 2017 was selected as the research object. The clinical data of all the medical examinations were retrospectively analyzed. The data of all the included sex, age And body mass index (BMI) and other general clinical data and the bone mass of all the included investigators were divided into 732 cases with abnormal bone mass (T value> -1) and normal bone mass group T value ≤-1) 896 cases, and compare the difference between the above data with different bone mass, through non-conditional univariate and multivariate logistic regression model analysis of the factors that may affect the abnormal bone mass. Results A total of 1 628 subjects in this group had higher bone mass abnormalities (44.96%), of which 29.85% had osteopenia. Non-conditional univariate logistic regression analysis showed that gender, age, BMI and sunshine (P <0.05). Non-conditional multivariate logistic regression analysis showed that female, aged over 60, had a history of smoking and drinking, and had no significant difference in smoking, drinking, exercise, No exercise and sunshine time less than 1 h / d were independent risk factors for bone anomalies (P <0.05). Conclusions The bone mass abnormality rate is high in Huidong County, Huizhou City. The bone mass loss is more common. Female, over 60 years old, smoking and drinking history without exercise and sunshine time less than 1 h / Abnormal independent risk factors.