论文部分内容阅读
目的了解辽宁省锦州市农村居民生活方式疾病的患病情况及相关影响因素。方法采用多阶段分层抽样方法,通过问卷调查、体格检查对918名20~70岁常住居民5种生活方式疾病患病情况和影响因素进行调查。结果生活方式疾病的总患病率为27.6%,男性患病者占55.3%,女性占44.7%,差异有统计学意义(χ2=5.197,P=0.027);高血压、脑血栓、腰椎间盘突出、糖尿病和肥胖5种生活方式疾病的患病率依次为15.6%、4.0%、2.0%、3.6%、2.4%,随着年龄的增长患病率有增高趋势,且差异有统计学意义(χ2=87.129,P=0.000);多因素logistic回归分析显示,5种疾病的共同危险因素有吸烟(OR=1.250,95%CI=1.025~1.525)、家里人吸烟(OR=1.590,95%CI=1.053~2.403)、饮酒(OR=1.291,95%CI=1.048~1.591)、常吃腌制食品(OR=1.200,95%CI=1.041~1.382)、常吃薯类(OR=1.410,95%CI=1.177~1.690)和家族史(OR=4.831,95%CI=2.636~8.853),共同的保护因素有常吃大蒜(OR=0.843,95%CI=0.734~0.969)和充足的睡眠(OR=0.474,95%CI=0.374~0.599)。结论锦州市农村居民生活方式疾病是多种因素综合作用的结果,应实施有针对性的预防措施,提高预防效果。
Objective To understand the prevalence of lifestyle diseases among rural residents in Jinzhou City, Liaoning Province and related factors. Methods The multi-stage stratified sampling method was used to investigate the prevalence and influencing factors of 5 life-style diseases in 918 residents aged 20 to 70 by questionnaire and physical examination. Results The total prevalence rate of life-style diseases was 27.6%, 55.3% of male patients and 44.7% of women, the difference was statistically significant (χ2 = 5.197, P = 0.027); hypertension, cerebral thrombosis, lumbar disc herniation , Prevalence rates of diabetes and obesity in 5 kinds of lifestyle diseases were 15.6%, 4.0%, 2.0%, 3.6% and 2.4%, respectively. The prevalence increased with age and the difference was statistically significant (χ2 = 87.129, P = 0.000). Multivariate logistic regression analysis showed that the common risk factors of five diseases were smoking (OR = 1.250,95% CI = 1.025-1.525) and smoking in the family (OR = 1.590,95% CI = (OR = 1.291, 95% CI = 1.048-1.591), eating preserved foods (OR = 1.200, 95% CI = 1.041-1.382), eating potato (OR = 1.410, 95% CI = 1.177-1.690) and family history (OR = 4.831, 95% CI = 2.636-8.853). The common protective factors were garlic (OR = 0.843, 95% CI = 0.734-0.969) and adequate sleep = 0.474, 95% CI = 0.374-0.599). Conclusion The lifestyle diseases of rural residents in Jinzhou City are the result of the combination of many factors. Targeted preventive measures should be implemented to improve the prevention effect.