An analysis on the prevalence and risk factors of non - communicable diseases among immigrants in Xiacheng district in Hangxhou city / 预防医学

ABSTRACT

Objective To investigate the prevalence of non - communicable diseases(NCD)among immigrants in Xiacheng district in Hangzhou city and to provide a scientific evidence for the development of prevention and control measures. Methods Using multi - stage cluster sampling method,immigrants were recruited. A face - to - face interview was conducted using structured questionnaire including general condition,smoking,drinking,physical exercise and life satisfaction. Meanwhile,height,weight,waist circumference,blood pressure,blood glucose and blood lipids were examined. The risk factors of NCD were analyzed using univariate and multivariate logistic regression. Results A total of 303 immigrants aged over 18 years were randomly selected from 5 industries in Xiacheng district,Hangzhou. The prevalence rate of NCD among immigrants was 39. 60% ,and the prevalence rates of hypertension,diabetes,dyslipidemia, chronic obstructive pulmonary disease(COPD),asthma,cancer,bone and joint disease,cervical or lumbar disease were 16. 17% ,2. 97% ,28. 71% ,0. 99% ,0. 33% ,0. 66% ,3. 30% ,3. 63% , respectively. There were significant differences in the prevalence among immigrants of different industry,gender,age,education,marriage,body mass index (BMI),waist circumference,living environment,peasant - workers time and working way( P < 0. 05). Unconditional multivariate logistic regressions showed that accommodation and catering,social services,female,junior middle school and above were the protective factors,however overweight,obesity and waist circumference(male above 85 cm or female above 80 cm)were the risk factors. The odds ratios were 6. 112,11. 321,and 2. 315 respectively. Conclusion The prevalence rate of NCD among immigrants was high in urban area of Hangzhou city. Intervention strategy should be implemented timely in order to control the development of NCD according to the prevalence of different industry and related risk factors.