| BackgroundThe International Osteoporosis Society clearly pointed out that if people adopt a healthy lifestyle,they can reduce the risk of osteoporosis,and active prevention and treatment are low-input and high-efficiency means.Osteoporosis is a well-recognized multifactorial outcome,and the morbidity is generally different in different populations.In the research of many domestic scholars,there are differences in the analysis of the influencing factors of osteoporosis,which may be the result of the different urban environment and economic development of the survey,the health care consciousness of the survey subjects,or the selection bias in the survey.ObjectWe analyzed the prevalence of residents in the urban-rural junction of Guangzhou and identified risk factors for osteoporosis,established an osteoporosis risk assessment model,and used the model to calculate the residents’ risk scores,predicted the population’s probability of illness,and discussed prevention of osteoporosis To provide suggestions for residents ’self-health management and related policy formulation.MethodThis article divides and multi-stage sampling according to the urban area of Guangzhou,and conducts a sociological survey on the selected permanent residents aged 40 and above in the urban-rural junction.Using SPSS20.0 software to conduct a descriptive analysis of the basic situation of residents in the urban-rural junction,through a single factor analysis to obtain the influencing factors of osteoporosis,and then conduct a multi-factor logistic regression analysis of these influencing factors and quantify each factor and disease Coefficients to establish risk assessment models for osteoporosis in men and women,respectively.Finally,the ROC curve and Hosmer-Lemeshow goodness-of-fit test are used to evaluate the model.Result1.The prevalence of the subjectA total of 2195 people were included in the analysis.There were 510 men,accounting for 23.23%%,and 1685 women,accounting for 76.77%.The overall prevalence rate was 20.82%.Among them,the overall prevalence rate was 12.75%for men and 23.26%for women.2.Analysis of influencing factors of osteoporosisThe influencing factors of male osteoporosis include age,BMI,nature of work,weekly fruit and meat intake,physical exercise,and length of sun exposure.The influencing factors of female osteoporosis are age,BMI,menopause years 5-15 years,16-30 years,30 years,weekly fruit and meat intake,tea drinking,sweating,physical exercise,sun exposure sun.3.Risk scoring system and risk stratificationIn the male osteoporosis scoring system,according to the logical calculation,the total score is-7~1 points,the maximum value is 1 point,and the minimum value is-2 points.When the male score is between-7~-5 points,it belongs to the low-risk group;When the score is between-4 and-3 points,it belongs to the middle-risk group;when the score is between-2 and 1 point,it belongs to the high-risk group.In the female osteoporosis scoring system,according to the logical calculation,the total score is-52~47 points,the maximum value is 20 points,and the minimum value is-12 points.When the female score is between-52~-20 points,it is a low risk Group;when the score is between-20 and-8 points,it belongs to the middle-risk group;when the score is between-8 and 47 points,it belongs to the high-risk group.Conclusion1.The prevalence of osteoporosis in male residents aged 40 and above in urban and rural junctions in Guangzhou is 12.75%,and the prevalence of female osteoporosis is 23.26%.2.Based on the cross-sectional study,by establishing the relationship between influencing factors and diseases,an individual risk assessment model of osteoporosis in the urban-rural junction of Guangzhou was constructed,and the research advantages of the model were used to estimate the risk of osteoporosis.It has an important reference value for evaluating the health status of individuals and discovering high-risk groups. |