Epidemiological Investigation And Multiple Regression Analysis Of Clinical Data Of Patients With Psoriasis In Different Periods

BackgroundPsoriasis is a genetically predisposed,systemic,chronic,inflammatory skin disease.Genetic factors are one of the main pathogenesis of the disease.Some epidemiological factors played crucial roles in the occurrence,recurrence / aggravation and in the outcome of psoriasis,such as age,gender,BMI,occupation,smoking,drinking,diet,environmental and mental factors.ObjectiveThis study analyzed the epidemiological changes of psoriasis by using the epidemiological survey data of two periods of 10 years before and after,so as to provide reference for the education of psoriasis.MethodsThe data of the first period consisted of 4537 cases in the case group and 4650 cases in the control group collected from 2009 to 2012.The data in the second period was 949 cases of case group data,and 1100 cases in the control group collected from 2017 to2018.Frequency,independent sample t-test,one-way analysis of variance(ANOVA),chi-square test,nonparametric test(Mann-Whitney U)and logistic regression analysis were performed using SPSS statistical software package.All tests were bilateral,and P< 0.05 was considered statistically significant.ResultsThe mean age of onset was 29.37±13.37 years old for men in the first stage,and30.76±14.42 in the second stage,with significant difference between the two stages(P <0.05).In the two periods,except for the number of women in 10 to 20 year old group than men(P<0.05),whereas in the other groups.In the first period,the age onset of men both the 10 to 20 year-old group and the 30-40 year-old group was greater than that of women(P < 0.05).In the second period,only in the group of 10-20 years old,the age onset of men was greater than that of women(P < 0.05).In the first period,there were statistically significant differences between the age of plaque type and other types,drip type and erythroderma type,the pustular type and erythroderma type(p < 0.05).In the second period,only the difference between plaque type and drip type was statistically significant(p < 0.05).The main types of the two stages were plaque type and drip type.There were statistically significant differences between the obese group and the severely obese group in the two periods(P < 0.05),and the patch type and the drip type in BMI(P < 0.05).First-degree relatives were the most affected in family history.In the first period,there are infection,hypertension,digestive tract diseases,autoimmune diseases and metabolic diseases for concomitant disease.In the second period,there are hypertension,metabolic diseases,coronary heart disease,diabetes and digestive diseases for concomitant disease.Univariate analysis of the two periods showed statistically significant differences(p < 0.05)in age,family history,allergy history,concomitant diseases,smoking,drinking,fish and shrimp,and mental factors.In the first period,there were statistically significant differences in gender,marriage,red meat,humidity,and sleep time(p < 0.05);in the second period,there were statistically significant differences in BMI,spicy food,drug factors,and daylight exposure time(p < 0.05).In both periods,multi-factor logistics analysis showed statistical significance(p < 0.05):smoking,drinking,mental factors,eating fish and shrimp,drugs,family history,allergy history,and associated diseases.The differences of humidity in the first period wasstatistically significant,and the difference of BMI and daylight exposure time in the second period was statistically significant.ConclusionThe data analysis and comparison of the two periods showed that the age of onset,proportion of various types,BMI,occupational distribution and genetic characteristics of patients with psoriasis did not change significantly before and after the decade.In the first period,there were statistically significant differences between the age of plaque type and other types,between drip type and erythroderma type,and between pustular type and erythroderma type(p < 0.05).In the second period,only the difference between patch type and drip type was statistically significant(p < 0.05).In the univariate analysis,there were statistically significant differences in gender,marriage,red meat,moisture,and sleep time in the first period,which were replaced by BMI,spicy food,medication,and daylight exposure time.In multi-factor logistics analysis,the humidity factor disappears in the second period,replaced by BMI and time of exposure to daylight.This is because of the development of social economy,human production and life also makes the surrounding life and ecological environment have significant changes.