The Clinical Characteristics and Influencing Factors of Premature Ejaculation in Andrology Outpatient Population
10.13471/j.cnki.j.sun.yat-sen.univ（med.sci）.2022.0604
- VernacularTitle:男科门诊早泄患者的临床特征及影响因素
- Author:
Yan-ping HUANG
1
;
Wei LIU
1
;
Ming ZHANG
1
;
Shi-ran XU
1
;
Tao ZHANG
1
;
Mu-jun LU
1
Author Information
1. Department of Urology and Andrology， Renji Hospital， Shanghai Jiao Tong University School of Medicine， Shanghai 200001，China
- Publication Type:Journal Article
- Keywords:
premature ejaculation;
erectile dysfunction;
anxiety;
depression
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2022;43(6):892-897
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo analyze the clinical characteristics and influencing factors of premature ejaculation （PE） in andrology outpatient population. MethodsFrom January 2020 to May 2022， a total of 973 male subjects aged 20-60 years were enrolled in the andrology outpatient department of our hospital， and the subjects’ demographic data， medical history and sexual history were recorded in detail. Subjects with complete data were further evaluated by the Premature Ejaculation Diagnostic Tool （PEDT）， self-estimated intra-vaginal ejaculation latency time （IELT）， International Index of Erectile Function 5 （IIEF-5）， Erectile Hardness Score （EHS）， General Anxiety Disorder-7 （GAD-7） and Patients Health Questionnaire-9 （PHQ-9）. Among the subjects， 445 cases （31.12±6.72 years old） were assigned to the PE group and 528 cases （32.78±7.95 years old） to the non-PE group based on their medical and sexual histories， and results of the evaluation. Multiple linear regression and Logistic regression were used to analyze the correlation factors and independent risk factors of PE. ResultsThere were significant differences in the indicators including age， PEDT， IELT， IIEF-5， EHS， GAD-7 and PHQ-9 between the two groups （P<0.05）. Linear regression analysis showed that PEDT was significantly correlated with age （adjusted b =-0.11， P=0.001）， IIEF-5 （adjusted b =-0.17， P<0.001） and PHQ-9 （adjusted b =0.19， P<0.001）. After multivariate adjustment of Logistic regression， the variables such as age ≤30 years， erectile dysfunction and depression status were the independent risk factors for PE， and their Odds Ratio（OR） （95%CI） were 1.63（1.23， 2.16）， 2.05（1.45，2.92） and 1.90（1.37， 2.65）， respectively. ConclusionsPE significantly correlates with age， erectile function scale scores， anxiety and depression scale scores. Age ≤30 years， erectile dysfunction and depression status are the independent risk factors for PE.
