Comparison of characteristics between Chinese diabetes mellitus-induced erectile dysfunction populations and non-diabetes mellitus-induced erectile dysfunction populations: A cross-sectional study

Jingxuan Peng; Dongjie Li; Longyun Liu; Yali Xiang; Yuxin Tang

doi:10.3389/fendo.2022.1096045

Comparison of characteristics between Chinese diabetes mellitus-induced erectile dysfunction populations and non-diabetes mellitus-induced erectile dysfunction populations: A cross-sectional study

Front Endocrinol (Lausanne). 2022 Dec 21:13:1096045. doi: 10.3389/fendo.2022.1096045. eCollection 2022.

Authors

Jingxuan Peng^{1

2

3}, Dongjie Li^{1

2}, Longyun Liu^{4

5}, Yali Xiang⁶, Yuxin Tang^{4

5}

Affiliations

¹ Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
² National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
³ Department of Urology, First Affiliated Hospital of Jishou University, Jishou, Hunan, China.
⁴ Department of Urology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
⁵ Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
⁶ Health Management Center, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.

Abstract

Background: Erectile dysfunction (ED) is a common disease in adult men, and diabetes is an independent risk factor for ED. However, there are few reports on the distinction between diabetes mellitus-induced erectile dysfunction (DMED) and non-DMED features, as well as ED features of varying severity in the two groups.

Methods: A total of 365 ED patients treated at two clinics in China from 2019 to 2022 were included. Questionnaires of the International Index of Erectile Function (IIEF-5), Erectile Hardness Score (EHS), Premature Ejaculation Diagnostic Tool (PEDT), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder-7 (GAD-7) were administered to the patients. They were divided into three groups according to the IIEF-5 score: 5-7 for severe ED, 8-11 for moderate ED, and 12-21 for mild ED. In addition, the patient's age, weight, height, fasting blood glucose (FBG), total cholesterol (TC), triglycerides (TG), follicle-stimulating hormone (FSH), luteinizing hormone (LH), prolactin (PRL), total testosterone (TT) and other indicators were also collected. Statistical analysis was performed using SPSS 26, comparing all parameters between groups.

Results: Age (P<0.001), height (P=0.009), body mass index (BMI) (P=0.002), PEDT (P<0.001), FBG (P<0.001), FSH (P<0.001), TG (P<0.001), TT (P<0.001) and triglyceride-glucose index (TyG) (P<0.001) were significantly different between diabetic ED and nondiabetic ED subjects. The trend test in the nondiabetic ED population found a negative correlation between the IIEF-5 score and PHQ-9 (P for trend=0.15). Multivariate ordinal logistic regression in the diabetic ED population showed that elevated LH OR=11.37 (95% CI: 0.966, 3.897) and elevated PRL OR=4.10 (95% CI: 0.410, 2.411) were associated with an increased risk of more severe ED.

Conclusions: The aetiology, demographic parameters, degree of premature ejaculation, and related biochemical tests were significantly different between the DMED and non-DMED populations.

Keywords: clinical study; cross-sectional study; diabetes mellitus; erectile dysfunction; influence factors.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adult
China
Cross-Sectional Studies
Diabetes Mellitus* / epidemiology
East Asian People
Erectile Dysfunction* / complications
Erectile Dysfunction* / etiology
Follicle Stimulating Hormone
Humans
Male
Premature Ejaculation* / complications
Premature Ejaculation* / epidemiology
Testosterone

Substances

Follicle Stimulating Hormone
Testosterone