REPRODUCTIVE HEALTH OF MEN WITH CHRONIC INFLAMMATION OF THE UROGENITAL TRACT

The aim of the study was to statistically evaluate the impact of chronic inflammation of the urogenital tract and other related factors on men's reproductive health, as well as predicting the likelihood of future health. The study was implemented in several successive stages. In the first stage, a system of key indicators of the impact on men's reproductive health due to the transfer of chronic inflammation of the urogenital tract (CIUT) was developed by expert interrogation of family doctors, dermatovenereologists, urologists. In the second stage, information on key factors of influence was collected by interviewing men during 2021-2024 by the face-to-face method during the admission of patients to the clinical bases of the Department of Family Medicine and outpatient care at the NMAPE named after P.L. Shupik. 422 patients participated in the survey. In the third stage, on the basis of the formed database of the interviewed patients, the correlation between the reproductive health indicator of men with CIUT and the main factors that determine it is established. In the next stage, factor variables were identified and prognostic models of the probability of fertility decline among men with CIUT were constructed. The system of key indicators for the impact on men's reproductive health due to the transfer of CIUT is grouped into five blocks: socio-demographic characteristics; history of sexual system diseases; maintaining a healthy lifestyle; features of sexual life; actual semen parameters. The greatest impact on the negative reproductive health of men who have a history of stroke has demographic characteristics of patients and sperm parameters. Thus, men over 40 years of age with a pathological sperm morphotype are more likely to have a decrease in fertility in the background or after treatment with CIUT. In the course of the experimental calculations, it was found that the most appropriate approach in identifying the factors influencing the future reproductive health of men is to use linear prognostic models using structural variables. When constructing a prognostic model of men's reproductive health, it was determined that the model was more adequate when combining the factors of each of the five indicator blocks. As a result of identifying the most important factor variables for their further use in the prognostic models of men's reproductive health, a stepwise regression method with “joining” and “exclusion” was applied.

Authors

Institutions

Publication Details

Journal
РОЗВИТОК МІСТА
Published
2024-10-11
DOI
https://doi.org/10.32782/city-development.2024.3-16
Primary Topic
Pregnancy and Medication Impact
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

REPRODUCTIVE HEALTH OF MEN WITH CHRONIC INFLAMMATION OF THE UROGENITAL TRACT

С. Ю. Ціпоренко, Olga Kovalenko
РОЗВИТОК МІСТА
Pregnancy and Medication Impact
article

REPRODUCTIVE HEALTH OF MEN WITH CHRONIC INFLAMMATION OF THE UROGENITAL TRACT

С. Ю. Ціпоренко, Olga Kovalenko
article en

Abstract

The aim of the study was to statistically evaluate the impact of chronic inflammation of the urogenital tract and other related factors on men's reproductive health, as well as predicting the likelihood of future health. The study was implemented in several successive stages. In the first stage, a system of key indicators of the impact on men's reproductive health due to the transfer of chronic inflammation of the urogenital tract (CIUT) was developed by expert interrogation of family doctors, dermatovenereologists, urologists. In the second stage, information on key factors of influence was collected by interviewing men during 2021-2024 by the face-to-face method during the admission of patients to the clinical bases of the Department of Family Medicine and outpatient care at the NMAPE named after P.L. Shupik. 422 patients participated in the survey. In the third stage, on the basis of the formed database of the interviewed patients, the correlation between the reproductive health indicator of men with CIUT and the main factors that determine it is established. In the next stage, factor variables were identified and prognostic models of the probability of fertility decline among men with CIUT were constructed. The system of key indicators for the impact on men's reproductive health due to the transfer of CIUT is grouped into five blocks: socio-demographic characteristics; history of sexual system diseases; maintaining a healthy lifestyle; features of sexual life; actual semen parameters. The greatest impact on the negative reproductive health of men who have a history of stroke has demographic characteristics of patients and sperm parameters. Thus, men over 40 years of age with a pathological sperm morphotype are more likely to have a decrease in fertility in the background or after treatment with CIUT. In the course of the experimental calculations, it was found that the most appropriate approach in identifying the factors influencing the future reproductive health of men is to use linear prognostic models using structural variables. When constructing a prognostic model of men's reproductive health, it was determined that the model was more adequate when combining the factors of each of the five indicator blocks. As a result of identifying the most important factor variables for their further use in the prognostic models of men's reproductive health, a stepwise regression method with “joining” and “exclusion” was applied.

РОЗВИТОК МІСТА(3 (03))
Shupyk National Healthcare University of Ukraine (UA)
Good health and well-being
Openalex Percentile: Top 67%
Pregnancy and Medication Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.