Does abnormal weight affect sperm quality? A case-control study based on bioelectrical impedance analysis

IntroductionWeight gain can lead to metabolic, circulatory, and systemic changes. Obesity has been confirmed to induce various physical and mental illnesses. The relationship between abnormal weight and male fertility has become a research focus, although the findings regarding their correlation rem...

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Main Authors: Huang Liu, Xiaoxia Wang, Li Li, Zhiyong Zhu, Hai Lin, Yu Zhou, Houbin Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Nutrition
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Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2025.1642836/full
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author Huang Liu
Xiaoxia Wang
Li Li
Zhiyong Zhu
Hai Lin
Yu Zhou
Houbin Zheng
author_facet Huang Liu
Xiaoxia Wang
Li Li
Zhiyong Zhu
Hai Lin
Yu Zhou
Houbin Zheng
author_sort Huang Liu
collection DOAJ
description IntroductionWeight gain can lead to metabolic, circulatory, and systemic changes. Obesity has been confirmed to induce various physical and mental illnesses. The relationship between abnormal weight and male fertility has become a research focus, although the findings regarding their correlation remain controversial.ObjectiveA case-control study based on bioelectrical impedance analysis was conducted to evaluate the correlation between abnormal body weight and sperm quality and to confirm the degree of impact of abnormal body weight on sperm quality.MethodsA retrospective analysis was conducted of 137 men who underwent fertility assessment at the Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) between April 2024 and April 2025. Sperm parameters, body composition parameters, age, height, and other relevant information were extracted and analyzed. One hundred and thirty-seven males were divided into three groups according to their sperm quality: normal sperm group (Group A, n = 29), oligoasthenozoospermia group (Group B, n = 58), and azoospermia group (Group C, n = 50). According to the presence of sperm, they were divided into two groups: sperm group (AA group, n = 87) and azoospermia group (BB group, n = 50). The differences between these groups were compared, and the inherent connections and patterns between the indicators were explored through Pearson correlation analysis and partial correlation analysis; to determine the correlation between weight and sperm quality; and to evaluate the influence of weight on sperm quality.ResultsThe body composition parameters of the different sperm count groups (A, B, and C) were similar and showed no differences. However, there were certain differences in age, height, weight, protein (P), minerals (M), InBody score (IBS), percent body fat (PBF), total body water (TBW), intracellular water (ICW), body fat mass (BFM), body cell mass (BCM), soft lean mass (SLM), and skeletal muscle mass (SMM) between groups AA and BB. They did not follow a linear distribution, and the KMO and Bartlett sphericity tests suggested that they followed a spherical distribution (KMO = 0.775, sig = 0.000), which was related to the presence of sperm. Factor analysis revealed that weight, PBF, height, age, and IBS were the five key influencing factors. After combining height and weight factors, we found the age, IBS, and PBF were more decisive and sensitive than body mass index (BMI).ConclusionBody composition has a certain impact on sperm quality, especially age, IBS, and PBF, which may be more accurate than BMI. Bioelectrical impedance analysis could effectively assist in the judgment and has the potential to predict sperm parameters.
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spelling doaj-art-9119d7d521994810a6c930b03ac2c28d2025-08-20T03:02:52ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2025-08-011210.3389/fnut.2025.16428361642836Does abnormal weight affect sperm quality? A case-control study based on bioelectrical impedance analysisHuang Liu0Xiaoxia Wang1Li Li2Zhiyong Zhu3Hai Lin4Yu Zhou5Houbin Zheng6Department of Andrology, National Health Commission (NHC) Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Human Sperm Bank of Guangdong Province, Guangzhou, ChinaDepartment of Immunology, National Health Commission (NHC) Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Human Sperm Bank of Guangdong Province, Guangzhou, ChinaDepartment of Traditional Chinese Medicine, National Health Commission (NHC) Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Human Sperm Bank of Guangdong Province, Guangzhou, ChinaDepartment of Andrology, National Health Commission (NHC) Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Human Sperm Bank of Guangdong Province, Guangzhou, ChinaDepartment of Andrology, National Health Commission (NHC) Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Human Sperm Bank of Guangdong Province, Guangzhou, ChinaDepartment of Andrology, National Health Commission (NHC) Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Human Sperm Bank of Guangdong Province, Guangzhou, ChinaDepartment of Andrology, National Health Commission (NHC) Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Human Sperm Bank of Guangdong Province, Guangzhou, ChinaIntroductionWeight gain can lead to metabolic, circulatory, and systemic changes. Obesity has been confirmed to induce various physical and mental illnesses. The relationship between abnormal weight and male fertility has become a research focus, although the findings regarding their correlation remain controversial.ObjectiveA case-control study based on bioelectrical impedance analysis was conducted to evaluate the correlation between abnormal body weight and sperm quality and to confirm the degree of impact of abnormal body weight on sperm quality.MethodsA retrospective analysis was conducted of 137 men who underwent fertility assessment at the Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital) between April 2024 and April 2025. Sperm parameters, body composition parameters, age, height, and other relevant information were extracted and analyzed. One hundred and thirty-seven males were divided into three groups according to their sperm quality: normal sperm group (Group A, n = 29), oligoasthenozoospermia group (Group B, n = 58), and azoospermia group (Group C, n = 50). According to the presence of sperm, they were divided into two groups: sperm group (AA group, n = 87) and azoospermia group (BB group, n = 50). The differences between these groups were compared, and the inherent connections and patterns between the indicators were explored through Pearson correlation analysis and partial correlation analysis; to determine the correlation between weight and sperm quality; and to evaluate the influence of weight on sperm quality.ResultsThe body composition parameters of the different sperm count groups (A, B, and C) were similar and showed no differences. However, there were certain differences in age, height, weight, protein (P), minerals (M), InBody score (IBS), percent body fat (PBF), total body water (TBW), intracellular water (ICW), body fat mass (BFM), body cell mass (BCM), soft lean mass (SLM), and skeletal muscle mass (SMM) between groups AA and BB. They did not follow a linear distribution, and the KMO and Bartlett sphericity tests suggested that they followed a spherical distribution (KMO = 0.775, sig = 0.000), which was related to the presence of sperm. Factor analysis revealed that weight, PBF, height, age, and IBS were the five key influencing factors. After combining height and weight factors, we found the age, IBS, and PBF were more decisive and sensitive than body mass index (BMI).ConclusionBody composition has a certain impact on sperm quality, especially age, IBS, and PBF, which may be more accurate than BMI. Bioelectrical impedance analysis could effectively assist in the judgment and has the potential to predict sperm parameters.https://www.frontiersin.org/articles/10.3389/fnut.2025.1642836/fullbody compositionspermatogenesissperm parametersbioelectrical impedance analysisBMI
spellingShingle Huang Liu
Xiaoxia Wang
Li Li
Zhiyong Zhu
Hai Lin
Yu Zhou
Houbin Zheng
Does abnormal weight affect sperm quality? A case-control study based on bioelectrical impedance analysis
Frontiers in Nutrition
body composition
spermatogenesis
sperm parameters
bioelectrical impedance analysis
BMI
title Does abnormal weight affect sperm quality? A case-control study based on bioelectrical impedance analysis
title_full Does abnormal weight affect sperm quality? A case-control study based on bioelectrical impedance analysis
title_fullStr Does abnormal weight affect sperm quality? A case-control study based on bioelectrical impedance analysis
title_full_unstemmed Does abnormal weight affect sperm quality? A case-control study based on bioelectrical impedance analysis
title_short Does abnormal weight affect sperm quality? A case-control study based on bioelectrical impedance analysis
title_sort does abnormal weight affect sperm quality a case control study based on bioelectrical impedance analysis
topic body composition
spermatogenesis
sperm parameters
bioelectrical impedance analysis
BMI
url https://www.frontiersin.org/articles/10.3389/fnut.2025.1642836/full
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