Evidence map›Paper›PMID 41036143›Full record

ArticleFrontiers in endocrinology2025

Ambient climatic conditions and semen quality: a comparative analysis across the periods before, during, and after the COVID-19 pandemic.

Heeyon Kim, Soyeong Park, Yebon Kim, Yun Soo Chung, Jin Kyung Baek, Jeongmi Yoon, Chungsoon Ryu, Bo Hyon Yun, Young Sik Choi, Daewoo Pak and 2 more

Abstract readComparative Study
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Heeyon Kim *Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Soyeong Park *Department of Computer Science, Yonsei University, Wonju, Republic of Korea.
Yebon KimDepartment of Computer Science, Yonsei University, Wonju, Republic of Korea.
Yun Soo ChungDepartment of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jin Kyung BaekDepartment of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jeongmi YoonDepartment of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Chungsoon RyuDepartment of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Bo Hyon YunDepartment of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Young Sik ChoiDepartment of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Daewoo PakDivision of Data Science, Yonsei University, Wonju, Republic of Korea.
Seok Kyo Seo *Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yohan Ko *Division of Software, Yonsei University, Wonju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ambient temperature and humidity can influence male reproductive function; however, it is unclear whether pandemic-related lifestyle and environmental changes modify this climatic susceptibility. Methods: A total of 2,672 semen analysis records from 1,287 Korean men collected between 2018 and 2024 were analyzed. Data analyses were conducted on a cohort in which some participants underwent multiple semen analyses across different visits. Semen quality data were linked to regional meteorological records for temperature and humidity across two exposure windows: 0-90 days and 70-90 days prior to semen collection. To address intra-subject correlations from repeated measurements, generalized linear mixed-effects models with a Tweedie distribution and log link function were applied. Associations between lagged environmental exposures and semen parameters-including volume, sperm concentration, motility, strict morphology, and total sperm count (TSC)-were evaluated. Subgroup analyses were further performed for the before COVID-19, during COVID-19, and after COVID-19 periods. Results: Sperm concentration and TSC significantly increased during the COVID-19 pandemic, whereas semen volume declined over time. Sperm concentration increased after the COVID-19 period, compared to the before COVID-19 era. Elevated ambient temperature, particularly during the 70-90-day spermatogenesis-sensitive window, was significantly associated with decreased sperm concentration and TSC; however, only during the COVID-19 period. No consistent association between humidity and semen parameters was observed. Discussion: These results suggest that pandemic-related changes may have amplified biological vulnerability to climatic stressors. Overall, semen quality improved during the COVID-19 pandemic; however, our findings indicate that this period was uniquely characterized by increased climatic sensitivity of spermatogenesis. This may reflect altered environmental exposure and lifestyle behaviors, highlighting the complex interactions between public health crises, human behavior, and male reproductive health. Future studies should incorporate detailed indoor climate and occupational exposure data to elucidate these associations further.

Indexed as

ClimateCOVID-19SemenSemen AnalysisAdultHumansHumidityMaleMiddle AgedPandemicsRepublic of KoreaSARS-CoV-2Sperm CountSperm MotilityTemperatureambient temperaturebig data analysisCOVID-19 pandemicmale fertilitymeteorological datarelative humiditysemen quality

Identifiers

PMID41036143
PMCPMC12479330

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.