Evidence map›Paper›PMID 42205874›Full record

ArticleNew microbes and new infections2026

Sperm quality parameters of Swiss army recruits pre- and peri-COVID-19: a cross-sectional, comparative analysis.

Sabine Köppen, Ulrike Held, Nejla Gültekin, Andreas Stettbacher, Zeno Stanga, Ismail I Ülgür, Jeremy Werner Deuel, Patricia Schlagenhauf

Abstract read
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Article in New microbes and new infections, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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

8 authors.

Sabine KöppenDepartment of Global and Public Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Ulrike HeldDepartment of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Nejla GültekinCentre of Competence for Military and Disaster Medicine, Swiss Armed Forces, Ittigen, Bern, Switzerland.
Andreas StettbacherCentre of Competence for Military and Disaster Medicine, Swiss Armed Forces, Ittigen, Bern, Switzerland.
Zeno StangaCentre of Competence for Military and Disaster Medicine, Swiss Armed Forces, Ittigen, Bern, Switzerland.
Ismail I ÜlgürCentre of Competence for Military and Disaster Medicine, Swiss Armed Forces, Ittigen, Bern, Switzerland.
Jeremy Werner DeuelDepartment of Global and Public Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Patricia SchlagenhaufDepartment of Global and Public Health, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study evaluates sperm quality among young Swiss military recruits in 2021 and compares the findings with data collected between 2005 and 2017, in the context of the reported global decline in sperm quality. Methods: This cross-sectional study compares two cohorts of Swiss men aged 18 to 30 years. Group 1 (Rahban) included 2523 participants examined between 2005 and 2017, and Group 2 (LoCoMo) comprised 194 recruits assessed in 2021. Semen analyses were performed according to WHO guidelines. In Group 2, reproductive hormones (FSH, LH, testosterone) were additionally measured. Comparisons between cohorts were conducted, and geographic variation within Group 2 was assessed by language region and settlement type. Results: Based on WHO reference criteria, 17% of soldiers of Group 2 (LoCoMo in the peri-COVID period) had oligozoospermia, 35% had asthenozoospermia, and 14% teratozoospermia. Compared to Group 1 (Rahban), sperm concentration, total sperm count, progressive sperm motility and sperm morphology remained similar. Evidence for differences in LH and FSH levels of Group 2 were found in three different sperm concentration groups, while no evidence of differences were shown in testosterone levels. No evidence of differences in distribution of sperm concentration groups were found between language regions (Latin vs. Non-Latin) and settlement types ((Sub)urban vs. Rural). Conclusions: Sperm quality remained stable in 2021 apart from those with recent COVID-19 infections compared to the period from 2005 to 2017. Larger studies are required to explore spatial correlation of sperm parameters and other influencing factors.

Indexed as

Geographical differencesMale fertilityReproductive hormonesSperm qualityYoung men

Identifiers

PMID42205874
PMCPMC13202535

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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.