Evidence map›Paper›PMID 33834291›Full record

ArticleInternational journal of biometeorology2021

Association between meteorological variables and semen quality: a retrospective study.

Gustavo Luis Verón, Andrea Daniela Tissera, Ricardo Bello, Gustavo Martín Estofan, Mariana Hernández, Fernando Beltramone, Rosa Isabel Molina, Mónica Hebe Vazquez-Levin

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of biometeorology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

8 authors at 2 institutions in 1 country.

Gustavo Luis VerónLaboratorio de Estudios de Interacción Celular en Reproducción y Cáncer, Instituto de Biología y Medicina Experimental (IBYME), Consejo Nacional de Investigaciones Científicas y Técnicas de Argentina (National Research Council of Argentina; CONICET)-Fundación IBYME (FIBYME), Vuelta de Obligado 2490, C1428ADN, Ciudad Autónoma de Buenos Aires, Argentina.
Andrea Daniela TisseraLaboratorio de Andrología y Reproducción (LAR), Córdoba, Argentina.
Ricardo BelloDepartamento de Metodología, Estadística y Matemática, Universidad de Tres de Febrero, Sáenz Peña, Buenos Aires, Argentina.
Gustavo Martín EstofanCentro Integral de Ginecología, Obstetricia y Reproducción (CIGOR), Córdoba, Argentina.
Mariana HernándezCentro Integral de Ginecología, Obstetricia y Reproducción (CIGOR), Córdoba, Argentina.
Fernando BeltramoneCentro Integral de Ginecología, Obstetricia y Reproducción (CIGOR), Córdoba, Argentina.
Rosa Isabel Molina *Laboratorio de Andrología y Reproducción (LAR), Córdoba, Argentina.
Mónica Hebe Vazquez-Levin *Laboratorio de Estudios de Interacción Celular en Reproducción y Cáncer, Instituto de Biología y Medicina Experimental (IBYME), Consejo Nacional de Investigaciones Científicas y Técnicas de Argentina (National Research Council of Argentina; CONICET)-Fundación IBYME (FIBYME), Vuelta de Obligado 2490, C1428ADN, Ciudad Autónoma de Buenos Aires, Argentina. mhvazquez@ibyme.conicet.gov.ar.ORCID http://orcid.org/0000-0002-4463-6532
Consejo Nacional de Investigaciones Científicas y Técnicas · ARNational University of Tres de Febrero · AR

Funding

Consejo Nacional de Investigaciones Científicas y Técnicas PIP887Fundación René Barón Institutional (IBYME)Fundación Williams (AR) Institutional (IBYME)
6 · The paper itself

Abstract

Spermatogenesis is a temperature-dependent process, and high summer temperatures have been linked to lower sperm concentration and count. However, reports describing the association between other meteorological variables and semen quality are scarce. This study evaluated the association between semen quality and temperature, humidity, pressure, apparent temperature (AT), temperature-humidity index (THI), simplified wet-bulb global temperature (sWBGT), and sunshine duration. Semen samples were obtained at the Laboratorio de Andrología y Reproducción (LAR, Argentina), from men undergoing routine andrology examination (n=11657) and computer-assisted sperm analysis (n=4705) following WHO 2010 criteria. Meteorological variables readings were obtained from the Sistema Meteorológico Nacional. Sperm quality parameters were negatively affected in summer when compared to winter. Additionally, there was a significant decrease in sperm kinematics between winter and spring. Branch and bound variable selection followed by multiple regression analysis revealed a significant association between semen quality and meteorological variables. Specifically, changes in sunshine duration and humidity reinforced the prognosis of semen quality. Highest/lowest sunshine duration and humidity quantiles resulted in decreased sperm concentration, count, motility, vitality and membrane competence, nuclear maturity, and sperm kinematics associated to highest sunshine duration and lowest humidity. Findings from this report highlight the relevance of environmental studies for predicting alterations in male reproductive health associated to variations in meteorological variables, especially considering the current climate changes around the planet due to global warming and its consequences for human health.

Indexed as

Semen AnalysisSperm MotilityHumansMaleRetrospective StudiesSpermatozoaSperm CountCASAClimatedaylengthhumiditysemen qualitysunshine duration

Identifiers

PMID33834291
OpenAlexW3149860919

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.