A comparative evaluation of semen parameters in pre- and post-Hurricane Katrina human population

The spermiogram and correlation of seminal fluid parameters in patient attending fertility centre in Lagos, South West Nigeria

BACKGROUND

The determinant of the spermiogram of semen varies in different populations based on several factors ranging, from age to the pathological state of an individual to environmental factors. The aim of the study is to determine the spermiogram of patients that attend fertility clinics in southwest Nigeria and the relationship between the parameters.

METHODOLOGY

This is a cross-sectional study that recruited two hundred and ninety seven (297) patients from two fertility centers in Lagos, Nigeria for the period of January 2021 to November 2022. The sperm samples were collected following WHO standards. The spermiogram was analyzed using an automated sperm analyzer and the descriptive and inference statistics of the study were carried out using R packages (R version 4.2.0).

RESULTS

The result showed the mean age of 43.12±6.95years with median age of 42years. The mean of sperm count and concentration were 114×106 sperm cells and 42×106 per mL with the mean volume of the semen produced by the patients was 2.69mL and average motility (progressive and non-progressive) of the sperm is 47%±19%, 42%±17% has normal morphology. The distributions of the observed variables (seminal fluid parameters) were different from normal distributions in the studied population, such that almost all of them are skewed to the right. The degree of relationship between the sperm parameter were very weak. Nevertheless, specifically, there is a negative correlation between age and sperm count, age and motility, age and volume, and a positive correlation between age and abnormal morphology. The results showed that sperm morphology has a significant effect on motility while sperm morphology significantly depend on sperm count.

CONCLUSION

An increase in sperm volume and concentration improves the sperm morphology and boost the sperm motility, this may increasing the chance of fertility.

Disaster preparedness in assisted reproductive technology

The American Society for Reproductive Medicine compels centers providing reproductive medicine care to develop and implement an emergency preparedness plan in the event of a disaster. Reproductive care is vulnerable to disruptions in energy, transportation, and supply chains as well as may have potential destructive impacts on infrastructure. With the relentless progression of events related to climate change, centers can expect a growing number of such disruptive events and must prepare to deal with them. This article provides a case study of the impact of Hurricane Sandy on one center in New York City and proposes recommendations for future preparedness and mitigation.

The Paradoxical Effects of Hurricane Katrina on Births and Adverse Birth Outcomes

Objectives. To review the trends in pregnancy outcomes after Hurricane Katrina and assess effects of the disaster on research and public health related to pregnant women.Methods. We reexamined the 2004-2006 vital statistics data from Alabama, Louisiana, and Mississippi, assessing what the risk of adverse pregnancy outcomes in the population would have been under varying risk scenarios.Results. We saw a reduction in number of births as well as in low birth weight and preterm birth. If the number of births had stayed constant and the relative higher risk in the "missing" births had been between 17% and 100%, the storm would have been associated with an increased risk instead of a decrease. Because the relative decline in births was larger in Black women, the higher risk in the "missing" births required to create a significant increase associated with the storm was generally not as great as for White women.Conclusions. Higher exposure to Katrina may have produced a reduction in births among high-risk women in the region rather than increasing adverse outcomes among those who did give birth.

Sperm quality and environment: A retrospective, cohort study in a Northern province of Italy

BACKGROUND

Several studies proposed a relationship between environmental factors and semen quality, as well as the negative effect of air pollution on spermatogenesis and gonadal function. No specific studies evaluated the environmental influence on semen quality in a specific geographical area.

AIM

to evaluate the environmental influence on male sperm parameters in a Northern Italian population referred for semen analysis in the National Health System. The objective of the study is the assessment of the relationship of both air pollution and environmental parameters with quality-related sperm variables, during the coldest months of the year when air is usually most polluted, due to low ventilation and poor rainfall.

STUDY DESIGN

A retrospective, observational, cohort study was carried out in the province of Modena, located in the Emilia-Romagna region of Northern Italy.

METHODS

Semen analyses (n=406), environmental temperature, air humidity and air particulate matter (PM) measurements from the 1st of November 2014 to the 19th of February 2015 were acquired to the first database. Since spermatogenesis lasts over two months, a second, wider database was arranged, evaluating environmental exposure in the 3 months before semen collection (from August 1st 2014). All data included in the database were registered by geo-coding the residential address of the patients and the site of registration of environmental factors. The geo-codification of parameters was performed using Fusion Tables of Google available at https://www.google.com/fusiontables/data? dsrcid=implicit, considering the exact time of measurement.

RESULTS

Average air temperature was inversely related to sperm concentration and to total sperm number (p<0.001). Semen volume was inversely related only to the minimum (p<0.001) and not to maximum recorded temperature (p=0.110). Air humidity was not related to sperm quantity and quality. PM2.5 was directly related to total sperm number (p<0.001). PM10 was directly related to both semen volume (0<0.001), and typical forms (p<0.001), inversely related to atypical forms (p<0.001), but related neither to sperm concentration (p=0.430) nor to sperm motility. The extended analyses considering environmental parameters in the 3 months before semen collection, confirmed the relationship between air temperature and sperm quantity, whereas no influence was found between PM and sperm quality.

CONCLUSION

An influence of environmental temperature on semen quantity is suggested, without a clear effect of air pollution, as assessed through PM10 levels, on sperm parameter variations.