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A model investigating environmental factors that play a role in female fecundity or birth rate

OBJECTIVE: Over 12% of women in the United States have reduced fertility and/or fecundity. Environmental factors, such as temperature, and socioeconomic factors have been implicated in reducing female fecundity. The purpose of this study is to investigate the effect of environmental factors coupled...

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Autor principal: Boland, Mary Regina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258536/
https://www.ncbi.nlm.nih.gov/pubmed/30481214
http://dx.doi.org/10.1371/journal.pone.0207932
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author Boland, Mary Regina
author_facet Boland, Mary Regina
author_sort Boland, Mary Regina
collection PubMed
description OBJECTIVE: Over 12% of women in the United States have reduced fertility and/or fecundity. Environmental factors, such as temperature, and socioeconomic factors have been implicated in reducing female fecundity. The purpose of this study is to investigate the effect of environmental factors coupled with socioeconomic factors on birth rate at the country-level. We use birth rate as a proxy for female fecundity. This will enable us to identify the most important factors affecting female fecundity. METHODS: Using country-specific data from 182 countries, we constructed a regression model of the effects of environmental and socioeconomic factors on birth rate at the country-level. Our model assesses the role of temperature, Gross Domestic Product (GDP) per capita, fine air particulate matter (PM 2.5), and prevalence of male and female Body Mass Index (BMI) > = 25 (age-standardized) on birth rate per country. Because many of these factors are inter-dependent, we include all possible two-way interaction terms to assess the role of individual factors and interactions between multiple factors in the model. RESULTS: In the full regression model, we found that GDP per capita along with 5 interaction terms were significant after adjusting for multiple testing. Female BMI was only nominally significant. GDP per capita was independently associated with birth rate (adjusted p-value <0.001). Prevalence of BMI > = 25 age-standardized in males and females were also significant when interacting with air pollution or GDP on female fecundity (birth rate). Temperature did not affect birth rate either independently or as an interaction unless BMI was removed from the model. CONCLUSION: A country’s economic wealth was the most significant factor in predicting birth rate in a statistical model that includes environmental and socioeconomic variables. This is important for future studies investigating environmental factors involved in increasing or decreasing female fecundity.
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spelling pubmed-62585362018-12-06 A model investigating environmental factors that play a role in female fecundity or birth rate Boland, Mary Regina PLoS One Research Article OBJECTIVE: Over 12% of women in the United States have reduced fertility and/or fecundity. Environmental factors, such as temperature, and socioeconomic factors have been implicated in reducing female fecundity. The purpose of this study is to investigate the effect of environmental factors coupled with socioeconomic factors on birth rate at the country-level. We use birth rate as a proxy for female fecundity. This will enable us to identify the most important factors affecting female fecundity. METHODS: Using country-specific data from 182 countries, we constructed a regression model of the effects of environmental and socioeconomic factors on birth rate at the country-level. Our model assesses the role of temperature, Gross Domestic Product (GDP) per capita, fine air particulate matter (PM 2.5), and prevalence of male and female Body Mass Index (BMI) > = 25 (age-standardized) on birth rate per country. Because many of these factors are inter-dependent, we include all possible two-way interaction terms to assess the role of individual factors and interactions between multiple factors in the model. RESULTS: In the full regression model, we found that GDP per capita along with 5 interaction terms were significant after adjusting for multiple testing. Female BMI was only nominally significant. GDP per capita was independently associated with birth rate (adjusted p-value <0.001). Prevalence of BMI > = 25 age-standardized in males and females were also significant when interacting with air pollution or GDP on female fecundity (birth rate). Temperature did not affect birth rate either independently or as an interaction unless BMI was removed from the model. CONCLUSION: A country’s economic wealth was the most significant factor in predicting birth rate in a statistical model that includes environmental and socioeconomic variables. This is important for future studies investigating environmental factors involved in increasing or decreasing female fecundity. Public Library of Science 2018-11-27 /pmc/articles/PMC6258536/ /pubmed/30481214 http://dx.doi.org/10.1371/journal.pone.0207932 Text en © 2018 Mary Regina Boland http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Boland, Mary Regina
A model investigating environmental factors that play a role in female fecundity or birth rate
title A model investigating environmental factors that play a role in female fecundity or birth rate
title_full A model investigating environmental factors that play a role in female fecundity or birth rate
title_fullStr A model investigating environmental factors that play a role in female fecundity or birth rate
title_full_unstemmed A model investigating environmental factors that play a role in female fecundity or birth rate
title_short A model investigating environmental factors that play a role in female fecundity or birth rate
title_sort model investigating environmental factors that play a role in female fecundity or birth rate
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258536/
https://www.ncbi.nlm.nih.gov/pubmed/30481214
http://dx.doi.org/10.1371/journal.pone.0207932
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