A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Association of prenatal exposure to PM and NO with gestational diabetes in Western New York. | LitMetric

Association of prenatal exposure to PM and NO with gestational diabetes in Western New York.

Environ Res

Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA. Electronic address:

Published: March 2024

Background: Although many studies have examined the association between prenatal air pollution exposure and gestational diabetes (GDM), the relevant exposure windows remain inconclusive. We aim to examine the association between preconception and trimester-specific exposure to PM and NO and GDM risk and explore modifying effects of maternal age, pre-pregnancy body mass index (BMI), smoking, exercise during pregnancy, race and ethnicity, and neighborhood disadvantage.

Methods: Analyses included 192,508 birth records of singletons born to women without pre-existing diabetes in Western New York, 2004-2016. Daily PM and NO at 1-km grids were estimated from ensemble-based models. We assigned each birth with exposures averaged in preconception and each trimester based on residential zip-codes. We used logistic regression to examine the associations and distributed lag models (DLMs) to explore the sensitive windows by month. Relative excess risk due to interaction (RERI) and multiplicative interaction terms were calculated.

Results: GDM was associated with PM averaged in the first two trimesters (per 2.5 μg/m: OR = 1.08, 95% CI: 1.01, 1.14) or from preconception to the second trimester (per 2.5 μg/m: OR = 1.10, 95% CI: 1.03, 1.18). NO exposure during each averaging period was associated with GDM risk (per 10 ppb, preconception: OR = 1.10, 95% CI: 1.06, 1.14; first trimester: OR = 1.12, 95% CI: 1.08, 1.16; second trimester: OR = 1.10, 95% CI: 1.06, 1.14). In DLMs, sensitive windows were identified in the 5 and 6 gestational months for PM and one month before and three months after conception for NO. Evidence of interaction was identified for pre-pregnancy BMI with PM (P-for-interaction = 0.023; RERI = 0.21, 95% CI: 0.10, 0.33) and with NO (P-for-interaction = 0.164; RERI = 0.16, 95% CI: 0.04, 0.27).

Conclusion: PM and NO exposure may increase GDM risk, and sensitive windows may be the late second trimester for PM and periconception for NO. Women with higher pre-pregnancy BMI may be more susceptible to exposure effects.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.envres.2023.117873DOI Listing

Publication Analysis

Top Keywords

gdm risk
12
sensitive windows
12
second trimester
12
or = 110 95%
12
association prenatal
8
exposure gestational
8
gestational diabetes
8
diabetes western
8
western york
8
95% 106
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!