Purpose: An unhealthy prepregnancy weight and/or gaining an inappropriate amount of weight during pregnancy increase the risk for poor pregnancy and birth outcomes. To our knowledge, no studies to date have examined differences in prepregnancy body mass index (BMI) and gestational weight gain (GWG) patterns by rurality.
Methods: The 2004-2006 South Carolina birth certificate data (n = 132,795) were used. Rurality of residence was determined using Rural-Urban Commuting Area (RUCA) codes. Mothers were categorized as underweight (<18.5 kg/m(2)), normal weight (18.5-24.9), overweight (25.0-29.9), and obese (≥30.0) using their prepregnancy BMI and as having inadequate, adequate, or excessive GWG according to the Institute of Medicine's 2009 GWG guidelines. Chi-square tests and adjusted multinomial logistic regression were used in analysis.
Findings: Rural women had higher odds of being overweight and obese compared to urban women. This relationship was found to be partially explained by the higher proportion of minorities living in rural areas. The relationship between GWG and residence type varied by BMI category. Specifically, among normal weight women, rural women had increased odds of inadequate GWG. Among overweight women, rural women had decreased odds of excessive GWG. In obese women, rural women had decreased odds of both inadequate and excessive GWG.
Conclusions: Rural women were more likely to have an unhealthy prepregnancy weight than urban women. However, rural residence was found to be protective against unhealthy GWG in overweight and obese women. Future research exploring reasons for these findings and confirmation of these results in other populations is necessary.
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http://dx.doi.org/10.1111/j.1748-0361.2012.00421.x | DOI Listing |
Endocr Connect
January 2025
V Nunes-Nogueira, Universidade Estadual Paulista Júlio de Mesquita Filho Faculdade de Medicina - Câmpus de Botucatu, Botucatu, 18618-687, Brazil.
Objective: To assess whether individual diagnosis of low urinary iodine concentration (UIC) in pregnant women is associated with adverse maternal and neonatal outcomes.
Methods: Studies that compared pregnant women with UIC <150 μg/L and those with UIC 150-249 μg/L were systematically reviewed. MEDLINE, EMBASE, LILACS, and CENTRAL were our source databases.
Hum Fertil (Camb)
December 2025
Assisted Reproductive Technologies Unit, Department of Obstetrics and Gynecology, Barzilai University Medical Center, Ashkelon, Israel.
Objective: To investigate the association between an abnormal hysterosalpingogram (HSG) and obstetrical and neonatal outcomes.
Design: A retrospective cohort study comparing outcomes between women with normal versus abnormal tubal patency and uterine cavity on HSG.
Results: Among 2181 women included in the study, 494 (22.
Res Nurs Health
January 2025
School of Nursing, Southern Medical University, Guangzhou, China.
High blood pressure and excess weight during pregnancy can have adverse outcomes. This randomized controlled trial evaluated the effects of a nurse-led smartphone application-based lifestyle intervention on blood pressure, body weight, and pregnancy outcomes in pregnant women with gestational hypertension between August and December 2023. Pregnant women, between 20 and 28 weeks of gestation, were allocated to the intervention or control group.
View Article and Find Full Text PDFInt J Gynaecol Obstet
January 2025
Department of Obstetrics and Gynecology, The First Affiliate Hospital of Jinan University, Jinan University, Guangzhou, China.
Objectives: To develop and validate a nomogram to predict severe postpartum hemorrhage following cesarean delivery.
Methods: This is a two-center retrospective cohort study. Cesarean delivery patients from the First Affiliate Hospital of Jinan University were divided into a development cohort (n = 11 137) and an internal validation cohort (n = 4739).
Am J Reprod Immunol
January 2025
State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, Shandong, China.
Background: Alterations in lipid metabolism were reported to impact human fertility; however, there is limited evidence on the association of lipid metabolism with embryo implantation as well as the etiology of recurrent implantation failure (RIF), especially regarding arachidonic acid metabolism.
Methods: Experimental verification research (16 RIF patients and 30 control patients) based on GEO database analysis (24 RIF patients and 24 control patients). The methods in bioinformatics included differential gene screening, functional enrichment analysis, protein-protein interaction network, cluster analysis, weighted gene co-expression network analysis, and so forth.
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