Eating at fast-food restaurants and dietary quality in low-income pregnant women. Does access to fast food lead to super-sized pregnant women and whopper babies? Economics & Human Biology, 9(4), 364–380.įowles, E. Green spaces and pregnancy outcomes in Southern California. Neighborhood conditions are associated with maternal health behaviors and pregnancy outcomes. Paediatric and Perinatal Epidemiology, 24(3), 249–254. Neighbourhood food environment and gestational diabetes in New York City. 2014 evidence-based guideline for the management of high blood pressure in adults: Report from the panel members appointed to the Eighth Joint National Committee (JNC 8). A prospective study of pregravid determinants of gestational diabetes mellitus.
Pregnancy-induced hypertensive disorders before and after a national economic collapse: A population based cohort study. Risk factors for pre-eclampsia at antenatal booking: Systematic review of controlled studies. Pre-eclampsia rates in the United States, 1980–2010: Age–period–cohort analysis. American Journal of Obstetrics and Gynecology, 209(6), 544e1–544e12.Īnanth, C. Incidence of preeclampsia: Risk factors and outcomes associated with early- versus late-onset disease. Preventive Services Task Force recommendation statement. Screening for gestational diabetes mellitus: U.S.
Evidence Report/Technology Assessment (Full Report), 210, 1–327. Screening and diagnosing gestational diabetes mellitus. Conclusion The distribution of community resources has a significant association with the risk of developing GDM but not preeclampsia. There were no significant relationships between preeclampsia and the concentration of fast food restaurants, grocery store, supermarkets or the amount of green space.
Super health club 1.01 download zip#
The adjusted risk of GDM was reduced in zip codes with greater concentration of grocery stores and supermarkets (RR 0.94, 95 % CI 0.90–0.98). Results There were 9692 cases of GDM and 6288 cases of preeclampsia corresponding to incidences of 2.5 and 1.4 % respectively. Unadjusted and adjusted risk ratios were calculated using negative binomial regression. California Birth Certificate data was used to identify cases of GDM and preeclampsia. Fast food restaurants, supermarkets, grocery stores, gyms, health clubs and green space were identified using Google © Maps Extractor and through the Southern California Association of Government. Methods An ecological study was performed in Los Angeles and Orange counties in California. Objective To determine the risk of gestational diabetes (GDM) and preeclampsia associated with various community resources.
0 kommentar(er)
