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1.
Disaster Med Public Health Prep ; 17: e50, 2021 10 22.
Article in English | MEDLINE | ID: mdl-34674786

ABSTRACT

OBJECTIVE: The main objective of this work was to characterize the prevalence of acute medical needs by examining emergency department (ED) and outpatient wound care clinic (WCC) visits before, during, and after the 2017 Hurricanes Irma and Maria, in St. Thomas, United States (U.S.) Virgin Islands. METHODS: Descriptive statistics and logistic regression were used to assess associations between the occurrence of the storms and visits due to injuries and chronic conditions presented to the ED and WCC from September 1, 2016 to May 31, 2018. RESULTS: ED visits increased and the rate of injury care was higher during the storms (12 patient visits per day) than before or after the storms (9 patient visits per day). WCC visits increased during (12%) and after the storms (45%), and were associated with patients 60 years and older. The odds of ED and WCC visits due to injury during the storms were significantly higher (odds ratio [OR]: 1.28, 95% confidence interval [CI]: 1.17, 1.40) than prior to the storms. The odds for visits due to injuries were 1.19 (95% CI: 1.12, 1.28) times higher after the storms. CONCLUSIONS: Increases occurred in ED and WCC visits for injury care during the storms and in WCC visits after the storms. Public health preparedness mandates understanding how major hurricanes impact the prevalence of acute medical needs, and the factors that influence decisions to seek medical care, in their wake.


Subject(s)
Cyclonic Storms , Humans , United States , United States Virgin Islands/epidemiology , Islands , Public Health , Emergency Service, Hospital
2.
Disaster Med Public Health Prep ; 13(2): 279-286, 2019 04.
Article in English | MEDLINE | ID: mdl-29921340

ABSTRACT

OBJECTIVE: Despite emerging evidence of the detrimental effects of natural disasters on maternal and child health, little is known about exposure to tornadoes during the prenatal period and its impact on birth outcomes. We examined the relationship between prenatal exposure to the spring 2011 tornado outbreak in Alabama and Joplin (Missouri) and adverse birth outcomes. METHODS: We conducted a retrospective, cross-sectional cohort study using the 2010-2012 linked infant births and deaths data set from the National Center for Health Statistics for tornado-affected counties in Alabama (n=126,453) and Missouri (Joplin, n=6,897). Chi-square and logistic regression analyses were performed to estimate associations between prenatal exposure to tornadoes and birth outcomes. RESULTS: Prenatal exposure to the tornado incidents did not influence birth weight outcomes. Women exposed to Alabama tornadoes were less likely to have a preterm birth compared to unexposed mothers (OR: 0.93, 95% CI: 0.91, 0.96). Preterm births among Joplin-tornado exposed mothers were slightly higher (13%) compared with unexposed mothers (11.2%). Exposed mothers from Joplin were also more likely to have a cesarean section compared to their counterparts (OR: 1.14, 95% CI: 1.02, 1.26). CONCLUSIONS: We found no association between tornado exposure and adverse birth weight and infant mortality rates. Our findings suggest that prenatal exposure can amplify the odds for a cesarean section. (Disaster Med Public Health Preparedness. 2019;13:279-286).


Subject(s)
Environmental Exposure/adverse effects , Pregnancy Outcome/epidemiology , Prenatal Injuries/etiology , Tornadoes/statistics & numerical data , Adult , Alabama/epidemiology , Chi-Square Distribution , Cross-Sectional Studies , Environmental Exposure/statistics & numerical data , Female , Humans , Infant, Newborn , Logistic Models , Missouri/epidemiology , Pregnancy , Prenatal Injuries/epidemiology , Retrospective Studies
3.
South Med J ; 106(5): 310-5, 2013 May.
Article in English | MEDLINE | ID: mdl-23644639

ABSTRACT

OBJECTIVES: Acute and chronic respiratory conditions affect a large segment of pregnant women. The purpose of the current study was to examine the concomitant effects of respiratory conditions and smoking during pregnancy on gestational age, birth weight, fetal distress, infant mortality, premature rupture of membranes, placenta abruption, and mode of delivery. METHODS: This study used data (n = 1,064,969) from the North Carolina linked birth/infant death files from 1999 to 2007. Logistic regression was used to compute odds ratios and 95% confidence intervals (CIs) in assessing risk of adverse pregnancy outcomes. RESULTS: We found that women with respiratory conditions/smoking status were significantly more likely than nonsmokers with no respiratory conditions to have a low-birth-weight infant, an infant with fetal distress, and experience preterm birth and an infant's death. Adjusted odds ratios also revealed that smokers with respiratory conditions were 2.37 (95% CI 1.69-3.32) times more likely than women with no respiratory conditions/nonsmoking status to have placenta abruption and 2.20 (95% CI 1.85-2.61) times more likely to have premature rupture of membranes. Regardless of smoking status, women with respiratory conditions were less likely to have a vaginal delivery. CONCLUSIONS: These findings underscore the need for clinical and public health programs to educate women, particularly those with respiratory diseases, of the immense array of adverse outcomes that may occur as a consequence of active maternal smoking during gestation. It is important for interventions to target mothers with respiratory conditions early on to ensure favorable birth outcomes.


Subject(s)
Pregnancy Complications/epidemiology , Respiratory Tract Diseases/complications , Smoking/adverse effects , Abruptio Placentae/epidemiology , Abruptio Placentae/etiology , Adolescent , Adult , Birth Weight , Female , Fetal Distress/epidemiology , Fetal Distress/etiology , Fetal Membranes, Premature Rupture/epidemiology , Fetal Membranes, Premature Rupture/etiology , Gestational Age , Humans , Infant Mortality , Infant, Newborn , Logistic Models , North Carolina/epidemiology , Pregnancy , Pregnancy Outcome/epidemiology , Respiratory Tract Diseases/epidemiology , Risk Factors , Smoking/epidemiology , Socioeconomic Factors , Young Adult
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