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1.
Infect Dis Obstet Gynecol ; 2015: 201479, 2015.
Article in English | MEDLINE | ID: mdl-25784782

ABSTRACT

BACKGROUND: In 2011, a multistate outbreak of listeriosis linked to contaminated cantaloupes raised concerns that many pregnant women might have been exposed to Listeria monocytogenes. Listeriosis during pregnancy can cause fetal death, premature delivery, and neonatal sepsis and meningitis. Little information is available to guide healthcare providers who care for asymptomatic pregnant women with suspected L. monocytogenes exposure. METHODS: We tracked pregnancy-associated listeriosis cases using reportable diseases surveillance and enhanced surveillance for fetal death using vital records and inpatient fetal deaths data in Colorado. We surveyed 1,060 pregnant women about symptoms and exposures. We developed three methods to estimate how many pregnant women in Colorado ate the implicated cantaloupes, and we calculated attack rates. RESULTS: One laboratory-confirmed case of listeriosis was associated with pregnancy. The fetal death rate did not increase significantly compared to preoutbreak periods. Approximately 6,500-12,000 pregnant women in Colorado might have eaten the contaminated cantaloupes, an attack rate of ~1 per 10,000 exposed pregnant women. CONCLUSIONS: Despite many exposures, the risk of pregnancy-associated listeriosis was low. Our methods for estimating attack rates may help during future outbreaks and product recalls. Our findings offer relevant considerations for management of asymptomatic pregnant women with possible L. monocytogenes exposure.


Subject(s)
Cucumis melo/microbiology , Disease Outbreaks , Listeria monocytogenes , Listeriosis/epidemiology , Population Surveillance , Pregnancy Complications, Infectious/epidemiology , Adult , Aged , Aged, 80 and over , Colorado/epidemiology , Female , Fetal Death , Food Microbiology , Humans , Incidence , Infant, Newborn , Pregnancy
2.
Am J Clin Nutr ; 90(6): 1489-95, 2009 Dec.
Article in English | MEDLINE | ID: mdl-19864412

ABSTRACT

BACKGROUND: Obesity in adolescence has been increasing in the past several decades. Beverage habits among adolescents include increased consumption of sugar-sweetened beverages and decreased consumption of milk. OBJECTIVE: This study aimed to examine the association between beverage consumption and 5-y body weight change in 2294 adolescents. DESIGN: Project EAT (Eating Among Teens) is a 5-y longitudinal study of eating patterns among adolescents. Surveys were completed in 1998-1999 (time 1) and in 2003-2004 (time 2). Multivariable linear regression was used to examine the association between beverage consumption at time 2 and change in body mass index from time 1 to time 2, with adjustments for age, socioeconomic status, race, cohort, physical activity, sedentary behavior, coffee, tea, time 1 body mass index, and beverage variables. RESULTS: In prospective analyses, consumption of beverages was not associated with weight gain, except for consumption of low-calorie soft drinks (positive association, P = 0.002) and white milk (inverse association, P = 0.03), but these associations did not appear to be a monotonic linear dose-response relation. The positive association with low-calorie soft drinks was no longer present after adjustment for dieting and parental weight-related concerns, which suggests that the use of low-calorie soft drinks is a marker for more general dietary behaviors and weight concerns. CONCLUSIONS: We showed no association between sugar-sweetened beverage consumption, juice consumption, and adolescent weight gain over a 5-y period. A direct association between diet beverages and weight gain appeared to be explained by dieting practices. Adolescents who consumed little or no white milk gained significantly more weight than their peers who consumed white milk. Future research that examines beverage habits and weight among adolescents should address portion sizes, adolescent maturation, and dieting behaviors.


Subject(s)
Beverages , Feeding Behavior , Weight Gain , Adolescent , Animals , Body Mass Index , Energy Intake , Female , Humans , Male , Milk
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