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Birth Defects Res A Clin Mol Teratol
Get PDFBACKGROUNDCaffeine intake is common during pregnancy, yet few epidemiologic studies have examined the association between maternal caffeine consumption and birth defects. Using data from the National Birth Defects Prevention Study (NBDPS), we examined the association between maternal caffeine consumption and anotia/microtia, esophageal atresia, small intestinal atresia, craniosynostosis, diaphragmatic hernia, omphalocele, and gastroschisis.METHODSThe NBDPS is a multi-site population-based case-control study. The present analysis included 3,346 case infants and 6,642 control infants born from October 1997 through December 2005. Maternal telephone interview reports of demographic characteristics and conditions and exposures before and during pregnancy were collected. Odds ratios and 95% confidence intervals, adjusted for relevant covariates, were calculated to estimate the associations between maternal dietary caffeine intake (coffee, tea, soda, and chocolate) and maternal use of caffeine-containing medications and each defect.RESULTSWe observed small, statistically significant elevations in adjusted odds ratios ranging from 1.3 to 1.8 for total maternal dietary caffeine intake or specific types of caffeinated beverages and anotia/microtia, esophageal atresia, small intestinal atresia, and craniosynostosis; however, dose-response patterns were absent. Periconceptional use of caffeine-containing medications was infrequent and estimates were imprecise.CONCLUSIONSWe did not find convincing evidence of an association between maternal caffeine intake and the birth defects included in this study. The increasing popularity of caffeine-containing energy drinks and other caffeinated products may result in higher caffeine intake among women of childbearing age. Future studies should consider more detailed evaluation of such products.U01 DD000487/DD/NCBDD CDC HHS/United StatesU01 DD000492/DD/NCBDD CDC HHS/United StatesU01/DD00048702/DD/NCBDD CDC HHS/United States2018-07-12T00:00:00Z21254365PMC6042844PMC604284
Birth Defects Res A Clin Mol Teratol
Get PDFBACKGROUND:Alcohol consumption during pregnancy is known to be associated with certain birth defects, but the risk of other birth defects is less certain. The authors examined associations between maternal alcohol consumption during pregnancy and craniosynostosis, omphalocele, and gastroschisis among participants in the National Birth Defects Prevention Study, a large, multicenter case\u2013control study.METHODS:A total of 6622 control infants and 1768 infants with birth defects delivered from 1997\u20132005 were included in the present analysis. Maternal alcohol consumption was assessed as any periconceptional consumption (1 month prepregnancy through the third pregnancy month), and by quantity-frequency, duration, and beverage type. Alcohol consumption throughout pregnancy was explored for craniosynostosis since the period of development may extend beyond the first trimester. Adjusted odds ratios (OR) and 95% confidence intervals (CI) were estimated using unconditional logistic regression analysis. OR were adjusted for age, race/ethnicity, and state of residence at time of infant's birth. Gastroschisis OR were also adjusted for periconceptional smoking.RESULTS:Periconceptional alcohol consumption and craniosynostosis showed little evidence of an association (OR 5 0.92; CI: 0.78\u20131.08), but alcohol consumption in the second (OR 5 0.65; CI: 0.47\u20130.92) and third trimesters (OR 5 0.68; CI: 0.49\u20130.95) was inversely associated with craniosynostosis. Periconceptional alcohol consumption was associated with omphalocele (OR 5 1.50; CI: 1.15\u20131.96) and gastroschisis (OR 5 1.40; CI: 1.17\u20131.67).CONCLUSIONS:Results suggest that maternal periconceptional alcohol consumption is associated with omphalocele and gastroschisis, and second and third trimester alcohol consumption are inversely associated with craniosynostosis.R01 DD000350/DD/NCBDD CDC HHS/United StatesU01 DD000487/DD/NCBDD CDC HHS/United StatesU01 DD000492/DD/NCBDD CDC HHS/United State
500 Cities Project : local data for better health, 2014 : Independence, MO
No full textThe 500 Cities Project\u2014Local Data for Better Health\u2014is a collaboration among the Robert Wood Johnson Foundation, the CDC Foundation, and the Centers for Disease Control and Prevention (CDC), whose purpose is to provide high quality small area estimates for behavioral risk factors that influence health status, for health outcomes, and the use of clinical preventive services. These estimates can be used to identify emerging health problems and to develop and implement of effective, targeted public health prevention activities.Data was obtained from the CDC Behavioral Risk Factor Surveillance System (BRFSS) 2013, 2014, the Census Bureau 2010 census population data, American Community Survey 2009-2013 and 2010-2014 estimates, and Esri ArcGIS Online basemaps.MO_Independence_MB_508tag.pdf20161175
500 Cities Project : local data for better health, 2014 : Somerville, MA
No full textThe 500 Cities Project\u2014Local Data for Better Health\u2014is a collaboration among the Robert Wood Johnson Foundation, the CDC Foundation, and the Centers for Disease Control and Prevention (CDC), whose purpose is to provide high quality small area estimates for behavioral risk factors that influence health status, for health outcomes, and the use of clinical preventive services. These estimates can be used to identify emerging health problems and to develop and implement of effective, targeted public health prevention activities.Data was obtained from the CDC Behavioral Risk Factor Surveillance System (BRFSS) 2013, 2014, the Census Bureau 2010 census population data, American Community Survey 2009-2013 and 2010-2014 estimates, and Esri ArcGIS Online basemaps.MA_Somerville_MB_508tag.pdf20161175
TABLE 1. Weekly cases of selected infrequently reported notifiable diseases (<1,000 cases reported during the preceding year), excluding U.S. territories -- United States, week ending July 7, 2018 (WEEK 27)
Get PDF2018-27-table1-H.pd
500 Cities Project : local data for better health, 2014 : Albuquerque, NM
No full textThe 500 Cities Project\u2014Local Data for Better Health\u2014is a collaboration among the Robert Wood Johnson Foundation, the CDC Foundation, and the Centers for Disease Control and Prevention (CDC), whose purpose is to provide high quality small area estimates for behavioral risk factors that influence health status, for health outcomes, and the use of clinical preventive services. These estimates can be used to identify emerging health problems and to develop and implement of effective, targeted public health prevention activities.Data was obtained from the CDC Behavioral Risk Factor Surveillance System (BRFSS) 2013, 2014, the Census Bureau 2010 census population data, American Community Survey 2009-2013 and 2010-2014 estimates, and Esri ArcGIS Online basemaps.NM_Albuquerque_MB_508tag.pdf20161175
Pictorial review: "Eradication of rabies" [Production Number: 5-093.0'; Running Time: 15 minutes, 87 frames]
No full textWeekly cases of selected notifiable diseases ( 65 1,000 cases reported during the preceding year), and selected low frequency diseases, United States and U.S. territories, week ending July 14, 2018 (WEEK 28). TABLE 2r, Vibriosis (any species of the family Vibrionaceae, other than toxigenic Vibrio cholerae O1 or O139)
No full text2018-28-table2S-H.pdfVibriosis (Any species of the family Vibrionaceae, other than toxigenic Vibrio cholerae O1 or O139)2018936
Dev Psychopathol
Get PDFUrban ethnic minority youth are often exposed to high levels of aggression and violence. As such, many aggression intervention programs that have been designed with suburban nonethnic minority youth have been used or slightly adapted in order to try and meet the needs of high-risk urban youth. The current study contributes to the literature base by examining how well a range of social-cognitive, emotional distress and victimization, and prosocial factors are related to youth aggression in a sample of urban youth. This study utilized data gathered from 109 9- to 15-year-old youth (36.7% male; 84.4% African American) and their parents or caregivers. A series of hierarchical multiple regressions were fit predicting youth aggression from social-cognitive variables, victimization and distress, and prosocial variables, controlling for youth gender and age. Each set of variables explained a significant and unique amount of the variance in youth aggressive behavior. The full model including all predictors accounted for 41% of the variance in aggression. Models suggest that youth with stronger beliefs supportive of violence, youth who experience more overt victimization, and youth who experience greater distress in overtly aggressive situations are likely to be more aggressive. In contrast, youth with higher self-esteem and youth who endorse greater leadership efficacy are likely to be less aggressive. Contrary to hypotheses, hostile attributional bias and knowledge of social information processing, experience of relational victimization, distress in relationally aggressive situations, and community engagement were not associated with aggression. Our study is one of the first to address these important questions for low-income, predominately ethnic minority urban youth, and it has clear implications for adapting aggression prevention programs to be culturally sensitive for urban African American youth.R21 RR026311/RR/NCRR NIH HHS/United StatesU49 CE001093/CE/NCIPC CDC HHS/United States5 U49 CE001093/CE/NCIPC CDC HHS/United State
500 Cities Project : local data for better health 2014 : St. Petersburg, FL
Get PDF1. Introduction and Contents2. Table: City data estimates for each measure3. Unhealthy Behaviors4. Map: Binge drinking prevalence among adults aged 6518 years, 20145. Map: Current smoking among adults aged 6518 years, 20146. Map: No leisure-time physical activity among adults aged 6518 years, 20147. Map: Obesity among adults aged 6518 years, 20148. Map: Sleeping less than 7 hours among adults aged 6518 years, 20149. Health Outcomes10. Map: Arthritis among adults aged 6518 years, 201411. Map: Current asthma prevalence among adults aged 6518 years, 201412. Map: High blood pressure among adults aged 6518 years, 201313. Map: High cholesterol among adults aged 6518 years who have been screened in the past 5 years, 2013 14. Map: Cancer among adults aged 6518 years, 201415. Map: Diagnosed diabetes among adults aged 6518 years, 201416. Map: Chronic kidney disease among adults aged 6518 years, 201417. Map: Chronic obstructive pulmonary disease among adults aged 6518 years, 201418. Map: Coronary heart disease among adults aged 6518 years, 201419. Map: Stroke among adults aged 6518 years, 201420. Map: Mental health not good for 6514 days among adults aged 6518 years, 201421. Map: Physical health not good for 6514 days among adults aged 6518 years, 201422. Map: All teeth lost among adults aged 6565 years, 201423. Use of Preventive Services24. Map: Current lack of health insurance among adults aged 18-64 years, 201425. Map: Visits to doctor for routine checkup within the past year among adults aged 6518 years, 201426. Map: Visits to dentist or dental clinic among adults aged 6518 years, 201427. Map: Taking medicine for high blood pressure control among adults aged 6518 years with high blood pressure, 201328. Map: Cholesterol screening among adults aged 6518 years, 201329. Map: Mammography use among women aged 50-74 years, 201430. Map: Papanicolaou smear use among adult women aged 21-65 years, 201431. Map: Fecal occult blood test, sigmoidoscopy, or colonoscopy among adults aged 50-75 years, 201432. Map: Up-to-date on a core set of clinical preventive services (flu shot past year, pneumococcal shot ever, Map: colorectal cancer screening) among men aged 6565 years, 201433. Map: Up-to-date on a core set of clinical preventive services (same as men plus mammogram past 2 years) among women aged 6565 years, 2014The 500 Cities Project\u2014Local Data for Better Health\u2014is a collaboration among the Robert Wood Johnson Foundation, the CDC Foundation, and the Centers for Disease Control and Prevention (CDC), whose purpose is to provide high quality small area estimates for behavioral risk factors that influence health status, for health outcomes, and the use of clinical preventive services. These estimates can be used to identify emerging health problems and to develop and implement of effective, targeted public health prevention activities.Data was obtained from the CDC Behavioral Risk Factor Surveillance System (BRFSS) 2013, 2014, the Census Bureau 2010 census population data, American Community Survey 2009-2013 and 2010-2014 estimates, and Esri ArcGIS Online basemaps.FL_St.%20Petersburg_MB_508tag.pdf20161175