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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
905	Centers for Disease Control and Prevention	Html	en	CDC - Features -Birth Defects Findings - NCBDDD	The journal Pediatrics has published a new CDC article: "Maternal Smoking and Congenital Heart Defects in the Baltimore-Washington Infant Study". You can read the abstract of the article here. Following is a summary of the findings from this article.	common type 0.436558 Gilboa SM 0.433942 great arteries 0.436619 National Birth Defects 0.595384 tract obstruction defects 0.549805 Correa A. 0.467157 Disease Control 0.433002 case-control study 0.443085 previous studies 0.467572 journal Pediatrics 0.438847 Mattison D. Contribution 0.460022 infant death2 0.444857 Alverson CJ 0.434211 congenital heart defect 0.576017 health problems 0.435234 Defects Prevention Study 0.594384 prevention strategies 0.435511 prevention opportunities 0.436473 largest population-based effort 0.468559 right ventricular outflow 0.468295 congenital heart defects 0.986145 Mahle WT 0.432221 best ways 0.434424 disease tracking 0.432336 atrial septal defects 0.552298	United States 0.50228 Reller MD 0.433749 maternal cigarette smoking 0.669479 Correa A. Prevalence 0.460813 technical assistance 0.431958 modest risk factor 0.524709 Maternal Smoking 0.501088 free help 0.435606 certain heart defects 0.608089 Davidoff MJ 0.437945 public health 0.462543 Congenital Heart Public 0.510199 lifelong disability 0.437813 study regions 0.436303 important risk factors 0.459683 Population-based means 0.440713 Baltimore-Washington Infant Study 0.603952 birth defects 0.643253 Birth Defects Prevention 0.593945 comprehensive public health 0.461472 new CDC article 0.478589 low birthweight 0.436961 important clues 0.432236 Strickland MJ 0.46834	CLICK HERE
5088	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, April 12, 2010	null	Apr 0.712236 total blood volume 0.67991 Intermittent preventive treatment 0.676296 PLoS ONE. 0.745366 serum cotinine levels 0.678989 CDC Knowledge 0.73233 passive immune therapy 0.6746 Hunter New England 0.683143 Action Science Clips 0.971953 Community Dent Oral 0.678945 fulminant bacterial infections 0.674061 new weekly digest 0.695343 social marketing intervention 0.679115 State cigarette minimum 0.674041 Northern New South 0.687862 body mass index 0.683795 Chief Science Officer 0.696806 high body mass 0.697647 State cigarette excise 0.676539 VZV Nomenclature Meeting 0.68083 HIV type 0.676484 cancer news coverage 0.760944 Defects Prevention Study 0.69289 news coverage trends 0.749588 Clin Chim Acta. 0.694785	type 1-infected patients 0.686327 planned behavior perspective 0.670303 Stephen B. Thacker 0.76838 Plasmodium falciparum multidrug 0.684739 Yanovski JA 0.673337 Proc Natl Acad 0.67902 ter Kuile FO 0.682318 Lyme disease agent 0.677967 comprehensive content analyses 0.751425 Serotype specific antisera 0.680224 HIV Outpatient Study 0.689503 rural Western Kenya 0.674489 Patient Educ Couns. 0.675236 newly diagnosed HIV 0.679352 Multiple genetic backgrounds 0.677348 species varicella-zoster virus 0.678581 potential human health 0.692755 double-blind placebo-controlled trial 0.681529 public health literature 0.693747 B. Thacker CDC 0.806041 et al 0.674303 study National Birth 0.693052 national survey data 0.691183 Thacker CDC Library 0.806025	CLICK HERE
5681	Centers for Disease Control and Prevention	Html	en	Ethyl acetate - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
6162	Centers for Disease Control and Prevention	Html	en	Tickborne Diseases of the U.S.	Information on ticks and tickborne disease. Provided by the U.S. Centers for Disease Control and Prevention.	red blood cells 0.560034 Gulf Coast 0.472001 South America 0.471868 Lyme disease 0.617415 Rocky Mountain states 0.554547 tick species 0.681358 human cases 0.488134 North America 0.480428 Ixodes cookei 0.574505 Dermacentor 0.522102 Powassan disease 0.481914 number patients 0.480588 Bourbon virus infection 0.566262 Rickettsia parkeri rickettsiosis 0.545991 Rickettsia phillipi 0.483976 northeastern states 0.480792 infected soft ticks 0.545896 Heartland virus cases 0.55553 pacific coast 0.634275 midwestern United States 0.571348 brown dog 0.522746 microscopic parasites 0.48693 American dog 0.474504 B. burgdorferi 0.487364	Lone Star ticks 0.569824 new disease 0.476634 northeastern U.S. 0.480291 Great Lakes region 0.53701 Amblyomma maculatum 0.486718 blacklegged ticks 0.603553 new species 0.480703 upper midwestern U.S. 0.696508 tick-associated rash illness 0.539638 western blacklegged tick 0.931201 United States 0.689756 Ixodes pacificus 0.673381 Ixodes scapularis 0.645338 eastern U.S 0.543395 Rocky Mountain wood 0.663786 Amblyomma americanum 0.493927 southern United States 0.66974 tick bites 0.746972 Colorado tick fever 0.773456 Babesia microti 0.564893 Ambylomma americanum 0.562657 lone star 0.691831 Borrelia mayonii 0.502641 humans 0.493909	CLICK HERE
6474	Centers for Disease Control and Prevention	Html	en	Prevalence of asthma among adults in metropolitan versus nonmetropolitan areas in Montana, 2008	The objective of this study was to compare the prevalence of asthma among adults living in metropolitan versus nonmetropolitan counties in Montana.	potential respondents 0.32404 United States 0.48823 current asthma prevalence 0.463037 logistic regression analyses 0.354863 NMNA counties 0.352648 NMNA respondents 0.326313 Human Services 0.316175 Risk Factor Surveillance 0.355343 health insurance status 0.434816 Metro counties 0.316587 younger respondents 0.351386 nonwhite respondents 0.332844 rural areas 0.436078 asthma prevalence 0.7063 current asthma 0.618241 prevalence estimates 0.375534 public health 0.356965 Rural-Urban Continuum Codes 0.365209 lower annual household 0.343032 similar prevalence rates 0.342682 Montana 0.439779 metropolitan versus 0.327131 self-reported asthma 0.875559	multivariable logistic regression 0.36183 Asthma Call-back Survey 0.390825 versus nonmetropolitan counties 0.368869 self-reported current asthma 0.507405 metropolitan areas 0.319628 body mass index 0.366684 Obese respondents 0.35949 nonmetropolitan counties 0.518498 annual household income 0.704797 asthma 0.976911 urban areas 0.350002 potential geographic variation 0.342566 population 0.320873 respondents 0.590842 demographic risk factors 0.338256 Asthma Control Program 0.427773 current self-reported asthma 0.696858 sociodemographic characteristics 0.337352 metropolitan area 0.326743 American Indian/Alaska Native 0.34302 metropolitan county 0.435397 Behavioral Risk Factor 0.359453 self-reported asthma status 0.425227	CLICK HERE
6493	Centers for Disease Control and Prevention	Html	en	State-Specific Alcohol Consumption Rates for 2010	FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol.	Microsoft PowerPoint file 0.769119 North Carolina 0.767826 Education Past Activities 0.771502 Birth Defects 0.88992 Alcohol Spectrum Disorders 0.853272 Specific Groups Women 0.78447 Microsoft Word file 0.772536 Risk Factor Surveillance 0.909432 Healthcare Providers 0.775546 Women Aged 0.771987 Microsoft Excel file 0.768039 alcohol 0.969761 Tweet Share Compartir 0.772838 National Center 0.762794 Virgin Islands 0.765109 alcohol use* 0.763912 Facts Secondary Conditions 0.767136 Monitoring Alcohol 0.781024 page options Skip 0.8006 different file formats 0.771818 Multimedia Fact Sheets 0.76862 alcohol screening 0.914267 Apple Quicktime file 0.767689 Behavioral Risk Factor 0.909781 Adobe PDF file 0.767073	Developmental Disabilities 0.886231 Puerto Rico 0.762062 FASD Competency-Based Curriculum 0.934521 Allied Health Education 0.899481 Search Form Controls 0.95019 South Carolina 0.766828 State-Specific Weighted Prevalence 0.934581 West Virginia 0.769243 Information For… 0.772937 Alcohol-Exposed Pregnancies CHOICES 0.768055 North Dakota 0.767666 Highlights importance 0.763491 New York 0.775663 Rhode Island 0.766985 Competency-Based Curriculum Development 0.912233 Search Controls 0.792 South Dakota 0.766669 Curriculum Development Guide 0.912203 New Jersey 0.775997 Policy Makers 0.776391 New Mexico 0.777713 New Hampshire 0.778051 CDC Vital Signs 0.933727 Weighted Prevalence Estimates 0.921378	CLICK HERE
7122	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables - June 8, 2012	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	H. influenzae 0.385249 National Center 0.300808 cases 0.400567 CDC 0.294945 novel influenza 0.647469 Total case counts 0.456629 pandemic influenza 0.95711 measles cases 0.341826 ** Data 0.346606	Cumulative total E. 0.474669 Influenza Division 0.446587 2009 pandemic 0.764592 probable cases 0.327724 Respiratory Diseases 0.307657 rubella cases 0.309944 human infection 0.330271 influenza A virus 0.483901	CLICK HERE
8437	Centers for Disease Control and Prevention	Html	en	Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use	Tips From Former Smokers campaign resources, including buttons, images, print ads, videos, podcasts, and more. The Tips from Former Smokers campaign features real people suffering as a result of smoking and exposure to secondhand smoke.	tobacco prevention efforts 0.893546 CDC partner 0.797467 Newsroom 0.393894 additional resources page 0.831981 videos 0.350995 sites 0.345582 textbooks 0.370936 social media content 0.913243 member 0.349265 state 0.345898 press 0.349159 CDC’s Tips 0.768836 specific audiences 0.646138	buttons 0.364432 Smokers Download Center 0.899821 Smokers® campaign resources 0.912213 community 0.345827 list 0.345028 PSAs 0.427405 badges 0.370422 print ads 0.624152 broadcast-quality ads 0.596683 Media Campaign Resource 0.861312 media buy 0.601614 free materials 0.60652 word 0.355109	CLICK HERE
11610	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Sociodemographic Correlates of Meeting US Department of Health and Human Services Muscle Strengthening Recommendations in Middle-Aged and Older Adults - CDC	A growing body of evidence demonstrates the health benefits of muscular strength training. Physical activity recommendations encourage all adults to participate regularly in muscle strengthening activities. The purpose of this study was to examine the prevalence of meeting the US Department of Health and Human Services (DHHS) muscular strengthening recommendations by middle-aged and older adults and the sociodemographic characteristics associated with meeting these recommendations, using data from the 2011 Behavioral Risk Factor Surveillance System (BRFSS).	high school 0.413901 regression analyses 0.495645 Risk Factor Surveillance 0.38419 high school education 0.379047 health outcomes 0.380472 major muscle groups 0.365412 Sports Medicine/American Heart 0.38727 skeletal muscle strength 0.386312 multiple regression analyses 0.449979 strength training 0.996251 muscle strengthening activities 0.888343 body mass index 0.385057 muscle strengthening exercises 0.377227 muscular strength training 0.479237 aerobic physical activity 0.371065 health status 0.36267 respondents 0.457694 regular participation 0.365406 DHHS muscle 0.408516 strength training activities 0.388722 muscle strengthening recommendations 0.660946 sociodemographic characteristics 0.413301 muscular strengthening recommendations 0.398334 Behavioral Risk Factor 0.384239 health benefits 0.370054	older adult participation 0.362662 muscle strengthening guidelines 0.387679 aerobic exercise recommendations 0.368177 sociodemographic variables 0.373675 logistic regression analyses 0.472397 multiple regression model 0.380722 normal weight respondents 0.368206 strength training recommendations 0.765318 non-Hispanic blacks 0.380929 strength training increases 0.396704 physical activity recommendations 0.439063 physical function 0.400438 Medicine/American Heart Association 0.386131 non-Hispanic whites 0.377835 strength training data 0.395281 multiple logistic regression 0.444574 health 0.456788 strength training question 0.386901 skeletal muscle mass 0.363964 physical activity 0.564484 strength training participation 0.513254 older adults 0.720473 Arizona State University 0.36688 multiple regression 0.465221	CLICK HERE
12314	Centers for Disease Control and Prevention	Html	en	Diagnostic Criteria | Autism Spectrum Disorder (ASD) |NCBDDD	Autism Spectrum Disorders (ASDs) are a group of developmental disabilities that can cause significant social, communication and behavioral challenges. CDC is working to find out how many children have ASDs, discover the risk factors, and raise awareness of the signs.	various social contexts 0.553295 total lack 0.47684 multiple contexts 0.481886 repetitive patterns 0.599819 American Psychiatric Association 0.654921 Persistent deficits 0.523961 clinically significant impairment 0.528563 autistic disorder 0.480563 intellectual developmental disorder 0.54813 repetitive motor movements 0.541237 body language 0.47709 nonverbal communicative behaviors 0.564562 well-established DSM-IV diagnosis 0.524018 inflexible adherence 0.472372 excessive smelling 0.471785 simple motor stereotypes 0.530327 global developmental delay 0.530203 social demands 0.483476 language impairment 0.471929 small changes 0.471096 social interaction 0.554599 imaginative play 0.473266 comorbid diagnoses 0.475026 autism spectrum disorder 0.921987	abnormal social approach 0.564602 current severity 0.558913 social communication impairments 0.658088 normal back-and-forth conversation 0.540522 nonverbal communication 0.547329 genetic condition 0.527927 social communication 0.738107 social interactions 0.493885 facial expressions 0.473098 standardized criteria 0.479676 pervasive developmental disorder 0.543439 Statistical Manual 0.477887 comorbid catatonia 0.493913 intellectual impairment 0.47715 rigid thinking patterns 0.527117 early developmental period 0.532943 social-emotional reciprocity 0.487028 Coding note 0.571099 e.g. apparent indifference 0.53124 behavioral disorder 0.51469 nonverbal behavior 0.492054 eye contact 0.478519 additional code 0.574808	CLICK HERE