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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1227	Centers for Disease Control and Prevention	Html	en	Drowsy Driving and Risk Behaviors - 10 States and PuertoRico, 2011-2012	Anne G. Wheaton, PhD1, Ruth A. Shults, PhD2, Daniel P.	collision avoidance systems 0.465129 binge drinkers 0.495152 Janet B. Croft 0.481501 adult respondents 0.475312 binge drinking 0.560862 risk behaviors 0.522002 smoking status 0.522224 fatal motor vehicle 0.487135 state health departments 0.475081 alcohol-impaired driving crashes 0.546874 National Center 0.46328 Daniel P. Chapman 0.482915 response rate 0.470162 insufficient sleep 0.492125 Unintentional Injury Prevention 0.469634 blood alcohol content 0.51898 respondents 0.519396 sleep-related crashes 0.497868 self-reported smoking status 0.475349 Frequent insufficient sleep 0.486966 Earl S. Ford 0.480362 Behavioral Risk Factor 0.480301 drowsy driving 0.977924 Puerto Rico 0.715395	drowsy drivers 0.595427 United States 0.521919 drowsy driving prevalence 0.629866 non-drowsy driving crashes 0.533605 Ruth A. Shults 0.483501 motor vehicle injury 0.533622 Anne G. Wheaton 0.548415 Traffic Safety Administration 0.467062 highway safety countermeasures 0.46541 fatal crashes 0.494136 sleep disorders 0.484508 random-digit–dialed telephone survey 0.479021 response rates 0.507927 non-binge drinkers 0.484229 complex sampling design 0.472121 vehicle injury prevention 0.533465 median survey response 0.487205 Chronic Disease Prevention 0.467391 drowsy driving crashes 0.81755 wear seatbelts 0.500559 longer drowsy 0.548712 optional sleep module 0.544268 Community Preventive Services 0.468516 motor vehicle crashes 0.586186	CLICK HERE
5597	Centers for Disease Control and Prevention	Html	en	Picric acid - 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
6457	Centers for Disease Control and Prevention	Html	en	Metabolic syndrome among adults in New York City, 2004 New York City Health and Nutrition Examination Survey	The objective of this study was to describe the prevalence of and factors associated with metabolic syndrome among adult New York City residents.	high school 0.478831 MetS screening 0.523363 higher prevalence 0.489828 high LDL cholesterol 0.580341 Adult Treatment Panel 0.488016 NYC population 0.489089 NYC HANES 0.526438 New York City 0.926454 abdominal obesity 0.701893 CVD risk 0.500395 Nutrition Examination Survey 0.653333 alcohol 0.552091 blood pressure 0.60803 certain MetS components 0.544921 MetS abnormality 0.541419 waist circumference 0.494069 body mass index 0.666173 metabolic abnormalities 0.676366 elevated CVD risk 0.492718 oral hypoglycemic medication 0.482244 York City residents 0.493213 metabolic syndrome 0.788139 MetS 0.940762 age-adjusted MetS 0.528788	women 0.574927 blood glucose 0.762202 overall age-adjusted prevalence 0.487148 United States 0.499001 prevalence 0.622525 MetS prevalence 0.585153 men 0.54678 low HDL cholesterol 0.521258 high school degree 0.476423 NYC 0.554127 NYC adults 0.478853 participants 0.498003 York City Health 0.56147 fasting blood glucose 0.510804 Cholesterol Education Program 0.497489 age-adjusted prevalence 0.543554 MetS definition 0.554743 National Cholesterol Education 0.497689 people 0.514484 elevated blood pressure 0.56339 MetS risk 0.541509 York City adults 0.527524 elevated triglycerides 0.506746 confidence intervals 0.486567	CLICK HERE
9029	Centers for Disease Control and Prevention	Video	en	A Time To Act | Fire-Related Injury and Death	Deaths from fires and burns are one of the most common causes of unintentional injury deaths in the United States. There are several steps you can take to reduce the risk of fire-related injury and death in the home. These include installing and regularly testing smoke alarms and practicing a fire escape plan at least twice a year. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://www.cdc.gov/cdctv/	Act 0.365045	Time 0.367813	CLICK HERE
9424	Centers for Disease Control and Prevention	Html	es	Usuarios del lenguaje por señas, desigualdades de salud y salud pública: una oportunidad para lograr justicia social	null	Smith SR 0.409687 salud pública 0.907277 Pearson TA 0.41158 Barnett S 0.413185	Estados Unidos 0.52852 Chronic Dis 0.414502 McKee M 0.413713 demanda acciones 0.403368	CLICK HERE
9941	Centers for Disease Control and Prevention	Html	en	Training Opportunities - Tribal Support	CDC/ATSDR Tribal Support is the primary link between CDC, the Agency for Toxic Substance and Disease Registry (ATSDR), and tribal governments. CDC/ATSDR’s tribal support activities focus on fulfilling CDC's supportive role in ensuring that American Indian/Alaska Native (AI/AN) communities receive public health services that keep them safe and healthy.	Tribal Applicants 0.584372 endorsement 0.450232 Washington School 0.573828 tribal training lectures 0.70684 navigation Skip 0.773063 in-person 0.448069 Disease Control 0.568947 Grant Writing Training 0.727715 CDC policy 0.596331 successful grant writing 0.726927 website 0.428076 list Skip 0.77139 partnership 0.429345	following training courses 0.741536 page options Skip 0.936826 trainings 0.554403 CDC/ATSDR 0.430745 Disclaimer 0.451833 Nursing 0.428637 University 0.428738 partners 0.430703 New training sessions 0.697286 series 0.428556 online 0.457345 information 0.506066 position 0.430058	CLICK HERE
11414	Centers for Disease Control and Prevention	Html	null	Start your Conversation | Talk About HIV/AIDS | We Can Stop HIV One Conversation | Campaigns | Act Against AIDS	Suggestions to start a conversation about HIV/AIDS with families, friends, and within Hispanic/Latino communities			CLICK HERE
11429	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of Partially Hydrogenated Oils in US Packaged Foods, 2012 - CDC	Although there is evidence that consumption of trans fat has declined in the United States, limited documentation exists on current levels of industrial trans fat in foods. We estimated the prevalence of partially hydrogenated oils in 4,340 top-selling US packaged foods. Nine percent of products in the sample contained partially hydrogenated oils; 84% of these products listed “0 grams” of trans fat per serving, potentially leading consumers to underestimate their trans fat consumption. Government efforts to eliminate partially hydrogenated oils from packaged foods will substantially reduce exposure to this known cardiovascular disease risk factor.	contain PHOs 0.47533 WK Kellogg Foundation 0.381192 foods 0.434992 Human Services 0.380851 Prev Chronic Dis 0.402386 trans fat label 0.655216 brand-name products 0.381413 New York City 0.446662 commonly consumed food 0.406689 Packaged Foods 0.405098 baked goods 0.398345 National Salt Reduction 0.472367 product trans 0.445945 Gail P. Goldstein 0.381516 food category 0.435809 cardiovascular disease risk 0.392636 NSRI food categories 0.433605 Stars Licensing Company 0.389441 NSRI Packaged Food 0.527901 potentially leading consumers 0.39231 Packaged Food Database 0.500014 NSRI database 0.41268 food service establishments 0.394447 food categories 0.507119	trans fat consumption 0.678713 trans fat content 0.575353 dietary trans 0.497586 industrial trans 0.70014 trans 0.719178 Initiative food category 0.399805 seasoned processed potatoes 0.470228 United States 0.40579 ingredient information 0.499358 main dietary source 0.394657 products 0.624588 Comparable PHO-free products 0.410819 Salt Reduction Initiative 0.468929 PHOs 0.724807 ingredient data 0.400864 cardiovascular disease 0.400686 FDA research findings 0.389426 consumers preparing foods 0.388002 risk factor 0.400549 York City Department 0.446648 trans fat intake 0.551021 fat label data 0.482948 Public Health Service 0.383421 partially hydrogenated oils 0.90628	CLICK HERE
11639	Centers for Disease Control and Prevention	Html	en	Men Living with Diagnosed HIV Who Have Sex with Men:Progress Along the Continuum of HIV Care - United States,2010	Sonia Singh, PhD1, Heather Bradley, PhD1, Xiaohong Hu, MS1, Jacek Skarbinski, MD1, H. Irene Hall, PhD1, Amy Lansky, PhD1 (Author affiliations at end of text).	National HIV/AIDS Strategy 0.428978 new HIV infections 0.482691 data 0.406237 United States population 0.369126 black/african american msm 0.955048 Hispanic/Latino MSM 0.489386 health outcomes 0.431572 older MSM 0.521598 HIV-related health disparities 0.424346 viral suppression 0.695973 Health care providers 0.377775 Diagnosed HIV 0.429072 viral suppression §§ 0.387893 H. Irene Hall 0.367958 lowest percentage 0.420578 ART prescription 0.460812 persons 0.386858 lower levels 0.362294 undetectable viral load 0.381014 HIV transmission categories 0.427628 health care settings 0.376754 human immunodeficiency virus 0.365699 white MSM 0.598051 recent viral load 0.366851	care 0.513991 Medical Monitoring Project 0.362633 Puerto Rico 0.438219 United States 0.597808 HIV-negative MSM 0.472225 MSM access 0.474129 National HIV Surveillance 0.432144 HIV Care Continuum 0.471651 MSM account 0.471261 highest percentage 0.365441 Sonia Singh 0.368226 unknown HIV status 0.413515 HIV Behavioral Surveillance 0.463193 HIV prevention efforts 0.41469 consistent viral suppression 0.379446 lowest level 0.390431 HIV incidence 0.390124 younger msm 0.52255 National HIV Behavioral 0.464932 medical care 0.376 routine HIV screening 0.414152 HIV 0.775392 HIV testing 0.409633 young MSM 0.47364	CLICK HERE
11669	Centers for Disease Control and Prevention	Html	en	Ebola Virus Disease Outbreak - Nigeria, July-September2014	On September 30, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	small Ebola outbreak 0.617412 Ebola contact 0.580656 national EOC 0.486177 Lagos 0.567174 Ebola contacts 0.583422 public health assets 0.492773 Ebola virus 0.794652 Ebola laboratory diagnosis 0.617561 Lagos State 0.536458 Ebola transmission 0.566949 Ebola treatment facilities 0.615964 Lagos University Teaching 0.502015 quality Ebola treatment 0.578065 World Health Organization 0.508271 contact tracing 0.465695 National Polio EOC 0.48873 available public health 0.496817 EOC response teams 0.506169 Ebola EOC IM 0.704003 Port Harcourt 0.499994 Ebola patients 0.557251 Lagos State Ministry 0.501633 Ebola 0.905522 Ebola virus disease 0.647052	state Ebola response 0.651876 Ebola emergency 0.613393 Incident Management Center 0.491797 Ebola virus infection 0.617335 possible Ebola 0.587783 Ebola exposure 0.577975 community Ebola assessment 0.583531 Lagos State government 0.512486 public health threats 0.477949 EOC Deputy IM 0.474327 index patient 0.474101 health care workers 0.466557 Ebola Incident Management 0.655041 public health emergency 0.490038 Nigeria 0.469669 public health 0.697718 Ebola symptom development 0.608393 Ebola EOC response 0.725774 laboratory-confirmed Ebola cases 0.725065 Ebola responses 0.586111 Ebola signs 0.556087 EOC case-management team 0.503717 case management team 0.518412 subsequent Ebola cases 0.601322	CLICK HERE