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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5404	Centers for Disease Control and Prevention	Html	en	Risks to health among American Indian/Alaska Native high school students in the United States.	null	data 0.441954 white students 0.446001 sports team 0.368758 separate prevalence estimates 0.428801 binge drinking 0.3805 AI/AN race category 0.385407 health risk behaviors 0.681123 significant difference 0.407632 moderate physical activity 0.418264 Alaska Native 0.471346 Risk Behavior Survey 0.410097 Disease Control 0.45224 Youth Risk Behavior 0.439238 black students 0.42782 vigorous physical activity 0.454526 overall response rates 0.395133 AI/AN high school 0.548764 racial/ethnic groups 0.545727 World Health Organization 0.415301 body mass index 0.422461 comparable risk behaviors 0.369968 health problems 0.387104 federally recognized AI/AN 0.377987 YRBS data 0.416409 private school students 0.406179	12th-grade students 0.374295 United States 0.477325 priority health risk 0.378268 AI/AN people 0.373594 prevalence estimates 0.57231 high blood glucose 0.404864 prevalence 0.705015 Hispanic students 0.503172 AI/AN boys 0.463909 national Youth Risk 0.37701 urban air pollution 0.396342 Prevention growth charts 0.374353 nationally representative sample 0.385212 Healthy People 0.395381 public health 0.420692 AI/AN students 0.930531 AI/AN adults 0.382169 high school students 0.779496 white high school 0.420516 physical activity 0.46226 AI/AN girls 0.520103 high blood pressure 0.405819 American Indian/Alaska Native 0.438731 AI/AN youth 0.44117	CLICK HERE
7160	Centers for Disease Control and Prevention	Html	en	Pneumoconiosis and Advanced Occupational Lung Disease Among Surface Coal Miners - 16 States, 2010-2011	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.	bituminous coal miners 0.484696 coal miners 0.911838 surface miners 0.495737 respirable dust 0.396642 chest radiographs 0.401658 surface mining tenure 0.373529 dust exposure 0.374486 underground miners 0.45977 Advanced CWP 0.41665 coal mine operators 0.414935 respiratory disease 0.37152 underground coal mining 0.450144 total mining tenure 0.444051 underground coal miners 0.639854 advanced pneumoconiosis 0.43116 respirable crystalline silica 0.380428 coal mining workforce 0.422829 crystalline silica 0.383276 coal dust.§ NIOSH 0.398295 coal workers 0.511688 active surface coal 0.447623 Program mobile surveillance 0.371883 Coal Mine Health 0.428234 underground coal mines 0.405774	CDC. Pneumoconiosis prevalence 0.395622 respirable silica 0.366354 surface coal miner 0.411585 surface coal miners 0.555616 surface coal mines 0.505217 progressive massive fibrosis 0.399402 Occupational Safety 0.377125 r-type opacities 0.436534 coal mine dust 0.386282 Federal Coal 0.381111 non–Central Appalachian miners 0.440431 surface coal 0.557868 Respiratory Disease Studies 0.371125 CWP 0.551989 U.S. surface 0.366468 underground mining experience 0.415141 PMF 0.409185 ILO profusion subcategory 0.370094 Health Surveillance Program 0.402299 Occup Environ Med 0.396244 mining tenure 0.459703 surface mining experience 0.366945 periodic health surveillance 0.368041 prompt disease identification 0.371547	CLICK HERE
9134	Centers for Disease Control and Prevention	Html	en	Asthma - Interventions - Case Studies - YES WE CAN Children's Asthma Program - Intervention Research Outcomes	Interventions - Case Studies - YES WE CAN Children’s Asthma Program - Intervention Research Outcomes	program efficacy 0.32292 Dr. Thyne 0.709842 MAS Consultants 0.377297 CDC 0.216593 Hospital asthma clinic 0.912768 research efforts 0.332702 Research Director 0.340005 asthma epidemic 0.778967 health outcomes 0.365371 asthma care 0.750735 Health outcome data 0.511578 Pediatric Asthma Clinic 0.98728 strong advocate 0.321983	NAEPP guidelines 0.334248 Dr. LaMar Palmer 0.615801 important self-management element 0.519194 Mission Neighborhood Heath 0.504559 asthma 0.998423 San Francisco General 0.896904 asthma team 0.729538 case study 0.611793 post- intervention methodology 0.498787 patient education 0.321228 inner-city children 0.351312 asthma symptoms 0.717604 Francisco General Hospital 0.908838	CLICK HERE
9294	Centers for Disease Control and Prevention	Html	es	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0344	CDC - Wide Page example description goes here	Alabama county 0.549591 principales enfermedades 0.543354 CDC Radio Health 0.606553 Susan G 0.592497 fundación hugh kaul 0.678047 entertainment-education television drama 0.564305 participantes mensajes 0.548261 muertes prematuras 0.539542 Health Commun 0.62292 Prev Med 0.538837 diabetes among hispanics 0.652331 physical inactivity during 0.55989 Cody MJ 0.592963 US Census Bureau 0.557605 seguro médico 0.611081 grupo asesor 0.59031 Nutrition Examination Survey 0.558768 Frazier M 0.538509 Shermetria Massingale 0.537372 Health Educ Behav 0.580093 Estados Unidos 0.938517 CrossRef PubMed 0.916709 mala nutrición 0.582146 Chronic Disease Risk 0.579245 propensity score matching 0.563267	Third National Health 0.572105 entretenimiento pci media 0.569275 Diabetes Risk Test 0.651957 Communities Putting Prevention 0.563554 Does entertainment-education work 0.562563 MMWR Morb Mortal 0.559266 Lawrence Erlbaum Associates 0.555354 empresa constant contact 0.564724 Comparative cost effectiveness 0.558863 Border health strategic 0.57479 Salud Pública 0.6435 Massingale S 0.540127 Radio Nacional Pública 0.56944 Entertainment–Education Spanish-Language Radio 0.595147 alto contenido 0.573392 Constant Contact 0.60186 Novella Aimed 0.54252 única estación 0.73474 hispanos escogen actividades 0.612384 flesh is weak 0.554814 American Diabetes Association 0.646354 audiencia hispana meta 0.63768 Chronic Dis 0.63011 Kohler C 0.538618	CLICK HERE
9834	Centers for Disease Control and Prevention	Html	null	Preventing Chronic Disease | Methods for Translating Evidence-Based Behavioral Interventions for Health-Disparity Communities - CDC	Populations composed of racial/ethnic minorities, disabled persons, and people with low socioeconomic status have worse health than their counterparts. Implementing evidence-based behavioral interventions (EBIs) to prevent and manage chronic disease and disability in community settings could help ameliorate disparities.			CLICK HERE
10418	Centers for Disease Control and Prevention	Html	en	Florida EMS Fact Sheet'Data & Statistics'CDC	null	cardiovascular emergency response 0.504247 pre-hospital care 0.257329 care policies 0.250149 local EMS agencies 0.444757 slightly different denominators 0.498411 emergency care experts 0.355999 Disease Control 0.245351 acute cardiovascular events 0.354975 smallest number 0.321193 useful planning resource 0.29189 emergency care agency 0.36739 EMS agencies 0.729142 local EMS providers 0.431218 positive patient outcomes 0.315106 state summary report 0.306298 American Heart Association 0.378601 important role 0.325742 Federal Interagency Committee 0.312429 out-of-hospital cardiovascular crises 0.350137 current comprehensive statistics 0.336586 single agency 0.485972 critical care challenges 0.316847 survey 0.52199 emergency care 0.550595 largest number 0.318656	EMS Practices 0.664593 stroke-related emergency response 0.34928 local EMS managers 0.468313 heart attacks 0.268634 heart attack 0.337456 United States 0.341955 stroke events 0.268616 cardiovascular emergency care 0.399021 emergency medical services 0.35589 pre-hospital emergency 0.25448 important characteristics 0.296524 emergency medical care 0.527247 heart disease 0.910621 separate state summaries—one 0.304106 basic descriptive information 0.300472 survey results 0.253166 health care 0.252727 cardiovascular disease 0.44001 Stroke Prevention 0.268444 local EMS 0.544346 stroke patient encounters 0.349643 standardized telephone survey 0.342556 EMS capacity 0.454053 stroke-related deaths 0.260629	CLICK HERE
10940	Centers for Disease Control and Prevention	Html	en	Prostate Cancer Risk Factors	Research has found risk factors that increase your chances of getting prostate cancer.	parent 0.325152 risk factors 0.519941 disease 0.346196 prostate cancer risk 0.556729 greater his risk 0.406286 single gene 0.416196 father 0.32377 Research 0.32655 Certain genes 0.423701 medical experts 0.407202 Family history 0.418957	younger ages 0.411467 prostate cancer 0.971181 times 0.322606 son 0.322743 chances 0.333924 ethnic groups 0.409358 Race 0.322246 African-American men 0.412886 man 0.376003 brother 0.324205 child 0.323836	CLICK HERE
11723	Centers for Disease Control and Prevention	Html	en	Motor Vehicle Crash Injuries infographic	CDC Vital Signs - Motor Vehicle Crash Injuries	sobriety checkpoint 0.604447 practice 0.432175 car seat 0.946139 Mortality Weekly Report 0.78775 Query 0.43647 injuries 0.431695 CDC WISQARS 0.644633 child passenger restraint 0.772895 head-on 0.456002 Oct. 0.434304 GDL 0.449372 trip 0.456394 safe driver 0.592052 picture shows John 0.818984 ignition interlock 0.597879 long distances 0.597287 laws 0.432893 different state policy 0.778009 infographic shows 0.802936 work loss costs 0.784101 primary enforcement seat 0.794276 traffic stop 0.582688 fewer hospitalizations 0.668844 parents 0.432851 harm 0.436748	John job 0.627617 box 0.437522 belt law 0.586219 motor vehicle crash 0.83415 Promotion 0.431447 Source 0.472349 life 0.431411 driver licensing 0.587022 family mini-van 0.62768 Web-based Injury Statistics 0.818243 fewer ED visits 0.820388 MMWR 0.434325 grandson 0.438425 police officer 0.58158 Reporting 0.437784 people 0.467158 Morbidity 0.447159 stage 0.431433 medical costs 0.608715 learner 0.440694 CDC Vital Signs 0.792138 ages 0.434388 information 0.431369 time 0.432195	CLICK HERE
12458	Centers for Disease Control and Prevention	Video	en	Feeling Worse After Treatment? Maybe It’s Not Lyme Disease	Robert’s story begins with a history of joint pain/stiffness, memory loss, and numbness and tingling in both hands. He is diagnosed with chronic Lyme disease and treated with long-term antibiotics. His symptoms worsen and he begins to lose sight in the right eye. Evaluation by a neurologist and an ophthalmologist leads to the diagnosis of a pituitary tumor—not Lyme disease. Robert has now has permanent heart and kidney disease, joint pain, and severe obstructive sleep apnea as a result of the incorrect diagnosis and treatment. If you’ve had treatments for Lyme disease and still don’t feel better, please get a second opinion. An incorrect diagnosis can lead to permanent damage or death. 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/lyme/videos/boulay/RobertBoulay_Lyme_Revised.wmv	Treatment 0.656575	Lyme Disease 0.98786	CLICK HERE
14105	Centers for Disease Control and Prevention	Image	null	Heart Age Infographic | Examples of actual age vs. heart age	null			CLICK HERE