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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5610	Centers for Disease Control and Prevention	Html	en	Perchloromethyl mercaptan - 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
6853	Centers for Disease Control and Prevention	Html	en	Medscape CME Activity - CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0244	Sleep problems, including insomnia, apnea, and restless legs syndrome, are common, burdensome, and under-recognized in the United States. We sought to examine the association of sleep problems with diabetes among community-dwelling US adults.	poor sleep 0.455218 Heart Health Study 0.383779 AMA PRA Category 0.377578 multiple sleep problems 0.506051 sugar diabetes 0.401885 Diabetes duration 0.398416 AMA PRA 0.390216 various sleep problems 0.541039 excess sleep 0.46977 subsequent sleep problems 0.496546 National Sleep Foundation 0.490557 frequent daytime sleepiness 0.430741 female diabetes populations 0.408016 frequent sleeping pill 0.41503 habitual sleep restriction 0.469787 report inadequate sleep 0.513063 undiagnosed sleep problems 0.524261 Sleep Heart Health 0.533059 sleep medicine 0.448723 frequent self-reported apnea 0.382559 leg symptoms 0.559245 Nutrition Examination Survey 0.381602 sleep apnea 0.610363 mental health problems 0.382425	cardiovascular disease 0.406454 blood pressure 0.389606 sleep disorders 0.516661 sleep onset latency 0.487811 multivariable logistic regression 0.379649 sleep questionnaire 0.481884 restless legs syndrome 0.393627 daytime sleepiness 0.462544 sleep problems 0.931397 self-reported sleep problems 0.586973 common sleep problem 0.478163 restless legs symptoms 0.465847 common sleep problems 0.554042 San Francisco 0.39773 sleep disorder 0.53408 inadequate sleep 0.689753 Health Study Sleep 0.506844 treatable sleep problems 0.492179 diabetes 0.653669 body mass index 0.4164 diabetes status 0.442906 severe sleep deprivation 0.604015 restless legs 0.560731	CLICK HERE
7565	Centers for Disease Control and Prevention	Html	en	ADHD - PLAY Study Design (Project to Learn About ADHD in Youth)	ADHD is one of the most common neurobehavioral disorders of childhood. It is usually first diagnosed in childhood and often lasts into adulthood. Children with ADHD have trouble paying attention, controlling impulsive behaviors (may act without thinking about what the result will be), and in some cases, are overly active.	high school 0.581096 diverse populations 0.581488 school-based samples 0.580656 in-depth assessment 0.632878 children 0.716272 multiple waves 0.587026 semi-annual data collection 0.642536 school districts 0.659501 ADHD Prevalence 0.765312 brief quarterly contacts 0.637812 ADHD diagnosis 0.760637 ADHD Criteria 0.753996 high number 0.57914 school elementary students 0.650896 Robert E. McKeown 0.665058 ADHD Change Depending 0.815472 high risk 0.579002 ADHD symptoms 0.840908 similar assessment protocols 0.634809 public health impact 0.659507 geographical settings 0.58258 role ADHD 0.777014 research sites 0.588051 low risk 0.577366	ADHD 0.985559 community study 0.582031 Oklahoma Health Sciences 0.659832 baseline assessment 0.592337 South Carolina 0.659116 additional waves 0.576995 comprehensive picture 0.576304 certain ADHD symptoms 0.807307 additional studies 0.575668 investigator Mark L. 0.663381 Data analysis 0.57917 low number 0.577461 study population 0.591295 annual in-depth interviews 0.637352 data collection 0.646223 school-based sample 0.590547 follow-up project 0.576288 children’s development 0.605804 baseline study 0.607282 core set 0.574718 principal investigator 0.653524 comparison group 0.575956 site-specific measures 0.578368 PLAY study methods 0.674449	CLICK HERE
8087	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | An Integrated Framework for Assessing the Value of Community-Based Prevention: A Report of the Institute of Medicine - CDC	Since the early 1900s, the major causes of illness and death in the United States have changed from infectious disease to chronic disease. Recognition is growing that nonclinical community- and population-based prevention has a large role in improving the public’s health and well-being.	intelligent decision making 0.606034 HIV transmission rates 0.605175 state policy implications 0.611171 nonclinical community 0.619096 senior program assistant 0.607237 IOM study committee 0.63172 population-based prevention 0.613818 Prev Chronic Dis 0.619046 California Endowment 0.616615 important step 0.611631 Wood Johnson Foundation 0.715076 W.K. Kellogg Foundation 0.714115 new framework 0.722082 Beaumont Foundation 0.614742 Integrated Framework 0.653411 health inequalities 0.60412 community process 0.825324 Lyla M. Hernandez 0.687797 health sector 0.606567 public’s health 0.64594 Hopkins Bloomberg School 0.677103 nonclinical prevention policies 0.65943 overall health 0.613302 decision makers 0.661718 community benefit 0.637129	quality-adjusted life 0.614429 community-based prevention interventions 0.72263 Angeles County Department 0.603404 health-adjusted life expectancy 0.710539 community health promotion 0.705255 Good-quality cost data 0.607758 Johns Hopkins Bloomberg 0.67225 IOM study staff 0.624196 community well-being 0.863956 Robert Wood Johnson 0.713966 community-based prevention intervention 0.703066 Public Health Practice 0.666281 community-based prevention 0.993555 value 0.760566 public health 0.856233 Robert S. Lawrence 0.675955 Nicolaas P. Pronk 0.707933 Health Promotion Department 0.65004 Health risks 0.620418 public health workers 0.686132 Public Health Service 0.663653 Health behaviors 0.621106 potential legitimacy problem 0.604097 Non-Clinical Prevention Programs 0.746654	CLICK HERE
8981	Centers for Disease Control and Prevention	Video	en	CDC: Tips from Former Smokers - Nathan: "I never smoked a day in my life!"	Nathan was Lakota, a member of the Oglala Sioux tribe, and never smoked. However, he worked in a facility where smoking was allowed, and experienced health problems as a result. In this video from CDC's Tips From Former Smokers campaign, Nathan describes his health problems—including asthma—triggered by exposure to secondhand smoke. He had to give up many activities he loved, including tribal dancing, because of damage to his lungs. That damage led to his early death at age 54. 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://streaming.cdc.gov/vod.php?id=cffaad4ff59ef8601e66780918669cef20130605130611015	Smokers 0.923068 CDC 0.901732 Nathan 0.85422	YouTube 0.846462 life 0.430486	CLICK HERE
9883	Centers for Disease Control and Prevention	Html	en	Adult Smoking in the US infographic	CDC Vital Signs - Adult Smoking in the US	North Carolina 0.386141 postgraduate degree 0.394539 National Health Interview 0.959938 individuals 0.316141 Utah 0.315448 Hispanic adults 0.441344 percentage 0.416217 education level 0.396633 GED certificate 0.397526 racial/ethnic group 0.401863 Montana 0.315449 poverty level 0.585934 Health Interview Survey 0.959705 white adults 0.444199 Kansas 0.31548 California 0.315459 Delaware 0.315531 Florida 0.315521 Iowa 0.31549 Illinois 0.315501 Georgia 0.315511 Behavioral Risk Factor 0.464403 education estimates 0.395219 women 0.319865 Maine 0.31547	adults 0.769731 U.S. Map 0.391684 South Carolina 0.386056 Indian/Alaska Native adults 0.534217 black adults 0.44331 West Virginia 0.388599 Colorado 0.315542 men 0.31996 adult smoking prevalence 0.466815 North Dakota 0.388924 New York 0.391745 Rhode Island 0.38757 college experience 0.394988 sex 0.318652 South Dakota 0.387303 Statistics 0.397344 New Jersey 0.391838 Michigan 0.315459 multiple-race adults 0.445091 New Mexico 0.393289 New Hampshire 0.393382 high school diploma 0.467199 Asian adults 0.441673 age 0.31612	CLICK HERE
12569	Centers for Disease Control and Prevention	Video	en	New Tool to Prevent Infections During Chemotherapy	This video discusses an educational Website for cancer patients receiving chemotherapy that may be utilized by oncology providers. Preventing Infections During Cancer Treatment is aimed at reducing infections in cancer patients. 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://streaming.cdc.gov/vod.php?id=3f59a10c087bb6956c4a0aa82e0bd2b220130910104918187	Chemotherapy 0.819024 New Tool 0.821563	YouTube 0.795452	CLICK HERE
12655	Centers for Disease Control and Prevention	Video	en	CDCTV Rain That Dances introduces Thunder Cloud	Rain That Dances introduces Thunder Cloud, his best friend, to Mr. Eagle who encourages the boys to be physically active every day. 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/KneesLifted/index.html	Knees 0.800925	Lifted High 0.932421	CLICK HERE
12880	Centers for Disease Control and Prevention	Html	en	Advisory Committee on Immunization Practices (ACIP) reaffirms recommendation for annual influenza vaccination	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	CDC Director 0.502948 influenza infection 0.529204 Mortality Weekly Report 0.557117 vaccine effectiveness estimate 0.712249 earlier studies 0.492953 drifted viruses 0.521536 2014-2015 preference 0.505095 Disease Control 0.492538 IIV vaccine effectiveness 0.71766 children 0.512682 influenza vaccine recommendations 0.787434 healthy children 0.50205 predominant H3N2 viruses 0.599941 H3N2 viruses 0.729945 vaccine effectiveness 0.887309 new data 0.666233 Network study sites 0.550676 influenza prevention 0.528516 immunization experts 0.497888 superior effectiveness 0.522143 LAIV 0.535273 interim data 0.49627 Limited data 0.494283 age group 0.494979	recent seasons 0.491973 ACIP charter 0.652272 flu vaccine 0.811202 Immunization Practices 0.509048 vaccine virus 0.593476 Advisory Committee 0.506295 vaccine viruses 0.627848 LAIV effectiveness 0.516358 ACIP 0.930676 preferential recommendation 0.61069 spray flu vaccine 0.774218 ACIP recommendation 0.643096 2013-2014 season 0.492527 official CDC policy 0.572608 measurable effectiveness 0.521049 annual influenza vaccine 0.928784 influenza seasons 0.543628 vaccine 0.966748 nasal spray vaccine 0.874108 flu shot 0.617767 influenza viruses 0.556742 predominant virus 0.494246 confidence interval 0.561135 better protection 0.578298	CLICK HERE
15921	Centers for Disease Control and Prevention	Html	en	Program Evaluation Steps	Program evaluation is essential to public health. The Centers for Disease Control and Prevention sets standards for evaluation, develops evaluation tools and resources, and provides support for evaluation capacity-building.	greatest concern 0.618991 large number 0.606688 sources 0.52022 purpose 0.520871 methods 0.520821 Gather credible evidence 0.762159 questions 0.520834 aspects 0.520294 evidence gathering 0.64661 Gathering Credible Evidence 0.751926 foundation 0.52336 public health effort 0.746396 evaluation standards 0.6739 recommendations 0.540587 issues 0.521093 countless potential stakeholders 0.747093 subsequent progress 0.632077 credibility 0.525068 evaluation judgments 0.626785 additional details 0.946509 order 0.523462 Justify conclusions 0.73261 primary users 0.622656	particular point 0.628231 quantity 0.521096 need 0.521546 Sharing Lessons Learned 0.698859 potential ways 0.603627 logic model 0.724576 program operations 0.624552 resources 0.543543 agreements 0.520406 indicators 0.519696 earlier steps 0.641686 quality 0.520207 potential levels 0.604226 analysis/synthesis 0.531511 effects 0.521526 perceptions 0.523408 stage 0.521488 Engaging Stakeholders 0.68626 activities 0.521514 elements 0.519573 evaluation reports 0.613428 time 0.545705 agreed-upon values 0.610672	CLICK HERE