ARTICLES LIST

Clear Search

Select the Article Source National Cancer Institute Office of Dietary Supplements National Institute on Aging Healthfinder.gov National Institute of Child Health and Human Development Centers for Disease Control and Prevention Administration for Children and Families National Institute of Environmental Health Sciences National Library of Medicine National Institute of Allergy and Infectious Diseases National Center for Complementary and Integrative Health National Institute of Neurological Disorders and Stroke NIH Senior Health National Institute of Arthritis and Musculoskeletal and Skin Diseases Health and Human Services National Institute of General Medical Sciences National Institute of Dental and Craniofacial Research National Human Genome Research Institute Food and Drug Administration Center for Tobacco Products Public Health and Medical Emergency Support for a Nation Prepared Office of Disease Prevention and Health Promotion, Healthy People National Institute on Drug Abuse National Institutes of Health National Institute of Diabetes and Digestive and Kidney Diseases U S Food and Drug Administration National Institute on Deafness and Other Communication Disorders National Heart, Lung, and Blood Institute

Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
886	Centers for Disease Control and Prevention	Html	en	CDC's New Muscular Dystrophy Research | CDC Features	CDC’s Muscular Dystrophy Surveillance Tracking and Research Network is the only population-based muscular dystrophy tracking program in the United States. This program addresses gaps in public health research of muscular dystrophy.	Becker Muscular Dystrophies 0.522942 large number 0.42619 Research data 0.43173 early treatment services 0.440568 Population-based tracking 0.435088 boys 0.431555 population-based muscular dystrophy 0.668454 recent research study 0.444731 muscular dystrophy 0.95384 common Duchenne 0.455996 future research 0.443599 Research Network 0.451738 MD STARnet program 0.46038 diagnostic tests 0.424939 MD STARnet 0.541088 Population-based public health 0.454381 CDC growth charts 0.445453 body mass index 0.443532 medical services 0.424959 Muscular Dystrophy Surveillance 0.659794 Dystrophy Surveillance Tracking 0.571858 growth reference standards 0.445759 newborn screening 0.439412 MD STARnet research 0.457369 rare conditions 0.425089	ceased ambulation 0.433692 Becker muscular dystrophy 0.667804 United States 0.533844 new research information 0.447384 duchenne muscular dystrophy 0.828675 Future research studies 0.44343 large clinics 0.426092 multiple specialists 0.426385 recent scientific papers 0.444305 Key findings 0.423861 dystrophy clinical care 0.507085 healthcare professionals 0.444814 general pediatric population 0.441932 specific geographic area 0.445323 disease course 0.438216 muscular dystrophy specialty 0.61992 MD STARnet infrastructure 0.45378 promising clinical trials 0.441156 medical care 0.427791 clinic data 0.426103 U.S. general population 0.442533 MD STARnet locations 0.46188 growth charts 0.464414 specialty clinics 0.443281	CLICK HERE
5271	Centers for Disease Control and Prevention	Html	en	Health Literacy Activities by State	Health Literacy Activities by State, including state data and related links	health care industry 0.458618 health literacy initiative 0.705764 Minnesota Health Literacy 0.598787 Antonio Health Literacy 0.584395 literacy collaborations 0.544181 Regional Health Literacy 0.586046 Health Literacy Partnership 0.597906 Health Literacy Collaboration 0.605063 Massachusetts Health Literacy 0.5902 Health Literacy Missouri 0.588396 Wisconsin Health Literacy 0.589646 health care providers 0.477536 family literacy programs 0.570602 Health Education Center 0.45699 clear health communication 0.47525 health literacy services 0.62002 Texas health literacy 0.582337 Intercultural Health Communication 0.459295 health literacy 0.939955 Colorado Health Literacy 0.611459 low health literacy 0.583212 Oklahoma Health Literacy 0.578493 Health Literacy Coalition 0.702502 health literacy resources 0.59695 Health Literacy Kentucky 0.59289	Oklahoma Health Equity 0.464436 health literacy skills 0.596542 family literacy 0.57276 major public health 0.456947 Wisconsin Literacy 0.542691 Florida Health Literacy 0.601212 limited health literacy 0.591969 Health Equity Campaign 0.464672 health literacy committee 0.578145 Florida Literacy Coalition 0.585383 health care 0.481625 public health 0.462854 Health Literacy Arizona 0.607807 family literacy agencies 0.553839 Wake Health Literacy 0.581699 health literacy issues 0.593782 poor health literacy 0.58983 Arizona Health Literacy 0.629059 City Health Literacy 0.585383 health literacy focus 0.621882 health literacy activities 0.620248 Literacy Assistance Center 0.594776 Health Literacy Kansas 0.594354 Center Health Literacy 0.589667	CLICK HERE
9921	Centers for Disease Control and Prevention	Html	en	NIOSH Program Portfolio : Total Worker Health : r2p	The TWH™ Program includes an intramural component and an extramural component, comprised of four Centers of Excellence to Promote a Healthier Workforce. Both of these components conduct research on the integration of health protection and health promotion; communication of current knowledge, successful approaches, and challenges, and advocacy of the concepts and practices of total worker health to our partners and stakeholders.	extensive investigator experience 0.59469 worker involvement 0.542147 Harvard School 0.58958 New England Research 0.676699 mental health 0.59469 Healthier Workforce Center 0.841518 Total Worker Health® 0.656368 Cancer Institute Center 0.654868 research findings 0.949281 Public health Center 0.746606 NIOSH Center 0.648127 Partners Health Care 0.684012 occupational ergonomic interventions 0.662833 reduced job stress 0.589312 safer work practices 0.602151 occupational health 0.757129 worker health promotion 0.753729 new research 0.578007 Boston University School 0.631957 cardiovascular health 0.590589 workplace solutions 0.590514 New England Workplace 0.852729 effective prevention practices 0.654635 national WorkLife Centers 0.630171	musculoskeletal health 0.593116 healthy workforce center 0.792305 oregon healthy workforce 0.767044 personal health risk 0.702271 employee health programs 0.671156 Iowa Healthier Workforce 0.816246 collaborative research-to-practice initiative 0.601634 NIOSH-funded research findings 0.740257 technology-based interventions 0.53854 NIOSH initiative 0.631401 Science University 0.533523 psychosocial stress hazard 0.608432 Community-Based Research 0.565483 worker protection 0.554593 Education Research Center 0.705056 Portland State University 0.62411 improved lifestyle choices 0.586369 physical health 0.583296 health promotion interventions 0.897406 research goal 0.575456 effective products 0.531178 Occupational Health Psychology 0.700652 effective NIOSH 0.642944	CLICK HERE
9961	Centers for Disease Control and Prevention	Html	en	CDC Online Newsroom - Give the Gift of Health and Safety: Healthy Living Holiday Tips	Give the Gift of Health and Safety: Healthy Living Holiday Tips	Healthy Living Holiday 0.86251 Gift 0.317926	CDC Online Newsroom 0.990683 Safety 0.317391	CLICK HERE
10010	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Online Grocery Store Coupons and Unhealthy Foods, United States - CDC	Grocery store coupons influence shoppers’ food purchases. We performed a content analysis of online store coupons from 6 national grocery chains. Of 1,056 online store coupons available during the 4-week study period, 25% were for processed snack foods, candies, and desserts (the largest category). Approximately 12% of coupons were for beverages, more than half of which were for sodas, juices, and sports/energy drinks.	perishable food items 0.460772 advertised food items 0.47723 dietary patterns 0.433336 consumption patterns 0.437958 coupons 0.982439 important driver 0.437325 healthy food items 0.480938 food purchases 0.422807 retail chain 0.434383 retail grocery chains 0.476186 Economic Research Service 0.599537 grocery stores 0.442609 ChooseMyPlate.gov food groups 0.460795 coupon usage rate 0.439575 grocery store purchases 0.505851 4-week period 0.533286 Francisco General Hospital 0.504046 grocery store chains 0.47119 Agric Econ 0.434923 online coupons 0.912448 United States 0.499856 online store coupons 0.914509 average weekly purchases 0.422206 Food Marketing Institute 0.443405 public health priorities 0.452562	Food prices 0.461797 vegetables 0.460897 General Internal Medicine 0.524282 fruits 0.475766 manufacturer coupons 0.585306 online coupon programs 0.50691 grocery retailers 0.530816 public health 0.644233 unhealthful foods 0.500116 unprocessed meats 0.4763 food items 0.56366 national grocery chains 0.486462 San Francisco General 0.506322 San Francisco 0.636445 4-week study period 0.4903 food purchasing behaviors 0.462761 obesity epidemic 0.429398 food items retailers 0.491892 California San Francisco 0.438512 content analysis 0.505866 public health problem 0.428274 Public Health Service 0.429194 snack foods 0.494462 Grocery store coupons 0.762328	CLICK HERE
12606	Centers for Disease Control and Prevention	Video	en	Video: CDC Responds to Meningitis in Burkina Faso	Epidemics of bacterial meningitis in Africa can affect hundreds of thousands of people and kill many thousands. CDC's Dr. Rana Hajjeh describes how CDC has contributed to development of an inexpensive vaccine and is now working with partners to ensure it is used where needed most and evaluated for effectiveness. 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/globalhealth/video/meningitis/meningitis.htm	Burkina Faso 0.948699 CDC Responds 0.871575	Meningitis 0.638184	CLICK HERE
12998	Centers for Disease Control and Prevention	Html	en	C. difficile information for clinicans | HAI | CDC	null	careful antibiotic 0.228096 culture results 0.224398 patient transfers 0.208701 antimicrobial stewardship 0.20438 United States 0.306997 Hand sanitizer 0.224196 hospital stay 0.2019 spore-killing disinfectant 0.218481 Wear gloves 0.215901 patient discharge 0.21474 daily basis 0.207754 infectious disease death 0.293575 important cause 0.205669 Supplement cleaning 0.209959 unformed stools 0.218579 C. difficile 0.940336 C. difficile infection 0.811024	antibiotic resistance 0.220115 national priority 0.200164 Dr. Nimalie Stone 0.446876 short visits 0.212092 Poor prescribing practices 0.288754 C. difficile test 0.710458 hand washing 0.21006 testing methods 0.201697 patients 0.243474 C. difficile infections 0.810275 Clean room 0.208197 infection control recommendations 0.293181 initial diagnosis 0.204186 Isolate patients 0.229797 new facility 0.206487 Dr. Carolyn Gould 0.288412 antibiotics 0.227412	CLICK HERE
13419	Centers for Disease Control and Prevention	Html	en	Community Knowledge, Attitudes, and Practices RegardingEbola Virus Disease - Five Counties, Liberia, September-October,2014	Miwako Kobayashi, MD1,2; Karlyn D. Beer, PhD1,3; Adam Bjork, PhD4; Kevin Chatham-Stephens, MD1,5; Cara C. Cherry, DVM1,6; Sampson Arzoaquoi, MD7; Wilmot Frank, MD8; Odell Kumeh, MD9; Joseph Sieka, MD10; Adolphus Yeiah, MD11; Julia E.	Ebola treatment unit 0.658494 Ebola treatment 0.706453 Ebola virus transmission 0.553738 Ebola symptoms 0.661072 Ebola survivors 0.551669 Ebola virus 0.620556 8Sinoe County Health 0.369505 Ebola outbreak 0.560479 Gee County Health 0.375275 Ebola transmission-free status 0.609827 Ebola transmission 0.746043 Survey respondents 0.401054 survey areas 0.386127 local health messages 0.370112 field team 0.42193 Ebola knowledge questions 0.570784 current Ebola awareness 0.545 timely health messages 0.375152 initial Ebola messaging 0.541127 low cumulative incidence 0.369664 Ebola patients 0.740025 CDC Liberia Ebola 0.591676 counties 0.441827 county health office 0.521325	Ebola 0.92633 lower Ebola incidence 0.593591 9Maryland County Health 0.369487 Ebola virus disease 0.608813 Ebola epidemic 0.529736 Ebola attitudes 0.546714 low-incidence counties 0.394323 median correct responses 0.410108 Sierra Leone 0.379323 Ebola cases 0.770321 Ebola health messages 0.566221 cultural practices 0.388164 Ebola incident cases 0.588033 high cumulative incidence 0.372609 health office staff 0.369548 Ebola awareness 0.564109 new Ebola cases 0.6407 Ebola knowledge 0.584101 River Gee 0.43596 Ebola practices 0.551868 7Bong County Health 0.369523 Ebola KAP survey 0.615832 Ebola incidence 0.62953 Ebola treatment units 0.678185	CLICK HERE
13632	Centers for Disease Control and Prevention	Html	en	Influenza Symptoms & Severity	The flu is a contagious respiratory disease that can cause mild to severe illness, and can even lead to death - CDC	influenza 0.382268 contagious respiratory illness 0.615079 death 0.359461 chronic congestive heart 0.555386 fever 0.331785 cold 0.330283 result 0.331245 times 0.330992 pregnant women 0.438684 pneumonia 0.382028 flu-related complications 0.471746 heart disease 0.427586 young children 0.434137	asthma attacks 0.454114 chronic medical conditions 0.554408 bronchitis 0.335528 flu viruses 0.747292 people 0.519332 flu 0.983157 healthy people 0.430361 symptoms 0.328901 chronic health problems 0.552259 sinus 0.333766 high risk 0.438226 ear infections 0.445139 severe illness 0.469962	CLICK HERE
15251	Centers for Disease Control and Prevention	Html	en	Skin Cancer Awareness | CDC Feature	Skin cancer is the most common cancer in the United States. To lower your skin cancer risk, protect your skin from the sun and avoid indoor tanning.	skin cancer risk 0.658146 skin cancer 0.942786 UV rays 0.773893 Unprotected skin 0.541821 skin cancer prevention 0.616362 Indoor tanning exposes 0.5834 SPF 0.424691 Sun Proof 0.503608 fun outdoors 0.502988 Wear sunglasses 0.507633 common sign 0.494785 damage skin 0.530851 fact sheets list 0.579839 recreation staff 0.494891 midday 0.427368 Kidtastics talk 0.495032 shade 0.424071 mole 0.41791 different types 0.519842 sore 0.421473 clothing 0.419464 UVB rays 0.695711 broad spectrum 0.504726 UVA 0.482252 sunscreen 0.436985	United States 0.519977 wide brim 0.517388 anybody 0.419241 indicates damage 0.507285 head 0.418708 common cancer 0.529092 sun protection factor 0.603548 podcast 0.433969 higher risk 0.497316 cases 0.420256 harmful effects 0.49822 change 0.449256 hard way 0.499247 Plan 0.417831 easy ways 0.495713 McKenna 0.419412 ears 0.42083 Cover 0.419478 layered approach 0.500233 new growth 0.498664 sun exposure 0.513641 time 0.434559 sweating 0.425548 melanoma survivor Sharon 0.597035	CLICK HERE