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
1029	Centers for Disease Control and Prevention	Html	en	MMWR - Differences by Sex in Tobacco Use and Awareness of Tobacco Marketing - Smoking & Tobacco Use	CDC's Office on Smoking and Health offers information related to smoking and tobacco use.	smoking cessation attempts 0.574486 excise tax rates 0.56342 Adult Tobacco Surveys 0.682198 current smokers 0.625326 GATS response rate 0.613187 Framework Convention 0.482273 cigarette excise taxes 0.604298 tobacco 0.991589 representative household survey 0.573278 large difference 0.482674 indirect advertising 0.480725 World Health Organization 0.547236 MPOWER package 0.485173 countries 0.536278 tobacco industry 0.586599 tobacco products 0.586144 cigarette marketing 0.903036 statistically significant difference 0.557729 women 0.854053 smoking prevalence 0.484569 current tobacco 0.602973 young adult women 0.566545 complex interaction 0.488683 U.S. government 0.489046 Thailand 0.598729	tobacco advertising 0.580812 South Carolina 0.486014 gender differences 0.485098 subnational estimates 0.499644 tobacco marketing 0.745844 men 0.672114 Adult Tobacco Survey 0.707132 gender-specific pattern 0.491051 sample respondent 0.485995 Rhode Island 0.482822 social factors 0.488419 Uruguay 0.63873 Tobacco use differences 0.602307 nationally representative data 0.569154 Global Adult Tobacco 0.847456 sample design 0.49851 Tobacco Control 0.584817 older women 0.50916 data collection 0.498978 management protocols 0.498496 smokeless tobacco 0.937641 Bangladesh 0.65118 continued implementation 0.481519 average excise tax 0.560255	CLICK HERE
1036	Centers for Disease Control and Prevention	Html	en	National Capacity for Surveillance, Prevention, and Controlof West Nile Virus and Other Arbovirus Infections - United States,2004 and 2012	James L. Hadler, MD1, Dhara Patel, MPH2, Kristy Bradley, DVM3, James M. Hughes, MD4, Carina Blackmore, DVM5, Paul Etkind, DrPH6, Lilly Kan, MPH6, Jane Getchell, DrPH7, James Blumenstock, MA8, Jeffrey Engel, MD2 (Author affiliations at end of text).	environmental surveillance 0.632701 Los Angeles County 0.517851 mosquito-borne virus surveillance 0.590502 current CDC guidance 0.51559 cooperative agreement funding 0.511231 arbovirus surveillance functions 0.575188 assessment 0.534415 arbovirus surveillance 0.637264 current arboviral threats 0.58941 arboviruses 0.653869 virus surveillance capacity 0.600096 standard case report 0.512811 mosquito surveillance systems 0.665005 jurisdictions 0.566772 arboviral disease case 0.594479 laboratory capacity 0.663129 recent CSTE assessment 0.52797 WNV surveillance 0.825623 mosquito-borne arboviral disease 0.602802 Mosquito surveillance capacity 0.78616 adult mosquitoes 0.566212 national surveillance platform 0.57469 laboratory surveillance capacity 0.685941 public health laboratories 0.549957 national arboviral surveillance 0.796318	United States 0.600691 avian mortality surveillance 0.700449 mosquito/environmental surveillance 0.524203 local health department 0.532756 arboviral activity 0.639942 adult mosquito surveillance 0.66282 additional mosquito surveillance 0.649866 city/county health departments 0.647254 health departments 0.739603 surveillance 0.967029 local health departments 0.61328 WNV 0.861473 local arboviral surveillance 0.668523 mosquito surveillance 0.842938 New York 0.583105 arboviral surveillance infrastructure 0.792997 arboviral disease 0.627725 dead bird surveillance 0.669687 active human surveillance 0.630529 mosquito pools 0.525001 West Nile virus 0.77847 arboviral surveillance capacity 0.68102 ELC funding 0.727907 current surveillance systems 0.79938	CLICK HERE
6097	Centers for Disease Control and Prevention	Html	en	Chlorine - 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
6450	Centers for Disease Control and Prevention	Html	en	Telebriefing on Results from the National Intimate Partner and Sexual Violence Survey (NISVS) - Press Briefing Transcript: December 14, 2011	Telebriefing on Results from the National Intimate Partner and Sexual Violence Survey (NISVS) November 10, 2011, Noon E.T.	howard spivak 0.626705 CDC 0.252696 maggie fox 0.253594 Dr. Degutis 0.201494 Sexual Violence Survey 0.353521 fran lowry 0.277451 intimate partner 0.71189 National Intimate Partner 0.261329 roni rabin 0.206532 rape 0.239918 policy implications 0.298014 huge policy implications 0.209126 llelwyn grant 0.428869 physical violence 0.262959	partner violence prevention 0.222953 press star 0.296121 local health departments 0.230326 violence 0.75936 violence prevention 0.238279 sexual violence 0.713691 question 0.576364 state level violence 0.260372 linda degutis 0.90683 mike stobbe 0.295183 molly peterson 0.211778 OPERATOR 0.210922 intimate partner violence 0.59582 time 0.209156	CLICK HERE
6659	Centers for Disease Control and Prevention	Html	en	Where's the sodium? - CDC Vital Signs	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	healthy diet 0.441209 Agricultural Research Service 0.528668 National Nutrient Database 0.527078 thinner slices 0.439277 high levels 0.4398 different sodium levels 0.730381 lower sodium food 0.700087 sodium solution 0.690836 restaurant foods 0.458233 favorite foods 0.449444 Sodium Consumption 0.673382 sodium Americans 0.707689 help reading labels 0.465652 bread slices 0.437089 heart disease 0.473629 words salt 0.437036 chicken noodle soup 0.466414 turkey breast luncheon 0.465768 processed poultry 0.443326 mg 0.449015 sodium eaten 0.702148 National Salt Reduction 0.461537 sodium increases 0.734403 lower sodium foods 0.769021	lower sodium choices 0.734984 pasta dishes 0.43718 U.S. Dietary Guidelines 0.466955 similar procurement guidelines 0.46097 surprising ways 0.437928 tomato sauce 0.437525 Sodium Tip Sheet 0.71297 lowest sodium options 0.694569 health care dollars 0.475561 Signs Issue details 0.463413 lower sodium 0.793099 Consume Less Sodium 0.675972 Standard Reference 0.470317 different types 0.437405 sodium 0.924323 sodium options 0.710167 total sodium content 0.709951 high blood pressure 0.536099 vascular diseases 0.440328 current manufacturer 0.470269 Nutrition Facts label 0.526176 cold cuts 0.437508 sodium people 0.669588	CLICK HERE
7199	Centers for Disease Control and Prevention	Html	en	Unintentional Drowning: Get the Facts	null	three-sided property-line fencing.12 0.605627 Injury Prevention 0.801581 swimming ability 0.778197 Product Safety Commission 0.66366 United States 0.72293 natural water settings 0.693957 children 5-19 drown 0.6841 African Americans 0.604755 children ages 0.607222 home swimming 0.658003 seizure disorders 0.644959 self-reported swimming ability 0.728577 childhood drowning 0.718997 S. Consumer Product 0.66385 unintentional injuries 0.663367 nonfatal drowning injuries 0.840657 children 0.794212 case-control study 0.604206 unsupervised water access 0.64254 water-related recreational activities 0.619452 swimming pools.2 Drowning 0.884974 young children 0.697305 formal swimming lessons 0.910125 recreational water illnesses 0.624686	four-sided pool fence 0.622526 Web-based Injury Statistics 0.612106 Seizure Disorder Safety 0.616071 National Center 0.60415 basic swimming skills 0.654217 life jackets 0.912487 unintentional injury death 0.78905 Consumer Product Safety 0.663669 fatal unintentional drownings 0.710344 unintentional injury-related death 0.685837 nonfatal submersion injuries 0.625559 wear life jackets 0.717882 unintentional drowning rate 0.890953 pool area 0.749145 emergency department care 0.620585 highest drowning rates 0.837338 shallow water blackout 0.621445 fatal unintentional drowning 0.967152 U. S. Consumer 0.663859 severe brain damage 0.607158 pool fencing 0.658925 motor vehicle crashes 0.611631 permanent vegetative state 0.614223	CLICK HERE
8362	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Giant Inflatable Colon and Community Knowledge, Intention, and Social Support for Colorectal Cancer Screening - CDC	Colorectal cancer (CRC) is the second-leading cause of deaths from cancer in the United States. Screening decreases CRC deaths through early cancer detection and through removal of precancerous lesions.	potential colon displays 0.463116 colon cancer screenings 0.512132 giant inflatable colon 0.585964 CRC stages 0.468992 alaska native people 0.773316 CRC knowledge 0.551432 giant colon exhibits 0.4607 Alaska community members 0.463274 Alaska Native 0.835412 screening method 0.46911 interactive colon exhibits 0.484042 Alaska Tribal Health 0.515434 colorectal cancer screening 0.579663 nylon colon model 0.489328 Cancer Super Colon 0.51755 social support 0.609301 colorectal cancer 0.607456 CRC screening 0.959501 community events 0.464513 Health Interview Survey 0.462518 Alaska Native community 0.468626 colon model 0.794332 specific screening method 0.460382 Cancer Control Program 0.457245	human colon 0.513328 adult community members 0.49234 statewide CRC Partnership 0.478916 CRC prevention tips 0.520678 community members 0.782222 cancer screening 0.671574 Alaska Comprehensive Cancer 0.469554 Alaska Native Tribal 0.664603 Native/American Indian/Aboriginal Canadian 0.516088 Alaska Native population 0.473903 comprehensive cancer control 0.506345 CRC screening knowledge 0.677941 available screening methods 0.467479 CRC prevention 0.543565 Colon Cancer Alliance 0.500946 interactive colon model 0.545022 CRC screening rates 0.650429 CRC knowledge questions 0.504163 cancer screening utilization 0.48903 Native Tribal Health 0.656334 Alaska Native/American Indian/Aboriginal 0.542564 age-adjusted CRC incidence 0.499893 decreases CRC deaths 0.505516 Tribal Health Consortium 0.65147	CLICK HERE
10536	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Applying Spatial Analysis Tools in Public Health: An Example Using SaTScan to Detect Geographic Targets for Colorectal Cancer Screening Interventions - CDC	Epidemiologists are gradually incorporating spatial analysis into health-related research as geocoded cases of disease become widely available and health-focused geospatial computer applications are developed. One health-focused application of spatial analysis is cluster detection.	cluster 0.800728 homogenous cluster risk 0.594496 secondary clusters 0.588737 public health intervention 0.548861 data 0.642943 Florida Cancer Registry 0.644748 low-risk regional cluster 0.549255 Non-significant cluster areas 0.56341 overall CRC screening 0.540682 census tract analysis 0.530882 spatial analysis 0.669169 spatial scan 0.557813 high-risk cluster 0.567041 late-stage diagnosis 0.780962 risk factors 0.55895 potential secondary clusters 0.573256 relative risk 0.607237 Bernoulli method 0.568469 summarizes cluster results 0.557133 CRC 0.676889 primary cluster data 0.58481 high risk 0.657882 spatial clusters 0.537491 sparsely populated areas 0.535917	block group analysis 0.580885 geographically distinct clusters 0.531575 Florida Cancer Data 0.53361 Hispanic whites 0.668385 exploratory cluster detection 0.573863 late-stage risk clusters 0.625634 Union County cluster 0.602689 population data 0.541093 Poisson model 0.550899 block group 0.601909 high cancer rates 0.546726 Bernoulli model 0.552827 cluster detection 0.678019 National Cancer Institute 0.547583 non-Hispanic whites 0.641481 public health 0.912591 clusters 0.727802 public health importance 0.587454 CRC screening rates 0.614569 potential cluster rings 0.555905 high risk area 0.530236 maximum cluster size 0.623114 risk 0.705199 low screening rates 0.554298	CLICK HERE
11999	Centers for Disease Control and Prevention	Html	en	Disease Detective: Neil - CDC Responds to the 2014 Ebola Outbreak	CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives.	practice 0.320291 Liberia’s capital 0.434697 terrible outbreak 0.402411 Ambulance chasing 0.412551 source 0.320165 consistency 0.318193 better track 0.39819 international partners 0.395745 Social Welfare 0.392955 Ebola transmission 0.580505 contact 0.38409 Bomi County 0.527175 Neil 0.546542 lax 0.318834 ongoing Ebola epidemic 0.65641 Global Health 0.411016 wife 0.333891 short time 0.39201 lapse 0.322719 corrections 0.318482 community care center. 0.487531 Ebola patients 0.663449 Ebola 0.90943 limited access 0.390935 biggest risks 0.389525	new chain 0.40307 distance 0.319951 infection control 0.506097 quality emergency care 0.469806 rural area 0.405457 major strides 0.403753 suspected Ebola cases 0.708424 virus 0.335036 Ebola cases 0.74543 CDC disease detective 0.678311 key component 0.40475 major progress 0.387645 local phones 0.389124 local health officials 0.477154 Ebola-free patients 0.403686 safety standards 0.39236 ambulances 0.322532 spread 0.337396 tough situation 0.388796 community care centers 0.922863 community care center 0.484075 horrible car crash 0.466956 West Africa 0.392219 investigation 0.318793	CLICK HERE
15555	Centers for Disease Control and Prevention	Html	en	Testimonials from Participants - National Diabetes Prevention Program	National Diabetes Prevention Program	poor eating habits.I 0.454915 exercise routine 0.397619 Cynthia Johnson 0.403736 Tim Enfinger 0.387849 glucose levels 0.487362 different ideas 0.383812 favorite thing 0.38348 type 0.3953 entire adult life 0.470121 program participants 0.418501 high cholesterol 0.382612 healthy recipes 0.418149 friend 0.332981 Jan Booker 0.39379 group 0.331544 Suzi Gomez 0.410393 blood pressure 0.398193 hard time 0.391487 different diets 0.392153 emotional eating habits 0.449756 grandchildren 0.34658 Program Participant 0.896336 lifestyle change program 0.943566 lifestyle coach 0.520718 food labels 0.38954	sugary drinks 0.395001 lunch-break rides 0.396177 Suchada Jin-Jin Hantragoon 0.452413 Bruce Wheeler 0.400001 Phyllis Perkins 0.385819 great information 0.401841 stationary bike 0.387961 medical research 0.392749 pictures 0.318673 red meat 0.393473 online lifestyle change 0.501778 healthy lifestyle changes 0.512922 hospital 0.330504 high glucose levels 0.452956 daily routine 0.389926 standard couch potato 0.458162 Online Program Participant 0.527922 medical librarian 0.391526 people 0.333157 video series 0.388838 exercise habits 0.386679 healthy changes 0.450686 difficult time 0.3908 family 0.318662	CLICK HERE