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
1060	Centers for Disease Control and Prevention	Html	en	September is World Alzheimer's Month | CDC Features	Learn more about alzheimer's disease.	public health principles 0.452703 national partners 0.378686 close collaboration 0.37425 ethnicity category 0.385171 disease-related deaths 0.393304 questions 0.329264 Association Trial Match 0.444614 Healthy Aging Program 0.451885 brain condition 0.401763 MMWR Study 0.386977 common form 0.395433 poor judgment 0.384445 memory problems 0.385412 state 0.324985 related dementias 0.399368 health behaviors 0.38349 Current efforts 0.377172 researchers 0.324751 Prevention Registry 0.379919 work 0.325048 Research Match 0.384114 person 0.328305 familiar places 0.386479 brain changes 0.390825 brain health 0.390844	Alzheimer’s research 0.563472 multiple factors 0.385173 wide range 0.378613 early stages 0.467258 various health conditions 0.447981 Alzheimer’s disease 0.905611 Healthy Brain Initiative 0.54857 daily activities 0.394226 odd places 0.382213 Health Road Map 0.450962 warning signs 0.382145 people 0.331874 chronic conditions 0.384078 disease increases 0.416707 high blood pressure 0.4619 memory loss 0.464577 health levels 0.387351 research studies 0.446235 address cognitive impairment 0.446018 urgent need 0.382298 prevention trials 0.378675 National Partnerships 0.375917 risk 0.331189 information 0.327619	CLICK HERE
5663	Centers for Disease Control and Prevention	Html	en	o-Chlorostyrene - 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
6554	Centers for Disease Control and Prevention	Html	en	QuickStats: Percentage of Hospital Outpatient Department Visits in Which a Physician Assistant or Advance Practice Nurse* Was Seen - National Hospital Ambulatory Medical Care Survey, United States, 1999-2009	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.	mmwrq@cdc.gov. 0.497749 endorsement 0.447378 Alternate Text 0.486206 Human Services 0.563373 assistive technology 0.501459 U.S. Department 0.557209 MMWR HTML versions 0.554344 electronic PDF version 0.5465 percentage 0.415898 e-mail 0.429732 Contact GPO 0.503128 commercial sources 0.485824 hospital outpatient department 0.716112 National Hospital Ambulatory 0.566964 current prices 0.481131 nurse midwife 0.547324 original paper copy 0.544786 United States 0.486949 U.S. Government Printing 0.54571 Superintendent 0.416214 nurse practitioner 0.54345 assistance 0.415658 title 0.414719 percent 0.416303	MMWR readers 0.489082 character translation 0.48051 visits 0.486524 file 0.415764 MMWR paper copy 0.550845 physician present 0.495436 Persons 0.415828 format errors 0.483564 subject line 0.491947 Health 0.426524 advance practice nurse 0.937725 typeset documents 0.486959 trade names 0.485902 official text 0.479239 Estimates 0.415099 Medical Care Survey 0.559333 non-CDC sites 0.484691 physician assistant 0.664805 hospital outpatient departments 0.580861 report 0.414706 information 0.415778 Accommodation 0.414732 electronic conversions 0.480153 printable versions 0.477485	CLICK HERE
7004	Centers for Disease Control and Prevention	Html	en	Section 3 of the Tobacco Control Act - Purpose	null	et seq. 0.408422 effective oversight 0.399259 tobacco-related diseases 0.392632 U.S.C. 0.319366 adults 0.315892 Drug Administration 0.690386 young people 0.400767 disease risk 0.386933 distribution 0.319195 issues 0.317892 research 0.32921 illicit trade 0.394329 division 0.319131 national standards 0.399147 harmful components 0.401029 conjunction 0.316876 identity 0.317439 safety 0.316158 particular concern 0.402098 dependence 0.321272 ingredients 0.31695	Cosmetic Act 0.407712 tobacco product manufacturers 0.576388 dependency effects 0.393063 tar 0.318775 public disclosure 0.399102 flexible enforcement authority 0.496265 appropriate regulatory controls 0.45767 public health officials 0.476151 Federal Food 0.403781 respect 0.320015 tobacco industry 0.573726 tobacco products 0.979723 marketing 0.319216 sale 0.315924 Federal regulatory authority 0.515324 future 0.316222 social costs 0.385155 cessation 0.317749 purchasers 0.320228 harmful tobacco products 0.596546	CLICK HERE
7620	Centers for Disease Control and Prevention	Html	en	Global Health - Kenya - Blog: Putting Nomadic Pastoralists on the Map	null	existing data sources 0.477779 census data 0.595299 pastoralist movement 0.408136 civil conflict figure 0.459282 routine services 0.41097 Global Immunization Division 0.522556 clinical services 0.408893 culturally familiar context 0.485946 health care providers 0.845629 health care access 0.532328 previously unrecorded locations 0.473307 health care services 0.696649 health facilities 0.446397 mobile groups 0.409157 polio cases 0.436477 U.S. CDC-Kenya Office 0.521608 Google Earth imagery 0.462723 nomadic pastoralists 0.627251 polio surveillance 0.430005 Mobile populations 0.41152 urgent health needs 0.542706 Lab Training Program 0.510338 smaller livestock 0.4116 human health providers 0.527118 northern Nigeria 0.553467	Nigeria Field Epidemiology 0.561963 nomadic groups 0.449644 pastoralist children 0.419023 grazing area 0.407524 sedentary populations 0.408977 Health care systems 0.572041 pastoralist districts 0.411192 Nomads Project 0.414115 polio immunization coverage 0.528422 nomadic pastoralist tribes 0.555785 Kenyan agricultural expert 0.469366 traditional nomadic routes 0.536573 health care 0.980386 recurrent seasonal migration 0.478801 District Production Livestock 0.478368 health education opportunities 0.521829 KENYA BLOG 0.462695 polio virus 0.439399 veterinary health providers 0.527543 NGO partners 0.408455 grazing areas 0.498164 Dr. Chris Ajele 0.469022 public health challenge 0.523774 bilateral government 0.408139	CLICK HERE
10825	Centers for Disease Control and Prevention	Html	en	Health, United States, 2013 includes special section on prescription drugs	CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States	key health measures 0.461017 insurance coverage 0.382864 high cholesterol 0.404893 commonly used classes 0.470258 Disease Control 0.396567 prescription drugs 0.975827 private sector. 0.38116 federal government 0.378979 commonly used prescription 0.66662 Americans 0.334578 cholesterol-lowering drug 0.424065 reproductive health 0.39346 health expenditures 0.397515 life expectancy 0.384328 medical visits 0.388846 statin drugs 0.472277 private sector 0.39105 prescription drugs.  Key 0.54256 birth rates 0.383239 blood thinners 0.391139 Drug poisoning deaths 0.453473 health care utilization 0.462962 United States 0.485772 37th annual report 0.480251 age group 0.387238	adults 0.46668 common prescription drugs 0.653739 kidney disease 0.391421 percent 0.523518 Cardiovascular agents 0.403956 federal health agencies 0.490054 Health Statistics. 0.41248 heart disease 0.393165 U.S. DEPARTMENT 0.383604 comprehensive report 0.406267 cardiovascular disease 0.414622 health risk behaviors 0.463139 cold symptoms 0.390972 health data 0.412318 retail prescription drugs 0.582758 cardiovascular agent 0.485006 opioid analgesics 0.413377 annual growth 0.382546 antidepressants 0.341811 special section 0.396767 high blood pressure 0.467424 Prevention’s National 0.397877 Human Services 0.481474 past decade 0.387914	CLICK HERE
10865	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Impact of Data Editing Methods on Estimates of Smoking Prevalence, Global Youth Tobacco Survey, 2007–2009 - CDC	Accuracy of self-reported data may be improved by data editing, a mechanism to produce accurate information by excluding inconsistent data based on a set number of predetermined decision rules. We compared data editing methods in the Global Youth Tobacco Survey (GYTS) with other editing approaches and evaluated the effects of these on smoking prevalence estimates.	logic checks 0.538825 Data Edit ApproachDescription 0.453315 data 0.903478 inconsistent responses 0.731199 global approach 0.567732 GYTS data editing 0.524597 questions 0.453202 relative SE 0.479013 PreponderanceCurrent cigarette smoking 0.461479 weighted point estimates 0.532833 Disease Control 0.482697 Youth Tobacco Survey 0.796816 GYTS data 0.728056 preponderance approach 0.740352 GYTS data edits 0.625406 higher estimates 0.603761 current cigarette smoking 0.461489 estimates 0.824971 Global Tobacco Control 0.51339 data editing approaches 0.613601 cross-study comparability 0.526908 Herbst K. Data 0.4625 similar estimates 0.544107 data editing approach 0.569839 cigarette use status 0.471339	current cigarette 0.520451 preponderance approaches 0.484919 subsequent inconsistent responses 0.461771 2-stage cluster sample 0.574311 Self-reported cigarette smoking 0.489861 cigarette smoking status 0.796421 gatekeeper approaches 0.590335 decision rules 0.511736 sex groups 0.456627 data editing method 0.60671 cigarette smoking 0.808719 GYTS 0.76104 Saudi Arabia 0.728458 self-administered school-based survey 0.452659 smoking prevalence estimates 0.573688 Tobacco Control Branch 0.514881 data editing methods 0.692673 Global Youth Tobacco 0.65752 inconsistent data 0.623082 GYTS estimates 0.5431 point estimates 0.623501 Chronic Disease Prevention 0.516448 overall estimates 0.464747 data editing 0.874155	CLICK HERE
13147	Centers for Disease Control and Prevention	Html	en	Sudden Unexpected Infant Death (SUID) and SuddenInfant Death Syndrome (SIDS) - SIDS and SUID - ReproductiveHealth	null	complete autopsy 0.571558 different ways 0.547573 SUID cases 0.538322 SIDS 0.722993 data 0.427581 United States 0.697187 Reproductive Health 0.544661 sudden unexpected infant 0.927912 soft bedding—for example 0.673948 death scene 0.669256 strangulation 0.428508 Unknown cause 0.581276 sudden death 0.729196 syndrome 0.430569 review 0.429987 CDC resources 0.553607 examination 0.428392 jurisdictions 0.46533 nose 0.430321 circumstances 0.46444	types 0.432457 clinical history 0.563574 infants 0.476151 overlay 0.433456 sleep-related infant deaths 0.817366 strategies 0.427504 infant deaths 0.84344 future deaths 0.582817 people 0.427119 SUIDs 0.461642 SUID trends 0.541441 thorough investigation 0.700179 mouth 0.429668 tests 0.427698 matters 0.427138 Accidental suffocation 0.642777 activities 0.427213 pillow 0.43146 parts 0.42879 age 0.465276	CLICK HERE
14046	Centers for Disease Control and Prevention	Html	en	E-cigarette Ads and Youth Infographics | VitalSigns	CDC Vital Signs - E-cigarette Ads and Youth	U.S. High School 0.520836 brain development 0.429714 TV/movies 0.267136 TV 0.2364 U.S. Middle School 0.52284 e-cigarette advertisements 0.56273 School Students Overall 0.530493 high proportion 0.409769 high school students 0.924476 U.S. Middle 0.656102	newspapers 0.242494 e-cigarette advertising expenditures 0.548301 Magazines/newspapers 0.266983 ADDICTION 0.242787 U.S. youths 0.394553 continued tobacco product 0.630421 magazines 0.237035 Internet 0.269418 e-cigarette contain NIOTINE 0.618334 corresponding increases 0.414243	CLICK HERE
14418	Centers for Disease Control and Prevention	Html	en	CDC study: Former NFL players not at increased risk of suicide | CDC Online Newsroom	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	suicide risk 0.373273 CDC’s National 0.306158 current discussion 0.286069 Disease Control 0.303276 NFL speed-position players 0.416279 suicide rate 0.38098 suicide deaths 0.467323 scientific literature 0.294009 NIOSH research 0.32933 greater risk 0.309312 new study 0.305094 NIOSH 0.379827 general U.S. population 0.91666 American Journal 0.300709 age-matched people 0.297007 NFL group 0.331602 Fifty-eight percent 0.304944 offensive linemen positions 0.377982 non-speed-position players 0.307524 professional football players 0.52614 Field Studies 0.29142 previous information 0.290916 NIOSH researchers 0.347309 neurodegenerative disease 0.283164 NFL Players Association 0.40304	general population 0.467717 head injury 0.290416 suicide death rate 0.571776 Occupational Safety 0.2986 Sports Medicine 0.303366 particular cohort 0.295213 heart disease 0.285895 different positions 0.296986 Hazard Evaluations 0.290172 white players 0.307521 higher risk 0.425173 different risks 0.286271 Douglas Trout 0.287436 National Football League 0.3935 nfl players 0.59444 black players 0.309753 non-speed positions 0.298882 latest study 0.286553 intentional self-harm 0.292039 wide receiver 0.290584 speed positions 0.299176 football players 0.613664 Deputy Director 0.294234 comparable gender/race/age sector 0.371865	CLICK HERE