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
866	Centers for Disease Control and Prevention	Html	en	H7N9 Update - October 28, 2013	Rare, sporadic human infections with H7N9 in China have been reported since the end of May, following a surge of more than 130 cases with illness onset during the month of April - CDC	risk assessment 0.887646 CDC 0.438081 sustained human-to-human spread 0.858643 evidence 0.479685 avian influenza viruses 0.872683 seasonal pattern 0.598352 H7N9 preparedness efforts 0.835556 U.S. government 0.589986 infected birds 0.586494 Information 0.361101 sustained human-to-human transmission 0.832129 cooler weather 0.620771 epidemiology 0.354809 China 0.718147 infections 0.366168 total number 0.618084 end 0.362915 deaths 0.362977 clusters 0.357246 situation 0.354526	H7N9 infection 0.658965 World Health Organization 0.916113 cases 0.846437 Rare 0.363191 surge 0.374961 warmer seasons 0.624227 meantime 0.380151 people 0.35412 recent cases 0.601984 H7N9 activity 0.597941 global health partners 0.814895 live poultry 0.590437 circulation 0.361437 farmer 0.356642 recent case 0.581468 H7N9 0.870651 illness onset 0.663374 indication 0.362177 time 0.3559	CLICK HERE
933	Centers for Disease Control and Prevention	Html	en	Using Different Types of Evidence in Decision Making | CDC Features	This free online resource offers practitioners and others working to prevent violence with important knowledge and resources for using evidence in their decision-making processes.	evidence 0.834759 decision-making processes 0.633129 importance 0.326751 high standard 0.44225 public health practitioners 0.630983 decision-makers 0.333173 violence prevention practitioners 0.741876 program evaluators 0.45182 research evidence 0.567418 literature 0.326456 experiential factors 0.444673 decision-making process 0.480229 emphasis 0.328154 violence prevention 0.984543 evidence-based decision making 0.559557 goal 0.32431 technical assistance providers 0.552195	researchers 0.349255 violence important knowledge 0.663958 implementation 0.325537 Definitions 0.324264 Understanding Evidence tool 0.693019 resources 0.352055 evidence-informed decisions 0.465355 violence prevention strategies 0.701631 CDC’s Division 0.458822 free online resource 0.593944 task 0.325025 field 0.326419 violence prevention efforts 0.738652 policy makers 0.450993 online tool 0.432383 CDC grantees 0.457818 interactive web resource 0.562805	CLICK HERE
6193	Centers for Disease Control and Prevention	Html	en	The ethical basis for promoting nutritional health in public schools in the United States.	null	school meal food 0.575367 school food regulation 0.566855 compulsory school law 0.555212 competitive foods 0.73298 current school environments 0.553172 dietary guidelines 0.545616 nutritional health promotion 0.535529 healthy school foods 0.606984 school programs 0.552944 School Health Policies 0.560039 School Lunch Program 0.658035 healthful school meal 0.543363 Tufts University School 0.531666 school nutrition interventions 0.560504 school 0.921988 children 0.763853 school procedures 0.523109 better school attendance 0.551025 school food environment 0.606876 school food offerings 0.565861 elementary school children 0.575662 nutritional quality 0.634044 school breakfast programs 0.736998 School Breakfast Program. 0.527757	healthy dietary behaviors 0.541888 Public Health 0.558808 middle school students 0.558784 public schools 0.524573 nutrition standards 0.5607 new school policies 0.546668 school fund-raising technique 0.531247 sound school meals 0.541975 poor nutritional quality 0.616881 school food service 0.57879 health 0.608981 School Breakfast Program 0.538201 school food quality 0.580073 nutritional health 0.602747 school food 0.750455 reimbursable National School 0.552791 high school students 0.559904 schools 0.567617 school meets bioethics 0.536681 snack foods 0.56085 school nutrition standards 0.550561 National School Lunch 0.850648 academic performance 0.61589	CLICK HERE
7487	Centers for Disease Control and Prevention	Html	en	Veterans Health Activities - Gulf War Studies - Deployment and Subsequent Development of Cancer	CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces.	current study 0.444261 Gulf War deployment 0.621355 Public Health 0.580733 Health Services 0.45657 CDC 0.329284 Military Medicine 0.437269 Levine PH 0.443813 Persian Gulf 0.55584 George Washington University 0.592841 testicular cancer 0.577561 School 0.326082 Association 0.323935 Gulf War 0.996239 SJ 0.33268 Jersey Cancer Registries 0.594719 cancer data 0.440491 Schools 0.323908 additional states 0.435126 Initial work 0.446997	Young HA 0.43834 New York 0.432771 Kang HK 0.450459 cancer patterns 0.460575 population-based study 0.450046 California 0.322271 analysis 0.322693 Florida 0.322245 Gulf War era 0.860572 Mahan CM 0.450485 Gulf War veterans 0.788123 Rentz 0.338921 non-Gulf War veterans 0.650057 Columbia 0.323392 statistically significant excess 0.584674 Texas 0.322298 War era veterans 0.859105 study investigators 0.452185	CLICK HERE
7982	Centers for Disease Control and Prevention	Html	en	More Women Getting PAP Tests as Recommended	More Women Getting PAP Tests as Recommended	newer national recommendations 0.404411 Task Force 0.251486 diagnostic services 0.237411 Mortality Weekly Report 0.38798 CDC’s National 0.31548 health insurance 0.244574 American College 0.257077 cervical cancer prevention 0.466733 Behavior Risk Factor 0.371613 American Indian/Alaska Native 0.356909 American Cancer Society 0.414894 Disease Control 0.269254 normal test results 0.385415 Pap test 0.761579 private health plans 0.353428 Epidemic Intelligence Service 0.353477 uterine cervix 0.260045 cancer screening recommendations 0.534534 Keisha Houston 0.245205 cervical cancer screening 0.793131 Pap test survey 0.510283 Younger women 0.336353 cervical cancer 0.932616 CDC’s Division 0.45929 CDC’s Morbidity 0.358628	screening guidelines 0.364373 U.S. women 0.316362 guidelines chart 0.238875 certain preventive services 0.357828 HUMAN SERVICES 0.24084 Detection Program 0.235447 women 0.770729 U.S. Preventive Services 0.405403 cancer prevention 0.501238 recent Pap testing 0.491192 Cancer Prevention Control 0.380953 non-cancerous reasons 0.258204 percent 0.576614 good news 0.240412 U.S. DEPARTMENT 0.240971 Pap tests 0.561546 CDC’s efforts 0.317569 breast cancer screening 0.484457 Meg Watson 0.248657 total hysterectomy 0.464956 out-of-pocket costs 0.238314 women access 0.287987 public health efforts 0.351711 Affordable Care Act 0.345532	CLICK HERE
10103	Centers for Disease Control and Prevention	Html	en	Vitamins, Folic Acid and Diabetes - NCBDDD CDC - Features - Key Findings:	null	pre-conception care 0.356305 early pregnancy 0.420949 Hiller JE 0.354443 major birth defects.1 0.42374 CDC study 0.388038 National Birth Defects 0.513267 following text 0.360051 mothers 0.357572 health care providers 0.402059 risk factors 0.356084 Poor control 0.357547 American Journal 0.363719 NBDPS researchers 0.355536 Contain Folic Acid 0.519475 lack 0.3699 prenatal care 0.357796 Maternal diabetes 0.503317 relatively small number 0.414389 Defects Prevention Study 0.506277 diabetes control 0.540243 unplanned pregnancies 0.361589 n’t women 0.359459 visit https://www.cdc.gov/birthdefects 0.354485 women 0.384184 current study 0.366006	population-based cohort study 0.409549 diabetes plan 0.497067 previous study 0.366559 Materials Development 0.354385 birth defect1-3 0.379893 pregnancy increases 0.37117 visit https://www.cdc.gov/pregnancy/diabetes.html 0.354691 gestational diabetes 0.507197 birth defect 0.526243 Diabetes Care. 0.631702 folic acid 0.989537 folic acid daily 0.551609 Diabetes Mellitus-Associated Birth 0.621314 birth defects 0.788715 Birth Defects Prevention 0.51324 periconceptional vitamins 0.419271 et al 0.439933 baby 0.357416 large study 0.36523 American Diabetes Association 0.564981 Coustan DR. Pre-conception 0.398012 risk 0.356352 diabetes 0.831248 little insulin 0.363296	CLICK HERE
10907	Centers for Disease Control and Prevention	Html	en	Indoor Tanning Is Not Safe | Skin Cancer	Indoor tanning can cause skin cancers including melanoma (the deadliest type of skin cancer), basal cell carcinoma, and squamous cell carcinoma.	skin cancer 0.602507 UV rays 0.519891 Causes premature skin 0.474205 skin cancer prevention 0.478945 Indoor tanning exposes 0.633166 10-year national objectives 0.456335 skin cancers 0.448627 U.S. Department 0.437956 Youth Risk Behavior 0.464271 base tan 0.448829 newer tanning beds 0.578081 indoor tanning devices 0.702604 World Health Organization 0.472103 melanoma 0.543387 Health Interview Survey 0.460535 Americans indoor tan 0.498752 UV radiation 0.447598 colleagues 0.442448 indoor tanning laws 0.587499 International Agency 0.438011 basal cell carcinoma 0.533483 Tanning Restrictions 0.538301 deadliest type 0.438284 United States 0.516048 high levels 0.435885	melanoma diagnosis 0.489212 age spots 0.436792 human carcinogen 0.438925 safest way 0.435605 ocular melanoma 0.481386 indoor tanning increases 0.608178 Healthy People 0.454261 indoor tanning facilities 0.619722 younger users 0.44248 Melanoma’s Melanoma 0.500043 higher risk 0.44179 Human Services. 0.437939 indoor tanners 0.481825 potentially blinding eye 0.465283 signed risk acknowledgement 0.462443 high school students 0.460233 white high school 0.459268 indoor tanning 0.969463 skin texture 0.444855 Indoor tanning also— 0.630549 UV exposure 0.546574 risk 0.466305 high school girls 0.514352 early adulthood 0.438214	CLICK HERE
12115	Centers for Disease Control and Prevention	Html	en	Lead - State Programs - Michigan	CDC’s Childhood Lead Poisoning Prevention Program - State Programs - Michigan	funding 0.391842 efforts 0.380846 Disease Control 0.636892 childhood lead poisoning 0.923474	prevention programmatic activities 0.893024 initiatives 0.389057 direct funds 0.60158 P.O. Box 0.594765	CLICK HERE
12145	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Knowledge, Attitudes, andBeliefs About Human Papillomavirus HPV Vaccination Among PuertoRican Mothers and Daughters, 2010: A Qualitative Study -CDC	The incidence of human papillomavirus (HPV) infection and cervical cancer can be reduced by increasing vaccination for HPV. Yet vaccination uptake and completion of the 3-dose series remain low among Puerto Rican females. This study explored psychosocial factors associated with HPV vaccination uptake decisions among Puerto Rican mothers and daughters.	young women 0.776356 papilloma virus vaccine 0.410036 HPV vaccination guidelines 0.488499 health insurance 0.403895 sexual disinhibition 0.400948 vaccine efficacy 0.463395 HPV types 0.462678 vaccine mandates 0.395674 daughters 0.543192 mothers 0.540831 unvaccinated daughter 0.482546 unvaccinated daughters 0.409739 vaccine decisions 0.399608 HPV vaccination initiation 0.529631 Human papillomavirus vaccine 0.422067 free vaccination 0.404252 cervical cancer 0.962367 vaccine effectiveness 0.43735 HPV vaccineHave 0.446147 human papillomavirus 0.437689 age range 0.384893 Vaccinated daughter 0.424176 HPV vaccine decision-making 0.557341 HPV vaccination decisions 0.490183	vaccine initiation decisions 0.42987 cervical cancer diagnosis 0.390719 Puerto Rico 0.724359 HPV vaccine advertising 0.565272 HPV vaccination 0.839703 HPV vaccine uptake 0.522777 United States 0.407719 HPV vaccine initiation 0.613954 HPV vaccine 0.958336 trial vaccine 0.396504 HPV vaccine campaigns 0.520839 HPV vaccination rates 0.487889 vaccine dose 0.420058 focus groups 0.401702 vaccine’s effectiveness 0.403037 human papilloma virus 0.391602 HPV vaccination uptake 0.541835 human papillomavirus vaccination 0.381913 Puerto Rican 0.418662 vaccine safety 0.461354 HPV infection 0.474391 Puerto Rican mothers 0.410301 psychosocial factors 0.393607 HPV vaccination status 0.577231	CLICK HERE
12873	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Perceived Availability of Culturally and Demographically Diverse Photographs for Health Education Materials, Colorado, 2010 - CDC	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	health education 0.777525 public health foundations 0.356335 external graphic designers 0.276199 Western Institutional Review 0.285603 unique target populations 0.414893 graphic designers 0.295238 health membership organizations 0.366864 health conditions 0.355888 health sciences programs 0.359119 stock photography websites 0.292704 health education community 0.330551 commercial stock art 0.680465 primary target population 0.449939 electronic educational media 0.314544 initial email invitation 0.286813 message effectiveness 0.311432 health educators 0.761165 diverse target populations 0.365665 respondents 0.390266 public health educators 0.339058 visual image libraries 0.275979 health education messages 0.362091 photographs 0.579916 health communication 0.25097 Klein Buendel 0.269376	available photographs 0.250589 demographic diversity 0.303178 representative visual images 0.315683 visual images 0.414775 American Indians/Alaskan Natives 0.286693 rural health centers 0.357698 demographically diverse photographs 0.367614 National Cancer Institute 0.267721 public health 0.452973 stock art photographs 0.385033 common activities 0.275045 target population 0.500394 physical characteristics 0.383398 stock photographs 0.26409 online survey 0.543016 baby boom generation 0.274221 nonprofit health organizations 0.366691 stock art websites 0.676735 Mary K. Buller 0.280423 health education organizations 0.377881 target populations 0.96152 health education media 0.366535 David B. Buller 0.278351 health education materials 0.65608	CLICK HERE