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
1053	Centers for Disease Control and Prevention	Html	en	Vital Signs: Births to Teens Aged 15-17 Years - UnitedStates, 1991-2012	Please note: An erratum has been published for this article. To view the erratum, please click here.	sexually experienced female 0.510685 effective contraceptive methods 0.509047 effective reversible methods 0.492986 never-married female teens 0.584286 effective method 0.501551 birth control methods 0.499938 clinical birth control 0.620089 birth rate 0.543616 failure rate 0.478306 sexually active females 0.493297 effective reversible contraceptive 0.482799 younger teens 0.613531 younger female teens 0.594497 older teens 0.519677 National Vital Statistics 0.487855 births 0.595097 reproductive health-care services 0.481111 younger teens exposure 0.544653 female teens 0.842644 birth control 0.824327 active younger teens 0.53021 prevention opportunities 0.471641 experienced female teens 0.610501 teen births 0.470318 effective methods 0.501042	United States 0.49004 methods 0.512581 age group 0.48958 formal sex education 0.898452 shows birth rates 0.47649 teens 0.944778 U.S. teen birth 0.490337 sexual initiation 0.482659 sexually active teens 0.556986 non-Hispanic blacks 0.504295 Family Growth 0.473494 non-Hispanic whites 0.47516 National Survey 0.470914 active female teens 0.542513 American Indians/Alaska Natives 0.581678 sexual health education 0.491926 teen birth rate 0.498517 CI 0.49744 effective birth control 0.49994 health 0.496404 birth control services 0.614749 females teens 0.510745 New Hampshire 0.472674 fewer young teens 0.525227	CLICK HERE
4855	Centers for Disease Control and Prevention	Html	en	Vancomycin-resistant Enterococci in Healthcare Settings - HAI	null	hospitals 0.326995 infected wounds 0.365329 hands 0.407046 VRE 0.92634 urinary catheters 0.456514 device-associated infections 0.408993 transplant wards 0.371088 Enteroccocci 0.329515 surgical procedures 0.440738 Wash 0.313472 immune systems 0.370195 chest surgery 0.369975 contact 0.346761 female genital tract 0.727042 human intestines 0.549684 following persons 0.366061 antibiotic treatment 0.373685 contaminated surfaces 0.371568 antibiotic vancomycin 0.404318 body fluids 0.363184 bloodstream infections 0.414701 drug-resistant infections 0.42873 clean areas 0.361983 antimicrobial-resistant bacteria 0.398571	antibiotics 0.351868 special precautions 0.365932 healthcare providers 0.364236 instances 0.314523 urinary tract 0.382468 hand rubs 0.36746 Wear gloves 0.361611 long periods 0.426607 Network Patient Safety 0.414337 National Healthcare Safety 0.414488 bandages 0.31362 Laboratory testing 0.368481 vancomycin-resistant enterococci 0.604037 surveillance methods 0.363433 people 0.450169 Healthcare facilities 0.36393 intensive care units 0.426726 spread 0.320867 specific types 0.380534 environment 0.329405 medical devices 0.369942 healthcare provider 0.364148 vancomycin-resistant Enterococci infections 0.59247 time 0.339091	CLICK HERE
7640	Centers for Disease Control and Prevention	Html	en	Audit tools & protocols - Collaborative - Dialysis	Information for healthcare providers about dialysis	MPEG 0.276361 PDF 0.201634 PPT 0.326381	email address 0.716575 DOC 0.270026 different file formats 0.90859	CLICK HERE
8716	Centers for Disease Control and Prevention	Html	en	Emergency Preparedness for Older Adults - About	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
9567	Centers for Disease Control and Prevention	Html	en	Estimated Percentages and Characteristics of Men Who HaveSex with Men and Use Injection Drugs - United States,1999-2011	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.	male IDU 0.667599 risk reduction programs 0.424885 HIV surveillance systems 0.398789 new HIV infections 0.398688 IDU participants 0.32493 data 0.516559 data source 0.309781 injection drug 0.908774 intensified HIV prevention 0.330618 male-to-male sexual contact 0.339452 CDC. Estimated HIV 0.335732 transmission category 0.449564 NHBS IDU cycle 0.497362 HIV infections 0.431176 HIV risk behavior 0.336747 sexual contact 0.402107 NHSS data 0.317772 adult males 0.30448 IDU 0.748105 HIV risk behaviors 0.338961 Nutrition Examination Survey 0.316127 HIV positive men 0.352533 general male population 0.304688 males 0.369039 HIV medical care 0.36586	IDU cycle eligibility 0.382021 NHBS MSM cycle 0.411891 human immunodeficiency virus 0.319459 IDU cycle* 0.329205 HIV case reporting 0.350374 Medical Monitoring Project 0.363101 male IDU populations 0.489466 general household population 0.314723 United States 0.377686 MSM/IDU 0.634716 high-risk IDU 0.332646 National HIV Surveillance 0.420948 men 0.654015 surveillance systems 0.452665 table 0.317938 HIV Behavioral Surveillance 0.421987 drugs 0.327086 MSM 0.623877 male-to-male sex 0.577901 national surveillance systems 0.321939 National HIV Behavioral 0.422563 medical care 0.395732 injection drug users 0.527469 HIV infection 0.759755	CLICK HERE
10989	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Accelerated Weight Gain Among Children During Summer Versus School Year and Related Racial/Ethnic Disparities: A Systematic Review - CDC	The objective of this study was to compile and summarize research examining variations in weight gain among students during the summer in comparison to the school year, with a focus on racial/ethnic disparities and students who are at risk of overweight.	BMI increase 0.384243 summer break 0.402114 racial/ethnic minority children 0.379352 ideal body weight 0.394828 longitudinal study 0.447779 85th BMI percentile 0.384845 obesity prevention programs 0.380633 health disparities 0.386928 children 0.579306 school 0.528559 summer weight gain 0.840924 BMI z scores 0.462376 obesity prevention 0.396765 elementary school children 0.376924 school children 0.399003 growth patterns 0.417795 school-based obesity prevention 0.379309 overweight children 0.444437 BMI z score 0.553024 body mass index 0.445685 representative longitudinal study 0.37944 5-year longitudinal study 0.412807 overweight students 0.377273 accelerated summer weight 0.460074 out-of-school time 0.392781	summer school vacation 0.415083 summer food programs 0.405419 summer camps 0.394585 unhealthy summer weight 0.400152 American Indian schoolchildren 0.397396 summer achievement slide 0.463922 study 0.476357 United States 0.462509 student BMI 0.387549 weight gain 0.958531 differences 0.384968 obese children 0.407731 Childhood Longitudinal Study 0.382006 American Indian children 0.449729 weight status 0.503883 studies 0.506509 child weight gain 0.398841 Summer Activity Study 0.386009 Indian school children 0.39189 physical activity 0.451656 summer vacation 0.610082 vacation weight gain 0.404982 et al 0.376966 baseline weight status 0.397323	CLICK HERE
11467	Centers for Disease Control and Prevention	Html	en	Data and Statistics | Down Syndrome	null	red blood cells 0.548858 younger mothers 0.452874 American Academy 0.445819 United States 0.502279 health care information 0.482907 financial problems 0.446697 Iron deficiency anemia 0.481074 low birth weight. 0.491988 Pediatrics Health Supervision 0.480977 African-American infants 0.467686 average medical care 0.482847 babies 0.535129 general population 0.446934 family member 0.446389 Obstructive sleep apnea 0.484366 life 0.477869 lower chance 0.447312 Eye issues 0.446191 time period 0.448188 certain group 0.451778 syndrome 0.782493 children 0.531651 Hirschsprung disease 0.445934 total number 0.452109	private insurance 0.445169 Ear infections 0.446291 breathing equipment 0.444877 health care 0.539715 Read summary 0.968321 infants 0.508547 wide variety 0.448312 Intestinal blockage 0.448478 heart defect 0.580379 health care costs 0.482209 white infants 0.468812 congenital heart defect 0.572318 life expectancy 0.453354 early childhood 0.444941 syndrome increases 0.482816 live births 0.452782 thigh bone 0.446483 common chromosomal disorder 0.505444 healthcare provider 0.448036 normal birth weight 0.490207 Older mothers 0.450332 age increases 0.454929 Eye diseases 0.446322	CLICK HERE
11525	Centers for Disease Control and Prevention	Html	en	NCIRD | DBD Bulletin Summer 2012 | Featured Publications	Division of Bacterial Diseases Bulletin Summer 2012	CDC. Licensure 0.56383 13-valent pneumococcal conjugate 0.642931 diphtheria toxoid 0.55996 Tdap vaccination program 0.600518 historical purposes 0.559807 pneumococcal pneumonia 0.559391 PLoS One. 0.556845 Trends Microbiol. 0.559174 Emerg Infect Dis. 0.61785 Bordetella pertussis DNA 0.687809 tetanus toxoid 0.559513 pneumococcal conjugate vaccine 0.747369 Invasive pneumococcal disease 0.608081 Bordetella pertussis 0.691935 acellular pertussis 0.657028 Washington State Department 0.591123 conjugate pneumococcal vaccine 0.668058 Clin Infect Dis. 0.630611 Clark TA 0.604745 current pertussis outbreak 0.673161 Infect Dis. 0.671561 pneumococcal polysaccharide vaccine 0.635283 Gershman KA 0.555044 Emerg Infect Dis 0.613677 Pertussis pseudo-outbreak 0.63811	meningococcal vaccine 0.606163 CDC. Comparison 0.56032 United States 0.757255 Neisseria meningitidis serogroup 0.623118 adult vaccination strategies 0.596749 MacNeil JR 0.554378 pathogen Haemophilus haemolyticus 0.61292 Immunization Practices 0.557036 Advisory Committee 0.556772 Messonnier NE 0.611298 meningococcal disease surveillance 0.627311 Jordan IK 0.554213 Pediatr Adolesc Med. 0.589301 Cohn AC 0.672832 pertussis infection 0.632374 Pertussis epidemic 0.633335 CDC. Updated recommendation 0.607934 Baughman AL 0.574381 Clin Vaccine Immunol. 0.638272 Dunning Hotopp JC 0.60017 Haemophilus influenzae disease 0.619947 et al 0.912993 Pertussis control 0.652258 pertussis trends 0.63125	CLICK HERE
11709	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Use of Genotyping to Disprove aPresumed Outbreak of Mycobacterium tuberculosis - Los AngelesCounty, 2013-2014	Brian J. Baker, MD1, Shameer Poonja, MPH1, Myrna Mesrobian, MD2, Anna Lai2, Steven Hwang, MD2 (Author affiliations at end of text).	latent TB infection 0.766368 foreign-born persons 0.566925 large number 0.467683 patient B. 0.474164 Los Angeles County 0.968264 Shameer Poonja 0.471455 immunocompromised persons 0.492169 public health resources 0.530973 timely universal genotyping 0.544885 abnormal chest radiographs 0.512252 person-to-person transmission 0.522661 unrelated strains 0.480722 health care facility 0.567163 health care providers 0.53076 TB epidemiology 0.616962 Brian J. Baker 0.524358 TB Prevention 0.617828 biologic agents 0.469955 patients 0.541484 future patients 0.472825 Angeles County Department 0.835276 public health response 0.53069 infectious TB 0.662873 M. tuberculosis infection 0.636265	Public Health Laboratory 0.527605 unrelated cases 0.482377 United States 0.53746 Tuberculosis Control Program 0.52925 TB disease 0.86292 high TB prevalence 0.693578 facility contacts 0.477957 Steven Hwang 0.466781 public health 0.83072 mycobacterial isolates 0.477555 acid-fast bacilli 0.468399 Tuberculosis Elimination 0.482488 California Microbial Diseases 0.501728 Author affiliations 0.467173 Myrna Mesrobian 0.475098 TB cases 0.673852 2Los Angeles County 0.515349 TB 0.902921 National Genotyping Service 0.540928 TB adenitis 0.639636 Mycobacterium tuberculosis 0.493427 pulmonary TB 0.761692 additional patients 0.481727 Community Health Services 0.519032	CLICK HERE
11944	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Text Messaging to Motivate Exercise Among Latino Adults at Risk for Vascular Disease: A Pilot Study, 2013 - CDC	In 2013, we administered a 15-item survey to determine the extent of text message usage among Latino adults in Kansas; for a subset of the survey participants, we also conducted a 6-week pilot trial to determine the effect of text messaging on exercise behaviors. Among the 82 survey participants, 78% had unlimited text messaging. At baseline, all trial participants were at the stage of contemplation; at 6 weeks, one (9%) trial participant remained at the contemplation stage and the other 10 (91%) participants progressed to the action/maintenance/termination stage. Use of text messaging to motivate exercise is feasible and potentially efficacious among Latinos.	15-item survey in-person 0.407996 6-week PACE scores 0.415252 trial participant 0.372405 atherosclerotic risk factor 0.408542 Texas Health Science 0.386092 6-week pilot trial 0.435062 atherosclerotic risk factors 0.691588 pilot trial 0.542529 Health Promotion Research 0.38697 unlimited text messaging 0.527579 text messaging 0.892701 loss pilot trial 0.396349 yearly household income 0.454794 weight loss 0.419365 action/maintenance/termination stage 0.402196 Health Interview Survey 0.397511 Kansas Medical Center 0.393272 Latino adults 0.833921 baseline 0.362362 text messages 0.53446 Tracie C. Collins 0.386254 15-item survey 0.464529 Exercise Behaviors Questionnaire 0.409174 Spanish text messages 0.419183	Potential participants 0.445065 Latinos 0.404874 trial participants 0.491101 United States 0.403812 contemplation stage 0.444088 text message usage 0.586322 Human Subjects Committee 0.399601 postexercise behavior scores 0.394823 PACE protocol 0.362087 non-Hispanic whites 0.448962 participants 0.741326 recent pilot trial 0.396521 Wichita State University 0.391693 Peripheral arterial disease 0.405052 research assistants 0.403039 exercise behaviors 0.420091 systematic review 0.432053 Spanish-speaking participants 0.449511 physical activity 0.922215 leisure-time physical activity 0.407262 6-week trial 0.418451 survey participants 0.598316 weight loss trial 0.391911 cellular telephone 0.446114	CLICK HERE