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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
574	Centers for Disease Control and Prevention	Html	en	It's Your Life. Treat Your Diabetes Well. | CDC Features	National Diabetes Month–time for a refresher on managing your type 1 or type Diabetes.	healthy diet 0.425074 target range—for example 0.400159 Hispanic/Latino Americans 0.361578 type 0.478264 body weight 0.360145 daily diabetes care 0.579412 healthy eating plan 0.411638 blood sugar levels—but 0.44341 healthy lifestyle 0.420548 blood flow 0.37241 Diabetes Educators 0.52569 diabetes ABCs 0.529409 risk factors 0.407303 fewer health problems 0.406984 additional health problems 0.4096 National Diabetes 0.582946 blood vessels 0.460611 blood sugar levels 0.587779 blood pressure check 0.41918 High blood sugar 0.431891 regular physical activity 0.494579 healthier life 0.370785 kidney function test 0.403652 diabetes supplies 0.531805	United States 0.368976 diabetes self-management education 0.579389 lower your risk 0.360547 health care appointments 0.427934 A1C test 0.407123 gestational diabetes 0.620772 healthy lifestyle choices 0.4037 heart disease 0.393642 health complications 0.404835 health care visit 0.403864 main types 0.367968 American Indians/Alaska Natives 0.410923 higher risk 0.410045 blood fats 0.371466 people 0.361861 doctor 0.363484 Pacific Islanders 0.360746 foot doctor 0.359872 average blood sugar 0.434664 healthy changes 0.371017 blood sugar 0.792675 diabetes 0.900831 diabetes educator 0.587565 similar activity 0.361266	CLICK HERE
4653	Centers for Disease Control and Prevention	Html	en	Environmental metrics for community health improvement	null	community metrics 0.654623 well-characterized health effects 0.63404 data 0.636034 long-term health determinants 0.616075 automobile dependence metrics 0.639638 Potential metrics 0.62367 community health information 0.726901 human health 0.646822 environmental health indicators 0.666563 general health 0.622338 health outcomes 0.672948 potential health effect 0.61629 direct health effects 0.627818 Rev Public Health 0.62924 assess health disparities 0.677959 air quality 0.616366 Health Rankings-Mobilizing Action 0.614645 Health Institute project 0.61466 community level 0.703932 population health 0.611781 environmental factors 0.620076 practicable metrics 0.616853 Optimal metrics 0.6345 feasible metrics 0.623996 community health determinants 0.696295	water quality 0.622357 community health 0.866049 environmental health metrics 0.797766 health effects 0.672947 health information base 0.682446 National environmental health 0.671264 environmental public health 0.71797 useful metrics 0.618357 Health Promot Practice 0.61348 environmental health policy 0.667224 drinking water 0.619746 local health departments 0.673742 public health 0.85776 general health outcomes 0.622313 health 0.917155 community health improvements 0.656804 self-reported poor health 0.625486 physical activity 0.620961 environmental metrics 0.759288 Environmental Health program 0.660009 community health aspirations 0.662979 Table). 0.614686 community health metrics 0.848065 public health action 0.664982	CLICK HERE
5257	Centers for Disease Control and Prevention	Html	en	Associations Between Severe Obesity and Depression: Results From the National Health and Nutrition Examination Survey, 2005-2006	null	severely obese women 0.502512 health professional interview 0.483636 poor physical health 0.703213 possible mediators 0.487899 mental health 0.485149 significant differences 0.503532 number 0.481161 self-rated health 0.697479 cross-sectional study 0.47797 class III obesity 0.739488 Nutrition Examination Survey 0.512701 health behaviors 0.533091 obesity 0.853249 major depression 0.488775 demographic factors 0.537162 specific health behaviors 0.49145 Patient Health Questionnaire 0.53777 waist circumference 0.903838 body mass index 0.567724 depression screener score 0.516127 self-rated health status 0.578996 National Health 0.486679 large waist circumference 0.64816 Wardle J. Depression 0.502377 waist circumference models 0.517888	severe obesity 0.491058 women 0.678516 study 0.488517 class II obesity 0.529501 association 0.552524 small waist circumference 0.547465 optimal waist circumference 0.519109 health status ratings 0.485691 PHQ-9 score 0.509622 alcohol consumption 0.485564 self-reported physical health 0.479478 men 0.525816 current depression 0.541793 BMI 0.558416 previous depression 0.47914 health 0.806602 depression status 0.496451 chronic conditions 0.847033 dependent variable 0.488854 physical activity 0.486698 prior obesity 0.49074 earlier obesity 0.492419 reference group 0.59813 logistic regression models 0.507815	CLICK HERE
5650	Centers for Disease Control and Prevention	Html	en	Stoddard solvent - 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
7933	Centers for Disease Control and Prevention	Html	en	Vital Signs: Binge Drinking Among Women and High SchoolGirls - United States, 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.	gastric alcohol dehydrogenase 0.44587 presumed alcohol consumption 0.452482 Binge drinking intensity 0.551844 legal drinking 0.454691 Risk Factor Surveillance 0.446433 binge drinking 0.913843 blood alcohol levels 0.466414 health risk behaviors 0.443944 alcohol advertising 0.443177 Risk Behavior Survey 0.449805 alcohol spectrum disorder 0.470337 Youth Risk Behavior 0.449237 Alcohol Alcohol 0.467152 Preventive Services Task 0.460641 Excessive alcohol use* 0.454285 alcohol 0.563947 response rate 0.452982 higher blood alcohol 0.448086 current alcohol 0.531984 U.S. high school 0.459485 heavy drinking 0.452024 fetal alcohol spectrum 0.47 U.S. adult women 0.474944 Behavioral Risk Factor 0.446247 women 0.539381	drinking behavior 0.468545 high blood alcohol 0.475526 U.S. Preventive Services 0.462878 United States 0.449305 drinks 0.462185 alcohol consumption 0.520204 alcohol misuse 0.447609 adult drinking behavior 0.468211 national Youth Risk 0.449238 excessive alcohol 0.470388 U.S. state alcohol 0.449714 highest binge drinking 0.53262 B. Binge drinking 0.531918 excessive drinking 0.456102 alcohol outlet density 0.446978 Services Task Force 0.485453 high school students 0.452088 alcohol sales 0.460213 binge drinking prevalence 0.587191 Naimi TS 0.460198 blood alcohol concentrations 0.452955 high school girls 0.682742 binge drinking frequency 0.547195 excessive alcohol consumption 0.44971	CLICK HERE
10199	Centers for Disease Control and Prevention	Html	en	Information for Organized Sporting Events | Lightning	CDC provides lightning information including action plans and precautions for organized sporting events.	average 0.25313 list Skip 0.72381 United States 0.42455 page options Skip 0.942919 mold 0.252047 thunder 0.255266 insects 0.249259 navigation Skip 0.731772 disaster 0.244593 lightning strike injuries 0.791929 times 0.241753	Illnesses 0.252101 cleanup 0.258289 earth 0.241937 carbon monoxide poisoning 0.650553 environmental concerns 0.425608 warning 0.257512 consequences 0.256428 risk 0.239677 animals 0.237091 family 0.242511	CLICK HERE
12084	Centers for Disease Control and Prevention	Html	en	Reports of Salmonella Outbreak Investigations from 2014	null	Schwarzengrund Infections Linked 0.359301 Salmonella Montevideo Infections 0.380756 Braenderup Infections Linked 0.373528 Salmonella Typhimurium Infections 0.470925 Human Salmonella Infections 0.62336 Case Count Maps 0.990618 Litchfield Infections Linked 0.359164 Papayas Salmonella Newport 0.324648 Enteritidis Infections Linked 0.474029 Salmonella Oranienburg Infections 0.397972 Salmonella Senftenberg Infections 0.396628 Human Salmonella Typhimurium 0.377006 Key Resources 0.662218 Saintpaul Infections Linked 0.399178 Papayas Salmonella Urbana 0.324052 Agona Infections Linked 0.369012 Outbreaks Salmonella 0.330598 Heidelberg Infections Linked 0.481703 Salmonella Outbreak Investigations 0.33637 Infantis Infections Linked 0.445461 Salmonella Urbana Infections 0.405873 Live Poultry Advice 0.32883 Salmonella Enteritidis Infections 0.409036 Bredeney Infections Linked 0.367233 Salmonella Virchow Infections 0.395443	Urbana Infections Linked 0.388623 Anatum Infections Linked 0.387889 Salmonella Anatum Infections 0.405021 Salmonella Mbandaka Infections 0.385783 Salmonella Heidelberg Infections 0.453178 Tennessee Infections Linked 0.359103 Imported Maradol Papayas 0.337001 Newport Infections Linked 0.366402 Salmonella Saintpaul Infections 0.384628 Salmonella Poona Infections 0.39368 Infections Associated 0.336574 Salmonella Abony Infections 0.39748 Infections Linked 0.935812 Johannesburg Infections Linked 0.361186 Salmonella Hadar Infections 0.381799 Maradol Papayas Salmonella 0.359985 Typhimurium Infections Linked 0.481125 Salmonella Infections Linked 0.828693 Papayas Salmonella Infections 0.410398 Panama Infections Linked 0.360674 Wandsworth Infections Linked 0.358981 Montevideo Infections Linked 0.389619 Live Poultry 0.360726 Salmonella Infantis Infections 0.416704	CLICK HERE
13242	Centers for Disease Control and Prevention	Html	en	Increases in Hepatitis C Virus Infection Related toInjection Drug Use Among Persons Aged 30 Years or Younger - Kentucky,Tennessee, Virginia, and West Virginia, 2006-2012	Jon E. Zibbell, PhD1, Kashif Iqbal, MPH1, Rajiv C. Patel, MPH1, Anil Suryaprasad, MD1, Kathy J.	acute case reports 0.427491 opioid dependency 0.402952 Public Health 0.433385 prescription opioid abuse 0.464941 acute HCV infection* 0.450267 treatment admissions data 0.411607 HCV infection 0.943196 United States 0.42077 opioid injection 0.38146 acute cases 0.374488 nonurban areas 0.405961 West Virginia 0.620008 prescription opioid admissions 0.52381 abuse treatment admissions 0.39618 Infectious Disease Branch 0.386152 heroin admissions 0.397896 Treatment Episode Data 0.380118 current infection 0.377832 prescription opioids 0.392884 treatment admissions 0.599329 Kentucky Department 0.399247 IDU 0.39371 central Appalachia 0.433451 abuse treatment settings 0.379103	opioid abuse accounting 0.404171 integrated health services 0.381514 primary risk factor 0.410476 nonopioid injection 0.382691 Infectious Disease Epidemiology 0.431845 common blood-borne infection 0.408389 Prevention Services 0.390321 increase 0.392273 risk factor 0.416111 multiple treatment admissions 0.387485 West Virginia Department 0.497063 prescription opioid admission 0.413455 persons 0.495992 acute HCV cases 0.449578 young persons 0.402212 prescription opioid misuse 0.403404 acute infection 0.390148 individual treatment admissions 0.388667 substance abuse admissions 0.413906 acute HCV infection 0.86759 substance abuse treatment 0.447294 abuse treatment facilities 0.379515 acute HCV infections 0.437688	CLICK HERE
14174	Centers for Disease Control and Prevention	Html	en	Legal Regulation of Sodium Consumption to Reduce Chronic Conditions	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.	public health impacts 0.2387 excessive sodium 0.557942 public health complications 0.263049 stronger regulatory limits 0.243598 foods 0.255874 public health interventions 0.250789 broader public health 0.262732 National Restaurant Association 0.250685 sodium warning labels 0.464054 Global sodium consumption 0.449569 daily sodium consumption 0.511722 substantial public health 0.32414 high sodium content 0.46311 public health revenues 0.23938 public health repercussions 0.251717 public health crisis 0.261658 sodium content 0.687241 excess sodium intake 0.439508 low sodium 0.435921 public health officials 0.246736 American Heart Association 0.25165 Hunger-Free Kids Act 0.242141 sodium 0.948593 high sodium products 0.555623 E. Sodium intake 0.437348	lower sodium consumption 0.479452 legal interventions 0.285012 Greater public health 0.244182 public health impact 0.265457 negative public health 0.308578 sodium consumption 0.789794 sodium intake 0.713791 United States 0.296701 dietary sodium 0.521605 Average sodium consumption 0.491342 reduced sodium 0.417825 sodium compounds 0.5713 sodium ingestion 0.432079 public health 0.841653 sodium levels 0.462365 public health law 0.362751 excessive sodium intake 0.535634 public health tool 0.324111 light sodium 0.417327 utility regarding sodium 0.444494 excessive sodium content 0.552854 sodium’s dangers 0.418233 chronic disease outcomes 0.256565 actual sodium consumption 0.500312	CLICK HERE
15912	Centers for Disease Control and Prevention	Html	en	Notes from the Field | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	public health requests 0.435083 public locations 0.368627 County Health Department 0.778102 hospital security videos 0.341097 uncertain vaccination history 0.355475 C. Age range 0.3449 tertiary care hospital 0.349955 Shelby County 0.706607 health care facility 0.429971 measles virus 0.625623 epidemiologic link 0.367126 Shelby County Health 0.663904 measles diagnosis 0.442077 Regional Health Department 0.40558 3Shelby County Health 0.398678 recent international travel 0.348586 rapid public health 0.418765 daily active monitoring 0.335703 public health officials 0.897097 initial measles 0.458993 2-dose MMR vaccination 0.518385 high 2-dose MMR 0.498048 public health response 0.534143 health care settings 0.420866 effective public health 0.444027	recent measles cases 0.514241 United States 0.353119 intramuscular immune globulin 0.335835 unidentified epidemiologic link 0.354909 Measles Response Team 0.496524 previous measles outbreaks 0.529622 MMR vaccination coverage 0.518358 health care workers 0.723698 measles vaccine 0.475577 public health 0.994802 health care 0.804048 polymerase chain reaction 0.353665 health care systems 0.433432 international travel 0.349235 potentially exposed persons 0.35669 measles patients 0.483723 local public health 0.475015 positive measles IgM 0.58878 Public Health Preparedness 0.415502 close contacts 0.424664 measles IgM testing 0.521769 rash onset 0.374666 measles 0.711161 public health vaccination 0.459833	CLICK HERE