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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1264	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Area-Level Socioeconomic Status, Adiposity, Physical Activity, and Inflammation in Young Adults, 2013 - CDC	We assessed the independent effects of socioeconomic status, sex, adiposity, and physical activity on C-reactive protein in young adults.	zip code 0.431726 study 0.373916 C-reactive protein 0.797809 high CRP levels 0.489695 United States 0.357037 log CRP levels 0.569876 model D. Model 0.32753 higher log CRP 0.562784 hierarchical linear modeling 0.394079 mean log CRP 0.511792 similar SES characteristics 0.459482 level-2 geographic regions 0.319674 geographic regions 0.356034 dual x-ray absorptiometry 0.332279 serum C-reactive protein 0.411343 log CRP 0.846281 cardiovascular disease 0.328961 SES group 0.431508 risk factors 0.352221 area-level socioeconomic status 0.495894 lower SES areas 0.550808 prospective cohort study 0.339745 C-reactive protein levels 0.421458 body mass index 0.327872	similar area-level SES 0.461247 lowest SES group 0.426124 significant positive association 0.331683 higher CRP levels 0.651411 health 0.318515 systematic review 0.327985 physical activity 0.466175 elevated c-reactive protein 0.328223 household income 0.333586 higher C-reactive protein 0.330359 PA 0.410285 multiple elevated CRP 0.501669 CRP levels 0.993155 young adults 0.599066 high CRP 0.499822 sensitivity C-reactive protein 0.312583 FAT 0.432626 et al 0.331746 first-year college students 0.51962 positive association 0.350536 CrossRef 0.31237 Mexican American women 0.320724 area-level ses 0.799964	CLICK HERE
6033	Centers for Disease Control and Prevention	Html	en	Chloroacetaldehyde - 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
6434	Centers for Disease Control and Prevention	Html	en	H5N1 in Birds and Other Animals	Highly pathogenic avian influenza A (H5N1) in birds and other animals - CDC	HPAI H5 viruses 0.204273 HPAI H5N1 viruses 0.328684 new virus 0.200072 avian influenza 0.339776 pathogenic* avian influenza 0.216471	avian influenza genes 0.204567 Asian HPAI H5N1 0.581728 H5N1 viral RNA 0.250702 H5N1 virus infections 0.348155 H5N1 virus infection 0.438956	CLICK HERE
7100	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012:11_0222	This study explored the extent to which schoolchildren purchased precut and bagged fruits and vegetables from a mobile fruit vendor (frutero).	B. Mobile food 0.664288 mobile vending environment 0.659631 reduced price lunch 0.624741 Oakland Unified School 0.660872 fewer nonnutritious foods 0.655728 African American neighborhoods 0.643025 New York City 0.751282 school bell rang 0.660855 Prev Med 0.633979 environmental health hazard 0.62619 school entrance 0.64602 frutero sales 0.67683 research staff 0.626889 nutritious food 0.720592 Irene H. Yen 0.620224 nonintervention vendors 0.675883 elementary school 0.800145 public health strategies 0.664132 central kitchen 0.643388 fewer nonnutritious items 0.637619 quarter-mile buffer observations 0.622202 elementary school students 0.769421 nutritious food items 0.665303 elementary school campus 0.671066	public health policy 0.631419 mobile vendors 0.867422 large food outlets 0.673425 vegetables 0.659122 institutional review board 0.62369 fruits 0.659004 M. Measuring food 0.639865 additional bag 0.638982 mobile fruit vendor 0.70123 ice cream vendor 0.644932 mobile food vendors 0.996658 public health 0.774317 American Public Health 0.636202 Pushcart Food Vending 0.650844 cotton candy vendor 0.644813 Vitale L. Fruteros 0.624556 Research Center Oakland 0.748796 one-quarter–mile network buffer 0.625633 Green Carts program 0.63814 frutero vendor 0.640022 Public Health Service 0.633764 greater mobile 0.652024 after-school food environment 0.647105 frutero 0.738474	CLICK HERE
7682	Centers for Disease Control and Prevention	Html	en	Contact CDC	Contact CDC: Find Your Answer Quickly, The answers to the most common questions we receive can be found on our website. Please check the CDC A-Z Index before contacting us with a question.	treatment 0.341869 list Skip 0.860287 CDC 0.364988 page options Skip 0.99 health care provider 0.976542 patients 0.342305 medical emergency 0.521029 nearest emergency room 0.746013	contact your state 0.538308 medication 0.359881 ambulance 0.361815 specialists 0.341476 navigation Skip 0.86981 local health department 0.705279 police 0.343721 immediate assistance 0.580185	CLICK HERE
9561	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | The Health and Welfare of Rural and Urban Cancer Survivors in Missouri - CDC	An estimated 2.8 million cancer survivors reside in rural areas in the United States. We compared the risk behaviors, psychosocial factors, health outcomes, quality of life, and follow-up care of rural and urban cancer survivors in Missouri.	sociodemographic factors 0.488377 cancer treatment 0.520925 frequent physical distress 0.520146 rural cancer survivors 0.685899 rural counties 0.483319 Risk Factor Surveillance 0.485433 significant differences 0.478618 3adjusted for sociodemographic characteristics and access to medical 0.527877 sociodemographic differences 0.503192 urban survivors 0.97069 follow-up cancer checkups 0.480214 health outcomes 0.528225 model 0.507135 frequent activity limitation 0.479744 rural areas 0.524288 health behaviors 0.482957 Fewer rural survivors 0.550041 survivorship care 0.593478 household income categories 0.505923 body mass index 0.481166 survivorship care plan 0.589679 cancer survivorship questions 0.482095 health status 0.506114 rural controls 0.587225	survivors 0.976903 cancer survivors 0.940487 sociodemographic characteristics 0.780142 survivorship care plans 0.558106 United States 0.494218 health care insurance 0.493943 differences 0.535011 Missouri cancer survivors 0.553264 county-level data 0.480717 prevalence 0.500238 activity limitations 0.485025 frequent activity 0.480654 cancer follow-up care 0.52638 poor self-reported health 0.503572 health 0.64734 medical care 0.646528 chronic conditions 0.718272 physical activity 0.657066 psychosocial factors 0.482578 urban controls 0.566508 behavioral risk factor 0.528713 nonmelanoma skin cancer 0.511543 urban cancer survivors 0.680475 rural survivors 0.921749	CLICK HERE
12935	Centers for Disease Control and Prevention	Video	en	Concussion Videos - Get Involved	null	Heads 0.86465	Involved 0.363266	CLICK HERE
13223	Centers for Disease Control and Prevention	Video	en	Managing Patient Safety, One Injection at a Time	Infections are costly. Patients' lives, your accreditation status, your certification, and your licenses are all at stake. The One & Only Campaign, a public health effort to eliminate unsafe medical injections, created this short video to help you make healthcare safer, one injection at a time. Order FREE Materials from CDC http://ow.ly/ym93W Go to the OneandOnlyCampaign.org for more information	Patient Safety 0.954952 Time 0.594751	Injection 0.755969	CLICK HERE
13602	Centers for Disease Control and Prevention	Html	en	Prostate Cancer Awareness	Prostate cancer is the most common non-skin cancer and the second leading cause of cancer death among American men. Prostate cancers usually grow slowly. Most men with prostate cancer are older than 65 years and do not die from the disease. Finding and treating prostate cancer before symptoms occur may not improve your health or help you live longer.	American men 0.46624 semen 0.453429 abnormal results 0.459262 Task Force 0.459087 U.S. Preventive Services 0.509106 CDC 0.411693 urine 0.451882 prostate gland 0.605802 false negative results 0.502319 urethra 0.418306 body 0.413263 walnut-sized organ 0.472039 recommendations 0.424183 right decision 0.45895 men 0.543974 Prostate cancers 0.597141 penis 0.416109 fluid 0.412873 man 0.41153 federal agencies 0.460111 disease 0.4123 greater chance 0.458473	greater his risk 0.459225 different symptoms 0.461239 night 0.411761 prostate specific antigen 0.621401 health 0.412194 -based screening 0.464596 blood 0.411726 way 0.411762 symptoms 0.467729 doctor 0.424326 difficulty 0.412021 prostate cancer 0.957245 tube 0.411966 prostate cancer— 0.573591 PSA test 0.518019 tests 0.423562 bladder 0.414725 organizations 0.411591 frequent urination 0.47311 interrupted flow 0.465531 rectum 0.418578	CLICK HERE
13870	Centers for Disease Control and Prevention	Html	en	Association Between Student Body Mass Index and Access toSports Drinks in Minnesota Secondary Schools,2012&ndash2013	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.	school settings 0.675531 School-level data 0.668599 secondary school students 0.746318 school policy research 0.707391 School Lunch Program 0.735405 sex-adjusted BMI percentile 0.692917 school competitive food 0.687387 sport drinks 0.708357 energy drinks 0.726219 school-aged youth 0.692118 body mass index 0.718731 Health Policy Center 0.669781 school vending machines 0.751543 school health policies 0.70713 national surveillance data 0.668896 student access 0.699397 School regulation 0.670228 school-level BMI percentile 0.736981 National School Lunch 0.735414 school obesity prevention 0.699314 public school districts 0.695007 weight gain 0.68789 school stores 0.709733 fruit drinks 0.753121 School-level demographic characteristics 0.731953	ecologic study 0.667433 non–low-fat salty snacks 0.707145 School Obesity-Related Policy 0.715936 student body mass 0.728242 individual student responses 0.666369 Minnesota secondary schools 0.724335 Minnesota Student Survey 0.723774 school food environment 0.693015 sugar-sweetened beverages 0.684812 secondary school setting 0.704772 school sample 0.666633 sports drinks 0.969253 middle school students 0.711039 soda pop/fruit drinks 0.720836 School Breakfast Program 0.685161 high school students 0.71109 School location 0.669325 School standards 0.667275 school policy 0.83339 school obesity-related policies 0.686954 student weight 0.699562 school policy data 0.718265 snack foods 0.735429 Minnesota School Health 0.713316	CLICK HERE