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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
663	Centers for Disease Control and Prevention	Html	en	Bidis and Kreteks - Smoking & Tobacco Use	Tobacco Industry and Products Fact Sheets.	Mortality Weekly Report 0.736921 reduced oxygen absorption 0.46092 nicotine addiction 0.411423 Tobacco Control Act 0.611152 conventional cigarettes 0.418918 lung cancer 0.437099 Disease Control 0.52913 oral cancer 0.475271 Yusuf S. Risk 0.466429 World Health Organization 0.621106 Clove Cigarette Smoking 0.537694 Occupational Lung Diseases 0.462932 Risk Factors 0.459423 High School Students—United 0.725188 carbon monoxide 0.489706 bidi smoking 0.968962 Bidi Cigarettes 0.670044 long-term health effects 0.643066 Nov 0.624469 Southeast Asian countries 0.48994 International Journal 0.447961 combustible tobacco product 0.517574 Family Smoking Prevention 0.536764 U.S. middle school 0.485032	Fukui T. Bidi 0.800783 acute lung injury 0.49234 S. Bidi Smoking 0.684593 Bidi Cigarette 0.568238 United States.1,3,5,6 0.410967 hand-rolled cigarettes 0.426767 flavored cigarettes 0.412101 Regular kretek smokers 0.474755 School Students—United States 0.723091 Tobacco Research. 0.423906 Carbon Monoxide Yields 0.459948 high school students 0.481784 kretek smoking 0.511201 middle school males 0.485466 lung problems 0.415878 T. Bidi Smoking 0.835199 bidis 0.515884 relative standard error 0.459828 stomach cancer 0.412786 low prevalence 0.490352 research studies 0.48493 coronary heart disease 0.477084 adverse health conditions 0.496028 abnormal lung function 0.489677	CLICK HERE
4971	Centers for Disease Control and Prevention	Html	en	A comparison of depression and mental distress indicators, Rhode Island Behavioral Risk Factor Surveillance System, 2006	null	Island BRFSS data 0.388599 Risk Factor Surveillance 0.543902 mental distress 0.747927 clinical depression disorders 0.412577 HRQOL module 0.403857 mental health 0.424771 Alpert Medical School 0.37786 logistic regression 0.396554 Mental Health Data 0.375717 major depression 0.408688 Rhode Island adults 0.414316 higher depression rates 0.400735 Rhode Island Department 0.462664 severe depression 0.387182 mild depression 0.387537 population prevalence estimates 0.389785 Factor Surveillance System. 0.38059 mental health items 0.375608 PHQ-2 0.429454 Behavioral Risk Factor 0.542364 depression prevalence 0.528672 Rhode Island cities 0.406321 health risk variables 0.41671 PHQ-8 current depression 0.434619 depression severity 0.453782	depression severity status 0.406988 patient health questionnaire 0.452369 PHQ-8 0.504674 risk variables 0.4784 prevalence estimates 0.476066 Rhode Island BRFSS 0.494286 10-question depression 0.392903 current depression 0.538554 Island Behavioral Risk 0.446158 logistic regression modeling 0.391343 mental distress estimates 0.390717 Rhode Island 0.94576 multivariable logistic regression 0.394724 HRQOL indicators 0.42631 mental distress indicators 0.432732 frequent mental distress 0.744322 Rhode Island Behavioral 0.45322 BRFSS HRQOL indicators 0.385034 depression indicators 0.402245 Jana Earl Hesser 0.397057 Warren Alpert Medical 0.376019 depression prevalence estimates 0.451383 mental distress questions 0.388574 depression 0.706532	CLICK HERE
5752	Centers for Disease Control and Prevention	Html	en	Methyl formate - 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
9603	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Weight Status and Weight-Management Behaviors Among Philadelphia High School Students, 2007"2011 - CDC	The prevalence of obesity among youth may be stabilizing and even declining in some areas of the United States. The objective of our study was to examine whether the stabilization in obesity prevalence among Philadelphia high school students was accompanied by changes in weight-management behaviors.	healthful weight-loss behaviors 0.424165 obesity rates 0.461764 data 0.388505 normal-weight male students 0.388237 vegetable consumption 0.407283 childhood obesity epidemic 0.387788 obese students 0.44169 weight- management behaviors 0.402848 significant differences 0.439375 self-reported weight status 0.388787 Risk Behavior Survey 0.407427 obese male students 0.398599 healthful weight management 0.430671 youth obesity epidemic 0.384108 poor weight-management behaviors 0.390081 youth obesity rates 0.387945 Youth Risk Behavior 0.455838 obesity prevalence 0.41374 health care professionals 0.38414 healthful weight-related behaviors 0.39418 extreme weight-management 0.473217 male students 0.575613 healthful weight-management behaviors 0.453036 study period 0.443437 overweight students 0.389155	obese female students 0.401418 regular physical activity 0.390657 in-weight management behaviors 0.383026 weight-management behaviors 0.779059 female students 0.641976 multivariable regression models 0.402756 United States 0.416395 significant changes 0.382422 television viewing 0.381225 diet pills 0.415279 extreme weight-management strategies 0.446755 overweight 0.436195 public health 0.516529 normal-weight female students 0.391045 community-based obesity prevention 0.376659 high school students 0.921009 physical activity 0.686083 Philadelphia high school 0.45523 extreme weight-management behaviors 0.469876 public health efforts 0.398328 childhood obesity 0.487032 screen time 0.473055 youth health behaviors 0.400701 weight perception 0.40276	CLICK HERE
9669	Centers for Disease Control and Prevention	Html	en	Veterinary Safety and Health - Other hazards	null	2004-100D (DVD) 0.376194 Publications No. 0.263463 Español 0.22413 email address 0.393602 NIOSH The Effects 0.610531 different file formats 0.370311 Health Issues 0.263229 NIOSH Publication No. 0.957047 animal owners 0.278399	DHHS 0.235309 AVMA Emergency contact 0.457198 Workplace Hazards 0.332927 NIOSH Exposure 0.595051 Occupational Hazards 0.4552 Female Reproductive Health 0.402502 Workplace Violence Prevention 0.435498 Research Needs 0.253523	CLICK HERE
9887	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Food Security and Cardiovascular Disease Risk Among Adults in the United States: Findings From the National Health and Nutrition Examination Survey, 2003"2008 - CDC	Little is known about the relationship between food security status and predicted 10-year cardiovascular disease risk. The objective of this study was to examine the associations between food security status and cardiovascular disease risk factors and predicted 10-year risk in a national sample of US adults.	high school 0.269415 C-reactive protein 0.384724 food security status 0.747281 systolic blood pressure 0.329966 total cholesterol 0.293411 significant association 0.244403 health insurance status 0.272665 food-secure adults 0.263596 10-year risk 0.259409 diastolic blood pressure 0.254155 smoking status 0.244377 food insecurity 0.386078 Nutrition Examination Survey 0.254143 health insurance coverage 0.251161 marginal food security 0.351602 low food security 0.731234 cardiovascular disease risk 0.592412 disease risk factors 0.351887 oral hypoglycemic medications 0.29485 food security questions 0.270883 urinary albumin–creatinine ratio 0.303036 educational status 0.256606 mild food insecurity 0.25334 mean concentration 0.260951	women 0.262716 study 0.243411 significant associations 0.267169 concentrations 0.245346 Community Food Security 0.260098 United States 0.246776 food secure participants 0.29624 adults 0.309228 reduced food intake 0.252058 10-year cardiovascular disease 0.372543 Current Population Survey 0.251096 severe food insecurity 0.286797 non-HDL cholesterol 0.244643 food insecure avail 0.246542 hba1c 0.259108 participants 0.372054 BMI 0.247564 fully food 0.27413 unadjusted food security 0.262533 HDL cholesterol 0.25935 food security questionnaire 0.268746 food security 0.940207 Adult food security 0.268867 diabetes 0.243475	CLICK HERE
10060	Centers for Disease Control and Prevention	Html	en	NIOSH Program Portfolio : Personal Protective Technology : Key Partners and Stakeholders	The Mission of the PPT Program is to prevent work-related injury, illness, and death by advancing the state of knowledge and application of personal protective technologies (PPT).	technology developers 0.612875 PPT Programs 0.725604 research priorities 0.643272 section 0.532615 sites 0.532564 expertise 0.520077 experience 0.520055 PPT Program execution 0.846226 official endorsement 0.717445 NIOSH research dollars 0.811226 concern 0.523249 core competencies augment 0.723202 research team 0.628562 in-kind contributions 0.635827 surveillance activities 0.612094 safety 0.521698 inherent knowledge 0.637908 communication 0.519939 circumstances 0.521349 following links 0.699841 PPE needs 0.629782 protective strategies 0.614461 Disclaimer 0.559452 analysis 0.519976 key stakeholders 0.637076	NIOSH Program 0.724514 input 0.549842 stakeholder groups 0.642994 programmatic accomplishments 0.621268 targets 0.52113 content 0.532374 ultimate success 0.619272 key partners 0.606873 NIOSH policy 0.747323 PPT Program 0.976006 partnerships 0.552263 statement 0.532311 definition 0.541177 customers 0.521814 workers 0.521682 entire process 0.609025 capabilities 0.536541 CDC/NOSH 0.532526 PPT Program research 0.836638 PPT Program model 0.840932 health 0.521713 Collaborative research 0.62798 jointly developed program 0.714378 user communities 0.617743	CLICK HERE
11966	Centers for Disease Control and Prevention	Html	en	NIOSH-Approved N100 Particulate Filtering Facepiece Respirators - Suppliers List	This page contains a suppliers list of NIOSH-Approved N100 Particulate Filtering Facepiece Respirators.	PDF version 0.711788 facepiece respirator 0.852905 airborne particles 0.845824 CDC/NIOSH 0.553908 N100 0.464889 procedure 0.482707 Disclaimer 0.5265	official endorsement 0.84325 content 0.496522 NIOSH policy 0.955076 oil 0.463497 statement 0.495902 websites 0.498321 links 0.457956	CLICK HERE
13197	Centers for Disease Control and Prevention	Html	en	Identification and Linkage to Care of HCV-Infected Personsin Five Health Centers - Philadelphia, Pennsylvania,2012-2014	Catelyn Coyle, MPH1, Kendra Viner, PhD2, Elizabeth Hughes, DrPH3, Helena Kwakwa, MD2, Jon E. Zibbell, PhD3, Claudia Vellozzi, MD3, Deborah Holtzman, PhD3 (Author affiliations at the end of text).	HCV treatment 0.346868 HCV care continuum 0.32759 HCV antibody tests 0.318799 Mary Howard Health 0.310637 HCV treatment initiation 0.307191 HCV infection 0.997509 project 0.240346 health centers 0.372435 community-based HCV testing 0.322468 HCV testing 0.756843 HCV tests 0.465969 local HCV providers 0.30523 on-site HCV treatment 0.298035 project manager 0.207558 linkage-to-care coordinator 0.347846 HCV protocols 0.272929 reflex HCV testing 0.344466 confirmatory HCV-RNA test 0.259577 HCV linkage-to-care protocol 0.303793 HCV testing protocols 0.360855	public health 0.200864 assistant-initiated HCV testing 0.341386 test results 0.20771 patients 0.50566 HCV testing protocol 0.38717 HCV care specialist 0.398101 Nursing Centers Consortium 0.201761 HCV disease etiology 0.327994 community health centers 0.212488 current HCV infection 0.609265 HCV-RNA test 0.371982 health center 0.374698 public housing residents 0.206544 Howard Health Center 0.306154 PHMC Care Clinic 0.446661 HCV medical appointments 0.306165 HCV-infected patients 0.286619 routine HCV testing 0.499537 HCV testing process 0.337223 positive HCV-antibody test 0.206107	CLICK HERE
13534	Centers for Disease Control and Prevention	Html	en	Lead Poisoning and Anemia Associated with Use of AyurvedicMedications Purchased on the Internet - Wisconsin, 2015	Jon Meiman, MD1,2; Robert Thiboldeaux, PhD2; Henry Anderson, MD2.	1Epidemic Intelligence Service 0.771089 United States 0.792189 Urine toxic metals 0.822945 Vata Chintamani Rasa 0.798585 chelation therapy 0.806149 daily MG 0.735695 Shree Dhootapapeshwar Limited 0.783422 Wisconsin public health 0.830198 U.S. Environmental Protection 0.782173 possible environmental sources 0.795783 human health 0.727112 local health department 0.850808 Wisconsin Division 0.722339 endogenous physiologic role 0.782244 elevated blood lead 0.87355 Ayurvedic medication 0.807831 earlier reported risk 0.776736 highly toxic substance 0.774503 normal range 0.804711 Ayurvedic medications 0.917543 toxic metals 0.859353 local health departments 0.840873 inpatient medical evaluation 0.792816 public health 0.962488	peripheral blood smear 0.795889 lead-based herbal medicine 0.7648 female patient 0.747079 water lead level 0.823907 furnace atomic absorption 0.773182 Ayurvedic medicines 0.748148 Occupational Health 0.717969 optical emission spectroscopy 0.774746 outpatient lead 0.735976 BLL testing results 0.876133 Wisconsin State Laboratory 0.79247 local public health 0.816469 putative health benefits 0.800589 lead shot 0.733934 lead poisoning 0.733678 health problems 0.719508 oral meso-2,3-dimercaptosuccinic acid 0.778715 Jon Meiman 0.798887 single BLL 0.780067 Sri Ayurveda Trust 0.777929 case report confirms 0.77172 urine arsenic levels 0.847252 inductively coupled plasma 0.779558	CLICK HERE