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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1169	Centers for Disease Control and Prevention	Html	en	Cigarette Prices and Smoking Prevalence After a Tobacco TaxIncrease - Turkey, 2008 and 2012	Deliana Kostova, PhD1, Linda Andes, PhD1, Toker Erguder, MD2, Ayda Yurekli, PhD2, Bekir Keskink?l?ç, MD3, Sertaç Polat, MD3, Gönül Çulha, MD3, Evin Aras Kilinç, MD3, Enver Ta?t?, MS4, Y?lmaz Er?ahin, MS4, Mehmet Özmen, MS4, Ramazan San, MS4, Hilal Özcebe, MD, PhD5, Nazmi Bilir, MD, PhD5, Samira Asma, DDS1 (Author affiliations at end of text).	smoking rates 0.664895 lower wealth index 0.555933 lowest wealth tercile 0.559482 tobacco control measures 0.5508 cigarette prices 0.819628 relative-income price 0.649387 tobacco tax increase 0.663408 average purchasing price 0.769281 cigarette tax level 0.617138 Health Promotion 0.558532 average smoking rate 0.651905 Smoking prevalence estimates 0.637621 concurrent tax increase 0.609759 final consumer price 0.561457 demographic groups 0.688864 National Center 0.56042 Special Consumption Tax 0.598837 comprehensive tobacco control 0.592967 self-reported current smoking 0.632594 cigarette price change 0.610822 lowest wealth 0.623084 Turkey 0.723813 wealth index 0.625408 GATS Turkey 0.620227 cigarettes 0.655372	producer-initiated price increase 0.609332 cigarette price 0.657195 period cigarette prices 0.594337 smoking prevalence 0.885208 tax increase 0.993734 wealth index category 0.559139 additional price increase 0.609907 average price 0.717855 graphic health warnings 0.557005 average real price 0.616605 average tax 0.548762 cigarette affordability 0.592165 tax pass-through 0.560245 middle wealth tercile 0.560781 tobacco industry offering 0.555713 Adult Tobacco Survey 0.59574 less-than-daily smoking 0.564059 average cigarette price 0.65165 potential tax impact 0.566485 recent cigarette purchase 0.588056 Chronic Disease Prevention 0.687495 cigarette price indicators 0.640696 higher tobacco tax 0.645622 wealth tercile 0.597746	CLICK HERE
6323	Centers for Disease Control and Prevention	Html	en	The predicted impact of heart disease prevention and treatment initiatives on mortality in Lithuania, a middle-income country.	null	stable heart disease 0.594529 composite potential PPD 0.566997 data 0.559187 chronic heart disease 0.570765 LVEF 0.560259 symptomatic heart disease 0.758192 acute events 0.580905 Lithuanian mortality registry 0.557087 potentially postponable deaths 0.655985 heart failure 0.593725 blood pressure 0.58533 plausible range 0.720694 patients 0.578828 analysis 0.56858 composite PPD 0.606101 population 0.601629 upper bound PPD 0.563707 death rates 0.577177 blood pressure level 0.571346 unstable angina 0.563782 intervention 0.561149 United States 0.655033 PPD 0.616725 adequate physical activity 0.619652	out-of-hospital cardiac arrest 0.591592 ambulatory setting 0.563024 lower bound PPD 0.564267 Kaunas University Hospital 0.593992 maximum plausible PPD 0.578429 total mortality 0.568704 heart disease 0.926116 acute heart failure 0.575845 acute cardiac events 0.559352 Lithuanian population 0.565199 cardiovascular disease 0.565659 angina/other heart disease 0.564242 largest PPD 0.614955 people 0.573757 apparent heart disease 0.743981 heart disease risk 0.575869 mortality rate 0.571757 heart disease prevention 0.595801 Thomas E. Kottke 0.562974 interventions 0.565077 heart disease continuum 0.572715 mortality 0.614966 ventricular ejection fraction 0.558535 coronary heart disease 0.590391	CLICK HERE
8518	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Retailer Adherence to Family Smoking Prevention and Tobacco Control Act, North Carolina, 2011 -CDC	The Family Smoking Prevention and Tobacco Control Act regulates the sales and marketing of tobacco products in the United States; poor adherence by tobacco retailers may reduce the effectiveness of the Act’s provisions. The objectives of this study were 1) to assess whether and to which provisions retailers were adherent and 2) to examine differences in adherence by county, retailer neighborhood, and retailer characteristics.	North Carolina 0.733301 new retailers 0.49701 nonadherent retailers 0.495081 New Hanover County 0.527944 Tobacco Control Act 0.994499 new provisions 0.483149 eligible retailers 0.499377 point-of-sale sales provisions 0.499712 Tobacco control state 0.510833 potential tobacco retailers 0.580577 tobacco store 0.492799 tobacco audit 0.489337 retailer type 0.501663 point-of-sale provisions 0.663156 selling tobacco 0.492497 Act point-of-sale provisions 0.535866 certain tobacco products 0.52462 differential adherence 0.48621 grocery stores 0.554179 Hanover County retailers 0.549954 tobacco products 0.700451 roll-your-own tobacco 0.501875 retailer neighborhood characteristics 0.644422 drug stores 0.517837 Tobacco Products Scientific 0.505832	cigarettes 0.507701 Family Smoking Prevention 0.524733 study 0.506778 tobacco sales 0.49992 convenience stores 0.490249 Durham County retailers 0.571282 New Hanover retailers 0.508014 tobacco advertising 0.498223 tobacco stores 0.5063 racial/ethnic minority 0.494934 tobacco vending machines 0.544186 retailer characteristics 0.502647 Buncombe County retailers 0.541203 tobacco marketing 0.483306 tobacco retailers 0.758497 retailer adherence 0.514504 new Tobacco Control 0.530809 federal poverty guidelines 0.563608 adherence 0.587579 provisions retailers 0.564813 smokeless tobacco products 0.565844 tobacco brand–name event 0.50935 smokeless tobacco 0.656321 North Carolina counties 0.536135	CLICK HERE
9746	Centers for Disease Control and Prevention	Html	en	Histoplasmosis in a State Where It Is Not Known to BeEndemic - Montana, 2012-2013	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.	H. capsulatum disease 0.516363 recent travel 0.597998 Human Services 0.41911 H. capsulatum isolation 0.510559 left parotid gland 0.416294 clinically compatible illnesses 0.552003 south central Montana 0.434153 Clark City-County Health 0.473448 bird droppings 0.46623 itraconazole therapy 0.459042 histoplasmosis 0.600608 Ohio River 0.453218 H. capsulatum culture 0.514061 follow-up urine EIA 0.422329 Montana 0.595046 patients 0.445152 weight loss 0.470078 lymph node biopsy 0.404272 endemic fungal infections 0.40455 histoplasmosis endemicity 0.514951 Randall J. Nett 0.460003 left lung nodule 0.406064 City-County Health Dept 0.476656 uncontrolled diabetes mellitus 0.481258 bat guano 0.73612	diabetes mellitus type 0.480428 night sweats 0.407169 Montana residents 0.437226 Histoplasma capsulatum 0.528464 parotid gland 0.44523 recent travel history 0.419486 diagnostic delays 0.429165 Health-care providers 0.443149 patient 0.652634 urine histoplasma antigen 0.432039 southwest Montana 0.440009 bat guano exposure 0.427909 H. capsulatum 0.962684 granulomatous inflammation 0.408922 CT scan 0.431381 erythrocyte sedimentation rate 0.462822 H. capsulatum infection 0.524406 lower lung 0.414034 urine EIA 0.446921 common clinical presentation 0.409187 Low clinical suspicion 0.406632 urine EIA tests 0.409679 fungus Histoplasma capsulatum 0.493899 chest radiograph 0.413869	CLICK HERE
10725	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Multiple Chronic Conditions Among US Adults: A 2012 Update - CDC	The objective of this research was to update earlier estimates of prevalence rates of single chronic conditions and multiple (>2) chronic conditions (MCC) among the noninstitutionalized, civilian US adult population. Data from the 2012 National Health Interview Survey (NHIS) were used to generate estimates of MCC for US adults and by select demographic characteristics. Approximately half (117 million) of US adults have at least one of the 10 chronic conditions examined (ie, hypertension, coronary heart disease, stroke, diabetes, cancer, arthritis, hepatitis, weak or failing kidneys, current asthma, or chronic obstructive pulmonary disease [COPD]). Furthermore, 1 in 4 adults has MCC.	Family Core 0.664968 state-sponsored health plans 0.660267 health care provider 0.669072 Prev Chronic Dis 0.829776 National Health Interview 0.829361 non-Hispanic Asian adults 0.670197 multiple chronic conditions 0.802044 prevalence rates 0.658045 Health Insurance Program 0.662689 Disease Control 0.664444 Sample Adult Core 0.654403 public health systems 0.665516 health care providers 0.664373 health insurance coverage 0.855923 multistage health survey 0.676458 Vital Health Stat 0.684352 non-Hispanic black adults 0.670252 Health Interview Survey 0.831106 MCC prevalence 0.710882 national health surveys 0.666836 Summary health statistics 0.695035 insurance coverage status 0.652436 chronic bronchitis 0.674976 Chronic Disease 0.6709 obstructive pulmonary disease 0.655406	Public health insurance 0.665421 United States 0.709258 adults 0.768261 prevalence estimates 0.658394 earlier estimates 0.660227 military health plans 0.660098 public health concern 0.664994 public health 0.737428 health care 0.674012 non-Hispanic white adults 0.670271 Mental health conditions 0.684357 sample adult 0.679524 MCC 0.755341 NHIS Core questionnaires 0.651475 chronic conditions 0.977276 different conditions 0.65173 NHIS Family Core 0.661626 public health problem 0.676722 Public Health Service 0.662564 single chronic conditions 0.789971 Goodman RA 0.664088 select demographic characteristics 0.651355 coronary heart disease 0.78866 Public Health Rep 0.662394	CLICK HERE
10738	Centers for Disease Control and Prevention	Html	en	Pandemic Planning - Respiratory Protection - NIOSH Workplace Safety and Health Topic	Options to Prolong Existing and Surge Capacity Supplies of Respirators during Infection with Novel Influenza A Viruses Associated with Severe Disease	infection 0.419151 air purifying respirators 0.833825 professionals 0.418928 individuals 0.41746 result 0.420414 number 0.417482 limited reuse 0.503746 inventories 0.424691 responsibility 0.422225 options 0.43867 healthcare institution 0.509525 webpage 0.422237 respiratory protection 0.636059 surge capacity supplies 0.631904 events 0.417924 combination 0.419195 Implement practices 0.500669	types 0.417946 respiratory protection program 0.635675 Surgical 0.418485 infectious disease outbreak 0.651038 complications 0.419624 influenza pandemic 0.541515 N95 respirators 0.979091 respiratory pathogen outbreak 0.663036 elastomeric half-mask 0.509169 approaches 0.418888 healthcare facilities 0.504247 FDA-cleared 0.418496 N95 filtering facepiece 0.764688 highest risk 0.503301 administrative controls 0.503617 alternatives 0.418964 NIOSH-certified 0.418518	CLICK HERE
11857	Centers for Disease Control and Prevention	Html	en	Pertussis | Whooping Cough | Surveillance | Cases by Year | CDC	Pertussis Surveillance and Reporting	Surveillance 0.259049 United States 0.535386	related trend charts 0.965087 pertussis cases 0.789691	CLICK HERE
12371	Centers for Disease Control and Prevention	Image	null	Lung Cancer in African-American Men (600W x 2140H)	null			CLICK HERE
16167	Centers for Disease Control and Prevention	Html	en	Aquatic Professionals | Healthy Swimming | Healthy Water	null	skill levels 0.402869 line 0.235517 aquatic professionals 0.696475 swimmers 0.255285 pages 0.233007 safe environments 0.387078 defense 0.235398 management 0.232161	lifeguards 0.285654 construction 0.232556 information 0.232838 injury 0.23516 public aquatic venues 0.918637 operation 0.232443 maintenance 0.23233 aquatic facility designers 0.802838	CLICK HERE
16441	Centers for Disease Control and Prevention	Html	en	Community Perspectives on Access to and Availability ofHealthy Food in Rural, Low-Resource, Latino Communities	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.	survey respondents 0.396408 Merced County officials 0.353285 agricultural industry 0.385674 Food cost perceptions 0.333439 healthy food intake 0.347406 health disparities 0.40204 healthy food 0.530093 healthy food consumption 0.407957 culture-centered approach 0.341439 Merced County respondents 0.404877 food environments 0.387725 rural areas 0.355509 retail food environment 0.345261 nonretail outlets 0.339741 alternate food outlets 0.392454 grocery stores 0.46532 community 0.350888 physical access 0.354784 community health 0.342366 new food outlets 0.348673 healthy food access 0.376662 large food companies 0.351495 local food environment 0.336065 Merced County resident 0.374098 fast food 0.349081	food deserts 0.500271 nonretail food environments 0.340274 dietary intake 0.334047 focus groups 0.411218 traditional food outlets 0.370993 County rural residents 0.357134 South Merced 0.350542 food desert 0.339556 public health 0.39069 Merced County 0.917839 food environment 0.6888 ground-truthed food environment 0.334347 Merced County Department 0.377164 Innovative policy solutions 0.333087 dollar stores 0.334388 food 0.720193 food access 0.553688 Merced County residents 0.450333 affordable healthy food 0.343541 vegetable stands 0.421654 healthy food options 0.349302 neighborhood food environment 0.386563 nonretail food outlets 0.448606 food outlets 0.485119	CLICK HERE