| 1169 |
Centers for Disease Control and Prevention |
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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 |
|
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| 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 |
|
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| 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 |
|
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| 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 |
|
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| 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 |
|
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| 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 |
|
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| 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 |
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Lung Cancer in African-American Men (600W x 2140H) |
null |
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| 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 |
|
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| 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 |
|
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