| 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 |
|
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| 4970 |
Centers for Disease Control and Prevention |
Html |
en |
Health-related quality of life and the physical activity levels of middle-aged women, California Health Interview Survey, 2005 |
null |
| public health interventions | 0.346158 |
| Research Triangle Institute | 0.357773 |
| fewer recent activity | 0.351956 |
| Average recent activity | 0.348055 |
| middle-aged women | 0.365232 |
| Asian women | 0.408273 |
| health care professionals | 0.397465 |
| health-related quality | 0.434569 |
| lower annual household | 0.379503 |
| racial/ethnic groups | 0.684312 |
| health education campaign | 0.344116 |
| Health Policy Research | 0.405256 |
| annual household incomes | 0.349567 |
| complex sample survey | 0.370802 |
| Health Interview Survey | 0.373532 |
| physical activity decrease | 0.370552 |
| sample survey design | 0.370249 |
| recent activity limitation | 0.35928 |
| regular physical activity | 0.516593 |
| physical health | 0.360189 |
| physical activity level | 0.412233 |
| white women | 0.456684 |
| potential confounders | 0.358799 |
| Research Triangle Park | 0.358598 |
| active vs | 0.365124 |
|
| HRQOL | 0.418478 |
| women | 0.603561 |
| study | 0.372393 |
| smaller racial/ethnic groups | 0.344914 |
| United States | 0.350206 |
| African Americans | 0.384866 |
| California Health Interview | 0.373377 |
| major public health | 0.344188 |
| national health education | 0.363521 |
| CHIS | 0.349072 |
| African American women | 0.4428 |
| different physical activity | 0.364896 |
| Latinas | 0.352926 |
| health | 0.485734 |
| annual household income | 0.416366 |
| recent activity | 0.40149 |
| moderate activity | 0.352874 |
| physical activity | 0.970524 |
| California adult women | 0.344772 |
| overall health status | 0.344239 |
| incidental physical activity | 0.36129 |
| different racial/ethnic groups | 0.606915 |
| leisure-time physical activity | 0.369384 |
| Los Angeles | 0.361567 |
|
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| 5469 |
Centers for Disease Control and Prevention |
Html |
en |
Malononitrile - 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 |
|
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| 5774 |
Centers for Disease Control and Prevention |
Html |
en |
Resorcinol - 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 |
|
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| 10102 |
Centers for Disease Control and Prevention |
Html |
en |
Mortality Resulting From Congenital Heart Disease - NCBDDD |
null |
| common type | 0.327912 |
| Nembhard WN | 0.326078 |
| infant death | 0.330792 |
| Gilboa SM | 0.326012 |
| CDC study highlights | 0.357999 |
| Correa A. Mortality | 0.347985 |
| new Centers | 0.33013 |
| future occurrence | 0.322548 |
| unique collaboration | 0.322511 |
| time period | 0.325353 |
| Salemi JL | 0.325361 |
| Disease Control | 0.330163 |
| children | 0.327505 |
| ethnic groups | 0.325377 |
| Congenital Heart Disease | 0.465021 |
| median age | 0.326488 |
| support organizations | 0.323729 |
| major cause | 0.326071 |
| congenital heart defect | 0.413295 |
| American Heart Association | 0.367525 |
| Defects Prevention Study | 0.40669 |
| Mortality Resulting | 0.355911 |
| death rates | 0.328823 |
| prevention opportunities | 0.32523 |
| largest population-based effort | 0.347686 |
|
| congenital heart defects | 0.953928 |
| birth defects webpage | 0.403983 |
| disease tracking | 0.324571 |
| death | 0.35453 |
| United States | 0.466015 |
| adults | 0.335033 |
| public health approach | 0.344995 |
| appropriate medical care | 0.34595 |
| technical assistance | 0.323851 |
| future studies | 0.324931 |
| death certificates | 0.329864 |
| public health | 0.348434 |
| visit CDC | 0.328928 |
| Congenital Heart Public | 0.410934 |
| lifelong disability | 0.328318 |
| study regions | 0.32576 |
| special attention | 0.326364 |
| important risk factors | 0.34239 |
| Population-based means | 0.32651 |
| birth defects | 0.414766 |
| U.S. population | 0.323108 |
| lifelong conditions | 0.327297 |
| journal Circulation | 0.329814 |
| important clues | 0.324381 |
|
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| 11217 |
Centers for Disease Control and Prevention |
Html |
es |
Día Mundial de la Tuberculosis 2012: Alto a la TB en mi generación |
Este año los CDC seleccionaron el lema 'Detectemos la TB. Tratemos la TB. Trabajemos juntos para eliminar la TB'. |
| Archivo Apple Quicktime | 0.236925 |
| Archivo RealPlayer | 0.146001 |
| Robert Koch | 0.175426 |
| alto riesgo | 0.464564 |
| Archivo Microsoft PowerPoint | 0.253444 |
| Archivo Adobe PDF | 0.233764 |
| Nación Navajo | 0.148728 |
| Estados Unidos | 0.908553 |
| Jonathan Iralu | 0.484483 |
|
| Archivo Microsoft | 0.66842 |
| menor duración | 0.148076 |
| Archivo Microsoft Word | 0.250996 |
| DÃa Mundial | 0.975522 |
| Mycobacterium tuberculosis | 0.805733 |
| salud pública | 0.803374 |
| Archivo Zip Comprimido | 0.234445 |
| Archivo Microsoft Excel | 0.232459 |
|
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| 11660 |
Centers for Disease Control and Prevention |
Html |
es |
PrevenciÓn del VIH - InformaciÓn BÁsica - VIH/SIDA |
null |
| integrante vih | 0.856485 |
| Archivo Apple Quicktime | 0.230943 |
| pareja vih | 0.69754 |
| personas vih | 0.638124 |
| pareja femenina vih | 0.620733 |
| hombre vih | 0.886879 |
| alto riesgo | 0.695131 |
| Archivo Microsoft PowerPoint | 0.232772 |
| Archivo Adobe PDF | 0.230533 |
| profilaxis prexposición | 0.998226 |
| pequeños agujeritos | 0.236499 |
|
| prácticas sexuales | 0.420607 |
| Archivo Microsoft | 0.291301 |
| Archivo Microsoft Word | 0.232424 |
| profilaxis posexposición | 0.662343 |
| hora cuenta | 0.309267 |
| largo plazo | 0.299601 |
| Archivo Zip Comprimido | 0.230496 |
| Archivo Microsoft Excel | 0.229995 |
| persona vih | 0.844191 |
| parejas masculinas bisexuales | 0.43484 |
|
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| 12733 |
Centers for Disease Control and Prevention |
Html |
en |
Second Hand Smoke: Danger! | CDC Features |
Smoke free home and vehicles for cleaner air and healthy heart and lungs. |
| smokefree multiunit housing | 0.443957 |
| healthier heart | 0.36193 |
| safe level | 0.356482 |
| smokefree laws | 0.396661 |
| smokefree policies | 0.396536 |
| children | 0.371866 |
| properties—especially multiunit buildings—smokefree | 0.390444 |
| smokefree units | 0.394594 |
| secondhand smoke | 0.970751 |
| major source | 0.352662 |
| asthma attacks | 0.352577 |
| tobacco smoke | 0.457471 |
| lower income levels | 0.400787 |
| Smokers campaign | 0.405385 |
| respiratory infections | 0.353145 |
| tobacco products | 0.353166 |
| population groups | 0.354303 |
| state laws | 0.353118 |
| nonsmokers | 0.485906 |
| dangerous chemicals | 0.415924 |
| housing authorities | 0.430473 |
| brief exposure | 0.391351 |
| smokefree rules | 0.400471 |
| Environmental Protection Agency | 0.402239 |
| cleaner air | 0.359673 |
|
| government-funded housing | 0.357948 |
| smoke causes | 0.45718 |
| lifetime nonsmoker | 0.357176 |
| comprehensive laws | 0.353472 |
| Young children | 0.35955 |
| adult nonsmokers | 0.411217 |
| indoor workplaces | 0.403994 |
| heart attack | 0.35344 |
| United States | 0.408543 |
| Breathing secondhand smoke | 0.611751 |
| specific rooms | 0.351993 |
| public places | 0.406095 |
| infant death syndrome | 0.400122 |
| heart disease | 0.355444 |
| complete protection | 0.350971 |
| multiunit housing | 0.462117 |
| cigarette smoking rates | 0.429966 |
| contains dangerous chemicals | 0.399635 |
| secondhand smoke exposure | 0.858033 |
| people | 0.351823 |
| Surgeon General | 0.407102 |
| carcinogen—an agent | 0.356647 |
| air fresheners | 0.35213 |
| public housing authorities | 0.394551 |
|
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| 15528 |
Centers for Disease Control and Prevention |
Html |
en |
Update on H3N2 Canine Influenza (Dog Flu) Virus |
Update on H3N2 Canine Influenza (Dog Flu) Virus - CDC |
| contagious respiratory disease | 0.298115 |
| United States | 0.223994 |
| dog flu virus | 0.481732 |
| Wisconsin Veterinary Diagnostic | 0.284166 |
| influenza A viruses | 0.417712 |
| dog flu viruses | 0.410757 |
| Animal Diagnostic Laboratory | 0.459338 |
| CDC’s Influenza | 0.391338 |
| phenotypic analyses | 0.211362 |
| York State Animal | 0.470874 |
| human health risk | 0.304377 |
| U.S. dog populations | 0.292202 |
| current outbreak | 0.211192 |
| dog flu | 0.604496 |
| press release | 0.208254 |
| H3N2 canine flu | 0.465784 |
| genetic mutations | 0.214213 |
| vaccine virus selection | 0.440089 |
| canine influenza | 0.953988 |
|
| canine flu virus | 0.737626 |
| New York State | 0.470992 |
| Chicago area | 0.208424 |
| viral characteristics | 0.212249 |
| genetic sequences | 0.223796 |
| Cornell University | 0.206409 |
| H3N8 viruses | 0.253193 |
| H3N2 canine influenza | 0.578536 |
| human infections | 0.202687 |
| genetic analysis | 0.309341 |
| field situation | 0.209923 |
| influenza A H3N2 | 0.345045 |
| State Animal Diagnostic | 0.465104 |
| year-round surveillance | 0.210623 |
| severe disease | 0.220509 |
| influenza A H3N8 | 0.421903 |
| informal inventory | 0.211097 |
| canine influenza viruses | 0.920928 |
|
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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 |
|
CLICK HERE |