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Preventing Chronic Disease | Tobacco Treatment Outcomes in Patients With and Without a History of Depression, Czech Republic, 2005"2010 - CDC |
Higher prevalence of smoking among depressed patients, as well as the risk of depression in smokers, is well documented. The proportion of patients with a history of depression among those seeking intensive treatment of tobacco dependence is also high. |
| high smoking abstinence | 0.527962 |
| Tobacco smoking | 0.449688 |
| overall smoking abstinence | 0.555866 |
| current smokers | 0.447406 |
| tobacco-dependence treatment | 0.510258 |
| smoking status | 0.491775 |
| logistic regression | 0.472606 |
| major depression | 0.457691 |
| depression vs | 0.447284 |
| past depression | 0.470465 |
| patients | 0.593023 |
| history | 0.643478 |
| female smokers | 0.442861 |
| smoking cessation treatment | 0.673476 |
| smoking cessation | 0.751955 |
| Nicotine Tob Res | 0.474625 |
| tobacco dependence treatment | 0.511999 |
| self-reported smoking status | 0.488013 |
| smokers patients | 0.475883 |
| dependence treatment services | 0.46037 |
| psychiatric comorbidity | 0.454371 |
| treatment | 0.709759 |
| study | 0.495581 |
| tobacco treatment | 0.480204 |
| tobacco treatment program | 0.457252 |
|
| smokers | 0.733854 |
| General University Hospital | 0.47647 |
| cigarette smoking | 0.450083 |
| treatment program | 0.581108 |
| smoking cessation outcome | 0.471241 |
| smoking abstinence rates | 0.646707 |
| tobacco dependence | 0.961803 |
| S. Smoking cessation | 0.47021 |
| discrepant abstinence rates | 0.443305 |
| ) errors. | 0.448449 |
| Tobacco Treatment Specialist | 0.456427 |
| clinically depressed smokers | 0.452307 |
| smoking abstinence | 0.927216 |
| smoking abstinence rate | 0.69791 |
| Time-varying smoking abstinence | 0.508957 |
| treatment success rates | 0.487601 |
| Czech Republic | 0.903502 |
| current treatment | 0.468854 |
| et al | 0.524613 |
| smoking cessation trials | 0.476087 |
| male smokers | 0.44284 |
| depression | 0.94038 |
| lower smoking abstinence | 0.525044 |
| tobacco-dependent smoking cessation | 0.4988 |
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Notes from the Field: Multistate Outbreak of ListeriosisLinked to Soft-Ripened Cheese - United States, 2013 |
Mary J. Choi, MD1,2, Kelly A. Jackson, MPH3, Carlota Medus, PhD1, Jennifer Beal, MPH4, Carrie E. |
| Mary J. Choi | 0.889485 |
| Listeria monocytogenes infections | 0.798193 |
| Carrie E. Rigdon | 0.764192 |
| Crave Brothers | 0.924582 |
| Coordinated Outbreak Response | 0.8109 |
| original MMWR paper | 0.738982 |
| U.S. Government Printing | 0.732868 |
| total case count | 0.733927 |
| Minnesota Department | 0.77728 |
| Evaluation Network | 0.752589 |
| Human Services | 0.72224 |
| Drug Administration | 0.80361 |
| outbreak PFGE pattern | 0.796307 |
| indistinguishable pulsed-field gel | 0.772021 |
| State Health Services | 0.752626 |
| Benjamin J. Silk | 0.761591 |
| U.S. Department | 0.736065 |
| MMWR HTML versions | 0.733366 |
| outbreak pattern | 0.719803 |
| Petit FrУЈre | 0.963446 |
| soft cheese consumption | 0.779532 |
| Kirk E. Smith | 0.756371 |
| certain soft cheeses | 0.769126 |
|
| outbreak-related cases | 0.741769 |
| electronic PDF version | 0.732305 |
| Pasteurization eliminates Listeria | 0.757446 |
| Zoonotic Infectious Diseases | 0.726978 |
| food exposure frequencies | 0.843633 |
| foodborne disease surveillance | 0.753502 |
| molecular subtyping network | 0.763733 |
| Kelly A. Jackson | 0.75409 |
| soft cheeses | 0.837902 |
| isolate upload date | 0.746774 |
| different grocery stores | 0.86472 |
| cheese-making facility | 0.719569 |
| L. monocytogenes | 0.772017 |
| Listeria Initiative* data | 0.762122 |
| Les FrУЈres | 0.82567 |
| cheese-making process | 0.786122 |
| Tami C. Cloyd | 0.767843 |
| original paper copy | 0.726525 |
| Brothers Farmstead Cheese | 0.807666 |
| sporadic listeriosis cases | 0.799318 |
| David C. Melka9 | 0.760484 |
| substantial sanitation deficiencies | 0.73496 |
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o-Toluidine - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7394 |
Centers for Disease Control and Prevention |
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National Center for Environmental Health - Landing Page |
NCEH provides leadership to promote health & quality of life by preventing or controlling those diseases or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| Action | 0.251241 |
| CDC | 0.471993 |
| data | 0.252147 |
| Carbon Monoxide | 0.548936 |
| disability | 0.261292 |
| Twitter | 0.267062 |
| premature death | 0.573714 |
| tools | 0.252094 |
| avoidable illness | 0.600553 |
| American people | 0.547006 |
| extreme heat | 0.499597 |
| Poisoning Learn | 0.63422 |
| CDCEnvironment | 0.251241 |
| Lead Poisoning Prevention | 0.894605 |
| children | 0.31771 |
| national program | 0.548633 |
| wildfire | 0.276045 |
| hurricane season | 0.526703 |
| lasting impacts | 0.532748 |
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| Stay | 0.258668 |
| Extremely hot weather | 0.767362 |
| Wildfires | 0.285217 |
| Environmental Health | 0.547213 |
| healthy environment | 0.544142 |
| Tracking Network | 0.96655 |
| home | 0.255769 |
| symptoms | 0.256094 |
| disabilities | 0.259762 |
| exposure | 0.2608 |
| certain environmental hazards | 0.835934 |
| plans | 0.262247 |
| Network Tracking programs | 0.753125 |
| directs | 0.284415 |
| related factors | 0.551596 |
| NCEH | 0.318769 |
| family | 0.254622 |
| populations | 0.267515 |
| detector | 0.266227 |
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Global Health - Nigeria - Related Links |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
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| 9056 |
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Soil-transmitted Helminths - Global Health |
Education and information about Soil-Transmitted Helminths including Human Hookworm, Roundworm and Whipworm. |
| soil-transmitted helminth infections | 0.723402 |
| health care provider | 0.491245 |
| larvae | 0.347036 |
| areas | 0.322431 |
| fingers | 0.321438 |
| soil-transmitted helminths | 0.973105 |
| infected person defecates | 0.577354 |
| early 20th century | 0.488959 |
| tremendous disability | 0.422265 |
| diarrhea | 0.321388 |
| southeastern United States | 0.482087 |
| hookworm eggs | 0.687193 |
| Heavy infections | 0.41332 |
| health problems | 0.404668 |
| rectal prolapse | 0.413803 |
| field | 0.320705 |
| intestinal worms | 0.458617 |
| Neglected Tropical Diseases | 0.51123 |
| major burden | 0.568275 |
| Ascaris | 0.621091 |
| Soil-transmitted helminth infection | 0.594127 |
| intestine | 0.325667 |
| United States | 0.503452 |
| Hookworm infection | 0.557579 |
|
| sanitation | 0.323617 |
| NTDs | 0.329389 |
| abdominal pain | 0.406182 |
| disease worldwide | 0.551751 |
| moist climates | 0.432949 |
| immature worms | 0.439193 |
| Necator | 0.330233 |
| hookworm | 0.794744 |
| STHs | 0.330802 |
| Anclostoma duodenale | 0.557805 |
| people | 0.410646 |
| fertilizer | 0.320623 |
| contaminated soil | 0.417576 |
| Ascariasis | 0.322963 |
| parasitic worms | 0.575221 |
| temperate zones | 0.42824 |
| bushes | 0.322662 |
| parasitic worm | 0.445664 |
| protein loss | 0.405084 |
| garden | 0.320719 |
| infected persons | 0.488466 |
| cognitive growth retardation | 0.494785 |
| ingestion | 0.324498 |
| humans | 0.34482 |
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Preventing Chronic Disease | Adherence to Cancer Screening Guidelines and Predictors of Improvement Among Participants in the Kansas State Employee Wellness Program - CDC |
Employee wellness programs (EWPs) have been used to implement worksite-based cancer prevention and control interventions. However, little is known about whether these programs result in improved adherence to cancer screening guidelines or how participants’ characteristics affect subsequent screening. |
| HRA results | 0.490524 |
| cancer screening behavior | 0.580512 |
| cancer screening status | 0.563566 |
| HRA participation rates | 0.581882 |
| kansas state ewp | 0.487762 |
| screening adherence rates | 0.565639 |
| state employee health | 0.492066 |
| higher HRA participation | 0.491862 |
| colorectal cancer screening | 0.705184 |
| preventive care recommendations | 0.498465 |
| health risk assessments | 0.489604 |
| low HRA participation | 0.508948 |
| HRA response data | 0.496037 |
| cancer screening recommendations | 0.596697 |
| cervical cancer screening | 0.612439 |
| Kansas Medical Center | 0.507735 |
| cancer screening guidelines | 0.790762 |
| EWP participants | 0.502883 |
| overall screening rates | 0.519178 |
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| annual HRA questionnaire | 0.497065 |
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| HRA responses | 0.503941 |
| cancer screening | 0.964966 |
| HRA data | 0.490315 |
|
| cancer screening practices | 0.547989 |
| health promotion | 0.556307 |
| subsequent screening | 0.520083 |
| employer-sponsored health promotion | 0.492337 |
| HRA participants | 0.596742 |
| screening nonadherence status | 0.527522 |
| cancer screening adherence | 0.620111 |
| screening adherence measures | 0.568674 |
| worksite health promotion | 0.534283 |
| eligible participants | 0.523536 |
| health promotion programs | 0.485457 |
| breast cancer screening | 0.576911 |
| cancer screening services | 0.570675 |
| health | 0.582105 |
| healthier HRA participants | 0.528866 |
| Kansas Health Policy | 0.489998 |
| worksite biometric screening | 0.532954 |
| multiyear HRA participants | 0.544863 |
| cancer screening tests | 0.571223 |
| Occup Environ Med | 0.489628 |
| P. Cancer screening | 0.548946 |
| worksite screening | 0.519868 |
| multiple-year HRA participants | 0.529353 |
| HRA questionnaire | 0.499257 |
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Norovirus outbreaks from contaminated food are common in food service settings | Press Release | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Public health agencies | 0.505135 |
| Mortality Weekly Report | 0.506629 |
| work environment | 0.460557 |
| food service industry | 0.712565 |
| territorial health departments | 0.513074 |
| common single food | 0.534762 |
| Disease Control | 0.465057 |
| CDC journal Morbidity | 0.532748 |
| health care-associated infections | 0.504377 |
| specific food item | 0.533453 |
| on-call workers | 0.466694 |
| food service | 0.760653 |
| Aron Hall | 0.460111 |
| food contamination | 0.490577 |
| CDC Director Tom | 0.547794 |
| outbreak data | 0.462623 |
| contaminated food | 0.638192 |
| key role health | 0.508343 |
| norovirus outbreaks | 0.921333 |
| food service workers | 0.608791 |
| vehicle passenger safety | 0.499346 |
| outbreak reporting | 0.512858 |
| practice good hand | 0.520635 |
| percent | 0.462352 |
| cardiovascular health | 0.459501 |
|
| sick leave | 0.477078 |
| ready-to-eat foods | 0.591028 |
| Drug Administration model | 0.509001 |
| prescription drug overdose | 0.497156 |
| infected people | 0.473018 |
| norovirus illness | 0.470901 |
| norovirus illnesses | 0.470579 |
| Outbreak reporting rates | 0.505373 |
| close contact | 0.458207 |
| health departments | 0.622666 |
| Food Code | 0.496327 |
| bare hands | 0.5206 |
| key health indicators | 0.505175 |
| food safety practices | 0.564543 |
| food safety laws | 0.551087 |
| food workers | 0.541834 |
| Vital Signs report | 0.623266 |
| infected food worker | 0.545199 |
| cruise ships | 0.458451 |
| CDC guidelines | 0.495032 |
| food safety | 0.616197 |
| National Outbreak Reporting | 0.511471 |
| CDC report | 0.494383 |
| sick workers | 0.486604 |
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Preventing A Million Heart Attacks and Strokes: A TurningPoint for Impact | Public Health Grand Rounds | CDC |
Million Hearts® is a national initiative to prevent heart attacks and strokes , which contribute to almost 800,000 deaths from cardiovascular disease each year. |
| Health Grand Rounds | 0.853336 |
| heart attacks | 0.919835 |
| Human Services | 0.223109 |
| policy approaches | 0.210276 |
| half-way mark | 0.217821 |
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| Hearts® | 0.214821 |
| statewide impact | 0.200985 |
| Deputy Scientific Director | 0.359536 |
| sustainable prevention | 0.223608 |
| federal agencies | 0.220075 |
| public health | 0.613172 |
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| common goal | 0.214195 |
| cardiovascular events | 0.200442 |
|
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| tobacco policy efforts | 0.366346 |
| clinical care | 0.396311 |
| blood pressure control | 0.740926 |
| lower sodium products | 0.378093 |
| complex problem | 0.218276 |
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| food supply | 0.215644 |
| better performance | 0.212538 |
| clinical care experts | 0.370905 |
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| John Iskander | 0.206236 |
| impactful actions | 0.208641 |
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A National Asian-Language Smokers&rsquo Quitline&mdash United States, 2012&ndash2014 |
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. |
| Asian language-speaking smokers | 0.247251 |
| health insurance | 0.246709 |
| ASQ call volume | 0.327745 |
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| Disease Control | 0.321061 |
| counseling sessions | 0.279984 |
| unique callers | 0.364563 |
| tobacco users | 0.612528 |
| proxy callers | 0.436282 |
| ASQ coaches | 0.334474 |
| national Asian Smokers | 0.282237 |
| nicotine replacement therapy | 0.248348 |
| State tobacco control | 0.251031 |
| California | 0.366149 |
| cessation services | 0.238298 |
| ASQ stakeholders | 0.357074 |
| CKV-language adult smokers | 0.302778 |
| ASQ reach | 0.32479 |
| CKV speakers | 0.350124 |
| nicotine patches | 0.261885 |
| ASQ services | 0.35224 |
| Smokers national tobacco | 0.28231 |
| ASQ intake | 0.384173 |
| Asian Smokers | 0.291677 |
| smoking prevalence | 0.265332 |
|
| United States | 0.326369 |
| Vietnamese callers | 0.536613 |
| smokers | 0.403329 |
| ASQ administrative data | 0.395352 |
| future ASQ promotions | 0.360567 |
| quitline services | 0.320047 |
| CKV adult smokers | 0.247402 |
| ASQ | 0.860641 |
| Chinese callers | 0.447196 |
| Asian language speakers | 0.288916 |
| California state quitline | 0.255655 |
| ASQ advertisements | 0.330531 |
| noncigarette tobacco products | 0.282975 |
| ASQ callers | 0.673536 |
| limited English fluency | 0.388798 |
| telephone quitline services | 0.245135 |
| current callers | 0.341386 |
| California tobacco users | 0.267385 |
| eligible callers | 0.4184 |
| Korean callers | 0.481508 |
| Asian language smokers | 0.262899 |
| daily cigarette smokers | 0.313741 |
| callers | 0.993564 |
| Asian Pacific Partners | 0.255043 |
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