| 802 |
Centers for Disease Control and Prevention |
Html |
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Current Cigarette Smoking Among Adults - United States,2005-2012 |
Israel T. Agaku, DMD1,2, Brian A. King, PhD2, Shanta R. |
| current smoking estimates | 0.506102 |
| personal care needs | 0.48293 |
| overall smoking prevalence | 0.749042 |
| Tobacco Control Act | 0.42611 |
| high-impact antitobacco mass | 0.508104 |
| quit attempt | 0.502803 |
| National Health Interview | 0.502654 |
| current smokers | 0.59819 |
| tobacco control programs | 0.563476 |
| current cigarette smokers | 0.505227 |
| smoking status | 0.542887 |
| daily living | 0.676184 |
| current smoking | 0.528141 |
| daily current smokers | 0.521958 |
| everyday household chores | 0.478128 |
| comprehensive tobacco control | 0.476275 |
| high smoking prevalence | 0.568439 |
| smoking cessation website | 0.494236 |
| Health Interview Survey | 0.503638 |
| U.S. Census region | 0.510401 |
| instrumental activities | 0.473759 |
| significantly higher prevalence | 0.48724 |
| persons | 0.449074 |
| antitobacco mass media | 0.506343 |
| mass media campaigns | 0.497704 |
|
| self-reported smoking status | 0.501686 |
| tobacco control efforts | 0.423861 |
| cigarettes | 0.431481 |
| overall quit ratio | 0.527226 |
| Family Smoking Prevention | 0.500879 |
| smoking prevalence | 0.993089 |
| United States | 0.753402 |
| mean CPD | 0.438394 |
| age group | 0.466496 |
| comprehensive smoke-free laws | 0.61756 |
| tobacco price increases | 0.513074 |
| adult cigarette smoking | 0.490982 |
| U.S. Census Bureau | 0.456988 |
| cigarette smoking | 0.708846 |
| North Dakota | 0.440646 |
| year.†Quit ratios | 0.471591 |
| population smoking prevalence | 0.569172 |
| U.S. adults | 0.579922 |
| adult smoking | 0.453673 |
| daily smokers | 0.767304 |
| cigarette smoking prevalence | 0.630518 |
| emotional problem | 0.479395 |
| CPD | 0.497602 |
| tobacco control | 0.653284 |
|
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Centers for Disease Control and Prevention |
Html |
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Preventing Youth Violence | CDC Features |
Everyone has an important role in stopping youth violence before it starts. CDC’s Preventing Youth Violence: Opportunities for Action and its companion guide provide action steps to help everyone be part of the solution. |
| practice | 0.308227 |
| CDC | 0.344596 |
| significant harm | 0.342373 |
| injuries—13 young people | 0.370535 |
| physical force | 0.339257 |
| homicide | 0.317433 |
| research | 0.316445 |
| different forms | 0.340948 |
| key strategies | 0.335373 |
| solution | 0.327776 |
| action | 0.423109 |
| lasting differences | 0.336691 |
| evidence-based prevention strategies | 0.362785 |
| new releases | 0.337423 |
| nonviolent role models | 0.362327 |
| list | 0.307601 |
| general term | 0.341403 |
| offer examples | 0.336369 |
| important role | 0.342492 |
| companion guide | 0.439059 |
| community members | 0.332179 |
| death | 0.315711 |
| adults | 0.313889 |
| cause | 0.31495 |
| range | 0.307674 |
|
| young people | 0.426422 |
| young victims | 0.336583 |
| programmatic expertise | 0.340211 |
| youth violence | 0.932929 |
| threats | 0.307586 |
| public health professionals | 0.409871 |
| power | 0.30821 |
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| community residents | 0.338803 |
| Prevent Youth Violence | 0.561054 |
| Community leaders | 0.360429 |
| approaches | 0.322367 |
| economic health | 0.338784 |
| families | 0.324357 |
| opportunities | 0.361255 |
| action steps | 0.404576 |
| gang-related violence | 0.394996 |
| public health problem | 0.37459 |
| safe choices | 0.337227 |
| Web page | 0.338208 |
| activities | 0.31349 |
| report | 0.323839 |
| ages | 0.308227 |
| information | 0.341529 |
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| 6647 |
Centers for Disease Control and Prevention |
Html |
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Feasibility of partnering with emergency medical services to identify people at risk for uncontrolled high blood pressure. |
Uncontrolled high blood pressure (HBP) is a significant health problem and often goes undetected. In the prehospital care-delivery system of 9-1-1 emergency medical services (EMS) calls, emergency medical technicians (EMTs) routinely collect medical information, including blood pressure values, that may indicate the presence of chronic disease. |
| blood pressure check | 0.538165 |
| 9-1-1 EMS visit | 0.493049 |
| EMS personnel | 0.617834 |
| blood pressure checks | 0.511346 |
| medical incident report | 0.521647 |
| systolic blood pressure | 0.581828 |
| emergency medical services | 0.530796 |
| diastolic blood pressure | 0.581785 |
| health care providers | 0.473809 |
| blood pressure values | 0.575416 |
| blood pressure | 0.940294 |
| medical incident | 0.558504 |
| Health Seattle King | 0.502639 |
| emergency medical technicians | 0.473829 |
| blood pressure screening | 0.561087 |
| EMS | 0.671528 |
| blood pressure control | 0.491781 |
| mm Hg | 0.578164 |
| Marketing Research Center | 0.497172 |
| uncontrolled HBP | 0.72103 |
| intervention | 0.501608 |
| free blood pressure | 0.573019 |
| 9-1-1 EMS response | 0.475883 |
| EMS crew | 0.486358 |
| high HBP values | 0.479636 |
|
| study | 0.475653 |
| HBP information | 0.483282 |
| EMS division | 0.551303 |
| 9-1-1 EMS event | 0.496751 |
| EMS patients | 0.473823 |
| local fire station | 0.482555 |
| Public Health Seattle | 0.503105 |
| EMS care providers | 0.475052 |
| departments | 0.477972 |
| health care | 0.522622 |
| Health Marketing Research | 0.504222 |
| 9-1-1 EMS | 0.53151 |
| patient contact information | 0.546882 |
| EMTs | 0.535181 |
| community residents | 0.611166 |
| health | 0.573837 |
| follow-up blood pressure | 0.483744 |
| medical incident reports | 0.555322 |
| Health Belief Model | 0.545342 |
| high blood pressure | 0.532894 |
| blood pressure monitoring | 0.506722 |
| County EMS division | 0.534115 |
| Seattle King County | 0.516669 |
| King County | 0.587937 |
|
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| 7925 |
Centers for Disease Control and Prevention |
Html |
en |
Cervical Cancer Screening Among Women Aged 18-30 Years -United States, 2000-2010 |
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. |
| young women | 0.340195 |
| recent cervical cancer | 0.299504 |
| cervical cancer diagnosis | 0.299659 |
| U.S. Preventive Services | 0.303201 |
| Keisha A. Houston | 0.293658 |
| frequent cervical cancer | 0.292353 |
| test reduces cancer | 0.278881 |
| United States | 0.35805 |
| age group | 0.393057 |
| Pap test status | 0.407507 |
| Risk Factor Surveillance | 0.42625 |
| longer screening intervals | 0.278088 |
| ACOG guidelines | 0.282856 |
| Pap testing practices | 0.354865 |
| American Cancer Society | 0.360835 |
| Pap testing regress | 0.347444 |
| invasive cervical cancer | 0.298397 |
| routine screenings | 0.28634 |
| guidelines | 0.305317 |
| Pap tests | 0.337332 |
| Preventive Services Task | 0.300176 |
| consistent screening guidelines | 0.292007 |
|
| screening intervals | 0.280929 |
| Pap test | 0.920498 |
| New York | 0.27341 |
| V. Cervical cancer | 0.295455 |
| health-care coverage | 0.296742 |
| routine Pap tests | 0.326655 |
| cervical cancer screening | 0.518003 |
| Services Task Force | 0.301925 |
| U.S. Census region | 0.368605 |
| cervical cancer | 0.782042 |
| Newer cervical cancer | 0.28994 |
| survey response rates | 0.301542 |
| New Mexico | 0.273082 |
| Pap testing | 0.653571 |
| Pap test initiation | 0.341729 |
| Pap testing behaviors | 0.392696 |
| human papillomavirus | 0.276965 |
| New England | 0.273481 |
| New Hampshire | 0.273455 |
| Behavioral Risk Factor | 0.42644 |
| recent Pap test | 0.349199 |
| women | 0.569288 |
|
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| 8986 |
Centers for Disease Control and Prevention |
Video |
en |
CDC Tips From Former Smokers - Jamason: "I Didn't Know Why I Couldn't Breathe" |
Jamason and his mother Sherri talk about the day Jamason had to go to the hospital after having a severe asthma attack at work, triggered by exposure to secondhand smoke. Recounting the drive to the hospital, Sherri said, "I just held his hand, and told him just squeeze it every now and then so I know he's breathing." In this video from CDC's Tips From Former Smokers campaign, Jamason admits that after such a severe attack, he was afraid to leave the hospital because he knew that outside, in the real world, people smoke.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed: http://streaming.cdc.gov/vod.php?id=7917e7a0894e561488c5aad99c8adc8720130328095210563 |
| CDC Tips | 0.97665 |
| Smokers | 0.77496 |
|
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| 10511 |
Centers for Disease Control and Prevention |
Html |
en |
Email Updates: November 19, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| Metro TB Clinic | 0.567354 |
| CDC | 0.94535 |
| Public Health Matters | 0.593248 |
| Emergency Preparedness | 0.574722 |
| antibiotics promotes | 0.520775 |
| FDA Safety Information | 0.563832 |
| Nile virus infections | 0.558608 |
| Hurricane Sandy Response | 0.558506 |
| Marte Brand Ricotta | 0.552359 |
| – (CDC) | 0.708803 |
| treatment guidance | 0.497228 |
| CDC Science Clips | 0.811411 |
| Additional COCA Conference | 0.618132 |
| CDC Influenza Division | 0.777056 |
| important safety information | 0.550732 |
| subject matter experts | 0.573281 |
| Free CE credit/contact | 0.575105 |
| Weekly Flu View | 0.554918 |
| human medical products | 0.541086 |
| Pharmaceutical Compounding Guidance | 0.549753 |
| New Resource Web | 0.54805 |
| Screening Lab Perseveres | 0.549737 |
| annual TB Trot | 0.574889 |
| Current Travel Warnings | 0.559227 |
| crisis…or annual event | 0.569671 |
|
| Pharmaceutical Compounding | 0.556408 |
| multiple antibiotics | 0.520116 |
| Event Reporting Program | 0.552895 |
| Disease Outbreak | 0.518951 |
| Meningitis Outbreak Investigation | 0.572311 |
| Denver Public Health | 0.597431 |
| weekly feature | 0.495455 |
| USP General Chapter | 0.553805 |
| COCA Email Update | 0.614371 |
| United States Pharmacopeia | 0.556711 |
| west nile virus | 0.766968 |
| current epidemiology | 0.495616 |
| public health community | 0.596631 |
| CDC Works | 0.713781 |
| public health | 0.697025 |
| Specific Hazards preparedness | 0.568941 |
| incident command | 0.546342 |
| in-person training centers | 0.561332 |
| Nile virus disease | 0.559461 |
| FoodSafety.gov Reports FDA | 0.569685 |
| weekly influenza surveillance | 0.55418 |
| USDA Food Recalls | 0.553033 |
| Response Training Resources | 0.577355 |
| Multistate Outbreak | 0.516966 |
|
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Centers for Disease Control and Prevention |
Html |
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Evidence-Based HIV/STD Prevention Intervention for Black Men Who Have Sex with Men |
Jeffrey H. Herbst, PhD. |
| CDC. HIV prevalence | 0.597949 |
| new HIV infections | 0.69041 |
| comprehensive HIV | 0.613212 |
| unknown HIV serostatus | 0.636723 |
| infrequent HIV testing | 0.613324 |
| risk behaviors | 0.707857 |
| HIV prevention practice | 0.621911 |
| New York City | 0.63336 |
| hiv incidence | 0.631857 |
| appropriate HIV prevention | 0.620189 |
| higher HIV prevalence | 0.595365 |
| HIV prevention approach | 0.651811 |
| HIV risk behavior | 0.612988 |
| heterosexual HIV transmission | 0.595127 |
| unrecognised HIV infection | 0.604064 |
| HIV risk behaviors | 0.621813 |
| HIV prevention service | 0.61434 |
| HIV Incidence Surveillance | 0.595712 |
| HIV infection—United States | 0.603047 |
| black msm | 0.972479 |
| 3MV behavioral intervention | 0.595751 |
| hiv prevention interventions | 0.652062 |
| human immunodeficiency virus | 0.603209 |
| white MSM | 0.617303 |
| intervention | 0.65246 |
|
| HIV/STD prevention intervention | 0.634034 |
| new HIV infection | 0.622108 |
| sexual risk behaviors | 0.666198 |
| Latino MSM | 0.625345 |
| HIV prevention programming | 0.652144 |
| CDC. HIV | 0.600063 |
| United States | 0.70036 |
| black MSM struggle | 0.633723 |
| HIV prevalence | 0.599297 |
| high-impact HIV prevention | 0.651638 |
| HIV behavioral risk-reduction | 0.603395 |
| New York | 0.759115 |
| at-risk black MSM | 0.663732 |
| black men | 0.661816 |
| evidence-based behavioral intervention | 0.600694 |
| hiv prevention | 0.707229 |
| black MSM populations | 0.625511 |
| randomized controlled trial | 0.612554 |
| Evidence-based HIV Prevention | 0.613772 |
| HIV | 0.844056 |
| et al | 0.69257 |
| HIV testing | 0.633705 |
| unrecognized HIV infection | 0.621107 |
| HIV behavioral prevention | 0.618116 |
|
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| 11596 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Vaccination Performance Measurement Among AcuteCare Hospital-Based Health Care Personnel - United States, 2013-14Influenza Season |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| HCP opt-in Internet | 0.397919 |
| public reporting | 0.267381 |
| highest proportion | 0.270964 |
| influenza vaccination coverage | 0.464156 |
| previous influenza vaccination | 0.395134 |
| influenza vaccination data | 0.447758 |
| vaccination measurement | 0.316945 |
| NHSN data | 0.277217 |
| Internet panel survey | 0.296573 |
| NHSN participants | 0.320848 |
| hospital-based HCP influenza | 0.453885 |
| care hospital-based HCP | 0.422312 |
| vaccination statuses | 0.328578 |
| vaccination rates | 0.316306 |
| LIP vaccination status | 0.343356 |
| employee influenza vaccination | 0.369396 |
| influenza vaccine | 0.270134 |
| hospital-based HCP | 0.562663 |
| HCP summary influenza | 0.444511 |
| future influenza seasons | 0.318755 |
| future hospital-based reporting | 0.260823 |
| hospital-reported HCP vaccination | 0.483965 |
| known vaccination status | 0.336494 |
| annual influenza vaccination | 0.443268 |
| higher reported proportions | 0.281085 |
|
| health care settings | 0.280287 |
| HCP vaccination | 0.550816 |
| acute care hospitals | 0.421804 |
| HCP vaccination data | 0.505783 |
| U.S. HCP influenza | 0.435953 |
| hospital-based HCP vaccination | 0.498676 |
| HCP vaccination status | 0.52348 |
| adult students/trainees | 0.435634 |
| LIPs | 0.302994 |
| proportion | 0.32041 |
| United States | 0.273081 |
| receive influenza vaccination | 0.379014 |
| self-reported vaccination status | 0.37842 |
| HCP influenza vaccination | 0.9961 |
| NHSN-defined HCP categories | 0.392032 |
| health care | 0.321471 |
| exclusive HCP groups | 0.423445 |
| small HCP sample | 0.398895 |
| new NHSN data | 0.270494 |
| HCP groups | 0.497928 |
| quality reporting program | 0.287816 |
| unknown vaccination status | 0.452059 |
| Inpatient Quality Reporting | 0.287536 |
| Hospital Inpatient Quality | 0.284393 |
|
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| 12027 |
Centers for Disease Control and Prevention |
Html |
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Stroke |
Stroke - Gateway to Health Communication - CDC |
| exception | 0.341197 |
| African American male | 0.678919 |
| Strokes | 0.341925 |
| normal routine | 0.509596 |
| body | 0.343786 |
| excellent recovery. | 0.501661 |
| unhealthy diet | 0.534523 |
| high cholesterol | 0.521106 |
| health conditions | 0.518345 |
| simple phrase | 0.514697 |
| feeling | 0.346507 |
| major cause | 0.540391 |
| friends | 0.375932 |
| symptoms | 0.470212 |
| certain risk factors | 0.726103 |
| Prince Quire | 0.523319 |
| chances | 0.345055 |
| modifiable risk factor | 0.739806 |
| medical conditions | 0.512677 |
| medical emergencies. | 0.511988 |
| person | 0.500353 |
| 9-1-1 | 0.424981 |
| behavioral factors | 0.516813 |
| left hand | 0.50239 |
| U.S. A stroke | 0.80425 |
|
| blood vessel | 0.540078 |
| death | 0.343556 |
| act F.A.S.T | 0.530532 |
| weakness | 0.354018 |
| medical emergency—it | 0.527591 |
| face droop | 0.535587 |
| signs | 0.475861 |
| severe disability | 0.547731 |
| heart disease | 0.524228 |
| smoking | 0.371761 |
| emergency response team | 0.680286 |
| numbness | 0.36777 |
| higher risk | 0.525778 |
| local hospital | 0.501477 |
| arm drift | 0.518207 |
| non-modifiable risk factor | 0.725167 |
| stroke | 0.988554 |
| people | 0.342444 |
| blood supply | 0.547428 |
| high blood pressure | 0.703118 |
| family history | 0.529073 |
| immediate life-saving treatment | 0.685737 |
| brain tissue | 0.541429 |
| physical inactivity | 0.531891 |
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| 14293 |
Centers for Disease Control and Prevention |
Html |
en |
Fact Sheets | Million Hearts |
Find evidence-based, easy-to-understand information for your practice and for your patients at risk for heart attack and stroke. |
| Caregivers | 0.350391 |
| Office | 0.344048 |
| hypertension control tip | 0.896482 |
| Health lists | 0.588836 |
| Blood pressure control | 0.777172 |
| team-based care | 0.610747 |
| Drug Administration | 0.578333 |
| booklet | 0.445127 |
| individuals | 0.341672 |
| conversations | 0.360778 |
| ABCS | 0.377743 |
| health outcomes | 0.645241 |
| Smoking cessation | 0.576937 |
| health disparities | 0.613316 |
| sample questions | 0.593433 |
| communication | 0.349815 |
| Food | 0.344181 |
| Medication adherence | 0.634895 |
| family members | 0.558137 |
|
| Women | 0.343995 |
| Community health workers | 0.800966 |
| chronic diseases | 0.566158 |
| easy-to-understand fact sheet | 0.812724 |
| patients | 0.504867 |
| warnings | 0.356267 |
| checklist | 0.353368 |
| medicine | 0.343862 |
| important role | 0.554196 |
| English | 0.340353 |
| key role | 0.561612 |
| effects | 0.343596 |
| successful hypertension control | 0.976914 |
| high blood pressure | 0.801506 |
| information | 0.343436 |
| time | 0.34964 |
| visit | 0.347239 |
| Cholesterol management | 0.576739 |
|
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