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Centers for Disease Control and Prevention |
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50th Anniversary of the First Surgeon General's Report onSmoking and Health |
On January 17, 2014, 50 years after the first Surgeon General's report on smoking and health, the Surgeon General will release The Health Consequences of Smoking—50 Years of Progress (1). The report will be released at a White House press conference at 9:30 a.m. |
| endorsement | 0.473896 |
| smoke-free laws | 0.571045 |
| Human Services | 0.667417 |
| economic burden | 0.56957 |
| MMWR HTML versions | 0.681549 |
| U.S. Department | 0.66344 |
| product regulation | 0.556104 |
| tobacco control programs | 0.792519 |
| electronic PDF version | 0.667671 |
| Evidence-based tobacco control | 0.798143 |
| Contact GPO | 0.585293 |
| JAMA | 0.435399 |
| smoking-related premature deaths | 0.719134 |
| commercial sources | 0.55517 |
| current prices | 0.552597 |
| cessation medication | 0.561393 |
| original paper copy | 0.663198 |
| tobacco use epidemic | 0.806764 |
| conference | 0.42871 |
| White House press | 0.730381 |
| United States | 0.711999 |
| original MMWR paper | 0.675538 |
| U.S. Government Printing | 0.666829 |
| health consequences | 0.743289 |
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| Superintendent | 0.428419 |
| High-impact media campaigns | 0.70046 |
| excise taxes | 0.571146 |
| MMWR readers | 0.561788 |
| character translation | 0.546754 |
| Holford TR | 0.582558 |
| Warner KE | 0.563834 |
| tobacco use prevention | 0.658108 |
| format errors | 0.550242 |
| current status | 0.571292 |
| typeset documents | 0.556978 |
| newly documented health | 0.726942 |
| trade names | 0.555295 |
| official text | 0.544752 |
| live webcast | 0.576614 |
| Surgeon General | 0.714489 |
| non-CDC sites | 0.553517 |
| endgame | 0.433321 |
| et al | 0.553832 |
| report | 0.477452 |
| Meza | 0.446553 |
| electronic conversions | 0.545155 |
| tobacco control | 0.919269 |
| control efforts | 0.711036 |
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Centers for Disease Control and Prevention |
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Calculating reach of evidence-based weight loss and memory improvement interventions among older adults attending Arkansas senior centers, 2008-2011. |
Older adults could benefit from public health interventions that address the health conditions they face. However, translation of evidence-based interventions into the community has been slow. |
| public health interventions | 0.29835 |
| reach | 0.339934 |
| senior center | 0.334904 |
| memory arm | 0.286451 |
| program | 0.36144 |
| Introduction
Older adults | 0.321447 |
| memory intervention | 0.502305 |
| Arkansas senior centers | 0.30269 |
| senior center attendees | 0.284572 |
| lay health educators | 0.340287 |
| REACH caregiver intervention | 0.308787 |
| obese older adults | 0.309512 |
| target population penetration | 0.278364 |
| weight loss | 0.464698 |
| larger target population | 0.281685 |
| memory improvement | 0.406112 |
| behavioral weight loss | 0.333571 |
| weight loss intervention | 0.423251 |
| Medical Sciences | 0.312427 |
| programs | 0.279699 |
| Little Rock | 0.285782 |
| Older Americans Act | 0.285058 |
| study | 0.346886 |
| memory improvement programs | 0.275761 |
| memory program | 0.293099 |
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| community-dwelling older adults | 0.299662 |
| lifestyle intervention | 0.477366 |
| screening process | 0.329014 |
| potential reach | 0.287141 |
| obese senior adults | 0.282769 |
| evidence-based interventions | 0.282994 |
| senior center participants | 0.275511 |
| congregate meal program | 0.348935 |
| Memory Training Intervention | 0.31806 |
| senior centers | 0.927081 |
| public health | 0.328062 |
| weight control intervention | 0.301743 |
| body mass index | 0.277985 |
| program reach | 0.280026 |
| broader target population | 0.27697 |
| memory program participants | 0.286576 |
| target population | 0.689066 |
| older Americans | 0.382346 |
| Memory Improvement Program | 0.282649 |
| Diabetes Prevention Program | 0.314881 |
| memory improvement intervention | 0.361705 |
| older adults | 0.867383 |
| Program lifestyle intervention | 0.312817 |
| lifestyle intervention criteria | 0.327251 |
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Centers for Disease Control and Prevention |
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Child Injury - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| decade | 0.531717 |
| electronic medical records | 0.808701 |
| learn-to-swim programs | 0.6762 |
| injuries | 0.799327 |
| proper safety training | 0.806793 |
| poison control centers | 0.813873 |
| Page | 0.527696 |
| Child Injury Prevention | 0.878171 |
| number | 0.584622 |
| falls | 0.558494 |
| Lesiones infantiles | 0.66325 |
| children | 0.732834 |
| workplace injuries | 0.74852 |
| trauma center care | 0.810224 |
| Align efforts | 0.677976 |
| child safety education | 0.834911 |
| Lo | 0.532642 |
| lives | 0.529769 |
| suffocation | 0.630513 |
| Visit www.cdc.gov/safechild | 0.6739 |
| protective equipment | 0.657741 |
| good role model—wear | 0.793357 |
| prescription drug monitoring | 0.815622 |
| fires | 0.582731 |
| common ways | 0.696676 |
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| safety tips | 0.667784 |
| child injury | 0.951983 |
| problems | 0.527537 |
| partner organizations | 0.66913 |
| Car crashes | 0.895079 |
| Vital Signs | 0.660315 |
| death | 0.556933 |
| job task | 0.657561 |
| track progress | 0.665908 |
| Child injuries* | 0.724248 |
| Strengthen data collection | 0.820066 |
| poisoning | 0.578835 |
| helmet | 0.529677 |
| new parents | 0.665352 |
| severity | 0.536147 |
| que necesita saber | 0.818241 |
| pediatric visits | 0.657816 |
| safety standards | 0.672871 |
| CPR/first aid training | 0.830391 |
| seat belt | 0.652955 |
| common causes | 0.678741 |
| preventive services | 0.670356 |
| National Action Plan | 0.823836 |
| CDC Feature | 0.680098 |
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Head Injuries and Bicycle Safety - Health Communication |
Head Injuries and Bicycle Safety - Gateway to Health Communication - CDC |
| peers | 0.426697 |
| great pain | 0.528079 |
| mother | 0.450209 |
| bike helmet | 0.634733 |
| bicyclist | 0.43082 |
| children | 0.719288 |
| properly fitted helmet | 0.772346 |
| Yes. Wearing | 0.53786 |
| helmets | 0.737658 |
| sidewalk | 0.42714 |
| young daughters | 0.520519 |
| bikes | 0.448347 |
| adolescents | 0.453185 |
| kind | 0.441734 |
| stitches | 0.426084 |
| wear bicycle helmets | 0.724569 |
| Millions | 0.428553 |
| emergency department care | 0.66028 |
| older children | 0.545453 |
| prevention strategies | 0.531515 |
| tremendous guilt | 0.537556 |
| bicycles | 0.425881 |
| deal | 0.44547 |
| hearing distance | 0.521897 |
| facial scars | 0.532348 |
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| father | 0.484286 |
| head injury | 0.656104 |
| bike ride | 0.529383 |
| U.S. | 0.427951 |
| national survey | 0.549528 |
| young girl | 0.514342 |
| upstairs | 0.428451 |
| helmet | 0.90982 |
| important prevention method | 0.641012 |
| teenager | 0.426469 |
| bicycle-related injuries | 0.671809 |
| younger children | 0.547505 |
| bicyclists | 0.4306 |
| confidence | 0.425492 |
| traumatic brain injuries | 0.645551 |
| Talk | 0.425617 |
| emergency departments | 0.528405 |
| cyclists | 0.425577 |
| ten-year old boy | 0.628718 |
| ages | 0.428259 |
| risk | 0.425989 |
| time | 0.425859 |
| young salesman | 0.619488 |
| age | 0.426619 |
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Disease Detectives at Work-Detecting Salmonella | CDC Works For You 24/7 |
CDC Works For You 24/7 Protecting People - Disease Detectives at Work—Detecting Salmonella Infections from Backyard Flocks. A growing hobby of people around the country is to keep live poultry (chicks, chickens and ducks) in backyard flocks. This trend may be contributing to an ongoing increase in Salmonella outbreaks linked to these birds. In 2012, eight outbreaks of human Salmonella infections from contact with live poultry obtained from mail-order hatcheries occurred in the United States. These outbreaks resulted in 517 illnesses, 93 hospitalizations and 4 deaths. |
| Dr. Casey Barton | 0.438365 |
| CDC | 0.423895 |
| health-related educational poster | 0.433057 |
| collaborative prevention efforts | 0.429486 |
| Barton Behravesh | 0.452445 |
| day-old chicks | 0.37977 |
| local eggs | 0.374435 |
| great source | 0.37683 |
| ongoing outbreaks | 0.422413 |
| various ways | 0.373624 |
| Dr. Barton Behravesh | 0.43615 |
| Plant Health Inspection | 0.433539 |
| feed store industry | 0.450003 |
| backyard flocks | 0.730377 |
| agricultural officials | 0.379936 |
| live poultry displays | 0.513009 |
| public health officials | 0.444937 |
| multistate outbreaks | 0.424702 |
| CDC’s Division | 0.401872 |
| agriculture officials | 0.439985 |
| Environmental Diseases | 0.37577 |
| Deputy Branch Chief | 0.437792 |
| ongoing increase | 0.375742 |
| outbreaks | 0.515446 |
|
| additional outbreaks | 0.431472 |
| Outbreak Response | 0.457915 |
| raw poultry | 0.44784 |
| United States | 0.381797 |
| raw meat | 0.372085 |
| outbreak investigations | 0.377333 |
| birds | 0.385903 |
| mail-order hatchery industry | 0.465779 |
| human Salmonella infections | 0.694547 |
| Salmonella germs | 0.428387 |
| local health | 0.384204 |
| feed stores | 0.569792 |
| public health | 0.501213 |
| historically children | 0.370809 |
| CDC scientists | 0.397217 |
| environmental health officials | 0.453763 |
| simple things | 0.372763 |
| people | 0.371519 |
| agricultural feed stores | 0.441646 |
| National Poultry Improvement | 0.505719 |
| live poultry | 0.921566 |
| Prevention Branch | 0.444141 |
| Salmonella outbreaks | 0.501512 |
| mail-order hatcheries | 0.661855 |
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Prevalence and Characteristics of Sexual Violence, Stalking, and Intimate Partner Violence Victimization - National Intimate Partner and Sexual Violence Survey, United States, 2011 |
Matthew J. Breiding, PhD. |
| severe physical violence | 0.313175 |
| unwanted sexual violence | 0.263417 |
| Sexual Violence Survey | 0.292333 |
| National Intimate Partner | 0.282167 |
| case count | 0.29083 |
| non-Hispanic black women | 0.291359 |
| sexual coercion | 0.325191 |
| physical violence | 0.435809 |
| psychological aggression | 0.271002 |
| violence type | 0.261305 |
| Indian/Alaska Native women | 0.307694 |
| victims | 0.416329 |
| statistically reliable prevalence | 0.296517 |
| male perpetrators | 0.279156 |
| violence prevention | 0.261874 |
| partner violence–related impact | 0.291832 |
| female stalking victims | 0.279549 |
| sexual violence victimization | 0.277116 |
| lifetimes | 0.361936 |
| unwanted sexual contact | 0.411038 |
| non-Hispanic black men | 0.260907 |
| male victims | 0.370184 |
| survey | 0.324232 |
| women | 0.510867 |
|
| violence victimization results | 0.261447 |
| male stalking victims | 0.304429 |
| Pacific Islander | 0.261915 |
| United States | 0.274622 |
| contact sexual violence | 0.363351 |
| intimate partner | 0.991995 |
| male sexual violence | 0.277923 |
| physical violence behaviors | 0.264558 |
| rape | 0.330076 |
| public health burden | 0.278654 |
| partner violence victimization | 0.367794 |
| men | 0.464577 |
| physical violence victimization | 0.262438 |
| non-Hispanic white men | 0.287642 |
| sexual violence | 0.859553 |
| female victims | 0.334659 |
| perpetrator | 0.3155 |
| female sexual violence | 0.276946 |
| reliable prevalence estimate | 0.27593 |
| statistically reliable estimates | 0.296454 |
| non-Hispanic white women | 0.290659 |
| intimate partner violence | 0.737094 |
| American Indian/Alaska Native | 0.380579 |
| age | 0.328476 |
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Centers for Disease Control and Prevention |
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Making the Business Case for Prevention: Healthy Corner Stores (2:48) |
Providing fresh fruits and vegetables is a win-win for two corner store owners in Louisville, Kentucky and their local customers. Learn how sales of healthy items are soaring in neighborhoods where store owners chose to make healthy living easier for their customers, improving community health and increasing store profits at the same time.
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 at
http://www.cdc.gov/cdctv/HealthyCornerStores/Wmv/HealthyCornerStores.wmv |
| Prevention | 0.333701 |
| Healthy Corner Stores | 0.99192 |
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Centers for Disease Control and Prevention |
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Responding to a Concussion and Action Plan for Coaches | HEADS UP | CDC Injury Center |
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| repeat concussion | 0.203845 |
| athlete’s health | 0.21219 |
| young athlete | 0.911383 |
| medical provider | 0.301482 |
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| health care provider | 0.836743 |
| concussion | 0.576298 |
| possible concussion | 0.416383 |
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Centers for Disease Control and Prevention |
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Lisa's Videos |
The story of Lisa, a 41 year-old woman with a family history of breast cancer. |
| family members | 0.598868 |
| health professionals | 0.426829 |
| higher risk | 0.604007 |
| best health advocate | 0.574036 |
| ovarian cancer | 0.851126 |
| pre-menopausal breast | 0.444164 |
| young mother | 0.427952 |
| breast cancer | 0.597887 |
| BRCA gene mutations | 0.569994 |
| videos | 0.249693 |
| video | 0.245864 |
| cousin | 0.342613 |
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| steps | 0.245703 |
| Lisa | 0.913291 |
| genetic counseling | 0.556797 |
| management options | 0.424734 |
| aunts | 0.368859 |
| BRCA gene mutation | 0.990342 |
| family history | 0.717216 |
| aunt | 0.262543 |
| cancer risk | 0.395479 |
| tip | 0.247169 |
| information | 0.245715 |
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CDC Emergency Operations Center |
Office of Public Health Preparedness and Response |
| CDC director | 0.273441 |
| CDC Foundation | 0.286897 |
| EOC activation | 0.41128 |
| available conference rooms | 0.233051 |
| Ebola outbreak response | 0.236896 |
| specific public health | 0.282025 |
| EOC facility | 0.43093 |
| World Trade Center | 0.233762 |
| Joint Information Center | 0.226182 |
| public health threats | 0.581583 |
| risk communication strategy | 0.220684 |
| EOC | 0.776299 |
| public health emergency | 0.383763 |
| public health | 0.958822 |
| potential public health | 0.356826 |
| highly trained experts | 0.361409 |
| CDC staff | 0.265709 |
| foodborne disease outbreaks | 0.219734 |
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| field operations intelligence | 0.233712 |
| real world response | 0.229911 |
| public health emergencies | 0.272358 |
| staff monitoring information | 0.234215 |
| public health partner | 0.274444 |
| Emergency Operations | 0.241065 |
| response operations | 0.207574 |
| Public Health Preparedness | 0.356738 |
| public health events | 0.298776 |
| CDC EOC | 0.666952 |
| general public report | 0.240507 |
| potentially widespread threat | 0.224486 |
| H1N1 influenza pandemic | 0.219744 |
| CDC gather | 0.276325 |
| Haiti cholera outbreak | 0.224131 |
| public health responses | 0.26232 |
| CDC’s history | 0.265608 |
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