| 4824 |
Centers for Disease Control and Prevention |
Html |
en |
Anthropometric measures, presence of metabolic syndrome, and adherence to physical activity guidelines among African American church members, Dallas, Texas, 2008 |
null |
| demographic characteristics | 0.362518 |
| multinomial logistic regression | 0.343628 |
| BMI categories | 0.339098 |
| Human Services | 0.357375 |
| vigorous guidelines | 0.353191 |
| Southwestern Medical Center | 0.339981 |
| inverse relationship | 0.338129 |
| moderate physical activity | 0.402519 |
| African American population | 0.348068 |
| moderate-intensity physical activity | 0.360742 |
| elevated waist circumference | 0.359932 |
| demographic variables | 0.346831 |
| American Heart Association/National | 0.348534 |
| vigorous physical activity | 0.612045 |
| physical activity guidelines | 0.438234 |
| blood pressure | 0.358051 |
| normal weight | 0.36166 |
| waist circumference | 0.436061 |
| American church members | 0.491049 |
| body mass index | 0.40179 |
| 7-Day Physical Activity | 0.380985 |
| metabolic syndrome | 0.734747 |
| vigorous-intensity physical activity | 0.377164 |
| anthropometric measures | 0.378886 |
| Physical Activity Recall | 0.379715 |
|
| health benefits | 0.356688 |
| moderate intensity activity | 0.350501 |
| Heart Association/National Heart | 0.344806 |
| Institute diagnostic criteria | 0.34339 |
| study | 0.363185 |
| high physical activity | 0.376408 |
| African American church | 0.487911 |
| African Americans | 0.416319 |
| health promotion | 0.356014 |
| African American adults | 0.338605 |
| meeting physical activity | 0.367347 |
| moderate guidelines | 0.353493 |
| community-based participatory research | 0.341085 |
| African American women | 0.398167 |
| BMI | 0.378046 |
| participants | 0.364769 |
| current physical activity | 0.36648 |
| metabolic syndrome variables | 0.35408 |
| health | 0.369394 |
| meeting moderate guidelines | 0.348547 |
| vigorous guidelines vs | 0.348765 |
| physical activity | 0.912613 |
| moderate intensity guidelines | 0.342439 |
| metabolic health benefits | 0.347777 |
|
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| 6333 |
Centers for Disease Control and Prevention |
Html |
en |
Causal beliefs and perceptions of risk for diabetes and cardiovascular disease, the Netherlands, 2007. |
null |
| self-reported risk factor | 0.207159 |
| disease risk | 0.484318 |
| unhealthy diet | 0.222431 |
| population-based diabetes screening | 0.208609 |
| undiagnosed diabetes | 0.203395 |
| CVD risk | 0.326841 |
| physiological risk factors | 0.206915 |
| self-reported risk factors | 0.370744 |
| CVD risks | 0.235949 |
| participants | 0.242969 |
| behavioral risk factors | 0.205243 |
| risk factors | 0.819131 |
|
| personal risk factor | 0.214841 |
| people | 0.220769 |
| diabetes risk | 0.32313 |
| physical activity | 0.297031 |
| CVD | 0.671465 |
| disease causation | 0.201967 |
| family history | 0.304043 |
| causal beliefs | 0.66876 |
| risk | 0.999827 |
| personal risk factors | 0.255776 |
| risk factor information | 0.218356 |
| diabetes | 0.705306 |
|
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| 8864 |
Centers for Disease Control and Prevention |
Html |
en |
CDC partners with 104 employers for National Healthy Worksite Program | CDC Online Newsroom | Press Release |
CDC partners with 104 employers for National Healthy Worksite Program |
| Healthy Worksite Program | 0.918871 |
| Buchanan County | 0.357189 |
| CDC Director | 0.340808 |
| CDC’s National | 0.358136 |
| Tom Frieden | 0.346989 |
| productive U.S. workforce | 0.482377 |
| health risk behaviors | 0.488912 |
| Public Health Fund | 0.511446 |
| Disease Control | 0.371059 |
| small worksites | 0.337041 |
| mid-sized employers | 0.494309 |
| new initiative | 0.470935 |
| Shelby County | 0.356187 |
| workplace health programs | 0.491875 |
| wellness strategies | 0.348733 |
| employers | 0.598043 |
| effective workplace wellness | 0.470664 |
| implementation partner | 0.334092 |
| National Healthy Worksite | 0.921827 |
| M.D. M.P.H | 0.344769 |
| health care costs | 0.49971 |
| Affordable Care Act | 0.452475 |
| competitive process | 0.338944 |
| health problems | 0.388872 |
| chronic disease | 0.632594 |
|
| period. Viridian | 0.399061 |
| Kern County | 0.358352 |
| workplace health program | 0.524031 |
| Somerset County | 0.352983 |
| small employers | 0.460162 |
| Marion County | 0.354929 |
| implementation support | 0.347458 |
| Philadelphia County | 0.358564 |
| workplace wellness programs | 0.694028 |
| eat healthy foods | 0.464677 |
| heart disease | 0.354737 |
| partner Viridian Health | 0.596345 |
| Pierce County | 0.354947 |
| health promotion programs | 0.493631 |
| chronic diseases | 0.475005 |
| science-based disease prevention | 0.485465 |
| Viridian Health Management | 0.806046 |
| support physical activity | 0.435625 |
| physical inactivity | 0.337255 |
| Chronic Disease Prevention | 0.482632 |
| community selection process | 0.442379 |
| control health costs | 0.533099 |
| worker productivity | 0.346191 |
| Harris County | 0.353582 |
|
CLICK HERE |
| 10975 |
Centers for Disease Control and Prevention |
Html |
en |
Pandemic Flu Storybook: Clifton and Nellie Taliaferro |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| necessities | 0.463779 |
| streets | 0.530685 |
| bodies | 0.447416 |
| Nellie Taliaferro | 0.740875 |
| father | 0.443337 |
| Linda Palmer | 0.675595 |
| navigation Skip | 0.824664 |
| Washington | 0.489952 |
| gatherings | 0.451846 |
| children | 0.481744 |
| Storyteller | 0.460375 |
| supplier | 0.441114 |
| runner | 0.450515 |
| list Skip | 0.822619 |
|
| stories | 0.483809 |
| railroad | 0.441658 |
| influenza pandemic | 0.67284 |
| page options Skip | 0.935315 |
| Clifton | 0.524914 |
| D.C. | 0.443473 |
| paternal grandparents | 0.686436 |
| undertaker | 0.471417 |
| deliveries | 0.456385 |
| boarding house | 0.619559 |
| funeral | 0.441148 |
| household | 0.446678 |
| ones | 0.444306 |
| Location | 0.445758 |
|
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| 12583 |
Centers for Disease Control and Prevention |
Video |
en |
Rose: Three Keys to Recovery | Tips From Former Smokers |
Rose had lung cancer from smoking cigarettes, and she needed very difficult medical treatments. This video explains three keys that helped her get through treatments: family support, faith, and quitting smoking.
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://streaming.cdc.gov/vod.php?id=68424ecf2f978c46d57a4fe0c4cd41d120140925164127140 |
| Smokers | 0.915255 |
| CDC | 0.901732 |
| Keys | 0.794495 |
|
| Recovery | 0.431111 |
| YouTube | 0.85455 |
|
CLICK HERE |
| 13555 |
Centers for Disease Control and Prevention |
Video |
en |
Pharmaceutical Countermeasures for Radiation Emergencies - Prussian Blue | Video |
This video provides information on Prussian Blue. Prussian Blue is a pill that can help remove radioactive cesium and thallium from inside the body. It is only available by prescription, and should be taken under supervision of your doctor or a designated health professional. Other videos focused on pharmaceutical countermeasures for radiation emergencies can be found here: http://emergency.cdc.gov/radiation/protectiveactions.asp
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/wcms/videos/low-res/NCEH/2015/prussian_blue_922301.mp4 |
| Pharmaceutical Countermeasures | 0.796063 |
| Prussian Blue | 0.732454 |
|
| Radiation Emergencies | 0.944384 |
|
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| 14305 |
Centers for Disease Control and Prevention |
Html |
en |
Prevention | Million Hearts |
Find out how healthy lifestyle changes can prevent and control heart disease and stroke. |
| Centers | 0.255239 |
| habits | 0.271176 |
| heart attack | 0.919098 |
| United States | 0.614245 |
| Medication expense | 0.58788 |
| Access | 0.256466 |
| healthier lifestyle choices | 0.910559 |
| good news | 0.578552 |
| reduced sodium | 0.589884 |
| Disease Control | 0.520847 |
| heart disease | 0.854388 |
| major risks | 0.632327 |
| healthy lifestyle changes | 0.938586 |
| high cholesterol—do | 0.554037 |
|
| blood pressure | 0.863683 |
| smoke-free air policies | 0.860519 |
| epidemic | 0.311197 |
| stroke | 0.527857 |
| people | 0.315701 |
| stroke—such | 0.259247 |
| barriers | 0.288391 |
| high blood pressure | 0.840154 |
| high risk | 0.574664 |
| following | 0.269161 |
| affordable monitoring | 0.556969 |
| community-based strategies | 0.556559 |
| conditions | 0.313095 |
|
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| 14489 |
Centers for Disease Control and Prevention |
Html |
null |
Áreas con zika | El virus del Zika | CDC |
Países y territorios con transmisión activa del virus del Zika... |
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| 15872 |
Centers for Disease Control and Prevention |
Html |
null |
CDC Wins Hermes Gold Award for Mobile Game Targeting Health Disparate Populations |
CDC Wins Hermes Gold Award for Mobile Game Targeting Health Disparate Populations - CDC
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| 15911 |
Centers for Disease Control and Prevention |
Html |
en |
Local Mosquito-Borne Transmission of Zika Virus - Miami-Dadeand Broward Counties, Florida, June-August 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| positive Zika IgM | 0.348946 |
| Zika case investigations | 0.3433 |
| mosquito-borne Zika virus | 0.37587 |
| square-mile area | 0.360151 |
| Zika virus outbreaks | 0.386058 |
| patient visits | 0.343005 |
| Zika virus | 0.902825 |
| recent Zika virus | 0.445804 |
| probable Zika virus | 0.376445 |
| active Zika virus | 0.378061 |
| state health departments | 0.375427 |
| competent Zika virus | 0.366089 |
| reactive airway disease | 0.346447 |
| area | 0.407117 |
| Zika virus RNA | 0.366114 |
| urine specimens | 0.44548 |
| laboratory evidence | 0.357896 |
| ongoing Zika virus | 0.45679 |
| Zika virus disease | 0.436045 |
| Miami-Dade County | 0.40899 |
| Ae. aegypti | 0.444777 |
| persons | 0.369509 |
| Zika virus transmission | 0.520303 |
| Gulf Coast University | 0.370527 |
| Aedes aegypti | 0.343757 |
|
| air conditioning | 0.343121 |
| mosquito control | 0.374084 |
| affected area | 0.343881 |
| approximate 6-block area | 0.385605 |
| presumptive recent Zika | 0.347174 |
| Zika virus infection | 0.750052 |
| Florida Gulf Coast | 0.372962 |
| continental United States | 0.497 |
| local transmission | 0.391542 |
| Ae. aegypti females | 0.360989 |
| positive Zika immunoglobulin | 0.348202 |
| comprehensive mosquito control | 0.34594 |
| mosquito control strategy | 0.343067 |
| Florida Department | 0.351185 |
| aerial ultralow volume | 0.350754 |
| public health | 0.367189 |
| mosquito control efforts | 0.358119 |
| flavivirus virus infection | 0.369364 |
| virus disease cases | 0.365805 |
| local mosquito-borne transmission | 0.445884 |
| local virus transmission | 0.367732 |
| larval development sites | 0.469838 |
| Zika virus testing | 0.379695 |
| ongoing local transmission | 0.360325 |
|
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