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Centers for Disease Control and Prevention |
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QuickStats: Percentage of Adults Aged ≥18 Years with Hypertension Reporting Treatment* and Control† of Their Condition,§ by Race/Ethnicity — United States, National Health and Nutrition Examination Survey, 2011–2012 |
* Currently taking medication to lower blood pressure, based on affirmative responses to the following questions: "Because of your high blood pressure/hypertension, have you ever been told to take prescribed medicine?" and "Are you now following this advice to take prescribed medicine?" among those with hypertension. |
| mmwrq@cdc.gov. | 0.591242 |
| endorsement | 0.537136 |
| controlled hypertension | 0.743519 |
| Alternate Text | 0.577917 |
| Human Services | 0.652417 |
| assistive technology | 0.594531 |
| systolic blood pressure | 0.789653 |
| U.S. Department | 0.648902 |
| MMWR HTML versions | 0.636471 |
| Sarah Yoon | 0.582183 |
| diastolic blood pressure | 0.789214 |
| electronic PDF version | 0.633627 |
| e-mail | 0.532282 |
| blood pressure | 0.971274 |
| Contact GPO | 0.587059 |
| commercial sources | 0.578256 |
| mm Hg | 0.804469 |
| Steven M. Frenk | 0.653709 |
| PhD | 0.523006 |
| current prices | 0.575287 |
| different race | 0.65885 |
| affirmative responses | 0.587577 |
| original paper copy | 0.635746 |
| difference | 0.528751 |
|
| United States | 0.5811 |
| original MMWR paper | 0.634216 |
| lower blood pressure | 0.804855 |
| MMWR readers | 0.578206 |
| character translation | 0.574952 |
| Tatiana Nwankwo | 0.584451 |
| Persons | 0.515913 |
| Hispanic ethnicity groups | 0.797201 |
| format errors | 0.57321 |
| Non-Hispanic Asian adults | 0.8582 |
| following questions | 0.583718 |
| subject line | 0.593016 |
| Health | 0.526815 |
| typeset documents | 0.576525 |
| trade names | 0.578303 |
| high blood pressure/hypertension | 0.675712 |
| medication | 0.63065 |
| medicine | 0.526483 |
| official text | 0.572856 |
| non-CDC sites | 0.576192 |
| confidence interval | 0.58734 |
| information | 0.515881 |
| electronic conversions | 0.572201 |
| hypertension | 0.820363 |
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Centers for Disease Control and Prevention |
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CDC Knowledge to Action Science Clips |
Science Clips |
| Local health authorities | 0.59094 |
| HIV care service | 0.577797 |
| data | 0.614586 |
| emergency department visits | 0.675148 |
| diagnosed HIV infection | 0.580847 |
| inflammatory disease emergency | 0.577256 |
| training programs | 0.619363 |
| children | 0.590831 |
| HIV care continuum | 0.57649 |
| intensive care unit | 0.57559 |
| results | 0.602955 |
| patients | 0.576176 |
| HIV medical care | 0.58871 |
| HIV treatment failure | 0.576666 |
| human parainfluenza virus-1 | 0.598997 |
| emergency response personnel | 0.600339 |
| human parainfluenza virus-4 | 0.576614 |
| human parainfluenza virus-3 | 0.576654 |
| health survey data | 0.584912 |
| total percent change | 0.650815 |
| human immunodeficiency virus | 0.696418 |
| P&S syphilis | 0.588407 |
| health support services | 0.575551 |
| human parainfluenza virus | 0.616931 |
|
| drug resistance | 0.582863 |
| women | 0.595455 |
| Ebola virus disease | 0.594897 |
| treatment | 0.588593 |
| pertussis-positive infants | 0.582492 |
| United States | 0.822497 |
| annual percent change | 0.653347 |
| ED visits | 0.623252 |
| National HIV Surveillance | 0.574502 |
| white non-Hispanic MSM | 0.590558 |
| P&S syphilis diagnosis | 0.587296 |
| public health professionals | 0.584779 |
| public health | 0.622602 |
| human parainfluenza | 0.670524 |
| ACSC ED visits | 0.590244 |
| inflammatory disease diagnoses | 0.577184 |
| pelvic inflammatory disease | 0.907889 |
| inflammatory disease diagnosis | 0.596484 |
| HIV surveillance data | 0.588486 |
| non-US born residents | 0.616211 |
| rectal ct | 0.588077 |
| HIV infection | 0.704845 |
| annual HIV incidence | 0.585483 |
| HIV care services | 0.578849 |
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Centers for Disease Control and Prevention |
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Putting physical activity where it fits in the school day: preliminary results of the ABC (Activity Bursts in the Classroom) for Fitness Program |
null |
| Physical activity levels | 0.50158 |
| attention-deficit hyperactivity disorder | 0.486488 |
| study | 0.527367 |
| elementary school students | 0.505265 |
| school health services | 0.472002 |
| communication arts | 0.475719 |
| classroom-based physical activity | 0.530157 |
| classroom behavior | 0.569012 |
| students | 0.564345 |
| physical fitness measures | 0.533089 |
| control group | 0.663335 |
| physical activity program | 0.586912 |
| Activity Bursts | 0.568932 |
| Prevention Research Center | 0.480809 |
| health outcomes | 0.487814 |
| Independence School District | 0.536834 |
| in-school physical activity | 0.491268 |
| intervention group | 0.586374 |
| abdominal strength | 0.50329 |
| elementary school classroom | 0.483558 |
| school | 0.588758 |
| children | 0.492599 |
| light aerobic activity | 0.477272 |
|
| physical fitness | 0.575546 |
| teaching time | 0.489455 |
| daily physical activity | 0.634396 |
| physical activity programs | 0.530138 |
| upper-body strength | 0.53215 |
| average fitness levels | 0.501667 |
| structured activity bursts | 0.477875 |
| aerobic capacity | 0.482357 |
| structured physical activity | 0.490506 |
| Missouri Physical Fitness | 0.487561 |
| basic activity bursts | 0.490839 |
| Childhood physical activity | 0.488107 |
| physical education teachers | 0.476588 |
| core activity | 0.473198 |
| physical activity | 0.982088 |
| schools | 0.4782 |
| isd progress report | 0.525992 |
| anthropometric measures | 0.480839 |
| Fitness program | 0.516728 |
| School Physical Activity | 0.516392 |
| academic performance | 0.691961 |
| physical education programs | 0.511061 |
| physical activity measures | 0.536646 |
|
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Centers for Disease Control and Prevention |
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Children with special health care needs: acknowledging the dilemma of difference in policy responses to obesity. |
null |
| special obesity prevention | 0.521759 |
| perspective view obesity | 0.424022 |
| policy responses | 0.409143 |
| health care attention | 0.367559 |
| Child Health Bureau | 0.379554 |
| Health Care Needs | 0.384908 |
| health policy deliberations | 0.382213 |
| children’s access | 0.377599 |
| children | 0.943329 |
| federal government | 0.377084 |
| obesity prevention | 0.626279 |
| obesity prevention activities | 0.445682 |
| Health care providers | 0.36988 |
| policy history | 0.38555 |
| Handicapped Children | 0.373859 |
| school-based obesity prevention | 0.420285 |
| relatively good health | 0.376798 |
| SHCN | 0.750523 |
| different health consequences | 0.372363 |
| obesity prevention initiatives | 0.515951 |
| stewardship model | 0.420576 |
| quality health services | 0.452121 |
| special health care | 0.457589 |
| Children’s Health | 0.405998 |
| routine preventive health | 0.388996 |
|
| obesity prevention approaches | 0.420256 |
| weight gain | 0.388285 |
| policies | 0.366888 |
| general population | 0.372683 |
| higher obesity prevalence | 0.42541 |
| Obesity estimates | 0.4037 |
| obesity policy initiatives | 0.442575 |
| health services | 0.453431 |
| children’s weights | 0.374921 |
| health care | 0.467776 |
| special needs | 0.425557 |
| preventive health care | 0.392477 |
| nationally representative data | 0.378321 |
| health | 0.539757 |
| families | 0.557603 |
| obesity risk factors | 0.426122 |
| physical activity | 0.410315 |
| fewer children | 0.379405 |
| child obesity policy | 0.76506 |
| childhood obesity | 0.673013 |
| community-based initiatives | 0.382941 |
| obesity risks | 0.394765 |
| certain children | 0.389735 |
| obesity-related health risks | 0.375973 |
|
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Preventing Chronic Disease | Parents™ Perceptions of Skin Cancer Threat and Children™s Physical Activity - CDC |
The objective of this study was to explore relationships between parental perceptions of skin cancer threat, sun protection behaviors, physical activity, and body mass index (BMI) in children. |
| skin cancer risk | 0.262215 |
| skin cancer | 0.719925 |
| skin cancer prevention | 0.30393 |
| skin cancer susceptibility | 0.302582 |
| skin cancer severity | 0.266638 |
| sun protection index | 0.318705 |
| skin cancer cases | 0.261134 |
| BMI-for-age percentile | 0.288916 |
| sun protection behaviors | 0.334841 |
| Colorado Kids Sun | 0.297848 |
| physical activity data | 0.272577 |
| children | 0.302557 |
| base skin color | 0.319656 |
| melanoma skin cancer | 0.27229 |
| melanoma/nonmelanoma skin cancer | 0.258092 |
| skin cancer threat | 0.45039 |
| body mass index | 0.285523 |
| Kids Sun Care | 0.292713 |
| analysis | 0.263145 |
| parent telephone interviews | 0.254848 |
| sun protection | 0.547121 |
| Skin cancer perception | 0.258235 |
| sun safety | 0.281253 |
| parents | 0.271714 |
|
| child | 0.257539 |
| physical examinations | 0.271781 |
| study | 0.256735 |
| outdoor physical activity | 0.842833 |
| Anschutz Medical Campus | 0.289504 |
| linear regression | 0.258167 |
| NMSC severity | 0.330125 |
| outdoor physical activities | 0.278872 |
| physical activity variables | 0.264704 |
| skin cancer deaths | 0.260637 |
| total physical activity | 0.356738 |
| unit increase | 0.275062 |
| Colorado Anschutz Medical | 0.289361 |
| outdoor activities | 0.303163 |
| cancer prevention efforts | 0.260573 |
| Sun Care Program | 0.29271 |
| physical activity | 0.937853 |
| CM severity | 0.2761 |
| Health Belief Model | 0.254189 |
| physical activity change | 0.263536 |
| nonmelanoma skin cancer | 0.311453 |
| sun exposure | 0.262073 |
| linear regression analysis | 0.256632 |
| child physical examinations | 0.25614 |
|
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Media Relations - MMWR News Synopsis: December 13, 2012 |
CDC Media Relations - MMWR News Synopsis: December 13, 2012 |
| bacterial etiologies | 0.56264 |
| early warning | 0.682192 |
| laboratory personnel | 0.548221 |
| Utah Department | 0.565653 |
| epidemic-prone diseases | 0.647411 |
| strengthening.  DEWS | 0.584799 |
| humanitarian emergencies | 0.567731 |
| existing networks | 0.545436 |
| historic monsoon | 0.550041 |
| Utah Health Sciences | 0.747894 |
| Medical care | 0.566303 |
| effective medication | 0.598926 |
| accidental exposures | 0.579206 |
| prior emergencies | 0.569036 |
| World Health Organization | 0.682352 |
| warning disease surveillance | 0.738828 |
| Public Affairs | 0.576956 |
| disease burden | 0.557326 |
| surveillance results | 0.60459 |
| data quality | 0.682188 |
| Disease Early Warning | 0.680123 |
| poison control center | 0.979032 |
| lay public | 0.550795 |
| limited resources | 0.54721 |
| laboratory surveillance | 0.610798 |
|
| opioid dependence | 0.605609 |
| Japanese encephalitis | 0.556229 |
| key information | 0.54589 |
| VPD surveillance systems | 0.729165 |
| substantial reductions | 0.555637 |
| health information | 0.562384 |
| measles surveillance networks | 0.757869 |
| Electronic Media | 0.690153 |
| good reputation | 0.560405 |
| counsel buprenorphine patients | 0.789078 |
| single exposures | 0.577162 |
| specimen processing | 0.54799 |
| Utah’s Poison | 0.574597 |
| popular medication | 0.600604 |
| future emergencies | 0.57025 |
| health care providers | 0.706676 |
| local poison control | 0.692656 |
| Healthcare professionals | 0.555822 |
| adverse consequences | 0.553388 |
| recurrent challenges | 0.545218 |
| Kathy Wilets | 0.575369 |
| opioid abuse | 0.604719 |
| vast amounts | 0.547033 |
| vaccine-preventable diseases | 0.568362 |
|
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| 12715 |
Centers for Disease Control and Prevention |
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Vital Signs – High Blood Pressure |
Source: National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention
Running Time: (2:22) Release Date: 10/31/2012
In the U.S., nearly 1/3rd of the adult population have high blood pressure, the leading risk factor for heart disease and stroke - two of the nation's leading causes of death. This animated video will show you the risk factors of having high blood pressure and what you can do to control it.
https://sites.google.com/site/livewildordie/
https://www.facebook.com/groups/parks4pres/
https://www.youtube.com/user/omacron
https://twitter.com/Parks2016 |
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| High Blood Pressure | 0.83933 |
|
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Centers for Disease Control and Prevention |
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Ebola containment strategy succeeding in Liberia |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| RITE team members | 0.825184 |
| Mortality Weekly Report | 0.381556 |
| dugout canoe | 0.248363 |
| basic supplies | 0.240378 |
| outbreak investigation | 0.265407 |
| international partners | 0.239689 |
| CDC RITE team | 0.842164 |
| Disease Control | 0.239379 |
| oral rehydration solution | 0.338456 |
| later outbreaks | 0.953929 |
| personal protective equipment | 0.333158 |
| safe burial practices | 0.34282 |
| remote areas—is | 0.254069 |
| CDC Director Tom | 0.390978 |
| building temporary isolation | 0.337789 |
| rural village | 0.251474 |
| Liberian Ministry | 0.380803 |
| treatment facilities | 0.341019 |
| new data | 0.253481 |
| index case | 0.34561 |
| Rapid Isolation | 0.255928 |
| RITE strategy | 0.898592 |
| Ebola patients | 0.605179 |
| median number | 0.279399 |
| Ebola | 0.681077 |
|
| Ebola epidemic | 0.462108 |
| Ebola Treatment Units | 0.536956 |
| U.S. Centers | 0.241808 |
| Sierra Leone | 0.396682 |
| patient blood samples | 0.349383 |
| percent | 0.238889 |
| Ebola cases | 0.535994 |
| Ebola case | 0.431485 |
| Liberian Ministry researchers | 0.349638 |
| RITE teams | 0.531427 |
| laboratory-confirmed cases | 0.236433 |
| subsequent outbreaks | 0.451792 |
| Ebola confirmation | 0.413876 |
| early outbreaks | 0.929559 |
| larger proportion | 0.241372 |
| county health teams | 0.34647 |
| rural communities | 0.250738 |
| lower death rate | 0.32715 |
| central Ministry | 0.238814 |
| response-ready health teams | 0.372571 |
| median duration | 0.279905 |
| transmission patterns | 0.237256 |
| RITE kits | 0.390125 |
| median time | 0.281964 |
|
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CDC Responder: Sandra |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| Haiti | 0.335464 |
| career | 0.36263 |
| Guinea | 0.330861 |
| Sierra Leone | 0.905274 |
| pediatric nurse | 0.473731 |
| service trip | 0.459128 |
| research | 0.362232 |
| youngest citizens | 0.480692 |
| children | 0.361282 |
| presence | 0.329396 |
| group | 0.335159 |
| policy | 0.330832 |
| largest international outbreak | 0.671901 |
| agency | 0.492624 |
| Sandra Jones | 0.489961 |
| busy volunteering | 0.473785 |
| opportunity | 0.39636 |
|
| history | 0.329216 |
| 1,000th official employee | 0.68612 |
| Ebola response | 0.500288 |
| CDC’s Division | 0.523578 |
| Liberia | 0.341899 |
| School Health | 0.465784 |
| milestone | 0.34527 |
| schools | 0.330335 |
| West Africa | 0.499339 |
| Adolescent | 0.335886 |
| desk | 0.331139 |
| decades | 0.335194 |
| clinic | 0.330381 |
| employees | 0.363174 |
| year-old CDC retiree | 0.740029 |
| health promotions team | 0.613324 |
|
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What CDC is Doing | Zika virus |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Zika response | 0.322901 |
| Zika outbreak | 0.377726 |
| United States | 0.461351 |
| Public Health Emergency | 0.425265 |
| Zika-related activities | 0.264387 |
| EOC activation | 0.37299 |
| command center | 0.295965 |
| Zika virus | 0.87702 |
| areas | 0.280878 |
| Pan American Health | 0.431257 |
| Zika | 0.906005 |
| Southeast Asia | 0.279764 |
| travel health | 0.313222 |
| male residents | 0.282749 |
| Health Organization | 0.427777 |
| developmental disabilities | 0.298329 |
| CDC staff | 0.4984 |
| emergency response | 0.319367 |
| emergency funding | 0.265794 |
| World Health Organization | 0.417814 |
| key personnel | 0.268062 |
|
| CDC scientists | 0.614753 |
| President Obama | 0.434153 |
| Pacific Islands | 0.279562 |
| International Concern | 0.265192 |
| associated consequences | 0.269024 |
| Zika virus disease | 0.528901 |
| laboratory tests | 0.293745 |
| Emergency Operations Center | 0.759138 |
| efficiently exchange information | 0.474374 |
| birth defects | 0.481519 |
| reproductive health | 0.308415 |
| highest level | 0.26517 |
| CDC’s activities | 0.44432 |
| Zika experts | 0.323735 |
| Guillain-Barré syndrome | 0.457407 |
| intense action | 0.270905 |
| public health challenge | 0.411312 |
| neurological disorders | 0.266182 |
| current outbreaks | 0.33422 |
| emergency funds | 0.276384 |
| international response partners | 0.480022 |
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