| 797 |
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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| 905 |
Centers for Disease Control and Prevention |
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CDC - Features -Birth Defects Findings - NCBDDD |
The journal Pediatrics has published a new CDC article: "Maternal Smoking and Congenital Heart Defects in the Baltimore-Washington Infant Study". You can read the abstract of the article here. Following is a summary of the findings from this article. |
| common type | 0.436558 |
| Gilboa SM | 0.433942 |
| great arteries | 0.436619 |
| National Birth Defects | 0.595384 |
| tract obstruction defects | 0.549805 |
| Correa A. | 0.467157 |
| Disease Control | 0.433002 |
| case-control study | 0.443085 |
| previous studies | 0.467572 |
| journal Pediatrics | 0.438847 |
| Mattison D. Contribution | 0.460022 |
| infant death2 | 0.444857 |
| Alverson CJ | 0.434211 |
| congenital heart defect | 0.576017 |
| health problems | 0.435234 |
| Defects Prevention Study | 0.594384 |
| prevention strategies | 0.435511 |
| prevention opportunities | 0.436473 |
| largest population-based effort | 0.468559 |
| right ventricular outflow | 0.468295 |
| congenital heart defects | 0.986145 |
| Mahle WT | 0.432221 |
| best ways | 0.434424 |
| disease tracking | 0.432336 |
| atrial septal defects | 0.552298 |
|
| United States | 0.50228 |
| Reller MD | 0.433749 |
| maternal cigarette smoking | 0.669479 |
| Correa A. Prevalence | 0.460813 |
| technical assistance | 0.431958 |
| modest risk factor | 0.524709 |
| Maternal Smoking | 0.501088 |
| free help | 0.435606 |
| certain heart defects | 0.608089 |
| Davidoff MJ | 0.437945 |
| public health | 0.462543 |
| Congenital Heart Public | 0.510199 |
| lifelong disability | 0.437813 |
| study regions | 0.436303 |
| important risk factors | 0.459683 |
| Population-based means | 0.440713 |
| Baltimore-Washington Infant Study | 0.603952 |
| birth defects | 0.643253 |
| Birth Defects Prevention | 0.593945 |
| comprehensive public health | 0.461472 |
| new CDC article | 0.478589 |
| low birthweight | 0.436961 |
| important clues | 0.432236 |
| Strickland MJ | 0.46834 |
|
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Centers for Disease Control and Prevention |
Html |
en |
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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| 4659 |
Centers for Disease Control and Prevention |
Html |
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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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| 7900 |
Centers for Disease Control and Prevention |
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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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| 9035 |
Centers for Disease Control and Prevention |
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HIV and Syphilis Infection Among Men Who Have Sex with Men -Bangkok, Thailand, 2005-2011 |
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. |
| new HIV infections | 0.607965 |
| syphilis infection | 0.521913 |
| Cross AIDS Research | 0.528002 |
| sexually transmitted infection | 0.490044 |
| HIV ART | 0.602599 |
| PY | 0.515864 |
| HIV prevention | 0.662775 |
| Bangkok MSM | 0.57236 |
| acute HIV infection | 0.740669 |
| HIV status | 0.597984 |
| Bangkok metropolitan area | 0.479343 |
| unprotected anal intercourse | 0.505225 |
| nucleic-acid amplification testing | 0.585618 |
| Public Health–U.S | 0.469414 |
| Bangkok MSM community | 0.559981 |
| positive HIV | 0.596257 |
| Silom Community Clinic | 0.470691 |
| HIV prevention methods | 0.632185 |
| AIDS Research Center | 0.526988 |
| STI testing center | 0.499004 |
| previous HIV testing | 0.636724 |
| human immunodeficiency virus | 0.522776 |
| MSM population | 0.513851 |
| higher HIV incidence | 0.641773 |
| HIV-positive SCC attendees | 0.494969 |
|
| HIV antibody-negative persons | 0.628192 |
| syphilis incidence | 0.565141 |
| syphilis testing | 0.54323 |
| syphilis test | 0.507365 |
| HIV prevalence | 0.77816 |
| MSM community | 0.579522 |
| Red Cross AIDS | 0.529015 |
| MSM entertainment venues | 0.558842 |
| STI testing services | 0.493365 |
| HIV transmission | 0.642654 |
| annual prevalence | 0.471819 |
| HIV voluntary counseling | 0.628404 |
| HIV incidence | 0.66607 |
| Reactive nucleic-acid amplification | 0.469128 |
| MSM | 0.678529 |
| STI testing | 0.516705 |
| SCC MSM clients | 0.609754 |
| heterosexual human immunodeficiency | 0.472031 |
| HIV | 0.943628 |
| HIV prevention interventions | 0.604334 |
| uniform syphilis incidence | 0.558074 |
| HIV testing | 0.662539 |
| central Bangkok hospital | 0.482017 |
| previous HIV test | 0.611153 |
|
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Centers for Disease Control and Prevention |
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Flu Vaccine Saved 40,000 Lives During 9 Year Period |
CDC Study: Flu Vaccine Saved 40,000 Lives During 9 Year Period - CDC |
| United States range | 0.339149 |
| study | 0.260271 |
| modest estimated vaccine | 0.418644 |
| United States | 0.38059 |
| flu-associated deaths | 0.915464 |
| flu complications | 0.37075 |
| flu vaccination coverage | 0.632187 |
| flu vaccine effectiveness | 0.636524 |
| young children | 0.228901 |
| statistical modeling | 0.219506 |
| flu vaccination | 0.742723 |
| influenza illness | 0.220803 |
| estimates | 0.261878 |
| specific estimates | 0.247602 |
| new study | 0.245126 |
| seasonal flu vaccine | 0.757896 |
| coverage estimates | 0.242691 |
|
| H1N1 virus circulation | 0.317711 |
| Vaccine journal | 0.282094 |
| journal Vaccine | 0.32177 |
| fewest deaths | 0.383844 |
| flu-associated hospitalization rates | 0.340828 |
| seasonal viruses | 0.225775 |
| summary seasonal flu | 0.448199 |
| Study authors | 0.220549 |
| seasonal flu-associated deaths | 0.518949 |
| 2009 pandemic | 0.237436 |
| high risk | 0.23172 |
| 2012-2013 season | 0.331203 |
| flu season | 0.359582 |
| Flu activity | 0.350806 |
| monovalent pandemic vaccine | 0.406379 |
| older people | 0.227662 |
| flu-associated excess deaths | 0.458684 |
|
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Centers for Disease Control and Prevention |
Html |
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Tdap Vaccine for Preteens and Teens Fact Sheet for Parents | CDC |
Tdap Vaccine for Preteens, Teens, and Adolescents |
| jaw muscle | 0.37857 |
| American Academy | 0.481597 |
| bacteria | 0.307041 |
| Tdap vaccine | 0.642383 |
| Tdap shot | 0.734394 |
| body | 0.304118 |
| tetanus | 0.71454 |
| Alaska Native | 0.361763 |
| coughing | 0.290154 |
| Disease Control | 0.367638 |
| booster shot | 0.488132 |
| Family Physicians | 0.362428 |
| mild side effects | 0.360616 |
| prevention | 0.309974 |
| heart failure | 0.374607 |
| DTaP shots | 0.558197 |
| Diphtheria website | 0.429028 |
| tetanus-diphtheria-acelluar pertussis | 0.484928 |
| program provides | 0.357945 |
| Adolescent Health | 0.364648 |
| Printer friendly version | 0.558008 |
| older brothers | 0.364098 |
| person | 0.281813 |
| puncture wounds | 0.395425 |
|
| vacuna Tdap para | 0.586101 |
| breathing problems | 0.379905 |
| tetanus dies | 0.511933 |
| little kids | 0.56996 |
| painful muscle cramps | 0.535822 |
| Tdap vaccine information | 0.562189 |
| vaccines | 0.349254 |
| scratches | 0.284353 |
| teens | 0.344968 |
| babies | 0.302263 |
| Tdap vaccine recommendations | 0.562494 |
| sneezing | 0.294532 |
| search box | 0.360855 |
| diphtheria | 0.498601 |
| preteens | 0.500251 |
| intensive care | 0.376376 |
| complications | 0.281094 |
| Tetanus website | 0.476721 |
| teen | 0.347007 |
| people | 0.304965 |
| whooping cough | 0.976914 |
| VFC program | 0.352846 |
| bad cough | 0.471069 |
| preteen | 0.352134 |
|
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Centers for Disease Control and Prevention |
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Women & Their Partners Who are Thinking about Pregnancy |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| potential Zika exposures | 0.546261 |
| CDC | 0.401892 |
| Zika infection | 0.476243 |
| infected mosquitoes | 0.461965 |
| Check | 0.325924 |
| Zika risk | 0.452465 |
| areas | 0.37563 |
| ongoing exposure | 0.423064 |
| preconception counseling | 0.422193 |
| pregnant woman | 0.4534 |
| talk | 0.370694 |
| male partner | 0.437293 |
| travel website | 0.435043 |
| area | 0.397516 |
| circumstances | 0.323864 |
| timeframes | 0.377618 |
| test | 0.323358 |
| pregnancy | 0.60549 |
| body fluids | 0.42899 |
| steps | 0.392598 |
| reproductive life plans | 0.512063 |
| symptoms | 0.352193 |
| possible health effects | 0.525373 |
| fetus | 0.333109 |
| women | 0.448415 |
|
| condom | 0.330554 |
| potential exposures | 0.42815 |
| healthcare providers | 0.421167 |
| specific recommendations | 0.431638 |
| pregnancy intentions | 0.425617 |
| condoms | 0.402606 |
| pregnancy planning | 0.490641 |
| precautions | 0.32698 |
| Zika virus infection | 0.671219 |
| female partner | 0.435847 |
| Zika | 0.984255 |
| ways | 0.323552 |
| birth defect | 0.452351 |
| Zika travel page | 0.559309 |
| Zika The couple | 0.611516 |
| sexual transmission | 0.434896 |
| bites | 0.358792 |
| doctor | 0.372127 |
| vaccine | 0.327366 |
| healthcare provider | 0.815723 |
| partners | 0.448604 |
| baby | 0.323569 |
| risk | 0.511804 |
| pregnancy plans | 0.432892 |
|
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FastStats - Health of Hispanic or Latino Population |
null |
| Summary Health Statistics | 0.816942 |
| Infant Mortality | 0.372285 |
| United States | 0.964808 |
| Final Data | 0.584436 |
| Health Statistics Tables | 0.816699 |
| National Health Interview | 0.814759 |
| Source | 0.7098 |
| poor health | 0.385671 |
| Number | 0.292161 |
| MB | 0.577765 |
| men | 0.340422 |
| KB | 0.297433 |
| deaths | 0.429486 |
| obesity | 0.286041 |
|
| health insurance coverage | 0.506903 |
| Percent | 0.82909 |
| Infant deaths | 0.394524 |
| Table P-11c | 0.361704 |
| Health Interview Survey | 0.814516 |
| births | 0.447518 |
| persons | 0.284783 |
| live births | 0.39355 |
| high blood pressure | 0.848091 |
| cigarettes | 0.299405 |
| antihypertensive medication | 0.596536 |
| hypertension | 0.292718 |
| U.S. Population | 0.564518 |
|
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