| 5265 |
Centers for Disease Control and Prevention |
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Health Literacy - Key Activities in the Development of the National Action Plan to Improve Health Literacy |
Many organizations – public and private, large and small – contributed to the development of the National Action Plan. Some key activities from 1999 to 2010 brought national attention to limited health literacy as an issue, generated information and created the momentum for a plan. |
| diverse perspectives | 0.435218 |
| American Medical Association | 0.48038 |
| Health Outcomes | 0.463652 |
| evidence report | 0.439764 |
| Adult Literacy | 0.560813 |
| Human Services | 0.47675 |
| Participants | 0.412869 |
| national objectives | 0.447914 |
| U.S. Department | 0.476849 |
| promising practices | 0.439098 |
| New York City | 0.469433 |
| multiple drafts | 0.43915 |
| local organizations | 0.438631 |
| End Confusion | 0.442997 |
| public health consequences | 0.493185 |
| social services | 0.43855 |
| National Institutes | 0.445207 |
| ongoing funding announcement | 0.471436 |
| Medicine Roundtable | 0.444838 |
| U.S. Surgeon General | 0.473063 |
| 2010 identifies limited health literacy as a public health | 0.799674 |
| health literacy | 0.964589 |
| Ad Hoc Committee | 0.47996 |
| NAAL | 0.411142 |
| English-speaking adults | 0.482667 |
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| key activities | 0.446679 |
| Scientific Affairs | 0.443703 |
| Health Literacy Workgroup | 0.621298 |
| health literacy research | 0.618161 |
| national attention | 0.450881 |
| health literacy skills | 0.615742 |
| National Assessment | 0.445726 |
| town hall meetings | 0.470647 |
| limited health literacy | 0.825167 |
| Quality | 0.413685 |
| 1-day meetings | 0.439818 |
| private sector organizations | 0.469774 |
| Workshop | 0.412886 |
| Healthy People | 0.48352 |
| St. Louis | 0.437747 |
| Improving Health Literacy | 0.608012 |
| Healthcare Research | 0.479595 |
| health literacy-related objectives | 0.500669 |
| Agency | 0.413702 |
| health literate society | 0.488523 |
| improvement | 0.41281 |
| Surgeon General | 0.477183 |
| issues Health Literacy | 0.625642 |
| information needs | 0.437859 |
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| 6762 |
Centers for Disease Control and Prevention |
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Global Health - South Africa - Epidemiology and Laboratory Training |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
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| non-communicable diseases | 0.581569 |
| Support epidemiology career | 0.607408 |
| Public Health degree | 0.621566 |
| oral presentations | 0.590834 |
| public health surveillance | 0.690269 |
| disease control | 0.64248 |
| Africa Field Epidemiology | 0.64232 |
| Health Laboratory Services | 0.609288 |
| National Health Laboratory | 0.656194 |
| Health Program | 0.590398 |
| South Africa Global | 0.61461 |
| Epidemic Intelligence Service | 0.642604 |
| field epidemiology | 0.788056 |
| national priority health | 0.609125 |
| applied/field epidemiology experience | 0.600058 |
| South Africa | 0.936186 |
| global health security | 0.677273 |
| CDC Epidemic Intelligence | 0.57961 |
| epidemiology short courses | 0.608342 |
| Epidemiology Training Programs | 0.637733 |
| public health staff | 0.669434 |
| Emerging Infections Program | 0.58011 |
| public health workforce | 0.628482 |
| outbreak investigations | 0.656282 |
| program funding support | 0.582063 |
|
| Disease Detection Centre | 0.577112 |
| National Public Health | 0.626555 |
| health information systems | 0.60973 |
| public health threats | 0.625508 |
| field epidemiology training | 0.786925 |
| public health professionals | 0.683392 |
| Public Health Network | 0.613346 |
| Dr. Tom Frieden | 0.577106 |
| public health | 0.963867 |
| Global Health Protection | 0.613097 |
| Public Health Association | 0.615041 |
| academic field placement | 0.578 |
| Global AIDS Program | 0.595606 |
| practical public health | 0.626792 |
| hypothesis-driven epidemiology research | 0.608824 |
| 2-year residency program | 0.582404 |
| South African government | 0.587333 |
| health surveillance evaluation | 0.612919 |
| African Field Epidemiology | 0.612726 |
| South Africa National | 0.611607 |
| poster presentations | 0.590851 |
| 2-year training program | 0.59844 |
| National Department | 0.577125 |
| South African National | 0.605708 |
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| 7165 |
Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0136 |
The existence of racial/ethnic disparities among active-duty Air Force members, despite equal access to free health care, indicates that premilitary health risks continue after enlistment. |
| health care practices | 0.325826 |
| active-duty members | 0.359615 |
| higher prevalence | 0.440221 |
| lower prevalence | 0.412944 |
| lowest prevalence | 0.299113 |
| clinically significant disparities | 0.284086 |
| members | 0.393922 |
| non-Hispanic white counterparts | 0.361975 |
| administrative data | 0.328569 |
| multivariate logistic regression | 0.270197 |
| asthma | 0.280484 |
| hypertension prevalence | 0.340152 |
| non-Hispanic black members | 0.375151 |
| significantly lower prevalence | 0.349774 |
| chronic disease prevalence | 0.40717 |
| significantly higher prevalence | 0.343989 |
| racial/ethnic disparities | 0.362618 |
| highest prevalence | 0.295711 |
| age range | 0.289432 |
| non-Hispanic blacks | 0.887762 |
| USAF Clinical Informatics | 0.280557 |
| dyslipidemia | 0.290531 |
| Air Force | 0.423019 |
| overall prevalence | 0.579866 |
| active-duty member | 0.277667 |
|
| NHANES IV workforce | 0.283246 |
| prevalence | 0.672224 |
| active-duty USAF members | 0.32459 |
| Indian/Alaska Native members | 0.285394 |
| health care | 0.865249 |
| lowest overall prevalence | 0.344468 |
| workforce study | 0.283027 |
| preventive health care | 0.326645 |
| chronic diseases | 0.772822 |
| free health care | 0.328378 |
| active duty | 0.282911 |
| minority racial/ethnic group | 0.263953 |
| ethnic disparities | 0.373241 |
| comprehensive health care | 0.265224 |
| preventive health assessment | 0.363348 |
| consistent racial/ethnic disparities | 0.310255 |
| American Indian/Alaska Native | 0.460544 |
| health care access | 0.268034 |
| racial/ethnic health disparities | 0.328317 |
| logistic regression models | 0.272309 |
| non-Hispanic whites | 0.930795 |
| diabetes | 0.354567 |
| High Blood Pressure | 0.263672 |
| health disparities | 0.434979 |
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| 7294 |
Centers for Disease Control and Prevention |
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Update to CDC's Sexually Transmitted Diseases Treatment Guidelines, 2010: Oral Cephalosporins No Longer a Recommended Treatment for Gonococcal Infections |
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. |
| CDC | 0.450419 |
| twice daily orally | 0.257599 |
| control gonorrhea | 0.2901 |
| treatment guidelines | 0.253403 |
| gonorrhoeae antimicrobial susceptibility | 0.379892 |
| Robert D. Kirkcaldy | 0.26873 |
| cefixime susceptibility | 0.284879 |
| single intramuscular dose | 0.320811 |
| antimicrobial resistance | 0.427535 |
| combination therapy | 0.359358 |
| mg | 0.283884 |
| NAAT-based antimicrobial susceptibility | 0.333284 |
| uncomplicated gonorrhea | 0.426708 |
| combination antimicrobial therapy | 0.270448 |
| Gonorrhea treatment | 0.385533 |
| phenotypic antimicrobial susceptibility | 0.419407 |
| U.S. gonorrhea control | 0.391161 |
| sexually transmitted diseases | 0.297135 |
| azithromycin resistance criteria | 0.323073 |
| elevated cefixime MICs | 0.560635 |
| reliably effective treatment | 0.273412 |
| CDC STD treatment | 0.310771 |
| single dose | 0.415448 |
| treatment | 0.532764 |
| uncomplicated gonorrhea infection | 0.377998 |
|
| United States | 0.936351 |
| gonorrhea | 0.655809 |
| elevated ceftriaxone MICs | 0.309503 |
| fluoroquinolone-resistant N. gonorrhoeae | 0.33663 |
| rectal gonorrhea | 0.294128 |
| treatment following treatment | 0.279737 |
| gonorrhea diagnosis | 0.289891 |
| lowest antimicrobial concentration | 0.276991 |
| treatment failure | 0.265487 |
| state health department | 0.291183 |
| ceftriaxone MICs | 0.318136 |
| urogenital gonorrhea | 0.307781 |
| significant gonococcal resistance | 0.266294 |
| antimicrobial susceptibility testing | 0.739211 |
| gonorrhea prevention | 0.292233 |
| N. gonorrhoeae | 0.58619 |
| azithromycin susceptibility | 0.307936 |
| pharyngeal gonorrhea | 0.360411 |
| elevated MICs | 0.287559 |
| gonococcal susceptibility | 0.259343 |
| antimicrobial resistance trends | 0.294999 |
| antimicrobial susceptibility trends | 0.35002 |
| Ñ?ЛП
Gonorrhea | 0.336311 |
| gonococcal resistance | 0.32608 |
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| 7548 |
Centers for Disease Control and Prevention |
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ADHD - Data and Statistics |
ADHD is one of the most common neurobehavioral disorders of childhood. It is usually first diagnosed in childhood and often lasts into adulthood. Children with ADHD have trouble paying attention, controlling impulsive behaviors (may act without thinking about what the result will be), and in some cases, are overly active. |
| similar-aged children | 0.24646 |
| CDC | 0.221323 |
| American Academy | 0.245129 |
| single ADHD treatment | 0.348729 |
| commercial employer | 0.241009 |
| children | 0.538483 |
| year-old children | 0.246883 |
| young children | 0.34845 |
| Attention-Deficit/Hyperactivity Disorder | 0.255136 |
| state | 0.261127 |
| parent report | 0.509751 |
| medication treatment | 0.287863 |
| Read article | 0.271632 |
| text version | 0.244724 |
| treatment patterns | 0.289716 |
| parent surveys | 0.259495 |
| ADHD diagnosis | 0.389694 |
| behavioral treatment | 0.241704 |
| special health care | 0.351765 |
| page | 0.210589 |
| Read key findings | 0.94638 |
| higher rates | 0.248768 |
| health care needs | 0.273636 |
| ADHD | 0.720711 |
|
| American Psychiatric Association | 0.292054 |
| United States | 0.246325 |
| behavior therapy | 0.34824 |
| mental health counseling | 0.277215 |
| children ages | 0.278664 |
| ADHD treatment | 0.385397 |
| ADHD rates | 0.321426 |
| percent | 0.261974 |
| ADHD medication | 0.361225 |
| current ADHD | 0.375761 |
| good options | 0.247142 |
| treatment approach | 0.244044 |
| healthcare claims data | 0.34238 |
| Nevada | 0.219755 |
| single source | 0.244352 |
| clinical care | 0.23921 |
| detailed findings | 0.263227 |
| Statistical Manual | 0.252748 |
| psychological services | 0.24103 |
| community samples | 0.25239 |
| comprehensive data | 0.243626 |
| different studies | 0.251414 |
| Mental Disorders | 0.250363 |
| information | 0.267946 |
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| 8495 |
Centers for Disease Control and Prevention |
Html |
en |
Bill's Videos - Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Commercials and extended videos featuring Bill, who quit smoking after it made his diabetes harder to control, resulting in partial blindness, kidney failure, and leg amputation. Videos from the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| kidney failure | 0.933643 |
| videos | 0.369192 |
| smokers | 0.372851 |
| left eye | 0.595959 |
| life | 0.35999 |
| leg | 0.670399 |
| poor circulation | 0.597835 |
| heart disease | 0.583414 |
| smoking | 0.772604 |
| sight | 0.362074 |
| teenager | 0.369697 |
| kidney function | 0.581733 |
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| TV spot | 0.594433 |
| blindness | 0.370959 |
| commercials | 0.373154 |
| makes | 0.368387 |
| hard way | 0.626293 |
| Cigarette smoking | 0.726975 |
| list | 0.363078 |
| doctor | 0.358605 |
| health problems | 0.572755 |
| emotional video | 0.557468 |
| diabetes | 0.651256 |
| age | 0.42712 |
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| 12685 |
Centers for Disease Control and Prevention |
Video |
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Blood Sugar & Fears |
More than 20 million people in the United States suffer from type 2 diabetes and tens of millions more are at risk. The BLOOD SUGAR & FEARS video offers simple steps that can prevent or delay type 2 diabetes, such as choosing healthier foods, increasing physical activity and losing 5 to 7 percent of body weight.
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://wwwcdc.gov/cdctv/BloodSugarFears |
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Centers for Disease Control and Prevention |
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PCOS and Diabetes, Heart Disease, Stroke... | Diabetes |
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| cause PCOS | 0.710567 |
| health care provider | 0.590819 |
| menstrual period | 0.465141 |
| exact causes | 0.46876 |
| type | 0.424627 |
| PCOS Fact | 0.673549 |
| egg-producing organs | 0.468627 |
| big impact | 0.467231 |
| female reproductive organs | 0.514428 |
| male hormones | 0.470974 |
| normal weight | 0.465426 |
| insulin resistance—appear | 0.511716 |
| excess acne | 0.47414 |
| troubling | 0.415545 |
| PCOS diagnosis | 0.679388 |
| symptoms | 0.440973 |
| PCOS | 0.978788 |
| health problems | 0.468787 |
| medical conditions | 0.465781 |
| scalp hair | 0.470817 |
| lifelong health condition | 0.513286 |
| irregular periods | 0.47467 |
| women | 0.650216 |
| woman | 0.428047 |
| ovaries | 0.425377 |
|
| irregular monthly periods | 0.629419 |
| weight gain | 0.463276 |
| polycystic ovary syndrome | 0.545516 |
| PCOS complications | 0.674011 |
| lifestyle changes | 0.520182 |
| heart disease | 0.46237 |
| trouble | 0.428227 |
| skin doctor | 0.463972 |
| hair growth | 0.641022 |
| CDC Diabetes | 0.466616 |
| family doctor | 0.461256 |
| insulin resistance | 0.65713 |
| common cause | 0.469959 |
| reproductive age | 0.472028 |
| Reproductive Health Concerns | 0.505321 |
| excess hair growth | 0.527954 |
| families | 0.426335 |
| physical activity | 0.52693 |
| Excess insulin | 0.517743 |
| overweight women | 0.504246 |
| female infertility | 0.470173 |
| high insulin levels | 0.570727 |
| treatment options | 0.460535 |
| ovarian cysts | 0.469413 |
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| 16286 |
Centers for Disease Control and Prevention |
Html |
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FastStats - Teen Births |
null |
| race | 0.404136 |
| United States | 0.927542 |
| Final Data | 0.892858 |
| Hispanic origin | 0.860713 |
| Births | 0.701563 |
| NCHS Data Visualization | 0.761444 |
| mother | 0.63341 |
| Teen Births | 0.691928 |
| PDF | 0.440369 |
|
| mothers | 0.442542 |
| MB | 0.516265 |
| Birth rates | 0.74917 |
| live-birth order | 0.79066 |
| non-Hispanic origin | 0.914355 |
| State Trends | 0.538193 |
| age | 0.44484 |
| table | 0.440814 |
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| 16300 |
Centers for Disease Control and Prevention |
Html |
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FastStats - Health of Asian or Pacific Islander 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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