| 661 |
Centers for Disease Control and Prevention |
Html |
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Low-Yield Cigarettes - Smoking & Tobacco Use |
Tobacco Industry and Products Fact Sheets. |
| Tobacco advertisements | 0.279122 |
| Light/Low-Yield Cigarettes | 0.389436 |
| Human Services | 0.614181 |
| Tobacco Control Act | 0.417058 |
| Drug Administration | 0.243106 |
| smokers | 0.284262 |
| low-yield cigarettes | 0.98063 |
| U.S. Department | 0.594921 |
| cigarette design changes | 0.318277 |
| Tobacco-Free Kids | 0.251547 |
| Low Tar Fact | 0.286336 |
| regular cigarettes | 0.632395 |
| Health Promotion | 0.265739 |
| smoking cigarettes | 0.60974 |
| Tobacco Harm Prevention | 0.358344 |
| ventilation holes | 0.294788 |
| National Cancer Institute | 0.491139 |
| Health Law Center | 0.427 |
| tobacco | 0.53435 |
|
| U.S. Food | 0.234963 |
| tobacco manufacturers | 0.282647 |
| Jul | 0.279687 |
| National Center | 0.245929 |
| Tobacco Control Monograph | 0.354053 |
| strong scientific evidence | 0.253847 |
| Low Machine-Measured Yields | 0.263551 |
| additive-free cigarettes | 0.406601 |
| Tobacco Smoke Causes | 0.340236 |
| standardized smoking machines | 0.408186 |
| tobacco industry | 0.276449 |
| Chronic Disease Prevention | 0.459075 |
| tobacco products | 0.457972 |
| Surgeon General | 0.265951 |
| menthol cigarettes | 0.409525 |
| smoking low-yield cigarettes | 0.767516 |
| Public Health Law | 0.435949 |
| nicotine measurements | 0.209915 |
| cigarette design | 0.437599 |
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| 677 |
Centers for Disease Control and Prevention |
Html |
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MMWRs - 2012 - Smoking & Tobacco Use |
null |
| NHIS | 0.44417 |
| email updates | 0.820684 |
| United States | 0.632534 |
| email address | 0.817669 |
| Interview Survey | 0.633529 |
| Largest U.S. Cities | 0.838934 |
| Men Aged | 0.639159 |
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| Veteran Status†—National Health | 0.827758 |
| No. | 0.916432 |
| Current Smoking* | 0.636017 |
| Tobacco | 0.506363 |
| Vol. | 0.964373 |
| QuickStats | 0.444799 |
| Age Group | 0.634524 |
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Centers for Disease Control and Prevention |
Html |
en |
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 |
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| 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 |
Html |
en |
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 |
Html |
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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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Centers for Disease Control and Prevention |
Html |
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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 |
Html |
en |
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 |
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| 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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| 9757 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Fact Sheet | CDC Media Relations |
CDC Media Relations - CDC Fact Sheet |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 13030 |
Centers for Disease Control and Prevention |
Html |
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Cardiovascular Health |
Gateway to Health Communication and Social Marketing Practice - Cardiovascular Health |
| managing conditions | 0.30398 |
| cardiovascular disease share | 0.513567 |
| physical examination | 0.296786 |
| vascular conditions | 0.313879 |
| healthy choices | 0.306644 |
| smoker | 0.247726 |
| major causes | 0.316577 |
| blood pressure | 0.717325 |
| risk factors | 0.401186 |
| alcohol abuse | 0.305059 |
| blood vessels | 0.320167 |
| cardiovascular disease. | 0.397323 |
| certain chronic conditions | 0.406008 |
| medical conditions | 0.393937 |
| healthy habits | 0.298815 |
| healthy meals | 0.299002 |
| principal causes | 0.313389 |
| heart attack | 0.393857 |
| United States | 0.319808 |
| fast food | 0.298282 |
| cholesterol level | 0.314584 |
| high levels | 0.308271 |
| cholesterol levels | 0.313402 |
| unhealthy lifestyle choices | 0.420533 |
| unhealthy behaviors | 0.339187 |
|
| alcohol consumption | 0.295332 |
| cardiovascular health | 0.477421 |
| unhealthy food daily | 0.404991 |
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| poor diet | 0.304267 |
| heart disease | 0.592133 |
| Josh | 0.328688 |
| health care | 0.304019 |
| cardiovascular disease | 0.903038 |
| cardiovascular disease death | 0.541951 |
| higher risk | 0.311182 |
| cardiovascular disease increases | 0.510521 |
| love affair | 0.301639 |
| stroke | 0.304577 |
| people | 0.279287 |
| low-density lipoprotein | 0.327128 |
| doctor | 0.257794 |
| bad cholesterol | 0.321124 |
| lifestyle factors | 0.314372 |
| high blood pressure | 0.712686 |
| family history | 0.308587 |
| common cardiovascular diseases | 0.534288 |
| common environments | 0.305422 |
| diabetes | 0.238463 |
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| 16130 |
Centers for Disease Control and Prevention |
Html |
en |
PCOS and Diabetes, Heart Disease, Stroke... | Diabetes |
null |
| cause PCOS | 0.710567 |
| health care provider | 0.590819 |
| menstrual period | 0.465141 |
| exact causes | 0.46876 |
| type | 0.424627 |
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| 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 |
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| 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 |
|
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| 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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