| 679 |
Centers for Disease Control and Prevention |
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Surgeon General's Report - Smoking & Tobacco Use |
Surgeon General's Reports on Smoking and Tobacco Use by year. |
| United States | 0.600604 |
| General’s reports | 0.572763 |
| fact sheets | 0.572021 |
| M.D. | 0.432741 |
| Access | 0.428141 |
| Luther L. Terry | 0.79072 |
| health consequences | 0.5759 |
| 50th anniversary | 0.604142 |
| consumer booklet | 0.587194 |
| Surgeon General | 0.910971 |
|
| federal government report | 0.708071 |
| Advisory Committee | 0.598641 |
| new data | 0.570536 |
| complete report | 0.567547 |
| Public Health Service | 0.755153 |
| series | 0.429387 |
| smoking | 0.527537 |
| progress | 0.431536 |
| landmark | 0.441344 |
| tobacco control | 0.586619 |
|
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| 5878 |
Centers for Disease Control and Prevention |
Html |
en |
Methyl (n-amyl) ketone - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 6985 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Swaziland |
The Center for Global Health and Prevention (CDC) began supporting Swaziland in 2004 and opened a field office there in 2007. With 26 percent of adults in the 15-49 age group HIV positive, Swaziland has the world’s highest estimated prevalence rate of HIV-infected adults. |
| at-risk populations | 0.565992 |
| field office | 0.594856 |
| CDC | 0.532741 |
| endorsement | 0.297033 |
| High-quality HIV testing | 0.849618 |
| percent | 0.280668 |
| HIV-infected adults | 0.632437 |
| Content source | 0.529233 |
| HHS | 0.304448 |
| world | 0.316607 |
| Notice | 0.268768 |
| sponsors | 0.253885 |
| Download Overview Fact | 0.826002 |
| addition | 0.264639 |
| health systems | 0.547718 |
|
| epidemic | 0.285934 |
| services | 0.254186 |
| highest estimated prevalence | 0.985813 |
| people | 0.260524 |
| TB patients | 0.646361 |
| persons | 0.255193 |
| non-federal site | 0.578399 |
| partners | 0.257725 |
| Swaziland | 0.624814 |
| sustained response | 0.582597 |
| TB incidence rate | 0.997683 |
| employees | 0.254007 |
| Sheet | 0.256411 |
| Antiretroviral treatment | 0.578932 |
|
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| 7347 |
Centers for Disease Control and Prevention |
Html |
en |
Increases in Quitline Calls and Smoking Cessation Website Visitors During a National Tobacco Education Campaign - March19-June 10, 2012 |
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. |
| paid-media tobacco education | 0.475651 |
| NCI smoking cessation | 0.577362 |
| CDC | 0.497966 |
| cessation rates | 0.494535 |
| unique visitors | 0.687254 |
| additional calls | 0.65634 |
| tobacco education media | 0.648408 |
| unique website visitors | 0.60812 |
| reach increase cessation | 0.518998 |
| tobacco control programs | 0.49638 |
| weekly calls | 0.482136 |
| SmokefreeTXT text-messaging cessation | 0.504186 |
| Internet-based cessation programs | 0.503782 |
| American Quitline Consortium | 0.50224 |
| Smokers Campaign | 0.491922 |
| state media campaigns | 0.47769 |
| comprehensive state tobacco | 0.476432 |
| smoking cessation website | 0.673441 |
| national tobacco education | 0.536303 |
| cessation website | 0.825729 |
| mass media campaigns | 0.560461 |
| North American Quitline | 0.504895 |
| Smokers national tobacco | 0.504478 |
| TIPS campaign advertisements | 0.488171 |
|
| weekly telephone calls | 0.48964 |
| smokers | 0.583409 |
| cessation website address | 0.528534 |
| cessation resources | 0.507034 |
| education media campaigns | 0.55599 |
| National Cancer Institute | 0.624758 |
| quitline portal number | 0.517341 |
| TIPS campaign | 0.931479 |
| TIPS campaign period | 0.50436 |
| media campaigns | 0.628622 |
| adult smokers | 0.478568 |
| free cessation medications | 0.500839 |
| state tobacco control | 0.505178 |
| cigarette smokers | 0.477455 |
| Chronic Disease Prevention | 0.50047 |
| additional unique visitors | 0.570652 |
| adequate reach | 0.483587 |
| national portal | 0.542033 |
| weekly unique visitors | 0.520939 |
| tobacco education campaign | 0.532293 |
| campaign advertising purchases | 0.488067 |
| education media campaign | 0.518135 |
| cessation assistance | 0.511429 |
| total attempted calls | 0.498399 |
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| 7633 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Missed Opportunities for Providing Low-Fat Dietary Advice to People With Diabetes - CDC |
Because cardiovascular disease is closely linked to diabetes, national guidelines recommend low-fat dietary advice for patients who have cardiovascular disease or are at risk for diabetes. |
| Medical Expenditure Panel | 0.315047 |
| diabetes management goals | 0.303425 |
| dietary messages | 0.254658 |
| in-depth dietary education | 0.264614 |
| health insurance | 0.257693 |
| diabetes mellitus | 0.289245 |
| low-fat dairy products | 0.274138 |
| cardiovascular risk factors | 0.26399 |
| Brief dietary counseling | 0.269403 |
| dietary education | 0.267487 |
| complex dietary recommendations | 0.263355 |
| low-fat dietary counseling | 0.319793 |
| diabetes type | 0.30749 |
| clinician dietary advice | 0.2829 |
| dietary fat | 0.264132 |
| smoking status | 0.252112 |
| total number | 0.267718 |
| single risk factors | 0.295194 |
| ADA-certified diabetes education | 0.303274 |
| vs low-fat diets | 0.270822 |
| ADA-designated risk factors | 0.301732 |
| Expenditure Panel Survey | 0.315073 |
| cardiometabolic multimorbidity | 0.256356 |
|
| risk factors | 0.758146 |
| low-fat dietary advice | 0.905269 |
| Diabetes Care | 0.30721 |
| disease risk factors | 0.265715 |
| unadjusted advice rates | 0.255102 |
| health | 0.258731 |
| Dietary intake | 0.255563 |
| dietary behavior | 0.273899 |
| provider-delivered dietary advice | 0.285208 |
| guideline-adherent dietary advice | 0.285033 |
| chronic conditions | 0.261177 |
| diabetes diagnosis | 0.30981 |
| respondents | 0.31573 |
| clinical comorbidity index | 0.303469 |
| MEPS respondents | 0.264733 |
| et al | 0.2855 |
| primary care | 0.275748 |
| formal dietary counseling | 0.266196 |
| diabetes risk factors | 0.413795 |
| American Diabetes Association | 0.382405 |
| coronary heart disease | 0.260095 |
| federal poverty index | 0.300522 |
| diabetes | 0.567195 |
|
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| 7942 |
Centers for Disease Control and Prevention |
Html |
en |
Early Estimates of Seasonal Influenza Vaccine Effectiveness- United States, January 2013 |
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. |
| influenza | 0.98417 |
| influenza B cases | 0.515372 |
| Influenza activity | 0.501468 |
| influenza virus type | 0.556473 |
| Public Health | 0.418559 |
| U.S. Influenza Vaccine | 0.682445 |
| United States | 0.522124 |
| Influenza Div | 0.504004 |
| Ann Arbor | 0.375347 |
| Group Health Cooperative | 0.448421 |
| Clinic Research Foundation | 0.704308 |
| Influenza Vaccine Effectiveness | 0.683306 |
| Henry Ford Health | 0.53402 |
| seasonal influenza vaccination | 0.626502 |
| influenza antiviral medication | 0.59063 |
| Marshfield Clinic Research | 0.713176 |
| influenza virus infection | 0.591134 |
| influenza B viruses | 0.542869 |
| vaccination status | 0.500507 |
| influenza virus test | 0.508359 |
| seasonal influenza vaccine | 0.752178 |
| influenza vaccine status | 0.578313 |
| Flu VE Network | 0.571299 |
|
| Health Sciences | 0.471694 |
| influenza vaccine | 0.96154 |
| influenza season | 0.521613 |
| influenza vaccines | 0.498131 |
| influenza vaccinations | 0.51723 |
| moderate effectiveness | 0.487126 |
| Michigan School | 0.415921 |
| vaccination efforts | 0.393696 |
| influenza vaccination | 0.772315 |
| clinical trial data | 0.378224 |
| laboratory-confirmed influenza virus | 0.641625 |
| antiviral treatment | 0.382151 |
| annual vaccination | 0.359547 |
| influenza viruses | 0.786287 |
| annual influenza vaccination | 0.666138 |
| study site | 0.466252 |
| influenza B virus | 0.494833 |
| influenza virus | 0.674309 |
| randomized clinical trials | 0.438405 |
| antiviral medications | 0.360943 |
| influenza cases | 0.516837 |
| influenza diagnostic tests | 0.530429 |
| Pittsburgh Schools | 0.472835 |
|
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Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Nutritional Assessment of Free Meal Programs in San Francisco - CDC |
Free meals often serve as a primary food source for adults living in poverty, particularly the homeless. We conducted a nutritional analysis of 22 meals from 6 free meal sites in San Francisco to determine macronutrient and micronutrient content. |
| internal nutritional standards | 0.489106 |
| limited financial resources | 0.443671 |
| San Francisco Department | 0.458658 |
| nutritional content standards | 0.533895 |
| nutritional value | 0.450153 |
| nutritious meals | 0.545027 |
| soup kitchen menus | 0.489301 |
| healthful meals | 0.608593 |
| warm meals | 0.606028 |
| daily meals | 0.614231 |
| Public Health Nutrition | 0.43444 |
| daily intake | 0.524826 |
| indirect nutritional analysis | 0.500491 |
| sodium content | 0.446058 |
| unmet nutritional needs | 0.515042 |
| primary food source | 0.567154 |
| Francisco General Hospital | 0.518528 |
| Hunger Environ Nutr | 0.440924 |
| meals | 0.976918 |
| nutritional analysis | 0.507308 |
| moderately active man | 0.431634 |
| Public Health | 0.547504 |
| free meal sites | 0.50495 |
| V. Nutritional assessment | 0.475467 |
|
| meals clients | 0.592783 |
| average carbohydrates | 0.447335 |
| General Internal Medicine | 0.509757 |
| Public Health Nutr | 0.461918 |
| important nutritional assessments | 0.483547 |
| nutritional quality | 0.486759 |
| standard meals | 0.565179 |
| soup kitchens | 0.749181 |
| suboptimal nutrient intake | 0.456044 |
| USDA reference standards | 0.433691 |
| equicaloric meals | 0.677252 |
| single meals | 0.585964 |
| San Francisco General | 0.523953 |
| Public Health Food | 0.45008 |
| charitable meal programmes | 0.437352 |
| soup kitchen | 0.644867 |
| special meals | 0.565536 |
| free meals | 0.868337 |
| San Francisco | 0.920134 |
| daily recommended intake | 0.71468 |
| California San Francisco | 0.459562 |
| Public Health Service | 0.433059 |
| United States Department | 0.435771 |
| MR. Food sources | 0.431274 |
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| 9772 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Impediments and Facilitators to Physical Activity and Perceptions of Sedentary Behavior Among Urban Community Residents: The Fair Park Study - CDC |
Insufficient physical activity is an established risk factor for numerous chronic diseases and for premature death. Accumulating evidence reveals that prolonged sedentary time is detrimental, independent of the protective effects of physical activity. |
| Fair Park | 0.457998 |
| study participants | 0.439875 |
| Southwestern Medical Center | 0.517724 |
| National Health Interview | 0.448252 |
| no. | 0.454877 |
| Texas Health Science | 0.448787 |
| health outcomes | 0.455011 |
| physical activity self-efficacy | 0.471904 |
| insufficient physical activity | 0.538755 |
| social support | 0.485875 |
| exercise facilities | 0.466857 |
| neighborhood crime | 0.481394 |
| positive health benefits | 0.447501 |
| weight loss | 0.447463 |
| negative health implications | 0.445153 |
| ethnic minority populations | 0.455371 |
| aerobic physical activity | 0.499412 |
| physical activity plays | 0.485116 |
| physically active lifestyle | 0.443247 |
| chronic disease | 0.485256 |
| health benefits | 0.462624 |
| ethnic minority | 0.479427 |
| male | 0.444139 |
| public health guidelines | 0.450474 |
| study | 0.472505 |
|
| African Americans | 0.459224 |
| habitual physical activity | 0.466557 |
| public health recommendations | 0.446142 |
| Fair Park Study | 0.454282 |
| study sample | 0.442173 |
| Public Health Nutr | 0.440567 |
| health behavior | 0.441488 |
| Simmons Cancer Center | 0.444916 |
| public health professionals | 0.439973 |
| sedentary behavior | 0.729705 |
| public health | 0.516221 |
| participants | 0.512686 |
| community physical activity | 0.462181 |
| prolonged sedentary time | 0.567801 |
| sedentary behaviors | 0.456169 |
| health | 0.533503 |
| public health managers | 0.440508 |
| Texas Southwestern Medical | 0.49739 |
| Advancing Translational Sciences | 0.448157 |
| risk factor | 0.457949 |
| physical activity | 0.900074 |
| perceptions | 0.454695 |
| leisure-time physical activity | 0.4661 |
| prolonged sedentary behavior | 0.482686 |
|
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| 14076 |
Centers for Disease Control and Prevention |
Html |
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Síntomas, diagnóstico y tratamiento | El virus del Zika | CDC |
Los síntomas más comunes son fiebre, sarpullido, dolor de articulaciones u ojos enrojecidos... |
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Centers for Disease Control and Prevention |
Html |
en |
FastStats - Health of Mexican American Population |
null |
| Summary Health Statistics | 0.82488 |
| Infant Mortality | 0.376668 |
| United States | 0.970365 |
| Final Data | 0.58892 |
| Health Statistics Tables | 0.824611 |
| National Health Interview | 0.82246 |
| Source | 0.685942 |
| poor health | 0.39055 |
| Number | 0.291823 |
| MB | 0.521562 |
| men | 0.340311 |
| KB | 0.299483 |
| deaths | 0.402436 |
|
| obesity | 0.297324 |
| health insurance coverage | 0.510498 |
| Percent | 0.802024 |
| Infant deaths | 0.391756 |
| Table P-11c | 0.362759 |
| Health Interview Survey | 0.822191 |
| live births | 0.389369 |
| high blood pressure | 0.789324 |
| cigarettes | 0.2914 |
| antihypertensive medication | 0.563759 |
| hypertension | 0.284868 |
| U.S. Population | 0.570466 |
|
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