| 574 |
Centers for Disease Control and Prevention |
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It's Your Life. Treat Your Diabetes Well. | CDC Features |
National Diabetes Month–time for a refresher on managing your type 1 or type Diabetes. |
| healthy diet | 0.425074 |
| target range—for example | 0.400159 |
| Hispanic/Latino Americans | 0.361578 |
| type | 0.478264 |
| body weight | 0.360145 |
| daily diabetes care | 0.579412 |
| healthy eating plan | 0.411638 |
| blood sugar levels—but | 0.44341 |
| healthy lifestyle | 0.420548 |
| blood flow | 0.37241 |
| Diabetes Educators | 0.52569 |
| diabetes ABCs | 0.529409 |
| risk factors | 0.407303 |
| fewer health problems | 0.406984 |
| additional health problems | 0.4096 |
| National Diabetes | 0.582946 |
| blood vessels | 0.460611 |
| blood sugar levels | 0.587779 |
| blood pressure check | 0.41918 |
| High blood sugar | 0.431891 |
| regular physical activity | 0.494579 |
| healthier life | 0.370785 |
| kidney function test | 0.403652 |
| diabetes supplies | 0.531805 |
|
| United States | 0.368976 |
| diabetes self-management education | 0.579389 |
| lower your risk | 0.360547 |
| health care appointments | 0.427934 |
| A1C test | 0.407123 |
| gestational diabetes | 0.620772 |
| healthy lifestyle choices | 0.4037 |
| heart disease | 0.393642 |
| health complications | 0.404835 |
| health care visit | 0.403864 |
| main types | 0.367968 |
| American Indians/Alaska Natives | 0.410923 |
| higher risk | 0.410045 |
| blood fats | 0.371466 |
| people | 0.361861 |
| doctor | 0.363484 |
| Pacific Islanders | 0.360746 |
| foot doctor | 0.359872 |
| average blood sugar | 0.434664 |
| healthy changes | 0.371017 |
| blood sugar | 0.792675 |
| diabetes | 0.900831 |
| diabetes educator | 0.587565 |
| similar activity | 0.361266 |
|
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| 4653 |
Centers for Disease Control and Prevention |
Html |
en |
Environmental metrics for community health improvement |
null |
| community metrics | 0.654623 |
| well-characterized health effects | 0.63404 |
| data | 0.636034 |
| long-term health determinants | 0.616075 |
| automobile dependence metrics | 0.639638 |
| Potential metrics | 0.62367 |
| community health information | 0.726901 |
| human health | 0.646822 |
| environmental health indicators | 0.666563 |
| general health | 0.622338 |
| health outcomes | 0.672948 |
| potential health effect | 0.61629 |
| direct health effects | 0.627818 |
| Rev Public Health | 0.62924 |
| assess health disparities | 0.677959 |
| air quality | 0.616366 |
| Health Rankings-Mobilizing Action | 0.614645 |
| Health Institute project | 0.61466 |
| community level | 0.703932 |
| population health | 0.611781 |
| environmental factors | 0.620076 |
| practicable metrics | 0.616853 |
| Optimal metrics | 0.6345 |
| feasible metrics | 0.623996 |
| community health determinants | 0.696295 |
|
| water quality | 0.622357 |
| community health | 0.866049 |
| environmental health metrics | 0.797766 |
| health effects | 0.672947 |
| health information base | 0.682446 |
| National environmental health | 0.671264 |
| environmental public health | 0.71797 |
| useful metrics | 0.618357 |
| Health Promot Practice | 0.61348 |
| environmental health policy | 0.667224 |
| drinking water | 0.619746 |
| local health departments | 0.673742 |
| public health | 0.85776 |
| general health outcomes | 0.622313 |
| health | 0.917155 |
| community health improvements | 0.656804 |
| self-reported poor health | 0.625486 |
| physical activity | 0.620961 |
| environmental metrics | 0.759288 |
| Environmental Health program | 0.660009 |
| community health aspirations | 0.662979 |
| Table). | 0.614686 |
| community health metrics | 0.848065 |
| public health action | 0.664982 |
|
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Centers for Disease Control and Prevention |
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Associations Between Severe Obesity and Depression: Results From the National Health and Nutrition Examination Survey, 2005-2006 |
null |
| severely obese women | 0.502512 |
| health professional interview | 0.483636 |
| poor physical health | 0.703213 |
| possible mediators | 0.487899 |
| mental health | 0.485149 |
| significant differences | 0.503532 |
| number | 0.481161 |
| self-rated health | 0.697479 |
| cross-sectional study | 0.47797 |
| class III obesity | 0.739488 |
| Nutrition Examination Survey | 0.512701 |
| health behaviors | 0.533091 |
| obesity | 0.853249 |
| major depression | 0.488775 |
| demographic factors | 0.537162 |
| specific health behaviors | 0.49145 |
| Patient Health Questionnaire | 0.53777 |
| waist circumference | 0.903838 |
| body mass index | 0.567724 |
| depression screener score | 0.516127 |
| self-rated health status | 0.578996 |
| National Health | 0.486679 |
| large waist circumference | 0.64816 |
| Wardle J. Depression | 0.502377 |
| waist circumference models | 0.517888 |
|
| severe obesity | 0.491058 |
| women | 0.678516 |
| study | 0.488517 |
| class II obesity | 0.529501 |
| association | 0.552524 |
| small waist circumference | 0.547465 |
| optimal waist circumference | 0.519109 |
| health status ratings | 0.485691 |
| PHQ-9 score | 0.509622 |
| alcohol consumption | 0.485564 |
| self-reported physical health | 0.479478 |
| men | 0.525816 |
| current depression | 0.541793 |
| BMI | 0.558416 |
| previous depression | 0.47914 |
| health | 0.806602 |
| depression status | 0.496451 |
| chronic conditions | 0.847033 |
| dependent variable | 0.488854 |
| physical activity | 0.486698 |
| prior obesity | 0.49074 |
| earlier obesity | 0.492419 |
| reference group | 0.59813 |
| logistic regression models | 0.507815 |
|
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| 5650 |
Centers for Disease Control and Prevention |
Html |
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Stoddard solvent - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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| 7933 |
Centers for Disease Control and Prevention |
Html |
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Vital Signs: Binge Drinking Among Women and High SchoolGirls - United States, 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. |
| gastric alcohol dehydrogenase | 0.44587 |
| presumed alcohol consumption | 0.452482 |
| Binge drinking intensity | 0.551844 |
| legal drinking | 0.454691 |
| Risk Factor Surveillance | 0.446433 |
| binge drinking | 0.913843 |
| blood alcohol levels | 0.466414 |
| health risk behaviors | 0.443944 |
| alcohol advertising | 0.443177 |
| Risk Behavior Survey | 0.449805 |
| alcohol spectrum disorder | 0.470337 |
| Youth Risk Behavior | 0.449237 |
| Alcohol Alcohol | 0.467152 |
| Preventive Services Task | 0.460641 |
| Excessive alcohol use* | 0.454285 |
| alcohol | 0.563947 |
| response rate | 0.452982 |
| higher blood alcohol | 0.448086 |
| current alcohol | 0.531984 |
| U.S. high school | 0.459485 |
| heavy drinking | 0.452024 |
| fetal alcohol spectrum | 0.47 |
| U.S. adult women | 0.474944 |
| Behavioral Risk Factor | 0.446247 |
| women | 0.539381 |
|
| drinking behavior | 0.468545 |
| high blood alcohol | 0.475526 |
| U.S. Preventive Services | 0.462878 |
| United States | 0.449305 |
| drinks | 0.462185 |
| alcohol consumption | 0.520204 |
| alcohol misuse | 0.447609 |
| adult drinking behavior | 0.468211 |
| national Youth Risk | 0.449238 |
| excessive alcohol | 0.470388 |
| U.S. state alcohol | 0.449714 |
| highest binge drinking | 0.53262 |
| B. Binge drinking | 0.531918 |
| excessive drinking | 0.456102 |
| alcohol outlet density | 0.446978 |
| Services Task Force | 0.485453 |
| high school students | 0.452088 |
| alcohol sales | 0.460213 |
| binge drinking prevalence | 0.587191 |
| Naimi TS | 0.460198 |
| blood alcohol concentrations | 0.452955 |
| high school girls | 0.682742 |
| binge drinking frequency | 0.547195 |
| excessive alcohol consumption | 0.44971 |
|
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| 10199 |
Centers for Disease Control and Prevention |
Html |
en |
Information for Organized Sporting Events | Lightning |
CDC provides lightning information including action plans and precautions for organized sporting events. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
| mold | 0.252047 |
| thunder | 0.255266 |
| insects | 0.249259 |
| navigation Skip | 0.731772 |
| disaster | 0.244593 |
| lightning strike injuries | 0.791929 |
| times | 0.241753 |
|
| Illnesses | 0.252101 |
| cleanup | 0.258289 |
| earth | 0.241937 |
| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
| warning | 0.257512 |
| consequences | 0.256428 |
| risk | 0.239677 |
| animals | 0.237091 |
| family | 0.242511 |
|
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| 12084 |
Centers for Disease Control and Prevention |
Html |
en |
Reports of Salmonella Outbreak Investigations from 2014 |
null |
| Schwarzengrund Infections Linked | 0.359301 |
| Salmonella Montevideo Infections | 0.380756 |
| Braenderup Infections Linked | 0.373528 |
| Salmonella Typhimurium Infections | 0.470925 |
| Human Salmonella Infections | 0.62336 |
| Case Count Maps | 0.990618 |
| Litchfield Infections Linked | 0.359164 |
| Papayas Salmonella Newport | 0.324648 |
| Enteritidis Infections Linked | 0.474029 |
| Salmonella Oranienburg Infections | 0.397972 |
| Salmonella Senftenberg Infections | 0.396628 |
| Human Salmonella Typhimurium | 0.377006 |
| Key Resources | 0.662218 |
| Saintpaul Infections Linked | 0.399178 |
| Papayas Salmonella Urbana | 0.324052 |
| Agona Infections Linked | 0.369012 |
| Outbreaks Salmonella | 0.330598 |
| Heidelberg Infections Linked | 0.481703 |
| Salmonella Outbreak Investigations | 0.33637 |
| Infantis Infections Linked | 0.445461 |
| Salmonella Urbana Infections | 0.405873 |
| Live Poultry Advice | 0.32883 |
| Salmonella Enteritidis Infections | 0.409036 |
| Bredeney Infections Linked | 0.367233 |
| Salmonella Virchow Infections | 0.395443 |
|
| Urbana Infections Linked | 0.388623 |
| Anatum Infections Linked | 0.387889 |
| Salmonella Anatum Infections | 0.405021 |
| Salmonella Mbandaka Infections | 0.385783 |
| Salmonella Heidelberg Infections | 0.453178 |
| Tennessee Infections Linked | 0.359103 |
| Imported Maradol Papayas | 0.337001 |
| Newport Infections Linked | 0.366402 |
| Salmonella Saintpaul Infections | 0.384628 |
| Salmonella Poona Infections | 0.39368 |
| Infections Associated | 0.336574 |
| Salmonella Abony Infections | 0.39748 |
| Infections Linked | 0.935812 |
| Johannesburg Infections Linked | 0.361186 |
| Salmonella Hadar Infections | 0.381799 |
| Maradol Papayas Salmonella | 0.359985 |
| Typhimurium Infections Linked | 0.481125 |
| Salmonella Infections Linked | 0.828693 |
| Papayas Salmonella Infections | 0.410398 |
| Panama Infections Linked | 0.360674 |
| Wandsworth Infections Linked | 0.358981 |
| Montevideo Infections Linked | 0.389619 |
| Live Poultry | 0.360726 |
| Salmonella Infantis Infections | 0.416704 |
|
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| 13242 |
Centers for Disease Control and Prevention |
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Increases in Hepatitis C Virus Infection Related toInjection Drug Use Among Persons Aged 30 Years or Younger - Kentucky,Tennessee, Virginia, and West Virginia, 2006-2012 |
Jon E. Zibbell, PhD1, Kashif Iqbal, MPH1, Rajiv C. Patel, MPH1, Anil Suryaprasad, MD1, Kathy J. |
| acute case reports | 0.427491 |
| opioid dependency | 0.402952 |
| Public Health | 0.433385 |
| prescription opioid abuse | 0.464941 |
| acute HCV infection* | 0.450267 |
| treatment admissions data | 0.411607 |
| HCV infection | 0.943196 |
| United States | 0.42077 |
| opioid injection | 0.38146 |
| acute cases | 0.374488 |
| nonurban areas | 0.405961 |
| West Virginia | 0.620008 |
| prescription opioid admissions | 0.52381 |
| abuse treatment admissions | 0.39618 |
| Infectious Disease Branch | 0.386152 |
| heroin admissions | 0.397896 |
| Treatment Episode Data | 0.380118 |
| current infection | 0.377832 |
| prescription opioids | 0.392884 |
| treatment admissions | 0.599329 |
| Kentucky Department | 0.399247 |
| IDU | 0.39371 |
| central Appalachia | 0.433451 |
| abuse treatment settings | 0.379103 |
|
| opioid abuse accounting | 0.404171 |
| integrated health services | 0.381514 |
| primary risk factor | 0.410476 |
| nonopioid injection | 0.382691 |
| Infectious Disease Epidemiology | 0.431845 |
| common blood-borne infection | 0.408389 |
| Prevention Services | 0.390321 |
| increase | 0.392273 |
| risk factor | 0.416111 |
| multiple treatment admissions | 0.387485 |
| West Virginia Department | 0.497063 |
| prescription opioid admission | 0.413455 |
| persons | 0.495992 |
| acute HCV cases | 0.449578 |
| young persons | 0.402212 |
| prescription opioid misuse | 0.403404 |
| acute infection | 0.390148 |
| individual treatment admissions | 0.388667 |
| substance abuse admissions | 0.413906 |
| acute HCV infection | 0.86759 |
| substance abuse treatment | 0.447294 |
| abuse treatment facilities | 0.379515 |
| acute HCV infections | 0.437688 |
|
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| 14174 |
Centers for Disease Control and Prevention |
Html |
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Legal Regulation of Sodium Consumption to Reduce Chronic Conditions |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| public health impacts | 0.2387 |
| excessive sodium | 0.557942 |
| public health complications | 0.263049 |
| stronger regulatory limits | 0.243598 |
| foods | 0.255874 |
| public health interventions | 0.250789 |
| broader public health | 0.262732 |
| National Restaurant Association | 0.250685 |
| sodium warning labels | 0.464054 |
| Global sodium consumption | 0.449569 |
| daily sodium consumption | 0.511722 |
| substantial public health | 0.32414 |
| high sodium content | 0.46311 |
| public health revenues | 0.23938 |
| public health repercussions | 0.251717 |
| public health crisis | 0.261658 |
| sodium content | 0.687241 |
| excess sodium intake | 0.439508 |
| low sodium | 0.435921 |
| public health officials | 0.246736 |
| American Heart Association | 0.25165 |
| Hunger-Free Kids Act | 0.242141 |
| sodium | 0.948593 |
| high sodium products | 0.555623 |
| E. Sodium intake | 0.437348 |
|
| lower sodium consumption | 0.479452 |
| legal interventions | 0.285012 |
| Greater public health | 0.244182 |
| public health impact | 0.265457 |
| negative public health | 0.308578 |
| sodium consumption | 0.789794 |
| sodium intake | 0.713791 |
| United States | 0.296701 |
| dietary sodium | 0.521605 |
| Average sodium consumption | 0.491342 |
| reduced sodium | 0.417825 |
| sodium compounds | 0.5713 |
| sodium ingestion | 0.432079 |
| public health | 0.841653 |
| sodium levels | 0.462365 |
| public health law | 0.362751 |
| excessive sodium intake | 0.535634 |
| public health tool | 0.324111 |
| light sodium | 0.417327 |
| utility regarding sodium | 0.444494 |
| excessive sodium content | 0.552854 |
| sodium’s dangers | 0.418233 |
| chronic disease outcomes | 0.256565 |
| actual sodium consumption | 0.500312 |
|
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Centers for Disease Control and Prevention |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| public health requests | 0.435083 |
| public locations | 0.368627 |
| County Health Department | 0.778102 |
| hospital security videos | 0.341097 |
| uncertain vaccination history | 0.355475 |
| C. Age range | 0.3449 |
| tertiary care hospital | 0.349955 |
| Shelby County | 0.706607 |
| health care facility | 0.429971 |
| measles virus | 0.625623 |
| epidemiologic link | 0.367126 |
| Shelby County Health | 0.663904 |
| measles diagnosis | 0.442077 |
| Regional Health Department | 0.40558 |
| 3Shelby County Health | 0.398678 |
| recent international travel | 0.348586 |
| rapid public health | 0.418765 |
| daily active monitoring | 0.335703 |
| public health officials | 0.897097 |
| initial measles | 0.458993 |
| 2-dose MMR vaccination | 0.518385 |
| high 2-dose MMR | 0.498048 |
| public health response | 0.534143 |
| health care settings | 0.420866 |
| effective public health | 0.444027 |
|
| recent measles cases | 0.514241 |
| United States | 0.353119 |
| intramuscular immune globulin | 0.335835 |
| unidentified epidemiologic link | 0.354909 |
| Measles Response Team | 0.496524 |
| previous measles outbreaks | 0.529622 |
| MMR vaccination coverage | 0.518358 |
| health care workers | 0.723698 |
| measles vaccine | 0.475577 |
| public health | 0.994802 |
| health care | 0.804048 |
| polymerase chain reaction | 0.353665 |
| health care systems | 0.433432 |
| international travel | 0.349235 |
| potentially exposed persons | 0.35669 |
| measles patients | 0.483723 |
| local public health | 0.475015 |
| positive measles IgM | 0.58878 |
| Public Health Preparedness | 0.415502 |
| close contacts | 0.424664 |
| measles IgM testing | 0.521769 |
| rash onset | 0.374666 |
| measles | 0.711161 |
| public health vaccination | 0.459833 |
|
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