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Centers for Disease Control and Prevention |
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Community Changes Address Common Health Threat | CDC Features |
Must be 35 words or less]: Children’s exposure to secondhand smoke increases lung and ear infections, asthma attacks, and can cause sudden infant death syndrome (SIDS).Communities are working to reduce secondhand smoke exposure in multiunit housing complexes, schools, and other public places. |
| CDC.gov Current Features | 0.906892 |
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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012:11_0185 |
The purpose of this study was to investigate associations between weight perceptions and perceived risk for diabetes and heart disease among overweight or obese women. |
| lower health literacy | 0.564761 |
| personal weight perceptions | 0.354737 |
| logistic regression analyses | 0.361656 |
| health center patients | 0.42029 |
| greater perceived risk | 0.580302 |
| obesity-related chronic disease | 0.358095 |
| Newest Vital Sign | 0.413711 |
| overweight increases | 0.360434 |
| multivariable logistic regression | 0.428583 |
| Disease Control | 0.360306 |
| Limited health literacy | 0.55949 |
| Nutrition Examination Survey | 0.359081 |
| health professionals | 0.36578 |
| risk factors | 0.371551 |
| community health centers | 0.380726 |
| disease risk interventions | 0.374246 |
| associated health risks | 0.360732 |
| poor health literacy | 0.408274 |
| National Health | 0.356793 |
| health literacy | 0.937157 |
| chronic disease | 0.394005 |
| personal health problem | 0.518068 |
| obese women | 0.375135 |
| higher health literacy | 0.597695 |
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| women | 0.387759 |
| adequate health literacy | 0.467355 |
| study | 0.359372 |
| Health Services | 0.361952 |
| perceived weight status | 0.374391 |
| Health Information National | 0.362138 |
| county health center | 0.357859 |
| heart disease | 0.788399 |
| weight status | 0.393178 |
| Vital Sign instrument | 0.37746 |
| overweight Americans | 0.365354 |
| overweight | 0.484094 |
| participants | 0.378361 |
| heart disease deaths | 0.370904 |
| obese female health | 0.375032 |
| adequate literacy | 0.362714 |
| accurate weight perceptions | 0.360461 |
| disease risk perceptions | 0.426402 |
| family history | 0.437646 |
| Public Health Service | 0.354749 |
| literacy test | 0.355316 |
| community health center | 0.3623 |
| weight perceptions | 0.471899 |
| diabetes | 0.46904 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Health Care Providers™ Recommendations for Physical Activity and Adherence to Physical Activity Guidelines Among Adults With Arthritis - CDC |
Physical activity is beneficial for reducing pain and improving health-related quality of life among people with arthritis. However, physical inactivity is prevalent among people with arthritis. Health care providers’ recommendations act as a catalyst for changes in health behavior. |
| logistic regression model | 0.36598 |
| self-reported physical activity | 0.362441 |
| people’s adherence | 0.355203 |
| Health Services Administration | 0.343259 |
| Risk Factor Surveillance | 0.349036 |
| arthritis literature | 0.356364 |
| recommendations | 0.457609 |
| moderate-intensity physical activity | 0.36503 |
| behavior change recommendations | 0.342674 |
| low adherence | 0.336481 |
| poor health status | 0.346186 |
| health care providers | 0.693518 |
| provider-diagnosed arthritis | 0.333981 |
| physical activity guidelines | 0.436719 |
| health-related quality | 0.327899 |
| provider’s recommendations | 0.332435 |
| body mass index | 0.341375 |
| Introduction
Physical activity | 0.369954 |
| questionnaire records respondents | 0.333086 |
| behavior changes | 0.338347 |
| arthritis population | 0.330233 |
| health status | 0.366272 |
| physical activity engagement | 0.355588 |
| respondents | 0.351397 |
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| arthritis | 0.428072 |
| comorbidities | 0.327094 |
| physical activity module | 0.370155 |
| physical activity guidelines. | 0.362281 |
| Behavioral Risk Factor | 0.349068 |
| adults | 0.343029 |
| association | 0.357625 |
| physical activity. | 0.331917 |
| activity limitations | 0.368443 |
| marital status | 0.338177 |
| overall poor health | 0.366178 |
| moderate-level physical activity | 0.357135 |
| physician-diagnosed arthritis | 0.331755 |
| multivariable logistic regression | 0.367873 |
| adherence | 0.453175 |
| additional health conditions | 0.328284 |
| health care coverage | 0.397501 |
| people | 0.404943 |
| people’s arthritis | 0.337586 |
| physical activity | 0.988173 |
| overall health status | 0.333308 |
| arthritis management module | 0.357427 |
| personal physician | 0.35444 |
| physical inactivity | 0.335983 |
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Centers for Disease Control and Prevention |
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PRAMS Data on Breastfeeding - Pregnancy Risk Assessment Monitoring System - Reproductive Health |
PRAMS Data on Breastfeeding |
| 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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Centers for Disease Control and Prevention |
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Global Health |
Diseases can cross communities and borders, but CDC responds whenever and wherever there is an infectious disease threat. |
| Field Epidemiology Training | 0.593034 |
| CDC | 0.486646 |
| Global Disease Detection | 0.910332 |
| safe water | 0.419853 |
| —Sonia Hegde | 0.412547 |
| investigative tools | 0.39078 |
| human face | 0.380497 |
| HIV infections | 0.403992 |
| AIDS Relief | 0.399865 |
| agony | 0.239588 |
| decline | 0.237273 |
| public health systems | 0.589224 |
| health professionals | 0.427135 |
| Emergency Plan | 0.406188 |
| test results | 0.3939 |
| polio cases | 0.423608 |
| countries | 0.449473 |
| critical step | 0.419241 |
| Diseases | 0.24028 |
| detectives | 0.24018 |
| page | 0.241874 |
| Disease Detection Center | 0.571437 |
| Nipah fever | 0.428047 |
| remote hospital | 0.396327 |
| human suffering | 0.383047 |
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| MPH-ASPH Fellow | 0.392184 |
| access | 0.237227 |
| health threats | 0.426938 |
| borders | 0.287933 |
| misery | 0.240035 |
| scientific community | 0.391608 |
| boy | 0.259895 |
| sanitation | 0.241266 |
| world | 0.362171 |
| PDF | 0.241853 |
| U.S. | 0.24016 |
| Bangladeshi patients | 0.411552 |
| inflammation | 0.284917 |
| Nipah virus | 0.4332 |
| 2M | 0.254484 |
| CDC staff | 0.481223 |
| Disease Detection Centers | 0.601114 |
| brain | 0.261154 |
| people | 0.272336 |
| severe respiratory problems | 0.56417 |
| PEPFAR program | 0.395018 |
| greatest need | 0.391995 |
| global disease outbreaks | 0.620332 |
| highly trained disease | 0.590688 |
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Centers for Disease Control and Prevention |
Video |
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Me? Have another baby? Preconception Health |
If you've already started your family, this is a wonderful time to care of yourself—and plan for the future. You already have goals and dreams for your child and family but now is a good time to take care of your own health as well. Preconception health means taking care of your own health now to make sure that whenever you're ready to have another baby, you'll be healthy for yourself and your future baby.
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://www.cdc.gov/CDCTV/PreHealth_Maria/index.html |
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Centers for Disease Control and Prevention |
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Ebola vaccine trial begins in Sierra Leone |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| study participants | 0.374627 |
| Western Area Rural | 0.426723 |
| Port Loko | 0.373884 |
| CDC’s National | 0.383554 |
| NewLink Genetics | 0.424767 |
| study locations | 0.378347 |
| Public Health Agency | 0.426149 |
| Ebola virus | 0.578291 |
| Disease Control | 0.380224 |
| future cases | 0.369063 |
| Mohamed Samai | 0.375909 |
| acceptable safety profile | 0.413688 |
| Ebola prevention tool | 0.530201 |
| health care professionals | 0.447763 |
| clinical trial | 0.36086 |
| personal protective equipment | 0.411906 |
| non-infectious Ebola virus | 0.54307 |
| CDC Director Tom | 0.460758 |
| rVSV-ZEBOV candidate vaccine | 0.924212 |
| National Microbiology Laboratory | 0.414733 |
| Western Area Urban | 0.426906 |
| Biomedical Advanced Research | 0.409769 |
| Anne Schuchat | 0.360498 |
| Respiratory Diseases | 0.36215 |
| early studies | 0.361966 |
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| Tonkolili districts | 0.366854 |
| advanced development | 0.36072 |
| Ebola virus disease | 0.545075 |
| study | 0.384068 |
| candidate Ebola vaccine | 0.769507 |
| important study | 0.377232 |
| United States | 0.362338 |
| epidemic —find | 0.378463 |
| vesicular stomatitis virus | 0.431248 |
| Sierra Leone | 0.567525 |
| Allied Health Sciences | 0.448152 |
| important tool | 0.37435 |
| certain chiefdoms | 0.370617 |
| immune response | 0.425932 |
| single contact | 0.37402 |
| Sierra Leone Trial | 0.471719 |
| preventive actions | 0.35882 |
| STRIVE | 0.367873 |
| effective vaccine | 0.545941 |
| principal investigator | 0.364219 |
| Sierra Leone Ministry | 0.472587 |
| future Ebola outbreaks | 0.530955 |
| proper training | 0.360584 |
| Sierra Leone College | 0.472964 |
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Evaluating Diabetes Mobile Applications for Health Literate Designs and Functionality, 2014 |
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. |
| health literate apps | 0.572377 |
| mobile diabetes apps | 0.653651 |
| free apps | 0.639656 |
| free diabetes-related apps | 0.522565 |
| Washington University | 0.340119 |
| Apple App Store | 0.352537 |
| URIGHT Diabetes Manager | 0.334676 |
| Diabetes Manager | 0.361202 |
| Gestational Diabetes Logbook | 0.330177 |
| diabetes apps people | 0.646738 |
| mHealth apps | 0.673781 |
| diabetes-specific apps | 0.484539 |
| Health Literacy Online | 0.314117 |
| health literate design | 0.379995 |
| physician-directed apps | 0.463547 |
| untreated diabetes | 0.325556 |
| diabetes mobile apps | 0.755906 |
| Diabetes Control Lite | 0.338041 |
| diabetes apps | 0.90443 |
| literate design strategies | 0.34674 |
| iBolusCalc Diabetes Blood | 0.341575 |
| Diabetes Dictionary | 0.314393 |
| low health literacy | 0.588932 |
| blood glucose | 0.332103 |
| diabetes-related apps | 0.680909 |
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| Washington University Center | 0.321386 |
| current mobile apps | 0.546623 |
| English-language diabetes-related apps | 0.530469 |
| Simple Diabetes | 0.316547 |
| free diabetes apps | 0.673148 |
| diabetes app characteristics | 0.452823 |
| health literate features | 0.364751 |
| diabetes type | 0.336195 |
| exercise apps | 0.459429 |
| gestational diabetes | 0.357161 |
| diabetes screening | 0.318144 |
| public health | 0.370412 |
| apps | 0.939119 |
| iOS apps | 0.426495 |
| literate mobile apps | 0.519859 |
| Pregnancy Diabetes Tracker | 0.336544 |
| RapidCalc Diabetes Manager | 0.336148 |
| diabetes complications | 0.333646 |
| popular diabetes apps | 0.632376 |
| Easy Diabetes Pro | 0.332146 |
| Diabetes Translation Research | 0.481754 |
| diabetes management | 0.384603 |
| diabetes-related mHealth apps | 0.574885 |
| Android-compatible apps | 0.423788 |
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Guide to Infection Prevention in Outpatient Settings - HAI |
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| Centers | 0.325181 |
| recommendation. | 0.32366 |
| Standard Precautions | 0.457668 |
| following document | 0.463061 |
| infection prevention measures | 0.694839 |
| ambulatory care settings | 0.708532 |
| safe care | 0.448036 |
| facility demographics sections | 0.553668 |
| Disease Control | 0.450784 |
| additional background | 0.44503 |
| health departments | 0.436905 |
| Outpatient Settings | 0.635068 |
| companion Checklist | 0.452855 |
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| infection prevention expectations | 0.732749 |
| Healthcare Infection Control | 0.728899 |
| evidence-based guidelines | 0.459916 |
| Infection Control Assessment | 0.687407 |
| ambulatory care | 0.783665 |
| Practices Advisory Committee | 0.58026 |
| rationale | 0.333885 |
| Readers | 0.323902 |
| infection prevention | 0.909246 |
| infection prevention recommendations | 0.800611 |
| assessment tool | 0.533788 |
| infection prevention elements | 0.683668 |
| summary guide | 0.590748 |
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Escherichia coli O157:H7 Infections Associated withContaminated Pork Products - Alberta, Canada, July-October 2014 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| H7 investigations | 0.534004 |
| food regulatory agencies | 0.518515 |
| H7–contaminated pork | 0.607264 |
| human E. coli | 0.502518 |
| pork production facilities | 0.574087 |
| pork exposure | 0.534719 |
| pork supplier network | 0.609788 |
| H7 outbreak | 0.527951 |
| Alberta Health Services | 0.497285 |
| food facility inspections | 0.569107 |
| Canadian Food Inspection | 0.509127 |
| key points | 0.487277 |
| pork products | 0.884015 |
| health E. coli | 0.559978 |
| Alberta pork distribution | 0.564548 |
| outbreak | 0.59386 |
| overall E. coli | 0.500548 |
| contaminated pork products | 0.626439 |
| pork handling | 0.600267 |
| improper pork-handling practices | 0.509617 |
| food facility | 0.578256 |
| pork production environments | 0.677153 |
| illegal pork distributor | 0.556002 |
| food safety training | 0.498568 |
| pork E. coli | 0.662474 |
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| Escherichia coli O157 | 0.56974 |
| notifiable disease surveillance | 0.502244 |
| primary outbreak patients | 0.55611 |
| human Escherichia coli | 0.509605 |
| food facility operator | 0.53473 |
| food facility closures | 0.537418 |
| H7 infection | 0.510857 |
| Food Inspection Agency | 0.509122 |
| outbreak cases | 0.569498 |
| pork distribution chain | 0.617688 |
| complex pork production | 0.572021 |
| hemolytic uremic syndrome | 0.505565 |
| local health department | 0.505024 |
| common identified exposure | 0.502548 |
| temporary food facility | 0.535997 |
| public health E. | 0.519835 |
| PFGE cluster patterns | 0.498026 |
| E. coli | 0.96411 |
| public health | 0.57731 |
| H7 infections | 0.53273 |
| regulatory food facility | 0.571477 |
| culture-confirmed E. coli | 0.514274 |
| food safety | 0.522352 |
| intra-Alberta pork supplier | 0.563066 |
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