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Centers for Disease Control and Prevention |
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Medication and Pregnancy |
Pregnant women should not stop or start taking any type of medication that they need without first talking with a doctor. Women planning to become pregnant should discuss any medication with their doctor before becoming pregnant. |
| CDC | 0.335283 |
| common conditions | 0.392086 |
| type | 0.345033 |
| Teratology Information Specialists | 0.473763 |
| possible risks | 0.395561 |
| Thalomid® | 0.320615 |
| mother | 0.33166 |
| pregnant women | 0.747163 |
| safety | 0.397316 |
| medications | 0.965984 |
| pregnant woman | 0.462628 |
| action | 0.323324 |
| internet websites post | 0.490152 |
| health conditions | 0.39329 |
| U.S. Food | 0.40931 |
| pregnant women volunteers | 0.533623 |
| pregnancy | 0.761782 |
| over-the-counter medications | 0.550191 |
| Safer Medication | 0.456945 |
| OTIS counselor | 0.398652 |
| market | 0.344357 |
| effects | 0.399647 |
| Examples | 0.320633 |
| healthcare providers | 0.391691 |
|
| unborn baby | 0.605299 |
| FDA | 0.345449 |
| best alternatives | 0.38771 |
| Drug Administration | 0.409274 |
| effective contraception methods | 0.493518 |
| database | 0.334667 |
| dietary supplements | 0.402472 |
| certain medications | 0.5294 |
| studies | 0.368303 |
| National Library | 0.39408 |
| federal agencies | 0.393284 |
| isotretinoin | 0.325407 |
| important thing | 0.399004 |
| Treating | 0.372273 |
| medication | 0.777638 |
| initiative strives | 0.394222 |
| birth defects | 0.626273 |
| doctor | 0.560552 |
| healthcare provider | 0.7186 |
| high blood pressure | 0.484994 |
| herbal products | 0.499236 |
| potential alternatives | 0.388386 |
| Learn | 0.323339 |
| breastfeeding | 0.336936 |
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Centers for Disease Control and Prevention |
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QuickStats: Percentage of Adults Aged 25 or Older Who Were Current Smokers or Current Regular Drinkers,* by Education Level - National Health Interview Survey, United States, 2012 |
Abbreviation: GED = general equivalency diploma. |
| high school | 0.989291 |
| endorsement | 0.33731 |
| Alternate Text | 0.378876 |
| separate questions | 0.394757 |
| Human Services | 0.457195 |
| U.S. civilian population | 0.45678 |
| lifetime | 0.334224 |
| current regular drinker | 0.474974 |
| U.S. Department | 0.450098 |
| MMWR HTML versions | 0.437646 |
| current smokers | 0.622748 |
| electronic PDF version | 0.436234 |
| education level | 0.380795 |
| equivalency diploma recipients | 0.479907 |
| household interviews | 0.384754 |
| current regular drinkers | 0.744454 |
| Contact GPO | 0.387272 |
| percentages | 0.33993 |
| commercial sources | 0.380232 |
| age groups | 0.384007 |
| current prices | 0.388056 |
| general equivalency diploma | 0.620434 |
| standard population | 0.383854 |
| alcoholic beverage | 0.525258 |
|
| original paper copy | 0.437721 |
| cigarettes | 0.359051 |
| high school graduates | 0.588076 |
| United States | 0.382734 |
| U.S. Government Printing | 0.446578 |
| original MMWR paper | 0.435561 |
| adults | 0.463198 |
| drinks | 0.369013 |
| college graduates | 0.461769 |
| MMWR readers | 0.378909 |
| character translation | 0.377135 |
| entire life | 0.481487 |
| format errors | 0.374387 |
| typeset documents | 0.37765 |
| Respondents | 0.348914 |
| trade names | 0.380271 |
| official text | 0.37456 |
| U.S. population | 0.384853 |
| non-CDC sites | 0.377658 |
| college degree | 0.453454 |
| high school diploma | 0.846756 |
| Highest education | 0.384204 |
| confidence interval | 0.387264 |
| electronic conversions | 0.37376 |
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Centers for Disease Control and Prevention |
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Prevention Research Centers - Depression Prevention Using RAP Skills for Adolescents and Young Adults - PRC |
Host Johns Hopkins University. |
| 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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Centers for Disease Control and Prevention |
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Influence of change in aerobic fitness and weight on prevalence of metabolic syndrome. |
The metabolic syndrome is the clustering of several cardiometabolic risk factors that can lead to the development of coronary heart disease and type 2 diabetes. We evaluated whether a change in aerobic fitness resulting from a lifestyle intervention could significantly change the odds of metabolic syndrome prevalence. |
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Centers for Disease Control and Prevention |
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Food Deserts - Health Communication |
Food Desert - Gateway to Health Communication - CDC |
| large grocery store | 0.674275 |
| healthy diet | 0.629719 |
| healthier food offerings | 0.683204 |
| minority | 0.541462 |
| building | 0.539199 |
| low-income area | 0.590774 |
| health outcomes | 0.600705 |
| easier access | 0.600198 |
| affordable fruits | 0.620991 |
| big problem | 0.590817 |
| local governments | 0.672606 |
| essential nutrients | 0.606639 |
| Americans | 0.558984 |
| local transportation | 0.593144 |
| low income areas | 0.692865 |
| community garden | 0.667816 |
| USDA food desert | 0.694349 |
| next-door neighbor Sylvia | 0.667468 |
| different types | 0.594518 |
| efforts | 0.527462 |
| local convenience store | 0.671356 |
| fresh fruits | 0.585996 |
| zoning codes | 0.592073 |
| low-fat milk | 0.613312 |
| Maria | 0.530947 |
|
| healthy foods | 0.797586 |
| retail food markets | 0.713971 |
| closest store | 0.593251 |
| metros | 0.520608 |
| limited access | 0.681099 |
| community members | 0.672152 |
| convenience stores | 0.605971 |
| tax incentives | 0.591624 |
| food deserts | 0.989416 |
| microwavable foods | 0.60222 |
| diets | 0.541838 |
| vegetables | 0.536517 |
| regular basis | 0.587267 |
| food desert definitions | 0.687629 |
| common theme | 0.59599 |
| standard definition | 0.595469 |
| St. Louis | 0.588818 |
| food desert | 0.766306 |
| local farmers markets | 0.670636 |
| 60-year-old woman | 0.588974 |
| higher number | 0.604064 |
| food access | 0.613439 |
| grains | 0.518966 |
| affordable nutritious foods | 0.865416 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Consumer Nutrition Environments of Hospitals: An Exploratory Analysis Using the Hospital Nutrition Environment Scan for Cafeterias, Vending Machines, and Gift Shops, 2012 - CDC |
Hospitals are the primary worksite of over 5 million adults in the United States, and millions of meals are procured and consumed in this setting. Because many worksite nutrition initiatives use an ecological framework to improve the dietary habits of employees, the nutrition values of foods served in hospitals is receiving attention. |
| hospitals | 0.671239 |
| healthful food choices | 0.500225 |
| gift shops | 0.765725 |
| Texas Health Science | 0.499997 |
| nutrition environment survey | 0.49424 |
| overall consumer nutrition | 0.505319 |
| nutrition composite score | 0.678742 |
| total possible points | 0.580523 |
| healthful items | 0.512447 |
| food service | 0.836146 |
| organizational nutrition environment | 0.495484 |
| unhealthful items | 0.500123 |
| healthful cafeteria practices | 0.502152 |
| overall nutrition | 0.571732 |
| gift shop section | 0.50699 |
| healthful eating | 0.493973 |
| food service operation | 0.503413 |
| gift shop sections | 0.489142 |
| nutrition composite scores | 0.909573 |
| Southern California hospitals | 0.494271 |
| food service outlets | 0.521398 |
| hospital nutrition environment | 0.582421 |
| good consumer nutrition | 0.496163 |
| small hospital cafeterias | 0.492528 |
| average consumer nutrition | 0.503498 |
|
| community nutrition environment | 0.499498 |
| higher nutrition composite | 0.517629 |
| food service departments | 0.511095 |
| consumer nutrition environment | 0.966492 |
| hospital cafeterias | 0.551085 |
| Nutrition Environment Scan | 0.53084 |
| study | 0.498917 |
| consumer nutrition environments | 0.85032 |
| facility size | 0.538792 |
| multiple consumer nutrition | 0.488756 |
| hospital consumer nutrition | 0.515472 |
| Large hospital cafeterias | 0.49509 |
| common food service | 0.490692 |
| public health | 0.547725 |
| health care systems | 0.504942 |
| healthful practices | 0.489562 |
| greater nutrition environment | 0.497722 |
| large facility size | 0.507301 |
| healthful nutrition practices | 0.526063 |
| gift shop | 0.563913 |
| hospital food service | 0.511903 |
| food service operations | 0.721687 |
| Health Science Center | 0.499876 |
| healthful foods | 0.53344 |
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CDC Global Health - Polio - Updates on CDC's Polio Eradication Efforts - December 20, 2013 |
Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide. |
| global polio eradication | 0.798505 |
| polio vaccination campaigns | 0.343598 |
| global polio surveillance | 0.334719 |
| Polio Eradication Initiative | 0.483655 |
| polio eradication plans | 0.424158 |
| polio eradication | 0.99501 |
| polio eradication progress | 0.418754 |
| polio cases | 0.351082 |
| Polio incidence | 0.278375 |
|
| polio outbreaks | 0.358571 |
| polio vaccination campaign | 0.334994 |
| Polio Eradication Effort | 0.493767 |
| CDC’s polio | 0.38105 |
| polio vaccination | 0.352523 |
| polio eradication activities | 0.538167 |
| CDC polio eradication | 0.607892 |
| polio surveillance | 0.409771 |
| polio worldwide | 0.314412 |
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Malaria - Features - Malaria and Summer Tropical Travel |
Featured story on the World Health Organizations's 2009 World Malaria Report. |
| reason | 0.328562 |
| dusk | 0.329103 |
| Summer | 0.329737 |
| health information | 0.420167 |
| tropical overseas areas | 0.579871 |
| trip | 0.325494 |
| malaria exposure | 0.737688 |
| preventable disease | 0.448342 |
| children | 0.386974 |
| weather | 0.329652 |
| flu-like illness | 0.4466 |
| mosquitoes | 0.375217 |
| relaxation | 0.331175 |
| diseases | 0.328806 |
| relatives | 0.369786 |
| insect repellent | 0.475949 |
| CDC Malaria website | 0.822443 |
| clear directions | 0.428093 |
| CDC interactive malaria | 0.861874 |
| visitor | 0.326736 |
| health history | 0.425781 |
| medicine properly. | 0.429567 |
| sunscreen | 0.370328 |
| grandparents | 0.334308 |
| country table | 0.436076 |
|
| malaria | 0.986396 |
| good news | 0.448157 |
| CDC Travelers | 0.443032 |
| medical attention | 0.433155 |
| certain medicines | 0.440163 |
| place | 0.352844 |
| old friends | 0.453954 |
| map | 0.325848 |
| travel history | 0.42449 |
| international travel | 0.427672 |
| Health website | 0.420821 |
| restaurants. | 0.329249 |
| bites | 0.361963 |
| people | 0.329687 |
| exotic tropical destination | 0.581711 |
| home | 0.354221 |
| doctor | 0.35119 |
| package directions | 0.427432 |
| malaria information | 0.726572 |
| healthcare provider | 0.436248 |
| best beaches | 0.460228 |
| tropics | 0.333074 |
| time | 0.355103 |
| family | 0.329199 |
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Centers for Disease Control and Prevention |
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For General Healthcare Settings in West Africa: Guidance forDrawing Blood Safely When Caring for Patients with Confirmed orSuspected Ebola | Ebola Hemorrhagic Fever | CDC |
null |
| ebola treatment center | 0.812119 |
| CDC | 0.420705 |
| injuries | 0.439044 |
| patient care area | 0.586303 |
| ETUs | 0.421023 |
| ECCs | 0.420993 |
| needle sticks | 0.62555 |
| blood collection | 0.730569 |
| infections | 0.443324 |
| guidelines | 0.419299 |
| Ebola Care Centers | 0.676785 |
| injury | 0.441527 |
| sharps containers | 0.779835 |
| personal protective equipment | 0.597461 |
| three-quarters | 0.425912 |
| health facilities | 0.499382 |
| diseases | 0.439911 |
| PUIs | 0.44369 |
| patient care | 0.597598 |
| oral version | 0.504005 |
| samples | 0.466496 |
| EVD patients | 0.498524 |
| treatment centers | 0.49445 |
| oral medications | 0.500015 |
| Ebola Treatment Units | 0.681887 |
|
| incineration | 0.421521 |
| sharp instruments | 0.509316 |
| Confirmed Ebola Virus | 0.690435 |
| injectable medications | 0.506648 |
| sharp objects | 0.618787 |
| Ebola Hemorrhagic Fever | 0.690788 |
| wear gloves | 0.506111 |
| sharps container | 0.582723 |
| Drawing Blood Safely | 0.642642 |
| blood collection tube | 0.58283 |
| hepatitis | 0.443947 |
| practices | 0.42031 |
| considerations | 0.420354 |
| general healthcare settings | 0.951989 |
| confirmed EVD | 0.527705 |
| Wear PPE | 0.507664 |
| HIV | 0.440593 |
| infectious disease | 0.504692 |
| healthcare workers | 0.622227 |
| West Africa | 0.614315 |
| uncapped needles | 0.639027 |
| Investigation | 0.421384 |
| EVD testing | 0.592646 |
| risk | 0.441544 |
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Traumatic Brain and Spinal Cord Fatalities Among High Schooland College Football Players - United States, 2005-2014 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| North Carolina | 0.481462 |
| high school | 0.902569 |
| traumatic brain | 0.752693 |
| high school deaths | 0.577159 |
| spinal cord fatalities | 0.479479 |
| energy damage countermeasures | 0.484011 |
| Sport Injury Research | 0.554168 |
| cord injury fatalities | 0.490716 |
| spring football | 0.477267 |
| spinal cord injuries | 0.563426 |
| cord injury deaths | 0.589036 |
| National Center | 0.481185 |
| college fatalities | 0.479418 |
| Brain Injury Research | 0.473997 |
| proper tackling techniques | 0.544441 |
| traumatic brain injury | 0.667726 |
| college deaths | 0.494457 |
| college football players | 0.595432 |
| Collegiate Athletic Association | 0.483751 |
| subdural hematoma | 0.474819 |
| State High School | 0.55069 |
| emergency action plan | 0.486638 |
| medical services onsite | 0.494511 |
| fatal traumatic brain | 0.474745 |
| concussion | 0.496334 |
|
| high school fatalities | 0.524215 |
| 10-year study period | 0.525503 |
| emergency medical services | 0.775971 |
| athletic trainers | 0.478277 |
| Haddon energy damage | 0.484224 |
| regular season game | 0.616217 |
| school football players | 0.491457 |
| Catastrophic Sport Injury | 0.557049 |
| brain injury deaths | 0.551936 |
| National Collegiate Athletic | 0.528858 |
| high school brain | 0.507639 |
| catastrophic football injury | 0.483516 |
| spinal cord | 0.67201 |
| football deaths | 0.476864 |
| spinal cord injury | 0.639006 |
| school football player | 0.474377 |
| traumatic brain injuries | 0.533059 |
| high school players | 0.522626 |
| medical care | 0.481905 |
| Chapel Hill | 0.481454 |
| brain injury fatalities | 0.498618 |
| impact syndrome | 0.49086 |
| High School Associations | 0.550685 |
| high school player | 0.538699 |
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