| 6488 |
Centers for Disease Control and Prevention |
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en |
Promoting active communities in a culture of distracted driving |
Efforts to improve health outcomes through behavioral modification are often complicated by external factors that may thwart success and introduce potential harm. Factors associated with traffic safety present a contemporary challenge to efforts to promote physical activity. One example is the difficulty of encouraging pedestrian-based physical activity because of the growing prevalence of distracted driving. |
| pedestrian-based physical activity | 0.60409 |
| communications technology sector | 0.514475 |
| active communities | 0.531982 |
| Texas A&M University | 0.53029 |
| environmental modifications | 0.528527 |
| monthly text messages | 0.529517 |
| Matthew Lee Smith | 0.512769 |
| Rural Public Health | 0.639553 |
| reduced collision claims | 0.522761 |
| commercial automotive industry | 0.519177 |
| portable technology device | 0.527996 |
| College Station | 0.560722 |
| Mark E. Benden | 0.521829 |
| Science Center School | 0.617911 |
| health outcomes | 0.515245 |
| bicycle lanes | 0.550293 |
| Traffic Safety Association | 0.552938 |
| active transportation | 0.551606 |
| roadway design accounts | 0.546953 |
| Healthy People | 0.525273 |
| markedly increased injuries | 0.520261 |
| public health | 0.732922 |
| street-scale environmental policies | 0.543782 |
| distracted driving | 0.628849 |
|
| overall roadway safety | 0.554407 |
| bicyclists | 0.547642 |
| mobile communication technology | 0.532008 |
| automobile-pedestrian interactions | 0.530585 |
| pedestrians | 0.620233 |
| street design features | 0.537398 |
| A&M Health Science | 0.63285 |
| road users | 0.545912 |
| Texas A&M Health | 0.632675 |
| traffic safety | 0.617277 |
| physical activity | 0.995746 |
| promotes physical activity | 0.58713 |
| public health movement | 0.573079 |
| Complete Streets initiative | 0.655312 |
| proper technological solutions | 0.512361 |
| Health Science Center | 0.63436 |
| hand-held cellular telephone | 0.533732 |
| Public Health Service | 0.566616 |
| physical activity opportunities | 0.586768 |
| unsafe street environments | 0.532751 |
| independently rising growth | 0.518548 |
| specifies active transportation | 0.547873 |
| modifiable public infrastructures | 0.56629 |
|
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| 6994 |
Centers for Disease Control and Prevention |
Html |
en |
Promotion of Healthy Swimming After a Statewide Outbreak of Cryptosporidiosis Associated with Recreational Water Venues - Utah,2008-2009 |
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. |
| Utah BRFSS survey | 0.380445 |
| multiple recreational water | 0.384892 |
| Lake Valley Health | 0.413171 |
| recreational water–associated outbreak | 0.388866 |
| Utah Department | 0.375533 |
| public health authorities | 0.414289 |
| healthy swimming campaigns | 0.464093 |
| swimming campaign posters | 0.385773 |
| healthy swimming behavior | 0.483051 |
| recreational water illnesses | 0.398076 |
| communitywide cryptosporidiosis outbreaks | 0.437329 |
| healthy swimming messages | 0.49733 |
| Salt Lake Valley | 0.399259 |
| education campaign | 0.37413 |
| Utah residents | 0.585616 |
| Utah callback survey | 0.378933 |
| unhealthy swimming behavior | 0.37915 |
| diarrhea | 0.384722 |
| multimedia healthy swimming | 0.464889 |
| water quality | 0.39763 |
| healthy swimming questions | 0.421001 |
| pool water quality | 0.372155 |
| recreational water venues | 0.579117 |
| laboratory-confirmed cryptosporidiosis | 0.388974 |
|
| public health agencies | 0.571472 |
| Utah BRFSS callback | 0.373236 |
| press conference | 0.382486 |
| summer swimming season | 0.482365 |
| Injury Prevention | 0.380745 |
| healthy swimming campaign | 0.564442 |
| Utah public health | 0.434031 |
| competitive water sports | 0.372683 |
| Cryptosporidium contamination | 0.387366 |
| television advertisements | 0.397354 |
| future surveys | 0.38028 |
| resource-intensive communitywide cryptosporidiosis | 0.371573 |
| Michele C. Hlavsa | 0.389247 |
| recreational water–associated transmission | 0.380794 |
| healthy swimming | 0.959434 |
| healthy swimming behaviors | 0.636468 |
| recreational water venue | 0.383447 |
| Cryptosporidium | 0.416372 |
| Utah Behavioral Risk | 0.375037 |
| healthy swimming knowledge | 0.596893 |
| local public health | 0.413755 |
| Recreational Water Illness | 0.461284 |
| recreational water–associated outbreaks | 0.815083 |
| greater percentage | 0.398581 |
|
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| 8698 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Defining and Measuring Chronic Conditions: Imperatives for Research, Policy, Program, and Practice - CDC |
We outline a conceptual model for improving understanding of and standardizing approaches to defining, identifying, and using information about chronic conditions in the United States. We illustrate this model’s operation by applying a standard classification scheme for chronic conditions to 5 national-level data systems. |
| Medical Expenditure Panel | 0.509908 |
| Chronic Care | 0.506017 |
| Condition Data Warehouse | 0.566308 |
| single chronic condition | 0.5343 |
| HHS data systems | 0.521388 |
| selected conditions | 0.49113 |
| chronic conditions data | 0.570935 |
| measure chronic conditions | 0.550549 |
| concurrent chronic conditions | 0.528109 |
| National Health Interview | 0.504886 |
| multiple chronic conditions | 0.637813 |
| Expenditure Panel Survey | 0.504871 |
| chronic condition | 0.721854 |
| Health Interview Survey | 0.505552 |
| data elements | 0.520833 |
| different data systems | 0.491522 |
| specific data systems | 0.491302 |
| chronic illnesses | 0.504988 |
| DefinitionA chronic disease | 0.504723 |
| individual chronic conditions | 0.576577 |
| OASH list | 0.498329 |
| chronic disease | 0.574918 |
| chronic disease data | 0.55827 |
| Medical condition data | 0.491038 |
| CMS Chronic Condition | 0.521983 |
|
| chronic kidney disease | 0.538059 |
| classification scheme | 0.508615 |
| United States | 0.490566 |
| national-level data systems | 0.498648 |
| chronic disease indicators | 0.517196 |
| Services Chronic Condition | 0.512945 |
| chronic condition indicators | 0.523111 |
| multiple risk factors | 0.496043 |
| data sets | 0.50562 |
| standard classification scheme | 0.500987 |
| ambulatory medical care | 0.492781 |
| public health | 0.61618 |
| Chronic Condition Data | 0.6477 |
| individual chronic diseases | 0.525736 |
| ongoing medical care | 0.685144 |
| multiple data systems | 0.5544 |
| chronic diseases | 0.527738 |
| data collection | 0.508613 |
| chronic conditions | 0.905479 |
| various data systems | 0.509508 |
| Chronic Condition Indicator | 0.52352 |
| chronic illness | 0.528647 |
| data systems | 0.777977 |
| conceptual model | 0.541291 |
|
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| 9132 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - State Data Profiles |
National Asthma Control Program State Profiles |
| CDC National Asthma | 0.704331 |
| Technical Notes | 0.244398 |
| Puerto Rico | 0.274055 |
| State Contacts | 0.253009 |
| visit https://www.cdc.gov/asthma/nacp.htm | 0.266751 |
| asthma patient education | 0.651413 |
| state partners | 0.253563 |
| Select state profiles | 0.380136 |
|
| previous funding cycle | 0.433435 |
| current information | 0.2607 |
| U.S. Statistical data | 0.383744 |
| Asthma Control Program | 0.924017 |
| Asthma State Profiles | 0.857316 |
| Program grantee states | 0.419611 |
| National Asthma Control | 0.924709 |
| asthma prevalence | 0.550177 |
|
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| 9715 |
Centers for Disease Control and Prevention |
Html |
es |
Imágenes y fotos - Recursos de la campaña - Consejos de exfumadores |
Fotos de las personas que aparecen en la campaña Consejos de exfumadores que muestra casos reales de personas que padecen afecciones por fumar o por la exposición al humo de segunda mano. |
| Archivo Apple Quicktime | 0.765384 |
| Archivo Zip Comprimido | 0.761037 |
| Archivo Microsoft PowerPoint | 0.784642 |
| Archivo Adobe PDF | 0.76389 |
| Archivo Microsoft Excel | 0.760225 |
|
| Nueva Jersey | 0.683272 |
| graves daños | 0.677161 |
| Archivo Microsoft | 0.957845 |
| Archivo Microsoft Word | 0.781504 |
|
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| 10605 |
Centers for Disease Control and Prevention |
Html |
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News and Press Releases: Conferences: Weight of the Nation | DNPAO | CDC |
null |
| key sessions | 0.533542 |
| CDC | 0.341048 |
| obesity prevention strategies | 0.887778 |
| environmental strategies | 0.564886 |
| measurement data protocols | 0.680328 |
| corresponding handouts | 0.542895 |
| United States | 0.516844 |
| policy level change | 0.695902 |
| live webcasts | 0.543492 |
| session window | 0.537577 |
| environmental change | 0.52129 |
| policies | 0.336357 |
| Public Health web | 0.728848 |
| useful resources | 0.509145 |
| inaugural conference | 0.566314 |
| Implementation | 0.334589 |
| active living | 0.516843 |
| obesity prevention strategy | 0.848711 |
| recommended strategies | 0.535828 |
| measures | 0.336107 |
| Adobe Acrobat Reader | 0.698809 |
| problem | 0.336458 |
| DNPAO | 0.341886 |
| additional links | 0.529071 |
|
| obesity prevention | 0.99961 |
| local governments | 0.73323 |
| school districts | 0.517232 |
| Prevent Obesity | 0.688051 |
| Acrobat Reader software | 0.695903 |
| entirety | 0.35595 |
| Recommended Community Strategies | 0.715788 |
| healthy eating | 0.743505 |
| control | 0.341727 |
| Measurement Guide | 0.507131 |
| satellite broadcasts | 0.534476 |
| Weight | 0.377126 |
| physical activity | 0.523098 |
| MMWR report | 0.517974 |
| Nation conference | 0.52331 |
| forum | 0.341254 |
| site | 0.3379 |
| Alabama Department | 0.533668 |
| comprehensive set | 0.52532 |
| files | 0.361084 |
| progress | 0.334597 |
| associated measurements | 0.528451 |
| communities | 0.369212 |
|
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| 11768 |
Centers for Disease Control and Prevention |
Html |
en |
Autism Spectrum Disorder (ASD) - Screening and Diagnosis |
Autism Spectrum Disorders (ASDs) are a group of developmental disabilities that can cause significant social, communication and behavioral challenges. CDC is working to find out how many children have ASDs, discover the risk factors, and raise awareness of the signs. |
| final diagnosis | 0.263272 |
| developmental screening test | 0.592039 |
| developmental screening | 0.748382 |
| family member | 0.236567 |
| developmental problems | 0.558539 |
| experienced professional | 0.271883 |
| ASD | 0.904698 |
| basic skills | 0.265396 |
| children | 0.368225 |
| Additional screening | 0.528238 |
| well-child doctor visits | 0.869253 |
| autism spectrum disorder | 0.518818 |
| neurological testing | 0.218582 |
| thorough review | 0.233317 |
| higher risk | 0.227138 |
|
| developmental delays | 0.594324 |
| regular well-child doctor | 0.863691 |
| comprehensive diagnostic evaluation | 0.404084 |
| blood test | 0.281057 |
| short test | 0.255964 |
| diagnostic tools | 0.23036 |
| primary care doctor | 0.414939 |
| medical test | 0.27071 |
| comprehensive evaluation | 0.219362 |
| vision screening | 0.295228 |
| genetic testing | 0.222203 |
| high risk | 0.472205 |
| medical testing | 0.213329 |
| low birth weight | 0.848976 |
|
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| 13042 |
Centers for Disease Control and Prevention |
Html |
en |
Employment and Activity Limitations Among Adults with Chronic Obstructive Pulmonary Disease - United States, 2013 |
Anne G. Wheaton, PhD1, Timothy J. Cunningham, PhD1, Earl S. |
| COPD patients | 0.761916 |
| Opinion Research Response | 0.47204 |
| limitation measures | 0.521085 |
| health care provider | 0.478594 |
| Janet B. Croft | 0.474034 |
| various activity limitations | 0.52461 |
| current smokers | 0.58667 |
| smoking status | 0.501995 |
| state health departments | 0.482105 |
| health care providers | 0.526524 |
| current smoking | 0.507534 |
| progressive respiratory conditions | 0.476515 |
| response rate | 0.490345 |
| activity limitation characteristics | 0.511354 |
| noninstitutionalized civilian adults | 0.486069 |
| special equipment | 0.559794 |
| health problems | 0.526243 |
| physician-diagnosed COPD | 0.725489 |
| smoking cessation | 0.487584 |
| pulmonary rehabilitation program | 0.476408 |
| chronic bronchitis | 0.476256 |
| Earl S. Ford | 0.472972 |
| Behavioral Risk Factor | 0.471639 |
| physical activity status | 0.536079 |
| obstructive pulmonary disease | 0.482224 |
|
| United States | 0.611391 |
| adults | 0.56228 |
| Timothy J. Cunningham | 0.473581 |
| respiratory symptoms | 0.468311 |
| Anne G. Wheaton | 0.534585 |
| activity limitations | 0.829415 |
| Data Quality Report | 0.476081 |
| greater educational level | 0.468047 |
| random-digit–dialed telephone survey | 0.470969 |
| activity limitation | 0.573155 |
| COPD prevalence | 0.74081 |
| important contributor | 0.477083 |
| U.S. adults | 0.54653 |
| age-adjusted prevalence | 0.503906 |
| response rates | 0.472357 |
| health | 0.531899 |
| physical activity | 0.666019 |
| median survey response | 0.474341 |
| current smoking status | 0.488865 |
| COPD diagnosis | 0.639241 |
| public health efforts | 0.469257 |
| American Indian/Alaska Native | 0.467485 |
| pulmonary rehabilitation | 0.565368 |
| COPD status | 0.674639 |
|
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| 13410 |
Centers for Disease Control and Prevention |
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en |
Announcement: National Cleft and Craniofacial Awareness andPrevention Month - July 2015 |
July is National Cleft and Craniofacial Awareness and Prevention Month, a time to raise awareness and improve understanding of orofacial clefts (clefts of the lip and palate) and other conditions of the head and face. Each year in the United States, approximately 2,600 babies are born with a cleft palate and 4,400 babies are born with a cleft lip, with or without a cleft palate (1). Other craniofacial birth defects include craniosynostosis (skull sutures fusing prematurely), anotia/microtia (ear is missing or underdeveloped), and anophthalmia/microphthalmia (missing or abnormally small eye). |
| population-based birth defects | 0.583907 |
| important public health | 0.538404 |
| United States | 0.599542 |
| U.S. Government Printing | 0.513078 |
| original MMWR paper | 0.509792 |
| orofacial clefts | 0.802131 |
| Human Services | 0.519642 |
| National Cleft | 0.568952 |
| craniofacial condition | 0.507567 |
| health care–service | 0.480798 |
| National Birth Defects | 0.674274 |
| U.S. Department | 0.517776 |
| MMWR HTML versions | 0.511515 |
| MMWR readers | 0.463606 |
| Craniofacial Awareness | 0.573006 |
| orofacial cleft | 0.551541 |
| Mai CT | 0.527044 |
| cleft lip | 0.518752 |
| health outcomes | 0.479556 |
| craniofacial birth defects | 0.656424 |
| Birth defects data | 0.579918 |
| skull sutures | 0.476185 |
| language development | 0.468554 |
| electronic PDF version | 0.507212 |
|
| health care providers | 0.612662 |
| craniofacial conditions | 0.514845 |
| Clin Mol Teratol | 0.645616 |
| Canfield MA | 0.46591 |
| risk factors | 0.464653 |
| medication treatment | 0.464604 |
| control diabetes | 0.462979 |
| National Birth Prevalence | 0.53967 |
| Additional information | 0.465043 |
| Contact GPO | 0.469982 |
| typeset documents | 0.460957 |
| cleft palate | 0.567969 |
| Cassell CH | 0.466175 |
| trade names | 0.461444 |
| commercial sources | 0.461409 |
| high prevalence | 0.472195 |
| preventable causes | 0.468861 |
| birth defects | 0.92772 |
| greater number | 0.46842 |
| craniofacial defects | 0.565506 |
| non-CDC sites | 0.460676 |
| original paper copy | 0.509055 |
| et al | 0.52325 |
|
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| 16156 |
Centers for Disease Control and Prevention |
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Todos pueden ayudar a detener el hostigamiento de los niños que tienen el síndrome de Gilles de la Tourette - Especiales CDC - CDC en Español |
Del 15 de mayo al 15 de junio es el Mes de Concientización sobre el Síndrome de Tourette. El tema de este año es un desafío para aumentar la concientización y la aceptación del síndrome de Gilles de la Tourette (#DesafíoST). Conozca la información sobre los tics y el síndrome de Gilles de la Tourette (también llamado síndrome de Tourette o TS, por sus siglas en inglés) y sepa cómo puede aumentar la aceptación al ayudar a detener el hostigamiento de los niños con este síndrome. |
| Archivo Apple Quicktime | 0.831324 |
| malas palabras | 0.773977 |
| Archivo Zip Comprimido | 0.827813 |
| Archivo Microsoft PowerPoint | 0.844402 |
| Archivo Adobe PDF | 0.828397 |
| Archivo Microsoft Excel | 0.823898 |
|
| pequeña cantidad | 0.771885 |
| boy scouts | 0.742085 |
| Archivo Microsoft | 0.982742 |
| Embajadores Juveniles | 0.752186 |
| Archivo Microsoft Word | 0.842044 |
|
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