| 1247 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Association Between Contraceptive Use and Gestational Diabetes: Missouri Pregnancy Risk Assessment Monitoring System, 2007"2008 - CDC |
The efficacy and safety of contraceptives have been questioned for decades; however, whether a relationship exists between hormonal contraceptives and gestational diabetes (GDM) is undetermined. The aim of this study was to investigate whether maternal risk for GDM was influenced by type of contraceptive method used before pregnancy. |
| recent pregnancy | 0.57313 |
| nonhormonal contraceptive methods | 0.615937 |
| Senior Services | 0.583099 |
| prenatal maternal morbidities | 0.57395 |
| higher odds | 0.637186 |
| GDM merits | 0.651056 |
| type | 0.573119 |
| pregnancy weight gain | 0.573404 |
| high blood glucose | 0.659026 |
| hormonal contraception | 0.674977 |
| contraceptive patches | 0.582885 |
| GDM | 0.947515 |
| birth control methods | 0.656315 |
| GDM given exposure | 0.710672 |
| Pregnancy Risk Assessment | 0.646688 |
| hormonal methods | 0.750869 |
| gestational diabetes | 0.622267 |
| predictor variables | 0.578953 |
| marital status | 0.582859 |
| PRAMS survey | 0.579437 |
| PRAMS C-PONDER query | 0.592454 |
| increased risk | 0.59025 |
| intermediate prenatal care | 0.574312 |
| barrier methods | 0.688605 |
|
| potential risk factor | 0.617709 |
| hormonal forms | 0.587231 |
| risk factors | 0.582386 |
| hormonal contraceptives | 0.622 |
| contraceptive method | 0.708164 |
| pregnancy | 0.738359 |
| Missouri Pregnancy Risk | 0.649751 |
| PRAMS | 0.669807 |
| Missouri PRAMS respondents | 0.606865 |
| contraception | 0.728651 |
| prenatal care | 0.816617 |
| Missouri Department | 0.584197 |
| Medicaid status | 0.583343 |
| birth control | 0.727262 |
| Missouri state PRAMS | 0.595623 |
| GDM prevalence | 0.662481 |
| weighted response rate | 0.612937 |
| hormonal birth control | 0.611006 |
| adequate prenatal care | 0.690055 |
| hormonal contraceptive methods | 0.707901 |
| prenatal care services | 0.574041 |
| Risk Assessment Monitoring | 0.632698 |
| fertility awareness | 0.583846 |
|
CLICK HERE |
| 4658 |
Centers for Disease Control and Prevention |
Html |
en |
Effect of a multifaceted, church-based wellness program on metabolic syndrome in 41 overweight or obese congregants |
null |
| North Carolina | 0.508439 |
| maximum heart rate | 0.394758 |
| modest weight loss | 0.405619 |
| Church Wellness Study | 0.401527 |
| healthy cutoff value | 0.394583 |
| blood pressure | 0.51891 |
| overweight BMI range | 0.40217 |
| decrease insulin resistance | 0.420976 |
| calorie restriction | 0.460682 |
| omega-6 fatty acids | 0.422003 |
| cardiovascular disease risk | 0.471571 |
| body mass index | 0.490723 |
| multifaceted wellness intervention | 0.433022 |
| weight loss | 0.629978 |
| University Health Sciences | 0.513717 |
| omega-3 fatty acids | 0.418262 |
| 6-month calorie restriction | 0.414324 |
| metabolic syndrome | 0.91007 |
| Heilbronn LK | 0.409992 |
| metabolic syndrome risk | 0.444315 |
| hip circumference | 0.395935 |
| obese participants | 0.433206 |
| intervention | 0.443425 |
| women | 0.404622 |
|
| overweight participants | 0.398592 |
| self-reported wellness | 0.399406 |
| exercise | 0.441104 |
| Forest University Health | 0.513723 |
| weight loss program | 0.428751 |
| exercise program | 0.401727 |
| 8-week intervention | 0.421643 |
| group exercise sessions | 0.399043 |
| weight loss programs | 0.495477 |
| exercise intervention | 0.392916 |
| insulin resistance | 0.715796 |
| health care | 0.394518 |
| participants | 0.455239 |
| Wake Forest University | 0.506681 |
| cardiovascular disease | 0.496571 |
| fatty acids | 0.535141 |
| original body weight | 0.399771 |
| physical activity | 0.420784 |
| United Methodist Church | 0.477858 |
| multifaceted wellness program | 0.418314 |
| obese adults | 0.406022 |
| commercial weight loss | 0.433765 |
| et al | 0.550088 |
| Hillsdale United Methodist | 0.472367 |
|
CLICK HERE |
| 4877 |
Centers for Disease Control and Prevention |
Html |
en |
Saving Lives, Controlling the Spread of Cholera |
CDC - Global Health |
| 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 |
|
CLICK HERE |
| 7875 |
Centers for Disease Control and Prevention |
Html |
en |
Ulcers - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Ulcers |
| gnawing | 0.32668 |
| antibiotic regimens | 0.396741 |
| breath test | 0.392371 |
| burning pain | 0.412104 |
| H. pylori | 0.739168 |
| bacterium Helicobacter | 0.407266 |
| bowel movements | 0.396151 |
| stomach | 0.379938 |
| national health care | 0.464801 |
| belly button | 0.402951 |
| chronic ulcer patients | 0.667631 |
| appropriate antibiotic treatment | 0.479728 |
| spicy foods | 0.392319 |
| H. pylori infection | 0.53045 |
| appropriate antibiotics | 0.40005 |
| ulcers bleed | 0.487682 |
| small tube | 0.390475 |
| ibuprofen | 0.32273 |
| first-time ulcer patients | 0.664524 |
| over-the-counter medications | 0.390053 |
| hero physician | 0.383253 |
| 35-year-old woman | 0.385853 |
| receptor antagonists | 0.395823 |
| NSAIDS | 0.323291 |
| early morning | 0.402073 |
|
| new cases | 0.391861 |
| annual impact | 0.391086 |
| antibiotic-based therapy | 0.387769 |
| recurrent abdominal pain | 0.595254 |
| abdomen | 0.324384 |
| ulcer-related hospitalizations | 0.399094 |
| ulcer disease | 0.737193 |
| common ulcer symptom | 0.749317 |
| long time | 0.398273 |
| peptic ulcer disease | 0.678269 |
| blood test | 0.390723 |
| endoscopy | 0.335844 |
| non-steroidal anti-inflammatory drugs | 0.485264 |
| acid-reducing medications | 0.386099 |
| pelvic inflammatory disease | 0.458453 |
| people | 0.350162 |
| common symptoms | 0.395538 |
| duodenum | 0.32495 |
| Ulcer pain | 0.665485 |
| fallopian tubes | 0.387174 |
| traditional ulcer treatment | 0.66615 |
| ulcer | 0.90721 |
| Primary care physicians | 0.456758 |
| ulcer symptoms | 0.60435 |
|
CLICK HERE |
| 8847 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Investigation of High HIV Prevalencein Western Equatoria State - South Sudan, 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. |
| Western Equatoria State | 0.356973 |
| antenatal clinics | 0.274131 |
| HIV epidemic | 0.389074 |
| original MMWR paper | 0.226493 |
| U.S. Government Printing | 0.221711 |
| Human Services | 0.229273 |
| commodity storage procedures | 0.22564 |
| Global Disease Detection | 0.22564 |
| HIV/AIDS HIV testing | 0.503491 |
| HIV prevention | 0.488349 |
| World Health Organization/United | 0.255396 |
| HIV seropositivity | 0.42301 |
| U.S. Department | 0.223293 |
| MMWR HTML versions | 0.221327 |
| testing attendees | 0.260829 |
| antiretroviral treatment services | 0.241464 |
| Global HIV/AIDS | 0.225246 |
| higher HIV prevalence | 0.518162 |
| voluntary counseling | 0.447421 |
| South Sudan Ministry | 0.288619 |
| HIV transmission | 0.387182 |
| Bahr el Ghazal | 0.243552 |
| Equatoria State Ministry | 0.225993 |
| health-care workers | 0.241098 |
|
| testing data collection | 0.277897 |
| antenatal clinic attendees | 0.265911 |
| South Sudan | 0.615466 |
| Global Health | 0.239281 |
| national HIV response | 0.444604 |
| HIV testing practices | 0.513689 |
| HIV prevention services | 0.47541 |
| antenatal clinic registers | 0.257756 |
| comprehensive HIV prevention | 0.446504 |
| HIV risk factors | 0.458568 |
| HIV testing data | 0.514847 |
| HIV programmatic data | 0.492273 |
| HIV services | 0.428369 |
| public health response | 0.26148 |
| Key informant interviews | 0.232645 |
| early sexual debut | 0.228043 |
| HIV testing | 0.618523 |
| human immunodeficiency virus | 0.242098 |
| HIV testing procedures | 0.495676 |
| E. Kainne Dokubo | 0.311521 |
| limited HIV care | 0.456573 |
| two-test serial testing | 0.256664 |
| Central African Republic | 0.224549 |
|
CLICK HERE |
| 9617 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Table L3 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Age and State or Territory |
BRFSS 2008 - Table L3 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Age and State or Territor |
| CDC | 0.286484 |
| FL | 0.276668 |
| Lifetime Asthma Prevalence | 0.466783 |
| Technical Information | 0.277605 |
| Search Form Controls | 0.488437 |
| Adult Asthma Data | 0.287385 |
| Child Table | 0.901174 |
| file | 0.433393 |
| Clifton Road Atlanta | 0.277139 |
| MD | 0.268276 |
| IA | 0.269152 |
| GA | 0.313785 |
| small sample size | 0.264684 |
| Prevalence Tables | 0.295145 |
| MI | 0.262651 |
| sample size | 0.284809 |
| CA | 0.278813 |
| Tweet Share Compartir | 0.32174 |
| MN | 0.2619 |
| U.S. Total** | 0.722547 |
| Table L2 | 0.394622 |
| Table | 0.902982 |
| Table L3 | 0.40268 |
| *CI denotes confidence | 0.267314 |
|
| MS | 0.266799 |
| page options Skip | 0.307609 |
| Search Controls | 0.307333 |
| KS | 0.268568 |
| )|| | 0.315776 |
| Child Table L2 | 0.361982 |
| different file formats | 0.263953 |
| Map R1 | 0.264105 |
| file formats | 0.269547 |
| KY | 0.26615 |
| 10.6 | 0.627943 |
| Apple Quicktime file | 0.267305 |
| 14.1 | 0.334378 |
| CT | 0.272813 |
| Child Table C2 | 0.361002 |
| Asthma Prevalence Rate | 0.46613 |
| Table L3 Lifetime | 0.304828 |
| NE | 0.261826 |
| AZ | 0.276612 |
| confidence interval | 0.302159 |
| Table C2 | 0.393384 |
| 14.5 | 0.404044 |
| Adult Self-Reported Lifetime | 0.308199 |
|
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| 9747 |
Centers for Disease Control and Prevention |
Html |
en |
Update: Influenza Activity - United States and Worldwide,May 19-September 28, 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 | 0.993455 |
| CDC influenza surveillance | 0.503434 |
| avian influenza | 0.507467 |
| United States | 0.566976 |
| Influenza Div | 0.491924 |
| novel influenza | 0.623372 |
| influenza vaccine product | 0.50978 |
| human influenza viruses | 0.580241 |
| influenza information | 0.527398 |
| quadrivalent influenza vaccine | 0.521408 |
| U.S. influenza surveillance | 0.551689 |
| inactivated influenza vaccines | 0.499869 |
| influenza virus vaccines | 0.529284 |
| influenza vaccine composition | 0.519242 |
| seasonal influenza viruses | 0.644248 |
| live attenuated influenza | 0.497921 |
| influenza B component | 0.497212 |
| influenza vaccine strains | 0.514193 |
| influenza virus infection | 0.510023 |
| influenza antiviral medications | 0.508552 |
| Year-round influenza surveillance | 0.500193 |
| CP influenza | 0.530411 |
| variant viruses | 0.411995 |
|
| influenza trivalent influenza | 0.702107 |
| Cities Mortality Reporting | 0.419186 |
| influenza A virus | 0.526957 |
| Southern Hemisphere influenza | 0.511203 |
| Influenza surveillance reports | 0.502108 |
| influenza vaccine | 0.597956 |
| World Health Organization | 0.426818 |
| influenza activity | 0.648659 |
| influenza vaccines | 0.559788 |
| influenza vaccination | 0.523342 |
| tropical influenza seasonality | 0.515553 |
| new influenza vaccines | 0.501777 |
| inactivated influenza vaccine | 0.510531 |
| Influenza Division | 0.508582 |
| EP vaccine viruses | 0.407445 |
| influenza surveillance | 0.583202 |
| influenza viruses | 0.693042 |
| annual influenza vaccination | 0.511555 |
| recent seasonal influenza | 0.486552 |
| influenza B virus | 0.522486 |
| influenza b viruses | 0.686352 |
| influenza a viruses | 0.61497 |
|
CLICK HERE |
| 10494 |
Centers for Disease Control and Prevention |
Html |
en |
Email Updates: August 13, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| CDC | 0.965151 |
| CDC’s National | 0.749817 |
| Public Health Matters | 0.576546 |
| appropriate opioid prescribing | 0.544493 |
| FDA Safety Information | 0.541483 |
| NCHHSTP Atlas | 0.525822 |
| CDC Health Advisory | 0.793425 |
| – (CDC) | 0.719061 |
| Health Care Professionals | 0.563034 |
| CDC Science Clips | 0.803101 |
| Additional COCA Conference | 0.581145 |
| state health departments | 0.563248 |
| important safety information | 0.537681 |
| Free CE credit/contact | 0.535246 |
| human medical products | 0.525609 |
| Weekly Flu View | 0.522902 |
| on-demand emergency preparedness | 0.555437 |
| national immunization coverage | 0.567158 |
| H3N2v Virus Infections | 0.575499 |
| H3N2v Cases Telebriefing | 0.542134 |
| hear subject matter | 0.537813 |
| 122-Cities Mortality Reporting | 0.528044 |
| Event Reporting Program | 0.526747 |
| h3n2v virus | 0.587307 |
|
| emergency preparedness | 0.583861 |
| worst electrical blackout | 0.531117 |
| Salmonella Enteritidis Infections | 0.551736 |
| CDC Fact Sheet | 0.75744 |
| Human Infections Reported | 0.565198 |
| United States | 0.612455 |
| CDC Update | 0.707117 |
| COCA Email Update | 0.58904 |
| west nile virus | 0.817308 |
| public health community | 0.577424 |
| adverse health effects | 0.587219 |
| COCA Call/Webinar | 0.521676 |
| local health departments | 0.569959 |
| public health | 0.727961 |
| Specific Hazards preparedness | 0.550358 |
| Heat Prevention Guide | 0.536401 |
| disaster risk reduction | 0.540253 |
| FoodSafety.gov Reports FDA | 0.53577 |
| National Immunization Awareness | 0.660555 |
| Earn FREE CE | 0.540002 |
| federal public health | 0.562808 |
| Response Training Resources | 0.540896 |
| CDC subject matter | 0.838458 |
| public health research | 0.577838 |
|
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| 12851 |
Centers for Disease Control and Prevention |
Html |
en |
CDC, Federal Partners Develop Improved Method for Attributing Foodborne Illness |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| common food sources | 0.412419 |
| new food categories | 0.401874 |
| Interagency Food Safety | 0.433755 |
| vegetable row crops | 0.355112 |
| scientific data | 0.260844 |
| USDA’s Food | 0.291846 |
| Disease Control | 0.275033 |
| overall federal efforts | 0.347696 |
| raw milk | 0.342847 |
| U.S. Food | 0.295475 |
| specific foodborne illnesses | 0.578094 |
| new method | 0.273061 |
| Listeria monocytogenes | 0.370062 |
| food products | 0.271485 |
| outbreak data | 0.588687 |
| Outbreak Surveillance Data | 0.4897 |
| recent outbreak data | 0.45604 |
| illness source attribution | 0.926913 |
| major foodborne bacteria | 0.522219 |
| Escherichia coli O157 | 0.463711 |
| IFSAC partnership | 0.499198 |
| foodborne illness | 0.981917 |
| Listeria illnesses | 0.391493 |
| IFSAC’s methods | 0.550642 |
| foodborne illness source | 0.962637 |
|
| unpasteurized queso fresco | 0.38133 |
| O157 illnesses | 0.327498 |
| performance standards | 0.254683 |
| United States | 0.257251 |
| Source Attribution Estimates | 0.507523 |
| Drug Administration | 0.274661 |
| agency priorities | 0.254422 |
| percent | 0.376963 |
| public meeting | 0.242716 |
| Salmonella illnesses | 0.345783 |
| Campylobacter illnesses | 0.348709 |
| food commodities | 0.259005 |
| IFSAC | 0.786337 |
| E. coli | 0.603435 |
| IFSAC experts | 0.526869 |
| single large outbreak | 0.407272 |
| risk-based decision making | 0.364009 |
| attribution percentages | 0.306209 |
| dairy outbreaks | 0.254287 |
| leafy vegetables | 0.247383 |
| Analytics Collaboration | 0.259667 |
| improved method | 0.268913 |
| report | 0.259692 |
| new estimates | 0.297446 |
|
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| 16468 |
Centers for Disease Control and Prevention |
Html |
es |
Motivación para que el Año Nuevo sea saludable - Especiales CDC - CDC en Español |
Haga de la salud su objetivo. Encuentre maneras de estar saludable este año. Consejos para mantenerse saludable y mantener saludables a su familia, su hogar, su comunidad y su lugar de trabajo. |
| Archivo Apple Quicktime | 0.709401 |
| Archivo RealPlayer | 0.606374 |
| grasas trans | 0.613976 |
| múltiples enfermedades | 0.583594 |
| Archivo Microsoft PowerPoint | 0.742182 |
| Archivo Adobe PDF | 0.709825 |
| Archivo Microsoft | 0.919775 |
|
| Archivo Microsoft Word | 0.738129 |
| Archivo Texto | 0.593559 |
| antecedentes médicos familiares.* | 0.696406 |
| Archivo Zip Comprimido | 0.705859 |
| Archivo Microsoft Excel | 0.712904 |
| filtro solar | 0.590929 |
|
CLICK HERE |