| 7051 |
Centers for Disease Control and Prevention |
Html |
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Global Health - Norway |
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| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
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| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
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| 7105 |
Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0301 |
The fight against infectious disease advanced dramatically with the consolidation of the germ theory in the 19th century. This focus on a predominant cause of infections (ie, microbial pathogens) ultimately led to medical and public health advances (eg, immunization, pasteurization, antibiotics). |
| similar pro-inflammatory inducers | 0.514497 |
| primary microbial cause | 0.497982 |
| neutral inducers | 0.504831 |
| infectious diseases | 0.567342 |
| economic development | 0.493878 |
| human health | 0.599624 |
| metaflammation | 0.500367 |
| inducers | 0.57137 |
| anti-inflammatory inducers | 0.51974 |
| associated risk factors | 0.499122 |
| interesting pro-inflammatory inducer | 0.488277 |
| chronic respiratory problems | 0.585027 |
| chronic inflammation | 0.570397 |
| human environment | 0.494502 |
| anthropogens | 0.485881 |
| Roman physician Aurelius | 0.486262 |
| germ theory | 0.766884 |
| chronic disease | 0.93966 |
| epidemiological transition | 0.529261 |
| modern chronic diseases | 0.593573 |
| Public health approaches | 0.496722 |
| microbial pathogens | 0.541035 |
| pro-inflammatory inducers | 0.536331 |
| infectious disease prevention | 0.535808 |
| Disease control priorities | 0.513703 |
|
| endocrine-disrupting chemicals | 0.494372 |
| fatty acid | 0.534888 |
| chronic disease causality | 0.58991 |
| Human immune responses | 0.512905 |
| single underlying etiology | 0.500788 |
| B. Public health | 0.497832 |
| heart disease | 0.530586 |
| public health advances | 0.520116 |
| chronic disease epidemics | 0.58137 |
| public health | 0.617476 |
| motor vehicle trauma | 0.491107 |
| chronic disease etiology | 0.622614 |
| text description | 0.492694 |
| metaflammatory inducers | 0.510788 |
| modern man-made environments | 0.523295 |
| chronic diseases | 0.80835 |
| Industrial Revolution | 0.495423 |
| Chronic Inflammatory Disorders | 0.54883 |
| chronic conditions | 0.588087 |
| biological effects | 0.492471 |
| gut microbiota | 0.489936 |
| little immune response | 0.508733 |
| classical inflammation | 0.615064 |
| infectious disease | 0.556317 |
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| 9415 |
Centers for Disease Control and Prevention |
Html |
es |
Calidad de vida relacionada con la salud y niveles de actividad física en mujeres de mediana edad, Encuesta de Entrevistas de Salud de California, 2005 |
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| Luncheon C | 0.628548 |
| posibles factores | 0.603891 |
| salud pública | 0.826125 |
| Zack M | 0.63531 |
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| mediana edad | 0.916848 |
| mala salud | 0.879206 |
| Chronic Dis | 0.650639 |
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| 10565 |
Centers for Disease Control and Prevention |
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en |
Preventing Chronic Disease | Youth Advocacy as a Tool for Environmental and Policy Changes That Support Physical Activity and Nutrition: An Evaluation Study in San Diego County - CDC |
As evidence grows about the benefits of policy and environmental changes to support active living and healthy eating, effective tools for implementing change must be developed. Youth advocacy, a successful strategy in the field of tobacco control, should be evaluated for its potential in the field of obesity prevention. |
| Statewide Youth Movement | 0.345113 |
| adult group leaders | 0.567478 |
| County Childhood Obesity | 0.513201 |
| Living Research Program | 0.352273 |
| Youth Engagement | 0.347582 |
| half-day train-the-trainer seminars | 0.363855 |
| Childhood Obesity Initiative | 0.506356 |
| San Diego County | 0.694912 |
| Diego County Childhood | 0.441038 |
| active living | 0.445512 |
| Wood Johnson Foundation | 0.34771 |
| evaluation | 0.406185 |
| youth advocacy project | 0.424442 |
| San Diego | 0.743469 |
| adult leaders | 0.616578 |
| Diego State University | 0.594177 |
| obesity prevention | 0.393847 |
| youth advocacy groups | 0.485312 |
| Community Health Improvement | 0.368474 |
| community advocacy | 0.364225 |
| San Diego Health | 0.342216 |
| decision makers | 0.970797 |
| community | 0.38681 |
| Health Improvement Partners | 0.352947 |
| future youth advocacy | 0.377223 |
|
| adult mentors | 0.34385 |
| youth advocacy strategies | 0.376177 |
| youth empowerment | 0.329407 |
| Active Living Research | 0.346639 |
| environmental changes | 0.415884 |
| group leaders | 0.739419 |
| Robert Wood Johnson | 0.34872 |
| racial minority groups | 0.341083 |
| living community advocacy | 0.351984 |
| technical assistance | 0.548823 |
| youth advocacy | 0.817542 |
| COI | 0.417555 |
| control youth advocacy | 0.403918 |
| youth participants | 0.357641 |
| San Diego State | 0.592834 |
| groups | 0.695886 |
| active group leaders | 0.338675 |
| physical activity | 0.53018 |
| COI training seminars | 0.354663 |
| youth groups | 0.367783 |
| Policy Consulting Group | 0.354402 |
| community youth obesity | 0.368882 |
| housing resident groups | 0.324611 |
| Healthy Fitness Zone | 0.341177 |
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| 11234 |
Centers for Disease Control and Prevention |
Html |
es |
Tasas de cáncer por raza y grupo étnico |
Estadísticas sobre la incidencia y mortalidad del cáncer por raza y grupo étnico y sexo. |
| Archivo Apple Quicktime | 0.519443 |
| Censo P25-1130 | 0.5347 |
| adultos jóvenes | 0.51321 |
| campaña mujeres afroamericanas | 0.536359 |
| Archivo Adobe PDF | 0.519301 |
| Investigaciones Resúmenes | 0.514477 |
| Archivo Microsoft | 0.550326 |
| Archivo Microsoft Word | 0.521404 |
| Archivo Texto | 0.511824 |
| cáncer colorrectal | 0.815687 |
| cáncer prevención | 0.613124 |
| Archivo Microsoft Excel | 0.519843 |
| vida prevención | 0.516982 |
|
| cuántas personas | 0.543131 |
| Nuevos casos | 0.513355 |
| Archivo RealPlayer | 0.512942 |
| ¶Los datos | 0.51228 |
| Archivo Microsoft PowerPoint | 0.521681 |
| Estados Unidos | 0.962368 |
| potenciales diferencias | 0.532525 |
| Informe Anual | 0.540773 |
| Archivo Zip Comprimido | 0.519367 |
| razas blancos | 0.535764 |
| mediana edad | 0.517854 |
| Comunicación Masiva | 0.512712 |
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| 12144 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Ohio Primary Health CareProviders' Practices and Attitudes Regarding Screening Women WithPrior Gestational Diabetes for Type 2 Diabetes Mellitus - 2010 -CDC |
Gestational diabetes mellitus (GDM) is associated with a 7-fold increased lifetime risk for developing type 2 diabetes mellitus. Early diagnosis of type 2 diabetes is crucial for preventing complications. Despite recommendations for type 2 diabetes screening every 1 to 3 years for women with previous diagnoses of GDM and all women aged 45 years or older, screening prevalence is unknown. We sought to assess Ohio primary health care providers’ practices and attitudes regarding assessing GDM history and risk for progression to type 2 diabetes. |
| screening | 0.556234 |
| family physicians | 0.509288 |
| public health interventions | 0.494761 |
| subsequent lifelong screening | 0.485229 |
| blood glucose screening | 0.489313 |
| health care provider | 0.479183 |
| Gestational diabetes mellitus | 0.49904 |
| Overall response rate | 0.490821 |
| screening women | 0.484975 |
| type | 0.62416 |
| primary care providers | 0.649532 |
| Disease Control | 0.485815 |
| care providers | 0.681065 |
| health care providers | 0.612088 |
| Ohio primary health | 0.524767 |
| periodic screening | 0.483342 |
| response rate | 0.496666 |
| long-term care facility | 0.499578 |
| primary care physicians | 0.625541 |
| respondents | 0.54053 |
| GDM diagnosis | 0.633863 |
| public health agencies | 0.484543 |
| women | 0.699576 |
| United States | 0.503742 |
|
| internal medicine | 0.563062 |
| new female patients | 0.61945 |
| diabetes mellitus | 0.503663 |
| subsequent screening | 0.481636 |
| patient’s GDM | 0.640668 |
| prior GDM lack | 0.653703 |
| prior GDM | 0.971774 |
| health care | 0.618735 |
| public health | 0.59559 |
| nonpregnant women | 0.508704 |
| true screening rates | 0.483453 |
| glucose intolerance | 0.613014 |
| primary health care | 0.571533 |
| GDM history | 0.974451 |
| primary care respondents | 0.504518 |
| physical activity | 0.572377 |
| chi-square tests | 0.478985 |
| primary care | 0.75851 |
| Recurrent GDM | 0.609443 |
| American Diabetes Association | 0.495579 |
| internal medicine physicians | 0.546459 |
| screening rates | 0.533001 |
| postpartum screening | 0.481072 |
| low screening rates | 0.480284 |
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| 12403 |
Centers for Disease Control and Prevention |
Image |
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Timeline for Anthrax Laboratory Incident (1185W x 916H) |
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Centers for Disease Control and Prevention |
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STD & HIV Screening Recommendations | Prevention | STDs |
STD & HIV Screening Recommendations from CDC |
| healthcare providers | 0.536713 |
| sexually active women | 0.918674 |
| zip code | 0.520972 |
| sexually transmitted infection | 0.969848 |
| clinics | 0.424299 |
| adults | 0.423783 |
| Annual chlamydia screening | 0.725839 |
| gonorrhea screening | 0.727471 |
| frequent HIV testing | 0.642649 |
| STD testing recommendations | 0.677424 |
| low-cost testing | 0.539995 |
| repeat testing | 0.533061 |
| mothers | 0.422591 |
| multiple sex partners | 0.827949 |
| sexual history | 0.54982 |
| brief overview | 0.538256 |
| depth STD | 0.5645 |
| anonymous partners | 0.516559 |
| risk factors | 0.657153 |
| Annual gonorrhea screening | 0.725297 |
|
| infants | 0.423201 |
| unsafe sex | 0.534621 |
| adolescents | 0.424589 |
| MSM | 0.464073 |
| syphilis | 0.469058 |
| older women | 0.641233 |
| at-risk pregnant women | 0.645639 |
| bisexual men | 0.519158 |
| doctor | 0.425986 |
| regular health care | 0.651666 |
| intervals | 0.425739 |
| shares injection drug | 0.629169 |
| honest conversation | 0.554347 |
| STDs | 0.640047 |
| ages | 0.423755 |
| STD testing | 0.691338 |
| information | 0.423776 |
| hepatitis B screening | 0.57197 |
| important things | 0.553464 |
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Centers for Disease Control and Prevention |
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National Influenza Vaccination Week to be held December 5-11, 2010 |
National Influenza Vaccination Week to be held December 5-11, 2010 - CDC |
| CDC | 0.363794 |
| Human Services | 0.380422 |
| flu activity | 0.611265 |
| NIVW events | 0.380368 |
| U.S. Department | 0.379542 |
| Dr. Anne Schuchat | 0.453781 |
| Assistant Secretary | 0.381231 |
| Disease Control | 0.398504 |
| universal vaccination recommendation | 0.551625 |
| anyone—even healthy people—can | 0.448915 |
| flu vaccination | 0.804221 |
| heart problems | 0.37928 |
| health care professionals | 0.477787 |
| National Center | 0.389462 |
| flu vaccine recommendation | 0.714168 |
| week-long emphasis | 0.393502 |
| CDCs | 0.324109 |
| H1N1 pandemic strain | 0.478008 |
| flu strains | 0.622068 |
| Respiratory Diseases | 0.384488 |
| importance | 0.365561 |
| flu vaccine | 0.925068 |
| certain groups | 0.377578 |
| Immunization Practices | 0.396131 |
| new vaccination recommendation | 0.57646 |
|
| Advisory Committee | 0.388241 |
| public health professionals | 0.478161 |
| M.P.H | 0.319281 |
| National Influenza Vaccination | 0.824864 |
| holiday season | 0.394247 |
| public health | 0.54061 |
| high risk conditions | 0.445953 |
| Health Howard K. | 0.459061 |
| health advocates | 0.400869 |
| kickoff | 0.319089 |
| better health | 0.392419 |
| at-risk audiences | 0.380656 |
| families | 0.328338 |
| influenza vaccination | 0.868534 |
| flu | 0.927385 |
| local public health | 0.460696 |
| Surgeon General | 0.383544 |
| flu shot | 0.579219 |
| Public Health Service | 0.467906 |
| older adults | 0.389909 |
| close contacts | 0.380476 |
| flu season | 0.597607 |
| traditional winter peak | 0.46374 |
| dedicated flu website | 0.64368 |
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Centers for Disease Control and Prevention |
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Diabetes and Asian Americans |
null |
| major risk factor | 0.629287 |
| Body weight | 0.535499 |
| At-Risk Weight Charts | 0.609159 |
| type | 0.530071 |
| number | 0.425389 |
| ethnic/racial groups | 0.53896 |
| sight | 0.423481 |
| 24.9 | 0.421024 |
| health conditions | 0.521653 |
| Facebook | 0.424961 |
| health professionals | 0.519885 |
| extra body fat | 0.757345 |
| body mass index | 0.623778 |
| patients | 0.421756 |
| National Diabetes Statistics | 0.720057 |
| normal weight range | 0.615037 |
| Asian Americans | 0.782388 |
| CDCDiabetes | 0.421802 |
| belly | 0.42255 |
| Healthy Weight | 0.516372 |
| Spotlights | 0.425126 |
| adults | 0.421773 |
| skin | 0.424043 |
| Twitter | 0.424677 |
| Nationwide | 0.426474 |
|
| Asian descent | 0.530681 |
| heart disease | 0.525972 |
| muscle | 0.422829 |
| blood sugar test | 0.614013 |
| Features | 0.422036 |
| CDC Diabetes | 0.641612 |
| visceral fat | 0.983054 |
| overweight | 0.485836 |
| BMI | 0.594365 |
| organs | 0.421969 |
| lower weight | 0.527175 |
| excess visceral fat | 0.840156 |
| Everybody | 0.424364 |
| risk factor | 0.641519 |
| people | 0.494802 |
| BMI Calculator | 0.572407 |
| younger age | 0.531805 |
| doctor | 0.421727 |
| Researchers | 0.42083 |
| high blood pressure | 0.616919 |
| Asian heritage | 0.516266 |
| certain processes | 0.524635 |
| inch | 0.424076 |
| diabetes | 0.823319 |
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