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CDC Report Finds Gay, Lesbian and Bisexual Students At Greater Risk for Unhealthy, Unsafe Behaviors - Press Release: June 6, 2011 |
CDC Report Finds Gay, Lesbian and Bisexual Students At Greater Risk for Unhealthy, Unsafe Behaviors |
| health education | 0.255435 |
| Evaluation Research Branch | 0.329324 |
| suicidal behaviors | 0.473861 |
| Mortality Weekly Report | 0.353224 |
| sexual orientation | 0.291493 |
| risk behaviors | 0.906664 |
| higher prevalence rates | 0.568887 |
| health risk behaviors | 0.738625 |
| New York City | 0.351046 |
| unintentional injuries | 0.357722 |
| San Diego | 0.235026 |
| Risk Behavior Survey | 0.350083 |
| Disease Control | 0.251983 |
| health risk categories | 0.564815 |
| urban school districts | 0.560968 |
| sexual contact | 0.483664 |
| federal government | 0.239003 |
| Youth Risk Behavior | 0.559166 |
| bisexual students | 0.267499 |
| heterosexual students | 0.299578 |
| sexual identity | 0.568768 |
| opposite sex | 0.385865 |
| better job | 0.25064 |
| weight management | 0.353063 |
| youth experience | 0.256337 |
|
| unhealthy risk behaviors | 0.646902 |
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| dramatic disparities | 0.24001 |
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| different health risks | 0.401983 |
| higher rates | 0.343555 |
| sexual risk behaviors | 0.675098 |
| large urban school | 0.755455 |
| additional stressors | 0.254507 |
| United States | 0.345613 |
| adolescent health | 0.288281 |
| sexual behaviors | 0.628359 |
| urban school districts—Boston | 0.36143 |
| young people | 0.371206 |
| health services | 0.253717 |
| Selected Sites—Youth Risk | 0.369487 |
| high school students | 0.562771 |
| wide array | 0.233045 |
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| sexual contacts | 0.448363 |
| School Health | 0.297858 |
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| lesbian students | 0.354654 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Ten Years of Preventing ChronicDisease - CDC |
Ten years are a blink. Ten years are a lifetime. It has been 10 years since the first issue of Preventing Chronic Disease: Public Health Research, Practice, and Policy (PCD). |
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| online journal | 0.521807 |
| PCD app | 0.65791 |
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| African American Health | 0.658329 |
| Border Health Strategic | 0.655522 |
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| PCD | 0.798869 |
| prevention research | 0.532102 |
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| ongoing public health | 0.679289 |
| PCD’s premise | 0.67123 |
|
| Public Health Research | 0.759891 |
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| racial/ethnic minority populations | 0.578727 |
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| health practitioners | 0.608387 |
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| community-based participatory research | 0.6015 |
| public health | 0.935208 |
| Georgia State University | 0.567799 |
| research methods | 0.519997 |
| international journal | 0.524612 |
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| PCD articles | 0.68088 |
| medical education credits | 0.570593 |
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| annual student paper | 0.568176 |
| chronic conditions | 0.553677 |
| multisectorial approaches | 0.50664 |
| qualitative semistructured interviews | 0.5851 |
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| policy makers | 0.507457 |
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Centers for Disease Control and Prevention |
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Human Immunodeficiency Virus (HIV) Disease Death Rates* Among Men Aged 25-54 Years, by Race and Age Group - National Vital Statistics System, United States, 2000-2010 |
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. |
| mmwrq@cdc.gov. | 0.405318 |
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| period | 0.332903 |
| shows human immunodeficiency | 0.48537 |
| Contact GPO | 0.407055 |
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| original MMWR paper | 0.459391 |
| Superintendent | 0.317269 |
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|
| title | 0.317144 |
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| times | 0.332791 |
| file | 0.318317 |
| Persons | 0.318382 |
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| official text | 0.386263 |
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| non-CDC sites | 0.391421 |
| References | 0.315518 |
| report | 0.317131 |
| organizations | 0.315418 |
| information | 0.318331 |
| Accommodation | 0.317157 |
| electronic conversions | 0.386726 |
| printable versions | 0.384257 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Trends in Trans Fatty Acids Reformulations of US Supermarket and Brand-Name Foods From 2007 Through 2011 - CDC |
Although some US food manufacturers have reduced trans fatty acids (TFA) in their products, it is unknown how much TFA is being reduced, whether pace of reformulation has changed over time, or whether reformulations vary by food type or manufacturer. |
| 0.5 or more g per serving TFA at | 0.642159 |
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| foods | 0.452286 |
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| new products | 0.456727 |
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| total TFA | 0.592473 |
| TFA % change | 0.58543 |
| muffin products | 0.450477 |
| average TFA content | 0.695067 |
| major brand-name products | 0.480832 |
| products | 0.590358 |
| TFA-containing products | 0.46715 |
| TFA % changed,e64.6 | 0.581756 |
| supermarket food products | 0.489996 |
| corresponding TFA content | 0.645536 |
| ruminant TFA | 0.58861 |
| food manufacturers | 0.457703 |
| mean TFA content | 0.744463 |
|
| TFA % changed,e−78.4 | 0.583167 |
| major national products | 0.475359 |
| theoretical average TFA | 0.606809 |
| popcorn products | 0.459652 |
| total combined TFA | 0.607778 |
| TFA reformulation efforts | 0.6088 |
| brand-name food products | 0.470162 |
| TFA intake | 0.591077 |
| Pepperidge Farm | 0.455942 |
| average TFA | 0.714154 |
| average TFA reduction | 0.618484 |
| industrially produced TFA | 0.632027 |
| Betty Crocker | 0.47708 |
| TFA content | 0.939921 |
| blood TFA levels | 0.633479 |
| TFA reformulation | 0.625836 |
| food categories | 0.500524 |
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| TFA reformulations | 0.62999 |
| actual TFA contents | 0.614046 |
| TFA change | 0.643946 |
| TFA contents | 0.653914 |
| dairy products | 0.450466 |
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Creación de incentivos para mejorar la salud poblacional |
null |
| programa head start | 0.651374 |
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| 4th ave s | 0.653651 |
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| Asch DA | 0.591107 |
| Salud Pública | 0.74537 |
| diabetes tipo | 0.601921 |
| variable dependiente | 0.604752 |
|
| creciente sentido | 0.597488 |
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| Learning from | 0.592152 |
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Flu Partner Success Story: Fort Wayne-Allen County Department of Health |
Partnership success stories, Fort Wayne-Allen County Department of Health, “I Did It for You” - CDC |
| healthcare providers | 0.342447 |
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|
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| Wayne-Allen County Department | 0.640212 |
| flu vaccinations | 0.386718 |
| radio PSA | 0.234342 |
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| radio spots | 0.220527 |
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Cluster of Ebola Cases Among Liberian and U.S. Health Care Workers in an Ebola Treatment Unit and Adjacent Hospital - Liberia, 2014 |
Joseph D. Forrester, MD1, Jennifer C. Hunter, DrPH1, Satish K. |
| undiagnosed Ebola | 0.415376 |
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|
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| HCW cluster | 0.286115 |
| Joseph D. Forrester | 0.33063 |
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Behind the Scenes: Emergency Operations Center |
Take a look behind-the-scenes at the command center and staff responsible for coordinating emergency response to domestic and
international public health threats. Since 2001, CDC has responded to dozens of events and incidents including the Anthrax attacks, Hurricane Katrina and SARS, Monkeypox, E. coli, and Novel H1N1 Flu outbreaks.
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/ |
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| Emergency Operations | 0.707045 |
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Tools for Successful CHI Efforts - CHI Nav - CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
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|
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Burden of TB in the United States | Features | CDC |
Increase in Reported TB Cases in 2015 |
| overall TB case | 0.414344 |
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| CDC TB Website | 0.387554 |
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|
| TB | 0.956726 |
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| TB case rates | 0.414421 |
| tb cases | 0.563166 |
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| TB germs | 0.38845 |
| TB infection | 0.88461 |
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