| 1053 |
Centers for Disease Control and Prevention |
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Vital Signs: Births to Teens Aged 15-17 Years - UnitedStates, 1991-2012 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| sexually experienced female | 0.510685 |
| effective contraceptive methods | 0.509047 |
| effective reversible methods | 0.492986 |
| never-married female teens | 0.584286 |
| effective method | 0.501551 |
| birth control methods | 0.499938 |
| clinical birth control | 0.620089 |
| birth rate | 0.543616 |
| failure rate | 0.478306 |
| sexually active females | 0.493297 |
| effective reversible contraceptive | 0.482799 |
| younger teens | 0.613531 |
| younger female teens | 0.594497 |
| older teens | 0.519677 |
| National Vital Statistics | 0.487855 |
| births | 0.595097 |
| reproductive health-care services | 0.481111 |
| younger teens exposure | 0.544653 |
| female teens | 0.842644 |
| birth control | 0.824327 |
| active younger teens | 0.53021 |
| prevention opportunities | 0.471641 |
| experienced female teens | 0.610501 |
| teen births | 0.470318 |
| effective methods | 0.501042 |
|
| United States | 0.49004 |
| methods | 0.512581 |
| age group | 0.48958 |
| formal sex education | 0.898452 |
| shows birth rates | 0.47649 |
| teens | 0.944778 |
| U.S. teen birth | 0.490337 |
| sexual initiation | 0.482659 |
| sexually active teens | 0.556986 |
| non-Hispanic blacks | 0.504295 |
| Family Growth | 0.473494 |
| non-Hispanic whites | 0.47516 |
| National Survey | 0.470914 |
| active female teens | 0.542513 |
| American Indians/Alaska Natives | 0.581678 |
| sexual health education | 0.491926 |
| teen birth rate | 0.498517 |
| CI | 0.49744 |
| effective birth control | 0.49994 |
| health | 0.496404 |
| birth control services | 0.614749 |
| females teens | 0.510745 |
| New Hampshire | 0.472674 |
| fewer young teens | 0.525227 |
|
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| 4843 |
Centers for Disease Control and Prevention |
Html |
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Winter Weather |
Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems. |
| temperatures | 0.458116 |
| winter storms | 0.788413 |
| stages | 0.371516 |
|
| challenge | 0.397336 |
| winter storm | 0.722421 |
|
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Centers for Disease Control and Prevention |
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Conjunctivitis: Diagnosis |
Viral conjunctivitis can usually be diagnosed from the typical signs and symptoms. Bacterial conjunctivitis can be diagnosed by a healthcare provider from the typical symptoms. |
| bacterium | 0.499313 |
| allergen | 0.512209 |
| infection | 0.472144 |
| Español | 0.523204 |
| professional diagnose | 0.770208 |
| cause | 0.970959 |
| Page | 0.467042 |
| conjunctivitis | 0.798932 |
| matter | 0.472729 |
| patient history | 0.765722 |
| virus | 0.578176 |
|
| eye | 0.750511 |
| symptoms | 0.721928 |
| doctor | 0.475791 |
| firm diagnosis | 0.725867 |
| infected eye | 0.686666 |
| healthcare provider | 0.691338 |
| examination | 0.481731 |
| eye discharge | 0.686062 |
| Diagnóstico | 0.480698 |
| redness | 0.469674 |
| pink eye | 0.727724 |
|
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| 9476 |
Centers for Disease Control and Prevention |
Html |
es |
Lecciones aprendidas de un esfuerzo de colaboración para mejorar la atención médica de pacientes con diabetes en 17 centros de salud comunitarios, Massachusetts, 2006 |
null |
| altos directivos | 0.313859 |
| Diabetes Educ | 0.300816 |
| health insurance | 0.301361 |
| health professions education | 0.301058 |
| pacientes pruebas | 0.301817 |
| quality improvement collaboratives | 0.300803 |
| health services research | 0.300999 |
| quality improvement | 0.301991 |
| auxiliares médicos | 0.302084 |
| diabetes fact sheet | 0.301021 |
| Kirchhoff AC | 0.300998 |
| health insurance coverage | 0.300962 |
| auxiliar médico | 0.301137 |
| Chin MH | 0.302082 |
| Improving diabetes care | 0.301256 |
| Massachusetts Health Insurance | 0.301233 |
| Ambul Care Manage | 0.300861 |
| Estados Unidos | 0.300943 |
| Rimington A | 0.300948 |
| Med Care | 0.301302 |
| salud comunitarios participantes | 0.31046 |
| Colaboración Nacional | 0.301724 |
| colaboración quizás | 0.301529 |
| ciclos phra | 0.313567 |
| Midwest community health | 0.301004 |
|
| autocontrol gracias | 0.300914 |
| Keegan T | 0.300966 |
| Sustaining quality improvement | 0.300719 |
| Jt Comm | 0.301069 |
| chronic care model | 0.302117 |
| salud comunitarios oportunidades | 0.303642 |
| elementos facilitadores | 0.302488 |
| Guillen M | 0.300998 |
| diabetes care | 0.303938 |
| Salud Pública | 0.302623 |
| sustaining diabetes care | 0.301286 |
| Massachusetts Medical School | 0.300875 |
| Health Resources | 0.300739 |
| futuros esfuerzos | 0.302729 |
| acuerdo intercodificador | 0.302736 |
| health disparities collaboratives | 0.306623 |
| Drum ML | 0.301012 |
| O’Malley AJ | 0.301017 |
| rural primary care | 0.300813 |
| Massachusetts League | 0.30083 |
| diabetes health disparities | 0.301425 |
| community health centers | 0.314248 |
| mejores resultados | 0.302075 |
| salud comunitarios | 0.999464 |
|
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Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Accelerated Weight Gain Among Children During Summer Versus School Year and Related Racial/Ethnic Disparities: A Systematic Review - CDC |
The objective of this study was to compile and summarize research examining variations in weight gain among students during the summer in comparison to the school year, with a focus on racial/ethnic disparities and students who are at risk of overweight. |
| BMI increase | 0.384243 |
| summer break | 0.402114 |
| racial/ethnic minority children | 0.379352 |
| ideal body weight | 0.394828 |
| longitudinal study | 0.447779 |
| 85th BMI percentile | 0.384845 |
| obesity prevention programs | 0.380633 |
| health disparities | 0.386928 |
| children | 0.579306 |
| school | 0.528559 |
| summer weight gain | 0.840924 |
| BMI z scores | 0.462376 |
| obesity prevention | 0.396765 |
| elementary school children | 0.376924 |
| school children | 0.399003 |
| growth patterns | 0.417795 |
| school-based obesity prevention | 0.379309 |
| overweight children | 0.444437 |
| BMI z score | 0.553024 |
| body mass index | 0.445685 |
| representative longitudinal study | 0.37944 |
| 5-year longitudinal study | 0.412807 |
| overweight students | 0.377273 |
| accelerated summer weight | 0.460074 |
| out-of-school time | 0.392781 |
|
| summer school vacation | 0.415083 |
| summer food programs | 0.405419 |
| summer camps | 0.394585 |
| unhealthy summer weight | 0.400152 |
| American Indian schoolchildren | 0.397396 |
| summer achievement slide | 0.463922 |
| study | 0.476357 |
| United States | 0.462509 |
| student BMI | 0.387549 |
| weight gain | 0.958531 |
| differences | 0.384968 |
| obese children | 0.407731 |
| Childhood Longitudinal Study | 0.382006 |
| American Indian children | 0.449729 |
| weight status | 0.503883 |
| studies | 0.506509 |
| child weight gain | 0.398841 |
| Summer Activity Study | 0.386009 |
| Indian school children | 0.39189 |
| physical activity | 0.451656 |
| summer vacation | 0.610082 |
| vacation weight gain | 0.404982 |
| et al | 0.376966 |
| baseline weight status | 0.397323 |
|
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Data and Statistics | Down Syndrome |
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| red blood cells | 0.548858 |
| younger mothers | 0.452874 |
| American Academy | 0.445819 |
| United States | 0.502279 |
| health care information | 0.482907 |
| financial problems | 0.446697 |
| Iron deficiency anemia | 0.481074 |
| low birth weight. | 0.491988 |
| Pediatrics Health Supervision | 0.480977 |
| African-American infants | 0.467686 |
| average medical care | 0.482847 |
| babies | 0.535129 |
| general population | 0.446934 |
| family member | 0.446389 |
| Obstructive sleep apnea | 0.484366 |
| life | 0.477869 |
| lower chance | 0.447312 |
| Eye issues | 0.446191 |
| time period | 0.448188 |
| certain group | 0.451778 |
| syndrome | 0.782493 |
| children | 0.531651 |
| Hirschsprung disease | 0.445934 |
| total number | 0.452109 |
|
| private insurance | 0.445169 |
| Ear infections | 0.446291 |
| breathing equipment | 0.444877 |
| health care | 0.539715 |
| Read summary | 0.968321 |
| infants | 0.508547 |
| wide variety | 0.448312 |
| Intestinal blockage | 0.448478 |
| heart defect | 0.580379 |
| health care costs | 0.482209 |
| white infants | 0.468812 |
| congenital heart defect | 0.572318 |
| life expectancy | 0.453354 |
| early childhood | 0.444941 |
| syndrome increases | 0.482816 |
| live births | 0.452782 |
| thigh bone | 0.446483 |
| common chromosomal disorder | 0.505444 |
| healthcare provider | 0.448036 |
| normal birth weight | 0.490207 |
| Older mothers | 0.450332 |
| age increases | 0.454929 |
| Eye diseases | 0.446322 |
|
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| 12633 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Latest on Flu |
CDC Director Dr. Tom Frieden talks about the latest data on flu, as well as answers some basic questions including how effective is the seasonal flu vaccine and who (and who shouldn't) get the seasonal flu vaccine.
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://streaming.cdc.gov/vod.php?id=e610f3b1323f11238c06432fefcc4b6020130118112817578 |
| Briefing | 0.973311 |
| Director | 0.513875 |
|
|
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| 13869 |
Centers for Disease Control and Prevention |
Html |
en |
Consumption of Alcoholic Beverages and Liquor Consumption byMichigan High School Students, 2011 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| underage drinking | 0.367784 |
| common type | 0.296027 |
| nonbinge drinkers | 0.450782 |
| binge drinkers | 0.537974 |
| binge drinking | 0.658409 |
| type | 0.358121 |
| youth | 0.319692 |
| alcohol advertising | 0.319705 |
| alcohol interventions | 0.292906 |
| Youth Tobacco Survey | 0.312971 |
| alcohol control policies | 0.322056 |
| Alcohol Use Prevention | 0.304563 |
| alcohol taxes | 0.34573 |
| vodka consumption | 0.310819 |
| alcohol | 0.821993 |
| usual type | 0.344157 |
| alcohol tax policies | 0.306052 |
| energy drinks | 0.578748 |
| Michigan high school | 0.60795 |
| higher blood alcohol | 0.311216 |
| alcohol poisoning | 0.303915 |
| current alcohol | 0.303391 |
| significantly higher prevalence | 0.325183 |
| binge drinking episodes | 0.305822 |
|
| alcohol information | 0.293726 |
| alcoholic beverage | 0.296623 |
| binge drinking intensity | 0.29686 |
| alcohol marketing | 0.336591 |
| usual liquor type | 0.293426 |
| usual alcohol type | 0.33445 |
| United States | 0.315706 |
| frequent alcohol consumption | 0.352246 |
| alcohol consumption | 0.631784 |
| liquor | 0.487976 |
| usual alcohol | 0.334997 |
| higher alcohol concentration | 0.312283 |
| beverage-specific alcohol consumption | 0.512744 |
| public health | 0.305597 |
| alcohol beverage consumption | 0.365686 |
| alcohol outlet density | 0.304821 |
| high school students | 0.99963 |
| alcohol excise taxes | 0.304661 |
| current drinkers | 0.423195 |
| alcohol consumption patterns | 0.336433 |
| liquor consumption | 0.344962 |
| binge drinking prevalence | 0.329437 |
| alcohol intoxication | 0.30394 |
| excessive alcohol consumption | 0.401394 |
|
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Centers for Disease Control and Prevention |
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Adenovirus | Clinical Overview | CDC |
Colorized transmission electron micrograph of adenovirus shown along with clinical identification of adenoviruses. |
| immunologically distinct adenoviruses | 0.918837 |
| respiratory illness | 0.713306 |
| illnesses | 0.392152 |
| objects | 0.335078 |
| Infants | 0.338723 |
| type | 0.333282 |
| frequency | 0.332392 |
| non-enveloped icosohedral viruses | 0.702467 |
| croup | 0.365196 |
| pneumonia | 0.348219 |
| surfaces | 0.338035 |
| immune systems | 0.668444 |
| adenovirus vaccine administration | 0.679708 |
| common disinfectants | 0.512104 |
| adenoviruses | 0.998568 |
| cystitis | 0.348857 |
| doorknobs | 0.363746 |
| acute respiratory illness | 0.668602 |
|
| small lakes | 0.497086 |
| types | 0.336025 |
| adenovirus infection | 0.538426 |
| neurological disease | 0.488465 |
| bronchitis | 0.349561 |
| military recruits | 0.485785 |
| conjunctivitis | 0.34996 |
| swimming pools | 0.502904 |
| people | 0.363724 |
| water | 0.335017 |
| double-stranded DNA | 0.516947 |
| gastroenteritis | 0.35389 |
| high risk | 0.482395 |
| ongoing infections | 0.486893 |
| severe illness | 0.510924 |
| intestines | 0.351382 |
| humans | 0.338209 |
|
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Centers for Disease Control and Prevention |
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Smoking & Tobacco Use | Gay and Bisexual Men's Health | CDC |
Learn more about the harmful effects of smoking, smokeless tobacco, and secondhand smoke. |
| lung diseases | 0.875338 |
| Smokers Campaign | 0.461511 |
| heart attacks | 0.440172 |
| illnesses. People | 0.449035 |
| health threat | 0.490277 |
| chronic obstructive lung | 0.885567 |
| smoking-related illness | 0.556623 |
| general U.S. population | 0.885515 |
| bisexual men | 0.48953 |
| better quality | 0.457434 |
| fewer HIV-related symptoms | 0.832952 |
|
| gay men | 0.492848 |
| pneumonia | 0.31634 |
| heart disease | 0.794814 |
| smoking | 0.821629 |
| high risk | 0.485041 |
| cancer | 0.233101 |
| higher rates | 0.924733 |
| past decade | 0.551565 |
| harmful consequences | 0.497243 |
| long-term benefits | 0.496017 |
|
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