| 6696 |
Centers for Disease Control and Prevention |
Html |
en |
Interventions in small food stores to change the food environment, improve diet, and reduce risk of chronic disease. |
The objective of this study was to identify small-store interventions and to determine their impact on food availability, dietary behaviors, and psychosocial factors that influence chronic disease risk. |
| Healthy Bodegas trial | 0.513849 |
| data | 0.480656 |
| Hoy y Mañana | 0.517832 |
| Baltimore Healthy Stores | 0.899872 |
| Corner Store Initiative | 0.557448 |
| pre-post assessment | 0.480925 |
| small-store interventions | 0.50237 |
| Los Angeles Healthy | 0.504257 |
| Healthy Stores trial | 0.551085 |
| healthy food | 0.662618 |
| Marshall Islands Healthy | 0.53706 |
| intervention strategies | 0.497259 |
| Healthy Eating | 0.555897 |
| healthy food stocking | 0.555341 |
| impact | 0.495523 |
| Islands Healthy Stores | 0.563955 |
| healthy options | 0.501488 |
| Federation Healthy Living | 0.574357 |
| Vida Sana Hoy | 0.615623 |
| chronic disease | 0.485462 |
| Healthy Corner Store | 0.573848 |
| healthy foods | 0.901076 |
| Apache Healthy Stores | 0.631593 |
| healthy food access | 0.542401 |
| Healthy Food Retailer | 0.588576 |
|
| unfamiliar healthy foods | 0.526151 |
| Consumer psychosocial impact | 0.482535 |
| Grocers Federation Healthy | 0.575029 |
| United States | 0.486714 |
| Healthy Living Neighborhood | 0.596259 |
| Living Neighborhood Shop | 0.5323 |
| Zhiwaapenewin Akino’maagewin | 0.497614 |
| Scottish Grocers Federation | 0.505366 |
| Good Neighbors Program | 0.502349 |
| small food stores | 0.564904 |
| Healthier New Orleans | 0.501022 |
| Grocery Store Renovation | 0.504584 |
| consumer | 0.485354 |
| Live Well Colorado | 0.491102 |
| healthy food purchasing | 0.520902 |
| Healthy Foods Hawai’i | 0.574534 |
| small-store intervention trials | 0.523842 |
| Healthy Eating Research | 0.496853 |
| primary reviewers | 0.487795 |
| Healthy Bodegas | 0.527233 |
| trials | 0.760039 |
| comparison group | 0.492525 |
| healthy food availability | 0.545084 |
| Gray literature | 0.490555 |
|
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| 7286 |
Centers for Disease Control and Prevention |
Html |
en |
Hepatitis B FAQs for the Public | Division of ViralHepatitis | CDC |
null |
| immune globulin | 0.348236 |
| acute Hepatitis | 0.558124 |
| entire vaccine series | 0.355186 |
| chronic Hepatitis B. | 0.496498 |
| Hepatitis B vaccination | 0.449593 |
| blood tests | 0.355101 |
| body | 0.391121 |
| newly occurring infection | 0.351167 |
| Hepatitis B cases | 0.478497 |
| Total Hepatitis | 0.43761 |
| children | 0.338956 |
| antibodies | 0.339635 |
| liver damage | 0.353725 |
| antibody | 0.349219 |
| liver disease | 0.356343 |
| contagious liver disease | 0.34707 |
| public health officials | 0.337774 |
| symptoms | 0.356576 |
| health problems | 0.364075 |
| Hepatitis C. | 0.460158 |
| chronic infection | 0.357048 |
| Yes. The Hepatitis | 0.431104 |
| person | 0.35948 |
| long-term liver problems | 0.343549 |
| Hepatitis B treatment | 0.435168 |
|
| new hepatitis | 0.458617 |
| United States | 0.41687 |
| Hepatitis B-related liver | 0.46328 |
| 6-month period | 0.35389 |
| Hepatitis B. | 0.589582 |
| cause hepatitis | 0.459627 |
| acute Hepatitis B. | 0.452154 |
| Hepatitis B vaccine | 0.669171 |
| combination vaccine | 0.339064 |
| hepatitis b virus | 0.774351 |
| viral hepatitis | 0.458784 |
| hepatitis b surface | 0.449105 |
| vaccine series | 0.409334 |
| health | 0.366571 |
| hepatitis | 0.9533 |
| people | 0.444873 |
| blood | 0.381519 |
| virus infection | 0.422639 |
| active Hepatitis | 0.436945 |
| chronic hepatitis | 0.670198 |
| Hepatitis B infection | 0.458305 |
| Hepatitis B Core | 0.444517 |
| Hepatitis B Viral | 0.435834 |
| liver cancer | 0.352068 |
|
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| 9012 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Smoking among Adults with Mental Illness |
CDC Director Dr. Tom Frieden talks about how more people with mental illness smoke than people without mental illness. Specifically, more than 1 in 3 adults with mental illness smoke cigarettes compared with about 1 in 5 adults without mental Illness. About 3 of every 10 cigarettes smoked by adults are smoked by adults with mental illness. Nearly 1 in 5 adults -- 45.7 million people -- have some form of mental illness.
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=9c5ee85879a4af7410ed39f8962790f120130204142120464 |
| Mental Illness | 0.970037 |
| Director | 0.566252 |
|
| Adults | 0.562277 |
| YouTube | 0.848663 |
|
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| 9146 |
Centers for Disease Control and Prevention |
Html |
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School Located Influenza Vaccination Info | Staff |
School-Located Vaccination (SLV) - Planning for Adequate Staff - CDC |
| 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 |
|
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| 10606 |
Centers for Disease Control and Prevention |
Html |
en |
Breast Cancer in Young Women |
Most breast cancers are found in women who are 50 and older, but breast cancer also affects younger women. |
| young women | 0.397948 |
| skin cancer | 0.419857 |
| treatment | 0.323964 |
| CDC | 0.328763 |
| United States | 0.428892 |
| breast cancer diagnosis | 0.636054 |
| body | 0.328548 |
| breast cancers | 0.572414 |
| common cancer | 0.419222 |
| awareness | 0.323185 |
| Division | 0.323349 |
| higher risk | 0.4215 |
|
| disease | 0.328659 |
| young survivors | 0.41977 |
| American women | 0.421892 |
| breast cancer | 0.903754 |
| younger women | 0.42917 |
| health | 0.323071 |
| control | 0.352895 |
| breast cancer survivors | 0.625994 |
| cells | 0.330674 |
| Cancer Prevention | 0.407159 |
| new cases | 0.429509 |
| age | 0.344393 |
|
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| 11043 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Prevalence of Diabetes and Associated Obesity in Pennsylvania Adults, 1995"2010 - CDC |
This study examined trends in the prevalence and sociodemographic distributions of diabetes and the associations of diabetes with obesity over time in adult Pennsylvanians from 1995 through 2010. |
| dominant risk factor | 0.27704 |
| high school | 0.323332 |
| Wald test | 0.359751 |
| data | 0.339892 |
| United States | 0.361699 |
| national prevalence | 0.339921 |
| highest prevalence | 0.290183 |
| BRFSS survey data | 0.242101 |
| Risk Factor Surveillance | 0.39688 |
| percentage points | 0.601148 |
| Community-based diabetes programs | 0.336746 |
| Behavior Risk Factor | 0.243181 |
| BRFSS data | 0.242662 |
| diabetes prevalence | 0.789222 |
| program managers | 0.280655 |
| Pennsylvania Department | 0.233268 |
| gestational diabetes | 0.341979 |
| high school degree | 0.315971 |
| risk differences | 0.238696 |
| logistic regression | 0.273988 |
| obesity prevalence | 0.391671 |
| obesity | 0.44171 |
| borderline diabetes | 0.320227 |
| BRFSS | 0.304008 |
|
| public health | 0.290916 |
| BMI | 0.284509 |
| risk factors | 0.316121 |
| diabetes-related illness | 0.232481 |
| Penn State | 0.232404 |
| Pennsylvania State University | 0.282372 |
| annual income | 0.383224 |
| race | 0.279775 |
| body mass index | 0.267674 |
| sex | 0.236268 |
| public health programs | 0.2709 |
| risk factor | 0.45653 |
| national BRFSS data | 0.237356 |
| Pennsylvania | 0.456152 |
| diabetes risk | 0.326381 |
| Pennsylvania BRFSS | 0.288817 |
| Diabetes Prevention Program | 0.371078 |
| policy makers | 0.280097 |
| Pennsylvania state health | 0.252638 |
| Behavioral Risk Factor | 0.283274 |
| diabetes | 0.939155 |
| M. Diabetes prevalence | 0.458218 |
| Pennsylvania Diabetes Action | 0.366413 |
|
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| 11253 |
Centers for Disease Control and Prevention |
Html |
en |
Enfermedades cardiovasculares: la causa principal de muerte en los hispanos enlos Estados Unidos |
Una encuesta hecha recientemente por los Centros para el Control y la Prevención de Enfermedades encontró que más de una cuarta parte de los hispanos (26.1 %) reportó tener presión arterial alta y casi la tercera parte de los que tienen presión arterial alta (30.4 %) no estaba tomando los medicamentos que podrían reducir su riesgo de ataques cardiacos y accidentes cerebrovasculares. Solo el 40.7 % de los hispanos dijo que tenía la presión arterial bajo control. Los CDC y Million Hearts han creado recursos educativos para ayudar a los hispanos a asumir el control de la salud de su corazón |
| 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 |
| 12349 |
Centers for Disease Control and Prevention |
Html |
en |
Opioid painkillers widely prescribed among reproductive age women |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| opioid prescription rates | 0.642804 |
| Medicaid enrollees | 0.487221 |
| Mortality Weekly Report | 0.48976 |
| CDC’s National | 0.381074 |
| large health insurance | 0.518112 |
| neural tube defects | 0.503247 |
| thorough health assessment | 0.502098 |
| commonly prescribed opioids | 0.55135 |
| private health insurance | 0.700906 |
| pregnant women | 0.410532 |
| Hispanic women | 0.386582 |
| Medicaid data | 0.364586 |
| new information | 0.340493 |
| private insurance | 0.608211 |
| reproductive-aged women | 0.514263 |
| Medicaid-enrolled women | 0.397999 |
| health conditions | 0.47506 |
| health care providers | 0.857052 |
| health care professionals | 0.518113 |
| National Center | 0.461215 |
| health care services | 0.506725 |
| CDC Director Tom | 0.523137 |
| Safer Medication | 0.363491 |
| opioid pain medication | 0.70107 |
| Northeast. Race/ethnicity information | 0.463297 |
|
| Geographic region data | 0.448035 |
| Pregnancy initiative. | 0.348898 |
| better information | 0.345655 |
| specific medications | 0.404922 |
| women | 0.642835 |
| congenital heart defects | 0.511926 |
| private insurance claims | 0.474621 |
| Developmental Disabilities | 0.457593 |
| age group | 0.354449 |
| prescription cough medications | 0.620652 |
| opioid prescription | 0.652627 |
| prescription medications | 0.454696 |
| higher opioid | 0.491764 |
| health care | 0.990811 |
| opioid prescriptions | 0.491403 |
| reproductive age | 0.569946 |
| health insurance plan | 0.511175 |
| unborn child. | 0.348603 |
| CDC researchers | 0.399243 |
| major defects | 0.402199 |
| birth defects | 0.754304 |
| opioid medications | 0.590354 |
| neonatal abstinence syndrome | 0.447214 |
| non-Hispanic white women | 0.529373 |
|
CLICK HERE |
| 13558 |
Centers for Disease Control and Prevention |
Video |
en |
Prenatal Radiation Exposure | Video |
During a radiation emergency, people may be exposed to large amounts of “high energy” radiation – much more than we get from everyday exposure like x-rays. Exposure to large amounts of high energy radiation or “ionizing radiation,” can cause harmful health effects in people. A developing fetus is especially sensitive to radiation exposure, particularly in the early stages of pregnancy. Other videos focused on possible health effects of radiation emergencies can be found here:
http://emergency.cdc.gov/radiation/protectiveactions.asp
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/wcms/videos/low-res/NCEH/2015/prenatal_radiation_exposure_922308.mp4 |
| Prenatal Radiation Exposure | 0.992873 |
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|
CLICK HERE |
| 14630 |
Centers for Disease Control and Prevention |
Html |
en |
Results | YRBSS | Data | Adolescent and School Health | CDC |
Youth Risk Behavior Surveillance System (YRBSS) Methods |
| PowerPoint® presentation | 0.381363 |
| Grades | 0.350683 |
| Sexual Contacts | 0.52844 |
| United States | 0.722993 |
| national trends | 0.375944 |
| RR-01 | 0.313792 |
| Risk Behavior Surveillance—United | 0.439085 |
| national prevalence | 0.37954 |
| fact sheets | 0.373416 |
| HTML | 0.374339 |
| 1-20 | 0.313785 |
| overall response rate | 0.552551 |
| example | 0.326167 |
| race/ethnicity | 0.314693 |
| tables | 0.326901 |
| PDF | 0.381292 |
| present information | 0.373376 |
| Selected Sites | 0.459626 |
| Sexual Identity | 0.528733 |
| KB | 0.314615 |
| Youth Risk Behavior | 0.927532 |
| Health-Risk Behaviors | 0.397216 |
| national YRBS data | 0.524793 |
|
| local medians | 0.387173 |
| results | 0.314757 |
| table | 0.329459 |
| Release | 0.313562 |
| MMWR | 0.483586 |
| erratum | 0.314775 |
| following links | 0.439051 |
| YRBSS | 0.314764 |
| state YRBS data | 0.430304 |
| Sites—Youth Risk Behavior | 0.436167 |
| percentages | 0.315343 |
| SS-9 | 0.333273 |
| high school students | 0.666823 |
| SS-6 | 0.331864 |
| certain risk behaviors | 0.447364 |
| school health policies | 0.430218 |
| *Districts | 0.313576 |
| Health-Related Behaviors | 0.482722 |
| state maps | 0.378924 |
| district YRBS data | 0.427165 |
| grade | 0.314704 |
| Risk Behavior Surveillance | 0.881942 |
| 3M | 0.337732 |
|
CLICK HERE |