| 1007 |
Centers for Disease Control and Prevention |
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Drinking and Driving: A Threat to Everyone - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| sobriety checkpoints | 0.563902 |
| RF Munoz | 0.470721 |
| social problems | 0.468341 |
| Risk Factor Surveillance | 0.624828 |
| binge drinking | 0.735921 |
| risky drinking patterns | 0.657353 |
| drunk driver | 0.4634 |
| inexperienced drivers | 0.476569 |
| minimum legal drinking | 0.928972 |
| driving episodes | 0.496427 |
| family members | 0.466715 |
| alcohol-impaired driving | 0.506922 |
| legal drinking age | 0.919368 |
| crash deaths | 0.55347 |
| Alcohol-impaired drivers* | 0.49802 |
| seat belt laws | 0.67089 |
| Help patients | 0.466104 |
| alcohol concentration level | 0.554021 |
| Seat belts | 0.501608 |
| Set policies | 0.467427 |
| re-arrest rates | 0.470908 |
| state laws | 0.478515 |
| Pass primary enforcement | 0.520011 |
| primary enforcement seat | 0.67634 |
| U.S. adult population | 0.532142 |
|
| Behavioral Risk Factor | 0.625139 |
| request counseling | 0.467453 |
| United States | 0.475654 |
| personal vehicle | 0.46618 |
| WR Miller | 0.472512 |
| ignition interlocks | 0.561018 |
| car crashes | 0.46877 |
| adult drivers | 0.478921 |
| Young men ages | 0.534307 |
| blood alcohol concentration | 0.664987 |
| Traffic Safety Administration | 0.528456 |
| short period | 0.472343 |
| 50 states | 0.469994 |
| brief intervention—a | 0.465822 |
| health promotion programs | 0.521603 |
| alcohol taxes—to | 0.480316 |
| CDC Behavioral Risk | 0.626157 |
| Routinely screen patients | 0.521953 |
| work purposes | 0.463399 |
| drinking age laws | 0.783417 |
| New Mexico | 0.469853 |
| enforcement seat belt | 0.675597 |
| blood alcohol concentrations | 0.55519 |
| binge drinking—such | 0.493292 |
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| 5351 |
Centers for Disease Control and Prevention |
Html |
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Emergency Water Supplies |
Information on preparing for public health emergencies from the Centers for Disease Control and Prevention (CDC). Get a kit, make a plan, and be informed. |
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CLICK HERE |
| 6953 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012:11_0260 |
Preventable hospitalization for congestive heart failure (CHF) is believed to capture the failure of the outpatient health care system to properly manage and treat CHF. In anticipation of changes in the national health care system, we report baseline rates of these hospitalizations and describe trends by race over 15 years. |
| youngest age group | 0.42215 |
| data | 0.443683 |
| National Hospital Discharge | 0.504733 |
| blacks | 0.55308 |
| future hospitalizations | 0.485633 |
| whites | 0.490117 |
| national health care | 0.468337 |
| Heart Association Task | 0.426776 |
| white men | 0.427572 |
| preventable CHF hospitalization | 0.551044 |
| congestive heart failure | 0.735546 |
| ambulatory heart failure | 0.41529 |
| higher hospitalization rates | 0.472312 |
| hospital discharge rates | 0.427636 |
| heart failure | 0.962408 |
| higher CHF hospitalization | 0.495773 |
| Affordable Care Act | 0.451076 |
| disease management programs | 0.440414 |
| Eligible hospitalizations | 0.480065 |
| non-Hispanic black men | 0.44416 |
| linear trend | 0.527857 |
| black women | 0.427369 |
| baseline rates | 0.418012 |
| care sensitive conditions | 0.425863 |
|
| national CHF hospitalization | 0.514157 |
| United States | 0.453768 |
| Congest Heart Fail | 0.441659 |
| oldest age groups | 0.424254 |
| Hospital Discharge Survey | 0.50297 |
| avoidable hospitalizations | 0.45979 |
| sex-standardized rates | 0.440469 |
| principal diagnosis codes | 0.415536 |
| younger black men | 0.457003 |
| crude rates | 0.49275 |
| health care | 0.477252 |
| Introduction
Preventable hospitalization | 0.442654 |
| failure disease management | 0.444033 |
| black men | 0.665984 |
| preventable CHF hospitalizations | 0.964449 |
| skilled nursing facility | 0.424263 |
| CHF hospitalization rates | 0.674083 |
| heart failure hospitalization | 0.439897 |
| civilian population estimates | 0.439261 |
| heart failure hospitalizations | 0.5364 |
| significantly higher rates | 0.418965 |
| preventable hospitalizations | 0.597484 |
| heart failure disease | 0.465501 |
| et al | 0.420264 |
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| 9633 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Table C2.2 Current Asthma Prevalence Rate (Number) by Sex and State or Territory |
BRFSS 2008 - Table C2.2 Current Asthma Prevalence Rate (Number) by Sex and State or Territory |
| normal approximation | 0.672612 |
| values | 0.373559 |
| standard error | 0.638536 |
| **U.S. Total | 0.623005 |
| *CI | 0.362376 |
| territories | 0.394316 |
| confidence interval | 0.9768 |
|
| small sample size | 0.795035 |
| caution | 0.405808 |
| District | 0.35681 |
| Notes | 0.36255 |
| binomial distribution | 0.663302 |
| 50 states | 0.598165 |
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| 10497 |
Centers for Disease Control and Prevention |
Html |
en |
Conference Call January 23, 2014'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. |
| Microsoft PowerPoint file | 0.526323 |
| COCA Partners | 0.571781 |
| critical care | 0.601328 |
| Microsoft Word file | 0.529287 |
| CDC Flu Activity | 0.607495 |
| COCA conference | 0.549974 |
| severe influenza | 0.538584 |
| CDC Seasonal Influenza | 0.64144 |
| 2013-14 Influenza Season | 0.600462 |
| Acute Care Surgery | 0.528938 |
| Nursing Perspective Ebola | 0.547063 |
| Communication Activity | 0.533033 |
| COCA Digest | 0.55868 |
| intensive care unit | 0.61058 |
| health care providers | 0.540232 |
| Influenza Season Activity | 0.646675 |
| Critical Care Medicine | 0.53039 |
| Zika Virus | 0.951163 |
| page options Skip | 0.544555 |
| review CDC recommendations | 0.565411 |
| different file formats | 0.525519 |
| Influenza Antiviral Drugs | 0.587379 |
| Flu Activity | 0.670828 |
| Influenza Division | 0.548286 |
|
| Annual influenza vaccination | 0.584481 |
| Opioid Series | 0.898091 |
| Older Adult Influenza | 0.605438 |
| COCA Mailing List | 0.599533 |
| COCA Calls/Webinars Calls/Webinars | 0.647799 |
| CDC A-Z | 0.549109 |
| critical care physicians | 0.528281 |
| East Respiratory Syndrome | 0.709499 |
| 2017-2018 Flu Season | 0.564496 |
| CDC Health Alert | 0.577039 |
| COCA Newsletters COCA | 0.706841 |
| Pediatric Influenza | 0.563706 |
| Search Form Controls | 0.65146 |
| Surgical Critical Care | 0.530794 |
| Middle East | 0.567957 |
| HIV Care Continuum | 0.528181 |
| Opioid Overdose | 0.547021 |
| influenza season | 0.689091 |
| Search Controls | 0.54429 |
| Pediatric Flu Antivirals | 0.545589 |
| Public Health Preparedness | 0.589614 |
| Primary Care Providers | 0.541005 |
| COCA continuing education | 0.596785 |
| COCA Learn | 0.56185 |
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| 11794 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: National Teen Driver Safety Week - October19-25, 2014 |
During 2003–2012, the number of teens aged 13–19 years who died in motor vehicle crashes declined by 50%, from 5,718 to 2,823 (1). During the same period, the rate of passenger vehicle drivers aged 16–19 years involved in fatal crashes decreased by 52%, from 35.1 to 16. |
| Smith GS | 0.533276 |
| fatal crash rates | 0.662856 |
| Human Services | 0.624773 |
| greater participation | 0.53183 |
| MMWR HTML versions | 0.637636 |
| U.S. Department | 0.621893 |
| Teen Driver Safety | 0.913135 |
| electronic PDF version | 0.626007 |
| youngest drivers | 0.554873 |
| Key campaign website | 0.650419 |
| teen crash deaths | 0.723987 |
| high-risk conditions | 0.542111 |
| Inj Prev | 0.559227 |
| Additional information | 0.533617 |
| crash risk | 0.55202 |
| Contact GPO | 0.551878 |
| good role models | 0.660492 |
| commercial sources | 0.529209 |
| current prices | 0.526309 |
| teen drivers | 0.704018 |
| original paper copy | 0.63186 |
| encouraging trends | 0.539171 |
| seat belts | 0.53761 |
| parents | 0.485292 |
|
| Coben JH | 0.550771 |
| passenger vehicle crashes | 0.724806 |
| U.S. Government Printing | 0.637804 |
| original MMWR paper | 0.633453 |
| learning-to-drive process | 0.537073 |
| teens | 0.469411 |
| longer practice periods | 0.644601 |
| driver licensing | 0.655789 |
| parent-teen driving agreement | 0.655352 |
| MMWR readers | 0.535831 |
| character translation | 0.523403 |
| GDL programs | 0.710232 |
| Traffic Safety Administration | 0.649109 |
| National Teen Driver | 0.913244 |
| format errors | 0.523552 |
| fatal crashes | 0.620548 |
| passenger vehicle drivers | 0.706129 |
| typeset documents | 0.530096 |
| trade names | 0.529293 |
| official text | 0.522022 |
| seat belt | 0.537361 |
| non-CDC sites | 0.528375 |
| motor vehicle crashes | 0.992599 |
| electronic conversions | 0.520909 |
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| 13360 |
Centers for Disease Control and Prevention |
Html |
en |
Improving Health and Quality of Life After Cancer |
At least one-third of the more than 14 million survivors in the United States face physical, mental, social, job, or financial problems related to their cancer experience. Learn what can be done. |
| Li C. Current | 0.500521 |
| adult cancer survivors | 0.661382 |
| cancer treatment | 0.53651 |
| emotional distress | 0.455112 |
| treatment ends | 0.459412 |
| work-related concerns | 0.468573 |
| money problems | 0.457264 |
| National Health Interview | 0.519108 |
| Forsythe LP | 0.459501 |
| employee assistance programs | 0.499683 |
| Guy GP Jr | 0.492771 |
| Unhealthy behaviors | 0.462791 |
| mental health screening | 0.538417 |
| Recent research | 0.457944 |
| Genetic factors | 0.459125 |
| health care providers | 0.591751 |
| mental health problems | 0.547019 |
| family members | 0.465196 |
| ovarian cancer | 0.500482 |
| social workers | 0.457146 |
| poorer quality | 0.460776 |
| mental health concerns | 0.782519 |
| cancer survivors | 0.997365 |
| Cancer Epidemiology | 0.527802 |
| physical concerns | 0.485197 |
|
| Behavioral Risk Factor | 0.493499 |
| hereditary breast | 0.456429 |
| unused paid time | 0.49668 |
| financial problems | 0.468619 |
| United States | 0.465419 |
| cancer experience | 0.541972 |
| non-traditional work schedule | 0.503166 |
| physical health problems.3 | 0.526796 |
| social support services | 0.503533 |
| physical health-related quality | 0.503047 |
| cancer screenings | 0.499076 |
| Yabroff KR | 0.508714 |
| patient navigators | 0.455935 |
| Rowland JH | 0.455201 |
| professional counseling | 0.457145 |
| Lynch syndrome | 0.458795 |
| healthy weight | 0.458558 |
| support groups | 0.456926 |
| medical care | 0.459909 |
| physical activity | 0.464793 |
| survivor Sharon McKenna | 0.492892 |
| follow-up care—routine checkups | 0.514245 |
| new cancer | 0.508809 |
| cancer history | 0.493022 |
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| 13536 |
Centers for Disease Control and Prevention |
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Body Mass Index and Poor Self-Rated Health in 49 Low-Incomeand Middle-Income Countries, By Sex, 2002&ndash2004 |
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. |
| Public Health | 0.266342 |
| educational attainment | 0.303401 |
| high-income countries | 0.255846 |
| BMI misclassification | 0.281844 |
| body image problems | 0.256432 |
| poor health | 0.283957 |
| Self-rated general health | 0.295933 |
| body weight | 0.264078 |
| sexes | 0.26128 |
| multivariable adjusted regression | 0.25737 |
| primary school | 0.256783 |
| Figure. Sex-specific associations | 0.260003 |
| UCLA Fielding School | 0.254505 |
| high BMI | 0.372972 |
| World Health Survey | 0.4561 |
| 5-point Likert scale | 0.262877 |
| cross-sectional World Health | 0.290964 |
| marital status | 0.262046 |
| smoking status | 0.258707 |
| ideal body types | 0.256082 |
| global health data | 0.278223 |
| secondary school | 0.261433 |
| excess weight | 0.296522 |
|
| sex differences | 0.267188 |
| BMI | 0.468763 |
| obese class | 0.261226 |
| health promotion programs | 0.287325 |
| Health Survey data | 0.28699 |
| middle-income countries | 0.806883 |
| World Health Organization | 0.289492 |
| Health Policy Research | 0.275687 |
| good health | 0.257799 |
| body mass index | 0.391036 |
| U-shaped associations | 0.2602 |
| self-related health | 0.277249 |
| multilevel logistic regressions | 0.331335 |
| Onyebuchi A. Arah | 0.255206 |
| immune deficiency syndrome | 0.254182 |
| poor self-rated health | 0.913551 |
| Charles E. Young | 0.254884 |
| objective health | 0.261743 |
| human immunodeficiency virus | 0.253918 |
| low-income countries | 0.582559 |
| Los Angeles | 0.313265 |
| self-reported height | 0.26419 |
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CLICK HERE |
| 13755 |
Centers for Disease Control and Prevention |
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Bring Your Own Brave Campaign - Genetic Counselor (1024W x 512H) |
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CLICK HERE |
| 13843 |
Centers for Disease Control and Prevention |
Html |
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National Prematurity Awareness Month | CDC Features |
Learn more about premature birth, risk factors, and what you can do. |
| preterm birth | 0.975767 |
| Intelligence Service Officers | 0.60431 |
| young women | 0.571843 |
| state-based perinatal quality | 0.703512 |
| non-Hispanic black women | 0.633503 |
| perinatal care providers | 0.622306 |
| multiple births | 0.560591 |
| national public health | 0.63597 |
| state health departments | 0.620161 |
| preterm-related causes | 0.564747 |
| breathing issues | 0.562974 |
| preterm birth include— | 0.787188 |
| risk factors | 0.667495 |
| single embryo transfer | 0.606468 |
| MCH Epidemiology assignees | 0.619676 |
| lower performance | 0.560883 |
| Territorial Epidemiology fellows | 0.615539 |
| preterm births | 0.723776 |
| public health practice | 0.620474 |
| developmental delay | 0.561182 |
| Prematurity Campaign | 0.563461 |
| United States | 0.631766 |
| Reproductive Health | 0.570855 |
| evidence-based clinical practices | 0.605236 |
|
| Important growth | 0.571815 |
| developmental milestones | 0.560907 |
| fewer teens | 0.560708 |
| Healthy Babies Initiative | 0.61424 |
| unintended pregnancies | 0.572143 |
| premature birth | 0.601781 |
| territorial organizations | 0.563517 |
| preterm birth rates | 0.796468 |
| public health professionals | 0.624486 |
| perinatal quality collaboratives | 0.784363 |
| public health | 0.712019 |
| preterm delivery | 0.702713 |
| health care | 0.575029 |
| CDC research | 0.58039 |
| Health Epidemiology Program | 0.625018 |
| continuous quality improvement | 0.602521 |
| Long-term problems | 0.5611 |
| MCH Council | 0.564689 |
| Territorial Health Officials | 0.621581 |
| infant deaths | 0.561802 |
| preterm birth rate | 0.798481 |
| public health programs | 0.622847 |
| birth defects | 0.579384 |
| child health epidemiologic | 0.621932 |
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