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Vital Signs: Communication Between Health Professionals andTheir Patients About Alcohol Use - 44 States and the District ofColumbia, 2011 |
On January 7, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| health insurance | 0.53806 |
| binge drinkers | 0.803446 |
| state-level prevalence estimates | 0.480862 |
| Risk Factor Surveillance | 0.481221 |
| binge drinking | 0.853213 |
| ASBI implementation | 0.522729 |
| alcohol SBI services.†††| 0.49454 |
| state prevalence estimates | 0.525476 |
| overall mean prevalence | 0.518651 |
| Alcohol Abuse | 0.478139 |
| Preventive Services Task | 0.575822 |
| health insurance coverage | 0.519876 |
| alcohol | 0.976334 |
| health professionals | 0.533878 |
| alcohol intervention | 0.465602 |
| insurance plans.*** ASBI | 0.49216 |
| adult binge drinkers | 0.556781 |
| alcohol consumption guidelines | 0.524792 |
| ASBI clinical guidelines | 0.52361 |
| Affordable Care Act | 0.566352 |
| middle southern states | 0.483105 |
| alcohol screening | 0.60942 |
| significantly higher prevalence | 0.473419 |
| binge drinking episodes | 0.552431 |
| U.S. adult binge | 0.530337 |
|
| Weighted prevalence estimates | 0.465741 |
| weighted prevalence | 0.50199 |
| adults.¶ ASBI | 0.467002 |
| Behavioral Risk Factor | 0.4807 |
| U.S. Preventive Services | 0.511624 |
| alcohol misuse screening | 0.633759 |
| alcohol use disorder | 0.477342 |
| weekly alcohol consumption | 0.530466 |
| alcohol consumption | 0.777329 |
| prevalence estimates | 0.616174 |
| states | 0.48849 |
| excessive alcohol | 0.77716 |
| clinical preventive services | 0.564122 |
| health insurance plans | 0.480217 |
| ASBI | 0.623531 |
| U.S. adults | 0.803508 |
| health | 0.839525 |
| Services Task Force | 0.576513 |
| electronic health records | 0.523454 |
| alcohol spectrum disorders | 0.519145 |
| current drinkers | 0.468629 |
| binge-level alcohol consumption | 0.533155 |
| preventive services | 0.674342 |
| excessive alcohol consumption | 0.553831 |
|
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Centers for Disease Control and Prevention |
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FASD - Alcohol Use in Pregnancy |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| CDC | 0.33047 |
| questions | 0.32539 |
| effective contraception | 0.397532 |
| blood passes | 0.393986 |
| Contact your healthcare | 0.38521 |
| local Alcoholics Anonymous | 0.457592 |
| safe time | 0.481794 |
| beer | 0.317223 |
| alcohol | 0.914543 |
| alcohol treatment programs | 0.647894 |
| Behavioral Health Treatment | 0.459805 |
| Alcohol Screening | 0.57647 |
| behavioral problems | 0.392314 |
| pregnancy | 0.49496 |
| SAMHSA | 0.319766 |
| baby’s brain | 0.395728 |
| nervous system problems | 0.387929 |
| birth control | 0.396318 |
| wines | 0.317231 |
| woman drinks alcohol | 0.729441 |
| treatment facility locator | 0.455528 |
| abnormal facial features | 0.46215 |
| fetal alcohol spectrum | 0.677576 |
| women | 0.349 |
|
| Services Locator | 0.383155 |
| alcohol-exposed pregnancies | 0.409598 |
| Answers page | 0.386311 |
| United States | 0.395137 |
| range | 0.315352 |
| Substance Abuse | 0.382409 |
| intellectual disabilities | 0.390948 |
| drinking alcohol | 0.685053 |
| Alcohol Exposed Pregnancies | 0.66955 |
| lifelong physical | 0.393835 |
| umbilical cord | 0.393555 |
| FASDs | 0.357004 |
| common problem | 0.382408 |
| Brief Intervention Efforts | 0.450371 |
| types | 0.317263 |
| alcohol treatment center | 0.653635 |
| miscarriage | 0.31947 |
| A.A. program | 0.384578 |
| Alcoholics Anonymous® | 0.388519 |
| Mental Health Services | 0.45202 |
| low birthweight | 0.39765 |
| Nearly half | 0.39005 |
| baby | 0.416594 |
| following characteristics | 0.388136 |
|
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| 5593 |
Centers for Disease Control and Prevention |
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p-Toluidine - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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| 7581 |
Centers for Disease Control and Prevention |
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Valley Fever Awareness | CDC Features |
Most fungi are harmless, but some types can make you sick. Coccidioidomycosis, also called valley fever, is an illness caused by a fungus that is common in some parts of the United States. Here’s what you need to know about valley fever. |
| South America | 0.351539 |
| Central America | 0.35161 |
| south-central Washington State | 0.397996 |
| antifungal medication | 0.35529 |
| adults ages | 0.349226 |
| antifungal treatment | 0.351804 |
| Valley fever symptoms | 0.492219 |
| areas | 0.320678 |
| soil | 0.311355 |
| air | 0.310271 |
| common illnesses | 0.349211 |
| fungus | 0.414759 |
| Certain groups | 0.348335 |
| U.S. cases | 0.355641 |
| Arizona | 0.31071 |
| area | 0.329134 |
| higher risk | 0.348038 |
| flu-like symptoms | 0.400223 |
| Valley fever | 0.990538 |
| severe lung infections | 0.388668 |
|
| important ways | 0.34768 |
| southwestern United States | 0.397163 |
| breathing | 0.310333 |
| patients | 0.320434 |
| severe forms | 0.348102 |
| California | 0.310706 |
| people | 0.416656 |
| respiratory illnesses | 0.349602 |
| doctor | 0.32212 |
| fungal lung infection | 0.410908 |
| environment | 0.31991 |
| vaccine | 0.309777 |
| microscopic fungal spores | 0.397479 |
| delays | 0.324779 |
| person | 0.318588 |
| parts | 0.330701 |
| coccidioidomycosis | 0.312857 |
| Mexico | 0.310446 |
| Healthcare providers | 0.398245 |
| Coccidioides | 0.330638 |
|
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| 8783 |
Centers for Disease Control and Prevention |
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Notes from the Field: Transmission of HBV AmongAssisted-Living-Facility Residents - Virginia, 2012 |
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. |
| hepatitis B virus | 0.660602 |
| Human Services | 0.636904 |
| Standard case definitions | 0.653498 |
| MMWR HTML versions | 0.648784 |
| U.S. Department | 0.63699 |
| ALF staff members | 0.737221 |
| Melissa Collier | 0.654911 |
| electronic PDF version | 0.648348 |
| testing current residents | 0.703806 |
| HBV transmission | 0.690737 |
| Virginia Department | 0.67056 |
| health agency staff | 0.688976 |
| hepatitis B vaccination | 0.631908 |
| National Center | 0.637404 |
| facility infection control | 0.754229 |
| Viral Hepatitis | 0.672452 |
| safe diabetes-care practices | 0.652604 |
| hepatitis B surface | 0.690733 |
| chronically HBV-infected patients | 0.675156 |
| apparent source patient | 0.675981 |
| chronic infection | 0.648578 |
| original paper copy | 0.642182 |
| Rappahannock Area Health | 0.97174 |
| pen-shaped lancing devices | 0.665195 |
|
| human immunodeficiency virus | 0.790212 |
| original MMWR paper | 0.654942 |
| U.S. Government Printing | 0.648953 |
| infection control toolkit | 0.712556 |
| hepatitis B core | 0.642064 |
| HCV RNA testing | 0.680086 |
| acute HBV infection | 0.836246 |
| low HBV DNA | 0.760801 |
| Healthcare Quality Promotion | 0.645882 |
| home staff members | 0.668535 |
| HBV DNA | 0.771134 |
| hepatitis C virus | 0.646922 |
| Area Health District | 0.952594 |
| HBV viral load | 0.767352 |
| infection control practices | 0.867085 |
| Career Epidemiology Field | 0.643186 |
| staff members | 0.848012 |
| chronically infected patient | 0.7945 |
| ALF residents | 0.659066 |
| Public Health Preparedness | 0.676926 |
| surface antigen | 0.667425 |
| HBV infection | 0.918264 |
| intense public health | 0.683388 |
| similar outbreak investigations | 0.673125 |
|
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Measles | Photos of Measles and People with Measles |CDC |
null |
| ultrastructural appearance | 0.34544 |
| moderate illness | 0.356976 |
| Dr. Raymond Strikas | 0.3972 |
| CDC | 0.310021 |
| pre-eruptive measles | 0.462752 |
| single virus particle | 0.382104 |
| runny nose | 0.416877 |
| teary eyes | 0.352416 |
| cough | 0.311171 |
| virion | 0.312236 |
| classic measles rash | 0.535597 |
| Histopathology | 0.309854 |
| patient | 0.32329 |
| transmission electron micrograph | 0.378854 |
| Koplik spots | 0.34321 |
| Face | 0.317612 |
| measles clinical features | 0.700033 |
| child healing | 0.344877 |
|
| Koplik’s spots | 0.344083 |
| measles virus | 0.502524 |
| 3D graphical representation | 0.377582 |
| intracytoplasmic inclusions | 0.349145 |
| beginning onset | 0.344534 |
| measles pneumonia | 0.461331 |
| measles rash | 0.59268 |
| PHIL Photo ID | 0.993937 |
| watery eyes | 0.352189 |
| Giant cell | 0.342588 |
| dark-skinned child | 0.353048 |
| measles virus particle | 0.499313 |
| Young boy | 0.345677 |
| Young child | 0.349594 |
| glycoprotein tubercles | 0.346171 |
| genus Morbillivirus | 0.347681 |
| measles | 0.701276 |
| measles infection | 0.594111 |
|
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| 12908 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Increased Confusion and Memory Loss in Households, 2011 Behavioral Risk Factor Surveillance System - CDC |
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. |
| experienced ICML | 0.707472 |
| functional difficulties | 0.419226 |
| Risk Factor Surveillance | 0.63625 |
| ICML measure | 0.630002 |
| Prev Chronic Dis | 0.417062 |
| Target Health Data | 0.44189 |
| level socioeconomic status | 0.418954 |
| health status differences | 0.426196 |
| Disease Control | 0.488691 |
| Sound Health Care | 0.429785 |
| augment community planning | 0.431468 |
| ICML | 0.986384 |
| high-income households | 0.565513 |
| cognitive function | 0.461035 |
| family members | 0.418931 |
| Self-reported memory complaints | 0.42998 |
| annual household incomes | 0.570004 |
| BRFSS selection process | 0.431345 |
| public health communication | 0.457156 |
| household-level variables | 0.436683 |
| neighborhood-level socioeconomic status | 0.427173 |
| Ment Health Policy | 0.424595 |
| available household weights | 0.518502 |
| Behavioral Risk Factor | 0.636622 |
|
| separate living quarter | 0.414864 |
| household members | 0.444234 |
| adults | 0.461591 |
| cognitive decline | 0.832107 |
| adult household member | 0.563582 |
| Erin D. Bouldin | 0.41095 |
| total households | 0.578259 |
| annual state-based telephone | 0.434396 |
| household size | 0.445589 |
| household weights | 0.613158 |
| public health | 0.500836 |
| household level | 0.465055 |
| American Community Survey | 0.419765 |
| public health programs | 0.431986 |
| households | 0.879203 |
| low-income households | 0.561068 |
| ICML questions | 0.666958 |
| memory loss | 0.607686 |
| Neighborhood socioeconomic status | 0.416999 |
| et al | 0.524283 |
| older adults | 0.415394 |
| household | 0.630143 |
| mild cognitive impairment | 0.545121 |
| memory complaints | 0.510479 |
|
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| 13877 |
Centers for Disease Control and Prevention |
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Gather and Share Your Family Health History | CDC Features |
Has your mother or sister had breast cancer? Does your mother, father, sister, or brother have diabetes? Did your mother, father, brother, or sister have colorectal (colon) cancer before age 50? If you answered “yes,” you are more likely to get the same disease as your parent or sibling and should consider earlier screening. Talk to your doctor about when to start screening and what other steps to take to prevent the disease or find it early. Finding disease early can often mean better health in the long run. |
| family gatherings | 0.354656 |
| healthy food choices | 0.355841 |
| FRAX Risk Assessment | 0.359937 |
| approximate age | 0.336533 |
| mother | 0.343485 |
| National Diabetes Prevention | 0.363534 |
| new family health | 0.391319 |
| medical condition | 0.366556 |
| talk | 0.36069 |
| health conditions | 0.367388 |
| Share family health | 0.389891 |
| sister | 0.338818 |
| family members | 0.581305 |
| colorectal cancer | 0.376068 |
| long run | 0.33986 |
| ovarian cancer | 0.357228 |
| diseases | 0.342103 |
| lifestyle change program | 0.354485 |
| steps | 0.341643 |
| family health history | 0.944853 |
| cancer genetic counseling | 0.365044 |
| health history risk | 0.38618 |
| Family Health Portrait | 0.420451 |
| screening tests | 0.337095 |
|
| earlier screening | 0.372862 |
| free web-based tool | 0.362053 |
| heart disease | 0.403979 |
| mammography screening | 0.338152 |
| early screening | 0.338203 |
| holiday season | 0.337168 |
| Summer Lee Cox | 0.364121 |
| BReast CAncer susceptibility | 0.37693 |
| disease | 0.408454 |
| better health | 0.352291 |
| breast cancer | 0.422348 |
| National Family History | 0.398911 |
| close family member | 0.374174 |
| weight loss goal | 0.358119 |
| doctor | 0.412101 |
| exact age | 0.336106 |
| genetic testing | 0.422303 |
| close family members | 0.376094 |
| poor eating habits | 0.356151 |
| cancer | 0.47363 |
| health history information | 0.543088 |
| family history story | 0.390895 |
| Oregon Public Health | 0.376128 |
| age | 0.369078 |
|
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| 15694 |
Centers for Disease Control and Prevention |
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Evaluating the Impact of National Public Health DepartmentAccreditation - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| accreditation process report | 0.304277 |
| public health decision-makers | 0.292726 |
| state-based public health | 0.292006 |
| management processes | 0.31331 |
| public health practitioners | 0.299612 |
| PHAB Accreditation Committee | 0.318385 |
| public health departments | 0.429023 |
| quality improvement | 0.567756 |
| public health accreditation | 0.50122 |
| national public health | 0.293092 |
| public health department | 0.367532 |
| public’s health | 0.30543 |
| health accreditation program | 0.457221 |
| public health standards | 0.300662 |
| Public Health Services | 0.319541 |
| nonprofit Public Health | 0.30356 |
| Health Performance Improvement | 0.291263 |
| nationally accredited health | 0.289604 |
| 5-year accreditation | 0.286961 |
| time health departments | 0.324876 |
| public health practice | 0.309767 |
| health department personnel | 0.290002 |
| public health agencies | 0.289125 |
| territorial public health | 0.302542 |
|
| Essential Public Health | 0.354385 |
| public health infrastructure | 0.299423 |
| applicant health departments | 0.313807 |
| Services.†Health departments | 0.325206 |
| accreditation process | 0.35789 |
| surveys health departments | 0.321865 |
| governmental public health | 0.404538 |
| health departments | 0.904157 |
| local health departments | 0.423047 |
| public health | 0.732789 |
| national accreditation program | 0.307282 |
| voluntary public health | 0.337631 |
| Indiana health department | 0.295658 |
| health department | 0.514507 |
| public health programs | 0.292959 |
| performance improvement opportunities | 0.340073 |
| public health peers | 0.294505 |
| local public health | 0.363608 |
| Health Accreditation Board | 0.418967 |
| community health assessment | 0.284513 |
| public health field | 0.289176 |
| health department document | 0.289588 |
| quality improvement activities | 0.293046 |
| PHAB-accredited health departments | 0.328475 |
|
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Preventing Sexual Violence | CDC Features |
Prevent sexual violence on college campuses. |
| college campuses | 0.484504 |
| university campuses | 0.435272 |
| community stakeholders | 0.372028 |
| university setting | 0.367316 |
| align prevention efforts | 0.558653 |
| Technical Package | 0.369312 |
| current thinking | 0.366259 |
| Key constituencies | 0.38673 |
| task force | 0.757583 |
| MB | 0.260935 |
| action planning meeting | 0.5163 |
| campus partners | 0.371061 |
| state teams | 0.375097 |
| subject matter experts | 0.525778 |
| prevention educators | 0.405757 |
| SV prevention strategies | 0.806068 |
| greater impact | 0.364282 |
| Sexual Assault | 0.392657 |
| difficult work | 0.387291 |
| additional tools | 0.384369 |
| prevention messages | 0.391866 |
| university administrators | 0.373432 |
| public health practice | 0.50416 |
| CDC’s RPE | 0.499647 |
|
| programs | 0.258145 |
| Rape Prevention | 0.41041 |
| action planning meetings | 0.510207 |
| components | 0.27245 |
| mandate | 0.233695 |
| think tank findings | 0.537528 |
| Protect Students | 0.376322 |
| law enforcement | 0.375141 |
| grantees | 0.276587 |
| prevention practitioners | 0.405771 |
| federal partners | 0.374066 |
| sexual violence | 0.909956 |
| SV resource centers | 0.801141 |
| SV prevention efforts | 0.811364 |
| Primary prevention—preventing violence | 0.595525 |
| White House | 0.386876 |
| multi-year actionable plans | 0.535474 |
| federal enforcement efforts | 0.550335 |
| best available evidence | 0.508279 |
| Prevent Sexual Violence | 0.597878 |
| prevention policies | 0.41155 |
| time | 0.260146 |
| U.S. campuses | 0.447736 |
| Culture change | 0.389111 |
|
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