| 1037 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Grand Rounds: Global Tobacco Control |
This is another in a series of occasional MMWR reports titled CDC Grand Rounds. These reports are based on grand rounds presentations at CDC on high-profile issues in public health science, practice, and policy. Information about CDC Grand Rounds is available at http://www. |
| annual global consumption | 0.480515 |
| smokefree laws | 0.464367 |
| China National Tobacco | 0.588411 |
| Tobacco Industry | 0.577503 |
| Chaloupka FJ | 0.472181 |
| Global Tobacco Surveillance | 0.590934 |
| tobacco excise tax | 0.567695 |
| tobacco use costs | 0.541077 |
| tobacco | 0.916247 |
| Global Public Health | 0.479077 |
| comprehensive tobacco control | 0.58844 |
| World Health Organization | 0.563449 |
| average cigarette consumption | 0.47038 |
| tobacco use initiation | 0.546291 |
| countries | 0.518292 |
| excess health risks | 0.459423 |
| tobacco products | 0.768658 |
| cigarettes | 0.476839 |
| J. The tobacco | 0.537957 |
| private tobacco companies | 0.588774 |
| total cigarette price | 0.47003 |
| global cigarette consumption | 0.47962 |
| global tobacco control | 0.587129 |
| United States | 0.521305 |
| tobacco packages | 0.559613 |
|
| smokers | 0.461468 |
| tobacco advertising | 0.61173 |
| tobacco control policy | 0.59649 |
| significant health benefits | 0.460529 |
| Adult Tobacco Survey | 0.625787 |
| tobacco marketing bans | 0.579436 |
| Global Youth Tobacco | 0.592705 |
| cigarette consumption | 0.495809 |
| graphic warning labels | 0.49353 |
| tobacco sales worldwide | 0.606522 |
| H. Tobacco advertising | 0.564787 |
| smokefree public places | 0.465778 |
| Cigarette package health | 0.470995 |
| effective tobacco control | 0.586957 |
| Global Adult Tobacco | 0.629526 |
| well-enforced smokefree policies | 0.463169 |
| specific health warnings | 0.460048 |
| tobacco control policies | 0.64573 |
| Tob Control | 0.482714 |
| Tobacco Questions | 0.55739 |
| cigarette packages | 0.466266 |
| Canadian Cancer Society | 0.487834 |
| Tobacco plants | 0.564941 |
| tobacco control | 0.843758 |
|
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| 4697 |
Centers for Disease Control and Prevention |
Html |
en |
Cost-effectiveness analysis of efforts to reduce risk of type 2 diabetes and cardiovascular disease in southwestern Pennsylvania, 2005-2007 |
null |
| Diabetes Prevention Study | 0.459497 |
| cost-effectiveness ratio | 0.313959 |
| diabetes prevention | 0.821409 |
| Prospective Diabetes Study | 0.273818 |
| Pittsburgh Diabetes Institute | 0.223708 |
| impaired glucose tolerance | 0.309162 |
| Kingdom Prospective Diabetes | 0.210552 |
| 1-way sensitivity analyses | 0.26126 |
| Da Qing Diabetes | 0.273843 |
| mDPP intervention cost | 0.225352 |
| Diabetes Study risk | 0.22783 |
| lifestyle intervention | 0.319047 |
| DPP lifestyle intervention | 0.280425 |
| Diabetes Prevention Support | 0.277385 |
| incremental cost-effectiveness | 0.209833 |
| complicated diabetes | 0.209333 |
| DPP intervention | 0.233272 |
|
| usual care | 0.527609 |
| stable diabetes stage | 0.206335 |
| mDPP intervention | 0.358338 |
| cost-effectiveness | 0.326907 |
| risk factors | 0.272107 |
| Diabetes Care | 0.35576 |
| original DPP | 0.222441 |
| Diabetes Prevention Programme | 0.211634 |
| cost-effectiveness ratios | 0.210687 |
| metabolic syndrome | 0.930368 |
| et al | 0.393109 |
| sensitivity analyses | 0.405444 |
| diabetes prevention program | 0.72605 |
| diabetes complication incidence | 0.208226 |
| intervention | 0.408255 |
| Finnish Diabetes Prevention | 0.378555 |
|
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| 6294 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Alcohol-Impaired Driving Among Adults - United States, 2010 - Press Briefing Transcript: October 4, 2011 |
Vital Signs: Alcohol-Impaired Driving Among Adults — United States, 2010 |
| young men age | 0.337449 |
| sobriety checkpoints | 0.394774 |
| fatal motor vehicle | 0.427112 |
| Tom Frieden | 0.991916 |
| risky drinking patterns | 0.353992 |
| ignition interlock programs | 0.332066 |
| Tom Skinner | 0.850439 |
| brief question | 0.329832 |
| David Beasley | 0.385364 |
| minimum legal drinking | 0.474144 |
| press star | 0.433855 |
| drivers. Dr. Bergen | 0.395548 |
| broader societal costs. | 0.393607 |
| ignition interlock | 0.376105 |
| strong public support | 0.324011 |
| Dr. Gwen Bergen | 0.446855 |
| legal drinking age | 0.478886 |
| Shirley. Thank | 0.37401 |
| highways. Sobriety checkpoints | 0.346941 |
| Mr. Tom skinner. | 0.36761 |
| Dr. Thomas Frieden | 0.484462 |
| young inexperienced drivers | 0.335513 |
| drunk driving. Drinking | 0.393106 |
| Gwen Bergen | 0.882616 |
| Timothy Martin | 0.362545 |
|
| Operator | 0.348706 |
| driving. Ignition interlocks | 0.35832 |
| ignition interlock systems | 0.323006 |
| Vital Signs | 0.389593 |
| ignition interlocks | 0.381915 |
| recent survey | 0.324828 |
| costs. Dr. Bergen | 0.391223 |
| Daniel DeNoon | 0.435499 |
| interesting. Thank | 0.335929 |
| monthly sobriety checkpoints. | 0.332243 |
| drink. Binge drinking | 0.386166 |
| Vital Signs report | 0.325978 |
| drunk driving | 0.557788 |
| age drinking laws | 0.392364 |
| question | 0.637821 |
| people | 0.386742 |
| drinking age laws | 0.478344 |
| medical costs | 0.34268 |
| motor vehicle crashes | 0.590563 |
| Mike Stobbe | 0.557088 |
| Dr. Bergen | 0.891914 |
| Dr. Frieden | 0.695499 |
| Damien McNamara | 0.3713 |
| blood alcohol concentration | 0.322512 |
|
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| 8385 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013:12_0211 |
Volumen 10 — el 28 de marzo de 2013. |
| salud pública | 0.561673 |
| Nueva York | 0.473352 |
| mayores probabilidades | 0.466133 |
| alta prevalencia | 0.582983 |
|
| Estados Unidos | 0.56767 |
| participantes indo-guyaneses | 0.960928 |
| Ningún estudio | 0.48003 |
| mala salud | 0.467923 |
|
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| 8396 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Advance Care Planning and Chronic Disease Management - Aging |
Advance care planning can be a gift you give yourself and your family. It is about doing what you can to ensure that your wishes and preferences are consistent with the health care treatment you might receive if you were unable to speak for yourself or make your own decisions. |
| gift | 0.316691 |
| voice | 0.314475 |
| CDC | 0.316508 |
| health care preferences | 0.486554 |
| related issues | 0.375506 |
| disability | 0.314742 |
| health care treatment | 0.471626 |
| durable power | 0.375014 |
| Page | 0.314661 |
| behalf | 0.332192 |
| important step | 0.369717 |
| right thing | 0.382616 |
| health care team | 0.465752 |
| decline | 0.314721 |
| chronic disease management | 0.473731 |
| wishes | 0.369263 |
| health care providers | 0.447169 |
| advance care planning | 0.974664 |
| life-threatening illness | 0.375515 |
| family members | 0.596679 |
| public health activities | 0.47279 |
| health care proxy | 0.519562 |
| lack | 0.315259 |
| difference advance care | 0.499023 |
| older Americans | 0.378313 |
|
| chronic disease | 0.548615 |
| life-sustaining measures | 0.385804 |
| advance directive | 0.618047 |
| confusion | 0.316186 |
| extended periods | 0.377992 |
| recovery | 0.315082 |
| palliative care | 0.384813 |
| decisions | 0.353484 |
| health care | 0.871695 |
| chronic disease self-management | 0.456801 |
| substantial focus | 0.392258 |
| cases | 0.314785 |
| advance directives | 0.423999 |
| chronic diseases | 0.389483 |
| disagreement | 0.31925 |
| heroic measures | 0.378133 |
| caregiving | 0.315051 |
| people | 0.314832 |
| chronic conditions | 0.390588 |
| short video | 0.377868 |
| little likelihood | 0.384346 |
| cognitive impairment | 0.374743 |
| information | 0.329856 |
| time | 0.353955 |
|
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| 8815 |
Centers for Disease Control and Prevention |
Html |
en |
Deaths Associated with Hurricane Sandy - October-November2012 |
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. |
| flooded homes | 0.529443 |
| Cross mortality form | 0.486564 |
| Red Cross | 0.911261 |
| Sandy-related deaths | 0.643328 |
| New York state | 0.512687 |
| New York City | 0.731009 |
| Human Health Sciences | 0.504607 |
| directly related deaths | 0.637954 |
| Management Agency storm | 0.507592 |
| deaths | 0.993416 |
| Hurricane-related drowning deaths | 0.656444 |
| Red Cross cases | 0.505155 |
| nondrowning deaths | 0.598617 |
| Red Cross mortality | 0.672871 |
| tropical storm winds | 0.47827 |
| decedents | 0.485872 |
| home addresses | 0.48859 |
| hurricane-related deaths | 0.625794 |
| hurricane evacuation orders | 0.514136 |
| West Virginia | 0.480555 |
| Emergency Management Agency | 0.56218 |
| hurricane storm surge | 0.497583 |
| Zone A. Drowning | 0.538418 |
| Cross mortality tracking | 0.518276 |
|
| Evacuation Zone A. | 0.567965 |
| storm surge predictions | 0.481434 |
| Evacuation Zone | 0.697144 |
| evacuation messages | 0.534471 |
| indirectly related deaths | 0.674399 |
| mandatory evacuation orders | 0.497338 |
| evacuation plans | 0.489523 |
| New York | 0.857003 |
| Red Cross volunteers | 0.531473 |
| mortality forms | 0.494986 |
| common cause | 0.48071 |
| disaster-related health needs | 0.47897 |
| disaster-related deaths | 0.620758 |
| American Red Cross | 0.645627 |
| evacuation systems | 0.499706 |
| Cross tracks deaths | 0.640772 |
| New Jersey | 0.483821 |
| storm surge area | 0.565816 |
| evacuation zones | 0.488468 |
| Red Cross Disaster | 0.51394 |
| Cross mortality forms | 0.484824 |
| Federal Emergency Management | 0.564161 |
| Hurricane Sandy | 0.549611 |
| Agency storm surge | 0.507814 |
|
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| 9799 |
Centers for Disease Control and Prevention |
Html |
en |
Chronic Fatigue Syndrome (CFS) - Treating the Most Disruptive Symptoms First |
null |
| bed | 0.237798 |
| severe fatigue | 0.476778 |
| thinking | 0.237693 |
| times | 0.237969 |
| Institute | 0.233133 |
| complex disease | 0.390667 |
| understanding | 0.233113 |
| health care providers | 0.539427 |
| ME/CFS | 0.833269 |
| dizziness | 0.257062 |
| pain | 0.235244 |
| timely diagnosis | 0.403076 |
| committee | 0.23346 |
| IOM | 0.260819 |
|
| Americans | 0.236337 |
| encephalomyelitis/chronic fatigue syndrome | 0.995804 |
| sleep problems | 0.402557 |
| usual activities | 0.430562 |
| body systems | 0.430988 |
| people | 0.311776 |
| symptoms | 0.233915 |
| symptom | 0.252966 |
| post-exertional malaise | 0.428804 |
| long-term illness | 0.481315 |
| new diagnostic criteria | 0.557353 |
| PEM | 0.255933 |
| MyalÂgic Encephalomyelitis/Chronic Fatigue | 0.602573 |
|
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| 10644 |
Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'Botulism' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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 |
| 11175 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | The Geography of Diabetes by Census Tract in a Large Sample of Insured Adults in King County, Washington, 2005"2006 - CDC |
Identifying areas of high diabetes prevalence can have an impact on public health prevention and intervention programs. Local health practitioners and public health agencies lack small-area data on obesity and diabetes. |
| diabetes prevention | 0.439362 |
| census tracts | 0.571389 |
| Cooperative health care | 0.389433 |
| unsmoothed prevalence | 0.411001 |
| EB-smoothed prevalence | 0.418036 |
| Health Cooperative health | 0.403878 |
| self-reported diabetes | 0.416233 |
| college education | 0.397284 |
| population density | 0.522217 |
| median household income | 0.534104 |
| area-level diabetes | 0.411073 |
| Food Environment Index | 0.412448 |
| countywide prevalence | 0.412069 |
| Census-tract–level prevalence | 0.408495 |
| obesity prevalence | 0.51571 |
| adult diabetes | 0.43632 |
| Diabetes status | 0.43069 |
| census tract–level diabetes | 0.479789 |
| high diabetes risk | 0.465359 |
| random spatial pattern | 0.406946 |
| high diabetes prevalence | 0.580845 |
| census-tract–level diabetes prevalence | 0.524791 |
| geographic distribution | 0.424309 |
| Modified Retail Food | 0.408991 |
| spatial clustering | 0.38901 |
|
| Group Health Cooperative | 0.428285 |
| spatial dependence | 0.430946 |
| crude prevalence | 0.406723 |
| percentage points | 0.455445 |
| southeast King County | 0.428034 |
| prevalence estimates | 0.414612 |
| diabetes prevalence | 0.90654 |
| diabetes belt | 0.449373 |
| childhood obesity prevalence | 0.475298 |
| median home value | 0.601178 |
| residual spatial dependence | 0.391214 |
| public health | 0.402073 |
| Retail Food Environment | 0.413242 |
| text description | 0.396383 |
| food environment | 0.520472 |
| diabetes incidence | 0.437408 |
| high prevalence | 0.426779 |
| college degree | 0.431577 |
| smoothed diabetes prevalence | 0.641925 |
| low prevalence | 0.406366 |
| census-tract level | 0.449048 |
| diabetes data | 0.431464 |
| King County | 0.760435 |
| Group Health | 0.51009 |
|
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| 13684 |
Centers for Disease Control and Prevention |
Html |
en |
The Effects of the A Matter of Balance Program on Falls and Physical Risk of Falls, Tampa, Florida, 2013 |
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. |
| composite score | 0.404268 |
| Montreal Cognitive Assessment | 0.428205 |
| recurrent falls | 0.408887 |
| MOB program | 0.973838 |
| functional limitations | 0.583455 |
| significant differences | 0.437855 |
| multivariate analysis | 0.455515 |
| geriatric fear | 0.371899 |
| number | 0.448277 |
| falls | 0.616118 |
| logistic regressions | 0.381508 |
| significant multivariate group | 0.397941 |
| fear | 0.376755 |
| comparison groups | 0.420212 |
| Falls Efficacy Scale | 0.444871 |
| physical risk factors | 0.546084 |
| significant main effect | 0.430412 |
| Performance-Oriented Mobility Assessment | 0.391076 |
| effects | 0.421263 |
| physical activities participants | 0.374176 |
| FR test | 0.570774 |
| significant group | 0.396372 |
| community-dwelling older adults | 0.4229 |
| physical risk | 0.63365 |
| study | 0.435943 |
|
| Sci Soc Sci | 0.377715 |
| standardized MOB program | 0.450514 |
| Daily Living scale | 0.564841 |
| significant effects | 0.372052 |
| Significant univariate group | 0.399606 |
| MOB group | 0.869273 |
| Psychol Sci Soc | 0.380255 |
| participants | 0.472709 |
| recurrent fallers | 0.662599 |
| time interaction | 0.434078 |
| nonrecurrent fallers | 0.38748 |
| Katz Activities | 0.382735 |
| univariate repeated-measures ANCOVA | 0.44524 |
| chronic conditions | 0.434981 |
| randomized controlled trial | 0.38054 |
| higher scores | 0.463304 |
| final MOB session | 0.423795 |
| significantly better performance | 0.380524 |
| comparison group | 0.897426 |
| Modified Falls Efficacy | 0.445474 |
| older adults | 0.656485 |
| TUG test | 0.51664 |
| time | 0.459477 |
| Lawton Instrumental Activities | 0.448945 |
|
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