| 543 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Community Size as a Factor in Health Partnerships in Community Parks and Recreation, 2007 - CDC |
Although partnerships between park and recreation agencies and health agencies are prevalent, little research has examined partnership characteristics and effectiveness among communities of different sizes. The objective of this study was to determine whether park and recreation leaders’ perceptions of partnership characteristics, effectiveness, and outcomes vary by community size. |
| partnership effectiveness items | 0.390861 |
| public health issues | 0.380894 |
| recreation agencies | 0.557441 |
| significantly fewer partnerships | 0.42517 |
| agencies given health | 0.395214 |
| partnership decision making | 0.416019 |
| mission statement | 0.408318 |
| nonprofit health promotion | 0.514421 |
| senior services | 0.41266 |
| 5-point Likert-type scale | 0.428157 |
| effective partnerships | 0.426177 |
| small rural communities | 0.430238 |
| rural areas | 0.389848 |
| large communities | 0.605919 |
| Laura L. Payne | 0.393695 |
| partnership practices | 0.419199 |
| health insurance companies | 0.415123 |
| health promotion agencies | 0.517489 |
| health partnership decision | 0.437996 |
| additional resources | 0.424013 |
| medium communities | 0.491153 |
| formal partnerships | 0.398878 |
| decision making | 0.45613 |
| community parks | 0.394661 |
| public health agencies | 0.468343 |
|
| partnership outcomes | 0.396651 |
| community health concerns | 0.392722 |
| partnership characteristics | 0.403597 |
| interagency health partnerships | 0.451337 |
| inclusive decision making | 0.381643 |
| partnerships | 0.773001 |
| different health/wellness partnerships | 0.419588 |
| larger communities | 0.393161 |
| Interorganizational partnerships | 0.401711 |
| agency partnership practices | 0.383553 |
| public health | 0.49754 |
| park | 0.421456 |
| National Recreation | 0.38666 |
| Pennsylvania State University | 0.389397 |
| size shapes partnership | 0.396303 |
| transportation agencies | 0.385369 |
| community size | 0.922679 |
| partnership effectiveness | 0.444263 |
| community park | 0.38596 |
| Geoffrey C. Godbey | 0.397304 |
| organizations | 0.400541 |
| small communities | 0.530692 |
| health partnerships | 0.738089 |
| smaller communities | 0.408423 |
|
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| 666 |
Centers for Disease Control and Prevention |
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Youth and Young Adult Data - Smoking & Tobacco Use |
null |
| Early Release | 0.200885 |
| High School Students—United | 0.906646 |
| Flavored Tobacco Product | 0.211466 |
| No. | 0.533122 |
| Electronic Cigarette | 0.248608 |
| Middle | 0.237603 |
| Tobacco | 0.335779 |
|
| Vol. | 0.703387 |
| Top-Grossing Movies—United States | 0.275251 |
| Youth Tobacco Survey | 0.298381 |
| High School Students | 0.250554 |
| Current Tobacco Smoking | 0.219783 |
| Global Youth Tobacco | 0.30196 |
|
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| 1205 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Flavored Tobacco Use Among Canadian Students in Grades 9 Through 12: Prevalence and Patterns From the 2010"2011 Youth Smoking Survey - CDC |
This study examined patterns of use of flavored tobacco products in a nationally generalizable sample of Canadian students in grades 9 through 12 after the implementation of a national ban on certain flavored tobacco products. |
| R.J. Reynolds Tobacco | 0.336786 |
| flavored tobacco-product component | 0.307945 |
| cigarillos | 0.300408 |
| weekly spending money | 0.411234 |
| little cigars | 0.52015 |
| tobacco users | 0.427454 |
| overall tobacco | 0.353146 |
| roll-your-own cigarettes | 0.319672 |
| smoke menthol cigarettes | 0.318373 |
| current tobacco users | 0.326577 |
| certain tobacco products | 0.339799 |
| smoking menthol cigarettes | 0.327579 |
| respondents | 0.313804 |
| flavored little cigars | 0.331992 |
| menthol cigarette smoking | 0.329216 |
| flavored versions | 0.295704 |
| blunt wraps | 0.319697 |
| Canadian tobacco control | 0.313836 |
| flavored products | 0.37732 |
| flavored cigars | 0.355388 |
| smokeless tobacco users | 0.403868 |
| menthol smoking | 0.323751 |
| menthol tobacco products | 0.37236 |
| youths | 0.311164 |
|
| tobacco marketing regulations | 0.312039 |
| flavored tobacco | 0.930399 |
| Canadian students | 0.316713 |
| smokeless tobacco sales | 0.343038 |
| flavored bidis | 0.330528 |
| cigarette tobacco | 0.326289 |
| tobacco use rates | 0.331835 |
| Tobacco Control study | 0.322205 |
| flavored product | 0.321055 |
| novel tobacco products | 0.322945 |
| flavored smokeless tobacco | 0.410395 |
| flavored tobacco product | 0.480902 |
| overall flavored tobacco | 0.436415 |
| tobacco companies | 0.322447 |
| smokeless tobacco | 0.598619 |
| menthol cigarettes | 0.705831 |
| young tobacco users | 0.346042 |
| pipe tobacco | 0.341558 |
| water pipe | 0.300358 |
| flavored tobacco products | 0.683463 |
| nationally generalizable sample | 0.325377 |
| certain flavored tobacco | 0.449006 |
| tobacco control | 0.346433 |
| various tobacco products | 0.329757 |
|
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| 1256 |
Centers for Disease Control and Prevention |
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en |
World Hepatitis Day - July 28, 2014 |
July 28, 2014, marks the 4th annual World Hepatitis Day. Nearly 400 million persons are living with hepatitis B or hepatitis C, and more than 1 million die annually as a result of their infection. This year, the 67th World Health Assembly (WHA) reaffirmed the global commitment to prevent and control viral hepatitis through the passage of resolution WHA 67. |
| Blood transfusions | 0.525543 |
| endorsement | 0.374976 |
| hepatitis B virus | 0.705517 |
| Human Services | 0.581526 |
| safe blood | 0.48718 |
| gains | 0.332205 |
| MMWR HTML versions | 0.596253 |
| U.S. Department | 0.581858 |
| electronic PDF version | 0.582599 |
| infections | 0.364018 |
| Assembly | 0.330026 |
| prevention interventions | 0.482703 |
| issue | 0.354381 |
| Contact GPO | 0.489777 |
| commercial sources | 0.465735 |
| 67th World Health | 0.65458 |
| current prices | 0.458092 |
| resolution WHA | 0.509285 |
| persons | 0.331984 |
| unpaid donors | 0.482412 |
| original paper copy | 0.575114 |
| transfusion persists | 0.507034 |
| access | 0.359577 |
| original MMWR paper | 0.590341 |
|
| U.S. Government Printing | 0.582504 |
| Superintendent | 0.32965 |
| blood units | 0.47983 |
| MMWR readers | 0.472187 |
| character translation | 0.457342 |
| result | 0.332914 |
| sub-Saharan Africa | 0.85919 |
| hepatitis C virus | 0.705142 |
| public awareness | 0.481221 |
| key strategy | 0.477635 |
| poorest countries | 0.481966 |
| format errors | 0.457235 |
| viral hepatitis | 0.739965 |
| major challenge | 0.467519 |
| annual World Hepatitis | 0.94331 |
| global commitment | 0.479469 |
| typeset documents | 0.464126 |
| trade names | 0.465851 |
| official text | 0.455367 |
| non-CDC sites | 0.46209 |
| substantial increases | 0.474291 |
| blood supply | 0.485919 |
| report | 0.351459 |
| electronic conversions | 0.453433 |
|
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Centers for Disease Control and Prevention |
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Heat Illnesses and Death - Health Communication |
Heat Illnesses and Death - Gateway to Health Communication - CDC |
| sustained period | 0.449605 |
| extreme heat exposure | 0.652951 |
| car keys | 0.438198 |
| heat illness | 0.501607 |
| heat-related illnesses | 0.512723 |
| cooler parts | 0.442199 |
| poor circulation | 0.437974 |
| heat exhaustion | 0.93077 |
| health conditions | 0.576576 |
| heat stroke | 0.839006 |
| movie theatre | 0.440374 |
| greater risk | 0.455703 |
| pulse rate | 0.448685 |
| risk factors | 0.447789 |
| mental illness | 0.463624 |
| local emergency department | 0.547022 |
| heat-related illness | 0.808689 |
| spending time | 0.43984 |
| Yes. The key | 0.448293 |
| high temperatures | 0.606267 |
| heat waves | 0.480192 |
| air-conditioned location | 0.458027 |
| dry skin | 0.441106 |
| closed trunk | 0.439374 |
| heat rash | 0.525127 |
|
| Electric fans | 0.441787 |
| Heat illnesses | 0.518637 |
| United States | 0.469396 |
| chronic health conditions | 0.559671 |
| cool shower | 0.46513 |
| high body temperature | 0.615094 |
| heat cramps | 0.536222 |
| high 90s | 0.441868 |
| outdoor physical activities | 0.560487 |
| unbalanced replacement | 0.464587 |
| heat-related deaths | 0.570091 |
| muscle cramps | 0.465873 |
| heart disease | 0.446366 |
| air-conditioned environment | 0.460519 |
| sweating mechanism | 0.476881 |
| heat wave | 0.475566 |
| light clothing | 0.442655 |
| car trunk | 0.442218 |
| severe conditions | 0.461951 |
| people | 0.462085 |
| hot weather | 0.442384 |
| next-door neighbor | 0.446988 |
| homebound friends | 0.440399 |
| prolonged exposure | 0.464821 |
|
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Centers for Disease Control and Prevention |
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Muscular Dystrophy: Kevin's Story | CDC Features |
Muscular dystrophies are a group of genetic diseases that cause muscle weakness over time. Read about Kevin, a man with muscular dystrophy who doesn’t let the condition define him. |
| genetic diseases | 0.559073 |
| speech therapy | 0.470815 |
| upper arms | 0.519526 |
| mental health | 0.475582 |
| stairs | 0.430675 |
| assistive technology | 0.471513 |
| active life | 0.480338 |
| wheelchair cabs | 0.479494 |
| respiratory therapy | 0.469521 |
| Volunteer work | 0.47568 |
| muscular dystrophy | 0.935835 |
| stressful job | 0.481113 |
| Humane Society | 0.472282 |
| orthopedic appliances | 0.467269 |
| New patients | 0.473215 |
| long distances | 0.472146 |
| new company | 0.476621 |
| FSHD | 0.555705 |
| specific treatment | 0.472324 |
| long term disability | 0.540049 |
| muscle strength | 0.481103 |
| Kevin | 0.550969 |
| condition | 0.428851 |
| distance swimmer | 0.481661 |
| FSHD specialists | 0.532094 |
|
| long term | 0.587608 |
| major types | 0.489034 |
| real ah-ha moment | 0.550641 |
| facial muscles | 0.487891 |
| muscle inflammation | 0.492043 |
| good insurance | 0.477645 |
| black tie dinner | 0.543494 |
| Weak shoulder muscles | 0.549791 |
| middle age | 0.46986 |
| facioscapulohumeral muscular dystrophy | 0.783949 |
| muscular dystrophies | 0.710546 |
| citizen lobbyist | 0.475363 |
| limited mobility | 0.479673 |
| shoulder blades | 0.524839 |
| Social media | 0.473676 |
| muscle weakness | 0.670602 |
| three-time Junior Olympian | 0.551188 |
| midlife crisis | 0.473596 |
| people | 0.429831 |
| AIDS vaccine development | 0.536218 |
| progressive weakness | 0.507066 |
| big pay cut | 0.537929 |
| Georgia legislative session | 0.53181 |
| occupational therapy | 0.468041 |
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Centers for Disease Control and Prevention |
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Aortic Aneurysm Fact Sheet'Data & Statistics'DHDSP'CDC |
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| aortic aneurysm | 0.797597 |
| thoracic aortic aneurysm | 0.579114 |
| thoracic aortic aneurysms | 0.571746 |
| Acute aortic syndromes | 0.219015 |
|
| abdominal aortic aneurysms | 0.628726 |
| aortic aneurysms | 0.936745 |
| abdominal aortic aneurysm | 0.658986 |
|
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Centers for Disease Control and Prevention |
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Agency for Toxic Substances and Disease Registry releases first set of data from National ALS Registry | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| exception | 0.32251 |
| better understanding | 0.407778 |
| Mortality Weekly Report | 0.540576 |
| Journal | 0.317636 |
| manner | 0.319455 |
| cure | 0.319212 |
| Oct. | 0.318855 |
| body | 0.31834 |
| health officials | 0.409212 |
| Amyotrophic Lateral Sclerosis | 0.789103 |
| http://jama.jamanetwork.com/journal.aspx | 0.318692 |
| National Amyotrophic Lateral | 0.543599 |
| data summary | 0.432869 |
| period | 0.318869 |
| self-reports | 0.319133 |
| paralysis | 0.323728 |
| diagnosis | 0.31822 |
| diseases | 0.317949 |
| Dec. | 0.318819 |
| nerve cells | 0.414779 |
| ALS cases | 0.598346 |
| possible risk factors | 0.495398 |
| brief surveys | 0.408075 |
| Sclerosis Registry Model | 0.518566 |
|
| conditions | 0.317935 |
| Non-Notifiable Disease | 0.416592 |
| sources | 0.319176 |
| death | 0.31827 |
| American | 0.317614 |
| United States | 0.753689 |
| Lou Gehrig | 0.445576 |
| 100,000 | 0.321365 |
| national administrative databases | 0.518952 |
| report’s findings | 0.415958 |
| genetics | 0.317459 |
| heart disease | 0.417624 |
| Massachusetts | 0.317838 |
| Persons | 0.317666 |
| ATSDR researchers | 0.421032 |
| MMWR | 0.339014 |
| displays data | 0.430454 |
| Agency | 0.321131 |
| occupational exposures | 0.411615 |
| people | 0.359791 |
| Morbidity | 0.331588 |
| EDITOR | 0.317836 |
| National ALS Registry | 0.93031 |
| Disease Registry | 0.447227 |
|
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Centers for Disease Control and Prevention |
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Announcements: World Malaria Day - April 25, 2015 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| diagnostic test kits | 0.248576 |
| malaria mortality | 0.588877 |
| U.S. Government Printing | 0.242094 |
| original MMWR paper | 0.232598 |
| CDC Foundation | 0.201634 |
| Human Services | 0.251264 |
| Defeat Malaria | 0.558586 |
| malaria | 0.90849 |
| U.S. Department | 0.246976 |
| MMWR HTML versions | 0.236693 |
| malaria control | 0.68905 |
| sub-Saharan Africa | 0.290544 |
| effective malaria prevention | 0.703082 |
| global malaria control | 0.677316 |
|
| malaria partners | 0.533461 |
| Melinda Gates Foundation | 0.240751 |
| electronic PDF version | 0.22609 |
| Haiti Malaria Elimination | 0.664291 |
| malaria worldwide | 0.538569 |
| malaria activities | 0.527743 |
| malaria elimination | 0.696642 |
| malaria incidence | 0.551539 |
| World Malaria | 0.732174 |
| Greater Mekong Subregion | 0.266796 |
| U.S. government interagency | 0.263818 |
| original paper copy | 0.231218 |
| Malaria Initiative | 0.549619 |
|
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| 15809 |
Centers for Disease Control and Prevention |
Html |
en |
Prediabetes | Social Media | Resource Center | Diabetes |
Prediabetes: Could It Be You? |
| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
|
| email address | 0.716575 |
| DOC | 0.270026 |
| different file formats | 0.90859 |
|
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