| 641 |
Centers for Disease Control and Prevention |
Html |
en |
Smoke-Free Policies Do Not Hurt the Hospitality Industry - Smoking & Tobacco Use |
Secondhand Smoke Fact Sheets. |
| Apr | 0.650996 |
| Smoke-Free New York | 0.542595 |
| indoor air quality | 0.451213 |
| York State Department | 0.537877 |
| smokefree policies | 0.572763 |
| economic impact studies | 0.479949 |
| Local smokefree restaurant | 0.577725 |
| U.S. Department | 0.446041 |
| New York City | 0.916408 |
| statewide retail sales | 0.462318 |
| local smokefree law | 0.610336 |
| Smokefree Legislation | 0.475945 |
| local smokefree laws | 0.567362 |
| taxable sales revenue | 0.484876 |
| total retail sales | 0.455592 |
| restaurant sales tax | 0.509635 |
| Smoke-free Workplace Law | 0.515499 |
| American Journal | 0.643023 |
| York City Economic | 0.502281 |
| Requiring Smoke-free Restaurants | 0.499888 |
| comprehensive state | 0.452064 |
| new york state | 0.656803 |
| employment data | 0.463269 |
| statewide law | 0.449331 |
|
| Public Health Research | 0.452825 |
| restaurant sales | 0.548008 |
| smokefree ordinance | 0.509117 |
| P. Smoke-free laws | 0.506608 |
| smokefree law | 0.776963 |
| public places | 0.451988 |
| York state tobacco | 0.492613 |
| adverse economic impact | 0.500495 |
| hospitality venue revenues | 0.457342 |
| smokefree restaurant laws | 0.641905 |
| Smoke-Free Workplace Law. | 0.486127 |
| bar revenues | 0.467385 |
| restaurant employment | 0.481282 |
| Clean Indoor Air | 0.672304 |
| Health | 0.499827 |
| economic impact | 0.661576 |
| tobacco control program | 0.558312 |
| York City Department | 0.665875 |
| Smoke-free Law Associated | 0.511822 |
| Preventive Medicine | 0.569056 |
| Pueblo Smokefree Air | 0.542946 |
| state smokefree law | 0.703298 |
| economic evaluation | 0.459353 |
| tobacco control | 0.725819 |
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| 6856 |
Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0155 |
Despite evidence of the benefits of regular physical activity, many older adults are not physically active. Health professionals are challenged to replicate evidence-based programs to address low levels of physical activity among members of their communities. |
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| 6968 |
Centers for Disease Control and Prevention |
Html |
en |
QuickStats: Birth Rates* for Teens Aged 15-19 Years, by Age Group - National Vital Statistics System, United States, 1960-2010 |
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. |
| mmwrq@cdc.gov. | 0.507467 |
| endorsement | 0.442445 |
| Alternate Text | 0.496901 |
| Human Services | 0.567879 |
| assistive technology | 0.515136 |
| MMWR HTML versions | 0.562836 |
| U.S. Department | 0.559478 |
| identification | 0.416659 |
| electronic PDF version | 0.561263 |
| decline | 0.441261 |
| e-mail | 0.440573 |
| 89.1 | 0.43675 |
| historic lows | 0.617508 |
| Contact GPO | 0.505599 |
| commercial sources | 0.495986 |
| age groups | 0.597088 |
| current prices | 0.491044 |
| original paper copy | 0.563902 |
| birth rates | 0.970339 |
| women | 0.436731 |
| United States | 0.501228 |
| U.S. Government Printing | 0.572905 |
| original MMWR paper | 0.559954 |
| age group | 0.498926 |
|
| Superintendent | 0.41837 |
| shows birth rates | 0.605477 |
| U.S. teen birth | 0.748672 |
| teens | 0.693261 |
| assistance | 0.419735 |
| title | 0.419587 |
| MMWR readers | 0.493744 |
| character translation | 0.491648 |
| file | 0.41983 |
| Persons | 0.419888 |
| teen birth rates | 0.748307 |
| format errors | 0.489643 |
| subject line | 0.512619 |
| Health | 0.430695 |
| typeset documents | 0.493104 |
| trade names | 0.496049 |
| official text | 0.488228 |
| non-CDC sites | 0.492571 |
| decreases | 0.521214 |
| References | 0.416523 |
| report | 0.419575 |
| information | 0.419843 |
| Accommodation | 0.4196 |
| electronic conversions | 0.488095 |
|
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| 8501 |
Centers for Disease Control and Prevention |
Html |
en |
Sharon's Videos - Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Commercials and extended videos featuring Sharon, a former smoker who was diagnosed with throat cancer in her thirties. Videos from the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| Shane | 0.276587 |
| Shawn | 0.273631 |
| stomas | 0.313291 |
| TV ad | 0.498581 |
| Smokers campaign | 0.496748 |
| commercials | 0.279259 |
| videos | 0.257602 |
| Sharon | 0.688295 |
| throat cancer | 0.907396 |
| result | 0.268827 |
|
| larynx | 0.3233 |
| loss | 0.261564 |
| condition | 0.25418 |
| young age | 0.496263 |
| smoking | 0.360008 |
| Smokers® campaign | 0.474395 |
| thirties | 0.462696 |
| CDC’s Tips | 0.787125 |
| story | 0.257339 |
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| 10141 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Tailoring Community-Based Wellness Initiatives With Latent Class Analysis - Massachusetts Community Transformation Grant Projects - CDC |
Community-based approaches to preventing chronic diseases are attractive because of their broad reach and low costs, and as such, are integral components of health care reform efforts. Implementing community-based initiatives across Massachusetts’ municipalities presents both programmatic and evaluation challenges. For effective delivery and evaluation of the interventions, establishing a community typology that groups similar municipalities provides a balanced and cost-effective approach. |
| Community Transformation Grant | 0.650404 |
| public health interventions | 0.67949 |
| classes | 0.647487 |
| public health practitioners | 0.618062 |
| small urban communities | 0.651919 |
| resident health behaviors | 0.615414 |
| latent class analysis | 0.830621 |
| diverse housing stock | 0.628002 |
| separate class solutions | 0.617995 |
| obesity-related health behaviors | 0.63089 |
| negative health outcomes | 0.615587 |
| health outcomes | 0.76453 |
| worse health outcomes | 0.635293 |
| Public Health Fund | 0.625183 |
| health care reform | 0.621506 |
| median household income | 0.691573 |
| minimum class probability | 0.679393 |
| community-based public health | 0.632986 |
| health behaviors | 0.933286 |
| class | 0.854523 |
| Massachusetts Medical School | 0.644842 |
| public health | 0.769845 |
| mental health problems | 0.612341 |
| class membership | 0.612264 |
|
| Massachusetts Community Transformation | 0.623374 |
| wellness community typology | 0.646236 |
| community health planning | 0.624473 |
| key informant interviews | 0.642565 |
| latent class model | 0.647427 |
| western Massachusetts communities | 0.619545 |
| chronic diseases | 0.706971 |
| model fit statistics | 0.669924 |
| large share | 0.64277 |
| average health outcomes | 0.619852 |
| health care costs | 0.611859 |
| municipalities | 0.700387 |
| physical activity | 0.650495 |
| community health centers | 0.640669 |
| 10-class solution | 0.636078 |
| latent classes | 0.636976 |
| lower-income rural communities | 0.615915 |
| community-based wellness initiatives | 0.708767 |
| excellent classification certainty | 0.636061 |
| retail environment | 0.729477 |
| communities | 0.718786 |
| Metropolitan Area Planning | 0.629984 |
| Area Planning Council | 0.62998 |
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| 10783 |
Centers for Disease Control and Prevention |
Html |
en |
ATSDR report finds drywall imported from China in the 2000s may have affected human health | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| report estimates | 0.343375 |
| Urban Development | 0.341938 |
| findings | 0.228567 |
| Health Consultation | 0.369138 |
| Commission | 0.225168 |
| North America | 0.351333 |
| state agencies | 0.346769 |
| drywall samples | 0.661254 |
| China | 0.301949 |
| HUD | 0.234244 |
| problem drywall | 0.933922 |
| sulfur compounds | 0.401205 |
| Chinese-Manufactured Drywall | 0.710198 |
| CPSC | 0.2946 |
| Consumer Product Safety | 0.472203 |
| conclusions | 0.235682 |
|
| comparison purposes | 0.350176 |
| Exposure | 0.231365 |
| laboratory tests | 0.372701 |
| analysis | 0.226909 |
| indoor air | 0.371546 |
| u.s. department | 0.436647 |
| Possible Health Implications | 0.516518 |
| ATSDR | 0.306597 |
| Sulfur Gases Emitted | 0.566907 |
| new homes | 0.335905 |
| HUMAN SERVICES | 0.342692 |
| http://www.atsdr.cdc.gov/drywall | 0.224608 |
| modeling researchers | 0.372435 |
| small number | 0.358486 |
| support | 0.224976 |
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| 11271 |
Centers for Disease Control and Prevention |
Html |
en |
Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries Reported by Farm Operators, 15-17 Year-Olds, United States |
Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries Reported by Farm Operators, 15-17 Year-Olds, United States |
| Download data | 0.276269 |
| United States | 0.678189 |
| rates | 0.25521 |
| farm operators | 0.72207 |
| Work-related Injuries Reported | 0.749833 |
| Young Worker Employment | 0.856737 |
|
| Illnesses | 0.203941 |
| Childhood Agricultural Injury | 0.427866 |
| Young Worker Safety | 0.535375 |
| work-related injuries | 0.927131 |
| Year-Olds | 0.250935 |
| Download image file | 0.426536 |
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| 12047 |
Centers for Disease Control and Prevention |
Html |
en |
You Only Have One Pair of Eyes | Contact Lenses |CDC |
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| hands | 0.341752 |
| email address | 0.668591 |
| questions | 0.337711 |
| hot tub | 0.517826 |
| year— | 0.335792 |
| tips | 0.340272 |
| caps | 0.337282 |
| healthy eyes | 0.523751 |
| glasses | 0.337863 |
| case—don’t | 0.480553 |
| clean tissue | 0.48926 |
| solution | 0.475293 |
| PPT | 0.347468 |
| Wash | 0.345237 |
| eye pain | 0.465556 |
| Rub | 0.419574 |
| MPEG | 0.338385 |
| lenses | 0.338136 |
|
| red eyes | 0.486001 |
| Carry | 0.337386 |
| additional posters | 0.517938 |
| new case | 0.475472 |
| Title | 0.343138 |
| different file formats | 0.631239 |
| multiple sizes | 0.520779 |
| water | 0.374514 |
| pair | 0.40208 |
| eye doctor | 0.908329 |
| Posters page | 0.503166 |
| series | 0.342887 |
| time | 0.340916 |
| eye infections | 0.498252 |
| spit | 0.347474 |
| contacts | 0.748864 |
| blurred vision | 0.509009 |
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| 13283 |
Centers for Disease Control and Prevention |
Html |
en |
Consensus on the Development of Vaccines against NaturallyAcquired Melioidosis - Volume 21, Number 6-June 2015 - EmergingInfectious Disease journal - CDC |
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| animal models | 0.551215 |
| potential vaccine candidates | 0.497449 |
| biodefense vaccine development | 0.488648 |
| Burkholderia pseudomallei infection | 0.539 |
| potential melioidosis vaccine | 0.510797 |
| head-to-head candidate vaccine | 0.513403 |
| vaccine candidate evaluation | 0.497938 |
| National Vaccine Institute | 0.508877 |
| environmental B. pseudomallei | 0.55731 |
| diabetic mouse models | 0.542373 |
| head-to-head vaccine assessment | 0.47587 |
| diabetic mice | 0.472917 |
| vaccine candidate | 0.513961 |
| B. pseudomallei infection | 0.601831 |
| TB vaccine | 0.471524 |
| vaccine candidates | 0.660316 |
| melioidosis candidate vaccines | 0.47947 |
| NHP model | 0.484725 |
| pseudomallei subcutaneous inoculation | 0.551922 |
| head-to-head vaccine candidate | 0.510016 |
| B. pseudomallei | 0.92315 |
| Melioidosis Vaccine Development | 0.536594 |
| candidate vaccines | 0.675778 |
| Public Health England | 0.572863 |
| diabetic mouse model | 0.523782 |
|
| mouse models | 0.671899 |
| pseudomallei challenge strains | 0.518829 |
| B. pseudomallei inoculation | 0.597021 |
| candidate vaccine | 0.543364 |
| Burkholderia pseudomallei strain | 0.516477 |
| Burkholderia pseudomallei elicits | 0.514889 |
| inhalational B. pseudomallei | 0.525592 |
| melioidosis vaccine evaluation | 0.494277 |
| melioidosis vaccine | 0.644712 |
| head-to-head comparison | 0.529883 |
| Burkholderia pseudomallei | 0.753283 |
| different vaccine candidates | 0.49257 |
| candidate vaccine developers | 0.517543 |
| public health | 0.617738 |
| vaccine development | 0.592362 |
| NHP models | 0.487677 |
| B. pseudomallei challenge | 0.654643 |
| United Kingdom | 0.634776 |
| virulent Burkholderia pseudomallei | 0.515805 |
| subcutaneous B. pseudomallei | 0.560195 |
| melioidosis vaccines | 0.506635 |
| vaccine | 0.717172 |
| infection vaccine development | 0.501879 |
| optimal candidate vaccines | 0.484763 |
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| 13814 |
Centers for Disease Control and Prevention |
Html |
en |
Depressive Symptoms and Behavior-Related Risk Factors, Italian Population-Based Surveillance System, 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. |
| excessive alcohol consumers | 0.303537 |
| mental health | 0.222912 |
| single occasion | 0.202055 |
| general population | 0.238658 |
| depressive symptoms | 0.962075 |
| moderate physical activity | 0.221615 |
| vigorous physical activity | 0.222601 |
| heavy yard work | 0.21273 |
| public health | 0.309913 |
| PASSI | 0.207145 |
| chronic medical conditions | 0.206846 |
| current depressive symptoms | 0.252683 |
| body mass index | 0.217021 |
| Daily physical activity | 0.215771 |
|
| cigarette smokers | 0.213477 |
| people | 0.210422 |
| physical activity | 0.562641 |
| Italian behavioral risk | 0.294773 |
| leisure-time physical activity | 0.434194 |
| major depressive disorder | 0.222454 |
| chronic disease | 0.20726 |
| behavioral risk factor | 0.345829 |
| sociodemographic characteristics | 0.25689 |
| risk factor surveillance | 0.348295 |
| depression | 0.218092 |
| behavior-related risk factors | 0.76268 |
| physical activity bouts | 0.215742 |
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