| 754 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Trends in Tobacco Smoke Exposure and Blood Lead Levels Among Youths and Adults in the United States: The National Health and Nutrition Examination Survey, 1999"2008 - CDC |
Tobacco smoke is a source of exposure to thousands of toxic chemicals including lead, a chemical of longstanding public health concern. We assessed trends in blood lead levels in youths and adults with cotinine-verified tobacco smoke exposure by using 10 years of data from the National Health and Nutrition Examination Survey. |
| Second-hand smoke exposure | 0.511938 |
| government-defined poverty threshold | 0.519892 |
| United States | 0.590733 |
| Blood Lead Epidemiology | 0.481975 |
| self-reported nonsmokers | 0.474839 |
| relevant financial relationships | 0.4883 |
| adults | 0.471556 |
| unexposed nonsmokers | 0.473104 |
| low-level lead exposure | 0.517626 |
| smokers | 0.493366 |
| occupational exposure | 0.490266 |
| exposure groups | 0.48649 |
| Adult Blood Lead | 0.486322 |
| MMWR Morb Mortal | 0.472217 |
| NHANES job categories | 0.510419 |
| Patricia A. Richter | 0.489024 |
| Disease Control | 0.589975 |
| higher exposure | 0.508049 |
| lead exposure jobs | 0.526585 |
| smoking | 0.487163 |
| public health concern | 0.508045 |
| smoke exposure | 0.778028 |
| Nutrition Examination Survey | 0.573004 |
| public health | 0.556515 |
|
| smoke exposure level | 0.541591 |
| Morb Mortal Wkly | 0.472216 |
| poverty threshold | 0.616788 |
| higher SHS exposure | 0.717653 |
| lower exposure | 0.505153 |
| secondhand smoke exposure | 0.570241 |
| cotinine-verified tobacco smoke | 0.49545 |
| higher BLLs | 0.484316 |
| Consumer Price Index | 0.51526 |
| BLLs | 0.510413 |
| National Health | 0.531083 |
| Chronic Disease Prevention | 0.481409 |
| SHS exposure | 0.931938 |
| in-home lead exposure | 0.51561 |
| Ellen E. Bishop | 0.490878 |
| nonsmokers | 0.572703 |
| involuntary exposure | 0.482118 |
| environmental exposure | 0.479837 |
| tobacco smoke exposure | 0.72362 |
| lower SHS exposure | 0.668943 |
| higher mean BLLs | 0.482875 |
| lead exposure | 0.610361 |
| blood lead levels | 0.840188 |
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| 941 |
Centers for Disease Control and Prevention |
Html |
en |
Highlights: Minors' Access to Tobacco |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| 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 |
| 7043 |
Centers for Disease Control and Prevention |
Html |
en |
Work-Related Asthma - 38 States and District of Columbia, 2006-2009 |
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. |
| work-exacerbated asthma | 0.60086 |
| occupational asthma | 0.605161 |
| current asthma prevalence | 0.661665 |
| WRA range | 0.630927 |
| ACBS participants | 0.511611 |
| Risk Factor Surveillance | 0.476019 |
| estimated proportion | 0.488259 |
| health risk behaviors | 0.484755 |
| WRA diagnosis | 0.674996 |
| adult asthma | 0.568565 |
| asthma care | 0.583385 |
| severe asthma | 0.560656 |
| national health agencies | 0.487151 |
| current asthma | 0.949653 |
| BRFSS | 0.517781 |
| similar occupational exposures | 0.486921 |
| new onset asthma | 0.638144 |
| occupation information | 0.486847 |
| annual average | 0.54424 |
| asthma morbidity | 0.569303 |
| WRA prevalence | 0.638084 |
| WRA respondents | 0.633617 |
| proportion | 0.521608 |
| ever-employed adults | 0.584609 |
| United States | 0.478076 |
|
| WRA | 0.902497 |
| WRA epidemiology | 0.613885 |
| preventive health practices | 0.484725 |
| work-related asthma | 0.705842 |
| states | 0.546174 |
| concurrent asthma | 0.599312 |
| preventable occupational lung | 0.481373 |
| BRFSS respondents | 0.484696 |
| state asthma programs | 0.597575 |
| estimated annual average | 0.491515 |
| expanded WRA surveillance.** | 0.644904 |
| WRA management | 0.626341 |
| random-digit–dialed telephone survey | 0.47654 |
| BRFSS completion date | 0.48268 |
| BRFSS state coordinators | 0.477108 |
| health | 0.524666 |
| Gretchen E. Knoeller | 0.521599 |
| ACBS | 0.650735 |
| American Thoracic Society | 0.477722 |
| WRA cases | 0.713398 |
| asthma symptoms | 0.611736 |
| information | 0.505827 |
| WRA surveillance | 0.654288 |
| Asthma Call-Back Survey | 0.621432 |
|
CLICK HERE |
| 8306 |
Centers for Disease Control and Prevention |
Html |
en |
About School Violence |
Youth violence is the intentional use of physical force or power by a young person, between the ages of 10 and 24, against another person, group, or community, with the youth’s behavior likely to cause physical or psychological harm. |
| country | 0.34134 |
| negative effect | 0.512555 |
| learning process | 0.497853 |
| United States | 0.53625 |
| School violence | 0.83209 |
| Parents | 0.337734 |
| broader public health | 0.700732 |
| students | 0.424125 |
| U.S. schools | 0.508515 |
| physical force | 0.488784 |
| broader community | 0.530317 |
| problem | 0.335699 |
| universities | 0.344082 |
| youth violence | 0.932509 |
| teachers | 0.337682 |
|
| safe havens | 0.518478 |
| power | 0.335085 |
| violent behavior | 0.494217 |
| administrators | 0.342104 |
| Acts | 0.339559 |
| psychological harm | 0.508627 |
| group | 0.334936 |
| pre-kindergarten | 0.356618 |
| Data Sources | 0.498041 |
| colleges | 0.345278 |
| pathways | 0.342976 |
| early childhood | 0.49278 |
| 12th grade | 0.545101 |
| person | 0.335416 |
|
CLICK HERE |
| 9399 |
Centers for Disease Control and Prevention |
Html |
es |
Capacitación y asistencia técnica para mejorar la capacidad de formación en Centros de Investigación para la prevención y sus aliados |
null |
| salud pública | 0.903646 |
| Rubel SK | 0.757821 |
| institución académica | 0.662802 |
| Grunbaum JA | 0.696198 |
|
| Green DC | 0.68137 |
| Spadaro AJ | 0.773203 |
| Dawkins NU | 0.736744 |
| Chronic Dis | 0.722214 |
|
CLICK HERE |
| 11239 |
Centers for Disease Control and Prevention |
Html |
es |
Día Mundial de la Hepatitis: 28 de julio |
La hepatitis viral es la causa principal de la cirrosis y del cáncer del hígado en todo el mundo. Más de 400 millones de personas tienen hepatitis viral crónica y la mayoría de ellas no saben que están infectadas |
| Archivo Apple Quicktime | 0.462184 |
| Organización Mundial | 0.441017 |
| considerable riesgo | 0.438771 |
| hepatitis a | 0.749622 |
| práctica intervenciones | 0.443999 |
| hepatitis b | 0.934873 |
| hepatitis c | 0.639159 |
| mejores prácticas | 0.643606 |
| Archivo Microsoft PowerPoint | 0.466475 |
| Archivo Adobe PDF | 0.461245 |
| Estados Unidos | 0.90811 |
|
| alta incidencia | 0.43908 |
| Archivo Microsoft | 0.575345 |
| Islas Solomón | 0.443356 |
| Oriente Medio | 0.437996 |
| corto plazo | 0.447104 |
| Archivo Microsoft Word | 0.465839 |
| Sierra Leona | 0.445057 |
| DÃa Mundial | 0.535516 |
| Archivo Zip Comprimido | 0.461604 |
| Archivo Microsoft Excel | 0.460997 |
|
CLICK HERE |
| 15657 |
Centers for Disease Control and Prevention |
Html |
null |
Cases in Pregnant Women |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
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CLICK HERE |
| 16127 |
Centers for Disease Control and Prevention |
Html |
en |
Why Refer to a Lifestyle Change Program? | Diabetes |
National Diabetes Prevention Program |
| nonfederal panel | 0.43093 |
| prevention experts | 0.429694 |
| practice | 0.321955 |
| lifestyle change programs | 0.810391 |
| Force | 0.321688 |
| recommendation | 0.328505 |
| new-onset diabetes | 0.471275 |
| Research | 0.322516 |
| type | 0.344824 |
| wellness centers | 0.423391 |
| online program | 0.428454 |
| worksites | 0.3426 |
| diabetes prevention lifestyle | 0.647766 |
| university-based continuing education | 0.539579 |
| CDC-recognized lifestyle change | 0.936311 |
| insurer | 0.330255 |
| health care clinics | 0.527772 |
| faith-based organizations | 0.43018 |
|
| insurers | 0.326265 |
| employer | 0.323686 |
| diet | 0.321511 |
| increased risk | 0.434445 |
| pharmacies | 0.328036 |
| Preventive Services Task | 0.560615 |
| health care | 0.538132 |
| public health | 0.433391 |
| programs—like CDC-recognized lifestyle | 0.598004 |
| effectiveness | 0.322828 |
| strong evidence | 0.426951 |
| covered benefit | 0.449155 |
| patients | 0.461372 |
| lifestyle change program | 0.775548 |
| community-based organizations | 0.425542 |
| preventive health behaviors | 0.57513 |
| physical activity promotion | 0.541836 |
|
CLICK HERE |
| 16160 |
Centers for Disease Control and Prevention |
Html |
null |
Prescription Drug Monitoring Programs (PDMPs) |
null |
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CLICK HERE |
| 16311 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Adult Day Services Centers |
null |
| National Study | 0.646859 |
| Adult Day Services | 0.602045 |
| Long-Term Care Providers | 0.967617 |
| United States | 0.785337 |
| standard errors | 0.637193 |
| Source | 0.448527 |
| NCHS Data Brief | 0.830868 |
| Data Brief No. | 0.781748 |
|
| PDF | 0.480033 |
| MB | 0.470641 |
| Center Participant Characteristics | 0.624359 |
| Center Ownership | 0.616056 |
| Services Center Characteristics | 0.609099 |
| KB | 0.469673 |
| State estimates | 0.644027 |
| Variation | 0.462722 |
|
CLICK HERE |