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Centers for Disease Control and Prevention |
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Does Breast or Ovarian Cancer Run in Your Family? | CDC Features |
If you have close relatives with breast or ovarian cancer, you may be at higher risk for developing these diseases. Does your family health history put you at higher risk? Would you benefit from cancer genetic counseling and testing? |
| BRCA genetic testing | 0.265609 |
| hereditary breast | 0.201117 |
| higher risk | 0.339825 |
| genetic counselor | 0.240953 |
| close relatives | 0.285434 |
| ovarian cancer | 0.817147 |
| BRCA mutations | 0.312939 |
| grade prostate cancer | 0.219576 |
| ovarian cancers | 0.230275 |
| breast cancer | 0.544837 |
| BRCA1 | 0.279785 |
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| breast cancers | 0.228427 |
| genetic counseling | 0.258801 |
| BRCA2 mutation | 0.323739 |
| family health history | 0.946254 |
| cancer genetic counseling | 0.224499 |
| genetic testing | 0.360047 |
| mammography screening | 0.212379 |
| health history information | 0.270079 |
| possible cancer risks | 0.201961 |
| breast | 0.663626 |
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Centers for Disease Control and Prevention |
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QuickStats: Age-Adjusted Death Rates* for the 10 Leading Causes of Death - National Vital Statistics System, United States, 2008 and 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. |
| mmwrq@cdc.gov. | 0.506601 |
| endorsement | 0.443586 |
| data | 0.416582 |
| Alternate Text | 0.496028 |
| Human Services | 0.563475 |
| assistive technology | 0.513228 |
| MMWR HTML versions | 0.563425 |
| U.S. Department | 0.559478 |
| shows age-adjusted death | 0.599797 |
| identification | 0.415779 |
| electronic PDF version | 0.55976 |
| e-mail | 0.437449 |
| deaths | 0.484914 |
| Contact GPO | 0.507895 |
| diseases | 0.472686 |
| commercial sources | 0.494271 |
| National Vital Statistics | 0.578556 |
| heart | 0.433718 |
| current prices | 0.489625 |
| rankings | 0.434738 |
| original paper copy | 0.563963 |
| age-adjusted death rate | 0.997116 |
| United States | 0.872995 |
| malignant neoplasms | 0.622578 |
|
| original MMWR paper | 0.560325 |
| cause | 0.432589 |
| Superintendent | 0.418378 |
| assistance | 0.418566 |
| title | 0.418418 |
| MMWR readers | 0.493946 |
| character translation | 0.489701 |
| file | 0.418657 |
| Persons | 0.418719 |
| causes | 0.448322 |
| format errors | 0.48975 |
| preliminary age-adjusted death | 0.747223 |
| subject line | 0.509764 |
| Health | 0.42851 |
| rates | 0.41666 |
| typeset documents | 0.493138 |
| trade names | 0.494342 |
| official text | 0.486991 |
| non-CDC sites | 0.491614 |
| References | 0.415642 |
| report | 0.418404 |
| information | 0.41867 |
| Accommodation | 0.418431 |
| electronic conversions | 0.48725 |
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Centers for Disease Control and Prevention |
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Regional Elimination of Measles, 2000-2011 - Errata: Vol. 62, No. 2 |
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. | 0.489102 |
| Eastern Mediterranean row | 0.559215 |
| endorsement | 0.433107 |
| Global Control | 0.485941 |
| original MMWR paper | 0.532168 |
| substantial reductions | 0.484447 |
| Human Services | 0.531126 |
| Western Pacific row | 0.558222 |
| assistive technology | 0.492828 |
| assistance | 0.415304 |
| MMWR HTML versions | 0.534619 |
| U.S. Department | 0.531267 |
| MMWR readers | 0.477261 |
| character translation | 0.473189 |
| measles cases | 0.620203 |
| measles incidence | 0.632784 |
| number | 0.457821 |
| file | 0.415383 |
| electronic PDF version | 0.530992 |
| Mortality Estimates | 0.51702 |
| Persons | 0.415426 |
| e-mail | 0.431073 |
| measles mortality | 0.723412 |
| South-East Asia row | 0.55933 |
|
| routine immunization services | 0.549936 |
| format errors | 0.476234 |
| sentence | 0.431909 |
| World Health Organization | 0.548966 |
| subject line | 0.491061 |
| Contact GPO | 0.485907 |
| typeset documents | 0.475266 |
| trade names | 0.476793 |
| commercial sources | 0.476744 |
| official text | 0.471307 |
| table title | 0.484898 |
| Total row | 0.491166 |
| current prices | 0.473549 |
| non-CDC sites | 0.474903 |
| original paper copy | 0.533304 |
| measles deaths | 0.917994 |
| report | 0.442241 |
| information | 0.415392 |
| page | 0.440555 |
| Accommodation | 0.415195 |
| percentage mortality reduction | 0.682681 |
| electronic conversions | 0.470793 |
| printable versions | 0.469038 |
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Centers for Disease Control and Prevention |
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Announcements: National Infant Immunization Week - April20-27, 2013 |
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. | 0.464369 |
| CDC Foundation | 0.533079 |
| Human Services | 0.564234 |
| assistive technology | 0.466491 |
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| advance equity | 0.431142 |
| NIIW | 0.398695 |
| U.S. Department | 0.564548 |
| MMWR HTML versions | 0.555428 |
| CDC Childhood Immunization | 0.90056 |
| electronic PDF version | 0.542358 |
| state health departments | 0.586019 |
| World Health Organization | 0.585606 |
| recent outbreaks | 0.451357 |
| Additional information | 0.572068 |
| record highs | 0.453635 |
| Contact GPO | 0.465328 |
| annual event | 0.452158 |
| commercial sources | 0.439293 |
| current prices | 0.435085 |
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| immunization schedule | 0.686825 |
| United States | 0.44867 |
| high immunization rates | 0.817624 |
|
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| vaccination services | 0.449117 |
| MMWR readers | 0.44639 |
| universal access | 0.444832 |
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| National Infant Immunization | 0.830812 |
| World Immunization | 0.801235 |
| national immunization partners | 0.827144 |
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| childhood immunizations | 0.460256 |
| community activities | 0.450755 |
| public health | 0.456891 |
| format errors | 0.434055 |
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| typeset documents | 0.440763 |
| trade names | 0.439392 |
| paper copy | 0.557024 |
| official text | 0.43073 |
| non-CDC sites | 0.438314 |
| Champion Award | 0.44286 |
| vaccine-preventable diseases | 0.46459 |
| electronic conversions | 0.430403 |
| childhood vaccines | 0.490574 |
|
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| 8682 |
Centers for Disease Control and Prevention |
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Obliterative Bronchiolitis in Workers in a Coffee-ProcessingFacility - Texas, 2008-2012 |
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. |
| diffuse bronchial wall | 0.654991 |
| obstructive lung disease | 0.730886 |
| flavored coffee beans | 0.663142 |
| quantitative risk assessment | 0.65413 |
| lung biopsy findings | 0.670059 |
| Texas Health Science | 0.701496 |
| flavoring-chemical related disease | 0.657662 |
| unflavored coffee area | 0.661458 |
| cylindrical bronchiectasis | 0.659579 |
| potential occupational exposure | 0.662452 |
| inhaled steroids | 0.668979 |
| open lung biopsy | 0.722584 |
| severe obstruction | 0.694094 |
| mild cylindrical bronchiectasis | 0.654309 |
| CDC health hazard | 0.657542 |
| coffee-processing facility | 0.757655 |
| work-related obliterative bronchiolitis | 0.804371 |
| small coffee-processing facility | 0.674233 |
| Occupational Health Sciences | 0.657898 |
| liquid flavorings | 0.6705 |
| constrictive bronchiolitis | 0.738459 |
| exposure | 0.67117 |
| potentially exposed workers | 0.679101 |
| obstructive pulmonary disease | 0.659078 |
| Initial lung function | 0.677771 |
|
| repeat lung function | 0.678161 |
| flavoring room | 0.686919 |
| lung transplant | 0.668266 |
| irreversible lung disease | 0.673598 |
| material safety data | 0.699926 |
| Consequent open lung | 0.674345 |
| high index | 0.689379 |
| lung function testing | 0.818067 |
| quality control laboratory | 0.655971 |
| inflammatory cell infiltrate | 0.653803 |
| flavoring industries | 0.679437 |
| Respiratory Disease Studies | 0.658438 |
| flavoring materials | 0.6551 |
| workers | 0.679813 |
| mucus clearance therapy | 0.654178 |
| air trapping | 0.681578 |
| chronic obstructive lung | 0.671369 |
| Health Science Center | 0.701491 |
| bronchial wall | 0.658773 |
| roasted coffee beans | 0.761293 |
| et al | 0.671643 |
| obliterative bronchiolitis | 0.931122 |
| flavoring production industries | 0.680465 |
| safety data sheets | 0.69992 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Barriers to Colorectal Cancer Screening Among American Indian Men Aged 50 or Older, Kansas and Missouri, 2006 - 2008 - CDC |
American Indian (AI) men have some of the highest rates of colorectal cancer (CRC) in the United States but among the lowest screening rates. Our goal was to better understand awareness and discourse about colorectal cancer in a heterogeneous group of AI men in the Midwestern United States. |
| American Indian community | 0.538341 |
| later CRC stages | 0.617399 |
| lowest screening rates | 0.574177 |
| health insurance | 0.542503 |
| cultural factors | 0.576302 |
| CRC information | 0.558691 |
| Health Dispar Res | 0.543923 |
| colon cancer testing | 0.52207 |
| CRC mortality rates | 0.627444 |
| Western medicine | 0.560012 |
| Medicine Wheel Consulting | 0.512607 |
| Siteman Cancer Center | 0.534287 |
| colorectal cancer screening | 0.588715 |
| health care providers | 0.546039 |
| culturally sensitive intervention | 0.524858 |
| National Institutes | 0.53523 |
| AI men | 0.960885 |
| general CRC knowledge | 0.623219 |
| colorectal cancer | 0.825253 |
| CRC screening | 0.708984 |
| traditional medicine | 0.557699 |
| Kansas Medical Center | 0.622882 |
| Public Health Sciences | 0.546684 |
| Traditional perspectives | 0.520129 |
|
| female AI/AN elders | 0.520213 |
| traditional ways | 0.5214 |
| participatory research method | 0.510528 |
| AI people | 0.524683 |
| qualitative text analysis | 0.520426 |
| community members | 0.634773 |
| United States | 0.520818 |
| community leaders | 0.540579 |
| Human Subjects Committee | 0.519936 |
| Midwestern United States | 0.519479 |
| focus groups | 0.643901 |
| National Cancer Institute | 0.60041 |
| traditional healing practices | 0.524684 |
| health care | 0.765741 |
| American Indian Cancer | 0.540708 |
| participants | 0.54774 |
| AI clinicians | 0.531406 |
| Indian Health Hospitals | 0.545389 |
| CRC discussions | 0.554007 |
| AI adults | 0.534487 |
| Indian Health Service | 0.732462 |
| subsequent intervention strategies | 0.519186 |
| Washington University School | 0.510545 |
| Public Health Service | 0.542104 |
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Tribal Consultation Sessions - Tribal Support |
CDC/ATSDR Tribal Support is the primary link between CDC, the Agency for Toxic Substance and Disease Registry (ATSDR), and tribal governments. CDC/ATSDR’s tribal support activities focus on fulfilling CDC's supportive role in ensuring that American Indian/Alaska Native (AI/AN) communities receive public health services that keep them safe and healthy. |
| Government-to-government consultation | 0.46402 |
| winter | 0.326309 |
| sessions—one | 0.326435 |
| number | 0.327467 |
| tribal officials | 0.473918 |
| Atlanta | 0.326356 |
| tribal consultation sessions | 0.934084 |
| regional tribal consultation | 0.584336 |
| procedures | 0.327765 |
| inherent rights | 0.49656 |
| sovereignty | 0.343581 |
| Key components | 0.453561 |
| decisions | 0.330035 |
| designees | 0.326561 |
| Tribal Consultation Policy | 0.600377 |
| CDC staff | 0.670042 |
|
| CDC leadership | 0.691239 |
| government-to-government basis | 0.47754 |
| opportunity | 0.328316 |
| supplants | 0.328251 |
| opportunities | 0.327435 |
| annual HHS | 0.468751 |
| CDC tribal consultation | 0.794425 |
| forum | 0.329434 |
| CDC’s participation | 0.652562 |
| self-governance | 0.331829 |
| Tribal Advisory Committee | 0.584628 |
| tribal leaders | 0.69883 |
| federal trust responsibility | 0.640901 |
| Indian/Alaska Native governments | 0.674703 |
| Biannual Tribal Consultation | 0.83481 |
| representatives | 0.41781 |
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Centers for Disease Control and Prevention |
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MMWR News Synopsis for January 16, 2014 | CDC Online Newsroom | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| vulnerable infants | 0.585258 |
| average number | 0.544673 |
| American Academy | 0.534443 |
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| mental health | 0.552701 |
| Duke J. Ruktanonchai | 0.657058 |
| MMWR notice | 0.533658 |
| U.S. States | 0.548414 |
| early reports | 0.636067 |
| current cigarette smokers | 0.714637 |
| physical violence | 0.583733 |
| effective strategies | 0.529833 |
| premature infants | 0.713719 |
| population health | 0.546283 |
| short supply | 0.537863 |
| Service Officer | 0.533754 |
| health care costs | 0.708114 |
| inform policy decisions | 0.63282 |
| Texas Department | 0.540046 |
| highest risk | 0.534721 |
| hard-hitting media campaigns | 0.692344 |
| HUMAN SERVICES | 0.530752 |
| CDC Media Relations | 0.942762 |
| CDC Epidemic Intelligence | 0.690143 |
| zinc deficiency disorders | 0.661045 |
|
| effective actions | 0.55351 |
| United States | 0.620912 |
| injectable zinc | 0.699913 |
| State Health Services | 0.683694 |
| tobacco price increases | 0.682015 |
| percent | 0.706666 |
| Rigorous evaluation | 0.532306 |
| parenteral nutrition | 0.542229 |
| Lieutenant Commander | 0.540375 |
| U.S. DEPARTMENT | 0.541578 |
| national shortages | 0.54714 |
| Healthy People | 0.537075 |
| Acute Illness Associated | 0.629217 |
| public health | 0.788557 |
| birth weight | 0.536038 |
| sexual violence | 0.657683 |
| U.S. adults | 0.823481 |
| vital component | 0.532608 |
| daily smokers | 0.715762 |
| public health actions | 0.666463 |
| Cigarette smoking | 0.556583 |
| public health problem | 0.663412 |
| Public Health Service | 0.685515 |
| intimate partner violence | 0.697342 |
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Centers for Disease Control and Prevention |
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Healthy Weight: Assessing Your Weight: BMI: About BMI forChildren and Teens |
or children and teens, BMI is age- and sex-specific and is often referred to as BMI-for-age. In children, a high amount of body fat can lead to weight-related diseases and other health issues and being underweight can also put one at risk for health issues. Learn more. |
| BMI categories | 0.620747 |
| American Academy | 0.467709 |
| J. Clin | 0.467906 |
| direct measures | 0.465367 |
| health care provider | 0.473077 |
| CDC growth chart | 0.490226 |
| different BMI percentiles | 0.65691 |
| health issues | 0.469434 |
| high BMI | 0.688224 |
| 85th percentile | 0.467928 |
| children | 0.640853 |
| weight status categories | 0.589581 |
| appropriate health screenings | 0.469111 |
| Childhood Obesity Facts | 0.509778 |
| different weight status | 0.476805 |
| Body Mass Index | 0.481664 |
| adult BMI | 0.627989 |
| overweight children | 0.475553 |
| severely obese children | 0.487879 |
| cdc growth charts | 0.708562 |
| BMI Percentile Calculator | 0.719004 |
| weight weight status | 0.490918 |
| 95th percentile | 0.592124 |
| body fatness | 0.551782 |
|
| United States | 0.529628 |
| BMI-for-age weight status | 0.485134 |
| teens | 0.501455 |
| skinfold thickness measurements | 0.529131 |
| 10-year-old boy | 0.509488 |
| BMI | 0.915089 |
| BMI levels | 0.629597 |
| BMI value | 0.618405 |
| CDC BMI-for-age growth | 0.49532 |
| healthy Danish children | 0.485192 |
| teen obesity trends | 0.496459 |
| certain age groups | 0.473769 |
| healthy weight | 0.49194 |
| Boys Growth Chart | 0.487689 |
| teens age | 0.470884 |
| percentile growth charts | 0.52035 |
| Girls Growth Chart | 0.486685 |
| childhood obesity | 0.592758 |
| diagnostic tool | 0.467774 |
| et al | 0.507483 |
| Vital Health Stat. | 0.463602 |
| high body fatness | 0.502731 |
| BMI calculator | 0.646368 |
| sample BMI numbers | 0.663699 |
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Centers for Disease Control and Prevention |
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Investigation of Childhood Lead Poisoning from ParentalTake-Home Exposure from an Electronic Scrap Recycling Facility -Ohio, 2012 |
Nick Newman, DO1; Camille Jones, MD2; Elena Page, MD3; Diana Ceballos, PhD3; Aalok Oza, MS3 (Author affiliations at end of text). |
| occupational health concern | 0.429607 |
| Department Childhood Lead | 0.513876 |
| childhood lead poisonings | 0.482797 |
| Adult Blood Lead | 0.465966 |
| sufficient evidence | 0.48495 |
| Lead Poisoning Prevention | 0.620502 |
| children | 0.494943 |
| cathode ray tubes | 0.942528 |
| elevated blls | 0.54289 |
| Cincinnati Health Department | 0.701037 |
| ТЕg/dL | 0.449625 |
| personal protective equipment | 0.489785 |
| Environmental Health Specialty | 0.526341 |
| lead poisoning | 0.786917 |
| e-scrap recycling facility | 0.432983 |
| lead paint | 0.474744 |
| take-home exposure | 0.480974 |
| employees | 0.433661 |
| lead exposure | 0.665365 |
| Poisoning Prevention Program | 0.577876 |
| Pediatric Environmental Health | 0.518333 |
| United States | 0.461753 |
| National Toxicology Program | 0.494537 |
| Health Department Childhood | 0.480602 |
|
| permissible exposure limit | 0.436413 |
| blood lead | 0.47657 |
| Occupational Safety | 0.571575 |
| hazardous exposures | 0.504229 |
| health hazard evaluation | 0.523865 |
| NIOSH health hazard | 0.496487 |
| NIOSH evaluation | 0.422887 |
| lead risk assessment | 0.57422 |
| Health Specialty Unit | 0.527527 |
| limited evidence | 0.442476 |
| Health Administration | 0.427545 |
| Hospital Pediatric Environmental | 0.498877 |
| detectable lead dust | 0.479493 |
| public health actions | 0.422854 |
| routine lead screening | 0.549092 |
| ray tubes area | 0.42435 |
| lead poisoning incident | 0.491364 |
| environmental lead exposure | 0.552583 |
| NIOSH investigators | 0.524089 |
| childhood lead poisoning | 0.728012 |
| surface lead concentrations | 0.47437 |
| Cincinnati Children | 0.446884 |
| Administration lead standard | 0.463958 |
| current occupational exposure | 0.452204 |
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