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September is World Alzheimer's Month | CDC Features |
Learn more about alzheimer's disease. |
| public health principles | 0.452703 |
| national partners | 0.378686 |
| close collaboration | 0.37425 |
| ethnicity category | 0.385171 |
| disease-related deaths | 0.393304 |
| questions | 0.329264 |
| Association Trial Match | 0.444614 |
| Healthy Aging Program | 0.451885 |
| brain condition | 0.401763 |
| MMWR Study | 0.386977 |
| common form | 0.395433 |
| poor judgment | 0.384445 |
| memory problems | 0.385412 |
| state | 0.324985 |
| related dementias | 0.399368 |
| health behaviors | 0.38349 |
| Current efforts | 0.377172 |
| researchers | 0.324751 |
| Prevention Registry | 0.379919 |
| work | 0.325048 |
| Research Match | 0.384114 |
| person | 0.328305 |
| familiar places | 0.386479 |
| brain changes | 0.390825 |
| brain health | 0.390844 |
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| Alzheimer’s research | 0.563472 |
| multiple factors | 0.385173 |
| wide range | 0.378613 |
| early stages | 0.467258 |
| various health conditions | 0.447981 |
| Alzheimer’s disease | 0.905611 |
| Healthy Brain Initiative | 0.54857 |
| daily activities | 0.394226 |
| odd places | 0.382213 |
| Health Road Map | 0.450962 |
| warning signs | 0.382145 |
| people | 0.331874 |
| chronic conditions | 0.384078 |
| disease increases | 0.416707 |
| high blood pressure | 0.4619 |
| memory loss | 0.464577 |
| health levels | 0.387351 |
| research studies | 0.446235 |
| address cognitive impairment | 0.446018 |
| urgent need | 0.382298 |
| prevention trials | 0.378675 |
| National Partnerships | 0.375917 |
| risk | 0.331189 |
| information | 0.327619 |
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Obesity and extreme obesity rates decline among low-income preschool children |
Childhood obesity is a serious problem in the United States. Learn more... |
| Supplemental Nutrition Program | 0.636234 |
| recent declines | 0.482337 |
| certain populations | 0.470255 |
| Pediatric Nutrition Surveillance | 0.521721 |
| Childhood obesity | 0.689039 |
| sex-specific CDC BMI-for-age | 0.5341 |
| young children | 0.532027 |
| obesity prevalence | 0.719703 |
| obesity | 0.944027 |
| non-Hispanic Asian youth | 0.607929 |
| National Center | 0.546655 |
| NCHS data brief | 0.541548 |
| infants | 0.515041 |
| Special Supplemental Nutrition | 0.639834 |
| body mass index | 0.650167 |
| high body mass | 0.516943 |
| significant decrease | 0.472818 |
| adolescents age | 0.471012 |
| Maps interactive database | 0.526377 |
| MMWR report | 0.541057 |
| low-income families | 0.53275 |
| Health Statistics | 0.47269 |
| Flegal KM | 0.47437 |
| Asians/Pacific Islander | 0.53365 |
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| 95th percentile | 0.476538 |
| overall prevalence | 0.629134 |
| United States | 0.622751 |
| WIC State Agency | 0.586771 |
| brief [PDF-705KB] | 0.538368 |
| CDC National Center | 0.531963 |
| poor health | 0.476449 |
| WIC-PC Survey table | 0.520741 |
| prevalence | 0.915001 |
| Health Statistics. | 0.470686 |
| non-Hispanic blacks | 0.613503 |
| WIC PC | 0.526551 |
| non-Hispanic whites | 0.610516 |
| Fryar CD | 0.476774 |
| young low-income children | 0.730077 |
| American Indians/Alaska Natives | 0.522691 |
| WIC State Agencies | 0.721417 |
| high weight-for-length | 0.609417 |
| preschool-aged children | 0.495647 |
| growth charts | 0.471629 |
| obesity surveillance | 0.60025 |
| United States Department | 0.529316 |
| American Indian/Alaska Native | 0.530002 |
| subsequent obesity | 0.583899 |
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Section 3 of the Tobacco Control Act - Purpose |
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| et seq. | 0.408422 |
| effective oversight | 0.399259 |
| tobacco-related diseases | 0.392632 |
| U.S.C. | 0.319366 |
| adults | 0.315892 |
| Drug Administration | 0.690386 |
| young people | 0.400767 |
| disease risk | 0.386933 |
| distribution | 0.319195 |
| issues | 0.317892 |
| research | 0.32921 |
| illicit trade | 0.394329 |
| division | 0.319131 |
| national standards | 0.399147 |
| harmful components | 0.401029 |
| conjunction | 0.316876 |
| identity | 0.317439 |
| safety | 0.316158 |
| particular concern | 0.402098 |
| dependence | 0.321272 |
| ingredients | 0.31695 |
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| Cosmetic Act | 0.407712 |
| tobacco product manufacturers | 0.576388 |
| dependency effects | 0.393063 |
| tar | 0.318775 |
| public disclosure | 0.399102 |
| flexible enforcement authority | 0.496265 |
| appropriate regulatory controls | 0.45767 |
| public health officials | 0.476151 |
| Federal Food | 0.403781 |
| respect | 0.320015 |
| tobacco industry | 0.573726 |
| tobacco products | 0.979723 |
| marketing | 0.319216 |
| sale | 0.315924 |
| Federal regulatory authority | 0.515324 |
| future | 0.316222 |
| social costs | 0.385155 |
| cessation | 0.317749 |
| purchasers | 0.320228 |
| harmful tobacco products | 0.596546 |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 13_0099 |
Volumen 10 — el 26 de septiembre de 2013. |
| principal objetivo | 0.741313 |
| United States | 0.80281 |
| Public Interest | 0.786457 |
| Venkatesh S | 0.809707 |
| Weatherspoon LJ | 0.813988 |
| Kim S | 0.777759 |
| menor cantidad | 0.736736 |
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| Paek H | 0.779784 |
| Foods Marketed | 0.797592 |
| Media Builder Metrix | 0.946754 |
| Plasencia J | 0.803121 |
| pequeña proporción | 0.74167 |
| Chronic Dis | 0.806487 |
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Health, United States, 2013 includes special section on prescription drugs |
CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States |
| key health measures | 0.461017 |
| insurance coverage | 0.382864 |
| high cholesterol | 0.404893 |
| commonly used classes | 0.470258 |
| Disease Control | 0.396567 |
| prescription drugs | 0.975827 |
| private sector. | 0.38116 |
| federal government | 0.378979 |
| commonly used prescription | 0.66662 |
| Americans | 0.334578 |
| cholesterol-lowering drug | 0.424065 |
| reproductive health | 0.39346 |
| health expenditures | 0.397515 |
| life expectancy | 0.384328 |
| medical visits | 0.388846 |
| statin drugs | 0.472277 |
| private sector | 0.39105 |
| prescription drugs. Key | 0.54256 |
| birth rates | 0.383239 |
| blood thinners | 0.391139 |
| Drug poisoning deaths | 0.453473 |
| health care utilization | 0.462962 |
| United States | 0.485772 |
| 37th annual report | 0.480251 |
| age group | 0.387238 |
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| adults | 0.46668 |
| common prescription drugs | 0.653739 |
| kidney disease | 0.391421 |
| percent | 0.523518 |
| Cardiovascular agents | 0.403956 |
| federal health agencies | 0.490054 |
| Health Statistics. | 0.41248 |
| heart disease | 0.393165 |
| U.S. DEPARTMENT | 0.383604 |
| comprehensive report | 0.406267 |
| cardiovascular disease | 0.414622 |
| health risk behaviors | 0.463139 |
| cold symptoms | 0.390972 |
| health data | 0.412318 |
| retail prescription drugs | 0.582758 |
| cardiovascular agent | 0.485006 |
| opioid analgesics | 0.413377 |
| annual growth | 0.382546 |
| antidepressants | 0.341811 |
| special section | 0.396767 |
| high blood pressure | 0.467424 |
| Prevention’s National | 0.397877 |
| Human Services | 0.481474 |
| past decade | 0.387914 |
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Update: Ebola Virus Disease Epidemic - West Africa, February 2015 |
Incident Management System Ebola Epidemiology Team, CDC; Guinea Interministerial Committee for Response Against the Ebola Virus; World Health Organization; CDC Guinea Response Team; Liberia Ministry of Health and Social Welfare; CDC Liberia Response Team; Sierra Leone Ministry of Health and Sanitation; CDC Sierra Leone Response Team; Viral Special Pathogens Branch, National Center for Emerging and Zoonotic Infectious Diseases, CDC. |
| Port Loko | 0.362369 |
| Guinea Interministerial Committee | 0.580544 |
| Human Services | 0.395463 |
| Ebola virus transmission | 0.515965 |
| ebola virus | 0.709848 |
| Situational Awareness Team | 0.409185 |
| MMWR HTML versions | 0.399708 |
| U.S. Department | 0.395537 |
| Guinea Ministry | 0.402745 |
| Social Welfare | 0.488246 |
| electronic PDF version | 0.396289 |
| nonconfirmed cases | 0.3764 |
| Zoonotic Infectious Diseases | 0.421806 |
| situation reports | 0.364095 |
| National Center | 0.366925 |
| World Health Organization | 0.836556 |
| ongoing Ebola epidemic | 0.499051 |
| Contact GPO | 0.36141 |
| up-to-date infection control | 0.40165 |
| case reporting | 0.3646 |
| CDC Guinea Response | 0.535824 |
| original paper copy | 0.39733 |
| Ebola virus disease | 0.678385 |
| Ebola epidemic | 0.50386 |
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| U.S. Government Printing | 0.401732 |
| original MMWR paper | 0.398351 |
| Sierra Leone | 0.956243 |
| Ebola Epidemiology Team | 0.529863 |
| Special Pathogens Branch | 0.422361 |
| CDC Sierra Leone | 0.577502 |
| Ebola cases | 0.469048 |
| Ebola-related deaths | 0.360601 |
| Western Area | 0.359295 |
| Response Team | 0.451244 |
| FIGURE. Number | 0.364252 |
| case counts | 0.368581 |
| laboratory-confirmed cases | 0.37594 |
| highest number | 0.366673 |
| Liberia Ministry | 0.537876 |
| previously inaccessible communities | 0.406981 |
| Public Health Preparedness | 0.425991 |
| ongoing epidemic | 0.370368 |
| latest World Health | 0.442972 |
| Sierra Leone Ministry | 0.708948 |
| West Africa | 0.543569 |
| total case | 0.405742 |
| CDC Liberia Response | 0.55157 |
| confirmed cases | 0.428541 |
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Preventing Chronic Disease | Diet Quality and History of Gestational Diabetes Mellitus Among Childbearing Women, United States, 2007"2010 - CDC |
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. |
| total HEI-2010 diet | 0.478316 |
| dietary guidelines | 0.487935 |
| component diet quality | 0.527397 |
| diet quality score | 0.607412 |
| type | 0.472232 |
| chronic disease risk | 0.471897 |
| GDM | 0.753096 |
| previous borderline GDM | 0.559862 |
| overall diet quality | 0.776915 |
| Disease Control | 0.473614 |
| overall average diet | 0.471683 |
| smoking status | 0.481597 |
| Introduction
Women | 0.467607 |
| Nutrition Examination Survey | 0.514974 |
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| history | 0.630027 |
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| childbearing women | 0.489815 |
| GDM diagnosis | 0.533982 |
| linear regression models | 0.506958 |
| total diet quality | 0.492787 |
| women | 0.740171 |
| high school graduate | 0.466918 |
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| United States | 0.5296 |
| poorer diet quality | 0.494736 |
| maternal diet quality | 0.484369 |
| GDM data | 0.535315 |
| lower diet quality | 0.504048 |
| sugar diabetes | 0.483849 |
| Healthy Eating Index | 0.475926 |
| recent live infant | 0.479031 |
| average diet quality | 0.505455 |
| recent gestational diabetes | 0.479796 |
| Massachusetts Medical School | 0.526025 |
| borderline diabetes | 0.482732 |
| Diabetes Care | 0.478153 |
| health | 0.521304 |
| HEI-2010 diet quality | 0.519662 |
| poor diet quality | 0.574225 |
| 24-hour dietary recall | 0.47941 |
| physical activity | 0.472994 |
| current diet quality | 0.502472 |
| MyPyramid Equivalents Database | 0.467061 |
| diet quality | 0.943228 |
| American Diabetes Association | 0.480915 |
| diabetes | 0.612957 |
| good-quality overall diet | 0.474945 |
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Sudden Unexpected Infant Death (SUID) and SuddenInfant Death Syndrome (SIDS) - SIDS and SUID - ReproductiveHealth |
null |
| complete autopsy | 0.571558 |
| different ways | 0.547573 |
| SUID cases | 0.538322 |
| SIDS | 0.722993 |
| data | 0.427581 |
| United States | 0.697187 |
| Reproductive Health | 0.544661 |
| sudden unexpected infant | 0.927912 |
| soft bedding—for example | 0.673948 |
| death scene | 0.669256 |
| strangulation | 0.428508 |
| Unknown cause | 0.581276 |
| sudden death | 0.729196 |
| syndrome | 0.430569 |
| review | 0.429987 |
| CDC resources | 0.553607 |
| examination | 0.428392 |
| jurisdictions | 0.46533 |
| nose | 0.430321 |
| circumstances | 0.46444 |
|
| types | 0.432457 |
| clinical history | 0.563574 |
| infants | 0.476151 |
| overlay | 0.433456 |
| sleep-related infant deaths | 0.817366 |
| strategies | 0.427504 |
| infant deaths | 0.84344 |
| future deaths | 0.582817 |
| people | 0.427119 |
| SUIDs | 0.461642 |
| SUID trends | 0.541441 |
| thorough investigation | 0.700179 |
| mouth | 0.429668 |
| tests | 0.427698 |
| matters | 0.427138 |
| Accidental suffocation | 0.642777 |
| activities | 0.427213 |
| pillow | 0.43146 |
| parts | 0.42879 |
| age | 0.465276 |
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CDC study: Former NFL players not at increased risk of suicide | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| suicide risk | 0.373273 |
| CDC’s National | 0.306158 |
| current discussion | 0.286069 |
| Disease Control | 0.303276 |
| NFL speed-position players | 0.416279 |
| suicide rate | 0.38098 |
| suicide deaths | 0.467323 |
| scientific literature | 0.294009 |
| NIOSH research | 0.32933 |
| greater risk | 0.309312 |
| new study | 0.305094 |
| NIOSH | 0.379827 |
| general U.S. population | 0.91666 |
| American Journal | 0.300709 |
| age-matched people | 0.297007 |
| NFL group | 0.331602 |
| Fifty-eight percent | 0.304944 |
| offensive linemen positions | 0.377982 |
| non-speed-position players | 0.307524 |
| professional football players | 0.52614 |
| Field Studies | 0.29142 |
| previous information | 0.290916 |
| NIOSH researchers | 0.347309 |
| neurodegenerative disease | 0.283164 |
| NFL Players Association | 0.40304 |
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| general population | 0.467717 |
| head injury | 0.290416 |
| suicide death rate | 0.571776 |
| Occupational Safety | 0.2986 |
| Sports Medicine | 0.303366 |
| particular cohort | 0.295213 |
| heart disease | 0.285895 |
| different positions | 0.296986 |
| Hazard Evaluations | 0.290172 |
| white players | 0.307521 |
| higher risk | 0.425173 |
| different risks | 0.286271 |
| Douglas Trout | 0.287436 |
| National Football League | 0.3935 |
| nfl players | 0.59444 |
| black players | 0.309753 |
| non-speed positions | 0.298882 |
| latest study | 0.286553 |
| intentional self-harm | 0.292039 |
| wide receiver | 0.290584 |
| speed positions | 0.299176 |
| football players | 0.613664 |
| Deputy Director | 0.294234 |
| comparable gender/race/age sector | 0.371865 |
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CDC's Public Health Responses|PHPR |
Office of Public Health Preparedness and Response |
| Office | 0.442307 |
| Salmonella | 0.431886 |
| CDC | 0.673594 |
| Marburg virus | 0.543108 |
| United States | 0.542822 |
| Secretary | 0.427382 |
| Human Services | 0.538448 |
| command center | 0.54137 |
| exercise | 0.421107 |
| Hanna | 0.430728 |
| U.S. Department | 0.538833 |
| disaster | 0.424446 |
| Hurricanes Katrina | 0.552915 |
| public health threats | 0.884557 |
| central point | 0.540294 |
| weaknesses | 0.42868 |
| contact | 0.422966 |
| EOC | 0.51163 |
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| public health | 0.9058 |
| E. Coli Outbreaks | 0.662105 |
| emergency response | 0.546264 |
| Ike | 0.430213 |
| Rita | 0.425513 |
| local partners | 0.554512 |
| lives | 0.425281 |
| real world response | 0.640086 |
| improvement plans | 0.522013 |
| Tropical Storm Edouard | 0.654814 |
| Emergency Operations Center | 0.660618 |
| Hurricanes Gustav | 0.557324 |
| gaps | 0.427325 |
| response operations | 0.58424 |
| Public Health Preparedness | 0.85689 |
| action reports | 0.525047 |
| Hurricane Dolly | 0.542556 |
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