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Centers for Disease Control and Prevention |
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September is National Childhood Obesity Month | CDC Features |
The numbers of young people affected by obesity remain at high levels. Learn what you can do to combat childhood obesity.
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| healthy diet | 0.494695 |
| ways communities | 0.441932 |
| free drinking water | 0.509121 |
| physical activity behaviors | 0.586507 |
| lower-calorie foods | 0.43338 |
| National Childhood Obesity | 0.783794 |
| high cholesterol | 0.440239 |
| children | 0.674796 |
| age appropriate activities | 0.517808 |
| Certain groups | 0.442334 |
| mental health problems | 0.556075 |
| healthier foods | 0.547359 |
| risk factors | 0.437569 |
| Eat healthy meals | 0.595659 |
| body mass index | 0.51031 |
| healthy eating | 0.491487 |
| joint problems | 0.433682 |
| regular physical activity | 0.560413 |
| healthy growth | 0.538133 |
| Learn ways | 0.458236 |
| physical activity opportunities | 0.555194 |
| healthy school environment | 0.592919 |
| sure drinking water | 0.518152 |
| United States | 0.443991 |
| normal weight peers | 0.736535 |
|
| chronic health conditions | 0.55707 |
| childhood healthy weight | 0.632238 |
| Health Care Providers | 0.52595 |
| heart disease | 0.557646 |
| limit juice intake | 0.514675 |
| drinking water | 0.528209 |
| Help children | 0.480813 |
| lifelong physical | 0.455974 |
| local health departments | 0.522998 |
| simple solution | 0.442014 |
| limited screen time | 0.517837 |
| Adult obesity | 0.613427 |
| higher risk | 0.550371 |
| high calorie foods | 0.553533 |
| good health | 0.459642 |
| affordable food options | 0.507802 |
| healthy weight | 0.707813 |
| Teen BMI Calculator | 0.51566 |
| easy access | 0.530132 |
| physical activity | 0.972094 |
| potential weight issues | 0.545389 |
| Measure children | 0.457921 |
| high blood pressure | 0.55202 |
| childhood obesity | 0.857849 |
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Centers for Disease Control and Prevention |
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ATSDR launches health survey of Marine Corps personnel and civilians - Press Release: June 22, 2011 |
No Progress in Salmonella During Past 15 Years |
| North Carolina | 0.28112 |
| chemical exposures | 0.29122 |
| health survey | 0.743909 |
| toxic substances. | 0.252697 |
| Base Camp Lejeune | 0.529715 |
| Disease Control | 0.263692 |
| federal government | 0.257391 |
| ATSDR Health Survey | 0.729558 |
| scientifically useful health | 0.632486 |
| Health care providers | 0.407002 |
| Toxic Substance | 0.250147 |
| family members | 0.401361 |
| National Center | 0.265433 |
| Environmental Health | 0.305362 |
| survey findings | 0.302512 |
| sister agency | 0.397032 |
| Camp Pendleton | 0.921463 |
| detailed instructions | 0.272158 |
| ATSDR action | 0.521501 |
| civilian employees | 0.256299 |
| ATSDR | 0.782508 |
| mail notification | 0.25102 |
| Marine Corps Personnel | 0.384579 |
| peer-reviewed scientific journal | 0.360939 |
| health history | 0.321133 |
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| High levels | 0.266138 |
| harmful exposures | 0.255983 |
| Eligible participants | 0.412795 |
| survey participant | 0.289475 |
| useful health information | 0.612957 |
| Web-based version | 0.258348 |
| U.S. DEPARTMENT | 0.36394 |
| Marine Corps | 0.597178 |
| potential exposure | 0.258225 |
| Christopher J. Portier | 0.453853 |
| contaminated water | 0.257986 |
| Camp Lejeune | 0.763752 |
| comprehensive health information | 0.437164 |
| comparison purposes | 0.264871 |
| congressional mandate | 0.263364 |
| accurate findings | 0.275657 |
| duty Marines | 0.254465 |
| mid-July. Portier | 0.303396 |
| civilian workers | 0.260471 |
| largest health survey | 0.476834 |
| Camp Lejeune. | 0.2868 |
| Disease Registry | 0.419601 |
| Toxic Substances | 0.285181 |
| public health agency | 0.416044 |
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Centers for Disease Control and Prevention |
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Abortion Surveillance --- United States, 2008 |
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. |
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Centers for Disease Control and Prevention |
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Diferencias de salud y conductas de salud entre los empleados estatales y otros empleados adultos en Oregón, 2007 |
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| Morris DS | 0.524213 |
| Ngo D | 0.529098 |
| Salud Pública | 0.488157 |
|
| seguro médico | 0.977645 |
| Schubert S | 0.531418 |
| Chronic Dis | 0.531348 |
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| 10115 |
Centers for Disease Control and Prevention |
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Bullying Surveillance Among Youths: Uniform Definitions for Public Health and Recommended Data Elements, Version 1.0 'Publications'Violence Prevention'Injury Center'CDC |
null |
| 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 |
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Centers for Disease Control and Prevention |
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Transmission | Ebola Hemorrhagic Fever |
null |
| hospital staff | 0.298211 |
| virus transmission | 0.328825 |
| large numbers | 0.31566 |
| wild animals | 0.305788 |
| Ebola virus | 0.853916 |
| instruments | 0.251611 |
| direct contact | 0.3145 |
| Ebola transmission | 0.601247 |
| contact | 0.373365 |
| affected people | 0.309459 |
| multiple spillover events | 0.421325 |
| mosquitoes | 0.22114 |
| natural reservoir host | 0.415333 |
| personal protective equipment | 0.378651 |
| primates | 0.242926 |
| bushmeat | 0.226523 |
| public health partners | 0.375357 |
| body fluids | 0.303866 |
| patient care | 0.297225 |
| past Ebola outbreaks | 0.753565 |
| monkeys | 0.246464 |
| highest risk | 0.300973 |
| scientists | 0.220299 |
| syringes | 0.221211 |
|
| Ebola patients | 0.668656 |
| Ebola | 0.964083 |
| Person-to-person transmission | 0.322386 |
| infected bats | 0.354324 |
| semen | 0.325181 |
| healthcare personnel | 0.298782 |
| Ebola viruses | 0.694522 |
| mucous membranes | 0.315934 |
| adequate sterilization | 0.301223 |
| close contact | 0.306021 |
| Proper cleaning | 0.297747 |
| man | 0.231025 |
| infected blood | 0.34753 |
| medical equipment | 0.297555 |
| sex | 0.234632 |
| fruit bat | 0.315366 |
| food | 0.238117 |
| way | 0.22047 |
| infected animal | 0.368116 |
| healthcare settings | 0.371387 |
| Healthcare providers | 0.302036 |
| time | 0.230414 |
| male Ebola survivors | 0.675366 |
| vaginal fluids | 0.299471 |
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Centers for Disease Control and Prevention |
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Signs and Symptoms | Ebola Hemorrhagic Fever |
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| average | 0.293902 |
| exposure | 0.292279 |
| immune response | 0.489463 |
| People | 0.240303 |
|
| Ebola infection develop | 0.925362 |
| antibodies | 0.29025 |
| supportive clinical care | 0.690135 |
| Recovery | 0.240921 |
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Centers for Disease Control and Prevention |
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Doctors and Infant Hearing | CDC Features |
Medical homes should obtain, document, and discuss all screening results. Physicians should provide education and support to families. |
| diagnostic services | 0.468697 |
| Sample release forms | 0.498044 |
| state EHDI coordinator/program | 0.53265 |
| AAP Guidelines | 0.469092 |
| screening hospital | 0.512753 |
| primary care physician | 0.505148 |
| Review Joint Committee | 0.496208 |
| primary care providers | 0.519497 |
| social service support | 0.505131 |
| diagnostic audiological testing | 0.512337 |
| best care | 0.467664 |
| AAP chapter | 0.465516 |
| treatment services | 0.47072 |
| Medical Home Following | 0.508828 |
| medical home | 0.570782 |
| Family Health Information | 0.595723 |
| Infant Hearing Position | 0.56273 |
| state coordinator | 0.465181 |
| literacy-appropriate information | 0.463624 |
| EHDI Guidelines | 0.468449 |
| therapeutic services | 0.462915 |
| parent support groups | 0.501274 |
| newborn hearing screening | 0.944373 |
| Early Hearing Detection | 0.707788 |
| overall EHDI process | 0.510887 |
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| hearing loss | 0.631014 |
| families section | 0.468623 |
| Early intervention Program | 0.517445 |
| Medical Home Providers | 0.506116 |
| Help arrange transportation | 0.500813 |
| National Research Hospital | 0.499748 |
| AAP EHDI pediatrician | 0.526038 |
| State EHDI programs | 0.54567 |
| helpful EHDI resources | 0.507335 |
| Health Information Centers | 0.596796 |
| medical evaluations | 0.46732 |
| comprehensive audiologic evaluation | 0.5227 |
| documentation means failure | 0.515919 |
| medical homes | 0.622675 |
| chapter champion | 0.50076 |
| newborn hearing screen | 0.605457 |
| families | 0.5192 |
| hearing screening results | 0.663593 |
| State EHDI Coordinators | 0.525504 |
| Hearing Assessment | 0.521788 |
| Pediatrics Early Hearing | 0.560757 |
| state ehdi program | 0.892614 |
| Pediatrics Task Force | 0.49413 |
| family support | 0.473618 |
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Centers for Disease Control and Prevention |
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Tetanus, Diphtheria, Pertussis Vaccination Coverage Before,During, and After Pregnancy - 16 States and New York City,2011 |
Indu B. Ahluwalia, PhD1; Helen Ding, MD2; Denise D'Angelo, MPH1; Kristen H. Shealy, MSPH2; James A. |
| health care provider | 0.355226 |
| Tdap recommendation | 0.39281 |
| Kenneth D. Rosenberg | 0.354325 |
| Weighted PRAMS data | 0.400363 |
| non-Hispanic black women | 0.37016 |
| seasonal influenza vaccination | 0.421522 |
| New York City | 0.406654 |
| pregnant women | 0.48961 |
| health care providers | 0.379854 |
| demographic groups | 0.353817 |
| health insurance coverage | 0.3696 |
| National Center | 0.359244 |
| pregnancy | 0.403264 |
| PRAMS participants | 0.363803 |
| Oregon PRAMS survey | 0.392427 |
| prenatal care | 0.442662 |
| PRAMS program | 0.369456 |
| postpartum vaccination | 0.433145 |
| vaccination promotion | 0.401909 |
| live-born infant | 0.475423 |
| women | 0.489732 |
| Indu B. Ahluwalia | 0.405421 |
| higher postpartum coverage | 0.372959 |
| overall coverage | 0.359539 |
| postpartum Tdap vaccination | 0.45975 |
|
| wide variation | 0.35377 |
| Kristen H. Shealy | 0.356552 |
| PRAMS response threshold | 0.391645 |
| Tdap vaccination postpartum | 0.536644 |
| greater Tdap coverage | 0.380916 |
| Pregnancy Risk Assessment | 0.366395 |
| state-specific Tdap vaccination | 0.471934 |
| overall Tdap vaccination | 0.457421 |
| ACIP | 0.359389 |
| immediate postpartum vaccination | 0.427526 |
| PRAMS data | 0.50008 |
| different data sets | 0.356424 |
| median percentage | 0.353253 |
| health care | 0.389807 |
| similar vaccination recommendations | 0.422356 |
| James A. Singleton | 0.356005 |
| current Tdap recommendations | 0.363286 |
| optimal time | 0.353518 |
| prenatal care providers | 0.364978 |
| Tdap vaccination status | 0.643544 |
| health care coverage | 0.368966 |
| Tdap vaccination coverage | 0.839805 |
| unknown Tdap vaccination | 0.440869 |
| non-Hispanic white women | 0.417589 |
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New School Meal Regulations and Consumption of Flavored Milk in Ten US Elementary Schools, 2010 and 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. |
| elementary school students | 0.50147 |
| milk consumption | 0.818962 |
| B. Chocolate milk | 0.568999 |
| southern schools | 0.510349 |
| school lunch programs | 0.486443 |
| public school districts | 0.491674 |
| school meal standards | 0.482082 |
| excess weight gain | 0.469848 |
| Vermont Agricultural Experiment | 0.462713 |
| standard flavored milk | 0.6434 |
| nutrient intake | 0.501395 |
| Diet Assoc | 0.500889 |
| Child Nutr Manag | 0.461698 |
| overall diet quality | 0.477311 |
| flavored milk | 0.973516 |
| children | 0.546748 |
| flavored milks | 0.482826 |
| flavored milk formulations | 0.640744 |
| plain milk | 0.59255 |
| noon beverage consumption | 0.487116 |
| shortfall nutrients | 0.475941 |
| bone mass accumulation | 0.469997 |
| southern United States | 0.468323 |
| Vermont Institutional Review | 0.466636 |
|
| milk containers | 0.558398 |
| school districts | 0.495283 |
| sugar-sweetened beverage consumption | 0.489405 |
| recent American Academy | 0.462465 |
| school milk | 0.602283 |
| Economic Research | 0.462665 |
| beverage consumption | 0.496112 |
| linear mixed models | 0.464552 |
| fluid milk | 0.537774 |
| Food Sciences Department | 0.522035 |
| school nutrition directors | 0.493281 |
| Johnson RK | 0.464153 |
| school meals | 0.513373 |
| milk processors | 0.560957 |
| diverse sample | 0.469223 |
| overall milk consumption | 0.644655 |
| fewer children | 0.481095 |
| schools | 0.535223 |
| quasi-experimental plate-waste study | 0.47088 |
| Milk consumption patterns | 0.615406 |
| school lunch | 0.506902 |
| coronary heart disease | 0.533154 |
| children’s diets | 0.480649 |
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