| 6688 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease: January 2008: 07_0135 |
null |
| Health Services Administration | 0.373272 |
| public health interventions | 0.37086 |
| older persons | 0.392974 |
| U.S. Department | 0.384742 |
| New York City | 0.434236 |
| World Trade Center | 0.409178 |
| Disease Control | 0.408541 |
| vulnerable populations | 0.384567 |
| Older Americans Act | 0.411092 |
| Morb Mortal Wkly | 0.396479 |
| Disaster mental health | 0.37926 |
| emergency response | 0.371322 |
| chronic health | 0.459671 |
| mental health services | 0.44457 |
| services professionals | 0.374557 |
| chronic medical conditions | 0.374388 |
| disasters | 0.373154 |
| emergency pharmaceutical services | 0.370394 |
| chronic health problems | 0.39964 |
| emergency preparedness | 0.405429 |
| chronic disease | 0.406684 |
| Public Health Workbook | 0.369013 |
| older people | 0.394807 |
| public health agencies | 0.403618 |
| emergency responders | 0.367536 |
|
| older person | 0.392541 |
| public health role | 0.376427 |
| chronic health condition | 0.39181 |
| chronic health conditions | 0.445475 |
| disaster | 0.433668 |
| MMWR Morb Mortal | 0.396482 |
| community-wide emergency preparedness | 0.370253 |
| frail older adults | 0.646854 |
| heart disease | 0.417674 |
| Mortal Wkly Rep | 0.393262 |
| health care | 0.373776 |
| Public health professionals | 0.3768 |
| public health | 0.628851 |
| ill older adult | 0.411209 |
| New York | 0.44165 |
| special needs | 0.380038 |
| chronic diseases | 0.403336 |
| chronic health needs | 0.396665 |
| chronic conditions | 0.471212 |
| local public health | 0.373347 |
| public health personnel | 0.374187 |
| disaster preparedness | 0.370932 |
| Public Health Service | 0.370381 |
| older adults | 0.961494 |
|
CLICK HERE |
| 7255 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0240 |
Head Start is a federally funded early childhood education program that serves just over 900,000 US children, many of whom are at risk for obesity, are living in food insecure households, or both. The objective of this study was to describe Head Start practices related to assessing body mass index (BMI), addressing food insecurity, and determining portion sizes at meals. |
| program performance standards | 0.444355 |
| food assistance programs | 0.368143 |
| Head Start teachers | 0.380979 |
| Human Services | 0.371031 |
| Supplemental Nutrition Program | 0.373239 |
| Introduction
Head Start | 0.376272 |
| obesity prevention practices | 0.374693 |
| Head Start center | 0.368459 |
| Head Start classroom | 0.363673 |
| L. Head Start | 0.36278 |
| children | 0.648623 |
| Children’s food | 0.368674 |
| young children | 0.393068 |
| children’s portion | 0.389879 |
| obesity prevention | 0.391387 |
| food insecurity | 0.75931 |
| Start program information | 0.361972 |
| portion sizes | 0.516519 |
| Special Supplemental Nutrition | 0.364138 |
| food insecure households | 0.431919 |
| food insecure children | 0.402562 |
| program directors | 0.518856 |
| Food Stamp Program | 0.366246 |
| household food insecurity | 0.413459 |
|
| term food insecurity | 0.383401 |
| Start program director | 0.369671 |
| Start program directors | 0.375989 |
| household food security | 0.392909 |
| eligible Head Start | 0.375118 |
| Head Start children | 0.41052 |
| weight measurements | 0.382601 |
| average Head Start | 0.369485 |
| Head Start practices | 0.381817 |
| Nutrition Assistance Program | 0.361931 |
| early childhood education | 0.369995 |
| Care Food Program | 0.383831 |
| BMI | 0.370703 |
| Head Start Legislation | 0.361342 |
| program information report | 0.360408 |
| Head Start | 0.920173 |
| staff | 0.406329 |
| head start program | 0.505213 |
| families | 0.373215 |
| preschool-aged children | 0.402387 |
| start program performance | 0.407004 |
| Head Start programs | 0.580137 |
| Adult Care Food | 0.370737 |
| Head Start enrollment | 0.365101 |
|
CLICK HERE |
| 10115 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 10385 |
Centers for Disease Control and Prevention |
Html |
en |
Paul Coverdell National Acute Stroke Registry Logic Model'Programs'DHDSP'CDC |
Paul Coverdell National Acute Stroke Program Logic Model; Coverdell Logic Model; heart disease and stroke prevention programs |
| health promotion domains | 0.714973 |
| Logic Model | 0.592547 |
| Coverdell National Acute | 0.905416 |
| outcomes | 0.397275 |
| activities | 0.326602 |
|
| CDC chronic disease | 0.780212 |
| Stroke Program Logic | 0.730686 |
| Paul | 0.327397 |
| prevention | 0.325518 |
|
CLICK HERE |
| 11068 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Physician Weight Recommendations for Overweight and Obese Firefighters, United States, 2011"2012 - CDC |
National guidelines state that health care professionals (HCPs) should advise patients on the importance of maintaining a healthy weight. Firefighters have high rates of obesity, and cardiovascular events are the leading cause of line-of-duty deaths in firefighters. This study assessed the association of age and body mass index (BMI) with HCP weight recommendations among male firefighters. |
| youngest firefighters | 0.229545 |
| obese firefighters | 0.53831 |
| BMI categories | 0.30231 |
| normal-weight firefighters | 0.215796 |
| HCP weight | 0.490005 |
| HCP weight advice | 0.361807 |
| fewer overweight firefighters | 0.328147 |
| weight gain | 0.222834 |
| HCP weight recommendations | 0.339944 |
| male firefighters | 0.335788 |
| Female firefighters | 0.221566 |
| weight advice | 0.435799 |
| self-reported HCP weight | 0.287751 |
| Firefighters Grants program | 0.225505 |
| younger firefighters | 0.26545 |
| weight status | 0.2545 |
| Fight firefighters | 0.217094 |
| HCP weight counseling | 0.383171 |
| counsel firefighters | 0.245254 |
| career firefighters | 0.334976 |
|
| BMI-defined overweight firefighters | 0.330309 |
| obesity | 0.256398 |
| ethnic minority firefighters | 0.228696 |
| BMI | 0.473216 |
| health care professionals | 0.236937 |
| firefighters marks | 0.208449 |
| cardiovascular disease | 0.227183 |
| Haddock CK | 0.262586 |
| normal weight | 0.206478 |
| older firefighters | 0.240055 |
| health | 0.269577 |
| HCP weight loss | 0.424186 |
| firefighters | 0.884037 |
| weight loss advice | 0.96182 |
| HCP advice delivery | 0.217202 |
| overweight firefighters | 0.451921 |
| high blood pressure | 0.245047 |
| HCP advice | 0.365653 |
| male career firefighters | 0.261475 |
|
CLICK HERE |
| 11314 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 11349 |
Centers for Disease Control and Prevention |
Html |
en |
Signs and Symptoms | Ebola Hemorrhagic Fever |
null |
| 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 |
|
CLICK HERE |
| 13206 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| 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 |
|
CLICK HERE |
| 13286 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 13716 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |