| 749 |
Centers for Disease Control and Prevention |
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Trends in the Prevalence of Excess Dietary Sodium Intake -United States, 2003-2010 |
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. |
| average population sodium | 0.45004 |
| usual sodium intake | 0.833827 |
| in-person dietary recall | 0.342744 |
| higher calorie intake | 0.432891 |
| sodium density | 0.637872 |
| total sample size | 0.351391 |
| U.S. civilian population | 0.339957 |
| usual excess sodium | 0.47743 |
| U.S. children | 0.367752 |
| tolerable upper intake | 0.44906 |
| dietary recall underestimates | 0.339276 |
| usual mean sodium | 0.462299 |
| excess sodium intake | 0.789053 |
| sodium content | 0.478458 |
| mean energy reduction | 0.341353 |
| upper intake levels | 0.426154 |
| Iowa State University | 0.358673 |
| dietary recall data | 0.345276 |
| average sodium consumption | 0.44825 |
| average energy intake | 0.412305 |
| sodium density target | 0.450399 |
| sodium consumption | 0.472222 |
| sodium intake | 0.986588 |
| upper intake level | 0.466593 |
|
| mean U.S. sodium | 0.45582 |
| statistically significant declines | 0.341296 |
| mean sodium intake | 0.568962 |
| excess usual sodium | 0.544259 |
| excess intake | 0.417014 |
| human milk | 0.380895 |
| population sodium intake | 0.585983 |
| slight declines | 0.36262 |
| sodium intakes | 0.448158 |
| linear regression model | 0.350875 |
| usual sodium density | 0.487627 |
| U.S. sodium intake | 0.599514 |
| excess sodium consumption | 0.455282 |
| slight decrease | 0.350419 |
| energy intake | 0.448517 |
| higher sodium intake | 0.56109 |
| cycle.§ Sodium intake | 0.541885 |
| U.S. population | 0.348452 |
| 24-hour dietary recall | 0.393321 |
| mg sodium | 0.442729 |
| mean usual sodium | 0.504049 |
| caloric intake | 0.393548 |
| sodium intake density | 0.589653 |
| average sodium intake | 0.5137 |
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Centers for Disease Control and Prevention |
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Preconception Care, Show Your Love Campaign - Image, Nutrition |
null |
| full-size image,right click | 0.975192 |
| Save target | 0.792221 |
|
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| 9326 |
Centers for Disease Control and Prevention |
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Consumo de tabaco en veteranos de las guerras en Iraq y Afganistán: Estudio cualitativo de las barreras, facilitadores y preferencias de tratamiento |
CDC - Wide Page example description goes here |
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| múltiples beneficios | 0.995547 |
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| 10263 |
Centers for Disease Control and Prevention |
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Handwashing After a Disaster'PSAs for Disasters |
The Centers for Disease Control and Prevention (CDC) provides Public Service Announcements (PSAs) to help share life-saving information during natural disasters and severe weather. English and Spanish PSAs are in a variety of formats including text, audio, and video. |
| Water | 0.523589 |
| Carbon Monoxide Poisoning | 0.593614 |
| Kreyòk Ayisyen | 0.528926 |
| DME Batteries | 0.539967 |
| Generator Safety | 0.526936 |
| Cold Weather | 0.576627 |
| Apre yon Katastwòf | 0.519098 |
| Sanitize Food Cans | 0.511536 |
| Loved Ones | 0.536427 |
| Mold Cleaning | 0.518854 |
| Haitian Creole | 0.56641 |
| yon Katastwòf Natirèl | 0.519261 |
| disasters | 0.511449 |
| Kid | 0.536966 |
| Pet Kit | 0.551677 |
| Cans Swollen | 0.536185 |
| Pet Microchip | 0.528772 |
| Kids | 0.51815 |
| Heat | 0.518704 |
| Chain Saw Injuries | 0.522181 |
| Canned Drinks | 0.521924 |
| Cell Phone | 0.524477 |
| Renal Diet | 0.536439 |
| Preparedness Tip | 0.963606 |
|
| Hypothermia | 0.516852 |
| Evacuation Centers | 0.513584 |
| Supply Recheck | 0.536853 |
| Carbon Monoxide | 0.600726 |
| Spanish [Español] | 0.522848 |
| Food – Perishables | 0.52187 |
| Food – Canned | 0.520647 |
| Food – Cans | 0.532221 |
| Early Treatment | 0.533557 |
| Extreme Heat | 0.513166 |
| Safety | 0.527094 |
| Stay | 0.513724 |
| Food | 0.537248 |
| Flood Water | 0.521592 |
| Disaster Preparedness | 0.583267 |
| Older Adults | 0.512552 |
| Emergency Wound Care | 0.514803 |
| Dialysis Kit | 0.533621 |
| Public Service Announcements | 0.516163 |
| Educational Materials | 0.511783 |
| Power Outage Spanish | 0.512924 |
| Worker Safety | 0.512329 |
| severe weather | 0.511548 |
| Power Line | 0.524657 |
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| 10906 |
Centers for Disease Control and Prevention |
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Skin Cancer Risk Factors |
People with certain risk factors are more likely than others to develop skin cancer. |
| tan | 0.401822 |
| skin cancer | 0.575998 |
| skin types | 0.300774 |
| risk factors | 0.89572 |
| UV rays | 0.717972 |
| good health | 0.372312 |
| skin type | 0.322495 |
| melanin | 0.309514 |
| skin | 0.938704 |
|
| pigment | 0.253536 |
| people | 0.28164 |
| general risk factors | 0.627347 |
| different types | 0.378571 |
| skin cells | 0.329078 |
| certain risk factors | 0.643436 |
| highest risk | 0.331903 |
| UV exposure | 0.439654 |
| outer layers | 0.390025 |
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Centers for Disease Control and Prevention |
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Procedures for Personal Protective Equipment | EbolaHemorrhagic Fever | CDCInformation for Health Care Workers | EbolaHemorrhagic Fever | CDC |
null |
| PPE donning | 0.235618 |
| *EPA-registered disinfectant wipe | 0.698566 |
| inner gloves | 0.433091 |
| PPE | 0.91881 |
| doffing area | 0.278533 |
| PPE removal area | 0.464752 |
| trained observer | 0.273325 |
| patient care area | 0.296086 |
|
| patient care | 0.543649 |
| PPE removal process | 0.218483 |
| patient room | 0.237959 |
| doffing process | 0.227205 |
| outer gloves | 0.217286 |
| healthcare workers | 0.671021 |
| disinfect inner gloves | 0.359738 |
| PPE ensemble | 0.276263 |
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Centers for Disease Control and Prevention |
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Rapid Large-Scale Deployment of Tuberculosis Testing in a High School - Riverside County, California, 2013-2014 |
Cameron Kaiser, MD1; Barbara Cole, MSN1; Kimberly Saruwatari, MPH1; Ramon Leon, MPH1 (Author affiliations at end of text). |
| high school | 0.554153 |
| latent TB infection | 0.522602 |
| initial cohort | 0.470318 |
| TB clinic | 0.468058 |
| contact investigation | 0.495083 |
| health department administration | 0.482479 |
| health staff members | 0.482913 |
| on-campus clinic | 0.488586 |
| tuberculin skin testing | 0.473214 |
| skin test results | 0.477192 |
| public health department | 0.571384 |
| onsite TB testing | 0.540512 |
| positive TB test | 0.520536 |
| test results | 0.664391 |
| public health officer | 0.550096 |
| tuberculin skin | 0.693701 |
| tuberculin skin tests | 0.525083 |
| effective media relations | 0.528126 |
| four-drug TB treatment | 0.525055 |
| first-line TB medications | 0.511157 |
| high school staff | 0.484383 |
| persons | 0.470952 |
| school term | 0.46183 |
| positive tuberculin skin | 0.553063 |
| disease control branch | 0.522553 |
|
| positive test results | 0.524063 |
| public health information | 0.47376 |
| county public health | 0.582024 |
| potentially cavitary mass | 0.517841 |
| previously known TB | 0.508504 |
| California high school | 0.480106 |
| county health care | 0.472976 |
| directly observed therapy | 0.498653 |
| school nursing staff | 0.460343 |
| index patient | 0.523665 |
| testing operations | 0.490847 |
| Riverside Department | 0.472715 |
| public health | 0.917297 |
| active pulmonary TB | 0.530938 |
| TB treatment | 0.539335 |
| organized testing operations | 0.472927 |
| school staff members | 0.658256 |
| staff members | 0.860589 |
| health department | 0.841347 |
| active TB | 0.506447 |
| tuberculin skin test | 0.654704 |
| TB | 0.64934 |
| on-campus health clinic | 0.471226 |
| Riverside County | 0.497937 |
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Centers for Disease Control and Prevention |
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Food Insecurity and Body Mass Index: A Longitudinal MixedMethods Study, Chelsea, Massachusetts, 2009&ndash2013 |
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. |
| BMI increase | 0.405814 |
| food security status | 0.410861 |
| similar baseline BMI | 0.455762 |
| Food insecurity screening | 0.453157 |
| high BMI | 0.410344 |
| median household income | 0.40472 |
| food pantry information | 0.384024 |
| Harvard Medical School | 0.382865 |
| food insecurity | 0.977255 |
| greater increase | 0.391997 |
| food choice | 0.372345 |
| retrospective matched cohort | 0.397987 |
| body mass index | 0.421189 |
| weight | 0.410011 |
| study period | 0.389174 |
| health center patients | 0.375644 |
| greater BMI | 0.402466 |
| community health | 0.425117 |
| adult medicine practice | 0.376418 |
| food assistance programs | 0.381233 |
| food insecure participants | 0.697 |
| study | 0.429196 |
| food secure participants | 0.464071 |
| pragmatic food insecurity | 0.446893 |
|
| baseline bmi | 0.478861 |
| portion control | 0.45844 |
| vulnerable patients | 0.390267 |
| focus groups | 0.497332 |
| food insecure vs | 0.415096 |
| BMI analysis | 0.403224 |
| BMI | 0.675749 |
| food insecurity risk | 0.453535 |
| food resources | 0.390955 |
| weight management interventions | 0.384096 |
| BMI strata | 0.401051 |
| adult medicine | 0.395006 |
| focus group guide | 0.376568 |
| focus group participants | 0.439685 |
| baseline food insecurity | 0.464383 |
| food access | 0.417853 |
| food insecure patients | 0.76314 |
| food insecure participant | 0.420058 |
| focus group | 0.46502 |
| food practices | 0.408466 |
| suboptimal food resources | 0.375241 |
| time | 0.369039 |
| community health center | 0.422563 |
| BMI data | 0.410683 |
|
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How Medicaid and Other Public Policies Affect Use of TobaccoCessation Therapy, United States, 2010-2014 |
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. |
| cessation coverage policies | 0.360059 |
| smoking cessation rates | 0.37068 |
| tobacco cessation therapies | 0.34867 |
| Medicaid policies | 0.497882 |
| state medicaid | 0.425866 |
| Medicaid’s drug | 0.340623 |
| George Washington University | 0.331865 |
| cessation medications | 0.905478 |
| tobacco cessation | 0.678582 |
| Medicaid smoking cessation | 0.530172 |
| state | 0.455828 |
| Medicaid | 0.720048 |
| Medicaid expansions | 0.352972 |
| Medicaid utilization rates | 0.385065 |
| state Medicaid smoking | 0.418461 |
| Broader Medicaid coverage | 0.351102 |
| mean cessation utilization | 0.330272 |
| Medicaid populations | 0.339052 |
| adult Medicaid smokers | 0.371239 |
| state Medicaid limitations | 0.386211 |
| smoking norms | 0.331813 |
| tobacco cessation medications | 0.617212 |
| effects | 0.327868 |
| State Medicaid programs | 0.405713 |
| Medicaid benefit policies | 0.453286 |
|
| Medicaid patients | 0.3282 |
| comprehensive Medicaid coverage | 0.351917 |
| smoking cessation initiatives | 0.366193 |
| medicaid smokers | 0.520427 |
| tobacco cessation benefits | 0.378022 |
| Medicaid cessation coverage | 0.433238 |
| Medicaid tobacco cessation | 0.620523 |
| Medicaid beneficiaries | 0.409582 |
| cessation utilization | 0.338715 |
| states | 0.337747 |
| state Medicaid agency | 0.384187 |
| Medicaid copayments | 0.331531 |
| cessation therapies | 0.353907 |
| Medicaid expenditures | 0.349403 |
| FDA-approved cessation medications | 0.396729 |
| tobacco cessation medication | 0.328386 |
| public health programs | 0.396053 |
| low-income Medicaid beneficiaries | 0.350135 |
| cessation therapy | 0.328495 |
| smoking cessation medications | 0.439276 |
| nondisabled Medicaid adults | 0.357302 |
| Medicaid agencies | 0.347877 |
| Medicaid coverage | 0.385656 |
| state tobacco policies | 0.374608 |
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Increases in Drug and Opioid-Involved Overdose Deaths -United States, 2010-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| specific drug | 0.286821 |
| harm reduction approaches | 0.230853 |
| illicit opioids | 0.210009 |
| deaths.†Drug overdose | 0.206652 |
| opioid subcategories | 0.202969 |
| U.S. opioid epidemic | 0.278742 |
| age-adjusted death rates | 0.270365 |
| commonly prescribed opioids | 0.214303 |
| South Carolina | 0.20155 |
| states | 0.330766 |
| cause-of-death codes | 0.220032 |
| percentage points | 0.202319 |
| heroin death rates | 0.326373 |
| overdose death rates | 0.269049 |
| synthetic opioids | 0.595594 |
| Prescribing Opioids | 0.213799 |
| disorder treatment capacity | 0.232735 |
| law enforcement strategies | 0.230229 |
| natural/semi-synthetic opioid death | 0.214891 |
| overall drug overdose | 0.205337 |
| joinpoint regression.¶ Opioid | 0.201436 |
|
| prescription opioids | 0.223801 |
| natural/semisynthetic opioids | 0.268868 |
| heroin deaths | 0.23659 |
| law enforcement | 0.250358 |
| natural/semisynthetic opioid deaths | 0.269717 |
| specific drug differing | 0.233917 |
| overdose death rate | 0.203643 |
| drug overdose deaths | 0.957639 |
| opioid deaths | 0.290846 |
| drug overdose death | 0.459399 |
| methadone death rates | 0.315366 |
| methadone deaths | 0.230934 |
| opioid death rates | 0.389762 |
| National Vital Statistics | 0.273498 |
| natural/semisynthetic opioid death | 0.339992 |
| fewer deaths | 0.201421 |
| opioid use disorder | 0.210522 |
| overdose death certificates | 0.355323 |
| illicit opioid supply | 0.294476 |
| death rates | 0.847288 |
| opioid overdose death | 0.281969 |
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