| 4971 |
Centers for Disease Control and Prevention |
Html |
en |
A comparison of depression and mental distress indicators, Rhode Island Behavioral Risk Factor Surveillance System, 2006 |
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| Island BRFSS data | 0.388599 |
| Risk Factor Surveillance | 0.543902 |
| mental distress | 0.747927 |
| clinical depression disorders | 0.412577 |
| HRQOL module | 0.403857 |
| mental health | 0.424771 |
| Alpert Medical School | 0.37786 |
| logistic regression | 0.396554 |
| Mental Health Data | 0.375717 |
| major depression | 0.408688 |
| Rhode Island adults | 0.414316 |
| higher depression rates | 0.400735 |
| Rhode Island Department | 0.462664 |
| severe depression | 0.387182 |
| mild depression | 0.387537 |
| population prevalence estimates | 0.389785 |
| Factor Surveillance System. | 0.38059 |
| mental health items | 0.375608 |
| PHQ-2 | 0.429454 |
| Behavioral Risk Factor | 0.542364 |
| depression prevalence | 0.528672 |
| Rhode Island cities | 0.406321 |
| health risk variables | 0.41671 |
| PHQ-8 current depression | 0.434619 |
| depression severity | 0.453782 |
|
| depression severity status | 0.406988 |
| patient health questionnaire | 0.452369 |
| PHQ-8 | 0.504674 |
| risk variables | 0.4784 |
| prevalence estimates | 0.476066 |
| Rhode Island BRFSS | 0.494286 |
| 10-question depression | 0.392903 |
| current depression | 0.538554 |
| Island Behavioral Risk | 0.446158 |
| logistic regression modeling | 0.391343 |
| mental distress estimates | 0.390717 |
| Rhode Island | 0.94576 |
| multivariable logistic regression | 0.394724 |
| HRQOL indicators | 0.42631 |
| mental distress indicators | 0.432732 |
| frequent mental distress | 0.744322 |
| Rhode Island Behavioral | 0.45322 |
| BRFSS HRQOL indicators | 0.385034 |
| depression indicators | 0.402245 |
| Jana Earl Hesser | 0.397057 |
| Warren Alpert Medical | 0.376019 |
| depression prevalence estimates | 0.451383 |
| mental distress questions | 0.388574 |
| depression | 0.706532 |
|
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| 5574 |
Centers for Disease Control and Prevention |
Html |
en |
Nitrogen trifluoride - NIOSH Pocket Guide to Chemical Hazards |
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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CLICK HERE |
| 7957 |
Centers for Disease Control and Prevention |
Html |
en |
ADHD - Timeline |
ADHD is one of the most common neurobehavioral disorders of childhood. It is usually first diagnosed in childhood and often lasts into adulthood. Children with ADHD have trouble paying attention, controlling impulsive behaviors (may act without thinking about what the result will be), and in some cases, are overly active. |
| historical view | 0.540471 |
| necessary context | 0.558474 |
| demographic characteristics | 0.533517 |
| FDA-approved ADHD medications | 0.910368 |
| differences | 0.345708 |
| print larger version | 0.685795 |
| changes | 0.347252 |
| numbers | 0.343097 |
| long-acting formulations | 0.549502 |
| percent | 0.437963 |
| variation | 0.348304 |
| number | 0.401049 |
| epidemiology | 0.355404 |
| shows | 0.346684 |
|
| national survey | 0.507402 |
| children | 0.472579 |
| variations | 0.347298 |
| addition | 0.343813 |
| diagnostic criteria | 0.533032 |
| parent-reported ADHD diagnoses | 0.890562 |
| clear upward trend | 0.713104 |
| change | 0.369645 |
| samples | 0.385555 |
| factors | 0.387336 |
| population | 0.344578 |
| national estimates | 0.539715 |
| difference | 0.348765 |
| timeline | 0.346728 |
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| 9454 |
Centers for Disease Control and Prevention |
Html |
es |
La residencia en un condado deprimido de los Apalaches se considera factor de riesgo de diabetes, Sistema de Vigilancia de Factores de Riesgo del Comportamiento, 2006-2007 |
null |
| ingreso per cápita | 0.982247 |
| Barker L | 0.838547 |
| Gerzoff RB | 0.859786 |
| variable dependiente | 0.840206 |
| Crespo R | 0.835677 |
|
| Shrewsberry M | 0.832185 |
| Denham S | 0.82969 |
| Chronic Dis | 0.87289 |
| La residencia | 0.786586 |
|
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| 9603 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Weight Status and Weight-Management Behaviors Among Philadelphia High School Students, 2007"2011 - CDC |
The prevalence of obesity among youth may be stabilizing and even declining in some areas of the United States. The objective of our study was to examine whether the stabilization in obesity prevalence among Philadelphia high school students was accompanied by changes in weight-management behaviors. |
| healthful weight-loss behaviors | 0.424165 |
| obesity rates | 0.461764 |
| data | 0.388505 |
| normal-weight male students | 0.388237 |
| vegetable consumption | 0.407283 |
| childhood obesity epidemic | 0.387788 |
| obese students | 0.44169 |
| weight- management behaviors | 0.402848 |
| significant differences | 0.439375 |
| self-reported weight status | 0.388787 |
| Risk Behavior Survey | 0.407427 |
| obese male students | 0.398599 |
| healthful weight management | 0.430671 |
| youth obesity epidemic | 0.384108 |
| poor weight-management behaviors | 0.390081 |
| youth obesity rates | 0.387945 |
| Youth Risk Behavior | 0.455838 |
| obesity prevalence | 0.41374 |
| health care professionals | 0.38414 |
| healthful weight-related behaviors | 0.39418 |
| extreme weight-management | 0.473217 |
| male students | 0.575613 |
| healthful weight-management behaviors | 0.453036 |
| study period | 0.443437 |
| overweight students | 0.389155 |
|
| obese female students | 0.401418 |
| regular physical activity | 0.390657 |
| in-weight management behaviors | 0.383026 |
| weight-management behaviors | 0.779059 |
| female students | 0.641976 |
| multivariable regression models | 0.402756 |
| United States | 0.416395 |
| significant changes | 0.382422 |
| television viewing | 0.381225 |
| diet pills | 0.415279 |
| extreme weight-management strategies | 0.446755 |
| overweight | 0.436195 |
| public health | 0.516529 |
| normal-weight female students | 0.391045 |
| community-based obesity prevention | 0.376659 |
| high school students | 0.921009 |
| physical activity | 0.686083 |
| Philadelphia high school | 0.45523 |
| extreme weight-management behaviors | 0.469876 |
| public health efforts | 0.398328 |
| childhood obesity | 0.487032 |
| screen time | 0.473055 |
| youth health behaviors | 0.400701 |
| weight perception | 0.40276 |
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| 10642 |
Centers for Disease Control and Prevention |
Html |
en |
Bioterrorism Agents' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
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CLICK HERE |
| 12033 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Impact of the Arthritis Foundation™s Walk With Ease Program on Arthritis Symptoms in African Americans - CDC |
Inadequate program design and lack of access to evidence-based programs are major barriers to the management of chronic diseases such as arthritis, particularly for African Americans. This study evaluates the effectiveness of the Arthritis Foundation’s Walk With Ease Program (WWE) in a subsample of African Americans who were part of a larger study that established evidence of the program’s efficacy. |
| North Carolina | 0.644249 |
| Arthritis Research Center | 0.640937 |
| arthritis clinical practice | 0.566571 |
| group WWE program | 0.631455 |
| instructor-led group WWE | 0.543491 |
| arthritis-related symptoms | 0.623909 |
| Arthritis Foundation Aquatics | 0.6121 |
| group format participants | 0.594775 |
| self-directed vs group | 0.553159 |
| African Americans | 0.987337 |
| Evidence-based arthritis interventions | 0.622271 |
| arthritis symptoms | 0.718344 |
| fatigue | 0.550383 |
| health disparities | 0.558482 |
| self-directed program | 0.547549 |
| African Americans experience | 0.55613 |
| Arthritis Care Res | 0.562289 |
| African American participants | 0.70832 |
| 6-week WWE program | 0.586257 |
| arthritis interventions | 0.646122 |
| parent study | 0.744522 |
| WWE program | 0.72781 |
| arthritis self-management interventions | 0.581411 |
| public health | 0.661037 |
|
| Arthritis Foundation | 0.721325 |
| group format | 0.633642 |
| pain | 0.60564 |
| worse arthritis outcomes | 0.577247 |
| parent study population | 0.545819 |
| stiffness | 0.598961 |
| Thurston Arthritis Research | 0.582995 |
| arthritis respond | 0.544072 |
| Chapel Hill | 0.590532 |
| arthritis symptom outcome | 0.581056 |
| chronic conditions | 0.57204 |
| delivery format | 0.613488 |
| physical activity | 0.58946 |
| health status | 0.552332 |
| arthritis behavioral interventions | 0.621198 |
| common arthritis symptoms | 0.614002 |
| arthritis | 0.8687 |
| self-directed format | 0.646762 |
| self-reported arthritis | 0.595632 |
| Arthritis Foundation Leader | 0.599915 |
| behavioral arthritis intervention | 0.575011 |
| arthritis intervention studies | 0.601374 |
| Culturally appealing arthritis | 0.603451 |
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| 13951 |
Centers for Disease Control and Prevention |
Html |
en |
Facts About Congenital Heart Defects |
null |
| particular defect | 0.520489 |
| common type | 0.488597 |
| long tube | 0.474019 |
| specific heart defect | 0.594561 |
| United States | 0.47344 |
| ultrasound pictures | 0.474642 |
| heart defects.2,3 | 0.505662 |
| CHDs | 0.903221 |
| heart doctor | 0.499743 |
| babies | 0.48376 |
| critical CHD need | 0.669502 |
| Pediatr Cardiol. | 0.473916 |
| genetic problems | 0.471326 |
| following symptoms | 0.476232 |
| routine checkups | 0.473422 |
| critical congenital heart | 0.685806 |
| congenital heart disease | 0.592642 |
| birth defect | 0.53111 |
| health conditions | 0.536526 |
| Patel SS | 0.471168 |
| blood flow | 0.476479 |
| independent lives | 0.471895 |
| specific heart condition | 0.554954 |
| defect present | 0.515657 |
|
| heart defects | 0.712216 |
| initial childhood surgeries | 0.523597 |
| blood vessels | 0.529617 |
| special type | 0.479544 |
| small hole | 0.482464 |
| heart defect | 0.750631 |
| medical care | 0.56108 |
| Nongenetic risk factors | 0.525633 |
| people | 0.475577 |
| heart | 0.820016 |
| different types | 0.480399 |
| CHD lead | 0.579416 |
| health problems | 0.518789 |
| fetal echocardiogram | 0.489122 |
| cardiac catheterization | 0.480091 |
| healthcare provider | 0.478844 |
| baby.2,3Â Smoking | 0.471964 |
| pre-existing diabetes | 0.474611 |
| individual genes | 0.473692 |
| CHD | 0.761581 |
| healthier lives | 0.561341 |
| congenital heart defects | 0.662096 |
| Correa A. Temporal | 0.534754 |
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Centers for Disease Control and Prevention |
Html |
en |
Avoid Dengue by Preventing Mosquito Bites | Features | CDC |
Dengue is a virus spread by mosquito bites. If you live in or travel to a tropical or sub-tropical area, protect yourself by preventing mosquito bites. |
| dengue virus bite | 0.756294 |
| United States | 0.444207 |
| fever | 0.431478 |
| high levels | 0.430359 |
| Eastern Mediterranean | 0.457425 |
| EPA-registered insect repellent | 0.699629 |
| emergency room | 0.446112 |
| family member | 0.448591 |
| Mild symptoms | 0.459512 |
| Cover crib | 0.431505 |
| similar viruses | 0.443773 |
| *See EPA | 0.471294 |
| product label instructions | 0.554433 |
| Southeast Asia | 0.463447 |
| Eye pain | 0.449369 |
| Repair holes | 0.432018 |
| Dress your child | 0.42773 |
| flu-like illness | 0.45842 |
| warning signs | 0.557486 |
| bone pain | 0.443581 |
| baby carrier | 0.427964 |
| severe dengue | 0.637755 |
| permethrin products | 0.470982 |
| active ingredients | 0.435981 |
|
| sub-tropical area | 0.475403 |
| product instructions | 0.432797 |
| -registered insect repellents | 0.663426 |
| breastfeeding women | 0.440929 |
| EPA website | 0.467253 |
| trash containers | 0.426936 |
| dengue virus | 0.935499 |
| non-EPA registered insect | 0.605463 |
| small red spots | 0.570697 |
| bites | 0.471464 |
| people | 0.436768 |
| common symptoms | 0.463542 |
| drink fluids | 0.439177 |
| air-conditioned room | 0.448572 |
| mosquito | 0.426452 |
| natural repellents | 0.478726 |
| insect repellent | 0.701258 |
| bed net | 0.575195 |
| Spray insect | 0.492202 |
| local clinic | 0.448331 |
| lemon eucalyptus | 0.433555 |
| healthcare provider | 0.566534 |
| gum bleed | 0.451156 |
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| 14148 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: American Heart Month - February 2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| healthy diet | 0.47814 |
| high rates | 0.464268 |
| health care provider | 0.606971 |
| HTML versions | 0.446674 |
| Human Services | 0.600878 |
| U.S. Department | 0.592454 |
| local organizations | 0.459556 |
| Hearts initiative | 0.450666 |
| electronic PDF version | 0.58211 |
| Certain groups | 0.462945 |
| health care providers | 0.606045 |
| clinical protocols | 0.456396 |
| disparities | 0.385615 |
| blood pressure | 0.614926 |
| risk factors | 0.460207 |
| Additional information | 0.457523 |
| targeted consumer | 0.459056 |
| MMWR articles | 0.454159 |
| health care dollars | 0.631427 |
| commercial sources | 0.455887 |
| white women | 0.463189 |
| Black men experience | 0.602769 |
| heart disease death | 0.639253 |
| educational efforts | 0.455151 |
|
| United States | 0.650078 |
| original MMWR paper | 0.588008 |
| death rate | 0.631521 |
| MMWR readers | 0.458768 |
| character translation | 0.455805 |
| avoidable CVD deaths | 0.77279 |
| heart disease | 0.977774 |
| American Heart | 0.780019 |
| health care | 0.713035 |
| lowest rate | 0.472107 |
| medical expenses | 0.470395 |
| format errors | 0.455708 |
| HTML version | 0.452601 |
| cardiovascular disease | 0.487062 |
| black men | 0.737604 |
| disease (http://millionhearts.hhs.gov/learn-prevent/healthy-is-strong.html). | 0.624746 |
| U.S. adults | 0.600563 |
| final proofs | 0.450781 |
| trade names | 0.455997 |
| official text | 0.453876 |
| U.S. population | 0.471989 |
| higher levels | 0.461178 |
| non-CDC sites | 0.452802 |
| high blood pressure | 0.613813 |
|
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