| 9249 |
Centers for Disease Control and Prevention |
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es |
Investigación de la disparidad entre la prevalencia de tensión psicológica no específica entre hispanos de Nueva York y de todo el país. |
CDC - Wide Page example description goes here |
| depression among | 0.400952 |
| mental health | 0.402408 |
| Salud Comunitaria | 0.403804 |
| results from | 0.400905 |
| National Health Interview | 0.402197 |
| psychological distress | 0.411061 |
| Arch Gen Psychiatry | 0.403542 |
| Programa Epi Scholars | 0.401437 |
| New York City | 0.405791 |
| indicadores ses | 0.402493 |
| Psychol Med | 0.401884 |
| Mokdad AH | 0.400887 |
| NPD frente | 0.402512 |
| menor prevalencia | 0.401191 |
| psychiatric disorders across | 0.401818 |
| respectivas contrapartes | 0.401011 |
| Mexican Americans | 0.400916 |
| nonspecific psychological distress | 0.40589 |
| Shrout PE | 0.401717 |
| mental illness | 0.401312 |
| serious psychological distress | 0.402075 |
| Health Interview Survey | 0.402265 |
| Estados Unidos | 0.571875 |
| Nueva York frente | 0.404562 |
| Health Statistics | 0.401351 |
|
| Nueva York | 0.992051 |
| Rican mental health | 0.401221 |
| Canino G | 0.40165 |
| United States | 0.404144 |
| Alegria M | 0.401752 |
| grupo étnico puertorriqueño | 0.400875 |
| Epidemiol Community Health | 0.400871 |
| alta prevalencia | 0.403759 |
| Soc Sci | 0.401798 |
| Kessler RC | 0.404033 |
| among puerto ricans | 0.401515 |
| puerto rican | 0.403584 |
| Cuban Americans | 0.400933 |
| Community Health | 0.40126 |
| Mental health status | 0.401118 |
| public health | 0.404866 |
| Community Health Survey | 0.401011 |
| McVeigh KH | 0.401051 |
| York City Department | 0.401438 |
| blancos hispanos | 0.408122 |
| Higiene Mental | 0.403146 |
| escala k6 | 0.417412 |
| psychological distress among | 0.40106 |
| psychiatric disorders | 0.404642 |
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| 9333 |
Centers for Disease Control and Prevention |
Html |
es |
Análisis de costo-beneficio de la estandarización para la medición de lípidos en los Estados Unidos |
null |
| largo plazo | 0.741992 |
| logrado gracias | 0.775807 |
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| Estados Unidos | 0.61472 |
| marcada reducción | 0.931058 |
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| 10040 |
Centers for Disease Control and Prevention |
Html |
en |
Binge Drinking E-cards |
Excessive alcohol use can lead to increased risk of health problems such as injuries, violence, liver diseases, and cancer.The CDC Alcohol Program works to strengthen the scientific foundation for preventing excessive alcohol use.
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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CLICK HERE |
| 10189 |
Centers for Disease Control and Prevention |
Html |
en |
Radiation Emergencies | Community Reception Center (CRC) Simulation Tools: CRC-STEP and RealOpt-CRC |
Information on Community Reception Center Simulation Tools CRC-STEP and RealOpt CRC. Provided by the Centers for Disease Control and Prevention (CDC). |
| CRCs | 0.340069 |
| mass casualty radiation | 0.908318 |
| process | 0.340887 |
| CDC | 0.369098 |
| simulation programs | 0.530542 |
| CRC-STEP | 0.326816 |
| professionals | 0.345208 |
| emergency | 0.345442 |
| community reception centers | 0.788094 |
|
| planners | 0.449154 |
| people | 0.344621 |
| crucial role | 0.626655 |
| CRC models | 0.576259 |
| radioactive material | 0.611605 |
| information | 0.338276 |
| links | 0.33784 |
| population monitoring | 0.557548 |
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| 10449 |
Centers for Disease Control and Prevention |
Html |
en |
Conference Call October 16, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| 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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| 10920 |
Centers for Disease Control and Prevention |
Html |
en |
Breast Cancer Diagnosis |
Doctors often use additional tests to find or diagnose breast cancer. |
| treatment | 0.31677 |
| breast problems | 0.640565 |
| biopsies | 0.328121 |
| surgeon | 0.320768 |
| cancer cells | 0.395411 |
| areas | 0.336515 |
| tissue | 0.31717 |
| visit Stages | 0.3932 |
| Review | 0.316824 |
| Research | 0.316806 |
| body scan | 0.402162 |
| type | 0.31684 |
| detailed X-ray | 0.402712 |
| microscope | 0.319382 |
| diagnostic mammogram | 0.531652 |
| Biopsy. | 0.31736 |
| MRI scan | 0.410324 |
| Breast Biopsy | 0.63142 |
| staging | 0.319237 |
| area | 0.318231 |
| process | 0.317281 |
| different kinds | 0.397424 |
|
| detailed pictures | 0.49171 |
| sonograms | 0.327315 |
| testing | 0.317217 |
| sound waves | 0.40792 |
| breast cancer | 0.809911 |
| Families | 0.316775 |
| Breast ultrasound | 0.6497 |
| open biopsy | 0.425462 |
| breast specialist | 0.66538 |
| additional tests | 0.413233 |
| lumps | 0.326828 |
| Magnetic resonance imaging | 0.488759 |
| lymph nodes | 0.40484 |
| doctors | 0.411985 |
| machine | 0.318666 |
| core biopsy | 0.425691 |
| screening mammogram | 0.449353 |
| fine-needle aspiration | 0.418161 |
| information | 0.333944 |
| breast | 0.910912 |
| experts | 0.318922 |
| women | 0.337563 |
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| 11081 |
Centers for Disease Control and Prevention |
Html |
en |
Using this Course | NCBDDD |
null |
| smartphone | 0.453733 |
| internet browser | 0.665533 |
| screen | 0.535484 |
| group discussion | 0.619106 |
| browser upgrades | 0.670865 |
| mouse | 0.49657 |
| tablet | 0.446588 |
| percentage | 0.451577 |
| options | 0.447565 |
| links | 0.443391 |
| scroll bar | 0.700598 |
| free online | 0.68375 |
| click buttons | 0.724514 |
| internet browsers | 0.67147 |
| black bar | 0.643825 |
| module | 0.979098 |
| continuing education | 0.619416 |
| click | 0.747134 |
| CDC eLearning site | 0.834174 |
| modules | 0.539472 |
| CE credit | 0.796763 |
| ActEarly | 0.449949 |
| newer versions | 0.690182 |
| Skip | 0.445307 |
| header | 0.448163 |
|
| Training content | 0.638799 |
| additional assistance | 0.682002 |
| document | 0.47612 |
| laptop computers | 0.653284 |
| highlight | 0.444982 |
| ways | 0.447821 |
| desktop | 0.444932 |
| Progress Bar | 0.620432 |
| end | 0.476556 |
| quiz | 0.477578 |
| finger | 0.444523 |
| middle | 0.443557 |
| wrong answers | 0.639855 |
| final evaluation | 0.631966 |
| training functions | 0.686584 |
| up-to-date version | 0.680581 |
| team meetings | 0.626794 |
| small wheel | 0.651394 |
| discussion points | 0.619428 |
| module number | 0.869799 |
| cdc.gov | 0.449929 |
| technical difficulties | 0.683281 |
| quizzes | 0.476534 |
| left navigation bar | 0.864762 |
|
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| 11545 |
Centers for Disease Control and Prevention |
Html |
en |
Publications, Data, & Statistics | Shigella-Shigellosis |
null |
| Shigella bacteremia | 0.388592 |
| Shigella serotypes | 0.385859 |
| resistant Shigella sonnei | 0.422879 |
| multidrug-resistant Shigella sonnei | 0.454872 |
| Shigella sonnei infection. | 0.410759 |
| Shigella sonnei resistant | 0.453896 |
| Huang JY | 0.38273 |
| antimicrobial resistance | 0.363194 |
| Emerg Infect Dis. | 0.51051 |
| Hedberg K. Shigellosis | 0.369176 |
| Shigella sonnei infection | 0.490169 |
| Morb Mortal Wkly | 0.936946 |
| risk factors | 0.361439 |
| Lancet Infect Dis. | 0.359098 |
| Cronquist AB | 0.393199 |
| u.s. sites | 0.359801 |
| multidrug-resistant Shigella infections | 0.416081 |
| Shigella sonnei. Pediatr | 0.401532 |
| azithromycin-resistant Shigella | 0.387221 |
| Foodborne Diseases Active | 0.400478 |
| Clin Infect Dis. | 0.532167 |
| Infect Dis. | 0.610789 |
| Shigella sonnei Int | 0.418605 |
| Shigella sonnei Associated | 0.421058 |
| D. Shigella outbreak | 0.420183 |
|
| United States | 0.432253 |
| ciprofloxacin-resistant shigella sonnei | 0.482173 |
| Shigella sonnei enterocolitis | 0.407122 |
| S. Ciprofloxacin-resistant Shigella | 0.403871 |
| Shigella sonnei gastroenteritis | 0.458039 |
| Shigella species | 0.38518 |
| MMWR Morb Mortal | 0.934861 |
| Shigella dysenteriae type | 0.428766 |
| Koibuchi T. Shigella | 0.396237 |
| K. Shigellosis outbreak | 0.393724 |
| Henao OL | 0.387391 |
| CDC. Shigella | 0.426705 |
| men | 0.366598 |
| resistant Shigella dysenteriae | 0.407239 |
| virulent Shigella flexneri. | 0.401828 |
| Mortal Wkly Rep. | 0.87804 |
| Cieslak PR | 0.361026 |
| Shigella sonnei | 0.681189 |
| Griffin PM | 0.40103 |
| Bekal S. Shigella | 0.402822 |
| Shigella sonnei outbreak | 0.522745 |
| Bowen A. Shigella | 0.407627 |
| Diseases Active Surveillance | 0.463517 |
| Shigella flexneri serotype | 0.422056 |
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| 12221 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Prevalence of and Risk Factorsfor Adolescent Obesity in Southern Appalachia, 2012 - CDC |
The objective of this study was to examine weight status among southern Appalachian adolescents and to identify risk factors for obesity. We analyzed baseline data from the Team Up for Healthy Living study in 2012. Overall, 19.8% of the sample was overweight, and 26.6% was obese. Boys had higher rates of overweight/obesity than girls (50.5% vs 42.3%). Being male (odds ratio [OR] = 1.79; 95% confidence interval [CI], 1.39–2.29), having a mother with a high school education or less (OR = 1.39; 95% CI, 1.05–1.83), or having a father with a high school education or less (OR = 1.57; 95% CI, 1.17–2.09) was associated with a higher prevalence of obesity and a higher body mass index z score (? = 0.131, 0.160, and 0.043, respectively, P < .05). Parental education could be used to identify adolescents with a higher likelihood of obesity. |
| obesity rates | 0.542073 |
| baseline data | 0.482394 |
| adolescent obesity | 0.533643 |
| Tennessee State University | 0.690858 |
| higher prevalence | 0.519991 |
| Southern Appalachian region | 0.481998 |
| high school education | 0.838755 |
| parental education | 0.625712 |
| BMI z scores | 0.47077 |
| obesity prevention | 0.563918 |
| rural areas | 0.49257 |
| obesity | 0.942489 |
| body mass index | 0.777955 |
| BMI z score | 0.573914 |
| healthy living | 0.557311 |
| higher body mass | 0.504328 |
| physical activity restrictions | 0.456037 |
| southern appalachian adolescents | 0.662332 |
| mother’s education | 0.518504 |
| maternal education | 0.471822 |
| outcome variable | 0.48799 |
| severe orthopedic problems | 0.450497 |
| father’s education | 0.519931 |
| family income level | 0.458858 |
|
| model logistic regression | 0.535768 |
| family household income | 0.57381 |
| higher likelihood | 0.63917 |
| 95th percentile | 0.60559 |
| study | 0.556517 |
| Public Health | 0.479281 |
| Youfa Wang | 0.44999 |
| Study exclusion criteria | 0.479639 |
| institutional review board | 0.452531 |
| annual family household | 0.578531 |
| East Tennessee State | 0.698044 |
| Prevention growth charts | 0.45559 |
| SAS Institute | 0.454979 |
| weight status | 0.539654 |
| overweight | 0.472983 |
| paternal education | 0.545974 |
| students provided assent | 0.460018 |
| family income | 0.508849 |
| logistic mixed models | 0.459951 |
| Healthy Living study | 0.497622 |
| SAS version | 0.455025 |
| obesity risk factors | 0.6523 |
| household education level | 0.49722 |
| Lifetime Wellness classes | 0.453277 |
|
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| 14370 |
Centers for Disease Control and Prevention |
Html |
en |
Hearing Impairment Among Noise-Exposed Workers - UnitedStates, 2003-2012 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| GBD Study | 0.857119 |
| Hearing Loss Surveillance | 0.669061 |
| severe hearing impairment | 0.580259 |
| occupational hearing loss | 0.952689 |
| hearing impairment | 0.799218 |
| Study audiometric definitions | 0.512893 |
| better ear | 0.652677 |
| dB average hearing | 0.612574 |
| sector | 0.603429 |
| hearing threshold values | 0.543989 |
| severe impairment | 0.519184 |
| mild impairment | 0.528011 |
| audiometric definitions | 0.559863 |
| substantial hearing impairment | 0.599569 |
| Loss Surveillance Project | 0.6097 |
| quiet place | 0.529332 |
| impairment severity | 0.513241 |
| industry sector | 0.534534 |
| DALYs | 0.57634 |
| hearing impairment levels | 0.623331 |
| worker hearing impairment | 0.601684 |
| additional hearing loss | 0.553777 |
| moderate impairment | 0.524617 |
| Global Burden | 0.519577 |
|
| United States | 0.528098 |
| greater average hearing | 0.520509 |
| dB†average hearing | 0.524057 |
| disability weight | 0.551414 |
| Occupational Safety | 0.520282 |
| hearing threshold level | 0.680445 |
| prevalence | 0.579819 |
| hearing loss risks | 0.568494 |
| North American Industry | 0.508473 |
| noise-exposed workers | 0.575656 |
| GBD Study disability | 0.618066 |
| workers | 0.810994 |
| National Institute | 0.53418 |
| NIOSH Occupational Hearing | 0.585558 |
| mild hearing loss | 0.539861 |
| hearing protection | 0.502845 |
| public safety sector | 0.521134 |
| relative standard error | 0.583595 |
| NA NA NA | 0.61494 |
| impairment | 0.88647 |
| American Industry Classification | 0.50847 |
| worse impairment | 0.536544 |
| Study disability weights | 0.517274 |
| average hearing threshold | 0.67868 |
|
CLICK HERE |