ARTICLES LIST

 

Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
9249 Centers for Disease Control and Prevention Html 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 among0.400952
mental health0.402408
Salud Comunitaria0.403804
results from0.400905
National Health Interview0.402197
psychological distress0.411061
Arch Gen Psychiatry0.403542
Programa Epi Scholars0.401437
New York City0.405791
indicadores ses0.402493
Psychol Med0.401884
Mokdad AH0.400887
NPD frente0.402512
menor prevalencia0.401191
psychiatric disorders across0.401818
respectivas contrapartes0.401011
Mexican Americans0.400916
nonspecific psychological distress0.40589
Shrout PE0.401717
mental illness0.401312
serious psychological distress0.402075
Health Interview Survey0.402265
Estados Unidos0.571875
Nueva York frente0.404562
Health Statistics0.401351
Nueva York0.992051
Rican mental health0.401221
Canino G0.40165
United States0.404144
Alegria M0.401752
grupo étnico puertorriqueño0.400875
Epidemiol Community Health0.400871
alta prevalencia0.403759
Soc Sci0.401798
Kessler RC0.404033
among puerto ricans0.401515
puerto rican0.403584
Cuban Americans0.400933
Community Health0.40126
Mental health status0.401118
public health0.404866
Community Health Survey0.401011
McVeigh KH0.401051
York City Department0.401438
blancos hispanos0.408122
Higiene Mental0.403146
escala k60.417412
psychological distress among0.40106
psychiatric disorders0.404642
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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 plazo0.741992
logrado gracias0.775807
Estados Unidos0.61472
marcada reducción0.931058
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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.
MPEG0.378858
search0.263099
PDF0.261307
PPT0.446092
DOC0.368812
information0.262482
different file formats0.938484
page0.276773
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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).
CRCs0.340069
mass casualty radiation0.908318
process0.340887
CDC0.369098
simulation programs0.530542
CRC-STEP0.326816
professionals0.345208
emergency0.345442
community reception centers0.788094
planners0.449154
people0.344621
crucial role0.626655
CRC models0.576259
radioactive material0.611605
information0.338276
links0.33784
population monitoring0.557548
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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.
MPEG0.378858
search0.263099
PDF0.261307
PPT0.446092
DOC0.368812
information0.262482
different file formats0.938484
page0.276773
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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.
treatment0.31677
breast problems0.640565
biopsies0.328121
surgeon0.320768
cancer cells0.395411
areas0.336515
tissue0.31717
visit Stages0.3932
Review0.316824
Research0.316806
body scan0.402162
type0.31684
detailed X-ray0.402712
microscope0.319382
diagnostic mammogram0.531652
Biopsy.0.31736
MRI scan0.410324
Breast Biopsy0.63142
staging0.319237
area0.318231
process0.317281
different kinds0.397424
detailed pictures0.49171
sonograms0.327315
testing0.317217
sound waves0.40792
breast cancer0.809911
Families0.316775
Breast ultrasound0.6497
open biopsy0.425462
breast specialist0.66538
additional tests0.413233
lumps0.326828
Magnetic resonance imaging0.488759
lymph nodes0.40484
doctors0.411985
machine0.318666
core biopsy0.425691
screening mammogram0.449353
fine-needle aspiration0.418161
information0.333944
breast0.910912
experts0.318922
women0.337563
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11081 Centers for Disease Control and Prevention Html en Using this Course | NCBDDD null
smartphone0.453733
internet browser0.665533
screen0.535484
group discussion0.619106
browser upgrades0.670865
mouse0.49657
tablet0.446588
percentage0.451577
options0.447565
links0.443391
scroll bar0.700598
free online0.68375
click buttons0.724514
internet browsers0.67147
black bar0.643825
module0.979098
continuing education0.619416
click0.747134
CDC eLearning site0.834174
modules0.539472
CE credit0.796763
ActEarly0.449949
newer versions0.690182
Skip0.445307
header0.448163
Training content0.638799
additional assistance0.682002
document0.47612
laptop computers0.653284
highlight0.444982
ways0.447821
desktop0.444932
Progress Bar0.620432
end0.476556
quiz0.477578
finger0.444523
middle0.443557
wrong answers0.639855
final evaluation0.631966
training functions0.686584
up-to-date version0.680581
team meetings0.626794
small wheel0.651394
discussion points0.619428
module number0.869799
cdc.gov0.449929
technical difficulties0.683281
quizzes0.476534
left navigation bar0.864762
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11545 Centers for Disease Control and Prevention Html en Publications, Data, & Statistics | Shigella-Shigellosis null
Shigella bacteremia0.388592
Shigella serotypes0.385859
resistant Shigella sonnei0.422879
multidrug-resistant Shigella sonnei0.454872
Shigella sonnei infection.0.410759
Shigella sonnei resistant0.453896
Huang JY0.38273
antimicrobial resistance0.363194
Emerg Infect Dis.0.51051
Hedberg K. Shigellosis0.369176
Shigella sonnei infection0.490169
Morb Mortal Wkly0.936946
risk factors0.361439
Lancet Infect Dis.0.359098
Cronquist AB0.393199
u.s. sites0.359801
multidrug-resistant Shigella infections0.416081
Shigella sonnei. Pediatr0.401532
azithromycin-resistant Shigella0.387221
Foodborne Diseases Active0.400478
Clin Infect Dis.0.532167
Infect Dis.0.610789
Shigella sonnei Int0.418605
Shigella sonnei Associated0.421058
D. Shigella outbreak0.420183
United States0.432253
ciprofloxacin-resistant shigella sonnei0.482173
Shigella sonnei enterocolitis0.407122
S. Ciprofloxacin-resistant Shigella0.403871
Shigella sonnei gastroenteritis0.458039
Shigella species0.38518
MMWR Morb Mortal0.934861
Shigella dysenteriae type0.428766
Koibuchi T. Shigella0.396237
K. Shigellosis outbreak0.393724
Henao OL0.387391
CDC. Shigella0.426705
men0.366598
resistant Shigella dysenteriae0.407239
virulent Shigella flexneri.0.401828
Mortal Wkly Rep.0.87804
Cieslak PR0.361026
Shigella sonnei0.681189
Griffin PM0.40103
Bekal S. Shigella0.402822
Shigella sonnei outbreak0.522745
Bowen A. Shigella0.407627
Diseases Active Surveillance0.463517
Shigella flexneri serotype0.422056
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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 rates0.542073
baseline data0.482394
adolescent obesity0.533643
Tennessee State University0.690858
higher prevalence0.519991
Southern Appalachian region0.481998
high school education0.838755
parental education0.625712
BMI z scores0.47077
obesity prevention0.563918
rural areas0.49257
obesity0.942489
body mass index0.777955
BMI z score0.573914
healthy living0.557311
higher body mass0.504328
physical activity restrictions0.456037
southern appalachian adolescents0.662332
mother’s education0.518504
maternal education0.471822
outcome variable0.48799
severe orthopedic problems0.450497
father’s education0.519931
family income level0.458858
model logistic regression0.535768
family household income0.57381
higher likelihood0.63917
95th percentile0.60559
study0.556517
Public Health0.479281
Youfa Wang0.44999
Study exclusion criteria0.479639
institutional review board0.452531
annual family household0.578531
East Tennessee State0.698044
Prevention growth charts0.45559
SAS Institute0.454979
weight status0.539654
overweight0.472983
paternal education0.545974
students provided assent0.460018
family income0.508849
logistic mixed models0.459951
Healthy Living study0.497622
SAS version0.455025
obesity risk factors0.6523
household education level0.49722
Lifetime Wellness classes0.453277
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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 Study0.857119
Hearing Loss Surveillance0.669061
severe hearing impairment0.580259
occupational hearing loss0.952689
hearing impairment0.799218
Study audiometric definitions0.512893
better ear0.652677
dB average hearing0.612574
sector0.603429
hearing threshold values0.543989
severe impairment0.519184
mild impairment0.528011
audiometric definitions0.559863
substantial hearing impairment0.599569
Loss Surveillance Project0.6097
quiet place0.529332
impairment severity0.513241
industry sector0.534534
DALYs0.57634
hearing impairment levels0.623331
worker hearing impairment0.601684
additional hearing loss0.553777
moderate impairment0.524617
Global Burden0.519577
United States0.528098
greater average hearing0.520509
dB† average hearing0.524057
disability weight0.551414
Occupational Safety0.520282
hearing threshold level0.680445
prevalence0.579819
hearing loss risks0.568494
North American Industry0.508473
noise-exposed workers0.575656
GBD Study disability0.618066
workers0.810994
National Institute0.53418
NIOSH Occupational Hearing0.585558
mild hearing loss0.539861
hearing protection0.502845
public safety sector0.521134
relative standard error0.583595
NA NA NA0.61494
impairment0.88647
American Industry Classification0.50847
worse impairment0.536544
Study disability weights0.517274
average hearing threshold0.67868
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