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Centers for Disease Control and Prevention |
Html |
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Global Health - Suriname |
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| Content source | 0.892652 |
| HHS | 0.699811 |
| endorsement | 0.682673 |
| CDC | 0.617915 |
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| non-federal site | 0.998525 |
| Notice | 0.617482 |
| sponsors | 0.49087 |
| information | 0.490002 |
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| 7615 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Race/Ethnicity and Self-Reported Levels of Discrimination and Psychological Distress, California, 2005 - CDC |
Little is known about the relationship between discrimination and distress among multiple racial groups because previous studies have focused primarily on either blacks or Asian Americans. The objective of this study was to assess the association between self-reported experiences of racial discrimination and symptoms of psychological distress among 5 racial/ethnic groups in California. |
| mental health status | 0.290782 |
| discrimination experiences | 0.234631 |
| health insurance | 0.2194 |
| mean discrimination scores | 0.29425 |
| citizenship status | 0.216279 |
| psychological distress | 0.944785 |
| blacks | 0.29854 |
| California Health Interview | 0.225568 |
| health insurance status | 0.213914 |
| whites | 0.311429 |
| single-item discrimination measure | 0.254191 |
| non-Hispanic blacks | 0.201412 |
| education level | 0.213352 |
| discrimination | 0.77605 |
| general health status | 0.373271 |
| discrimination places | 0.23704 |
| Kessler 6-item Psychological | 0.229435 |
| multiple racial groups | 0.206335 |
| racial groups | 0.218733 |
| health insurance coverage | 0.21191 |
| minority groups | 0.2035 |
|
| racial/ethnic groups | 0.287629 |
| distress levels | 0.22666 |
| whites experienced discrimination | 0.284182 |
| poorer mental health | 0.210108 |
| response rate | 0.22113 |
| past-month distress | 0.20433 |
| Health Interview Survey | 0.218844 |
| psychological distress symptoms | 0.417926 |
| major discrimination | 0.235035 |
| racial/ethnic minorities | 0.210565 |
| generalized distress | 0.202422 |
| health status | 0.399086 |
| higher levels | 0.218641 |
| 6-item Psychological Distress | 0.31255 |
| self-reported everyday discrimination | 0.277321 |
| discrimination measure | 0.257425 |
| employment status | 0.217552 |
| Psychological Distress Scale | 0.311458 |
| self-reported discrimination | 0.432339 |
| racial discrimination | 0.679229 |
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| 8690 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0239 |
Volumen 10 — el 25 de abril de 2013. |
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CLICK HERE |
| 9086 |
Centers for Disease Control and Prevention |
Html |
en |
Homicide Rates Among Persons Aged 10-24 Years - UnitedStates, 1981-2010 |
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. |
| crime perpetrator groups | 0.471308 |
| effective prevention strategies | 0.466968 |
| Alternate Text | 0.474926 |
| Homicide counts | 0.551935 |
| blacks | 0.466629 |
| homicide rates | 0.916052 |
| non-firearm homicide rates | 0.57476 |
| overall youth homicide | 0.559563 |
| firearm homicide | 0.604814 |
| decline | 0.529944 |
| violent crime rates | 0.490008 |
| nonfirearm homicide rate | 0.577056 |
| racial/ethnic groups | 0.48989 |
| homicide rate | 0.76916 |
| National Vital Statistics | 0.507483 |
| males | 0.462747 |
| persons | 0.563318 |
| young adults | 0.461565 |
| firearm homicide rate | 0.583343 |
| prevention strategies | 0.549586 |
| model-estimated rates | 0.518912 |
| innovative community-level strategies | 0.462417 |
| Annual homicide rates | 0.615839 |
| Injury Prevention | 0.462666 |
| United States | 0.620739 |
|
| age group | 0.784608 |
| overall rate | 0.468384 |
| youth homicide rates | 0.623947 |
| deterrence strategies | 0.462191 |
| 30-year study period | 0.695175 |
| primary prevention strategies | 0.546287 |
| youth violence | 0.59212 |
| primary prevention | 0.600205 |
| Web-based Injury Statistics | 0.46671 |
| youth homicide rate | 0.564498 |
| National homicide | 0.557191 |
| law enforcement | 0.507228 |
| community response strategies | 0.463793 |
| lowest rate | 0.4695 |
| firearm homicides | 0.474134 |
| population estimates | 0.461697 |
| groups | 0.495751 |
| Prevent Youth Violence | 0.472534 |
| 5-year age group | 0.479504 |
| nonfirearm homicides | 0.467539 |
| highest rates | 0.464145 |
| rate regression modeling | 0.469173 |
| public health sector | 0.554478 |
| Youth Violence Prevention | 0.482566 |
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| 10527 |
Centers for Disease Control and Prevention |
Html |
en |
Conference Call September 18, 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 |
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| DOC | 0.368812 |
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| page | 0.276773 |
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| 10889 |
Centers for Disease Control and Prevention |
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CDC concludes Indiana MERS patient did not spread virus to Illinois business associate | Press Release | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| active infection | 0.496486 |
| MERS-CoV antibodies | 0.512189 |
| CDC | 0.808625 |
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| MERS-CoV | 0.617277 |
| Respiratory Syndrome Coronavirus | 0.572073 |
| face-to-face contact | 0.490441 |
| definitive serology test | 0.611553 |
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| definitive test | 0.493336 |
| immunofluorescent assay | 0.497783 |
| IFA results | 0.495921 |
| Indiana MERS patient | 0.959817 |
| active MERS-CoV infection | 0.574176 |
| global scientific community | 0.541523 |
| careful interpretation | 0.480469 |
| Illinois man | 0.5391 |
| additional blood samples | 0.547696 |
| serology testing | 0.606292 |
| Preliminary ELISA | 0.494374 |
| East Respiratory Syndrome | 0.737809 |
| CDC officials | 0.610561 |
|
| David Swerdlow | 0.497716 |
| initial ELISA | 0.492516 |
| voluntary testing | 0.493603 |
| blood samples | 0.566664 |
| public health threat | 0.677147 |
| IFA serology results | 0.621271 |
| undue concern | 0.483799 |
| vigilant approach | 0.482194 |
| business meeting | 0.495986 |
| immediate public health | 0.540751 |
| Saudi Arabia | 0.495501 |
| immune response | 0.486239 |
| Illinois associate | 0.500512 |
| close contact | 0.48226 |
| Illinois resident | 0.742292 |
| antibody test | 0.485349 |
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| Middle East Respiratory | 0.737865 |
| CDC scientists | 0.579106 |
| MERS recommendations | 0.555763 |
| local public health | 0.576288 |
| MERS-CoV response | 0.496568 |
| enzyme-linked immunosorbent assay | 0.571162 |
|
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| 12094 |
Centers for Disease Control and Prevention |
Html |
en |
Antiretroviral Therapy Enrollment Characteristics andOutcomes Among HIV-Infected Adolescents and Young Adults Comparedwith Older Adults - Seven African Countries, 2004-2013 |
Andrew F. Auld, MBChB1, Simon G. Agolory, MD1, Ray W. |
| high rates | 0.475955 |
| youngest age group | 0.730539 |
| new HIV infections | 0.509381 |
| data | 0.470897 |
| Suboptimal ART adherence | 0.468252 |
| higher LTFU rates | 0.521718 |
| global HIV incidence | 0.488557 |
| Global HIV/AIDS | 0.487009 |
| adolescent HIV incidence | 0.49614 |
| ART enrollment | 0.513453 |
| annual HIV-related deaths | 0.463248 |
| ART initiation | 0.518219 |
| high LTFU rates | 0.473097 |
| World Health Organization | 0.461101 |
| oldest age group | 0.657956 |
| Global Health | 0.485935 |
| countries | 0.531219 |
| study-eligible ART patients | 0.480374 |
| HIV-related mortality | 0.475886 |
| Andrew F. Auld | 0.501752 |
| age groups | 0.529801 |
| median baseline | 0.481566 |
| ART enrollment characteristics | 0.475346 |
| younger age groups | 0.474061 |
| higher mortality | 0.472922 |
|
| higher background rates | 0.461806 |
| young adults | 0.559941 |
| statistical significance | 0.505943 |
| age group | 0.92342 |
| age-related ART retention | 0.479935 |
| daily new HIV | 0.470554 |
| adult art enrollees | 0.846789 |
| CУДte d'Ivoire | 0.588162 |
| clinical characteristics | 0.501688 |
| Median baseline hemoglobin | 0.462762 |
| African countries | 0.495884 |
| median baseline weight | 0.462724 |
| young age | 0.462614 |
| predominantly female adolescent | 0.465635 |
| mortality risk | 0.458009 |
| global annual number | 0.465722 |
| HIV incidence | 0.573711 |
| ART medical records | 0.475823 |
| significantly higher rates | 0.466737 |
| higher documented mortality | 0.523942 |
| young adult ART | 0.771201 |
| older adults | 0.544054 |
| Mortality ascertainment | 0.462092 |
| adolescent mortality | 0.470917 |
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| 13062 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Identifying PostpartumIntervention Approaches to Reduce Cardiometabolic Risk AmongAmerican Indian Women With Prior Gestational Diabetes, Oklahoma,2012-2013 - CDC |
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. |
| diabetes prevention | 0.458191 |
| high risk perception | 0.569346 |
| DM risk | 0.484633 |
| lifestyle behavioral change | 0.471819 |
| GDM pregnancy | 0.557058 |
| postpartum lifestyle program | 0.518776 |
| healthy lifestyle | 0.557622 |
| risk perception | 0.696658 |
| postpartum lifestyle | 0.608531 |
| social support | 0.454952 |
| cardiometabolic risk | 0.524062 |
| lifestyle modification program | 0.550681 |
| postpartum lifestyle change | 0.522284 |
| DM prevention | 0.443952 |
| American Indian women | 0.549689 |
| AI women | 0.824936 |
| lifestyle change program | 0.521143 |
| gestational diabetes mellitus | 0.555167 |
| first-degree family member | 0.447222 |
| CVD | 0.581351 |
| healthy lifestyle behaviors | 0.528394 |
| women | 0.996163 |
| predominantly white women | 0.441938 |
| cardiometabolic risk GDM | 0.496166 |
| study | 0.448559 |
|
| postpartum lifestyle modification | 0.557971 |
| intensive lifestyle program | 0.449808 |
| High CVD burden | 0.455487 |
| individual interviews | 0.498882 |
| lifestyle changes | 0.577806 |
| lifestyle modification | 0.60599 |
| heart disease | 0.475451 |
| focus groups | 0.6763 |
| healthy lifestyle changes | 0.472388 |
| lifestyle modification interventions | 0.443116 |
| prior GDM | 0.805044 |
| cardiovascular disease | 0.459337 |
| DM risk perception | 0.483658 |
| tribal community | 0.445723 |
| Oklahoma AI women | 0.577228 |
| lifestyle change | 0.621588 |
| lifestyle modification intervention | 0.455548 |
| lifestyle | 0.646718 |
| potential lifestyle modification | 0.46586 |
| tribal health | 0.47826 |
| Diabetes Prevention Program | 0.444959 |
| family history | 0.527741 |
| focus group | 0.662204 |
| CVD prevention | 0.442996 |
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Centers for Disease Control and Prevention |
Html |
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Sustain Improvement Results - Tools for Successful CHIEfforts - Chi Nav - CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| additional related tools | 0.489108 |
| Charitable Hospitals | 0.730916 |
| programmatic sustainability | 0.365521 |
| backbone infrastructure | 0.308327 |
| IRS Final Rule | 0.758586 |
| environmental strategies | 0.307447 |
| Health Needs Assessments | 0.956704 |
| BBI | 0.215307 |
| Checklist tabs | 0.305111 |
| marketing plans | 0.315698 |
| Internal Revenue Service | 0.466527 |
| key concepts | 0.746328 |
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| Example tabs | 0.312913 |
| Successful CHI Efforts | 0.471358 |
| community initiatives | 0.321569 |
|
| key concept | 0.315941 |
| sustainable policy | 0.307875 |
| Collective Impact Approach | 0.480603 |
| long-term success | 0.336398 |
| C.F.R. pts | 0.31626 |
| lasting change | 0.327872 |
| Collective ownership | 0.303821 |
| additional tools | 0.306334 |
| Excise Tax Return | 0.465002 |
| CHI process | 0.342955 |
| environmental solutions | 0.320623 |
| significant issues | 0.30454 |
| sustainability planning | 0.376049 |
| 13Additional Requirements | 0.293302 |
| chi efforts | 0.66827 |
| Community Health Needs | 0.920357 |
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Centers for Disease Control and Prevention |
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Preventing Multiple Forms of Violence | CDC Features |
CDC’s new strategic vision outlines preventing multiple forms of violence. |
| sexual violence | 0.444234 |
| shape future funding | 0.242553 |
| strategic vision outlines | 0.281403 |
| chronic health effects | 0.232621 |
| share common risk | 0.230251 |
| share common consequences | 0.242984 |
| multiple forms | 0.336367 |
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| Violence Prevention | 0.375006 |
| different forms | 0.746879 |
| youth violence | 0.445365 |
| intimate partner violence | 0.5751 |
| violence share | 0.474879 |
| health effects | 0.260739 |
| violence | 0.905512 |
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CLICK HERE |