| 2128 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Preventing Tobacco Use Among Youth and Young Adults: A Report of the Surgeon General |
Back to EBR Search. |
| Office | 0.344505 |
| Centers | 0.344883 |
| classification scheme | 0.556314 |
| statistical significance | 0.553519 |
| evidence-based resources | 0.768969 |
| tobacco-related Surgeon General | 0.904115 |
| youth ages | 0.573518 |
| Human Services | 0.998005 |
| U.S. Department | 0.738411 |
| epidemiology | 0.353907 |
| Health Promotion | 0.573883 |
| Disease Control | 0.555062 |
| Atlanta | 0.345172 |
| specific criteria | 0.549427 |
| magnitude | 0.359056 |
| GA | 0.342722 |
| internal validity | 0.585509 |
| power | 0.341945 |
| Healthy People | 0.554324 |
| sample size | 0.545082 |
| external validity | 0.581302 |
|
| National Center | 0.567416 |
| publication type | 0.541928 |
| epidemic | 0.362058 |
| meaningfulness | 0.381992 |
| quality | 0.342726 |
| Chronic Disease Prevention | 0.77415 |
| subject matter | 0.554604 |
| interventions | 0.358382 |
| publication status | 0.542304 |
| young adults | 0.838345 |
| potential biases | 0.573649 |
| Jan | 0.342024 |
| potential confounders | 0.542998 |
| report | 0.396808 |
| additional effect | 0.615082 |
| Internet | 0.345742 |
| effect size | 0.611233 |
| experts | 0.342796 |
| health effects | 0.59263 |
| dimensions | 0.345051 |
|
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| 14662 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Effectiveness of Weight Management Interventions in Children: A Targeted Systematic Review for the USPSTF |
null |
| Pediatrics | 0.539964 |
| Task Force | 0.736422 |
| evidence-based resources | 0.915716 |
| Human Services | 0.869829 |
| U.S. Department | 0.870795 |
| USPSTF | 0.575037 |
| number | 0.531093 |
| specific criteria | 0.697205 |
| sample size | 0.689235 |
| external validity | 0.72107 |
| obesity | 0.544289 |
| Federal Government Web | 0.859377 |
| Lutz KW | 0.750696 |
| e396–e418 | 0.533535 |
| intensive behavioral interventions | 0.973174 |
| subject matter | 0.700738 |
| Whitlock EP | 0.763196 |
| potential confounders | 0.687633 |
| Epub | 0.568985 |
| Internet | 0.53382 |
| effect size | 0.758547 |
| Beil TL | 0.774963 |
| classification scheme | 0.692708 |
| statistical significance | 0.69043 |
|
| U.S. Preventive Services | 0.957493 |
| http://pediatrics.aappublications.org/content/125/2/e396.long | 0.535139 |
| SB | 0.553446 |
| Weight Management Interventions | 0.937687 |
| children age | 0.738156 |
| weight status | 0.735152 |
| studies | 0.531061 |
| magnitude | 0.545076 |
| internal validity | 0.725499 |
| Healthy People | 0.700226 |
| Targeted Systematic Review | 0.901953 |
| Feb | 0.541136 |
| Effectiveness | 0.53538 |
| set | 0.531366 |
| publication type | 0.696349 |
| Independence Avenue | 0.694081 |
| meaningfulness | 0.566303 |
| improvement | 0.531235 |
| clinicians screen | 0.746957 |
| publication status | 0.696344 |
| potential biases | 0.715305 |
| Jan | 0.580042 |
| additional effect | 0.756957 |
| experts | 0.532109 |
|
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| 14669 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients) |
null |
| Acceptable Macronutrient Distribution | 0.490854 |
| evidence-based resources | 0.480606 |
| dietary energy | 0.56879 |
| Scientific Evaluation | 0.395934 |
| Subcommittee | 0.347638 |
| Human Services | 0.388726 |
| U.S. Department | 0.388913 |
| dietary fat | 0.547742 |
| specific criteria | 0.385913 |
| Dietary Reference Intakes | 0.907831 |
| sample size | 0.388115 |
| external validity | 0.39883 |
| obesity | 0.343094 |
| National Academies Press | 0.484475 |
| subject matter | 0.387297 |
| potential confounders | 0.3875 |
| macronutrients | 0.37784 |
| healthy individuals | 0.410976 |
| dietary fiber | 0.714579 |
| effect size | 0.413852 |
| populations | 0.317708 |
| classification scheme | 0.388532 |
| statistical significance | 0.387625 |
| Fatty Acids | 0.409117 |
|
| United States | 0.408294 |
| Nutrition Board | 0.395583 |
| dietary carbohydrate | 0.561319 |
| Upper Reference Levels | 0.483204 |
| Nutrients | 0.319148 |
| definition | 0.332975 |
| magnitude | 0.319505 |
| internal validity | 0.401629 |
| Healthy People | 0.391476 |
| reference values | 0.41395 |
| energy sources | 0.403488 |
| Standing Committee | 0.39609 |
| set | 0.330513 |
| chronic diseases | 0.398419 |
| publication type | 0.386473 |
| meaningfulness | 0.328497 |
| Amino Acids | 0.407667 |
| Cholesterol | 0.318341 |
| physical activity | 0.398656 |
| Panel | 0.328125 |
| National Academies | 0.497554 |
| publication status | 0.386584 |
| potential biases | 0.398292 |
| report | 0.332784 |
|
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| 14690 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Cervical Cancer Screening Intervention Programs— RTIPs |
null |
| evidence-based resources | 0.763931 |
| following criteria | 0.61676 |
| reach | 0.432378 |
| Community Guide findings | 0.81576 |
| James Bell Associates | 0.790388 |
| public health practitioners | 0.830894 |
| Human Services | 0.597594 |
| research findings | 0.640368 |
| U.S. Department | 0.598022 |
| Inc. | 0.434265 |
| program planners | 0.641313 |
| research integrity | 0.610345 |
| specific criteria | 0.605766 |
| immediate access | 0.641847 |
| associated materials | 0.604222 |
| sample size | 0.594903 |
| external validity | 0.623663 |
| RTIPs Web site | 0.781624 |
| quality | 0.431797 |
| cancer control interventions | 0.875637 |
| subject matter | 0.59578 |
| field | 0.433824 |
| peer review | 0.607597 |
| dissemination capability | 0.611064 |
|
| potential confounders | 0.593501 |
| effect size | 0.657449 |
| classification scheme | 0.59798 |
| statistical significance | 0.595897 |
| intervention impact | 0.65487 |
| research products | 0.615764 |
| adoption | 0.433014 |
| magnitude | 0.445136 |
| internal validity | 0.628622 |
| Healthy People | 0.595231 |
| effectiveness | 0.433082 |
| program materials | 0.646111 |
| publication type | 0.591627 |
| implementation | 0.432972 |
| searchable database | 0.639963 |
| peer-reviewed journal | 0.619751 |
| meaningfulness | 0.46566 |
| Research-tested Intervention Programs | 0.910972 |
| publication status | 0.59188 |
| potential biases | 0.619561 |
| additional effect | 0.656944 |
| experts | 0.463654 |
| research-tested materials | 0.644321 |
| publications | 0.433981 |
|
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| 14697 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Nurse Staffing and Quality of Patient Care |
null |
| Reports/Technology Assessments | 0.497551 |
| evidence-based resources | 0.572979 |
| patient ratios | 0.533506 |
| MPH | 0.421518 |
| Human Services | 0.49412 |
| consistency | 0.422616 |
| Timothy J Wilt | 0.504681 |
| U.S. Department | 0.494341 |
| MD | 0.445739 |
| specific criteria | 0.491313 |
| Observational studies | 0.511293 |
| sample size | 0.492736 |
| external validity | 0.505412 |
| Patient Care Evidence | 0.590512 |
| PhD | 0.430424 |
| quality | 0.442112 |
| subject matter | 0.493012 |
| Tatyana Shamliyan | 0.508312 |
| potential confounders | 0.492012 |
| acute care hospitals | 0.605502 |
| effect size | 0.521681 |
| Mar | 0.418386 |
| classification scheme | 0.493889 |
| statistical significance | 0.492858 |
|
| classes | 0.416583 |
| association | 0.416642 |
| patient outcomes | 0.71375 |
| nurse staffing policies | 0.761175 |
| Investigators | 0.416401 |
| magnitude | 0.421097 |
| internal validity | 0.508042 |
| Robert L Kane | 0.501108 |
| Healthy People | 0.492787 |
| relationship | 0.416929 |
| Healthcare Research | 0.502103 |
| Agency | 0.416322 |
| Christine Mueller | 0.502857 |
| nurse staffing strategies | 0.760385 |
| publication type | 0.491349 |
| nurse work | 0.61251 |
| meaningfulness | 0.430772 |
| Sue Duval | 0.504765 |
| hospital characteristics | 0.503647 |
| Meta-analysis | 0.426774 |
| publication status | 0.491479 |
| potential biases | 0.504019 |
| additional effect | 0.521208 |
| Report No. | 0.495642 |
|
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| 14773 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Increasing Cancer Screening: Reducing Structural Barriers for Clients—Updated recommendations for client- and provider-oriented interventions to increase breast, cervical, and colorectal cancer screen |
null |
| CDC/MMWR Topic Area | 0.230225 |
| study | 0.25201 |
| U.S. Preventive Services | 0.345633 |
| evidence-based resources | 0.297886 |
| cohort study | 0.251874 |
| CDC/NCIPC Topic Area | 0.230669 |
| United States Preventive | 0.349368 |
| USDA/CNPP Topic Area | 0.231203 |
| experimental study | 0.247298 |
| University College London | 0.210702 |
| Human Services | 0.205714 |
| Healthy People Topic | 0.204102 |
| Abdominal Aortic Aneurysm | 0.332879 |
| Substance Abuse | 0.326485 |
| IOM Topic Area | 0.252408 |
| intervention evaluations | 0.242569 |
| Topic Areas | 0.256011 |
| U.S. Department | 0.201709 |
| University College Medical | 0.210847 |
| Alcohol – Excessive | 0.281335 |
|
| Healthy People | 0.358741 |
| Preventive Services Task | 0.910352 |
| Leading Health Indicators | 0.208901 |
| Excessive Consumption | 0.289285 |
| Older Adults | 0.242493 |
| University College | 0.21194 |
| Services Task Force | 0.895127 |
| Gynecology Topic Area | 0.217578 |
| systematic review | 0.832289 |
| Randomized Controlled Trial | 0.337954 |
| Violence Prevention | 0.27458 |
| Behavioral Counseling Interventions | 0.20513 |
| States Preventive Services | 0.348373 |
| non-systematic review | 0.329671 |
| Adolescent Health | 0.215494 |
| Task Force Topic | 0.903226 |
| College Medical School | 0.212283 |
| Force Topic Area | 0.878239 |
| Community Preventive Services | 0.464296 |
|
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| 15085 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Colorectal Cancer: Screening – Adults Older Than Age 85 |
null |
| classification scheme | 0.576051 |
| statistical significance | 0.571942 |
| evidence-based resources | 0.907965 |
| Force | 0.350658 |
| adults | 0.350377 |
| Human Services | 0.805448 |
| U.S. Department | 0.807314 |
| number | 0.343994 |
| S.W. | 0.341606 |
| studies | 0.34393 |
| specific criteria | 0.586633 |
| magnitude | 0.371449 |
| internal validity | 0.626761 |
| Healthy People | 0.595959 |
| sample size | 0.55884 |
| Preventive Services Task | 0.910027 |
| external validity | 0.626579 |
|
| colorectal cancer | 0.652187 |
| set | 0.344537 |
| Federal Government Web | 0.789992 |
| Independence Avenue | 0.577241 |
| publication type | 0.574285 |
| meaningfulness | 0.403535 |
| control | 0.341888 |
| quality | 0.342639 |
| subject matter | 0.596272 |
| site | 0.342122 |
| publication status | 0.574881 |
| potential biases | 0.604205 |
| potential confounders | 0.555726 |
| additional effect | 0.682456 |
| effect size | 0.682782 |
| experts | 0.346281 |
| age | 0.350272 |
|
CLICK HERE |
| 15097 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Prostate Cancer: Screening (Clinical Guide Recommendation) |
null |
| site map | 0.656628 |
| S.W. | 0.43857 |
| Federal Government Web | 0.913585 |
| Health | 0.439347 |
| Independence Avenue | 0.772157 |
|
| Human Services | 0.669767 |
| page | 0.448213 |
| search box | 0.677124 |
| Washington | 0.438398 |
|
CLICK HERE |
| 15165 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Faith Communities Inspire Good Health – A CDC Preventive Health and Health Services Block Grant Success Story |
In this CDC Preventive Health and Health Services Block Grant success story, we looked at how the North Carolina Division of Public Health partnered with Wake County Human Services, North Carolina’s Eat Smart, Move More, and faith-based communities to address obesity and other chronic diseases among African Americans in Wake County, NC. |
| North Carolina | 0.918591 |
| Surveillance System surveys | 0.470192 |
| Public Health | 0.505495 |
| endorsement | 0.339889 |
| African Americans | 0.832096 |
| Human Services | 0.734145 |
| American Indian tribes | 0.604967 |
| prevention efforts | 0.461123 |
| community action | 0.502443 |
| daily basis | 0.469503 |
| obese | 0.372005 |
| U.S. Department | 0.583409 |
| active living | 0.488221 |
| healthy choices | 0.525509 |
| Carolina State Health | 0.693228 |
| Disease Control | 0.464252 |
| heart disease | 0.483795 |
| KB | 0.334698 |
| state health departments | 0.62998 |
| U.S. Government | 0.472009 |
| faith-based communities | 0.483642 |
| Population Health | 0.489749 |
| Preventive Health | 0.500411 |
| North Carolina Division | 0.644934 |
|
| overweight | 0.340257 |
| obesity | 0.378486 |
| 50 states | 0.466956 |
| higher risk | 0.488751 |
| North Carolinians | 0.524078 |
| chronic diseases | 0.652341 |
| Federal Government Web | 0.605046 |
| Independence Avenue | 0.460085 |
| web site | 0.590056 |
| People | 0.332359 |
| Wake County | 0.785504 |
| Wake County Human | 0.662758 |
| healthy eating | 0.505499 |
| Block Grant | 0.457063 |
| Disclaimer | 0.340557 |
| chronic conditions | 0.507539 |
| significantly higher rates | 0.640029 |
| medical costs | 0.47514 |
| specific product | 0.468747 |
| Eat Smart | 0.481263 |
| —Jeff Engle | 0.501388 |
| state’s budget | 0.483596 |
| Behavioral Risk Factor | 0.617945 |
|
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| 15179 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Texas Enhanced Comprehensive HIV Prevention Planning (ECHPP) Project: Dallas HIV Testing |
In this Who's Leading the Leading Health Indicators? story, we looked at how the Texas Department of State Health Services implemented the Enhanced Comprehensive HIV Prevention Planning Project to reduce new HIV infections, link people with HIV to care and treatment, and reduce HIV-related health disparities. |
| CDC-funded HIV testing | 0.529675 |
| high rates | 0.369002 |
| new HIV infections | 0.619488 |
| coordinated response | 0.372099 |
| injection drug | 0.376866 |
| male-to-male sexual contact | 0.549146 |
| U.S. Department | 0.367988 |
| local ECHPP objectives | 0.422296 |
| program planning | 0.372346 |
| HIV-related health disparities | 0.550678 |
| HIV status | 0.461566 |
| hard-to-reach populations | 0.459051 |
| United States.1 Â Ensuring | 0.443768 |
| Texas DSHS | 0.500629 |
| 4-year period | 0.369664 |
| HIV positive individuals | 0.562143 |
| situation analysis | 0.370478 |
| early identification | 0.369677 |
| black/African American MSM.3 | 0.493311 |
| Texas Department | 0.377524 |
| heterosexual contact | 0.381854 |
| HIV prevention activities | 0.533215 |
| link people | 0.374144 |
| black/African American MSM | 0.970461 |
| MSM population | 0.571398 |
|
| Dallas providers | 0.378189 |
| health department counseling | 0.440091 |
| American MSM communities | 0.627299 |
| State Health Services | 0.442695 |
| new diagnoses | 0.376817 |
| MSM community | 0.571562 |
| acid amplification testing | 0.439002 |
| high morbidity areas | 0.429928 |
| highest number | 0.371156 |
| HIV-positive individuals | 0.374398 |
| Comprehensive HIV Prevention | 0.536171 |
| Dallas area | 0.37956 |
| Dallas County Health | 0.441097 |
| testing trends | 0.376049 |
| United States.2 | 0.373353 |
| ECHPP goals | 0.37755 |
| undiagnosed individuals | 0.371593 |
| testing efforts | 0.382116 |
| Department Laboratory | 0.371386 |
| Planning Project | 0.372461 |
| HIV | 0.6479 |
| testing services | 0.386089 |
| HIV testing | 0.586094 |
| 3-year demonstration program | 0.436068 |
|
CLICK HERE |