| 2204 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Clinical Guideline for the Evaluation, Management and Long-term Care of Obstructive Sleep Apnea in Adults |
Back to EBR Search. |
| 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 |
| 2205 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Sleep Apnea, Sleepiness, and Driving Risk |
Back to EBR Search. |
| classification scheme | 0.649346 |
| statistical significance | 0.647478 |
| evidence-based resources | 0.807359 |
| nuances | 0.549962 |
| education | 0.525927 |
| Human Services | 0.648985 |
| recommendations | 0.524851 |
| U.S. Department | 0.649434 |
| responsibilities | 0.532307 |
| physicians | 0.526637 |
| medical condition | 0.674135 |
| specific criteria | 0.646495 |
| magnitude | 0.536488 |
| internal validity | 0.669005 |
| Healthy People | 0.650616 |
| sleep apnea | 0.951029 |
| sample size | 0.640139 |
| external validity | 0.668067 |
| circumstantial legal obligations | 0.838272 |
| set | 0.524094 |
|
| publication type | 0.639845 |
| patients | 0.526591 |
| meaningfulness | 0.55092 |
| control | 0.524075 |
| sleepiness | 0.555136 |
| authorities | 0.575821 |
| quality | 0.524439 |
| subject matter | 0.650723 |
| risks | 0.572036 |
| publication status | 0.640103 |
| potential biases | 0.659726 |
| potential confounders | 0.638719 |
| additional effect | 0.690402 |
| risk | 0.525669 |
| effect size | 0.68813 |
| drivers | 0.525806 |
| experts | 0.524898 |
| health effects | 0.651419 |
| duties | 0.530475 |
|
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| 2243 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Diabetes Prevention and Control: Disease Management Programs—Recommendations for healthcare system and self-management education interventions to reduce morbidity and mortality from diabetes. (Commun |
Back to EBR Search. |
| 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 |
| 2570 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Freedom to Breathe Act — One Coalition's Work to Clear the Air for the People of Minnesota |
In this Who's Leading the Leading Health Indicators? story, we looked at how ClearWay Minnesota collaborated with others, including the Minnesota Department of Health, to pass legislation that banned smoking in public places. |
| Minnesota Adult Tobacco | 0.451121 |
| indoor places | 0.375809 |
| general public | 0.376652 |
| smoke-free policy | 0.653404 |
| smoke-free laws | 0.566207 |
| education opportunities | 0.371101 |
| Minnesota Department | 0.453065 |
| tobacco-free campus policies | 0.448747 |
| Human Services | 0.367994 |
| Air Act | 0.37695 |
| time period | 0.368998 |
| annual Powwow | 0.378861 |
| Minnesota Clean Indoor | 0.467719 |
| secondhand smoke | 0.591076 |
| smoke-free housing policies | 0.827187 |
| local policy grantees | 0.476624 |
| tribal grantees | 0.412711 |
| nonprofit organization | 0.377048 |
| CentraCare Health Foundation | 0.44839 |
| smoke-free campus policies | 0.76641 |
| web site | 0.368455 |
| MDH grantees | 0.447033 |
| smoke-free spaces | 0.544118 |
| White Earth Nation | 0.435497 |
| past week.1 | 0.383329 |
|
| smoke-free Powwow policies | 0.640654 |
| indoor public places | 0.439967 |
| multiple strategies | 0.375208 |
| HRA facilities | 0.402685 |
| tribal grantee | 0.376498 |
| Breathe Act | 0.440393 |
| tobacco-free worksite policies | 0.451136 |
| ClearWay Minnesota | 0.951121 |
| smoke-free policies | 0.667516 |
| policy grants | 0.379055 |
| public education | 0.374194 |
| Redevelopment Authority | 0.369764 |
| ClearWay Minnesota grantees | 0.726709 |
| St. Cloud Housing | 0.43239 |
| tribal grants | 0.371465 |
| harmful effects | 0.382565 |
| secondhand smoke exposure | 0.54977 |
| statewide coalition | 0.377301 |
| Blue Cross Blue | 0.441462 |
| smoke-free workplace policy | 0.762439 |
| HRA board | 0.402541 |
| tobacco control stakeholders | 0.456706 |
| specific product | 0.368398 |
| CentraCare staff | 0.384052 |
|
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| 2584 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Community Air Risk Evaluation (CARE) improves health by identifying sources of air pollution in California's Bay Area |
In this Who's Leading the Leading Health Indicators? story, we looked at how the Bay Area Air Quality Management District improved air quality within the San Francisco Bay Area. |
| air quality.2 | 0.417118 |
| impacted communities | 0.335509 |
| California Air Resources | 0.499419 |
| Oakland Army Base | 0.519738 |
| health impact | 0.362413 |
| premature death.1 Diesel | 0.496287 |
| diesel emissions | 0.493157 |
| marine vessels | 0.32064 |
| older trucks | 0.346451 |
| Leading Health Indicator | 0.446254 |
| diesel engines | 0.478594 |
| health problems | 0.377392 |
| Bay Area | 0.68797 |
| Bay Area Air | 0.552301 |
| drayage trucks | 0.397378 |
| control agency | 0.33941 |
| major freeways | 0.330946 |
| West Oakland | 0.767302 |
| local inspectors | 0.318965 |
| health impacts | 0.360979 |
| DPM | 0.408236 |
| community members | 0.320499 |
| poor air quality | 0.699185 |
| Community Air Risk | 0.520314 |
|
| stringent emissions standards | 0.485487 |
| emissions factors | 0.363888 |
| Francisco Bay Area | 0.475663 |
| negative health outcomes | 0.430507 |
| particulate matter | 0.337932 |
| intermodal rail yards | 0.419382 |
| drayage truck emissions | 0.528534 |
| Air District | 0.930721 |
| complex mixture | 0.34036 |
| primary sources | 0.327757 |
| cardiovascular disease | 0.33887 |
| potential cancer risk | 0.433873 |
| West Oakland residents | 0.529947 |
| stationary sources | 0.336824 |
| highest rates | 0.319671 |
| drayage truck rule | 0.461019 |
| toxic air contaminant | 0.533025 |
| demonstrated impact | 0.327401 |
| regional air pollution | 0.58404 |
| older engines | 0.318466 |
| West Oakland community | 0.535812 |
| exhaust emissions | 0.374818 |
| Union Pacific rail | 0.432185 |
| air pollution | 0.699716 |
|
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| 2609 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Chronic Kidney Disease |
This objective was revised. See Revision History for Details. |
| donor kidney transplant | 0.330512 |
| Target-Setting Method | 0.269959 |
| lipids | 0.234755 |
| Human Services | 0.232392 |
| type | 0.227548 |
| serum creatinine | 0.336731 |
| U.S. Department | 0.230887 |
| medical evaluation | 0.321503 |
| primary mode | 0.291829 |
| deaths | 0.252355 |
| angiotensin-converting enzyme | 0.265522 |
| blood pressure | 0.233492 |
| renal replacement therapy | 0.498772 |
| deceased donor kidney | 0.333943 |
| Federal Government Web | 0.258273 |
| Baseline | 0.573419 |
| end-stage renal disease | 0.320879 |
| blood cholesterol | 0.262125 |
| persons | 0.381859 |
| receptor blockers | 0.267349 |
| standard population | 0.369651 |
| acute kidney injury | 0.341001 |
| new cases | 0.234682 |
| vascular access | 0.321056 |
|
| chronic kidney disease | 0.941428 |
| medical treatment | 0.260087 |
| followup renal evaluation | 0.32449 |
| proportion | 0.32046 |
| hospital patients | 0.262481 |
| CKD-14.2 Reduce | 0.230877 |
| kidney failure | 0.277367 |
| ESRD start | 0.233778 |
| percent | 0.403103 |
| cardiovascular deaths | 0.232736 |
| angiotensin II receptor | 0.268782 |
| cardiovascular disease | 0.231727 |
| informational purposes | 0.265359 |
| kidney disease patients | 0.325331 |
| Independence Avenue | 0.231002 |
| adult hemodialysis patients | 0.403012 |
| start | 0.247879 |
| U.S. population | 0.239386 |
| preemptive transplant | 0.232152 |
| microalbuminuria | 0.231519 |
| eye examinations | 0.265884 |
| arteriovenous fistulas | 0.301049 |
| renal function | 0.277388 |
| risk | 0.230864 |
|
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| 14665 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Accelerating Progess in Obesity Prevention: Solving the Weight of the Nation |
null |
| decade | 0.35593 |
| evidence-based resources | 0.739793 |
| Human Services | 0.536885 |
| Glickman | 0.371013 |
| recommendations | 0.341585 |
| U.S. Department | 0.537537 |
| Miller EA | 0.573578 |
| specific criteria | 0.53264 |
| obesity prevention | 0.948361 |
| Sim LJ | 0.594947 |
| sample size | 0.529344 |
| external validity | 0.571002 |
| goal | 0.342846 |
| National Academies Press | 0.800793 |
| Parker | 0.342221 |
| Accelerating Progress | 0.683122 |
| Weight | 0.340791 |
| quality | 0.338303 |
| subject matter | 0.537531 |
| potential measures | 0.56801 |
| potential confounders | 0.530139 |
| Internet | 0.34066 |
| effect size | 0.609879 |
| Cook HDV | 0.601182 |
|
| classification scheme | 0.538802 |
| statistical significance | 0.535917 |
| Nutrition Board | 0.557873 |
| document | 0.38685 |
| Committee | 0.341901 |
| Washington | 0.340149 |
| Institute | 0.341614 |
| eds. | 0.341989 |
| magnitude | 0.356787 |
| internal validity | 0.574535 |
| Healthy People | 0.537144 |
| Food | 0.341724 |
| set | 0.38135 |
| strategies | 0.346155 |
| publication type | 0.526889 |
| meaningfulness | 0.381348 |
| Medicine | 0.341569 |
| National Academies | 0.839716 |
| publication status | 0.527271 |
| potential biases | 0.563849 |
| Jan | 0.338413 |
| additional effect | 0.610777 |
| experts | 0.338456 |
| dimensions | 0.341767 |
|
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| 14805 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Increasing Tobacco Use Cessation: Provider Reminders with Provider Education—Recommendations regarding interventions to reduce tobacco use and exposure to environmental tobacco smoke. (Community Guid |
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 |
|
CLICK HERE |
| 15081 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Cervical Cancer: Screening – Women Younger Than Age 21 (Clinical Guide Recommendation) |
null |
| benefits | 0.349717 |
| classification scheme | 0.601386 |
| statistical significance | 0.597122 |
| evidence-based resources | 0.92458 |
| Force | 0.356011 |
| Human Services | 0.592085 |
| recommendation | 0.374908 |
| U.S. Department | 0.593071 |
| USPSTF | 0.604489 |
| harms | 0.385444 |
| specific criteria | 0.596153 |
| magnitude | 0.377718 |
| internal validity | 0.652241 |
| Healthy People | 0.604756 |
| sample size | 0.580633 |
| Preventive Services Task | 0.955913 |
| external validity | 0.652646 |
|
| set | 0.346725 |
| publication type | 0.581143 |
| certainty | 0.391325 |
| meaningfulness | 0.410965 |
| control | 0.34649 |
| cervical cancer | 0.673303 |
| quality | 0.347283 |
| subject matter | 0.60505 |
| net benefit | 0.610046 |
| publication status | 0.581725 |
| potential biases | 0.628289 |
| potential confounders | 0.577426 |
| additional effect | 0.708475 |
| effect size | 0.706383 |
| experts | 0.348372 |
| age | 0.355507 |
| dimensions | 0.357453 |
|
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| 15094 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Ovarian Cancer: Screening |
null |
| benefits | 0.346531 |
| classification scheme | 0.58065 |
| statistical significance | 0.577125 |
| evidence-based resources | 0.817353 |
| Force | 0.353949 |
| Human Services | 0.571168 |
| recommendation | 0.577958 |
| asymptomatic women | 0.66696 |
| U.S. Department | 0.571965 |
| example | 0.349391 |
| USPSTF | 0.565714 |
| harms | 0.374345 |
| specific criteria | 0.574019 |
| magnitude | 0.369099 |
| internal validity | 0.622244 |
| Healthy People | 0.580142 |
| sample size | 0.56477 |
| Preventive Services Task | 0.914816 |
| external validity | 0.62042 |
|
| genetic mutations | 0.653011 |
| set | 0.344256 |
| ovarian cancer | 0.967827 |
| BRCA mutations | 0.650435 |
| publication type | 0.562837 |
| certainty | 0.379254 |
| meaningfulness | 0.397806 |
| control | 0.344456 |
| quality | 0.34511 |
| subject matter | 0.580491 |
| net benefit | 0.583723 |
| publication status | 0.563308 |
| potential biases | 0.603902 |
| potential confounders | 0.562158 |
| additional effect | 0.666404 |
| risk | 0.349195 |
| effect size | 0.663556 |
| experts | 0.34552 |
|
CLICK HERE |