| 2151 |
Office of Disease Prevention and Health Promotion, Healthy People |
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School Health Guidelines To Promote Healthy Eating and Physical Activity |
Back to EBR Search. |
| site map | 0.656628 |
| S.W. | 0.43857 |
| Federal Government Web | 0.913585 |
| Health | 0.439347 |
| Independence Avenue | 0.772157 |
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| Human Services | 0.669767 |
| page | 0.448213 |
| search box | 0.677124 |
| Washington | 0.438398 |
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| 14769 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Behavioral & Social Approaches to Increase Physical Activity: Social Support Interventions in Community Settings—Recommendations to increase physical activity in communities. (Community Guide Recomme |
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| 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 |
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| 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 |
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| Community Preventive Services | 0.464296 |
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| 14842 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Universally Recommended Vaccinations: Immunization Information Systems. (Community Guide Recommendation) |
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| Task Force | 0.631585 |
| evidence-based resources | 0.804516 |
| Human Services | 0.597154 |
| vaccine management | 0.614642 |
| provider reminders | 0.62458 |
| U.S. Department | 0.59778 |
| vaccination coverage | 0.887365 |
| specific criteria | 0.591136 |
| clinicians | 0.440894 |
| vaccination rates | 0.815787 |
| sample size | 0.592084 |
| external validity | 0.623544 |
| disparities | 0.45756 |
| client vaccination status | 0.962382 |
| effective interventions | 0.625638 |
| subject matter | 0.595942 |
| persons | 0.432255 |
| IIS | 0.583882 |
| invalid dose administration | 0.823652 |
| schools | 0.43375 |
| potential confounders | 0.590451 |
| outbreaks | 0.445456 |
| effect size | 0.661736 |
| classification scheme | 0.595187 |
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| statistical significance | 0.592874 |
| vaccine-preventable disease | 0.644636 |
| client reminder | 0.624186 |
| recall systems | 0.625143 |
| immunization information systems | 0.880597 |
| health departments | 0.61266 |
| magnitude | 0.445412 |
| decisions | 0.433104 |
| internal validity | 0.628282 |
| Healthy People | 0.595448 |
| accountability | 0.441422 |
| capabilities | 0.434393 |
| geopolitical area | 0.626624 |
| publication type | 0.590734 |
| meaningfulness | 0.4669 |
| provider assessment | 0.615409 |
| vaccination opportunities | 0.776178 |
| publication status | 0.590911 |
| potential biases | 0.618211 |
| public health responses | 0.799316 |
| Community Preventive Services | 0.838222 |
| additional effect | 0.659935 |
| computerized databases | 0.607402 |
| providers | 0.432287 |
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| 14845 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Universally Recommended Vaccinations: Vaccination Programs in Schools & Organized Child Care Centers. (Community Guide Recommendation) |
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| Task Force | 0.464307 |
| evidence-based resources | 0.665351 |
| child care centers | 0.654249 |
| vaccinations | 0.249812 |
| Human Services | 0.424024 |
| tracking | 0.237466 |
| U.S. Department | 0.426305 |
| multicomponent interventions | 0.483118 |
| assessment | 0.237507 |
| children | 0.238568 |
| vaccination status | 0.621386 |
| specific criteria | 0.42018 |
| vaccination rates | 0.677917 |
| under-immunized school | 0.432656 |
| sample size | 0.417394 |
| external validity | 0.458382 |
| adolescents | 0.244669 |
| immunization rates | 0.498528 |
| immunization education | 0.488054 |
| quality | 0.235526 |
| subject matter | 0.42604 |
| child care center | 0.635821 |
| schools | 0.2389 |
| vaccination providers | 0.620109 |
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| provision | 0.242418 |
| potential confounders | 0.415365 |
| effect size | 0.500447 |
| classification scheme | 0.424628 |
| statistical significance | 0.421828 |
| decrease rates | 0.487445 |
| vaccine-preventable disease | 0.505366 |
| child care | 0.900379 |
| vaccination programs | 0.863288 |
| magnitude | 0.253782 |
| internal validity | 0.462112 |
| Healthy People | 0.425586 |
| morbidity | 0.269387 |
| publication type | 0.416414 |
| meaningfulness | 0.278318 |
| following components | 0.433597 |
| referral | 0.235146 |
| publication status | 0.415184 |
| potential biases | 0.448787 |
| mortality | 0.256524 |
| Community Preventive Services | 0.69635 |
| additional effect | 0.499641 |
| experts | 0.236099 |
| dimensions | 0.238761 |
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| 15064 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Skin Cancer: Counseling (Clinical Guide Recommendation) |
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| counseling children | 0.695103 |
| skin cancer | 0.687075 |
| Task Force | 0.697242 |
| classification scheme | 0.651874 |
| statistical significance | 0.648379 |
| U.S. Preventive Services | 0.961478 |
| evidence-based resources | 0.953556 |
| Human Services | 0.868602 |
| U.S. Department | 0.870168 |
| number | 0.440465 |
| S.W. | 0.438508 |
| studies | 0.440412 |
| specific criteria | 0.661164 |
| magnitude | 0.463252 |
| internal validity | 0.69681 |
| Healthy People | 0.66908 |
| sample size | 0.639441 |
| external validity | 0.69498 |
| set | 0.440919 |
| Federal Government Web | 0.852483 |
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| adolescents | 0.457853 |
| publication type | 0.652842 |
| Independence Avenue | 0.652465 |
| meaningfulness | 0.49194 |
| control | 0.438631 |
| quality | 0.439257 |
| subject matter | 0.669486 |
| site | 0.438938 |
| exposure | 0.452155 |
| publication status | 0.65334 |
| radiation | 0.446883 |
| young adults | 0.693998 |
| potential biases | 0.678484 |
| potential confounders | 0.636838 |
| additional effect | 0.744348 |
| ages | 0.446621 |
| risk | 0.446124 |
| effect size | 0.745005 |
| fair skin | 0.686737 |
| experts | 0.442451 |
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| 15071 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Aspirin for the Prevention of Cardiovascular Disease: Preventive Medication – Men Younger Than Age 45 |
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| classification scheme | 0.652231 |
| statistical significance | 0.648867 |
| evidence-based resources | 0.950144 |
| Force | 0.444158 |
| Human Services | 0.870233 |
| Washington | 0.439115 |
| U.S. Department | 0.87174 |
| number | 0.440779 |
| myocardial infarction prevention | 0.979116 |
| S.W. | 0.439167 |
| aspirin | 0.5186 |
| studies | 0.440727 |
| specific criteria | 0.660502 |
| magnitude | 0.462438 |
| internal validity | 0.694517 |
| Healthy People | 0.960736 |
| Preventive Medication | 0.753357 |
| sample size | 0.639946 |
|
| Preventive Services Task | 0.953208 |
| external validity | 0.692334 |
| Cardiovascular Disease | 0.708858 |
| set | 0.441217 |
| Federal Government Web | 0.856208 |
| Independence Avenue | 0.653601 |
| publication type | 0.652181 |
| meaningfulness | 0.490138 |
| quality | 0.439709 |
| subject matter | 0.667815 |
| site | 0.439586 |
| publication status | 0.652658 |
| potential biases | 0.677258 |
| potential confounders | 0.637446 |
| additional effect | 0.73898 |
| effect size | 0.738795 |
| experts | 0.442596 |
| age | 0.487546 |
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| 15075 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Lead Levels in Childhood and Pregnancy: Screening – Children (Clinical Guide Recommendation) |
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| site map | 0.656628 |
| S.W. | 0.43857 |
| Federal Government Web | 0.913585 |
| Health | 0.439347 |
| Independence Avenue | 0.772157 |
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| Human Services | 0.669767 |
| page | 0.448213 |
| search box | 0.677124 |
| Washington | 0.438398 |
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CLICK HERE |
| 15144 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Combating Youth Violence in Baltimore, Maryland Through Community Partnerships and Evidence-Based Interventions |
In this Who's Leading the Leading Health Indicators? story, we looked at how the Johns Hopkins University Center for the Prevention of Youth Violence implemented a community-wide youth violence prevention strategy throughout Baltimore. |
| Park Heights Renaissance | 0.479857 |
| Baltimore neighborhoods | 0.396511 |
| high rates | 0.378724 |
| Johns Hopkins University | 0.589719 |
| Park Heights community | 0.724145 |
| nation | 0.345266 |
| Human Services | 0.37504 |
| Academic Centers | 0.391003 |
| Safe Streets | 0.612673 |
| cultural norms | 0.381852 |
| program-related reductions | 0.384843 |
| U.S. Department | 0.374381 |
| homicide rates | 0.478837 |
| Disease Control | 0.392052 |
| create policies | 0.376301 |
| Cure Violence program | 0.550634 |
| U.S. Government | 0.374457 |
| Baltimore City | 0.390466 |
| gun violence | 0.478647 |
| significant problems | 0.382372 |
| highest homicide rate | 0.469829 |
| web site | 0.375652 |
| community-wide youth violence | 0.588048 |
| ACE programs | 0.439068 |
| high-risk communities | 0.47169 |
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| Maryland | 0.328804 |
| academic-community collaborations | 0.377096 |
| positive youth development | 0.464863 |
| highest homicide rates | 0.475156 |
| violent neighborhoods | 0.382274 |
| Safe Streets program | 0.46423 |
| prevention strategy | 0.45456 |
| intervention community | 0.391915 |
| youth violence | 0.954294 |
| malleable factors | 0.377585 |
| Lower Park Height | 0.478879 |
| JHCPYV leverages community | 0.46915 |
| conduct research | 0.373678 |
| highest homicide | 0.483 |
| Safe Streets prevention | 0.470872 |
| program sites | 0.379179 |
| CeaseFire | 0.319455 |
| Baltimore | 0.441749 |
| non-violent conflict mediation | 0.445467 |
| specific product | 0.375576 |
| JHCPYV Comprehensive | 0.380715 |
| Lower Park Heights | 0.951106 |
| evidence-based interventions | 0.568942 |
| non-fatal youth violence | 0.562911 |
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| 15168 |
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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| 15172 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Delta Rural Access Program: Increasing Access to Preventive Health Care in Western Alabama |
In this Who's Leading the Leading Health Indicators? story, we looked at how the Tombigbee Healthcare Authority worked to improve access to health services in rural communities. |
| diabetes prevention | 0.710465 |
| unmet health needs | 0.59737 |
| limited access | 0.466989 |
| Delta counties. | 0.444775 |
| care services | 0.466347 |
| community access | 0.462058 |
| health care information | 0.639581 |
| health insurance | 0.633661 |
| chronic health conditions | 0.823812 |
| health insurance outreach | 0.597412 |
| Delta region lead | 0.578662 |
| overall blood sugar | 0.518427 |
| community outlets. | 0.441153 |
| regular care | 0.435631 |
| Tombigbee Healthcare Authority | 0.552649 |
| 18-county Delta region | 0.603378 |
| health screenings | 0.482041 |
| western Alabama struggle | 0.57383 |
| lifestyle changes | 0.53997 |
| Delta Rural Access | 0.805132 |
| prescription drugs | 0.573987 |
| health services | 0.581291 |
| healthy lifestyle changes | 0.521848 |
| Rural Access Program | 0.800249 |
|
| health care providers | 0.606093 |
| rural areas | 0.448723 |
| health care options | 0.617286 |
| health care | 0.80916 |
| lower calorie diet | 0.52906 |
| western Alabama | 0.66629 |
| high poverty rates | 0.539114 |
| preventive health care | 0.626724 |
| overall health | 0.462133 |
| preliminary evaluation results | 0.525538 |
| literacy issues | 0.44178 |
| physical activity | 0.543425 |
| prevention classes | 0.438799 |
| Diabetes Education Program | 0.619533 |
| Family Lifestyle Approach | 0.537237 |
| Delta region | 0.908524 |
| health insurance enrollment | 0.566723 |
| high unemployment rates | 0.571964 |
| residents | 0.444594 |
| diabetes prevention program | 0.600028 |
| preventive services | 0.592941 |
| DRAP activities | 0.532976 |
| community centers | 0.441336 |
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