| 2350 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Recommendation against policies facilitating the transfer of juveniles from juvenile to adult justice systems for the purpose of reducing violence. (Community Guide Recommendation) |
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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CLICK HERE |
| 2569 |
Office of Disease Prevention and Health Promotion, Healthy People |
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California Tobacco Control Program — Decreasing Tobacco Use Through Social Norms and Policy |
In this Who's Leading the Leading Health Indicators? story, we looked at how the California Tobacco Control Program implemented tobacco control policies throughout the state, resulting in decreased tobacco use and reduced secondhand smoke exposure. |
| CTCP | 0.581796 |
| smoke-free disclosure ordinance | 0.433832 |
| Tehachapi Police Chief | 0.434568 |
| health equity | 0.372396 |
| public support | 0.373796 |
| media campaign | 0.374813 |
| local communities | 0.432767 |
| tobacco control issues | 0.582296 |
| Key components | 0.375608 |
| tobacco users | 0.536039 |
| secondhand smoke | 0.443199 |
| social environment | 0.448894 |
| California Tobacco Health | 0.657615 |
| Tobacco Control Program | 0.854037 |
| programmatic efforts | 0.39732 |
| health care services | 0.449407 |
| web site | 0.367842 |
| tobacco-free environments | 0.374753 |
| Tehachapi City Parks | 0.433697 |
| health care costs | 0.429071 |
| Smoking Prevalence | 0.381881 |
| tobacco industry | 0.534752 |
| tobacco products | 0.545723 |
| smoking policies | 0.385295 |
| California Tobacco Control | 0.844244 |
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| Kern County | 0.370697 |
| level tobacco control | 0.61575 |
| California Department | 0.391904 |
| Public Health | 0.385261 |
| Community engagement | 0.372067 |
| overall cigarette consumption | 0.425571 |
| Tobacco Free Coalition | 0.582456 |
| diverse individuals | 0.368978 |
| local health departments | 0.441029 |
| cigarette consumption | 0.435531 |
| harmful effects | 0.381672 |
| secondhand smoke exposure | 0.428562 |
| multi-unit housing facilities | 0.430193 |
| high school students | 0.426123 |
| tobacco control policies | 0.83583 |
| media strategy | 0.374953 |
| CTCP’s success | 0.4913 |
| San Francisco | 0.370267 |
| CTCP programs | 0.476949 |
| tobacco waste | 0.513375 |
| support tobacco-related research.1 | 0.445065 |
| Protection Act | 0.382284 |
| specific product | 0.367785 |
| social norms | 0.462038 |
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CLICK HERE |
| 14665 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Accelerating Progess in Obesity Prevention: Solving the Weight of the Nation |
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| 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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| 14688 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Guide to Building an Environmental
Public Health Tracking Network |
null |
| date | 0.339596 |
| Centers | 0.375023 |
| classification scheme | 0.516738 |
| statistical significance | 0.514129 |
| evidence-based resources | 0.766741 |
| environmental public health | 0.951197 |
| government entities | 0.568059 |
| Human Services | 0.721518 |
| U.S. Department | 0.72268 |
| states | 0.342543 |
| Prevention | 0.374829 |
| number | 0.33512 |
| Disease Control | 0.751458 |
| S.W. | 0.334479 |
| Atlanta | 0.338166 |
| Environmental Hazards | 0.559417 |
| studies | 0.335081 |
| specific criteria | 0.521908 |
| magnitude | 0.351379 |
| Division | 0.339381 |
| internal validity | 0.55155 |
| Healthy People | 0.525652 |
| sample size | 0.509971 |
| external validity | 0.547741 |
|
| guide | 0.378573 |
| National Center | 0.547045 |
| Environmental Health | 0.57516 |
| set | 0.335445 |
| Federal Government Web | 0.699166 |
| Independence Avenue | 0.518799 |
| publication type | 0.518182 |
| meaningfulness | 0.374512 |
| health tracking program | 0.805768 |
| Internet]. | 0.541524 |
| http://www.cdc.gov/nceh/tracking/pdfs/how_to_guide.pdf | 0.339752 |
| subject matter | 0.526116 |
| site | 0.334794 |
| publication status | 0.518538 |
| guidance | 0.338112 |
| potential biases | 0.539312 |
| Jan | 0.337453 |
| potential confounders | 0.508094 |
| Health Tracking Network | 0.763388 |
| additional effect | 0.586066 |
| effect size | 0.586408 |
| experts | 0.336309 |
| Health Effects | 0.566098 |
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CLICK HERE |
| 14787 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Reducing Alcohol-Impaired Driving: School-Based Programs—Effectiveness of multicomponent programs with community mobilization for reducing alcohol-impaired driving. (Community Guide Recommendation) |
null |
| Elder RW | 0.451592 |
| social norming campaigns | 0.641253 |
| Sleet DA | 0.470907 |
| Task Force | 0.430445 |
| classification scheme | 0.416669 |
| statistical significance | 0.414335 |
| evidence-based resources | 0.641016 |
| Systematic Review | 0.430354 |
| Drinking Drivers | 0.434484 |
| Human Services | 0.412817 |
| peer organizations | 0.440993 |
| U.S. Department | 0.416353 |
| Prev Med | 0.469975 |
| alcohol-related crashes | 0.495321 |
| studies | 0.272346 |
| insufficient evidence | 0.782596 |
| specific criteria | 0.410487 |
| magnitude | 0.248998 |
| school-based programs | 0.736967 |
| internal validity | 0.445095 |
| Healthy People | 0.413934 |
| sample size | 0.410798 |
| external validity | 0.440186 |
| alcohol-impaired drivers | 0.711251 |
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| effectiveness | 0.296145 |
| Shults RA | 0.476942 |
| Jun | 0.245474 |
| Feb | 0.242664 |
| alcohol-impaired driving | 0.945929 |
| Compton | 0.250413 |
| publication type | 0.407503 |
| School-based instructional programs | 0.825458 |
| meaningfulness | 0.269735 |
| Barrios LC | 0.466621 |
| quality | 0.235384 |
| subject matter | 0.414324 |
| Nichols JL | 0.464657 |
| publication status | 0.407805 |
| potential biases | 0.435642 |
| potential confounders | 0.409118 |
| Community Preventive Services | 0.629478 |
| additional effect | 0.472363 |
| Internet | 0.236659 |
| effect size | 0.471225 |
| small number | 0.438705 |
| experts | 0.235297 |
| 5S | 0.260649 |
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CLICK HERE |
| 14832 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Recommendations to Improve Targeted Vaccination Coverage among High-Risk Adults. (Community Guide Recommendation) |
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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 |
|
| 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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| 14838 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Universally Recommended Vaccinations: Vaccination Requirements for Child Care, School and College Attendance. (Community Guide Recommendation) |
null |
| classification scheme | 0.458308 |
| statistical significance | 0.454967 |
| evidence-based resources | 0.73437 |
| decrease rates | 0.523866 |
| vaccinations | 0.261384 |
| vaccination requirements | 0.904316 |
| vaccine-preventable disease | 0.868124 |
| Force | 0.248818 |
| purpose | 0.243401 |
| Human Services | 0.45423 |
| policies | 0.244721 |
| immunity | 0.267828 |
| U.S. Department | 0.459059 |
| child care | 0.747693 |
| school | 0.289717 |
| specific criteria | 0.453417 |
| magnitude | 0.263095 |
| vaccination rates | 0.872092 |
| internal validity | 0.498841 |
| Healthy People | 0.460213 |
| morbidity | 0.383466 |
| sample size | 0.445769 |
|
| Preventive Services Task | 0.764848 |
| external validity | 0.496277 |
| laws | 0.244773 |
| set | 0.240498 |
| publication type | 0.445253 |
| documentation | 0.244591 |
| meaningfulness | 0.290443 |
| control | 0.240466 |
| quality | 0.241078 |
| subject matter | 0.460564 |
| condition | 0.244461 |
| publication status | 0.445705 |
| potential biases | 0.482201 |
| potential confounders | 0.443279 |
| mortality | 0.3533 |
| additional effect | 0.541361 |
| college attendance | 0.784149 |
| effect size | 0.540389 |
| incidence | 0.256209 |
| experts | 0.241849 |
| Community | 0.248929 |
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| 14892 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Interventions to Reduce Depression Among Older Adults: Home-Based Depression Care Management |
null |
| 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 |
|
CLICK HERE |
| 15004 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Self-Management Education: The Chronic Disease Self-Management Program |
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| evidence-based resources | 0.538557 |
| Human Services | 0.381924 |
| Self-Management Program | 0.689111 |
| U.S. Department | 0.382202 |
| medications | 0.279229 |
| specific criteria | 0.385406 |
| self-management education program | 0.731048 |
| sample size | 0.381163 |
| external validity | 0.39431 |
| household activities | 0.388789 |
| health professionals | 0.579961 |
| non-health professionals | 0.398181 |
| frustration | 0.240655 |
| friends | 0.269954 |
| chronic health problems | 0.696762 |
| subject matter | 0.377999 |
| nutrition | 0.269833 |
| chronic illnesses | 0.541425 |
| chronic disease | 0.983184 |
| Arthritis Self-Management Program | 0.682738 |
| multiple modes | 0.385717 |
| techniques | 0.270409 |
| potential confounders | 0.380253 |
| Chronic Disease Self-Management | 0.838381 |
|
| effect size | 0.41272 |
| trained leaders | 0.395752 |
| classification scheme | 0.382656 |
| statistical significance | 0.381235 |
| significant improvements | 0.388408 |
| arthritis-specific self-management intervention | 0.659632 |
| variety | 0.272273 |
| heart disease | 0.414327 |
| CDSMP workshops | 0.406787 |
| internal validity | 0.400477 |
| ability | 0.261872 |
| professional organizations | 0.426766 |
| Healthy People | 0.374634 |
| Stanford University | 0.398688 |
| new treatments | 0.605435 |
| chronic diseases | 0.511206 |
| publication type | 0.38536 |
| meaningfulness | 0.252771 |
| self-management education | 0.757924 |
| appropriate exercise | 0.628955 |
| community settings | 0.397898 |
| publication status | 0.385532 |
| potential biases | 0.396581 |
| additional effect | 0.414739 |
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CLICK HERE |
| 15128 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Healthy People 2020 At Work in the Community: Autism Spectrum Quotient Screening Access |
In this story from the field, we take a look at how the Minnesota Academy of Pediatrics Foundation engaged the Somali immigrant community to provide increased access to early childhood developmental screenings. |
| health education | 0.602546 |
| Disease Prevention | 0.611304 |
| public health issues | 0.6107 |
| pediatric health care | 0.611781 |
| behavioral screenings | 0.583342 |
| American Academy | 0.60866 |
| Ms. Katherine Cairns | 0.586107 |
| Community Innovations Project | 0.636181 |
| Health Promotion | 0.627797 |
| educational screening tools | 0.686433 |
| St. Cloud | 0.897596 |
| Somali parents | 0.993375 |
| Somali people | 0.780526 |
| current quality improvement | 0.585795 |
| Somali community | 0.832298 |
| rural St. Cloud | 0.623932 |
| health care services | 0.61077 |
| ASQ screening | 0.905186 |
| MAPF | 0.600454 |
| pediatric healthcare providers | 0.575661 |
| waiting rooms | 0.593393 |
| Autism Spectrum Quotient | 0.605143 |
| Somalis | 0.618784 |
| autism screening | 0.621446 |
| Minnesota Chapter-American Academy | 0.599252 |
|
| community meetings | 0.588987 |
| Somali children | 0.891029 |
| developmental screening | 0.804204 |
| Katherine Cairns | 0.614981 |
| Somali families | 0.723053 |
| preventive health | 0.624866 |
| Ms. Cairns | 0.588265 |
| Minnesota clinics | 0.612611 |
| preventive pediatric services | 0.594866 |
| state health department | 0.639502 |
| focus groups | 0.694637 |
| medical homes | 0.686587 |
| Cloud Area Somali | 0.79285 |
| ASQ software program | 0.817669 |
| Somali language | 0.788113 |
| health | 0.690867 |
| Minnesota | 0.664109 |
| new ASQ screening | 0.746334 |
| child health | 0.582459 |
| Executive Director | 0.614138 |
| earlier developmental screening | 0.744372 |
| St. Cloud State | 0.612545 |
| Minnesota Chapter | 0.6222 |
| Somali men | 0.689041 |
|
CLICK HERE |