| 2421 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Increasing Tobacco Use Cessation: Quitline Interventions. (Community Guide Recommendation) |
Back to EBR Search. |
| Task Force | 0.661711 |
| classification scheme | 0.618966 |
| statistical significance | 0.616652 |
| evidence-based resources | 0.818446 |
| cessation specialist schedules | 0.913082 |
| specific populations | 0.629613 |
| Human Services | 0.615289 |
| cessation specialists | 0.752952 |
| U.S. Department | 0.619026 |
| proactive quitlines | 0.70107 |
| tobacco cessation | 0.84158 |
| individual clients | 0.62648 |
| specific criteria | 0.609753 |
| magnitude | 0.449489 |
| tobacco users | 0.692925 |
| internal validity | 0.647379 |
| quitline interventions | 0.670095 |
| Healthy People | 0.616568 |
| sample size | 0.61297 |
| external validity | 0.642463 |
| quitting | 0.452789 |
| initial contact | 0.626118 |
| sessions | 0.439063 |
|
| cost | 0.438222 |
| evidence-based behavioral counseling | 0.915639 |
| publication type | 0.609749 |
| meaningfulness | 0.470285 |
| telephone | 0.440071 |
| control | 0.435426 |
| Quitline counseling | 0.641786 |
| quality | 0.435836 |
| standardized protocols | 0.647995 |
| subject matter | 0.616978 |
| follow-up counseling | 0.705013 |
| recent quitter | 0.653737 |
| publication status | 0.610047 |
| calls | 0.44504 |
| potential biases | 0.637918 |
| Content | 0.437715 |
| potential confounders | 0.611319 |
| Community Preventive Services | 0.888671 |
| additional effect | 0.674486 |
| effect size | 0.673107 |
| support | 0.439947 |
| experts | 0.435806 |
| contacts | 0.436856 |
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| 2546 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Reducing Violent Crime and Invigorating Communities Through Greening Vacant Lots |
In this Who's Leading the Leading Health Indicators? story, we looked at the relationship between vacant, overgrown lots and neighborhood crime in Philadelphia. |
| permissible environment | 0.498396 |
| endorsement | 0.252264 |
| data | 0.244728 |
| recent study1 | 0.454031 |
| resident health | 0.662383 |
| Human Services | 0.426332 |
| high visual impact | 0.696193 |
| recommendation | 0.242466 |
| areas | 0.247889 |
| trees | 0.247675 |
| U.S. Department | 0.420205 |
| time period | 0.450649 |
| Philadelphia LandCare Program | 0.977845 |
| gun assaults | 0.46439 |
| neighborhood economies | 0.493344 |
| U.S. Government | 0.420541 |
| well-being | 0.245362 |
| researchers | 0.244697 |
| web site | 0.422474 |
| Epidemiol. | 0.274852 |
| Disclaimer | 0.253061 |
| difference-in-differences analysis | 0.602774 |
| trash | 0.250684 |
| Pennsylvania | 0.244619 |
| quality | 0.242463 |
|
| Nov | 0.294983 |
| University | 0.24465 |
| spaces | 0.244482 |
| neighborhood livability | 0.46886 |
| Epub | 0.334216 |
| residents | 0.242799 |
| doi | 0.314 |
| square feet | 0.43901 |
| city | 0.242616 |
| low wooden fence | 0.695338 |
| PLP | 0.541247 |
| Cheney RA | 0.71128 |
| crime | 0.295117 |
| MacDonald JM | 0.700711 |
| public health | 0.672216 |
| program effectiveness | 0.44899 |
| Dec | 0.29015 |
| select sections | 0.446143 |
| greens | 0.248095 |
| safety concerns | 0.467672 |
| 1Branas CC | 0.452346 |
| Branas CC | 0.441816 |
| specific product | 0.428756 |
| et al | 0.65641 |
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| 14659 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Behavioral Counseling in Primary Care To Promote a Healthy Diet: Recommendations and Rationale |
null |
| Task Force | 0.670433 |
| classification scheme | 0.626922 |
| statistical significance | 0.623874 |
| hyperlipidemia | 0.486862 |
| U.S. Preventive Services | 0.919596 |
| evidence-based resources | 0.89676 |
| nutritionists | 0.468451 |
| Human Services | 0.825142 |
| Washington | 0.434687 |
| U.S. Department | 0.826453 |
| number | 0.436081 |
| S.W. | 0.434732 |
| adult patients | 0.668701 |
| dietitians | 0.460231 |
| studies | 0.436038 |
| specific criteria | 0.634286 |
| magnitude | 0.456875 |
| internal validity | 0.670867 |
| Healthy People | 0.639996 |
| sample size | 0.618499 |
| external validity | 0.668393 |
|
| risk factors | 0.664848 |
| set | 0.436454 |
| Federal Government Web | 0.812113 |
| publication type | 0.629355 |
| Independence Avenue | 0.628617 |
| meaningfulness | 0.483832 |
| specialists | 0.438778 |
| primary care clinicians | 0.869683 |
| quality | 0.435147 |
| subject matter | 0.640552 |
| site | 0.435088 |
| referral | 0.438124 |
| publication status | 0.629772 |
| potential biases | 0.654609 |
| behavioral dietary counseling | 0.908376 |
| potential confounders | 0.616313 |
| diet-related chronic disease | 0.944518 |
| additional effect | 0.715662 |
| Intensive counseling | 0.675696 |
| effect size | 0.717701 |
| experts | 0.437652 |
|
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| 14664 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Preventing Childhood Obesity: Health in the Balance |
null |
| classification scheme | 0.646656 |
| statistical significance | 0.643143 |
| evidence-based resources | 0.914105 |
| prevention-focused action plan | 0.929054 |
| United States | 0.684778 |
| document | 0.445176 |
| Human Services | 0.645381 |
| industry | 0.441476 |
| media | 0.441424 |
| U.S. Department | 0.646177 |
| Recommendations | 0.438612 |
| prevalence | 0.470591 |
| Actions steps | 0.670877 |
| children | 0.444815 |
| federal government | 0.664546 |
| specific criteria | 0.642283 |
| magnitude | 0.463253 |
| internal validity | 0.695255 |
| Healthy People | 0.648722 |
| local governments | 0.668574 |
| sample size | 0.634927 |
| external validity | 0.693848 |
|
| obesity | 0.459704 |
| health care professionals | 0.882381 |
| set | 0.437449 |
| publication type | 0.63502 |
| meaningfulness | 0.492943 |
| control | 0.437318 |
| local education authorities | 0.890124 |
| community | 0.441139 |
| families | 0.440725 |
| quality | 0.437928 |
| best available evidence | 0.870489 |
| non-profit organizations | 0.661577 |
| subject matter | 0.649198 |
| publication status | 0.635487 |
| schools | 0.440854 |
| potential biases | 0.675881 |
| potential confounders | 0.632352 |
| additional effect | 0.746339 |
| effect size | 0.748254 |
| experts | 0.438744 |
| dimensions | 0.445099 |
|
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| 14709 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
National HIV/AIDS Strategy for the United States. |
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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| 14905 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Promoting oral health: interventions for preventing dental caries, oral and pharyngeal cancers, and sports-related craniofacial injuries: A Report on Recommendations of the Task Force on Community Pre |
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 |
| 15101 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Vitamin D and Calcium to Prevent Fractures: Preventive Medication (Clinical Guide Recommendation) |
null |
| benefits | 0.344254 |
| classification scheme | 0.57085 |
| statistical significance | 0.567208 |
| evidence-based resources | 0.861345 |
| Force | 0.350179 |
| Human Services | 0.564943 |
| recommendation | 0.365496 |
| daily supplementation | 0.648915 |
| U.S. Department | 0.565759 |
| USPSTF | 0.572687 |
| primary prevention | 0.609973 |
| harms | 0.375427 |
| specific criteria | 0.565827 |
| magnitude | 0.368882 |
| mg | 0.36561 |
| internal validity | 0.619111 |
| Healthy People | 0.572818 |
| sample size | 0.555846 |
| Preventive Services Task | 0.893452 |
| external validity | 0.618161 |
|
| fractures | 0.377318 |
| calcium | 0.368898 |
| set | 0.34169 |
| publication type | 0.555486 |
| noninstitutionalized postmenopausal women | 0.917086 |
| certainty | 0.380737 |
| meaningfulness | 0.399505 |
| control | 0.341625 |
| IU | 0.387955 |
| quality | 0.342269 |
| subject matter | 0.573288 |
| net benefit | 0.57733 |
| publication status | 0.555967 |
| potential biases | 0.59863 |
| vitamin D3 | 0.653456 |
| potential confounders | 0.553194 |
| additional effect | 0.670165 |
| effect size | 0.669688 |
| experts | 0.343094 |
|
CLICK HERE |
| 15110 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Advocacy, Education, and Policy Development: A Collaborative Approach To Combating Childhood Obesity |
In this Who's Leading the Leading Health Indicators? story, we looked at how the San Diego County Childhood Obesity Initiative worked to reduce childhood obesity by creating healthy environments for all children and families through advocacy, education, and policy development efforts. |
| community stakeholders | 0.273065 |
| Youth Engagement | 0.26256 |
| affordable meal choices | 0.29908 |
| Childhood Obesity Initiative | 0.726259 |
| San Diego County | 0.930287 |
| local media outlets | 0.300181 |
| county childhood obesity | 0.838477 |
| community environment | 0.265141 |
| female-only physical activity | 0.309432 |
| Disease Control | 0.312777 |
| children | 0.270147 |
| community schools | 0.266146 |
| healthy food | 0.271116 |
| California Center | 0.255662 |
| Recommended community strategies | 0.304725 |
| Prevent Obesity | 0.33868 |
| Health Policy Research | 0.312364 |
| young Muslim females | 0.298466 |
| body mass index | 0.310783 |
| healthy eating | 0.271545 |
| diego county childhood | 0.769772 |
| governmental agencies | 0.258965 |
| efforts focus | 0.257514 |
| community health | 0.26745 |
| fast food restaurants | 0.305162 |
|
| public-private partnership | 0.258451 |
| healthy foods | 0.276275 |
| action plan | 0.307564 |
| Public Health Advocacy | 0.309446 |
| implement physical activity | 0.314598 |
| fast food | 0.313429 |
| safe walking routes | 0.300093 |
| environmental changes | 0.262414 |
| innovative program | 0.259453 |
| health-supporting characteristics | 0.259154 |
| policy development | 0.381053 |
| neighborhood characteristics | 0.257069 |
| environmental change.1 COI | 0.372414 |
| clinical outcomes | 0.26012 |
| unhealthful products | 0.262794 |
| private institutions | 0.2613 |
| public safety | 0.257608 |
| childhood obesity action | 0.393981 |
| youth participants | 0.309345 |
| community organizations | 0.269666 |
| franchise owners | 0.257631 |
| local fast food | 0.305476 |
| physical activity | 0.461193 |
| healthy environments | 0.390439 |
|
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| 15204 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Sleep Health |
null |
| obstructive sleep apnea | 0.963265 |
| Federal Government Web | 0.773591 |
| Health | 0.435513 |
| Independence Avenue | 0.615058 |
| adults | 0.435965 |
| Human Services | 0.60267 |
| students | 0.43764 |
| grades | 0.440597 |
| Baseline | 0.761262 |
| vehicular crashes | 0.663551 |
| percent | 0.625321 |
|
| U.S. Department | 0.603516 |
| miles | 0.4392 |
| symptoms | 0.442558 |
| sufficient sleep | 0.918322 |
| persons | 0.442623 |
| medical evaluation | 0.642176 |
| site | 0.435721 |
| 24-hour period | 0.610602 |
| standard population | 0.643454 |
| S.W. | 0.435247 |
|
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| 15228 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Medical Product Safety |
null |
| Target-Setting Method | 0.709595 |
| decade | 0.471373 |
| data source | 0.833424 |
| Human Services | 0.449774 |
| FDA Drug Registration | 0.512527 |
| Adverse Drug Event | 0.630817 |
| objective | 0.531461 |
| U.S. Department | 0.449816 |
| Intercontinental Marketing Services | 0.50499 |
| Drug Event Surveillance | 0.624467 |
| oral anticoagulants | 0.452902 |
| synthetic opioids | 0.522591 |
| outpatient prescription | 0.500444 |
| untreated pain | 0.462086 |
| overdose deaths | 0.582436 |
| Event Surveillance Project | 0.629962 |
| National Electronic Injury | 0.620729 |
| Electronic Injury Surveillance | 0.626883 |
| prescription sales | 0.458323 |
| Data Sources | 0.521716 |
| Federal Government Web | 0.49372 |
| Imaging tools | 0.452321 |
| Baseline | 0.550529 |
| National Hospital Ambulatory | 0.628276 |
|
| lack | 0.540565 |
| measure | 0.464457 |
| Details | 0.451548 |
| science | 0.451212 |
| predictive biomarkers | 0.499277 |
| viable data source | 0.70097 |
| non-FDA-approved pain medications | 0.503741 |
| Companion Diagnostic Devices | 0.49529 |
| changes | 0.451227 |
| Ambulatory Medical Care | 0.799191 |
| ED visits | 0.57946 |
| injectable antidiabetic agents | 0.493657 |
| Listing Database | 0.456668 |
| Electronic database | 0.454999 |
| Reduce emergency department | 0.49005 |
| nonsteroidal anti-inflammatory drugs | 0.507568 |
| drug overdose deaths | 0.503831 |
| informational purposes | 0.684149 |
| effective medical products | 0.567015 |
| semi-synthetic opioids | 0.47616 |
| System-Cooperative Adverse Drug | 0.630855 |
| Medical Care Survey | 0.786974 |
| revision history | 0.945684 |
| objectives | 0.452141 |
|
CLICK HERE |