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Surveillance of obesity-related policies in multiple environments: the Missouri Obesity, Nutrition, and Activity Policy Database |
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| environments | 0.741961 |
| state policy progress | 0.573851 |
| obesity-related local policies | 0.640768 |
| key informants | 0.60952 |
| obesity policy | 0.573142 |
| MoNAP Policy Checklist | 0.568935 |
| school | 0.625299 |
| multiple environments | 0.672347 |
| local policy database | 0.577225 |
| obesity prevention | 0.576522 |
| Missouri obesity rates | 0.572457 |
| local environments | 0.572159 |
| Activity Policy Database | 0.609595 |
| missouri obesity | 0.608657 |
| obesity-related policy environment | 0.602017 |
| healthy eating | 0.636272 |
| health care environments | 0.585086 |
| Zealand Health Policy | 0.571763 |
| community | 0.589462 |
| nested cluster design | 0.581504 |
| counties | 0.5951 |
| school environment | 0.597187 |
| city | 0.573357 |
| obesity-related policy occurrence | 0.599697 |
| child care environments | 0.613749 |
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| child care | 0.675878 |
| chronic disease policy | 0.567435 |
| Missouri | 0.647844 |
| local policy surveillance | 0.573992 |
| health care | 0.842001 |
| public health | 0.57126 |
| policy | 0.754409 |
| health care systems | 0.593378 |
| key informant interviews | 0.61487 |
| city policies | 0.573121 |
| school environments | 0.570437 |
| high policy occurrence | 0.58446 |
| geographically representative baseline | 0.579939 |
| Missouri statewide obesity | 0.57983 |
| target environments | 0.644058 |
| stratified nested cluster | 0.583682 |
| low funding levels | 0.579122 |
| physical activity | 0.716241 |
| obesity-related policies | 0.971809 |
| obesity epidemic | 0.61211 |
| Missouri school children | 0.568296 |
| promising local policies | 0.582937 |
| obesity-related policy | 0.602319 |
| particularly influential policies | 0.575737 |
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Centers for Disease Control and Prevention |
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Preventing Lyme Disease |
Information on Lyme disease and tick removal. Provided by the U.S. Centers for Disease Control and Prevention. |
| Lyme disease | 0.97367 |
| tickborne infections | 0.840845 |
| best defense | 0.63861 |
| exposure | 0.426222 |
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| ticks | 0.461029 |
| Rocky Mountain | 0.68553 |
| fever | 0.425498 |
| family | 0.35262 |
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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012:11_0287 |
The objective of this study was to classify by comorbid conditions older American adults who have diabetes to identify those who are less likely to benefit from intensive glycemic control. |
| myocardial infarction | 0.402468 |
| latent class models | 0.378253 |
| latent class analysis | 0.479533 |
| new comorbid conditions | 0.438095 |
| Introduction
Older adults | 0.385538 |
| UK Prospective Diabetes | 0.415839 |
| undiagnosed diabetes | 0.379313 |
| congestive heart failure | 0.504482 |
| nationally representative sample | 0.373853 |
| 5-year death rates | 0.465234 |
| multiple comorbid conditions | 0.446897 |
| health care professionals | 0.383566 |
| diabetes onset | 0.371622 |
| Bayesian Information Criterion | 0.379385 |
| future geriatric diabetes | 0.387701 |
| Prospective Diabetes Study | 0.455996 |
| comorbid disease | 0.407109 |
| Akaike Information Criterion | 0.382058 |
| Kingdom Prospective Diabetes | 0.386066 |
| diabetes diagnosis | 0.380146 |
| Control Cardiovascular Risk | 0.389754 |
| community-dwelling older adults | 0.409714 |
| Diabetes Study Group | 0.410823 |
| kidney disease | 0.378223 |
|
| sample-size adjusted BIC | 0.381145 |
| comorbid conditions | 0.952377 |
| fewer comorbid conditions | 0.441331 |
| LCA class number | 0.374898 |
| comorbid illness | 0.393723 |
| intensive blood-glucose control | 0.392684 |
| postinterview questionnaire | 0.394233 |
| class | 0.537374 |
| Psychol Sci Soc | 0.416698 |
| health care | 0.392281 |
| cardiovascular disease | 0.456503 |
| Diabetes Care | 0.407854 |
| diabetes medications | 0.377576 |
| diabetes duration | 0.415266 |
| single comorbid condition | 0.416339 |
| Sci Soc Sci | 0.415446 |
| National Social Life | 0.430347 |
| health care visits | 0.380357 |
| intensive glycemic control | 0.894596 |
| older adults | 0.75935 |
| et al | 0.390832 |
| American Diabetes Association | 0.40531 |
| diabetes share patterns | 0.388326 |
| diabetes | 0.546844 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease SaludableOmaha: Development of a Youth Advocacy Initiative to Increase Community Readiness for Obesity Prevention, 2011- 2012 - CDC |
Childhood obesity rates in minority populations continue to rise despite leveling national trends. Although interventions that address social and environmental factors exist, processes that create demand for policy and environmental change within communities have not been identified. |
| South High | 0.419711 |
| Latino childhood obesity | 0.326474 |
| Nebraska Medical Center | 0.456868 |
| community readiness assessment | 0.307622 |
| Omaha community partner | 0.303017 |
| health-promoting community environments | 0.272853 |
| obesity prevention strategies | 0.300756 |
| Nebraska Latino community | 0.317624 |
| community health leaders | 0.265262 |
| community leaders | 0.402796 |
| youth advocacy program | 0.430523 |
| Omaha Latino community | 0.333384 |
| childhood obesity epidemic | 0.299906 |
| project | 0.284307 |
| obesity prevention programs | 0.309594 |
| potential community leaders | 0.271768 |
| community’s readiness | 0.301394 |
| community service activities | 0.242965 |
| population-level obesity prevalence | 0.273533 |
| obesity prevention decision | 0.262908 |
| South Omaha | 0.811044 |
| obesity prevention | 0.690342 |
| quantitative readiness score | 0.248567 |
| youth advocacy | 0.822561 |
|
| Latino health movement | 0.352183 |
| P. Community readiness | 0.304113 |
| public health | 0.304151 |
| childhood obesity prevention | 0.318467 |
| community readiness model | 0.466194 |
| advocacy program development | 0.279648 |
| community readiness | 0.612827 |
| south omaha community | 0.608589 |
| childhood obesity rates | 0.380266 |
| South High faculty | 0.250191 |
| readiness model training | 0.242556 |
| community | 0.762708 |
| community youth | 0.280334 |
| Omaha South High | 0.274882 |
| youth advocacy effort | 0.261128 |
| childhood obesity | 0.967306 |
| Omaha Community Care | 0.357031 |
| UNMC study personnel | 0.248512 |
| community leader interviewees | 0.244669 |
| Background
Childhood obesity | 0.31855 |
| Community Care Council | 0.307342 |
| childhood obesity program | 0.291065 |
| youth advocates | 0.31432 |
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Centers for Disease Control and Prevention |
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PanFlu Storybook - In Memorial, Samuel C. Bowen, M.D. |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| influenza | 0.44001 |
| nose | 0.438884 |
| Tazewell County | 0.585924 |
| list Skip | 0.780257 |
| Harry Lee Thompson | 0.676154 |
| distinction | 0.439893 |
| Chicago | 0.438824 |
| Irene Bowen Wendell | 0.881648 |
| page options Skip | 0.929852 |
| Doctor | 0.424401 |
| navigation Skip | 0.783126 |
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| flu | 0.435397 |
| Dr. Bowen | 0.757521 |
| Maiden Spring Homestead | 0.725069 |
| Virginia Medical College | 0.684312 |
| throat surgeon | 0.585859 |
| Samuel Cecil Bowen | 0.84961 |
| Storyteller | 0.439796 |
| ear | 0.434025 |
| Palmer House Hotel | 0.683986 |
| nephew | 0.442406 |
| Prominent eye | 0.574348 |
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Pago por desempeño en la salud poblacional: lecciones aprendidas en entornos de atención médica |
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| Asch DA | 0.935067 |
| Werner RM | 0.917416 |
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HAN Archive - 00342'Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.783568 |
| fungal illness | 0.548297 |
| symptomatic area | 0.580043 |
| epidural abscesses | 0.530664 |
| persistent baseline pain | 0.607169 |
| CDC’s HAN | 0.574668 |
| Health Alert Network | 0.804668 |
| subsequent patient outreach | 0.587943 |
| Contaminated Steroid Products | 0.579988 |
| fungal infection | 0.866703 |
| clinicians | 0.565545 |
| NECC steroid medications | 0.609218 |
| steroid injections | 0.528881 |
| patients | 0.950707 |
| paraspinal infections | 0.738348 |
| public health partners | 0.600321 |
| epidural abscess | 0.625993 |
| mild clinical presentation | 0.594703 |
| methylprednisolone acetate | 0.839868 |
| recent cases | 0.520453 |
| prior negative evaluation | 0.567333 |
| repeat MRI studies | 0.747531 |
| New England Compounding | 0.621299 |
| paraspinal injections | 0.543743 |
|
| new cases | 0.592604 |
| fungal meningitis | 0.649734 |
| prolonged incubation period | 0.778426 |
| CDC Health Alert | 0.698845 |
| baseline symptoms | 0.721221 |
| magnetic resonance imaging | 0.59687 |
| contaminated methylprednisolone acetate | 0.63323 |
| initially normal imaging | 0.58009 |
| abnormal MRI findings | 0.63938 |
| new reports | 0.52611 |
| predominant clinical syndrome | 0.600282 |
| enhances health decisions | 0.576161 |
| critical health issues | 0.581987 |
| mg/ml Injection | 0.674715 |
| paraspinal injection | 0.804972 |
| minimal symptoms | 0.527319 |
| local health departments | 0.595364 |
| fungal disease | 0.552842 |
| http://emergency.cdc.gov/HAN/han00338.asp), MRI testing | 0.642912 |
| fungal infections | 0.790975 |
| newly identified case-patients | 0.587419 |
| Parameningeal Infections Associated | 0.612744 |
| different patients | 0.550084 |
| baseline chronic pain | 0.765797 |
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Know the Signs and Symptoms of a Stroke Fact Sheet'Data & Statistics'DHDSP'CDC |
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| prevention activities | 0.497881 |
| previous stroke | 0.783411 |
| stroke cost | 0.758689 |
| brain cells | 0.510492 |
| permanent disability | 0.514469 |
| ethnic groups | 0.50453 |
| publication | 0.416583 |
| state health departments | 0.577202 |
| High blood pressure | 0.60495 |
| Geographic Disparities | 0.518583 |
| oxygen | 0.419234 |
| deaths | 0.419765 |
| ischemic type | 0.553722 |
| CDC supports— | 0.502852 |
| health professionals | 0.498544 |
| blood vessel bursts | 0.629959 |
| Americans | 0.415777 |
| heart attack increase | 0.599597 |
| cerebrovascular accident | 0.527882 |
| American Heart Association | 0.768229 |
| symptoms | 0.4167 |
| state maps | 0.499983 |
| chances | 0.422998 |
| tailor prevention policies | 0.585046 |
| county–level stroke death | 0.835708 |
|
| stroke networks | 0.795801 |
| programs | 0.416243 |
| 33 billion | 0.507337 |
| greatest burden | 0.502214 |
| United States | 0.764115 |
| hemorrhagic stroke | 0.827281 |
| largest U.S. | 0.500838 |
| United Sates | 0.525822 |
| smoking | 0.415878 |
| timely treatment | 0.504444 |
| extensive series | 0.501463 |
| ischemic stroke | 0.848573 |
| strokes | 0.425233 |
| advocacy strategies | 0.499043 |
| rates | 0.416487 |
| impairments | 0.423926 |
| stroke | 0.957739 |
| people | 0.434826 |
| blood supply | 0.522176 |
| partners | 0.416216 |
| Stroke Mortality | 0.739917 |
| risk | 0.416726 |
| information | 0.416315 |
| recurrent attacks | 0.516777 |
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US cancer survivors face significant economic burden | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Medical Expenditure Panel | 0.479427 |
| significant financial challenges | 0.443553 |
| Mortality Weekly Report | 0.48821 |
| survivors experienced limitations | 0.562988 |
| employment disability | 0.390333 |
| employment intervention programs | 0.448204 |
| number | 0.315769 |
| usual daily activities | 0.453177 |
| Disease Control | 0.400029 |
| visit www.healthcare.gov | 0.382552 |
| male cancer survivors | 0.607578 |
| reduced productivity | 0.434433 |
| annual medical costs | 0.775265 |
| young adult cancers | 0.448069 |
| work | 0.35415 |
| Americans | 0.329848 |
| cancer diagnosis | 0.491155 |
| medical services | 0.394094 |
| history | 0.330182 |
| financial challenges | 0.472088 |
| Affordable Care Act | 0.453944 |
| CDC’s Division | 0.410571 |
| cancer survivors | 0.939287 |
| person | 0.327798 |
| female cancer survivors | 0.733096 |
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| Centers | 0.317048 |
| treatment | 0.316805 |
| report support data | 0.448026 |
| Comprehensive health | 0.384858 |
| United States | 0.383894 |
| larger financial burden | 0.462938 |
| ill health | 0.391965 |
| percent | 0.386023 |
| productivity losses | 0.702542 |
| public health professionals | 0.474933 |
| Healthcare Research | 0.392441 |
| CDC’s efforts | 0.388413 |
| visit http://www.cdc.gov/cancer/survivorship/ | 0.380076 |
| health coverage | 0.388318 |
| Donatus U. Ekwueme | 0.48959 |
| senior health economist | 0.487471 |
| recent CDC study | 0.455326 |
| cancer survivorship | 0.411227 |
| families | 0.329831 |
| Morbidity | 0.321038 |
| significant economic burdens | 0.489808 |
| information | 0.325878 |
| Cancer Prevention | 0.427702 |
| preventive services | 0.383157 |
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Potential Partners for Comprehensive Cancer Control Coalitions |
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| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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