| 4981 |
Centers for Disease Control and Prevention |
Html |
en |
Improving fruit and vegetable consumption: use of farm-to-consumer venues among US adults |
null |
| farm-to-consumer approaches | 0.473633 |
| FAB survey response | 0.476113 |
| mail survey | 0.515009 |
| farm-to-consumer venues | 0.827741 |
| population-level mail survey | 0.477382 |
| primary grocery shopper | 0.492956 |
| large-chain grocery stores | 0.53041 |
| community-supported agriculture programs | 0.609201 |
| food environments | 0.466701 |
| fab survey | 0.546369 |
| primary grocery | 0.543015 |
| Grocery shopping survey | 0.485276 |
| response rate | 0.464263 |
| public health surveys | 0.463422 |
| new store development | 0.473028 |
| small local stores | 0.462381 |
| respondents | 0.482243 |
| markets | 0.485276 |
| FAB Survey sample | 0.484303 |
| healthful dietary choices | 0.464473 |
| dietary choices | 0.472608 |
| potential respondents | 0.461914 |
| disproportionally higher prevalences | 0.466675 |
| Food Attitudes | 0.477402 |
|
| community-supported agriculture program | 0.476494 |
| roadside stands | 0.50368 |
| pick-your-own produce farms | 0.609845 |
| farmers | 0.51583 |
| vegetables | 0.496248 |
| institutional review board | 0.463792 |
| pick-your-own produce farm | 0.474176 |
| fruits | 0.496182 |
| future public health | 0.462602 |
| non-Hispanic blacks | 0.479628 |
| high school degree | 0.527514 |
| National Cancer Institute | 0.656399 |
| Institute’s Food | 0.478108 |
| shopping venues | 0.487058 |
| public health | 0.496854 |
| food environment | 0.479761 |
| primary food shopper | 0.558882 |
| annual household income | 0.962673 |
| food environments increase | 0.463239 |
| cross-sectional data | 0.472976 |
| Synovate Global Opinion | 0.467531 |
| stratified random sampling | 0.461475 |
| primary shopper characteristics | 0.475314 |
| healthier dietary choices | 0.467817 |
|
CLICK HERE |
| 5691 |
Centers for Disease Control and Prevention |
Html |
en |
Drowning Risks in Natural Water Settings | CDC Features |
Drowning is the second leading cause of unintentional injury death for children ages 1 to 14 years, and the fifth leading cause for people of all ages. Learn how to reduce your risk. |
| uneven lake | 0.30559 |
| rip current pulls | 0.447369 |
| Learn boating safety | 0.449839 |
| unexpected hazardous weather | 0.384238 |
| safety course | 0.304437 |
| young children | 0.311729 |
| formal swimming lessons | 0.532712 |
| life jacket.2 Operator | 0.395285 |
| water wings | 0.338051 |
| strongest swimmer | 0.307257 |
| rip currents | 0.646907 |
| unintentional injury death | 0.422522 |
| Drownings Fact Sheet | 0.443694 |
| age groups | 0.325821 |
| swimming pools | 0.321762 |
| natural water sites | 0.438103 |
| population groups | 0.310387 |
| highest risk | 0.316388 |
| safety tips | 0.312783 |
| Recreational Boating Statistics | 0.434609 |
| water skiing | 0.335521 |
| Coast Guard Office | 0.376658 |
| special precautions | 0.301907 |
| natural water settings | 0.958342 |
|
| United States | 0.411876 |
| similar risk | 0.320021 |
| recreational water drownings | 0.542497 |
| U.S. coastlines | 0.310664 |
| distracting activity | 0.305799 |
| surf beach lifeguards | 0.41502 |
| United States Coast | 0.397557 |
| Heed warning flags | 0.374956 |
| Web-based Injury Statistics | 0.373704 |
| boating incident | 0.367448 |
| States Lifesaving Association | 0.389425 |
| Coast Guard-approved life | 0.39292 |
| responsible adult | 0.302758 |
| substantially increased risk | 0.419594 |
| life jackets | 0.466854 |
| CPR skills | 0.302097 |
| personal flotation devices | 0.378342 |
| deeper water | 0.351627 |
| swimmers | 0.322563 |
| natural body | 0.332893 |
| Cardiopulmonary Resuscitation | 0.306972 |
| U.S. Coast Guard | 0.498404 |
| ages | 0.328892 |
| select swimming sites | 0.397892 |
|
CLICK HERE |
| 5785 |
Centers for Disease Control and Prevention |
Html |
en |
Lithium hydride - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
CLICK HERE |
| 6468 |
Centers for Disease Control and Prevention |
Html |
en |
Strategies for piloting a breast health promotion program in the Chinese-Australian population |
In Australia, women from non–English-speaking backgrounds participate less frequently in breast cancer screening than English-speaking women, and Chinese immigrant women are 50% less likely to participate in breast examinations than Australian-born women. |
| breast health practices | 0.613488 |
| Breast Awareness | 0.583208 |
| Chinese community organizations | 0.580438 |
| breast surgery | 0.58081 |
| breast screening participation | 0.599321 |
| breast health messages | 0.663729 |
| breast examination | 0.588001 |
| culturally sensitive health | 0.573588 |
| traditional Chinese philosophies | 0.580072 |
| breast health | 0.825841 |
| breast examinations | 0.607315 |
| different breast sizes | 0.591796 |
| breast screening | 0.640176 |
| breast cancer prevention | 0.638204 |
| pilot breast health | 0.637734 |
| Chinese immigrant women | 0.665209 |
| Health Educ Behav | 0.595599 |
| breast screening practices | 0.60232 |
| breast health education | 0.611261 |
| 2-hour follow-up session | 0.581853 |
| breast cancer. | 0.577716 |
| health promotion messages | 0.571542 |
| breast lump | 0.580313 |
| Chinese immigrant population | 0.590789 |
| appropriate breast health | 0.629435 |
|
| Cantonese-speaking Chinese-Australian women | 0.572872 |
| Chinese-Australian women | 0.64587 |
| Chinese women | 0.613239 |
| culturally appropriate breast | 0.623592 |
| breast health advocates | 0.657627 |
| model breast | 0.588006 |
| breast cancer study | 0.61121 |
| appropriate breast cancer | 0.631829 |
| breast health message | 0.647172 |
| breast cancer experiences | 0.621588 |
| breast health articles | 0.635705 |
| health promotion program | 0.608742 |
| breast cancer program | 0.647963 |
| health promotion programs | 0.634529 |
| breast cancer screening | 0.719038 |
| breast cancer-related behaviors | 0.584372 |
| cancer screening services | 0.575307 |
| breast cancer | 0.941943 |
| Chinese-Australian immigrant women | 0.581608 |
| culturally appropriate health | 0.572523 |
| National Breast Cancer | 0.611934 |
| breast cancer cases | 0.620781 |
| breast health promotion | 0.675022 |
| 1-day educational program | 0.585257 |
|
CLICK HERE |
| 8803 |
Centers for Disease Control and Prevention |
Html |
en |
Naegleria fowleri - Treatment |
Information about the treatment of Naegleria fowleri. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| experimental meningoencephalitis | 0.575232 |
| Antimicrob Agents Chemother. | 0.580473 |
| free-living ameba infections | 0.63747 |
| U.S. PAM survivor | 0.620525 |
| shipping instructions | 0.55381 |
| CDC Emergency Operations | 0.793014 |
| investigational breast cancer | 0.591426 |
| Medical Professionals | 0.553525 |
| da Silva AJ | 0.577456 |
| primary amoebic meningoencephalitis | 0.626671 |
| Clin Infect Dis | 0.587728 |
| fatal infections | 0.552984 |
| normal body temperature | 0.663119 |
| therapeutic agent miltefosine | 0.594245 |
| specimen collection guidance | 0.593894 |
| F. Successful treatment | 0.591411 |
| Naegleria fowleri infection | 0.84376 |
| Emergency Operations Center | 0.781509 |
| Clin Infect Dis. | 0.587484 |
| E. Successful treatment | 0.589552 |
| Visvesvara GS | 0.752891 |
| investigational drug miltefosine | 0.611117 |
| opportunistic free-living amoebae | 0.616648 |
| FEMS Immunol Med | 0.584492 |
| amoebic infection | 0.563946 |
|
| Acanthamoeba spp. | 0.597088 |
| Public Health | 0.553544 |
| primary amebic meningoencephalitis | 0.800118 |
| United States | 0.638331 |
| original U.S. survivor | 0.68953 |
| neurologic recovery | 0.59402 |
| CDC expert | 0.610546 |
| treatment recommendations | 0.562438 |
| Naegleria fowleri | 0.949809 |
| Schuster FL | 0.58986 |
| Arch Med Res. | 0.580714 |
| 12-year-old girl | 0.555729 |
| therapeutic chemical agents | 0.580973 |
| Acanthamoeba infection | 0.576344 |
| mammalian cell cultures | 0.575263 |
| Clin Infect | 0.593695 |
| Naegleria PAM | 0.641357 |
| free-living amebae | 0.583292 |
| Successful treatment | 0.617108 |
| Balamuthia mandrillaris | 0.584967 |
| Naegleria survivor | 0.652612 |
| J. Successful treatment | 0.59044 |
| free-living amebas | 0.574986 |
| diagnostic assistance | 0.553855 |
|
CLICK HERE |
| 9250 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0349 |
Volumen 10 — el 08 de agosto de 2013. |
|
|
CLICK HERE |
| 9975 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Places - Transportation and Health Resources - Selected Peer-Reviewed Articles |
Healthy Places - Transportation and Health - Resources - Selected Peer-Reviewed Articles |
| Motor Vehicle Traffic | 0.644336 |
| Highway Traffic Safety | 0.885819 |
| environmental health | 0.738218 |
| Public Health Education | 0.728456 |
| Motor vehicle crash | 0.769304 |
| Public Health. | 0.739622 |
| praeger handbook | 0.698222 |
| Gotschi T. Costs | 0.629721 |
| World Health Organization | 0.995174 |
| Health Promot. | 0.631746 |
| National Highway Traffic | 0.884417 |
| health care costs | 0.66728 |
| public health objectives | 0.783359 |
| light rail transit | 0.726064 |
| Lock K. Cycling | 0.634909 |
| Naumann RB | 0.650611 |
| Sleet DA | 0.680402 |
| State Highway Safety | 0.671133 |
| road user type | 0.629681 |
| United States | 0.750664 |
| Environmental Public Health | 0.708396 |
| A. Physical activity | 0.641458 |
| road safety | 0.658737 |
| motor vehicle | 0.78604 |
| Frank L. Obesity | 0.638669 |
|
| Active Design Supplement | 0.631903 |
| National pedestrian crash | 0.642718 |
| vehicle crash deaths | 0.64295 |
| Traffic Safety Administration | 0.887335 |
| public health | 0.909682 |
| highway safety countermeasures | 0.674126 |
| Barringer J. Health | 0.679528 |
| vehicle crash injury | 0.660969 |
| Transport Policy Institute | 0.636549 |
| systematic review | 0.639606 |
| Santa Barbara | 0.70775 |
| Dannenberg AL | 0.702961 |
| Prev Med. | 0.688354 |
| physical activity | 0.884805 |
| vehicle traffic-related pedestrian | 0.63602 |
| public transport use—a | 0.65823 |
| Traffic Inj Prev | 0.682875 |
| URL http://apps.who.int/iris/bitstre am/10665/79753/1/9789241505352_eng.pdf | 0.640114 |
| Beck LF | 0.822037 |
| Phys Act Health. | 0.776681 |
| Health Matters | 0.632705 |
| A. Traffic Injury | 0.638623 |
| Community Preventive Services | 0.629486 |
| URL http://www.who.int/ violence_injury_prevention/road_safety_status/2013/en/index.html | 0.641337 |
|
CLICK HERE |
| 10665 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Cardiovascular Disease Risk Among the Mexican American Population in the Texas-Mexico Border Region, by Age and Length of Residence in United States - CDC |
Although the relationship between health behaviors and outcomes such as smoking and obesity with longer residence in the United States among Mexican American immigrants is established, the relationship between length of residency in the United States and risk for cardiovascular disease (CVD) is not fully understood. The objective of this study was to determine the relationship between immigrant status, length of residence in the United States, age, and CVD markers in a sample of Mexican American adults living in Brownsville, Texas. |
| worse CVD risk | 0.512246 |
| higher prevalence | 0.56979 |
| young adult | 0.542057 |
| systolic blood pressure | 0.546141 |
| total cholesterol | 0.491769 |
| Texas–Mexico border region | 0.569587 |
| Texas Health Science | 0.5072 |
| US-born Mexican Americans | 0.560923 |
| high cholesterol | 0.52689 |
| diastolic blood pressure | 0.546194 |
| CVD risk | 0.535153 |
| CVD biological risk | 0.51442 |
| residence | 0.558385 |
| self-reported CVD events | 0.522632 |
| health behaviors | 0.551964 |
| blood pressure | 0.667923 |
| immigrant status | 0.589396 |
| Mexican Americans | 0.671234 |
| longer residence | 0.505775 |
| age groups | 0.506981 |
| CVD | 0.608116 |
| older age | 0.547781 |
| low socioeconomic status | 0.49768 |
| Mexican American adults | 0.570923 |
|
| study | 0.525208 |
| Public Health | 0.493789 |
| United States | 0.958391 |
| age group | 0.542454 |
| self-reported high blood | 0.495629 |
| low-density lipoprotein cholesterol | 0.492743 |
| CVD biomarker | 0.547002 |
| short-term immigrants | 0.623084 |
| Mexican American men | 0.499542 |
| risk factor profiles | 0.49325 |
| self-reported conditions | 0.543832 |
| CVD markers | 0.541781 |
| non-Hispanic whites | 0.498778 |
| long-term immigrants | 0.591634 |
| self-reported chronic conditions | 0.554299 |
| young adult group | 0.497732 |
| CVD biomarker profiles | 0.508583 |
| CVD biomarkers | 0.569617 |
| immigrant Mexican Americans | 0.498605 |
| Mexican American immigrants | 0.666452 |
| Hispanic immigrants | 0.521818 |
| Health Science Center | 0.506396 |
| high blood pressure | 0.526092 |
| socioeconomic status | 0.576248 |
|
CLICK HERE |
| 11422 |
Centers for Disease Control and Prevention |
Html |
null |
Banners | Campaign Materials | We Can Stop HIV One Conversation at a Time | Campaigns | Act Against AIDS |
Promotional digital banners of One Conversation at a Time, CDC’s first national effort to encourage Hispanic/Latino families, friends, and communities to talk openly about HIV |
|
|
CLICK HERE |
| 15796 |
Centers for Disease Control and Prevention |
Html |
en |
Chronic Disease Disparities by County Economic Status andMetropolitan Classification, Behavioral Risk Factor SurveillanceSystem, 2013 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| capita market income | 0.565374 |
| data | 0.400523 |
| public health interventions | 0.5137 |
| health insurance | 0.460099 |
| prevalence ratio | 0.410688 |
| highest prevalence | 0.395175 |
| higher prevalence | 0.506589 |
| Risk Factor Surveillance | 0.401198 |
| health outcomes | 0.531609 |
| poorest counties | 0.49673 |
| self-rated health | 0.47259 |
| current cigarette smoking | 0.389912 |
| risk factors | 0.606058 |
| poor health outcomes | 0.472404 |
| gradient-related health outcomes | 0.394436 |
| health care services | 0.466509 |
| body mass index | 0.504107 |
| hypertension prevalence | 0.401407 |
| self-rated health status | 0.402031 |
| health status | 0.411017 |
| poor self-rated health | 0.417392 |
| respondents | 0.396111 |
| arthritis | 0.48954 |
| chronic disease | 0.62651 |
| counties | 0.660112 |
|
| Behavioral Risk Factor | 0.401263 |
| specific health outcomes | 0.440605 |
| poor counties | 0.596564 |
| prevalence ratios | 0.389779 |
| United States | 0.49311 |
| poor health | 0.858458 |
| social gradient | 0.403684 |
| prevalence | 0.559048 |
| health risk factors | 0.39087 |
| economic status | 0.980003 |
| county economic status | 0.960531 |
| multivariable logistic regression | 0.454836 |
| economic county group | 0.403928 |
| chronic diseases | 0.438446 |
| nonmetropolitan counties | 0.466549 |
| community-delivered public health | 0.414354 |
| metropolitan classification | 0.511074 |
| physical activity | 0.529025 |
| household income | 0.394376 |
| leisure-time physical activity | 0.397864 |
| contiguous United States | 0.388824 |
| affluent counties | 0.519571 |
| metropolitan counties | 0.436635 |
| chronic disease prevalence | 0.464313 |
|
CLICK HERE |