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Semenova, Olga; Naumova, Elizaveta; Shwartz, Yury – Bulgarian Comparative Education Society, 2013
Patient's nonadherence to treatment is one of the most serious issues for modern medicine. WHO experts in the guideline [6] thoroughly analyze the reasons for poor adherence to long-term therapy and outline a wide range of factors influencing adherence to long-term therapy. At that it is emphasized that none of those factors is decisive. It…
Descriptors: Focus Groups, Qualitative Research, Compliance (Psychology), Human Body
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Duijff, Sasja; Klaassen, Petra; Beemer, Frits; Swanenburg de Veye, Henriette; Vorstman, Jacob; Sinnema, Gerben – Research in Developmental Disabilities: A Multidisciplinary Journal, 2012
The purpose of this study was to explore the relationship between intelligence and visual motor integration skills in 5-year-old children with 22q11-deletion syndrome (22q11DS) (N = 65, 43 females, 22 males; mean age 5.6 years (SD 0.2), range 5.23-5.99 years). Sufficient VMI skills seem a prerequisite for IQ testing. Since problems related to…
Descriptors: Intelligence, Heart Disorders, Intelligence Quotient, Visual Perception
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Hsu, Shang-Wei; Yen, Chia-Feng; Hung, Wen-Jui; Lin, Lam-Ping; Wu, Chia-Ling; Lin, Jin-Ding – Research in Developmental Disabilities: A Multidisciplinary Journal, 2012
People with metabolic syndrome (MS) are at increased risk of coronary heart disease and other health problems, such as diabetes and stroke. However, there is little previous information on the prevalence and determinants of MS among people with intellectual disabilities (IDs). The present study aimed to examine the prevalence of MS risk factors…
Descriptors: Obesity, Heart Disorders, Incidence, Mental Retardation
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Smith, Matthew Lee; Dickerson, Justin B.; Sosa, Erica T.; McKyer, E. Lisako J.; Ory, Marcia G. – American Journal of Health Behavior, 2012
Objective: To compare college students' perceived disease risk with disease prevalence rates. Methods: Data were analyzed from 625 college students collected with an Internet-based survey. Paired t-tests were used to separately compare participants' perceived 10-year and lifetime disease risk for 4 diseases: heart disease, cancer, diabetes, and…
Descriptors: College Students, Obesity, Health Education, Heart Disorders
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Shockley, Carrie – International Journal of Lifelong Education, 2012
Many US women have had or will experience a cardiac event and little is known about their learning experiences associated with subsequent lifestyle change. In this qualitative study, the researcher examined the experiential learning of 22 women who made lifestyle changes after a cardiac event. Meaning making experiences were examined for influence…
Descriptors: Females, Experiential Learning, Life Style, Heart Disorders
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Jobe, Jared B.; Adams, Alexandra K.; Henderson, Jeffrey A.; Karanja, Njeri; Lee, Elisa T.; Walters, Karina L. – Journal of Primary Prevention, 2012
American Indian and Alaska Native (AI/AN) populations bear a heavy burden of cardiovascular disease (CVD), and they have the highest rates of risk factors for CVD, such as cigarette smoking, obesity, and diabetes, of any U.S. population group. Yet, few randomized controlled trials have been launched to test potential preventive interventions in…
Descriptors: American Indians, Alaska Natives, Heart Disorders, Risk
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Sattler, Elisabeth L. P.; Bhargava, Vibha – Journal of Applied Research on Children, 2015
Introduction: Disparities in cardiovascular diseases are one of today's most important public health challenges. Pathological processes related to modifiable cardiovascular risk factors have shown to begin in childhood and disparities in these risk factors have been reported in adolescence. Food insecurity is significantly associated with…
Descriptors: Food, Security (Psychology), Heart Disorders, Adolescents
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Gomez, Jorge E.; Huete, Juan F.; Hernandez, Velssy L. – IEEE Transactions on Learning Technologies, 2016
The dynamics of the world today demands a change in traditional education paradigms to enable the creation of more efficient learning environments, where students will learn more effectively and will play a more active role in their education. They should interact with the knowledge at anytime-anywhere. In order to tackle this problem we should…
Descriptors: Active Learning, Telecommunications, Handheld Devices, Intelligent Tutoring Systems
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Jansen, J.; Rozeboom, W.; Penning, C.; Evenhuis, H. M. – Journal of Intellectual Disability Research, 2013
Background: Epidemiological information on age-related cardiovascular disease in people with intellectual disability (ID) is scarce and inconclusive. We compared prevalence and incidence of cerebrovascular accident and myocardial infarction over age 50 in a residential population with ID to that in a general practice population. Method: Lifetime…
Descriptors: Foreign Countries, Aging (Individuals), Heart Disorders, Incidence
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Wolfe, Lynne A.; Krasnewich, Donna – Developmental Disabilities Research Reviews, 2013
The congenital disorders of glycosylation (CDG) are a rapidly growing group of inborn errors of metabolism that result from defects in the synthesis of glycans. Glycosylation is a major post-translational protein modification and an estimated 2% of the human genome encodes proteins for glycosylation. The molecular bases for the current 60…
Descriptors: Mental Retardation, Congenital Impairments, Metabolism, Comorbidity
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Palazzo, Steven J.; Skager, Cherie; Kraiger, Anneliese – Education, 2014
There is emerging evidence to suggest community-based interventions can change community-wide behaviors and attitudes toward cardiovascular health. This article describes a partnership between an academic institution and a community nonprofit organization to develop and implement a cardiovascular health promotion program targeting at risk high…
Descriptors: Partnerships in Education, Health Promotion, At Risk Persons, Adolescents
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Gellis, Zvi D.; Kenaley, Bonnie; McGinty, Jean; Bardelli, Ellen; Davitt, Joan; Ten Have, Thomas – Gerontologist, 2012
Purpose: Telehealth care is emerging as a viable intervention model to treat complex chronic conditions, such as heart failure (HF) and chronic obstructive pulmonary disease (COPD), and to engage older adults in self-care disease management. Design and Methods: We report on a randomized controlled trial examining the impact of a multifaceted…
Descriptors: Older Adults, Homebound, Chronic Illness, Heart Disorders
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Ashida, Sato; Kaphingst, Kimberly A.; Goodman, Melody; Schafer, Ellen J. – Health Education & Behavior, 2013
Older individuals play a critical role in disseminating family health history (FHH) information that can facilitate disease prevention among younger family members. This study evaluated the characteristics of older adults and their familial networks associated with two types of communication ("have shared" and "intend to share…
Descriptors: Health, Older Adults, Regression (Statistics), Diseases
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Masters, Ryan K.; Hummer, Robert A.; Powers, Daniel A. – American Sociological Review, 2012
We use hierarchical cross-classified random-effects models to simultaneously measure age, period, and cohort patterns of mortality risk between 1986 and 2006 for non-Hispanic white and non-Hispanic black men and women with less than a high school education, a high school education, and more than a high school education. We examine all-cause…
Descriptors: Models, Cohort Analysis, Females, Males
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Goodwin, Christina L.; Forman, Evan M.; Herbert, James D.; Butryn, Meghan L.; Ledley, Gary S. – Behavior Modification, 2012
Approximately 90% of cardiac events are attributable to a small number of modifiable behavioral risk factors that, if changed, can greatly decrease morbidity and mortality. However, few at-risk individuals make recommended behavioral changes, including those who receive formal interventions designed to facilitate healthy behavior. Given evidence…
Descriptors: Physical Activities, Pilot Projects, Health Behavior, Behavior Modification
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