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BoAe Im; HyunSoo Oh; SooHyun Kim; HyeSun Jeong; WhaSook Seo – Health Education & Behavior, 2024
Rheumatic diseases are known to be associated with the development of metabolic syndrome, which increases mortality rates due to cardiovascular complications. Although a variety of self-management programs for rheumatic diseases have been developed, few have concentrated on metabolic syndrome. This study aimed to develop and verify a blended (a…
Descriptors: Self Management, Patients, Comparative Analysis, Diseases
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Versteeg, Marjolein; Wijnen-Meijer, Marjo; Steendijk, Paul – Advances in Physiology Education, 2019
Misconceptions about physiology are a major threat to accurate scientific and clinical reasoning in medical education. Awareness is often mentioned as a prerequisite to achieve conceptual understanding; however, students are frequently unaware of their incorrect understanding. We explored the multitier approach as a tool to obtain insight into…
Descriptors: Misconceptions, Metabolism, Heart Disorders, Student Attitudes
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Roberts, Danielle A.; Mwebe, Herbert P. – Work Based Learning e-Journal International, 2020
Poor physical health is common in people with Severe Mental Illness (SMI). Two-thirds of deaths in SMI could be avoided if patients are offered prompt physical health screening for known risk factors. We aimed to identify SMI patients registered at a General Practice and audit their care in relation to physical health monitoring. We included adult…
Descriptors: Foreign Countries, Physical Health, Severe Disabilities, Mental Disorders
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Chen, Edith; Lee, William K.; Cavey, Lisa; Ho, Amanda – Child Development, 2013
Little is understood about why some youth from low-socioeconomic-status (SES) environments exhibit good health despite adversity. This study tested whether role models and "shift-and-persist" approaches (reframing stressors more benignly while persisting with future optimism) protect low-SES youth from cardiovascular risk. A total of 163…
Descriptors: Role Models, Risk, Heart Disorders, Socioeconomic Status
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de Almeida, J. P. P. G. L.; de Lima, J. L. M. P. – Advances in Physiology Education, 2013
An educational device was created to develop a hands-on activity to illustrate how atherosclerosis can dramatically reduce blood flow in human vessels. The device was conceived, designed, and built at the University of Coimbra, in response to a request from the Exploratorio Infante D. Henrique Science Centre Museum, where it is presently…
Descriptors: Foreign Countries, Physiology, Science Education, Experiential Learning
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Apekey, Tanefa A.; Morris, A. E. J.; Fagbemi, S.; Griffiths, G. J. – Health Education Journal, 2012
Objective: Despite the health benefits, many people do not undertake regular exercise. This study investigated the effects of moderate-intensity exercise on cardiorespiratory fitness (lung age, blood pressure and maximal aerobic power, VO[subscript 2]max), serum lipids concentration and body mass index (BMI) in sedentary overweight/obese adults…
Descriptors: Metabolism, Obesity, Body Composition, Exercise
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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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Gutiérrez-Zornoza, Myriam; Sánchez-López, Mairena; García-Hermoso, Antonio; González-García, Alberto; Chillón, Palma; Martínez-Vizcaíno, Vicente – Health Education & Behavior, 2015
Purpose: The aim of this study was to examine (a) whether distance from home to school is a determinant of active commuting to school (ACS), (b) the relationship between distance from home to heavily used facilities (school, green spaces, and sports facilities) and the weight status and cardiometabolic risk categories, and (c) whether ACS has a…
Descriptors: Child Health, Body Weight, At Risk Persons, Rural Areas
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de Heer, Hendrik Dirk; Balcazar, Hector G; Lee Rosenthal, E.; Cardenas, Victor M; Schulz, Leslie O. – Hispanic Journal of Behavioral Sciences, 2011
This study addressed the association between items from the General Acculturation Index (GAI) and cardiovascular health. Specifically, we assessed whether ethnic pride was associated with health outcomes after controlling for items regarding language, place where the childhood was spent, and ethnic interaction. The study was a cross-sectional…
Descriptors: Smoking, Mexican Americans, Diabetes, At Risk Persons
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Wallén, Eva Flygare; Müllersdorf, Maria; Christensson, Kyllike; Marcus, Claude – Journal of Intellectual Disabilities, 2013
This study evaluates a multifactorial school-based intervention with the aim of decreasing cardiometabolic risk factors by means of a healthy lifestyle, primarily with daily physical activity and healthy food during school hours, at an upper secondary school for students with intellectual disabilities. The outcome is measured in terms of…
Descriptors: Intellectual Disability, At Risk Persons, Life Style, Health Promotion
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Longhi, Elena; Pickett, Nick – Psychology of Music, 2008
The aim of this study was to investigate the physiological responses of long-term hospitalized children when exposed to live music. Twenty-one paediatric patients at Great Ormond Street Children's Hospital, London, between 3 months and 14 years of age, took part in the study. They were all long-term patients with cardiac and/or respiratory…
Descriptors: Metabolism, Music, Musicians, Hospitalized Children
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Thomas, Non-Eleri; Cooper, Stephen-Mark; Williams, Simon P.; Baker, Julien S.; Davies, Bruce – European Physical Education Review, 2005
This study determined the prevalence of coronary heart disease (CHD) risk factors in young people of differing socio-economic status (SES). A cohort of 100 boys and 108 girls, aged 12.9, SD 0.3 years drawn of differing SES were assessed for CHD risk factors. Measurements included indices of obesity, blood pressure, aerobic fitness, diet, blood…
Descriptors: Obesity, Body Composition, Socioeconomic Status, Economic Status