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Kim, Cheong Hoon; Kang, Kyung-Ah; Shin, Sunhwa – Journal of American College Health, 2023
Objective: This study aimed to determine whether low healthy lifestyle (HL) status was associated with alcohol and food addiction risks among college students. Method: The data were gathered through an online survey questionnaire from 311 college students. The students were divided into either a lower or a higher HL status group, based on HL mean…
Descriptors: Life Style, Health Behavior, Drinking, Alcohol Abuse
Baraskewich, Jessica; von Ranson, Kristin M.; McCrimmon, Adam; McMorris, Carly A. – Autism: The International Journal of Research and Practice, 2021
Feeding problems, such as picky eating and food avoidance, are common in youth with autism. Other feeding and eating problems (e.g. disordered eating, fear of trying new foods, and insistence on specific food presentation) are also common in this population. This scoping review describes the nature and extent of feeding and eating problems in…
Descriptors: Eating Disorders, Eating Habits, Preferences, Food
Gover, Holly C.; Hanley, Gregory P.; Ruppel, Kelsey W.; Landa, Robin K.; Marcus, Juliana – International Journal of Developmental Disabilities, 2023
Food selectivity affects up to 72% and 45% of individuals with and without disabilities, respectively, and there is a need for interventions that rely on positive, unrestrictive strategies. We evaluated an assessment and treatment package for food selectivity for young children with developmental disabilities that prioritized caregiver…
Descriptors: Intervention, Food, Young Children, Developmental Disabilities
S. Padmanabhan, Pujitha; Shroff, Hemal – International Journal of Developmental Disabilities, 2020
Objective: This study was conducted to assess the dietary intake, food refusal, and nutritional status of younger and older children with Autism Spectrum Disorders (ASD) in Mumbai, India, and to understand the relationships between these variables and mealtime behaviors and sensory integration. Methods: This was an observational cross-sectional…
Descriptors: Foreign Countries, Sensory Integration, Eating Habits, Nutrition
Qi, Baiyu; Humphrey, Addie; Bulik, Cynthia M.; Baker, Jessica H.; Munn-Chernoff, Melissa A. – Journal of American College Health, 2023
Objective: Food-restricted alcohol consumption (FRAC) is a growing concern among college students. We investigated demographic and lifestyle characteristics and psychiatric symptoms associated with FRAC. Participants: College students (n = 561) at a large southeastern university in the United States. Methods: Participants completed online…
Descriptors: Drinking, College Students, Eating Habits, Student Characteristics
Watson, Sophie; Costantini, Cristina; Clegg, Miriam E. – Child Care in Practice, 2020
Background: Feeding methods used during infancy may impact upon eating behaviors in toddlers and influence the likelihood of developing weight issues. The aim of this study was to compare eating behaviors and food neophobia (defined as the reluctance to eat, or the avoidance of, new foods) in toddlers between three different complementary feeding…
Descriptors: Nutrition, Eating Habits, Food, Eating Disorders
McCulloch, Emaley; Cuckler, Audra; Valdes, Elise; Hughes, M. Courtney – Intellectual and Developmental Disabilities, 2020
Dysphagia is common in individuals with developmental disabilities. Little research exists on the impact of trainings aimed at improving Direct Care Staff's (DCS) use of safe eating and drinking practices. This article presents two studies using pre-and postexperimental design, evaluating online training to improve DCSs' knowledge and ability to…
Descriptors: Developmental Disabilities, Eating Habits, Eating Disorders, Health Promotion
Correlates of Feeding Difficulties among Children with Autism Spectrum Disorder: A Systematic Review
Page, Shayleigh Dickson; Souders, Margaret C.; Kral, Tanja V. E.; Chao, Ariana M.; Pinto-Martin, Jennifer – Journal of Autism and Developmental Disorders, 2022
Feeding difficulties related to selective intake, or eating a limited variety of foods, are very common in children with autism spectrum disorder (ASD). A systematic search of PubMed, Embase, PsycInfo, and CINAHL identified 29 studies that evaluated eight correlates: age, ASD symptoms and severity, cognitive and adaptive skills, sensory processing…
Descriptors: Correlation, Eating Habits, Autism, Pervasive Developmental Disorders
Examining the Effect of Weight Conscious Drinking on Binge Drinking Frequency among College Freshmen
Castañeda, Gail; Colby, Sarah E.; Barnett, Tracey E.; Olfert, Melissa D.; Zhou, Wenjun; Leite, Walter L.; El Zein, Aseel; Mathews, Anne E. – Journal of American College Health, 2020
Objective: To examine the effect of weight-conscious drinking and compensatory behavior temporality on binge drinking frequency of college freshmen. Participants: Freshmen (n = 1149) from eight US universities, Fall 2015. Methods: Participants completed the Compensatory Eating Behaviors in Response to Alcohol Consumption Scale and Alcohol Use…
Descriptors: Body Weight, Alcohol Abuse, Eating Disorders, Eating Habits
Kauffman, Brooke Y.; Bakhshaie, Jafar; Manning, Kara; Rogers, Andrew H.; Shepherd, Justin M.; Zvolensky, Michael J. – Journal of American College Health, 2020
Objective: Research suggests that college is a risky period for changes in eating behavior and beliefs. Although social health determinants relate to health behavior changes, research has not explored subjective social status, one's societal standing, in terms of eating expectancies among college students. The present study examined the emotion…
Descriptors: Social Status, Eating Habits, Risk, College Students
Hrivnová, Michaela – Center for Educational Policy Studies Journal, 2021
According to the Framework Education Programme for Elementary Education in the Czech Republic, part of Health Education is nutrition and food intake, including the drinking regimen. This paper's objective is to analyse that using the results of two extensive curricular studies performed at the Faculty of Education, Palacký University Olomouc. Both…
Descriptors: Foreign Countries, Life Style, Health Behavior, Nutrition
Murphy, Chaise; Takahashi, Shinya; Bovaird, Jim; Koehler, Karsten – Journal of American College Health, 2021
Objective: Given the number of college students with a normal BMI decreases 9-12% throughout the college experience, we wanted to model the traits responsible for behaviors impacting body composition in college-age women. Participants: Participants (n = 141) were recruited from a freshman-level nutrition course between August 2016 and May 2018.…
Descriptors: Physical Fitness, Eating Habits, Physical Activity Level, Predictor Variables
Booker, Robert; Novik, Melinda; Galloway, Riley; Holmes, Megan E. – Journal of American College Health, 2021
Objective: Investigate the relationship between intensities of physical activity and severity of drunkorexia behaviors. Participants: First-year college students living in residence halls (n = 127) completed an online survey comprising drinking, drunkorexia, and physical activity. Methods: Multiple hierarchical linear regressions were implemented…
Descriptors: Drinking, Alcohol Abuse, Physical Activity Level, Eating Habits
Archer, Brent; Azios, Jamie; Azios, Michael; Becerril, Stefanie; Heels, Jane – Communication Disorders Quarterly, 2018
Few studies of the ways in which consistency modification might affect dimensions of wellness exist. The aim of this study is to furnish preliminary findings on the effects that consistency modification has on a range of aspects of living. The authors (five speech-language pathologists [SLPs]) restricted our oral intake to thickened liquids and…
Descriptors: Wellness, Speech Language Pathology, Allied Health Personnel, Evidence Based Practice
Seward, Michael W.; Soled, Derek R. – Journal of American College Health, 2020
Nudge theory describes how indirect suggestions and positive reinforcement can influence decision-making. We used nudge theory to implement a traffic-light labeling and choice architecture (modifying product placement) intervention at Harvard University cafeterias, but found no significant change in sales. Survey and focus group data showed that…
Descriptors: Decision Making, Positive Reinforcement, Merchandise Information, Food