OBJECTIVE: We examine clinically relevant differences in family mealtime behaviors for young children with type 1 diabetes mellitus (T1DM) and matched controls. METHODS: One hundred and eighteen families (46% boys; M age = 5.0, SD = 1.5 years) had at least three home meals videotaped and coded for family behaviors. Analyses had adequate statistical power to detect medium effects. RESULTS: Parents of children with TIDM offered a higher rate and frequency of commands to eat than controls. As the meal progressed, all parents worked harder at controlling mealtimes, while children ate less. Behaviors associated with lower dietary adherence and poorer glycemic control occurred on average 9 min of a typical 19 min meal for children with TIDM. CONCLUSIONS: When differences in family mealtime behaviors have been found in other pediatric groups (e.g., cystic fibrosis), the results have directly informed the development of effective interventions. The clinically relevant results of this study can be used to inform interventions for young children with TIDM.
OBJECTIVE: We examine clinically relevant differences in family mealtime behaviors for young children with type 1 diabetes mellitus (T1DM) and matched controls. METHODS: One hundred and eighteen families (46% boys; M age = 5.0, SD = 1.5 years) had at least three home meals videotaped and coded for family behaviors. Analyses had adequate statistical power to detect medium effects. RESULTS: Parents of children with TIDM offered a higher rate and frequency of commands to eat than controls. As the meal progressed, all parents worked harder at controlling mealtimes, while children ate less. Behaviors associated with lower dietary adherence and poorer glycemic control occurred on average 9 min of a typical 19 min meal for children with TIDM. CONCLUSIONS: When differences in family mealtime behaviors have been found in other pediatric groups (e.g., cystic fibrosis), the results have directly informed the development of effective interventions. The clinically relevant results of this study can be used to inform interventions for young children with TIDM.
Authors: L J Stark; E Jelalian; S W Powers; M M Mulvihill; L C Opipari; A Bowen; I Harwood; M A Passero; A Lapey; M Light; M F Hovell Journal: J Pediatr Date: 2000-02 Impact factor: 4.406
Authors: Scott W Powers; Julie S Jones; Kathleen S Ferguson; Carrie Piazza-Waggoner; Cori Daines; James D Acton Journal: Pediatrics Date: 2005-12 Impact factor: 7.124
Authors: Scott W Powers; Kelly C Byars; Monica J Mitchell; Susana R Patton; Debbie A Standiford; Lawrence M Dolan Journal: Diabetes Care Date: 2002-02 Impact factor: 19.112
Authors: L J Stark; M M Mulvihill; S W Powers; E Jelalian; K Keating; S Creveling; B Byrnes-Collins; I Harwood; M A Passero; M Light; D L Miller; M F Hovell Journal: J Pediatr Gastroenterol Nutr Date: 1996-04 Impact factor: 2.839
Authors: L J Stark; E Jelalian; M M Mulvihill; S W Powers; A M Bowen; L E Spieth; K Keating; S Evans; S Creveling; I Harwood Journal: Pediatrics Date: 1995-02 Impact factor: 7.124
Authors: Scott W Powers; Susana R Patton; Kelly C Byars; Monica J Mitchell; Elissa Jelalian; Mary M Mulvihill; Melbourne F Hovell; Lori J Stark Journal: Pediatrics Date: 2002-05 Impact factor: 7.124
Authors: Susana R Patton; Lawrence M Dolan; Monica J Mitchell; Kelly C Byars; Debra Standiford; Scott W Powers Journal: Pediatr Diabetes Date: 2004-12 Impact factor: 4.866
Authors: Scott W Powers; Monica J Mitchell; Susana R Patton; Kelly C Byars; Elissa Jelalian; Mary M Mulvihill; Melbourne F Hovell; Lori J Stark Journal: J Cyst Fibros Date: 2005-09 Impact factor: 5.482
Authors: Maureen Monaghan; Linda Jones Herbert; Jichuan Wang; Clarissa Holmes; Fran R Cogen; Randi Streisand Journal: Health Psychol Date: 2015-02-09 Impact factor: 4.267
Authors: Eva M Alvarez-Moya; Cristian Ochoa; Susana Jiménez-Murcia; Maria Neus Aymamí; Mónica Gómez-Peña; Fernando Fernández-Aranda; Juanjo Santamaría; Laura Moragas; Francesca Bove; José M Menchón Journal: J Psychiatry Neurosci Date: 2011-05 Impact factor: 6.186