Department of Physiotherapy, School of Rehabilitation Sciences, The University of Jordan, Amman, Jordan.
Orelena Hawks Puckett Institute, Asheville, NC, USA.
Phys Occup Ther Pediatr. 2021;41(6):670-685. doi: 10.1080/01942638.2021.1900490. Epub 2021 Mar 24.
To describe the development of the Arabic-Parent Nutritional Assessment Scale (A-PNAS), and to examine construct and known-group discriminant validity, internal consistency, and test-retest reliability of the A-PNAS. A cross-sectional design was used. Participants were 130-children with CP (mean age = 4.26 ± 3.29 years) who were registered in the national CP registry of Jordan with a matching group of 130-children with typical development (mean age = 4.65 ± 3.54 years). Parents completed the developed A-PNAS through a structured phone interview. Parents of children with CP confirmed their child's level of gross motor function classification system. Exploratory factor analysis identified three subscales in the A-PNAS: , , and which explained 31.6% of the variance in nutritional problems of children with CP. Cronbach's alpha indicated acceptable internal consistency for (α = 0.61) and (α = 0.67)subscales. Parents of children with CP reported that their children had more food intake, health, and behavioral problems compared to children with typical development (<.001). Test-retest reliability was excellent for the subscales of the A-PNAS (ICCs = 0.96, 0.98, 0.96). The findings provide support for the face validity, construct validity, internal consistency, Known-Groups discriminant validity, and test-retest reliability of the A-PNAS.
描述阿拉伯语家长营养评估量表(A-PNAS)的开发过程,并检验 A-PNAS 的结构和已知组判别有效性、内部一致性和重测信度。采用横断面设计。参与者为 130 名患有脑瘫的儿童(平均年龄=4.26±3.29 岁)和 130 名具有典型发育的儿童(平均年龄=4.65±3.54 岁),这些儿童均登记在约旦全国脑瘫登记处。家长通过结构化电话访谈完成开发的 A-PNAS。脑瘫儿童的家长确认其孩子的粗大运动功能分级系统水平。探索性因素分析确定了 A-PNAS 的三个分量表:、、,这三个分量表解释了脑瘫儿童营养问题的 31.6%的方差。克朗巴赫的α值表明,对于和分量表,内部一致性可接受(α=0.61 和α=0.67)。与具有典型发育的儿童相比,脑瘫儿童的家长报告说他们的孩子在食物摄入、健康和行为方面存在更多问题(<0.001)。A-PNAS 的分量表的重测信度非常好(ICC=0.96、0.98、0.96)。研究结果为 A-PNAS 的表面有效性、结构有效性、内部一致性、已知组判别有效性和重测信度提供了支持。