基于潜类别增长模型孤独症患儿社会适应能力发展轨迹及影响因素OA
Developmental trajectories and influencing factors for social adaptation abilities in children with autism spectrum disorder based on latent class growth modeling
目的 基于潜类别增长模型(LCGM)分析孤独症(ASD)患儿社会适应能力发展轨迹,探究其影响因素.方法 选取2018-01-2021-09在湖北民族大学附属民大医院诊治的184例3~6岁ASD患儿为研究对象,分别于入院时、1a后、2 a后、3 a后收集患儿一般情况和临床资料,并进行儿童社交反应量表(SRS-2)评估.使用LCGM对患儿社会适应能力发展轨迹进行刻画,采用单因素和多因素Logistic回归分析ASD患儿社会适应能力的影响因素.结果 184例ASD患儿中152例完成随访,入院时、1a后、2a后、3 a后的 SRS-2评分分别为(85.37±4.62)分、(82.23±3.93)分、(79.04±2.32)分、(75.33±3.23)分,总体呈下降趋势,单因素方差分析显示4个时间点SRS-2值存在统计学差异(F=214.092,P<0.001).通过LCGM识别出3条不同特点的ASD患儿社会适应能力发展轨迹,分别命名低SRS值-2-稳定进展组(34.21%)、中SRS值-2-缓慢进展组(49.34%)、高SRS值-2-停滞组(16.45%).单因素分析显示,3组在独生子女、社会支持评定量表(SSRS)评分、孤独症评定量表(CARS)评分、孤独症行为量表(ABC)评分、监护人文化水平、收入水平方面比较差异均有统计学意义(P<0.05).多因素Logistic回归分析显示,以高SRS值-2-停滞组为参考类,低SRS值-2-稳定进展组和中SRS值-2-缓慢进展组的主要影响因素均有独生子女、监护人文化水平、家庭年收入、SSRS评分(P<0.05).结论 ASD患儿社会适应能力具有不同发展轨迹,且患儿是否为独生子女、监护人文化水平、家庭年收入、SSRS评分是影响ASD患儿社会适应能力发展轨迹的主要因素.
Objective To analyze the developmental trajectories of social adaptation abilities in children with autism spectrum disorder(ASD)using latent class growth model(LCGM),and investigate the influencing factors.Methods A total of 184 ASD children aged 3 to 6 years were selected as subjects who received treatment at Minda Hospital of Hubei Minzu University fromJanuary 2018 to September 2021.General information and clinical data of the children were collected upon admission,one year later,two years later,and three years later.The children's social adaptation was assessed using the social responsiveness scale second edition(SRS-2).LCGM was applied to characterize the developmental trajectory of social adaptation abilities,and univariate and multivariate Logistic regression analysis were used to explore the factors affecting the social adaptation ability of ASD children.Results Of the 184 ASD children,152 completed the follow-up assessments,the average SRS-2 scores at baseline,one year post-admission,two years post-admission,and three years post-admission were 85.37±4.62,82.23±3.93,79.04±2.32,and 75.33±3.23,respectively,indicating an overall downward trend.The results from the single-factor variance analysis showed significant differences among the SRS-2 scores across the four time points(F=214.092,P<0.001).Through application of the LCGM,three distinctive developmental trajectories of social adaptation abilities in ASD children were discerned:low SRS-2 value-stable progress group accounting for 34.21%,moderate SRS-2 value-slow progress group accounting for 49.34%,and high SRS-2 value-stagnant group accounting for 16.45%.Single-factor analysis indicated that there were statistically significant differences among the three groups concerning whether they were the only child in the family,the social support rating scale(SSRS)scores,the autism rating scale(CARS)scores,the autism behavior checklist(ABC)scores,educational levels of guardians,and income levels(P<0.05).The results from multivariate Logistic regression analysis,with the high SRS-2 value-stagnant group serving as the reference category,showed that major influencing factors contributing to membership in either the low SRS-2 value-stable progress group or the moderate SRS-2 value-slow progress group included being an only child,guardian's educational attainment,annual household income,and SSRS scores(P<0.05).Conclusion Children with ASD have different developmental trajectories for their social adaptation abilities,where being an only child,guardian education level,household annual income,and SSRS scores are key factors influencing these trajectories.
单丽;聂瑶;罗意;邢珩
湖北民族大学附属民大医院,湖北恩施 445000湖北民族大学附属民大医院,湖北恩施 445000湖北民族大学附属民大医院,湖北恩施 445000湖北民族大学附属民大医院,湖北恩施 445000
医药卫生
孤独症潜类别增长模型社会适应能力发展轨迹影响因素
AutismLatent class growth modelingSocial adaptation abilityDevelopmental trajectoriesInfluencing factors
《中国实用神经疾病杂志》 2026 (1)
48-52,5
湖北省卫生健康委2019年度第一批联合基金立项项目(编号:WJ2019H145)
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