{"title":"自闭症谱系障碍儿童家庭心理弹性的影响因素：潜在特征分析。","authors":"Si-Jin Liu, Gang Zhao, Quan-Zhi Zhang, Hong-Mei Wu, Yi-Si Jin, Wen-Long Liu, Yun Li, Shi-Xia Dai, Xiao-Juan Zhang, Lian-Lian Wang, Ying-Mei E","doi":"10.1080/13548506.2025.2474166","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of the study was to explore distinct profiles of family resilience in a sample of Chinese families with children diagnosed with autism spectrum disorder (ASD). Moreover, we identified socio-demographic predictors of these latent profiles.</p><p><strong>Methods: </strong>The cross-sectional study included 229 children (74.4% boys) diagnosed with ASD from maternity and child healthcare hospitals and comprehensive hospitals in three cities (Shenzhen, Xiamen and Tianyang), China. The socio-demographic characteristics questionnaire and the Chinese version of the Family Resilience Assessment Scale (FRAS) were complicated by parents (229) of children with ASD. Latent profile analysis (LPA) was used to identify and describe profiles of family resilience. Multinomial logistic regression was then performed to identify significant predictors.</p><p><strong>Results: </strong>Three profiles were found after LPA [low family resilience (28.3%), moderate family resilience (41.9%), and high family resilience (29.7%)]. Multinomial logistic regression revealed the severity of illness, cost of treatment and father employment status were significant factors predicted family resilience.</p><p><strong>Conclusion: </strong>We found that most of the families with children affected by ASD had low or moderate family resilience. Family resilience profiles were predicted by socio-demographic characteristics which included the severity of illness, cost of treatment and father employment status. Intervention is suggested to higher the level of family resilience.</p>","PeriodicalId":54535,"journal":{"name":"Psychology Health & Medicine","volume":" ","pages":"1-14"},"PeriodicalIF":2.3000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors of families resilience in children with autism spectrum disorder: a latent profile analysis.\",\"authors\":\"Si-Jin Liu, Gang Zhao, Quan-Zhi Zhang, Hong-Mei Wu, Yi-Si Jin, Wen-Long Liu, Yun Li, Shi-Xia Dai, Xiao-Juan Zhang, Lian-Lian Wang, Ying-Mei E\",\"doi\":\"10.1080/13548506.2025.2474166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The purpose of the study was to explore distinct profiles of family resilience in a sample of Chinese families with children diagnosed with autism spectrum disorder (ASD). Moreover, we identified socio-demographic predictors of these latent profiles.</p><p><strong>Methods: </strong>The cross-sectional study included 229 children (74.4% boys) diagnosed with ASD from maternity and child healthcare hospitals and comprehensive hospitals in three cities (Shenzhen, Xiamen and Tianyang), China. The socio-demographic characteristics questionnaire and the Chinese version of the Family Resilience Assessment Scale (FRAS) were complicated by parents (229) of children with ASD. Latent profile analysis (LPA) was used to identify and describe profiles of family resilience. Multinomial logistic regression was then performed to identify significant predictors.</p><p><strong>Results: </strong>Three profiles were found after LPA [low family resilience (28.3%), moderate family resilience (41.9%), and high family resilience (29.7%)]. Multinomial logistic regression revealed the severity of illness, cost of treatment and father employment status were significant factors predicted family resilience.</p><p><strong>Conclusion: </strong>We found that most of the families with children affected by ASD had low or moderate family resilience. Family resilience profiles were predicted by socio-demographic characteristics which included the severity of illness, cost of treatment and father employment status. Intervention is suggested to higher the level of family resilience.</p>\",\"PeriodicalId\":54535,\"journal\":{\"name\":\"Psychology Health & Medicine\",\"volume\":\" \",\"pages\":\"1-14\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychology Health & Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/13548506.2025.2474166\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychology Health & Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/13548506.2025.2474166","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Factors of families resilience in children with autism spectrum disorder: a latent profile analysis.
Purpose: The purpose of the study was to explore distinct profiles of family resilience in a sample of Chinese families with children diagnosed with autism spectrum disorder (ASD). Moreover, we identified socio-demographic predictors of these latent profiles.
Methods: The cross-sectional study included 229 children (74.4% boys) diagnosed with ASD from maternity and child healthcare hospitals and comprehensive hospitals in three cities (Shenzhen, Xiamen and Tianyang), China. The socio-demographic characteristics questionnaire and the Chinese version of the Family Resilience Assessment Scale (FRAS) were complicated by parents (229) of children with ASD. Latent profile analysis (LPA) was used to identify and describe profiles of family resilience. Multinomial logistic regression was then performed to identify significant predictors.
Results: Three profiles were found after LPA [low family resilience (28.3%), moderate family resilience (41.9%), and high family resilience (29.7%)]. Multinomial logistic regression revealed the severity of illness, cost of treatment and father employment status were significant factors predicted family resilience.
Conclusion: We found that most of the families with children affected by ASD had low or moderate family resilience. Family resilience profiles were predicted by socio-demographic characteristics which included the severity of illness, cost of treatment and father employment status. Intervention is suggested to higher the level of family resilience.
期刊介绍：
Psychology, Health & Medicine is a multidisciplinary journal highlighting human factors in health. The journal provides a peer reviewed forum to report on issues of psychology and health in practice. This key publication reaches an international audience, highlighting the variation and similarities within different settings and exploring multiple health and illness issues from theoretical, practical and management perspectives. It provides a critical forum to examine the wide range of applied health and illness issues and how they incorporate psychological knowledge, understanding, theory and intervention. The journal reflects the growing recognition of psychosocial issues as they affect health planning, medical care, disease reaction, intervention, quality of life, adjustment adaptation and management.
For many years theoretical research was very distant from applied understanding. The emerging movement in health psychology, changes in medical care provision and training, and consumer awareness of health issues all contribute to a growing need for applied research. This journal focuses on practical applications of theory, research and experience and provides a bridge between academic knowledge, illness experience, wellbeing and health care practice.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
