Jin Russell, Cameron C Grant, Susan Morton, Simon Denny, Sarah-Jane Paine Tūhoe
{"title":"新西兰学龄前儿童发育健康困难的发生率和预测因素:潜在特征分析。","authors":"Jin Russell, Cameron C Grant, Susan Morton, Simon Denny, Sarah-Jane Paine Tūhoe","doi":"10.1080/03036758.2022.2083188","DOIUrl":null,"url":null,"abstract":"<p><p>New Zealand research on inequities in children's developmental health outcomes is sparse. We aimed to describe the prevalence, clustering, and socio-environmental associations of developmental health in preschool-aged children. A latent profile analysis was performed using data from child participants of <i>Growing Up in New Zealand</i> at age 4.5-years to identify profiles of developmental health status. Seven measures were included in the latent profile analysis, representing four domains of developmental health: 'physical', 'motor', 'socioemotional and behavioural', and 'communication and learning'. Multinominal logistic regression was used to investigate socio-environmental associations of latent profile membership. Six latent profiles were identified (<i>N</i> = 6109), including three healthy/flourishing profiles: 'healthy' (52.6% of the sample), 'early social skills flourishing' (14.5%), and 'early learning skills flourishing' (4.0%); and three suboptimal profiles: 'early learning skills difficulties' (19.5%), 'physical health difficulties' (5.6%), and 'developmental difficulties cluster' (3.7%). Children experiencing socioeconomic disadvantage, of Māori or Pacific ethnicity, and with unmet healthcare needs had increased odds of being classified to suboptimal developmental health profiles. In this large, diverse cohort, one-in-four children were classified as having suboptimal developmental health. Addressing inequities in developmental health is crucial to improving health over the life course.</p>","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":"53 1","pages":"587-614"},"PeriodicalIF":2.1000,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11459816/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prevalence and predictors of developmental health difficulties within New Zealand preschool-aged children: a latent profile analysis.\",\"authors\":\"Jin Russell, Cameron C Grant, Susan Morton, Simon Denny, Sarah-Jane Paine Tūhoe\",\"doi\":\"10.1080/03036758.2022.2083188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>New Zealand research on inequities in children's developmental health outcomes is sparse. We aimed to describe the prevalence, clustering, and socio-environmental associations of developmental health in preschool-aged children. A latent profile analysis was performed using data from child participants of <i>Growing Up in New Zealand</i> at age 4.5-years to identify profiles of developmental health status. Seven measures were included in the latent profile analysis, representing four domains of developmental health: 'physical', 'motor', 'socioemotional and behavioural', and 'communication and learning'. Multinominal logistic regression was used to investigate socio-environmental associations of latent profile membership. Six latent profiles were identified (<i>N</i> = 6109), including three healthy/flourishing profiles: 'healthy' (52.6% of the sample), 'early social skills flourishing' (14.5%), and 'early learning skills flourishing' (4.0%); and three suboptimal profiles: 'early learning skills difficulties' (19.5%), 'physical health difficulties' (5.6%), and 'developmental difficulties cluster' (3.7%). Children experiencing socioeconomic disadvantage, of Māori or Pacific ethnicity, and with unmet healthcare needs had increased odds of being classified to suboptimal developmental health profiles. In this large, diverse cohort, one-in-four children were classified as having suboptimal developmental health. Addressing inequities in developmental health is crucial to improving health over the life course.</p>\",\"PeriodicalId\":49984,\"journal\":{\"name\":\"Journal of the Royal Society of New Zealand\",\"volume\":\"53 1\",\"pages\":\"587-614\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2022-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11459816/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Royal Society of New Zealand\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1080/03036758.2022.2083188\",\"RegionNum\":4,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Royal Society of New Zealand","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1080/03036758.2022.2083188","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Prevalence and predictors of developmental health difficulties within New Zealand preschool-aged children: a latent profile analysis.
New Zealand research on inequities in children's developmental health outcomes is sparse. We aimed to describe the prevalence, clustering, and socio-environmental associations of developmental health in preschool-aged children. A latent profile analysis was performed using data from child participants of Growing Up in New Zealand at age 4.5-years to identify profiles of developmental health status. Seven measures were included in the latent profile analysis, representing four domains of developmental health: 'physical', 'motor', 'socioemotional and behavioural', and 'communication and learning'. Multinominal logistic regression was used to investigate socio-environmental associations of latent profile membership. Six latent profiles were identified (N = 6109), including three healthy/flourishing profiles: 'healthy' (52.6% of the sample), 'early social skills flourishing' (14.5%), and 'early learning skills flourishing' (4.0%); and three suboptimal profiles: 'early learning skills difficulties' (19.5%), 'physical health difficulties' (5.6%), and 'developmental difficulties cluster' (3.7%). Children experiencing socioeconomic disadvantage, of Māori or Pacific ethnicity, and with unmet healthcare needs had increased odds of being classified to suboptimal developmental health profiles. In this large, diverse cohort, one-in-four children were classified as having suboptimal developmental health. Addressing inequities in developmental health is crucial to improving health over the life course.
期刊介绍:
Aims: The Journal of the Royal Society of New Zealand reflects the role of Royal Society Te Aparangi in fostering research and debate across natural sciences, social sciences, and the humanities in New Zealand/Aotearoa and the surrounding Pacific. Research published in Journal of the Royal Society of New Zealand advances scientific knowledge, informs government policy, public awareness and broader society, and is read by researchers worldwide.