Prevalence and predictors of developmental health difficulties within New Zealand preschool-aged children: a latent profile analysis.

IF 2.1 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Journal of the Royal Society of New Zealand Pub Date : 2022-07-06 eCollection Date: 2023-01-01 DOI:10.1080/03036758.2022.2083188
Jin Russell, Cameron C Grant, Susan Morton, Simon Denny, Sarah-Jane Paine Tūhoe
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Abstract

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.

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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。
新西兰有关儿童发育健康结果不平等的研究很少。我们的目的是描述学龄前儿童发育健康的普遍性、聚集性和社会环境关联性。我们利用 "新西兰成长 "项目的儿童参与者在 4.5 岁时的数据进行了潜特征分析,以确定发育健康状况的特征。潜特征分析包括七个测量指标,分别代表发育健康的四个领域:"身体"、"运动"、"社会情感和行为 "以及 "沟通和学习"。多项式逻辑回归用于研究社会环境与潜特征成员资格之间的关联。结果发现了六个潜在特征(N = 6109),包括三个健康/幸福特征:健康"(占样本的 52.6%)、"早期社交技能良好"(占样本的 14.5%)和 "早期学习技能良好"(占样本的 4.0%);以及三个次优特征:早期学习技能困难"(19.5%)、"身体健康困难"(5.6%)和 "发育困难群"(3.7%)。社会经济处境不利的儿童、毛利族或太平洋岛屿族裔儿童以及医疗保健需求未得到满足的儿童被归类为发育健康状况欠佳的几率增加。在这个庞大而多样化的群体中,每四名儿童中就有一名被归类为发育健康状况欠佳。解决发育健康方面的不平等问题对于改善一生的健康状况至关重要。
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来源期刊
Journal of the Royal Society of New Zealand
Journal of the Royal Society of New Zealand 综合性期刊-综合性期刊
CiteScore
4.60
自引率
0.00%
发文量
74
审稿时长
3 months
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.
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