Children at risk for developmental delay can be recognised by stunting, being underweight, ill health, little maternal schooling or high gravidity
Children at risk for developmental delay can be recognised by stunting, being underweight, ill health, little maternal schooling or high gravidity
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DOI：
10.1111/j.1469-7610.2009.02193.x
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发表时间：
2010-06-01
影响因子：
7.6
通讯作者：
Van Baar, Anneloes
中科院分区：
文献类型：
--
作者：
Abubakar, Amina;Holding, Penny;Van Baar, Anneloes
目的：调查的风险状态，可以很容易地监测在资源有限的环境中识别儿童需要的早期发展intervention.Methods：八十五名儿童在基利菲，肯尼亚，年龄在2和10个月之间的招聘，参与了10个月的随访。通过父母报告使用当地开发的检查表收集有关发育结果的数据。我们测试了独特的和综合的影响，少产妇教育和较高的妊娠，人体测量状态（体重不足和发育迟缓）和健康状况不佳的水平上的发展成就和收购率的发展milestone.Results：所有五个预测模型显示出良好的拟合数据（卡方2（21，N = 85）= 23.00，p = 0.33）。研究发现，母亲受教育程度、怀孕次数和儿童发育迟缓可预测发育成就率（分别为β = 0.24、β = 0.31和β = 0.41）。体重不足、健康状况不佳、发育迟缓和妊娠可预测初始发育状态（β = -.26、β = -.27、β = -.43和β = -.27）。结论：使用这些易于管理的措施可以预测发育成就的缓慢速度，并且与风险的最强关系是基于所有措施的组合。
Aims:To investigate markers of risk status that can be easily monitored in resource-limited settings for the identification of children in need of early developmental intervention.Methods:Eighty-five children in Kilifi, Kenya, aged between 2 and 10 months at recruitment, were involved in a 10-month follow-up. Data on developmental outcome were collected through parental report using a locally developed checklist. We tested for the unique and combined influence of little maternal schooling and higher gravidity, anthropometric status (being underweight and stunting) and poor health on the level of developmental achievement and the rate of acquisition of developmental milestones.Results:A model with all five predictors showed a good fit to the data (chi 2(21, N = 85) = 23.00, p = .33). Maternal schooling and gravidity and child's stunting were found to predict the rate of developmental achievements (beta = .24, beta = .31, and beta = .41, respectively). Being underweight, ill-health, stunting and gravidity predicted initial developmental status (beta = -.26, beta = -.27, beta = -.43, and beta = -.27).Conclusions:Slow rates of developmental achievement can be predicted using these easy-to-administer measures and the strongest relationship with risk was based on a combination of all measures.