IRD UMR216, Mère et enfant face aux infections tropicales, Paris, France.
PLoS One. 2012;7(11):e50136. doi: 10.1371/journal.pone.0050136. Epub 2012 Nov 21.
Anaemia during pregnancy and at delivery is an important public health problem in low- and middle-income countries. Its association with the children's haemoglobin level over time remains unclear. Our goals were to identify distinct haemoglobin level trajectories using latent class analysis and to assess the association between these trajectories and maternal anaemia and other risk factors.
A prospective study of children from birth to 18 months of life was conducted in a rural setting in Tori-Bossito, Benin. The main outcome measure was the haemoglobin levels repeatedly measured at 3, 6, 9, 12, 15 and 18 months. Variables were collected from the mothers at delivery and from their children at birth and during the follow-up. The analyses were performed by means of Latent Class Analysis which has never been used for this kind of data. All the analyses were performed with Stata software, version 11.0, using the generalized linear latent and mixed model (GLLAMM) framework.
We showed that 33.7% of children followed a low haemoglobin trajectory and 66.3% a high trajectory during the first 18 months of life. Newborn anaemia, placental malaria, malaria attack, sickle cell trait and male gender were significantly associated with a lower children's haemoglobin level over time, whereas maternal age, children living in a polygamous family and with good feeding practices had a higher Hb level in the first18 months. We also showed that maternal anaemia was a predictor for 'low haemoglobin level trajectory' group membership but have no significant effect on children haemoglobin level over time.
Latent Class Analyses framework seems well suited to analyse longitudinal data under the hypothesis that different subpopulations of subjects are present in the data, each with its own set of parameters, with distinctive evolutions that themselves may reflect distinctive aetiologies.
妊娠和分娩期间贫血是中低收入国家的一个重要公共卫生问题。其与儿童血红蛋白水平随时间的关系尚不清楚。我们的目标是使用潜在类别分析确定不同的血红蛋白水平轨迹,并评估这些轨迹与产妇贫血和其他危险因素之间的关系。
在贝宁托里-博西托的农村地区进行了一项针对儿童从出生到 18 个月的前瞻性研究。主要结局指标是在 3、6、9、12、15 和 18 个月时反复测量的血红蛋白水平。在分娩时从母亲那里以及在出生时和随访期间从儿童那里收集变量。使用潜在类别分析进行分析,这是从未用于此类数据的方法。所有分析均使用 Stata 软件版本 11.0 通过广义线性潜在和混合模型(GLLAMM)框架进行。
我们发现,33.7%的儿童在生命的头 18 个月中遵循低血红蛋白轨迹,66.3%遵循高血红蛋白轨迹。新生儿贫血、胎盘疟疾、疟疾发作、镰状细胞特征和男性性别与儿童血红蛋白水平随时间的降低显著相关,而母亲年龄、子女生活在一夫多妻家庭中和良好的喂养习惯与前 18 个月的 Hb 水平较高相关。我们还表明,产妇贫血是“低血红蛋白水平轨迹”组别的预测因素,但对儿童血红蛋白水平随时间的变化没有显著影响。
潜在类别分析框架似乎非常适合在假设数据中存在不同的亚人群的情况下分析纵向数据,每个亚人群都有自己的参数集,具有独特的演变,这些演变本身可能反映出不同的病因。