Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa.
MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa.
Acta Paediatr. 2017 Nov;106(11):1793-1801. doi: 10.1111/apa.14015. Epub 2017 Sep 4.
This birth cohort study investigated longitudinal infant growth and associated factors in a multiethnic population living in a low-resource district surrounding the town of Paarl in South Africa.
Between March 2012 and October 2014, all mothers attending their second trimester antenatal visit at Paarl Hospital were approached for enrolment. Mother-infant pairs were followed from birth until 12 months of age. Comprehensive socio-demographic, nutritional and psychosocial data were collected at birth, two, six and 12 months. Infant anthropometry was analysed as z-scores for weight and height. Linear regression was used to investigate predictors of birthweight, and linear mixed-effects models were used to investigate predictors of infant growth.
Longitudinal anthropometric data from 792 infants were included: 53% were Black African, 47% were mixed race, and 15% were born preterm. Stunting occurred in 13% of infants at 12 months. Maternal height, antenatal alcohol and tobacco use, ethnicity and socioeconomic status were significant predictors of birthweight. In the adjusted mixed-effects model, birthweight was a significant predictor of growth during the first year of life.
Birthweight was an important predictor of growth trajectory during infancy. Birthweight and growth were influenced by several important modifiable factors.
本队列研究调查了生活在南非帕尔镇周边资源匮乏地区的多民族人群中婴儿的纵向生长情况及其相关因素。
2012 年 3 月至 2014 年 10 月期间,所有在帕尔医院接受第二次中期产前检查的母亲都被邀请参加此项研究。从出生到 12 个月龄,对母婴二人进行了随访。在出生、2 个月、6 个月和 12 个月时,收集了全面的社会人口统计学、营养和心理社会数据。婴儿的人体测量值被分析为体重和身高的 z 分数。线性回归用于研究出生体重的预测因素,线性混合效应模型用于研究婴儿生长的预测因素。
共纳入 792 名婴儿的纵向人体测量数据:53%为非洲黑人,47%为混血儿,15%为早产儿。12 个月时,13%的婴儿出现生长迟缓。母亲身高、产前饮酒和吸烟、种族和社会经济地位是出生体重的重要预测因素。在调整后的混合效应模型中,出生体重是婴儿生命第一年生长轨迹的重要预测因素。
出生体重是婴儿期生长轨迹的重要预测因素。出生体重和生长受到几个重要的可改变因素的影响。