Protocol for iGrow (Infant Growth and Development Study): biopsychosocial predictors of childhood obesity risk at 2 years.
Protocol for iGrow (Infant Growth and Development Study): biopsychosocial predictors of childhood obesity risk at 2 years.
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DOI：
10.1186/s12889-020-10003-0
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发表时间：
2020-12-14
影响因子：
4.5
通讯作者：
Wideman L
中科院分区：
文献类型：
--
作者：
Leerkes EM;Buehler C;Calkins SD;Shriver LH;Wideman L
儿童肥胖仍然是一个重大的公共卫生问题。到目前为止，大多数关于肥胖原因和相关因素的研究都集中在少数肥胖的直接预测因素上，而不是测试复杂的模型，这些模型解决了肥胖在早期发育中起源的多因素性质。我们描述了iGrow（婴儿生长发育研究）的原理和方法，该研究将测试多种途径，通过这些途径（a）产前母体心理生物学风险预测出生后头6个月的婴儿体重增加，以及（B）这种早期体重增加赋予2岁时肥胖的风险。婴儿激素和心理生物学风险被认为是从产前风险到早期体重增加的中介，尽管这些风险受到早期母体敏感性和致肥胖喂养习惯的影响。此外，较高的母亲敏感性和较低的肥胖喂养的做法，提出了适应性儿童自我调节的预测在生命的第二年，所有这三个建议缓冲/减少高早期婴儿体重增加和肥胖风险之间的关联在2岁。iGrow是一项前瞻性的、基于社区的纵向研究，涵盖了300名不同的母亲和婴儿，从怀孕到孩子2岁的5个数据波。关键的测量包括（a）关于人口统计学、压力、幸福感、喂养习惯和儿童特征及健康的母亲报告;（B）在喂养、玩耍和引起痛苦的任务期间直接观察母亲和婴儿的行为，在此期间记录婴儿心率以得出迷走神经退缩的测量值;（c）母亲和婴儿的人体测量值;及（d）孕妇产前血液及婴儿唾液及尿液的化验。在结构方程模型中，一系列人口统计学和其他潜在的混淆将被视为潜在的协变量，其中包括中介和适度的测试。详细介绍了为减轻COVID-19对研究成功的有害影响所做的努力。这项研究有可能为以下方面提供信息：（1）与儿童肥胖症相关的早期生命过程的基础科学;（2）考虑母亲、婴儿和家庭风险和资源的有针对性的干预和预防方法的发展。
Childhood obesity remains a significant public health problem. To date, most research on the causes and correlates of obesity has focused on a small number of direct predictors of obesity rather than testing complex models that address the multifactorial nature of the origins of obesity in early development. We describe the rationale and methods of iGrow (Infant Growth and Development Study) which will test multiple pathways by which (a) prenatal maternal psychobiological risk predicts infant weight gain over the first 6 months of life, and (b) this early weight gain confers risk for obesity at age 2. Infant hormonal and psychobiological risk are proposed mediators from prenatal risk to early weight gain, though these are moderated by early maternal sensitivity and obesogenic feeding practices. In addition, higher maternal sensitivity and lower obesogenic feeding practices are proposed predictors of adaptive child self-regulation in the second year of life, and all three are proposed to buffer/reduce the association between high early infant weight gain and obesity risk at age 2. iGrow is a prospective, longitudinal community-based study of 300 diverse mothers and infants to be followed across 5 data waves from pregnancy until children are age 2. Key measures include (a) maternal reports of demographics, stress, well-being, feeding practices and child characteristics and health; (b) direct observation of maternal and infant behavior during feeding, play, and distress-eliciting tasks during which infant heart rate is recorded to derive measures of vagal withdrawal; (c) anthropometric measures of mothers and infants; and (d) assays of maternal prenatal blood and infant saliva and urine. A host of demographic and other potential confounds will be considered as potential covariates in structural equation models that include tests of mediation and moderation. Efforts to mitigate the deleterious effects of COVID-19 on study success are detailed. This study has the potential to inform (1) basic science about early life processes casually related to childhood obesity and (2) development of targeted intervention and prevention approaches that consider mother, infant, and family risks and resources.
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影响因子：
2.1
作者：
Calkins, SD;Johnson, MC
通讯作者：
Johnson, MC
DOI：
10.1111/infa.12002
发表时间：
2013
期刊：
Infancy : the official journal of the International Society on Infant Studies
影响因子：
--
作者：
Anzman-Frasca S;Liu S;Gates KM;Paul IM;Rovine MJ;Birch LL
通讯作者：
Birch LL
影响因子：
4
作者：
Appelbaum, M;Belsky, J;Weinraub, M
通讯作者：
Weinraub, M
影响因子：
8
作者：
Clayton, Heather B.;Li, Ruowei;Scanlon, Kelley S.
通讯作者：
Scanlon, Kelley S.
影响因子：
8
作者：
Anderson, Sarah E.;Gooze, Rachel A.;Whitaker, Robert C.
通讯作者：
Whitaker, Robert C.