Department of Anthropology, Emory University, Atlanta, GA, USA.
Sleep. 2011 May 1;34(5):641-50. doi: 10.1093/sleep/34.5.641.
The mechanisms underlying infant sleep irregularity are unknown. This study tests the hypothesis that sleep and episodic (saltatory) growth in infant length are temporally coupled processes.
Daily parental diaries continuously recorded sleep onset and awakening for 23 infants (14 females) over 4-17 months (n = 5798 daily records). Multiple model-independent methods compared day-to-day sleep patterns and saltatory length growth.
Approximate entropy (ApEn) quantified temporal irregularity in infant sleep patterns; breastfeeding and infant sex explained 44% of inter-individual variance (P = 0.001). Random effects mixed-model regression identified that saltatory length growth was associated with increased total daily sleep hours (P < 0.001) and number of sleep bouts (P = 0.001), with breastfeeding, infant sex, and age as covariates. Infant size and illness onset were non-contributory. CLUSTER analysis identified peaks in individual sleep of 4.5 more h and/or 3 more naps per day, compared to intervening intervals, that were non-randomly concordant with saltatory length growth for all individuals (P < 0.05), with a time lag of 0-4 days. Subject-specific probabilities of a growth saltation associated with sleep included a median odds ratio of 1.20 for each additional hour (n = 8, 95% CI 1.15 to 1.29) and 1.43 for each additional sleep bout (n = 12, 95% CI 1.21-2.03). Increased sleep bout duration predicted weight (P < 0.001) and abdominal skinfold accrual (P = 0.05) contingent on length growth, and truncal adiposity independent of growth (P < 0.001).
Sleeping and length growth are temporally related biological processes, suggesting an integrated anabolic system. Infant behavioral state changes may reflect biological mechanisms underlying the timing and control of human growth.
婴儿睡眠不规律的机制尚不清楚。本研究检验了以下假设,即婴儿睡眠和间歇性(跳跃式)生长过程是时间相关的。
父母每天连续记录 23 名婴儿(14 名女性)4-17 个月的睡眠起始和觉醒情况(5798 天的睡眠记录)。采用多种非模型独立方法比较了每日睡眠模式和跳跃式生长。
近似熵(ApEn)量化了婴儿睡眠模式的时间不规则性;母乳喂养和婴儿性别解释了 44%的个体间差异(P=0.001)。随机效应混合模型回归确定,跳跃式生长与总睡眠时间增加(P<0.001)和睡眠次数增加(P=0.001)有关,以母乳喂养、婴儿性别和年龄为协变量。婴儿大小和疾病发作没有影响。聚类分析发现,与间隔期相比,所有个体的每日睡眠增加 4.5 小时或更多,白天小睡增加 3 次或更多,与跳跃式生长非随机一致(P<0.05),时间滞后为 0-4 天。与睡眠相关的生长跳跃的个体特异性概率包括每增加 1 小时的中位数优势比为 1.20(n=8,95%CI 1.15 至 1.29)和每增加 1 次睡眠的中位数优势比为 1.43(n=12,95%CI 1.21 至 2.03)。增加睡眠持续时间预测体重(P<0.001)和腹部皮褶厚度增加(P=0.05)取决于生长,而躯干脂肪含量与生长无关(P<0.001)。
睡眠和生长是时间相关的生物学过程,表明存在一个整合的合成代谢系统。婴儿行为状态的变化可能反映了人类生长时间和控制的生物学机制。