性早熟女童早期成长逆境暴露与非稳态负荷的关联

王亚; 李晶; 袁静怡; 张功; 李婷; 徐琪; 周妍; 孙莹

doi:10.16835/j.cnki.1000-9817.2022.11.022

性早熟女童早期成长逆境暴露与非稳态负荷的关联

doi: 10.16835/j.cnki.1000-9817.2022.11.022

王亚¹,
李晶²,
袁静怡²,
张功¹,
李婷¹,
徐琪¹,
周妍¹,
孙莹^{2, 3, ,}

1.
安徽省儿童医院儿童保健科，合肥 230032
2.
安徽医科大学公共卫生学院儿少卫生与妇幼保健学系
3.
出生人口健康教育部重点实验室/人口健康与优生安徽省重点实验室

基金项目:

国家自然科学基金项目 82173537

国家自然科学基金项目 81872638

安徽省自然科学基金杰青项目 1908085J26

安徽省卫生健康委科研项目 AHWJ2021b101

详细信息

作者简介:
王亚(1982-)，女，安徽砀山人，硕士，副主任医师，主要研究方向为儿童保健与发育行为疾病

通讯作者:
孙莹，E-mail：yingsun@ahmu.edu.cn

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 R173 R446
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- HTML全文浏览量: 62
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- 被引次数: 0
出版历程
- 收稿日期: 2022-05-27
- 修回日期: 2022-09-14
- 网络出版日期: 2022-11-30
- 刊出日期: 2022-11-25

Association of early life adversity with allostatic load in girls with precocious puberty

WANG Ya¹,
LI Jing²,
YUAN Jingyi²,
ZHANG Gong¹,
LI Ting¹,
XU Qi¹,
ZHOU Yan¹,
SUN Ying^{2, 3
, ,}

1.
Department of Child Health, Anhui Provinal Children's Hospital, Hefei (230032), China

摘要

摘要: 目的探讨性早熟女童早期成长逆境(early life adversity, ELA)与非稳态负荷(allostatic load, AL)的关联，为早期识别性早熟女童中具有ELA相关健康风险的个体提供依据。方法于2019年9月至2021年9月，在安徽省儿童医院儿童保健科门诊招募150名性早熟女童，采用父母问卷和儿童访谈收集基本信息和早期成长逆境经历。采集血样150份，使用4个生理系统状态的13种血液指标检测非稳态负荷相关指标。采用多元线性回归分析早期成长逆境经历与AL评分的关联。结果父母受教育程度低与AL总分呈正相关(β=1.02，95%CI=0.21~1.83，P=0.01);父母离婚与心血管AL评分呈正相关(β=0.65，95%CI=0.13~1.17，P=0.01)，同伴欺凌与AL总分呈负相关(β=-0.89，95%CI=-1.64~-0.14，P=0.02)。相比于无ELA经历的性早熟女童，经历过1种ELA经历的性早熟女童AL总分以及代谢系统AL评分分别增加0.75(95%CI=0.04~1.47，P=0.04)和0.67(95%CI=0.16~1.18，P=0.01)。结论性早熟女童早期成长逆境暴露与生理系统损耗存在关联，应重点关注报告同伴欺凌、父母受教育水平低和父母离婚的个体。
- 青春期，早熟 /
- 生活变动事件 /
- 精神卫生 /
- 回归分析 /
- 儿童 /
- 女(雌)性
Abstract: Objective To explore the relationship between early life adversity (ELA) and allostatic load (AL) in girls with precocious puberty, to provide a theoretical basis for early identification of girls at risk of ELA-related disease. Methods From September 2019 to September 2021, 150 girls with precocious puberty were recruited in the department of child health of Anhui Provinal Children's Hospital. Parents' questionnaires and child interviews were used to collect basic information and early growth adversity experiences. Among 150 blood samples were collected, and 13 biomarkers representing 4 regulatory systems were used to detect unsteady load related indexes. Multivariate linear regression was used to analyze the correlation between early growth adversity experience and AL scores. Results The low education level of parents was positively correlated with the total score of AL(β=1.02, 95%CI=0.21-1.83, P=0.01). The divorce of parents was positively correlated with cardiovascular AL score(β=0.65, 95%CI=0.13-1.17, P=0.01). Peer bullying was negatively correlated with the total score of AL(β=-0.89, 95%CI=-1.64--0.14, P=0.02). Compared with girls with precocious puberty without ELA experience, the total AL score and metabolic system AL score of precocious girls who experienced one kind of ELA increased by 0.75(95%CI=0.04-1.47, P=0.04) and 0.67(95%CI=0.16-1.18, P=0.01). Conclusion Early-life adversity and physiological wear-and-tear are correlated in girls with precocious puberty. These findings suggest that the effects of early-life adversity might be remediated with interventions that target parental education, divorce and peer bullying.
- Puberty, precocious /
- Life change events /
- Mental health /
- Regression analysis /
- Child /
- Female
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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表 1 性早熟女童累积ELA与AL关联的多元线性回归模型(n=150)

Table 1. Multiple linear regression model of cumulative ELA and allostatic load(n=150)

早期成长逆境	ELA暴露种数	AL总分		免疫系统		心血管系统		代谢系统		肾脏系统
早期成长逆境	ELA暴露种数	β值(β值95%CI)	P值	β值(β值95%CI)	P值	β值(β值95%CI)	P值	β值(β值95%CI)	P值	β值(β值95%CI)	P值
模型1	1	0.74(0.09~1.40)	0.03	-0.00(-0.16~0.15)	0.96	0.20(-0.13~0.52)	0.24	0.56(0.09~1.03)	0.02	-0.00(-0.26~0.25)	0.98
	≥2	0.48(-0.19~1.16)	0.16	-0.14(-0.30~0.02)	0.10	0.24(-0.10~0.57)	0.16	0.27(-0.22~0.75)	0.28	0.12(-0.14~0.38)	0.37
模型2	1	0.75(0.04~1.47)	0.04	-0.03(-0.21~0.15)	0.75	0.12(-0.23~0.47)	0.49	0.67(0.16~1.18)	0.01	-0.01(-0.28~0.27)	0.95
	≥2	0.61(-0.14~1.36)	0.11	-0.15(-0.34~0.03)	0.11	0.32(-0.05~0.68)	0.09	0.39(-0.15~0.92)	0.16	0.06(-0.23~0.35)	0.68
注：模型1未调整协变量;模型2调整年龄、母亲年龄、父亲年龄、体力活动、视屏时间、睡眠时长、出生方式、SDQ总分、自感压力、母亲月经初潮年龄等协变量。模型1，2均以ELA暴露种数=0为参照组。

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参考文献(51)

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