Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study.
Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study.
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DOI：
10.3389/fendo.2020.549928
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发表时间：
2020
影响因子：
5.2
通讯作者：
Sowell ER
中科院分区：
文献类型：
--
作者：
Herting MM;Uban KA;Gonzalez MR;Baker FC;Kan EC;Thompson WK;Granger DA;Albaugh MD;Anokhin AP;Bagot KS;Banich MT;Barch DM;Baskin-Sommers A;Breslin FJ;Casey BJ;Chaarani B;Chang L;Clark DB;Cloak CC;Constable RT;Cottler LB;Dagher RK;Dapretto M;Dick AS;Dosenbach N;Dowling GJ;Dumas JA;Edwards S;Ernst T;Fair DA;Feldstein-Ewing SW;Freedman EG;Fuemmeler BF;Garavan H;Gee DG;Giedd JN;Glaser PEA;Goldstone A;Gray KM;Hawes SW;Heath AC;Heitzeg MM;Hewitt JK;Heyser CJ;Hoffman EA;Huber RS;Huestis MA;Hyde LW;Infante MA;Ivanova MY;Jacobus J;Jernigan TL;Karcher NR;Laird AR;LeBlanc KH;Lisdahl K;Luciana M;Luna B;Maes HH;Marshall AT;Mason MJ;McGlade EC;Morris AS;Nagel BJ;Neigh GN;Palmer CE;Paulus MP;Potter AS;Puttler LI;Rajapakse N;Rapuano K;Reeves G;Renshaw PF;Schirda C;Sher KJ;Sheth C;Shilling PD;Squeglia LM;Sutherland MT;Tapert SF;Tomko RL;Yurgelun-Todd D;Wade NE;Weiss SRB;Zucker RA;Sowell ER
研究9-10岁儿童青春期成熟过程中感知到的身体特征和激素之间的个体差异，以此作为社会人口学特征的函数。青春期的横断面指标来自青少年大脑认知发展(ABCD)研究的基线评估--9-10岁儿童(n=11,875)的多地点样本--并包括通过青春期发育量表(PDS)和儿童唾液激素水平(全部为脱氢表雄酮和睾酮，以及女性为雌二醇)感知的身体特征。多水平模型研究了社会人口学指标、身体特征和激素水平之间的关系。采用群体因素分析(GFA)来提取青春期成熟的潜在变量，该变量综合了感知的身体特征和激素水平这两个指标。PDS总分显示，青春期前男性(70%)多于女性(31%)。感知到的身体特征和激素水平与儿童的体重状况和收入显著相关，因此，在超重/肥胖或来自低收入家庭的儿童中观察到更成熟的分数。GFA的结果确定了两个潜在的因素，描述了女性和男性在青春期成熟方面的个体差异，因素1由较高的激素水平驱动，因素2由感觉到的身体成熟驱动。潜在因子1得分(荷尔蒙)和潜在因子2得分(感觉到的身体成熟)之间的对应关系表明，在这个庞大的青少年样本中，激素和伴随的身体特征之间存在同步和不同步的关系。在9-10岁的大样本中，社会人口学测量与客观荷尔蒙和自我报告的青春期成熟体格测量有关。青春期成熟的潜在变量描述了感知的身体变化和标志性成熟的激素水平之间的复杂相互作用，未来的研究可以研究与大脑成熟轨迹、对物质使用的风险/弹性以及其他心理健康结果的关系。
To examine individual variability between perceived physical features and hormones of pubertal maturation in 9–10-year-old children as a function of sociodemographic characteristics. Cross-sectional metrics of puberty were utilized from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study—a multi-site sample of 9–10 year-olds (n = 11,875)—and included perceived physical features via the pubertal development scale (PDS) and child salivary hormone levels (dehydroepiandrosterone and testosterone in all, and estradiol in females). Multi-level models examined the relationships among sociodemographic measures, physical features, and hormone levels. A group factor analysis (GFA) was implemented to extract latent variables of pubertal maturation that integrated both measures of perceived physical features and hormone levels. PDS summary scores indicated more males (70%) than females (31%) were prepubertal. Perceived physical features and hormone levels were significantly associated with child’s weight status and income, such that more mature scores were observed among children that were overweight/obese or from households with low-income. Results from the GFA identified two latent factors that described individual differences in pubertal maturation among both females and males, with factor 1 driven by higher hormone levels, and factor 2 driven by perceived physical maturation. The correspondence between latent factor 1 scores (hormones) and latent factor 2 scores (perceived physical maturation) revealed synchronous and asynchronous relationships between hormones and concomitant physical features in this large young adolescent sample. Sociodemographic measures were associated with both objective hormone and self-report physical measures of pubertal maturation in a large, diverse sample of 9–10 year-olds. The latent variables of pubertal maturation described a complex interplay between perceived physical changes and hormone levels that hallmark sexual maturation, which future studies can examine in relation to trajectories of brain maturation, risk/resilience to substance use, and other mental health outcomes.
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影响因子：
3.6
作者：
Ge, XJ;Conger, RD;Elder, GH
通讯作者：
Elder, GH
影响因子：
5.3
作者：
Braams, Barbara R.;van Duijvenvoorde, Anna C. K.;Crone, Eveline A.
通讯作者：
Crone, Eveline A.
影响因子：
4.7
作者：
Barch DM;Albaugh MD;Avenevoli S;Chang L;Clark DB;Glantz MD;Hudziak JJ;Jernigan TL;Tapert SF;Yurgelun-Todd D;Alia-Klein N;Potter AS;Paulus MP;Prouty D;Zucker RA;Sher KJ
通讯作者：
Sher KJ
影响因子：
3.6
作者：
Deardorff, Julianna;Hoyt, Lindsay T.;Shirtcliff, Elizabeth A.
通讯作者：
Shirtcliff, Elizabeth A.
影响因子：
2.4
作者：
Cao, Bingyan;Gong, Chunxiu;Wei, Liya
通讯作者：
Wei, Liya