Nishimura Tomoko, Kato Takeo, Okumura Akemi, Harada Taeko, Iwabuchi Toshiki, Rahman Md Shafiur, Hirota Tomoya, Takahashi Michio, Adachi Masaki, Kuwabara Hitoshi, Takagai Shu, Nomura Yoko, Takahashi Nagahide, Senju Atsushi, Tsuchiya Kenji J
Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.
United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Front Psychiatry. 2022 Mar 23;13:817383. doi: 10.3389/fpsyt.2022.817383. eCollection 2022.
Little is known about the trajectory patterns and sex differences in adaptive behaviors in the general population. We examined the trajectory classes of adaptive behaviors using a representative sample and examined whether the class structure and trajectory patterns differed between females and males. We further explored sex differences in neurodevelopmental traits in each latent class. Participants ( = 994) were children in the Hamamatsu Birth Cohort for Mothers and Children (HBC Study)-a prospective birth cohort study. Adaptive behaviors in each domain of communication, daily living skills, and socialization were evaluated at five time points when participants were 2.7, 3.5, 4.5, 6, and 9 years old using the Vineland Adaptive Behavior Scales-Second Edition. Parallel process multigroup latent class growth analysis extracted sex-specific trajectory classes. Neurodevelopmental traits of children at age 9, autistic traits, attention deficit hyperactivity disorder (ADHD) traits, and cognitive ability were examined for females and males in each identified class. A 4-class model demonstrated the best fit. Moreover, a 4-class model that allowed for differences in class probabilities and means of growth parameters between females and males provided a better fit than a model assuming no sex differences. In the communication domain, females scored higher than their male counterparts in all four classes. In the daily living skills and socialization domains, the two higher adaptive classes (Class 1: females, 18.6%; males, 17.8%; Class 2: females, 48.8%; males, 49.8%) had similar trajectories for males and females, whereas in the two lower adaptive behavior classes (Class 3: females, 27.5%; males, 29.4%; Class 4: females, 5.1%; males, 3.0%), females had higher adaptive scores than their male counterparts. In Class 4, females were more likely to have autistic and ADHD traits exceeding the cutoffs, while males were more likely to have below-average IQ. Different trajectories in females and males suggest that adaptive skills may require adjustment based on the sex of the child, when standardizing scores, in order to achieve better early detection of skill impairment.
对于一般人群中适应性行为的轨迹模式和性别差异,我们了解得很少。我们使用一个具有代表性的样本研究了适应性行为的轨迹类别,并研究了女性和男性之间的类别结构和轨迹模式是否存在差异。我们进一步探讨了每个潜在类别中神经发育特征的性别差异。参与者(n = 994)是浜松母婴队列研究(HBC研究)中的儿童——一项前瞻性出生队列研究。当参与者分别为2.7岁、3.5岁、4.5岁、6岁和9岁时,使用《文兰适应性行为量表第二版》在五个时间点评估了沟通、日常生活技能和社交等各领域的适应性行为。并行过程多组潜在类别增长分析提取了特定性别的轨迹类别。对每个已识别类别中的女性和男性,研究了其9岁时的神经发育特征、自闭症特征、注意力缺陷多动障碍(ADHD)特征和认知能力。一个4类别模型显示出最佳拟合。此外,一个允许女性和男性在类别概率和增长参数均值上存在差异的4类别模型,比一个假设不存在性别差异的模型拟合得更好。在沟通领域,女性在所有四个类别中的得分均高于男性。在日常生活技能和社交领域,两个较高适应性类别(第1类:女性,18.6%;男性,17.8%;第2类:女性,48.8%;男性,49.8%)中,男性和女性的轨迹相似,而在两个较低适应性行为类别(第3类:女性,27.5%;男性,29.4%;第4类:女性,5.1%;男性,3.0%)中,女性的适应性得分高于男性。在第4类中,女性更有可能具有超过临界值的自闭症和ADHD特征,而男性更有可能具有低于平均水平的智商。女性和男性的不同轨迹表明,在对分数进行标准化时,为了更好地早期发现技能损伤,适应性技能可能需要根据儿童的性别进行调整。