童年期抑郁情绪发展的异质性与可预测性:2年追踪研究

以儿童抑郁量表为研究工具,对小学3到4年级771名儿童进行了2年的追踪研究。采用潜类别增长模型和终端结局潜发展模型,分别考察了童年期儿童抑郁情绪发展的亚群组类型,以及儿童抑郁情绪的发展特征对观察期结束时抑郁情绪的预测作用。结果表明：（1）童年期儿童的抑郁情绪发展呈现出三种不同的亚类型,即抑郁高风险组、抑郁低风险组和抑郁自愈组,各类型组人数比例分别为9.6%、53.4%和36.8%;（2）童年期儿童抑郁情绪的初始水平及其发展变化率均可以显著预测观察期结束时的抑郁情绪状况。童年期儿童抑郁情绪的早期监测工作有着重要的实践意义。     

儿童抑郁水平与学业成绩的发展轨迹：基于平行潜变量增长模型

采用自我报告和教师评价对535名小学3～4年级儿童抑郁水平与学业成绩的发展状况进行了三次追踪,通过交叉滞后回归分析和平行潜变量增长模型,考察抑郁水平与学业成绩的发展轨迹及其之间的相互作用。结果发现:(1)儿童抑郁水平和学业成绩在三年中都较为稳定,三年中上一年抑郁水平可以负向预测下一年的学业成绩,反之则不能;(2)儿童学业成绩的初始水平可以负向预测抑郁水平的发展速度。研究表明:较高的学业成绩可能是抑郁水平发展过程中的保护因素,为儿童情绪健康的研究提供了新的实证依据。     

受欺负对抑郁情绪的影响:悲伤、愤怒反刍的中介作用及性别差异

为探究受欺负对于个体抑郁情绪的影响,以及反刍这一认知因素在其中的作用与性别差异,采用受欺负问卷、儿童应对方式问卷中的悲伤反刍分量表、愤怒反刍问卷、儿童抑郁量表对2582名初中二年级学生（男生1328人,女生1254人;平均年龄13.95岁,SD=0.60）进行问卷调查。结果发现：（1）受欺负与悲伤反刍、愤怒反刍、抑郁情绪均呈显著正相关;（2）受欺负、悲伤反刍、愤怒反刍均可显著正向预测个体的抑郁情绪,且悲伤反刍和愤怒反刍在受欺负和抑郁情绪的关系中发挥部分中介作用;（3）该模型存在性别差异。女生悲伤反刍对抑郁情绪的预测作用显著大于男生。研究从悲伤反刍和愤怒反刍的角度揭示了受欺负对青少年抑郁情绪的作用机制,为从认知水平上干预青少年心理健康问题提供了参考。     

童年期儿童应对方式发展的成因:特质论还是情境论？

为了探讨童年期儿童应对方式发展的成因,本研究以应对方式问卷和心理素质量表为研究工具,对355名小学三年级学生进行了2年追踪调查。考察了不同应对方式在学业困难情境和同伴冲突情境下的发展轨迹,以及特质性因素心理素质对于不同应对方式发展的影响。结果表明：（1）童年期儿童的积极应对方式在学业困难和同伴冲突情境中有着不同的发展轨迹,而消极应对方式在学业和人际情境中有着相同的发展轨迹。（2）特质因素心理素质在不同的时间均可以显著预测童年期儿童的积极或消极应对方式。这说明童年期儿童应对方式的发展是情境因素和特质因素共同作用的结果。     

童年中期身体侵害、关系侵害与儿童的情绪适应

采用整群抽样法选取2603名小学儿童（平均年龄9.05 ± 0.53岁）作为被试,考察童年中期同伴侵害现象的基本特点,以及同伴侵害与情绪适应（孤独感、社交焦虑和抑郁）的关系。结果发现：（1）在性别差异方面,男生的身体侵害与关系侵害水平均显著高于女生,与身体侵害相比,关系侵害的性别差异程度较小。在同伴侵害的类型特点方面,儿童遭受身体侵害的水平显著高于关系侵害。（2）身体侵害、关系侵害与儿童的各情绪适应指标显著正相关,身体侵害和关系侵害能同时预测儿童的情绪适应不良;并且与身体侵害相比,关系侵害对情绪适应的影响更大。（3）身体侵害与社交焦虑的关系表现出性别差异,即身体侵害能预测女生的社交焦虑,而对男生的社交焦虑不存在预测作用;但同伴侵害与孤独感、抑郁的关系不受性别的调节。总体而言,有同伴侵害经历的男生和女生具有相似的情绪适应问题。     

老年抑郁个体注意偏向的发生阶段

本研究以老年抑郁量表、自评抑郁量表和汉密顿抑郁量表为工具筛选出老年抑郁个体和老年正常对照组为研究对象,通过空间线索化范式,以及分离的情绪Stroop范式考察了刺激呈现时间、线索呈现条件对老年抑郁个体注意偏向的影响,并探讨了老年抑郁个体注意偏向的发生阶段。研究结果表明：（1）在空间线索任务中,当刺激呈现时间为250ms或500ms时,老年抑郁组与老年正常组的返回抑制效应在各种情绪刺激下均无显著差异（P>0.05）,即老年抑郁个体没有呈现出对任何情绪刺激类型的注意偏向现象;当刺激呈现时间为750ms或1000ms时,老年抑郁组的返回抑制效应在不同情绪刺激条件下差异显著,F(2, 66)=3.22,P=0.046,而老年正常组则不存在返回抑制效应在情绪刺激类型上的差异（P>0.05）,提示老年抑郁组对不同情绪类型的刺激注意返回抑制能力不同;进一步检验得知：返回抑制效应在悲伤条件下,存在组间差异,分别是F(1, 33)=10.03,P=0.003;F(1, 33)=18.21,P=0.000,即老年抑郁组的返回抑制效应弱于老年正常组。（2）在Stroop实验中,老年抑郁组在单中性、双中性与单悲伤面孔、中性悲伤面孔、双悲伤面孔线索类型下的反应时差异显著;且当线索类型为单悲伤面孔、中性悲伤面孔、双悲伤面孔时,老年抑郁组与老年正常组的反应时差异均显著,即老年抑郁组的反应时明显长于老年正常组,F(1, 41) = 5.37,P=0.026;F(1, 41) = 7.08,P=0.011;F(1, 41) = 7.28,P=0.010;而当线索类型为单中性和双中性面孔时,老年抑郁组与老年正常组的反应时差异不显著（P>0.05）;提示抑郁组可能在自动化注意选择分配期存在注意偏向。研究认为,老年抑郁个体的注意偏向可能发生在注意初始分配阶段和解释阶段,且受加工深度的影响。在刺激呈现时间较长的条件下,注意偏向的效应更明显。     

儿童最早记忆特征的初步研究

为研究童年期遗忘,本研究采用简单最早记忆法考察了60名中国城镇独生最早记忆特征及各特征之间的关系,并在记忆情绪上加入了道德情绪和混合情绪的测查。结果发现,小学四年级学生和初中二年级学生的最早记忆各特征均不存在差异,性别差异也不显著。道德情绪和混合情绪在最早记忆中出现率分别为53.7%和41.7%。结果表明,中国城镇独生儿童的童年期遗忘在9岁时已变得和成人十分相似;情绪理解对早期记忆的长久保持起着关键作用。     

母亲元情绪理念与儿童情绪调节能力发展的关系：母亲情绪调节的中介作用

以540名小学一、三、五年级儿童的母亲为对象,采用回归分析和路径分析技术,考察了母亲元情绪理念及其情绪调节对儿童情绪调节能力发展的预测作用及其机制。结果表明：（1）母亲情绪教导和情绪紊乱理念对儿童情绪稳定性的发展具有直接预测作用,且以其高冲动性为中介对儿童情绪稳定性的发展具有间接预测作用;（2）母亲情绪教导理念对儿童情绪调节性的发展具有直接预测作用,且以其情绪调节策略缺乏为中介对儿童情绪调节性的发展具有间接预测作用。因此,母亲情绪教导理念有助于其不良情绪的控制和更加灵活多样的情绪调节策略,而对自身不良情绪的有效控制和更灵活的情绪应对策略,将有助于促进其孩子情绪调节能力的发展。     

青少年早期冲动性的发展轨迹:界定亚群组及其影响因素

以发展的整体互动论和生态系统理论为基础,考察青少年早期冲动性的发展轨迹及其影响因素。采用Barratt冲动性量表、家庭环境量表、青少年感知校园氛围问卷对天津市某中学210名初中生进行了为期1年的3次追踪调查,使用潜变量增长模型、潜类别增长模型、多元Logistic回归进行数据分析。结果发现:(1)青少年早期冲动性的发展呈线性增长趋势,并可分为三个亚群组:恒低组(16.67%)、恒高组(41.43%)和居中升高组(41.91%);(2)家庭环境亲密度和教师支持对亚群组有显著预测作用。本研究揭示了在青少年早期冲动性的动态变化性、个体差异性及其相关影响因素。     

大学新生主观社会地位与抑郁的变化轨迹:一项多元潜变量增长模型分析

采用整群取样的方法在全国按东部、中部和西部共抽取了7所高校的1983名新生,进行了历时四个月的四次追踪测试。使用潜变量增长模型建模,分别考察了新生主观社会地位和抑郁的变化轨迹,并就两者间的变化关系进行了分析。结果发现新生入学后四个月内：（1）主观社会地位呈阶段化线性增长,其起始水平和第一阶段的增长速度存在显著个体间差异;（2）抑郁呈二次方增长,其起始水平和增长速度存在显著个体间差异;（3）入学后主观社会地位的下滑速度能有效预测新生抑郁水平的上升速度。研究基于情绪压制理论,对主观社会地位与抑郁间的变化关系进行了分析。     

Exposure to the Chinese famine in early life and depression in adulthood

We aimed to investigate whether exposure to the Chinese famine (1959–1961) in early life was associated with depression in adulthood. We included 17,505 participants from the China health and retirement longitudinal study (CHARLS). Participants were classified into indirect and direct exposure groups. And the directly exposure groups including prenatal, childhood, adolescence/adult exposure groups. Depression was diagnosed by Center for Epidemiological Studies Depression Scale-10 (CES-D) score. Multivariate logistic regression model was used to calculate the odd ratios (ORs) and 95% confidence intervals (CIs) of depression. In women, prenatal, childhood, adolescence/adult exposure groups had higher depression risk than indirect exposure group (OR = 1.46, 1.40, and 1.67, respectively). However, there was no significant association between famine exposure and depression among men. Exposure to famine during prenatal (OR: 1.48; 95% CI: 1.07–2.06), childhood (OR: 1.47; 95% CI: 1.13–1.91), and adolescence/adult (OR: 1.63; 95% CI: 1.24–2.15) period were associated with depression among subjects living in rural, but not those living in urban. Exposure to the Chinese famine in early life had sex and area-specific associations with depression.     

Overgeneral autobiographical memory predicts changes in depression in a community sample

This study investigated whether overgeneral autobiographical memory (OGM) predicts the course of symptoms of depression and anxiety in a community sample, after 5, 6, 12 and 18 months. Participants (N = 156) completed the Autobiographical Memory Test and the Depression Anxiety Stress Scales-21 (DASS-21) at baseline and were subsequently reassessed using the DASS-21 at four time points over a period of 18 months. Using latent growth curve modelling, we found that OGM was associated with a linear increase in depression. We were unable to detect changes over time in anxiety. OGM may be an important marker to identify people at risk for depression in the future, but more research is needed with anxiety.     

Developmental patterns of emotion regulation in toddlerhood: Examining predictors of change and long‐term resilience

Emotion regulation is critical for optimal functioning across a wide range of domains and may be even more important for individuals in high‐risk environments. While evidence suggests that childhood is generally a period of emotion regulation growth and development, research is needed to examine factors that may contribute to deviations from a typical trajectory. In a prospective study of 1,905 children, latent class growth analysis (LCGA) was used to identify trajectory groups of emotion regulation across toddlerhood (age 14–36 months), examine predictors of those trajectory groups from child temperament, parenting behaviors, and environmental risk, and explore predictions of resilience in 5th grade from the identified groups. LGCA supported a three‐class model, with a Stable Incline group, a Decline group, and a Catch‐Up group. Child negative emotionality, positive and negative parenting, and environmental risk predicted group membership. These trajectory groups in toddlerhood were predictive of child resilient functioning in the 5th grade. Our findings highlight the importance of utilizing developmental models of emotion regulation and provide implications for prevention and early intervention services to enhance emotion regulation development in early childhood.     

童年中晚期抑郁的发展及其与问题行为的并发:一项两年追踪研究

采用儿童抑郁量表和问题行为量表对771名小学3、4年级儿童进行了2年追踪调查,考察了童年中晚期抑郁的发展轨迹及其性别差异,并探讨了童年期中晚期抑郁与问题行为的并发。结果表明:(1)童年中晚期抑郁的发展轨迹为非线性曲线,其随着时间的推移而逐步下降,但在童年晚期阶段,呈现出逐步上升趋势;(2)童年中晚期抑郁的发展轨迹,在初始水平和发展速度上均不存在显著的性别差异;(3)童年中晚期抑郁的发展,常伴随着问题行为的并发。     

儿童期情感忽视对大学生抑郁的影响:控制感与情绪调节自我效能感的链式中介作用

为探讨儿童期情感忽视与大学生抑郁的关系,以及控制感和情绪调节自我效能感在其中的中介作用,采用儿童期创伤问卷、控制感量表、情绪调节自我效能感量表和贝克抑郁量表(第2版),对重庆市两所高校共837名大学生进行调查。结果显示:(1)儿童期情感忽视显著正向预测大学生抑郁;(2)控制感、情绪调节自我效能感在儿童期情感忽视与抑郁之间起独立中介作用;(3)控制感与情绪调节自我效能感在儿童期情感忽视与抑郁之间起链式中介作用,且情绪调节自我效能感各维度的效应皆成立。本研究考察了儿童期情感忽视对抑郁的影响及其作用机制,为家庭教养方式的改善及大学生抑郁问题的预防与干预提供了实践启示。     

Reciprocal Associations Between Depressive Symptoms and Disordered Eating Among Adolescent Girls and Boys: A Multiwave,Prospective Study

Symptoms of depression and eating disorders increase during adolescence, particularly among girls, and they tend to co-occur. Despite this evidence, there is meager research on whether depression increases the risk of future eating pathology, or vice versa, and we do not know whether these processes are different for adolescent girls and boys. Accordingly, this study explored the prospective reciprocal associations between depressive symptoms and disordered eating at different time points from preadolescence to mid-adolescence and tested the moderator effect of gender on these associations. A community-based sample of Spanish youth (N?=?942, 49 % female) was assessed at ages of approximately 10-11 (T1), 12-13 (T2), 14-15 (T3), and 16-17 (T4) years. The bidirectional relationships between depressive symptoms and disordered eating were estimated in an autoregressive cross-lagged model with latent variables. A unidirectional, age-specific association between depressive symptoms at T1 and disordered eating at T2 was found. No other significant cross-lagged effect emerged, but the stability of the constructs was considerable. Gender did not moderate any of the links examined. Regardless of gender, the transition from childhood to adolescence appears to be a key period when depressive symptoms foster the development of disordered eating. These findings suggest that early prevention and treatment of depression targeting both girls and boys may result in lower levels of depressive symptoms and disordered eating in adolescence.     

Latent Growth Models with Floors,Ceilings, and Random Knots

In longitudinal/developmental studies, individual growth trajectories are sometimes bounded by a floor at the beginning of the observation period and/or a ceiling toward the end of the observation period (or vice versa), resulting in inherently nonlinear growth patterns. If the trajectories between the floor and ceiling are approximately linear, such longitudinal growth patterns can be described with a linear piecewise (spline) model in which segments join at knots. In these scenarios, it may be of specific interest for researchers to examine the timing when transition occurs, and in some occasions also to examine the levels of the floors and/or ceilings if they are not known and fixed. In the current study, we propose a reparameterized piecewise latent growth curve model so that a direct estimation of the random knots (and, if needed, a direct estimation of random floors and ceilings) is possible. We derive the model reparameterization using a 4-step structured latent curve modeling approach. We provide two illustrative examples to demonstrate how the proposed reparameterized models can be fitted to longitudinal growth data using the popular SEM software Mplus and we supply the full coding for applied researchers’ reference.     

Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial

This article uses a general latent variable framework to study a series of models for nonignorable missingness due to dropout. Nonignorable missing data modeling acknowledges that missingness may depend not only on covariates and observed outcomes at previous time points as with the standard missing at random assumption, but also on latent variables such as values that would have been observed (missing outcomes), developmental trends (growth factors), and qualitatively different types of development (latent trajectory classes). These alternative predictors of missing data can be explored in a general latent variable framework with the Mplus program. A flexible new model uses an extended pattern-mixture approach where missingness is a function of latent dropout classes in combination with growth mixture modeling. A new selection model not only allows an influence of the outcomes on missingness but allows this influence to vary across classes. Model selection is discussed. The missing data models are applied to longitudinal data from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, the largest antidepressant clinical trial in the United States to date. Despite the importance of this trial, STAR*D growth model analyses using nonignorable missing data techniques have not been explored until now. The STAR*D data are shown to feature distinct trajectory classes, including a low class corresponding to substantial improvement in depression, a minority class with a U-shaped curve corresponding to transient improvement, and a high class corresponding to no improvement. The analyses provide a new way to assess drug efficiency in the presence of dropout.