心理学报 ›› 2023, Vol. 55 ›› Issue (6): 978-993.doi: 10.3724/SP.J.1041.2023.00978
收稿日期:
2021-11-25
发布日期:
2023-03-06
出版日期:
2023-06-25
通讯作者:
林丹华
E-mail:danhualin@bnu.edu.cn
基金资助:
XIAO Jiale1, SHEN Zijiao1,2, LI Xiaoyan1, LIN Danhua1()
Received:
2021-11-25
Online:
2023-03-06
Published:
2023-06-25
摘要:
采用纵向设计, 对1580名四年级、初一和高一学生进行连续4次追踪测量, 考察同伴侵害在第1次至第3次的变化轨迹及其群体异质性, 并探讨同伴侵害的初始水平和变化速度如何协同影响第4次的抑郁情绪和外化问题。结果表明: (1)同伴侵害的变化轨迹呈现出线性递减的特点, 且递减趋势因不同的流动状态呈现异质性的特点。具体而言, 流动儿童、留守儿童和农村儿童在同伴侵害的初始水平上均高于城市儿童, 且流动儿童和留守儿童同伴侵害的下降速度比城市儿童更快; (2)在控制人口学因素和基线水平的抑郁情绪和外化问题后, 同伴侵害的初始水平和变化速度对抑郁情绪的影响以压力敏感的模式发挥作用, 在外化问题中以压力增强的方式发挥作用。可见, 同伴侵害的初始水平和变化速度对抑郁情绪和外化问题的影响具有独特性, 未来预防/干预研究需要因不同的问题行为制定针对性方案, 以有效地提高干预效果。
中图分类号:
肖家乐, 申子姣, 李晓燕, 林丹华. (2023). 同伴侵害变化轨迹及其与抑郁情绪和外化问题的关系:共同增强还是风险易感. 心理学报, 55(6), 978-993.
XIAO Jiale, SHEN Zijiao, LI Xiaoyan, LIN Danhua. (2023). Peer victimization trajectories and their relationships with depressive symptoms and externalizing problems: Risk enhancement or risk susceptibility. Acta Psychologica Sinica, 55(6), 978-993.
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1.性别a | — | ||||||||||||
2.年级 | −0.00 | — | |||||||||||
3.流动儿童a | 0.01 | −0.09*** | — | ||||||||||
4.留守儿童a | −0.06* | 0.23*** | −0.26*** | — | |||||||||
5.农村普通儿童a | −0.01 | 0.27*** | −0.23*** | −0.17*** | — | ||||||||
6.主观社会经济地位 | 0.02 | −0.33*** | −0.02 | −0.17*** | −0.20*** | — | |||||||
7. T1同伴侵害 | −0.17*** | −0.07** | 0.02 | 0.12*** | 0.02 | −0.08** | — | ||||||
8. T2同伴侵害 | −0.14*** | −0.12*** | −0.03 | 0.09*** | 0.01 | −0.04 | 0.45*** | — | |||||
9. T3同伴侵害 | −0.14*** | −0.07** | −0.02 | 0.09*** | 0.01 | −0.04 | 0.42*** | 0.55*** | — | ||||
10. T1抑郁情绪 | −0.06* | 0.16*** | 0.04 | 0.13*** | 0.10*** | −0.14*** | 0.49*** | 0.29*** | 0.26*** | — | |||
11. T4抑郁情绪 | 0.04 | 0.21*** | 0.01 | 0.05* | 0.06* | −0.13*** | 0.23*** | 0.30*** | 0.33*** | 0.38*** | — | ||
12. T1外化问题 | −0.14*** | 0.07** | 0.03 | 0.06* | 0.03 | −0.09*** | 0.41*** | 0.30*** | 0.26*** | 0.37*** | 0.20*** | — | |
13. T4外化问题 | −0.07** | 0.07** | 0.01 | 0.02 | 0.06* | −0.06* | 0.24*** | 0.30*** | 0.37*** | 0.24*** | 0.49*** | 0.32*** | — |
M | 0.45 | 3.42 | 0.26 | 0.17 | 0.13 | 6.04 | 1.58 | 1.53 | 1.48 | 1.87 | 1.87 | 1.49 | 1.41 |
SD | 0.50 | 2.38 | 0.44 | 0.37 | 0.34 | 1.93 | 0.67 | 0.62 | 0.62 | 0.60 | 0.64 | 0.43 | 0.43 |
表1 各变量的描述统计(N = 1580)
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1.性别a | — | ||||||||||||
2.年级 | −0.00 | — | |||||||||||
3.流动儿童a | 0.01 | −0.09*** | — | ||||||||||
4.留守儿童a | −0.06* | 0.23*** | −0.26*** | — | |||||||||
5.农村普通儿童a | −0.01 | 0.27*** | −0.23*** | −0.17*** | — | ||||||||
6.主观社会经济地位 | 0.02 | −0.33*** | −0.02 | −0.17*** | −0.20*** | — | |||||||
7. T1同伴侵害 | −0.17*** | −0.07** | 0.02 | 0.12*** | 0.02 | −0.08** | — | ||||||
8. T2同伴侵害 | −0.14*** | −0.12*** | −0.03 | 0.09*** | 0.01 | −0.04 | 0.45*** | — | |||||
9. T3同伴侵害 | −0.14*** | −0.07** | −0.02 | 0.09*** | 0.01 | −0.04 | 0.42*** | 0.55*** | — | ||||
10. T1抑郁情绪 | −0.06* | 0.16*** | 0.04 | 0.13*** | 0.10*** | −0.14*** | 0.49*** | 0.29*** | 0.26*** | — | |||
11. T4抑郁情绪 | 0.04 | 0.21*** | 0.01 | 0.05* | 0.06* | −0.13*** | 0.23*** | 0.30*** | 0.33*** | 0.38*** | — | ||
12. T1外化问题 | −0.14*** | 0.07** | 0.03 | 0.06* | 0.03 | −0.09*** | 0.41*** | 0.30*** | 0.26*** | 0.37*** | 0.20*** | — | |
13. T4外化问题 | −0.07** | 0.07** | 0.01 | 0.02 | 0.06* | −0.06* | 0.24*** | 0.30*** | 0.37*** | 0.24*** | 0.49*** | 0.32*** | — |
M | 0.45 | 3.42 | 0.26 | 0.17 | 0.13 | 6.04 | 1.58 | 1.53 | 1.48 | 1.87 | 1.87 | 1.49 | 1.41 |
SD | 0.50 | 2.38 | 0.44 | 0.37 | 0.34 | 1.93 | 0.67 | 0.62 | 0.62 | 0.60 | 0.64 | 0.43 | 0.43 |
变量 | 模型 | CFI | RMSEA | SRMR | ΔCFI | ΔRMSEA |
---|---|---|---|---|---|---|
同伴侵害(年级) | 形态等值 | 0.940 | 0.079 | 0.035 | ||
弱等值性 | 0.939 | 0.077 | 0.040 | −0.001 | −0.002 | |
强等值性 | 0.937 | 0.076 | 0.040 | −0.002 | −0.001 | |
严格等值 | 0.917 | 0.084 | 0.062 | −0.020 | 0.008 | |
同伴侵害(类型) | 形态等值 | 0.934 | 0.083 | 0.038 | ||
弱等值性 | 0.933 | 0.081 | 0.046 | −0.001 | −0.002 | |
强等值性 | 0.932 | 0.078 | 0.045 | −0.001 | −0.003 | |
严格等值 | 0.921 | 0.081 | 0.055 | −0.011 | 0.003 | |
同伴侵害(性别) | 形态等值 | 0.943 | 0.076 | 0.035 | ||
弱等值性 | 0.941 | 0.075 | 0.040 | −0.002 | −0.001 | |
强等值性 | 0.938 | 0.075 | 0.039 | −0.003 | 0.000 | |
严格等值 | 0.930 | 0.077 | 0.049 | −0.008 | 0.002 | |
同伴侵害(时间) | 形态等值 | 0.935 | 0.046 | 0.028 | ||
弱等值性 | 0.933 | 0.046 | 0.030 | −0.002 | 0.000 | |
强等值性 | 0.932 | 0.046 | 0.030 | −0.001 | 0.000 | |
严格等值 | 0.927 | 0.047 | 0.033 | −0.005 | 0.001 |
表2 测量等值性检验
变量 | 模型 | CFI | RMSEA | SRMR | ΔCFI | ΔRMSEA |
---|---|---|---|---|---|---|
同伴侵害(年级) | 形态等值 | 0.940 | 0.079 | 0.035 | ||
弱等值性 | 0.939 | 0.077 | 0.040 | −0.001 | −0.002 | |
强等值性 | 0.937 | 0.076 | 0.040 | −0.002 | −0.001 | |
严格等值 | 0.917 | 0.084 | 0.062 | −0.020 | 0.008 | |
同伴侵害(类型) | 形态等值 | 0.934 | 0.083 | 0.038 | ||
弱等值性 | 0.933 | 0.081 | 0.046 | −0.001 | −0.002 | |
强等值性 | 0.932 | 0.078 | 0.045 | −0.001 | −0.003 | |
严格等值 | 0.921 | 0.081 | 0.055 | −0.011 | 0.003 | |
同伴侵害(性别) | 形态等值 | 0.943 | 0.076 | 0.035 | ||
弱等值性 | 0.941 | 0.075 | 0.040 | −0.002 | −0.001 | |
强等值性 | 0.938 | 0.075 | 0.039 | −0.003 | 0.000 | |
严格等值 | 0.930 | 0.077 | 0.049 | −0.008 | 0.002 | |
同伴侵害(时间) | 形态等值 | 0.935 | 0.046 | 0.028 | ||
弱等值性 | 0.933 | 0.046 | 0.030 | −0.002 | 0.000 | |
强等值性 | 0.932 | 0.046 | 0.030 | −0.001 | 0.000 | |
严格等值 | 0.927 | 0.047 | 0.033 | −0.005 | 0.001 |
人口学特征 | 流动儿童 (n = 402) | 留守儿童 (n = 258) | 农村儿童 (n = 205) | 城市儿童 (n = 695) |
---|---|---|---|---|
年龄 (M ± SD) | 12.20 ± 2.31 | 13.78 ± 2.57 | 14.00 ± 2.30 | 11.49 ± 2.23 |
性别 | ||||
男生 | 218 (54.23%) | 158 (61.24%) | 116 (56.59%) | 364 (52.37%) |
女生 | 182 (45.27%) | 100 (38.76%) | 89 (43.41%) | 331 (47.63%) |
其他 | 2 (0.50%) | — | — | — |
父母婚姻状况 | ||||
已婚 | 368 (91.54%) | 217 (84.11%) | 193 (94.15%) | 620 (89.21%) |
其他 | 34 (8.46%) | 41 (15.89%) | 12 (5.85%) | 75 (10.79%) |
父母受教育程度 | ||||
高中以下 | 257 (63.93%) | 183 (70.93%) | 150 (73.17%) | 200 (28.78%) |
高中及以上 | 144 (35.82%) | 56 (21.71%) | 55 (26.83%) | 493 (70.94%) |
其他 | 1 (0.25%) | 19 (7.36%) | — | 2 (0.29%) |
主观社会经济地位 | ||||
中等及以上 | 325 (80.85%) | 172 (66.67%) | 124 (60.49%) | 622 (89.50%) |
中等以下 | 71 (17.66%) | 62 (24.03%) | 80 (39.02%) | 69 (9.93%) |
其他 | 6 (1.49%) | 24 (9.30%) | 1 (0.49%) | 4 (0.58%) |
表S1 四类流动状态儿童的人口学信息
人口学特征 | 流动儿童 (n = 402) | 留守儿童 (n = 258) | 农村儿童 (n = 205) | 城市儿童 (n = 695) |
---|---|---|---|---|
年龄 (M ± SD) | 12.20 ± 2.31 | 13.78 ± 2.57 | 14.00 ± 2.30 | 11.49 ± 2.23 |
性别 | ||||
男生 | 218 (54.23%) | 158 (61.24%) | 116 (56.59%) | 364 (52.37%) |
女生 | 182 (45.27%) | 100 (38.76%) | 89 (43.41%) | 331 (47.63%) |
其他 | 2 (0.50%) | — | — | — |
父母婚姻状况 | ||||
已婚 | 368 (91.54%) | 217 (84.11%) | 193 (94.15%) | 620 (89.21%) |
其他 | 34 (8.46%) | 41 (15.89%) | 12 (5.85%) | 75 (10.79%) |
父母受教育程度 | ||||
高中以下 | 257 (63.93%) | 183 (70.93%) | 150 (73.17%) | 200 (28.78%) |
高中及以上 | 144 (35.82%) | 56 (21.71%) | 55 (26.83%) | 493 (70.94%) |
其他 | 1 (0.25%) | 19 (7.36%) | — | 2 (0.29%) |
主观社会经济地位 | ||||
中等及以上 | 325 (80.85%) | 172 (66.67%) | 124 (60.49%) | 622 (89.50%) |
中等以下 | 71 (17.66%) | 62 (24.03%) | 80 (39.02%) | 69 (9.93%) |
其他 | 6 (1.49%) | 24 (9.30%) | 1 (0.49%) | 4 (0.58%) |
变量 | T1同伴侵害 | T2同伴侵害 | T3同伴侵害 |
---|---|---|---|
总体 | 1.58 (0.67) | 1.53 (0.62) | 1.48 (0.62) |
性别 | |||
男生 | 1.69 (0.73) | 1.61 (0.66) | 1.56 (0.67) |
女生 | 1.45 (0.56) | 1.43 (0.56) | 1.38 (0.54) |
年级 | |||
小学 | 1.60 (0.70) | 1.61 (0.68) | 1.53 (0.64) |
初中 | 1.63 (0.68) | 1.48 (0.60) | 1.47 (0.63) |
高中 | 1.46 (0.56) | 1.44 (0.51) | 1.41 (0.59) |
流动状态 | |||
流动儿童 | 1.60 (0.72) | 1.49 (0.63) | 1.46 (0.59) |
留守儿童 | 1.75 (0.66) | 1.64 (0.59) | 1.61 (0.64) |
农村普通儿童 | 1.61 (0.61) | 1.53 (0.55) | 1.49 (0.59) |
城市儿童 | 1.49 (0.64) | 1.49 (0.63) | 1.44 (0.64) |
表S2 同伴侵害在各个时点的描述性统计
变量 | T1同伴侵害 | T2同伴侵害 | T3同伴侵害 |
---|---|---|---|
总体 | 1.58 (0.67) | 1.53 (0.62) | 1.48 (0.62) |
性别 | |||
男生 | 1.69 (0.73) | 1.61 (0.66) | 1.56 (0.67) |
女生 | 1.45 (0.56) | 1.43 (0.56) | 1.38 (0.54) |
年级 | |||
小学 | 1.60 (0.70) | 1.61 (0.68) | 1.53 (0.64) |
初中 | 1.63 (0.68) | 1.48 (0.60) | 1.47 (0.63) |
高中 | 1.46 (0.56) | 1.44 (0.51) | 1.41 (0.59) |
流动状态 | |||
流动儿童 | 1.60 (0.72) | 1.49 (0.63) | 1.46 (0.59) |
留守儿童 | 1.75 (0.66) | 1.64 (0.59) | 1.61 (0.64) |
农村普通儿童 | 1.61 (0.61) | 1.53 (0.55) | 1.49 (0.59) |
城市儿童 | 1.49 (0.64) | 1.49 (0.63) | 1.44 (0.64) |
模型 | 模型拟合 | 模型比较 | ||||
---|---|---|---|---|---|---|
χ2 | df | 模型 | Δχ2 | Δdf | p | |
流动状态(参照组城市儿童) | ||||||
流动 | ||||||
M1: 自由估计 | 18.09 | 6 | ||||
M2: 仅约束截距等同 | 23.56 | 7 | M2-M1 | 5.49 | 1 | 0.019 |
M3: 仅约束斜率等同 | 23.87 | 7 | M3-M1 | 5.81 | 1 | 0.016 |
M4: 仅约束截距与斜率间相关等同 | 22.46 | 7 | M4-M1 | 4.18 | 1 | 0.041 |
留守 | ||||||
M1: 自由估计 | 5.71 | 6 | ||||
M2: 仅约束截距等同 | 34.72 | 7 | M2-M1 | 29.99 | 1 | < 0.001 |
M3: 仅约束斜率等同 | 10.36 | 7 | M3-M1 | 4.68 | 1 | 0.031 |
M4: 仅约束截距与斜率间相关等同 | 6.36 | 7 | M4-M1 | 0.64 | 1 | 0.425 |
农村 | ||||||
M1: 自由估计 | 7.89 | 6 | ||||
M2: 仅约束截距等同 | 13.41 | 7 | M2-M1 | 5.56 | 1 | 0.018 |
M3: 仅约束斜率等同 | 10.13 | 7 | M3-M1 | 2.24 | 1 | 0.134 |
M4: 仅约束截距与斜率间相关等同 | 7.91 | 7 | M4-M1 | 0.02 | 1 | 0.892 |
性别(男生) | ||||||
M1: 自由估计 | 15.38 | 6 | ||||
M2: 仅约束截距等同 | 66.69 | 7 | M2-M1 | 52.15 | 1 | < 0.001 |
M3: 仅约束斜率等同 | 18.46 | 7 | M3-M1 | 3.09 | 1 | 0.079 |
M4: 仅约束截距与斜率间相关等同 | 23.35 | 7 | M4-M1 | 7.73 | 1 | 0.005 |
年级 | ||||||
小学 vs. 高中 | ||||||
M1: 自由估计 | 37.91 | 6 | ||||
M2: 仅约束截距等同 | 52.64 | 7 | M2-M1 | 14.86 | 1 | < 0.001 |
M3: 仅约束斜率等同 | 38.02 | 7 | M3-M1 | 0.11 | 1 | 0.737 |
M4: 仅约束截距与斜率间相关等同 | 41.48 | 7 | M4-M1 | 3.58 | 1 | 0.059 |
初中 vs. 高中 | ||||||
M1: 自由估计 | 18.99 | 6 | ||||
M2: 仅约束截距等同 | 34.01 | 7 | M2-M1 | 15.15 | 1 | < 0.001 |
M3: 仅约束斜率等同 | 27.15 | 7 | M3-M1 | 8.20 | 1 | 0.004 |
M4: 仅约束截距与斜率间相关等同 | 20.01 | 7 | M4-M1 | 1.02 | 1 | 0.314 |
初中 vs. 小学 | ||||||
M1: 自由估计 | 39.15 | 6 | ||||
M2: 仅约束截距等同 | 39.19 | 7 | M2-M1 | 0.04 | 1 | 0.836 |
M3: 仅约束斜率等同 | 46.04 | 7 | M3-M1 | 6.91 | 1 | 0.009 |
M4: 仅约束截距与斜率间相关等同 | 39.76 | 7 | M4-M1 | 0.61 | 1 | 0.435 |
表S3 同伴侵害变化轨迹的群体差异
模型 | 模型拟合 | 模型比较 | ||||
---|---|---|---|---|---|---|
χ2 | df | 模型 | Δχ2 | Δdf | p | |
流动状态(参照组城市儿童) | ||||||
流动 | ||||||
M1: 自由估计 | 18.09 | 6 | ||||
M2: 仅约束截距等同 | 23.56 | 7 | M2-M1 | 5.49 | 1 | 0.019 |
M3: 仅约束斜率等同 | 23.87 | 7 | M3-M1 | 5.81 | 1 | 0.016 |
M4: 仅约束截距与斜率间相关等同 | 22.46 | 7 | M4-M1 | 4.18 | 1 | 0.041 |
留守 | ||||||
M1: 自由估计 | 5.71 | 6 | ||||
M2: 仅约束截距等同 | 34.72 | 7 | M2-M1 | 29.99 | 1 | < 0.001 |
M3: 仅约束斜率等同 | 10.36 | 7 | M3-M1 | 4.68 | 1 | 0.031 |
M4: 仅约束截距与斜率间相关等同 | 6.36 | 7 | M4-M1 | 0.64 | 1 | 0.425 |
农村 | ||||||
M1: 自由估计 | 7.89 | 6 | ||||
M2: 仅约束截距等同 | 13.41 | 7 | M2-M1 | 5.56 | 1 | 0.018 |
M3: 仅约束斜率等同 | 10.13 | 7 | M3-M1 | 2.24 | 1 | 0.134 |
M4: 仅约束截距与斜率间相关等同 | 7.91 | 7 | M4-M1 | 0.02 | 1 | 0.892 |
性别(男生) | ||||||
M1: 自由估计 | 15.38 | 6 | ||||
M2: 仅约束截距等同 | 66.69 | 7 | M2-M1 | 52.15 | 1 | < 0.001 |
M3: 仅约束斜率等同 | 18.46 | 7 | M3-M1 | 3.09 | 1 | 0.079 |
M4: 仅约束截距与斜率间相关等同 | 23.35 | 7 | M4-M1 | 7.73 | 1 | 0.005 |
年级 | ||||||
小学 vs. 高中 | ||||||
M1: 自由估计 | 37.91 | 6 | ||||
M2: 仅约束截距等同 | 52.64 | 7 | M2-M1 | 14.86 | 1 | < 0.001 |
M3: 仅约束斜率等同 | 38.02 | 7 | M3-M1 | 0.11 | 1 | 0.737 |
M4: 仅约束截距与斜率间相关等同 | 41.48 | 7 | M4-M1 | 3.58 | 1 | 0.059 |
初中 vs. 高中 | ||||||
M1: 自由估计 | 18.99 | 6 | ||||
M2: 仅约束截距等同 | 34.01 | 7 | M2-M1 | 15.15 | 1 | < 0.001 |
M3: 仅约束斜率等同 | 27.15 | 7 | M3-M1 | 8.20 | 1 | 0.004 |
M4: 仅约束截距与斜率间相关等同 | 20.01 | 7 | M4-M1 | 1.02 | 1 | 0.314 |
初中 vs. 小学 | ||||||
M1: 自由估计 | 39.15 | 6 | ||||
M2: 仅约束截距等同 | 39.19 | 7 | M2-M1 | 0.04 | 1 | 0.836 |
M3: 仅约束斜率等同 | 46.04 | 7 | M3-M1 | 6.91 | 1 | 0.009 |
M4: 仅约束截距与斜率间相关等同 | 39.76 | 7 | M4-M1 | 0.61 | 1 | 0.435 |
[1] | Abramson L. Y., Alloy L. B., & Metalsky G. I. (1989). Hopelessness depression: A theory-based subtype of depression. Psychological Bulletin, 96(2), 358-372. |
[2] | Achenbach T. M., & Rescorla L. (2001). Manual for the ASEBA school-age forms & profiles: An integrated system of multi-informant assessment. University of Vermont, Research Center for Children, Youth & Families. |
[3] | Aiken L. S., & West S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage Publications, Inc. |
[4] |
Barzilay S., Brunstein Klomek A., Apter A., Carli V., Wasserman C., Hadlaczky G.,... Wasserman D. (2017). Bullying victimization and suicide ideation and behavior among adolescents in Europe: A 10-country study. Journal of Adolescent Health, 61(2), 179-186.
doi: 10.1016/j.jadohealth.2017.02.002 URL |
[5] | Beck A. T. (1976). Cognitive therapy and the emotional disorders. International University Press. |
[6] |
Chahal R., Weissman D. G., Marek S., Rhoads S. A., Hipwell A. E., Forbes E. E.,... Guyer A. E. (2020). Girls’ brain structural connectivity in late adolescence relates to history of depression symptoms. Journal of Child Psychology and Psychiatry, 61(11), 1224-1233.
doi: 10.1111/jcpp.v61.11 URL |
[7] |
Chen F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464-504.
doi: 10.1080/10705510701301834 URL |
[8] |
Chen Q., Chen M., Zhu Y., Chan K., & Ip P. (2018). Health correlates, addictive behaviors, and peer victimization among adolescents in China. World Journal of Pediatrics, 14(5), 454-460.
doi: 10.1007/s12519-018-0158-2 |
[9] | Chen Q., Sun X., Xie Q., Li J., & Chan K. L. (2019). The impacts of internal migration on child victimization in China: A meta-analysis. Trauma, Violence, & Abuse, 20(1), 40-50. |
[10] |
Chen X., & French D. C. (2008). Children’s social competence in cultural context. Annual Review of Psychology, 59, 591-616.
doi: 10.1146/psych.2008.59.issue-1 URL |
[11] |
Cho S. (2018). The impact of low self-control and delinquent peer associations on bullying perpetration and victimization among South Korean adolescents: Time-concurrent, time- lagged, and latent growth curve modeling. Journal of School Violence, 17(4), 500-520.
doi: 10.1080/15388220.2018.1453821 URL |
[12] | Díaz K. I., Fite P. J., Abel M. R., & Doyle R. L. (2021). Varying experiences of cyber victimization among middle and high school students. In Child & Youth Care Forum, 50(6), 1087-1105. |
[13] | Dodge K. A., & Schwartz D. (1997). Social information processing mechanisms in aggressive behavior. In D. M. Stoff, J. Breiling, & J. D. Maser (Eds.), Handbook of antisocial behavior (pp. 171-180). John Wiley & Sons Inc. |
[14] |
Duarte C., Pinto-Gouveia J., & Stubbs R. J. (2017). The prospective associations between bullying experiences, body image shame and disordered eating in a sample of adolescent girls. Personality and Individual Differences, 116, 319-325.
doi: 10.1016/j.paid.2017.05.003 URL |
[15] |
Edmond M. B., Granberg E., Simons R., & Lei M. K. (2014). Distressing relationships, anger, and stress amplification in a sample of young adult African Americans. Journal of Adult Development, 21(1), 13-29.
doi: 10.1007/s10804-013-9175-5 URL |
[16] |
El-Sheikh M., Shimizu M., Erath S. A., Philbrook L. E., & Hinnant J. B. (2019). Dynamic patterns of marital conflict: Relations to trajectories of adolescent adjustment. Developmental Psychology, 55(8), 1720-1732.
doi: 10.1037/dev0000746 pmid: 31169398 |
[17] |
Epkins C. C. (2000). Cognitive specificity in internalizing and externalizing problems in community and clinic-referred children. Journal of Clinical Child Psychology, 29(2), 199-208.
pmid: 10802829 |
[18] |
Espelage D. L., & Holt M. K. (2001). Bullying and victimization during early adolescence: Peer influences and psychosocial correlates. Journal of Emotional Abuse, 2(2-3), 123-142.
doi: 10.1300/J135v02n02_08 URL |
[19] | Feng C., Wang H., Lu N., Chen T., He H., Lu Y., & Tu X. (2014). Log-transformation and its implications for data analysis. Shanghai Arch Psychiatry, 26(2), 105-109. |
[20] | Grimm K. J., Ram N., & Estabrook R. (2017). Growth modeling: Structural equation and multilevel modeling approaches. Guilford Publications. |
[21] |
Guo H. Y., Chen L. H., Ye Z., Pan J., Lin D. H. (2017). Characteristics of peer victimization and the bidirectional relationship between peer victimization and internalizing problems among rural-to-urban migrant children in China: A longitudinal study. Acta Psychologica Sinica, 49(3), 336-348.
doi: 10.3724/SP.J.1041.2017.00336 |
[郭海英, 陈丽华, 叶枝, 潘瑾, 林丹华. (2017). 流动儿童同伴侵害的特点及与内化问题的循环作用关系: 一项追踪研究. 心理学报, 49(3), 336-348.] | |
[22] |
Harkness K. L., Bruce A. E., & Lumley M. N. (2006). The role of childhood abuse and neglect in the sensitization to stressful life events in adolescent depression. Journal of Abnormal Psychology, 115(4), 730-741.
pmid: 17100530 |
[23] | Hawker D. S., & Boulton M. J. (2000). Twenty years’ research on peer victimization and psychosocial maladjustment: A meta- analytic review of cross-sectional studies. The Journal of Child Psychology and Psychiatry and Allied Disciplines, 41(4), 441-455. |
[24] |
Heim C., & Nemeroff C. B. (2001). The role of childhood trauma in the neurobiology of mood and anxiety disorders: Preclinical and clinical studies. Biological Psychiatry, 49(12), 1023-1039.
doi: 10.1016/s0006-3223(01)01157-x pmid: 11430844 |
[25] |
Hou J. Q., & Chen Z. Y. (2016). The trajectories of adolescent depressive symptoms: Identifying latent subgroups and risk factors. Acta Psychologica Sinica, 48(8), 957-968.
doi: 10.3724/SP.J.1041.2016.00957 |
[侯金芹, 陈祉妍. (2016). 青少年抑郁情绪的发展轨迹: 界定亚群组及其影响因素. 心理学报, 48(8), 957-968.] | |
[26] |
Hu L.-T., & Bentler P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
doi: 10.1080/10705519909540118 URL |
[27] |
Huang H., Hong J. S., & Espelage D. L. (2013). Understanding factors associated with bullying and peer victimization in Chinese schools within ecological contexts. Journal of Child and Family Studies, 22(7), 881-892.
doi: 10.1007/s10826-012-9647-4 URL |
[28] |
Jiang S., & Liang Z. (2021). Mediator of school belongingness and moderator of migration status in the relationship between peer victimization and depression among Chinese children: A multi-group structural equation modeling approach. Journal of Affective Disorders, 278, 382-389.
doi: 10.1016/j.jad.2020.09.075 pmid: 33007628 |
[29] | Johnson L. E., Parra L. A., Ugarte E., Weissman D. G., Han S. G., Robins R. W.,... Hastings P. D. (2021). Patterns of poverty across adolescence predict salivary cortisol stress responses in Mexican-origin youths. Psychoneuroendocrinology, 132, Article 105340. |
[30] |
Juvonen J., & Graham S. (2014). Bullying in schools: The power of bullies and the plight of victims. Annual Review of Psychology, 65, 159-185.
doi: 10.1146/annurev-psych-010213-115030 pmid: 23937767 |
[31] |
Ladd G. W., Ettekal I., & Kochenderfer-Ladd B. (2017). Peer victimization trajectories from kindergarten through high school: Differential pathways for children’s school engagement and achievement? Journal of Educational Psychology, 109(6), 826-841.
doi: 10.1037/edu0000177 URL |
[32] | Lane S. T. (2014). Evaluating the interaction of growth factors in the univariate latent curve model (Publication No. 1563955) [Doctoral dissertation, The University of North Carolina at Chapel Hill]. ProQuest Dissertations and Theses Global. |
[33] | Li X. W., Zou H., & Wang L. (2009, September). A comparative study on school adjustment between migrant children in public schools and those in migrant worker children’s schools. Chinese Journal of Special Education, (9), 81-86. |
[李晓巍, 邹泓, 王莉. (2009, 9月). 北京市公立学校与打工子弟学校流动儿童学校适应的比较研究. 中国特殊教育, (9), 81-86 ] | |
[34] | Lian Q., Su Q., Li R., Elgar F. J., Liu Z., & Zheng D. (2018). The association between chronic bullying victimization with weight status and body self-image: A cross-national study in 39 countries. PeerJ, 6, Article e4330. |
[35] |
Ma T.-L., Meter D. J., Chen W.-T., & Lee Y. (2019). Defending behavior of peer victimization in school and cyber context during childhood and adolescence: A meta-analytic review of individual and peer-relational characteristics. Psychological Bulletin, 145(9), 891-928.
doi: 10.1037/bul0000205 URL |
[36] |
Maslowsky J., Jager J., & Hemken D. (2015). Estimating and interpreting latent variable interactions: A tutorial for applying the latent moderated structural equations method. International Journal of Behavioral Development, 39(1), 87-96.
pmid: 26478643 |
[37] | Monroe S. M., Anderson S. F., & Harkness K. L. (2019). Life stress and major depression: The mysteries of recurrences. Psychological Review, 126(6), 791-816. |
[38] | Myers H. F., Wyatt G. E., Ullman J. B., Loeb T. B., Chin D., Prause N.,... Liu H. (2015). Cumulative burden of lifetime adversities: Trauma and mental health in low-SES African Americans and Latino/as. Psychological Trauma: Theory, Research, Practice, and Policy, 7(3), 243-251. |
[39] | Patterson G. R., & Capaldi D. M. (1990). A mediational model for boys’ depressed mood. In J. E. Rolf, A. Masten, D. Ciccheti, K. Neuchterlein, & S. Weintraub (Eds.), Risk and protective factors in the development of psychopathology (pp. 141-163). Cambridge University Press. |
[40] | Pössel P., & Smith E. (2020). Integrating Beck’s cognitive theory of depression and the hopelessness model in an adolescent sample. Journal of Abnormal Child Psychology, 48(3), 435-451. |
[41] |
Pouwels J. L., Souren P. M., Lansu T. A. M., & Cillessen A. H. N. (2016). Stability of peer victimization: A meta- analysis of longitudinal research. Developmental Review, 40, 1-24.
doi: 10.1016/j.dr.2016.01.001 URL |
[42] | Preacher K. J., Wichman A. L., MacCallum R. C., & Briggs N. E. (2008). Latent growth curve modeling. Sage. |
[43] |
Radloff L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385-401.
doi: 10.1177/014662167700100306 URL |
[44] |
Reijntjes A., Kamphuis J. H., Prinzie P., Boelen P. A., van der Schoot M., & Telch M. J. (2011). Prospective linkages between peer victimization and externalizing problems in children: A meta-analysis. Aggressive Behavior, 37(3), 215-222.
doi: 10.1002/ab.20374 pmid: 21433031 |
[45] |
Reijntjes A., Kamphuis J. H., Prinzie P., & Telch M. J. (2010). Peer victimization and internalizing problems in children: A meta-analysis of longitudinal studies. Child Abuse & Neglect, 34(4), 244-252.
doi: 10.1016/j.chiabu.2009.07.009 URL |
[46] | Rescorla L., Achenbach T. M., Ivanova M. Y., Dumenci L., Almqvist F., Bilenberg N.,... Verhulst F. (2007). Epidemiological comparisons of problems and positive qualities reported by adolescents in 24 countries. Journal of Consultative and Clinical Psychology, 75(2), 351-358. |
[47] |
Rudolph K. D., & Flynn M. (2007). Childhood adversity and youth depression: Influence of gender and pubertal status. Development and Psychopathology, 19(2), 497-521.
doi: 10.1017/S0954579407070241 pmid: 17459181 |
[48] | Rudolph K. D., Lansford J. E., & Rodkin P. C. (2016). Interpersonal theories of developmental psychopathology. In D. Cicchetti (Ed.), Developmental psychopathology (Vol. 3, pp. 243-311). John Wiley & Sons, Inc |
[49] |
Rudolph K. D., Troop-Gordon W., Hessel E. T., & Schmidt J. D. (2011). A latent growth curve analysis of early and increasing peer victimization as predictors of mental health across elementary school. Journal of Clinical Child and Adolescent Psychology, 40(1), 111-122.
doi: 10.1080/15374416.2011.533413 pmid: 21229448 |
[50] |
Schacter H. L., & Juvonen J. (2015). The effects of school- level victimization on self-blame: Evidence for contextualized social cognitions. Developmental Psychology, 51(6), 841-847.
doi: 10.1037/dev0000016 pmid: 25893267 |
[51] |
Schlomer G. L., Bauman S., & Card N. A. (2010). Best practices for missing data management in counseling psychology. Journal of Counseling Psychology, 57(1), 1-10.
doi: 10.1037/a0018082 pmid: 21133556 |
[52] |
Schoeler T., Duncan L., Cecil C. M., Ploubidis G. B., & Pingault J.-B. (2018). Quasi-experimental evidence on short-and long-term consequences of bullying victimization: A meta-analysis. Psychological Bulletin, 144(12), 1229-1246.
doi: 10.1037/bul0000171 pmid: 30475016 |
[53] | Schweizer T. H., & Hankin B. L. (2020). Cognitive risks:Translating stress into psychopathology. In K. L. Harkness & E. P. Hayden (Eds.), The Oxford handbook of stress and mental health (pp. 371-396). Oxford University Press. |
[54] |
Sisk L. M., & Gee D. G. (2022). Stress and adolescence: Vulnerability and opportunity during a sensitive window of development. Current Opinion in Psychology, 44, 286-292.
doi: 10.1016/j.copsyc.2021.10.005 URL |
[55] |
Sugimura N., Berry D., Troop-Gordon W., & Rudolph K. D. (2017). Early social behaviors and the trajectory of peer victimization across the school years. Developmental Psychology, 53(8), 1447-1461.
doi: 10.1037/dev0000346 pmid: 28557475 |
[56] | Tabachnick B., & Fidell L. (2018). Using multivariate statistics (7th ed.). Allyn & Bacon/Pearson Education. |
[57] |
Takizawa R., Maughan B., & Arseneault L. (2014). Adult health outcomes of childhood bullying victimization: Evidence from a 5-decade longitudinal British birth cohort. American Journal of Psychiatry, 171(7), 777-784.
doi: 10.1176/appi.ajp.2014.13101401 pmid: 24743774 |
[58] |
Troop-Gordon W. (2017). Peer victimization in adolescence: The nature, progression, and consequences of being bullied within a developmental context. Journal of Adolescence, 55, 116-128.
doi: S0140-1971(16)30189-0 pmid: 28081521 |
[59] |
Troop-Gordon W., & Ladd G. W. (2005). Trajectories of peer victimization and perceptions of the self and schoolmates: Precursors to internalizing and externalizing problems. Child Development, 76(5), 1072-1091.
pmid: 16150003 |
[60] | Wei H.-S., Chang H.-H., & Chen J.-K. (2016). Bullying and victimisation among Taiwanese students in special schools. International Journal of Disability, Development and Education, 63(2), 246-259. |
[61] | Yan R., Xie R., Jiang M., Li J., Lin X., & Ding W. (2022). Longitudinal relationship between bullying victimization and depression among left-behind children: Roles of negative thoughts and self-compassion. Frontiers in Psychology, 13, Article 852634. |
[62] | Ye Z., Chen L., Harrison S. E., Guo H., Li X., & Lin D. (2016). Peer victimization and depressive symptoms among rural-to-urban migrant children in China: The protective role of resilience. Frontiers in Psychology, 7, Article 1542. |
[63] |
Yoon S., Yoon D., Wang X., Tebben E., Lee G., & Pei F. (2017). Co-development of internalizing and externalizing behavior problems during early childhood among child welfare-involved children. Children and Youth Services Review, 82, 455-1465.
doi: 10.1016/j.childyouth.2017.10.016 URL |
[64] |
Yuan W. Y. (2017). The mechanism of depression in adolescence has a higher morbidity. Advances in Psychology, 7(7), 909-917.
doi: 10.12677/AP.2017.77114 URL |
[袁文颖. (2017). 青少年时期高发抑郁症的机制探讨. 心理学进展, 7(7), 909-917.] | |
[65] |
Zahn-Waxler C., Shirtcliff E. A., & Marceau K. (2008). Disorders of childhood and adolescence: Gender and psychopathology. Annual Review of Clinical Psychology, 4, 275-303.
doi: 10.1146/annurev.clinpsy.3.022806.091358 pmid: 18370618 |
[66] |
Zhang H., Zhou H., & Tao T. (2019). Bullying behaviors and psychosocial adjustment among school-aged children in China. Journal of Interpersonal Violence, 34(11), 2363-2375.
doi: 10.1177/0886260518780777 pmid: 29911464 |
[67] | Zhang W. X. (2002). Prevalence and major characteristics of bullying/victimization among primary and junior middle school children. Acta Psychologica Sinica, 34(4), 387-394. |
[张文新. (2002). 中小学生欺负/受欺负的普遍性与基本特点. 心理学报, 34(4), 387-394.] | |
[68] | Zhang X., Ray S. A., Hou W., & Liu X. (2021). Environmental risk factors and their different effects in depressive symptoms of left-behind children in rural China compared with non- left-behind children. International Journal of Environmental Research and Public Health, 18(20), Article 10873. |
[69] | Zhang Z., Shi H. J., Li M. N., Xu X. Er., & Guo J. P. (2015). Prevalence of school bullying behavior among high grade students in urban migrant elementary schools. Chinese Journal of School Health, 36(2), 190-197. |
[张喆, 史慧静, 李梦娜, 徐心儿, 郭锦萍. (2015). 随迁子女小学四年级学生校园欺负行为现况. 中国学校卫生, 36(2), 190-197.] | |
[70] | Zhou H., & Long L. R. (2004). Statistical remedies for common method biases. Advances in Psychological Science, 12(6), 942-950. |
[周浩, 龙立荣. (2004). 共同方法偏差的统计检验与控制方法. 心理科学进展, 12(6), 942-950.] | |
[71] | Zhu Y., Xiao C., Chen Q., Wu Q., & Zhu B. (2020). Health effects of repeated victimization among school-aged adolescents in six major cities in China. Child Abuse & Neglect, 108, Article 104654 |
[1] | 白荣, 高叶淼, 李金文, 刘霞. 远近端人际压力与FKBP5基因对青少年自伤行为的联合影响:基于发展的视角[J]. 心理学报, 2023, 55(9): 1477-1488. |
[2] | 廖友国, 陈建文, 张妍, 彭聪. 儿童青少年同伴侵害与内化问题的双向关系: 纵向研究的元分析[J]. 心理学报, 2022, 54(7): 828-849. |
[3] | 田相娟, 曹衍淼, 张文新. 母亲消极教养、同伴侵害与FKBP5基因对青少年抑郁的影响[J]. 心理学报, 2020, 52(12): 1407-1420. |
[4] | 郭海英;陈丽华; 叶枝;潘瑾;林丹华. 流动儿童同伴侵害的特点及与内化问题的循环作用关系:一项追踪研究[J]. 心理学报, 2017, 49(3): 336-348. |
[5] | 曹丛;王美萍;曹衍淼;纪林芹;张文新. MAOA基因T941G多态性与同伴侵害对男青少年早期抑郁的交互作用:COMT基因Val158Met 多态性的调节效应[J]. 心理学报, 2017, 49(2): 206-218. |
[6] | 曹衍淼;王美萍;曹丛;纪林芹;张文新. DRD2基因TaqIA多态性与同伴侵害对青少年早期抑郁的交互作用[J]. 心理学报, 2017, 49(1): 28-39. |
[7] | 纪林芹;魏星;陈亮;张文新. 童年晚期同伴关系不利与儿童的攻击行为:自我概念与同伴信念的中介作用[J]. 心理学报, 2012, 44(11): 1479-1489. |
[8] | 纪林芹,陈亮,徐夫真,赵守盈,张文新. 童年中晚期同伴侵害对儿童心理社会适应影响的纵向分析[J]. 心理学报, 2011, 43(10): 1151-1162. |
[9] | 张文新,陈亮,纪林芹,张玲玲,陈光辉,王姝琼. 童年中期身体侵害、关系侵害与儿童的情绪适应[J]. 心理学报, 2009, 41(05): 433-443. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||