Advances in Psychological Science ›› 2025, Vol. 33 ›› Issue (1): 42-61.doi: 10.3724/SP.J.1042.2025.0042
• Meta-Analysis • Previous Articles Next Articles
ZHAO Ziqing1, YU Jinting2, CHEN Jiayan3,4, WANG Yunru3,4, HUANG Jia3,4(), Raymond C.K. CHAN3,4(
)
Received:
2024-04-28
Online:
2025-01-15
Published:
2024-10-28
Contact:
HUANG Jia, Raymond C.K. CHAN
E-mail:huangj@psych.ac.cn;rckchan@psych.ac.cn
CLC Number:
ZHAO Ziqing, YU Jinting, CHEN Jiayan, WANG Yunru, HUANG Jia, Raymond C.K. CHAN. Changes in symptoms and functional outcomes in individuals at clinical high-risk for psychosis: A systematic review and three-level meta-analysis[J]. Advances in Psychological Science, 2025, 33(1): 42-61.
第一作者 及年份 | 效应量数 | 取样 地区 | 随访时间(年) | 样本量 | 年龄(岁) | 性别(男性比例%) | 教育程度(年) | CHR-P亚组 | 精神病转化率(%) | 诊断工具 | 症状评 估工具 | 功能评 估工具 | 文献质量 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
APS比例(%) | BLIPS比例(%) | GRD比例(%) | COGDIS比例(%) | |||||||||||||
Pelizza et al., | 4 | 欧洲 | <1 | 87 | 18.21 | 52 | 11.06 | 78.70 | 16.90 | 4.50 | 8.10 | CAARMS | PANSS | GAF/ HoNOS | ||
Zhang et al., | 2 | 亚洲 | 2~3 | 59 | 19.80 | 48 | 10.60 | 25.40 | SIPS | GAF | ||||||
Værnes et al., | 1 | 欧洲 | <1 | 32 | 19.90 | 66 | 11.70 | 75.00 | 3.10 | 37.40 | 12.50 | SIPS | SIPS | GAF | ||
Usui et al., | 1 | 亚洲 | 1~2 | 22 | 21.10 | 46 | 13.00 | 86.30 | 4.50 | 9.10 | 13.60 | SIPS | PANSS | |||
Susai et al., | 2 | 大洋洲 | <1 | 146 | 18.22 | 39 | 12.98 | CAARMS | BPRS/ SANS | SOFAS | ||||||
李佳 等, | 1 | 亚洲 | <1 | 30 | 29.85 | 57 | SIPS | PANSS | ||||||||
Tateno et al., | 4 | 亚洲 | 1~2 | 28 | 18.00 | 68 | 96.40 | 0, 00 | 3.60 | 0.00 | CAARMS | PANSS | GAF | |||
Salokangas et al., | 2 | 欧洲 | <1 | 59 | 25.00 | 53 | 13.20 | 11.40 | SIPS | GAF | ||||||
Patton et al., | 1 | 北美洲 | <1 | 54 | 18.60 | 59 | 12.40 | 8.00 | SIPS | SIPS | GFS | |||||
Paetzold et al., | 8 | 欧洲 | <1 | 48 | 23.60 | 46 | CAARMS | BPRS | GAF | |||||||
Kristensen et al., | 1 | 欧洲 | <1 | 88 | 23.80 | 47 | 99.10 | 2.80 | 23.90 | CAARMS | CAARMS/ SANS | SOFAS | ||||
Gifford et al., | 1 | 欧洲 | 1~2 | 57 | 22.82 | 63 | 14.72 | 21.50 | CAARMS | PANSS | GAF | |||||
Addington et al., | 2 | 北美洲 | <1 | 95 | 16.80 | 44 | 10.30 | SIPS | SIPS | GFS | ||||||
Aase et al., | 3 | 欧洲 | <1 | 31 | 17.00 | 42 | 100.00 | 0.00 | 0.00 | 24.50 | SIPS | SIPS | ||||
Leanza et al., | 1 | 欧洲 | >3 | 147 | 25.06 | 69 | 11.50 | 67.50 | 7.50 | 24.00 | SIPS | BPRS | GAF | |||
Glenthøj et al., | 1 | 欧洲 | <1 | 91 | 23.92 | 42 | 14.50 | 98.60 | 2.10 | 21.90 | CAARMS | SANS | GFS | |||
Berger et al., | 2 | 大洋洲 | <1 | 90 | 17.21 | 34 | CAARMS | BPRS/ SANS | SOFAS/ GFS | |||||||
Velthorst et al., | 4 | 北美洲 | <1 | 18 | 18.90 | 69 | 32.50 | SIPS | GFS | |||||||
Oribe et al., | 1 | 北美洲 | <1 | 18 | 21.20 | 50 | 13.10 | SIPS | SIPS | GAF | ||||||
Goldsmith et al., | 2 | 北美洲 | <1 | 37 | 19.76 | 62 | SIPS | SIPS | ||||||||
Sanada et al., | 1 | 欧洲 | <1 | 12 | 22.20 | 55 | CAARMS | PANSS | FAST | |||||||
Masillo et al., | 1 | 欧洲 | 1~2 | 85 | 16.36 | 53 | 33.30 | 0.00 | 1.20 | 4.70 | SIPS | SIPS | ||||
Krakauer et al., | 1 | 欧洲 | <1 | 30 | 24.07 | 43 | 100.00 | 3.30 | 53.30 | 0.00 | CAARMS | CAARMS/SANS | SOFAS | |||
Koshiyama et al., | 1 | 亚洲 | 1~2 | 20 | 21.40 | 45 | 13.16 | 46.70 | 15.20 | SIPS | PANSS | GAF | ||||
Kim et al., | 2 | 亚洲 | >3 | 7 | 19.80 | 65 | 12.10 | 35.00 | SIPS | SIPS | GAF | |||||
Katagiri et al., | 2 | 亚洲 | <1 | 14 | 24.48 | 36 | SIPS | SIPS | ||||||||
Saito et al., | 2 | 亚洲 | <1 | 6 | 22.93 | 28 | 11.59 | SIPS | SIPS | |||||||
Reniers et al., | 1 | 大洋洲 | >3 | 109 | 28.70 | 50 | 72.50 | 18.40 | 36.70 | CAARMS | BPRS/ SANS | GAF | ||||
Koshiyama et al., | 1 | 亚洲 | 1~2 | 16 | 20.60 | 44 | 8.50 | SIPS | PANSS | GAF | ||||||
Cotter et al., | 4 | 欧洲 | >3 | 184 | 18.50 | 45 | 79.80 | 11.40 | 26.60 | CAARMS | BPRS/SANS/HAM-A/ HAM-D | QLS | ||||
Bernard et al., | 1 | 北美洲 | <1 | 26 | 18.70 | 69 | SIPS | SIPS | ||||||||
陈发展 等, 2016 | 1 | 亚洲 | <1 | 47 | 21.20 | 47 | 100.00 | 17.02 | SIPS | SIPS | ||||||
Shin et al., | 1 | 亚洲 | 1~2 | 47 | 19.30 | 70 | 12.00 | 8.50 | CAARMS | SIPS | GAF/SFS | |||||
Cropley et al., | 1 | 大洋洲 | >3 | 30 | 19.93 | 50 | 0.00 | CAARMS | BPRS/ SANS | GAF | ||||||
Carrión et al., | 1 | 北美洲 | 2~3 | 76 | 16.00 | 68 | 30.50 | SIPS | SIPS | GAF/GFS | ||||||
Yung et al., | 1 | 大洋洲 | >3 | 268 | 43 | CAARMS | ||||||||||
Lin et al., | 2 | 大洋洲 | >3 | 31 | 20.42 | 42 | 36.70 | CAARMS | BPRS/ SANS | |||||||
Kim et al., | 1 | 亚洲 | 1~2 | 45 | 19.30 | 73 | 12.00 | 40.90 | SIPS | SIPS | GAF | |||||
Allen et al., | 2 | 欧洲 | 1~2 | 18 | 21.11 | 61 | 100.00 | 16.70 | 11.10 | CAARMS | CAARMS | GAF | ||||
Ziermans et al., | 1 | 欧洲 | >3 | 41 | 15.20 | 63 | 86.00 | 3.00 | 0.00 | 53.00 | 19.50 | SIPS/BSABS-P | GAF | |||
Schultze-Lutter et al., | 2 | 欧洲 | 1~2 | 165 | 25.30 | 59 | 32.90 | CAARMS | SOFAS | |||||||
Morita et al., | 1 | 亚洲 | <1 | 27 | 25.30 | 30 | 100.00 | 25.90 | 59.30 | SIPS | SIPS | GAF | ||||
Meyer et al., | 2 | 北美洲 | <1 | 96 | 18.20 | 64 | 10.40 | SIPS | GFS | |||||||
Egerton et al., | 2 | 欧洲 | 1~2 | 22 | 23.80 | 50 | 11.80 | CAARMS | PANSS | GAF | ||||||
De Wit et al., | 2 | 欧洲 | >3 | 18 | 14.20 | 64 | 22.70 | SIPS | SIPS | |||||||
Lin et al., | 1 | 欧洲 | >3 | 325 | 19.13 | 47 | 80.20 | 13.60 | 28.70 | 24.90 | CAARMS | BPRS/SANS/HAM-D | GAF | |||
Perez et al., | 2 | 北美洲 | <1 | 60 | 18.80 | 71 | 88.80 | 9.20 | 34.70 | 32.30 | SIPS | SAPS/ SANS/SIPS | GAF | |||
Ziermans et al., | 1 | 欧洲 | 1~2 | 42 | 17.60 | 60 | SIPS | SIPS | GAF | |||||||
Yung et al., | 1 | 大洋洲 | <1 | 78 | CAARMS | BPRS/SANS | GAF | |||||||||
Velthorst et al., | 3 | 欧洲 | <1 | 37 | 19.19 | 66 | 25.70 | SIPS | SIPS | GAF | ||||||
Lin et al., | 2 | 欧洲 | >3 | 41 | 18.54 | 56 | 61.70 | 5.20 | 48.80 | SIPS | BPRS | GAF | ||||
Fusar-Poli et al., | 1 | 欧洲 | <1 | 15 | 24.36 | 53 | CAARMS | PANSS | GAF | |||||||
Addington et al., | 2 | 北美洲 | <1 | 111 | 18.00 | 56 | SIPS | SIPS | GAF | |||||||
Willhite et al., | 4 | 北美洲 | <1 | 25 | 17.80 | 10.40 | SIPS | SIPS | GAF |
第一作者 及年份 | 效应量数 | 取样 地区 | 随访时间(年) | 样本量 | 年龄(岁) | 性别(男性比例%) | 教育程度(年) | CHR-P亚组 | 精神病转化率(%) | 诊断工具 | 症状评 估工具 | 功能评 估工具 | 文献质量 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
APS比例(%) | BLIPS比例(%) | GRD比例(%) | COGDIS比例(%) | |||||||||||||
Pelizza et al., | 4 | 欧洲 | <1 | 87 | 18.21 | 52 | 11.06 | 78.70 | 16.90 | 4.50 | 8.10 | CAARMS | PANSS | GAF/ HoNOS | ||
Zhang et al., | 2 | 亚洲 | 2~3 | 59 | 19.80 | 48 | 10.60 | 25.40 | SIPS | GAF | ||||||
Værnes et al., | 1 | 欧洲 | <1 | 32 | 19.90 | 66 | 11.70 | 75.00 | 3.10 | 37.40 | 12.50 | SIPS | SIPS | GAF | ||
Usui et al., | 1 | 亚洲 | 1~2 | 22 | 21.10 | 46 | 13.00 | 86.30 | 4.50 | 9.10 | 13.60 | SIPS | PANSS | |||
Susai et al., | 2 | 大洋洲 | <1 | 146 | 18.22 | 39 | 12.98 | CAARMS | BPRS/ SANS | SOFAS | ||||||
李佳 等, | 1 | 亚洲 | <1 | 30 | 29.85 | 57 | SIPS | PANSS | ||||||||
Tateno et al., | 4 | 亚洲 | 1~2 | 28 | 18.00 | 68 | 96.40 | 0, 00 | 3.60 | 0.00 | CAARMS | PANSS | GAF | |||
Salokangas et al., | 2 | 欧洲 | <1 | 59 | 25.00 | 53 | 13.20 | 11.40 | SIPS | GAF | ||||||
Patton et al., | 1 | 北美洲 | <1 | 54 | 18.60 | 59 | 12.40 | 8.00 | SIPS | SIPS | GFS | |||||
Paetzold et al., | 8 | 欧洲 | <1 | 48 | 23.60 | 46 | CAARMS | BPRS | GAF | |||||||
Kristensen et al., | 1 | 欧洲 | <1 | 88 | 23.80 | 47 | 99.10 | 2.80 | 23.90 | CAARMS | CAARMS/ SANS | SOFAS | ||||
Gifford et al., | 1 | 欧洲 | 1~2 | 57 | 22.82 | 63 | 14.72 | 21.50 | CAARMS | PANSS | GAF | |||||
Addington et al., | 2 | 北美洲 | <1 | 95 | 16.80 | 44 | 10.30 | SIPS | SIPS | GFS | ||||||
Aase et al., | 3 | 欧洲 | <1 | 31 | 17.00 | 42 | 100.00 | 0.00 | 0.00 | 24.50 | SIPS | SIPS | ||||
Leanza et al., | 1 | 欧洲 | >3 | 147 | 25.06 | 69 | 11.50 | 67.50 | 7.50 | 24.00 | SIPS | BPRS | GAF | |||
Glenthøj et al., | 1 | 欧洲 | <1 | 91 | 23.92 | 42 | 14.50 | 98.60 | 2.10 | 21.90 | CAARMS | SANS | GFS | |||
Berger et al., | 2 | 大洋洲 | <1 | 90 | 17.21 | 34 | CAARMS | BPRS/ SANS | SOFAS/ GFS | |||||||
Velthorst et al., | 4 | 北美洲 | <1 | 18 | 18.90 | 69 | 32.50 | SIPS | GFS | |||||||
Oribe et al., | 1 | 北美洲 | <1 | 18 | 21.20 | 50 | 13.10 | SIPS | SIPS | GAF | ||||||
Goldsmith et al., | 2 | 北美洲 | <1 | 37 | 19.76 | 62 | SIPS | SIPS | ||||||||
Sanada et al., | 1 | 欧洲 | <1 | 12 | 22.20 | 55 | CAARMS | PANSS | FAST | |||||||
Masillo et al., | 1 | 欧洲 | 1~2 | 85 | 16.36 | 53 | 33.30 | 0.00 | 1.20 | 4.70 | SIPS | SIPS | ||||
Krakauer et al., | 1 | 欧洲 | <1 | 30 | 24.07 | 43 | 100.00 | 3.30 | 53.30 | 0.00 | CAARMS | CAARMS/SANS | SOFAS | |||
Koshiyama et al., | 1 | 亚洲 | 1~2 | 20 | 21.40 | 45 | 13.16 | 46.70 | 15.20 | SIPS | PANSS | GAF | ||||
Kim et al., | 2 | 亚洲 | >3 | 7 | 19.80 | 65 | 12.10 | 35.00 | SIPS | SIPS | GAF | |||||
Katagiri et al., | 2 | 亚洲 | <1 | 14 | 24.48 | 36 | SIPS | SIPS | ||||||||
Saito et al., | 2 | 亚洲 | <1 | 6 | 22.93 | 28 | 11.59 | SIPS | SIPS | |||||||
Reniers et al., | 1 | 大洋洲 | >3 | 109 | 28.70 | 50 | 72.50 | 18.40 | 36.70 | CAARMS | BPRS/ SANS | GAF | ||||
Koshiyama et al., | 1 | 亚洲 | 1~2 | 16 | 20.60 | 44 | 8.50 | SIPS | PANSS | GAF | ||||||
Cotter et al., | 4 | 欧洲 | >3 | 184 | 18.50 | 45 | 79.80 | 11.40 | 26.60 | CAARMS | BPRS/SANS/HAM-A/ HAM-D | QLS | ||||
Bernard et al., | 1 | 北美洲 | <1 | 26 | 18.70 | 69 | SIPS | SIPS | ||||||||
陈发展 等, 2016 | 1 | 亚洲 | <1 | 47 | 21.20 | 47 | 100.00 | 17.02 | SIPS | SIPS | ||||||
Shin et al., | 1 | 亚洲 | 1~2 | 47 | 19.30 | 70 | 12.00 | 8.50 | CAARMS | SIPS | GAF/SFS | |||||
Cropley et al., | 1 | 大洋洲 | >3 | 30 | 19.93 | 50 | 0.00 | CAARMS | BPRS/ SANS | GAF | ||||||
Carrión et al., | 1 | 北美洲 | 2~3 | 76 | 16.00 | 68 | 30.50 | SIPS | SIPS | GAF/GFS | ||||||
Yung et al., | 1 | 大洋洲 | >3 | 268 | 43 | CAARMS | ||||||||||
Lin et al., | 2 | 大洋洲 | >3 | 31 | 20.42 | 42 | 36.70 | CAARMS | BPRS/ SANS | |||||||
Kim et al., | 1 | 亚洲 | 1~2 | 45 | 19.30 | 73 | 12.00 | 40.90 | SIPS | SIPS | GAF | |||||
Allen et al., | 2 | 欧洲 | 1~2 | 18 | 21.11 | 61 | 100.00 | 16.70 | 11.10 | CAARMS | CAARMS | GAF | ||||
Ziermans et al., | 1 | 欧洲 | >3 | 41 | 15.20 | 63 | 86.00 | 3.00 | 0.00 | 53.00 | 19.50 | SIPS/BSABS-P | GAF | |||
Schultze-Lutter et al., | 2 | 欧洲 | 1~2 | 165 | 25.30 | 59 | 32.90 | CAARMS | SOFAS | |||||||
Morita et al., | 1 | 亚洲 | <1 | 27 | 25.30 | 30 | 100.00 | 25.90 | 59.30 | SIPS | SIPS | GAF | ||||
Meyer et al., | 2 | 北美洲 | <1 | 96 | 18.20 | 64 | 10.40 | SIPS | GFS | |||||||
Egerton et al., | 2 | 欧洲 | 1~2 | 22 | 23.80 | 50 | 11.80 | CAARMS | PANSS | GAF | ||||||
De Wit et al., | 2 | 欧洲 | >3 | 18 | 14.20 | 64 | 22.70 | SIPS | SIPS | |||||||
Lin et al., | 1 | 欧洲 | >3 | 325 | 19.13 | 47 | 80.20 | 13.60 | 28.70 | 24.90 | CAARMS | BPRS/SANS/HAM-D | GAF | |||
Perez et al., | 2 | 北美洲 | <1 | 60 | 18.80 | 71 | 88.80 | 9.20 | 34.70 | 32.30 | SIPS | SAPS/ SANS/SIPS | GAF | |||
Ziermans et al., | 1 | 欧洲 | 1~2 | 42 | 17.60 | 60 | SIPS | SIPS | GAF | |||||||
Yung et al., | 1 | 大洋洲 | <1 | 78 | CAARMS | BPRS/SANS | GAF | |||||||||
Velthorst et al., | 3 | 欧洲 | <1 | 37 | 19.19 | 66 | 25.70 | SIPS | SIPS | GAF | ||||||
Lin et al., | 2 | 欧洲 | >3 | 41 | 18.54 | 56 | 61.70 | 5.20 | 48.80 | SIPS | BPRS | GAF | ||||
Fusar-Poli et al., | 1 | 欧洲 | <1 | 15 | 24.36 | 53 | CAARMS | PANSS | GAF | |||||||
Addington et al., | 2 | 北美洲 | <1 | 111 | 18.00 | 56 | SIPS | SIPS | GAF | |||||||
Willhite et al., | 4 | 北美洲 | <1 | 25 | 17.80 | 10.40 | SIPS | SIPS | GAF |
结果变量 | N | k | n | Hedges' g | 异质性检验 | 失安全系数 N | Eggers test p | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M | 95% CI | p | Q | p | 水平2 I2, % | 水平3 I2, % | p | number | ||||||
症状 | ||||||||||||||
轻微阳性症状 | 41 | 64 | 3456 | −0.78 | −1.12 | −0.45 | <0.001 | 1717.91 | <0.001 | 17.58 | 81.05 | <0.001 | 83056 | 0.26 |
阴性症状 | 43 | 67 | 3840 | −0.45 | −0.65 | −0.25 | <0.001 | 1315.13 | <0.001 | 23.36 | 73.82 | <0.001 | 7346 | 0.87 |
瓦解症状 | 13 | 21 | 877 | −0.40 | −0.78 | −0.02 | 0.042 | 1092.67 | <0.001 | 12.31 | 83.72 | <0.001 | 526 | 0.25 |
情感症状 | 7 | 13 | 1438 | −0.84 | −1.18 | −0.49 | <0.001 | 313.64 | <0.001 | 97.26 | 0.00 | <0.001 | 3721 | 0.22 |
一般精神病理症状 | 17 | 26 | 713 | −0.43 | −0.71 | −0.15 | <0.001 | 319.22 | <0.001 | 22.24 | 69.73 | <0.001 | 1328 | 0.04 |
功能 | ||||||||||||||
整体功能 | 35 | 64 | 4120 | 0.47 | 0.31 | 0.62 | <0.001 | 1339.67 | <0.001 | 86.28 | 10.36 | <0.001 | 6059 | 0.71 |
社会功能 | 9 | 16 | 1101 | 0.66 | −0.08 | 1.41 | 0.076 | 490.74 | <0.001 | 5.43 | 93.57 | <0.001 | 1490 | 0.14 |
角色功能 | 10 | 17 | 1207 | 0.28 | 0.12 | 0.45 | 0.002 | 213.82 | <0.001 | 91.00 | 0.00 | <0.001 | 631 | 0.52 |
结果变量 | N | k | n | Hedges' g | 异质性检验 | 失安全系数 N | Eggers test p | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M | 95% CI | p | Q | p | 水平2 I2, % | 水平3 I2, % | p | number | ||||||
症状 | ||||||||||||||
轻微阳性症状 | 41 | 64 | 3456 | −0.78 | −1.12 | −0.45 | <0.001 | 1717.91 | <0.001 | 17.58 | 81.05 | <0.001 | 83056 | 0.26 |
阴性症状 | 43 | 67 | 3840 | −0.45 | −0.65 | −0.25 | <0.001 | 1315.13 | <0.001 | 23.36 | 73.82 | <0.001 | 7346 | 0.87 |
瓦解症状 | 13 | 21 | 877 | −0.40 | −0.78 | −0.02 | 0.042 | 1092.67 | <0.001 | 12.31 | 83.72 | <0.001 | 526 | 0.25 |
情感症状 | 7 | 13 | 1438 | −0.84 | −1.18 | −0.49 | <0.001 | 313.64 | <0.001 | 97.26 | 0.00 | <0.001 | 3721 | 0.22 |
一般精神病理症状 | 17 | 26 | 713 | −0.43 | −0.71 | −0.15 | <0.001 | 319.22 | <0.001 | 22.24 | 69.73 | <0.001 | 1328 | 0.04 |
功能 | ||||||||||||||
整体功能 | 35 | 64 | 4120 | 0.47 | 0.31 | 0.62 | <0.001 | 1339.67 | <0.001 | 86.28 | 10.36 | <0.001 | 6059 | 0.71 |
社会功能 | 9 | 16 | 1101 | 0.66 | −0.08 | 1.41 | 0.076 | 490.74 | <0.001 | 5.43 | 93.57 | <0.001 | 1490 | 0.14 |
角色功能 | 10 | 17 | 1207 | 0.28 | 0.12 | 0.45 | 0.002 | 213.82 | <0.001 | 91.00 | 0.00 | <0.001 | 631 | 0.52 |
结果 变量 | 调节变量 | N | b Coefficient | SE | Mean Hedges’ g | F (df1, df2) | 95% CI | p value | 水平2 方差 | 水平3 方差 | |
---|---|---|---|---|---|---|---|---|---|---|---|
轻微阳性症状 | <0.001 | <0.001 | |||||||||
年龄 | 63 | 0.09 | 0.05 | F (1, 61) = 3.62 | −0.01 | 0.19 | 0.062 | ||||
性别 | 59 | 0.01 | 0.01 | F (1, 57) = 0.29 | −0.02 | 0.03 | 0.592 | ||||
受教育程度 | 23 | 0.46 | 0.20 | F (1, 21) = 5.01 | 0.03 | 0.88 | 0.036 | ||||
发表年份 | 64 | −0.02 | 0.05 | F (1, 62) = 0.21 | −0.11 | 0.07 | 0.652 | ||||
文献质量 | 64 | −0.02 | 0.16 | F (1, 62) = 0.01 | −0.34 | 0.30 | 0.911 | ||||
APS比例 | 20 | −0.01 | 0.01 | F (1, 18) = 1.39 | −0.02 | 0.01 | 0.253 | ||||
BLIPS比例 | 17 | 0.02 | 0.02 | F (1, 15) = 0.80 | −0.02 | 0.06 | 0.384 | ||||
GRD比例 | 17 | 0.01 | 0.01 | F (1, 15) = 0.28 | −0.01 | 0.02 | 0.603 | ||||
COGDIS比例 | 1 | D.n.a. | |||||||||
随访时间 | 64 | F (3, 60) = 0.01 | 0.999 | ||||||||
1~2年 | −0.02 | −0.54 | 0.51 | 0.947 | |||||||
2~3年 | −0.05 | −2.35 | 2.25 | 0.966 | |||||||
3年以上 | −0.03 | −0.58 | 0.51 | 0.907 | |||||||
阴性症状 | <0.001 | <0.001 | |||||||||
年龄 | 66 | 0.01 | 0.03 | F (1, 64) = 0.21 | −0.05 | 0.08 | 0.650 | ||||
性别 | 62 | 0.00 | 0.01 | F (1, 60) = 0.36 | −0.01 | 0.02 | 0.549 | ||||
受教育程度 | 21 | 0.32 | 0.15 | F (1, 19) = 4.40 | 0.00 | 0.63 | 0.050 | ||||
发表年份 | 67 | −0.01 | 0.03 | F (1, 65) = 0.22 | −0.07 | 0.04 | 0.639 | ||||
文献质量 | 67 | −0.07 | 0.09 | F (1, 65) = 0.63 | −0.26 | 0.11 | 0.429 | ||||
APS比例 | 21 | −0.01 | 0.01 | F (1, 19) = 1.62 | −0.03 | 0.01 | 0.219 | ||||
BLIPS比例 | 18 | −0.00 | 0.02 | F (1, 16) = 0.02 | −0.05 | 0.05 | 0.887 | ||||
GRD比例 | 18 | 0.00 | 0.01 | F (1, 16) = 0.04 | −0.02 | 0.02 | 0.847 | ||||
COGDIS比例 | 1 | D.n.a. | |||||||||
随访时间 | 67 | F (3, 63) = 0.18 | 0.909 | ||||||||
1~2年 | 0.02 | −0.32 | 0.35 | 0.925 | |||||||
2~3年 | −0.25 | −1.65 | 1.145 | 0.719 | |||||||
3年以上 | −0.14 | −0.61 | 0.33 | 0.550 | |||||||
瓦解症状 | 0.002 | 0.017 | |||||||||
年龄 | 21 | −0.09 | 0.05 | F (1, 19) = 3.30 | −0.19 | 0.01 | 0.082 | ||||
性别 | 17 | −0.01 | 0.01 | F (1, 15) = 0.99 | −0.04 | 0.02 | 0.335 | ||||
受教育程度 | 13 | −0.27 | 0.13 | F (1, 11) = 4.41 | −0.55 | 0.01 | 0.060 | ||||
发表年份 | 21 | −0.03 | 0.04 | F (1, 19) = 0.49 | −0.12 | 0.06 | 0.494 | ||||
文献质量 | 21 | −0.15 | 0.18 | F (1, 19) = 0.70 | −0.53 | 0.23 | 0.413 | ||||
APS比例 | 7 | 0.00 | 0.01 | F (1, 5) = 0.10 | −0.03 | 0.04 | 0.769 | ||||
BLIPS比例 | 5 | 0.03 | 0.05 | F (1, 3) = 0.29 | −0.13 | 0.18 | 0.626 | ||||
GRD比例 | 6 | 0.00 | 0.02 | F (1, 4) = 0.00 | −0.05 | 0.05 | 0.979 | ||||
COGDIS比例 | 1 | D.n.a. | |||||||||
随访时间 | 21 | F (2, 18) = 0.76 | 0.481 | ||||||||
1~2年 | −0.04 | −0.67 | 0.58 | 0.892 | |||||||
2~3年 | D.n.a. | ||||||||||
3年以上 | −0.38 | −1.07 | 0.30 | 0.256 | |||||||
一般精神病理症状 | 0.002 | 0.022 | |||||||||
年龄 | 26 | 0.03 | 0.04 | F (1, 24) = 0.63 | −0.05 | 0.11 | 0.434 | ||||
性别 | 22 | −0.01 | 0.01 | F (1, 20) = 0.72 | −0.03 | 0.01 | 0.405 | ||||
受教育程度 | 10 | 0.21 | 0.14 | F (1, 8) = 2.25 | −0.11 | 0.53 | 0.172 | ||||
发表年份 | 26 | 0.02 | 0.04 | F (1, 24) = 0.23 | −0.06 | 0.09 | 0.636 | ||||
文献质量 | 26 | 0.04 | 0.12 | F (1, 24) = 0.11 | −0.21 | 0.29 | 0.744 | ||||
APS比例 | 7 | −0.01 | 0.01 | F (1, 5) = 0.47 | −0.03 | 0.02 | 0.522 | ||||
BLIPS比例 | 4 | D.n.a. | |||||||||
GRD比例 | 5 | 0.02 | 0.01 | F (1, 3) = 3.68 | −0.01 | 0.04 | 0.151 | ||||
COGDIS比例 | 1 | D.n.a. | |||||||||
随访时间 | 25 | F (2, 22) = 0.28 | 0.761 | ||||||||
1~2年 | 0.12 | −0.43 | 0.66 | 0.941 | |||||||
2~3年 | D.n.a. | ||||||||||
3年以上 | −0.14 | −0.89 | 0.60 | 0.696 | |||||||
情感症状 | <0.001 | 1.000 | |||||||||
年龄 | 13 | −0.15 | 0.05 | F (1, 11) = 8.49 | −0.26 | −0.04 | 0.014 | ||||
性别 | 13 | 0.000 | 0.02 | F (1, 11) = 0.00 | −0.05 | 0.05 | 0.988 | ||||
受教育程度 | 4 | D.n.a. | |||||||||
发表年份 | 13 | −0.03 | 0.04 | F (1, 11) = 0.54 | −2.41 | 2.83 | 0.616 | ||||
文献质量 | 13 | −0.12 | 0.12 | F (1, 11) = 1.05 | −0.39 | 0.14 | 0.327 | ||||
APS比例 | 9 | −0.05 | 0.01 | F (1, 7) = 28.75 | −0.08 | −0.03 | 0.001 | ||||
BLIPS比例 | 9 | 0.19 | 0.04 | F (1, 7) = 21.28 | 0.09 | 0.28 | 0.002 | ||||
GRD比例 | 8 | −0.02 | 0.03 | F (1, 6) = 0.33 | −0.08 | 0.05 | 0.586 | ||||
COGDIS比例 | 0 | D.n.a. | |||||||||
随访时间 | 13 | F (2, 10) = 0.97 | 0.974 | ||||||||
1~2年 | −0.18 | −1.90 | 1.54 | 0.824 | |||||||
2~3年 | D.n.a. | ||||||||||
3年以上 | −0.05 | −1.11 | 1.01 | 0.920 | |||||||
整体功能 | <0.001 | 0.485 | |||||||||
年龄 | 63 | −0.04 | 0.03 | F (1, 61) = 2.37 | −0.09 | 0.01 | 0.129 | ||||
性别 | 59 | 0.00 | 0.01 | F (1, 57) = 0.00 | −0.01 | 0.02 | 0.952 | ||||
受教育程度 | 22 | −0.07 | 0.11 | F (1, 20) = 0.39 | −0.29 | 0.16 | 0.540 | ||||
发表年份 | 64 | −0.02 | 0.02 | F (1, 62) = 2.23 | −0.06 | 0.01 | 0.141 | ||||
文献质量 | 60 | −0.14 | 0.07 | F (1, 58) = 3.56 | −0.29 | 0.01 | 0.064 | ||||
APS比例 | 16 | 0.02 | 0.01 | F (1, 14) = 2.71 | −0.01 | 0.05 | 0.122 | ||||
BLIPS比例 | 15 | 0.02 | 0.03 | F (1, 13) = 0.32 | −0.04 | 0.07 | 0.581 | ||||
GRD比例 | 15 | 0.01 | 0.01 | F (1, 13) = 0.43 | −0.01 | 0.02 | 0.523 | ||||
COGDIS比例 | 2 | D.n.a. | |||||||||
随访时间 | 64 | F (3, 60) = 0.54 | 0.655 | ||||||||
1~2年 | −0.06 | −0.40 | 0.28 | 0.714 | |||||||
2~3年 | 0.34 | −0.39 | 1.08 | 0.351 | |||||||
3年以上 | −0.14 | 0.53 | −0.59 | 0.308 | |||||||
社会功能 | <0.001 | <0.001 | |||||||||
年龄 | 16 | −0.13 | 0.18 | F (1, 14) = 0.55 | −0.51 | 0.25 | 0.471 | ||||
性别 | 16 | −0.03 | 0.02 | F (1, 14) = 1.97 | −0.07 | 0.02 | 0.182 | ||||
受教育程度 | 5 | D.n.a. | |||||||||
发表年份 | 16 | 0.09 | 0.13 | F (1, 14) = 0.49 | −0.19 | 0.37 | 0.495 | ||||
文献质量 | 16 | −0.16 | 0.39 | F (1, 14) = 0.18 | −0.99 | 0.66 | 0.678 | ||||
APS比例 | 3 | D.n.a. | |||||||||
BLIPS比例 | 2 | D.n.a. | |||||||||
GRD比例 | 2 | D.n.a. | |||||||||
COGDIS比例 | 0 | D.n.a. | |||||||||
随访时间 | 16 | F (3, 12) = 0.06 | 0.978 | ||||||||
1~2年 | 0.02 | −0.81 | 0.85 | 0.955 | |||||||
2~3年 | −0.55 | −3.40 | 2.31 | 0.683 | |||||||
3年以上 | −0.15 | −2.97 | 2.67 | 0.911 | |||||||
角色功能 | <0.001 | 1.000 | |||||||||
年龄 | 17 | −0.01 | 0.05 | F (1, 15) = 0.02 | −0.11 | 0.10 | 0.894 | ||||
性别 | 17 | 0.00 | 0.01 | F (1, 15) = 0.12 | −0.01 | 0.02 | 0.737 | ||||
受教育程度 | 6 | D.n.a. | |||||||||
发表年份 | 17 | −0.04 | 0.03 | F (1, 15) = 2.33 | −0.09 | 0.02 | 0.148 | ||||
文献质量 | 17 | −0.00 | 0.08 | F (1, 15) = 0.00 | −0.17 | 0.16 | 0.978 | ||||
APS比例 | 3 | D.n.a. | |||||||||
BLIPS比例 | 2 | D.n.a. | |||||||||
GRD比例 | 2 | D.n.a. | |||||||||
COGDIS比例 | 0 | D.n.a. | |||||||||
随访时间 | 17 | F (3, 13) = 0.12 | 0.947 | ||||||||
1~2年 | −0.00 | −0.50 | 0.49 | 0.996 | |||||||
2~3年 | −0.02 | −0.80 | 0.75 | 0.949 | |||||||
3年以上 | 0.15 | −0.42 | 0.72 | 0.575 |
结果 变量 | 调节变量 | N | b Coefficient | SE | Mean Hedges’ g | F (df1, df2) | 95% CI | p value | 水平2 方差 | 水平3 方差 | |
---|---|---|---|---|---|---|---|---|---|---|---|
轻微阳性症状 | <0.001 | <0.001 | |||||||||
年龄 | 63 | 0.09 | 0.05 | F (1, 61) = 3.62 | −0.01 | 0.19 | 0.062 | ||||
性别 | 59 | 0.01 | 0.01 | F (1, 57) = 0.29 | −0.02 | 0.03 | 0.592 | ||||
受教育程度 | 23 | 0.46 | 0.20 | F (1, 21) = 5.01 | 0.03 | 0.88 | 0.036 | ||||
发表年份 | 64 | −0.02 | 0.05 | F (1, 62) = 0.21 | −0.11 | 0.07 | 0.652 | ||||
文献质量 | 64 | −0.02 | 0.16 | F (1, 62) = 0.01 | −0.34 | 0.30 | 0.911 | ||||
APS比例 | 20 | −0.01 | 0.01 | F (1, 18) = 1.39 | −0.02 | 0.01 | 0.253 | ||||
BLIPS比例 | 17 | 0.02 | 0.02 | F (1, 15) = 0.80 | −0.02 | 0.06 | 0.384 | ||||
GRD比例 | 17 | 0.01 | 0.01 | F (1, 15) = 0.28 | −0.01 | 0.02 | 0.603 | ||||
COGDIS比例 | 1 | D.n.a. | |||||||||
随访时间 | 64 | F (3, 60) = 0.01 | 0.999 | ||||||||
1~2年 | −0.02 | −0.54 | 0.51 | 0.947 | |||||||
2~3年 | −0.05 | −2.35 | 2.25 | 0.966 | |||||||
3年以上 | −0.03 | −0.58 | 0.51 | 0.907 | |||||||
阴性症状 | <0.001 | <0.001 | |||||||||
年龄 | 66 | 0.01 | 0.03 | F (1, 64) = 0.21 | −0.05 | 0.08 | 0.650 | ||||
性别 | 62 | 0.00 | 0.01 | F (1, 60) = 0.36 | −0.01 | 0.02 | 0.549 | ||||
受教育程度 | 21 | 0.32 | 0.15 | F (1, 19) = 4.40 | 0.00 | 0.63 | 0.050 | ||||
发表年份 | 67 | −0.01 | 0.03 | F (1, 65) = 0.22 | −0.07 | 0.04 | 0.639 | ||||
文献质量 | 67 | −0.07 | 0.09 | F (1, 65) = 0.63 | −0.26 | 0.11 | 0.429 | ||||
APS比例 | 21 | −0.01 | 0.01 | F (1, 19) = 1.62 | −0.03 | 0.01 | 0.219 | ||||
BLIPS比例 | 18 | −0.00 | 0.02 | F (1, 16) = 0.02 | −0.05 | 0.05 | 0.887 | ||||
GRD比例 | 18 | 0.00 | 0.01 | F (1, 16) = 0.04 | −0.02 | 0.02 | 0.847 | ||||
COGDIS比例 | 1 | D.n.a. | |||||||||
随访时间 | 67 | F (3, 63) = 0.18 | 0.909 | ||||||||
1~2年 | 0.02 | −0.32 | 0.35 | 0.925 | |||||||
2~3年 | −0.25 | −1.65 | 1.145 | 0.719 | |||||||
3年以上 | −0.14 | −0.61 | 0.33 | 0.550 | |||||||
瓦解症状 | 0.002 | 0.017 | |||||||||
年龄 | 21 | −0.09 | 0.05 | F (1, 19) = 3.30 | −0.19 | 0.01 | 0.082 | ||||
性别 | 17 | −0.01 | 0.01 | F (1, 15) = 0.99 | −0.04 | 0.02 | 0.335 | ||||
受教育程度 | 13 | −0.27 | 0.13 | F (1, 11) = 4.41 | −0.55 | 0.01 | 0.060 | ||||
发表年份 | 21 | −0.03 | 0.04 | F (1, 19) = 0.49 | −0.12 | 0.06 | 0.494 | ||||
文献质量 | 21 | −0.15 | 0.18 | F (1, 19) = 0.70 | −0.53 | 0.23 | 0.413 | ||||
APS比例 | 7 | 0.00 | 0.01 | F (1, 5) = 0.10 | −0.03 | 0.04 | 0.769 | ||||
BLIPS比例 | 5 | 0.03 | 0.05 | F (1, 3) = 0.29 | −0.13 | 0.18 | 0.626 | ||||
GRD比例 | 6 | 0.00 | 0.02 | F (1, 4) = 0.00 | −0.05 | 0.05 | 0.979 | ||||
COGDIS比例 | 1 | D.n.a. | |||||||||
随访时间 | 21 | F (2, 18) = 0.76 | 0.481 | ||||||||
1~2年 | −0.04 | −0.67 | 0.58 | 0.892 | |||||||
2~3年 | D.n.a. | ||||||||||
3年以上 | −0.38 | −1.07 | 0.30 | 0.256 | |||||||
一般精神病理症状 | 0.002 | 0.022 | |||||||||
年龄 | 26 | 0.03 | 0.04 | F (1, 24) = 0.63 | −0.05 | 0.11 | 0.434 | ||||
性别 | 22 | −0.01 | 0.01 | F (1, 20) = 0.72 | −0.03 | 0.01 | 0.405 | ||||
受教育程度 | 10 | 0.21 | 0.14 | F (1, 8) = 2.25 | −0.11 | 0.53 | 0.172 | ||||
发表年份 | 26 | 0.02 | 0.04 | F (1, 24) = 0.23 | −0.06 | 0.09 | 0.636 | ||||
文献质量 | 26 | 0.04 | 0.12 | F (1, 24) = 0.11 | −0.21 | 0.29 | 0.744 | ||||
APS比例 | 7 | −0.01 | 0.01 | F (1, 5) = 0.47 | −0.03 | 0.02 | 0.522 | ||||
BLIPS比例 | 4 | D.n.a. | |||||||||
GRD比例 | 5 | 0.02 | 0.01 | F (1, 3) = 3.68 | −0.01 | 0.04 | 0.151 | ||||
COGDIS比例 | 1 | D.n.a. | |||||||||
随访时间 | 25 | F (2, 22) = 0.28 | 0.761 | ||||||||
1~2年 | 0.12 | −0.43 | 0.66 | 0.941 | |||||||
2~3年 | D.n.a. | ||||||||||
3年以上 | −0.14 | −0.89 | 0.60 | 0.696 | |||||||
情感症状 | <0.001 | 1.000 | |||||||||
年龄 | 13 | −0.15 | 0.05 | F (1, 11) = 8.49 | −0.26 | −0.04 | 0.014 | ||||
性别 | 13 | 0.000 | 0.02 | F (1, 11) = 0.00 | −0.05 | 0.05 | 0.988 | ||||
受教育程度 | 4 | D.n.a. | |||||||||
发表年份 | 13 | −0.03 | 0.04 | F (1, 11) = 0.54 | −2.41 | 2.83 | 0.616 | ||||
文献质量 | 13 | −0.12 | 0.12 | F (1, 11) = 1.05 | −0.39 | 0.14 | 0.327 | ||||
APS比例 | 9 | −0.05 | 0.01 | F (1, 7) = 28.75 | −0.08 | −0.03 | 0.001 | ||||
BLIPS比例 | 9 | 0.19 | 0.04 | F (1, 7) = 21.28 | 0.09 | 0.28 | 0.002 | ||||
GRD比例 | 8 | −0.02 | 0.03 | F (1, 6) = 0.33 | −0.08 | 0.05 | 0.586 | ||||
COGDIS比例 | 0 | D.n.a. | |||||||||
随访时间 | 13 | F (2, 10) = 0.97 | 0.974 | ||||||||
1~2年 | −0.18 | −1.90 | 1.54 | 0.824 | |||||||
2~3年 | D.n.a. | ||||||||||
3年以上 | −0.05 | −1.11 | 1.01 | 0.920 | |||||||
整体功能 | <0.001 | 0.485 | |||||||||
年龄 | 63 | −0.04 | 0.03 | F (1, 61) = 2.37 | −0.09 | 0.01 | 0.129 | ||||
性别 | 59 | 0.00 | 0.01 | F (1, 57) = 0.00 | −0.01 | 0.02 | 0.952 | ||||
受教育程度 | 22 | −0.07 | 0.11 | F (1, 20) = 0.39 | −0.29 | 0.16 | 0.540 | ||||
发表年份 | 64 | −0.02 | 0.02 | F (1, 62) = 2.23 | −0.06 | 0.01 | 0.141 | ||||
文献质量 | 60 | −0.14 | 0.07 | F (1, 58) = 3.56 | −0.29 | 0.01 | 0.064 | ||||
APS比例 | 16 | 0.02 | 0.01 | F (1, 14) = 2.71 | −0.01 | 0.05 | 0.122 | ||||
BLIPS比例 | 15 | 0.02 | 0.03 | F (1, 13) = 0.32 | −0.04 | 0.07 | 0.581 | ||||
GRD比例 | 15 | 0.01 | 0.01 | F (1, 13) = 0.43 | −0.01 | 0.02 | 0.523 | ||||
COGDIS比例 | 2 | D.n.a. | |||||||||
随访时间 | 64 | F (3, 60) = 0.54 | 0.655 | ||||||||
1~2年 | −0.06 | −0.40 | 0.28 | 0.714 | |||||||
2~3年 | 0.34 | −0.39 | 1.08 | 0.351 | |||||||
3年以上 | −0.14 | 0.53 | −0.59 | 0.308 | |||||||
社会功能 | <0.001 | <0.001 | |||||||||
年龄 | 16 | −0.13 | 0.18 | F (1, 14) = 0.55 | −0.51 | 0.25 | 0.471 | ||||
性别 | 16 | −0.03 | 0.02 | F (1, 14) = 1.97 | −0.07 | 0.02 | 0.182 | ||||
受教育程度 | 5 | D.n.a. | |||||||||
发表年份 | 16 | 0.09 | 0.13 | F (1, 14) = 0.49 | −0.19 | 0.37 | 0.495 | ||||
文献质量 | 16 | −0.16 | 0.39 | F (1, 14) = 0.18 | −0.99 | 0.66 | 0.678 | ||||
APS比例 | 3 | D.n.a. | |||||||||
BLIPS比例 | 2 | D.n.a. | |||||||||
GRD比例 | 2 | D.n.a. | |||||||||
COGDIS比例 | 0 | D.n.a. | |||||||||
随访时间 | 16 | F (3, 12) = 0.06 | 0.978 | ||||||||
1~2年 | 0.02 | −0.81 | 0.85 | 0.955 | |||||||
2~3年 | −0.55 | −3.40 | 2.31 | 0.683 | |||||||
3年以上 | −0.15 | −2.97 | 2.67 | 0.911 | |||||||
角色功能 | <0.001 | 1.000 | |||||||||
年龄 | 17 | −0.01 | 0.05 | F (1, 15) = 0.02 | −0.11 | 0.10 | 0.894 | ||||
性别 | 17 | 0.00 | 0.01 | F (1, 15) = 0.12 | −0.01 | 0.02 | 0.737 | ||||
受教育程度 | 6 | D.n.a. | |||||||||
发表年份 | 17 | −0.04 | 0.03 | F (1, 15) = 2.33 | −0.09 | 0.02 | 0.148 | ||||
文献质量 | 17 | −0.00 | 0.08 | F (1, 15) = 0.00 | −0.17 | 0.16 | 0.978 | ||||
APS比例 | 3 | D.n.a. | |||||||||
BLIPS比例 | 2 | D.n.a. | |||||||||
GRD比例 | 2 | D.n.a. | |||||||||
COGDIS比例 | 0 | D.n.a. | |||||||||
随访时间 | 17 | F (3, 13) = 0.12 | 0.947 | ||||||||
1~2年 | −0.00 | −0.50 | 0.49 | 0.996 | |||||||
2~3年 | −0.02 | −0.80 | 0.75 | 0.949 | |||||||
3年以上 | 0.15 | −0.42 | 0.72 | 0.575 |
调节变量 | b Coefficient | 95% CI | p value | |
---|---|---|---|---|
Intercept | 6.28 | 1.34 | 11.23 | 0.02 |
年龄 | −0.24 | −0.40 | −0.07 | 0.01 |
APS比例 | −0.03 | −0.07 | 0.01 | 0.1 |
BLIPS比例 | −0.02 | −0.10 | 0.06 | 0.53 |
多重回归模型 | F (3, 5) = 5.79 | 0.04 |
调节变量 | b Coefficient | 95% CI | p value | |
---|---|---|---|---|
Intercept | 6.28 | 1.34 | 11.23 | 0.02 |
年龄 | −0.24 | −0.40 | −0.07 | 0.01 |
APS比例 | −0.03 | −0.07 | 0.01 | 0.1 |
BLIPS比例 | −0.02 | −0.10 | 0.06 | 0.53 |
多重回归模型 | F (3, 5) = 5.79 | 0.04 |
*表示元分析纳入的文献 | |
[1] |
陈必忠, 黄璇, 牛更枫, 孙晓军, 蔡志慧. (2023). 学步期至青年期社交焦虑的发展轨迹和稳定性:一项基于纵向研究的三水平元分析. 心理学报, 55(10), 1637-1652.
doi: 10.3724/SP.J.1041.2023.01637 |
[2] |
陈静, 冉光明, 张琪, 牛湘. (2022). 儿童和青少年同伴侵害与攻击行为关系的三水平元分析. 心理科学进展, 30(2), 275-290.
doi: 10.3724/SP.J.1042.2022.00275 |
[3] | 何小燕, 黄卓慧, 王诗镔, 侯彩兰. (2022). 精神病临床高危人群精神病性转化的研究进展. 广西医学, 44(21), 2555-2560. |
[4] | * 李佳, 林荫, 吉训琦, 董洁王小薇. (2022). 重复经颅磁刺激干预对精神分裂症超高危人群的影响. 临床精神医学杂志, (2), 144-146. |
[5] |
孟现鑫, 陈怡静, 王馨怡, 袁加锦, 俞德霖. (2024). 学校联结与抑郁的关系:一项三水平元分析. 心理科学进展, 32(2), 246-263.
doi: 10.3724/SP.J.1042.2024.00246 |
[6] | 杨学智, 苏映, 马贞玉, 费立鹏. (2023). 精神分裂症超高危人群保护性因素和早期干预的研究进展. 广西医科大学学报, 40(5), 709-715. |
[7] |
张亚利, 张建根, 李红霞, 姜永志. (2022). 社会经济地位与抑郁的关系:系统综述和元分析. 心理科学进展, 30(12), 2650-2665.
doi: 10.3724/SP.J.1042.2022.02650 |
[8] | * Aase, I., Langeveld, J. H., Johannessen, J. O., Joa, I., Dalen, I., & ten Velden Hegelstad, W. (2021). Cognitive predictors of longitudinal positive symptom course in clinical high risk for psychosis. Schizophrenia Research: Cognition, 26, 100210. |
[9] |
Abel, D. B., & Minor, K. S. (2021). Social functioning in schizophrenia: Comparing laboratory-based assessment with real-world measures. Journal of Psychiatric Research, 138, 500-506.
doi: 10.1016/j.jpsychires.2021.04.039 pmid: 33971484 |
[10] |
* Addington, J., Cornblatt, B. A., Cadenhead, K. S., Cannon, T. D., McGlashan, T. H., Perkins, D. O.,... Heinssen, R. (2011). At clinical high risk for psychosis: Outcome for nonconverters. American Journal of Psychiatry, 168(8), 800-805.
doi: 10.1176/appi.ajp.2011.10081191 pmid: 21498462 |
[11] |
* Addington, J., Liu, L., Farris, M. S., Goldstein, B. I., Wang, J. L., Kennedy, S. H.,... MacQueen, G. (2021). Clinical staging for youth at‐risk for serious mental illness: A longitudinal perspective. Early Intervention in Psychiatry, 15(5), 1188-1196.
doi: 10.1111/eip.13062 pmid: 33037783 |
[12] |
Addington, J., Penn, D., Woods, S. W., Addington, D., & Perkins, D. O. (2008). Social functioning in individuals at clinical high risk for psychosis. Schizophrenia Research, 99(1-3), 119-124.
doi: 10.1016/j.schres.2007.10.001 pmid: 18023329 |
[13] |
* Allen, P., Chaddock, C. A., Egerton, A., Howes, O. D., Barker, G., Bonoldi, I.,... McGuire, P. (2015). Functional outcome in people at high risk for psychosis predicted by thalamic glutamate levels and prefronto-striatal activation. Schizophrenia Bulletin, 41(2), 429-439.
doi: 10.1093/schbul/sbu115 pmid: 25123110 |
[14] | Assink, M., & Wibbelink, C. J. (2016). Fitting three-level meta-analytic models in R: A step-by-step tutorial. The Quantitative Methods for Psychology, 12(3), 154-174. |
[15] |
Baldwin, H., Radua, J., Antoniades, M., Haas, S. S., Frangou, S., Agartz, I., … ENIGMA Clinical High Risk for Psychosis Working Group. (2022). Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis. Translational Psychiatry, 12(1), 297.
doi: 10.1038/s41398-022-02057-y pmid: 35882855 |
[16] |
* Berger, M., Lavoie, S., McGorry, P. D., Nelson, B., Markulev, C., Yuen, H. P.,... Amminger, G. P. (2020). Relationship between allostatic load and clinical outcomes in youth at ultra-high risk for psychosis in the NEURAPRO study. Schizophrenia Research, 226, 38-43.
doi: 10.1016/j.schres.2018.10.002 pmid: 30340917 |
[17] |
Bergh, S., Hjorthøj, C., Sørensen, H. J., Fagerlund, B., Austin, S., Secher, R. G.,... Nordentoft, M. (2016). Predictors and longitudinal course of cognitive functioning in schizophrenia spectrum disorders, 10 years after baseline: The OPUS study. Schizophrenia Research, 175(1-3), 57-63.
doi: S0920-9964(16)30117-7 pmid: 27050475 |
[18] | * Bernard, J. A., Orr, J. M., & Mittal, V. A. (2017). Cerebello-thalamo-cortical networks predict positive symptom progression in individuals at ultra-high risk for psychosis. NeuroImage: Clinical, 14, 622-628. |
[19] |
Bolt, L. K., Amminger, G. P., Farhall, J., McGorry, P. D., Nelson, B., Markulev, C.,... Allott, K. A. (2019). Neurocognition as a predictor of transition to psychotic disorder and functional outcomes in ultra-high risk participants: Findings from the NEURAPRO randomized clinical trial. Schizophrenia Research, 206, 67-74.
doi: S0920-9964(18)30701-1 pmid: 30558978 |
[20] |
Bora, E. (2018). A neurodevelopment and neuroplasticity- based framework for early intervention in psychotic disorders. Psychological Medicine, 48(3), 353-361.
doi: 10.1017/S0033291717002045 pmid: 28799518 |
[21] |
* Carrión, R. E., Demmin, D., Auther, A. M., McLaughlin, D., Olsen, R., Lencz, T.,... Cornblatt, B. A. (2016). Duration of attenuated positive and negative symptoms in individuals at clinical high risk: Associations with risk of conversion to psychosis and functional outcome. Journal of Psychiatric Research, 81, 95-101.
doi: 10.1016/j.jpsychires.2016.06.021 pmid: 27424062 |
[22] |
Cheung, M. W.-L. (2014). Modeling dependent effect sizes with three-level meta-analyses: A structural equation modeling approach. Psychological Methods, 19(2), 211-229.
doi: 10.1037/a0032968 pmid: 23834422 |
[23] | Cohen, J. (1992). Quantitative methods in psychology: A power primer. Psychological Bulletin, 112, 1155-1159. |
[24] |
Cornblatt, B. A., Auther, A. M., Niendam, T., Smith, C. W., Zinberg, J., Bearden, C. E., & Cannon, T. D. (2007). Preliminary findings for two new measures of social and role functioning in the prodromal phase of schizophrenia. Schizophrenia Bulletin, 33(3), 688-702.
doi: 10.1093/schbul/sbm029 pmid: 17440198 |
[25] | Cotter, J., Drake, R. J., Bucci, S., Firth, J., Edge, D., & Yung, A. R. (2014). What drives poor functioning in the at-risk mental state? A systematic review. Schizophrenia Research, 159(2-3), 267-277. |
[26] |
* Cotter, J., Lin, A., Drake, R. J., Thompson, A., Nelson, B., McGorry, P.,... Yung, A. R. (2017). Long-term employment among people at ultra-high risk for psychosis. Schizophrenia Research, 184, 26-31.
doi: S0920-9964(16)30526-6 pmid: 27903412 |
[27] | * Cropley, V. L., Lin, A., Nelson, B., Reniers, R. L., Yung, A. R., Bartholomeusz, C. F.,... Pantelis, C. (2016). Baseline grey matter volume of non-transitioned “ultra high risk” for psychosis individuals with and without attenuated psychotic symptoms at long-term follow-up. Schizophrenia Research, 173(3), 152-158. |
[28] | De Pablo, G. S., Besana, F., Arienti, V., Catalan, A., Vaquerizo-Serrano, J., Cabras, A., Pereira, J., Soardo, L., Coronelli, F., … Fusar-Poli, P. (2021). Longitudinal outcome of attenuated positive symptoms, negative symptoms, functioning and remission in people at clinical high risk for psychosis: A meta-analysis. EClinicalMedicine, 36, 100909. |
[29] |
De Pablo, G. S., Soardo, L., Cabras, A., Pereira, J., Kaur, S., Besana, F., … Fusar-Poli, P. (2022). Clinical outcomes in individuals at clinical high risk of psychosis who do not transition to psychosis: A meta-analysis. Epidemiology and Psychiatric Sciences, 31, e9.
doi: 10.1017/S2045796021000639 pmid: 35042573 |
[30] | De Wit, S., Schothorst, P. F., Oranje, B., Ziermans, T. B., Durston, S., & Kahn, R. S. (2014). Adolescents at ultra-high risk for psychosis: Long-term outcome of individuals who recover from their at-risk state. European Neuropsychopharmacology, 24(6), 865-873. |
[31] |
Devoe, D. J., Braun, A., Seredynski, T., & Addington, J. (2020). Negative symptoms and functioning in youth at risk of psychosis: A systematic review and meta-analysis. Harvard Review of Psychiatry, 28(6), 341-355.
doi: 10.1097/HRP.0000000000000273 pmid: 33156155 |
[32] |
Devoe, D. J., Farris, M. S., Townes, P., & Addington, J. (2019). Interventions and social functioning in youth at risk of psychosis: A systematic review and meta-analysis. Early Intervention in Psychiatry, 13(2), 169-180.
doi: 10.1111/eip.12689 pmid: 29938910 |
[33] |
* Egerton, A., Stone, J. M., Chaddock, C. A., Barker, G. J., Bonoldi, I., Howard, R. M.,... McGuire, P. K. (2014). Relationship between brain glutamate levels and clinical outcome in individuals at ultra high risk of psychosis. Neuropsychopharmacology, 39(12), 2891-2899.
doi: 10.1038/npp.2014.143 pmid: 24917199 |
[34] | Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315(7109), 629-634. |
[35] |
Ferrarelli, F., & Mathalon, D. (2020). The prodromal phase: Time to broaden the scope beyond transition to psychosis? Schizophrenia Research, 216, 5-6.
doi: S0920-9964(19)30605-X pmid: 31924373 |
[36] |
Forbes, C., Blanchard, J. J., Bennett, M., Horan, W. P., Kring, A., & Gur, R. (2010). Initial development and preliminary validation of a new negative symptom measure: The Clinical Assessment Interview for Negative Symptoms (CAINS). Schizophrenia Research, 124(1-3), 36-42.
doi: 10.1016/j.schres.2010.08.039 pmid: 20869848 |
[37] |
Fulford, D., Mote, J., Gonzalez, R., Abplanalp, S., Zhang, Y., Luckenbaugh, J., … Gard, D. E. (2021). Smartphone sensing of social interactions in people with and without schizophrenia. Journal of Psychiatric Research, 137, 613-620.
doi: 10.1016/j.jpsychires.2020.11.002 pmid: 33190842 |
[38] |
Fusar-Poli, P., Bonoldi, I., Yung, A. R., Borgwardt, S., Kempton, M. J., Valmaggia, L., … McGuire, P. (2012). Predicting psychosis: Meta-analysis of transition outcomes in individuals at high clinical risk. Archives of General Psychiatry, 69(3), 220-229.
doi: 10.1001/archgenpsychiatry.2011.1472 pmid: 22393215 |
[39] |
Fusar-Poli, P., Borgwardt, S., Bechdolf, A., Addington, J., Riecher-Rössler, A., Schultze-Lutter, F., … Yung, A. (2013). The psychosis high-risk state: A comprehensive state-of-the-art review. JAMA Psychiatry, 70(1), 107-120.
doi: 10.1001/jamapsychiatry.2013.269 pmid: 23165428 |
[40] | * Fusar-Poli, P., Broome, M. R., Woolley, J. B., Johns, L. C., Tabraham, P., Bramon, E.,... McGuire, P. (2011). Altered brain function directly related to structural abnormalities in people at ultra high risk of psychosis: Longitudinal VBM-fMRI study. Journal of Pychiatric Research, 45(2), 190-198. |
[41] |
Fusar-Poli, P., Cappucciati, M., Borgwardt, S., Woods, S. W., Addington, J., Nelson, B., … Riecher-Rössler, A. (2016). Heterogeneity of psychosis risk within individuals at clinical high risk: A meta-analytical stratification. JAMA Psychiatry, 73(2), 113-120.
doi: 10.1001/jamapsychiatry.2015.2324 pmid: 26719911 |
[42] |
Fusar-Poli, P., De Pablo, G. S., Correll, C. U., Meyer- Lindenberg, A., Millan, M. J., Borgwardt, S.,... Arango, C. (2020). Prevention of psychosis: Advances in detection, prognosis, and intervention. JAMA Psychiatry, 77(7), 755-765.
doi: 10.1001/jamapsychiatry.2019.4779 pmid: 32159746 |
[43] | Fusar-Poli, P., McGorry, P. D., & Kane, J. M. (2017). Improving outcomes of first episode psychosis: An overview. World Psychiatry, 16(3), 251-265. |
[44] |
Gerritsen, C., Bagby, R. M., Sanches, M., Kiang, M., Maheandiran, M., Prce, I., & Mizrahi, R. (2019). Stress precedes negative symptom exacerbations in clinical high risk and early psychosis: A time-lagged experience sampling study. Schizophrenia Research, 210, 52-58.
doi: S0920-9964(19)30236-1 pmid: 31248749 |
[45] |
* Gifford, G., Crossley, N., Morgan, S., Kempton, M. J., Dazzan, P., Modinos, G.,... McGuire, P. (2021). Integrated metastate functional connectivity networks predict change in symptom severity in clinical high risk for psychosis. Human Brain Mapping, 42(2), 439-451.
doi: 10.1002/hbm.25235 pmid: 33048435 |
[46] |
* Glenthøj, L. B., Kristensen, T. D., Wenneberg, C., Hjorthøj, C., & Nordentoft, M. (2020). Experiential negative symptoms are more predictive of real-life functional outcome than expressive negative symptoms in clinical high-risk states. Schizophrenia Research, 218, 151-156.
doi: S0920-9964(20)30028-1 pmid: 31980342 |
[47] |
* Goldsmith, D. R., Haroon, E., Miller, A. H., Addington, J., Bearden, C., Cadenhead, K.,... Perkins, D. O. (2019). Association of baseline inflammatory markers and the development of negative symptoms in individuals at clinical high risk for psychosis. Brain, Behavior, and Immunity, 76, 268-274.
doi: S0889-1591(18)30453-7 pmid: 30496778 |
[48] |
Hall, R. C. (1995). Global assessment of functioning: A modified scale. Psychosomatics, 36(3), 267-275.
doi: 10.1016/S0033-3182(95)71666-8 pmid: 7638314 |
[49] |
Hesser, H., Weise, C., Westin, V. Z., & Andersson, G. (2011). A systematic review and meta-analysis of randomized controlled trials of cognitive-behavioral therapy for tinnitus distress. Clinical Psychology Review, 31(4), 545-553.
doi: 10.1016/j.cpr.2010.12.006 pmid: 21237544 |
[50] |
Hovington, C. L., Bodnar, M., Joober, R., Malla, A. K., & Lepage, M. (2012). Identifying persistent negative symptoms in first episode psychosis. BMC Psychiatry, 12, 224.
doi: 10.1186/1471-244X-12-224 pmid: 23217020 |
[51] | Jobe, T. H., & Harrow, M. (2005). Long-term outcome of patients with schizophrenia: A review. The Canadian Journal of Psychiatry, 50(14), 892-900. |
[52] | * Katagiri, N., Pantelis, C., Nemoto, T., Tsujino, N., Saito, J., Hori, M.,... Mizuno, M. (2018). Symptom recovery and relationship to structure of corpus callosum in individuals with an ‘at risk mental state’. Psychiatry Research: Neuroimaging, 272(28), 1-6. |
[53] |
Kay, S. R., Fiszbein, A., & Opler, L. A. (1987). The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13(2), 261-276.
doi: 10.1093/schbul/13.2.261 pmid: 3616518 |
[54] |
* Kim, M., Lee, T. H., Yoon, Y. B., Lee, T. Y., & Kwon, J. S. (2018). Predicting remission in subjects at clinical high risk for psychosis using mismatch negativity. Schizophrenia Bulletin, 44(3), 575-583.
doi: 10.1093/schbul/sbx102 pmid: 29036493 |
[55] |
* Kim, M., Lee, T. Y., Lee, S., Kim, S. N., & Kwon, J. S. (2015). Auditory P300 as a predictor of short-term prognosis in subjects at clinical high risk for psychosis. Schizophrenia Research, 165(2-3), 138-144.
doi: 10.1016/j.schres.2015.04.033 pmid: 25956629 |
[56] |
Kirkpatrick, B., Strauss, G. P., Nguyen, L., Fischer, B. A., Daniel, D. G., Cienfuegos, A., & Marder, S. R. (2011). The Brief Negative Symptom Scale: Psychometric Properties. Schizophrenia Bulletin, 37(2), 300-305.
doi: 10.1093/schbul/sbq059 pmid: 20558531 |
[57] | Klosterkötter, J., Schultze-Lutter, F., Bechdolf, A., & Ruhrmann, S. (2011). Prediction and prevention of schizophrenia: What has been achieved and where to go next? World Psychiatry, 10(3), 165-174. |
[58] |
* Koshiyama, D., Kirihara, K., Tada, M., Nagai, T., Fujioka, M., Ichikawa, E.,... Kasai, K. (2018). Auditory gamma oscillations predict global symptomatic outcome in the early stages of psychosis: A longitudinal investigation. Clinical Neurophysiology, 129(11), 2268-2275.
doi: S1388-2457(18)31193-3 pmid: 30216911 |
[59] |
* Koshiyama, D., Kirihara, K., Tada, M., Nagai, T., Koike, S., Suga, M.,... Kasai, K. (2017). Duration and frequency mismatch negativity shows no progressive reduction in early stages of psychosis. Schizophrenia Research, 190, 32-38.
doi: S0920-9964(17)30132-9 pmid: 28314681 |
[60] |
* Krakauer, K., Nordentoft, M., Glenthøj, B. Y., Raghava, J. M., Nordholm, D., Randers, L.,... Rostrup, E. (2018). White matter maturation during 12 months in individuals at ultra‐high‐risk for psychosis. Acta Psychiatrica Scandinavica, 137(1), 65-78.
doi: 10.1111/acps.12835 pmid: 29143980 |
[61] |
* Kristensen, T. D., Glenthøj, L. B., Raghava, J. M., Syeda, W., Mandl, R. C., Wenneberg, C.,... Ebdrup, B. H. (2021). Changes in negative symptoms are linked to white matter changes in superior longitudinal fasciculus in individuals at ultra-high risk for psychosis. Schizophrenia Research, 237, 192-201.
doi: 10.1016/j.schres.2021.09.014 pmid: 34543833 |
[62] |
* Leanza, L., Studerus, E., Mackintosh, A. J., Beck, K., Seiler, L., Andreou, C., & Riecher-Rössler, A. (2020). Predictors of study drop-out and service disengagement in patients at clinical high risk for psychosis. Social Psychiatry and Psychiatric Epidemiology, 55(5), 539-548.
doi: 10.1007/s00127-019-01796-6 pmid: 31646355 |
[63] | Li, S., Liu, C., Zhang, J., Wang, L., Hu, H., Chu, M., Wang, Y., Lv, Q., Lui, S. S. Y., Cheung, E. F. C., Yi, Z., & Chan, R. C. K. (2022). Revisiting the latent structure of negative symptoms in schizophrenia: Evidence from two second- generation clinical assessments. Schizophrenia Research, 248, 131-139. |
[64] |
* Lin, A., Brewer, W. J., Yung, A. R., Nelson, B., Pantelis, C., & Wood, S. J. (2015). Olfactory identification deficits at identification as ultra-high risk for psychosis are associated with poor functional outcome. Schizophrenia Research, 161(2-3), 156-162.
doi: 10.1016/j.schres.2014.10.051 pmid: 25476117 |
[65] |
* Lin, A., Wood, S. J., Nelson, B., Brewer, W. J., Spiliotacopoulos, D., Bruxner, A.,... Yung, A. R. (2011). Neurocognitive predictors of functional outcome two to 13 years after identification as ultra-high risk for psychosis. Schizophrenia Research, 132(1), 1-7.
doi: 10.1016/j.schres.2011.06.014 pmid: 21763109 |
[66] |
* Lin, A., Yung, A. R., Nelson, B., Brewer, W. J., Riley, R., Simmons, M.,... Wood, S. J. (2013). Neurocognitive predictors of transition to psychosis: Medium-to long-term findings from a sample at ultra-high risk for psychosis. Psychological Medicine, 43(11), 2349-2360.
doi: 10.1017/S0033291713000123 pmid: 23388122 |
[67] | * Masillo, A., Brandizzi, M., Valmaggia, L. R., Saba, R., Lo Cascio, N., Lindau, J. F.,... Fiori Nastro, P. (2018). Interpersonal sensitivity and persistent attenuated psychotic symptoms in adolescence. European Child & Adolescent Psychiatry, 27(3), 309-318. |
[68] | McGlashan, T., Walsh, B., & Woods, S. (2010). The psychosis-risk syndrome: Handbook for diagnosis and follow-up. Oxford University Press. |
[69] | McGorry, P. D., Hickie, I. B., Yung, A. R., Pantelis, C., & Jackson, H. J. (2006). Clinical staging of psychiatric disorders: A heuristic framework for choosing earlier, safer and more effective interventions. Australian & New Zealand Journal of Psychiatry, 40(8), 616-622. |
[70] |
* Meyer, E. C., Carrión, R. E., Cornblatt, B. A., Addington, J., Cadenhead, K. S., Cannon, T. D., … Seidman, L. J. (2014). The relationship of neurocognition and negative symptoms to social and role functioning over time in individuals at clinical high risk in the first phase of the North American Prodrome Longitudinal Study. Schizophrenia Bulletin, 40(6), 1452-1461.
doi: 10.1093/schbul/sbt235 pmid: 24550526 |
[71] |
* Morita, K., Kobayashi, H., Takeshi, K., Tsujino, N., Nemoto, T., & Mizuno, M. (2014). Poor outcome associated with symptomatic deterioration among help-seeking individuals at risk for psychosis: A naturalistic follow-up study. Early Intervention in Psychiatry, 8(1), 24-31.
doi: 10.1111/eip.12032 pmid: 23343086 |
[72] | Oorschot, M., Lataster, T., Thewissen, V., Lardinois, M., van Os, J., Delespaul, P. A. E. G., & Myin-Germeys, I. (2012). Symptomatic remission in psychosis and real-life functioning. The British Journal of Psychiatry, 201(3), 215-220. |
[73] |
* Oribe, N., Hirano, Y., Del Re, E., Seidman, L. J., Mesholam-Gately, R. I., Woodberry, K. A.,... Spencer, K. M. (2019). Progressive reduction of auditory evoked gamma in first episode schizophrenia but not clinical high risk individuals. Schizophrenia Research, 208, 145-152.
doi: S0920-9964(19)30119-7 pmid: 31005464 |
[74] | * Paetzold, I., Hermans, K. S. F. M., Schick, A., Nelson, B., Velthorst, E., Schirmbeck, F., … Reininghaus, U. (2021). Momentary manifestations of negative symptoms as predictors of clinical outcomes in people at high risk for psychosis: Experience sampling study. JMIR Mental Health, 8(11), e30309. |
[75] |
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., … Moher, D. (2021). Updating guidance for reporting systematic reviews: Development of the PRISMA 2020 statement. Journal of Clinical Epidemiology, 134, 103-112.
doi: 10.1016/j.jclinepi.2021.02.003 pmid: 33577987 |
[76] |
* Patton, H. N., Cowan, H. R., & Mittal, V. A. (2021). Changes in core beliefs over time predict symptoms and functioning in clinical high risk for psychosis. Early Intervention in Psychiatry, 16(3), 311-315.
doi: 10.1111/eip.13156 pmid: 33938147 |
[77] | * Pelizza, L., Leuci, E., Quattrone, E., Azzali, S., Paulillo, G., Pupo, S.,... Menchetti, M. (2024). Baseline antipsychotic prescription and short‐term outcome indicators in individuals at clinical high‐risk for psychosis: Findings from the Parma At‐Risk Mental States (PARMS) program. Early Intervention in Psychiatry, 18(2), 71-81. |
[78] |
* Perez, V. B., Shafer, K. M., & Cadenhead, K. S. (2012). Visual information processing dysfunction across the developmental course of early psychosis. Psychological Medicine, 42(10), 2167-2179.
doi: 10.1017/S0033291712000426 pmid: 22717191 |
[79] | Poletti, M., Pelizza, L., Azzali, S., Paterlini, F., Garlassi, S., Scazza, I.,... Andrea, R. (2019). Clinical high risk for psychosis in childhood and adolescence: Findings from the 2-year follow-up of the ReARMS project. European Child & Adolescent Psychiatry, 28(7), 957-971. |
[80] |
* Reniers, R. L., Lin, A., Yung, A. R., Koutsouleris, N., Nelson, B., Cropley, V. L.,... Wood, S. J. (2017). Neuroanatomical predictors of functional outcome in individuals at ultra-high risk for psychosis. Schizophrenia Bulletin, 43(2), 449-458.
doi: 10.1093/schbul/sbw086 pmid: 27369472 |
[81] | Rosenthal, R. (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3), 638-641. |
[82] | Rosnow, R. L., & Rosenthal, R. (2003). Effect sizes for experimenting psychologists. Canadian Journal of Experimental Psychology, 57(3), 221-237. |
[83] | * Saito, J., Hori, M., Nemoto, T., Katagiri, N., Shimoji, K., Ito, S.,... Mizuno, M. (2017). Longitudinal study examining abnormal white matter integrity using a tract‐specific analysis in individuals with a high risk for psychosis. Psychiatry and Clinical Neurosciences, 71(8), 530-541. |
[84] |
* Salokangas, R. K., From, T., Ilonen, T., Luutonen, S., Heinimaa, M., Armio, R. L.,... Hietala, J. (2021). Short-term functional outcome in psychotic patients: Results of the Turku early psychosis study (TEPS). BMC Psychiatry, 21(1), 602.
doi: 10.1186/s12888-021-03516-4 pmid: 34856968 |
[85] |
* Sanada, K., de Azúa, S. R., Nakajima, S., Alberich, S., Ugarte, A., Zugasti, J.,... González-Pinto, A. (2018). Correlates of neurocognitive functions in individuals at ultra-high risk for psychosis-A 6-month follow-up study. Psychiatry Research, 268, 1-7.
doi: S0165-1781(18)30343-3 pmid: 29986171 |
[86] | Schultze-Lutter, F., Addington, J., Ruhrmann, S., & Klosterkötter, J. (2007). Schizophrenia proneness instrument, adult version (SPI-A). Giovanni FioritiCollane libri scienze. |
[87] | Schultze-Lutter, F., Klosterkötter, J., Picker, H., Steinmeyer, E. M., & Ruhrmann, S. (2007). Predicting first-episode psychosis by basic symptom criteria. Clinical Neuropsychiatry: Journal of Treatment Evaluation, 4(1), 11-22. |
[88] | Schultze-Lutter, F., & Koch, E. (2010). Schizophrenia Proneness Instrument: child and youth version (SPI-CY) (p. 98). Fioriti. |
[89] |
* Schultze-Lutter, F., Michel, C., Schmidt, S. J., Schimmelmann, B., Maric, N., Salokangas, R., … Klosterkötter, J. (2015). EPA guidance on the early detection of clinical high risk states of psychoses. European Psychiatry, 30(3), 405-416.
doi: 10.1016/j.eurpsy.2015.01.010 pmid: 25735810 |
[90] | * Shin, Y. S., Kim, S.-Y., Lee, T. Y., Hur, J.-W., Shin, N. Y., Kim, S. N., Shin, M.-S., & Kwon, J. S. (2016). Longitudinal change in neurocognition and its relation to symptomatic and functional changes over 2 years in individuals at clinical high-risk for psychosis. Schizophrenia Research, 174(1-3), 50-57. |
[91] |
Simon, A. E., Umbricht, D., Lang, U. E., & Borgwardt, S. (2014). Declining transition rates to psychosis: The role of diagnostic spectra and symptom overlaps in individuals with attenuated psychosis syndrome. Schizophrenia Research, 159(2-3), 292-298.
doi: 10.1016/j.schres.2014.09.016 pmid: 25263994 |
[92] |
Simon, A. E., Velthorst, E., Nieman, D. H., Linszen, D., Umbricht, D., & de Haan, L. (2011). Ultra high-risk state for psychosis and non-transition: A systematic review. Schizophrenia Research, 132(1), 8-17.
doi: 10.1016/j.schres.2011.07.002 pmid: 21784618 |
[93] | Solmi, M., Seitidis, G., Mavridis, D., Correll, C. U., Dragioti, E., Guimond, S., … Cortese, S. (2023). Incidence, prevalence, and global burden of schizophrenia-data, with critical appraisal, from the Global Burden of Disease (GBD) 2019. Molecular Psychiatry, 28(12), 5319-5327. |
[94] | * Susai, S. R., Mongan, D., Healy, C., Cannon, M., Nelson, B., Markulev, C.,... Amminger, G. P. (2022). The association of plasma inflammatory markers with omega-3 fatty acids and their mediating role in psychotic symptoms and functioning: An analysis of the NEURAPRO clinical trial. Brain, Behavior, and Immunity, 99, 147-156. |
[95] | * Tateno, T., Higuchi, Y., Nakajima, S., Sasabayashi, D., Nakamura, M., Ueno, M.,... Suzuki, M. (2021). Features of duration mismatch negativity around the onset of overt psychotic disorders: A longitudinal study. Cerebral Cortex, 31(5), 2416-2424. |
[96] | * Usui, K., Kirihara, K., Tada, M., Fujioka, M., Koshiyama, D., Tani, M., … Kasai, K. (2022). The association between clinical symptoms and later subjective quality of life in individuals with ultra‐high risk for psychosis and recent- onset psychotic disorder: A longitudinal investigation. Psychiatry and Clinical Neurosciences, 76(11), 552-559. |
[97] | * Værnes, T. G., Røssberg, J. I., Melle, I., Nelson, B., Romm, K. L., & Møller, P. (2022). Basic self-disturbance trajectories in clinical high risk for psychosis: A one-year follow-up study. European Archives of Psychiatry and Clinical Neuroscience, 272(6), 1007-1019. |
[98] |
* Velthorst, E., Meyer, E. C., Giuliano, A. J., Addington, J., Cadenhead, K. S., Cannon, T. D.,... Seidman, L. J. (2019). Neurocognitive profiles in the prodrome to psychosis in NAPLS-1. Schizophrenia Research, 204, 311-319.
doi: S0920-9964(18)30482-1 pmid: 30078717 |
[99] |
* Velthorst, E., Nieman, D. H., Klaassen, R. M. C., Becker, H. E., Dingemans, P. M., Linszen, D. H., & De Haan, L. (2011). Three‐year course of clinical symptomatology in young people at ultra high risk for transition to psychosis. Acta Psychiatrica Scandinavica, 123(1), 36-42.
doi: 10.1111/j.1600-0447.2010.01593.x pmid: 20712825 |
[100] |
Velthorst, E., Zinberg, J., Addington, J., Cadenhead, K. S., Cannon, T. D., Carrión, R. E., … Bearden, C. E. (2018). Potentially important periods of change in the development of social and role functioning in youth at clinical high risk for psychosis. Development and Psychopathology, 30(1), 39-47.
doi: 10.1017/S0954579417000451 pmid: 28420458 |
[101] | Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1-48. |
[102] |
* Willhite, R. K., Niendam, T. A., Bearden, C. E., Zinberg, J., O'Brien, M. P., & Cannon, T. D. (2008). Gender differences in symptoms, functioning and social support in patients at ultra-high risk for developing a psychotic disorder. Schizophrenia Research, 104(1-3), 237-245.
doi: 10.1016/j.schres.2008.05.019 pmid: 18573639 |
[103] |
* Yung, A. R., Cotter, J., Wood, S. J., McGorry, P., Thompson, A. D., Nelson, B., & Lin, A. (2015). Childhood maltreatment and transition to psychotic disorder independently predict long-term functioning in young people at ultra-high risk for psychosis. Psychological Medicine, 45(16), 3453-3465.
doi: 10.1017/S003329171500135X pmid: 26166153 |
[104] |
Yung, A. R., McGorry, P. D., McFarlane, C. A., Jackson, H. J., Patton, G. C., & Rakkar, A. (1996). Monitoring and care of young people at incipient risk of psychosis. Schizophrenia Bulletin, 22(2), 283-303.
pmid: 8782287 |
[105] | Yung, A. R., Phillips, L. J., Nelson, B., Francey, S. M., PanYuen, H., Simmons, M. B.,... McGorry, P. D. (2010). Randomized controlled trial of interventions for young people at ultra high risk for psychosis: 6-month analysis. The Journal of Clinical Psychiatry, 71(4), 16654. |
[106] | Yung, A. R., Yung, A. R., Pan Yuen, H., Mcgorry, P. D., Phillips, L. J., Kelly, D.,... Buckby, J. (2005). Mapping the onset of psychosis: the comprehensive assessment of at-risk mental states. Australian & New Zealand Journal of Psychiatry, 39(11-12), 964-971. |
[107] | * Zhang, T., Wang, J., Xu, L., Wei, Y., Tang, X., Hu, Y.,... Wang, J. (2022). Further evidence that antipsychotic medication does not prevent long-term psychosis in higher-risk individuals. European Archives of Psychiatry and Clinical Neuroscience, 272(4), 591-602. |
[108] | * Ziermans, T., de Wit, S., Schothorst, P., Sprong, M., van Engeland, H., Kahn, R., & Durston, S. (2014). Neurocognitive and clinical predictors of long-term outcome in adolescents at ultra-high risk for psychosis: A 6-year follow-up. PloS One, 9(4), e93994. |
[109] | * Ziermans, T., Schothorst, P., Magnée, M., van Engeland, H., & Kemner, C. (2011). Reduced prepulse inhibition in adolescents at risk for psychosis: A 2-year follow-up study. Journal of Psychiatry and Neuroscience, 36(2), 127-134. |
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