广西性少数大学生心理健康状况与童年期不良经历的关联

董铭洺; 文俊上; 黄东萍; 刘慧; 梁然

doi:10.16835/j.cnki.1000-9817.2025308

广西性少数大学生心理健康状况与童年期不良经历的关联

doi: 10.16835/j.cnki.1000-9817.2025308

董铭洺^{1, 2},
文俊上³,
黄东萍^3, ,,
刘慧⁴,
梁然⁵

1.
广西医科大学马克思主义学院，南宁 530021
2.
广西医科大学学生工作处，南宁 530021
3.
广西医科大学公共卫生学院，南宁 530021
4.
桂林医科大学公共卫生学院，南宁 530021
5.
广西科技大学党委宣传部，南宁 530021

基金项目:

国家自然科学基金项目 22366007

广西高校中青年教师科研基础能力提升项目 2022KY0065

详细信息

作者简介:
董铭洺(1986-)，女，河北沧州人，博士，副教授，主要研究方向为大学生心理健康促进

通讯作者:
黄东萍，E-mail：dongpinghuang@gxmu.edu.cn

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 B844.2 G78 C913.5
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- 被引次数: 0
出版历程
- 收稿日期: 2025-06-20
- 修回日期: 2025-08-02
- 刊出日期: 2025-10-25

Association between mental health status and adverse childhood experiences among sexual minority college students in Guangxi

1.
School of Marxism, Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China

摘要

摘要: 目的探讨性少数大学生心理健康状况与童年期不良经历(ACEs)的关联，为高校心理健康教育与健康促进提供科学依据。方法 2024年1—2月，采用方便抽样与整群抽样相结合的方法选取广西11所高校1 792名大学生，采用自我报告法筛查性少数群体(476名)，运用症状自评量表(SCL-90)、简体中文版童年期不良经历国际量表(SC-ACE-IQ)调查其心理健康与ACEs情况，并使用多因素Logistic回归分析两者关联。结果广西性少数大学生心理健康问题及各因子检出率均高于非性少数群体(χ²=56.01~91.39，P值均 < 0.01)。除身体忽视、霸凌、社区暴力外，性少数大学生其余各种类型ACEs报告率均高于非性少数群体(χ²=4.52~13.34，P值均 < 0.05)。大学生ACEs总分为1.00(1.00, 2.00)分，SCL-90总分为96.00(113.00, 160.00)分。Spearman相关分析显示，ACEs总分与SCL-90总分呈正相关(r=0.29)；ACEs中情感忽视、身体忽视、情感虐待、性虐待、失去父母、家庭暴力、社区暴力因子与SCL-90各因子得分均呈正相关(r=0.05~0.22)(P值均 < 0.05)。多因素Logistic回归分析结果显示，家庭暴力会增加性少数大学生心理健康问题的风险(OR=1.61，95%CI=1.26~2.09)；情感忽视(OR=1.05，95%CI=1.00~1.10)、身体忽视(OR=1.20，95%CI=1.06~1.35)、性虐待(OR=1.49，95%CI=1.15~1.93)均会增加非性少数大学生心理健康问题的风险；在总样本和两类群体中，ACEs的累积效应均有统计学意义(P值均 < 0.05)。结论广西性少数大学生心理健康状况与ACEs存在关联，应积极关注有ACEs大学生的心理健康状况。
- 精神卫生 /
- 生活变动事件 /
- 回归分析 /
- 学生
Abstract: Objective To explore the association between mental health status and adverse childhood experiences (ACEs) among sexual minority college students, so as to provide a scientific basis for mental health education and health promotion in universities. Methods From January to February 2024, convenience and cluster sampling methods were used to select 1 792 college students from 11 colleges in Guangxi. A self-reporting method was applied to identify 476 sexual minority individuals. The Symptom Check-List 90 (SCL-90) and the Simplified Chinese Adverse Childhood Experiences International Questionnaire (SC-ACE-IQ) were employed to assess mental health and ACEs. Multivariate Logistic regression analysis was conducted to examine the associations. Results The detection rates of all psychological issues among sexual minority college students in Guangxi were significantly higher than those of non-sexual minority college students (χ²=56.01-91.39, all P < 0.01). Except for physical neglect, bullying, and community violence, sexual minority students exhibited higher reporting rates of other ACEs types compared to non-sexual minority students (χ²=4.52-13.34, all P < 0.05). The total ACEs score for college students was 1.00 (1.00, 2.00), while the SCL-90 total score was 96.00 (113.00, 160.00). Spearman correlation analysis revealed a positive correlation between ACEs total scores and SCL-90 total scores (r=0.29, P < 0.05). Additionally, all ACEs subscales, including emotional neglect, physical neglect, emotional abuse, sexual abuse, parental loss, domestic violence, and community violence were positively correlated with corresponding SCL-90 subscale scores (r=0.05-0.22, all P < 0.05). Multivariate Logistic regression analysis showed that family violence increased the risk of mental health issues for sexual minority students (OR=1.61, 95%CI=1.26-2.09); emotional neglect (OR=1.05, 95%CI=1.00-1.10), physical neglect (OR=1.20, 95%CI=1.06-1.35), sexual abuse (OR=1.49, 95%CI=1.15-1.93) increased mental health risks for non-sexual minority students (all P < 0.05). The cumulative effects of ACEs were all statistically significant in the total sample and both subgroups (all P < 0.05). Conclusion Mental health status among sexual minority college students in Guangxi is associated with ACEs, and their well-being requires active attention
- Mental health /
- Life change events /
- Regression analysis /
- Students
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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表 1 性少数与非性少数大学生心理健康问题及各因子检出率比较

Table 1. Comparison of detection rates of psychological problems in sexual minority and non-sexual minority college students

组别	人数	躯体化	强迫	人际关系敏感	抑郁	焦虑	敌对	恐怖	偏执	精神病性	其他	心理健康问题
性少数	476	98(20.59)	215(45.17)	175(36.76)	171(35.92)	131(27.52)	121(25.42)	121(25.42)	118(24.79)	131(27.52)	146(30.67)	186(39.08)
非性少数	1 316	102(7.75)	348(26.44)	240(18.24)	205(15.58)	148(11.25)	108(8.21)	136(10.33)	121(9.19)	136(10.33)	165(12.54)	258(19.60)
总体	1 792	200(11.16)	563(31.42)	415(23.16)	376(20.98)	279(15.57)	229(12.78)	257(14.34)	239(13.34)	267(14.90)	311(17.35)	444(24.78)
χ²值		56.81	56.01	66.39	86.06	69.20	91.39	63.54	72.21	80.08	78.89	70.06
P值		< 0.01	< 0.01	< 0.01	< 0.01	< 0.01	< 0.01	< 0.01	< 0.01	< 0.01	< 0.01	< 0.01
注： ()内数字为检出率/%。

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表 2 性少数和非性少数大学生ACEs报告率比较

Table 2. Comparison of report rates of ACEs among sexual minority and non-sexual minority college students

组别	人数	情感忽视	身体忽视	情感虐待	身体虐待	性虐待	家庭中有酒精或毒品滥用者	家庭精神病史
性少数	476	218(45.80)	80(16.81)	53(11.13)	32(6.72)	54(11.34)	20(4.20)	20(4.20)
非性少数	1 316	506(38.45)	195(14.82)	92(6.99)	51(3.88)	89(6.76)	26(1.98)	25(1.90)
总体	1 792	724(40.40)	275(15.35)	145(8.09)	83(4.63)	143(7.98)	46(2.57)	45(2.51)
χ²值		7.54	0.92	7.52	5.79	9.38	6.06	6.66
P值		< 0.01	0.34	< 0.01	0.02	< 0.01	0.01	0.01

组别	人数	家庭成员被监禁	失去父母	家庭暴力	霸凌	社区暴力	经历≥1种ACEs	经历≥4种ACEs
性少数	476	20(4.20)	104(21.85)	140(29.41)	72(15.13)	49(10.29)	358(75.21)	77(16.18)
非性少数	1 316	29(2.20)	199(15.12)	282(21.43)	224(17.02)	119(9.04)	917(69.68)	129(9.80)
总体	1 792	49(2.73)	303(16.91)	422(23.55)	296(16.52)	168(9.38)	1 275(71.15)	206(11.50)
χ²值		4.52	10.79	11.93	0.78	0.51	4.94	13.34
P值		0.03	< 0.01	< 0.01	0.38	0.48	0.03	< 0.01
注： ()内数字为报告率/%。

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表 3 大学生ACEs与SCL-90得分的相关性(r值，n=1 792)

Table 3. Correlation between ACEs and SCL-90 scores among college students(r, n=1 792)

变量	情感忽视	身体忽视	情感虐待	身体虐待	性虐待	家庭中有酒精或毒品滥用者	家庭精神病史	家庭成员被监禁	失去父母	家庭暴力	霸凌	社区暴力	ACEs总分
躯体化	0.14^*	0.12^**	0.14^**	0.09^**	0.14^**	0.06*	0.07^**	0.06^*	0.08^**	0.20^**	-0.01	0.10^**	0.24^**
强迫	0.19^**	0.11^**	0.13^**	0.09^**	0.12^*	0.05	0.08^**	0.02	0.06^**	0.22^**	0.01	0.10^**	0.27^**
人际关系敏感	0.20^**	0.10^**	0.13^**	0.11^**	0.15^**	0.05^*	0.09^**	0.03	0.07^**	0.21^**	0.02	0.10^**	0.29^**
抑郁	0.19^**	0.12^**	0.14^**	0.08^**	0.15^**	0.05^*	0.06^**	0.03	0.08^**	0.20^**	0.03	0.10^**	0.28^**
焦虑	0.15^**	0.13^**	0.13^**	0.08^**	0.14^**	0.04	0.05	0.02	0.06^*	0.20^**	0.01	0.09^**	0.25^**
敌对	0.14^**	0.13^**	0.15^**	0.10^**	0.11^**	0.05^*	0.06^**	0.02	0.07^**	0.20^**	-0.01	0.10^**	0.24^**
恐怖	0.12^**	0.11^**	0.07^**	0.03	0.13^**	0.04	0.05	0.03	0.05^*	0.14^**	-0.00	0.05^*	0.18^**
偏执	0.16^**	0.14^**	0.14^**	0.09^**	0.13^**	0.03	0.08^**	0.01	0.06^**	0.18^**	0.04	0.09^**	0.25^**
精神病性	0.16^**	0.13^**	0.14^**	0.08^**	0.15^**	0.04	0.06^**	0.03	0.06^**	0.19^**	0.02	0.08^**	0.25^**
其他	0.14^**	0.12^**	0.14^**	0.08^**	0.13^**	0.03	0.08^**	0.04	0.05^*	0.21^**	0.03	0.12^**	0.25^**
SCL-90总分	0.20^**	0.12^**	0.15^**	0.09^**	0.15^**	0.05^*	0.08^**	0.03	0.07^**	0.22^**	0.02	0.11^**	0.29^**
注： ^P < 0.05，^*P < 0.01。

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表 4 性少数与非性少数大学生心理健康问题与ACEs多因素Logistic回归分析[OR值(95%CI)]

Table 4. Multivariate Logistic regression analysis of mental health problems of sexual and non-sexual minority college students and ACEs[OR(95%CI)]

ACEs类型	总样本(n=1 792)	性少数(n=476)	非性少数(n=1 316)
情感忽视	1.06(1.02~1.10)^**	1.05(0.99~1.12)	1.05(1.00~1.10)^*
身体忽视	1.18(1.08~1.28)^**	1.13(0.97~1.31)	1.20(1.06~1.35)^**
情感虐待	1.04(0.70~1.53)	0.91(0.45~1.85)	1.18(0.70~1.98)
身体虐待	1.06(0.70~1.60)	0.82(0.38~1.78)	1.14(0.65~1.93)
性虐待	1.23(1.04~1.47)^*	0.91(0.70~1.18)	1.49(1.15~1.93)^**
家庭中有酒精或毒品滥用者	0.69(0.31~1.48)	0.45(0.12~1.58)	0.75(0.24~2.05)
家庭精神病史	1.21(0.60~2.37)	1.05(0.34~3.22)	1.24(0.46~3.10)
家庭成员被监禁	0.97(0.46~1.95)	1.42(0.42~4.74)	0.86(0.30~2.22)
失去父母	1.15(0.80~1.65)	1.02(0.54~1.92)	1.22(0.74~1.96)
家庭暴力	1.20(1.05~1.37)^**	1.61(1.26~2.09)^**	1.03(0.86~1.24)
霸凌	0.79(0.44~1.39)	1.17(0.51~2.67)	0.68(0.25~1.60)
社区暴力	1.13(0.85~1.47)	1.47(0.83~2.69)	1.08(0.76~1.48)
经历≥1种ACEs	1.68(1.27~2.24)^**	1.91(1.16~3.22)^*	1.56(1.10~2.24)^*
经历≥4种ACEs	2.35(1.68~3.28)^**	2.41(1.33~4.45)^**	2.05(1.32~3.15)^**
注： ^P < 0.05，^*P < 0.01。

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