Correlates of past year suicidal thoughts among sexual and gender minority young adults: A machine learning analysis

被引:8
|
作者
Kundu, Anasua [2 ,3 ,11 ]
Fu, Rui [4 ,5 ]
Grace, Daniel [5 ]
Logie, Carmen [6 ,7 ]
Abramovich, Alex [1 ,2 ,5 ]
Baskerville, Bruce [8 ,9 ]
Yager, Christina [2 ]
Schwartz, Robert [2 ,3 ,5 ]
Mitsakakis, Nicholas [5 ,10 ]
Planinac, Lynn [3 ]
Chaiton, Michael [2 ,3 ,5 ]
机构
[1] Univ Toronto, Inst Med Sci, Toronto, ON, Canada
[2] Ctr Addict & Mental Hlth, Toronto, ON, Canada
[3] Univ Toronto, Ontario Tobacco Res Unit, Toronto, ON, Canada
[4] Univ Toronto, Sunnybrook Res Inst, Dept Otolaryngol Head & Neck Surg, Toronto, ON, Canada
[5] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
[6] Univ Toronto, Factor Inwentash Fac Social Work, Toronto, ON, Canada
[7] United Nations Univ Inst Water, Environm & Hlth, Hamilton, ON, Canada
[8] Canadian Inst Hlth Res, Ottawa, ON, Canada
[9] Univ Waterloo, Fac Sci, Sch Pharm, Kitchener, ON, Canada
[10] Childrens Hosp Eastern Ontario Res Inst, Ottawa, ON, Canada
[11] Univ Toronto, Temerty Fac Med, Toronto, ON, Canada
基金
加拿大健康研究院;
关键词
Machine learning; Mental health; Suicide; Sexual and gender minority; Young adult; MENTAL-HEALTH; LIFETIME PREVALENCE; GAY; RISK; POPULATION; ADOLESCENTS; IDEATION; IDENTITY; SAMPLE;
D O I
10.1016/j.jpsychires.2022.06.013
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Sexual and gender minority populations are at elevated risk of experiencing suicidal thoughts and attempting suicide. The COVID-19 pandemic exacerbated mental health and substance use challenges among this population. We aimed to examine the relative importance and effects of intersectional factors and strong interactions associated with the risk of suicidal thoughts among Canadian lesbian, gay, bisexual, transgender, queer, questioning, intersex and Two Spirit (LGBTQI2S+) young adults. A cross-sectional online survey was conducted among LGBTQI2S + participants aged 16-29 years living in two Canadian provinces (Ontario, Quebec). Among 1414 participants (mean age 21.90 years), 61% (n = 857) participants reported suicidal thoughts in last 12 months. We built a random forest model to predict the risk of having past year suicidal thoughts, which achieved high performance with an area under the receiver operating characteristic curve (AUC) of 0.84. The top 10 correlates identified were: seeking help from health professionals for mental health or substance use issues since the start of the pandemic, current self-rated mental health status, insulted by parents or adults in childhood, ever heard that being identifying as LGBTQI2S+ is not normal, age in years, past week feeling depressed, lifetime diagnosis of mental illness, lifetime diagnosis of depressive disorder, past week feeling sad, ever pretended to be straight or cisgender to be accepted. The increase in the risk of suicidal thoughts for those having mental health challenges or facing minority stressors is more pronounced in those living in urban areas or being unemployed than those living in rural areas or being employed.
引用
收藏
页码:269 / 277
页数:9
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