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. 2018 Apr;57(4):263-273.e1.
doi: 10.1016/j.jaac.2018.01.018. Epub 2018 Feb 13.

Suicidal Thoughts and Behaviors Among First-Year College Students: Results From the WMH-ICS Project

Collaborators, Affiliations

Suicidal Thoughts and Behaviors Among First-Year College Students: Results From the WMH-ICS Project

Philippe Mortier et al. J Am Acad Child Adolesc Psychiatry. 2018 Apr.

Abstract

Objective: College entrance may be a strategically well-placed "point of capture" for detecting late adolescents with suicidal thoughts and behaviors (STB). However, a clear epidemiological picture of STB among incoming college students is lacking. We present the first cross-national data on prevalence as well as socio-demographic and college-related correlates for STB among first-year college students.

Method: Web-based self-report surveys were obtained from 13,984 first-year students (response rate 45.5%) across 19 colleges in 8 countries (Australia, Belgium, Germany, Mexico, Northern Ireland, South Africa, Spain, and the United States).

Results: Lifetime prevalence of suicidal ideation, plans, and attempts was 32.7%, 17.5%, and 4.3%, respectively. The 12-month prevalence was 17.2%, 8.8%, and 1.0%, respectively. About three-fourths of STB cases had onset before the age of 16 years (Q3 = 15.8), with persistence figures in the range of 41% to 53%. About one-half (53.4%) of lifetime ideators transitioned to a suicide plan; 22.1% of lifetime planners transitioned to an attempt. Attempts among lifetime ideators without plan were less frequent (3.1%). Significant correlates of lifetime STB were cross-nationally consistent and generally modest in effect size (median adjusted odds ratio [aOR] = 1.7). Nonheterosexual orientation (aOR range 3.3-7.9) and heterosexual orientation with some same-sex attraction (aOR range 1.9-2.3) were the strongest correlates of STB, and of transitioning from ideation to plans and/or attempts (aOR range 1.6-6.1).

Conclusion: The distribution of STB in first-year students is widespread, and relatively independent of socio-demographic risk profile. Multivariate risk algorithms based on a high number of risk factors are indicated to efficiently link high-risk status with effective preventive interventions.

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Conflict of interest statement

Declaration of interest

In the past 3 years, Dr. Kessler received support for his epidemiological studies from Sanofi Aventis; was a consultant for Johnson & Johnson Wellness and Prevention, Shire, Takeda; and served on an advisory board for the Johnson & Johnson Services Inc. Lake Nona Life Project. Kessler is a co-owner of DataStat, Inc., a market research firm that carries out healthcare research. Dr. Ebert reports to have received consultancy fees/served in the scientific advisory board from several companies such as Minddistrict, Lantern, Schoen Kliniken and German health insurance companies (BARMER, Techniker Krankenkasse). He is also stakeholder of the Institute for health training online (GET.ON), which aims to implement scientific findings related to digital health interventions into routine care. The other co-authors have no biomedical financial interests or potential conflicts of interest to declare.

Figures

Figure 1.
Figure 1.
Cumulative age of onset distribution for suicidal thoughts and behaviors (STB) in the WMH-ICS. Note: projected age of onset distributions are based on first-year students only, limiting the representativeness of the estimated distributions above age 18–19 years (i.e., the typical age of entering college).

References

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