Background Depression is common and frequently undiagnosed among college students. Social networking sites are popular among college students and can include displayed depression references. The purpose of this study was to evaluate college students' Facebook disclosures that met DSM criteria for a depression symptom or a major depressive episode (MDE). Methods We selected public Facebook profiles from sophomore and junior undergraduates and evaluated personally written text: “status updates.” We applied DSM criteria to one year of status updates from each profile to determine prevalence of displayed depression symptoms and MDE criteria. Negative binomial regression analysis was used to model the association between depression disclosures and demographics or Facebook use characteristics. Results A total of 200 profiles were evaluated, profile owners were 43.5% female with a mean age of 20 years. Overall, 25% of profiles displayed depressive symptoms and 2.5% met criteria for MDE. Profile owners were more likely to reference depression if they averaged at least one online response from their friends to a status update disclosing depressive symptoms (exp(B)=2.1, p<0.001), or if they used Facebook more frequently (p<0.001). Conclusion College students commonly display symptoms consistent with depression on Facebook. Our findings suggest that those who receive online reinforcement from their friends are more likely to discuss their depressive symptoms publicly on Facebook. Given the frequency of depression symptom displays on public profiles, SNSs could be an innovative avenue for combating stigma surrounding mental health conditions, or for identifying students at risk for depression.

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Internet addiction is a growing concern; however, both a clear understanding of the mechanisms driving problematic behaviors and a gold standard instrument for assessing symptoms are lacking. The purpose of this study was to perform a psychometric analysis of the most widely used screening instrument, the Young Internet Addiction Test (IAT), using a sample of US college students. 215 (70% response rate) undergraduate college students were recruited from two US universities to complete an online version of the IAT. Using exploratory factor analysis, two factors were extracted, “dependent use” and “excessive use” which together explained 91% of the total variance. Participants who scored into the problematic user category of the IAT scored items on the dependent use scale an average of 0.8±1.5 points higher and items on the excessive use scale an average of 1.4±1.5 points higher than participants who scored in the average user category. Results suggest that Internet addiction symptoms may cluster into two separate components, dependent and excessive use. Further, the IAT appears to be a valid instrument for assessing Internet addiction in US college students.

BackgroundInternet addiction among US college students remains a concern, but robust estimates of its prevalence are lacking.MethodsWe conducted a pilot survey of 307 college students at two US universities. Participants completed the Internet Addiction Test (IAT) as well as the Patient Health Questionnaire. Both are validated measures of problematic Internet usage and depression, respectively. We assessed the association between problematic Internet usage and moderate to severe depression using a modified Poisson regression approach. In addition, we examined the associations between individual items in the IAT and depression.ResultsA total of 224 eligible respondents completed the survey (73% response rate). Overall, 4% of students scored in the occasionally problematic or addicted range on the IAT, and 12% had moderate to severe depression. Endorsement of individual problematic usage items ranged from 1% to 70%. In the regression analysis, depressive symptoms were significantly associated with several individual items. Relative risk could not be estimated for three of the twenty items because of small cell sizes. Of the remaining 17 items, depressive symptoms were significantly associated with 13 of them, and three others had P values less than 0.10. There was also a significant association between problematic Internet usage overall and moderate to severe depression (relative risk 24.07, 95% confidence interval 3.95 to 146.69; P = 0.001).ConclusionThe prevalence of problematic Internet usage among US college students is a cause for concern, and potentially requires intervention and treatment amongst the most vulnerable groups. The prevalence reported in this study is lower than that which has been reported in other studies, however the at-risk population is very high and preventative measures are also recommended.

The objective of this study was to determine associations between displayed depression symptoms on Facebook and self-reported depression symptoms using a clinical screen. Public Facebook profiles of undergraduates from two universities were examined for displayed depression references. Profiles were categorized as depression symptom displayers or non-displayers. Participants completed an online PHQ-9 depression scale. Analyses examined associations between PHQ-9 score and depression symptom displayers versus non-displayers. The mean PHQ-9 score for non-displayers was 4.7 (SD= 4.0), the mean PHQ-9 score for depression symptom displayers was 6.4 (SD=5.1; p=0.018). A trend approaching significance was noted that participants who scored into a depression category by their PHQ-9 score were more likely to display depression symptom references. Displayed references to depression symptoms were associated with self-reported depression symptoms.

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The PRIUSS demonstrated validity as a PIU screening instrument for adolescents and young adults. Screening for PIU may also help to identify those at high reciprocal risk for other mental health conditions.