The association of ‘self-monitoring’ with depression in help-seeking Facebook users
Bibliographic Data
| ID | 19274166 |
|---|---|
| Authors | Conal Twomey (0000-0002-3229-5240, University College Dublin, corresponding author), Gary O’Reilly (0000-0003-4307-3755, University College Dublin) |
| Year | 2018 |
| Volume | 64 |
| Issue | 5 |
| Pages | 482-487 |
| Publication date | 2018-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Social Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 0020-7640 • E-ISSN: 1741-2854 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0020764018778700 |
| PMID | 29852812 |
| OpenAlex | W2806614842 |
| Language | EN |
| References cited | 30 |
BACKGROUND: 'Self-monitoring' refers to the extent to which people control how they act in social situations. Some evidence suggests that those with various mental health issues engage in less self-monitoring than those without such issues. In the current study, we investigated the association of (offline and online) self-monitoring with depression in help-seeking Facebook users. METHODS: We conducted a cross-sectional analysis of an anonymised dataset generated using the myPersonality Facebook application ( N = 1,857). Participants were those who accessed an application for depressive symptom-reporting that was linked to the myPersonality application. RESULTS: The odds of depression were 1.85 times greater in low self-monitors than high self-monitors (odds ratio = 1.85; 95% confidence interval (CI) = [1.50, 2.27]). The association remained significant after adjusting for 'big five' personality traits (odds ratio = 1.48; 95% CI = [1.18, 1.86]). In fully adjusted analyses involving different operationalisations of self-monitoring, (1) the odds of depression were 1.38 times greater in low acquisitive self-monitors than high acquisitive self-monitors (odds ratio = 1.38; 95% CI = [1.10, 1.74]) and (2) the odds of depression were 1.48 times greater in low protective self-monitors than high protective self-monitors (odds ratio = 1.48; 95% CI = [1.18, 1.85]). CONCLUSION: The utility of self-monitoring in interventions for depression is worthy of investigation. Moreover, the assessment of self-monitoring may offer insights into clients' social skills, motivation and self-awareness
Association (psychology) · Confidence interval · Depression (economics) · Logistic regression · Mental health · Odds · Odds ratio · Psychiatry · Psychological intervention · Self-monitoring · Clinical Psychology · Digital Mental Health Interventions · Impact of Technology on Adolescents · Internal Medicine · Medicine · Mental Health via Writing · Psychology · Social Psychology
Computer-based personality judgments are more accurate than those made by humans
Social skills deficits associated with depression
Screening for Depression in the General Population with the Center for Epidemiologic Studies Depression (CES-D)
Judgment of contingency in depressed and nondepressed students
Using Effect Size—or Why the P Value Is Not Enough
Four ways five factors are basic
Self-discrepancy
The CES-D Scale
Self‐Monitoring and the Metatraits
Self-Monitoring in Anorexia Nervosa
Self-Monitoring, Depression and Suicidal Ideation
Differences in Self-Monitoring of Expressive Behavior in Depressed and Nondepressed Individuals
Facebook as a research tool for the social sciences
The international personality item pool and the future of public-domain personality measures
On the nature of self-monitoring
Self-monitoring of expressive behavior
Self-monitoring
Linking "big" personality traits to anxiety, depressive, and substance use disorders
| Citation velocity | historical |
|---|---|
| Highly cited | No |