ArticleBMC psychiatry2024
Relationship between personality and adolescent depression: the mediating role of loneliness and problematic internet use.
Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Analysis of the current state and influencing factors of loneliness among Chinese children aged 8-18 years.Frontiers in public health · 2026Trial
- Mindfulness as a mediator and moderator between interpersonal alienation and smartphone addiction among Taiwanese university students.BMC psychology · 2026Article
- Effects of impulsive personality on suicide in adolescent depression: The chain mediating of perceived social adversity and security.World journal of psychiatry · 2025Article
- Could social support mediate the relationship between personality trait patterns and mental health in Chinese older adults: a nationwide cross-sectional study conducted in 2022.BMC public health · 2025Article
- Child psychological maltreatment, depression, psychological inflexibility and difficulty in identifying feelings, a moderated mediation model.Scientific reports · 2025Article
- Association between screen time and depressive and anxiety symptoms among Chinese adolescents.Frontiers in psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundPrevious research has indicated that personality traits, loneliness, and problematic internet use (PIU) significantly contribute to the prevalence of adolescent depression. However, the specific interrelationships among these variables in explaining the occurrence of depression remain unclear. Drawing upon susceptibility theory and cognitive-behavioral theory, this study explored whether personality traits influences adolescent depression through loneliness and PIU.
methodsA total of 2476 adolescents (aged 12-18) from all over the country completed a psycho-social test, including the 10-Item Big Five Personality Inventory (BFI-10), three-Item Loneliness Scale (T-ILS), Problematic Internet Use Questionnaire-Short Form (PIUQ-SF-6) and the Patient Health Questionnaire-9 (PHQ-9). The mediation model was built and bootstrap method was used to test the mediating effect.
resultsResults showed that neuroticism, conscientiousness, openness, and agreeableness have a direct role on depression. Loneliness and PIU partially mediated the relationship between neuroticism, conscientiousness, agreeableness and depression, and completely mediated the relationship between extroversion and depression.
conclusionsThe results suggest that loneliness and PIU play important mediating roles in the relationship between personality traits and depression. This remind us that alleviating sense of loneliness and reducing overuse of the internet are a strategy for improve depression among adolescents.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.