ArticleJournal of education and health promotion2026
Interpersonal cognitive distortions and automatic negative thoughts as predictors of depression among college students: Insights from the structural equation model.
Article in Journal of education and health promotion, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundDepression is a highly pervasive mental health condition characterized by behavioural, affective, cognitive and somatic symptoms leading to impairments in social, interpersonal and occupational functioning. It is one of the most commonly occurring mental health disorders, affecting approximately 300 million people worldwide. The aim of the present study was to examine the impact of interpersonal cognitive distortions and automatic negative thoughts on depression. MATERIALS AND
methodsThe study employed non-probability sampling and included 200 college students. A quantitative approach with an ex-post facto research design was utilized. Statistical analysis: SPSS version 25 was used to conduct descriptive and inferential statistics to comprehend the participants and the variables. Smart PLS was used for Structural Equation Modelling (SEM).
resultsThe results indicated that there were significant differences in the levels of depression based on low self-esteem (f = 45.661,
conclusionsThe present study contributes to the understanding of the critical role that negative thoughts play in the development of depression. It highlights the importance of designing interventions that specifically target automatic negative thoughts.
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