# Mapping Stress, Anxiety, Depression, and Repetitive Negative Thinking Among Non‐Western Undergraduate Students: A Network Analysis

**Authors:** Ka Yan, Nessa Ikani, Cleoputri Yusainy, Melissa G. Guineau, Cilia Witteman, Jan Spijker

PMC · DOI: 10.1002/pchj.70043 · PsyCh Journal · 2025-07-29

## TL;DR

This study explores how stress, anxiety, depression, and repetitive negative thinking are connected in Indonesian university students, highlighting general stress as a central factor.

## Contribution

The study provides a network analysis of mental health constructs in a non-Western population, emphasizing unique patterns among Indonesian undergraduates.

## Key findings

- General stress and anxiety showed the strongest partial association in the network analysis.
- General stress, repetitive negative thinking, and depression were identified as the strongest predictors in the network structure.
- General stress was found to be the most central node in terms of expected influence and strength in the gLASSO network.

## Abstract

Most studies on stress have primarily focused on Western, educated, industrialized, rich, and democratic samples, which may differ from populations in non‐Western countries in terms of how they think and respond to stress. This study investigated the interplay of stress‐related variables, including repetitive negative thinking (RNT), neuroticism, mindful awareness, cognitive control, academic or general stress, anxiety, and depression among Indonesian university undergraduates. Network analyses (association, graphical least absolute shrinkage and selection operator (gLASSO), and relative importance network) were conducted to estimate associations between the aforementioned constructs in 474 undergraduate students in Indonesia. Consistent with the association network, the gLASSO network revealed that general stress and anxiety had the strongest partial association. The relative importance network further demonstrated that general stress and anxiety exhibited the most robust bidirectional predictive relationships. Furthermore, general stress, RNT, and depression emerged as the strongest predictors within the network structure. The centrality indices from the gLASSO network (expected influence, strength, and closeness) identified general stress as the most central node in terms of expected influence and strength. Additionally, RNT and depression showed high strength and closeness values. Similarly, in the relative importance network, RNT, depression, and stress showed the highest outstrength and closeness centrality values. These findings suggest that general stress, anxiety, depression, and RNT are interconnected constructs that play crucial roles in the mental health of non‐Western students. Further studies are required to investigate interventions for those constructs tailored to undergraduate students.

## Full-text entities

- **Diseases:** Depression (MESH:D003866), Anxiety (MESH:D001007)

## Full text

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## Figures

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## References

128 references — full list in the complete paper: https://tomesphere.com/paper/PMC12520848/full.md

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Source: https://tomesphere.com/paper/PMC12520848