Exploring the relationship between depressive symptoms, problematic smartphone use, and cumulative risk factors in nursing students: A cross sectional study.

Background: No single risk factor is decisive in shaping an individual's healthy development. This study aimed to analyze the relationship between depressive symptoms and a cumulative risk index comprising individual, family, and social variables among nursing students.
Methods: We enrolled 1716 Chinese nursing students from three universities in a paperless survey that assessed a range of individual, family, and social risk factors associated with depressive symptoms. Multiple risk analysis was conducted to create a composite risk score for each individual. A test for trend was employed to assess the relationship between the multiple risk classification and depressive symptoms individually. Additionally, a 2-step cluster analysis and χ ² tests were used to examine the relationship between the different clusters and the level of depressive symptoms.
Results: The mean scores of depressive symptoms increased significantly as the number of risk factors increased, regardless of their combination. As the number of risk factors increased, the proportion of nursing students in the normal group decreased, while the proportion in the group with depressive symptoms of varying severity tended to increase (P < 0.001). A high-risk cluster characterized by poor sleep quality combined with problematic smartphone use was associated with higher levels of depressive symptoms (P < 0.001).
Conclusion: Based on these findings that cumulative exposure to multiple risk factors is more harmful than cumulative exposure to fewer risk factors, then interventions that isolate only one risk factor are less likely to be effective than those that are multifaceted.
Competing Interests: Declaration of competing interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2024. Published by Elsevier B.V.)