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Journal Article

Citation

Li L, Yang H. Psychol. Res. Behav. Manag. 2023; 16: 3359-3371.

Copyright

(Copyright © 2023, Dove Press)

DOI

10.2147/PRBM.S427090

PMID

37654969

PMCID

PMC10465360

Abstract

BACKGROUND: Non-suicidal self-injury (NSSI) is a global public health problem. While some studies have noted the importance of behavioural development patterns in NSSI, most NSSI research is based on cross-sectional survey data. Few studies explore the time-series heterogeneity of trajectories of NSSI symptoms and family-related influencing factors of NSSI.

AIM: The purpose of the study was to identify the heterogeneity in trajectories of adolescents' NSSI behaviour and their family-related influencing factors.

METHODS: The group-based trajectory model (GBTM) was used to identify the heterogeneity in the NSSI behaviour trajectories of 208 adolescents in China. Next, the decision tree model (DTM) was used to analyse which family related factors influence the trajectory type.

RESULTS: The GBTM revealed two heterogeneous trajectories of NSSI behaviour: the high-risk and low-risk NSSI behaviour groups. Next, DTM's average accuracy was 83.2%. A total of seven independent variables were used for the DTM: gender, number of NSSIs in the past month, and family economic, family structure, family conflict, parental psychological control, parental behavior control and family intimacy risks. Family conflict risk was located at the root node and was the most important factor.

CONCLUSION: Heterogeneity within the population should be considered in the management of adolescents' NSSI behaviours. Further, from the perspective of family system theory and cumulative risk, focusing on the adverse effect of multiple risk factors on adolescents' NSSI addiction is more meaningful rather than the impact of single risk factors. Studies that use time series data should focus on the trend of dynamic changes in NSSI addiction characteristics over time.


Language: en

Keywords

trajectory; heterogeneity; non-suicidal self-injury; decision tree; group-based; influencing factor

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