Construction of a risk prediction model for non-suicidal self-injury behaviors in female patients of childbearing age with depression
10.3760/cma.j.cn211501-20241111-03097
- VernacularTitle:育龄期女性抑郁症患者非自杀性自伤行为发生风险预测模型的构建
- Author:
Yuting SONG
1
;
Chao QIAN
1
;
Ouying SHEN
1
Author Information
1. 绍兴市第七人民医院重症精神科，绍兴 312300
- Publication Type:Journal Article
- Keywords:
Depressive disorder;
Childbearing age;
Women;
Non-suicidal self-injury behavior;
Nomogram
- From:
Chinese Journal of Practical Nursing
2025;41(19):1479-1486
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the risk factors of non-suicidal self-injury behavior (NSSI) in women of childbearing age with depression, and construct a nomogram prediction model.Methods:Adopting cross-sectional research method and retrospective cohort study design, a total of 278 female patients of childbearing age with depression admitted to Shaoxing Seventh People′s Hospital from January 2022 to July 2024 were selected as the modeling group by convenience sampling method, and were divided into the NSSI group and the non-NSSI group according to whether the patients had NSSI. Another 104 cases of female depression patients of childbearing age admitted to hospital during the same period were selected as the verification group. The influencing factors were screened by multi-factor Logistic regression analysis, and the nomogram prediction model was constructed by R software "rms" package.Results:In the modeling group, there were 98 cases in the NSSI group with an age of (32.58 ± 6.96) years, and 180 cases in the non-NSSI group with an age of (32.73 ± 7.08) years. In the verification group, there were 36 cases in the NSSI group with an age of (32.92 ± 7.76) years, and 68 cases in the non-NSSI group with an age of (33.18 ± 7.59) years. Multi-factor Logistic regression analysis showed that depression degree ( OR=4.834, 95% CI 2.089-11.185), family relationships ( OR=5.121, 95% CI 1.987-13.197), sleep disorders ( OR=2.302, 95% CI 1.203-4.408), childhood trauma ( OR=2.332, 95% CI 1.235-4.402), impulsivity ( OR=2.227, 95% CI 1.168-4.248), and Defeat Scale score ( OR=1.144, 95% CI 1.085-1.206) were influence factors for NSSI in female depression patients of childbearing age (all P<0.05). The C-index of the prediction model constructed based on this was 0.847 (0.800-0.895), and the calibration curve was close to the ideal curve. The results of the decision curve showed that the predictive model provided a higher clinical net benefit. Conclusions:The nomogram prediction model based on depression degree, family relationship, sleep disorder, childhood trauma, impulsivity and Defeat Scale score provides important strategic guidance for predicting and evaluating the occurrence of NSSI in women of childbearing age with depression and clinical nursing intervention.
