The ins and outs of posttraumatic growth in children and adolescents: A systematic review of factors that matter

Analysis of risk factors and construction of a prediction model for posttraumatic stress disorder among Chinese college students during the COVID-19 pandemic

BACKGROUND

To explore the risk factors of post-traumatic stress disorder (PTSD) among Chinese college students during the COVID-19 pandemic and the construction and validation of risk prediction models.

METHODS

A total of 10,705 university students were selected for the study. The questionnaire included the Generalized Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire 9 (PHQ-9), PTSD Checklist for DSM-5 (PCL-5), and self-designed questionnaire. These assessments were conducted to facilitate the survey, construct the predictive model and validate the model's validity.

RESULTS

Sex, left-behind experience, poverty status, anxiety score, and depression score were identified as independent risk factors influencing psychological trauma among Chinese college students during the COVID-19 pandemic, while COVID-19 infection emerged as a protective factor against psychological trauma. A column chart was constructed to visualize the six independent risk factors derived from logistic regression analysis. The Hosmer-Lemeshow test results (χ2 = 13.021, P = 0.111) indicated that the risk prediction model fitted well. The receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.864 in the model group and 0.855 in the validation group. The calibration curves of the model closely resembled the ideal curve. Decision curve analysis (DCA) revealed that the model provided net benefit and demonstrated good clinical utility.

LIMITATIONS

The validation of the model is currently restricted to internal assessments. However, further confirmation through larger sample sizes, multicenter investigations, and prospective studies is necessary.

CONCLUSIONS

The model effectively predicted PTSD risk among Chinese college students during the COVID-19 pandemic, indicating strong clinical applicability.

The relationship between fear of cancer recurrence and posttraumatic growth: a meta-analysis

Background

Theoretically, stress is positively correlated with posttraumatic growth (PTG). However, evidence for a correlation between fear of cancer recurrence (FCR), a cancer-specific stressor, and PTG is mixed. The present study aimed to systematically investigate the overall effect size between the two and to explore moderators that may influence this relationship.

Methods

From the earliest available date to October 2023, a comprehensive search was conducted in seven databases. Correlation coefficients (r) were calculated using Stata software. Publication type, continent, trauma role, gender, FCR measurements, PTG measurements, sample size, age, and time since diagnosis were used to examine moderating effects. The National Heart, Lung, and Blood Institute's (NHLBI) assessment tool was used to evaluate study quality.

Results

A total of 14 studies, involving 17 samples and 3,701 participants, were included. The studies found a small association between FCR and PTG (r = 0.161, 95% CI: 0.070-0.249, p < 0.01) and large heterogeneity (I2  = 85.5%). The strength of the association varied according to the publication type and FCR measurement.

Conclusion

The current review suggests a small but significant positive correlation between FCR and PTG. Future studies would benefit from exploring additional moderators and the use of standardized, validated FCR measurement tools.

Systematic review registration

PROSPERO, identifier CRD42023460407.

Latent profile analysis and related factors of post-traumatic growth in young and middle-aged patients with acute myocardial infarction

BACKGROUND

AMI incidence in young and middle-aged patients is increasing year by year, and such patients are prone to negative emotions after illness, which affects health outcomes. However, post-traumatic growth can bring about positive changes in the patient, which is beneficial to their recovery.

OBJECTIVES

This study aimed to understand the different types of post-traumatic growth characteristics and their related factors in young and middle-aged patients with acute myocardial infarction to help find precise intervention measures.

METHODS

This was a cross-sectional study. Self-reported questionnaires were used to assess general demographic characteristics, post-traumatic growth, and rumination. The mean of the five dimensions of the Post-traumatic Growth Scale was used to perform a Latent profile analysis.

RESULTS

A total of 312 participants, including 285 male and 27 female patients, with the mean age was 51.95±5.75. Latent profile analysis results showed that three-profile model was the most suitable. Three different profiles were named: the "Malgrowth group" (45.51%), the "Good growth group" (18.91%), and the "Excellent growth group" (35.58%). The related factors included rumination, age, monthly income, whether to return to work, marital status, residential address, classification of disease, and whether to perform PCI treatment (P<0.05).

CONCLUSION

According to our results, the post-traumatic growth of young and middle-aged AMI patients can be divided into three profiles, and targeted intervention can be carried out for patients according to the determined patient profiles.

Validation of the Post-Traumatic Growth Inventory in Adolescents Who Lost a Family Member in the Past 4 years: Effects of Time After the Death Event and Gender

Post-traumatic growth is the psychological capacity to perceive positive changes facing high-stress or potentially traumatic events and may be especially useful in lessening their effects in adolescents' lives. Present study aimed to evaluate the psychometric properties of the Post-Traumatic Growth Inventory (PTGI) in 662 Peruvian adolescents who suffered the death of an immediate family member over the last 4 years. Firstly, an exploratory graphical analysis (EGA) was conducted to determine the best parsimonious structure of the instrument and confirmed with its respective factor models. The results report adequate fit indices in the EGA Bifactor model. Furthermore, another structural model is included, which reports significant latent effects of the time elapsed since the relative's death and gender (male) on PTGI general factor. Likewise, gender measure was significantly related to items 3, 7, and 11, which is linked to personal growth.

Psychological resilience and posttraumatic growth in adolescent survivors of earthquake: A 10-year cohort study

This 10-year cohort study explored whether individual differences in resilience during early stages post-earthquake could have diverse impacts on future PTG and whether the impacts varied by sex. 1357 Chinese adolescent survivors of the Wenchuan earthquake were assessed on their resilience at 6-, 12-, 18-, and 24-months post-earthquake. 799 participants responded to an online survey 10 years later, and 744 of which provided useable data for subsequent analysis. Resilience trajectories were modeled using the latent class growth analysis. Linear regressions were used to test the predictive effects of different resilience trajectories on subsequent PTG. Of 744 samples (M_age=15.44, SD = 0.66 at baseline), 59.1% were females. Three trajectories of resilience were identified, including low resilience (19.8%), moderate resilience (58.7%), and high resilience (21.5%). Highly resilient participants reported greater PTG 10 years later (β = 0.12, 95%CI 0.60-6.08) after adjusting for demographic variables, earthquake exposure, negative life events, and mental health problems. Moreover, the same findings only existed in males (β = 0.22, 95%CI 1.26-11.01). Our findings highlight the importance of classifying survivors by resilience trajectories in order to better account for different implications on future PTG. Moreover, sex-specific programs are needed to provide tailored intervention.