Reliability and validity of measuring scale for postoperative complications in third molar surgery

Path analysis of influencing factors for maternal antenatal depression in the third trimester

Maternal antenatal depression (AD) is a nonpsychotic depressive episode during pregnancy that can harm both the pregnant woman and the fetus. This study aimed to investigate the intrinsic interrelationships between AD and its influencing factors by constructing a path model. This survey-based cross-sectional study included 1071 pregnant women who underwent pregnancy examinations in three hospitals in Nantong City, China, between February and June 2023. General information and information regarding maternal AD, pregnancy stress, prenatal anxiety, social support, marital satisfaction, sleep quality, and resilience were collected. Multiple linear regression analysis using SPSS 25.0 was employed to determine the factors influencing pregnancy depression, and Amos25.0 was used to construct a structural equation model. AD incidence was 19.4% (208/1071). The independent risk factors affecting AD in pregnant women have been integrated into the established path analysis model. The model demonstrated a good fit (χ2/DF = 1.238, comparative fit index = 0.999, goodness-of-fit index = 0.998, normed fit index = 0.996, adjusted goodness-of-fit index = 0.990, incremental fit index = 0.999, and root mean square error of approximation = 0.015). While prenatal anxiety (0.230) and hyperthyroidism (0.048) only had direct effects on AD, mental resilience was the biggest factor affecting AD, followed by pregnancy stress, marital satisfaction, prenatal anxiety, sleep quality, social support, and hyperthyroidism. Improved mental resilience, social support, sleep quality, and marital satisfaction; reduced pregnancy stress and prenatal anxiety; and effective hyperthyroidism treatment might reduce AD. This study underscored the significance of delivering actionable strategies and tangible assistance to pregnant women to reduce AD.

Postpartum stress in the first 6 months after delivery: a longitudinal study in Nantong, China

OBJECTIVES

The objective is to to explore the longitudinal change trajectories of postpartum stress and its related factors.

DESIGN

A longitudinal study with follow-ups from 42 days to 6 months after delivery.

SETTINGS AND PARTICIPANTS

A total of 406 postpartum women were recruited at baseline (42 days after delivery) from 6 hospitals in Nantong, Jiangsu Province, China, and followed up at 3 and 6 months. After the follow-ups, 358 postpartum women were retained for further analysis.

METHODS

Postpartum stress was evaluated using the Maternal Postpartum Stress Scale (MPSS) at baseline (42 days) and 3 and 6 months after delivery. MPSS has three dimensions, such as: personal needs and fatigue, infant nurturing and body changes and sexuality. Postpartum depression and anxiety were measured using the Edinburgh Postnatal Depression Scale and the short-form Depression, Anxiety and Stress Scale, respectively. The MPSS scores were normalised using a rank-based inverse normal transformation.

RESULTS

Postpartum stress decreased significantly after 3 months, and postpartum stress reduced further after 6 months. Additionally, the scores for all three dimensions reduced after 6 months, while infant nurturing reduced after both 3 and 6 months. Older age (β=0.028, p=0.049), higher education level (β=0.153, p=0.005) and higher body mass index (BMI) (β=0.027, p=0.008) of the postpartum women were significantly associated with higher postpartum stress levels in corresponding dimensions at 42 days. Older age was also associated with higher postpartum stress at 3 (β=0.030, p=0.033) and 6 months (β=0.050, p<0.001) in the dimension of personal needs and fatigue. Postpartum stress levels were significantly higher in women with depression or anxiety symptoms.

CONCLUSIONS

Postpartum stress continuously declined from 42 days to 6 months after delivery. Postpartum women with older age, higher education levels, higher BMI and anxiety or depression symptoms should be the target population for early intervention.

Association between social supports and negative emotions among pediatric residents in China: The chain-mediating role of psychological resilience and burnout

Background

Chinese pediatricians are facing challenges, and there is a need to examine the issue of negative emotions, namely, stress, anxiety and depression, among front-line pediatric residents in clinical settings. Understanding the current situation and influencing factors of negative emotions among pediatric residents in China and exploring the formation mechanism can lay a foundation for psychological interventions.

Methods

A total of 138 pediatric residents in the Children's Hospital, Zhejiang University School of Medicine, China, were surveyed using the Depression Anxiety Stress Scale-21 (DASS-21), Social Support Rating Scale (SSRS), Connor-Davidson Resilience Scale (CD-RISC), and Maslach Burnout Inventory-General Survey (MBI-GS).

Results

(1) The incidence of abnormal stress, anxiety, and depression among pediatric residents was 18.8%, 47.8%, and 47.8% respectively. (2) Negative emotions were significantly negatively correlated with social supports and psychological resilience, and positively correlated with burnout. (3) The chain-mediating effect of resilience and burnout between social supports and negative emotions was significant.

Conclusion

Psychological resilience and burnout played a chain-mediating role between social supports and negative emotions. Measures should be taken to improve the mental health of Chinese pediatric residents.

A Validated Model to Predict Postoperative Symptom Severity After Mandibular Third Molar Removal

PURPOSE

The individualized prediction of postoperative symptom severity is essential for selecting interventions after mandibular third molar (M3M) removal. The purpose of the present study was to develop and validate a nomogram for personal prediction of postoperative symptom severity.

MATERIALS AND METHODS

A prospective cohort study was performed in the Stomatology Hospital of Tianjin Medical University. The sample was divided into training and testing data sets by time. The demographic, anatomic, radiographic, and operative variables were recorded. The self-reported postoperative symptom severity was recorded and defined as the primary outcome variable. Stepwise forward algorithms were applied to informative predictors based on Akaike's information criterion. Multivariable logistic regression analysis was used to develop the nomogram. An independent testing data set was used to validate the nomogram. Receiver operating characteristic curves and the Hosmer-Lemeshow test were used to assess model performance. P < .05 was considered to indicate statistical significance.

RESULTS

The sample included 321 subjects who had undergone M3M removal. An independent validation data set included 103 consecutive patients. The median operation time was 15.0 minutes (interquartile range, 8.3 to 21.6 minutes) in the training data set (n = 218). Patients with serious postoperative symptoms accounted for 48.6 and 47.6% of the training and testing data sets, respectively. Gender, age, smoking status, operation time, Pell-Gregory ramus classification, and preoperative symptoms were identified as predictors and assembled into the nomogram. The area under curve demonstrated adequate discrimination in the validation data set (0.69; 95% confidence interval, 0.59 to 0.80). The nomogram was well calibrated, with a Hosmer-Lemeshow χ² statistic of 6.33 (P = .78) in the testing data set. The confusion matrix was also summarized, and the accuracy was 63.3 and 65.1% in the training and testing data set, respectively.

CONCLUSIONS

The present study has proposed an effective nomogram with potential application in facilitating the individualized prediction of postoperative symptom severity after M3M removal.