Attentional bias toward emotional stimuli in type 2 diabetic Chinese patients with different self-management levels.

Extensive evidence has been obtained that supports an association between an attentional bias (AB) toward negative stimuli and vulnerability to mental and behavioral problems; however, diabetes self-management (DSM) behavior in type 2 diabetic patients has not specifically been assessed. The current study investigated whether type 2 diabetic Chinese patients who had different levels of self-management behaviors showed different patterns of AB toward either positive or negative stimuli. A sample of 195 patients completed questionnaires measuring DSM and a modified dot-probe task measuring AB. Patients with low levels of DSM had an avoidance bias for positive stimuli, the regression showed that negative orienting index significantly predicted lower DSM; patients with medium levels of DSM had difficulty in disengaging attention from negative stimuli, the regression showed that negative disengaging index significantly predicted lower DSM; while patients with high levels of DSM had an avoidance bias for negative stimuli and difficulty in disengaging from positive stimuli. An implication of this finding is that the understanding of information processing bias affects DSM and therefore suggests a novel target for prevention and treatment interventions.

Attentional bias toward emotional stimuli in accidentally injured Chinese patients with different posttraumatic growth levels.

Extensive evidence has been obtained that supports an association between an attentional bias (AB) toward negative stimuli and vulnerability to stress-related psychopathology, little is known regarding the characteristics of individual AB in different posttraumatic growth (PTG) levels. The current study used a modified dot-probe task to investigate if individual differences in AB towards either positive or negative emotional stimuli, are related to self-reported PTG. A sample of 202 patients completed the experiment. Patients with low levels of PTG did not exhibit AB toward negative or positive stimuli, patients with medium levels of PTG had difficulty disengaging attention from negative stimuli, patients with high levels of PTG had difficulty disengaging attention from positive stimuli. And the AB towards positive stimuli was only predictive for PTG. An implication of this finding is that there are different characteristics of implicit cognitive processing in patients with different levels of PTG, suggesting the necessity of psychological intervention on the accidentally injured patients.

Correlation Between Posttraumatic Growth and Posttraumatic Stress Disorder Symptoms Based on Pearson Correlation Coefficient: A Meta-Analysis.

The literature on posttraumatic growth (PTG) is burgeoning, with the inconsistencies in the literature of the relationship between PTG and posttraumatic stress disorder (PTSD) symptoms becoming a focal point of attention. Thus, this meta-analysis aims to explore the relationship between PTG and PTSD symptoms through the Pearson correlation coefficient. A systematic search of the literature from January 1996 to November 2015 was completed. We retrieved reports on 63 studies that involved 26,951 patients. The weighted correlation coefficient revealed an effect size of 0.22 with a 95% confidence interval of 0.18 to 0.25. Meta-analysis provides evidence that PTG may be positively correlated with PTSD symptoms and that this correlation may be modified by age, trauma type, and time since trauma. Accordingly, people with high levels of PTG should not be ignored, but rather, they should continue to receive help to alleviate their PTSD symptoms.

A Scoring System to Predict Arm Lymphedema Risk for Individual Chinese Breast Cancer Patients.

BACKGROUND: Lymphedema (LE) is recognized as a common complication after axillary lymph node dissection (ALND). Numerous studies have attempted to identify risk factors for LE. However, it is difficult to predict the probability of LE for an individual patient. The purpose of this study was to construct a scoring system for predicting the probability of LE after ALND for Chinese breast cancer patients. PATIENTS AND METHODS: 358 breast cancer patients were surveyed and followed for 12 months. LE was defined by circumferential measurement. Univariate and multivariate logistic regression analyses were used to screen risk factors of LE. Based on this, ß-coefficient of each risk factor was translated into a prognostic score and the scoring system was constructed. The area under the receiver operating characteristic curve (AUC) and calibration were calculated as an index for the predictive value of the scoring system. The model was internally validated using bootstrapping techniques. RESULTS: The incidence rate of LE was 31.84%. Variables associated with LE and their corresponding score in the scoring system were: the level of ALND (level I = 0, level II = 1, level III = 2), history of hypertension (yes = 1, no = 0), surgery on dominant arm (yes = 1, no = 0), radiotherapy (yes = 2, no = 0), and surgical infection/seroma/early edema (yes = 2, no = 0). The probability of LE was predicted according to the total risk scores. The system had good discrimination, with an AUC at 0.877. If a cut-off value of 3 was used, the sensitivity was 81.20% and the specificity was 80.90%. An individual whose total risk score was higher than 3 was recognized as being at risk for LE. On internal validation, the bootstrap-corrected predictive accuracy was 0.798. The model demonstrated excellent calibration in the development set and internal validation. CONCLUSIONS: Our scoring system could be a simple and easy tool for physicians to estimate the risk of LE.