Leiden Index of Depression Sensitivity-Revised (LEIDS-R): Spanish validation proposal

The Ending Effect in the Domain of Gambling: The Effect of Gain-Loss Status on Economic Decision-Making

Previous studies have shown that people prefer risk-taking at the end of gambles, a phenomenon called the ending effect. By using the Guess Gambling Game, we investigated the impact of gain-loss status on the ending effect (Experiment 1) and whether and how this effect may be affected by time reference (Experiment 2) and gender (Experiment 1&2). In Experiment 1, we observed the ending effect only in the gain group. Furthermore, gender differences exist in the loss group behavior, females were more risk-averse than males, and males tend to investment more initially and then reduce their investment in a U-shaped pattern (Experiment 1&2). Next, in Experiment 2, the findings indicated that participants in the gain group made riskier decisions and were willing to allocate more money for additional decision opportunities, irrespective of the time conditions. Additionally, under time-limited condition, participants tended to make more decisions in the final round, aiming to maximize their choices times within the limited time. These results contribute to a better understanding of the boundary conditions surrounding the ending effect in risky decision-making and may offer a scientific basis for mitigating and intervening in irrational decision-making.

Supporting routine cognitive reactivity assessment during the perinatal period: psychometric testing of the Chinese version of the Leiden Index of Depression Sensitivity

BACKGROUND

It is critical to find optimal forms to identify perinatal depression (PND) and its vulnerable factors and make them more applicable to depression screening. This study aims to evaluate the reliability and validity of the Chinese version of the Leiden Index of Depression Sensitivity (LEIDS-RR-CV) among perinatal women in China and determine the cut-off values for screening for high-risk depression.

METHODS

Women in their third trimester of pregnancy and six weeks postpartum completed the LEIDS-RR-CV and a diagnostic reference standard online. We assessed the LEIDS-RR-CV using classical test theory (CTT) and item response theory (IRT). We also assessed the test performance for cut-off scores using receiver operator characteristic analysis to further screen for high-risk depression at each time point.

RESULTS

In total, 396 (third trimester) and 321 (six weeks postpartum) women participated. Cronbach's alpha, two-week test-retest reliability, and marginal reliability for the scale were all greater than 0.8. It showed a five-factor model; the cut-off values were 58 (third trimester) and 60 (six weeks postpartum). The areas under the curve were acceptable (≥ 0.7), and the LEIDS-RR-CV was positively correlated with the total Edinburgh Postnatal Depression Scale (EPDS) score (r = 0.52 and 0.56, p = 0.00), indicating its predictive validity. An IRT analysis further confirmed its discriminative validity.

CONCLUSIONS

The LEIDS-RR-CV was found to be reliable, valid, and can be used to quantify cognitive reactivity among perinatal Chinese women and for screening for high-risk depression during this period.

Sex difference in the weighting of expected uncertainty under chronic stress

The neurobiological literature implicates chronic stress induced decision-making deficits as a major contributor to depression and anxiety. Given that females are twice as likely to suffer from these disorders, we hypothesized the existence of sex difference in the effects of chronic stress on decision-making. Here employing a decision-making paradigm that relies on reinforcement learning of probabilistic predictive relationships, we show female volunteers with a high level of perceived stress in the past month are more likely to make suboptimal choices than males. Computational characterizations of this sex difference suggest that while under high stress, females and males differ in their weighting but not learning of the expected uncertainty in the predictive relationships. These findings provide a mechanistic account of the sex difference in decision-making under chronic stress and may have important implications for the epidemiology of sex difference in depression and anxiety.

Psychometric properties of the Chinese version of the End-of-Life Decision-Making and Staff Stress Questionnaire

Background/objective

The goal of this study is to establish a Chinese version of the End-of-Life Decision Making and Associated Staff Stress Questionnaire to assess its reliability and validity.

Method

A sample of 119 Intensive Care Unit physicians and 485 nurses in China completed the questionnaire, along with questionnaires assessing motional exhaustion subscale, Stress Overload Scale, and other variables associated with end-of-life decision.

Results

Seven factors obtained via exploratory factor analysis could explain 70.61% of the total variance. Confirmatory factor analysis demonstrated an acceptable model fit with Root Mean Square Error of Approximation (RMSEA) being .078 and Standardized Root Mean Square Residual (SRMR) being .066. Validity evidence based on relationships with other variables was provided by positive or negative correlations between the questionnaire subscales and emotional exhaustion, stress overload, and other variables associated with end-of-life decision. The average content validity index was .96. The Cronbach’s α and test–retest reliability was outstanding.

Conclusions

The Chinese version of the End-of-Life Decision Making and Associated Staff Stress Questionnaire is a reliable and valid instrument for measuring the facilitators and hinders to facilitate the end-of-life decision-making, communication and the associated pressure perceived by relevant Intensive Care Unit medical staff among the Chinese population.

"Influence of diet on mood and social cognition: a pilot study"

Recently, a relationship has been observed between nutrition and social cognition. In this aspect, several dietary patterns, or even some probiotics, have been reported as social cognition modulators. However, to date, no studies have reported the effects of specific nutrients. Our aim was to evaluate the relationship between dietary macronutrients and the processing of social and affective information. Participants were undergraduates from the University of Extremadura (Badajoz, Spain) aged 21.3 ± 2.9 years., with a BMI of 22.8 ± 3.9 (kg m-2). The students' social cognition and diet were analysed through questionnaires and a dietary record. The diets were analysed with DIAL v.1.18® software (Alce Ingeniería®). The participants filled out the WHO-5 well-being index, Beck's anxiety inventory, Beck's depression inventory, ruminative response scale (RSS), Leiden index of depression sensitivity (LEIDS-r), empathy quotient (EQ), and interpersonal reactivity index (IRI). To analyse the data, nutrients were grouped through principal component analysis (PCA) into lipids, carbohydrates and proteins. Additionally, we assayed if these principal components were associated with psychological questionnaire scores using multiple linear regression analyses. The dietary pattern differed from the traditional Mediterranean diet due to high intake of proteins and saturated fatty acids. Regarding social cognition and macronutrients, we found a positive association between lipids, specifically cholesterol, and the Perspective-Taking Scale (an IRI component). Carbohydrates influenced the RSS, indicating that complex carbohydrates may be a risk factor for depression. Moreover, the brooding factor, a component of the RRS, was negatively affected by dietary carbohydrates and proteins, specifically by fiber and aspartate. Diet may influence several variables related to social cognition and mood. Particularly, a low-cholesterol diet rich in fiber, complex carbohydrates, and aspartate apparently provides benefits, improving the processing of social and affective information and psychic well-being.

Factors influencing cognitive reactivity among young adults at high risk for depression in China: a cross-sectional study

Background

Understanding the factors influencing cognitive reactivity (CR) may help identify individuals at risk for first episode depression and relapse and facilitate routine access to preventative treatments. However, few studies have examined the relationship between CR and depression in Asian countries. This study was performed to assess the current status of CR among Chinese young adults and explore influencing factors.

Methods

A national cross-sectional online study using convenience sampling was conducted among 1597 healthy young adults in China (response rate: 93.94%) with a mean age of 24.34 (SD = 5.76) years.

Results

The mean CR score was 51.36 ± 18.97 (range 0–130). Binary logistic regression showed that a low level of CR was associated with the following factors: high self-compassion, high social support, high resilience, high monthly household income, and living in a rural area, with odds ratios (ORs) ranging from 0.14 to 0.70. Young adults in full-time employment, experiencing poor sleep, with high neuroticism, who reported frequent sad mood, and who had a high intensity of negative life events had increased CR to depression, with ORs ranging from 1.18 to 6.66. The prediction probability of these factors was 75.40%. Causal relationships among the influencing factors and CR could not be explored.

Conclusions

The self-reported CR levels among Chinese young adults were moderate. Enhancing self-compassion, resilience, and social support for young adults and reducing negative life events, neuroticism, and poor sleep may help decrease CR. These findings may help healthcare providers or researchers determine how to cultivate and improve the CR of young adults by establishing documented policies and/or improving intervention efficacies.

Adaptation and validation of the Chinese version of the modified Leiden index of depression sensitivity

BACKGROUND

The revised Leiden index of depression sensitivity (LEIDS-RR) is commonly used worldwide to measure a marker of depression vulnerability termed cognitive reactivity (CR). However, the optimal cut-off scores for this scale and for the Chinese version of LEIDS-RR (LEIDS-RR-CV) are unknown.

OBJECTIVES

The main aims were to examine the psychometric properties of the LEIDS-RR and establish appropriate cut-off scores for the Chinese population.

METHODS

Psychometric evaluation was performed for 330 healthy individuals and 330 depression patients in remission, by incorporating classical test theory and item response theory (IRT) methods. Receiver operating characteristic curve analysis was used to determine the optimal LEIDS-RR-CV cut-off.

RESULTS

Cronbach's α, two-week test-retest reliability, and marginal reliability for the LEIDS-RR-CV were 0.92, 0.40, and 0.96, respectively. Confirmatory factor analysis validated the five-factor model, and the cut-off values to screen a population at risk of depression were 60 and 55 for the healthy individuals and patients, respectively. Patients had higher CR than healthy individuals (t = 6.10, p = 0.00), and this was positively correlated with the total CES-D Scale score (r = 0.52, p = 0.00), also confirmed by IRT analysis, indicating the discriminative and concurrent validity of the scale.

LIMITATIONS

The generalizability of these findings may be limited given the sampling method and the fact that all patients were recruited from a tertiary hospital.

CONCLUSIONS

The 26-item LEIDS-RR-CV is a reliable and valid instrument to assess CR in Chinese populations. It can be used for screening at-risk populations and in epidemiological studies to guide the development of tailored intervention strategies.