The relationship between neuroticism and night eating: exploring the mediating roles of psychological distress and maladaptive coping

Are you how you eat? Aspects of self-awareness in eating disorders

Eating disorders (ED) are severe psychiatric disorders characterized by dysfunctional behaviors related to eating or weight control, with profound impacts on health, quality of life, and the financial burden of affected individuals and society at large. Given that these disorders involve disturbances in self-perception, it is crucial to comprehend the role of self-awareness in their prevalence and maintenance. This literature review presents different self-awareness processes, discussing their functioning across different levels of complexity. By deconstructing this concept, we can gain a better understanding of how each facet of self and personality relates to the symptoms of these disorders. Understanding the absence or impairment of self-awareness in ED holds significant implications for diagnosis, treatment, and overall management. By recognizing and comprehending the characteristics of self-awareness, clinicians can develop tailored interventions and evidence-based treatments for individuals with ED. Furthermore, this narrative review underscores the importance of considering temperament and personality factors in the context of ED, as temperament traits and personality characteristics may interact with self-awareness processes, influencing the development and maintenance of ED. Ultimately, the results highlight the pressing need for further research on the development of effective interventions and support strategies grounded in the aspects of self-awareness mechanisms for individuals affected by these disorders.

A network analysis of disordered eating symptoms, big-five personality traits, and psychological distress in Chinese adults

OBJECTIVE

Previous studies have revealed associations between disordered eating symptoms, big-five personality traits, and psychological distress. However, limited research has explored these relationships as a network, including their interconnections, and even less has done so in non-Western populations. We employed network analysis to investigate the co-occurrence of disordered eating symptoms, big-five personality traits, and psychological distress in Chinese adults.

METHOD

A sample of 500 Chinese adults (256 men) completed measures assessing big-five personality traits, psychological distress, and disordered eating symptoms. The network of personality traits, psychological distress, and disordered eating symptoms was estimated, including its central and bridge nodes.

RESULTS

The central nodes in the network were the facets of openness (like adventure), extraversion (like going to social and recreational parties), and disordered eating symptoms (dissatisfaction with body weight or shape). Moreover, certain facets of neuroticism (always worrying something bad will happen), psychological distress (feeling worthless), and an inverse facet of extraversion (bored by parties with lots of people) were identified as essential bridge nodes in maintaining the structure of the network.

CONCLUSION

Our findings suggest that personality traits (e.g., openness and extraversion) and body dissatisfaction are important in maintaining the network in a community sample of Chinese adults. While future replication is needed, findings from this study suggest that individuals with negative self-thinking, predisposed neuroticism, and extraversion may be at risk of developing disordered eating symptoms.

PUBLIC SIGNIFICANCE

The present study contributes to existing knowledge by employing a network perspective to examine the associations between disordered eating symptoms, big-five personality traits, and psychological distress in a Chinese adult community sample. The identified facets of neuroticism and extraversion and symptoms of psychological distress may be worthy of targeting in the prevention and treatment of disordered eating in the Chinese context.

Neural correlates of neuroticism: A coordinate-based meta-analysis of resting-state functional brain imaging studies

Neuroticism is one of the most robust higher-order personality traits associated with negative emotionality and risk of mental disorders. Many studies have investigated relationships between neuroticism and the brain, but the results have been inconsistent. We conducted a meta-analysis of whole-brain resting-state functional neuroimaging studies to identify the most stable neurofunctional substrates of neuroticism. We found stable significant positive correlations between neuroticism and resting-state brain activity in the left middle temporal gyrus (MTG), left striatum, and right hippocampus. In contrast, resting-state brain activity in the left superior temporal gyrus (STG) and right supramarginal gyrus (SMG) was negatively associated with neuroticism. Additionally, meta-regression analysis revealed brain regions in which sex and age moderated the link of spontaneous activity with neuroticism. This is the first study to provide a comprehensive understanding of resting-state brain activity correlates of neuroticism, and the findings may be useful for the targeting of specific brain regions for interventions to decrease the risks of mental health problems.

Machine-learning prediction of BMI change among doctors and nurses in North China during the COVID-19 pandemic

Objective

The COVID-19 pandemic has become a major public health concern over the past 3 years, leading to adverse effects on front-line healthcare workers. This study aimed to develop a Body Mass Index (BMI) change prediction model among doctors and nurses in North China during the COVID-19 pandemic, and further identified the predicting effects of lifestyles, sleep quality, work-related conditions, and personality traits on BMI change.

Methods

The present study was a cross-sectional study conducted in North China, during May-August 2022. A total of 5,400 doctors and nurses were randomly recruited from 39 COVID-19 designated hospitals and 5,271 participants provided valid responses. Participants' data related to social-demographics, dietary behavior, lifestyle, sleep, personality, and work-related conflicts were collected with questionnaires. Deep Neural Network (DNN) was applied to develop a BMI change prediction model among doctors and nurses during the COVID-19 pandemic.

Results

Of participants, only 2,216 (42.0%) individuals kept a stable BMI. Results showed that personality traits, dietary behaviors, lifestyles, sleep quality, burnout, and work-related conditions had effects on the BMI change among doctors and nurses. The prediction model for BMI change was developed with a 33-26-20-1 network framework. The DNN model achieved high prediction efficacy, and values of R ², MAE, MSE, and RMSE for the model were 0.940, 0.027, 0.002, and 0.038, respectively. Among doctors and nurses, the top five predictors in the BMI change prediction model were unbalanced nutritional diet, poor sleep quality, work-family conflict, lack of exercise, and soft drinks consumption.

Conclusion

During the COVID-19 pandemic, BMI change was highly prevalent among doctors and nurses in North China. Machine learning models can provide an automated identification mechanism for the prediction of BMI change. Personality traits, dietary behaviors, lifestyles, sleep quality, burnout, and work-related conditions have contributed to the BMI change prediction. Integrated treatment measures should be taken in the management of weight and BMI by policymakers, hospital administrators, and healthcare workers.

Prediction model and case analysis of college students' psychological depression based on multi-source online comment mining

Psychological depression is a normal emotional experience of human beings. Everyone will experience different levels of depression in life. Under the dual influence of the current socio-economic environment and the small environment of students' quality, the depressive tendency of college students cannot be ignored. In order to mine and improve the level of College Students' psychological depression, this paper proposes a prediction model of College Students' PD based on multi-source online comment mining. The data mining method is used to analyze the content and emotion of microblog comments of users with depressive tendencies. Then, pattern extraction and matching are used to find low-frequency feature words. The example analysis shows that when the comment length is set to 10 and the news length is set to 47, the classification accuracy of the test set is the highest, reaching 96.454%, higher than the original 94.898%. Learning pressure, economic pressure, employment pressure, coping style and social support are closely related to depression and anxiety. Therefore, when modeling depression and anxiety, they were selected as predictive properties. The PD prediction model of college students based on multi-source online comment mining has achieved good results in the polarity classification of online comments.

Association between Stress and Metabolic Syndrome and its Mediating Factors in University Students

OBJECTIVES

In this study, we evaluated the association between perceived stress and indicators of metabolic syndrome and how this association is mediated by sleep problems, unhealthy eating habits, and night eating syndrome, in addition to serum levels of ghrelin and cortisol in university students.

METHODS

We recruited 192 students from a public university in Mexico. Weight, height, waist circumference and blood pressure were taken in accordance with standard protocols. Validated questionnaires were used to assess perceived stress, sleep quality and eating habits. Fasting blood samples were taken to measure ghrelin, cortisol, triglycerides, glucose and HDL-C.

RESULTS

Path Analysis indicated direct positive effects of stress over PSQI (β = 0.341) and NES (β = 0.443); PSQI over NES (β = 0.233) and NES over glucose (β = 0.170), triglycerides over LDL-C (β = 0.215), waist circumference over SBP (β = 0.259). Likewise, standardized negative regression weights of PSQI over Diet Quality Index (β = -0.239) and ghrelin concentrations (β = -0.132), ghrelin over Diet Quality Index (β = -0.188) and waist circumference (β = -0.147). Diet Quality Index over triglycerides (β = -0.184); sleep duration over systolic blood pressure (β = -0.242); waist circumference over HDL-C (β = -0.256).

CONCLUSION

Psychological stress leads to increased indicators of MetS via decreased sleep quality, inadequate eating habits and eating behavior in university students.

The structural characteristics and influential factors of psychological stress of urban residents in Jiangxi province during the COVID-19 pandemic: cross sectional study

AIMS

To explore the structural characteristics and influential factors of psychological stress of urban residents in Jiangxi province during the COVID-19 pandemic through a survey of psychological stress, personality traits, family function and life satisfaction.

METHODS

By the convenient sampling, 1422 urban residents from Jiangxi province were assessed with Eysenck Personality Questionnaire Short Scale (EPQ-RSC), Psychological Questionnaires for Emergent Events of Public Health (PQEEPH), Family APGAR Scale (APGAR) and Satisfaction With Life Scale (SWLS). The relation among personality traits, psychological stress, family function and life satisfaction during the COVID-19 pandemic was analyzed by using the canonical correlation analysis and the serial mediation model.

RESULTS

(1) Among the estimated correlation coefficients, the first two pairs were significant (P < 0.001 in each). (2) In the first pair of canonical variables, the loadings of neuroticism and neurasthenia were the higher (0.94, 0.70). (3) Neuroticism and life satisfaction mediated the relationship between family function and neurasthenia (β neuroticism = -0.174; 95%CI:-0.224, -0.134; β life satisfaction = -0.034, 95%CI:-0.012, -0.062), respectively. In addition, serial mediation analyses indicated that the association of family function and neurasthenia is mediated by neuroticism and life satisfaction in a sequential manner (β = -0.010; 95%CI:-0.020, -0.004).

CONCLUSIONS

During the COVID-19 pandemic, neuroticism was closely related to psychological stress of urban residents, especially neurasthenia. In addition, the serial mediating effect of neuroticism and life satisfaction played an important role in the process of family function influencing neurasthenia. These findings contributed to a more comprehensive understanding of the influential factors for psychological stress of urban residents during the COVID-19 pandemic.

Chinese media coverage of eating disorders: Disorder representations and patient profiles

OBJECTIVE

Eating disorders (EDs) are becoming more prevalent in China; however, no studies have been conducted to explore how Chinese media represented EDs, and how media representation of ED impacted public understanding of EDs. The aim of this study was to analyze articles about EDs in Chinese newspapers, and to identify any potential inaccuracies about EDs as represented in the media.

METHOD

Content analysis was employed to analyze a total number of 292 news articles over the span of two decades (1998-2019). Intercoder reliability was satisfactory for all the coded categories. The analysis was conducted on two different dimensions: for individual news article and for individual patient profile.

RESULTS

The bulk of news reporting on EDs was about anorexia nervosa and bulimia nervosa. A majority of individual patient profiles focused on young women. Anorexia nervosa was mentioned and discussed more frequently than bulimia nervosa. Chinese newspapers generally presented correct information concerning anorexia nervosa and bulimia nervosa, but conveyed shallow information about the etiology and treatment. There were also misconceptions of EDs as reported in Chinese media.

DISCUSSION

EDs have not received sufficient attention in Chinese media, as shown by the media coverage on EDs over the last two decades. Considering the increasing prevalence of EDs in China with its large population base, effective communication strategies are needed to call public attention to this health issue, and to galvanize the medical community and the society to devote more resources to improve the prevention and treatment of EDs in China.