OBJECTIVES: Mobile phone dependence has become increasingly prominent among university students, posing significant risks to their social functioning and mental health. Previous studies suggest that perfectionistic personality traits may be key psychological predictors of mobile phone dependence, but the underlying mechanisms remain unclear. This study aims to identify core symptoms of mobile phone dependence among university students and to examine the pattern of associations between different dimensions of perfectionism and mobile phone dependence. METHODS: A cross-sectional questionnaire survey was conducted among 1404 university students nationwide. The Mobile Phone Involvement Questionnaire (MPIQ) and the Forst Multidimensional Perfectionism Scale (FMPS) were used to assess mobile phone use and perfectionism traits. The EBIC-GLASSO network model was constructed to analyze the network structure linking perfectionism and mobile phone dependence. RESULTS: A total of 56.48% of university students in the sample met the criteria for mobile phone dependence. The total FMPS score was positively correlated with the total MPIQ score (r=0.47, P<0.001). Results of multiple linear regression controlling for demographic variables showed that dimensions of FMPS score significantly predicted MPIQ score (all P<0.05). Network analysis revealed that the central dimension in perfectionism is "organization" (expected influence=2.69) and the core symptom of mobile phone dependence was "I lose track of how much I am using my smartphone" (expected influence= 0.78). Bridge centrality analysis identified "organization" as a key bridging factor linking perfectionism and mobile phone dependence (bridge strength=1.96). Among the symptom-to-symptom connections, "parental expectations" showed the strongest positive association with "arguments have arisen with others because of my mobile phone use" (partial correlation coefficient=0.15), serving as a risk factor. In contrast, "organization" was most strongly negatively associated with the same symptom (partial correlation coefficient=-0.13), serving as a protective factor, suggesting a protective effect. CONCLUSIONS Mobile phone dependence is common among college students and is primarily characterized by a lack of self-control in phone use. Although perfectionism is generally positively associated with mobile phone dependence, its internal dimensions appear to exert a dual effect. Specifically, "parental expectations" and "doubt over actions" may increase the risk of mobile phone dependence, whereas "organization" serves as a protective factor, particularly against interpersonal conflicts related to phone dependency.
Humans ; Perfectionism ; Students/psychology* ; Cell Phone ; Universities ; Cross-Sectional Studies ; Male ; Female ; Surveys and Questionnaires ; China ; Young Adult ; Adult ; Adolescent ; Personality

Social working memory (SWM)-the ability to maintain and manipulate social information in the brain-plays a crucial role in social interactions. However, research on SWM is still in its infancy and is often treated as a unitary construct. In the present study, we propose that SWM can be conceptualized as having two relatively independent components: "externally oriented SWM" (e-SWM) and "internally oriented SWM" (i-SWM). To test this external-internal hypothesis, participants were tasked with memorizing and ranking either facial expressions (e-SWM) or personality traits (i-SWM) associated with images of faces. We then examined the neural correlates of these two SWM components and their functional roles in empathy. The results showed distinct activations as the e-SWM task activated the postcentral and precentral gyri while the i-SWM task activated the precuneus/posterior cingulate cortex and superior frontal gyrus. Distinct multivariate activation patterns were also found within the dorsal medial prefrontal cortex in the two tasks. Moreover, partial least squares analyses combining brain activation and individual differences in empathy showed that e-SWM and i-SWM brain activities were mainly correlated with affective empathy and cognitive empathy, respectively. These findings implicate distinct brain processes as well as functional roles of the two types of SWM, providing support for the internal-external hypothesis of SWM.
Humans ; Memory, Short-Term/physiology* ; Male ; Female ; Empathy/physiology* ; Young Adult ; Magnetic Resonance Imaging ; Adult ; Brain/diagnostic imaging* ; Brain Mapping ; Facial Expression ; Social Behavior ; Facial Recognition/physiology* ; Social Perception ; Personality/physiology*

OBJECTIVE: The prevalence of depressive symptoms has become a significant public health issue in China. Research on the relationship between personality traits and changes in depressive symptoms, as well as further exploration of urban-rural differences, not only benefits for the understanding of the prevalence trend of depression in China, but also provides a useful reference for the government to develop personalized mental health prevention strategies. METHODS: Based on the data from the China Family Panel Studies in 2018 and 2020, a univariate analysis was conducted on 16 198 Chinese residents aged 18 years and above. Five dimensions of personality traits were conscientiousness, extraversion, agreeableness, neuroticism and openness. In the study, 16 198 residents were divided into "keep good group", "better group", "worse group" and "keep bad group" according to the changes in depressive symptoms in 2018 and 2020. After controlling for factors, such as gender and education, multinomial Logistic regression analysis was used to examine whether personality traits were associated with changes in depressive symptoms. In addition, we evaluated whether urban-rural and personality traits interacted to influence depressive symptoms. RESULTS: The five dimensions of personality traits were significantly correlated with changes in depressive symptoms. Conscientiousness, extroversion, and agreeableness were negatively associated with depressive symptoms, while neuroticism and openness were positively related. Urban and rural differences moderated the relationship between personality traits and depressive symptoms. Compared with urban residents, rural residents showed stronger correlations between neuroticism (OR=1.14; 95%CI: 1.00-1.30) and the group of depression-recovery, as well as conscientiousness (OR=0.79;95%CI: 0.68-0.93) and the group of persistent-depression. CONCLUSION The study finds that personality traits have a significant correlation with changes in depressive symptoms, with certain traits showing a negative or positive relationship. Specifically, higher levels of conscientiousness, extraversion, and agreeableness are associated with lower levels of depressive symptoms, while higher levels of neuroticism and openness are associated with higher levels of depressive symptoms. In addition, the study finds that rural residents have a stronger association between their personality traits and persistent or improved depressive symptoms, which highlights the need for tailoring mental health intervention and prevention programs that should take into account personality traits and urban-rural differences in China. By developing targeted strategies that are sensitive to personality differences and geographic disparities, policymakers and mental health professionals can help prevent and reduce the incidence of depressive symptoms, ultimately improving the overall well-being of Chinese adults. Meanwhile, additional studies in independent populations are needed to corroborate the findings of this study.
Adult ; Humans ; Personality ; Depression/etiology* ; China/epidemiology* ; Personality Inventory ; Surveys and Questionnaires

Objective: Exploring the mediating effect of perceived social support between the maternal personality traits and pregnancy-related anxiety. Methods: Singleton pregnant women who underwent antenatal checkups in the obstetrics department of general hospital affiliated to Ningxia Medical University from July to December 2021 were enrolled in this study to investigate perceived social support, pregnancy-related anxiety and conscious personality traits. Pearson correlation analysis was used to analyze the association between the maternal personality traits, perceived social support, and pregnancy-related anxiety, and the mediating effect of perceived social support was analyzed using Bootstrap method. Results: A total of 1 259 subjects were included in the study, of which 170 (13.50%) pregnant women felt introverted. The total score of perceived social support was (46.37±8.38), and 31.45% of pregnant women had high perceived social support. The total score of pregnancy-related anxiety was (21.48±5.53). The score of worry about fetal health was (10.09±3.24), and 368 (29.23%) of pregnant women had pregnancy-related anxiety. Maternal personality traits and pregnancy-related anxiety were negatively correlated (r=-0.076, P<0.05) and positively correlated with perceived social support during pregnancy (r= 0.127, P<0.05). Perceived social support during pregnancy and pregnancy-related anxiety were negatively correlated (r=-0.236, P<0.05). Perceived social support partially mediated the relationship between the maternal personality traits and pregnancy-related anxiety, with a relative effect value of 37.50%. Conclusion: The maternal personality traits, level of perceived social support and pregnancy-related anxiety are all related. Perceived social support could mediate the relationship between the maternal personality traits and pregnancy-related anxiety.
Female ; Pregnancy ; Humans ; Anxiety ; Pregnant Women ; Personality ; Social Support ; Prenatal Care

Objective: To explore the basic psychological and personality characteristics of patients with laryngopharyngeal reflux disease (LPRD). Methods: The Minnesota Multiphasic Personality Inventory (MMPI) was used to investigate the psychological personality characteristics of 187 patients with LPRD (Study Group) and 75 healthy subjects (control group) who were treated in the otolaryngology clinic of Wuhan Central Hospital from January 2018 to December 2019. There were 102 males in the study group, aged from 20 to 71 (45.42±10.67) years and 85 females, aged from 18 to 65 (40.97±11.53) years; There were 41 males in the control group, aged from 18 to 67 (41.08±12.03) years and 34 females, aged from 20 to 65 (42.55±12.78) years. SPSS 24.0 software was used for statistical analysis. Results: The T scores of HS hypochondriac scale, D depression scale, Hy hysteria scale, Ma hypomania scale and MAS explicit anxiety scale in LPRD patients were significantly higher than those in healthy controls (t=6.304, 4.293, 5.750, 2.694, 5.178, all P<0.05). Correlation analysis showed that RSI score was positively correlated with T score of HS hypochondriac scale, Hy hysteria scale, Ma hypomania scale and MAS explicit Anxiety Scale (r=0.621, 0.402, 0.393, 0.581, all P<0.05); RFS score was positively correlated with T score of HS hypochondriac scale, Hy hysteria scale and MAS explicit Anxiety Scale (r=0.315, 0.321, 0.375, P<0.05). Conclusions: Compared with healthy people, LPRD patients have special personality psychological characteristics, which are mainly manifested as excessive attention to themselves, exaggerated illness, depression, sensitivity, somatization of psychological problems, irritability and mania. The severity of both subjective symptoms (RSI) and objective signs (RFS) of LPRD patients are related to their psychological personality characteristics.
Male ; Female ; Humans ; Laryngopharyngeal Reflux/diagnosis* ; Mania ; Hypopharynx ; MMPI ; Personality

Objective To analyze the personality traits and nutrition package feeding behaviors of infant caregivers in remote rural areas of Sichuan province and explore the relationship between them. Methods A multi-stage random cluster sampling method was employed to select the infants of 6-24 months old and their caregivers in the remote rural areas of Sichuan province.A structured questionnaire was designed to collect the basic characteristics of infants and their caregivers,as well as the feeding behaviors of the caregivers.The Ten-Item Personality Inventory in China was used to evaluate the caregivers' personality traits in five dimensions:extraversion,agreeableness,conscientiousness,emotional stability,and openness.Multivariate Logistic regression was adopted to analyze the relationship between personality traits and nutrition package feeding behaviors of infant caregivers. Results A total of 895 pairs of infants and their caregivers were investigated.The caregivers showed the average scores of 9.01±2.64,10.60±1.99,9.41±2.06,9.01±2.38,and 8.57±2.29 in the dimensions of extraversion,agreeableness,conscientiousness,emotional stability,and openness,respectively.The effective feeding rate of nutrition package was 53.3% (477/895).The results of regression analysis showed that under the premise of controlling for other factors,the caregiver's conscientious personality (OR=1.08,95%CI=1.004-1.153,P=0.038) was the protective factor for the effective feeding of nutrition package. Conclusion The feeding behavior of infant caregivers in the remote rural areas of Sichuan province remains to be improved,and the caregivers with high conscientious personality are more likely to feed their infants effectively.
Infant ; Humans ; Child, Preschool ; Caregivers ; Infant Nutritional Physiological Phenomena ; Rural Population ; Feeding Behavior ; China ; Personality

OBJECTIVE: To explore the relation of smoking status to family health and personality traits in residents aged over 18 years in China by binary Logistic regression analysis, to identify the psychosocial factors that influence tobacco use, and to provide evidence to predict smoking susceptibility based on personality traits and prevent smoking at individual and family levels. METHODS: Residents aged over 18 years in China were selected from "the Survey of Chinese Family Health Index (2021)". General characteristic questionnaire, short-form of family health scale, 10-item big five inventory were used to collect sociodemographic information, family health function and personality traits. And the relation of smoking status to family health and personality traits were analyzed by binary Logistic regression analysis. RESULTS: Totally 10 315 adults were collected, of whom there were 2 171 smokers. The smoking rate was 21.05%, 41.76% of the residents were male, 3.69% female, 20.03% urban, 23.77% rural, 12.60% aged between 18 and 35 years, 27.11% aged between 36 and 59 years, 34.35% aged over 60 years, and the smoking rate varied in gender, location, age, education, marital status, family types, and average household monthly income (P < 0.05). Furthermore, the scores of family health, family social and emotional health processes, family healthy lifestyle, family health resources, family external social support, agreeableness, openness, and neuroticism among smokers were lower than those of the non-smokers (P < 0.05). The results of binary Logistic regression analysis showed that the residents over 35 years old, with low educational level and divorced were the risk factors to smoking (P < 0.05), while female, unmarried, nuclear family, high scores of family social and emotional health processes and family health resources, openness, neuroticism, and agreeableness were the protective factors to smoking (P < 0.05). CONCLUSION Besides gender, age, location, education, marital status, family types and average household monthly income, family health, and personality traits were also important factors influencing smoking status. Tobacco control based on personality traits and family health is essential, and more convincing research is necessary to determine the relation of tobacco use, tobacco dependence and smoking cessation to family health and personality traits.
Adolescent ; Adult ; China/epidemiology* ; Family Health ; Female ; Humans ; Male ; Middle Aged ; Personality ; Smoking/epidemiology* ; Surveys and Questionnaires ; Young Adult

The research shows that personality assessment can be achieved by regression model based on electroencephalogram (EEG). Most of existing researches use event-related potential or power spectral density for personality assessment, which can only represent the brain information of a single region. But some research shows that human cognition is more dependent on the interaction of brain regions. In addition, due to the distribution difference of EEG features among subjects, the trained regression model can not get accurate results of cross subject personality assessment. In order to solve the problem, this research proposes a personality assessment method based on EEG functional connectivity and domain adaption. This research collected EEG data from 45 normal people under different emotional pictures (positive, negative and neutral). Firstly, the coherence of 59 channels in 5 frequency bands was taken as the original feature set. Then the feature-based domain adaptation was used to map the feature to a new feature space. It can reduce the distribution difference between training and test set in the new feature space, so as to reduce the distribution difference between subjects. Finally, the support vector regression model was trained and tested based on the transformed feature set by leave-one-out cross-validation. What's more, this paper compared the methods used in previous researches. The results showed that the method proposed in this paper improved the performance of regression model and obtained better personality assessment results. This research provides a new method for personality assessment.
Algorithms ; Brain ; Electroencephalography/methods* ; Emotions ; Humans ; Personality Assessment

OBJECTIVES: To investigate the epidemiological characteristics of antisocial personality disorder (ASPD) in young men in Chengdu and explore the characteristics and risks of violence. METHODS: Stratified random sampling was used to conduct a self-assessment questionnaire survey in 4 108 males aged from 18 to 34 in Chengdu, including general demographic characteristics, structured clinical interview for the diagnostic and statistical manual of mental disorders-Ⅳ axis Ⅱ disorders (SCID-Ⅱ) personality disorder screen questionnaire, violence questionnaire, psychosis screening questionnaire (PSQ), Alcohol Use Disorders Identification Test (AUDIT) and drug use. χ² test, univariate and multivariate logistic regression were used for analysis and odds ratio (OR) was calculated. RESULTS: The positive rate of ASPD was 5.91%, which was associated with young age, unmarried, unemployment state, low educational level, violent behavior, psychotic symptoms, alcohol and drug use (P<0.05). Young men with ASPD also had a risk (P<0.05) of violence (OR was 8.51), multiple violence (OR was 16.57), injury (OR was 6.68), intentional violence (OR was 11.41), etc., the risk decreased after controlling for psychotic symptoms and substance abuse, but was still statistically significant. CONCLUSIONS The risk of violence, severe violence and intentional violence in young men in Chengdu is high, and psychotic symptoms and substance abuse increase the risk of ASPD violence and relate characteristics.
Alcoholism/epidemiology* ; Antisocial Personality Disorder/epidemiology* ; Comorbidity ; Humans ; Male ; Substance-Related Disorders/epidemiology* ; Surveys and Questionnaires

OBJECTIVE: To explore the personality portraits of patients with type 2 diabetes mellitus (T2DM), its relationship with medication adherence and the influencing factors of medication adherence. METHODS: T2DM patients from 22 community health service stations of 4 community health service centers in Tongzhou district and Shunyi district in Beijing were selected as the research objects. A self-designed questionnaire was used to collect demographic information. The short version of Big Five personality scale was used to collect personality information, and latent profile analysis was used to explore their personality portraits. The medication adherence was evaluated by medication adherence scale, and the difference of medication adherence among the different personality portraits was explored by analysis of variance. The influencing factors of medication adherence were explored by the ordinal Logistic regression model. RESULTS: In the study, 751 T2DM patients were included. Latent profile analysis showed that the T2DM patients in this study could be divided into four types of personality portraits, including introverted and stable type (42.7%), negative type (12.7%), anxiety type (15.3%) and active and responsible type (29.3%). Among them, 75 patients said that they did not use medicine or insulin, 5 patients were lack of data, and finally 671 patients with T2DM were included in the analysis about medication adherence. The analysis of variance showed that there was no significant difference in medication adherence between anxiety type (5.55±1.65) and negative type (5.94±1.53, P=0.089), but the medication adherence score of anxiety type was significantly lower than that of introverted and stable type (6.17±1.46, P=0.001) and active and responsible type (6.09±1.65, P=0.004). Anxiety type and negative type were seen as a whole in the ordinal Logistic regression model named anxiety and negative type. The results showed that compared with anxiety and negative type, the active and responsible type or introverted and stable type was the protective factor for good medication adherence (OR=1.567, 95%CI: 1.096-2.237; OR=1.774, 95%CI: 1.214-2.591), and the education level also affected the medication adherence. CONCLUSION T2DM can be classified into four types of personality portraits based on Big Five personality theory. The anxiety and negative type after the combination of anxiety type and negative type is the independent risk factor for poor medication adherence. In addition, education level is also the influencing factor of medication compliance.
Anxiety/epidemiology* ; Beijing ; Diabetes Mellitus, Type 2/drug therapy* ; Humans ; Medication Adherence ; Personality