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Possible Classifications of Social Network Addiction:A Latent Profile Analysis of Chinese College Students 被引量:1
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作者 Lin Luo Junfeng Yuan +4 位作者 Yanling Wang Rui Zhu HuilinXu Siyuan Bi Zhongge Zhang 《International Journal of Mental Health Promotion》 2025年第6期863-876,共14页
Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims ... Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims to validate the 21-item SocialNetwork Addiction Scale-Chinese(SNAS-C)in its Chinese version and to determine its optimal cutoff score for identifying potential SNA cases within the college student population.Methods:A crosssectional survey was conducted,recruiting 3387 college students.Latent profile analysis(LPA)and receiver operating characteristic(ROC)curve analysis were employed to establish the optimal cutoff score for the validated 21-item SNAS-C.Results:Three profile models were selected based on multiple statistical criteria,classifying participants into low-risk,moderate-risk,and high-risk groups.The highest-risk group was defined as“positive”for SNA,while the remaining groups were considered“negative”,serving as the reference standard for ROC analysis.The optimal cutoff score was determined to be 72(sensitivity:98.2%,specificity:96.86%),with an overall classification accuracy of 97.0%.The“positive”group reported significantly higher frequency of social network usage,greater digitalmedia dependence scores,and a higher incidence of network addiction.Conclusion:This study identified the optimal cutoff score for the SNAS-C as≥72,demonstrating high sensitivity,specificity,and diagnostic accuracy.This threshold effectively distinguishes between high-risk and low-risk SNA. 展开更多
关键词 Social network addiction mental health latent profile analysis(LPA) receiver operating characteristic(ROC) social networking addiction scale-Chinese(SNAS-C)
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Profiles of Parent-Child Attachment and Peer Attachment among Adolescents and Associations with Internalizing Problems
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作者 Chao Qu Xiaoshan Jia Haidong Zhu 《International Journal of Mental Health Promotion》 2025年第3期401-420,共20页
Objectives:Attachment is a profound and enduring connection to the emotion children progressively form with their parents as they mature.It significantly impacts the social and psychological development of kids and te... Objectives:Attachment is a profound and enduring connection to the emotion children progressively form with their parents as they mature.It significantly impacts the social and psychological development of kids and teenagers.This study aimed to explore the latent profiles and longitudinal transition patterns of parent-child and peer attachments among adolescents.Methods:A cohort of 914 participants from China completed the measures with a twelve-month interval.There were 46.8%boys and 53.2%girls in this survey.Latent profile analysis(LPA)was adopted to explore the distinct profiles reflecting different parent-child and peer attachment response patterns at each time point.Latent transition analysis(LTA)was used to examine the membership of distinct latent profiles and how individuals move between profiles over time.Results:Three latent profiles were found:the poor parent-child communication profile,the moderate attachment profile,and the good attachment profile.It was shown that the transition probability from the poor parent-child communication and good attachment profiles to the moderate attachment profile was higher than the transition probability between the poor parent-child communication and good attachment profiles.Patterns of parent-child and peer attachments were associated with depression and anxiety.Conclusion:This study demonstrates differences in adolescents’attachment to fathers,mothers,and peers and the need for targeted interventions for groups of adolescents with moderate levels of parent-child and peer attachment. 展开更多
关键词 Parent-child attachment peer attachment ADOLESCENCE latent profile analysis latent transition analysis
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Moral Disengagement, Preference for Solitude, and Demographic Factors as Predictors of Aggressive Behavior Categorized by Latent Profile Analysis in Chinese Rural Boarding Junior High School Students
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作者 Yatong Li Wangqin Hu 《International Journal of Mental Health Promotion》 2025年第9期1383-1398,共16页
Objectives:Adolescents’aggression is widely studied,the underlying heterogeneity of aggression among rural Chinese boarding students remains unexplored.This study investigates the latent profiles of Chinese rural boa... Objectives:Adolescents’aggression is widely studied,the underlying heterogeneity of aggression among rural Chinese boarding students remains unexplored.This study investigates the latent profiles of Chinese rural boarding junior high school students’aggression and its correlations with moral disengagement and preference for solitude.Methods:A cross-sectional survey was conducted from 04–22 April 2022,using a convenient sampling method among 516 junior high school students from six Chinese rural boarding schools.The survey included the Aggression Questionnaire,the Moral Disengagement Scale(MDS),and the Preference for Solitude Scale(PSS).Results:Participants were divided into three latent profiles:low(36.0%),medium(50.9%),and high aggression levels(13.1%).Compared with low aggression,students who felt left-behind(minors who stay in the rural areas while one or both parents migrated to the urban areas for the work)accounted for a larger proportion in the medium aggression profile.The higher the grade level and the lower the educational level of the students’parents,the greater proportion of students in the medium and high aggression profiles.Additionally,students with high moral disengagement and preference for solitude showed a significant association with the medium aggression and high aggression profiles.Conclusions:The results demonstrate the significant group heterogeneity of aggression groups in Chinese rural boarding junior high school students.Targeted prevention and intervention measures can be carried out according to feeling left-behind,grade level,parents’education,and MDS and PSS scores. 展开更多
关键词 Junior high school students AGGRESSION moral disengagement SOLITUDE latent profile analysis
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Latent Profile Analysis:Mattering Concepts,Problematic Internet Use,and Adaptability in Chinese University Students
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作者 Jianlong Wang Xiumei Chen +3 位作者 Muqi Huang Rui Liu I-Hua Chen Gordon L.Flett 《International Journal of Mental Health Promotion》 2025年第2期241-256,共16页
Background:This study addresses the pressing need to understand the nuanced relationship between‘mattering’—the perception of being significant to others—and problematic internet use(PIU)among university students.... Background:This study addresses the pressing need to understand the nuanced relationship between‘mattering’—the perception of being significant to others—and problematic internet use(PIU)among university students.Unlike previous research that has primarily employed variable-centered approaches,this study first adopts a person-centered approach using Latent Profile Analysis(LPA)to identify distinct mattering profiles.Subsequently,through variable-centered analyses,these profiles are examined in relation to different types of PIU—specifically problematic social media use(PSMU)and problematic gaming(PG)—as well as adaptability.Methods:Data were collected from 3587 university students across 19 universities in China.Participants completed three mattering-related scales(General Mattering Scale,Anti-Mattering Scale,and Fear of Not Mattering Inventory),along with the Bergen Social Media Addiction Scale,the Internet Gaming Disorder Scale-Short Form,and the Nine-item Adaptability Scale.Results:A four-class model identified by LPA was optimally selected:Class 1(high general mattering,low anti-mattering,low fear of not mattering),Class 2(moderate levels),Class 3(moderate general mattering,high antimattering,high fear of not mattering),and Class 4(low general mattering,low fear of not mattering,moderate anti-mattering).Significant differences were found among these classes in both PIU types(PSMU:F=139.66,p<0.001;PG:F=162.96,p<0.001).The pattern of mean differences consistently showed:Class 3>Class 2>Class 4>Class 1.Class 3 participants demonstrated the highest likelihood of meeting the addiction criteria,Class 2 showed moderate probability,while Classes 1 and 4 exhibited lower probabilities(χ^(2)=113.38 to 408.87,all p<0.001).Additionally,Class 3 reported the lowest adaptability(F=131.67,p<0.001).Conclusion:This study reveals that the unique influence of three ways of assessing feelings of mattering and the fear of not mattering on university students’PIU at the personal level,concluding that these factors are integral to understanding PIU among this demographic. 展开更多
关键词 Mattering problematic social media use problematic gaming ADAPTABILITY latent profile analysis
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Social alienation in patients with inflammatory bowel diseases:A latent profileanalysis
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作者 Qingyu Wang Junyi Gu +6 位作者 Zheng Lin Sha Li Meijing Zhou Jiefeng Yang Hantian Cheng Jiali Chen Yang Lei 《International Journal of Nursing Sciences》 2025年第4期335-343,I0002,I0003,共11页
Objectives:The study aimed to explore social alienation types in patients with inflammatorybowel diseases(IBD)and identify influencingfactors.Methods:This cross-sectional study was conducted using purposive sampling a... Objectives:The study aimed to explore social alienation types in patients with inflammatorybowel diseases(IBD)and identify influencingfactors.Methods:This cross-sectional study was conducted using purposive sampling among patients with IBD from July 2022 to July 2023.Patients were assessed using the Generalized Social Alienation Scale(GSAS),the Brief Illness Perception Questionnaire(B-IPQ),the Hospital Anxiety and Depression Scale(HADS),and the Medical Coping Modes Questionnaire(MCMQ).Demographic and disease-related characteristics were also collected.Latent profileanalysis(LPA)was used to identify potential subgroups of social alienation.Univariate analysis and multicollinearity analysis were conducted to explore the influencing factors,followed by multiple regression analysis to evaluate the effect of influencingfactors on social alienation.Results:Three distinct profilesof social alienation were identified:integrated-low alienation group(n=61,20.20%),accommodative-moderate alienation group(n=195,64.57%),and maladaptive-high alienation group(n=46,15.23%).Seven characteristics were associated with the profile’smembership:self-perceived financialstress,malnutrition risk,disease duration,illness comprehensibility,anxiety,depression,and acceptance-resignation coping mode.Conclusions:Patients with IBD were categorized into three subgroups based on social alienation levels.Financial stress,malnutrition risk,disease duration,illness comprehensibility,anxiety,depression,and acceptance-resignation coping mode were key predictors of the subgroup membership.Targeted interventions should be developed to mitigate the negative effects of social alienation,with a focus on improving illness perception,alleviating anxiety and depression,and promoting effective coping strategies. 展开更多
关键词 Inflammatory bowel diseases Influencing factors latent profile analysis NURSING Social alienation
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The Relationship between Emotional Labor Strategies and Job Performance of Rotating Teachers:A Latent Profile Analysis
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作者 Huanfang Wang Xinyi Li +2 位作者 Fangfang Zhao Ximeng Cui Wei jian Li 《International Journal of Mental Health Promotion》 2025年第11期1813-1827,共15页
Background:In China,the policy of rotating teachers between urban and rural schools has been implemented to reduce educational disparities and ensure equitable access to quality education.These teachers face unique pr... Background:In China,the policy of rotating teachers between urban and rural schools has been implemented to reduce educational disparities and ensure equitable access to quality education.These teachers face unique professional and emotional challenges during the rotation process,making their emotional labor a critical factor influencing their job performance.This study aimed to explore the relationship between rotating teachers’emotional labor strategies and job performance.Methods:This study conducted a cross-sectional survey among 577 rotating teachers selected through stratified random sampling from primary and secondary schools in Chinese mainland.Date were collected using the Teacher Emotional Labor Scale and the Teacher Job Performance Scale.Latent profile analysis(LPA)was employed to identify distinct categories of emotional labor strategies:indifferent,moderately engaged,naturally invested,proactively adjusted,and emotionally elevated.Results:Teachers in the naturally invested and proactively adjusted types demonstrated relatively higher job performance scores,followed by those in the emotionally elevated type.In contrast,teachers in the indifferent and moderate engagement types exhibited comparatively lower scores(F=25.858,p<0.001,η^(2)=0.153).These findings indicate a practical significance,suggestion that flexible and adaptive use emotional labor strategies is strongly associated with enhanced job performance.Conclusion:This study demonstrates that rotating teachers’job performance differs significantly across distinct emotional labor profiles,with balanced and adaptive emotional regulation emerging as a key determinant of higher performance.By identifying and characterizing individual-centered emotional labor profiles,the study advances understanding of how emotional regulation contributes to teachers’professional effectiveness.These results underscore the importance of providing systematic and personalized support to help rotating teachers develop adaptive emotional regulation skills.Targeted guidance should enable teachers to appropriately express and adjust their emotions,thereby avoiding both excessive and insufficient emotional labor and promoting sustainable professional development. 展开更多
关键词 Rotating teacher emotional labor strategies job performance latent profile analysis emotional regulation
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Risk factors for paternal perinatal depression in Chinese advanced maternal age couples:A regression mixture model
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作者 Xing Yin Juan Du +1 位作者 Shao-Lian Cai Xing-Qiang Chen 《World Journal of Psychiatry》 2026年第1期267-277,共11页
BACKGROUND Paternal perinatal depression(PPD)is closely associated with maternal mental health challenges,marital strain,and adverse child developmental outcomes.Despite its significant impact,PPD remains under-recogn... BACKGROUND Paternal perinatal depression(PPD)is closely associated with maternal mental health challenges,marital strain,and adverse child developmental outcomes.Despite its significant impact,PPD remains under-recognized in family-centered clinical practice.Concurrently,against the backdrop of rising rates of delayed marriage and China’s Maternity Incentive Policy,the proportion of women giving birth at an advanced maternal age is increasing.Nevertheless,research specifically examining PPD among spouses of older mothers remains critically scarce,both in China and globally.AIM To investigate PPD and its influencing factors in Chinese advanced maternal age families.METHODS This cross-sectional study included 358 participants;it was conducted among fathers of pregnant women of advanced maternal age at five hospitals in the Pearl River Delta region of China from September 2023 to June 2024.Data were collected via a general information questionnaire,the Social Support Rating Scale,and the Edinburgh Postnatal Depression Scale.Latent profile analysis and regression mixture models(RMMs)were adopted to analyze the latent PPD types and factors that influenced PPD.RESULTS The incidence of PPD was 16.48%,and three profiles were identified:Low-symptomatic(175 cases,48.89%),monophasic(140 cases,39.10%),and high-symptomatic(43 cases,12.01%).The RMM analysis revealed that first pregnancy,low income(<¥3000/month),part-time work,and a history of abnormal pregnancy were positively associated with the high-symptomatic type(P<0.05).Conversely,high subjective support and support utilization were negatively associated with the high-symptomatic type compared with the low-symptomatic type(P<0.05).Good couple relationships,high objective and subjective support,and high support utilization were negatively associated with monophasic disorder(P<0.05).CONCLUSION PPD incidence is high among Chinese fathers with advanced maternal age partners,and the characteristics of depression are varied.Healthcare practitioners should prioritize individuals with low levels of social support. 展开更多
关键词 Advanced maternal age Paternal perinatal depression Fathers’mental health Regression mixture model Advanced-age pregnancy latent profile analysis
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Network analysis of adolescent non-suicidal self-injury subgroups identified through latent profile analysis 被引量:2
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作者 Wei Yang Kun Lian +3 位作者 Yu-Qi Cheng Xiu-Feng Xu Xin-Cen Duan Xu You 《World Journal of Psychiatry》 SCIE 2024年第12期1936-1946,共11页
BACKGROUND Non-suicidal self-injury(NSSI)is common among adolescents and frequently cooccurs with depression.Understanding the distinct patterns of NSSI behaviors,along with their associated risk and protective factor... BACKGROUND Non-suicidal self-injury(NSSI)is common among adolescents and frequently cooccurs with depression.Understanding the distinct patterns of NSSI behaviors,along with their associated risk and protective factors,is crucial for developing effective interventions.AIM To classify NSSI behaviors and examine interactions between risk and resilience factors in Chinese adolescents.METHODS A cross-sectional study involving 3967 Chinese students(51.7%female,mean age 13.58±2.24 years)who completed questionnaires on parenting styles,bullying,childhood maltreatment,depression,resilience,and NSSI.Latent profile analysis(LPA)was used to identify NSSI subtypes,and network analysis explored interactions between risk and resilience factors.RESULTS Three NSSI subtypes were identified:NSSI with depression(18.8%),NSSI without depression(12.3%),and neither(68.9%).Bullying was the central risk factor across subtypes,while emotional control and family support were key protective factors.Statistical analyses showed significant differences between groups(P<0.001).CONCLUSION This study identified three NSSI subtypes among Chinese adolescents.Bullying emerged as a central risk factor,while emotional control and family support were key protective factors.Targeting these areas may help reduce NSSI behaviors in this population. 展开更多
关键词 Non-suicidal self-injury ADOLESCENT Network analysis latent profile analysis RESILIENCE
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Latent profile analysis of perceived stress and influencing factors in colorectal cancer patients
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作者 Yu-Yue Tan Yin-Hong Liu +3 位作者 Zhi-Hui Zhang Wei-Rong Huang Man-Lin Yan Xian-Rong Li 《Frontiers of Nursing》 2024年第3期303-312,共10页
Objective:To understand the latent categories of perceived stress in colorectal cancer patients and analyze the characteristics of different categories of patients.Methods:A total of 255 colorectal cancer patients rec... Objective:To understand the latent categories of perceived stress in colorectal cancer patients and analyze the characteristics of different categories of patients.Methods:A total of 255 colorectal cancer patients receiving treatment in the gastrointestinal surgery and oncology depar tments of a ter tiary Grade A hospital in Sichuan Province,from January 2023 to June 2023,were selected as the study subjects.General information questionnaire,Chinese version of the Perceived Stress Scale(CPSS),and Comprehensive Score Table for Patient-Repor ted Outcome Measures of Economic Toxicity(COST-PROM)were used for data collection.Results:Perceived stress in colorectal cancer patients was classified into 3 latent categories:C1“Low stress-stable type”(19.2%),C2“Moderate stress-uncontrolled type”(23.9%),and C3“High stress-anxious type”(56.9%).The average score of perceived stress was(34.07±5.08).Compared with C1 type,patients with a monthly household income of≤3000 RMB were more likely to belong to the C2 and C3 types(P<0.05),and patients without a stoma were less likely to belong to C3 type(P<0.05).Compared with C2 type,male patients were more likely to belong to C3 type(P<0.05),and patients without a stoma were less likely to belong to C3 type(P<0.05).Compared with C3 type,patients with higher economic toxicity scores were more likely to be classified into C1 and C2 types(P<0.05).Conclusions:Perceived stress in colorectal cancer patients exhibits distinct categorical features.Male gender,lower income,presence of a stoma,and higher economic toxicity are associated with higher levels of perceived stress in colorectal cancer patients. 展开更多
关键词 colorectal cancer economic toxicity influence factors latent profile analysis perceived stress
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Profiles of depressive disorders and influencing factors among the elderly in China: protocol for a secondary data analysis
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作者 Zhen-Wei Dai 《Aging Communications》 2022年第3期1-3,共3页
Background:Depressive disorders have become a major risk factor that influences people’s health worldwide,but few studies have focused on the prevalence of depressive disorders among the Chinese elderly and their cha... Background:Depressive disorders have become a major risk factor that influences people’s health worldwide,but few studies have focused on the prevalence of depressive disorders among the Chinese elderly and their characteristics of depressive disorders.The current study is a secondary data analysis designed to explore the profiles of depressive disorders in the Chinese elderly by latent profile analysis.Methods:The China Health and Retirement Longitudinal Study(CHARLS 2018)database will be used for analysis.Latent profile analysis will be employed to identify the profiles of depressive disorders using data from the subsection“CESD Depression”in the section“Cognition and Depression”.Stepwise multinomial logistic regression will be used to explore the influencing factors of different profiles of depressive disorders among the Chinese elderly.Discussion:The prevalence of depressive disorders among the Chinese elderly and their profiles of depressive disorders will be reported.Possible influencing factors may include some demographic characteristics and associated psychological elements,which will provide a reference for further research and precise intervention. 展开更多
关键词 depressive disorders the elderly China latent profile analysis
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Characteristics and Influencing Factors of Self- Advocacy in Young and Middle-Aged Patients with Breast Cancer: A Latent Profile Analysis
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作者 Xinyi Wang Shan Zhang +1 位作者 Shaoshun Zhang Yu Bao 《Journal of Clinical and Nursing Research》 2024年第12期147-158,共12页
Objective:To explore the potential categories and influencing factors of self-advocacy in young and middle-aged patients with breast cancer and to provide a theoretical basis for personalized intervention.Methods:From... Objective:To explore the potential categories and influencing factors of self-advocacy in young and middle-aged patients with breast cancer and to provide a theoretical basis for personalized intervention.Methods:From September 2023 to March 2024,314 young and middle-aged breast cancer patients were studied.Female cancer patients were surveyed using the self-advocacy scale,social support rating scale,and chronic health literacy scale.Latent profile analysis was used to investigate the heterogeneity and influencing factors of self-advocacy.Results:Self-advocacy among young and middle-aged breast cancer patients were classified into two potential categories:low advocacy-lack of support(51.7%)and high advocacy-effective communication(48.3%).Binary logistic regression analysis indicated that educational level,per capita monthly income,social support,and health literacy were significant influencing factors of these categories(P<0.05).Conclusion:Self-advocacy in young and middle-aged breast cancer patients demonstrates categorical heterogeneity.Identifying self-advocacy characteristics and implementing targeted intervention strategies—focused on self-efficacy and improving health literacy—can enhance self-advocacy in these patients. 展开更多
关键词 Young and middle-aged Breast cancer SELF-ADVOCACY latent profile analysis
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Current Status of Key Competencies among Medical Students: A Latent Profile Analysis
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作者 Mengyao Xiao Li Yan +1 位作者 Yongping Xia Li Liu 《Open Journal of Applied Sciences》 2024年第2期450-465,共16页
The purpose of this study was to understand the overall level of key competencies of medical students and explore the potential profile of key competencies, promoting quality education, and improving the quality talen... The purpose of this study was to understand the overall level of key competencies of medical students and explore the potential profile of key competencies, promoting quality education, and improving the quality talent cultivation in medical colleges. A stratified random sampling method selected 734 medical students from four medical colleges in Chongqing Province of China. A general information questionnaire and a key competencies survey questionnaire were used to conduct the survey. The overall score and scores of each dimension of key competencies were analyzed. Latent profile analysis was conducted to classify the key competencies of medical students and compare the distribution differences of demographic variables among different categories. The results showed that 26% of medical students have never heard of the concept of key competencies, and 59% of them are not familiar with the content related to key competencies. The score of key competencies is 3.66 ± 0.60, with the highest score in the dimension of responsibility and the lowest score in the dimension of humanistic accomplishment. The latent profile analysis classified them into three categories: “low key competencies group (14.71%)”, “medium key competencies group (36.79%)”, and “high key competencies group (48.50%)”. The R3STEP regression analysis results showed statistically significant differences in educational level and whether they served as student cadres among different key competencies categories of medical students. This paper discusses three different potential key competencies categories among medical students, and the overall level of key competencies is relatively good. However, medical students lack a comprehensive and systematic understanding of key competencies. Humanistic accomplishment, healthy living, and practical innovation are the three dimensions with lower scores and should be given more attention. Medical colleges should integrate the concept of key competencies into teaching and implement it in medical practice to cultivate more high-quality medical talents for society. 展开更多
关键词 Sustainable Education Medical Students Key Competencies latent Profile Analysis
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Profiling student’s psychological capital and risk for learner burnout:Results and implications of a Chinese study
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作者 Ruijun Song Xichen Qin +4 位作者 Xiaomei Yang Mei Wu Jinyu Hong Youping Cao Yuting Ning 《Journal of Psychology in Africa》 2025年第2期265-270,共6页
The current study conducted the psychological capital profiles and the relation between profile memberships and learning burnout among undergraduates.Participants were 541 Chinese undergraduates ranging from 18 to 21 ... The current study conducted the psychological capital profiles and the relation between profile memberships and learning burnout among undergraduates.Participants were 541 Chinese undergraduates ranging from 18 to 21 years old(48.2%male;Mean years=19.54,SD=1.09 years).Latent profile analysis revealed three categories of psychological capital profile consistent high psychological capital profile(50.5%),consistent low psychological capital profile(38.1%),and dominate loss-orientated psychological capital profile(11.4%).The undergraduates in consistent high profile reported high self-efficacy,resilience,hope,and optimism.Consistent low profile characterized by a little low(~0.50 SD below the M)self-efficacy,resilience,hope,and optimism.Dominant loss-orientated profile displayed low self-efficacy,hope,optimism,but a little relatively high resilience.Specifically,undergraduates in consistent high profile exhibited low level of learning burnout;while undergraduates with low level of psychological capital(i.e.,consistent low profile and dominate loss-orientated profile)reported high level of learning burnout.The findings have theoretical significance which provides important knowledge about psychological capital profile among Chinese undergraduates.They have practical implications for student counselling and development providing person-centric support to students based on their individual psychological profiles. 展开更多
关键词 psychological capital learning burnout UNDERGRADUATES latent profile analysis
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Exploring Adolescents’Social Anxiety,Physical Activity,and Core Self-Evaluation:A Latent Profile and Mediation Approach
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作者 Huazhe Wan Wenying Huang +1 位作者 Wen Zhang Chang Hu 《International Journal of Mental Health Promotion》 2025年第10期1611-1626,共16页
Background:Social anxiety is prevalent among adolescents and severely impacts their mental health and social functioning.This study aims to explore the underlying mechanisms and subgroup differences in adolescent soci... Background:Social anxiety is prevalent among adolescents and severely impacts their mental health and social functioning.This study aims to explore the underlying mechanisms and subgroup differences in adolescent social anxiety to provide a theoretical basis for targeted interventions.Methods:3025 Chinese adolescents(Meanage=13.91±1.60 years;47%male)completed self-report measures of physical activity,core self-evaluation,and social anxiety.Variable-centered analyses employed PROCESS Model 4 with 5000 bootstrap samples;covariates were gender,grade,and place of residence.Person-centered analyses used latent profile analysis in Mplus 8.3 to identify subgroups based on social anxiety item profiles.Results:Variable-centered analyses showed that physical activity had a significant negative association with social anxiety(β=−0.224,p<0.001)and a significant positive association with core self-evaluation(β=0.471,p<0.001);core self-evaluation partially mediated this relationship,accounting for 30%of the total effect.Person-centered analyses revealed an optimal two-profile solution:a low social anxiety profile(89.6%)and a high social anxiety profile(10.4%).The high social anxiety profile reported significantly lower physical activity and lower core self-evaluation than the low social anxiety profile.Conclusions:This study integrates variable-centered and person-centered evidence,identifies physical activity and core self-evaluation as key modifiable factors in reducing social anxiety,providing a theoretical basis for targeted and differentiated interventions. 展开更多
关键词 ocial anxiety physical activity core self-evaluation latent profile analysis variable-centered approach person-centered approach
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A person-centered approach to achievement goal orientations in competitive tennis players: Associations with motivation and mental toughness
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作者 Richard Gregory Cowden Nicolas Mascret Timothy Ryan Duckett 《Journal of Sport and Health Science》 SCIE 2021年第1期73-81,共9页
Background:Research on achievement goal orientations in sport has typically relied on the use of variable-centered approaches that tend to overlook population heterogeneity.In this study,we used a person-centered appr... Background:Research on achievement goal orientations in sport has typically relied on the use of variable-centered approaches that tend to overlook population heterogeneity.In this study,we used a person-centered approach to identify subgroups of competitive tennis players according to unique combinations of achievement goal orientations and tested for subgroup differences in motivation and mental toughness.Methods:A sample of 323 competitive tennis athletes(69.35%male)between 15 and 25 years of age(17.60±2.40 years,mean±SD)completed the 3×2 Achievement Goal Questionnaire for Sport,Sport Motivation Scale Ⅱ,and Mental Toughness Index.Latent profile analysis was used to identify unique combinations of achievement goal orientations.Comparisons between latent subgroups on autonomous motivation,controlled motivation,and mental toughness were performed using analysis of variance.Results:Latent profile analysis supported 3 distinct patterns of achievement goal profiles that were primarily distinguishable based on valence of competence(i.e.,approach vs.avoidance).Analyses of variance indicated that athletes who were classified into subgroups that endorsed approach types of goals(regardless of the types of avoidance goals they endorsed)reported higher levels of autonomous motivation and mental toughness.Conclusion:Results indicated that athletes tend to pursue a number of achievement goals collectively rather than in isolation.Although approach goals are more commonly linked to adaptive psychological functioning and positive outcomes,avoidance goals may also be associated with desirable psychological characteristics if they are pursued in conjunction with approach types of achievement goals. 展开更多
关键词 Achievement goals latent profile analysis Mental toughness MOTIVATION SPORT
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Exercise self-efficacy in older adults with metabolic-associated fatty liver disease:A latent profile analysis
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作者 Huimin Zhou Haiyan Chen +4 位作者 Di Wu Hanxiao Lu Bo Wu Zhixia Dong Jun Yang 《Sports Medicine and Health Science》 2025年第4期285-291,共7页
China has a high prevalence rate of Metabolic-associated fatty liver disease(MAFLD),and there is currently limited understanding of the levels of exercise self-efficacy(ESE)among individuals with MAFLD.The objective w... China has a high prevalence rate of Metabolic-associated fatty liver disease(MAFLD),and there is currently limited understanding of the levels of exercise self-efficacy(ESE)among individuals with MAFLD.The objective was to explore the potential ESE patterns in older adults with MAFLD.A cross-sectional study was conducted on 800 older adults with fatty liver disease from five communities from April 20,2023 to August 15,2023.Latent profile analysis(LPA)and k-means clustering were used to determine the optimal number of ESE groups.Using univariate analysis and multivariate logistic regression to investigate the factors influencing profiles of ESE.A sample of 775 subjects met the diagnostic criteria for MAFLD.LPA yielded three profiles:the low-ESE,mild-ESE,and high-ESE groups,which comprised 25%,28%,and 47%of the sample,respectively.K-means clustering further supported the categorization of ESE into three distinct classes.The multivariate logistic regression analysis revealed that diabetes,arthritis and/or arthrosis,as well as companionship during PA were significant influencing factors for the different profiles(p<0.05).Our findings suggest that the ESE of older patients with MAFLD is primarily at a moderate level or above.There was population heterogeneity in ESE among older patients with MAFLD.Diabetes mellitus,arthritis,and/or arthrosis,as well as companionship during PA were significant factors in influencing the likelihood of having high ESE. 展开更多
关键词 Metabolic-associated fatty liver disease Exercise self-efficacy Older adults latent profile analysis
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Older adults’social participation and social relationship and association with partner’s cognition:a latent profile analysis
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作者 Yiyang Yuan Changmin Peng +1 位作者 Yan Lin Shan Qu 《China Population and Development Studies》 2023年第4期418-437,共20页
Older adults’social participation and social relationship may be affected by their partners’cognitive function.In 3,722 cognitively intact married/partnered Health and Retirement Study respondents,latent profile ana... Older adults’social participation and social relationship may be affected by their partners’cognitive function.In 3,722 cognitively intact married/partnered Health and Retirement Study respondents,latent profile analysis identified three social participation profiles(Limited overall social participation(prevalence:69%);Frequent volunteer participation(10%);Frequent non-volunteer participation(21%)),and three social relationship profiles(Social support from all relationships(68%);Mixed social support and strain from all relationships(18%);Social strain from partner with support from other relationships(14%)).Spouse/partner’s cognition was not significantly associated with social participation profiles.Impaired cognition in spouses/partners increased older adults’likelihood of perceiving social strain from their partners with support from other relationships.Frequent volunteer and non-volunteer participation and perceiving social support from all relationships predicted better self-rated health and lower odds of depressive symptoms.These findings highlight the need of community programs that promote social connectedness for older adults living with cognitively impaired spouses/partners. 展开更多
关键词 Cognitive impairment Social participation Social relationship latent profile analysis Self-rated health Depressive symptoms
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Choosing Among PCA,FA,LCA,LPA,and LDA
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作者 Zhenqiu Lu 《Fudan Journal of the Humanities and Social Sciences》 2025年第1期45-78,共34页
Principal component analysis(PCA),factor analysis(FA),latent class analysis(LCA),and latent profile analysis(LPA)are prominent statistical models in the social and behavioral sciences,employed to reveal underlying pat... Principal component analysis(PCA),factor analysis(FA),latent class analysis(LCA),and latent profile analysis(LPA)are prominent statistical models in the social and behavioral sciences,employed to reveal underlying patterns and relationships within extensive datasets.PCA involves reducing observed variables while retaining dataset variance by generating principal components.FA aims to decrease observed variable dimensions by identifying underlying factors.LCA and LPA,respectively,focus on discerning latent classes and profiles based on response patterns to categorical and continuous variables.Recently,latent Dirichlet allocation(LDA)method has gained increasing popularity for its application in analyzing textual data alongside numerical responses,contributing to the extraction of hidden structures within complex textual data.Topic modeling(TM),a broader method,is used to identify underlying themes or topics in text corpora,with LDA representing a specific application of TM.Despite some common goals of uncovering hidden structures,these models vary in statistical theory,algorithms,and applications.This paper seeks to investigate these differences and similarities,facilitating researchers in selecting the appropriate model to address their specific research questions.Each model is introduced first,outlining its statistical form and relevant theory.A comprehensive comparison of these models emphasizing their distinguishing features is provided,followed by the illustration of these models and methods.Finally,practical recommendations are offered to aid researchers in effectively implementing these models in their own research. 展开更多
关键词 Principal component analysis(PCA) Factor analysis(FA) latent class analysis(LCA) latent profile analysis(LPA) The latent Dirichlet allocation(LDA)
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