Latent class analysis of depression and anxiety among medical students during COVID-19 epidemic

Heterogeneity in the co-occurrence of depression and anxiety among adolescents: Results of latent profile analysis

BACKGROUND

Depression and anxiety co-occur frequently and there is heterogeneity in the co-occurrence of such symptoms; however, few previous studies investigated the heterogeneity based on person-centered perspectives in adolescents. The primary aim of our study was to explore it using latent profile analysis (LPA), a person-centered statistical approach.

METHOD

The Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7) were used to examine depression and anxiety symptoms in 7422 Chinese adolescents from 23 primary and secondary schools. To investigate latent profiles and assess profile validity, we employed Latent Profile Analysis (LPA), multinomial logistic regression, and analysis of variance.

RESULTS

A three-profile model was suggested as the optimum: low (69.9 %), moderate (21.6 %), and high depression/anxiety (8.5 %). Female with higher negative cognitive bias and higher emotional regulation difficulty are more likely to be categorized in the high depression/anxiety group. Internet addiction, academic "Lying flat" and involution are significantly and positively linked with the severity of anxiety and depression.

LIMITATIONS

Reliance on self-reported measures may lead to response bias; the cross-sectional design limits our ability to study how symptom profiles and category membership change over time.

CONCLUSIONS

Three latent profiles of the co-occurrence of depression and anxiety presented a parallel pattern, which serves as a poignant reminder of the imperative need to identify Chinese adolescents who may be at elevated risk for depression and/or anxiety, and promoting intervention that are meticulously tailored to address the unique symptom presentations of each individual.

The role of lifestyle and mental health in the weight change of higher vocational college students in Fuzhou, China during COVID-19

Objectives

This study is aimed to explore the influence of higher vocational college students' lifestyle and mental health on weight change in Fuzhou during COVID-19.

Methods

This study adopted the cross-sectional study method and a total of 1426 students (1111 women and 315 men) were recruited from higher vocational college in Fuzhou. The questionnaire mainly included six dimensions: demographic characteristics, anthropometric measurements, dietary habits, physical activity, sleep quality and psychological status.

Results

According to the weight changes, the group was divided into weight loss group, constant weight group and weight gain group. More people in the weight gain group had increased their intake of various foods compared to the other groups (P < 0.001), in addition, the number of physical activity decreased and basically unchanged was more, and the number of sedentary time increased and basically unchanged was more in the three groups(P < 0.001). The incidence of poor sleep quality (60.3 %, 46.9 %, 57.5 %, P < 0.001), depressive symptoms (58.9 %, 47.5 %, 62.0 %, P < 0.001) and anxiety symptoms (42.5 %, 35.8 %, 45.3 %, P = 0.005) in the weight loss group and the weight gain group were significantly higher than those in the constant weight group. After adjusting for the potential confounders (including age, sex, grade, smoking, drinking, diet, etc.), decreased physical activity, depressive symptoms and anxiety symptoms were independent risk factors for weight gain compared with the constant weight group(OR = 1.643, P = 0.046; OR = 1.695, P < 0.001; OR = 1.389, P = 0.020).

Conclusions

The increased food intake, decreased physical activity, depressive symptoms and anxiety symptoms were positively correlated with weight gain.

The impact of problematic mobile phone use and the number of close friends on depression and anxiety symptoms among college students

Background

Psychological problems often occur in college students, with the most common ones being depression and anxiety symptoms. Exploring the risk factors that influence depression and anxiety symptoms in college students is essential to promote their physical and mental health.

Objective

This study aimed to investigate the independent and interaction effects of problematic mobile phone use (PMPU) and the number of close friends (NCFs) on depression and anxiety symptoms and the comorbidity of these symptoms among college students.

Methods

A cross-sectional survey was conducted in Huainan, Anhui Province, and Suzhou, Jiangsu Province in China from October to December 2022. Data from 7,617 college students were collected. The Patient Health Questionnaire and Generalized Anxiety Disorder-7 were used to evaluate depression and anxiety symptoms. The PMPU data were collected by the Mobile Phone Addiction Type Scale. Multinomial logistic regression models were performed to examine the associations of PMPU and NCFs with depression and anxiety symptoms and their interaction effects.

Results

PMPU and lack of close friends significantly increased the risk of depression and anxiety symptoms and the comorbidity of these symptoms in college students (p < 0.001). In addition, the effects of PMPU and lack of close friends on depression and anxiety symptoms in college students were interactive (p < 0.001). No significant sex differences were found.

Conclusion

PMPU and lack of close friends are important risk factors for depression, anxiety, and the comorbidity of these symptoms in college students in China.

Mental health profiles and the related socio-demographic predictors in Hong Kong university students under the COVID-19 pandemic: A latent class analysis

While the COVID-19 pandemic has brought about significant challenges to mental health of university students, there is limited research in this area. Particularly, few studies examined the person-centered mental health symptom profiles such as depression and anxiety and the related socio-demographic predictors. Using Latent Class Analysis (LCA), this study investigated the symptom profiles of depression and anxiety in university students in Hong Kong under the COVID-19 pandemic and the socio-demographic predictors. A total of 978 undergraduate students completed an online questionnaire including socio-demographic factors and measures of depression and anxiety during the summer of 2022. The LCA identified three latent classes: "normal" group, "moderate comorbid depression and anxiety" group and "severe comorbid depression and anxiety" group. Multinominal logistic regression showed that comparing with the "normal" group and the "moderate symptom" group, the "severe symptom" group had higher personal financial difficulties and individual/family member unemployment during the pandemic. In contrast, other socio-demographic factors (age, gender, year of study, living status, and COVID-19 infection status) had no significant association with group status. The study contributes to understanding of person-centered depression and anxiety symptom profiles and the risk role of personal financial difficulty in mental health of university students under the pandemic.

Symptoms and prevalence of common mental disorders in a heterogenous outpatient sample: an investigation of clinical characteristics and latent subgroups

BACKGROUND

Patient-reported outcome measures (PROM) provide clinicians with information about patients' perceptions of distress. When linked with treatment and diagnostic registers, new information on common mental health disorders (CMHD) and service use, may be obtained, which might be useful clinically and for policy decision-making. This study reports the prevalence of CMHD and their association with PROM severity. Further, subgroups of self-reported symptoms of depression and anxiety were examined, and their association with clinician-assessed mental disorders, functional impairment, and service use.

METHODS

In a cohort study of 2473 (63% female) outpatients, CMHD was examined with pre-treatment scores of self-reported depression and anxiety, and the number of assessments and psychotherapy appointments one year after treatment start. Factor mixture modelling (FMM) of anxiety and depression was used to examine latent subgroups.

RESULTS

Overall, 22% of patients with a CMHD had an additional comorbid mood/anxiety disorder, making the prevalence lower than expected. This comorbid group reported higher symptoms of anxiety and depression compared to patients with non-comorbid disorders. FMM revealed three classes: "anxiety and somatic depression" (33%), "mixed depression and anxiety" (40%), and "cognitive depression" (27%). The anxiety and somatic depression class was associated with older age, being single and on sick leave, higher probability of depressive-, anxiety-, and comorbid disorders, having more appointments and higher functional impairment. Although the cognitive depression class had less somatic distress than the mixed depression and anxiety class, they reported more functional impairment and had higher service use.

CONCLUSION

The results show that higher levels of somatic symptoms of depression could both indicate higher and lower levels of functional impairment and service use. A group of patients with high somatic depression and anxiety was identified, with severe impairment and high service needs. By gaining insights into CMHD factors' relation with clinical covariates, self-reported risk factors of depression and anxiety could be identified for groups with different levels of aggravating life circumstances, with corresponding service needs. These could be important symptom targets in different groups of patients.

Network of burnout, depression, anxiety, and dropout intention in medical undergraduates

BACKGROUND

Burnout, depression, and anxiety are highly prevalent among medical students, which often leads to their attrition. We aim to assess the inter-relationships of depression, burnout, and anxiety symptoms with dropout intention among Chinese medical undergraduates using the network analysis.

METHOD

A total of 3,648 Chinese medical undergraduates were recruited through snowball sampling. Learning burnout scale, 9-item Patient Health Questionnaire (PHQ-9), and General Anxiety Disorder Scale (GAD-7) was used to assess burnout, depression, and anxiety symptoms, respectively. We used the EBICglasso model to estimate the network. We compared the network based on gender, study phase, and clinical experience.

RESULTS

After removing repeated submissions and incorrect responses to the trap question, 3,536 participants were included in the final analysis. The prevalence of burnout, depression, anxiety, and dropout intention was 38, 62.7, 38.4, and 39% respectively, which is consistent with previous findings. Network analysis suggested that anxiety and depression items clustered together and displayed several strong bridge connections, while burnout items formed another cluster. All the strongest edges were within the respective distress. Cynicism symptoms 'I am fed up with study' and 'I want to study but I feel that studying is boring' were the most central symptoms, while 'fatigue' and 'worthless' were the bridge symptoms within the burnout-depression-anxiety network. Other central symptoms included 'worthless', 'I can handle my courses', 'nervous', and 'uncontrollable worry'. Cynicism symptoms 'I am interested in my major' and 'I feel that the knowledge I have learned is useless' were mostly related to dropout intention. Gender, study phase, and clinical experience didn't affect the global strength of the burnout-depression-anxiety network.

CONCLUSION

Our results indicated the predominance of cynicism symptoms within the burnout-depression-anxiety network and its substantial impact on dropout intention, suggesting that early detection and intervention for cynicism symptoms in Chinese medical students are in urgent need. Other central and bridge symptoms might also serve as potential targets for the prevention and treatment of burnout, depression, and anxiety among medical students. For example, studies suggest cognitive-behavioral therapy could quickly improve 'worthless', which might be beneficial in treating burnout, depression, and anxiety in medical students.

Relationship Between Freshmen's Psychological Health and Family Economic Status in Chinese Universities: A Latent Profile Analysis

Purpose

With the rapid social changes, psychological health problems among freshmen in universities have become increasingly serious. Many researchers have studied the psychological health status of college freshmen using quantitative methods. However, most researchers have studied the psychological health of college freshmen by treating variables as the central concept and analysis unit, which has limitations on the variable-centered research method. Therefore, this study aims to explore the impact of family economic status and demographic variables on the psychological health of college freshmen, as well as the potential types of psychological health among college freshmen.

Methods

Based on the SCL-90 and the self-evaluation of the family economic status of college freshmen, latent profile analysis (LPA) was used to analyze the psychological health of 1497 college freshmen selected through a whole-group sampling method. Freshmen completed the questionnaire from October 18 to October 20, 2022. Then, multinomial logistic regression analysis and variance analysis were conducted using SPSS 25.0 to analyze the impact of family economic status and demographic variables on different psychological health subtypes of college freshmen from a university in Eastern China.

Results

There is obvious heterogeneity in the psychological health of college freshmen, which can be divided into three groups: psychological health group (69.54%), psychological distress group (24.65%), and psychological risk group (5.81%). The latent categories of psychological health among college freshmen differ by gender and family economic status. The psychological health status of female students is significantly better than that of male students. In addition, the lower the self-evaluation of family economic status of college freshmen, the lower their psychological health level.

Conclusion

Three categories of mental health exist for college freshmen, with significant group heterogeneity. Gender and family economic status significantly influenced mental health outcomes with female students faring better. The study's significance lies in providing useful recommendations for educational administrators and developing targeted interventions for college freshmen. Given the practical realities of mental health education efforts, personalized strategies that utilize peer support, counseling, and psychological services can be adopted to assist freshmen in acclimating to university life and maintaining mental wellness. The findings suggest considering the role of family economic status and gender in promoting mental health and the need for further research to develop comprehensive and effective interventions.

Vaccination as a Significant Factor Influencing the Psychoemotional State of Medical Students During the Sars-Cov-2 Pandemic: An International Aspect

Background

The rapid spread of SARS-COV-2, characterized by its severe course in the absence of effective specific treatment for this infection, may become a significant risk factor for psycho-emotional disorders' emergence during this pandemic. One of the vulnerable groups in the current situation are first-year medical students, whose problems associated with an unfavorable sanitary-epidemiological situation and an increased infection risk are compounded by the difficulties of adapting to specific professional environments. In this situation, along with strict adherence to nonspecific prevention methods, the mass student SARS-COV-2 vaccination acquires particular importance.

Objective

To compare the attitudes of first-year medical students in Russia and Azerbaijan toward SARS-COV-2 immunization and to assess the vaccination impact on the student's psycho-emotional state during the SARS-COV-2 pandemic.

Materials and Methods

The study involved 594 first-year students at the Moscow and Baku branches of Sechenov University. The Google Forms platform was used to conduct an anonymous sociological survey. To compare the psychoemotional state of vaccinated freshmen and non-vaccinated students, we used the State-Trait Anxiety Inventory, STAI, to assess reactive anxiety and the Beck Depression Inventory test - to diagnose depressive symptoms. The online survey was conducted during the fourth wave of coronavirus infection. WHO official sources were used to analyze the current epidemiological SARS-COV-2 situation during the study data provided by the Russian Federal Service on Customers' Rights Protection and Human Well-Being Surveillance and JHU CSSE. Statistical analysis was carried out using RStudio.

Results

The study results showed that vaccination coverage of first-year students at the Moscow branch of Sechenov University during the fourth wave of the SARS-COV-2 pandemic was 42,9±5,13%, at the Baku branch - 69,6±5,86%. The lack of reliable information about anticovid vaccines, indicated by a third of all respondents, may largely determine the motivated participation in the vaccination SARS-COV-2 campaign. The role of medical school in imparting knowledge about active SARS-COV-2 immunization to medical students was found to be insignificant. It was shown that the percentage of students willing to recommend SARS-COV-2 vaccination to the people around them and thereby contribute to increasing collective immunity level significantly depends on the percentage of students vaccinated. It was proved that vaccinated students were characterized by significantly greater psychological stability regardless of their study place.

Conclusion

Vaccination is not only a good preventive measure against the infection spread but also a significant factor in stabilizing the psycho-emotional state of first-year students, which significantly affects the quality of their educational process and its effectiveness.

The Role of Vaccination and Face Mask Wearing on COVID-19 Infection and Hospitalization: A Cross-Sectional Study of the MENA Region

Since the emergence of the Coronavirus disease (COVID-19) pandemic, the disease has affected more than 675 million people worldwide, including more than 6.87 million deaths. To mitigate the effects of this pandemic, many countries established control measures to contain its spread. Their riposte was based on a combination of pharmaceutical (vaccination) and non-pharmaceutical (such as facemask wearing, social distancing, and quarantine) measures. In this way, cross-sectional research was conducted in Algeria from 23 December 2021 to 12 March 2022 to investigate the effectiveness of preventative interventions in lowering COVID-19 infection and severity. More specifically, we investigated the link between mask-wearing and infection on one side, and the relationship between vaccination and the risk of hospitalization on the other. For this purpose, we used binary logistic regression modeling that allows learning the role of mask-wearing and vaccination in a heterogeneous society with respect to compliance with barrier measures. This study determined that wearing a mask is equally important for people of all ages. Further, findings revealed that the risk of infection was 0.79 times lower among those who were using masks (odds ratio (OR) = 0.79; confidence interval (CI) 95% = 0.668-0.936; p-value = 0.006). At the same time, vaccination is a necessary preventive measure as the risk of hospitalization increases with age. Compared with those who did not get vaccinated, those who got vaccinated were 0.429 times less likely to end up in the hospital (OR = 0.429; CI95% = 0.273-0.676; p < 0.0001). The model performance demonstrates significant relationships between the dependent and independent variables, with the absence of over-dispersion in both studied models, such as the Akaike Information Criterion (AIC) scores. These findings emphasize the significance of preventative measures and immunization in the battle against the COVID-19 pandemic.

A study on differences about the influencing factors of depressive symptoms between medical staff and residents during 2022 city-wide temporary static management period to fighting against COVID-19 pandemic in Shanghai

Objectives

Our study aimed to identify the latent class of depressive symptoms in the Shanghai population during the city-wide temporary static management period and compare differences in the factors influencing depressive symptoms between medical staff and residents.

Methods

An online cross-sectional survey was conducted with 840 participants using questionnaires, including Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Pittsburgh Sleep Quality Index (PSQI), and self-compiled questionnaire (demographic characteristics and internet usage time). Latent class analysis (LCA) was performed based on participants' depressive symptoms. The latent class subgroups were compared using the chi-square test and t-test. Logistic regression was used in our study to analyze the factors influencing depressive symptoms within the medical staff group and residents group and then compare their differences.

Results

Two distinct subgroups were identified based on the LCA: the group with low-depressive symptoms and the group with high-depressive symptoms. There were significant differences between the two groups (P < 0.05) on age, education level, marital status, internet usage time, identity characteristics (medical staff or residents), family income level, living style, overall quality of sleep, and anxiety levels. Furthermore, logistic regression analysis results showed that compared with the residents group, the participants in the group of medical staff with "increasing internet usage time" and the "daytime dysfunction" would have nearly two times the possibility of getting serious depressive symptoms.

Conclusions

There are differences in the factors influencing depression symptoms between medical staff and residents during the 2022 city-wide temporary static management period to fighting against the COVID-19 pandemic in Shanghai. We should pay special attention to those with increasing internet usage time and daytime dysfunction in medical staff working in a special environment such as the COVID-19 pandemic.

Psychometric properties of the traditional Chinese version of the COVID Stress Scales in Hong Kong

Introduction

The COVID Stress Scales (CSS) assess six domains of COVID-19-related stress, including (a) COVID danger, (b) COVID socioeconomic consequences, (c) COVID xenophobia, (d) COVID contamination, (e) COVID traumatic stress symptoms, and (f) COVID compulsive checking. Although the CSS have been validated in various cultural contexts, their psychometric properties in Hong Kong have not been examined. This study endeavors to validate the traditional Chinese version of the 36-item CSS (CSS-36) and the 18-item CSS (CSS-18) in Hong Kong.

Method

Participants were 521 Hong Kong undergraduate students (61% female) aged from 18 to 26 years (M = 20.65, SD = 1.56). An online questionnaire was used for data collection.

Results

The results of confirmatory factor analyses supported a six-factor structure for both the CSS-36 and the CSS-18. Multiple-group confirmatory factor analyses established the gender invariance of the six-factor model for both the CSS-36 and the CSS-18. The CSS-36 and the CSS-18 exhibited good internal consistency reliability and concurrent validity with fear of COVID-19 and negative emotional states.

Discussion

The findings offer evidence for the psychometric properties of the traditional Chinese version of the CSS-36 and the CSS-18 in the Hong Kong context.

Influencing factors of anxiety and depression of discharged COVID-19 patients in Wuhan, China

Objectives

This study is intended to assess the prevalence of depression and anxiety in individuals who had recovered from COVID-19 and been discharged from hospital (RD hereafter) in Wuhan, China, and to explore the factors associated with these mental disorders.

Methods

Participants of this study were the RD who were infected at the beginning of the outbreak from 13 communities in Jianghan District of Wuhan City, Hubei Province, China by convenience sampling in mid-2021. The Generalized Anxiety Disorder Questionnaire, the Patient Health Questionnaire, the Short Version of COVID-19 Stigma Scale, the Peace of Mind Scale, the Resilience Style Questionnaire, and the Perceived Social Support Questionnaire were used to collect relevant information of the participants. Descriptive analyses, Pearson correlation analysis, and logistic regression analysis were used to describe and analyze the data and to examine the factors associated with the mental health status of this population.

Results

In total, we recruited 1601 participants from 3059 COVID-19 patients, and 1541 participants completed the questionnaire survey, with a response rate of 96.25%. Finally, 1297 participants met the inclusion and exclusion criteria in this study, of whom 28.8% and 37.9% reported mild to severe levels of anxiety and depression symptoms. Perceived better mental health status during hospitalization, higher frequency of alcohol use per week, peace of mind, higher education level, and resilience were negatively associated with anxiety, while stigma and history of psychological or emotional counseling before infection was positively associated with anxiety. More severe clinical classification of COVID-19 and stigma (AOR = 1.057, P<0.001) were both positively associated with depression, while perceived better mental health status during hospitalization (AOR = 0.564, P<0.001), higher frequency of alcohol use per week (AOR = 0.462, P = 0.004), peace of mind (AOR = 0.857, P<0.001), and social support (AOR = 0.972, P = 0.034) were negatively associated with depression.

Conclusions

Tailored interventions on reducing stigma, enhancing mindfulness and social support should be taken into account to alleviate anxiety and depression among RD.

Logistic regression analysis for studying the impact of home quarantine on psychological health during COVID-19 in Saudi Arabia

During the Coronavirus disease (COVID-19) period, the world witnessed a complete closure of all aspects of social life, and people must go for home quarantine to limit the spread of Corona virus disease. This study aims to use multiple logistic regression model (MLR) to identify the impact of home quarantine on psychological stability of individuals and its relationship to various factors. Maximum likelihood is used to estimate the parameters of MLR. Hosmer-Lemeshow method and Wald statistic are calculated to assess the significance of MLR. Cross sectional study was carried out and MLR was fitted to the collected data. This study applied to 846 residents of Makkah region during the COVID-19 period. High percentage of respondents felt psychological stability during the period of home quarantine. Logistic regression model showed that education level and psychological disorders during home quarantine were the significant risk factors for psychological stability during COVID-19. In addition, the positive impact of the home quarantine that people became more attention to their health, more interested to self-development and the families become close to each other. On the other hand, people on private employee or unemployed had psychological disorders more than others due to home quarantine and decrease their income.

The impact of the COVID-19 pandemic on the mental health and academic performance of medical postgraduates

Background

The Coronavirus disease 2019 (COVID-19) has presented a major challenge to the health, economic, and social sectors of the entire world. This study aimed to investigate the mental health and academic performance of medical postgraduates during the COVID-19 pandemic in China.

Methods

A cross-sectional online survey was conducted from March 20 to April 20, 2022 at the Zhejiang University School of Medicine in China. The questionnaire consisted of three parts: general information, mental health and academic performance. Mental health outcomes were assessed according to the Generalized Anxiety Scale (GAD-7) and the Patient Health Questionnaire-9 Scale (PHQ-9).

Results

A total of 153 valid questionnaires were obtained. Of the medical postgraduates in this study, (1) 41.8% had no anxiety symptoms. In addition, 51.0% had mild anxiety symptoms during the COVID-19 pandemic. None of the participants had a severe anxiety or depression disorder; (2) Females experienced significantly more symptoms in mental health measure scores than the males (P < 0.01); (3) 78.4% believed that the COVID-19 pandemic had varying degrees of impact on their academics. Doctoral postgraduates showed greater academic stress, and they were more worried about not meeting graduation standards than the master's postgraduates (P < 0.05). There were no significant differences between the surgical postgraduates and internal postgraduates in either mental health or academic performance.

Conclusions

Our study found that the COVID-19 pandemic has had a mild impact on the mental health and academic performance of medical postgraduates in China. Females experienced significantly more symptoms on mental health measure scores than the males. Doctoral postgraduates showed greater academic stress than the master's postgraduates. There is uncertainty regarding how long this COVID-19 situation will persist and increasing recognition that there may be periods of recurrence in the future. We need more active curricular innovation and transformation to maintain and improve medical postgraduates' mental health and academic performance.

Meta-analysis of the prevalence of anxiety and depression among frontline healthcare workers during the COVID-19 pandemic

Objective

To systematically review the prevalence of anxiety and depression among frontline healthcare workers during the coronavirus disease 2019 (COVID-19) pandemic.

Methods

Computers were used to search CNKI, VIP, WanFang Data, PubMed, and other Chinese and English databases. The search period was limited to December 2019 to April 2022. Cross-sectional studies collected data on the prevalence of anxiety and depression among frontline healthcare workers since the onset of COVID-19. The STATA 15.1 software was used for the meta-analysis of the included literature.

Results

A total of 30 studies were included, with a sample size of 18,382 people. The meta-analysis results showed that during the COVID-19 pandemic, the total prevalence of anxiety among frontline healthcare workers was 43.00%, with a 95% confidence interval (CI) of 0.36-0.50, and the total prevalence of depression was 45.00%, with a 95% CI of 0.37-0.52. The results of the subgroup analysis showed that prevalence of anxiety and depression in women, married individuals, those with children, and nurses was relatively high. Frontline healthcare workers with a bachelor's degree or lower had a higher prevalence of anxiety. The prevalence of depression was higher among frontline healthcare workers with intermediate or higher professional titles.

Conclusion

During the COVID-19 pandemic, the prevalence of anxiety and depression among frontline healthcare workers was high. In the context of public health emergencies, the mental health status of frontline healthcare workers should be given full attention, screening should be actively carried out, and targeted measures should be taken to reduce the risk of COVID-19 infection among frontline healthcare workers.

Systematic review registration

http://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022344706.

Use of latent profile analysis and k-means clustering to identify student anxiety profiles

BACKGROUND

Anxiety disorders are often the first presentation of psychopathology in youth and are considered the most common psychiatric disorders in children and adolescents. This study aimed to identify distinct student anxiety profiles to develop targeted interventions.

METHODS

A cross-sectional study was conducted with 9738 students in Yingshan County. Background characteristics were collected and Mental Health Test (MHT) were completed. Latent profile analysis (LPA) was applied to define student anxiety profiles, and then the analysis was repeated using k-means clustering.

RESULTS

LPA yielded 3 profiles: the low-risk, mild-risk and high-risk groups, which comprised 29.5, 38.1 and 32.4% of the sample, respectively. Repeating the analysis using k-means clustering resulted in similar groupings. Most students in a particular k-means cluster were primarily in a single LPA-derived student profile. The multinomial ordinal logistic regression results showed that the high-risk group was more likely to be female, junior, and introverted, to live in a town, to have lower or average academic performance, to have heavy or average academic pressure, and to be in schools that have never or occasionally have organized mental health education activities.

CONCLUSIONS

The findings suggest that students with anxiety symptoms may be categorized into distinct profiles that are amenable to varying strategies for coordinated interventions.