Characteristics of university students supported by counseling services: Analysis of psychological tests and pulse rate variability

Objective: Mental health is an essential issue during adolescence. The number of students who use counseling services is increasing in universities. We attempted to confirm the characteristics of the students who access counseling services using both psychological tests and pulse rate variability (PRV) for better support for students’ academic success. Methods: We recruited the participants for this study from the students who had counseling sessions at Kanazawa University (Group S). As a control group, we also recruited students who had no experience in counseling services (Group H). We obtained health information from the database of annual health checkups. Participants received the Wechsler Adult Intelligence Scale (WAIS)-III, Autism-Spectrum Quotient (AQ), Sukemune-Hiew (S-H) Resilience Test, and State-Trait Anxiety Inventory-JYZ (STAI). We also studied the 12-Item Short-Form Health Survey (SF-12v2) for testing Health-Related Quality of Life (HRQOL). As a physiological test, we examined the spectral analyses of pulse rate variability (PRV) by accelerating plethysmography. We performed a linear analysis of PRV for low-frequency power (LF: 0.02–0.15 Hz) and high-frequency power (HF: 0.15–0.50 Hz). We also conducted a non-linear analysis of PRV for the largest Lyapunov exponent (LLE). Additionally, we examined participants’ blood for autoantibodies against glutamate decarboxylase (GAD) 65. Results: A total of 105 students participated in this study. Group S had 37 participants (Male: 26, Female: 11), and Group H had 68 participants (Male: 27, Female 41). There were five males and one female in Group S who had diagnoses of autism spectrum disorder (ASD), and three males in Group S were diagnosed with attention deficit hyperactivity disorder (ADHD) by medical institutes. Additionally, four males and two females in Group S had diagnoses of ASD with ADHD by medical institutes. A male with ASD in Group S had epilepsy. The students of Group S had characteristics as follows: 1) lower power of Working Memory Index (WMI) despite high Full-Scale Intelligent Quotient (FSIQ), 2) higher ASD traits especially in Male, 3) lower resilience powers, 4) higher anxiety trait, 5) lower Health-Related Quality of Life (HRQOL) in Role/social component in both Male and Female, 6) lower HRQOL in Mental component in Male 7) shifting of autonomic nervous balance toward higher sympathetic activity. Conclusion: We could confirm the characteristics of students who visited counseling rooms for mental support (Group S). We also found gender differences in specificities of Group S. The educational system is changing rapidly to adjust social requests. These changes make conflict with the features of students of Group S. We should think about appropriate supports for the students who would pioneer the future of humanity.