This cross-sectional study investigated the impact of life satisfaction and happiness, as well as the prevalence and correlates of depressive symptoms in a large sample of university students. We included 2338 students at 6 universities in 1 metropolitan city and 2 provinces of Korea. Depressive symptoms were assessed by the Beck Depression Inventory, and scores of 16 or higher were categorized as the presence of depression. Various sociodemographic, life satisfaction, happiness, and clinical factors (alcohol consumption and sleep quality) were measured. According to the presence of depression, sociodemographic, life satisfaction, happiness, and clinical characteristics were compared using statistical analyses. Further, a logistic regression model was constructed to examine the impact of life satisfaction, happiness, and clinical factors on depression. Among participants, 13.4% were identified as having depression. Life satisfaction and happiness were associated with a lower risk of depression, while hazardous alcohol drinking and poor sleep quality were related to a higher risk of depression. In addition, female gender, subjective body shape as obese, and insufficient pocket money were found to be significant correlates of depressive symptoms. This study demonstrated possible risk and protective factors of underlying depressive symptoms. Especially, our findings suggest that improvement in life satisfaction and happiness would be important in the prevention and management of depression. Our findings may contribute to developing specialized mental health programs for prevention, screening, and treatment of depression among university students.

Background/Aims: Disease-modifying therapy for Alzheimer’s disease (AD) has led to a need for biomarkers to identify prodromal AD and very early stage of AD dementia. We aimed to identify the cutoff values of cerebrospinal fluid (CSF) biomarkers for detecting prodromal AD. Methods: We assessed 56 patients with amnestic mild cognitive impairment (aMCI) who underwent lumbar puncture. Additionally, 87 healthy elderly individuals and 34 patients with AD dementia served as controls. Positron emission tomography was performed using florbetaben as a probe. We analyzed the concentration of Aβ_1–42, total tau protein (t-Tau), and tau protein phosphorylated at threonine 181 (p-Tau¹⁸¹) in CSF with INNOTEST enzyme-linked immunosorbent assay. Results: For the detection of prodromal AD in patients with aMCI, the cutoff values of CSF Aβ_1–42, t-Tau, and p-Tau¹⁸¹ were 749.5 pg/mL, 225.6 pg/mL, and 43.5 pg/mL, respectively. To discriminate prodromal AD in patients with aMCI, the t-Tau/Aβ_1–42 and ­p-Tau¹⁸¹/Aβ_1–42 ratios defined cutoff values at 0.298 and 0.059, respectively. Conclusions: CSF biomarkers are very useful tools for the differential diagnosis of prodromal AD in aMCI patients. The concentration of CSF biomarkers is well correlated with the stages of the AD spectrum.

Background: Little is known about the role of protective factors in suicidal ideation among medical students. This study aimed to examine the association between suicidal ideation and protective (self-esteem/ego-resiliency/social support) and risk (depression/social anxiety) factors.Methods: Data on sociodemographic factors, depression, social anxiety, self-esteem, ego-resiliency, social support, and current suicidal ideation were collected from 408 medical students. A logistic regression model was constructed to identify the independent impact of potential influencing factors on suicidal ideation. Potential moderating effects were also explored.Results: Thirty-eight participants (9.3%) reported experiencing suicidal ideation. Younger age, higher levels of depression, social anxiety, and lower levels of self-esteem, ego-resiliency, and social support were found to be significantly correlated with suicidal ideation. In the final model, higher levels of depression and social anxiety were associated with an increased risk of suicidal ideation, while higher levels of self-esteem and social support were associated with a decreased risk of suicidal ideation. Although the independent effect was not significant, the interactions of ego-resiliency with both depression and social anxiety on suicidal ideation were significant. Higher levels of ego-resiliency acted as a buffer against suicidal ideation among those with higher levels of depression or social anxiety.Conclusions: In addition to risk factors, this study revealed the underlying protective and moderating factors of suicidal ideation among medical students. Mental health programs focusing on enhancing ego-resiliency, self-esteem, and social support may contribute to suicide prevention in medical students.

Objective This study investigated the influence of psychosocial factors on medical students’ quality of life (QOL).Methods A total of 408 medical students participated in this study. We collected data on participants’ sociodemographic details, symptoms of depression and Internet addiction, self-esteem, social support, and QOL. QOL was assessed using the World Health Organization Quality of Life-Abbreviated form, which has four domains (physical health, psychological health, social relationships, and environment). A stepwise multiple linear regression model was constructed to identify factors’ independent impact on QOL.Results Higher levels of depression and Internet addiction were associated with lower scores in all domains of QOL, whereas higher levels of self-esteem and social support were associated with higher scores. Being in third-year versus first-year was associated with higher scores in the physical health and environment domains. Living alone or in dormitories, low or middle socioeconomic status, and insufficient or moderate pocket money were associated with lower scores in the environment domain. Additionally, female students displayed significantly lower scores for physical health, psychological health, and environment than male students, but not for social relationships. There were significant differences in certain domains of QOL due to sociodemographic factors.Conclusion This study demonstrates the psychosocial factors influencing medical students’ QOL. Educational strategies focusing on strengthening self-esteem and social support as well as preventing depression and Internet addiction may contribute to improving medical students’ QOL.

Purpose: Relatively little attention has been paid to the meaning of reversion from mild cognitive impairment (MCI) to cognitively normal (CN), compared to MCI progression studies. The purpose of the study was to investigate the characteristics contributing to reversion from MCI to CN and to identify the associated factors with such reversion. Patients and methods: We retrospectively identified 200 individuals who initially diagnosed as MCI and completed the second visit from the National Research Center for Dementia (NRCD) registry in Korea. Participants underwent comprehensive clinical and neuropsychological assessments. Factors associated with reversion were examined by a independent-samples t-test, χ² test, and logistic regression. Longitudinal change was examined by a repeated measures analysis of variance (rANOVA). Results: Based on the second assessment, 78 (39%) individuals were found to have reverted to CN (rMCI) and 118 (59%) remained with MCI (sMCI). Four (2%) progressed to Alzheimer’s disease dementia and they were excluded from further analysis. Over a wide range of socio-demographic, clinical, and neuropsychological variables, group difference was significant only in neuropsychological tests of cognitive control. Both groups showed improvement in several neuropsychological tests, implying a practice effect, but the rMCI group showed greater improvement. Conclusion: Reversion from MCI to CN might not be a false-positive error but a true recovery from cognitive impairment. Our results suggest that cognitive control ability may be a characteristic favorable for the restoration of cognitive function. Therefore, assessment of cognitive control might facilitate the development of appropriate interventions for MCI as well as prognosis evaluation.

This study aimed to investigate the influence of apolipoprotein E (APOE) ε4 allele on whole-brain functional networks in cognitively normal (CN) elderly by applying graph theoretical analysis to brain glucose metabolism. Eighty-six CN elderly [28 APOE ε4 carriers (ε4+) and 58 non-carriers (ε4-)] underwent clinical evaluation and resting [¹⁸F] fluorodeoxyglucose positron emission tomography scan. Whole-brain functional networks were constructed from correlations of the 90 regions of interest using the automated anatomical labeling template, and analyzed using graph theoretical approaches. The overall small-world property seen in ε4- was preserved in ε4+. However, both local clustering and path length were lower in ε4+ compared to ε4-. In terms of the hubs of functional networks, ε4+ showed decreased centrality of the right hippocampus but increased centrality of several brain regions associated with the default mode network compared to ε4-. Our results indicate that genetic vulnerability to Alzheimer’s disease may alter whole-brain functional networks even before clinical symptoms appear.