In the transition period from high school to college, freshmen have to deal with the new environment, which makes them vulnerable to experience symptoms of mental disorders. The aim of the current study was to examine the role of loneliness as a predictor of symptoms of mental disorders among freshmen. Using a convenience sampling, 151 first-year undergraduate students from one faculty at Universitas Padjadjaran took part in the current study. The respondents completed a self-report questionnaire consisting of WHO Self-Report Questionnaire (SRQ) to assess symptoms of mental disorders and UCLA Loneliness scale to assess loneliness. The result showed that loneliness significantly predicted symptoms of mental disorders among freshmen. Theoretical implications of these empirical findings are discussed, as are practical implications highlighting the suggestions for the university stakeholders to implement an intervention that is effective in tackling freshmen's mental disorders such as social skill training, increasing social support, and increasing probability of social contact.

The prevalence of mental disorders experienced by the global community, including in Indonesia, is increasing steadily. It is thus necessary to have a time-efficient and valid screening measuring tool as a basis to provide appropriate treatment to mental disorders. The Self-Report Questionnaire-20 (SRQ-20) is a screening tool that is often used in Indonesia to identify mental disorder symptoms. However there is limited study that has attempted to discover the SRQ-20 factors and conducted a construct validity test on them. The purpose of this study was to investigate factors and test the construct validity of SRQ-20 developed by the World Health Organization (WHO). There were 674 students involved in the study. Exploratory factor analysis was used to discover the factors. Evidence based on internal structure using a confirmatory factor analysis was also collected. Findings revealed five factors for the SRQ-20, these are energy, cognitive, depression, physiological, and anxiety. The five factor model is an alternative for classifying symptoms on the SRQ-20. This way, symptoms on the SRQ-20 can be grouped into five factors, of which can assist clinicians take more appropriate and faster action. Findings also revealed, however, that the construct validity of the five factor model needs is less than the one factor model. Therefore, for further research, using a wider population to check the stability of structure across developmental age. SRQ-20 could also be compared with the gold standard measurement to get a predictive validity.

First-year university students are vulnerable to certain psychological disorders. Psychological Well-Being (PWB) is one of the resources they can use to face academic challenges. However, research focusing to identify PWB as protective factor among first-year university students is still rare. This study employs quantitative method involving 151 respondents from the Faculty of Psychology of University X in West Java. It uses a PWB scale composed by Ryff and Self Report Questionnaire (SRQ-20). It also employs simple multiple regression to determine the relation between PWB and symptoms of psychological disorders, on one hand, and stepwise multiple regression to find out which dimensions of PWB are significant to anticipate psychological disorder, on the other. This study argues that PWB, especially self-acceptance and environment mastery dimension, can be used as a protective factor against psychological disorders. Keywords: first-year university students, psychological disorders, psychological well-being

Loneliness leads to several health risks, especially among university students who are prone to experience it. In order to cope with loneliness, university students need functional psychological resources, which can be measured by six-dimensional of psychological well-being (PWB) by Ryff. Thus, this study aims to predict university students’ loneliness using the multidimensional PWB. Loneliness was measured using Revised UCLA Loneliness Scale and PWB was measured using Ryff’s multi-dimensional PWB. A total number of 376 undergradute students in Faculty of Psychology Universitas Padjadjaran Indonesia were participated in this study. The test of correlation using Pearson’s r resulted all dimensions were negatively correlated. Stepwise regression analysis resulted that positive relationship, self-acceptance, environmental mastery, and autonomy were the significant predictors, predicted 74.7% of the variance, of loneliness among participants. These findings indicate that dimensions mentioned can be used as predictors of university students’ loneliness.Keywords: Loneliness, psychological well-being, university students Abstrak: Kesepian dapat memicu berbagai risiko kesehatan, terutama bagi mahasiswa yang rentan mengalaminya. Untuk menghadapi kesepian, mahasiswa memerlukan keberfungsian psikologis yang dapat ditandai oleh tingkat psychological well-being (PWB) oleh Ryff. Maka dari itu, penelitian ini bertujuan untuk memprediksi tingkat kesepian dengan menggunakan PWB multidimensional. Tingkat kesepian diukur dengan kuesioner Revised UCLA Loneliness Scale, sementara tingkat PWB diukur dengan kuesioner PWB multidimensional dari Ryff. Sebanyak 376 mahasiswa tingkat sarjana Fakultas Psikologi Universitas Padjadjaran Indonesia berpartisipasi. Uji korelasi (r) Pearson menunjukkan semua dimensi PWB berkorelasi negatif dengan kesepian. Analisis regresi stepwise menunjukkan prediktor terkuat adalah dimensi relasi positif, penerimaan diri, penguasaan lingkungan, dan otonomi, memprediksi 74,7% varians tingkat kesepian. Hasil ini mengindikasikan bahwa keempat dimensi tersebut dapat digunakan sebagai prediktor tingkat kesepian pada mahasiswa.

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