MATERIALS AND METHODS: A total of 480 students from different faculties in a Malaysian public university participated in this study. They were selected by simple random sampling method. They completed self-administered questionnaires including the Malay Version of Internet Addiction Test (MVIAT)) to measure internet addiction and Adult Self-Report Scale (ASRS) Symptom Checklist, Depression Anxiety Stress Scales (DASS) and UCLA Loneliness Scale (Version 3) to assess for ADHD symptoms, depression, anxiety, stress, and loneliness respectively.
RESULTS: The prevalence of IA among university students was 33.33% (n = 160). The respondents' mean age was 21.01 ± 1.29 years old and they were predominantly females (73.1%) and Malays (59.4%). Binary logistic regression showed that gender (p = 0.002; OR = 0.463, CI = 0.284-0.754), ADHD inattention (p = 0.003; OR = 2.063, CI = 1.273-3.345), ADHD hyperactivity (p<0.0001; OR = 2.427, CI = 1.495-3.939), stress (p = 0.048; OR = 1.795, CI = 1.004-3.210) and loneliness (p = 0.022; OR = 1.741, CI = 1.084-2.794) were significantly associated with IA.
CONCLUSION: A third of university students had IA. In addition, we found that those who were at risk of IA were males, with ADHD symptoms of inattention and hyperactivity, who reported stress and loneliness. Preventive strategy to curb internet addiction and its negative sequelae may consider these factors in its development and implementation.
METHODS: A total of 316 participants were administered a self-report questionnaire that collected data on sociodemographic attributes, personal characteristics, COVID-19-related stressors, religious coping, and clinical characteristics. In addition, the Multidimensional Scale of Perceived Social Support (MSPSS) and the 21-item Depression, Anxiety and Stress Scale (DASS-21) were administered.
RESULTS: Regarding depression, 15.5%, 11.7%, and 9.2% of the participants reported mild, moderate, and severe to extremely severe depression, respectively. For anxiety, 7.0%, 16.5%, and 13.2% of the respondents had mild, moderate, and severe to extremely severe anxiety, respectively. Moreover, 26.3% of participants had mild stress, 9.5% had moderate stress, and 6.6% had severe to extremely severe stress. The multiple linear regression model revealed that frustration because of loss of daily routine and study disruption and having preexisting medical, depressive, and anxiety disorders were associated with elevated depressive symptoms, while a greater degree of family and friends social support was associated with less depressive symptoms after adjusting for age, gender, and marital status. It was also found that frustration because of study disruption and having preexisting medical, depressive, and anxiety disorders were associated with elevated anxiety symptoms, while being enrolled in medicine-based courses and having a greater degree of family support were factors associated with less anxiety symptoms after adjusting for age, gender, and marital status.
CONCLUSION: There is a need to conduct a longitudinal study in the future to confirm the causal relationship between the significant predictive factors and depression and anxiety identified in this study, and maintenance of a persistent flow of academic activities and social interaction may be of utmost importance to safeguard the mental wellbeing of university students.
METHOD: This case report highlights the use of an integrated approach based on "Management of Really Sick Patients with Anorexia Nervosa" report in managing a case of extreme anorexia nervosa where a SEDU is unavailable.
RESULT: In this case, early psychiatric team support is key in the patient's path to recovery.
PRACTICE IMPLICATION: This highlights the importance of having a SEDU and staff trained in eating disorder.
DESIGN AND METHODS: Participants were randomly selected using multi-stage sampling methods from three public universities in the study location. Participants completed measures of internet and smartphone addictions, depression, anxiety, stress, and suicidality, along with sociodemographic items.
FINDINGS: At bivariate level, both internet and smartphone addictions were found to have significant positive correlations with depression, anxiety, stress, and suicidality. At multivariate level, only internet addiction emerged as a consistent significant predictor for depression, anxiety, stress, and suicidality.
PRACTICE IMPLICATIONS: The present findings have implications for mental health professionals to routinely screen for psychological disturbance in young adults who have potential risks for internet addiction.
AIMS: This study aimed to determine the prevalence of mild cognitive impairment (MCI) using the Montreal Cognitive Assessment (MoCA) and its associated factors among patients diagnosed with SLE in Malaysia.
METHODS: A total of 200 SLE patients were recruited prospectively from the outpatient clinics of two tertiary hospitals in Malaysia. Standardized clinical interview was utilized to obtain information on socio-demographic characteristics. All patients were then assessed using the MoCA questionnaire for presence of cognitive impairment; the Patient Health Questionnaire 9 (PHQ-9) for presence of depressive symptoms; and the Wong-Baker Faces Pain Scale (WBFPS) for severity of pain. The evaluation of disease activity and severity were performed by the treating rheumatologists and nephrologists using the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) and Systemic Lupus International Collaborating Clinics Damage Index (SLICC DI).
RESULTS: The prevalence of MCI was 35%. The significant associated factors from the bivariate analysis were male gender (p = 0.04), educational level (p = 0.00), WBFPS score (p = 0.035) and anticardiolipin IgM (p = 0.01). Further analysis using logistic regression model found that male gender (OR = 7.43, 95% confidence interval 1.06-52.06, p = 0.04), lower educational level (OR = 4.4, 95% confidence interval 1.47-13.21, p = 0.01) and presence of anticardiolipin IgM (OR = 6.81, 95% confidence interval 1.45-32.01, p = 0.031) were associated with impaired MoCA scores. Also, increasing pain scores increased the risk of patients being affected by cognitive impairment.
CONCLUSION: Over one-third of patients with SLE in our cohort were found to have MCI. Risk factors included male gender, lower educational level, higher pain score and presence of anticardiolipin IgM. Physicians are encouraged to perform routine screening to detect cognitive dysfunction in patients with SLE in their clinical practice as part of a more comprehensive management.