The internet is an essential part of our daily lives. Studies have reported various impacts of internet addiction on humans, including anxiety, stress and depression. The current study explores the prevalence of internet addiction and its relationship with psychological distress among medical students in Malaysian public university. The current cross-sectional study was performed among second- to fifth-year Universiti Sains Malaysia (USM) medical students in the late 2019. The Internet Addiction Test (IAT) and the Depression, Anxiety and Stress Scale (DASS-21) were used to gather data. The data collected were analysed using the Statistical Package for the Social Sciences (SPSS) version 24.0. A Spearman correlation test and simple linear regression were used for the data analysis. A total of 386 medical students (96.5% response rate) participated in this study. Data analysis found that the prevalence of internet addiction among USM medical students was 6.7%. The results indicated a significant positive relationship between internet addiction and psychological distress. Extensive use of the internet was found to be associated with elevated levels of depression, stress and anxiety. Findings regarding the effects of internet addiction are similar to those in other studies conducted among Malaysian medical students. This study has provided essential insights into the relationship between internet addiction and psychological distress among medical students. Further investigation should be undertaken to explore other possibly addicted groups. Higher education providers should be aware of these internet addiction issues among their students and interventions should be introduced to tackle this problem.
Dyslexia is a reading disorder defined as the consequences of sensory impairment which can be quite tricky in diagnosis, as many symptoms of dyslexia tend to overlap with learning disabilities such as specific language Impairment (SLI), dysgraphia, dyscalculia, and a few others. However, as research keeps on progressing, a consensus has been made suggesting that dyslexia is commonly attributed to the impairment of auditory and visual perception. This review paper intends to discuss the detailed progression of research focusing on auditory and visual perception among dyslexics.
Background Research on audiovisual post-attentive integration has been carried out using a variety of experimental paradigms and experimental groups but not yet studied in dyslexia. We investigated post-attentive integration and topographic voltage distribution in children with dyslexia by analysing the P300 event-related potential (ERP) component. Methods We used a 128-child ERP net for the ERP experiment. Two types of stimuli were presented as either congruent or incongruent stimuli. Congruent stimuli included a matching auditory sound with an animal image, whereas incongruent stimuli included unmatched animal sounds. A total of 24 age-matched children were recruited in the control ( n = 12) and dyslexia ( n = 12) groups. Children pressed button ‘1’ or ‘2’ when presented with congruent or incongruent stimuli, respectively. The P300 amplitudes and latencies with topographic voltage distribution were analysed for both groups. Results The dyslexia group evoked significantly higher P300 amplitudes at the T4 area than the control group. No significant differences were found in cases of P300 latency. Moreover, the dyslexia group demonstrated a higher intensity of P300 voltage distribution in the right parietal and left occipital areas than the control group. Conclusion Post-attentive integration for children with dyslexia is higher and that this integration process implicated the parietal and occipital areas.
There has been an increasing interest in personality study over the years. This has led to the necessity for personality measures with good psychometric properties. However, good personality measures are usually too cumbersome to apply in real practical settings due to their length. This study aims to validate a commonly used short personality measure of the Big Five model, i.e., Mini-IPIP (Mini International Personality Item Pool), which has never been validated and used in the substance abuse population in the local setting. The participants were 239 individuals attending one of the six methadone clinics in Malaysia. Structural analysis was conducted using confirmatory factor analysis. Results showed a good model fit for Mini-IPIP when item-parcelling and adding-in correlated uniqueness items were applied (fit indices: Comparative Fit Index = 0.949, Standardised Root Mean Residual = 0.044). Our study supported the five-factor solution for the Mini-IPIP. It is valid and reliable to be used among individuals with drug abuse in Malaysia.
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