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  1. Dash S, Kamath MG, Sharma K, Lee WH, Ponusamy T, Pathmaseelan K, et al.
    MyJurnal
    Introduction: Sleep deprivation is a concern in young adults and the use of mobile phone is very common in this population. This study aimed to measure and correlate the sleep quality, pattern of sleep and problematic mobile phone use in young medical students. Methods: A cross-sectional study was conducted using the Pittsburgh Sleep Quality Index (PSQI), Problematic Mobile Phone Use Scale (PMPUS) and Morningness-Eveningness Questionnaire (MEQ) among medical students in a Malaysian medical college. Correlation among the variables was done using bi-variate analysis followed by Pearson correlation coefficient and 2-tailed significance. A level for p  0.05 was con- sidered as statistically significant. Results: We found significant positive correlation between poor sleep quality and total problematic mobile phone use as well as its sub dimensions, namely deprivation, adverse outcomes and control disorder. PSQI score showed significant negative correlation with different patterns of MEQ like moderate evening, late sleepers, moderate morning and early risers. Positive correlation of the PSQI with sub dimension of PMPUS re- flects unhealthy dependency on mobile phone in this population. Conclusion: Our study revealed that the unhealthy use of mobile phone adversely affected sleep quality in the cohort of young medical students. It is thus important for medical schools to formulate policies and create educational programs vis-a-vis sleep health and to increase aware- ness regarding controlled mobile phone usage.
    Study site: Indian campus of a Malaysian-Indian University
  2. Chee KY, Ong KY, Mak CY, Yacob S, Yeo SC, Thrichelam N, et al.
    Asia Pac Psychiatry, 2017 Dec;9(4).
    PMID: 28326670 DOI: 10.1111/appy.12278
    INTRODUCTION: The objective of this study was to establish the psychometric properties of the AD8 Dementia Screening Interview in patients with Parkinson disease (PD) with or without cognitive impairment using the Montreal Cognitive Assessment Tool (MoCA) for comparison.

    METHODS: The AD8 was translated into Malay for Malay-speaking participants. A correlation analysis and a receiver operator characteristic curve were generated to establish the psychometric properties of the AD8 in relation to the MoCA.

    RESULTS: One hundred fifty patients and their caretakers completed the AD8 and MoCA. Using a cutoff score of 1/8, the AD8 had 81% sensitivity and 59% specificity for the detection of cognitive impairment in PD. With a cutoff score of 2/8, the AD8 had 83% specificity and 64% sensitivity. The area under the receiver operator characteristic curve was 80%, indicating good-to-excellent discriminative ability.

    DISCUSSION: These findings suggest that the AD8 can reliably differentiate between cognitively impaired and cognitively normal patients with PD and is a useful caregiver screening tool for PD.

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