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  1. Razlan Musa, Lin Naing, Zulkifli Ahmad, Rusli Nordin
    MyJurnal
    The relationship between dust exposure and lung function were investigated in a cross-sectional study of 70 male quarry workers. The investigation included spirometric testing and detailed personal interviews using a structured questionnaire adapted from British Medical Research Council questionnaire on respiratory symptoms. Respiratory symptoms commonly reported by the male workers were shortness of breath (42.9%), chest tightness (37.1 %}, morning phlegm (20.0%) and morning cough (0.8%}. Prevalence of respiratory symptoms was greater in current smokers. Age and duration of employment also had significant relationship with chest tightness. Both FEV, and FVC of these workers were significantly reduced when compared to healthy population. Smoking status, age, and duration of employment were also associated with reduced pulmonary function (p<0.01).
    Key words: respiratory symptoms, lung function and quarry workers
  2. Koh D, Abdullah AM, Wang P, Lin N, Luo N
    PLoS One, 2016;11(11):e0165555.
    PMID: 27835652 DOI: 10.1371/journal.pone.0165555
    BACKGROUND: The Malay spoken in Brunei a South East Asian country where Malay is the national language is distinctive and different from Malay spoken in Malaysia, Singapore and Indonesia. This study aimed to develop a Brunei Malay version of the 5-level EQ-5D questionnaire (EQ-5D-5L) and to assess its psychometric properties among patients with type 2 diabetes mellitus (T2DM).

    METHODS: The Brunei Malay EQ-5D-5L was developed by culturally adapting two existing Malay versions. A total of 154 Bruneians with T2DM completed the questionnaire in two different points of time with one week apart. Known-groups validity of the utility-based EQ-5D-5L index and visual analogue scale (EQ-VAS) was evaluated by comparing subgroups of patients known to differ in health status. Test-retest reliability was assessed using the intraclass correlation coefficient (ICC) or Cohen's kappa.

    RESULTS: As hypothesized, patients known to have 'better' health had higher EQ-5D-5L index scores than those having 'worse' health in all 7 known-groups comparisons. The hypothesized difference in the EQ-VAS scores was observed in only 4 of the 7 known-groups comparisons. Kappa values ranged from 0.206 to 0.446 for the EQ-5D-5L items; the ICC value for the EQ-5D-5L index and EQ-VAS was 0.626 and 0.521, respectively.

    CONCLUSIONS: The utility-based EQ-5D-5L index appears to be valid and reliable for measuring the health of Brunei patients with T2DM. The validity of the EQ-VAS in Brunei requires further investigation.

  3. Bani-Issa W, Radwan H, Saqan R, Hijazi H, Fakhry R, Alameddine M, et al.
    J Sleep Res, 2023 Feb;32(1):e13666.
    PMID: 35670277 DOI: 10.1111/jsr.13666
    The COVID-19 pandemic had a major impact on people of all ages. Adolescents' exposure to online learning is linked to excessive screen time on digital devices, which leads to poor sleep quality. This study aimed to investigate the association between screen time on different electronic devices and sleep quality among adolescents in the United Arab Emirates. This study was based on a self-reported questionnaire, which was administered online to school-aged adolescents (aged 12-19 years). The multicomponent questionnaire collected information on sociodemographic characteristics, sleep quality using the Pittsburgh Sleep Quality Index (PSQI), and screen time (minutes) on TV, TV-connected devices, laptops, smartphones, and tablets on weekdays, weeknight, and weekends using the Screen Time Questionnaire (STQ). Univariate and multivariate analyses were used to identify factors correlated with poor sleep quality. A total of 1720 adolescents were recruited from private and public schools (mean age 14.6 ± 1.97 years). The mean PSQI score was 8.09 ± 3.37, and 74.3% of participants reported poor sleep (cutoff score >5). Mean scores were highest for the sleep latency (1.85 ± 0.97) and sleep disturbance (1.56 ± 0.62) domains. The highest STQ score was observed for smartphones, with a median screen time of 420 min on weekdays and 300 min on weekends. Screen time related to smartphones on weekends (p = 0.003) and increased screen time in bed (p 
  4. Annuar BR, Liew CK, Chin SP, Ong TK, Seyfarth MT, Chan WL, et al.
    Eur J Radiol, 2008 Jan;65(1):112-9.
    PMID: 17466480
    To compare the assessment of global and regional left ventricular (LV) function using 64-slice multislice computed tomography (MSCT), 2D echocardiography (2DE) and cardiac magnetic resonance (CMR).
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