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  1. Suain Bon R, Ariaratnam S, Mat Saher Z, Mohamad M, Lee FS
    Front Psychiatry, 2021;12:669725.
    PMID: 34744807 DOI: 10.3389/fpsyt.2021.669725
    Cognitive impairment is not only common but may also act as a precursor for dementia. Moreover, diabetes mellitus has been shown to promote the progression of dementia. This study aims to determine the prevalence of cognitive impairment and its associated risk factors among the elderly patients having type 2 diabetes mellitus (T2DM) in Hospital Kuala Lumpur, Malaysia. This is a cross-sectional study involving 113 participants who were attending the physician clinic. The participants were selected using the universal sampling method. The tools included a sociodemographic questionnaire, the Montreal Cognitive Assessment, the Depression Anxiety Stress Scale, and the Mini-International Neuropsychiatry Interview. Descriptive analysis was performed and followed by multiple logistic regression. The prevalence of cognitive impairment, depressive disorder, and anxiety disorder was 46.9, 10.6, and 2.7%, respectively. Indians (aOR = 4.90, 95% CI = 1.57-15.27) as well as participants who had completed their secondary (aOR = 0.34; 95% CI = 0.12-0.96) and tertiary (aOR = 0.05; 95% CI = 0.01-0.26) levels of education were significantly associated with cognitive impairment. The prevalence of cognitive impairment was high as well as significantly associated with the ethnicity and education levels of the elderly participants. Indeed both secondary and tertiary education decreased the odds ratio of developing cognitive impairment when compared with no formal and primary education. To determine and reduce the potential risk factors which contribute to cognitive impairment, an early diagnosis of T2DM is crucial. The early detection and treatment of T2DM as well as its associated risk factors are key factors in protecting against cognitive impairment.
  2. Mahmud AA, Mohamad Rom FZ, Suain Bon R, Miskan M, Haque M
    Cureus, 2024 Nov;16(11):e73676.
    PMID: 39559433 DOI: 10.7759/cureus.73676
    BACKGROUND:  This cross-sectional study among the employees of the National Defense University of Malaysia (NDUM) assessed the levels of depression, anxiety, and fear related to COVID-19 and its association with psychosocial factors. It was conducted during the strict lockdown period imposed by the Malaysian government due to the COVID-19 pandemic.

    METHODS:  A stratified sampling method was used, and 277 employees were randomly selected to participate in the study. Generalized anxiety disorder (GAD-7) was used to measure anxiety symptoms. Patient health questionnaire (PHQ-9) was utilized to assess depression. The fear of COVID-19 (FOC) was calculated using the Fear of COVID-19 Scale (FCV), while the psychosocial factors affecting psychological impact were measured using a self-generated questionnaire.

    RESULTS:  The study obtained a response rate of 46.2% (n=128). Most respondents were female, married, permanent employees, and from the non-academic group. Depressive and anxiety symptoms were reported by 47% (n=55) and 32.5% (n=38) of the respondents, respectively. Statistically, a higher level of fear related to COVID-19 was found among non-academic employees (p=0.015) and those with permanent employment status (p=0.030). Anxiety was significantly correlated with depression (r=0.70, p≤0.001), while no correlations were found between these factors and fear related to COVID-19. Taking over school lessons was the most troubling factor that affected the respondents' level of distress, followed by working from home and worrying about their family member's health.

    CONCLUSIONS:  This study identified significant psychological effects of the pandemic on university employees, with anxiety and depression being notably correlated. While the generalizability of the findings is limited due to a low response rate, several key psychosocial distress factors were identified. These findings emphasize the necessity of addressing psychosocial factors to mitigate the mental health impact of pandemics. Further research with a higher response rate is required to confirm these findings and to design targeted interventions to support affected employees.

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