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  1. Kaur G, Tee GH, Ariaratnam S, Krishnapillai AS, China K
    BMC Fam Pract, 2013;14:69.
    PMID: 23710584 DOI: 10.1186/1471-2296-14-69
    Diabetes mellitus is a highly prevalent condition in Malaysia, increasing from 11.6% in 2006 to 15.2% in 2011 among individuals 18 years and above. Co-morbid depression in diabetics is associated with hyperglycemia, diabetic complications and increased health care costs. The aims of this study are to determine the prevalence and predictors of depression, anxiety and stress symptoms in Type II diabetics attending government primary care facilities in the urban area of Klang Valley, Malaysia.
  2. Nazali MIM, Razali S, Ariaratnam S, Ahmad Y, Nawawi H
    Front Psychiatry, 2021;12:705018.
    PMID: 34434129 DOI: 10.3389/fpsyt.2021.705018
    Experiencing good quality of life (QOL) among university staff is extremely crucial to ensuring academic excellence; however, there are limited data on factors that contribute to QOL among university staff. This study aims to determine the level and the predictors for good QOL among university staff. The consenting participants were selected using a stratified sampling method. Participants who had fulfilled the selection criteria were provided with socio-demographic, medical illness, job factor, and family background questionnaires. QOL and psychological well-being (depression, anxiety, and stress) were assessed using the World Health Organization Quality of Life brief version (WHOQOL-BREF) and Depression, Anxiety, and Stress Scale (DASS-21) questionnaires, respectively. A total of 278 staff (mean ± SD age: 38.84 ± 7.85 years, 44.2% males, 82.7% married) had participated in this study. This study found that participants had low QOL in the domains of physical health [P-QOL] (11.2%), psychological health [PSY-QOL] (9.7%), social relationships [SR-QOL] (19.1%), and environment [E-QOL] (14.4%). The predictors of P-QOL were depression, medical illness, and number of dependents, while those of PSY-QOL were work promotion, depression, medical illness, and number of dependents. Additionally, the predictors of SR-QOL were campus location, depression, and work promotion, while those of E-QOL were age, level of education, depression, work promotion, and medical illness. Depression significantly affected all domains of QOL. Younger participants without medical illness and those with tertiary level of education had increased odds of having good QOL. Participants having dependents without work promotion and employed in suburban areas had decreased odds of having good QOL. The relevant authority should be identified and then assist staff with difficulties to ensure the staff benefited from having a good QOL.
  3. Hashim NA, Ariaratnam S, Salleh MR, Said MA, Sulaiman AH
    East Asian Arch Psychiatry, 2016 Jun;26(2):77-82.
    PMID: 27377489
    OBJECTIVES: To determine the prevalence of major depressive disorder and its association with socio-demographic and clinical factors in patients with type 2 diabetes mellitus.

    METHODS: This was a cross-sectional study of patients with type 2 diabetes mellitus who attended the hospital-based primary care clinics at the University Malaya Medical Centre, Kuala Lumpur, Malaysia. The patients were interviewed using the Mini-International Neuropsychiatric Interview to diagnose depression based on the DSM-IV criteria. The socio-demographic and clinical data were obtained by interviewing the patients and subsequently verified against their respective case notes.

    RESULTS: A total of 204 patients were recruited. The prevalence of major depressive disorder was 15.7%. Major depressive disorder was significantly associated with younger age of patients (mean ± standard deviation, 57.8 ± 15.1 years, p = 0.04), younger age at diagnosis of diabetes mellitus (46.2 ± 13.0 years, p = 0.01), having secondary education (p = 0.02), and having a history of depression (p = 0.002). Multivariate analysis showed that current age (p = 0.04), duration of diabetes mellitus (p = 0.04), age at diagnosis of diabetes mellitus (p = 0.01), and secondary education (p = 0.01) were significant factors.

    CONCLUSIONS: The prevalence of major depressive disorder was high among patients with type 2 diabetes mellitus. Screening of patients with type 2 diabetes mellitus for depression should be performed periodically or routinely, especially in the primary care setting.
  4. 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.
  5. Sazlina SG, Sooryanarayana R, Ho BK, Omar MA, Krishnapillai AD, Mohd Tohit N, et al.
    PLoS One, 2020;15(10):e0240826.
    PMID: 33085718 DOI: 10.1371/journal.pone.0240826
    Study on cardiovascular disease (CVD) risk factors and their prevalence among the older people in Malaysia is limited. We aimed to determine the prevalence and factors associated with CVD risk factors using the non-laboratory Framingham Generalized 10-Year CVD risk score among older people in Malaysia. This was a population-based cross-sectional study using data of 3,375 participants aged ≥60 years from the National Health and Morbidity Survey 2015. Sociodemographic, health factors and clinical assessments (anthropometry and blood pressure) were included. Complex survey analysis was used to obtain prevalence with 95% confidence intervals (CI). We applied ordinal regression to determine the factors associated with CVD risk. The prevalence for the high 10-year CVD risk was 72.1%. Body mass index was higher among those aged 60-69 years in men (25.4kg/m2, 95%CI 25.1-25.8) and women (26.7kg/m2, 95%CI 26.3-27.1) than the other age groups. The factors associated with moderate and high 10-year CVD risk were Malay ethnicity (Odds Ratio(OR) 0.76, 95%CI 0.63-0.92, p = 0.004), unmarried status (OR 1.55, 95%CI 1.22-1.97, p<0.001) and physically inactive (OR 0.72, 95%CI 0.55-0.95, p = 0.020). There is a need for future study to evaluate preventive strategies to improve the health of older people in order to promote healthy ageing.
  6. Ariaratnam S, Kee CC, Krishnapillai AD, Sanaudi R, Tohit NM, Ho KB, et al.
    Tob Induc Dis, 2023;21:109.
    PMID: 37654502 DOI: 10.18332/tid/169682
    INTRODUCTION: Literature exploring smoking status and its association with depression among the elderly population using nationwide data in Malaysia is limited. Hence, a nationwide survey to determine the prevalence of smoking and depression among the elderly (aged ≥60 years) population was undertaken.

    METHODS: This secondary dataset analysis used data from the National Health and Morbidity Survey (NHMS) 2018. Data from 3914 participants were collected on elderly health in the Malaysian population. Sociodemographic characteristics were recorded. Smoking status was grouped as current smokers, former smokers, and non-smokers. A validated Malay language version of the Geriatric Depression Scale (M-GDS-14) was used to screen for depression among the elderly.

    RESULTS: There was a significant association between smoking status with location, gender, employment status, marital status, ethnicity, education level, income, and depression. Current smokers are significantly higher in rural than urban areas. Among depressed participants, 65.7%, 17.1% and 17.2% were non-smokers, former smokers and current smokers, respectively. Multiple logistic regression showed that single (unmarried/separated/ divorced/widowed) participants were more likely to be depressed compared to married participants (AOR=1.68; 95% CI: 1.16-2.43). Whilst unemployed participants were more likely to be depressed than those who were employed (AOR=1.72; 95% CI: 1.22-2.44). Other Bumiputras were more likely to have depression compared to Malay, Chinese and Indian participants. Participants without formal education were more likely to be depressed compared to those having tertiary education. These participants have a 2-fold increased risk of depression (AOR=2.13; 95% CI: 1.02-4.45). Participants whose monthly salaries were <2000 MYR (AOR=3.67; 95% CI: 1.84-7.31) and 1000-1999 MYR (AOR=2.71; 95% CI: 1.23-5.94) were more likely to have depression compared with those who had received ≥3000 MYR. Ever smokers were more likely to be depressed than non-smokers (AOR=1.68; 95% CI: 1.23-2.29).

    CONCLUSIONS: Elderly Malaysians are indeed at risk of developing depression particularly if they had ever smoked. Public health awareness and campaigning are pertinent to disseminate these outcomes in order to spread the awareness associated with smoking-related depression.

  7. Ariaratnam S, Rodzlan Hasani WS, Krishnapillai AD, Abd Hamid HA, Jane Ling MY, Ho BK, et al.
    PLoS One, 2020;15(9):e0238566.
    PMID: 32915860 DOI: 10.1371/journal.pone.0238566
    BACKGROUND: Obesity is a crucial public health problem and is rising globally. This study was conducted to determine the prevalence of obesity and its associated factors among the elderly in Malaysia.
    METHODS: Data were obtained from the National Health and Morbidity Survey (NHMS) 2015. This was a cross sectional population-based study using a two stage stratified random sampling design. Elderly population aged 60 years and above was selected. Data were collected using pre-tested self-administered questionnaire in the form of sociodemographic profile, non-communicable diseases (NCD) comorbidities (status on hypertension, diabetes and hypercholesterolemia) and NCD risk factors (current smoker and physical activity). Obesity has been defined using the World Health Organization (WHO) Body Mass Index (BMI) guideline, 1998. A complex sampling design analysis was used for the descriptive statistics. The associated risk factors for obesity were identified using Multiple Logistic Regression analysis.
    RESULTS: A total of 3794 respondents were included in this study. The prevalence of obesity among Malaysian elderly was 30.2%. The prevalence of obesity among the elderly was significantly higher in females, respondents from urban areas and Indians. Approximately one third of the elderly with non-communicable diseases such as hypertension (33.1%) and diabetes (38.8%), respectively, were obese. Among elderly who were obese, majority of them (89.8%) had at least one NCD. The prevalence of obesity was 16.8% among current smokers (aOR 0.59). Multiple logistic regression analysis revealed that elderly females (aOR [adjusted odds ratio] 1.52), having secondary education (aOR 1.96) with household income of RM 3000 and above (aOR 1.57) as well as being hypertensive (aOR 1.61) and diabetic (aOR 1.50) were more likely to be obese. In contrast, the Chinese elderly respondents (aOR 0.62) and current smokers (aOR 0.59) were less likely to be obese. There were no significant associations of obesity with hypercholesterolemia or with physical activity.
    CONCLUSIONS: A substantial proportion of Malaysian elderly were obese, and factors associated with obesity among them were being female, having secondary education with a household income of RM 3000 and above and being hypertensive or diabetic. Enhanced health promotion and education should be targeted at younger people in order to prevent obesity in the later years.
    Study name: National Health and Morbidity Survey (NHMS-2015)
  8. Shariff Ghazali S, Seman Z, Zainuddin NH, Omar MA, Sooryanarayana R, Ariaratnam S, et al.
    BMJ Open, 2021 10 20;11(10):e052126.
    PMID: 34670764 DOI: 10.1136/bmjopen-2021-052126
    OBJECTIVES: To determine the prevalence and factors associated with multimorbidity among community-dwelling older adults in Malaysia.

    DESIGN: A population-based cross-sectional study.

    SETTING: 13 states and 3 Federal Territories in Malaysia.

    PARTICIPANTS: A total of 3966 adults aged 60 years and above were extracted from the nationwide National Health and Morbidity Survey (NHMS) 2018 data set.

    PRIMARY OUTCOME MEASURES: Multimorbidity was defined as co-occurrence of at least two known chronic non-communicable diseases in the same individual. The chronic diseases included hypertension, type 2 diabetes mellitus, dyslipidaemia and cancer.

    RESULTS: The prevalence of multimorbidity among Malaysian older adults was 40.6% (95% CI: 37.9 to 43.3). The factors associated with multimorbidity were those aged 70-79 years (adjusted OR (AOR)=1.30; 95% CI=1.04 to 1.63; p=0.019), of Indian (AOR=1.69; 95% CI=1.14 to 2.52; p=0.010) and Bumiputera Sarawak ethnicities (AOR=1.81; 95% CI=1.14 to 2.89; p=0.013), unemployed (AOR=1.53; 95% CI=1.20 to 1.95; p=0.001), with functional limitation from activities of daily livings (AOR=1.66; 95% CI=1.17 to 2.37; p=0.005), physically inactive (AOR=1.28; 95% CI=1.03 to 1.60; p=0.026), being overweight (AOR=1.62; 95% CI=1.11 to 2.36; p=0.014), obese (AOR=1.88; 95% CI=1.27 to 2.77; p=0.002) and with abdominal obesity (AOR=1.52; 95% CI=1.11 to 2.07; p=0.009).

    CONCLUSION: This study highlighted that multimorbidity was prevalent among older adults in the community. Thus, there is a need for future studies to evaluate preventive strategies to prevent or delay multimorbidity among older adults in order to promote healthy and productive ageing.

  9. Krishnapillai A, Kee CC, Ariaratnam S, Jaffar A, Omar MA, Sanaudi RB, et al.
    Healthcare (Basel), 2023 Aug 10;11(16).
    PMID: 37628448 DOI: 10.3390/healthcare11162249
    BACKGROUND: Globally, the average age of the world's population of older people continues to rise and having a good social support network becomes increasingly relevant with the aging populace. Overall, in Malaysia, social support prevalence was low among older persons. This study was conducted to determine the association between social support and smoking status among the older Malaysian population.

    METHODS: Data were obtained from the National Health and Morbidity (NHMS) 2018 survey on the health of older Malaysian adults and analyzed. This cross-sectional population-based study used a two-stage stratified random sampling design. Sociodemographic characteristics, smoking status, and social support data were collected from respondents aged 60 years and more. A validated Malay language interviewer-administered questionnaire of 11-items, the Duke Social Support Index, was utilized to assess the social support status. A multivariable logistic regression analysis was used to assess the association of social support and smoking status among the respondents.

    RESULTS: The prevalence of good social support was significantly higher among the 60-69 years old (73.1%) compared to the ≥80 years old respondents (50%). Multivariate logistic regression analysis showed that respondents aged ≥80 years old were 1.7 times more likely to have poor social support compared to those aged 60-69 years. Respondents with no formal education were 1.93 times more likely to have poor social support compared to respondents who had tertiary education. Respondents with an income of MYR 3000. Former smokers had good social support compared to current smokers (73.6% vs. 78.7%). For current smokers, they had poor social support, which is almost 1.42 times higher than that for non-smokers.

    CONCLUSION: There was poor social support among older people who were current smokers, had an increased age, had no formal education and had a low income. The findings obtained from this study could assist policymakers to develop relevant strategies at the national level to enhance the social support status among older smokers and aid in their smoking cessation efforts.

  10. Ho BK, Omar MA, Sooryanarayana R, Ghazali SS, Zainal Abidin SBI, Krishnapillai A, et al.
    PLoS One, 2020;15(9):e0238780.
    PMID: 32911521 DOI: 10.1371/journal.pone.0238780
    BACKGROUND: Hypertension is one of the most important risk factors for cardiovascular diseases. Thus, it is an important public health challenge worldwide. In Malaysia, only a few studies have focused on the trends of hypertension specifically for the aging population. In view of the rapid growth of the elderly population in Malaysia, there is an urgent need to explore the condition of hypertension in this aging population. Hence, the objectives of this study were to determine the trends of population mean systolic and diastolic blood pressure (BP) levels, the prevalence, awareness, treatment and control of hypertension, and its' associated factors among older persons in two cross-sectional national surveys that were conducted in 2006 and 2015 in Malaysia.

    METHODS: This was a subanalysis of secondary data collected from the two cross-sectional national population-based surveys conducted in Malaysia in 2006 and 2015. Adults aged 60 and older who had participated in these two surveys were included in the study.

    RESULTS: A total of 4954 (2295 males and 2659 females) and 3790 (1771 males and 2019 females) respondents completed the hypertension module surveys in 2006 and 2015, respectively. The mean age of the respondents was 68.5±6.9 years in 2006 and 68.6±7.1 years in 2015 and the difference was not significant. The prevalence of hypertension significantly reduced from 73.8% in 2006 to 69.2% in 2015 (p<0.001). Among the respondents with hypertension, the awareness, treatment and control of hypertension significantly increased from 49.7% to 60.2%, 86.7% to 91.5% and 23.3% to 44.8%, respectively, from 2006 to 2015. Logistic regression analysis showed that female sex and unemployed/retiree were significantly associated with higher hypertension prevalence in both 2006 and 2015. Being unemployed/ retiree was significantly associated with higher awareness of hypertension in both 2006 and 2015. In both 2006 and 2015, Chinese ethnicity were significantly associated with higher awareness and control of hypertension.

    CONCLUSIONS: The mean population BP levels and hypertension prevalence among the elderly population in Malaysia have reduced significantly over the past decade. Although the awareness, treatment and control of hypertension among older adults have improved significantly, the awareness and control rates remain suboptimal. As population aging is inevitable, appropriate public health programs and optimal treatment strategies targeting this vulnerable group are urgently needed to improve the overall awareness and control of hypertension and to prevent hypertension-related complications.

  11. Wan Puteh SE, Manap RA, Hassan TM, Ahmad IS, Idris IB, Sham FM, et al.
    Tob Induc Dis, 2018;16:57.
    PMID: 31516454 DOI: 10.18332/tid/99539
    INTRODUCTION: E-cigarette use is an emerging phenomenon with increasing recognition and acceptance globally. This study aims to create a profile of e-cigarette users among university students in Malaysia.

    METHODS: The study was conducted using a cross-sectional research involving six universities in Malaysia. A semi-structured questionnaire was distributed to 1302 randomly selected students, who either smoked cigarettes and/or e-cigarettes. The 2011 version of Global Adult Tobacco Surveys (GATS) tool was used to record the respondents' sociodemographic data.

    RESULTS: The study revealed that 74.9% of the respondents smoked e-cigarettes; 40.3% used both cigarettes and e-cigarettes (dual users), and 34.5% were exclusive e-cigarette users. The exclusive use of e-cigarettes was related to gender (OR=0.18, 95% CI: 0.09-0.39). Also, male respondents were the majority users (95%). Of the respondents, 75.2 % were Malays, 98.0% single and most believed they have no health problems (92.1%). Further findings revealed the occurrence of adverse effects, dizziness 14.4%, cough 14.1%, and headaches 12.4%. Overall, 57.8% of the respondents used e-cigarettes as a smoking cessation tool, while others consider e-cigarettes a self-image enhancing tool or as part of social activities.

    CONCLUSIONS: Further research on the use of e-cigarettes should be conducted on a large number of respondents in other settings to augment the findings of this study, and also guide policy making on and prevention practice of e-cigarette use, among the general student population in Malaysia.
  12. Ariaratnam S, Krishnapillai AD, Daher AM, Fadzil MA, Razali S, Omar SA, et al.
    Lipids Health Dis, 2017 Feb 28;16(1):50.
    PMID: 28245847 DOI: 10.1186/s12944-017-0438-1
    BACKGROUND: The scarcity of data about coping styles with a biochemical marker namely lipid profile, potentially associated with cardiovascular risk factors is most striking among professionals working in public university. Hence, this research aimed to investigate the relationship between coping styles and lipid profile comprising total cholesterol (TC), triglyceride (TG), HDL-cholesterol (high density lipoprotein-cholesterol) and LDL-cholesterol (Low density lipoprotein-cholesterol) among this group of professionals.

    METHODS: A cross sectional survey was conducted among staff from a tertiary education centre. Subjects were contacted to ascertain their medical history. A total of 320 subjects were interviewed and 195 subjects were eligible and subsequently recruited on a suitable date for taking blood and administration of the questionnaires. The subjects completed questionnaires pertaining to demographic details and coping styles. Pearson's correlation coefficient was used to measure the strength of association between lipid profile and coping styles.

    RESULTS: Majority of the subjects were non-academic staff (60.0%), female (67.2%), Malay (91.8%), married (52.3%) and educated until Diploma level (34.9%). Academic staff scored significantly higher mean scores in task-oriented coping styles (Mean = 64.12). Non-academic staff scored significantly higher mean scores in emotion (Mean = 48.05) and avoidance-oriented coping styles (Mean = 57.61). Malay subjects had significantly higher mean scores in emotion (Mean = 47.14) and avoidance-oriented coping styles (Mean = 55.23). Non-malay subjects (Mean = 66.00) attained significantly higher mean scores in task-oriented coping styles. Single/divorced/widowed individuals scored significantly higher mean scores in emotion (Mean = 48.13) and avoidance-oriented coping styles (Mean = 56.86). There was a significant negative correlation between TC (r = -0.162) and LDL (r = -0.168) with avoidance-oriented coping styles (p = 0.023, p = 0.019 respectively).

    CONCLUSION: Avoidance-oriented coping style was more likely to engender favourable lipid profile. Hence, assessment of coping styles would certainly assist health care practitioners in predicting subjects who would be at a greater risk of developing cardiovascular diseases.

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