Displaying publications 41 - 60 of 88 in total

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  1. Khan A, Zarin R, Hussain G, Ahmad NA, Mohd MH, Yusuf A
    Results Phys, 2021 Jan;20:103703.
    PMID: 33520623 DOI: 10.1016/j.rinp.2020.103703
    The dynamic of covid-19 epidemic model with a convex incidence rate is studied in this article. First, we formulate the model without control and study all the basic properties and results including local and global stability. We show the global stability of disease free equilibrium using the method of Lyapunov function theory while for disease endemic, we use the method of geometrical approach. Furthermore, we develop a model with suitable optimal control strategies. Our aim is to minimize the infection in the host population. In order to do this, we use two control variables. Moreover, sensitivity analysis complemented by simulations are performed to determine how changes in parameters affect the dynamical behavior of the system. Taking into account the central manifold theory the bifurcation analysis is also incorporated. The numerical simulations are performed in order to show the feasibility of the control strategy and effectiveness of the theoretical results.
  2. Ahmad MH, Salleh R, Siew Man C, Pardi M, Che Abdul Rahim N, Shahril N, et al.
    J Nutr Metab, 2021;2021:6639935.
    PMID: 33953978 DOI: 10.1155/2021/6639935
    Background: Malaysia is predicted to become an ageing population by 2035. Malnutrition among the elderly is one of growing concern. This study aims to identify the prevalence of malnutrition and its associated factors among the elderly in Malaysia.

    Methods: Data from the National Health and Morbidity Survey (NHMS) 2018 was analysed. This survey applied a multistage stratified cluster sampling design to ensure national representativeness. Malnutrition was identified using a validated Mini Nutrition Assessment-Short Form (MNA-SF). Variables on sociodemographic, health status, and dietary practices were also obtained. The complex sampling analysis was used to determine the prevalence and associated factors of at-risk or malnutrition among the elderly.

    Result: A total of 3,977 elderly completed the MNA-SF. The prevalence of malnutrition and at-risk of malnutrition was 7.3% and 23.5%, respectively. Complex sample multiple logistic regression found that the elderly who lived in a rural area, with no formal or primary level of education, had depression, Instrumental Activity of Daily Living (IADL) dependency, and low quality of life (QoL), were underweight, and had food insecurity and inadequate plain water intake were at a significant risk of malnutrition (malnutrition and at-risk), while Chinese, Bumiputra Sarawak, and BMI more than 25 kgm-2 were found to be protective.

    Conclusions: Currently, three out of ten elderly in Malaysia were at-risk or malnutrition. The elderly in a rural area, low education level, depression, IADL dependency, low QoL, underweight, food insecurity, and inadequate plain water intake were at risk of malnutrition in Malaysia. The multiagency approach is needed to tackle the issue of malnutrition among the elderly by considering all predictors identified from this study.

  3. Alareqe NA, Roslan S, Nordin MS, Ahmad NA, Taresh SM
    Front Psychol, 2021;12:562619.
    PMID: 34566736 DOI: 10.3389/fpsyg.2021.562619
    Millon Clinical Multiaxial Inventory MCMI-III is a multidimensional measure of psychopathology with excellent construct validity, test-retest reliability as well as internal consistency. Factor analysis of the MCMI-III has produced mixed results, extracting parsimonious three-factor solutions, or replicating the original four-factor solution in psychiatric samples from Western countries. However, little work has been done on the psychometric properties of the MCMI-III, using non-Western psychiatric samples. Outpatients (N = 212) completed the MCMI-III during a semi-structured interview. Eight exploratory factor analysis (EFA) methods were used to explore the underlying structure of MCMI-III. Skewness, kurtosis, and descriptive statistics confirmed that scales of MCMI-III were normally distributed. High-internal consistency was found. The eight EFA methods applied to the 24 clinical scales identified a consensual three-factor solution: factor I (internalizing psychopathology; 18 scales), factor II (externalizing psychopathology; 4 scales) and factor III (psychological disturbance; 2 scales), accounting for a total of 72% of the common variance. Regarding the cross-cultural equivalence of the MCMI-III structure, Tucker's congruence coefficient (Φ) was used and confirmed that internalizing (F1) and externalizing psychopathology (F2) factors obtained in this study are similar to high vs. low psychopathology and emotional constraint factors provided by American study of Haddy et al. (2005) (Φ was 0.86 and 0.97). These two factors are also similar to the general adjustment and antisocial acting out factors provided by the American study of Craig and Bivens (1998) (Φ was 0.82 and 0.96). The first two factors in this study also reflect high similarity with the factor solutions obtained with the Italian and Dutch versions of MCMI-III (Rossi et al., 2007; Pignolo et al., 2017). Despite using a psychiatric sample from a non-Western culture, the two factors identified for this MCMI-III Arabic version were similar to those reported on studies with MCMI-III, using primarily Western samples (Craig and Bivens, 1998; Rossi et al., 2007).
  4. Ying Ying C, Awaluddin SM, Kuang Kuay L, Siew Man C, Baharudin A, Miaw Yn L, et al.
    PMID: 33383635 DOI: 10.3390/ijerph18010168
    Internet addiction (IA) among adolescents is an issue of growing concern with adverse effects on adolescents' health and social functioning. This study aims to determine the prevalence of IA among school-going adolescents in Malaysia and its associated factors-specifically, lifestyle factors. A nationwide cross-sectional school-based health survey was conducted in 2017 among 27,497 students from 212 randomly selected secondary schools. Information regarding sociodemography, lifestyle, and internet use was obtained using a self-administered questionnaire. IA was measured using the Malay Version of Internet Addiction Test (MVIAT). The prevalence of internet addiction was 29.0%. A multivariable logistic analysis revealed that inadequate fruit and vegetable intakes, consumed carbonated soft drinks at least once a day, consumed fast food at least three days/week, sedentary behavior, current E-cigarette users, and ever/current alcohol drinkers were lifestyle factors significantly associated with IA. Adolescents from urban schools, of higher school grade, and those whose parents are married but living apart were also found to have a greater risk for internet addiction. A positive association was found between IA with unhealthy dietary and lifestyle behaviors among adolescents. The modification of lifestyle factors needs to be considered while developing strategies and interventions for awareness-raising and prevention of IA among adolescents.
  5. Ganapathy SS, Sooryanarayana R, Ahmad NA, Jamaluddin R, Abd Razak MA, Tan MP, et al.
    Geriatr Gerontol Int, 2020 Dec;20 Suppl 2:16-20.
    PMID: 33370858 DOI: 10.1111/ggi.14031
    AIM: Dementia is the major cause of disability among older persons and leading physical and psychological sequelae for both the person living with dementia (PLwD) and their caregivers. The aim of this study was to determine the prevalence of dementia in Malaysia and identify the factors influencing quality of life (QoL) of caregivers of PLwD.

    METHODS: A nationwide survey was conducted among individuals aged ≥60 years. Cognition was assessed with the Identification and Intervention for Dementia in Elderly Africans (IDEA) tool. QoL of older caregivers was assessed using the Control, Autonomy, Self-Realization and Pleasure (CASP-19) questionnaire.

    RESULTS: The prevalence of dementia among older adults aged ≥60 years in Malaysia was found to be 8.5%. The prevalence was found to be higher among females, those with no formal education and those in rural areas in Malaysia. The mean QoL of family caregivers of PLwD was significantly lower than the caregivers of older adults without dementia were (P 

  6. Sooryanarayana R, Wong NI, Ahmad NA, Razak MAA, Yusoff MFM, Chan YY, et al.
    Geriatr Gerontol Int, 2020 Dec;20 Suppl 2:7-15.
    PMID: 33370855 DOI: 10.1111/ggi.14094
    AIM: This article describes the methodology of the 2018 Malaysian National Health and Morbidity Survey, and provides an overview of the sociodemographic details of the respondents and key findings on the health of older adults.

    METHODS: The survey included 3977 community-dwelling respondents, aged ≥60 years across Malaysia. Two-stage stratified random sampling with selection of enumeration blocks from both urban and rural areas ensured the findings were representative of the Malaysian older population.

    RESULTS: Complex sampling analyses ensured that findings on various geriatric syndromes, non-communicable diseases, nutritional status, functional status, social well-being and quality of life are representative of the Malaysian older population. Among the limitations are that the composition of older persons varied slightly from the general older population.

    CONCLUSIONS: This article presents the methodology of the survey, and a baseline of the major health issues for older persons in Malaysia to provide clear guidance to researchers, program managers and policymakers to fully utilize the data from the Malaysian National Health and Morbidity Survey toward achieving healthy aging. The findings might stimulate more research on the health problems faced by older people to provide inputs for policymaking and program implementation. Geriatr Gerontol Int 2020; 20: 7-15.

  7. Ahmad NA, Abd Razak MA, Kassim MS, Sahril N, Ahmad FH, Harith AA, et al.
    Geriatr Gerontol Int, 2020 Dec;20 Suppl 2:21-25.
    PMID: 33370850 DOI: 10.1111/ggi.14012
    AIM: This study aimed to assess the relationship between functional limitations and depression among community-dwelling older adults in Malaysia.

    METHODS: Data from a nation-wide community-based cross-sectional study were analyzed. This study was conducted using a two-stage stratified random sampling design. In total, 3772 older adults aged ≥60 years responded to the survey. Depression was identified using a validated Malay version of the Geriatric Depression Scale (M-GDS-14), with those scored ≥6 categorized as having depression. Functional limitations were assessed using both Barthel's Activities of Daily Living (ADL) and Lawton's Instrumental Activities of Daily Living (IADL). The relationship was determined by multivariate logistic regression, adjusted for other variables.

    RESULTS: The prevalence of depression was 11.5% (95% confidence interval [CI] 9.4, 13.4). Multiple logistic regression analysis found that older adults with limitations in ADL were 2.6 times more likely of having depression (adjusted odds ratio [aOR] 2.58, 95% CI 2.01, 3.32), while those with limitations in IADL the risk of having depression was almost doubled (aOR 1.68, 95% CI: 1.32, 2.14). Other significant factors were incontinence (aOR 3.33, 95% CI: 2.33, 4.74), chronic medical illness (aOR 1.44, 95% CI: 1.15, 1.81), current smoker (aOR 4.19, 95% CI: 1.69, 10.39), poor social support (aOR 4.30, 95% CI: 2.98, 6.20), do not have partner, ethnic minorities and low individual monthly income.

    CONCLUSIONS: Older adults with functional limitation in both basic ADL and complex IADL are independently at higher risk of having depression. Geriatr Gerontol Int 2020; 20: 21-25.

  8. Abdul Mutalip MH, Abdul Rahim FA, Mohamed Haris H, Yoep N, Mahmud AF, Salleh R, et al.
    Geriatr Gerontol Int, 2020 Dec;20 Suppl 2:92-97.
    PMID: 33370851 DOI: 10.1111/ggi.13961
    AIM: Quality of life (QoL) among the older persons provides valuable insights into the potential modifiable risk factors that affect well-being in later life. This study aimed to describe the QoL and psychosocial factors of QoL of older persons in Malaysia.

    METHODS: We used the 19-item Control, Autonomy, Self-realization and Pleasure scale, a validated instrument that measures psychological well-being related to QoL in older persons. Scores range from 0 to 57, and higher scores indicate better QoL. We included several factors as covariates. Analysis of complex samples was carried out using Stata 15. Descriptive analysis was carried out to determine QoL by sociodemographic characteristics and other factors. Linear regression analysis was used to identify psychosocial factors that influence QoL.

    RESULTS: A total of 3444 individuals aged ≥60 years completed all 19-item Control, Autonomy, Self-realization and Pleasure items. The estimated mean QoL score was 47.01 (95% CI 46.30-47.72). Adjusted for confounders, QoL was lower among individuals with no formal education (-2.554, 95% CI -3.684, -1.424), probable depression (-1.042, 95% CI -1.212, -0.871) and food insecurity (-0.815, 95% CI -1.083, -0.548). QoL continued to improve with improved ADL score (0.302, 95% CI 0.052, 0.552), IADL score (0.646, 95% CI 0.382, 0.909) and better social support (0.308, 95% CI 0.187, 0.429).

    CONCLUSIONS: Lower education, depression, food insecurity, presence of limited functional status and poor social support negatively influenced QoL in older Malaysians. This study identified potentially modifiable factors that could be targeted for interventions to enhance QoL of older persons in Malaysia. Geriatr Gerontol Int 2020; 20: 92-97.

  9. Harith AA, Ahmad NA, Sahril N, Wahab NA, Kassim NA, Othman S, et al.
    Geriatr Gerontol Int, 2020 Dec;20 Suppl 2:43-48.
    PMID: 33370862 DOI: 10.1111/ggi.14039
    AIM: An aging population is a potential burden for unprepared developing countries. Malaysia is foreseen to be an aging country by 2035. Thus, this study aimed to determine the prevalence and factors associated with hearing disability among older persons in Malaysia.

    METHODS: Data from a nationwide survey implemented using a stratified cluster sampling design were analyzed. This study was carried out through face-to-face interviews and guided questionnaires. The questions were based on the Washington Group of Disability (WG) questionnaires, which produce multiple disability identifiers. Hearing disability is defined as at least one domain or question out of four questions coded as "A lot of difficulty" or "Cannot hear at all".

    RESULTS: The prevalence of hearing disability among older persons aged ≥60 years was 6.4% (95% CI 5.0-8.3), whereas 1.5% (95% CI 0.90, 2.50) older persons were reported to be using a hearing aid. The determinants of hearing disability are being male (aOR 2.67, 95% CI 1.94-3.66), being unemployed (retired, homemaker, unemployed; aOR 1.86, 95% CI 1.86-4.14) and had no formal education (aOR 18.25, 95% CI 4.18-79.55).

    CONCLUSIONS: Promoting healthy aging is important and crucial for Malaysia, in preparation toward an aging nation, as it could reduce the country's financial burden in the long term. Health-related agencies should promote health awareness and treatment centers in relation to hearing disability among older persons, as they should be educated and informed about healthcare choices availability, which is aligned with the Global Disability Action Plan 2014-2021. Geriatr Gerontol Int 2020; 20: 43-48.

  10. Chan YY, Lim KK, Omar MA, Mohd Yusoff MF, Sooryanarayana R, Ahmad NA, et al.
    Geriatr Gerontol Int, 2020 Dec;20 Suppl 2:49-56.
    PMID: 33370865 DOI: 10.1111/ggi.13977
    AIM: Physical inactivity in older adults is linked to increased risk of chronic diseases, disability and various poor health outcomes. As the aging population rises, the prevalence of diseases associated with aging also increases. Regular physical activity in older adults is important to improve overall health and promote healthy aging. This study aimed to determine the prevalence and factors associated with physical inactivity among older adults in Malaysia.

    METHODS: This study was based on 3969 Malaysian older adults aged ≥60 years who completed the physical activity module in the National Health and Morbidity Survey 2018, a population-based cross-sectional survey. Physical activity was measured using the Global Physical Activity Questionnaire through a face-to-face interview. Participants were classified as physically active or inactive. Associations between physical inactivity, sociodemographic characteristics and a range of selected independent variables were examined using multivariable logistic regression.

    RESULTS: Overall, three out of 10 (29.8%) Malaysian older adults were physically inactive. Results of multivariable analysis showed that older age group (≥80 years), of Bumiputera Sarawak ethnicity, unemployed/retirees/homemakers, functional limitation, diabetes mellitus and dementia were significantly associated with a higher risk of physical inactivity. Women, with secondary education level and good social support were less likely to be physically inactive.

    CONCLUSIONS: The present study reported the status of physical inactivity among older adults in Malaysia. There is the need to design effective public health programs and interventions to promote active living and healthy aging among Malaysian older adults, particularly in those at-risk older population subgroups. Geriatr Gerontol Int 2020; 20: 49-56.
  11. Naderipour A, Abdul-Malek Z, Ahmad NA, Kamyab H, Ashokkumar V, Ngamcharussrivichai C, et al.
    Environ Technol Innov, 2020 Nov;20:101151.
    PMID: 32923529 DOI: 10.1016/j.eti.2020.101151
    Coronavirus 2019 (COVID-19) has globally affected the human mortality rate and economic history of the modern world. According to the World Health Organization, COVID-19 has caused a severe threat to the health of the vulnerable groups, notably the elderly. There is still some disagreements regarding the source of the virus and its intermediate host. However, the spread of this disease has caused most countries to enforce strict curfew laws and close most industrial and recreational centres. This study aims to show the potential positive effects of COVID-19 on the environment and the increase of renewable energy generation in Malaysia. To prevent the spread of this disease, Malaysia enacted the Movement Control Order (MCO) law in March 2020. Implementation of this law led to a reduction in environmental pollution, especially air pollution, in this country. The greenhouse gases (GHG) emission , which was 8 Mt CO2 eq. from January 2020 to March 2020, reduced to <1 Mt CO2 eq. for April and May. The reduction of GHG emission and pollutant gases allowed more sunlight to reach photovoltaic panels, hence increasing the renewable energy generation.
  12. Prabu S, Samad NA, Ahmad NA, Jumbri K, Raoov M, Rahim NY, et al.
    Carbohydr Res, 2020 Nov;497:108138.
    PMID: 32911205 DOI: 10.1016/j.carres.2020.108138
    The behavior of the inclusion behavior of guanosine (GU) with beta-cyclodextrin (β-CD) in the liquid, solid and virtual state were investigated. The absorption and fluorescence spectral were used to determine the inclusion behavior in liquid state. FT-IR, NMR, TGA, DSC, PXRD and FESEM techniques were used to investigate the inclusion behavior in solid-state, meanwhile the virtual state studies are done by molecular docking. The solid inclusion complex (GU: β-CD) was prepared by using the co-precipitation method. The binding constant (K) of (GU: β-CD) was calculated by using Benesi-Hildebrand. Besides that, the 1:1 stoichiometric ratio of inclusion complex was confirmed by using the Benesi-Hildebrand plot and Job's plot of continuous variation method. The most preferable model of GU: β-CD that suggested via molecular docking studies was in good agreement with experimental results. The inclusion complex of GU: β-CD exerted its toxicity effects towards HepG2 cell lines based on the reduced number of cell viability and lowest IC50 value compared to the GU and β-CD viability.
  13. Aminu M, Ahmad NA
    ACS Omega, 2020 Oct 20;5(41):26601-26610.
    PMID: 33110988 DOI: 10.1021/acsomega.0c03362
    Partial least squares discriminant analysis (PLS-DA) is a well-known technique for feature extraction and discriminant analysis in chemometrics. Despite its popularity, it has been observed that PLS-DA does not automatically lead to extraction of relevant features. Feature learning and extraction depends on how well the discriminant subspace is captured. In this paper, discriminant subspace learning of chemical data is discussed from the perspective of PLS-DA and a recent extension of PLS-DA, which is known as the locality preserving partial least squares discriminant analysis (LPPLS-DA). The objective is twofold: (a) to introduce the LPPLS-DA algorithm to the chemometrics community and (b) to demonstrate the superior discrimination capabilities of LPPLS-DA and how it can be a powerful alternative to PLS-DA. Four chemical data sets are used: three spectroscopic data sets and one that contains compositional data. Comparative performances are measured based on discrimination and classification of these data sets. To compare the classification performances, the data samples are projected onto the PLS-DA and LPPLS-DA subspaces, and classification of the projected samples into one of the different groups (classes) is done using the nearest-neighbor classifier. We also compare the two techniques in data visualization (discrimination) task. The ability of LPPLS-DA to group samples from the same class while at the same time maximizing the between-class separation is clearly shown in our results. In comparison with PLS-DA, separation of data in the projected LPPLS-DA subspace is more well defined.
  14. Ahmad NA, Mat Ludin AF, Shahar S, Mohd Noah SA, Mohd Tohit N
    BMJ Open, 2020 Mar 16;10(3):e033870.
    PMID: 32184309 DOI: 10.1136/bmjopen-2019-033870
    INTRODUCTION: The world's older population continues to grow at an unprecedented rate. An ageing population poses a great challenge to our healthcare system that requires new tool to tackle the complexity of health services as well as the increasing expenses. Mobile health applications (mHealth app) is seen to have the potential to address these challenges, alleviating burdens on the healthcare system and enhance the quality of life for older adults. Despite the numerous benefits of mHealth apps, relatively little is known about whether older adults perceive that these apps confer such benefits. Their perspectives towards the use of mobile applications for health-related purposes have also been little studied. Therefore, in this paper, we outline our scoping review protocol to systematically review literature specific to older adults' willingness, perceived barriers and motivators towards the use of mobile applications to monitor and manage their health.

    METHODS AND ANALYSIS: Arksey and O'Malley's scoping review methodology framework will guide the conduct of this scoping review. The search strategy will involve electronic databases including PubMed, Excerpta Medica Database, Cumulative Index of Nursing and Allied Health Literature, Cochrane Library, Google Scholar and ScienceDirect, in addition to grey literature sources and hand-searching of reference lists. Two reviewers will independently screen all abstracts and full-text studies for inclusion. Data will be charted and sorted through an iterative process by the research team. The extracted data will undergo a descriptive analysis and simple quantitative analysis will be conducted using descriptive statistics. Engagement with relevant stakeholders will be carried out to gain more insights into our data from different perspectives.

    ETHICS AND DISSEMINATION: Since the data used are from publicly available sources, this study does not require ethical approval. Results will be disseminated through academic journals, conferences and seminars. We anticipate that our findings will aid technology developers and health professionals working in the area of ageing and rehabilitation.

  15. 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.
  16. Firdaus F, Ahmad NA, Sahibuddin S
    Sensors (Basel), 2019 Dec 15;19(24).
    PMID: 31847488 DOI: 10.3390/s19245546
    Wireless local area networks (WLAN)-fingerprinting has been highlighted as the preferred technology for indoor positioning due to its accurate positioning and minimal infrastructure cost. However, its accuracy is highly influenced by obstacles that cause fluctuation in the signal strength. Many researchers have modeled static obstacles such as walls and ceilings, but few studies have modeled the people's presence effect (PPE), although the human body has a great impact on signal strength. Therefore, PPE must be addressed to obtain accurate positioning results. Previous research has proposed a model to address this issue, but these studies only considered the direct path signal between the transmitter and the receiver whereas multipath effects such as reflection also have a significant influence on indoor signal propagation. This research proposes an accurate indoor-positioning model by considering people's presence and multipath using ray-tracing, we call it (AIRY). This study proposed two solutions to construct AIRY: an automatic radio map using ray tracing and a constant of people's effect for the received signal strength indicator (RSSI) adaptation. The proposed model was simulated using MATLAB software and tested at Level 3, Menara Razak, Universiti Teknologi Malaysia. A K-nearest-neighbor (KNN) algorithm was used to define a position. The initial accuracy was 2.04 m, which then reduced to 0.57 m after people's presence and multipath effects were considered.
  17. Ahmad NA, Yook Heng L, Salam F, Mat Zaid MH, Abu Hanifah S
    Sensors (Basel), 2019 Nov 05;19(21).
    PMID: 31694284 DOI: 10.3390/s19214813
    A developed colorimetric pH sensor film based on edible materials for real-time monitoring of food freshness is described. The mixed natural dyes from edible plants Clitoria sp and Brassica sp were extracted and incorporated into ι-carrageenan film as a colorimetric pH sensor film for monitoring food spoilage and its freshness. The color changes of the developed colorimetric sensor film were measured with chromametry and UV-vis spectroscopy, respectively. Experimental results show that colorimetric pH sensor film demonstrated statistically significant differences (p < 0.05) between CIE-L*a*b* coordinates color system indicated that the developed colorimetric sensor film was able to give a gradual change in color over a wide pH range. The color of the colorimetric sensor film also changes discretely and linearly with factors that contribute to food spoilage using shrimp and durian samples. Moreover, the developed colorimetric pH sensor film has the potential to be used as a safe, non-destructive testing and also a flexibly visual method for direct assessment of food freshness indicator during storage.
  18. Abd Razak MA, Ahmad NA, Abd Aziz FA, Jamaluddin R, Sidik SM, Awaluddin SM, et al.
    Asia Pac J Public Health, 2019 11;31(8_suppl):30S-37S.
    PMID: 31402682 DOI: 10.1177/1010539519867796
    Limited evidence on the association of being bullied with depression among adolescents was found in Malaysia. This study aimed to determine the association of being bullied and depression among Malaysian school-going adolescents. Data from the National Health and Morbidity Survey 2017, a cross-sectional study conducted from March to May 2017, was analyzed using descriptive and multiple logistic regression analysis. A validated tool, the Depression, Anxiety, and Stress Scale-21 was used to categorize those with moderate or higher levels of depressive symptoms as having depression. A total of 27 399 school-going adolescents participated and 18.3% were found depressed. Adolescents of Indian ethnicity (adjusted odds ratio [aOR] = 2.02, P < .001), those with parents living apart (aOR = 1.41, P < .001), and those who were being bullied (aOR = 2.98, P < .001) were more likely to have depression. This study demonstrated the association between being bullied and having depression. Comprehensive preventive strategies should be implemented taking into consideration the findings from this study.
  19. Abdul Aziz FA, Abd Razak MA, Ahmad NA, Awaluddin SM, Lodz NA, Sooryanarayana R, et al.
    Asia Pac J Public Health, 2019 11;31(8_suppl):73S-79S.
    PMID: 31353928 DOI: 10.1177/1010539519862161
    Various factors contribute to suicidal attempt. This study aims to determine the relationship between suicidal attempt and its associated factors among school-going adolescents in Malaysia. Data from the National Health and Morbidity 2017 survey were analyzed. This survey was implemented as a nationwide school-based survey targeting adolescents 13 to 17 years old. Descriptive and multiple logistic regression analysis was done using SPSS version 20. A total of 27 399 adolescents participated in this survey. The prevalence of suicidal attempt was 6.9% (95% confidence interval = 6.2-7.7). Multivariate analysis found that the odds of suicidal attempt among adolescent with depression is 4.3 (adjusted odds ratio = 4.3; 95% confidence interval = 3.9-4.8). Other significant factors are young adolescent, non-Malay ethnicities especially Indian, adolescent with parents living apart, and those without peer support and parental connectedness. A holistic approach for the planning of preventative strategies and public health policies should be made according to these risk factors.
    Study name: National Health and Morbidity Survey (NHMS-2017)
  20. Abd Razak MA, Ahmad NA, Chan YY, Mohamad Kasim N, Yusof M, Abdul Ghani MKA, et al.
    Public Health, 2019 Apr;169:84-92.
    PMID: 30826688 DOI: 10.1016/j.puhe.2019.01.001
    OBJECTIVES: This systematic review aims to provide updated and comprehensive evidence on the validity and feasibility of screening tools for mild cognitive impairment (MCI) and dementia among the elderly at primary healthcare level.

    STUDY DESIGN: A review of articles was performed.

    METHODS: A search strategy was used by using electronic bibliographic databases including PubMed, Embase and CENTRAL for published studies and reference list of published studies. The articles were exported to a bibliographic database for further screening process. Two reviewers worked independently to screen results and extract data from the included studies. Any discrepancies were resolved and confirmed by the consensus of all authors.

    RESULTS: There were three screening approaches for detecting MCI and dementia - screening by a healthcare provider, screening by a self-administered questionnaire and caretaker informant screening. Montreal Cognitive Assessment (MoCA) was the most common and preferable tool for MCI screening (sensitivity [Sn]: 81-97%; specificity [Sp]: 60-86%), whereas Addenbrooke's Cognitive Examination (ACE) was the preferable tool for dementia screening (Sn: 79-100%; Sp: 86%).

    CONCLUSION: This systematic review found that there are three screening approaches for detecting early dementia and MCI at primary health care. ACE and MoCA are recommended tools for screening of dementia and MCI, respectively.

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