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Fulltext Do Living Arrangements and Social Network Influence the Mental Health Status of Older Adults in Malaysia?

Hamid TA, Din HM, Bagat MF, Ibrahim R

Front Public Health, 2021;9:624394.
PMID: 34026706 DOI: 10.3389/fpubh.2021.624394

Living arrangement has been reported to have a significant influence on several mental health statuses of older adults, but their social network may confound this association. This study is aimed at examining the interactive effect of living arrangements and social network on the mental health status among older adults in Malaysia. A total of 2,188 Malaysian older adults living nationwide were included in this cross-sectional study. Participants were classified into four groups according to their living arrangements (living alone or not living alone) and social network size (assessed using Lubben's Social Network Scale-6). Poor social network was defined as the lowest quartile (fourth quartile) of the score. Mental health statuses, which include flourishing in life, life satisfaction, cognitive functions, loneliness, depression, and perceived stress, were measured. Multiple linear regression models, adjusted for age, gender, education, and comorbidities, revealed that a good social network was significantly associated with an increase on the flourishing scale scores, regardless of living arrangements. Not living alone and having good social network was significantly associated with increased Montreal Cognitive Assessment scores and decreased loneliness scores. This study found that living arrangements are not always a risk factor for the mental health status of older adults. However, it may be confounded by the level of their social networks. The results suggested that the effects of social network may exceed the impact of living arrangements. It is recommended that health professionals pay more attention to the social networks of older Malaysians to harness its benefits in improving their mental health status.
Fulltext Effects of a Multi-Component Training Program on Healthy Older Adults' Prospective Memory Performance: Assessing Change Over Time

Farzin A, Ibrahim R, Madon Z, Basri H, Farzin S, Motalebizadeh A

Front Public Health, 2021;9:594953.
PMID: 33968872 DOI: 10.3389/fpubh.2021.594953

Prospective Memory (PM) is a cognitive function affected by aging. PM is the memory of future intentions and is significantly involved in everyday life, especially among older adults. Nevertheless, there are a few studies focused on PM training among healthy older adults and these studies did not report the optimal duration of training regarding improving PM performance among older adults. The present study aimed to determine the effective duration for training PM performance among healthy older adults. The current study was a randomized, controlled, single-blind, within-participants crossover trial including a training program with a duration of 12 h. The sample of 25 older adults aged 55 to 74 years recruited from the active members of the University of the Third Age (U3A), Kuala Lumpur/Selangor, their family members, and friends. The study design ensured some participants would receive the training after baseline while others would wait for 6 weeks after the baseline before receiving the training. All participants were evaluated five times: at baseline, 6, 12, 16, and at 24 weeks post-baseline. Moreover, the training program ensured all participants were assessed after each training session. The minimum number of hours to achieve training effects for this multi-component training program was eight. Results supported the efficacy of the training program in improving PM performance among healthy older adults. Also, the optimal duration for the multicomponent training program on PM performance among healthy older adults was obtained. This trial is registered at isrctn.com (#ISRCTN57600070).
Fulltext Validation of the Arabic Version of General Medication Adherence Scale (GMAS) in Sudanese Patients with Diabetes Mellitus

Mahmoud MA, Islam MA, Ahmed M, Bashir R, Ibrahim R, Al-Nemiri S, et al.

Risk Manag Healthc Policy, 2021;14:4235-4241.
PMID: 34675717 DOI: 10.2147/RMHP.S325184

Objective: The aim of this study was to validate the Arabic version of General Medication Adherence Scale (GMAS) in Sudanese patients with type 2 diabetes mellitus (T2DM).
Methods: A 3-month cross-sectional study was conducted among patients with T2DM at Al-Daraja Health Center, located in Wad Medani, Sudan. A convenient sample of patients was selected, and the study sample size was calculated using the item response ratio. Factorial, known group, and construct validities were determined. Internal consistency and reliability were also determined.
Results: Responses were provided by 500 patients. The average medication adherence score was 30 (median 31). The normed fit index (NFI) was 0.950, the comparative fit index (CFI) was 0.963, the incremental fit index (IFI) was 0.963, and the root-mean-square error of approximation (RMSEA) was 0.071. The results from these fit indices indicated a good model. Factorial, known group and construct validities were all established. A significant association was found between adherence score and age (P = 0.03) since a larger proportion of older patients were found to have high adherence compared to patients in other age groups. The reliability (α) of the questionnaire was 0.834.
Conclusion: The Arabic version of GMAS was validated in Sudanese patients with T2DM making it a suitable scale to be used in this population.
Fulltext Prevalence, Circumstances, and Risk Factors of Falls Among Community Dwelling Members of University of the Third Age

Ashari A, Hamid TA, Hussain MR, Ibrahim R, Hill KD

Front Public Health, 2021;9:610504.
PMID: 34900882 DOI: 10.3389/fpubh.2021.610504

Objective: Study aimed to identify the prevalence of falls and associated contributory factors among older Malaysians. Methods: A cross sectional study among community dwelling older adults aged 50 years and above. Self-administered questionnaires on history of falls in the previous 12 months, physical assessment and computerized and clinical measures of balance were assessed on a single occasion. Results: Forty nine (31.0%) participants fell, with 4.4% reported having multiple falls within the previous 12 months. Slips were the most prevalent cause of falls, accounting for 49% of falls. More than half (54.5%) of falls occurred in the afternoon while participants walked inside the home (32.7%), outside home (30.6%), and 36.7% were in community areas. More than half of respondents were identified as having turning instability. Step Test, turn sway, depression, physical activity level and edge contrast sensitivity were significantly worse for fallers (p < 0.05). Multiple logistic regression analysis showed that turning performance, visual acuity and back pain were significantly associated with falls risk, accounting for 72% of the variance of risk factors for falls among studied population. Conclusion: Falls are common among community dwelling older Malaysians. The findings provide information of falls and falls risk factors among community dwelling older adults in Malaysia. Future intervention studies should target locally identified falls risk factors. This study has highlighted the importance of instability during turning as an important fall risk factor.
Protein and peptide delivery to lungs by using advanced targeted drug delivery

Chellappan DK, Prasher P, Saravanan V, Vern Yee VS, Wen Chi WC, Wong JW, et al.

Chem Biol Interact, 2022 Jan 05;351:109706.
PMID: 34662570 DOI: 10.1016/j.cbi.2021.109706

The challenges and difficulties associated with conventional drug delivery systems have led to the emergence of novel, advanced targeted drug delivery systems. Therapeutic drug delivery of proteins and peptides to the lungs is complicated owing to the large size and polar characteristics of the latter. Nevertheless, the pulmonary route has attracted great interest today among formulation scientists, as it has evolved into one of the important targeted drug delivery platforms for the delivery of peptides, and related compounds effectively to the lungs, primarily for the management and treatment of chronic lung diseases. In this review, we have discussed and summarized the current scenario and recent developments in targeted delivery of proteins and peptide-based drugs to the lungs. Moreover, we have also highlighted the advantages of pulmonary drug delivery over conventional drug delivery approaches for peptide-based drugs, in terms of efficacy, retention time and other important pharmacokinetic parameters. The review also highlights the future perspectives and the impact of targeted drug delivery on peptide-based drugs in the coming decade.
Fulltext Effects of the COVID-19 Pandemic on Psychological Status and Quality of Life among Participants of the Malaysian Elders Longitudinal Research (MELoR) Study

Aravindhan K, Morgan K, Mat S, Hamid TA, Ibrahim R, Saedon NI, et al.

Ann Geriatr Med Res, 2022 Dec;26(4):354-362.
PMID: 36503184 DOI: 10.4235/agmr.22.0134

BACKGROUND: This study aimed to identify differences in quality of life before and during the coronavirus disease 2019 (COVID-19) pandemic and determine the influence of psychological status on the observed changes in the quality of life among older adults.
METHODS: The Malaysian Elders Longitudinal Research study recruited Malaysians aged at least 55 years from 2013 to 2015. Follow-ups were conducted between September and December 2020. Quality of life was determined using the 12-item Control, Autonomy, Self-Realization, and Pleasure questionnaire. Psychological statuses were assessed using the 21-item Depression Anxiety and Stress Scale, 15-item Geriatric Depression Scale, and 4-item Perceived Stress Scale.
RESULTS: This study included data from 706 individuals (mean age, 73.3±6.8 years). We observed reduced quality of life and increased anxiety among 402 (43.1%) and 144 (20.9%) participants, respectively. Participants felt "out of control," "left out," "short of money," and "life was full of opportunities" less often and could "please themselves with what they did" more often. Multivariate analyses revealed increased depression, anxiety, and stress as independent risk factors for reduced quality of life.
CONCLUSION: Individuals with increased depression, anxiety, and stress levels during the pandemic experienced a worsening quality of life. Thus, the development of effective strategies to address the mental health of older adults is needed to mitigate the effects of the pandemic on their quality of life.
Fulltext Transformation of Children's Paintings into Public Art to Improve Public Spaces and Enhance People's Happiness

Luo N, Ibrahim R, Abidin SZ

Int J Environ Res Public Health, 2022 Dec 14;19(24).
PMID: 36554658 DOI: 10.3390/ijerph192416780

Characteristics of children's paintings have been suggested considered for application in public art since they are known to positively evoke a sense of well-being when people see them. This study aims to understand the impact of artistic features from children's drawings on people's well-being; then analyzing the adaptive design principles of 3D public art featuring children's paintings on people's happiness; and finally, exploring the influence of 3D public art featuring children's paintings on improving public spaces and enhancing people's well-being. The results lead to proposing a conceptual framework for public artworks in public spaces for improving people's happiness. The proposed conceptual framework recommends that, by applying the visual and thinking features of children's paintings to public art, artists can design high-quality artworks suitable for a city, which could improve people's happiness in public spaces. This study recommends further research into how public art can promote public spaces and shape the urban culture. It contributes to enhancing the quality of public art and public spaces, and inspiring a sense of well-being among citizens through the use of appropriate public art. The results are significant because they will help artists to create more high-quality public artworks for urban public spaces in order to evoke people's happiness.
Fulltext Modeling of high voltage induction motor cooling system using linear regression mathematical models

Rosli NS, Ibrahim R, Ismail I, Omar M

PLoS One, 2022;17(11):e0276142.
PMID: 36445921 DOI: 10.1371/journal.pone.0276142

Achieving reliable power efficiency from a high voltage induction motor (HVIM) is a great challenge, as the rigorous control strategy is susceptible to unexpected failure. External cooling is commonly used in an HVIM cooling system, and it is a vital part of the motor that is responsible for keeping the motor at the proper operating temperature. A malfunctioning cooling system component can cause motor overheating, which can destroy the motor and cause the entire plant to shut down. As a result, creating a dynamic model of the motor cooling system for quality performance, failure diagnosis, and prediction is critical. However, the external motor cooling system design in HVIM is limited and separately done in the past. With this issue in mind, this paper proposes a combined modeling approach to the HVIM cooling system which consists of integrating the electrical, thermal, and cooler model using the mathematical model for thermal performance improvement. Firstly, the development of an electrical model using an established mathematical model. Subsequently, the development of a thermal model using combined mathematical and linear regression models to produce motor temperature. Then, a modified cooler model is developed to provide cold air temperature for cooling monitoring. All validated models are integrated into a single model called the HVIM cooling system as the actual setup of the HVIM. Ultimately, the core of this modeling approach is integrating all models to accurately represent the actual signals of the motor cooler temperature. Then, the actual signals are used to validate the whole structure of the model using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) analysis. The results demonstrate the high accuracy of the HVIM cooling system representation with less than 1% error tolerance based on the industrial plant experts. Thus, it will be helpful for future utilization in quality maintenance, fault identification and prediction study.
Fulltext Application of Neural Network in Predicting H2S from an Acid Gas Removal Unit (AGRU) with Different Compositions of Solvents

Hakimi M, Omar MB, Ibrahim R

Sensors (Basel), 2023 Jan 16;23(2).
PMID: 36679816 DOI: 10.3390/s23021020

The gas sweetening process removes hydrogen sulfide (H2S) in an acid gas removal unit (AGRU) to meet the gas sales' specification, known as sweet gas. Monitoring the concentration of H2S in sweet gas is crucial to avoid operational and environmental issues. This study shows the capability of artificial neural networks (ANN) to predict the concentration of H2S in sweet gas. The concentration of N-methyldiethanolamine (MDEA) and Piperazine (PZ), temperature and pressure as inputs, and the concentration of H2S in sweet gas as outputs have been used to create the ANN network. Two distinct backpropagation techniques with various transfer functions and numbers of neurons were used to train the ANN models. Multiple linear regression (MLR) was used to compare the outcomes of the ANN models. The models' performance was assessed using the mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2). The findings demonstrate that ANN trained by the Levenberg-Marquardt technique, equipped with a logistic sigmoid (logsig) transfer function with three neurons achieved the highest R2 (0.966) and the lowest MAE (0.066) and RMSE (0.122) values. The findings suggested that ANN can be a reliable and accurate prediction method in predicting the concentration of H2S in sweet gas.
Fulltext Validating an Instrument for Measuring Newly Graduated Nurses' Adaptation

Baharum H, Ismail A, Awang Z, McKenna L, Ibrahim R, Mohamed Z, et al.

Int J Environ Res Public Health, 2023 Feb 06;20(4).
PMID: 36833559 DOI: 10.3390/ijerph20042860

A long-established approach, Confirmatory Factor Analysis (CFA) is used to validate measurement models of latent constructs. Employing CFA can be useful for assessing the validity and reliability of such models. The study adapted previous instruments and modified them to suit the current setting. The new measurement model is termed NENA-q. Exploratory factor analysis (EFA) revealed the instruments of the NENA-q model formed a construct of the second order with four dimensions, namely organizational contribution (OC), academic institution contribution (AIC), personality traits (PT), and newly employed nurses' adaptation (NENA). Researchers administered the questionnaires to a sample of 496 newly employed nurses working in hospitals under the Ministry of Health (MOH) for the confirmation of the extracted dimensions. The study performed a two-step CFA procedure to validate NENA-q since the model involves higher-order constructs. The first step was individual CFA, while the second step was pooled CFA. The validation procedure through confirmatory factor analysis (CFA) found the model achieved the threshold of construct validity through fitness index assessment. The model also achieved convergent validity when all average variance extracted (AVE) exceeded the threshold value of greater than 0.5. The assessment of the composite reliability (CR) value indicates all CR values exceeded the threshold value of 0.6, which indicates the construct achieved composite reliability. Overall, the NENA-q model consisting of the OC construct, AIC construct, PT construct, and NENA construct for CFA has met the fitness indexes and passed the measurements of the AVE, CR, and normality test. Once the measurement models have been validated through CFA procedure, the researcher can assemble these constructs into structural model and estimate the required parameter through structural equation modelling (SEM) procedure.
Success factors in adaptation of newly graduated nurses: a scoping review

Baharum H, Ismail A, McKenna L, Mohamed Z, Ibrahim R, Hassan NH

BMC Nurs, 2023 Apr 18;22(1):125.
PMID: 37069647 DOI: 10.1186/s12912-023-01300-1

BACKGROUND: Difficulties in adapting to the workplace can affect newly graduated nurses' transition. Such nurses must adapt quickly, as it can affect their future career prospects. Therefore, this review aimed to identify the success factors that promote newly graduated nurses' effective transition and adaptation.
METHODS: The Joanna Briggs Institute scoping reviews methodology was used. Data were extracted from MEDLINE, Scopus, EBSCOhost, and Web of Science publications published between 2011 and 2020. A total of 23 articles were included in this review, which comprised qualitative, quantitative, and mixed methods primary research studies focusing on the contributing factors that aided newly graduated nurses' adaptation to the work environment during their transition period. Key emerging themes were identified with thematic analysis.
RESULTS: Three main themes were identified: (1) organisational contribution (social development, organisational culture, work characteristics, work readiness, work commitment, professional role), (2) personality traits (self-embodiment, personality masking, being proactive and confident), and (3) academic institutions (pre-entry knowledge and role of nursing faculty). Newly graduated nurses' adaptation should begin during nursing education, be supported by the workplace organisation, and driven by the nurse's personality. We determined that that the role of nursing education in aiding the provision of the required knowledge and actual clinical experiences to students profoundly affected developing nurses' self-confidence levels in delivering nursing care effectively. Additionally, a warm environment supported nurses emotionally and physically.
CONCLUSIONS: While organisations and educational institutions have undertaken numerous efforts to ensure that newly graduated nurses are adequately supported, the nurse's personality and values are also equally important to ease adaptation during the transition process. Academic and workplace programs designed for newly graduated nurses should apply and emphasise this knowledge to develop and strengthen their personalities and values, especially to increase confidence and promote proactive values that facilitate newly graduated nurses' rapid and effective adaptation to their new employment.
Fulltext Isolation of Vaginal Epithelial Cells: In Preparation of Autologous Vaginal Tissue Lining for Congenital Absence of Vagina Patients

Lih Yuan T, Sulaiman N, Nur Azurah AG, Maarof M, Razali RA, Koh B, et al.

Int J Mol Sci, 2023 May 15;24(10).
PMID: 37240142 DOI: 10.3390/ijms24108798

Infertility is a condition affecting women who are born with an underdeveloped or absent vagina, a birth defect known as congenital absence of the vagina. It is a rare disorder where the development of the Mullerian duct is obstructed by unidentified causes. The case is seldom reported due to the low prevalence and sparse epidemiology studies worldwide. A potential solution for the disorder is neovaginal creation with in vitro cultured vaginal mucosa. Limited studies have reported its application, but none are reproducible or specific regarding the established processes for acquiring vaginal epithelial cells from vaginal biopsies. These research gaps were adequately answered with an epidemiology study of inpatient details in Hospital Canselor Tuanku Muhriz, Malaysia, established methods and outcomes of vaginal tissue processing and isolation, and characterization of vaginal epithelial cells using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) and immunofluorescence assays. The reported evidence and speculation that the disorder arises because of a cellular transition event between epithelial and mesenchymal cells during the development of the Mullerian duct could be key in the creation of neovaginas using established culture procedures to improve surgical results and restore fertility.
Hidden bugs in a newly opened hospital: the distribution of skin microbiota among healthcare workers in a newly opened teaching hospital

Kamala Nathan M, Jasni AS, Zakariah SZ, Tengku Jamaluddin TZM, Mohd Isa M, Ibrahim R

J Med Microbiol, 2023 Jul;72(7).
PMID: 37432079 DOI: 10.1099/jmm.0.001732

Background. Skin is a reservoir for millions of micro-organisms, all of which make up the skin microbiota. Hospitals have been identified as a favourable environment for transmitting micro-organisms and thus, it is important to know the distribution of skin microbiota among healthcare workers (HCWs), as such findings may provide baseline information for the distribution of skin microbiota in hospitals.Hypothesis. There is no significant association between the factors (age, gender, type of skin microenvironment, hand hygiene practices, usage of skin care products, current healthcare practices and previous workplace) and the distribution of the skin microbiota among HCWs.Aim. The study aims to identify type of skin microbiota and associated factors (age, gender, type of skin microenvironment, hand hygiene practices, use of skincare products, current healthcare practice, and previous workplace) that influence the growth of skin microbiota.Method. About 102 bacterial isolates were obtained from the skin of 63 healthcare workers in a newly opened teaching hospital, namely Hospital Pengajar Universiti Putra Malaysia (HPUPM). All isolated bacteria were subjected to phenotypic identification according to standard microbiological procedures.Results. The most common isolated skin microbiota were Gram-positive bacteria (84.3%), followed by Gram-negative bacteria (15.7%). A Chi-square test of independence was used to analyse the above factors and there was a significant association between the type of skin microenvironment and the distribution of skin microbiota (P=0.03) (type of skin microenvironment influences the distribution of skin microbiota).Conclusion. Coagulase-negative Staphylococcus spp. was the most common bacteria isolated from the skin of the healthcare workers. Even though coagulase-negative staphylococci (CoNS) are low pathogenic bacteria, but it may cause serious infection in high risk group of patients. Therefore, it is important to emphasize on the good hand hygiene practices and implement strict infection control measures to minimize the risk of HAI in newly opened hospitals.
Fulltext A Novel Hybrid Harris Hawk-Arithmetic Optimization Algorithm for Industrial Wireless Mesh Networks

Devan PAM, Ibrahim R, Omar M, Bingi K, Abdulrab H

Sensors (Basel), 2023 Jul 07;23(13).
PMID: 37448072 DOI: 10.3390/s23136224

A novel hybrid Harris Hawk-Arithmetic Optimization Algorithm (HHAOA) for optimizing the Industrial Wireless Mesh Networks (WMNs) and real-time pressure process control was proposed in this research article. The proposed algorithm uses inspiration from Harris Hawk Optimization and the Arithmetic Optimization Algorithm to improve position relocation problems, premature convergence, and the poor accuracy the existing techniques face. The HHAOA algorithm was evaluated on various benchmark functions and compared with other optimization algorithms, namely Arithmetic Optimization Algorithm, Moth Flame Optimization, Sine Cosine Algorithm, Grey Wolf Optimization, and Harris Hawk Optimization. The proposed algorithm was also applied to a real-world industrial wireless mesh network simulation and experimentation on the real-time pressure process control system. All the results demonstrate that the HHAOA algorithm outperforms different algorithms regarding mean, standard deviation, convergence speed, accuracy, and robustness and improves client router connectivity and network congestion with a 31.7% reduction in Wireless Mesh Network routers. In the real-time pressure process, the HHAOA optimized Fractional-order Predictive PI (FOPPI) Controller produced a robust and smoother control signal leading to minimal peak overshoot and an average of a 53.244% faster settling. Based on the results, the algorithm enhanced the efficiency and reliability of industrial wireless networks and real-time pressure process control systems, which are critical for industrial automation and control applications.
Factors Associated with Sarcopenia among Elderly Individuals Residing in Community and Nursing Home Settings: A Systematic Review with a Meta-Analysis

Liu J, Zhu Y, Tan JK, Ismail AH, Ibrahim R, Hassan NH

Nutrients, 2023 Oct 11;15(20).
PMID: 37892411 DOI: 10.3390/nu15204335

To investigate the factors associated with sarcopenia in elderly individuals residing in nursing homes and community settings, we conducted a systematic search of databases, including MEDLINE, EMBASE, PubMed, Web of Science and Cochrane, up to May 2023. We incorporated a total of 70 studies into our analysis. Our findings revealed that the prevalence of sarcopenia in nursing homes ranged from 25% to 73.7%, while in community settings, it varied from 5.2% to 62.7%. The factors associated with sarcopenia in both nursing homes and community settings included male gender, BMI, malnutrition, and osteoarthritis. In community settings, these factors comprised age, poor nutrition status, small calf circumference, smoking, physical inactivity, cognitive impairment, diabetes, depression and heart disease. Currently, both the European Working Group on Sarcopenia in Older People (EWGSOP) and the Asian Working Group for Sarcopenia (AWGS) standards are widely utilized in nursing homes and community settings, with the EWGSOP standard being more applicable to nursing homes. Identifying factors associated with sarcopenia is of paramount significance, particularly considering that some of them can be modified and managed. Further research is warranted to investigate the impact of preventive measures on these factors in the management of sarcopenia among elderly individuals residing in nursing homes and community settings.
Fulltext A novel fractional-order dead-time compensating controller for the wireless networks

Devan PAM, Ibrahim R, Omar M, Bingi K, Nagarajapandian M, Abdulrab H

Sci Rep, 2023 Oct 17;13(1):17658.
PMID: 37848485 DOI: 10.1038/s41598-023-44515-7

Wireless technology is becoming increasingly critical in industrial environments in recent years, and the popular wireless standards are WirelessHART, ZigBee, WLAN and ISA100.11a, commonly used in closed-loop systems. However, wireless networks in closed-loop control experience packet loss or drops, system delay and data threats, leading to process instability and catastrophic system failure. To prevent such issues, it is necessary to implement dead-time compensation control. Traditional techniques like model predictive and predictive PI controllers are frequently employed. However, these methods' performance is sluggish in wireless networks, with processes having long dead times and set-point variations, potentially affecting network and process performance. Therefore, this paper proposes a fractional calculus-based predictive PI compensator for wired and wireless networks in the process control industries. The proposed technique has been simulated and evaluated on industrial process models, including pressure, flow, and temperature, where measurement and control are carried out wirelessly. The wireless network's performance has been evaluated based on packet loss, reduced throughput, and increased system latency. The proposed compensator outperformed traditional methods, demonstrating superior set-point tracking, disturbance rejection, and delay compensation characteristics in the performance evaluations of the first, second, and third-order systems. Overall, the findings indicate that the proposed compensator enhances wireless networks' performance in the process control industry and improves system stability and reliability by reducing almost half of the overshoot and settling an average of 8.3927% faster than the conventional techniques in most of the systems.
Fulltext Risk perception and its predictors towards type 2 diabetes mellitus among students in Universiti Kebangsaan Malaysia

Mohd Rawi SB, Low Yan Fay Z, Muhammad Khairus NFF, Annandan SK, Mohd Sani N, Mat Termizi MH, et al.

Medicine (Baltimore), 2023 Oct 27;102(43):e35520.
PMID: 37904385 DOI: 10.1097/MD.0000000000035520

Type 2 diabetes mellitus (T2DM) has become increasingly prevalent among young adults. Risk perception is believed to be an important determinant of preventive health behaviors; however, young adults remain unaware of the benefits. The current study aimed to examine Malaysian public university students' perceived risk of developing T2DM and its predictors. This cross-sectional study involved a total of 1078 healthy students at Universiti Kebangsaan Malaysia (UKM). The validated Malay version of the Questionnaire on Risk Perception of Developing Non-Communicable Diseases in Malaysia was used to assess their perceived risk of developing T2DM in the future. Multiple logistic regression was used to analyze the data regarding the predictors of perceived risk to obtain the final model after controlling the potential confounders. . It was found that the majority of respondents (83.8%) perceived low risk of developing T2DM. Results from the multiple logistic regression indicated that respondents from non-health related faculties (OR, 1.71: 95% CI 1.162, 2.515), smoking (OR, 8.43: 95% CI 1.108, 64.130), consume fast food ≥ 3 times/month (OR, 1.56: 95% CI 1.104, 2.207), and snacking ≥ 3 times/week (OR, 1.79: 95% CI 1.262, 2.550) were significant positive predictors while family history of diabetes was a negative predictor (OR, 0.50: 95% CI 0.350, 0.695). Students who self-rated themselves as practising healthy lifestyles and actively seeking health information perceived a low risk of developing diabetes in the future. . The findings indicate that students perceived their risk as low even though they have the risk. This creates an urgent need to emphasize the necessity of diabetes prevention education, especially on socio-behavioral factors, to address the widespread misunderstandings among university students regarding diabetes risk factors to reduce diabetes incidence.
Cognitive frailty and its association with depression, anxiety and stress during the COVID-19 pandemic among older adults in the transforming cognitive frailty into later-life self-sufficiency (AGELESS) study

Aravindhan K, Morgan K, Mat S, Hamid TA, Ibrahim R, Saedon NI, et al.

Psychogeriatrics, 2023 Nov;23(6):1071-1082.
PMID: 37752079 DOI: 10.1111/psyg.13031

BACKGROUND: Cognitive frailty describes the co-occurrence of cognitive impairment and physical frailty and is classified into reversible and irreversible phenotypes. Data on the impact of COVID-19 pandemic imposed lockdowns, locally known as the Movement Control Order (MCO), on the psychological status of cognitively frail older adults remain scarce. Therefore, this study aimed to determine the relationship between depression, anxiety, stress and cognitive frailty among older adults during the MCO.
METHOD: Participants aged above 60 years from three ageing cohorts in Malaysia were interviewed virtually. The Fatigue, Resistance, Ambulation, Illness and Loss of Weight scale, blind Montreal Cognitive Assessment, 15-item Geriatric Depression Scale, anxiety subscale of Depression, Anxiety and Stress Scale and four-item Perceived Stress Scale measured frailty, mild cognitive impairment (MCI), depression, anxiety and stress, respectively.
RESULTS: Cognitive frailty data were available for 870 participants, age (mean ± SD) = 73.44 ± 6.32 years and 55.6% were women. Fifty-seven (6.6%) were robust, 24 (2.8%) had MCI, 451 (51.8%) were pre-frail, 164 (18.9%) were pre-frail+MCI, 119 (13.7%) were frail and 55 (6.3%) were frail+MCI. There were significant differences in depression and anxiety scores between the controlled MCO and recovery MCO. Using multinomial logistic regression, pre-frail (mean difference (95% confidence interval, CI) = 1.16 (0.932, 1.337), frail (1.49 (1.235, 1.803) and frail+MCI (1.49 (1.225, 1.822)) groups had significantly higher depression scores, frail (1.19 (1.030, 1.373)) and frail+MCI (1.24 (1.065, 1.439)) had significantly higher anxiety scores and pre-frail (1.50 (1.285, 1.761)), frail (1.74 (1.469, 2.062)) and frail+MCI (1.81 (1.508, 2.165)) had significantly higher stress scores upon adjustments for the potential confounders. The MCO was a potential confounder in the relationship between depression and prefrail+MCI (1.08 (0.898, 1.340)).
CONCLUSION: Frail individuals with or without MCI had significantly higher depression, anxiety and stress than those who were robust. Increased depression and stress were also observed in the pre-frail group. Interventions to address psychological issues in older adults during the COVID-19 pandemic could target prefrail and frail individuals and need further evaluation.
A thematic review on therapeutic toys and games for the elderly with Alzheimer's disease

You D, Hasley Bin Ramli S, Ibrahim R, Hibatullah Bin Romli M, Li Z, Chu Q, et al.

Disabil Rehabil Assist Technol, 2024 Feb 01.
PMID: 38299880 DOI: 10.1080/17483107.2023.2299713

PURPOSE: Alzheimer's disease (AD) is a common and devastating neurological ailment that affects millions of the elderly worldwide. Therapeutic toys and games have emerged as potential non-pharmacological interventions for AD. However, despite a growing number of documents on the subject, research on the future direction of therapeutic toys and games for AD remains scarce. To address this gap, this study aims to (1) map the future trends of therapeutic toys and games for AD and (2) identify the categories and design characteristics.
MATERIALS AND METHODS: Using a thematic review framework, a systematic literature search was conducted in two electronic databases (Scopus and WoS) using established criteria. Thematic analysis was done using ATLAS.ti 23 to identify prominent themes, patterns and trends.
RESULTS: A total of 180 documents were found. Twenty-five articles met the inclusion criteria. A thematic review of these 25 articles identified 13 initial codes, which were been clustered into four themes: detection and evaluation; intervention; toy/game category; and design characteristics. The word "Cognitive" appears most frequently in documents according to word cloud.
CONCLUSIONS: Therapeutic toys and games are used to detect and as an intervention for AD. Most of the current studies focused on specific cognitive functions. More research is needed about play therapy for neuropsychiatric symptoms. This thematic review also proposed a conceptual framework for designing toys and games tailored to the needs of the elderly with AD, offering valuable insights to future researchers focusing on this domain.
Fulltext Analysis of web design visual element attention based on user educational background

Qing H, Ibrahim R, Nies HW

Sci Rep, 2024 Feb 26;14(1):4657.
PMID: 38409430 DOI: 10.1038/s41598-024-54444-8

The evolution of Internet technology has led to an increase in online users. This study focuses on the pivotal role of visual elements in web content conveyance and their impact on user browsing behavior. Therefore, the use of visual elements in web design based on big data has aroused widespread concern among web designers, they apply visual elements to their web design works to make the web more attractive. This study examines the composition and distribution characteristics of key visual elements identified through user behavior data in a big data environment and discusses the use of visual elements in web design in the era of network economy. In addition, this paper issued 200 questionnaires to investigate the degree of attention to visual elements in web pages for users of different occupations and different educational backgrounds. Our survey indicated that visual elements captured the attention of 41% of corporate employees, whereas a mere 1% of social welfare workers focused on web content; 36% of undergraduates pay attention to visual elements of web pages, but only 5% and 4% of postgraduates and doctoral degrees and above. Therefore, the visual elements of the designed web page need to conform to the user's cultural background and professional background.

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