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  1. Harun MA, Safari MJS, Gul E, Ab Ghani A
    Environ Sci Pollut Res Int, 2021 Oct;28(38):53097-53115.
    PMID: 34023993 DOI: 10.1007/s11356-021-14479-0
    The investigation of sediment transport in tropical rivers is essential for planning effective integrated river basin management to predict the changes in rivers. The characteristics of rivers and sediment in the tropical region are different compared to those of the rivers in Europe and the USA, where the median sediment size tends to be much more refined. The origins of the rivers are mainly tropical forests. Due to the complexity of determining sediment transport, many sediment transport equations were recommended in the literature. However, the accuracy of the prediction results remains low, particularly for the tropical rivers. The majority of the existing equations were developed using multiple non-linear regression (MNLR). Machine learning has recently been the method of choice to increase model prediction accuracy in complex hydrological problems. Compared to the conventional MNLR method, machine learning algorithms have advanced and can produce a useful prediction model. In this research, three machine learning models, namely evolutionary polynomial regression (EPR), multi-gene genetic programming (MGGP) and M5 tree model (M5P), were implemented to model sediment transport for rivers in Malaysia. The formulated variables for the prediction model were originated from the revised equations reported in the relevant literature for Malaysian rivers. Among the three machine learning models, in terms of different statistical measurement criteria, EPR gives the best prediction model, followed by MGGP and M5P. Machine learning is excellent at improving the prediction distribution of high data values but lacks accuracy compared to observations of lower data values. These results indicate that further study needs to be done to improve the machine learning model's accuracy to predict sediment transport.
    Matched MeSH terms: Regression Analysis
  2. Bujang MA, Kuan PX, Tiong XT, Saperi FE, Ismail M, Mustafa FI, et al.
    J Diabetes Res, 2018;2018:4638327.
    PMID: 30116741 DOI: 10.1155/2018/4638327
    Aims: This study aims to determine the all-cause mortality and the associated risk factors for all-cause mortality among the prevalent type 2 diabetes mellitus (T2DM) patients within five years' period and to develop a screening tool to determine high-risk patients.

    Methods: This is a cohort study of T2DM patients in the national diabetes registry, Malaysia. Patients' particulars were derived from the database between 1st January 2009 and 31st December 2009. Their records were matched with the national death record at the end of year 2013 to determine the status after five years. The factors associated with mortality were investigated, and a prognostic model was developed based on logistic regression model.

    Results: There were 69,555 records analyzed. The mortality rate was 1.4 persons per 100 person-years. The major cause of death were diseases of the circulatory system (28.4%), infectious and parasitic diseases (19.7%), and respiratory system (16.0%). The risk factors of mortality within five years were age group (p < 0.001), body mass index category (p < 0.001), duration of diabetes (p < 0.001), retinopathy (p = 0.001), ischaemic heart disease (p < 0.001), cerebrovascular (p = 0.007), nephropathy (p = 0.001), and foot problem (p = 0.001). The sensitivity and specificity of the proposed model was fairly strong with 70.2% and 61.3%, respectively.

    Conclusions: The elderly and underweight T2DM patients with complications have higher risk for mortality within five years. The model has moderate accuracy; the prognostic model can be used as a screening tool to classify T2DM patients who are at higher risk for mortality within five years.
    Matched MeSH terms: Regression Analysis
  3. Talwar P, Abd Rahman MF
    ASEAN Journal of Psychiatry, 2015;16(2):232-240.
    MyJurnal
    This study aims to assess the factor structure and reliability of the General Health Questionnaire (GHQ-12). Additionally, the study also attempts to evaluate the psychological well-being among university students using the GHQ-12 scale and thereby determine a relationship between select demographic variables and well-being. Methods: An exploratory cross-sectional survey was conducted among undergraduate students of a public university in Sarawak, Malaysia. A self administered questionnaire consisting of the demographic aspects and the GHQ 12 scale were utilized to assess the well-being of students, who were selected by convenience sampling technique. Results: Factorability of the GHQ-12 was examined and a three-factor model explaining 55% total variance was found to be the best fit. Internal consistency of the scale was 0.78, which is within the acceptable range. The results also suggest that considerable proportion (57%) of students had psychological distress. Participants who were susceptible to psychological distress in the present study were identified as students from low income families, with poor social support, in a relationship with partner as well as the student with Hindu’s religion and male students. By multiple regression analysis, variables that significantly predicted psychological distress were gender; income; area of residence; relationship with parents; negative life events; smoking; drinking and event with the overall model fit were 34%. Conclusion: Based on these findings, it may be foreseen that if prompt intervention is not provided to students in distress, they may be susceptible to depression, anxiety and stress. The findings have implications for teachers and counsellors, who are in a position to influence a wide range of students and provide support to improve the psychological well-being of students.
    Matched MeSH terms: Regression Analysis
  4. Basri, M.N., Janattul, A.J., Azrina, M.R., Abdul Hadi, M.
    MyJurnal
    Introduction: Our objectives are to identify the incidence of hypophosphatemia and the associated risk factors. We also want to establish intravenous replacement therapy that is effective for ICU patients. Methods: A prospective observational study assessing adults admitted to ICU in between March and May 2009. All patients without baseline phosphate level and renal failure were excluded. They were evaluated for the occurrence of common risk factors. Association with independent variables that includes age, gender and BMI were verified. Evaluation of IV replacement therapy was done in the treated patients. Results: From 50 patients that were reviewed, nine were excluded. There were 66% male and 34% female with mean age 46.88±17.89. The mean ICU stay was 8.00±6.41 days. The incidence of hypophosphatemia was 29% (n=12/41). Gender and
    creatinine clearance was found to be significantly different between normophosphatemia and
    hypophosphatemia patients. There was no significant association for each potential risk factor and the number of risk factors (≥3) with the incidence of hypophosphatemia. Multi-linear regression analysis showed that lactate, creatinine clearance and pH were significant predictors to the serum levels. A significant difference of mean serum phosphate was seen after repletion by total dose of 10, 20 and 40 mmols in the treatment subgroups. Conclusions: The incidence of hypophosphatemia in our ICU was high and comparable to previous studies. None of the commonly reported risk factors is associated with hypophosphatemia in this studied population. Among all significant correlated variables, only pH was found to be a significant predictor for serum phosphate. Baseline phosphate level may guide the initial replacement dose to prevent delay in normalization of serum levels.
    Matched MeSH terms: Regression Analysis
  5. Amir Hamzah A, Abu Bakar Z, Abdul Sani N, Tan JK, Ahmad Damanhuri M, Makpol S, et al.
    Sains Malaysiana, 2016;45:1371-1380.
    Higher level of education is associated with better cognitive performance and lower risk of developing dementia. However, the effect of education on cognitive performance varies across different cognitive domains and in different populations. The aim of this study was to determine the relationship between education and performance of different cognitive domains among healthy Malay adults. A total of 53 individuals aged 29 to 77 years participated in a battery of neurophysiological tests consisting of Mini-Mental State Examination, Montreal Cognitive Assessment, digit span, visual reproduction and digit symbol speed test (DSST). Blood test was performed for each participant to obtain their biochemical profile. Educational level was divided into level 1 (PMR), level 2 (SPM), level 3 (STPM), level 4 (Diploma) and level 5 (Degree). Simple linear regression indicated that years of education was positively associated with scores of delayed visual reproduction (b=1.348, p=0.002) and DSST (b=3.257, p=0.012). However, scores of all the tests were not significantly different among different levels of education after controlling for age, gender and blood test profile by ANCOVA. Multiple linear regression analysis showed that MMSE score was associated with red cell distribution width (b=-0.628, p=0.005), age (b=-0.119, p<0.001) and there was interaction between high density lipoprotein (HDL) with age (b=0.047, p<001). MoCA score was associated with age (b=-0.121, p<0.001), gender (male compared to female, b=1.870, p=0.020) and HDL (b=1.681, p=0.047). Age was associated with backward digit span (b=-0098, p<0.001) and immediate visual reproduction (b=-0.348, p<0.001), resp. Delayed visual reproduction was associated with age (b=-0.323, p<0.001) and potassium level (b=-4.471, p=0.016). DSST was associated with age (b=-0.911, p<0.001) and alanine aminotransferase (b=-0.754, p=0.002). The lack of association between educational level and cognitive performance after adjusting for confounders in this study maybe due to multiple factors influencing cognitive performance and further studies with a larger sample size are needed to further identify the factors involved.
    Keywords: Cognitive performance; education; healthy Malay adults
    ABSTRAK
    Tahap pendidikan yang tinggi telah dikaitkan dengan prestasi kognitif yang lebih baik dan risiko perkembangan dementia yang lebih rendah. Namun, kesan pendidikan terhadap prestasi kognitif berbeza antara domain kognitif dan populasi yang berlainan. Kajian ini bertujuan untuk menentukan hubungan antara pendidikan dengan prestasi pada domain kognitif yang berlainan pada individu dewasa Melayu yang sihat. Seramai 53 individu yang berumur antara 29 hingga 77 tahun telah menyertai ujian neuropsikologi yang terdiri daripada Pemeriksaan Keadaan Mental Mini, Penilaian Kognitif Montreal, digit span, penghasilan semula visual dan ujian kelajuan simbol digit (DSST). Tahap pendidikan dibahagikan kepada tahap 1 (PMR), tahap 2 (SPM), tahap 3 (STPM), tahap 4 (Diploma) dan tahap 5 (Ijazah Sarjana Muda). Regresi linear mudah menunjukkan bahawa tahap pendidikan berhubung kait secara positif dengan penghasilan semula visual tertunda (b=1.348, p=0.002) dan DSST (b=3.257, p=0.012). Namun, semua skor ujian menjadi tidak berbeza antara tahap pendidikan yang berbeza selepas mengambil kira kesan konpengasas dengan menggunakan ANCOVA. Regresi linear berganda menunjukkan bahawa skor MMSE berhubung kait dengan lebar taburan sel merah (b=-0.628, p=0.005), umur (b=-0.119, p<0.001) dan interaksi antara lipoprotein ketumpatan tinggi (HDL) dan umur (b=0.047, p<001). MoCA didapati berhubung kait dengan umur (b=-0.121, p<0.001), jantina (lelaki berbanding perempuan, b=1.870, p=0.020) dan HDL (b=1.681, p=0.047). Umur juga berhubung kait dengan digit span ke belakang (b=-0098, P<0.001) dan penghasilan semula visual segera (b=-0.348, p<0.001). Penghasilan semula visual tertunda berhubung kait dengan umur (b=-0.323, p<0.001) dan tahap kalium (b=-4.471, p=0.016). DSST berhubung kait dengan umur (b=-0.911, p<0.001) dan alanin aminotransferase (b=-0.754, p=0.002). Hubungan antara tahap pendidikan dan prestasi kognitif tidak dikesan selepas mengambil kira kesan konpengasas yang mencadangkan bahawa prestasi kognitif mungkin dipengaruhi oleh pelbagai faktor dan kajian lanjut dengan bilangan sampel yang lebih besar diperlukan untuk mengenal pasti faktor ini.
    Matched MeSH terms: Regression Analysis
  6. Ebrahim Jahanshiri, Taher Buyong, Abdul Rashid Mohd. Shariff
    MyJurnal
    Mass valuation of properties is important for purposes like property tax, price indices construction, and understanding market dynamics. There are several ways that the mass valuation can be carried out. This paper reviews the conventional MRA and several other advanced methods such as SAR, Kriging, GWR, and MWR. SAR and Kriging are good for modeling spatial dependence while GWR and MWR are good for modeling spatial heterogeneity. The difference between SAR and Kriging is the calculation of weights. Kriging weights are based on the spatial dependence or so called the semi-variogram analysis of the price data whereas the weights in SAR are based on the spatial contiguity between the sample data. MWR and GWR are special types of regression where study region is subdivided into local sections to increase the accuracy of prediction through neutralizing the heterogeneity of autocorrelations. MWR assigns equal weights for observations within a window while GWR uses distance decay functions. The merits and drawbacks of each method are discussed.
    Matched MeSH terms: Regression Analysis
  7. Salimon J, Salih N, Abdullah BM
    J Biomed Biotechnol, 2012;2012:693848.
    PMID: 22346338 DOI: 10.1155/2012/693848
    Linoleic acid (LA) is converted to per-carboxylic acid catalyzed by an immobilized lipase from Candida antarctica (Novozym 435). This per-carboxylic acid is only intermediate and epoxidized itself in good yields and almost without consecutive reactions. Monoepoxide linoleic acid 9(12)-10(13)-monoepoxy 12(9)-octadecanoic acid (MEOA) was optimized using D-optimal design. At optimum conditions, higher yield% (82.14) and medium oxirane oxygen content (OOC) (4.91%) of MEOA were predicted at 15 μL of H(2)O(2), 120 mg of Novozym 435, and 7 h of reaction time. In order to develop better-quality biolubricants, pour point (PP), flash point (FP), viscosity index (VI), and oxidative stability (OT) were determined for LA and MEOA. The results showed that MEOA exhibited good low-temperature behavior with PP of -41(°)C. FP of MEOA increased to 128(°)C comparing with 115(°)C of LA. In a similar fashion, VI for LA was 224 generally several hundred centistokes (cSt) more viscous than MEOA 130.8. The ability of a substance to resist oxidative degradation is another important property for biolubricants. Therefore, LA and MEOA were screened to measure their OT which was observed at 189 and 168(°)C, respectively.
    Matched MeSH terms: Regression Analysis
  8. Yusof MI, Hassan MN, Abdullah MS
    Malays Orthop J, 2018 Mar;12(1):21-25.
    PMID: 29725508 MyJurnal DOI: 10.5704/MOJ.1803.004
    Introduction: The vertical diameter of the foramen is dependent upon the vertical diameter of the corresponding intervertebral disc. A decrease in disc vertical diameter has direct anatomic consequences to the foraminal diameter and area available for the nerve root passing through it. This study is to establish the relationship amongst the intervertebral disc vertical diameter, lateral foramen diameters and nerve root compression in the lumbar vertebra. Materials and Methods: Measurements of the study parameters were performed using sagittal MRI images. The parameters studied were: intervertebral disc vertical diameter (DVD), foraminal vertical diameter (FVD), foraminal transverse diameter (FTD) and nerve root diameter (NRD) of both sides. The relationship between the measured parameters were then analyzed. Results: A total of 62 MRI images were available for this study. Statistical analysis showed moderate to strong correlation between DVD and FVD at all the lumbar levels except at left L23 and L5S1 and right L3L4 and L4L5. Correlation between DVD and FTD were not significant at all lumbar levels. Regression analysis showed that a decrease of 1mm of DVD was associated with 1.3, 1.7, 3.3, 3.3 and 1.3mm reduction of FVD at L1L2, L2L3, L3L4, L4L5 and L5S1 respectively. Conclusion: Reduction of DVD was associated with reduction of FVD. However, FVD was relatively wide for the nerve root even with complete loss of DVD. FTD was much narrower than the FVD making it more likely to cause nerve root compression at the exit foramina. These anatomical details should be given consideration in treating patients with lateral canal stenosis.
    Matched MeSH terms: Regression Analysis
  9. Mohd Suan MA, Tan WL, Soelar SA, Ismail I, Abu Hassan MR
    Epidemiol Health, 2015;37:e2015017.
    PMID: 25868638 DOI: 10.4178/epih/e2015017
    OBJECTIVES: The goal of this study was to assess the relationship between intestinal obstruction and the prognosis of colorectal carcinoma.

    METHODS: Data pertaining to 4,501 colorectal carcinoma patients were extracted from the national colorectal registry and analysed. Survival analysis was performed using the Kaplan-Meier method. The log-rank test was used to compare the survival rate between patients with intestinal obstruction and those without intestinal obstruction. The p-values<0.05 were considered to indicate statistical significance. Simple Cox proportional hazards regression analysis was used to estimate the crude hazard ratio of mortality from colorectal cancer.

    RESULTS: Intestinal obstruction was reported in more than 13% of patients. The 3-year survival rate after treatment was 48.3% (95% confidence interval [CI], 43.9 to 52.8) for patients with intestinal obstruction (n=593) and 54.9% (95% CI, 53.1 to 56.6) for patients without intestinal obstruction (n=3,908). The 5-year survival rate for patients with intestinal obstruction was 37.3% (95% CI, 31.9 to 42.8), which was lower than that of patients without intestinal obstruction (45.6%; 95% CI, 43.5 to 47.7). After adjusting the hazard ratio for other prognostic variables, intestinal obstruction had a statistically significant negative correlation with the survival rate of colorectal cancer patients, with an adjusted hazard ratio of 1.22 (p=0.008).

    CONCLUSIONS: The presence of intestinal obstruction is associated with a lower survival rate among colorectal cancer patients.

    Matched MeSH terms: Regression Analysis
  10. Abdul Wahab MS, Abd Rahman S, Abu Samah R
    Heliyon, 2020 Nov;6(11):e05610.
    PMID: 33305039 DOI: 10.1016/j.heliyon.2020.e05610
    A two-level full factorial design was used to analyze several factors involved in PSF-GO-Pebax thin film nanocomposite membranes development. Permeate flux was chosen as a single response for four possible factors: Pebax selective layer concentration, amount of GO load to Pebax selective layer, Pebax-GO selective layer thickness, and amount of GO load to PSF substrate. The study is aimed at factors interaction and contribution towards the highest permeation flux via FFD and RSM approach. R2 obtained from the ANOVA is 0.9937 with Pebax concentration as the highest contributing factor. Pebax concentration-amount of GO load to PSF substrate is the only interaction contributing to the highest flux. A regression analysis concluded the study with model development and an optimized condition for the membrane design.
    Matched MeSH terms: Regression Analysis
  11. Nazif A, Mohammed NI, Malakahmad A, Abualqumboz MS
    Environ Sci Pollut Res Int, 2018 Jan;25(1):283-289.
    PMID: 29032528 DOI: 10.1007/s11356-017-0407-2
    The devastating health effects of particulate matter (PM10) exposure by susceptible populace has made it necessary to evaluate PM10 pollution. Meteorological parameters and seasonal variation increases PM10 concentration levels, especially in areas that have multiple anthropogenic activities. Hence, stepwise regression (SR), multiple linear regression (MLR) and principal component regression (PCR) analyses were used to analyse daily average PM10 concentration levels. The analyses were carried out using daily average PM10 concentration, temperature, humidity, wind speed and wind direction data from 2006 to 2010. The data was from an industrial air quality monitoring station in Malaysia. The SR analysis established that meteorological parameters had less influence on PM10 concentration levels having coefficient of determination (R 2) result from 23 to 29% based on seasoned and unseasoned analysis. While, the result of the prediction analysis showed that PCR models had a better R 2 result than MLR methods. The results for the analyses based on both seasoned and unseasoned data established that MLR models had R 2 result from 0.50 to 0.60. While, PCR models had R 2 result from 0.66 to 0.89. In addition, the validation analysis using 2016 data also recognised that the PCR model outperformed the MLR model, with the PCR model for the seasoned analysis having the best result. These analyses will aid in achieving sustainable air quality management strategies.
    Matched MeSH terms: Regression Analysis
  12. Okwuduba EN, Nwosu KC, Okigbo EC, Samuel NN, Achugbu C
    Heliyon, 2021 Mar;7(3):e06611.
    PMID: 33869848 DOI: 10.1016/j.heliyon.2021.e06611
    Provision of equitable access to university education is the primary goal of pre-university education. Academically weak students stand to benefit more from pre-university program. However, available literature on effectiveness of the program revealed that high percentage of students still fail pre-university courses. Although the role of psycho-emotional factors on student academic performance has been highlighted, mechanism through which psycho-emotional factors impact on academic performance of pre-university science students is still not clear to offer adequate insights for proper intervention program. Therefore, we examined the pre-university students' academic performance in sciences in relation to Emotional Intelligence (EI) (Interpersonal EI and Intrapersonal EI) and Self-directed Learning (SDL). Specifically, a correlational study design was conducted to measure and gauge the level of relationships amongst Interpersonal EI, Intrapersonal EI, SDL and academic performance of pre-university students. The participants were 443 Nigerian students enrolled in pre-university science program. Students' self-report on EI and SDL were gathered and analyzed using SPSS 26 and AMOS 24. Exploratory and confirmatory factor analysis were performed to determine cross-cultural validity of the instruments in the Nigerian context. After controlling for gender and age, the hierarchical regression analysis reveals that student academic performance was positively predicted by perceived Interpersonal and Intrapersonal EI, whereas self-directed learning has an inconsistent predictive impact at different steps in the model. Overall, the predictor variables were able to explain substantial proportion of students' academic performance in pre-university program. Insightful suggestions were made.
    Matched MeSH terms: Regression Analysis
  13. Syed Ahmad Muhajir Alhaddad Syed E, Nurul Hudani Md N, Agnis S
    The benefit mobile technology brings is not limited to learning and entertainment but it also modifies human aspect of social communication. Despite the high number of previous research available concerning smartphones, there is still a gap of research that needs to be addressed such as its effect towards social competence. As the social system becomes complex, communication technology evolves to ensure the social needs are accomplished. For this study, 236 students aged between 13-14 years old were recruited and given a set of questionnaire which comprised Mobile Phone Problem Use Scale, Social Competence Scale for Teenagers and Self Scoring Self-Control Scale. In this study, the researcher attempted to examine the effect of excessive smartphone usage on social competence with self-control as mediator. Regression analysis was used to estimate the effect between the variables. The result indicates that there is negative relationship between excessive smartphone usage and social competence. However, when self-control is tested in the model as a mediator, excessive smartphones usage was not prevalent to predict social competence. This concludes to the apparent role of self-control as a mediator. The implication of study has contributed to the practical importance and methodological aspect of studies involving social competence and self-control.
    Matched MeSH terms: Regression Analysis
  14. Ili NN, Omar Z, Ahmad A
    Jurnal Psikologi Malaysia, 2014;olume 28:39-62.
    Employee deviance has received increasing attention in the past decade. Past research have reported that work environment related factors such as organizational support, supervisory support, role conflict, and job demand were associated with deviant behavior The purpose of this paper is to examine the relationship between job demand (psychological job demand), and job resources (social support), and employee workplace deviant behavior. This study adopts a cross-sectional correlation study design. A total of 315 employees were selected using cluster sampling technique participated in this study. Data were collected using a self-administered questionnaire using the drop and collect method. Data were analyzed using descriptive analysis (mean, standard deviation, frequency distribution) to describe the demographic profile and study variables. Correlation and regression analysis was performed to test the relationship between psychological job demand, and social support, and employee workplace deviant behaviors. The result revealed that lack of social support has significant positive influence on employee workplace deviant behavior. The findings suggest that lack of job resources such as social support may drive employees to engage in deviant work behavior. However, high job demand experienced by employees does not drive them towards engaging in deviant work behavior.
    Matched MeSH terms: Regression Analysis
  15. Hameed BH, Tan IA, Ahmad AL
    J Hazard Mater, 2008 Oct 30;158(2-3):324-32.
    PMID: 18329169 DOI: 10.1016/j.jhazmat.2008.01.088
    Oil palm fibre was used to prepare activated carbon using physiochemical activation method which consisted of potassium hydroxide (KOH) treatment and carbon dioxide (CO(2)) gasification. The effects of three preparation variables: the activation temperature, activation time and chemical impregnation (KOH:char) ratio on methylene blue (MB) uptake from aqueous solutions and activated carbon yield were investigated. Based on the central composite design (CCD), a quadratic model and a two factor interaction (2FI) model were respectively developed to correlate the preparation variables to the MB uptake and carbon yield. From the analysis of variance (ANOVA), the significant factors on each experimental design response were identified. The optimum activated carbon prepared from oil palm fibre was obtained by using activation temperature of 862 degrees C, activation time of 1h and chemical impregnation ratio of 3.1. The optimum activated carbon showed MB uptake of 203.83 mg/g and activated carbon yield of 16.50%. The equilibrium data for adsorption of MB on the optimum activated carbon were well represented by the Langmuir isotherm, giving maximum monolayer adsorption capacity as high as 400mg/g at 30 degrees C.
    Matched MeSH terms: Regression Analysis
  16. Hassan MR, Suan MA, Soelar SA, Mohammed NS, Ismail I, Ahmad F
    Asian Pac J Cancer Prev, 2016;17(7):3575-81.
    PMID: 27510011
    BACKGROUND: Cancer survival analysis is an essential indicator for effective early detection and improvements in cancer treatment. This study was undertaken to document colorectal cancer survival and associated prognostic factors in Malaysians.

    MATERIALS AND METHODS: All data were retrieved from the National Cancer Patient Registry Colorectal Cancer. Only cases with confirmed diagnosis through histology between the year 2008 and 2009 were included. Retrieved data include sociodemographic information, pathological features and treatment received. Survival curves were plotted using the KaplanMeier method. Univariate analysis of all variables was then made using the Logrank test. All significant factors that influenced survival of patients were further analysed in a multivariate analysis using Cox' regression.

    RESULTS: Total of 1,214 patients were included in the study. The overall 3 and 5year survival rates were 59.1% and 48.7%, respectively. Patients with localized tumours had better prognosis compared to those with advanced stage cancer. In univariate analysis, staging at diagnosis (p<0.001), primary tumour size (p<0.001), involvement of lymph nodes (p<0.001) and treatment modalities (p=0.001) were found to be predictors of survival. None of the sociodemographic characteristics were found to exert any influence. In Cox regression analysis, staging at diagnosis (p<0.001), primary tumour size (p<0.001), involvement of lymph nodes (p<0.001) and treatment modalities (p<0.001) were determined as independent prognostic factors of survival after adjusted for age, gender and ethnicity.

    CONCLUSIONS: The overall survival rate for colorectal cancer patients in Malaysia is similar to those in other Asian countries, with staging at diagnosis, primary tumor size, involvement of lymph node and treatment modalities having significant effects. More efforts are needed to improve national survival rates in future.
    Matched MeSH terms: Regression Analysis
  17. Lim YW, Shafie AA, Chua GN, Ahmad Hassali MA
    Value Health, 2017 09;20(8):1131-1138.
    PMID: 28964445 DOI: 10.1016/j.jval.2017.04.002
    BACKGROUND: One major challenge in prioritizing health care using cost-effectiveness (CE) information is when alternatives are more expensive but more effective than existing technology. In such a situation, an external criterion in the form of a CE threshold that reflects the willingness to pay (WTP) per quality-adjusted life-year is necessary.

    OBJECTIVES: To determine a CE threshold for health care interventions in Malaysia.

    METHODS: A cross-sectional, contingent valuation study was conducted using a stratified multistage cluster random sampling technique in four states in Malaysia. One thousand thirteen respondents were interviewed in person for their socioeconomic background, quality of life, and WTP for a hypothetical scenario.

    RESULTS: The CE thresholds established using the nonparametric Turnbull method ranged from MYR12,810 to MYR22,840 (~US $4,000-US $7,000), whereas those estimated with the parametric interval regression model were between MYR19,929 and MYR28,470 (~US $6,200-US $8,900). Key factors that affected the CE thresholds were education level, estimated monthly household income, and the description of health state scenarios.

    CONCLUSIONS: These findings suggest that there is no single WTP value for a quality-adjusted life-year. The CE threshold estimated for Malaysia was found to be lower than the threshold value recommended by the World Health Organization.

    Matched MeSH terms: Regression Analysis
  18. 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.

    Matched MeSH terms: Regression Analysis
  19. Saidon Amri, Aris Fazil Ujang, Mohd Rozilee Wazir Norjali Wazir, Ahmad Naim Ismail
    Movement Health & Exercise, 2012;1(1):75-92.
    MyJurnal
    The purpose of this study was to investigate the relationship between anthropometric and motor performance and to determine the contribution of combined anthropometric dimensions on motor performance. A total of 225 male (n = 138) and female (n = 87) Malaysian university athletes aged
    between 18 and 28 years (M = 22.1, SD = 1.8) from 18 different team related sports and individual sports participated in this study. The subjects underwent anthropometric measurements (height, weight, BMI,% body fat, waist-hip ratio) and motor performance tests (grip strength - GS, back
    strength - BS, 7 level sit-up - SU7, 10m sprint - S10, 30m sprint - S30, sit and reach - SR, trunk extension test - TE, SEMO agility test - SEMO, vertical jump - VJ, standing long jump - SLJ, reaction time (audio) - RTa, reaction time (visual) - RTv, bleep test - Bleep, leg strength - LS, stork test– ST, and push-ups - PU). Descriptive analysis showed that anthropometric and performance difference between sports reflected the needs and requirements of the sports. Multivariate Analysis of Covariance (MANCOVA) and multiple regression analysis showed that height, weight, BMI, % body fat, waist-hip ratio contributed positively or negatively on specific components of motor performance. Among male athletes, all anthropometric were found to be a significant contributor to strength, vertical jump, cardiovascular endurance, while among females, only % body fat and WHR contributed significantly to abdominal strength, vertical jump and trunk extension. Findings of the study suggested that anthropometric characteristics that contributed to motor performance should provide a scientific rationale in selecting and training of athletes.
    Matched MeSH terms: Regression Analysis
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