Displaying publications 1 - 20 of 440 in total

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  1. Shahril MR, Zakarai NS, Appannah G, Nurnazahiah A, Mohamed HJJ, Ahmad A, et al.
    Nutrients, 2021 Sep 24;13(10).
    PMID: 34684340 DOI: 10.3390/nu13103339
    Dietary pattern (DP) and its relationship with disease biomarkers have received recognition in nutritional epidemiology investigations. However, DP relationships with adipokines (i.e., adiponectin and leptin) among breast cancer survivors remain unclear. Therefore, we assessed relationships between DP and high-molecular weight (HMW) adiponectin and leptin concentration among breast cancer survivors. This cross-sectional study involved 128 breast cancer survivors who attended the oncology outpatient clinic at two main government hospitals in the East Coast of Peninsular Malaysia. The serum concentration of HMW adiponectin and leptin were measured using enzyme-linked immunosorbent assay (ELISA) kits. A reduced rank regression method was used to analyze DP. Relationships between DP with HMW adiponectin and leptin were examined using regression models. The findings show that with every 1-unit increase in the 'energy-dense, high-SFA, low-fiber' DP z-score, there was a reduction by 0.41 μg/mL in HMW adiponectin which was independent of age, BMI, education level, occupation status, cancer stage, and duration since diagnosis. A similar relationship with leptin concentration was not observed. In conclusion, the 'energy-dense, high-saturated fat and low-fiber' DP, which is characterized by high intake levels of sugar-sweetened drinks and fat-based spreads but low intake of fruits and vegetables, is an unhealthy dietary pattern and unfavorable for HMW adiponectin concentration, but not for leptin. These findings could serve as a basis in developing specific preventive strategies that are tailored to the growing population of breast cancer survivors.
    Matched MeSH terms: Regression Analysis
  2. Shrestha R, Copenhaver M, Bazazi AR, Huedo-Medina TB, Krishnan A, Altice FL
    AIDS Behav, 2017 Apr;21(4):1059-1069.
    PMID: 28108877 DOI: 10.1007/s10461-017-1693-x
    Although it is well established that HIV-related stigma, depression, and lack of social support are negatively associated with health-related quality of life (HRQoL) among people living with HIV (PLH), no studies to date have examined how these psychosocial factors interact with each other and affect HRQoL among incarcerated PLH. We, therefore, incorporated a moderated mediation model (MMM) to explore whether depression mediates the effect of HIV-related stigma on HRQoL as a function of the underlying level of social support. Incarcerated HIV-infected men with opioid dependence (N = 301) were recruited from the HIV units in Kajang prison in Malaysia. Participants completed surveys assessing demographic characteristics, HIV-related stigma, depression, social support, and HRQoL. Results showed that the effect of HIV-related stigma on HRQoL was mediated via depression (a1:β = 0.1463, p 
    Matched MeSH terms: Regression Analysis
  3. Akbari S, Mahmood SM, Ghaedi H, Al-Hajri S
    Polymers (Basel), 2019 Jun 14;11(6).
    PMID: 31207965 DOI: 10.3390/polym11061046
    Copolymers of acrylamide with the sodium salt of 2-acrylamido-2-methylpropane sulfonic acid-known as sulfonated polyacrylamide polymers-had been shown to produce very promising results in the enhancement of oil recovery, particularly in polymer flooding. The aim of this work is to develop an empirical model through the use of a design of experiments (DOE) approach for bulk viscosity of these copolymers as a function of polymer characteristics (i.e., sulfonation degree and molecular weight), oil reservoir conditions (i.e., temperature, formation brine salinity and hardness) and field operational variables (i.e., polymer concentration, shear rate and aging time). The data required for the non-linear regression analysis were generated from 120 planned experimental runs, which had used the Box-Behnken construct from the typical Response Surface Methodology (RSM) design. The data were collected during rheological experiments and the model that was constructed had been proven to be acceptable with the Adjusted R-Squared value of 0.9624. Apart from showing the polymer concentration as being the most important factor in the determination of polymer solution viscosity, the evaluation of the model terms as well as the Sobol sensitivity analysis had also shown a considerable interaction between the process parameters. As such, the proposed viscosity model can be suitably applied to the optimization of the polymer solution properties for the polymer flooding process and the prediction of the rheological data required for polymer flood simulators.
    Matched MeSH terms: Regression Analysis
  4. Lim J, Rampal S, Razack AHA, Malek R, Sundram M, Nasuha NA, et al.
    Urology, 2018 Aug;118:145-151.
    PMID: 29746873 DOI: 10.1016/j.urology.2018.02.055
    OBJECTIVES: To develop a simple prostate volume (PV) calculator that can aid in managing patients with lower urinary tract symptoms (LUTS) secondary to benign prostatic enlargement at daily urology services in developing Asian countries.

    MATERIALS AND METHODS: We conducted a cross-sectional study of men aged above 40 years with no history of prostate cancer, prostate surgery, or 5α-reductase inhibitor treatment. Serum prostate-specific antigen (PSA) and total PV were measured in each subject. Potential sociodemographic and clinical variables including age, weight, comorbidities, and International Prostate Symptom Score (IPSS) were collected. Of 1034 subjects, 837 were used in building the PV calculator using regression analysis. The remaining 1/5 (n = 197) was used for model validation.

    RESULTS: There were 1034 multiethnic Asian men (Chinese 52.9%, Malay 35.4%, and Indian 11.7%) with mean age of 60 ± 7.6 years. Average PV was 29.4 ± 13.0 mL while the overall mean of PSA was 1.7 ± 1.7 ng/mL. We identified age, IPSS, weight, and PSA (all P 

    Matched MeSH terms: Regression Analysis
  5. Hamdi OA, Anouar el H, Shilpi JA, Trabolsy ZB, Zain SB, Zakaria NS, et al.
    Int J Mol Sci, 2015 Apr 27;16(5):9450-68.
    PMID: 25923077 DOI: 10.3390/ijms16059450
    A series of 21 compounds isolated from Curcuma zedoaria was subjected to cytotoxicity test against MCF7; Ca Ski; PC3 and HT-29 cancer cell lines; and a normal HUVEC cell line. To rationalize the structure-activity relationships of the isolated compounds; a set of electronic; steric and hydrophobic descriptors were calculated using density functional theory (DFT) method. Statistical analyses were carried out using simple and multiple linear regressions (SLR; MLR); principal component analysis (PCA); and hierarchical cluster analysis (HCA). SLR analyses showed that the cytotoxicity of the isolated compounds against a given cell line depend on certain descriptors; and the corresponding correlation coefficients (R2) vary from 0%-55%. MLR results revealed that the best models can be achieved with a limited number of specific descriptors applicable for compounds having a similar basic skeleton. Based on PCA; HCA and MLR analyses; active compounds were classified into subgroups; which was in agreement with the cell based cytotoxicity assay.
    Matched MeSH terms: Regression Analysis
  6. Raman S, Samuel D, Suresh K
    Aust N Z J Obstet Gynaecol, 1991 Aug;31(3):217-20.
    PMID: 1804081
    In this study 24 patients who had conventional erect lateral X-ray pelvimetry had a CT pelvimetry done after delivery to complete the pelvimetry views. The erect lateral pelvimetry was read independently by a Consultant Radiologist, Consultant Obstetrician and a Medical Officer training in Obstetrics and Gynaecology. Using CT pelvimetry as the 'gold standard' (as the error of measurement was known with the machine used) the 3 readings were compared. There was no statistical difference in the values suggesting that X-ray pelvimetry is comparable to CT pelvimetry. However CT pelvimetry is preferred, if available, because of the lower dose of radiation involved, more comfort for the patient and shorter time in performing the procedure. Measurements done are easily read directly from the CT console.
    Matched MeSH terms: Regression Analysis
  7. ul Haq N, Hassali MA, Shafie AA, Saleem F, Aljadhey H
    PMID: 22866752 DOI: 10.1186/1477-7525-10-91
    The study aims to assess Health Related Quality of Life (HRQoL) among Hepatitis B (HB) patients and to identify significant predictors of the HRQoL in HB patients of Quetta, Pakistan.
    Matched MeSH terms: Regression Analysis
  8. Shaharir SS, Ghafor AH, Said MS, Kong NC
    Lupus, 2014 Apr;23(4):436-42.
    PMID: 24399814 DOI: 10.1177/0961203313518624
    INTRODUCTION: Renal involvement is the most common serious complication in patients with systemic lupus erythematosus (SLE).
    OBJECTIVE: The objective of this article is to investigate and determine the associated factors of disease damage among lupus nephritis (LN) patients.
    METHODS: Medical records of LN patients who attended regular follow-up for at least one year in the Nephrology/SLE Clinic, Universiti Kebangsaan Malaysia Medical Centre (UKMMC), were reviewed. Their Systemic Lupus International Collaborating Clinics/American College of Rheumatology (SLICC/ACR) Damage Index scores were noted. Univariate analysis and multivariable regression analysis were performed to determine the independent factors of disease damage in LN.
    RESULTS: A total of 150 patients were included and their follow-up duration ranged from one to 20 years. Sixty (40%) LN patients had disease damage (SDI ≥1). In the univariate analysis, it was associated with age, longer disease duration, antiphospholipid syndrome (APS), higher maximum daily oral prednisolone dose (mg/day), lower mean C3 and C4, higher chronicity index and global sclerosis on renal biopsies (p < 0.05). Patients who received early (≤3 months after the SLE diagnosis) hydroxychloroquine (HCQ), optimum HCQ dose at 6.5 mg/kg/day and achieved early complete remission (CR) were less likely to have disease damage (p < 0.05). After adjustment for age, gender, disease duration and severity, multivariable regression analysis revealed that a higher maximum daily dose of oral prednisolone was independently associated with disease damage while early HCQ and CR were associated with lower disease damage.
    CONCLUSION: Higher maximum daily prednisolone dose predicted disease damage whereas treatment with early HCQ and early CR had a protective role against disease damage.
    KEYWORDS: Antiphospholipid syndrome; lupus nephritis; systemic lupus erythematosus

    Study site: Nephrology/SLE Clinic, Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM)
    Matched MeSH terms: Regression Analysis
  9. Tan CY, Sekiguchi Y, Goh KJ, Kuwabara S, Shahrizaila N
    Clin Neurophysiol, 2020 01;131(1):63-69.
    PMID: 31751842 DOI: 10.1016/j.clinph.2019.09.025
    OBJECTIVE: We aimed to develop a model that can predict the probabilities of acute inflammatory demyelinating polyneuropathy (AIDP) based on nerve conduction studies (NCS) done within eight weeks.

    METHODS: The derivation cohort included 90 Malaysian GBS patients with two sets of NCS performed early (1-20days) and late (3-8 weeks). Potential predictors of AIDP were considered in univariate and multivariate logistic regression models to develop a predictive model. The model was externally validated in 102 Japanese GBS patients.

    RESULTS: Median motor conduction velocity (MCV), ulnar distal motor latency (DML) and abnormal ulnar/normal sural pattern were independently associated with AIDP at both timepoints (median MCV: p = 0.038, p = 0.014; ulnar DML: p = 0.002, p = 0.003; sural sparing: p = 0.033, p = 0.009). There was good discrimination of AIDP (area under the curve (AUC) 0.86-0.89) and this was valid in the validation cohort (AUC 0.74-0.94). Scores ranged from 0 to 6, and corresponded to AIDP probabilities of 15-98% at early NCS and 6-100% at late NCS.

    CONCLUSION: The probabilities of AIDP could be reliably predicted based on median MCV, ulnar DML and ulnar/sural sparing pattern that were determined at early and late stages of GBS.

    SIGNIFICANCE: A simple and valid model was developed which can accurately predict the probability of AIDP.

    Matched MeSH terms: Regression Analysis
  10. Habshah Midi, Bagheri A, Rahmatullah Imon A
    Sains Malaysiana, 2011;40:1437-1447.
    Outliers in the X-direction or high leverage points are the latest known source of multicollinearity. Multicollinearity is a nonorthogonality of two or more explanatory variables in multiple regression models, which may have important influential impacts on interpreting a fitted regression model. In this paper, we performed Monte Carlo simulation studies to achieve two main objectives. The first objective was to study the effect of certain magnitude and percentage of high leverage points, which are two important issues in tending the high leverage points to be collinearity-enhancing observations, on the multicollinarity pattern of the data. The second objective was to investigate in which situations these points do make different degrees of multicollinearity, such as moderate or severe. According to the simulation results, high leverage points should be in large magnitude for at least two explanatory variables to guarantee that they are the cause of multicollinearity problems. We also proposed some practical Lower Bound (LB) and Upper Bound (UB) for High Leverage Collinearity Influential Measure (HLCIM) which is an essential measure in detecting the degree of multicollinearity. A well-known example is used to confirm the simulation results.
    Matched MeSH terms: Regression Analysis
  11. Ramanathan S, Karupiah S, Nair NK, Olliaro PL, Navaratnam V, Wernsdorfer WH, et al.
    PMID: 16046285
    A new approach using a simple solid-phase extraction technique has been developed for the determination of pyronaridine (PND), an antimalarial drug, in human plasma. After extraction with C18 solid-phase sorbent, PND was analyzed using a reverse phase chromatographic method with fluorescence detection (at lambda(ex)=267 nm and lambda(em)=443 nm). The mean extraction recovery for PND was 95.2%. The coefficient of variation for intra-assay precision, inter-assay precision and accuracy was less than 10%. The quantification limit with fluorescence detection was 0.010 microg/mL plasma. The method described herein has several advantages over other published methods since it is easy to perform and rapid. It also permits reducing both, solvent use and sample preparation time. The method has been used successfully to assay plasma samples from clinical pharmacokinetic studies.
    Matched MeSH terms: Regression Analysis
  12. Nurimatussolehah Sarijan, Sabariah Md Noor, Tun Maizura Mohd Fathullah, Malina Osman, Zainina Seman
    MyJurnal
    Percentage of haemolysis is widely used as a quality parameter to assess red blood cell viability in blood banking. In certain blood banks, serum potassium level is used due to the unavailability of the former test. The relationship between these two tests, however, is still unclear. The objective of this study is to determine the association between haemolysis measured using two different methods for quality control. Methods: A total of forty-four samples of packed red cell in citrate-phosphate-dextrose with optisol were randomly selected from donation drives. Nine millilitres of blood was collected weekly starting from day-2 of storage, followed by day-7, 14, 21, 28, 35 and 42 for assessment of red blood cell haemolysis by measuring serum potassium level and percentage of haemolysis.Results: These two parameters were correlated significantly with a positive moderate linear relationship on day 7, 21 and 28 with r = 0.393, 0.448 and 0.425, respectively and p-values less than 0.01. The linear regression analysis showed there was a significant regression equation which could be used to predict the serum potassium level from the percentage of haemolysis. Conclusion: There were significant increases in the percentage of haemolysis and serum potassium level in the packed red cell units with storage. The serum potassium level would be able to be predicted from the percentage of haemolysis using the regression equations on day 7, 21 and 28. The serum potassium measurement could be used as an alternative test to the percentage of haemolysis before issuing blood.
    Matched MeSH terms: Regression Analysis
  13. Sanagi MM, Nasir Z, Ling SL, Hermawan D, Ibrahim WA, Naim AA
    J AOAC Int, 2010 10 7;93(4):1322-30.
    PMID: 20922968
    Linearity assessment as required in method validation has always been subject to different interpretations and definitions by various guidelines and protocols. However, there are very limited applicable implementation procedures that can be followed by a laboratory chemist in assessing linearity. Thus, this work proposes a simple method for linearity assessment in method validation by a regression analysis that covers experimental design, estimation of the parameters, outlier treatment, and evaluation of the assumptions according to the International Union of Pure and Applied Chemistry guidelines. The suitability of this procedure was demonstrated by its application to an in-house validation for the determination of plasticizers in plastic food packaging by GC.
    Matched MeSH terms: Regression Analysis
  14. 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
  15. Mohajeri L, Aziz HA, Isa MH, Zahed MA
    Bioresour Technol, 2010 Feb;101(3):893-900.
    PMID: 19773160 DOI: 10.1016/j.biortech.2009.09.013
    This work studied the bioremediation of weathered crude oil (WCO) in coastal sediment samples using central composite face centered design (CCFD) under response surface methodology (RSM). Initial oil concentration, biomass, nitrogen and phosphorus concentrations were used as independent variables (factors) and oil removal as dependent variable (response) in a 60 days trial. A statistically significant model for WCO removal was obtained. The coefficient of determination (R(2)=0.9732) and probability value (P<0.0001) demonstrated significance for the regression model. Numerical optimization based on desirability function were carried out for initial oil concentration of 2, 16 and 30 g per kg sediment and 83.13, 78.06 and 69.92 per cent removal were observed respectively, compare to 77.13, 74.17 and 69.87 per cent removal for un-optimized results.
    Matched MeSH terms: Regression Analysis
  16. Lim HS, Rajab J, Al-Salihi A, Salih Z, MatJafri MZ
    Environ Sci Pollut Res Int, 2022 Feb;29(7):9755-9765.
    PMID: 34505243 DOI: 10.1007/s11356-021-16321-z
    Air surface temperature (AST) is a crucial importance element for many applications such as hydrology, agriculture, and climate change studies. The aim of this study is to develop regression equation for calculating AST and to analyze and investigate the effects of atmospheric parameters (O3, CH4, CO, H2Ovapor, and outgoing longwave radiation (OLR)) on the AST value in Iraq. Dataset retrieved from the Atmospheric Infrared Sounder (AIRS) at EOS Aqua Satellite, spanning the years of 2003 to 2016, and multiple linear regression were used to achieve the objectives of the study. For the study period, the five atmospheric parameters were highly correlated (R, 0.855-0.958) with predicted AST. Statistical analyses in terms of β showed that OLR (0.310 to 1.053) contributes significantly in enhancing AST values. Comparisons among selected five stations (Mosul, Kanaqin, Rutba, Baghdad, and Basra) for the year 2010 showed a close agreement between the predicted and observed AST from AIRS, with values ranging from 0.9 to 1.5 K and for ground stations data, within 0.9 to 2.6 K. To make more complete analysis, also, comparison between predicted and observed AST from AIRS for four selected month in 2016 (January, April, July, and October) has been carried out. The result showed a high correlation coefficient (R, 0.87 and 0.95) with less variability (RMSE ≤ 1.9) for all months studied, indicating model's capability and accuracy. In general, the results indicate the advantage of using the AIRS data and the regression analysis to investigate the impact of the atmospheric parameters on AST over the study area.
    Matched MeSH terms: Regression Analysis
  17. Pócs T, Lee GE, Podani J, Pesiu E, Havasi J, Tang HY, et al.
    PhytoKeys, 2020;153:63-83.
    PMID: 32765181 DOI: 10.3897/phytokeys.153.53637
    We evaluated the species richness and beta diversity of epiphyllous assemblages from three selected localities in Sabah, i.e. Mt. Silam in Sapagaya Forest Reserve, and Ulu Senagang and Mt. Alab in Crocker Range Park. A total of 98 species were found and a phytosociological survey was carried out based on the three study areas. A detailed statistical analysis including standard correlation and regression analyses, ordination of species and leaves using centered principal component analysis, and the SDR simplex method to evaluate the beta diversity, was conducted. Beta diversity is very high in the epiphyllous liverwort assemblages in Sabah, with species replacement as the major component of pattern formation and less pronounced richness difference. The community analysis of the epiphyllous communities in Sabah makes possible their detailed description and comparison with similar communities of other continents.
    Matched MeSH terms: Regression Analysis
  18. Chua, S.K., Singh, Devinder K.A., Rajaratnam, B.S., Mokhtar, Sabarul A., Sridharan, R., Gan, K.B., et al.
    MyJurnal
    Older adults are at risk of osteoporotic fractures. Osteoporotic vertebral fractures are associated with a reduced cross-sectional area and muscle strength of the back extensor muscles, increased intramuscular fat infiltration and thoracic and lumbar curvature alterations. This study proposed a protocol to examine in more detail the contributions of altered spinal morphological, physical performance and biochemical markers to the risk of developing osteoporotic vertebral fractures. In this cross-sectional study, we plan to recruit 100 adults aged 50 years and above from an orthopaedic clinic, Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan Malaysia. The fracture prediction tool (FRAX) will be used to categorise high and low risk groups. Back muscle strength will be quantified using a load cell system. Thoracolumbar curvatures will be examined using an electromagnetic tracking system and intramuscular fat infiltration in the lumbar muscles will be measured using Magnetic Resonance Imaging. The Short Physical Performance Battery and JAMA dynamometer will quantify physical performance and the European Quality of Life Questionnaire will be used to assess self-perceived quality of life. Biochemical markers of serum C terminal telopeptide and N terminal propeptide of type I procollagen will be assessed using an enzyme-linked immunosorbent assays kit. A spine-specific model using regression analysis will be developed to predict osteoporotic vertebral fractures using the measured parameters in the present study.
    Matched MeSH terms: Regression Analysis
  19. Jamal Hisham Hashim, Ruzita Shariff, Dayang Aminah Ali, Mohd Hasni Jaafar, Mazlin Mokhtar
    MyJurnal
    Indicators, whether referred to as ecological, biological or environmental, help us in assessing environmental conditions. Hypothetically, joint influences are predicted of the parameters associated with the number of water-borne, food-borne and vector-borne cases in study areas. Regression analysis of the dependent variables in water—borne diseases such as Cholera, Typhoid, Dysentery and Hepatitis indicated that the total coly°orm, fecal colform, residual chlorine, mean monthly rainfall and temperature influence almost hay of the cases in the 3 District of Serernban. Thus, coordinated monitoring of physical, chemical and biological parameters is needed to continue to build databases and to develop models integrating environnrental and social conditions, consequences and costs.
    Matched MeSH terms: Regression Analysis
  20. Uma E, Lee CH, Shapiai SNHBM, Binti Mat Nor AN, Soe HHK, Varghese E
    PMID: 33426130 DOI: 10.4103/jehp.jehp_195_20
    BACKGROUND: Undergraduate dental students have to do multiple tasks as part of their extensive curriculum in order to achieve the proficiencies expected of them. During the course of their study, a tendency to procrastinate and question their self-efficacy is detrimental for the students. The aim of this study was to evaluate the level of procrastination and self-efficacy and its related factors among dental undergraduate students.

    SUBJECTS AND METHODS: This cross-sectional study was conducted among all (n = 361) consented dental undergraduate students of our dental school. A twenty-item Lay's Procrastination Scale for student population and a ten-item General Self-Efficacy Scale were used for the study after getting institutional ethical approval. The quantitative data were explained using descriptive statistics. Independent sample t-test and ANOVA were used to determine the association between self-efficacy, academic procrastination, and genders and academic years. Pearson correlation coefficient was used to determine the association between self-efficacy and procrastination. Multiple linear regression analysis was performed to determine the related factors to academic procrastination.

    RESULTS: High procrastination (score ≥62) was seen among 28.5% of students. The mean self-efficacy score was 29.5. There was no significant difference between genders for procrastination scores (P = 0.835) and between academic years (P = 0.226). Males showed significantly more self-efficacy (P < 0.001), and self-efficacy did not show any significant difference (P = 0.204) between academic years though a tendency for year 5 students to have lower self-efficacy scores was observed. Academic procrastination was negatively correlated with self-efficacy (r = -0.238 and P < 0.001).

    CONCLUSIONS: For dental undergraduates who have cognitive load as well as work associated with patients, procrastination and self-efficacy are negatively correlated.

    Matched MeSH terms: Regression Analysis
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