Displaying publications 81 - 100 of 437 in total

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  1. Naidu Y, Siddiqui Y, Idris AS
    J Environ Manage, 2020 Apr 01;259:110056.
    PMID: 31929034 DOI: 10.1016/j.jenvman.2019.110056
    The disposal of oil palm biomass is a huge challenge in Malaysian oil palm plantations. The aim of this study was to develop efficient solid-state cultivated (SSC) ligno-hemicellulolytic bio-degrader formulations of indigenous white-rot hymenomycetes (Trametes lactinea FBW and Pycnoporus sanguineus FBR) utilizing oil palm empty fruit bunches (EFB), rubber wood sawdust (SD) and vermiculite (V) either alone or in combination as substrates. Based on significant laccase (849.40 U mg-1 protein), xylanase (42.26 U g-1 protein) and amylase (157.49 U g-1 protein) production, SD+V (T5) and V (T3) were the optimum substrates for SSC of T. lactinea FBW. Whereas, utilizing EFB (T1) substrate for SSC of P. sanguineus FBR enhanced the production of MnP (42.51 U mg-1 protein), LiP (103.20 U mg-1 protein) and CMCase (34.39 U g-1 protein), enzymes. Apparently, this is the first study reporting on the protein profiles by T. lactinea FBW, producing two isoforms of un-purified laccase (~55 and 70 kDa) and MnP (~40 and 60 kDa) and a CMCase band (~60 kDa) during SSC on SD+V (T5) substrate. Interestingly, this is also the first report to document a single isoform of un-purified laccase (~50 kDa), MnP (~45 kDa), CMCase (~60 kDa) and xylanase (~55 kDa) by P. sanguineus FBR during SSC on empty fruit bunches substrate. The computed Principal Component Analysis (PCA) Biplot analysis elucidated the relationship between the solid substrate compositions, the hymenomycete strain, ligno-hemicellulolytic enzyme profiles, and cultivation time. Therefore, it is suggested to use PCA as a tool for multivariate analysis method for comprehensive selection and optimization of ligno-hemicellulolytic enzyme cocktails by the indigenous white rot hymenomycetes. These non-toxic (acute oral toxicity) formulations are safe to be used in field applications to efficiently degrade oil palm trunks and root mass that had been felled, chipped or pulverized under zero burning waste management program. This study could also serve as an alternative method for efficient utilization of agro-industrial waste as substrates for the development of cost-effective bio-degraders formulations for agro-waste management.
    Matched MeSH terms: Multivariate Analysis
  2. Nazatul Syadia Zainordin, Nor Azam Ramli, Maher Elbayoumi
    Sains Malaysiana, 2017;46:197-207.
    ir quality has deteriorated in urban areas as a result of increased anthropogenic activities. Quantitative information on the influence of meteorological conditions on several pollutants in a tropical climate is still lacking. Real-time ozone (O3) and nitrogen dioxide (NO2) levels were measured nearby selected schools in Malaysia to examine the impact of meteorological factors on monitoring pollutants. The results showed the overall 10 min average concentrations of the main parameters during school holiday were 24 ppb (O3) and 33 ppb (NO2) while during school day the overall 10 min average concentrations were 26 ppb (O3) and 51 ppb (NO2). Although there are no minimum requirements for short-term exposure by MAAQG, if compared to 1 h average requirements, all concentrations were still below the suggested values. Regarding spatial distribution, a different trend in pollutant concentration among the schools was observed because of the influence of temperature (AT) and wind speed (WS). The results were verified by Pearson correlation, where significant correlations (p<0.01) were determined between air pollutants and meteorological factors, which were temperature, wind speed and relative humidity. Meanwhile, the distribution of O3 was moderately correlated with NO2. However, the results of multivariate analysis indicate that temperature and relative humidity had the most significant influence on the formation of O3. In summary, the results of this study showed that all precursors and meteorological parameters contribute to the production of O3. Hence, reducing O3 precursors, which are emitted by vehicles, is essential to lessening the exposure to O3
    Matched MeSH terms: Multivariate Analysis
  3. Huynh-Le MP, Fan CC, Karunamuni R, Thompson WK, Martinez ME, Eeles RA, et al.
    Nat Commun, 2021 02 23;12(1):1236.
    PMID: 33623038 DOI: 10.1038/s41467-021-21287-0
    Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score ≥ 7, stage T3-T4, PSA ≥ 10 ng/mL, or nodal/distant metastasis) cancer and prostate-cancer-specific death. Associations with cancer are significant within European (n = 71,856), Asian (n = 2,382), and African (n = 6,253) genetic ancestries (p 
    Matched MeSH terms: Multivariate Analysis
  4. Mohd Shariff N, Shah SA, Kamaludin F
    J Glob Antimicrob Resist, 2016 09;6:102-107.
    PMID: 27530850 DOI: 10.1016/j.jgar.2016.04.005
    The emergence of drug-resistant tuberculosis (TB) is a major public health threat. However, little is known about the predictors of death in drug-resistant TB in Malaysia. This study aimed to determine the predictors of death in drug-resistant TB patients, including multidrug-resistant TB (MDR-TB), in Kuala Lumpur, Malaysia. This study adopted a retrospective cohort study design and involved laboratory-confirmed drug-resistant TB patients (n=426) from January 2009 to June 2013. A Cox regression model and Kaplan-Meier curves were used to model the outcome measure. Data were analysed by using SPSS v.20.0 for Windows. In this study, 15.3% (n=65) of the patients died. Among the study patients, 70.9% were monoresistant TB cases, 9.4% were poly-resistant TB and 19.7% were MDR-TB. MDR-TB [adjusted hazard ratio (aHR)=2.23, 95% confidence interval (CI) 1.26-3.95], ethnicity [Malay (aHR=5.95, 95% CI 2.30-15.41), Chinese (aHR=4.01, 95% CI 1.38-11.66) and Indian (aHR=3.76, 95% CI 1.19-11.85)], coronary heart disease (aHR=6.82, 95% CI 2.16-21.50), drug abuse (aHR=3.79, 95% CI 2.07-6.93) and treatment non-compliance (aHR=1.81, 95% CI 1.01-3.27) were independent predictors of poorer survival in the multivariate Cox regression analysis. This study suggests that MDR-TB, local ethnicity, coronary heart disease, history of drug abuse and treatment non-compliance are factors predicting poor survival in drug-resistant TB patients. More emphasis should be given to the management of drug-resistant TB patients with these characteristics to achieve better treatment outcomes.
    Matched MeSH terms: Multivariate Analysis
  5. Amin AM, Mostafa H, Arif NH, Abdul Kader MAS, Kah Hay Y
    Clin Chim Acta, 2019 Jun;493:112-122.
    PMID: 30826371 DOI: 10.1016/j.cca.2019.02.030
    BACKGROUND: Coronary artery disease (CAD) claims lives yearly. Nuclear magnetic resonance (1H NMR) metabolomics analysis is efficient in identifying metabolic biomarkers which lend credence to diagnosis. We aimed to identify CAD metabotypes and its implicated pathways using 1H NMR analysis.

    METHODS: We analysed plasma and urine samples of 50 stable CAD patients and 50 healthy controls using 1H NMR. Orthogonal partial least square discriminant analysis (OPLS-DA) followed by multivariate logistic regression (MVLR) models were developed to indicate the discriminating metabotypes. Metabolic pathway analysis was performed to identify the implicated pathways.

    RESULTS: Both plasma and urine OPLS-DA models had specificity, sensitivity and accuracy of 100%, 96% and 98%, respectively. Plasma MVLR model had specificity, sensitivity, accuracy and AUROC of 92%, 86%, 89% and 0.96, respectively. The MVLR model of urine had specificity, sensitivity, accuracy and AUROC of 90%, 80%, 85% and 0.92, respectively. 35 and 12 metabolites were identified in plasma and urine metabotypes, respectively. Metabolic pathway analysis revealed that urea cycle, aminoacyl-tRNA biosynthesis and synthesis and degradation of ketone bodies pathways were significantly disturbed in plasma, while methylhistidine metabolism and galactose metabolism pathways were significantly disturbed in urine. The enrichment over representation analysis against SNPs-associated-metabolite sets library revealed that 85 SNPs were significantly enriched in plasma metabotype.

    CONCLUSIONS: Cardiometabolic diseases, dysbiotic gut-microbiota and genetic variabilities are largely implicated in the pathogenesis of CAD.

    Matched MeSH terms: Multivariate Analysis
  6. Tan PC, Yow CM, Omar SZ
    Singapore Med J, 2009 Nov;50(11):1062-7.
    PMID: 19960160
    INTRODUCTION: Coitus and orgasm in late pregnancy are believed to facilitate the onset of labour. We aim to evaluate the relationship at term of reported coitus and orgasm with spontaneous labour.
    METHODS: Women at term scheduled for non-urgent labour induction were asked to keep a coitus and orgasm diary. These women were recruited for a randomised trial on the effect of coitus to promote spontaneous labour. For this analysis, the women were categorised into coitally-active and abstinent groups according to their coital diary. Spontaneous labour prior to the date of scheduled labour induction was the primary outcome. Labour, delivery and neonatal outcome were also evaluated. Multivariable logistic regression analysis was used to control for significant variables.
    RESULTS: On univariate analysis, the inverse association of coitus with spontaneous labour was borderline (odds ratio [OR] 0.6; 95 percent confidence interval [CI] 0.3-1.0; p-value is 0.052). Orgasm was not associated with spontaneous labour (p-value is 0.33). After adjustment, coitus (adjusted OR 0.4; 95 percent CI 0.2-0.8; p-value is 0.009) displayed a significant inverse association with spontaneous labour. Coitus and orgasm were not associated with any other adverse pregnancy outcome.
    CONCLUSION: Women who reported coitus were less likely to go into spontaneous labour prior to their scheduled labour induction. Reported coitus and orgasm were not associated with adverse pregnancy outcome.
    Matched MeSH terms: Multivariate Analysis
  7. Kura NU, Ramli MF, Sulaiman WNA, Ibrahim S, Aris AZ
    Environ Sci Pollut Res Int, 2018 Mar;25(8):7231-7249.
    PMID: 26686857 DOI: 10.1007/s11356-015-5957-6
    In this paper, numerous studies on groundwater in Malaysia were reviewed with the aim of evaluating past trends and the current status for discerning the sustainability of the water resources in the country. It was found that most of the previous groundwater studies (44 %) focused on the islands and mostly concentrated on qualitative assessment with more emphasis being placed on seawater intrusion studies. This was then followed by inland-based studies, with Selangor state leading the studies which reflected the current water challenges facing the state. From a methodological perspective, geophysics, graphical methods, and statistical analysis are the dominant techniques (38, 25, and 25 %) respectively. The geophysical methods especially the 2D resistivity method cut across many subjects such as seawater intrusion studies, quantitative assessment, and hydraulic parameters estimation. The statistical techniques used include multivariate statistical analysis techniques and ANOVA among others, most of which are quality related studies using major ions, in situ parameters, and heavy metals. Conversely, numerical techniques like MODFLOW were somewhat less admired which is likely due to their complexity in nature and high data demand. This work will facilitate researchers in identifying the specific areas which need improvement and focus, while, at the same time, provide policymakers and managers with an executive summary and knowledge of the current situation in groundwater studies and where more work needs to be done for sustainable development.
    Matched MeSH terms: Multivariate Analysis
  8. Chen M, Arcari L, Engel J, Freiwald T, Platschek S, Zhou H, et al.
    Int J Cardiol Heart Vasc, 2019 Sep;24:100389.
    PMID: 31304234 DOI: 10.1016/j.ijcha.2019.100389
    Background: Patients with chronic kidney disease (CKD) have considerable cardiovascular morbidity and mortality. Aortic stiffness is an independent predictor of cardiovascular risk and related to left ventricular remodeling and heart failure. Myocardial fibrosis is the pathophysiological hallmark of the failing heart.

    Methods and results: An observational study of consecutive CKD patients (n = 276) undergoing comprehensive clinical cardiovascular magnetic resonance imaging. The relationship between aortic stiffness, myocardial fibrosis, left ventricular remodeling and the severity of chronic kidney disease was examined. Compared to age-gender matched controls with no known kidney disease (n = 242), CKD patients had considerably higher myocardial native T1 and central aortic PWV (p ≪ 0.001), as well as abnormal diastolic relaxation by E/e' (mean) by echocardiography (p ≪ 0.01). A third of all patients had LGE, with similar proportions for the presence and the (ischaemic and non-ischaemic) pattern between the groups. PWV was strongly associated with and age, NT-proBNP and native T1 in both groups, but not with LGE presence or type; the associations were amplified in severe CKD stages. In multivariate analyses, PWV was independently associated with native T1 in both groups (p ≪ 0.01) with near two-fold increase in adjusted R2 in the presence of CKD (native T1 (10 ms) R2, B(95%CI) CKD vs. non-CKD 0.28, 0.2(0.15-0.25) vs. 0.18, 0.1(0.06-0.15), p ≪ 0.01).

    Conclusions: Aortic stiffness and interstitial myocardial fibrosis are interrelated; this association is accelerated in the presence of CKD, but independent of LGE. Our findings reiterate the significant contribution of CKD-related factors to the pathophysiology of cardiovascular remodeling.

    Matched MeSH terms: Multivariate Analysis
  9. Alzoubi MM, Ks H, Am R, Al-Zoubi KM, Al-Mugheed K, Alsenany SA, et al.
    Medicine (Baltimore), 2023 Oct 06;102(40):e35390.
    PMID: 37800832 DOI: 10.1097/MD.0000000000035390
    BACKGROUND: The purpose of this study is to design, implement, and evaluate the impact of a total quality management intervention on job performance and commitment among Jordanian nurses working in government hospitals.

    METHODS: A quasi-experimental multiple time series was conducted starting in September 2017 and ending in June 2018. 140 nurses were sampled using the proportionate stratified random sampling technique; 132 were completed the study 67 the intervention group, while 65 in the control group.

    RESULTS: There were no significant differences in nurses' job performance or commitment between the 2 groups (control and intervention). A repeated measure MANOVA test for both groups revealed that the interaction between group and time was statistically significant (F (4, 127) = 144.841; P = .001; Wilk's Λ = 0.180; η2 = .820), indicating that groups had a significantly different pattern of job performance and commitment over time. A repeated test The MANCOVA test for both groups across time revealed significant differences in nurses' job performance and nurses' commitment at a less than 0.05 significance level (F (2127) = 320.724; P = .001; Wilk's Λ = 0.165; η2 = 0.835), and the overall effect of time was significant for all dependent variables (F (4125) = 36.879; P = .001; Wilk's Λ = 0.459; η2 = 0.541).

    CONCLUSION: The educational intervention was effective in improving nursing job performance among the study sample. The improved commitment of respondents in the intervention group was attributed to the improvement in job performance.

    Matched MeSH terms: Multivariate Analysis
  10. Langmia IM, Apalasamy YD, Omar SZ, Mohamed Z
    BMC Med Genet, 2015;16:63.
    PMID: 26286601 DOI: 10.1186/s12881-015-0202-1
    Preterm birth (PTB) is the major cause of death in newborn and the second major cause of death in children less than 5 years old worldwide. Genetic polymorphism has been implicated as a factor for the occurrence of preterm birth. The aim of this study is to evaluate whether polymorphism in the progesterone receptor (PGR) is associated with susceptibility to preterm birth.
    Matched MeSH terms: Multivariate Analysis
  11. Ghani AR, John JT, Idris Z, Ghazali MM, Murshid NL, Musa KI
    Malays J Med Sci, 2008 Oct;15(4):48-55.
    PMID: 22589638 MyJurnal
    A prospective cohort study was done to evaluate the role of surgery in patients with spontaneous supratentorial intracerebral haemorrhage (SICH) and to identify predictors of outcome including the use of invasive regional cortical cerebral blood flow (rCoBF) and microdialysis. Surgery consisted of craniotomy or decompressive craniectomy. The ventriculostomy for intracranial pressure (ICP) monitoring and drainage and regional cortical cerebral blood flow (rCoBF) and microdialysis were performed in all subjects. Pre and post operative information on subjects were collected. The study end points was functional outcome at 6 months based on a dichotomised Glasgow Outcome Scale (GOS).The selected clinical, radiological, biochemical and treatment factors that may influence the functional outcome were analysed for their significance. A total of 36 patients were recruited with 27(75%) patients had Glasgow Coma Score (GCS) between 5 to 8 on admission and 9(25%) were admitted with GCS of 9. At 6 months, 86 % had a poor or unfavourable outcome (GOS I-III) and 14% had good or favourable outcome (GOS IV-V). The mortality rate at 6 months was 55%. Univariate analysis for the functional outcome identified 2 significant variables, the midline shift (p=0.013) and mean lactate:pyruvate ratio (p=0.038). Multivariate analysis identified midline shift as the single significant independent predictor of functional outcome (p=0.013).Despite aggressive regional cortical cerebral blood flow (rCoBF) and microdialysis study for detection of early ischemia, surgical treatment for spontaneous intracerebral haemorrhage only benefited a small number of patients in terms of favourable outcome (14%) and in the majority of patients (86%), the outcome was unfavourable. Patients with midline shift > 5mm has almost 21 times higher chances (adj) OR 20.8 of being associated with poor outcome (GOS I-III).
    Matched MeSH terms: Multivariate Analysis
  12. Rethinasamy R, Alias A, Kandasamy R, Raffiq A, Looi MC, Hillda T
    Malays J Med Sci, 2019 Sep;26(5):139-147.
    PMID: 31728126 MyJurnal DOI: 10.21315/mjms2019.26.5.13
    Background: Neurosurgical patients are varied, encompassing cranial and spinal diseases and trauma, and are admitted under both elective and emergency settings. In all settings, neurosurgery patients are at risk of deep vein thrombosis. D-dimer and ultrasound Doppler have long been good screening and confirmatory tools for the diagnosis of deep vein thrombosis (DVT). We conducted a study to identify the factors associated with DVT among neurosurgical patients, and the overall rate of occurrence at our centre. We aimed to also compare our results to the incidence in similar studies elsewhere in which more judicious use of pharmacological prophylaxis was undertaken. We also included the Well's score to validate its usefulness in screening for DVT in our local setting.

    Methods: All patients admitted into our centre were screened for eligibility and those who underwent surgery from September 2016 to September 2017 had a D-dimer screening after surgery, followed by an ultrasound Doppler if the former was positive. The choice of anticoagulant therapy was not influenced by this study, and observation of the use was in keeping with usual practices in our centre was done.

    Results: A total number of 331 patients were recruited in this study, however, after the inclusion and exclusion criteria had been met, 320 patients remained eligible, i.e. suitable for analysis. The mean age of our patients was 46 years, with 66% being male patients. A majority of the cases in this study were cranial related, with only 5% being spine surgeries. On the multivariate analysis, the Well's score and the number of days in bed remained statistically significant, after adjusting for age group, gender, ethnicity, type of central venous access and type of DVT prophylaxis with an adjusted odd's ratio, and a confidence interval of 95%, and P < 0.05 for each.

    Conclusion: Well's scoring and number of days in bed were independent factors affecting the rate of DVT in patients undergoing neurosurgical procedures in our centre.

    Matched MeSH terms: Multivariate Analysis
  13. Afifi AM, Abdullah JM, Siregar JA, Idris Z
    Malays J Med Sci, 2019 Sep;26(5):64-73.
    PMID: 31728119 MyJurnal DOI: 10.21315/mjms2019.26.5.6
    Background: Ventriculoperitoneal (VP) shunting is a permanent form of cerebrospinal fluid (CSF) diversion that can be performed for hydrocephalus. Sterility of the CSF is an important prerequisite for permanent shunt placement. It has been hypothesised that in early stage of meningitis, ventricular CSF remains sterile. A study is conducted on the first CSF sample taken from patients suspected to have meningitic hydrocephalus.

    Method: A retrospective review case records of patients who had undergone external ventricular drainage (EVD) for suspected meningitic hydropcephalus in Hospital Sultanah Aminah Johor Bahru (HSAJB), Johor, Malaysia.

    Results: Fifty-one cases were analysed. Mean age of patients was 37.27 years old, with 64.7% of them was male. Univariate analysis revealed that the main parameters to determine CSF sterility were CSF glucose (95% CI, 0.852, 10.290, P = 0.001), CSF protein (CI 95%, 0.722, 14.898, P < 0.001), CSF gram stain (95% CI, 16.437, 0.877, P < 0.001 ) and CSF appearance ( 0.611, 6.362, P = 0.012). Multivariate analysis had proven that gram stain was the main parameter in the CSF analysis (CI 95%, 16.437, 0.029, P = 0.016). No significant differences in CSF results were observed from EVD and lumbar puncture.

    Conclusion: The most significant parameter in CSF to determine infection was gram stain.

    Matched MeSH terms: Multivariate Analysis
  14. Abdulra'uf LB, Tan GH
    Food Chem, 2015 Jun 15;177:267-73.
    PMID: 25660885 DOI: 10.1016/j.foodchem.2015.01.031
    An HS-SPME method was developed using multivariate experimental designs, which was conducted in two stages. The significance of each factor was estimated using the Plackett-Burman (P-B) design, for the identification of significant factors, followed by the optimization of the significant factors using central composite design (CCD). The multivariate experiment involved the use of Minitab® statistical software for the generation of a 2(7-4) P-B design and CCD matrices. The method performance evaluated with internal standard calibration method produced good analytical figures of merit with linearity ranging from 1 to 500 μg/kg with correlation coefficient greater than 0.99, LOD and LOQ were found between 0.35 and 8.33 μg/kg and 1.15 and 27.76 μg/kg respectively. The average recovery was between 73% and 118% with relative standard deviation (RSD=1.5-14%) for all the investigated pesticides. The multivariate method helps to reduce optimization time and improve analytical throughput.
    Matched MeSH terms: Multivariate Analysis
  15. Lee CK, Chang CC, Johor A, Othman P, Baba R
    Int J Dermatol, 2015 Jul;54(7):765-70.
    PMID: 25427962 DOI: 10.1111/ijd.12451
    Hand dermatitis associated fingerprint changes is a significant problem and affects fingerprint verification processes. This study was done to develop a clinically useful prediction model for fingerprint verification in patients with hand dermatitis.
    Matched MeSH terms: Multivariate Analysis
  16. Chua SK, Kilung A, Ong TK, Fong AY, Yew KL, Khiew NZ, et al.
    Med J Malaysia, 2014 Aug;69(4):166-74.
    PMID: 25500844 MyJurnal
    INTRODUCTION: Carotid intima media thickness (CIMT) being a cost effective and easily performed technique is useful in the detection of subclinical atherosclerosis and has been shown to be a prognosticator of cardiovascular events. The primary objective of this study was to obtain the distribution of CIMT measurements, highly sensitive C reactive protein (hs-CRP) and assessing health awareness and attitudes of the Malaysian population at cardiovascular disease (CVD) risk and not receiving lipid lowering agents. Secondarily the study sought to assess the significance of the relationship between these measurements against various patient characteristics.

    METHODS: Measurements of CIMT are obtained by ultrasonography of 12 sites within the common carotid artery was recorded for 123 subjects from a single centre tertiary hospital of Malaysia who had two or more CVD risk factors but were not receiving lipid lowering therapy. CVD risk factors and lipid and glucose profiles were analyzed with respect to distribution of CIMT and high-sensitivity Creactive protein (hs-CRP) values.

    RESULTS: The mean-max CIMT was 0.916±0.129mm (minimum 0.630mm, maximum 1.28mm) and the mean-mean CIMT was 0.743±0.110mm (minimum 0.482mm, maximum 1.050mm) and mean hs-CRP was 0.191mg/dL (minimum 0.030mg/dL, maximum 5.440mg/dL). Multivariate analyses confirmed a significant association between increasing CIMT and increasing age, total and low density lipoprotein cholesterol while log-transformed hs-CRP levels showed significant association with increasing body mass index, waist circumference, high blood glucose and triglyceride levels. Our patients had good health awareness on CVD.

    CONCLUSION: Newly defined CIMT measurements and hs-CRP levels may be useful adjunctive tools to screen for atherosclerosis in the Malaysian population. It may help in refining risk stratification on top of traditional clinical assessment.
    Matched MeSH terms: Multivariate Analysis
  17. Mohamed I, Othman F, Ibrahim AI, Alaa-Eldin ME, Yunus RM
    Environ Monit Assess, 2015 Jan;187(1):4182.
    PMID: 25433545 DOI: 10.1007/s10661-014-4182-y
    This case study uses several univariate and multivariate statistical techniques to evaluate and interpret a water quality data set obtained from the Klang River basin located within the state of Selangor and the Federal Territory of Kuala Lumpur, Malaysia. The river drains an area of 1,288 km(2), from the steep mountain rainforests of the main Central Range along Peninsular Malaysia to the river mouth in Port Klang, into the Straits of Malacca. Water quality was monitored at 20 stations, nine of which are situated along the main river and 11 along six tributaries. Data was collected from 1997 to 2007 for seven parameters used to evaluate the status of the water quality, namely dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, suspended solids, ammoniacal nitrogen, pH, and temperature. The data were first investigated using descriptive statistical tools, followed by two practical multivariate analyses that reduced the data dimensions for better interpretation. The analyses employed were factor analysis and principal component analysis, which explain 60 and 81.6% of the total variation in the data, respectively. We found that the resulting latent variables from the factor analysis are interpretable and beneficial for describing the water quality in the Klang River. This study presents the usefulness of several statistical methods in evaluating and interpreting water quality data for the purpose of monitoring the effectiveness of water resource management. The results should provide more straightforward data interpretation as well as valuable insight for managers to conceive optimum action plans for controlling pollution in river water.
    Matched MeSH terms: Multivariate Analysis
  18. Choy SH, Al-Mekhlafi HM, Mahdy MA, Nasr NN, Sulaiman M, Lim YA, et al.
    Sci Rep, 2014;4:6909.
    PMID: 25366301 DOI: 10.1038/srep06909
    This study was carried out to investigate the prevalence and risk factors of Giardia infection among indigenous people in rural Malaysia. Faecal samples were collected from 1,330 participants from seven states of Malaysia and examined by wet mount and formalin-ether sedimentation methods while demographic, socioeconomic and environmental information was collected using a pre-tested questionnaire. The overall prevalence of Giardia infection was 11.6% and was significantly higher among those aged ≤ 12 years compared to their older counterparts. Multivariate logistic regression identified age of ≤ 12 years, lacking of toilet at household, not washing hands before eating, not washing hands after playing with animals, not boiling water before consumption, bathing in the river, and not wearing shoes when outside as the significant risk factors of Giardia infection among these communities. Based on a multilocus genotyping approach (including tpi, gdh and bg gene sequences), 69 isolates were identified as assemblage A, and 69 as assemblage B. No association between the assemblages and presence of symptoms was found. Providing proper sanitation, as well as provision of clean drinking water and proper health education regarding good personal hygiene practices will help significantly in reducing the prevalence and burden of Giardia infection in these communities.
    Matched MeSH terms: Multivariate Analysis
  19. Tangiisuran B, Scutt G, Stevenson J, Wright J, Onder G, Petrovic M, et al.
    PLoS One, 2014;9(10):e111254.
    PMID: 25356898 DOI: 10.1371/journal.pone.0111254
    Older patients are at an increased risk of developing adverse drug reactions (ADR). Of particular concern are the oldest old, which constitute an increasingly growing population. Having a validated clinical tool to identify those older patients at risk of developing an ADR during hospital stay would enable healthcare staff to put measures in place to reduce the risk of such an event developing. The current study aimed to (1) develop and (2) validate an ADR risk prediction model.
    Matched MeSH terms: Multivariate Analysis
  20. Ahmad N, Cheong SM, Ibrahim N, Rosman A
    Asia Pac J Public Health, 2014 Sep;26(5 Suppl):63S-9S.
    PMID: 25005932 DOI: 10.1177/1010539514540746
    Adolescence is the time of greatest risk for the first onset of suicidal behaviors. This study aimed to identify the risk and protective factors associated with suicidal ideation among Malaysian adolescents. Data from the 2012 Malaysia Global School-based Student Health Survey, a nationwide study using a 2-stage cluster sampling design, were analyzed. The survey used a self-administered validated bilingual questionnaire and the Depression Anxiety and Stress Scale. The prevalence of suicidal ideation was 7.9%. Analysis revealed that suicidal ideation was positively associated with depression, anxiety, stress, substance use, being bullied, and being abused at home, either physically or verbally. In addition, suicidal ideation was significantly higher among females and among the Indians and Chinese. Having close friends and married parents were strongly protective against suicidal ideation. Understanding the risk and protective factors is important in providing comprehensive management for suicidal ideation.
    Study name: Global School-Based Student Health Survey (GSHS)
    Matched MeSH terms: Multivariate Analysis
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