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Fulltext The financial status and factors affecting personal well-‐being among urban poor in Kuala Lumpur

Moga Dass T, Sabri MF

Malaysian Journal of Social Sciences and Humanities, 2017;2(1):21-39.
MyJurnal

The main purpose of this study is to understand the financial status of urban poor community in Kuala Lumpur and factors affecting their personal well-being. The sampling size of this research is 1,064 respondents chosen by using systematic sampling method. The data was obtained by using selfadministered questionnaires and the data being analysed by descriptive analysis meanwhile and multi regression analysis. The results shows that the urban poor community in Kuala Lumpur are having a moderate level of financial literacy possess a less effective financial behaviour, experiencing a high financial strain and adapting a moderate level of personal well-being. Besides that, the results also indicates that the financial literacy has no influence on personal well-being of the urban poor community, meanwhile financial behaviour has a positive influence and financial strain has a negative influence on the personal well-being of the urban poor community. The findings of the study suggest the government and non-government organisation such as Economic Planning Unit ((EPU), Kuala Lumpur City Hall (KLCH or DBKL), Central Bank of Malaysia (BNM), Credit Counselling and Debt Management Agency (CCDM or AKPK), Federation of Consumer Association (FOMCA) to make an inclusive effort and approach to improve the personal well-being of the urban poor. By understanding more about the financial status of the urban poor community, it is hoped to help them to become financial prudence and in the long-run could lead them into a good decision making while facing conflicts in financial issues and maintain a good quality of life. It is important to ensure the urban poor consumers have better financial management skills which lead them to make the right decision in order to enhance their personal well-being.

Matched MeSH terms: Regression Analysis
Sugar-sweetened carbonated beverage consumption and coronary artery calcification in asymptomatic men and women

Chun S, Choi Y, Chang Y, Cho J, Zhang Y, Rampal S, et al.

Am Heart J, 2016 07;177:17-24.
PMID: 27297845 DOI: 10.1016/j.ahj.2016.03.018

BACKGROUND: Sugar-sweetened carbonated beverage consumption has been linked to obesity, metabolic syndrome, type 2 diabetes, and clinically manifest coronary heart disease, but its association with subclinical coronary heart disease remains unclear. We investigated the relationship between sugar-sweetened carbonated beverage consumption and coronary artery calcium (CAC) in a large study of asymptomatic men and women.
METHODS: This was a cross-sectional study of 22,210 adult men and women who underwent a comprehensive health screening examination between 2011 and 2013 (median age 40 years). Sugar-sweetened carbonated beverage consumption was assessed using a validated food frequency questionnaire, and CAC was measured by cardiac computed tomography. Multivariable-adjusted CAC score ratios and 95% CIs were estimated from robust Tobit regression models for the natural logarithm (CAC score +1).
RESULTS: The prevalence of detectable CAC (CAC score >0) was 11.7% (n = 2,604). After adjustment for age; sex; center; year of screening examination; education level; physical activity; smoking; alcohol intake; family history of cardiovascular disease; history of hypertension; history of hypercholesterolemia; and intake of total energy, fruits, vegetables, and red and processed meats, only the highest category of sugar-sweetened carbonated beverage consumption was associated with an increased CAC score compared with the lowest consumption category. The multivariable-adjusted CAC ratio comparing participants who consumed ≥5 sugar-sweetened carbonated beverages per week with nondrinkers was 1.70 (95% CI, 1.03-2.81). This association did not differ by clinical subgroup, including participants at low cardiovascular risk.
CONCLUSION: Our findings suggest that high levels of sugar-sweetened carbonated beverage consumption are associated with a higher prevalence and degree of CAC in asymptomatic adults without a history of cardiovascular disease, cancer, or diabetes.

Matched MeSH terms: Regression Analysis
Fulltext Verbal working memory in schizophrenia: relationship to cigarette smoking and psychopathology

Hazura, H., Wan Norhaida, W.A., Zahiruddin, O., Ruzita, J.

Malaysian Journal of Psychiatry, 2012;21(1):0-0.
MyJurnal

Introduction: A number of researches suggest smoking serves as a form of self-medication to reduce the side effects of antipsychotic medications, to alleviate negative symptoms, and/or to ameliorate a number of cognitive deficits associated with schizophrenia. Objective: The aim of this study was to investigate the association of cigarette smoking with verbal working memory and psychopathology of patients with schizophrenia. Methods: Fifty-three patients with schizophrenia were assessed by a single rater using the Malay Version of Auditory Verbal Learning Test (MVAVLT) and Positive and Negative Syndrome Scale (PANSS). Smokers (n=30) were compared with nonsmokers (n=23) on socio-demographic, clinical, psychopathology and verbal memory variables. Single linear and multiple regression analysis were performed to determine factors associated with verbal memory performance.
Results: Verbal working memory performance is associated with lower number of admission to ward, lesser severity of the negative symptoms or general psychopathology of schizophrenia and use of atypical antipsychotics in all schizophrenic subjects. Smokers with schizophrenia scored higher than non- smoker in measures that reflect immediate memory, delayed recall and recognition memory. However, the association between verbal working
memory performance and smoking status was found to be not significant. Conclusion: Verbal working memory performance is associated with negative symptoms but not positive symptoms. This study failed to detect association of smoking on verbal working memory.

Matched MeSH terms: Regression Analysis
Fulltext Psychological insulin resistance: do individual factors play an important role among type 2 diabetes patients?

Chia Yee Kang, Salmiah Md Said, Rosliza Abdul Manaf

Malaysian Journal of Medicine and Health Sciences, 2019;15(104):79-79.
MyJurnal

Introduction: Psychological insulin resistance is the reluctance of diabetes patients or physicians to initiate or in-tensify insulin therapy. The insulin usage among Malaysian type 2 diabetes mellitus (T2DM) patients is low, only 21.4% of audited T2DM patients were on insulin therapy despite 76.2% of the audited T2DM patients had poorly controlled diabetes with HbA1c ≥ 6.5% in year 2012. This study aims to identify the predictors of psychological insulin resistance (PIR) among insulin naïve T2DM patients. Methods: A cross-sectional study using interviewer assisted questionnaires was conducted among adult insulin naïve T2DM patients in government health clinics at a district of Penang, Malaysia. Insulin Treatment Appraisal Scale (ITAS) was used to assess the dependent variable (PIR) and validated self-developed questionnaires were used for assess the independent variables (socio-demographic characteristics, diabetes profile, and individual factors). Multiple linear regression analysis was performed to identify the predictors of PIR. Results: As high as 72.7% out of 385 participants were reluctant to initiate insulin therapy. Emotional factors (fears), perceived personal failure and perceived severity significantly predicted higher PIR whereas perceived benefit and self-efficacy significantly predicted lower PIR. Total 49.8% variability of PIR was explained by the entire individual predictors (R2=49.8%, p = 0.001). Emotional factor was the strongest predictor. Conclusion: This study revealed a high level of PIR among Malaysian T2DM patients. It is vital to tackle the predictors that predict high PIR and strengthen the predictors that lead to low PIR in our health education and health intervention programs.

Matched MeSH terms: Regression Analysis
Fulltext Angiotensinogen M235T gene variants and its association with essential hypertension and plasma renin activity in Malaysian subjects: a case control study

Say YH, Ling KH, Duraisamy G, Isaac S, Rosli R

BMC Cardiovasc Disord, 2005;5(1):7.
PMID: 15811183

Essential hypertension is a major public health concern worldwide where its prevalence accounts for various cerebrovascular diseases. A common molecular variant of angiotensinogen (AGT), the precursor of potent vasoactive hormone angiotensin II, has been incriminated as a marker for genetic predisposition to essential hypertension in some ethnics. This case-control study was designed not only to determine the association of the AGT M235T gene variants with essential hypertension, but also its relationship to Plasma Renin Activity (PRA) in subjects attending the Health Clinic, Kuala Lumpur, Malaysia.

Matched MeSH terms: Regression Analysis
Fulltext Prevalence and predictors of intestinal worm infections among Semai aboriginal tribe school children in Tapah, Malaysia

Tunbosun, Olawumi Edward, Rampal, Lekhraj, Hejar Abdul Rahman, Roslaini Abdul Majid

Malaysian Journal of Medicine and Health Sciences, 2017;13(1):28-34.
MyJurnal

Introduction: Worm infection is one of the major global public health problems especially among rural communities.
Objectives: to determine the prevalence of intestinal worm infection and factors associated among Semai Aboriginal
children aged between 6 to 13 years in Tapah, Malaysia. Methods: A cross-sectional study design was used in this
study. The estimated sample size was 508. Data was collected using a validated pretested questionnaire. Faecal
samples were also examined. Data was analysed using SPSS version 22. Results: The response rate was 80.9%.
The overall mean age of the 411 respondents was 10.1 years(95% CI = 9.89, 10.22). Majority (71.5%) were poor.
Prevalence of intestinal worm infections was 60.8% and 57.2% had multiple infections. The multiple logistic
regression analysis showed that those with poor hygiene practices were 2.18 times the odds of worm infection
when compared with children with good hygiene practices (95% CI = 1.4, 3.4). Similarly, poor attitudes towards
prevention of worm infection increased the odds of having worm infection by 1.62 times among Orang Asli children.
Children living without toilets had 2.45 times higher odds as compared with those who had proper toilets. Absence
of river near by these areas where there is no safe water supply also increases the risk of worm infection among
children by 1.84 times among Orang Asli children. Conclusions: the prevalence of worm infection is still very
high among rural Aboriginal community. Current control measures should be reassessed to enable introduction of
effective measures to reduce the worm infection among Orang Asli children.

Matched MeSH terms: Regression Analysis
Regression methods to investigate the relationship between facial measurements and widths of the maxillary anterior teeth

Isa ZM, Tawfiq OF, Noor NM, Shamsudheen MI, Rijal OM

J Prosthet Dent, 2010 Mar;103(3):182-8.
PMID: 20188241 DOI: 10.1016/S0022-3913(10)60028-5

In rehabilitating edentulous patients, selecting appropriately sized teeth in the absence of preextraction records is problematic.

Matched MeSH terms: Regression Analysis
Urbanization and carbon dioxide emissions in Singapore: evidence from the ARDL approach

Ali HS, Abdul-Rahim AS, Ribadu MB

Environ Sci Pollut Res Int, 2017 Jan;24(2):1967-1974.
PMID: 27798805 DOI: 10.1007/s11356-016-7935-z

The main aim of this article is to examine empirically the impact of urbanization on carbon dioxide emissions in Singapore from 1970 to 2015. The autoregressive distributed lags (ARDL) approach is applied within the analysis. The main finding reveals a negative and significant impact of urbanization on carbon emissions in Singapore, which means that urban development in Singapore is not a barrier to the improvement of environmental quality. Thus, urbanization enhances environmental quality by reducing carbon emissions in the sample country. The result also highlighted that economic growth has a positive and significant impact on carbon emissions, which suggests that economic growth reduces environmental quality through its direct effect of increasing carbon emissions in the country. Despite the high level of urbanization in Singapore, which shows that 100 % of the populace is living in the urban center, it does not lead to more environmental degradation. Hence, urbanization will not be considered an obstacle when initiating policies that will be used to reduce environmental degradation in the country. Policy makers should consider the country's level of economic growth instead of urbanization when formulating policies to reduce environmental degradation, due to its direct impact on increasing carbon dioxide emissions.

Matched MeSH terms: Regression Analysis
How well can signs and symptoms predict AMI in the Malaysian population?

Bulgiba AM, Razaz M

Int J Cardiol, 2005 Jun 22;102(1):87-93.
PMID: 15939103

The aim of the study was to use data from an electronic medical record system (EMR) to look for factors that would help us diagnose acute myocardial infarction (AMI) with the ultimate aim of using these factors in a decision support system for chest pain. We extracted 887 records from the electronic medical record system (EMR) in Selayang Hospital, Malaysia. We cleaned the data, extracted 69 possible variables and performed univariate and multivariate analysis. From the univariate analysis we find that 22 variables are significantly associated with a diagnosis of AMI. However, multiple logistic regression reveals that only 9 of these 22 variables are significantly related to a diagnosis of AMI. Race (Indian), male sex, sudden onset of persistent crushing pain, associated sweating and a history of diabetes mellitus are significant predictors of AMI. Pain that is relieved by other means and history of heart disease on treatment are important predictors of a diagnosis other than AMI. The degree of accuracy is high at 80.5%. There are 13 factors that are significant in the univariate analysis but are not among the nine significant factors in the multivariate analysis. These are location of pain, associated palpitations, nausea and vomiting; pain relieved by rest, pain aggravated by posture, cough, inspiration and exertion; age more than 40, being a smoker and abnormal chest wall and face examination. We believe that these findings can have important applications in the design of an intelligent decision support system for use in medical care as the predictive capability can be further refined with the use of intelligent computational techniques.

Matched MeSH terms: Regression Analysis
Enhanced mu rhythm extraction using blind source separation and wavelet transform

Ng SC, Raveendran P

IEEE Trans Biomed Eng, 2009 Aug;56(8):2024-34.
PMID: 19457744 DOI: 10.1109/TBME.2009.2021987

The mu rhythm is an electroencephalogram (EEG) signal located at the central region of the brain that is frequently used for studies concerning motor activity. Quite often, the EEG data are contaminated with artifacts and the application of blind source separation (BSS) alone is insufficient to extract the mu rhythm component. We present a new two-stage approach to extract the mu rhythm component. The first stage uses second-order blind identification (SOBI) with stationary wavelet transform (SWT) to automatically remove the artifacts. In the second stage, SOBI is applied again to find the mu rhythm component. Our method is first compared with independent component analysis with discrete wavelet transform (ICA-DWT) as well as SOBI-DWT, ICA-SWT, and regression method for artifact removal using simulated EEG data. The results showed that the regression method is more effective in removing electrooculogram (EOG) artifacts, while SOBI-SWT is more effective in removing electromyogram (EMG) artifacts as compared to the other artifact removal methods. Then, all the methods are compared with the direct application of SOBI in extracting mu rhythm components on simulated and actual EEG data from ten subjects. The results showed that the proposed method of SOBI-SWT artifact removal enhances the extraction of the mu rhythm component.

Matched MeSH terms: Regression Analysis
Work Ability and Its Related Factors Among Workers in Small and Medium Enterprises: Comparison Among Four ASEAN Countries

Kaewboonchoo O, Isahak M, Susilowati I, Phuong TN, Morioka I, Harncharoen K, et al.

Asia Pac J Public Health, 2016 Jul;28(5):438-49.
PMID: 27273897 DOI: 10.1177/1010539516651957

Work ability is related to many factors that might influence one's capacity to work. This study aimed to examine the work ability and its related factors among small and medium enterprises (SME) workers in 4 Association of Southeast Asian Nations (ASEAN) countries. The participants in this study included 2098 workers from food and textile industries in Indonesia, Malaysia, Thailand, and Vietnam. A cross-sectional survey of anonymous self-administrated questionnaire was designed to collect information on sociodemographic factors, work environment and ergonomic condition, musculoskeletal disorders, and work ability. Bivariate correlation coefficient and multiple linear regression analyses were used to predict the work ability. Results of this study confirm that work ability in 4 ASEAN countries was similar to that in European countries, and that the sociodemographic factors, work environment and ergonomic condition, and musculoskeletal disorder (MSD) were associated with work ability. These factors are important for considering occupational health and safety policy to promote work ability in food, textile, and other SME workers.

Matched MeSH terms: Regression Analysis
Fulltext The Relationship between Emotional Intelligence and Job Stress among Nurses in Shiraz, Iran

Rakhshani T, Motlagh Z, Beigi V, Rahimkhanli M, Rashki M

Malays J Med Sci, 2018 Nov;25(6):100-109.
PMID: 30914883 DOI: 10.21315/mjms2018.25.6.10

Background: Nursing is a stressful occupation, and nurses face multiple stressors daily. Emotional intelligence causes an individual to overcome environmental stresses. The aim of the present study was to determine the relationship between emotional intelligence and job stress among nurses in Shiraz.
Methods: A cross-sectional study was conducted with 500 nurses, selected through multistage cluster sampling, from the hospitals in Shiraz in 2017. The data collection tools were the Siberia Schering's Emotional Intelligence Standard Questionnaire and the Hospital Job Stress Standard Questionnaire, completed through the self-report method. The data were analysed using SPSS 22 software.
Results: The mean scores of emotional intelligence and job stress were 113.59 ± 14.70 (total score = 165) and 97.10 ± 14.27 (total score = 175), respectively. The correlation test showed that there was an inverse relationship between emotional intelligence and job stress (r = -0.474, P < 0.001). Also, the multiple linear regression analysis showed that self-awareness, social consciousness, and income predicted 25% of the job stress in the subjects under study (r2 = 0.25).
Conclusion: Regarding the relatively strong and inverse relationship between the nurses' emotional intelligence and job stress, it is suggested that emotional intelligence workshops be included in the in-service training programs of the nurses.

Matched MeSH terms: Regression Analysis
Fulltext Prevalence and factors associated with prediabetes and diabetes in fishing communities in Penang, Malaysia: A cross-sectional study

Rahim FF, Abdulrahman SA, Kader Maideen SF, Rashid A

PLoS One, 2020;15(2):e0228570.
PMID: 32040497 DOI: 10.1371/journal.pone.0228570

BACKGROUND: Diabetes is a metabolic disorder, characterized by hyperglycemic state of the body. A silent killer, which can take the lives of victims if undiagnosed at the earliest stage. Prediabetes has become an important health concern across countries due to its huge potential for the development of diabetes and other complications. The objectives of this study were to determine the prevalence of prediabetes and diabetes and its associated factors among rural fishing communities in Penang, Malaysia.

METHODS: A cross-sectional study was conducted among fishing communities in Southwest District of Penang, Malaysia from August to November 2017. Blood sample (finger prick test) and physical examination were performed on sample of 168 participants consented in this study. Pre-validated Malay versions of International Physical Activity 7 (IPAQ-7) and Perceived Stress Scale (PSS) questionnaires were used to assess the level of physical activity and stress levels of the participants. Multinomial logistic regression models were fitted to identify factors associated with prediabetes and diabetes.

RESULTS: The prevalence of diabetes and prediabetes were 19.6% (95% CI: 14.3, 26.4) and 10.12% (95% CI: 6.4, 15.7) respectively. The median physical activity (interquartile range) in MET-minutes per week for those with diabetes (1071.0 (2120.0)) and prediabetes (1314.0 (1710.0)) was generally lower as compared to non-diabetes. Majority reported moderate stress (57.3%) from PSS system. Abdominal obesity, family history of diabetes and being hypertensive were significant factors associated with diabetes; while older age, bigger waist circumference and self-perceived poor routine diet were factors associated with prediabetes.

CONCLUSIONS: The screening for prediabetes in this population gives the opportunity to implement lifestyle interventions at the earliest possible, which could prevent the development of diabetes. The identification of diabetic individuals provides an opportunity to conduct health promotion and education to ensure good metabolic control and hence reduce the risks of complications.

Matched MeSH terms: Regression Analysis
Fulltext Emotional burnout, perceived sources of job stress, professional fulfillment, and engagement among medical residents in Malaysia

Al-Dubai SA, Ganasegeran K, Perianayagam W, Rampal KG

ScientificWorldJournal, 2013;2013:137620.
PMID: 24367238 DOI: 10.1155/2013/137620

This study was the first to explore factors associated with emotional burnout (EB) among medical residents in Malaysia. A cross-sectional study was conducted in a universal sample of 205 medical residents in a Malaysian general hospital. The self-administered questionnaire used consisted of questions on sociodemographics and work characteristics, sources of job stress, professional fulfillment, engagement, and EB. EB was measured using the emotional exhaustion subscale, the Maslach Burnout Inventory (MBI). Mean (±SD) age of the respondents was 26.5 (±1.6). The most common source of job stress was "fear of making mistakes." Most of the participants were dissatisfied with the increase of residentship period from one year to two years. A high level of EB was reported by 36.6% of the respondents. In multivariate analysis, the most important correlates of EB were sources of job stress, professional fulfillment, and engagement. A high prevalence of EB was found among medical residents. Sociodemographic characteristics, performance pressure, and satisfaction with policies were significantly associated with EB. Although this study was limited by its cross-sectional design, its findings posit a sufficient foundation to relevant authorities to construct, amend, and amalgamate existing and future policies. Nothing will sustain you more potently than the power to recognize in your humdrum routine, as perhaps it may be thought, the true poetry of life-the poetry of the common place, of the common man, of the plain, toil-worn woman, with their loves and their joys, their sorrows and their grief.SirWilliam Osler, Aphorisms from the Student Life (Aequanimitas, 1952).

Matched MeSH terms: Regression Analysis
Epithelial migration of the postmyringoplasty tympanic membrane

Deong KK, Prepageran N, Raman R

Otol Neurotol, 2006 Sep;27(6):855-8.
PMID: 16936572

To determine whether the postmyringoplasty tympanic membrane (TM) behaves in a similar way compared with a healthy nonoperated eardrum by calculating and comparing the epithelial migration rate and pattern.

Matched MeSH terms: Regression Analysis
Fulltext The antecedents of job performance among nurses working in malaysian government hospitals, age being a moderator

Pavitira Manogaran, Rajendran Muthuveloo

The Malaysian Journal of Nursing, 2019;11(1):1-9.
MyJurnal

Purpose:The aim of this study was to investigate the relationship between workplace mindfulness, cognition, emotion, behaviour and psychology on job performance. In addition, age was tested as the moderating factor on the relationship between workplace mindfulness, cognition, emotion, behaviour and psychology on job performance. Method: The research was conducted on nurses working in Malaysian government hospitals among 127 respondents were chosen. Data was collected from the respondents using a structured questionnaire. The data were analysed with factor analysis, reliability test and multiple regression analysis. Results: Results indicated that only workplace mindfulness, cognition and behaviour had a positive significant influence on job performance. Age moderated the relationship between the cognition, behaviour and psychology positively and significantly on job performance. Contribution: The Malaysian government hospital management is suggested to focus on these three factors in order to overcome job performance issue among nurses.

Matched MeSH terms: Regression Analysis
Modified-BRISQUE as no reference image quality assessment for structural MR images

Chow LS, Rajagopal H

Magn Reson Imaging, 2017 11;43:74-87.
PMID: 28716679 DOI: 10.1016/j.mri.2017.07.016

An effective and practical Image Quality Assessment (IQA) model is needed to assess the image quality produced from any new hardware or software in MRI. A highly competitive No Reference - IQA (NR - IQA) model called Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) initially designed for natural images were modified to evaluate structural MR images. The BRISQUE model measures the image quality by using the locally normalized luminance coefficients, which were used to calculate the image features. The modified-BRISQUE model trained a new regression model using MR image features and Difference Mean Opinion Score (DMOS) from 775 MR images. Two types of benchmarks: objective and subjective assessments were used as performance evaluators for both original and modified-BRISQUE models. There was a high correlation between the modified-BRISQUE with both benchmarks, and they were higher than those for the original BRISQUE. There was a significant percentage improvement in their correlation values. The modified-BRISQUE was statistically better than the original BRISQUE. The modified-BRISQUE model can accurately measure the image quality of MR images. It is a practical NR-IQA model for MR images without using reference images.

Matched MeSH terms: Regression Analysis
Fulltext Costs associated with tuberculosis diagnosis and treatment in Yemen for patients and public health services

Othman GQ, Ibrahim MI, Raja'a YA

East Mediterr Health J, 2012 Apr;18(4):393-8.
PMID: 22768704

This study determined the costs associated with tuberculosis (TB) diagnosis and treatment for the public health services and patients in Sana'a, Yemen. Data were collected prospectively from 320 pulmonary and extrapulmonary TB patients (160 each) who were followed until completion of treatment. Direct medical and nonmedical costs and indirect costs were calculated. The proportionate cost to the patients for pulmonary TB and extrapulmonary TB was 76.1% arid 89.4% respectively of the total for treatment. The mean cost to patients for pulmonary and extrapulmonary TB treatment was US$ 108.4 and US$ 328.0 respectively. The mean cost per patient to the health services for pulmonary and extrapulmonary TB treatment was US$ 34.0 and US$ 38.8 respectively. For pulmonary and extrapulmonary TB, drug treatment represented 59.3% and 77.9% respectively of the total cost to the health services. The greatest proportionate cost to patients for pulmonary TB treatment was time away from work (67.5% of the total cost), and for extrapulmonary TB was laboratory and X-ray costs (55.5%) followed by transportation (28.6%).

Matched MeSH terms: Regression Analysis
Humidification mitigates acute mucosal toxicity during radiotherapy when factoring volumetric parameters. Trans Tasman Radiation Oncology Group (TROG) RadioHUM 07.03 substudy

Macann A, Fauzi F, Simpson J, Sasso G, Krawitz H, Fraser-Browne C, et al.

Oral Oncol, 2017 12;75:75-80.
PMID: 29224827 DOI: 10.1016/j.oraloncology.2017.10.021

PURPOSE/OBJECTIVE(S): To model in a subset of patients from TROG 07.03 managed at a single site the association between domiciliary based humidification use and mucositis symptom burden during radiotherapy (RT) for head and neck cancer (HNC) when factoring in volumetric radiotherapy parameters derived from tumour and normal tissue regions of interest.
MATERIALS/METHODS: From June 2008 through June 2011, 210 patients with HNC receiving RT were randomised to either a control arm or humidification using the Fisher & Paykel Healthcare MR880 humidifier. This subset analysis involves patients recruited from Auckland City Hospital treated with a prescribed dose of ≥70 Gy. Regression models included control variables for Planning Target Volume 70 GY (PTV70Gy); Equivalent Uniform Dose (EUD) MOIST and TSV (surrogates of total mucosal and total swallowing volumes respectively).
RESULTS: The analysis included 39 patients (humidification 20, control 19). There was a significant odds reduction in CTCAE v3.0 functional mucositis score of 0.29 associated with the use of humidification (p

Matched MeSH terms: Regression Analysis
A monte carlo simulation study on high leverage collinearity-enhancing observation and its effect on multicollinearity pattern

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

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