Displaying publications 81 - 100 of 437 in total

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  1. Al-Fakih AM, Algamal ZY, Lee MH, Aziz M, Ali HTM
    SAR QSAR Environ Res, 2019 Feb;30(2):131-143.
    PMID: 30734580 DOI: 10.1080/1062936X.2019.1568298
    An improved binary differential search (improved BDS) algorithm is proposed for QSAR classification of diverse series of antimicrobial compounds against Candida albicans inhibitors. The transfer functions is the most important component of the BDS algorithm, and converts continuous values of the donor into discrete values. In this paper, the eight types of transfer functions are investigated to verify their efficiency in improving BDS algorithm performance in QSAR classification. The performance was evaluated using three metrics: classification accuracy (CA), geometric mean of sensitivity and specificity (G-mean), and area under the curve. The Kruskal-Wallis test was also applied to show the statistical differences between the functions. Two functions, S1 and V4, show the best classification achievement, with a slightly better performance of V4 than S1. The V4 function takes the lowest iterations and selects the fewest descriptors. In addition, the V4 function yields the best CA and G-mean of 98.07% and 0.977%, respectively. The results prove that the V4 transfer function significantly improves the performance of the original BDS.
    Matched MeSH terms: Regression Analysis
  2. Ng SC, Kaplan GG, Tang W, Banerjee R, Adigopula B, Underwood FE, et al.
    Am J Gastroenterol, 2019 01;114(1):107-115.
    PMID: 30177785 DOI: 10.1038/s41395-018-0233-2
    INTRODUCTION: Living in an urban environment may increase the risk of developing inflammatory bowel disease (IBD). It is unclear if this observation is seen globally. We conducted a population-based study to assess the relationship between urbanization and incidence of IBD in the Asia-Pacific region.

    METHODS: Newly diagnosed IBD cases between 2011 and 2013 from 13 countries or regions in Asia-Pacific were included. Incidence was calculated with 95% confidence interval (CI) and pooled using random-effects model. Meta-regression analysis was used to assess incidence rates and their association with population density, latitude, and longitude.

    RESULTS: We identified 1175 ulcerative colitis (UC), 656 Crohn's disease (CD), and 37 IBD undetermined (IBD-U). Mean annual IBD incidence per 100 000 was 1.50 (95% CI: 1.43-1.57). India (9.31; 95% CI: 8.38-10.31) and China (3.64; 95% CI, 2.97-4.42) had the highest IBD incidence in Asia. Incidence of overall IBD (incidence rate ratio [IRR]: 2.19; 95% CI: 1.01-4.76]) and CD (IRR: 3.28; 95% CI: 1.83-9.12) was higher across 19 areas of Asia with a higher population density. In China, incidence of IBD (IRR: 2.37; 95% CI: 1.10-5.16) and UC (IRR: 2.63; 95% CI: 1.2-5.8) was positively associated with gross domestic product. A south-to-north disease gradient (IRR: 0.94; 95% CI: 0.91-0.98) was observed for IBD incidence and a west-to-east gradient (IRR: 1.14; 95% CI: 1.05-1.24) was observed for CD incidence in China. This study received IRB approval.

    CONCLUSIONS: Regions in Asia with a high population density had a higher CD and UC incidence. Coastal areas within China had higher IBD incidence. With increasing urbanization and a shift from rural areas to cities, disease incidence may continue to climb in Asia.

    Matched MeSH terms: Regression Analysis
  3. Nordin RB, Soni T, Kaur A, Loh KP, Miranda S
    Singapore Med J, 2019 Jan;60(1):40-47.
    PMID: 29774359 DOI: 10.11622/smedj.2018049
    INTRODUCTION: Erectile dysfunction (ED) is a serious global burden that affects men as well as their partners. This study aimed to determine the prevalence and predictors of ED among male outpatient clinic attendees in Johor, Malaysia.

    METHODS: We conducted a cross-sectional study of Malaysian men aged ≥ 18 years attending two major outpatient clinics in Johor Bahru and Segamat in Johor, Malaysia, between 1 January 2016 and 31 March 2016. Subjects were chosen via simple random sampling and 400 patients were recruited. The study instrument was a survey form that consisted of three sections: sociodemographic and comorbid profile, validated English and Malay versions of the 15-item International Index of Erectile Function, and the 21-item Depression Anxiety Stress Scale.

    RESULTS: The overall prevalence of self-reported ED was 81.5%. The prevalence of ED according to severity was as follows: mild (17.0%), mild to moderate (23.8%), moderate (11.3%) and severe (29.5%). Multivariate analysis showed that ED was associated with increasing age (odds ratio [OR] 4.023, 95% confidence interval [CI] 1.633-9.913), Indian as compared to Malay ethnicity (OR 3.252, 95% CI 1.280-8.262), secondary as compared to tertiary education (OR 2.171, 95% CI 1.203-3.919), single as compared to married status (OR 6.119, 95% CI 2.542-14.734) and stress (OR 4.259, 95% CI 1.793-10.114).

    CONCLUSION: ED has significant prevalence and severity among adult male outpatient clinic attendees in Johor. Increasing age, Indian ethnicity, lower educational level, singlehood and stress were significant predictors of ED.

    Matched MeSH terms: Regression Analysis
  4. Nur Zania Azurin Abdullah Sani, Ahmad Shazeer Mohamed Thaheer, Zahariah Mohd Zain
    MyJurnal
    Internationalization procedure of small to medium-sized enterprises (SMEs) is part of the increasing economy. The study aims to identify relationships between the factors influencing the SMEs to internationalize and identifying the most impactful factor that affects the internationalization of SMEs. The factors affecting internationalization of SMEs identified were external, internal, networking as well as barriers and challenges. The study focusses on SMEs in the service sector in Klang Valley, Malaysia. The methods used to conduct the survey is by distributing the questionnaire through email. There are 100 selected SMEs in the service sector which are listed in SME Corp Malaysia website and MATRADE website. Regardless of whether the SME’s are practising international business or not, they will still be one of the potential respondents. The data were examined and obtained using the statistical software SPSS. The analysis used is reliability analysis, correlation analysis and regression analysis to meet the research objectives. The expected outcome from this research is to analyze the factors that will impact the internationalization of SMEs. The results of the analysis show that all the variables have a low positive correlation. The most influential factors that effects SMEs decision to go international are barriers and challenges.
    Matched MeSH terms: Regression Analysis
  5. Hafizuddin Awang, Azriani Ab Rahman, Surianti Sukeri, Noran Hashim, Nik Rubiah Nik Abdul Rashid
    MyJurnal
    Introduction: The Ministry of Health Malaysia introduced the national best practices for adolescent-friendly health services in 2018 and it served as an assessment tool in the accreditation of adolescent-friendly clinic status. This study was conducted in Kelantan with the objective to determine the proportion of adolescent-friendly clinics and its determinants and perceptions of healthcare providers regarding the facilitating factors in providing adoles-cent-friendly health services. Methods: The research design was sequential explanatory mixed method. State wide clinics assessment was done to estimate the proportion of adolescent-friendly clinics and to determine the factors associated with adolescent-friendly health services provision. Perceptions of healthcare providers on the facilitating factors for adolescent-friendly health services were explored through in-depth interviews. Descriptive statistics and linear regression analysis were performed for quantitative data, and thematic analysis for qualitative data. Results: Out of 85 health clinics, 30 (35.3%) clinics were accredited as adolescent-friendly. Availability of trained health-care providers in adolescent health modules, private room for adolescent counselling, dedicated team in charge of adolescent programme and adolescent health promotional activities were the statistically significant determinants for adolescent-friendly health services (p
    Matched MeSH terms: Regression Analysis
  6. Chia Yee Kang, Salmiah Md Said, Rosliza Abdul Manaf
    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
  7. Cheah WL, Edmund Shin CV, Ayu Akida AR
    Malays Fam Physician, 2019;14(1):2-9.
    PMID: 31289625
    Introduction: This study aimed to determine the blood pressure profile for preschool children in Kuching Sarawak and its relationship with sociodemographic characteristics, nutritional status and parental hypertension.

    Methods: This was a cross sectional study conducted in a government preschool in Kuching district from January to June 2017. Data were collected using questionnaire as well as anthropometric and blood pressure measurements. Data were entered into and analyzed using SPSS Version 22.

    Results: A total of 229 preschool children participated in this study (response rate of 81%). About 9.7% of the respondents were at risk for hypertension. The mean systolic blood pressure was 95.6 mmHg (SD=8.36), and the mean diastolic blood pressure was 59.9 mmHg (SD=6.09). Ten percent of the children were overweight and 7.4% were obese. Binary logistics regression analysis indicated that gender (Male: OR = 3.085, p< 0.05), parent's education level (comparing primary education and below with secondary education: OR = 4.88, p<0.05; comparing primary education and below tertiary education: OR = 7.63, p<0.05) and ethnicity (comparing Malay with Chinese: OR = 0.10, p< 0.01) were significantly associated with being at risk for hypertension.

    Conclusion: The study showed that 9.7% of the children were at risk for hypertension and that 17.4% had abnormal body weights. Identifying and tackling the factors leading to these issues will help to improve and ensure a better quality of non-communicable disease programs offered in primary health clinics and school health programs.

    Matched MeSH terms: Regression Analysis
  8. Ghazvinian H, Mousavi SF, Karami H, Farzin S, Ehteram M, Hossain MS, et al.
    PLoS One, 2019;14(5):e0217634.
    PMID: 31150467 DOI: 10.1371/journal.pone.0217634
    Solar energy is a major type of renewable energy, and its estimation is important for decision-makers. This study introduces a new prediction model for solar radiation based on support vector regression (SVR) and the improved particle swarm optimization (IPSO) algorithm. The new version of algorithm attempts to enhance the global search ability for the PSO. In practice, the SVR method has a few parameters that should be determined through a trial-and-error procedure while developing the prediction model. This procedure usually leads to non-optimal choices for these parameters and, hence, poor prediction accuracy. Therefore, there is a need to integrate the SVR model with an optimization algorithm to achieve optimal choices for these parameters. Thus, the IPSO algorithm, as an optimizer is integrated with SVR to obtain optimal values for the SVR parameters. To examine the proposed model, two solar radiation stations, Adana, Antakya and Konya, in Turkey, are considered for this study. In addition, different models have been tested for this prediction, namely, the M5 tree model (M5T), genetic programming (GP), SVR integrated with four different optimization algorithms SVR-PSO, SVR-IPSO, Genetic Algorithm (SVR-GA), FireFly Algorithm (SVR-FFA) and the multivariate adaptive regression (MARS) model. The sensitivity analysis is performed to achieve the highest accuracy level of the prediction by choosing different input parameters. Several performance measuring indices have been considered to examine the efficiency of all the prediction methods. The results show that SVR-IPSO outperformed M5T and MARS.
    Matched MeSH terms: Regression Analysis
  9. Nikitina L, Paidi R, Furuoka F
    PLoS One, 2019;14(1):e0210668.
    PMID: 30640925 DOI: 10.1371/journal.pone.0210668
    Quantitative applied linguistics research often takes place in restricted settings of an intact language classroom, workplace, phonetics laboratory or longitudinal sample. In such settings the samples tend to be small, which raises several methodological problems. The main aim of the current paper is to give a detailed explanation of methodological and practical implications inherent in a robust statistical method called bootstrapped quantile regression (BQR) analysis. Importantly for applied linguistics research, the BQR method could help to deal with methodological difficulties inherent in small sample studies. The current study employed a moderately small sample (N = 27) of students learning the Japanese language in a Malaysian public university. It examined the relationships between the students' language learning motivation (specifically, integrative orientation), the students' images or stereotypes about Japan and their global attitudes toward the target language country and its people. The findings indicated that there was a statistically significant relationship between the students' attitudes toward the target language country and their integrative orientation. In addition, these attitudes were found to be the most constant determinant of the integrative orientation. Besides the applied linguistics research, the BQR method can be used in a variety of the human sciences research where a sample size is small.
    Matched MeSH terms: Regression Analysis
  10. Wong HY, Subramaniyan M, Bullen C, Amer Siddiq AN, Danaee M, Yee A
    Tob Induc Dis, 2019;17:65.
    PMID: 31582954 DOI: 10.18332/tid/111355
    INTRODUCTION: The mobile-phone-based Bedfont iCOTM Smokerlyzer® is of unknown validity and reproducibility compared to the widely-used piCO+ Smokerlyzer®. We aimed to compare the validity and reproducibility of the iCOTM Smokerlyzer® with the piCO+ Smokerlyzer® among patients reducing or quitting tobacco smoking.

    METHODS: Methadone-maintained therapy (MMT) users from three centers in Malaysia had their exhaled carbon monoxide (eCO) levels recorded via the piCO+ and iCOTM Smokerlyzers®, their nicotine dependence assessed with the Malay version of the Fagerström Test for Nicotine Dependence (FTND-M), and daily tobacco intake measured via the Opiate Treatment Index (OTI) Tobacco Q-score. Pearson partial correlations were used to compare the eCO results of both devices, as well as the corresponding FTND-M scores.

    RESULTS: Among the 146 participants (mean age 47.9 years, 92.5% male, and 73.3% Malay ethnic group) most (55.5%) were moderate smokers (6-19 cigarettes/day). Mean eCO categories were significantly correlated between both devices (r=0.861, p<0.001), and the first and second readings were significantly correlated for each device (r=0.94 for the piCO+ Smokerlyzer®, p<0.001; r=0.91 for the iCOTM Smokerlyzer®, p<0.001). Exhaled CO correlated positively with FTND-M scores for both devices. The post hoc analysis revealed a significantly lower iCOTM Smokerlyzer® reading of 0.82 (95% CI: 0.69-0.94, p<0.001) compared to that of the piCO+ Smokerlyzer®, and a significant intercept of -0.34 (95% CI: -0.61 - -0.07, p=0.016) on linear regression analysis, suggesting that there may be a calibration error in one or more of the iCOTM Smokerlyzer® devices.

    CONCLUSIONS: The iCOTM Smokerlyzer® readings are highly reproducible compared to those of the piCO+ Smokerlyzer®, but calibration guidelines are required for the mobile-phone-based device. Further research is required to assess interchangeability.

    Matched MeSH terms: Regression Analysis
  11. Izni Syamsina Saari, Nor Adila Kedin, Ainon Syazana Ab Hamid, Mohd Amirul Atan
    ESTEEM Academic Journal, 2019;15(1):33-43.
    MyJurnal
    In Malaysia, gastric cancer (also known as stomach cancer) is diagnosed at a complex stage and has poor prognosis. Most mortality cases due to gastric cancer diseases are potentially preventable. Thus greater efforts are needed for gastric cancer awareness to give adequate knowledge for Malaysians in order to be more cautious or alert in diagnosing the ailment much earlier. After all, early detection is the key towards improving the survival rate in gastric cancer patients. Hence, the aim of this study is to assess the youngsters’ awareness on the risk factors of gastric cancer. A survey using online forms was conducted on 350 students of UiTM Melaka, Alor Gajah Campus, to assess their awareness of risk factors regarding gastric cancer. Based on the regression analysis conducted, it can be highlighted that attitudes, knowledge, medication, education level and faculty (dummy) are some of the variables that were found to be the risk factors of the awareness on gastric cancer among these selected youngsters in the 21st century.
    Matched MeSH terms: Regression Analysis
  12. Siti Hafizan Hassan, Hamidi Abdul Aziz, Mohd Samsudin Abdul Hamid, Siti Rashidah Mohd Nasir, Suhailah Mohamed Noor
    ESTEEM Academic Journal, 2019;15(2):11-23.
    MyJurnal
    The effect of unmanageable construction waste is an unstable land settlement and groundwater pollution. In addition to environmental pollution, construction waste could incur construction cost. The most construction waste is the material used at sites and tile is also a part of the waste generated in construction. The objectives of this study are to determine the tile waste generated in construction stages and linear regression analysis for the amount of tile waste generated. The method used in this study was the Linear Regression Model. The regression model established in the sample data reported an R2 value of 0.793; therefore, the model can predict approximately 79.3% of the factor (area) of tile waste generation. The linear regressions can be applied as tools to predict the tile waste generated at construction sites and help the contractor to track the sources of missing waste.
    Matched MeSH terms: Regression Analysis
  13. AINATUN NABIHAH MOHD SHUKRI, AZIZUL YADI YAAKOP, KALSITINOOR SET
    MyJurnal
    Millions of Muslims from all over the world perform Umrah and Hajj every year. There were 250,000 pilgrims from Malaysia in 2017, and the number is expected to grow by 20 percent in 2018. This projected increase will create a huge demand for Umrah and Hajj travel agencies’ services in Malaysia. At present, there are 328 Umrah and Hajj travel agencies registered under Malaysia’s Ministry of Tourism and Culture (MOTAC). However, the supposedly bright outlook maybe marred by undesirable consequences. Along with the increase in the number of Umrah and Hajj travel agencies, there also tends to be an increase in fraud Umrah packages offered by fake agents in Malaysia. Such incidents will cause sadness and anger in the victims and other involved parties. Umrah package fraud involving fake agents in Malaysia has attracted the attention of many including the public, the government, the private sector, even the media. Nevertheless, studies on correlation between Muslim travellers’ perception of the quality of service by Umrah travel agencies and their decision to purchase the Umrah package are scarce in Malaysia. Hence, this study investigated Muslim travellers’ perception of Umrah and Hajj travel agencies’ service quality and its influence on their decision to purchase the Umrah package, in an attempt to discover why some Muslim travellers fell into fake agents’ trap in Malaysia. A total of 319 Muslim respondents completed the questionnaire on service quality perception, specifically service quality elements and loyalty. The data obtained was examined using SPSS version 25 for descriptive and regression analysis. Umrah and Hajj travel agencies as well as relevant government agencies could use the findings of the study to assist with formulating plans and policies to improve the quality of service by Umrah and Hajj industry players and awareness among Muslim travellers on the importance of being able to identify bogus agencies. The limitations, implications andsuggestions for future research are also discussed.
    Matched MeSH terms: Regression Analysis
  14. Pavitira Manogaran, Rajendran Muthuveloo
    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
  15. Ruslan SA, Muharam FM, Zulkafli Z, Omar D, Zambri MP
    PLoS One, 2019;14(10):e0223968.
    PMID: 31626637 DOI: 10.1371/journal.pone.0223968
    Metisa plana (Walker) is a leaf defoliating pest that is able to cause staggering economical losses to oil palm cultivation. Considering the economic devastation that the pest could bring, an early warning system to predict its outbreak is crucial. The state of art of satellite technologies are now able to derive environmental factors such as relative humidity (RH) that may influence pest population's fluctuations in rapid, harmless, and cost-effective manners. This study examined the relationship between the presence of Metisa plana at different time lags and remote sensing (RS) derived RH by using statistical and machine learning approaches. Metisa plana census data of cumulated larvae instar 1, 2, 3, and 4 were collected biweekly in 2014 and 2015 in an oil palm plantation in Muadzam Shah, Pahang, Malaysia. Relative humidity values derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images were apportioned to 6 time lags; 1 week (T1), 2 weeks (T2), 3 week (T3), 4 weeks (T4), 5 week (T5) and 6 weeks (T6) and paired with the respective census data. Pearson's correlation was carried out to analyse the relationship between Metisa plana and RH at different time lags. Regression analyses and artificial neural network (ANN) were also conducted to develop the best prediction model of Metisa plana's outbreak. The results showed relatively high correlations, positively or negatively, between the presences of Metisa plana with RH ranging from 0.46 to 0.99. ANN was found to be superior to regression models with the adjusted coefficient of determination (R2) between the actual and predicted Metisa plana values ranging from 0.06 to 0.57 versus 0.00 to 0.05. The analysis on the best time lags illustrated that the multiple time lags were more influential on the Metisa plana population than the individual time lags. The best Metisa plana prediction model was derived from T1, T2 and T3 multiple time lags modelled using the ANN algorithm with R2 value of 0.57, errors below 1.14 and accuracies above 93%. Based on the result of this study, the elucidation of Metisa plana's landscape ecology was possible with the utilization of RH as the predictor variable in consideration of the time lag effects of RH on the pest's population.
    Matched MeSH terms: Regression Analysis
  16. Li J, Ugalde-Morales E, Wen WX, Decker B, Eriksson M, Torstensson A, et al.
    Cancer Res, 2018 11 01;78(21):6329-6338.
    PMID: 30385609 DOI: 10.1158/0008-5472.CAN-18-1018
    Genetic variants that increase breast cancer risk can be rare or common. This study tests whether the genetic risk stratification of breast cancer by rare and common variants in established loci can discriminate tumors with different biology, patient survival, and mode of detection. Multinomial logistic regression tested associations between genetic risk load [protein-truncating variant (PTV) carriership in 31 breast cancer predisposition genes-or polygenic risk score (PRS) using 162 single-nucleotide polymorphisms], tumor characteristics, and mode of detection (OR). Ten-year breast cancer-specific survival (HR) was estimated using Cox regression models. In this unselected cohort of 5,099 patients with breast cancer diagnosed in Sweden between 2001 and 2008, PTV carriers (n = 597) were younger and associated with more aggressive tumor phenotypes (ER-negative, large size, high grade, high proliferation, luminal B, and basal-like subtype) and worse outcome (HR, 1.65; 1.16-2.36) than noncarriers. After excluding 92 BRCA1/2 carriers, PTV carriership remained associated with high grade and worse survival (HR, 1.76; 1.21-2.56). In 5,007 BRCA1/2 noncarriers, higher PRS was associated with less aggressive tumor characteristics (ER-positive, PR-positive, small size, low grade, low proliferation, and luminal A subtype). Among patients with low mammographic density (<25%), non-BRCA1/2 PTV carriers were more often interval than screen-detected breast cancer (OR, 1.89; 1.12-3.21) than noncarriers. In contrast, higher PRS was associated with lower risk of interval compared with screen-detected cancer (OR, 0.77; 0.64-0.93) in women with low mammographic density. These findings suggest that rare and common breast cancer susceptibility loci are differentially associated with tumor characteristics, survival, and mode of detection.Significance: These findings offer the potential to improve screening practices for breast cancer by providing a deeper understanding of how risk variants affect disease progression and mode of detection. Cancer Res; 78(21); 6329-38. ©2018 AACR.
    Matched MeSH terms: Regression Analysis
  17. 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
  18. Ibrahim Abdalla MM, Siew Choo S
    Eur Endocrinol, 2018 Sep;14(2):94-98.
    PMID: 30349601 DOI: 10.17925/EE.2018.14.2.94
    Aims: 1) To assess salivary leptin levels in normal-underweight versus overweight and obese healthy adult males aged 18-25 years old. 2) The relative contribution of anthropometric measurements, fat percentage, fat distribution (visceral versus subcutaneous) and total as well as regional muscle mass in arms, trunk and legs respectively in predicting salivary leptin levels. Methods: A total of 92 adult males were classified into two groups based on their body mass index (BMI): normal-underweight, BMI <24.9 kg/m2 (n=51); overweight-obese, BMI >25 kg/m2 (n=41). Anthropometric measurements such as BMI, waist circumference (WC), hip circumference (HC) and waist-hip ratio (WHR) were measured through standardised methods. Fat percentage, visceral fat level, subcutaneous fat and muscle mass (total and regional) were measured using Karada scan bioelectrical impedance method. Fasting saliva samples were collected and used for assessing salivary leptin concentrations using enzyme-linked immunosorbent assay. Results: Statistical analysis of the data showed a significant difference between the two groups in all of the parameters measured except height and salivary leptin levels. Multiple regression analysis showed that HC, WC and WHR were good predictors for salivary leptin levels in normal-underweight group. However, in the overweight-obese group, height was the most important independent variable that could predict salivary leptin levels as a dependent variable. Conclusions: Predictors for salivary leptin levels in adult healthy males are different in normal-underweight subjects from overweight-obese subjects. The most important predictor for salivary leptin levels is HC in normal weight subjects, while it is height in overweight and obese healthy adult males.
    Matched MeSH terms: Regression Analysis
  19. Mohamad NA, Ramachandran V, Ismail P, Mohd Isa H, Chan YM, Ngah NF, et al.
    Bosn J Basic Med Sci, 2018 Aug 01;18(3):260-267.
    PMID: 29579408 DOI: 10.17305/bjbms.2018.2493
    Pharmacogenetic studies indicate that a variable response to anti-vascular endothelial growth factor (VEGF) therapy in patients with neovascular form of AMD (nAMD) may be due to polymorphisms in the complement factor H gene (CFH). This study is the first to investigate the association between CFH Y402H polymorphism and the response to ranibizumab therapy in Malaysian patients with nAMD. We included 134 patients with nAMD, examined between September 2014 and February 2016. The diagnosis of nAMD was confirmed by ophthalmologic examination, before ranibizumab therapy was started. Each patient received an intravitreal injection of 0.5 mg/0.05 ml ranibizumab following a treat-and-extend (TE) regimen. Best-corrected visual acuity (BCVA) and central retinal thickness (CRT) were recorded after 3 and 6 months following the first injection and compared with the baseline values. Genotyping of Y402H (rs1061170) polymorphism was performed using PCR-RFLP and the amplified product was digested with MluCI restriction enzyme. Association between the Y402H genotypes and response to treatment was determined by a logistic regression analysis of responder (n = 49) and non-responder (n = 84) group. Significantly worse mean BCVA was observed for the CC genotype compared to the TT + CT genotype in the total sample after 6-month follow-up (p = 0.018). Comparing the baseline and 6-month point measurements, improved mean BCVA was observed in responder group, while worse mean BCVA was recorded for non-responder group. However, our regression analysis, adjusted for confounding factors, showed no significant association between the Y402H genotypes and response to treatment in nAMD patients under the recessive model (p > 0.05). Overall, our results suggest that factors other than Y402H polymorphism may be involved in the progression of nAMD after treatment with anti-VEGF agents, in Malaysian population.
    Matched MeSH terms: Regression Analysis
  20. 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
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