Displaying publications 141 - 160 of 390 in total

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  1. Nur Azurah AG, Sanci L, Moore E, Grover S
    J Pediatr Adolesc Gynecol, 2013 Apr;26(2):102-8.
    PMID: 23337310 DOI: 10.1016/j.jpag.2012.11.004
    To date, very few publications have examined the health related quality of life (HRQL) in the younger population with menstrual problems, despite their high prevalence in adolescent girls. We describe the health-related quality of life (HRQL) among adolescents with menstrual problems and identified factors that have an impact on it.
    Matched MeSH terms: Linear Models
  2. Nur Arina Bazilah Kamisan, Muhammad Hisyam Lee, Suhartono Suhartono, Abdul Ghapor Hussin, Yong Zulina Zubairi
    Sains Malaysiana, 2018;47:419-426.
    Forecasting a multiple seasonal data is differ from a usual seasonal data since it contains more than one cycle in a
    data. Multiple linear regression (MLR) models have been used widely in load forecasting because of its usefulness in the
    forecast a linear relationship with other factors but MLR has a disadvantage of having difficulties in modelling a nonlinear
    relationship between the variables and influencing factors. Neural network (NN) model, on the other hand, is a good
    model for modelling a nonlinear data. Therefore, in this study, a combination of MLR and NN models has proposed this
    combination to overcome the problem. This hybrid model is then compared with MLR and NN models to see the performance
    of the hybrid model. RMSE is used as a performance indicator and a proposed graphical error plot is introduce to see the
    error graphically. From the result obtained this model gives a better forecast compare to the other two models.
    Matched MeSH terms: Linear Models
  3. Norsayani MY, Noor Hassim I
    J Occup Health, 2003 May;45(3):172-8.
    PMID: 14646293
    Medical students face the threat of needle stick injury with the consequent risk of acquiring blood-borne infection by pathogens such as HIV, Hepatitis B and Hepatitis C while performing their clinical activities in the hospitals. A cross-sectional study was conducted among 417 final year medical students from Universiti Kebangsaan Malaysia (UKM), University Malaya (UM) and Universiti Putra Malaysia (UPM). The aims of the study were to determine the incidence of cases and episodes of needle stick injury among them in the past year. This study was also done to find out the factors that might be associated with the occurrence of this problem. The factors were sociodemographic factors, duration of exposure, level of knowledge of blood-borne diseases and Universal Precaution, perception of risk of blood-borne diseases and level of practice of Universal Precaution. The incidence of needle stick injury among medical students was 14.1% (59 cases). The total number of episodes of needle stick injury was 87 and the incidence of episodes among respondents was high i.e. 20.9%. The highest incidence of episodes of needle stick injury occurred in Obstetric & Gynaecology postings, followed by Medicine and Surgery. For clinical procedures, venepuncture had the highest incidence followed by setting up drips and giving parenteral injections. The results showed the students who had needle stick injury (cases) had lower scores in the practice of Universal Precautions than non-cases (p<0.05). There was a significant association between the level of practice of Universal Precautions and the number of episodes of needle stick injury, i.e. the higher the score for the practice of Universal Precautions, the lower the number of episodes (beta=-2.03 x 10(-2), p<0.05). This study showed that medical students are at risk of needle stick injury and blood-borne infections during their clinical activities while performing procedures on patients especially for those who were poor at practising Universal Precautions. Therefore some preventive measures should be taken by the management of the universities and medical students to avoid the occurrence of these problems.
    Matched MeSH terms: Linear Models
  4. Norsa'adah B, Zainab J, Knight A
    PMID: 23972031 DOI: 10.1186/1477-7525-11-143
    Epilepsy, a chronic disorder of brain characterised by a predisposition to generate epileptic seizures, has an effect on the psychosocial well-being of sufferers. Measuring the quality of life (QOL) of people with epilepsy (PWE) is increasingly recognized as an important component of clinical management. QOL measures differ between countries and there is limited information regarding PWE in Malaysia. The aim of this study was to determine the health related QOL and its relationship with the presence of seizures in PWE at a Malaysian tertiary referral center.
    Matched MeSH terms: Linear Models
  5. Norliza Ahmad, Munn-Sann Lye, Zalilah Mohd Shariff, Firdaus Mukhtar, Lim Poh Ying
    MyJurnal
    Introduction: Childhood obesity is increasing in prevalence in Malaysia. Excess in dietary intake and inadequate physical activity contribute to the development of obesity among children. The objective of this study was to de-termine the association between eating behaviour and excess weight among primary school children in an urban community in Malaysia. Methods: This is a baseline data of a randomized control field trial of a family-based inter-vention to reduce adiposity in overweight and obese children. It involved five primary government schools in Bandar Baru Bangi, Selangor. The inclusion criteria include parent-child dyad; children aged 7 to 10 years with body mass index (BMI) z-score of +1 standard deviation or more. Parents completed the validated self-administered Children Eating Behaviour Questionnaire (CEBQ). This questionnaire assessed children’s eating behaviour that includes food responsiveness, enjoyment of food, emotional overeating, desire to drink, slowness in eating, satiety responsiveness, emotional undereating and food fussiness. The children’s weight and height were measured and the BMI z-score was calculated. The association between CEBQ subscales and obesity was assessed using multiple linear regression, adjusted for sex and family income. Results: One hundred and thirty-four parent-child dyads had participated in this study. The food responsiveness was found to be significant with excess weight (β = 0.094, 95% CI: 0.02-0.17, p= 0.014). Conclusion: The food responsiveness subscale was associated with excess weight. This eating behaviour need to be taken into consideration in the development and implementation of health campaign targeted at the re-duction of childhood obesity.
    Matched MeSH terms: Linear Models
  6. Norazsida Ramli, Syafifa Rajiman, Mohd Ramli Seman
    MyJurnal
    Hyperphosphatemia is the key abnormality that sets off a cascade of metabolic events in chronic kidney disease (CKD). End stage renal disease (ESRD) patients that undergo Continuous Ambulatory Peritoneal Dialysis (CAPD) uses the peritoneal membrane for solutes filtration and clearance. The differences on the evaluation of peritoneal membrane transport status can affect the rate of toxin removal – serum phosphorus, from the systems. The present study aimed to determine the prevalence of CAPD patients presented with high phosphate level after starting the treatment, to identify the risk factors associated with hyperphosphatemia and to find the significant correlation between the phosphate level and the PET characteristics. A retrospective study was
    applied for this research where the medical records of patients were reviewed and analyzed between January 2011 to December 2016. Data were collected successfully from 74 adult CAPD patients (41 male, 55.4% and 33 females, 44.6%), with mean age of 51.34 ± 13.75 year-old. In this study, Malays (n= 65, 87.8%) are the largest subjects recruited, while Chinese (n= 6, 8.1%) and Indians (n= 3, 4.1%) made the rest of the subjects. PET characteristics of CAPD patients showed 11 patients had high characteristic (14.9%), 24 high average (32.4%), 26 low average (35.1%) and 5 low (6.8%). There were 37 CAPD patients (50%) presented with high phosphate level after starting the treatment. Simple linear regression revealed that age (p = 0.0052), serum calcium (p= 0.0090), serum albumin (p = 0.0244), normalized protein catabolic rate (nPCR) (p =0.0126), intact parathyroid hormone (iPTH) (p = 0.0012), total creatinine clearance (p =0.0470), residual renal creatinine clearance (p = 0.390) and 24-hours urine volume output (p = 0.0060) were risk factors associated with hyperphosphatemia. Pearson’s correlation analysis showed there was no significant correlation between phosphate level and PET characteristics (r = -.232, p = 0.070) while there was significant correlation between PET characteristics and peritoneal solute clearance (r = 0.4748, p < 0.001). In conclusion, serum phosphate level may be associated with daily dietary intake, metabolism and dialysis adequacy. There was no correlation between serum phosphate level and PET characteristic suggesting the rate of the toxin removal might not been affected by the
    differences on peritoneal membrane characteristics suggesting a further understanding on transport status in terms of its mechanism of toxin removal
    Matched MeSH terms: Linear Models
  7. Noraishah Othman, Siti Kartom Kamarudin, Muhd Noor Md Yunus, Abd. Halim Shamsuddin, Siti Rozaimah, Zahirah Yaakob
    MyJurnal
    The production of carbon dioxide from Karas woods under argon atmosphere was investigated using a direct pyrolysis-combustion approach. Direct burning was used in this study, using argon for yrolysis and oxygen during combustion to look at the yield of carbon dioxide, produced at different parameters, such as the temperature, retention time and flow rate of argon, as the carrier gas. In this study, a new methodology, 23 response surface central composite design was successfully employed for the experimental design and analysis of results. Central composite experimental design and response surface method were utilized to determine the best operating condition for a maximum carbon dioxide production. Appropriate predictable empirical linear model was developed by incorporating interaction effects of all the variables involved. The results of the analysis revealed that linear equation models fitted well with the experimental for carbon dioxide yield. Nevertheless, the R-Squared obtained using the direct pyrolysis-combustion was 0.7118, indicating that the regression line was not at the best-fitted line.
    Matched MeSH terms: Linear Models
  8. Nor Hasliza, Mat Desa, Siti Zamira Aida, Mat Jusoh
    MyJurnal
    Agents are the most important marketing tools for company to become a successful in business. Agents not only operate as a channel to customers, but they also play an important role in providing customers with a variety of services before and after the sales. The main purpose of this study is to identify the factor influencing agent’s sales at an Apparel Manufacturing company. There are three categories of agents at the company namely, Trial agent, Basic agent and Premium agent. Based on the sales records in May 2018, the sales of product obtained by Trial Agent is lower than Basic and Premium Agents in this company. Therefore, this study aims to determine difference mean on record sales by agent among three categories of agents. This study also investigates the relationship between sales records by agents and years of experienced in business. Data was collected using questionnaire from 46 active agents at the company. Data was analyzed using One-way Analysis of Variance (ANOVA), Pearson correlation coefficient and Multiple Linear Regression. Result showed that there is a statistically significant difference in the mean sales records among the three of agent’s categories. Furthermore, there is a strong positive correlation between sales records by agent and years of experienced in business. Meanwhile, factors of knowledge and skills in business are most contributed to the agent’s sales. This study can help the company to create a strategic business plan and conducting several workshop trainings for agents to increase their knowledge and skills in business.
    Matched MeSH terms: Linear Models
  9. Noorhassim I, Rampal KG
    Am J Otolaryngol, 1998 8 6;19(4):240-3.
    PMID: 9692632
    PURPOSE: To determine the combined effect of smoking and age on hearing impairment.

    MATERIALS AND METHODS: Pure tone audiometry test was conducted on 263 residents of a rural village who were not exposed to noise. The pack-years of smoking were computed from the subjects' smoking history. The association between pack-years and hearing impairment was assessed. The combined effect of smoking and age on hearing impairment was determined based on prevalence rate ratio.

    RESULTS: There was a statistically significant trend in the number of pack-years of smoking and age as risk factors for hearing impairment. The prevalence rates of hearing impairment for nonsmokers aged 40 years and younger, smokers aged 40 years and younger, nonsmokers older than 40 years of age, and smokers older than 40 years of age were 6.9%, 11.9%, 29.7%, and 51.3%, respectively. The prevalence rate ratio for nonsmokers aged 40 years and younger, smokers aged 40 years and younger, nonsmokers older than 40 years of age, and smokers older than 40 years of age (nonsmokers aged 40 years and younger as a reference group) was 1, 1.7, 4.3, and 7.5, respectively. The prevalence rate ratios showed a multiplicative effect of smoking and age on hearing impairment.

    CONCLUSION: Age and smoking are risk factors for hearing impairment. It is clear that smoking and age have multiplicative adverse effects on hearing impairment.

    Matched MeSH terms: Linear Models
  10. Noor Artika Hassan, Hashim JH, Wan Puteh SE, Wan Mahiyuddin WR, Faisal MS
    MyJurnal
    Introduction: Altered weather patterns and changes in precipitation, temperature and humidity resulting
    from climate change could affect the distribution and incidence of cholera. This study is to quantify climateinduced increase in morbidity rates of cholera. Material and Methods: Monthly cholera cases and monthly
    temperature, precipitation, and relative humidity data from 2004 to 2014 were obtained from the Malaysian
    Ministry of Health and Malaysian Meteorological Department, respectively. Poisson generalized linear models
    were developed to quantify the relationship between meteorological parameters and the number of reported
    cholera cases. Results: The findings revealed that the total number of cholera cases in Malaysia during the 11
    year study period was 3841 cases with 32 deaths. Out of these, 45.1% of the cases were among children below
    12 years old and 75% of the cases were from Sabah. Temperature and precipitation gave significant impact on
    the cholera cases in Sabah, (p
    Matched MeSH terms: Linear Models
  11. Noor Aini Hussain, Mohamed Rusli Abdullah, Abdul Rahman Esa, Muzaimi Mustapha, Nasir Yusoff
    ASEAN Journal of Psychiatry, 2014;15(2):164-175.
    MyJurnal
    Objective: The involvement of families in assisting health professionals in providing care for their family members who suffer a stroke during hospitalization is common in Malaysia. Family caregivers are accountable in providing for the first-ever stroke survivor’s needs, including maintaining functional improvements gained in rehabilitation and the long-term well-being of the stroke survivors. The objective of this study was to determine the predictors of life satisfaction among family caregivers of hospitalized first-ever stroke patients. Methods: This was a cross-sectional community research design study with purposive sampling. It involved 102 family caregivers of hospitalized first-ever stroke patients of two tertiary hospitals in Kelantan. The Bakas Caregiving Outcomes Score (BCOS) was used to measure life satisfaction. Multiple linear regression was used to determine the predictors of life satisfaction. Results: Out of 102 respondents, 21 were males and 81 were females with age range of 16 to 76 years. Significant predictors of life satisfaction of caregivers while caring for their hospitalized first-ever stroke family members were caregivers’ health (β: -2.875, 95%CI: -5.725, -0.025, p = 0.048), patients’ age (β: - 4.251, 95% CI: - 6.379, -2.123, p
    Matched MeSH terms: Linear Models
  12. Nik Syaza Lina Nik Ruzman, Haliza Abdul Rahman
    MyJurnal
    Dengue fever is one of the most dangerous vector-borne diseases. According to the World Health Organization (WHO), dengue fever is a mosquito-borne infection caused by virus serotype DEN-1, DEN-2, DEN-3 and DEN-4. In Malaysia, dengue fever cases are on the rise from 6,000 cases in 1995 to over 40,000 in 2010, and this number is still rising. In 2014, the increase of dengue fever cases was alarming. It was reported that up to the end of the year 2014, there were 108,698 notified cases, indicating an increment of 151% compared to the same period of time in 2013 with only 43,346 reported cases. Selangor was the highest contributor of dengue fever cases in 2014. The objective of this paper is to study the relationship between climatic factors namely temperature, rainfall and humidity to the prevalence of dengue fever in Subang Jaya and Sepang district, Selangor. Data on monthly average temperature, precipitation, relative humidity and dengue fever cases for each month in 2014 and 2013 were collected. Data collection was dealt with a few institutions such as Malaysian Meteorological Department, Subang Jaya and Sepang Municipal Council and health district offices. Data were analysed using SPSS (Statistical Package for the Social Sciences) Version 20. General linear model analysis was used to investigate the relationship between the climatic variables and dengue prevalence. Results and Discussion: Based on the general linear model, rainfall and humidity were found to have significant relationships to monthly dengue fever cases (p=
    Matched MeSH terms: Linear Models
  13. Nik Syaza Lina Nik Ruzman, Haliza Abdul Rahman
    Malaysian Journal of Public Health Medicine, 2017;17 Special(1):140-150.
    Dengue fever is one of the most dangerous vector-borne diseases. According to the World Health Organization (WHO), dengue fever is a mosquito-borne infection caused by virus serotype DEN-1, DEN-2, DEN-3 and DEN-4. In Malaysia, dengue fever cases are on the rise from 6,000 cases in 1995 to over 40,000 in 2010, and this number is still rising. In 2014, the increase of dengue fever cases was alarming. It was reported that up to the end of the year 2014, there were 108,698 notified cases, indicating an increment of 151% compared to the same period of time in 2013 with only 43,346 reported cases. Selangor was the highest contributor of dengue fever cases in 2014. The objective of this paper is to study the relationship between climatic factors namely temperature, rainfall and humidity to the prevalence of dengue fever in Subang Jaya and Sepang district, Selangor. Data on monthly average temperature, precipitation, relative humidity and dengue fever cases for each month in 2014 and 2013 were collected. Data collection was dealt with a few institutions such as Malaysian Meteorological Department, Subang Jaya and Sepang Municipal Council and health district offices. Data were analysed using SPSS (Statistical Package for the Social Sciences) Version 20. General linear model analysis was used to investigate the relationship between the climatic variables and dengue prevalence. Results and Discussion: Based on the general linear model, rainfall and humidity were found to have significant relationships to monthly dengue fever cases (p= <0.001, p= 0.002). Rainfall was identified as the most significant predictor because rainfall can provide more breeding places for Aedes mosquitoes. As for humidity, higher relative humidity had been associated with increased Aedes aegypti feeding activity, survival and egg development. Temperature was not significantly related to monthly dengue fever cases (p= 0.561) in this study. However, this could be due to the short period of study. Conclusion: Climatic factors play an important role in the prevalence of dengue fever. However, there are many other factors of dengue fever that should be considered such as urbanisation as well as community knowledge, attitude and practice.
    Matched MeSH terms: Linear Models
  14. Niamul Islam N, Hannan MA, Mohamed A, Shareef H
    PLoS One, 2016;11(1):e0146277.
    PMID: 26745265 DOI: 10.1371/journal.pone.0146277
    Power system oscillation is a serious threat to the stability of multimachine power systems. The coordinated control of power system stabilizers (PSS) and thyristor-controlled series compensation (TCSC) damping controllers is a commonly used technique to provide the required damping over different modes of growing oscillations. However, their coordinated design is a complex multimodal optimization problem that is very hard to solve using traditional tuning techniques. In addition, several limitations of traditionally used techniques prevent the optimum design of coordinated controllers. In this paper, an alternate technique for robust damping over oscillation is presented using backtracking search algorithm (BSA). A 5-area 16-machine benchmark power system is considered to evaluate the design efficiency. The complete design process is conducted in a linear time-invariant (LTI) model of a power system. It includes the design formulation into a multi-objective function from the system eigenvalues. Later on, nonlinear time-domain simulations are used to compare the damping performances for different local and inter-area modes of power system oscillations. The performance of the BSA technique is compared against that of the popular particle swarm optimization (PSO) for coordinated design efficiency. Damping performances using different design techniques are compared in term of settling time and overshoot of oscillations. The results obtained verify that the BSA-based design improves the system stability significantly. The stability of the multimachine power system is improved by up to 74.47% and 79.93% for an inter-area mode and a local mode of oscillation, respectively. Thus, the proposed technique for coordinated design has great potential to improve power system stability and to maintain its secure operation.
    Matched MeSH terms: Linear Models
  15. Ngoh HJ, Sakinah H, Harsa Amylia MS
    Malays J Nutr, 2012 Aug;18(2):149-59.
    PMID: 24575663 MyJurnal
    This study aimed to develop demi-span equations for predicting height in the Malaysian elderly and to explore the applicability of previous published demi-span equations derived from adult populations to the elderly.
    Matched MeSH terms: Linear Models
  16. Ng YK, Shah NM, Loong LS, Pee LT, Hidzir SAM, Chong WW
    Patient Prefer Adherence, 2018;12:615-624.
    PMID: 29731609 DOI: 10.2147/PPA.S159113
    Purpose: This study investigated patients' and pharmacists' attitudes toward concordance in a pharmacist-patient consultation and how patients' attitudes toward concordance relate to their involvement and self-efficacy in decision making associated with medication use.

    Subjects and methods: A cross-sectional study was conducted among patients with chronic diseases and pharmacists from three public hospitals in Malaysia. The Revised United States Leeds Attitudes toward Concordance (RUS-LATCon) was used to measure attitudes toward concordance in both patients and pharmacists. Patients also rated their perceived level of involvement in decision making and completed the Decision Self-Efficacy scale. One-way analysis of variance (ANOVA) and independent t-test were used to determine significant differences between different subgroups on attitudes toward concordance, and multiple linear regression was performed to find the predictors of patients' self-efficacy in decision making.

    Results: A total of 389 patients and 93 pharmacists participated in the study. Pharmacists and patients scored M=3.92 (SD=0.37) and M=3.84 (SD=0.46) on the RUS-LATCon scale, respectively. Seven items were found to be significantly different between pharmacists and patients on the subscale level. Patients who felt fully involved in decision making (M=3.94, SD=0.462) scored significantly higher on attitudes toward concordance than those who felt partially involved (M=3.82, SD=0.478) and not involved at all (M=3.68, SD=0.471; p<0.001). Patients had an average score of 76.7% (SD=14.73%) on the Decision Self-Efficacy scale. In multiple linear regression analysis, ethnicity, number of medications taken by patients, patients' perceived level of involvement, and attitudes toward concordance are significant predictors of patients' self-efficacy in decision making (p<0.05).

    Conclusion: Patients who felt involved in their consultations had more positive attitudes toward concordance and higher confidence in making an informed decision. Further study is recommended on interventions involving pharmacists in supporting patients' involvement in medication-related decision making.

    Matched MeSH terms: Linear Models
  17. Ng KY, Awang N
    Environ Monit Assess, 2018 Jan 06;190(2):63.
    PMID: 29306973 DOI: 10.1007/s10661-017-6419-z
    Frequent haze occurrences in Malaysia have made the management of PM10 (particulate matter with aerodynamic less than 10 μm) pollution a critical task. This requires knowledge on factors associating with PM10 variation and good forecast of PM10 concentrations. Hence, this paper demonstrates the prediction of 1-day-ahead daily average PM10 concentrations based on predictor variables including meteorological parameters and gaseous pollutants. Three different models were built. They were multiple linear regression (MLR) model with lagged predictor variables (MLR1), MLR model with lagged predictor variables and PM10 concentrations (MLR2) and regression with time series error (RTSE) model. The findings revealed that humidity, temperature, wind speed, wind direction, carbon monoxide and ozone were the main factors explaining the PM10 variation in Peninsular Malaysia. Comparison among the three models showed that MLR2 model was on a same level with RTSE model in terms of forecasting accuracy, while MLR1 model was the worst.
    Matched MeSH terms: Linear Models*
  18. Neo KS, Goh KT, Sam CT
    PMID: 11127329
    A survey was conducted between 1995 and 1997 to assess the impact of introduction of unleaded petrol and other public health measures on the blood lead level of the population. The geometric mean blood lead level of 269 government employees as determined by graphite furnace atomic absorption spectroscopy, was 66.0 microg/l, much lower than that recorded before introduction of lead-free petrol. Using multiple regression analysis, factors significantly associated with blood lead levels were: exposure to traffic, age (>50 years) and active smoking. Passive smoking, exposure to recent paint work, consumption of alcohol and traditional medicine were found not to be significantly associated with the blood lead level.
    Matched MeSH terms: Linear Models
  19. Neni Widiasmoro Selamat, Kenneth Paul Martinez, Mohammad Sarimie Nurul Nizam, Gaiyathre Subrain, Eva Tan Lee Yin, Titinun Auamnoy
    MyJurnal
    Introduction: A cross-sectional study was conducted to provide preliminary insight of Awareness, Knowledge and Attitude (AKA) assessment on urinary tract infection (UTI) among adolescents which includes the general level of AKA and correlation between the domains as well as the relationship between Total AKA and the sociodemographic factors. Methods: A modified and adapted questionnaire was developed, consisting of socio-demographic questions and AKA domains employing descriptive statistics, linear regression and multiple regression analysis via SPSS Ver- sion 23.0. Results: In general, AKA level was reported as moderate (0.5 ± 0.11). Among the three domains, Knowl- edge (0.70 ± 0.12) risen with the most astounding mean, took after Awareness (0.36 ± 0.22) and Attitude (0.65 ± 0.11). A positive but weak correlation was found between the domains; Awareness and Knowledge is significant at p = 0.034, r = 0.157; R2 = 0.02 and similarly, a weak correlation was also found between Knowledge and Attitude which is significant at p = 0.000, r = 0.411; R2 = 0.17. After covariates adjustment, female gender was found to have the strongest relationship with Total AKA. Conclusion: The general level of Total AKA on UTI is moderate. The AKA domains in this study was found to be positively correlated and female was found to be the best predictor for a better Total AKA on UTI. Thus, these findings provide important information to formulate an effective education interven- tion to improve the AKA on UTI among adolescents.
    Matched MeSH terms: Linear Models
  20. Nazif A, Mohammed NI, Malakahmad A, Abualqumboz MS
    Environ Sci Pollut Res Int, 2018 Jan;25(1):283-289.
    PMID: 29032528 DOI: 10.1007/s11356-017-0407-2
    The devastating health effects of particulate matter (PM10) exposure by susceptible populace has made it necessary to evaluate PM10 pollution. Meteorological parameters and seasonal variation increases PM10 concentration levels, especially in areas that have multiple anthropogenic activities. Hence, stepwise regression (SR), multiple linear regression (MLR) and principal component regression (PCR) analyses were used to analyse daily average PM10 concentration levels. The analyses were carried out using daily average PM10 concentration, temperature, humidity, wind speed and wind direction data from 2006 to 2010. The data was from an industrial air quality monitoring station in Malaysia. The SR analysis established that meteorological parameters had less influence on PM10 concentration levels having coefficient of determination (R 2) result from 23 to 29% based on seasoned and unseasoned analysis. While, the result of the prediction analysis showed that PCR models had a better R 2 result than MLR methods. The results for the analyses based on both seasoned and unseasoned data established that MLR models had R 2 result from 0.50 to 0.60. While, PCR models had R 2 result from 0.66 to 0.89. In addition, the validation analysis using 2016 data also recognised that the PCR model outperformed the MLR model, with the PCR model for the seasoned analysis having the best result. These analyses will aid in achieving sustainable air quality management strategies.
    Matched MeSH terms: Linear Models
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