Displaying publications 121 - 140 of 389 in total

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  1. Nurrulhidayah, A.F., Arieff, S.R., Rohman, A., Amin, I., Shuhaimi, M., Khatib, A.
    MyJurnal
    Differential scanning calorimetry (DSC) is developed and used for detection of butter adulteration with lard. Butter has the similar characteristics to lard makes lard a desirable adulterant in butter. DSC provides unique thermal profiling for lard and butter. In the heating thermogram of the mixture, there was one major endothermic peak (peak A) with a smaller shoulder peak embedded in the major peak that gradually smoothed out to the major peak as the lard percent increased. In the cooling thermogram, there were one minor peak (peak B) and two major exothermic peaks, peak C which increased as lard percent increased and peak D which decreased in size as the lard percent increased. From Stepwise Multiple Linear Regression (SMLR) analysis, two independent variables were found to be able to predict lard percent adulteration in butter with R2 (adjusted) of 95.82. The SMLR equation of lard percent adulteration in butter is 293.1 - 11.36 (Te A) - 2.17 (Tr D); where Te A is the endset of peak A and Tr D is the range of thermal transition for peak D. These parameters can serve as a good measurement parameter in detecting lard adulteration in butter. DSC is a very useful means for halal screening technique to enhance the authenticity of Halal process.
    Matched MeSH terms: Linear Models
  2. Abu Bakar SN, Aspalilah A, AbdelNasser I, Nurliza A, Hairuliza MJ, Swarhib M, et al.
    Clin Ter, 2017 Mar-Apr;168(2):e84-e87.
    PMID: 28383619 DOI: 10.7417/CT.2017.1988
    INTRODUCTION: Stature is one of the characteristics that could be used to identify human, besides age, sex and racial affiliation. This is useful when the body found is either dismembered, mutilated or even decomposed, and helps in narrowing down the missing person's identity.

    AIM: The main aim of the present study was to construct regression functions for stature estimation by using lower limb bones in the Malaysian population.

    MATERIALS AND METHODS: The sample comprised 87 adult individuals (81 males, 6 females) aged between 20 to 79 years. The parameters such as thigh length, lower leg length, leg length, foot length, foot height and foot breadth were measured. They were measured by a ruler and measuring tape. Statistical analysis involved independent t-test to analyse the difference between lower limbs in male and female. The Pearson's correlation test was used to analyse correlations between lower limb parameters and stature, and the linear regressions were used to form equations. The paired t-test was used to compare between actual stature and estimated stature by using the equations formed.

    RESULTS: Using independent t-test, there was a significant difference (p< 0.05) in the measurement between males and females with regard to leg length, thigh length, lower leg length, foot length and foot breadth. The thigh length, leg length and foot length were observed to have strong correlations with stature with p= 0.75, p= 0.81 and p= 0.69, respectively. Linear regressions were formulated for stature estimation. Paired t-test showed no significant difference between actual stature and estimated stature.

    CONCLUSIONS: It is concluded that regression functions can be used to estimate stature to identify skeletal remains in the Malaysia population.
    Matched MeSH terms: Linear Models
  3. Jong WL, Ung NM, Vannyat A, Jamalludin Z, Rosenfeld A, Wong JH
    Phys Med, 2017 Jan;33:127-135.
    PMID: 28089106 DOI: 10.1016/j.ejmp.2016.12.020
    Dosimetry in small radiation field is challenging and complicated because of dose volume averaging and beam perturbations in a detector. We evaluated the suitability of the "Edge-on" MOSkin (MOSFET) detector in small radiation field measurement. We also tested the feasibility for dosimetric verification in stereotactic radiosurgery (SRS) and stereotactic radiotherapy (SRT). "Edge-on" MOSkin detector was calibrated and the reproducibility and linearity were determined. Lateral dose profiles and output factors were measured using the "Edge-on" MOSkin detector, ionization chamber, SRS diode and EBT2 film. Dosimetric verification was carried out on two SRS and five SRT plans. In dose profile measurements, the "Edge-on" MOSkin measurements concurred with EBT2 film measurements. It showed full width at half maximum of the dose profile with average difference of 0.11mm and penumbral width with difference of ±0.2mm for all SRS cones as compared to EBT2 film measurement. For output factor measurements, a 1.1% difference was observed between the "Edge-on" MOSkin detector and EBT2 film for 4mm SRS cone. The "Edge-on" MOSkin detector provided reproducible measurements for dose verification in real-time. The measured doses concurred with the calculated dose for SRS (within 1%) and SRT (within 3%). A set of output correction factors for the "Edge-on" MOSkin detector for small radiation fields were derived from EBT2 film measurement and presented. This study showed that the "Edge-on" MOSkin detector is a suitable tool for dose verification in small radiation field.
    Matched MeSH terms: Linear Models
  4. Al-Naggar RA, Anil Sh
    Asian Pac J Cancer Prev, 2016 10 01;17(10):4661-4664.
    PMID: 27892680
    Background: Artificial light at night (ALAN) has been linked to increased risk of cancers in body sites like the breast
    and colorectum. However exposure of ALAN as an environmental risk factor and its relation to cancers in humans has
    never been studied in detail. Objective: To explore the association of ALAN with all forms of cancers in 158 countries.
    Materials and Methods: An ecological study encompassing global data was conducted from January to June 2015,
    with age-standardized rates (ASR) of cancers as the outcome measure. ALAN, in the protected areas, as the exposure
    variable, was measured with reference to the Protected Area Light Pollution Indicator (PALI) and the Protected Area
    Human Influence Indicator (PAHI). Pearson’s correlations were calculated for PALI and PAHI with ASR of cancers for
    158 countries, adjusted for country populations, electricity consumption, air pollution, and total area covered by forest.
    Stratified analysis was conducted according to the country income levels. Linear regression was applied to measure the
    variation in cancers explained by PALI and PAHI. Results: PALI and PAHI were positively associated with ASR of all
    forms of cancer, and also the four most common cancers (p < 0.05). These positive correlations remained statistically
    significant for PAHI with all forms of cancer, lung, breast, and colorectal cancer after adjusting for confounders. Positive
    associations of PALI and PAHI with cancers varied with income level of the individual countries. Variation in all forms
    of cancers, and the four most common cancers explained by PALI and PAHI, ranged from 3.3 – 35.5%. Conclusion:
    Artificial light at night is significantly correlated for all forms of cancer as well as lung, breast, colorectal, and prostate
    cancers individually. Immediate measures should be taken to limit artificial light at night in the main cities around the
    world and also inside houses.
    Matched MeSH terms: Linear Models
  5. Siong, Wee Boon, Ebihara, Mitsuru
    MyJurnal
    Prompt gamma-ray analysis (PGA) and instrumental neutron activation analysis (INAA) are essential for the study of rare samples such as meteorites because of non-destructivity and relatively being free from contaminations. The objective of this research is to utilize PGA and INAA techniques for comparative study and apply them to meteorite analyses. In this study, 11 meteorite samples received from the Meteorite Working Group of NASA were analyzed. The Allende meteorite powder was included as quality control material. Results from PGA and INAA for Allende showed in good agreement with literature values, signifying the reliabilities of these two methods. Elements Al, Ca, Mg, Mn, Na and Ti were determined by both methods and their results are compared. Comparison of PGA and INAA data using linear regression analysis showed correlations coefficients r2 > 0.90 for Al, Ca, Mn and Ti, 0.85 for Mg, and 0.38 for Na. The PGA results for Na using 472 keV were less accurate due to the interference from the broad B peak. Therefore, Na results from INAA method are preferred. For other elements (Al, Ca, Mg, Mn and Ti), PGA and INAA results can be used as cross-reference for consistency. The PGA and INAA techniques have been applied to meteorite samples and results are comparable to literature values compiled from previously analyzed meteorites. In summary, both PGA and INAA methods give reasonably good agreement and are indispensable in the study of meteorites.
    Matched MeSH terms: Linear Models
  6. Redhwan Ahmed, Al-Naggar
    MyJurnal
    Objective: Globally, there is growing evidence of stigmatization of people with mental illnesses and mental illness is more stigmatizing than physical illnesses. Therefore, this study aimed to determine the attitudes of university students towards persons with mental illness. Methods: A cross-sectional study was conducted among Management and Science University students during the academic year 2012. Prior ethical approval was taken for conducting the study. A total of 300 medical and health science students was recruited in this study and the response rate was 93%. The survey questionnaire was adopted from a previous study with 15 statements about attitude towards mental health illness and sociodemographic characteristics. Classes were chosen randomly and students also randomly selected. The inclusion criterion for this research was medical and health science students while the exclusion criterion was students from other faculties, staff and lecturers. Data was analyzed with the Statistical Package for the Social Sciences version 13.0. Descriptive statistics were used for the analysis of the basic demographics and survey items of the questionnaire. T-test and multiple linear regression were used to explore the relationship between the socio-demographic and the attitude. Results: A total number of 279 students participated in this study. The majority of them were female, age 20 years and above, single, Malay, from International Medical School (IMS) and from urban areas (68.5%, 88.2%, 96.4%, 58.1%, 60.2%, 77.8% respectively). In this study, the majority of the participants showed a moderate to good attitude towards people with mental illness. Univariate analysis showed that marital status influenced the attitudes of university students towards people with mental illness (p=0.015). In multivariate analysis, multiple linear regression showed that gender, marital status, smoking and drinking alcohol significantly influenced the attitude of university students towards people with mental illness (p=0.014, p=0.012; p=0.009, p=0.013; respectively). Conclusion: This study showed that the undergraduate university students had a moderate to good attitude towards people with mental illness. Gender, marital status, smoking and drinking alcohol significantly influenced the attitude of undergraduate university students towards people with mental illness. ASEAN Journal of Psychiatry, Vol. 14 (1): January - June 2013: XX XX.
    Matched MeSH terms: Linear Models
  7. Chew, B.H., Cheong, A.T.
    MyJurnal
    Medical students are future doctors who are trained to treat all kinds of diseases including people living with HIV/AIDS (PLWHA) without prejudice. Teaching basic scientific knowledge and technical skills is no longer adequate for today’s medical students. There is also a need for them to be provided with high personal and professional values. This study examined stigmatizing attitude towards people living with HIV/AIDS (PLWHA) among the medical students in a public medical school. The participants were stratified to preclinical-year (year 1 and year 2) and clinical-year (year 3 and year 4) medical students. Simple random sampling was carried out to select 170 participants from each category of students. Self-administered questionnaires captured socio-demographic data, HIV/AIDS knowledge and stigmatisation attitudes towards PLWHA. Multiple linear regression was used to assess the relationship between ethnic groups and stigmatization attitude. Three hundred and forty participants were recruited. Malay medical students who did not have previous encounter with PLWHA were associated with stigmatizing attitude towards HIV/AIDS patients, whereas clinical-year medical students who had no clinical encounter with PLWHA were more likely to feel uncomfortable with PLWHA. Malay ethnicity and medical students in clinical years who had not encounter a PLWHA were more likely to have stigmatizing attitude towards PLWHA.
    Matched MeSH terms: Linear Models
  8. 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
  9. 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
  10. Hamasha, Abed Al-Hadi, Almogbel, Lolowh, Alshehri, Abeer, Alssafia, Fatimah, Alghamdi, Hanan, Alajmia, Alanoud, et al.
    MyJurnal
    Upon reviewing the literature, the prevalence of many systemic conditions such as diabetes,
    hypertension, asthma and rheumatoid arthritis were reported to be high in Saudi Arabia. The relationship of these
    conditions with tooth loss among Saudi population was not investigated. Therefore, the aim of the present study
    is to explore the relationship between tooth loss and most common medical conditions among Saudi dental
    patient. The study participants were 250 patients who were randomly selected from the College of Dentistry
    database of King Saud bin Abdulaziz University for Health Sciences (KSAU-HS) in Riyadh, Saudi Arabia.
    Participants were requested to answer self-administered questionnaires related to their demographic as well as
    general health questions concerned to the presence of systemic medical conditions. Missing teeth were
    determined after examining the orthopantogram radiographs and reviewing the Romexis and SALUD databases.
    Descriptive statistics, independent t-test and linear multiple regression model were performed using SPSS
    software. The mean number of missing teeth among the study population was 5.8 teeth per person. The mean
    number of missing teeth was higher among subjects with diabetes, hypertension, rheumatoid arthritis,
    cardiovascular diseases, or osteoporosis compared to healthy individuals. A multiple linear regression analysis
    model revealed that diabetes, hypertension and rheumatoid were significant predictors of missing teeth among
    Saudi population. These results highlight the importance of the effect of medical conditions on oral health.
    Matched MeSH terms: Linear Models
  11. Zin CS, Taufek NH, Ahmad MM
    Front Pharmacol, 2019;10:1286.
    PMID: 31736760 DOI: 10.3389/fphar.2019.01286
    Limited data are available on the adherence to opioid therapy and the influence of different patient groups on adherence. This study examined the patterns of adherence in opioid naïve and opioid existing patients with varying age and gender. This retrospective cohort study was conducted using the prescription databases in tertiary hospital settings in Malaysia from 2010 to 2016. Adult patients aged ≥18 years, receiving at least two opioid prescriptions, were included and stratified into the opioid naïve and existing patient groups. Adherence to opioid therapy was measured using the proportion of days covered (PDC), which was derived by dividing the total number of days covered with any opioids by the number of days in the follow-up period. Generalized linear modeling was used to assess factors associated with PDC. A total of 10,569 patients with 36,650 prescription episodes were included in the study. Of these, 91.7% (n = 9,696) were opioid naïve patients and 8.3% (n = 873) were opioid existing patients. The median PDC was 35.5% (interquartile range (IQR) 10.3-78.7%) and 26.8% (IQR 8.8-69.5%) for opioid naïve and opioid existing patients, respectively. A higher opioid daily dose (coefficient 0.010, confidence interval (CI) 0.009, 0.012 p < 0.0001) and increasing age (coefficient 0.002, CI 0.001, 0.003 p < 0.0001) were associated with higher levels of PDC, while lower PDC values were associated with male subjects (coefficient -0.0041, CI -0.072, -0.010 p = 0.009) and existing opioid patients (coefficient -0.134, CI -0.191, -0.077 p < 0.0001). The suboptimal adherence to opioid medications was commonly observed among patients with non-cancer pain, and the opioid existing patients were less adherent compared to opioid naïve patients. Increasing age and a higher daily opioid dose were factors associated with higher levels of adherence, while male and opioid existing patients were potential determinants for lower levels of adherence to opioid medications.
    Matched MeSH terms: Linear Models
  12. Souad Neffar, Haroun Chenchouni, Arifa Beddiar
    Sains Malaysiana, 2015;44:671-680.
    Mycorrhizal fungi are an essential component to consider for better management of soil fertility, particularly in
    degraded rangelands of drylands. The present article presents a field survey of colonization and intensity of arbuscular
    mycorrhizal fungi (AMF) on prickly pear (Opuntia ficus-indica) roots from young (5 years old) and old (more than 20
    years) plantations. The results observed were explained by seasonality and edaphic factors. Prickly pear roots showed
    a mycorrhizal frequency (F%) up to 100% of colonization and a mycorrhizal intensity (M%) that may exceed 70%.
    According to ANOVAs, both F% and M% varied significantly between Prickly pear plantation ages, but only M% between
    seasons. The Generalized linear model showed that edaphic factors have no effect on the variation of F%. However
    the statistical model showed that M% were significantly influenced by active CaCO3
    , organic matter, carbon, nitrogen,
    phosphorus contents and C/N. Our findings highlight the importance of mycorrhization in rehabilitation programs of
    degraded rangelands by prickly pear plantations in semiarid and arid lands, particularly during early plant ages and
    under environmental abiotic stresses such as climate and soil type.
    Matched MeSH terms: Linear Models
  13. Wong SF, Yap PS, Mak JW, Chan WLE, Khor GL, Ambu S, et al.
    Environ Health, 2020 04 03;19(1):37.
    PMID: 32245482 DOI: 10.1186/s12940-020-00579-w
    BACKGROUND: Malaysia has the highest rate of diabetes mellitus (DM) in the Southeast Asian region, and has ongoing air pollution and periodic haze exposure.

    METHODS: Diabetes data were derived from the Malaysian National Health and Morbidity Surveys conducted in 2006, 2011 and 2015. The air pollution data (NOx, NO2, SO2, O3 and PM10) were obtained from the Department of Environment Malaysia. Using multiple logistic and linear regression models, the association between long-term exposure to these pollutants and prevalence of diabetes among Malaysian adults was evaluated.

    RESULTS: The PM10 concentration decreased from 2006 to 2014, followed by an increase in 2015. Levels of NOx decreased while O3 increased annually. The air pollutant levels based on individual modelled air pollution exposure as measured by the nearest monitoring station were higher than the annual averages of the five pollutants present in the ambient air. The prevalence of overall diabetes increased from 11.4% in 2006 to 21.2% in 2015. The prevalence of known diabetes, underdiagnosed diabetes, overweight and obesity also increased over these years. There were significant positive effect estimates of known diabetes at 1.125 (95% CI, 1.042, 1.213) for PM10, 1.553 (95% CI, 1.328, 1.816) for O3, 1.271 (95% CI, 1.088, 1.486) for SO2, 1.124 (95% CI, 1.048, 1.207) for NO2, and 1.087 (95% CI, 1.024, 1.153) for NOx for NHMS 2006. The adjusted annual average levels of PM10 [1.187 (95% CI, 1.088, 1.294)], O3 [1.701 (95% CI, 1.387, 2.086)], NO2 [1.120 (95% CI, 1.026, 1.222)] and NOx [1.110 (95% CI, 1.028, 1.199)] increased significantly from NHMS 2006 to NHMS 2011 for overall diabetes. This was followed by a significant decreasing trend from NHMS 2011 to 2015 [0.911 for NO2, and 0.910 for NOx].

    CONCLUSION: The findings of this study suggest that long-term exposure to O3 is an important associated factor of underdiagnosed DM risk in Malaysia. PM10, NO2 and NOx may have mixed effect estimates towards the risk of DM, and their roles should be further investigated with other interaction models. Policy and intervention measures should be taken to reduce air pollution in Malaysia.

    Matched MeSH terms: Linear Models
  14. Alizamir M, Kisi O, Ahmed AN, Mert C, Fai CM, Kim S, et al.
    PLoS One, 2020;15(4):e0231055.
    PMID: 32287272 DOI: 10.1371/journal.pone.0231055
    Soil temperature has a vital importance in biological, physical and chemical processes of terrestrial ecosystem and its modeling at different depths is very important for land-atmosphere interactions. The study compares four machine learning techniques, extreme learning machine (ELM), artificial neural networks (ANN), classification and regression trees (CART) and group method of data handling (GMDH) in estimating monthly soil temperatures at four different depths. Various combinations of climatic variables are utilized as input to the developed models. The models' outcomes are also compared with multi-linear regression based on Nash-Sutcliffe efficiency, root mean square error, and coefficient of determination statistics. ELM is found to be generally performs better than the other four alternatives in estimating soil temperatures. A decrease in performance of the models is observed by an increase in soil depth. It is found that soil temperatures at three depths (5, 10 and 50 cm) could be mapped utilizing only air temperature data as input while solar radiation and wind speed information are also required for estimating soil temperature at the depth of 100 cm.
    Matched MeSH terms: Linear Models
  15. 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
  16. Tan CE, Hi MY, Azmi NS, Ishak NK, Mohd Farid FA, Abdul Aziz AF
    Cureus, 2020 Mar 24;12(3):e7390.
    PMID: 32337117 DOI: 10.7759/cureus.7390
    Background Most family caregivers of stroke patients in Malaysia do not receive adequate prior preparation or training. This study aimed to determine levels of patient positioning knowledge and caregiving self-efficacy among caregivers of stroke patients. Methods This cross-sectional study was conducted at an urban teaching hospital involving 128 caregivers of stroke patients. The caregivers were conveniently sampled and completed the data collection forms, which comprised their socio-demographic data, patients' functional status, the Caregiving Knowledge For Stroke Questionnaire: Patient Positioning (CKQ-My© Patient Positioning) to measure caregiver's knowledge on patient positioning, and the Family Caregiver Activation Tool (FCAT©) to measure caregivers' self-efficacy in managing the patient. Descriptive and multivariate inferential statistics were used for data analysis. Results Among the caregivers sampled, 87.3% had poor knowledge of positioning (mean score 14.9 ± 4.32). The mean score for FCAT was 49.7 ± 6.0 from a scale of 10 to 60. There was no significant association between knowledge on positioning and self-efficacy. Multiple linear regression showed that caregivers' age (B = 0.146, p = 0.003) and caregiver training (B = 3.302, p = 0.007) were independently associated with caregivers' self-efficacy. Conclusion Caregivers' knowledge on the positioning of stroke patients was poor, despite a fairly good level of self-efficacy. Older caregivers and receiving caregiver training were independently associated with better caregiver self-efficacy. This supports the provision of caregiver training to improve caregiver self-efficacy.
    Matched MeSH terms: Linear Models
  17. Mohamad Hanapi NS, Sanagi MM, Ismail AK, Saim N, Wan Ibrahim WN, Wan Ibrahim WA, et al.
    J Chromatogr Sci, 2018 Feb 01;56(2):166-176.
    PMID: 29069322 DOI: 10.1093/chromsci/bmx092
    Two-phase micro-electrodriven membrane extraction (EME) procedure for the pre-concentration of selected non-steroidal anti-inflammatory drugs (NSAIDs) in aquatic matrices was investigated. Agarose film was used as interface between donor and acceptor phase in EME which allowed for selective extraction of the analytes prior to high performance liquid chromatography-ultraviolet detection. Charged analytes were transported from basic aqueous sample solution through agarose film into 1-octanol as an acceptor phase at 9 V potential. Response surface methodology in conjunction with the central composite design showed good correlations between extraction time and applied voltage (R2 > 0.9358). Under optimized extraction conditions, the method showed good linearity in the concentration range of 0.5-500 μg L-1 with coefficients of determination, r2≥ 0.9942 and good limits of detection (0.14-0.42 μg L-1) and limits of quantification (0.52-1.21 μg L-1). The results also showed high enrichment factors (62-86) and good relative recoveries (72-114%) with acceptable reproducibilities (RSDs ≤ 7.5% n = 3). The method was successfully applied to the determination of NSAIDs from tap water and river water samples. The proposed method proved to be rapid, simple and requires low voltage and minute amounts of organic solvent, thus environmentally friendly.
    Matched MeSH terms: Linear Models
  18. Syahrom A, Abdul Kadir MR, Harun MN, Öchsner A
    Med Eng Phys, 2015 Jan;37(1):77-86.
    PMID: 25523865 DOI: 10.1016/j.medengphy.2014.11.001
    Artificial bone is a suitable alternative to autografts and allografts, however their use is still limited. Though there were numerous reports on their structural properties, permeability studies of artificial bones were comparably scarce. This study focused on the development of idealised, structured models of artificial cancellous bone and compared their permeability values with bone surface area and porosity. Cancellous bones from fresh bovine femur were extracted and cleaned following an established protocol. The samples were scanned using micro-computed tomography (μCT) and three-dimensional models of the cancellous bones were reconstructed for morphology study. Seven idealised and structured cancellous bone models were then developed and fabricated via rapid prototyping technique. A test-rig was developed and permeability tests were performed on the artificial and real cancellous bones. The results showed a linear correlation between the permeability and the porosity as well as the bone surface area. The plate-like idealised structure showed a similar value of permeability to the real cancellous bones.
    Matched MeSH terms: Linear Models
  19. Hasyima Ismail N, Amin Safwan A, Fairuz Fozi N, Megat FH, Muhd Farouk H, Kamaruddin SA, et al.
    Pak J Biol Sci, 2017;20(3):140-146.
    PMID: 29023005 DOI: 10.3923/pjbs.2017.140.146
    BACKGROUND: Orange mud crab Scylla olivacea is one of the most important fisheries resources. A new development in ageing technique of crustaceans has been introduced. The detection of growth band deposited in hard structure of gastric mill in the cardiac stomach are found retained after moulting process can be used as age indicator and growth estimation.

    OBJECTIVE: This study was carried out to determine the comparison between carapace width and growth band count of S. olivacea in Malaysia.

    MATERIALS AND METHODS: Samples were collected from Setiu Wetlands, Terengganu, Malaysia from February until August, 2016. Samples were categorized based on their morphological measurements. The mesocardiac and zygocardiac ossicles in the gastric mill of S. olivacea was dissected out and preserved in solutions and underwent a cross sectioning process. A total of 76 of wild S. olivacea ranging from 6.56 to 12.84 cm in carapace width were analysed. The growth band counts were examined for each individual and ranging from 1 to 3 band counts.

    RESULTS: A positive linear relation was observed between CW and GBC with r2 = 0.5178, p<0.01. Overall, there was a strong, positive correlation between CW and GBC. Increase in CW were correlated with increases in GBC respectively for this species.

    CONCLUSION: Therefore, the carapace width, growth band counts and body weight can be used to improve data on growth, recruitment, maturation and mortality. Thus, this study would able to improve new ageing technique and contribute greatly to improve the conservation and management of S. olivacea in Setiu Wetlands, Terengganu, Malaysia.

    Matched MeSH terms: Linear Models
  20. Tay CW, Chin YS, Lee ST, Khouw I, Poh BK, SEANUTS Malaysia Study Group
    Asia Pac J Public Health, 2016 07;28(5 Suppl):47S-58S.
    PMID: 27252248 DOI: 10.1177/1010539516651475
    Problematic eating behaviors during childhood may lead to positive energy balance and obesity. Therefore, this study aims to investigate the association of eating behaviors with nutritional status and body composition in Malaysian children aged 7 to 12 years. A total of 1782 primary schoolchildren were randomly recruited from 6 regions in Malaysia. The multidimensional Children's Eating Behaviour Questionnaire (CEBQ) was reported by parents to determine the 8 different dimensions of eating styles among children. Body mass index (BMI), BMI-for-age Z-score, waist circumference, and body fat percentage were assessed. Linear regression analyses revealed that both food responsiveness and desire to drink subscales were positively associated with a child's body adiposity, whereas satiety responsiveness, slowness in eating, and emotional undereating subscales were negatively associated with adiposity (all P < .05). A multidimensional eating style approach based on the CEBQ is needed to promote healthy eating behaviors in order to prevent excessive weight gain and obesity problems among Malaysian children.
    Matched MeSH terms: Linear Models
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