Displaying publications 1 - 20 of 851 in total

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  1. Ab Majid NL, Rodzlan Hasani WS, Mat Rifin H, Robert Lourdes TG, Jane Ling MY, Saminanthan TA, et al.
    Geriatr Gerontol Int, 2020 Dec;20 Suppl 2:79-84.
    PMID: 33370854 DOI: 10.1111/ggi.13968
    AIM: The objective of this study is to determine the prevalence of self-reported diabetes, hypertension and hypercholesterolemia among older persons in Malaysia and their associated factors.

    METHODS: The study used data from the National Health and Morbidity Survey in 2018. It was a cross-sectional study with two-staged stratified cluster sampling design. In total, 3977 adults aged ≥60 years were selected for this study. Respondents were interviewed face to face using a structured questionnaire. Self-reported diabetes, hypertension or hypercholesterolemia was defined as having ever been told they have these diseases by a medical doctor or paramedic. Data were analyzed using SPSS version 25. The multiple logistic regression model was used to examine the factors associated with the prevalence of self-reporting.

    RESULTS: The prevalence of self-reported diabetes, hypertension and hypercholesterolemia among older persons in Malaysia were 27.7%, 51.1% and 41.8% respectively. Presence of other comorbidities and being obese showed higher odds for all three diseases. Indians, unemployed, inactive had higher odds for diabetes. Other Bumiputras, unemployed, non-smoker, obese and inactive had higher odds for hypertension. Non-smoker had higher odds for hypercholesterolemia.

    CONCLUSIONS: Health promotion, vigilance, attention and services targeting on the associated factors should be strengthened for older persons in Malaysia to ensure healthy aging. Geriatr Gerontol Int 2020; 20: 79-84.

    Matched MeSH terms: Logistic Models
  2. Ab Rasid AM, Muazu Musa R, Abdul Majeed APP, Musawi Maliki ABH, Abdullah MR, Mohd Razmaan MA, et al.
    PLoS One, 2024;19(2):e0296467.
    PMID: 38329954 DOI: 10.1371/journal.pone.0296467
    The identification and prediction of athletic talent are pivotal in the development of successful sporting careers. Traditional subjective assessment methods have proven unreliable due to their inherent subjectivity, prompting the rise of data-driven techniques favoured for their objectivity. This evolution in statistical analysis facilitates the extraction of pertinent athlete information, enabling the recognition of their potential for excellence in their respective sporting careers. In the current study, we applied a logistic regression-based machine learning pipeline (LR) to identify potential skateboarding athletes from a combination of fitness and motor skills performance variables. Forty-five skateboarders recruited from a variety of skateboarding parks were evaluated on various skateboarding tricks while their fitness and motor skills abilities that consist of stork stance test, dynamic balance, sit ups, plank test, standing broad jump, as well as vertical jump, were evaluated. The performances of the skateboarders were clustered and the LR model was developed to classify the classes of the skateboarders. The cluster analysis identified two groups of skateboarders: high and low potential skateboarders. The LR model achieved 90% of mean accuracy specifying excellent prediction of the skateboarder classes. Further sensitivity analysis revealed that static and dynamic balance, lower body strength, and endurance were the most important factors that contributed to the model's performance. These factors are therefore essential for successful performance in skateboarding. The application of machine learning in talent prediction can greatly assist coaches and other relevant stakeholders in making informed decisions regarding athlete performance.
    Matched MeSH terms: Logistic Models
  3. Abbas F.M.A., Saifullah, R., Azhar, M.E.
    MyJurnal
    Cavendish (Musa paradisiaca L, cv cavendshii) and Dream (Musa acuminata colla. AAA, cv ‘Berangan’) banana flours were prepared from ripe fruits collected from eleven markets located in Penang, Malaysia. The mineral composition (Na, K, Ca, Mg, Cu, Fe, Mn, Zn) of the flour were analyzed by atomic absorption spectrophotometer and the data obtained were analyzed using logistic regression model. Ripe banana flours were rich source of K and a fair source of other minerals, however logistic regression model identified Mg as an indicator to discriminate between the two types of banana flour affording 100 % correct assignation. Based on this result, mineral analysis may be suggested as a method to authenticate ripe banana flour. This study also presents the usefulness of logistic regression technique for analysis and interpretation of complex data.
    Matched MeSH terms: Logistic Models
  4. Abbasiliasi S, Tan JS, Ibrahim TAT, Ramanan RN, Kadkhodaei S, Mustafa S, et al.
    J Food Sci Technol, 2018 Apr;55(4):1270-1284.
    PMID: 29606741 DOI: 10.1007/s13197-018-3037-x
    This paper deliberates the modelling and validation of bacteriocin-like inhibitory substance (BLIS) secretion by Pediococcus acidilactici Kp10 at different agitation speeds in a stirred tank bioreactor. A range of models namely the re-parameterised logistic, Luedeking-Piret and maintenance energy were assessed to predict the culture performance of the said bacterium. Growth of P. acidilactici Kp10 was enhanced with increased agitation speed up to 600 rpm while BLIS secretion was maximum at 400 rpm but decreased at higher agitation speed. Growth of P. acidilactici aptly subscribed to the re-parameterised logistic model while BLIS secretion and lactose consumption fitted well with the Luedeking-Piret model. The models revealed a relationship between growth of the bacterium and BLIS secretion. Bacterial growth and BLIS secretion were largely affected by the agitation speed of the stirred tank bioreactor which regulated the oxygen transfer to the culture. BLIS secretion by P. acidilactici Kp10 was however enhanced in oxygen-limited culture. The study also assessed BLIS from the perspective of its stability when subjected to factors such as temperature, pH and detergents. Results showed that BLIS produced by this strain was not affected by heat (at 25-100 °C for 20 min and at 121 °C for 15 min), surfactant (Tween 40, 60 and 80 and urea), detergents (up to 1% SDS), organic solvents (50% each of acetone, methanol and ethanol) and stable in a wide range of pH (2-10). The above information are pertinent with reference to commercial applications of this bacterial product in food manufacturing which invariably involve various sterilization processes and subjected to a wide pH range.
    Matched MeSH terms: Logistic Models
  5. Abd Rahman R, Idris IB, Husnina Ibrahim
    MyJurnal
    Introduction: Mental health problem is an important public health issue which causes deterioration in quality of life, function and financial capabilities. According to the National Health and Morbidity Survey (NHMS) 1996, the prevalence of mental problem among adults in Malaysia was 10.7% and this has increased to 29.2% in NHMS 2015. The aim of this study was to evaluate the burden of depression, anxiety and stress among adults in a city in Klang Valley, Malaysia including its associated factors.
    Methods: A cross-sectional study was conducted by analysing secondary data obtained from screening program performed in six primary health clinics in the city throughout 2016. There were 576 adults participated in the screening program which consisted of mental health screening using Depression, Anxiety, Stress 21 (DASS-21) questionnaire and health status screening using Health Status Screening Form.
    Results: The prevalence of depression was 20.5%, anxiety was 44.5%, while stress was 10.1%. By using logistic regression, history of being abused was the only significant protective factor associated with depression, anxiety and stress with OR of 0.062 (95% CI 0.007; 0.563, p=0.004), OR of 0.001 (95% CI 0.000; -, p=0.001) and OR of 0.026 (95% CI 0.003; 0.238, p<0.001) respectively. Other independent variables were not statistically significant.
    Conclusions: As conclusions, surprisingly the risk of depression, anxiety and stress were not increased among participants who reported history of being abused. This was probably due to good coping mechanism among them. Nevertheless, early intervention needs to be emphasized to prevent mental disorders among this group of people in community.
    Keywords: Depression, Anxiety, Stress, Adults, Urban
    Matched MeSH terms: Logistic Models
  6. Abdollahi F, Agajani-Delavar M, Zarghami M, Lye MS
    Iran J Psychiatry Behav Sci, 2016 Mar;10(1):e426.
    PMID: 31168307 DOI: 10.17795/ijpbs-426
    Background: Post-partum depression (PPD) can produce adverse symptoms that make motherhood one of the most tumultuous events in a female's life. First-time mothers who have problems adapting themselves to the mother's role are more vulnerable to PPD.

    Objectives: The current study aimed to explore the extent of social support and parental self-efficacy on PPD, this study was conducted among the first-time pregnant women.

    Patients and Methods: A prospective cohort study assessed the depressive symptoms and related factors among 838 first-time not depressed pregnant women from third trimester of pregnancy to 12 weeks postpartum who attended primary health centers (Jan to July 2009). The study employed Edinburgh postnatal depression scale, social support appraisals scale, network orientation scale, marital inventory, parental expectation survey and socio-demographic questionnaires. Logistic regression was used for data analysis.

    Results: The incidence of depression was 10.7% at three months post-partum. The adjusted odds ratio showed the PPD was associated with perceived social isolation (OR = 1.06; 95% CI = 1.01 - 1.12), lack of marital satisfaction (OR = 0.91; 95% CI = 0.86 - 0.97) and low parental self-efficacy (OR = 0.74; 95% CI = 0.65 - 0.85).

    Conclusions: A high incidence of PPD was identified among the first-time mothers which makes PPD one of the major health problems in females. The important effects of perceived social isolation, maternal parental self-efficacy, and marital satisfaction on reducing the risk of PPD should be considered.
    Matched MeSH terms: Logistic Models
  7. Abdul Aziz FA, Abd Razak MA, Ahmad NA, Awaluddin SM, Lodz NA, Sooryanarayana R, et al.
    Asia Pac J Public Health, 2019 11;31(8_suppl):73S-79S.
    PMID: 31353928 DOI: 10.1177/1010539519862161
    Various factors contribute to suicidal attempt. This study aims to determine the relationship between suicidal attempt and its associated factors among school-going adolescents in Malaysia. Data from the National Health and Morbidity 2017 survey were analyzed. This survey was implemented as a nationwide school-based survey targeting adolescents 13 to 17 years old. Descriptive and multiple logistic regression analysis was done using SPSS version 20. A total of 27 399 adolescents participated in this survey. The prevalence of suicidal attempt was 6.9% (95% confidence interval = 6.2-7.7). Multivariate analysis found that the odds of suicidal attempt among adolescent with depression is 4.3 (adjusted odds ratio = 4.3; 95% confidence interval = 3.9-4.8). Other significant factors are young adolescent, non-Malay ethnicities especially Indian, adolescent with parents living apart, and those without peer support and parental connectedness. A holistic approach for the planning of preventative strategies and public health policies should be made according to these risk factors.
    Study name: National Health and Morbidity Survey (NHMS-2017)
    Matched MeSH terms: Logistic Models
  8. Abdul Aziz, M., Wan Ismail W.S., Bahar N., Mahadevan R., Azhar Shah S.
    MyJurnal
    Introduction: Internet addiction is becoming a global problem and has been associated with mental health issues such as depression and anxiety. There is a strong need for local research, given the recent rise of mental health issues amongst children and adolescents in Malaysia, as well as lack of research in this field locally. Methods: This study assessed the prevalence of internet addiction, and its association with internetrelated factors, depressive symptoms, anxiety symptoms, and self-esteem, amongst selected secondary school students in the Klang Valley, Malaysia. In a cross-sectional study, 199 adolescents were conveniently chosen from six randomly selected secondary schools within Klang Valley. Subjects completed a demographic questionnaire, as well as Malay versions of the Internet Addiction Test (MVIAT), Children’s Depression Inventory (CDI), Depression Anxiety Stress Scales-21 anxiety subscale (DASS-21) and Rosenberg Self-Esteem Scale (RSES). Multiple logistic regression analysis was carried out. Results: This study found that 49.2% of students were addicted to the internet. Significant factors associated with internet addiction were spending longer hours online during the holidays (OR 1.20, CI 1.01-1.35), easy access to a computer (OR 4.01, CI 1.50 - 10.76), confiding on the internet (OR 4.07, CI 1.49-11.13), severe level of anxiety (OR 3.63, CI 1.04-12.73) and high depression scores (OR 1.10, CI 1.01-1.20). Contrary to previous studies, self-esteem was not found to be significantly associated with internet addiction. Conclusion: This study has important implications in relation to clinical practice, research, and policy-making in Malaysia.
    Matched MeSH terms: Logistic Models
  9. Abdul Manaf R, Dickson N, Lovell S, Ibrahim F
    BMC Public Health, 2019 Nov 07;19(1):1473.
    PMID: 31699061 DOI: 10.1186/s12889-019-7855-1
    BACKGROUND: Men who inject drugs (MWIDs) comprise the highest percentage of diagnosed HIV cases in Malaysia. Their female partners risk being infected through unprotected sexual contact. This paper reports the prevalence of consistent condom use and its predictors among the wives and regular sexual partners of MWIDs in Klang Valley, Malaysia.

    METHODS: A cross-sectional study using a self-administered questionnaire was conducted among the wives and regular sexual partners of MWIDs in the study location; 221 women were recruited through respondent-driven sampling. Data were analysed descriptively for the prevalence of consistent condom use, HIV status and HIV risk-related behaviour. Subsequently, simple and multiple logistic regressions were undertaken to identify the predictors of consistent condom use.

    RESULTS: The prevalence of consistent condom use among respondents was 19.5%. Slightly more than half (52.5%) of respondents had never used condoms with their partner. Fourteen women (6.3%) reported being HIV positive. While 7.7% had HIV-positive partners, 45.7% were unaware of their partner's HIV status. Consistent condom use was significantly higher among single women (AOR = 4.95; 95% CI: 2.45, 9.99), women who lived in urban areas (AOR = 2.97; 95% CI: 1.30, 6.78), HIV-positive women (AOR = 3.45; 95% CI: 1.13, 10.5) and women involved in sex work (AOR = 3.55, 95% CI: 1.45, 8.67).

    CONCLUSIONS: Inconsistent condom use among the majority of female sexual partners of MWIDs underscores the heightened risk faced by these women and calls for alternative prevention methods that women are able to control.

    Matched MeSH terms: Logistic Models
  10. Abdul Manan MM
    Accid Anal Prev, 2014 Sep;70:301-13.
    PMID: 24831271 DOI: 10.1016/j.aap.2014.04.009
    This paper uses data from an observational study, conducted at access points in straight sections of primary roads in Malaysia in 2012, to investigate the effects of motorcyclists' behavior and road environment attributes on the occurrence of serious traffic conflicts involving motorcyclists entering primary roads via access points. In order to handle the unobserved heterogeneity in the small sample data size, this study applies mixed effects logistic regression with multilevel bootstrapping. Two statistically significant models (Model 2 and Model 3) are produced, with 2 levels of random effect parameters, i.e. motorcyclists' attributes and behavior at Level 1, and road environment attributes at Level 2. Among all the road environment attributes tested, the traffic volume and the speed limit are found to be statistically significant, only contributing to 26-29% of the variations affecting the traffic conflict outcome. The implication is that 71-74% of the unmeasured or undescribed attributes and behavior of motorcyclists still have an importance in predicting the outcome: a serious traffic conflict. As for the fixed effect parameters, both models show that the risk of motorcyclists being involved in a serious traffic conflict is 2-4 times more likely if they accept a shorter gap to a single approaching vehicle (time lag <4s) and in between two vehicles (time gap <4s) when entering the primary road from the access point. A road environment factor, such as a narrow lane (seen in Model 2), and a behavioral factor, such as stopping at the stop line (seen in Model 3), also influence the occurrence of a serious traffic conflict compared to those entering into a wider lane road and without stopping at the stop line, respectively. A discussion of the possible reasons for this seemingly strange result, including a recommendation for further research, concludes the paper.
    Matched MeSH terms: Logistic Models
  11. Abdul Rahman HI, Shah SA, Alias H, Ibrahim HM
    Asian Pac J Cancer Prev, 2008 Oct-Dec;9(4):649-52.
    PMID: 19256754
    BACKGROUND: In Malaysia, acute leukemia is the most common cancer among children below the age of 15. A case-control study was here conducted for cases from the Klang Valley, Malaysia, who received treatment at the National University of Malaysia Hospital (HUKM) and Kuala Lumpur General Hospital (GHKL). The main objective was to determine any association with environmental factors.

    METHODS: Case subjects were children aged below 15 years and diagnosed with acute leukemia in HUKM and GHKL between January 1, 2001 and May 30, 2007. Control subjects were children aged below 15 years who were diagnosed with any non-cancerous acute illnesses in these hospitals. A total of 128 case subjects and 128 control subjects were enrolled in this study. The information was collected using a structured questionnaire and a global positioning system (GPS) device. All factors were analyzed using unmatched logistic regression.

    RESULTS: The analysis showed that the occurrence of acute leukemia among children was strongly determined by the following factors: family income (odds ratio (OR) 0.19, 95% confidence interval (CI): 0.09-0.42), father with higher social contact (OR 7.61, 95% CI: 3.78-15.4), number of elder siblings (OR 0.36, 95% CI: 0.18-0.77), father who smokes (OR 2.78, 95% CI: 1.49-5.16), and the distance of the house from a power line (OR 2.30, 95% CI: 1.18-4.49).

    CONCLUSIONS: Some socioeconomic, demographic, and environmental factors are strong predictors of the occurrence of acute leukemia among children in Klang Valley, Malaysia. In terms of environmental factors, it is recommended that future housing areas should be developed at least 200 m away from power lines.
    Matched MeSH terms: Logistic Models
  12. Abdul Samad S, Hairi NN, Ismail M
    Asia Pac J Public Health, 2016 05;28(4):313-24.
    PMID: 27122624 DOI: 10.1177/1010539516645158
    This cross-sectional study aimed to determine the prevalence and the factors associated with sexual initiation among the late adolescents in 6 institutions of higher learning in Malaysia. A total of 1572 students completed self-administered questionnaires between April and September 2013. Hierarchical multivariate logistic regression analyses stratified by gender were employed to identify the correlates of sexual initiation. The analyses were further adjusted by sampling weights. The overall prevalence of sexual initiation was 9.8% (95% confidence interval [CI] = 8.3-11.6), 18.1% (95% CI = 15.1-21.5) among males, and 4.1% (95% CI = 2.9-5.9) among females. The risk factors identified in this study supported the influence of the individual, family, and peer factors in the social-ecological model on adolescents' behaviors. The findings suggest the need for risk-reduction strategies aimed at the individual, family, and peer levels as well as the importance of gender-specific focus in assuring better outcomes.
    Matched MeSH terms: Logistic Models
  13. Abdul Sani NF, Ahmad Damanhuri MH, Amir Hamzah AIZ, Abu Bakar ZH, Tan JK, Nor Aripin KN, et al.
    Free Radic Res, 2018 Sep;52(9):1000-1009.
    PMID: 30079776 DOI: 10.1080/10715762.2018.1506877
    Ageing is associated with increased oxidative stress accompanied by cognitive decline. The aim of this study was to evaluate oxidative stress biomarkers and their possible relationship with cognitive performances during ageing among the Malay population. Approximately 160 healthy Malay adults aged between 28 and 79 years were recruited around Selangor and Klang Valley. Cognitive function was assessed by Montreal Cognitive Assessment (MoCA), forward digit span (FDS), backward digit span (BDS), digit symbol, Rey Auditory Verbal Learning Test immediate recalled [RAVLT(I)] and delayed recalled [RAVLT(D)], and visual reproduction immediate recalled (VR-I) and delayed recalled (VR-II). DNA damage, plasma protein carbonyl and malondialdehyde (MDA) levels were also determined. Cognitive function test showed significant lower scores of MoCA, BDS, RAVLT(I), RAVLT(D), digit symbol, VR-I, and VR-II in the older age group (60 years old) compared with the 30-, 40-, and 50-year-old group. The extent of DNA damage was sequential with age: 60 > 50 > 40 > 30, whereas protein carbonyl was higher in 40-, 50-, and 60-year-old groups compared with the youngest group (30 years old). However, the MDA level was observed unchanged in all age groups. Approximately 21.88% of the participants had cognitive impairment. Multiple logistic regression analysis revealed that DNA damage and protein carbonyl levels are predictors for cognitive impairment in healthy Malays. In conclusion, cognitive decline occurred in healthy adult Malay population at an early age of 30 years old with corresponding higher DNA damage and protein oxidation.
    Matched MeSH terms: Logistic Models
  14. Abdullah D, Soo SY, Kanagasingam S
    Singapore Dent J, 2016 Dec;37:21-26.
    PMID: 27916252 DOI: 10.1016/j.sdj.2016.01.001
    BACKGROUND: Dental and maxillofacial injuries are one of the areas of concern highlighted in the Malaysian National Oral Health Plan 2011-2020. General dental practitioners (GDPs) have the responsibility of diagnosing and assessing dental trauma and determining the prognosis and outcomes of trauma along with its management. The purpose of this study was to evaluate the knowledge base and preferred methods of general dental practitioners regarding the management of avulsed tooth.

    METHODS: A random convenient sampling methodology was employed for sample selection. A pre-tested 11-item questionnaire was validated on the dental officers. The survey was distributed to 182 GDPs attending the annual Malaysian Dental Association conference in January 2010. The data obtained was statistically analyzed using descriptive analysis and logistic regression was employed to predict the probability of achieving high scores.

    RESULTS: A total of 182 general dental practitioners participated in the study, with the majority being female (n=153, 75%). The place of practice significantly affected the knowledge score. In the group that scored more than 80 points (n=84, 46%), 76% of them worked with government hospitals. Age, work duration and number of traumatised teeth previously treated had no significant effect. The odds ratio for place of practice indicates that respondents who work in government hospitals are 3.6 times more likely to score more than 80 points compared to those who worked in private clinics (OR=3.615, P=0.001).

    CONCLUSION: The knowledge level on the management of avulsed tooth among general dental practitioners in Malaysia needs to be improved. Strategies in improvement of the Malaysian dental educational system, continuous dental educational activities and utilisation of guidelines on trauma management should be recommended to increase the knowledge level of avulsed tooth management to ensure good treatment outcomes.

    CLINICAL IMPLICATION: Trauma prevention and further education regarding the management of avulsed tooth is an essential requirement to improve general dental practitioners knowledge and clinical skills.

    Matched MeSH terms: Logistic Models
  15. Abdullah DA, Ola-Fadunsin SD, Ruviniyia K, Gimba FI, Chandrawathani P, Lim YAL, et al.
    Food Waterborne Parasitol, 2019 Mar;14:e00035.
    PMID: 32095605 DOI: 10.1016/j.fawpar.2019.e00035
    Enteric protozoa infection among cattle may pose a threat to productivity and survival leading to negative impacts on the livestock industry. A number of these pathogens are also known to be zoonotic and are of public health concern. Despite the importance of these enteric protozoa to both animal and human health, there remains a paucity of published information on the epidemiological risk factors that may be associated with bovine cryptosporidiosis in Southeast Asia. The present study was undertaken to determine the molecular prevalence and associated risk factors for Cryptosporidium infection among beef and dairy cattle in Peninsular Malaysia. Faecal samples were collected from 824 cattle in 39 farms (526 beef and 298 dairy) situated in 33 locations throughout the country, and subjected to PCR detection for Cryptosporidium using primers targeting the 18S SSUrRNA gene. Epidemiological variables including host, environment and management factors were subjected to univariate and multivariate logistic regression analyses to determine the potential risk factors for infection. The prevalence of Cryptosporidium among the cattle was 12.5%, with significant difference in the infection rate among the various breeds. There was no significant effect of gender, and both the beef and dairy cattle were at similar odds for infection. The younger cattle had a significantly higher infection rate compared to the older animals. Multivariate analysis revealed that deworming practice, distance to human settlement, geographical location (zone) and farm management system were significant risk factors associated with Cryptosporidium infection. The cattle that were reared on farms located in the northeast of the country, closest (≤200 m) to human settlements, reared extensively, and dewormed every four months were at highest risk of infection. The present study constitutes the first attempt to analyze the multivariable epidemiological risk factors involved in bovine cryptosporidiosis in Malaysia and in Southeast Asia. It is envisaged that the data obtained will facilitate better control and prevention measures for Cryptosporidium infection among cattle in the region. Due to the potential zoonotic nature of the infection, serious steps should be instituted for animal treatment and biohazard waste management on local cattle farms.
    Matched MeSH terms: Logistic Models
  16. Abdullah J, Ariff AR, Ghazaime G, Naing NN
    Stereotact Funct Neurosurg, 2001;76(3-4):175-80.
    PMID: 12378096
    The beneficial effects of stereotactic third ventriculostomy versus ventriculoperitoneal shunt were evaluated in 62 paediatric patients and analysed in relation to age, sex, clinical history, presence of meningomyelocele, magnetic resonance imaging measurements of hydrocephalus and third ventricle floor size. The third ventriculostomy were done on 50 patients using the Richard-Wolf Caemaert Endoscope and the Leksell Stereotactic Frame Model G. These patients were operated using the 4-French Fogarty catheter to open the base of the third ventricle. During the same period of study 12 paediatric patients with aqueduct stenosis who were managed by ventriculoperitoneal shunt were included. Both surgical procedures were compared. Statistically univariate analysis revealed that those patient with an age group of more than six months undergoing ventriculostomy had good outcome. Multivariate analysis revealed that past history of haemorrhage and/or meningitis were predictors of poor outcome. Sex, size of lumbar meningocele at birth, abnormal ventricular anatomy or narrow third ventricular floor size were non predictors of bad outcome in these patients. There was no difference in outcome in both the shunt or ventriculostomy group.
    Matched MeSH terms: Logistic Models
  17. Abdullah N, Abdul Murad NA, Attia J, Oldmeadow C, Mohd Haniff EA, Syafruddin SE, et al.
    Diabet Med, 2015 Oct;32(10):1377-84.
    PMID: 25711284 DOI: 10.1111/dme.12735
    AIMS: To characterize the association with Type 2 diabetes of known Type 2 diabetes risk variants in people in Malaysia of Malay, Chinese and Indian ancestry who participated in the Malaysian Cohort project.
    METHODS: We genotyped 1604 people of Malay ancestry (722 cases, 882 controls), 1654 of Chinese ancestry (819 cases, 835 controls) and 1728 of Indian ancestry (851 cases, 877 controls). First, 62 candidate single-nucleotide polymorphisms previously associated with Type 2 diabetes were assessed for association via logistic regression within ancestral groups and then across ancestral groups using a meta-analysis. Second, estimated odds ratios were assessed for excess directional concordance with previously studied populations. Third, a genetic risk score aggregating allele dosage across the candidate single-nucleotide polymorphisms was tested for association within and across ancestral groups.
    RESULTS: After Bonferroni correction, seven individual single-nucleotide polymorphisms were associated with Type 2 diabetes in the combined Malaysian sample. We observed a highly significant excess in concordance of effect directions between Malaysian and previously studied populations. The genetic risk score was strongly associated with Type 2 diabetes in all Malaysian groups, explaining from 1.0 to 1.7% of total Type 2 diabetes risk variance.
    CONCLUSION: This study suggests there is substantial overlap of the genetic risk alleles underlying Type 2 diabetes in Malaysian and other populations.
    Study name: The Malaysian Cohort (TMC) project
    Matched MeSH terms: Logistic Models
  18. Abdullah N, Abdul Murad NA, Mohd Haniff EA, Syafruddin SE, Attia J, Oldmeadow C, et al.
    Public Health, 2017 Aug;149:31-38.
    PMID: 28528225 DOI: 10.1016/j.puhe.2017.04.003
    OBJECTIVE: Malaysia has a high and rising prevalence of type 2 diabetes (T2D). While environmental (non-genetic) risk factors for the disease are well established, the role of genetic variations and gene-environment interactions remain understudied in this population. This study aimed to estimate the relative contributions of environmental and genetic risk factors to T2D in Malaysia and also to assess evidence for gene-environment interactions that may explain additional risk variation.
    STUDY DESIGN: This was a case-control study including 1604 Malays, 1654 Chinese and 1728 Indians from the Malaysian Cohort Project.
    METHODS: The proportion of T2D risk variance explained by known genetic and environmental factors was assessed by fitting multivariable logistic regression models and evaluating McFadden's pseudo R(2) and the area under the receiver-operating characteristic curve (AUC). Models with and without the genetic risk score (GRS) were compared using the log likelihood ratio Chi-squared test and AUCs. Multiplicative interaction between genetic and environmental risk factors was assessed via logistic regression within and across ancestral groups. Interactions were assessed for the GRS and its 62 constituent variants.
    RESULTS: The models including environmental risk factors only had pseudo R(2) values of 16.5-28.3% and AUC of 0.75-0.83. Incorporating a genetic score aggregating 62 T2D-associated risk variants significantly increased the model fit (likelihood ratio P-value of 2.50 × 10(-4)-4.83 × 10(-12)) and increased the pseudo R(2) by about 1-2% and AUC by 1-3%. None of the gene-environment interactions reached significance after multiple testing adjustment, either for the GRS or individual variants. For individual variants, 33 out of 310 tested associations showed nominal statistical significance with 0.001 
    Matched MeSH terms: Logistic Models
  19. Abdullah N, Borhanuddin B, Patah AEA, Abdullah MS, Dauni A, Kamaruddin MA, et al.
    J Evid Based Integr Med, 2018 4 14;23:2515690X18765945.
    PMID: 29651870 DOI: 10.1177/2515690X18765945
    BACKGROUND: This study aimed to identify the factors of CAM usage for general health and to determine the factors associated with the usage of different types of CAM after the diagnosis of chronic diseases among The Malaysian Cohort participants.
    METHODS: This was a cross-sectional study derived from The Malaysian Cohort (TMC) project, a prospective population-based cohort aged between 35 to 65 years old that recruited from April 2006 to September 2012. Association between the CAM usage and contributing factors were determined via logistic regression.
    RESULTS: The sample were mostly female (58.1%), Malays (43.1%), came from urban (71.9%), aged 44 years and below (26.8%) and had secondary education (45.9%). The prevalence of CAM usage varied across diseases; 62.8% in cancer patients, 53.3% in hypercholesterolemia, 49.4% in hypertensives and 48.6% in diabetics. General CAM usage was greater among female (OR: 1.54, 95% CI: 1.49, 1.59), Chinese (OR: 1.15, 95% CI: 1.12, 1.19), those with higher education (OR: 3.12, 95% CI: 3.00, 3.25), urban residents (OR: 1.55, 95% CI: 1.50, 1.61) and older people (OR ranging from 1.15 to 1.75) while for post-diagnosis of chronic diseases usage, the odds were higher among those with lower education and living in rural areas.
    CONCLUSION: Health status, educational level, age, living location and types of chronic diseases were significant factors that influence CAM usage for the intent of either health maintenance or disease treatment. Further exploration on CAM safety and benefit are crucial to minimize the adverse effect and to ensure the efficacy of CAM product.
    Study name: The Malaysian Cohort (TMC) project
    Matched MeSH terms: Logistic Models
  20. Abdullah NM, Mohammad WMZW, Shafei MN, Sukeri S, Idris Z, Arifin WN, et al.
    BMC Public Health, 2019 May 22;19(1):628.
    PMID: 31117995 DOI: 10.1186/s12889-019-6981-0
    BACKGROUND: Leptospirosis is still endemic in Malaysia and has been prevalent in Selangor where cases have been underreported. Primarily, this was due to lack of awareness in the urban community in this region. This study determined the knowledge, attitude and preventive practice (KAP) of leptospirosis, and identified the significant predictors influencing KAP among urban community in Hulu Langat, Selangor.

    METHODS: This cross-sectional study was conducted from 2015 to 2017 using validated questionnaire. Sampling methods included multistage cluster sampling, followed by simple random sampling to obtain 315 respondents. Descriptive analysis was performed to determine the KAP while χ2 and the subsequent logistic regression analysis were carried out to identify associations and predictors between variables.

    RESULTS: Respondents were mainly Malaysian Bumiputra with a mean (Standard Deviation (SD)) age of 32.5 (13.0) years. Of 315 respondents, 80.3% (n = 253) had poor knowledge, 87.0% (n = 274) had good attitude, and 81.3% (n = 256) showed unacceptable practice towards leptospirosis and its prevention. Regression analysis identified age as the sole predictor influencing good knowledge (AOR 2.388; 95% CI = 1.298, 4.396; p = 0.005). Education level (AOR 2.197; 95% CI = 1.109, 4.352; p = 0.024) was also noted as the significant predictor influencing the overall practice.

    CONCLUSIONS: The urban community in Selangor showed a positive attitude in waste management despite having little knowledge regarding the disease itself. The study also discovered inadequacy in preventive practice, hence marking the importance of the proper integration of knowledge and attitude into forming an acceptable practice to reduce transmission of Leptospira among urban population in Malaysia.

    Matched MeSH terms: Logistic Models
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