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  1. Yong HY, Mohd Shariff Z, Mohd Yusof BN, Rejali Z, Bindels J, Tee YYS, et al.
    BMC Pregnancy Childbirth, 2020 Oct 07;20(1):597.
    PMID: 33028258 DOI: 10.1186/s12884-020-03299-8
    BACKGROUND: Although physical activity (PA) in pregnancy benefits most women, not much is known about pregnancy-related changes in PA and its association with gestational diabetes mellitus (GDM) risk. The aim of this study was to identify the trajectory of PA during pregnancy and possible associations with the risk of GDM.

    METHODS: This was a prospective cohort study of 452 pregnant women recruited from 3 health clinics in a southern state of Peninsular Malaysia. PA levels at the first, second, and third trimester were assessed using the Pregnancy Physical Activity Questionnaire. GDM was diagnosed at 24-28 weeks of gestation following the Ministry of Health Malaysia criteria. Group-based trajectory modeling was used to identify PA trajectories. Three multivariate logistic models were used to estimate the odds of trajectory group membership and GDM.

    RESULTS: Two distinct PA trajectories were identified: low PA levels in all intensity of PA and sedentary behavior (Group 1: 61.1%, n = 276) and high PA levels in all intensity of PA as well as sedentary behavior (Group 2: 38.9%, n = 176). Moderate and high intensity PA decreased over the course of pregnancy in both groups. Women in group 2 had significantly higher risk of GDM in two of the estimated logistic models. In all models, significant associations between PA trajectories and GDM were only observed among women with excessive gestational weight gain in the second trimester.

    CONCLUSIONS: Women with high sedentary behavior were significantly at higher risk of GDM despite high PA levels by intensity and this association was significant only among women with excessive GWG in the second trimester. Participation in high sedentary behavior may outweigh the benefit of engaging in high PA to mitigate the risk of GDM.

    Matched MeSH terms: Logistic Models
  2. Yong HY, Mohd Shariff Z, Appannah G, Rejali Z, Mohd Yusof BN, Bindels J, et al.
    Public Health Nutr, 2020 Dec;23(18):3304-3314.
    PMID: 32814606 DOI: 10.1017/S1368980020002372
    OBJECTIVE: To examine the gestational weight gain (GWG) trajectory and its possible association with pregnancy outcomes.

    DESIGN: GWG trajectories were identified using the latent class growth model. Binary logistic regression was performed to examine the associations between adverse pregnancy outcomes and these trajectories.

    SETTING: Negeri Sembilan, Malaysia.

    PARTICIPANTS: Two thousand one hundred ninety-three pregnant women.

    RESULTS: Three GWG trajectories were identified: 'Group 1 - slow initial GWG but followed by drastic GWG', 'Group 2 - maintaining rate of GWG at 0·58 kg/week' and 'Group 3 - maintaining rate of GWG at 0·38 kg/week'. Group 1 had higher risk of postpartum weight retention (PWR) (adjusted OR (AOR) 1·02, 95 % CI 1·01, 1·04), caesarean delivery (AOR 1·03, 95 % CI 1·01, 1·04) and having low birth weight (AOR 1·04, 95 % CI 1·02, 1·05) compared with group 3. Group 2 was at higher risk of PWR (AOR 1·18, 95 % CI 1·16, 1·21), preterm delivery (AOR 1·03, 95 % CI 1·01, 1·05) and caesarean delivery (AOR 1·02, 95 % CI 1·01, 1·03), but at lower risk of having small-for-gestational-age infants (AOR 0·97, 95 % CI 0·96, 0·99) compared with group 3. The significant associations between group 1 and PWR were observed among non-overweight/obese women; between group 1 and caesarean delivery among overweight/obese women; group 2 with preterm delivery and caesarean delivery were only found among overweight/obese women.

    CONCLUSIONS: Higher GWG as well as increasing GWG trajectories was associated with higher risk of adverse pregnancy outcomes. Promoting GWG within the recommended range should be emphasised in antenatal care to prevent the risk of adverse pregnancy outcomes.

    Matched MeSH terms: Logistic Models
  3. Maiwall R, Sarin SK, Kumar S, Jain P, Kumar G, Bhadoria AS, et al.
    Liver Int, 2017 Oct;37(10):1497-1507.
    PMID: 28393476 DOI: 10.1111/liv.13443
    BACKGROUND AND AIM: There is limited data on predictors of acute kidney injury in acute on chronic liver failure. We developed a PIRO model (Predisposition, Injury, Response, Organ failure) for predicting acute kidney injury in a multicentric cohort of acute on chronic liver failure patients.

    PATIENTS AND METHODS: Data of 2360 patients from APASL-ACLF Research Consortium (AARC) was analysed. Multivariate logistic regression model (PIRO score) was developed from a derivation cohort (n=1363) which was validated in another prospective multicentric cohort of acute on chronic liver failure patients (n=997).

    RESULTS: Factors significant for P component were serum creatinine[(≥2 mg/dL)OR 4.52, 95% CI (3.67-5.30)], bilirubin [(<12 mg/dL,OR 1) vs (12-30 mg/dL,OR 1.45, 95% 1.1-2.63) vs (≥30 mg/dL,OR 2.6, 95% CI 1.3-5.2)], serum potassium [(<3 mmol/LOR-1) vs (3-4.9 mmol/L,OR 2.7, 95% CI 1.05-1.97) vs (≥5 mmol/L,OR 4.34, 95% CI 1.67-11.3)] and blood urea (OR 3.73, 95% CI 2.5-5.5); for I component nephrotoxic medications (OR-9.86, 95% CI 3.2-30.8); for R component,Systemic Inflammatory Response Syndrome,(OR-2.14, 95% CI 1.4-3.3); for O component, Circulatory failure (OR-3.5, 95% CI 2.2-5.5). The PIRO score predicted acute kidney injury with C-index of 0.95 and 0.96 in the derivation and validation cohort. The increasing PIRO score was also associated with mortality (P

    Matched MeSH terms: Logistic Models
  4. Dhabali AA, Awang R, Zyoud SH
    Int J Clin Pharmacol Ther, 2011 Aug;49(8):500-9.
    PMID: 21781650 DOI: 10.5414/cp201524
    BACKGROUND: The prescription of contraindicated drugs is a preventable medication error, which can cause morbidity and mortality. Recent data on the factors associated with drug contraindications (DCIs) is limited world-wide, especially in Malaysia.

    AIMS: The objectives of this study are 1) to quantify the prevalence of DCIs in a primary care setting at a Malaysian University; 2) to identify patient characteristics associated with increased DCI episodes, and 3) to identify associated factors for these DCIs.

    METHODS: We retrospectively collected data from 1 academic year using computerized databases at the Universiti Sains Malaysia (USM) from patients of USM's primary care. Descriptive and comparative statistics were used to characterize DCIs.

    RESULTS: There were 1,317 DCIs during the study period. These were observed in a cohort of 923 patients, out of a total of 17,288 patients, representing 5,339 DCIs per 100,000 patients, or 5.3% of all patients over a 1-year period. Of the 923 exposed patients, 745 (80.7%) were exposed to 1 DCI event, 92 (10%) to 2 DCI events, 35 (3.8%) to 3 DCI events, 18 (2%) to 4 DCI events, and 33 patients (3.6%) were exposed to 5 or more DCI events. The average age of the exposed patients was 30.7 ± 15 y, and 51.5% were male. Multivariate logistic regression analysis revealed that being male (OR = 1.3; 95% CI = 1.1 - 1.5; p < 0.001), being a member of the staff (OR = 3; 95% CI = 2.5 - 3.7; p < 0.001), having 4 or more prescribers (OR = 2.8; 95% CI = 2.2 - 3.6; p < 0.001), and having 4 or more longterm therapeutic groups (OR = 2.3; 95%CI = 1.7 - 3.1; p < 0.001), were significantly associated with increased chance of exposure to DCIs.

    DISCUSSION AND CONCLUSIONS: This is the first study in Malaysia that presents data on the prevalence of DCIs. The prescription of contraindicated drugs was found to be frequent in this primary care setting. Exposure to DCI events was associated with specific socio-demographic and health status factors. Further research is needed to evaluate the relationship between health outcomes and the exposure to DCIs.
    Matched MeSH terms: Logistic Models
  5. Hassan Y, Al-Jabi SW, Aziz NA, Looi I, Zyoud SH
    Fundam Clin Pharmacol, 2011 Jun;25(3):388-94.
    PMID: 20608996 DOI: 10.1111/j.1472-8206.2010.00846.x
    Statins can reduce the risk of stroke in at-risk populations and improve survival after acute ischemic stroke (AIS) among patients with previous statin use. This study aimed to investigate the impact of statin use before AIS onset on in-hospital mortality and identify the factors related to in-hospital mortality among patients with and without previous statin use. A retrospective cohort study of all patients with AIS attending hospital from June 1, 2008 to December 31, 2008. Data were collected from medical records including demographic information, diagnostic information, risk factors, previous statin use, and vital discharge status. Chi-square, Fisher's exact tests, student's t-test, and Mann-Whitney U test, whatever appropriate, were used to test the significance between the variables, and multiple logistic regression was used to identify factors associated with in-hospital mortality. Altogether, 386 patients with AIS were studied, of which 113 (29.3%) had a documented previous statin use. A total of 62 (16.1%) patients with AIS died in hospital. In-hospital mortality was significantly lower among previous statin users (P = 0.013). The presence of atrial fibrillation (AF) increased in-hospital mortality among patients with or without previous statin use. The independent predictors for in-hospital mortality among AIS patients without previous statin use were the presence of diabetes mellitus (P = 0.047), AF (P = 0.045), and renal impairment (P < 0.001). The prophylactic administration of statins significantly reduces post-AIS in-hospital mortality. Furthermore, the identification of predictors of in-hospital mortality might reduce death rates and enhance the application of specific therapeutic and management strategies to patients at a high risk of dying.
    Matched MeSH terms: Logistic Models
  6. Hassan Y, Al-Jabi SW, Aziz NA, Looi I, Zyoud SH
    Int J Clin Pharmacol Ther, 2011 Oct;49(10):605-13.
    PMID: 21961485 DOI: 10.5414/cp201574
    BACKGROUND: Patients with diabetes mellitus (DM) are more prone to develop atherosclerotic complications including stroke. Moreover, as a primary and secondary prevention of stroke, antiplatelet therapy is recommended by clinical guidelines for patients with DM.

    AIMS: This study aimed to determine the prevalence of antiplatelet therapy use prior to current stroke in diabetic ischemic stroke patients, to examine the factors associated with the use of this important therapy and to assess the impact of the previous use of antiplatelet therapy on ischemic stroke outcomes.

    METHODS: An observational study of diabetic acute ischemic stroke patients attending a Malaysian hospital during a 1-year period was carried out. Demographic information, risk factors, previous antiplatelet use and variables used to assess stroke outcomes were collected from medical records.

    RESULTS: Overall, 295 diabetic stroke patients were analyzed. The prevalence of previous antiplatelet use among diabetic patients was 38.3%. The independent variables associated with the previous use of antiplatelet medication were previous stroke attack (p < 0.001) and ischemic heart disease (p < 0.001). Better outcomes as measured by a minor Glasgow Coma Scale at admission (p = 0.032), and a higher Modified Barthel index at discharge (p = 0.027) were observed among patients on previous antiplatelet therapy.

    CONCLUSION: Our data suggest that antiplatelet therapy is under prescribed among such diabetic stroke patients, particularly in primary prevention. Effective methods to increase antiplatelet use and to enhance the adherence of clinical practice guidelines should be considered at the national and community level.
    Matched MeSH terms: Logistic Models
  7. Nurjasmine Aida Binti Jamani, Karimah Hanim Binti Abd. Aziz, Zurainie Binti Abllah
    MyJurnal
    Background: Oral disease in association of pregnancy outcome has been long researched.
    Most pregnant women perceived that oral disease in pregnancy are expected and considered
    to be normal. Objective: This study aims to evaluate the knowledge of pregnant women and
    their practices towards oral disease. Methods: 296 pregnant mothers were recruited from
    government clinics in Kuantan, Malaysia. A validated and self -administered questionnaire
    assessing knowledge, attitudes and practices towards oral health was used. Results were
    analysed by descriptive analysis, chi square test and multiple logistic regression. Results:
    Most respondents showed poor knowledge on oral health problem with its pregnancy
    outcome (66.6%) and poor attitude about dental health during pregnancy (53.4%). Half of
    them had good practice on oral health. Tooth cavity (46.3%) and gum bleeding (29.4%) were
    the commonest problem reported by them. Only one third of the mothers utilize dental
    service. Higher level of education was associated with better oral health practice [OR:0.02 CI
    (1.12,3.92)] Conclusions: Knowledge on the relationship between oral health and pregnancy
    outcome is still low among pregnant mothers. Utilization of dental service was also low. High
    level of education is proven to give better oral health care.
    Matched MeSH terms: Logistic Models
  8. Sim-Kian Leong, Yi-Loon Tye, Nik Mahani Nik Mahmood, Zulfitri Azuan Mat Daud
    MyJurnal

    Introduction: Although the benefit of low protein diet (LPD) on chronic kidney disease (CKD) progression is well documented, patients’ adherence remains as the main challenge. Therefore, this study sought to identify adherence towards LPD among CKD patients and determine possible associating factors. Methods: This cross-sectional study was done at the Hospital Pakar Sultanah Fatimah in Muar, Johor, among stage III to V CKD patients. Three-day dietary recalls were used to quantify dietary energy (DEI) and protein intake (DPI). Factors investigated include socio-demo- graphic characteristics, medical history, anthropometry and body composition measurements, dietary knowledge, appetite level, handgrip strength, perceived stress, and health locus of control. Associating variables were analysed with logistic regression analysis. Results: The final analysis included 113 patients (54% male) with a mean estimated glomerular filtration rate of 17.5±11.2mL/min/1.73m2 and the average age of 56.3±12.8 years. Mean DEI and DPI were 22.4±5.9kcal/kg/day and 0.83±0.28g/kg/day, respectively. Only 34.5% of patients adhere to the LPD diet with 59% exceeding the DPI recommendation. Poorer LPD adherence was associated with longer duration of hospitaliza- tion (OR 0.707, 95%CI 0.50-1.00, p=0.048), higher energy intake (OR 0.744, 95%CI 0.65-0.85, p
    Matched MeSH terms: Logistic Models
  9. Boo NY, Zuraidah AL, Lim NL, Zulfiqar MA
    J Trop Pediatr, 2000 Jun;46(3):172-5.
    PMID: 10893920
    A case-control study was carried out on 97 consecutive preterm (< 37 weeks) infants to determine predictors associated with failure of nasal continuous positive airway pressure (CPAP) in the treatment of respiratory distress syndrome (RDS). Logistic regression analysis showed that only three risk factors were significantly associated with failed CPAP. These were: moderate or severe RDS (odds ratio: 5.9; 95 per cent confidence interval (CI): 2.2-16.0); septicemia during CPAP therapy (OR: 8.8; 95 per cent: CI 1.5-50.7); and pneumothorax during CPAP therapy (odds ratio: 6.9; 95 per cent: CI 1.1-41.7).
    Matched MeSH terms: Logistic Models
  10. Venkatason P, Zubairi YZ, Wan Ahmad WA, Hafidz MI, Ismail MD, Hadi MF, et al.
    BMJ Open, 2019 05 05;9(5):e025734.
    PMID: 31061031 DOI: 10.1136/bmjopen-2018-025734
    OBJECTIVES: Cardiogenic shock (CS) complicating ST-elevation myocardial infarction (STEMI) carries an extremely high mortality. The clinical pattern of this life threatening complication has never been described in Malaysian setting. This study is to investigate the incidence, clinical characteristics and outcome of STEMI patients with CS in our population.

    DESIGN: A retrospective analysis of STEMI patients from 18 hospitals across Malaysia contributing to the Malaysian National Cardiovascular Database-acute coronary syndrome) registry (NCVD-ACS) year 2006-2013.

    PARTICIPANTS: 16 517 patients diagnosed of STEMI from 18 hospitals in Malaysia from the year 2006 to 2013.

    PRIMARY OUTCOME MEASURES: In-hospital and 30 day post-discharge mortality.

    RESULTS: CS complicates 10.6% of all STEMIs in this study. They had unfavourable premorbid conditions and poor outcomes. The in-hospital mortality rate was 34.1% which translates into a 7.14 times mortality risk increment compared with STEMI without CS. Intravenous thrombolysis remained as the main urgent reperfusion modality. Percutaneous coronary interventions (PCI) in CS conferred a 40% risk reduction over non-invasive therapy but were only done in 33.6% of cases. Age over 65, diabetes mellitus, hypertension, chronic lung and kidney disease conferred higher risk of mortality.

    CONCLUSION: Mortality rates of CS complicating STEMI in Malaysia are high. In-hospital PCI confers a 40% mortality risk reduction but the rate of PCI among our patients with CS complicating STEMI is still low. Efforts are being made to increase access to invasive therapy for these patients.

    Matched MeSH terms: Logistic Models
  11. Mohd Nasir Mohd Taib, Chin, Yit Siew, Zalilah Mohd Shariff, Tung, Serene En Hui, Yim, Hip Seng, Zubaidah Jamil Osman
    Malays J Nutr, 2018;24(2):153-161.
    MyJurnal
    Introduction: Studies on metabolic syndrome (MetS) of children are important
    in view of rising prevalence of childhood obesity worldwide. This study compares
    the risks of insulin resistance, inflammation and metabolic syndrome between
    overweight/obese (OW/OB) and normal weight (NW) children in Kuala Lumpur.

    Methods: A cross-sectional study was conducted in 12 primary schools selected
    using multi-stage stratified random sampling. Height and weight were taken of a
    total of 1971 children aged 10-11 years. Based on BMI-for-age, 235 OW/OB children
    matched for age, sex and ethnicity with 226 NW children were selected for the study.
    Overnight fasting blood samples were collected to determine insulin, high-sensitivity
    C-reactive protein (hsCRP), glucose and lipid profiles. Logistic regression analysis
    was conducted to estimate associations between weight status and metabolic risk
    factors.

    Results: Prevalence of MetS among OW/OB children was 3.8% compared to
    0% in the NW. Prevalence of insulin resistance among OW/OB was 45.5% compared
    to 18.6% among NW children. High risk of inflammation was found in 28.1% of the
    OW/OB children compared to 12.4% in the NW. The odds ratio of having insulin
    resistance, inflammation and metabolic risk factors among OW/OB were 3.66 (95%
    CI: 2.40-5.59), 2.76 (95% CI: 1.69-4.50), 4.93 (95% CI: 3.42-7.10), respectively
    compared to the NW.

    Conclusion: The OW/OB children in this study showed higher
    risks of developing insulin resistance, inflammation and MetS compared to the NW
    counterparts. Further studies are suggested to better understand the relationships
    between insulin resistance, inflammation and MetS in children.
    Matched MeSH terms: Logistic Models
  12. Salahshourifar I, Halim AS, Sulaiman WA, Zilfalil BA
    J Dent Res, 2011 Mar;90(3):387-91.
    PMID: 21297019 DOI: 10.1177/0022034510391798
    Non-syndromic cleft lip, with or without cleft palate, is a heterogeneous, complex disease with a high incidence in the Asian population. Several association studies have been done on cleft candidate genes, but no reports have been published thus far on the Orofacial Cleft 1 (OFC1) genomic region in an Asian population. This study investigated the association between the OFC1 genomic region and non-syndromic cleft lip with or without cleft palate in 90 Malay father-mother-offspring trios. Results showed a preferential over-transmission of a 101-bp allele of marker D6S470 in the allele- and haplotype-based transmission disequilibrium test (TDT), as well as an excess of maternal transmission. However, no significant p-value was found for a maternal genotype effect in a log-linear model, although single and double doses of the 101-bp allele showed a slightly increased cleft risk (RR = 1.37, 95% CI, 0.527-3.4, p-value = 0.516). Carrying two copies of the 101-bp allele was significantly associated with an increased cleft risk (RR = 2.53, 95% CI, 1.06-6.12, p-value = 0.035). In conclusion, we report evidence of the contribution of the OFC1 genomic region to the etiology of clefts in a Malay population.
    Matched MeSH terms: Logistic Models
  13. Muhammad Saeed Qadir, Rampal, Lekhraj, Sherina Mohd Sidik, Salmiah Md Said, Zhian Salah Ramzi
    MyJurnal
    Obesity is a well-established risk factor for cardiovascular disease. The objective of
    the study was to determine the prevalence of obesity and factors associated among secondary school students aged between 13 to 17 years at Slemani City Centre, Iraq. Methodology: A cross sectional study design was used. The calculated sample size was 1656. Probability proportional to size sampling technique was used to select the sample. A validated pretested questionnaire was used to collect the data. Weight and height were also taken. Data were analyzed using SPSS version 21. Chi-square test was used to determine an association between two categorical variables. Independent t-test was used to compare two means. Multiple logistic regression was used to determine the predictors for obesity. Results: The response rate was 92.54% and the overall mean age of the 1588 respondents was 15.42 (95% CI = 15.35, 15.49) years. The prevalence of overweight and obesity was 20.6% and 11.3% respectively. Variables significantly associated with overweight and obesity (age, monthly family income, education level of parents, body part satisfaction and body size perception) were entered into the logistic regression model. Multiple logistic regression analysis showed that the predictors for overweight and obesity were age, monthly family income, body part dissatisfaction and body size perception. Conclusion: The prevalence of overweight and obesity is high (20.6% and 11.3% respectively). The predictors of obesity among secondary school students aged between 13 to 17 years old at Slemani City Centre Kurdistan Region, Iraq were age, family income and body image dissatisfaction.
    Matched MeSH terms: Logistic Models
  14. Guo X, Long J, Zeng C, Michailidou K, Ghoussaini M, Bolla MK, et al.
    Cancer Epidemiol Biomarkers Prev, 2015 Nov;24(11):1680-91.
    PMID: 26354892 DOI: 10.1158/1055-9965.EPI-15-0363
    BACKGROUND: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored.

    METHODS: We conducted a fine-mapping analysis in 55,540 breast cancer cases and 51,168 controls from the Breast Cancer Association Consortium.

    RESULTS: Conditional analyses identified two independent association signals among women of European ancestry, represented by rs9790517 [conditional P = 2.51 × 10(-4); OR, 1.04; 95% confidence interval (CI), 1.02-1.07] and rs77928427 (P = 1.86 × 10(-4); OR, 1.04; 95% CI, 1.02-1.07). Functional annotation using data from the Encyclopedia of DNA Elements (ENCODE) project revealed two putative functional variants, rs62331150 and rs73838678 in linkage disequilibrium (LD) with rs9790517 (r(2) ≥ 0.90) residing in the active promoter or enhancer, respectively, of the nearest gene, TET2. Both variants are located in DNase I hypersensitivity and transcription factor-binding sites. Using data from both The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), we showed that rs62331150 was associated with level of expression of TET2 in breast normal and tumor tissue.

    CONCLUSION: Our study identified two independent association signals at 4q24 in relation to breast cancer risk and suggested that observed association in this locus may be mediated through the regulation of TET2.

    IMPACT: Fine-mapping study with large sample size warranted for identification of independent loci for breast cancer risk.

    Matched MeSH terms: Logistic Models
  15. Wan Puteh SE, Selahuddeen AA, Aljunid SM, Zarihah Z
    MyJurnal
    Introduction: This study seeks to identify the socio-demographic and behavioral characteristics of smokers (aged 18 and above), thus develop a predicting model for tobacco abstinence receiving cessation services for tobacco dependence at the Smoking Cessation Clinics (SCC) in government Primary Health Centers in Malaysia. These predictors would improve the effectiveness and efficiency of these clinics.
    Methods : Smokers who sought smoking cessation therapy at the SCCs from 1st January 2004 to 31st
    December 2004 were chosen randomly from clinic’s registries, and 254 smokers were recruited from 8 clinics chosen through stratified random sampling. Data analyses were performed with SPSS 12.0. 17.3% of smokers attending SCCs were able to quit smoking for at least six months.
    Results : Factors significantly contributing to quitting success were elderly smokers (above 40 years old), smoked for more than 15 years, smoked less than ten sticks per day, had a previous history of quitting attempt, self referral to the clinic, high confidence level, attended SCC at least four times, each counseling session lasted for at least 30 minutes and were satisfied with the clinic service. In logistic regression model, smokers aged 40 years and above were 6.7 times more successful to quit, high level of confidence were nine times more successful, smoked more than ten sticks per day were ten times less successful, self referred smokers were ten times more successful and attending for at least 30 minutes counseling session were 12 times more successful.
    Conclusion : This study concludes that more concerted effort is needed to approach various groups of target population and SCCs clinic services need to be improved.
    Matched MeSH terms: Logistic Models
  16. Mojgan, N., Sharifah Zainiyah, S.Y., Munn Sann, L., Zalilah, M.S.
    MyJurnal
    The relationship between zinc and infant birth weight is still contradictory and up until today there is still no research on this issue done in Iran. This unmatched case control study to evaluate the association between plasma cord blood zinc and infant birth weight at the time of delivery was carried out in the labor ward, Fatemieh Hospital, Hamadan, Iran from the 6 th December 2009 to 18 October 2010. Plasma venous cord blood zinc was measured by AtomicAbsorption Spectro-photometry (AAS) and the weight of 134 Low Birth Weight (LBW) infants (cases) and 134 normal
    weight infants (control) were measured at the time of delivery. All mothers with history of chronic diseases, obstetric complications, anemia, twin pregnancy, smoking, using illicit drugs, and alcohol and infants with any obvious anomalies were excluded from this study. Data were analyzed using SPSS version 16. Logistic regression was used to assess the contribution of other risk factors on infant birth weight. The result showed there was significant relationship between infant birth weight and plasma cord blood zinc. The risk of having LBW infant is more than 12 times in mothers who have severe zinc deficiency (OR=12.234,CI 95% 1.122, 133.392, p-value= 0.040). Also in mothers
    who have mild to moderate zinc deficiency the risk of having LBW was more than one (OR=1.148, CI 95% 0.358, 3.900, p-value= 0.797). A significant relationship between maternal pre-pregnancy Body Mass Index (BMI) (p< 0.002), maternal weight gain during pregnancy (p< 0.021), previous LBW (p< 0.016), maternal age (p< 0.034) and parity (p< 0.004) with infant birth weight were also found. Logistic regression showed that zinc deficiency along with maternal pre-pregnancy BMI, maternal weight gain during pregnancy, previous LBW, maternal age and parity were predictors
    for infant birth weight.
    Matched MeSH terms: Logistic Models
  17. Rafizah AA, Aziah BD, Azwany YN, Imran MK, Rusli AM, Nazri SM, et al.
    Prev Med, 2013;57 Suppl:S11-3.
    PMID: 23295174 DOI: 10.1016/j.ypmed.2012.12.017
    Leptospirosis is a worldwide zoonotic disease. Risk factors for the disease may vary among countries.
    Matched MeSH terms: Logistic Models
  18. Subahir MN, Shah SA, Zainuddin ZM
    Asian Pac J Cancer Prev, 2009;10(6):1015-20.
    PMID: 20192575
    INTRODUCTION: In Malaysia, prostate cancer is ranked 6th among male cancer and expected to increase in the future. Several factors have shown to be related to prostate cancer such as sociodemographic, lifestyle, diet, occupational exposure, medical and health status. This is the first time a similar study was conducted in Malaysia to recognize the risk factors for prostate cancer patients who came for treatment at University Kebangsaan Malaysia Medical Centre (UKMMC).

    METHODS: Prostate cancer cases diagnosed between 2003 and 2008 which met with the inclusion criteria were included in the study. One hundred and twelfth (112) pairs of cases and controls matched by age and ethnicity were analysed. McNemar Odds Ratios (OR(M)) were calculated using McNemar Calculator software for univariate analysis while conditional logistic regression was used for multivariate analysis, both using SPSS version 12.0.

    RESULTS: Most of the prostate cancer patients (68.8%) that came for treatment in UKMMC were above 70 years old. The majority were Chinese (50.0%) followed by Malay (46.4%) and Indian (3.6%). Multivariate analysis showed cases were more likely to have a first-degree relative with a history of cancer (OR= 3.77, 95% CI= 1.19-11.85), to have been exposed to pesticides (OR= 5.57, 95% CI= 1.75-17.78) and consumed more meat (OR= 12.23, 95% CI= 3.89-39.01). Significantly reduced risks of prostate cancer were noted among those consuming more vegetables (OR= 0.12, 95% CI= 0.02-0.84), more tomatoes (OR= 0.35, 95% CI= 0.13-0.93) and those who had frequent sexual intercourse (OR= 0.44, 95% CI= 0.19-0.96).

    CONCLUSION: Some lifestyle and occupation factors are strong predictors of the occurrence of prostate cancer among patients in UKMMC. More importantly, with the identification of the potentially modifiable risk factors, proper public health intervention can be improved.

    Matched MeSH terms: Logistic Models
  19. Zainal NZ
    Asia Pac J Public Health, 2008;20(4):360-9.
    PMID: 19124330 DOI: 10.1177/1010539508322538
    A household survey was carried out in Peninsular Malaysia to determine the prevalence rate of depressive symptoms in middle-aged women and to explore its associated factors. Women aged 45 to 60 years were assessed on sociodemographic profiles, menopausal status, depressive symptoms, marital dissatisfaction, and coping strategies. A total of 3934 women participated, and the mean age was 51 years. The prevalence rate of depressive symptoms was 54.2%. Of the married women, 38.4% had poor to very severe problems in their marriage. Depressive symptoms were significantly associated with marital status (P < .001), ethnicity (P < .001), educational levels (P < .001), occupational status ( P < .001), domicile (P < .001), and menopausal status ( P < .05). Depressive symptoms were correlated with marital dissatisfaction scores. Women who consulted professionals, shared with relatives, kept problems to themselves, or consulted parents/siblings had higher mean scores on depressive symptoms compared with those who did not use these coping strategies.
    Matched MeSH terms: Logistic Models
  20. Chang SW, Abdul-Kareem S, Merican AF, Zain RB
    BMC Bioinformatics, 2013;14:170.
    PMID: 23725313 DOI: 10.1186/1471-2105-14-170
    Machine learning techniques are becoming useful as an alternative approach to conventional medical diagnosis or prognosis as they are good for handling noisy and incomplete data, and significant results can be attained despite a small sample size. Traditionally, clinicians make prognostic decisions based on clinicopathologic markers. However, it is not easy for the most skilful clinician to come out with an accurate prognosis by using these markers alone. Thus, there is a need to use genomic markers to improve the accuracy of prognosis. The main aim of this research is to apply a hybrid of feature selection and machine learning methods in oral cancer prognosis based on the parameters of the correlation of clinicopathologic and genomic markers.
    Matched MeSH terms: Logistic Models
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