This study examines the association between maternal factors and low birth weight among newborns at a tertiary hospital in Malaysia. This was a cross-sectional study where mothers were followed through from first booking till delivery. There were 666 mothers who delivered from May 2007 to March 2008. Infants’ birth weight were compared with maternal age, pre-pregnancy BMI, fathers BMI, parity, ethnicity, per capita monthly income, and maternal blood pressure during pregnancy. A multiple logistic regressions was used to determine the relationship of maternal factors and low birth weight, while the ROC curve was constructed to assess the sensitivity and specificity of the predictive model. Among the significant risk factors of low birth weight were older age (35 years and above), low pre-pregnancy BMI (<20 kg/m2), parity of 4 and above, Indian origin, economically under privileged, and low and high blood pressure. Blood pressure during pregnancy was an important risk factor for LBW, by using this parameter alone the risk of LBW could be predicted with a sensitivity rate of 70% and a specificity rate of 70%. The sensitivity and specificity was further improved to 80% and 75% percent respectively when other factors like maternal factors such as maternal age, pre-pregnancy BMI, ethnicity, and per capita monthly income were included in the analysis.

Background: Database on hospital records like discharge data, birth and death certificates are widely used for epidemiological and research studies. However there are a very few validation studies on these data. The aim of this study was to validate and assess the accuracy of the ICD 10 database on congenital anomalies in the state of Penang. This study was carried out for three years, from 2002 to 2004. Methods: The list of cases coded under the general coding “Q” was extracted and approximately 30% of cases were randomly selected from the list. Medical records for the selected cases were checked and discrepancies for the diagnoses between the medical records and the ICD 10 data base were recorded for three years. Verification was done for basic demographic variables and the coding of the diseases. Discrepancies, sensitivity and specificity were calculated. Results: The ICD 10 database for congenital anomalies are classified into two types: Type 1 and Type 2. Discrepancies on demographic information were found among the age of patients (babies with congenital anomalies). In Type 1, there was a discrepancy of about 0.02 % to 0.05% probability that a congenital anomaly case can be recorded as non congenital anomaly in the ICD 10. In Type 2 there was a discrepancy that a non-congenital anomaly was classified as congenital anomaly and this ranged from 26.7% to 50.0%. The sensitivity ranged from 96.85% to 97.98%, thus it can be concluded the ICD 10 database is highly sensitive while the specificity ranged from 50.00% to 78.57 %. In other words the ICD 10 is not accurate when classifying the non- congenital anomaly cases. A fair percentage of non-congenital anomaly cases were classified as CA in the ICD 10 database. Conclusion: Even though hospital databases are used as a baseline data for a number of research and epidemiological studies it cannot be used at face value. Validation of these data is necessary before any conclusions can be drawn or intervention measures are undertaken.

Background: Medical schools have long been concerned with establishing a suitable process of admission. The criteria used to select students have traditionally focussed on high academic achievement. Method: The International Medical University (IMU) accepts students from a wide range of pre-university entry qualifications for admission into the medical programme. The criteria for the various pre-university entry qualifications used by the IMU were agreed and accepted by the IMU Academic Council (AC), which consist of deans of the IMU’s partner medical schools (PMS). In this study, the various entry qualifications were first grouped into five categories based on the educational pedagogy. Then, this was aligned with the entry qualification data of all students who had been admitted into the IMU medical programme for the period of December 1993 to March 2000. During this period 1,281 students were enrolled into the IMU medical programme. The relationship between the five groups of pre-university entry qualifications and the students’ academic achievement in three end-ofsemester (EOS) examinations namely EOS 1, EOS 3, and EOS 5 were analysed. Results: Students with better grades in their preuniversity examinations showed better performance in their EOS examinations, regardless of the subjects that they took at the pre-university level. Cluster analysis revealed that students who came in with certain preuniversity qualifications generally performed poorly than the more conventional qualifications. However, after their first year in medical school, there were no significant differences in the clustering of the students. Conclusion: Students with better grades in their preuniversity examinations showed better performance in their EOS examinations, regardless of the science subjects that they took at the pre-university level.

Task-based learning (TBL) has been accepted as an effective tool in teaching and learning activities in most medical schools. Many studies have looked at competencies and learning outcomes essential for undergraduates. Among the essential competencies are interpersonal skills and the ability to engage in a group discussion which this study has focused on. The evidence supporting higher interpersonal skills is however limited because many relevant competencies are hard to measure and require long observational periods. Objective To determine students’ self-perceived value of TBL in enhancing their interpersonal skills during the clinical phase. Material and Methods All students’ (semesters 6-10) in the clinical school of International Medical University (IMU) were invited to participate in this cross-sectional study done in December 2007 utilising a self-administered questionnaire with a 5-point Likert scale. It assessed the students’ perception on TBL sessions conducted during their clinical attachments in the various disciplines. Mean-scores, standard deviations, and confidence interval were used. Results Response rate was 62%. The results indicated that students were favorable in their opinion on TBL as a suitable forum for active communication and participation in group discussion. The results also show that both male and female students’ have similar perception. As for the comparison according to semesters, this showed that students’ maturity does not influence their perception as well. Conclusion In conclusion, the study has shown positive students’ perception on the effect of TBL on acquired skills such as interpersonal communication. Our findings are consistent with many earlier studies which show students’ perception of the method of learning as important factor in the enhancement of their interpersonal skills which is fundamental to clinical practice. Further research is necessary; long-term and larger scale observational studies would undoubtedly be optimal to minimise response bias.

Introduction: Diet and lifestyle modification is commonly used in constipation management. As there is a dearth of studies on this topic in Malaysia, we aim to elucidate the relations between stool patterns, dietary intake and physical activity levels among adults with functional constipation. Methods: From a database collected via surveys at public events, a convenience sample of 100 adults diagnosed with Rome II-defined functional constipation was enrolled in this cross-sectional study. After severity assessment using the Chinese Constipation Questionnaire, subjects completed 2-week bowel movement diaries to determine stool frequency, consistency and output. Dietary intake and physical activity levels were assessed twice using three-day 24-hour diet recalls and International Physical Activity Questionnaire, respectively. Ninety subjects who completed the study were included in the analysis. Results: Mean weekly stool frequency was 3.9±1.9 times, consistency score was 2.6±0.6 (range 1.0-4.0), output was 11.0±6.3 balls (40 mm diameter) and severity score was 10.3±3.3 (range 5.0-22.0). Mean daily dietary intakes were: energy 1,719±427kcal, dietary fibre 15.0±4.9g and fluid 2.5±0.8L. The majority of subjects were physically inactive. Stool frequency and output were positively associated with dietary fibre (rs=0.278, P<0.01; rs=0.226, P<0.05) and fluid intake (rs=0.257, P<0.05; OR=3.571, 95% CI [1.202-10.609]). Constipation severity was associated with higher physical activity levels (OR=2.467, 95% CI [1.054-5.777]). Conclusion: Insufficient intake of dietary fibre and fluid are associated with aggravated constipation symptoms. Further studies are necessary to confirm usefulness of dietary intervention in treatment of constipation as dietary factors alone may not influence overall severity and stool consistency, an integral element of constipation.