AIMS: To compare cardiovascular risk factors in diabetic subjects of different ethnic groups, and between new and known diabetic subjects, in the Singapore National Health Survey '92.
METHODS: Disproportionate stratified sampling followed by systematic sampling were used in 3568 (total) respondents of whom 2743 were non-diabetics, 179 newly diagnosed diabetics and 150 known diabetics. Amongst the diabetics, there were 185 Chinese, 66 Malays and 78 Asian Indians. Diagnosis of diabetes mellitus (DM) was based on the 2 h glucose alone, after a 75 g oral glucose tolerance test. Blood pressure (BP), lipid profile, glucose, insulin and anthropometric indices were obtained from all subjects.
RESULTS: Subjects with diabetes (new and known) exhibited significantly higher triglyceride (TG), lower high density lipoprotein cholesterol (HDL-C) and low density lipoprotein (LDL)/apolipoprotein B (apo B) ratio (LDL size) compared with normoglycaemic subjects. They were more obese (generalised and central) and had higher systolic and diastolic BP. There was no difference in lipid risk factors between the two groups with diabetes although those with new diabetes were more obese whilst those with known diabetes had higher fasting glucose. Amongst subjects with diabetes, there were no significant differences between ethnic groups in TG, HDL-C, LDL/apo B ratio, or waist to hip ratio (WHR). Female Malays with diabetes had higher total cholesterol and were more obese whilst male Asian Indians with diabetes had higher fasting insulin.
CONCLUSION: Asian Indians had lower HDL-C and LDL/apo B ratio than Chinese or Malays amongst normoglycaemic subjects. However, these differences between ethnic groups were not seen in subjects with DM.
AIM: To evaluate the anthropometric measurements and dietary intake of the free-living elderly in a Chinese community.
METHOD: A survey was carried out on 48 male and female subjects aged 60 to 96 years using anthropometric, dietary intake and questionnaire techniques.
RESULTS: The study indicated female subjects to have more health problems, like pain at the joints (33%), hypertension (17%) and diabetes (27%) as compared to the male subjects. Dietary intake analysis showed the Chinese male subjects to have a higher energy intake (1,623 kcal) compared to the females (1,197 kcal) even though they did not fulfill the recommended dietary intake. The intake for energy, fats and carbohydrates, was found to be significantly different (p < 0.05) between both sexes. Anthropometric measurements indicated male elderly subjects to be significantly heavier (p < 0.05, 55.4 kg) and taller (161.8 cm) than female elderly subjects (49.5 kg; 146.2 cm respectively). About half of the elderly were normal in their BMI (male 55.6%; female 50%) and only 6.6% of the female subjects were obese. More male subjects were found to be underweight (33%) compared to female subjects (17%). Waist hip ratio was 0.92 for male and 0.87 for female.
CONCLUSION: Our study showed that female elderly subjects had more health problems compared to male elderly subjects. On the whole, the elderly did not fulfill the recommended amount for energy intake while the percentage for carbohydrates, fats and protein from the total calorie intake were not in accordance with the healthy diet guidelines. Anthropometrically, male subjects were heavier and taller than female subjects. Looking at body mass index, most of the male elderly subjects were in the normal to underweight range. With these results, more research is warranted to give a clearer picture of the Chinese elderly in the country.
Study site: Kampung Baru Tabuh Naning, Alor Gajah, Malacca
This study was primarily aimed to determine the failure rate of thrombolysis with streptokinase in acute myocardial infarction using electrocardiogram criteria and its association between various independent variables and outcome parameters.
A case-control study among Singapore Armed Forces' newly enlisted Servicemen was conducted to examine factors associated with male obesity. Four hundred and fifty-nine individuals from the Obese Basic Military Training program were selected as "cases" (average age: 19.5, body mass index: 30.4) and another 340 individuals were selected from the Normal Basic Military Training program as "controls" (average age: 19.3, body mass index: 21.4). Information such as family background, socioeconomic factors, and lifestyle practices were captured using facilitator-led questionnaires. Several variables were significantly associated with obesity after adjustments for possible confounders. These include childhood obesity (odds ratio [OR] = 2.06), less than an hour of exercise per day (OR = 2.97), Indian ethnicity (OR = 2.22), specific education backgrounds (especially that of Institute of Technical Education-OR = 2.75), father's employment at nonmanagerial/professional jobs (OR = 1.52), mother's employment at managerial/professional jobs (OR = 2.02), regular smoking (OR = 1.73) and alcohol consumption (OR = 2.26), 6 hours or less of sleep (OR = 3.73), obesity among family members (OR = 1.86 for mother; OR = 2.98 for siblings), parental history of diabetes mellitus (OR = 2.22 for father; OR = 2.70 for mother), and eating at inexpensive local food stalls (OR = 1.82). Our study found that a number of factors, ranging from personal and family backgrounds to lifestyle choices, were significantly associated with obesity among male youths.
BACKGROUND/PURPOSE: The purpose of this study is to characterize GBS isolates that were collected from three major hospitals in a densely populated area of Klang Valley for their demographics, serotypes, antibiotic susceptibility patterns and genetic background.
METHODS: Sixty GBS isolates from sterile and non-sterile samples in three major hospitals in the Klang Valley area of Malaysia were collected by convenience sampling from 2012 until March 2014. These isolates were studied for their antimicrobial susceptibilities, serotypes and genotypes. Patients' demographic data and clinical information were collected from lab request forms.
RESULTS: Diabetes mellitus was the only underlying condition (7 patients, 23.3%); the remaining samples were from patients who were immunocompromised due to medications. Fifty-nine (98%) isolates were sensitive to penicillin, while 78.3% and 88.3% of the isolates were sensitive to erythromycin and clindamycin, respectively. Serotype Ia was the most common serotype (n=27, 45%), followed by serotype III (n=10, 16.7%), V (n=9, 15%), VI (n=8, 13.3%), VIII (n=2, 3.3%) and VII (n=1, 1.7%). Random Amplified Polymorphic DNA (RAPD) typing showed a diverse genetic pedigree for all isolates, including four major groups that clustered according to geographical location.
CONCLUSION: This preliminary study determines the prevalence of limited common serotypes and antimicrobial resistance in distinct GBS isolates. Nonetheless, the RAPD clustering pattern suggests a close genetic lineage of the GBS isolates based on their isolation sites and location of hospitals.