Metabolic syndrome was once reported only in adults but is now occurring more frequently in children. This study compared the incidence of metabolic syndrome and its components among normal and obese children using the 2007 International Diabetes Federation (IDF) pediatric definition for metabolic syndrome. Subjects comprised 78 school children aged 8-10 years, with 34 obese and 44 normal weight children. Body weight, height, and waist circumference (WC) were measured and body mass index was calculated. Clinical profiles measured included fasting blood glucose, triglyceride, HDL cholesterol, LDL cholesterol, total cholesterol, and blood pressure. Metabolic syndrome (MS) was defined using the 2007 IDF pediatric criteria. Obese subjects had a significantly (p<0.001) higher mean BMI (26.0 ± 3.6 kg/m2) compared to normal weight subjects (15.1 ± 0.8 kg/m2). Only one obese subject (1.3% of subjects) had metabolic syndrome based on the IDF definition, but all obese subjects had at least one component of metabolic syndrome. In comparison, no normal weight subjects had metabolic syndrome and only 9.1% of normal weight subjects had at least one component of metabolic syndrome. The most common component was central obesity, observed in 43.6% of subjects having WC equal to or greater than the 90th percentile. In concurrence with central obesity as the core feature of the IDF criteria, WC showed the strongest correlation with indicators of obesity such as BMI (r=0.938, p<0.001), fat mass (r=0.912, p<0.001) and fat-free mass (r=0.863, p<0.001). We conclude that the problem of metabolic syndrome is more prominent among obese children, although the incidence of MS as defined by the 2007 pediatric IDF criteria, is low in this population (1.3%).

This cross-sectional study investigates the association between energy intake and macronutrient composition of the diet with overweight and obesity among Malaysian women. One hundred and fifteen adult Malay women aged 20 to 59 years (mean age 37.2±7.6 years) were interviewed. Dietary intake was assessed using the food history method. Body weight status was assessed using weight, height, waist circumference and fat percentage measurements. When energy intake was assessed for accuracy, only 41% of the subjects (n=47) were normal energy reporters. Among the normal energy reporters, 55% were of normal weight whereas 32% and 13% were overweight and obese. Mean energy intake for normal weight, overweight and obese subjects was 1685±199 kcal/day, 1810±166 kcal/day and 2119±222 kcal/day, respectively. Energy intake increased with body mass index (BMI) category. Among the overweight and obese, energy intake was respectively higher by 125 kcal/day and 434 kcal/day as compared to their normal weight counterparts (p<0.001). There was also a significant, moderate and positive correlation between energy intake and BMI (r=0.635), waist circumference (r=0.545), and body fat percentage (r=0.534). When macronutrient composition of diet was analysed (% energy and g/1000 kcal), there was no significant difference in carbohydrate, protein or fat intake between the obese, overweight and normal weight subjects. There was also no significant correlation between macronutrient composition of the diet and body weight status. Based on these findings, we conclude that the subjects’ body weight status is likely to be influenced by energy intake rather than the macronutrient composition of the diet.

Physical inactivity is strongly associated with obesity and an increased risk of cardiovascular disease in children and adolescents. A cross-sectional study using multistage random sampling was conducted to determine associations between demographic characteristics, sedentary behaviours and physical activity among adolescents. Data were collected from 785 (414 males and 371 females) Form four students attending 15 schools in Petaling District, Selangor using an adapted self-administered questionnaire. Results showed that more females (50.1%) were physically inactive compared to males (39.6%) (Adjusted odds ratio (OR): 1.55, 95% confidence interval (CI): 1.12-2.15). Physically inactive adolescents were less likely to participate in intramural/house league sports (OR: 1.71, 95% CI: 1.19-2.44), school team sports (OR: 1.45, 95% CI: 1.03-2.04) and individual physical activities outside school (OR: 1.53, 95% CI: 1.11-2.12) compared to their physically active counterparts. Physically inactive adolescents were also less engaged in sedentary activities, such as television watching (OR: 0.69, 95% CI: 0.50-0.94), playing computer/video game (OR: 0.44, 95% CI: 0.28-0.72), talking on the telephone/mobile phone text messaging (OR: 0.47, 95% CI: 0.32-0.69) and reading (OR:0.45, 95% CI: 0.24-0.86) compared to those who were physically active. In this study, physical activity coexists with sedentary behaviour in adolescents. Sedentary activities may not necessarily displace physical activity among youth. In addition, these data suggest that promoting organised sports in school and outside the school among youths may be a potential strategy for increasing physical activity in this population.

The Malaysian Dietary Guidelines (MDG) with eight key messages were first published in 1999. An updated version consisting of 14 key messages is being developed. The objective of this study was to evaluate the understanding of five key messages of the updated MDG among adults aged 18-59 years in Kuala Lumpur. A total of 773 adults comprising 330 Malays, 364 Chinese and 79 Indians were included in the study. A self-administrated questionnaire was used to obtain demographic data and to determine the level of understanding of key words and messages to be included in the new MDG. The results showed that 63% of the subjects were not aware of the existence of the MDG published in 1999. Overall, the understanding of the five messages in the updated MDG was moderate with a mean score of 60.0 ± 16.5. Between 52% to 93% of the subjects did not understand such key words as serving size, sedentary habits, blended vegetable oil and shortenings. The mean scores of understanding were significantly higher (p< 0.05) among the Chinese subjects (61.3 + 17.8) than Malays (58.6 + 14.2) and Indians (60.0 + 18.9). The younger subjects (61.2 + 16.0) scored significantly (p< 0.05) higher than the older (58.7 + 17.0) counterparts. There was also a significant association between the level of understanding of MDG with education level (p<0.001) and occupational status (p<0.001), respectively. This study suggests that some key words and messages in the updated MDG should be simplified to ensure that they are understood by Malaysians.

Sexual dysfunction is highly prevalent in gynaecological cancer patients. Most of the time, sexual dysfunction in gynaecological cancer is underdiagnosed as there is overlapping of symptoms with other psychological morbidities, interplaying of multiple risks, patients’ reluctance to complain or incompetence of health care provider to assess. Determining the risk factors of sexual dysfunction in cancer patients enables us to pay more attention to those who are vulnerable and to device strategies for early detection, prevention and treatment of sexual dysfunction in them. The main aim of the study was to determine the prevalence of sexual dysfunction and its risk factors in gynaecological cancer patients in Hospital Sultanah Bahiyah, Alor Star, Malaysia. Sexual function of eighty-three gynaecological cancer patients who were married were assessed with self-rated MVFSFI (Malay version Female Sexual Function Index). Self-rated WHOQOL-BREF (World Health Organization- Quality of Life- 26) which assessed the domains of quality of life was used while MINI (Mini International Neuropsychiatry Interview) was used for diagnosis of major depressive disorder. The prevalence of sexual dysfunction among the married gynaecological cancer patients was 65% (54/83). Sexual dysfunction was significantly associated with low education level (OR 3.055, CI 1.009-9.250), shorter duration of cancer(OR 0.966, CI 0.966- 0.998), ongoing chemotherapy (OR 3.045, CI 1.149-8.067),pain perception (OR 3.230, CI 1.257-8.303), absence of sexual intercourse for more than one month (OR 1.862) and three domains of quality of life such as physical health, psychological health and social relationship (OR 0.942, CI 0.908-0.978; OR 0.955, CI 0.916-0.995; OR 0.933, CI 0.894-0.973, respectively). However, sexual dysfunction was not associated with major depressive disorder (χ2 ² = 1.224, p = 0.268). The prevalence of sexual dysfunction in gynaecological cancer patients was comparable to other studies of similar population. Since, the risk factors of sexual dysfunction in gynaecological cancer patients are multidimensional, the process of assessment and management need to be holistic and patient-oriented.
Sexual Dysfunction, Physiological