Research suggests that physical activity plays a role to improve health related- quality of life (QoL), however studies examining the association between physical activity and HRQOL are limited in the paediatric literature. The aim of this study is to explore the relationship between physical activity and HRQoL among Malaysian children. Participants (n = 78 normal weight; 78 obese children) aged 9–11 years completed a validated quality of life (QoL) inventory and wore an accelerometer to objectively measure physical activity for 1 week. Psychosocial Health domain and Total QoL (all p < 0.05) were significantly lower for obese compared to normal weight children. Children who spent more time in sedentary behaviour had significantly lower QoL on Psychosocial Health domain and Total QoL except for the Physical Health domain. There was also a strong positive correlation between QoL and moderate-vigorous physical activity (MVPA) indicating that children who are physically active have a better quality of life. Physical activity promotion should be emphasised to improve QoL in children.

The epidemic of obesity in developed countries is commonly associated with poor dietary habit and sedentary lifestyle. However, other determinants, including education background and family income, may contribute towards the problem especially in developing countries. This study aimed to determine the influence of socioeconomic status (SES) on obesity among 12-year-old school adolescents in Terengganu, Malaysia. Body weight and height were measured and BMI was categorised based on WHO z-score cut-off points. Information was obtained from self-reported questionnaire on parents’ education background, family income and occupation. A total of 3,798 school adolescents aged 12 years (44% boys and 56% girls) were recruited. There was no significant difference in BMI status between boys and girls, or between rural and urban participants. There were significant differences between BMI categories and gender, household income and SES level within rural areas. In the urban areas, significant differences were found between BMI categories and gender, parents’ occupational and educational level, household income and size, and SES level. A logistic regression model found several SES factors to be predictors of obesity in this population, namely, gender, household size, father’s occupation level, household income level and SES level. Each component of SES has been significantly associated with the BMI category of school adolescents, particularly in the urban areas. This suggests the requirement of multifaceted approaches, including the role of family, society and authorities, in the effort to curtail adolescent obesity.

Objective measurement of physical activity (PA) and sedentary behavior (SB) associated with metabolic syndrome (MetS) has gained more attention among researchers in recent years. Although almost similar trends of results have been reported worldwide, they were not always statistically significant. This systematic review summarizes the evidence of observational studies reporting the associations between objectively measured PA, SB, and MetS in adults. Registration in PROSPERO was made (CRD42017078929). Literature search was conducted in the PubMed database for observational studies associating objectively measured PA and SB with MetS among adults. Secondary manual search was also conducted to find more related studies. A total of 44 studies were included in this systematic review. The quality score of studies obtained using National Institutes of Health Quality Assessment Tool ranged between 4 and 11. For total PA, most studies showed negative association with MetS. Similar association with MetS was reported in most studies assessing moderate-to-vigorous PA (MVPA) (total, bouts, sporadic), vigorous-intensity PA (VPA) (total, bouts), moderate-intensity PA (MPA) (total, bouts), and light-intensity PA (LIPA) bouts. However, more studies assessing LIPA total and LIPA sporadic found no significant association with MetS, with only a few studies reporting negative association. Meanwhile, all studies assessing step counts reported negative association with MetS. In contrast, MetS was positively associated in all studies investigating physical inactivity. MetS was also positively associated in most studies reporting sedentary (SED) time and bouts, while SED breaks showed no significant association with MetS. Further studies are required to ascertain the interaction and independent contribution of objectively measured PA and SB to the overall risk of MetS.

Obesity-mediated inflammation represents a key connection between the intake of foods with high inflammatory potential and colorectal cancer (CRC) risk. We aimed to explore the association between energy-adjusted dietary inflammatory index (E-DII) in relation to CRC risk in both obese and non-obese subjects. This study included 99 histopathologically confirmed CRC cases, 73 colonic polyps cases, and 141 healthy controls from tertiary medical centres in both urban and suburban areas in Peninsular Malaysia. The subjects were categorised into body mass index (BMI) < 25 kg/m² and BMI ≥ 25 kg/m² groups. E-DII scores were computed based on dietary intake assessed using a validated food frequency questionnaire (FFQ). Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs), adjusted for potential cofounders. The mean dietary energy intake and mean BMI values of the subjects tended to increase as the E-DII scores increased (p for trend < 0.001). E-DII was significantly related to CRC risk only in obese subjects (OR = 1.45; 95% CI = 1.30–1.77; p < 0.001 for trend). Stratified analyses of risk factors showed significant associations between E-DII and CRC risk by age group (p for interaction = 0.030), smoking status (p for interaction = 0.043), and anthropometric indices for both males and females (p for interaction < 0.001) in the most pro-inflammatory E-DII quartile vs. the lowest E-DII quartile. Overall, pro-inflammatory diets were associated with an increased incidence of CRC in the Malaysian population, particularly in obese subjects.

The aim of the study was to evaluate the effectiveness of implementing multimodal nutrition education intervention (NEI) to improve dietary intake among university students. The design of study used was cluster randomised controlled design at four public universities in East Coast of Malaysia. A total of 417 university students participated in the study. They were randomly selected and assigned into two arms, that is, intervention group (IG) or control group (CG) according to their cluster. The IG received 10-week multimodal intervention using three modes (conventional lecture, brochures, and text messages) while CG did not receive any intervention. Dietary intake was assessed before and after intervention and outcomes reported as nutrient intakes as well as average daily servings of food intake. Analysis of covariance (ANCOVA) and adjusted effect size were used to determine difference in dietary changes between groups and time. Results showed that, compared to CG, participants in IG significantly improved their dietary intake by increasing their energy intake, carbohydrate, calcium, vitamin C and thiamine, fruits and 100% fruit juice, fish, egg, milk, and dairy products while at the same time significantly decreased their processed food intake. In conclusion, multimodal NEI focusing on healthy eating promotion is an effective approach to improve dietary intakes among university students.

Background: Breast cancer patients often show an interest in making dietary changes after diagnosis of breast cancer to improve their health condition and prevent cancer recurrence. Objective: The objective of the study was to determine changes in dietary intake 2 years after diagnosis among breast cancer patients. Methods: One hundred sixteen subjects were asked to complete a semiquantitative food frequency questionnaire, diet recalls, and dietary changes questionnaire to assess dietary intake before and after diagnosis. The information on sociodemographic background, cancer treatment history, and anthropometric indices was also collected. Results: Seventy-two subjects considered diet as a contributing factor to breast cancer, and 67 subjects changed their dietary habits after breast cancer diagnosis. The reasons for changes in diet were physician and dietitian advice and desire to cure cancer. The sources of information were derived from their physician, mass media, and family members. Total energy, protein, total fat, fatty acids, and vitamin E intake were significantly decreased after diagnosis. Meanwhile, the intake of beta-carotene and vitamin C increased significantly after diagnosis. The changes included reduction in red meat, seafood, noodles, and poultry intake. An increased consumption of fruits, vegetables, fish, low-fat milk, and soy products was observed. The subjects tended to lower high-fat foods intake and started to eat more fruits and vegetables. Conclusion: Breast cancer patients had changed to a healthier diet after breast cancer diagnosis, although the changes made were small. Implications for Practice: This will be helpful to dietitians in providing a better understanding of good eating habits that will maintain patients' health after breast cancer diagnosis.