Introduction: This randomised school-based controlled study aimed to evaluate the baseline results of nutrition knowledge, attitude, and practice (NKAP), health-related quality of life (HRQoL), and parents’ report of parenting skills (PRPS) among overweight and obese children.
Methods: This study was performed on three intervention groups and one control group. It was conducted among Year Five students from primary schools who had overweight or obese status and were generally healthy without any chronic diseases. The children completed NKAP and child self-report of Pediatric Quality of Life (PedsQoL) questionnaires, while parents completed parent proxy report of PedsQoL and PRPS questionnaires. Descriptive statistics and parametric test in SPSS were utilised.
Results: Out of 139 participants involved in the baseline study, 18.7% and 81.3% were overweight and obese respectively. This study revealed a significantly higher knowledge score among boys (p = 0.016) and among those who lived in urban areas (p = 0.019). The children’s selfreport PedsQoL recorded highest score for Social Functioning domain and lowest score for Emotional Functioning domain. A contradictory finding was obtained from the parent proxy report, where the Physical Functioning domain scored the lowest and the Emotional Functioning domain had the highest score. Notably, some of the findings from PRPS questionnaires completed by their parents were unfavourable.
Conclusions: This study provided prospective evidence of the current status of NKAP, HRQoL among overweight and obese children as well as findings from PRPS among their parents.
Objective: The purpose of this study was to evaluate the effectiveness of nutrition education intervention among university students in terms of social, psychological factors and nutrition-related Quality of Life (NQoL) outcomes after receiving a 10-week nutrition education. Longitudinal and randomised study design was adopted for the study. Methods: A total of 417 respondents from four public universities in Terengganu were randomly assigned to either intervention group (IG = 205) or control group (CG = 212). The IG received nutrition education through three tools; 1) conventional lecture, 2) brochures and 3) text messages via short messaging system (SMS) while the CG not received any intervention. Students completed the Malay version of NQoL (6 domains; 49 items; Likert-type responses=1-5) and SF-36 (8 domains; 36 items) at pre-intervention and post-intervention. Data analysis was carried out by using SPSS 16.0 utilising descriptive and parametric statistics. Results: Ninety-one percent of participants (IG = 178; CG = 202) completed the study (age = 19.1±1.1 years; female = 87.6%; Malay = 98.2%). After controlling for possible confounders (eg. weight, waist, hip circumferences and pre-intervention scores for each domain), IG possessed relatively higher NQoL score in Food Impact (p = 0.001), Social / Interpersonal (p = 0.008), Physical Functioning (p = 0.011) and Overall NQoL (p = 0.001). However, Psychological Factors did not show any significant difference for both groups. Conclusion: Although the intervention did not generate significant impact in the psychological component over a period of 10 weeks, significant positive impacts in Social/Interpersonal aspects and NQoL were clearly shown. ASEAN Journal of Psychiatry, Vol. 15 (1): January - June 2014: 39-53.
The purpose of this review is to provide a summary of studies on the effectiveness nutrition education interventions used by college students. Electronic databases such as Medline, Science Direct, CINAHL (EBSCOhost), and Google Scholar were explored for articles that involved nutrition education interventions for college students and that were published between 1990 and 2011. Fourteen studies, which involved a total of 1668 college students as respondents, were identified and met the inclusion criteria. The results showed that there were 3 major forms of nutrition education interventions: web-based education, lectures, and supplement provisions. Dietary intake measures were used in almost all studies and were primarily collected with food records, recall, food frequency questionnaires, and dietary habit questionnaires. The outcome measures varied among the studies, with indicators such as consumption of food, nutrition knowledge, dietary habits, physical activity, and quality of life. Methodological issues were also identified. In general, college students experienced significant changes in their dietary habits after the interventions were employed. The highlighted methodological issues should be considered to improve the quality of similar research in future.
BACKGROUND: University students generally tend to engage in problematic eating behaviours, including unhealthy dieting, skipping meals, and high intake of fast food, although they are aware of the negative consequences. Eating behaviours have been shown to be interestingly related to quality of life (QoL). Our study aimed to 1) assess general nutrition quality of life (NQoL) status and 2) compare NQoL status based on gender, financial resources, study courses, year of study, and body mass index (BMI) profiles.
METHODS: This study was conducted among undergraduates of health sciences in a local public university in Terengganu. Students completed the Malay version of NQoL (6 domains; 50 items; Likert-type responses 1-5). Data analysis was carried out by using SPSS 16.0, utilising descriptive and parametric statistics.
RESULTS: A total of 241 students were enrolled [age = 19.7 (0.1) years; female (83.0%); Malay (96.7%)]. Social/Interpersonal Factors [3.84 (0.43)] emerged as the best component, while Food Impact [3.10 (0.40)] was the worst. Across all variables, only gender and study courses showed significantly different NQoL. Females scored better than males in Self-Efficacy (confidence in food selection ability) (P < 0.05). Nursing students also experienced significantly greater NQoL (mean = 3.58, 95% CI = 3.47, 3.68) than radiography students in Self-Efficacy (p < 0.05). Medical laboratory technology students had a significantly more favourable NQoL rating (mean = 3.62, 95% CI = 3.47, 3.76) than nursing students in Self-Image (p < 0.05). Study courses significantly influenced the NQoL status of students with Good NQoL, while those with Poor NQoL were mostly influenced by gender and financial resources (p < 0.05).
CONCLUSION: These outcomes indicate that specific demographic characteristics seemed to make a difference in the NQoL of undergraduate students.
KEYWORDS: health sciences; nutrition; quality of life; undergraduates
Study site: public university, Terengganu, Malaysia
Scales & Questionnaires: Nutrition Quality of Life instrument (NQoL)