METHOD: This systematic review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. A literature search was conducted across three scientific databases (Scopus, PubMed, and Web of Science), targeting original articles published in English between 2014 and 2024. The quality of the eligible articles was assessed using the Joanna Briggs Institute Critical Appraisal tools. The findings were synthesised through content analysis.
RESULTS: A total of 17 studies were included, identifying both the direct and indirect effects of illness perception variables as a whole or in their respective dimensions. The illness perception variable has demonstrated a significant positive and negative relationships with the physical activity domain.
LIMITATION: The majority of the included studies had a cross-sectional design. Therefore, the evidence quality was relatively low and exhibited a high risk of bias. Furthermore, there was language bias as only English-language publications were selected.
CONCLUSION: The findings of this review will serve as a guide for healthcare providers in enhancing physical activity adherence among patients with non-communicable diseases through an illness perception approach. This approach can be integrated into clinic consultations and intervention programmes. Future studies are warranted to evaluate the effectiveness of the illness perception approach in promoting physical activity adherence.
METHODS: All measures were taken at three time points: before intervention (Pre), after intervention (Post I) and 3 months after intervention (Post II). The intervention group (IG) participated in the EPaL programme for 16 weeks, whereas the comparison group (CG) received no intervention. Seventy-six adolescents (IG: n = 34; CG: n = 42) aged 13-14 years were included in the final analysis. Repeated measures analysis of covariance (ANCOVA) was used to assess the impact of the EPaL intervention programme on the measures between groups (IG and CG) at Post I and Post II.
RESULTS: The IG reported significantly higher knowledge scores at both Post I (adjusted mean difference = 3.34; 95% confidence interval [CI] = 0.99, 5.69; p = 0.006) and Post II (adjusted mean difference = 2.82; 95% CI = 0.86, 4.78; p = 0.005) compared with the CG. No significant differences between the IG and CG were found at either Post I or Post II in attitudes, practices, zBMI, WC and BF%. The proportion of participants who were overweight or obese was consistent from Pre to Post II in the IG (35.3%) and increased from 26.2% at Pre to 28.5% at Post II in the CG, but the difference was not statistically significant. The proportion of participants who had abdominal obesity in the IG decreased from 17.6% at Pre to 14.7% at Post II and increased from 16.7% at Pre to 21.4% at Post II in the CG, but the differences were not statistically significant.
CONCLUSION: Despite no significant reduction of body composition, this programme shows the positive effect on the adolescents' knowledge regarding healthy lifestyle. This study contributes to the evidence on the effectiveness of school-based health interventions in Malaysian adolescents.
TRIAL REGISTRATION: UMIN Clinical Trial Registration UMIN000024349. Registered 11 October 2016.
METHODS: This study adopted the instructional design framework of the Analysis, Design, Development, Implementation, Evaluation (ADDIE) model to guide the design and development of the functional training program. After development, the program was implemented and evaluated.
RESULTS: The results showed the program aroused students' interest and significantly improved students' physical fitness.
CONCLUSION: This study showed the usefulness of functional training in improving the physical fitness of primary school students. In addition, it provided a reference for how to use functional training in conjunction with the physical education syllabus.
METHODS: Participants were 997 university undergraduate students, with a mean age of 21 years (SD = 1.58). The majority of the participants (80.4%) were female. Health-promoting behaviour was assessed using the 52-item HPLP-II, which measures six components of health-promoting behaviour outcomes. HPLP-II was translated into the Malay language using standard forward and backward translation procedures. Participants then completed the HPLP-II Malay version (HPLP-II-M). Confirmatory factor analysis (CFA) was conducted using Mplus 8.0 software on the six domains of HPLP-II-M model.
RESULTS: The CFA result based on the hypothesised measurement model of six factors was aligned with the original HPLP-II, except for two low loading items which were subsequently removed from the CFA analysis. The final CFA measurement model with 50 items resulted in a good fit to the data based on RMSEA and SRMR fit indices (RMSEA = 0.046, 90%CI = 0.045, 0.048, SRMR = 0.062). The construct reliabilities for the HPLP-II-M subscales were acceptable, ranging from 0.737 to 0.878.
CONCLUSION: The HPLP-II-M with six components of health-promoting behaviour outcomes and 50 items was considered valid and reliable for the present Malaysian sample.
BACKGROUND: Due to the increasing incidence of coronary artery disease in recent years, interventions targeting coronary artery disease risk factors are urgent public priorities. The use of mobile technology in healthcare services and medical education is relatively new with promising future prospects.
DESIGN: This study used a quasiexperimental design that included pre- and posttest for intervention and control groups.
METHODS: The study was conducted from January-April 2017 with both intervention and control groups, in a teaching hospital in Klang Valley. Convenience sampling was used with inclusive criteria in choosing the 94 patients with coronary artery disease (intervention group: 47 patients; control group: 47 patients). The pretest was conducted as a baseline measurement for both groups before they were given standard care from a hospital. However, only the intervention group was given a daily information update via WhatsApp for 1 month. After 1 month, both groups were assessed with a posttest.
RESULTS: The split-plot ANOVA analysis indicates that there is a significant and positive effect of the intervention on coronary artery disease patients' knowledge on coronary artery disease risk factors [F(1, 92) = 168.15, p
METHODS: A total of 243 participants from MyBFF@home were included in this study. Fasting blood samples at baseline, 6- and 12-month were assessed for fasting plasma glucose (FPG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides. The effect of the intervention on cardiometabolic risk markers were investigated within and between study groups using t-test and general linear model (GLM) repeated measure ANOVA.
RESULTS: Results from repeated measures ANOVA showed intervention effect only in TC where significant reduction was found in the intervention group (- 0.26 mmol/L [95% CI: - 0.47 to - 0.06], p
METHODS: This was a quasi-experimental study conducted in low-cost flats in Kuala Lumpur, Malaysia. A total of 255 overweight and obesity individuals aged between 18 to 59 years old were assigned to either the lifestyle intervention group (n = 169) or the usual care group (n = 146) over a period of 6 months. Individuals in the intervention group received 6 individual lifestyle counselling comprised of physical activity, diet counselling and self-monitoring components aimed to achieve at least 5% weight loss while individuals in the usual care group obtained six sessions of health care seminars from health care providers. These individuals were then followed-up for another 6 months without any intervention as part of maintenance period.
RESULTS: An intention-to-treat analysis of between-groups at 6-month of intervention (β, 95% CI) revealed greater changes in weight among intervention individuals' (- 1.09 kg vs. -0.99; p 0.05). Individuals in the intervention group showed a significant increase for skeletal muscle mass (0.13 kg) than those individuals in the control group (- 0.37 kg), p = 0.033, throughout the study period.
CONCLUSION: This study provides evidence that an overweight and obesity prevention program can be implemented in a community setting, with some reduction of several anthropometric and body composition parameters.
METHODS: Patients with T2D and overweight/obesity (n = 230) were randomized either into the tDNA group which included a structured low-calorie meal plan using normal foods, incorporation of diabetes-specific meal replacements, and an exercise prescription or usual T2D care (UC) for 6 months. Patients in the tDNA group also received either counseling with motivational interviewing (tDNA-MI) or conventional counseling (tDNA-CC). The UC group received standard dietary and exercise advice using conventional counseling. Eating self-efficacy was assessed using a locally validated Weight Efficacy Lifestyle (WEL) questionnaire. All patients were followed up for additional 6 months' post-intervention.
RESULTS: There was a significant change in WEL scores with intervention over one-year [Group X Time effect: F = 51.4, df = (3.4, 318.7), p<0.001]. Compared to baseline, WEL scores improved in both the tDNA groups with significantly higher improvement in the tDNA-MI group compared to the tDNA-CC and UC groups at 6 months (tDNA-MI: 25.4±2.1 vs. tDNA-CC: 12.9±2.8 vs. UC: -6.9±1.9, p<0.001). At 12 months' follow-up, both the tDNA groups maintained improvement in the WEL scores, with significantly higher scores in the tDNA-MI group than tDNA-CC group, and the UC group had decreased WEL scores (tDNA-MI: 28.9±3.1 vs. tDNA-CC: 11.6±3.6 vs. UC: -13.2±2.1, p<0.001). Patients in the tDNA-MI group with greater weight loss and hemoglobin A1C reduction also had a higher eating self-efficacy, with a similar trend observed in comparative groups.
CONCLUSION: Eating self-efficacy improved in patients with T2D and overweight/obesity who maintained their weight loss and glycemic control following a structured lifestyle intervention based on the Malaysian customized tDNA and the improvement was further enhanced with motivational interviewing.
CLINICAL TRIAL: This randomized clinical trial was registered under National Medical Research Registry, Ministry of Health Malaysia with registration number: NMRR-14-1042-19455 and also under ClinicalTrials.gov with registration number: NCT03881540.