METHODS: This was a quasi-experimental study conducted in two sub-urban communities in Seremban, Malaysia. A total of 268 participants with prediabetes aged between 18 to 65 years old were assigned to either the community-based lifestyle intervention (Co-HELP) (n = 122) or the usual care (n = 146) groups. The Co-HELP program was delivered in partnership with the existing community volunteers to incorporate diet, physical activity, and behaviour modification strategies. Participants in the Co-HELP group received twelve group-based sessions and two individual counselling to reinforce behavioural change. Participants in the usual care group received standard health education from primary health providers in the clinic setting. Primary outcomes were fasting blood glucose, 2-hour plasma glucose, and HbA1C. Secondary outcomes included weight, BMI, waist circumference, total cholesterol, triglyceride, LDL cholesterol, HDL cholesterol, systolic and diastolic blood pressure, physical activity, diet, and health-related quality of life (HRQOL).
RESULTS: An intention-to-treat analysis of between-groups at 12-month (mean difference, 95% CI) revealed that the Co-HELP participants' mean fasting plasma glucose reduced by -0.40 mmol/l (-0.51 to -0.28, p<0.001), 2-hour post glucose by -0.58 mmol/l (-0.91 to -0.24, p<0.001), HbA1C by -0.24% (-0.34 to -0.15, p<0.001), diastolic blood pressure by -2.63 mmHg (-3.79 to -1.48, p<0.01), and waist circumference by -2.44 cm (-4.75 to -0.12, p<0.05) whereas HDL cholesterol increased by 0.12 mmol/l (0.05 to 0.13, p<0.01), compared to the usual care group. Significant improvements were also found in HRQOL for both physical component (PCS) by 6.51 points (5.21 to 7.80, p<0.001) and mental component (MCS) by 7.79 points (6.44 to 9.14, p<0.001). Greater proportion of participants from the Co-HELP group met the clinical recommended target of 5% or more weight loss from the initial weight (24.6% vs 3.4%, p<0.001) and physical activity of >600 METS/min/wk (60.7% vs 32.2%, p<0.001) compared to the usual care group.
CONCLUSIONS: This study provides evidence that a culturally adapted diabetes prevention program can be implemented in the community setting, with reduction of several diabetes risk factors and improvement of HRQOL. Collaboration with existing community partners demonstrated a promising channel for the wide-scale dissemination of diabetes prevention at the community level. Further studies are required to determine whether similar outcomes could be achieved in communities with different socioeconomic backgrounds and geographical areas.
TRIAL REGISTRATION: IRCT201104106163N1.
Methods: A two-way repeated measures study was conducted on 14 healthy older adults and 14 older adults with balance impairment, who were recruited from the community in Chiang Rai, Thailand. Their walking performance was assessed using a four-metre walking test at their preferred gait speed and while walking under two further gait conditions, in randomised order: dual task walking and dual task walking with a simulated traffic light. Each participant was tested individually, with the testing taking between 15 and 20 minutes to perform, including two-minute rest periods between walking conditions. Two Kinect cameras recorded the spatio-temporal parameters using MFU gait analysis software. Each participant was tested for each condition twice. The mean parameters for each condition were analysed using a two-way repeated measures analysis of variance (ANOVA) with participant group and gait condition as factors.
Result: There was no significant between-group effect for walking speed, stride length and cadence. There were also no significant effects between gait condition and stride length or cadence. However, the effect between gait condition and walking speed was found to be significant [F(1.557, 40.485) = 4.568,P= 0.024, [Formula: see text]].
Conclusion: An audio-visual cue (simulated traffic light) was found to influence walking speed in both healthy older adults and in older adults with balance impairment. The results suggest that audio-visual cues could be incorporated into healthy lifestyle promotion in older adults with balance impairment.
Methods: A cross-sectional survey was conducted in a low-income housing area in Kuala Lumpur, Malaysia. Data were collected using a questionnaire via face-to-face interviews by trained enumerators in order to obtain details on sociodemographic characteristics and dietary practices.
Results: Descriptive statistics showed that 86.7% of the respondents in the low-income community consumed fruit and vegetables less than five times per day, 11.7% consumed carbonated and sweetened drinks more than twice per day and about 25% consumed fast food more than four times per month. In total, 65.2% (n=945) did not have healthy dietary practices. Binary logistic regression showed that age, education and ethnicity were significant predictors of unhealthy dietary practices among the low-income community. Those in the 30-59 years age group had higher odds (odds ratio 1.65, p=0.04) of practising an unhealthy diet as compared with those older than 60 years of age.
Conclusion: Unhealthy dietary practices were found to be common among the low-income group living in an urban area. Healthy lifestyle intervention should be highlighted so that it can be adopted in the low-income group.
Methods: A quasi-experimental study was conducted in Kuala Lumpur Hospital, Malaysia. Data were collected from November 2014 to January 2015 with a total of 58 respondents who met the inclusion criteria. The respondents received a 20-min one-on-one education programme regarding coronary heart disease, treatment and prevention, and healthy lifestyle. A questionnaire comprising demographic data was administered and the cardiovascular health index was measured before and after four weeks of the education programme. Data were analysed with descriptive and inferential statistics.
Results: There were statistically significant decreases in the score of anxiety, stress, depression, body mass index, and smoking status (P < 0.001) between pre-test and post-test.
Conclusion: The findings suggest that the one-on-one education programme could improve the cardiovascular health index of patients with MI. Furthermore, nurses need to develop and implement a standard education structure programme for patients with MI to improve health outcomes.
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: Data on 123 obese and overweight housewives in the intervention group from the MyBFF@home study were utilised. A validated Malaysian Malay version of Obesity Weight Loss Quality of Life (OWLQOL) questionnaire was administered at baseline and 6 months after intervention. Descriptive analysis, univariate analysis, paired t-test and multiple logistic regression were performed using SPSS Version 22.
RESULTS: Mean body mass index (BMI) was 31.5 kg/m2 (SD:4.13), with 51 participants classified as overweight (41.5%) while 72 were obese (58.5%). About 72% of the housewives experienced weight reduction (62% reduced weight less than 5% and 11% reduced weight more than 5% of their baseline weight). There was a significant improvement in HRQOL with a pre-intervention total mean score of 59.82 (SD: 26.60) and post-intervention of 66.13 (SD: 22.82), p-value
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: Intervention studies published in English between 2000 and August 2018 were retrieved from PubMed, Google Scholar, and Web of Science using various keywords.
RESULTS: This article is a review of 36 studies conducted in 13 different countries which included a total of 15,931 participants between 19 and 70 years of age. The effect of 26 genes and 64 SNPs on the reduction of body weight and metabolic risk factors in response to diet, exercise, and lifestyle interventions was reviewed.
CONCLUSION: Gene-lifestyle interaction studies on the same candidate gene in different populations have reported information which is challenging to interpret. Thus, it is difficult to arrive at a particular model for a strategy on weight management at this point in time. Most of the intervention studies focus on the effect of variants of a single candidate gene on weight loss. Further evidence from large-scale studies is necessary to assess the effect of multiple candidate genes to compute a gene score that could be used in a model intervention programme. Our review suggests that a healthy lifestyle with a balanced diet and regular physical activity will benefit individuals who carry the risk alleles of the obesity-related candidate genes. This message should be the mainstay of the recommendations and guidelines published by nutrition societies across the world.