METHODS: This is a follow-up study among 84 obese housewives without co-morbidities aged 18 to 59 years old who previously participated as a control group (delayed intervention, G1) in the My Body is Fit and Fabulous at Home (MyBFF@home) Phase II. Baseline data were obtained from 12 month data collection for this group. A new group of 42 obese housewives with co-morbidities (G2) were also recruited. Both groups received a 6 month intervention (July-December 2015) consisting of dietary counselling, physical activity (PA) and self-monitoring tools (PA diary, food diary and pedometer). Study parameters included weight, height, waist circumference, blood pressure and body compositions. Body compositions were measured using a bioelectrical impedance analysis device, Inbody 720. Descriptive and repeated measures ANOVA analyses were performed using SPSS 21.
RESULTS: There were reductions in mean body fat, fat mass and visceral fat area, particularly among obese women without co-morbidities. There were also decreases fat and skeletal muscle from baseline to month six with mean difference - 0.12 (95% CI: -0.38, 0.14) and visceral fat area from month three to month six with mean difference - 9.22 (- 17.87, - 0.56) for G1. G2 showed a decreasing pattern of skeletal muscle from baseline to month six with mean difference - 0.01(95% CI: -0.38, 0.37). There was a significant difference for group effect of visceral fat area (p
METHODS: Data for 424 respondents in this study were drawn from MyCoSS, a nationwide cross- sectional study conducted among Malaysians who were 18 years and above. Respondents were recruited using stratified cluster sampling, covering urban and rural areas in each state in Malaysia. Data collection was undertaken from October 2017 until March 2018. A single urine sample was collected over 24 h for quantification of potassium excreted. Information on socio-demography and medical history of the respondents were collected by interviewer-administered questionnaires. Anthropometric measurements were measured using validated equipment. BMI was estimated using measured body weight and height. Digital blood pressure monitor (Omron HBP-1300) was used to measure blood pressure. Descriptive statistics, analysis of variance (ANOVA), and multivariable linear regression were used to analyze the data in SPSS Version 21.
RESULTS: Mean 24-h urinary potassium excretion for the 424 respondents was 37 mmol (95% CI 36, 38). Gender and ethnicity showed statistically significant associations with 24-h urinary potassium excretion. However, potassium excretion was not significantly associated with blood pressure in this study.
CONCLUSION: Potassium intake is very low among the adults in Malaysia. Therefore, further education and promotional campaigns regarding daily consumption of potassium-rich diet and its benefits to health need to be tailored for the Malaysian adult population.
METHODS: This was a nationwide cross-sectional study using two-stage stratified random sampling. In total, 3977 older adults aged ≥60 years were involved in this study. Socio-demography characteristics were obtained using self-administered questionnaire. AO was measured using waist circumference and classified according to the cut-off values of ≥90 cm for men and ≥80 cm for women based on the WHO recommendation. Descriptive and multiple logistic regression analysis using a complex sample design were performed for data analysis.
RESULTS: Our findings showed that 2371 (67.3%) older adults had AO. Older adults who were from urban areas (69.7%), of women (78.4%), married (66.7%), with tertiary education (73.6%) and unemployed (70.9%) had the highest prevalence of AO. Those from urban areas (adjusted odds ratio [aOR] = 1.29), women (aOR = 3.12), unemployed (aOR = 1.14), diagnosed with hypertension (aOR = 1.56) and diabetes mellitus (aOR = 2.08) were also significantly associated with a higher risk of AO.
CONCLUSIONS: This study identified several risk factors that are associated with AO among older adults in Malaysia. Such information is important and needed to improve the healthcare system systematically, enable nutrition screening and appropriate intervention to combat the growing AO in Malaysia. Geriatr Gerontol Int 2020; 20: 68-72.
METHODS: Housewives aged 18 to 59 years old from the MyBFF@home study were selected and pain was measured using the Visual Analogue Scale (VAS) questionnaire. VAS measured the pain intensity at different parts of the body (score of 0-10). Data were collected at base line, 3 months and 6 months among the housewives in both the control and intervention group. Pain scores and other variables (age, Body Mass Index (BMI) and waist circumference) were analysed using SPSS version 22.
RESULTS: A total of 328 housewives completed the VAS questionnaires at baseline, while 185 (56.4%) of housewives completed the VAS at 3 months and 6 months. A decreasing trend of mean pain score in both groups after 6 months was observed. However, the intervention group showed a consistent decreasing trend of pain score mainly for back pain. In the control group, there was a slight increment of score in back pain from baseline towards the 6 months period. Older housewives in both groups (aged 50 years and above) had a higher mean score of leg pain (2.86, SD: 2.82) compared to the other age group. Higher BMI was significantly associated with pain score in both groups.
CONCLUSION: There were some changes in the level of body pain among the housewives before and after the intervention. Older obese women had a higher pain score compared to younger obese women. Pain was associated with BMI and change in BMI appears to be beneficial in reducing body pain among overweight and obese individuals.
METHODS: The cross-sectional survey was conducted among adults aged 18 years and above in Malaysia. A multi-stage stratified sampling was used to represent nationally. Twenty-four-hour urine was collected from a total of 900 respondents. Indirect ion-selective electrode (ISE) method was used to measure sodium intake. Descriptive and logistic regression analysis was applied to determine factors associated with high sodium intake based on 24-h urinary sodium excretion.
RESULTS: A total of 798 respondents (76% response rate) completed the 24-h urine collection process. Logistic regression revealed that high sodium intake associated with obese [aOR 2.611 (95% CI 1.519, 4.488)], male [aOR 2.436 (95% CI 1.473, 4.030)], having a waist circumference of > 90cm for adult males [aOR 2.260 ( 95% CI 1.020, 5.009) and >80cm for adult females [aOR 1.210 (95% CI 0.556, 2.631)], being a young adult [aOR 1.977 (95% CI 1.094, 3.574)], and living in urban areas [aOR 1.701 (95% CI 1.094, 2.645)].
CONCLUSION: Adults who are obese, have a large waist circumference, of male gender, living in urban areas, and belonging to the young adult age group were found to have higher sodium intake than other demographic groups. Hence, reduction of salt consumption among these high-risk groups should be emphasised to reduce the risk of cardiovascular diseases.
METHODS: Data obtained from the Malaysian Community Salt Survey (MyCoSS) was used partially for this study. The survey used a cross-sectional two-stage sampling design to select a nationally representative sample of Malaysian adults aged 18 years and above living in non-institutional living quarters (LQ). Face-to-face interviews were done by trained research assistants (RA) to obtain information on sociodemography, medical report, as well as knowledge, attitude and behaviour of the respondents towards salt intake and blood pressure.
RESULTS: Majority of the respondents have been diagnosed with hypertension (61.4%) as well as knowledge of the effects of high salt intake on blood pressure (58.8%). More than half of the respondents (53.3%) said they controlled their salt intake on a regular basis. Those who knew that a high salt diet could contribute to a serious health problem (OR=0.23) as well as those who controlled their salt intake (OR=0.44) were significantly less likely to have hypertension.
CONCLUSION: Awareness of the effects of sodium on human health, as well as the behaviour of controlling salt intake, is essential towards lowering the prevalence of hypertension among Malaysians.
AIMS: (1) to determine the degrees of shame and stigma towards cancer and psychological distress among cancer patients in Malaysia and (2) to examine the clinical and psychosocial predictors of psychological distress.
METHODS: This cross-sectional study recruited a total of 217 cancer patients. The participants were administered the sociodemographic and clinical characteristics questionnaires, the Malay version of the Shame and Stigma Scale (SSS-M) to assess for the degree of cancer shame and stigma, and the Malay version of the Distress Thermometer and Problem List to assess for presence of psychological distress and identify its sources.
RESULTS: There was a significant level of shame and stigma among cancer patients with the total mean SSS-M score of 12.08 (SD = 6.09). Anger (adjusted odds ratio [AOR] = 11.97, 95% confidence interval [CI] = 2.96-86.8, p = 0.001), loss of interest or enjoyment (AOR = 14.84, 95% CI = 2.93-75.20, p = 0.001), loneliness (AOR = 8.10, 95% CI = 1.13-58.02, p = 0.001), feeling of worthlessness or being a burden (AOR = 6.24, 95% CI = 1.32-29.59, p = 0.021), fear (AOR = 4.52, 95% CI = 1.79-11.43, p = 0.001), pain (AOR = 4.07, 95% CI = 1.53-10.82, p = 0.005), financial constraint (AOR = 2.95, 95% CI = 1.22-7.13, p = 0.016), and having regret (AOR = 1.89, 95% CI = 1.03-3.79, p = 0.039) increased the odds of developing psychological distress.
CONCLUSION: Treating clinicians should monitor for and provide psychosocial interventions for the biopsychosocial factors which may worsen psychological distress among cancer patients.
METHODS: This is a cross-sectional study with two-stage stratified random sampling. In total, 3977 older persons participated in this study. Face-to-face interviews were conducted using a mobile device to obtain information about socio-demographic background, food insecurity, non-communicable diseases, social support and living arrangements. Descriptive and multiple complex sample logistic regression analyses were performed for data analysis.
RESULTS: The overall prevalence of food insecurity among older persons was 10.4%. Older persons from rural areas with no or only primary and secondary education, income less than RM 2000 (USD 477.57), at risk of malnutrition and not receiving very high social support were more likely to be food-insecure.
CONCLUSION: Approximately, one-tenth of Malaysian older adults were classified as food-insecure; particularly those living in rural areas from lower socio-economic status, not receiving very high social support and malnourished were more likely to be at risk. A specific nutrition program, such as meals on wheels and food vouchers, should be targeted toward older persons who are at risk to improve their malnutrition status. Geriatr Gerontol Int 2020; 20: 73-78.
METHODS: The scoping review was conducted based on the framework by Arksey and O'Malley. The Preferred Reporting Items for Systematic Reviews and Meta Analysis (PRISMA) diagram was used as a guide to record the review process. Articles from year 2008 until 2017 on overweight and obesity among adults aged 18 years and above were retrieved based on the keywords using electronic databases (Embase/Ovid, Pubmed, Cochrane library and Google Scholar). Local journals, Nutrition Research in Malaysia Biblography (2011 and 2016), online local theses databases, virtual library databases were also included in the searches. Consultations with relevant key informants from the National Institutes of Health and local universities were also conducted. Search activities were managed using Endnote software and MS Excelsheet.
RESULTS: The characteristics of the results were described based on the objectives of the review. A total of 2004 articles and reports were retrieved, and 188 articles related to obesity in Malaysia were included in the final review. Scopes and topics of obesity research based on the Nutrition Research Priorities in Malaysia (NRPM) for 11th Malaysia Plan were obesity prevalence, weight loss intervention, association of physical activities and dietary factors with obesity. The majority of obesity research among adults in Malaysia was cross sectional studies and only a small number of intervention studies, qualitative studies and systematic review were indentified. Research gaps were identified in order to make useful recommendations to the stakeholders.
CONCLUSIONS: In the past decade, there has been an emerging evidence on obesity research among adults in Malaysia. More obesity research needs to be conducted particularly on obesity intervention among specific gender, qualitative studies, economic cost and genetic factors of obesity.