Aim: The rise in the prevalence of abdominal obesity (AO), in particular, has become a major concern as it contributes to diabetes, hypertension, high cholesterol, heart disease and certain types of cancer. The aim of this study is to determine the prevalence and associated factors of AO among older adults aged ≥60 years in Malaysia. 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.

The current COVID-19 pandemic remains severe. There is no doubt that the COVID-19 pandemic is affecting every aspect of our lives. Currently, the spread of inaccurate information or fake news on the internet to the public is causing the community to panic. Thus, this study aims to obtain available information on food and nutrition related to the prevention and treatment of COVID-19 from various sources. A scoping review framework was used to chart the evidence on nutritional recommendations to prevent COVID-19 based on the preferred method in reporting systematic review and meta-analysis extension for scoping reviews (PRISMA-ScR). The articles were categorised into three main groups: i) general dietary recommendations; ii) supplementation with specific micronutrients and iii) their mixtures and supplementation with traditional herbs and miscellaneous foods. A total of 60 articles met the inclusion criteria and were used in the review. This scoping review demonstrates that there is no miracle cure, food or supplement that can cure or prevent COVID-19. Currently, there is no confirmed treatment or vaccine for the disease. Practicing healthy eating habits is the best nutritional recommendation during the pandemic. Hence, this review hopefully will provide evidence-based nutrition recommendations that are available for current COVID-19 treatment. We hope that the authorities can inform the public and media to stop the spread of nutrition pseudoscience in the wake of the COVID-19 pandemic.

Background: Body Mass Index (BMI) can be used to determine bodyweight categories. This study aimed to re-examine the previous optimal BMI cut-offs in identifying the Non-Communicable Diseases (NCDs) among the Malaysian adults’ population. Data were obtained from the National Health and Morbidity Survey (NHMS) 2019. Methods: It was a cross-sectional, population-based survey that employed a two-stage stratified random sampling design. A total of 10,472 adults aged 18 years and above participated in this survey throughout Malaysia, with the majority aged between 31 to 59 years. Results: The optimal BMI cut-off values for identifying diabetes, hypertension, hypercholesterolemia, and at least one NCD ranged from 22.92 to 24.81 kg/m2 for males. The highest optimal BMI cut-off value for at least one NCD in females was 26.29 kg/m2, while the lowest optimal BMI cut-off value was for hypercholesterolemia in females, which was 22.63 kg/m2. Our study has produced a more reliable and revised BMI cut-off point that can detect NCD at a lower BMI compared to available BMI classification. Conclusion: The findings highlight the importance of recognizing the issue of BMI and obesity to tackle NCD. A new set of modified BMI which is very useful for tertiary care, demonstrates the potential benefit of early detection and intervention in preventing morbidity and mortality. Hence, it would lessen the length and impact of the disease on a person’s quality of life and also reduce complications and lower the mortality rates of certain diseases because early treatment is often the most effective.