Background: Reliable national data on disability which is internationally comparable is needed in Malaysia. This study aims to examine the prevalence of disability among adults in Malaysia and its determinants, particularly the socioeconomic factors and comorbidities. Methods: This study was based on the disability module, which is part of the National Health and Morbidity Survey 2015. This survey was implemented using a multi-stage stratified sampling design. A locally validated Washington Group questionnaire was used to collect data on disability. Results: Based on the definition of having at least one domain scored "a lot of difficulty or unable to do at all" or at least “some difficulty” scored in two domains, the prevalence of disability among adults in Malaysia was 11.8% (95% CI: 11.15, 12.53). Logistic regression analysis performed showed that population at risk of having disability in Malaysia were those of older people, ethnic minority, low level of education, single, obese, physically inactive and having mental health problems. Among older people, disability was significantly higher among those with no formal education, having mental health problems and physically inactive. Conclusions: The prevalence of disability among adults in Malaysia is comparable to WHO estimates and most developing countries. Planning for healthcare services should consider at-risk population, particularly older people and those from disadvantaged background to ensure equity healthcare.

Aim: An aging population is a potential burden for unprepared developing countries. Malaysia is foreseen to be an aging country by 2035. Thus, this study aimed to determine the prevalence and factors associated with hearing disability among older persons in Malaysia. Methods: Data from a nationwide survey implemented using a stratified cluster sampling design were analyzed. This study was carried out through face‐to‐face interviews and guided questionnaires. The questions were based on the Washington Group of Disability (WG) questionnaires, which produce multiple disability identifiers. Hearing disability is defined as at least one domain or question out of four questions coded as “A lot of difficulty” or “Cannot hear at all”. Results: The prevalence of hearing disability among older persons aged ≥60 years was 6.4% (95% CI 5.0–8.3), whereas 1.5% (95% CI 0.90, 2.50) older persons were reported to be using a hearing aid. The determinants of hearing disability are being male (aOR 2.67, 95% CI 1.94–3.66), being unemployed (retired, homemaker, unemployed; aOR 1.86, 95% CI 1.86–4.14) and had no formal education (aOR 18.25, 95% CI 4.18–79.55). Conclusions: Promoting healthy aging is important and crucial for Malaysia, in preparation toward an aging nation, as it could reduce the country's financial burden in the long term. Health‐related agencies should promote health awareness and treatment centers in relation to hearing disability among older persons, as they should be educated and informed about healthcare choices availability, which is aligned with the Global Disability Action Plan 2014–2021. Geriatr Gerontol Int 2020; 20: 43–48.

Background: This study aims to validate two predictive formulas of weight estimating strategies in children with special needs, namely the Cattermole formula and the Mercy formula. Methodology: A cross-sectional study with a universal sampling of children and adolescents with special needs aged 2–18 years old, diagnosed with cerebral palsy, down syndrome, autism and attention-deficit/hyperactivity disorder was conducted at Community-Based Rehabilitation in Central Zone Malaysia. Socio-demographic data were obtained from files, and medical reports and anthropometric measurements (body weight, height, humeral length, and mid-upper arm circumference) were collected using standard procedures. Data were analysed using IBM SPSS version 26. The accuracy of the formula was determined by intraclass correlation, prediction at 20% of actual body weight, residual error (RE) and root mean square error (RMSE). Result: A total of 502 children with a median age of 7 (6) years were enrolled in this study. The results showed that the Mercy formula demonstrated a smaller degree of bias than the Cattermole formula (PE = 1.97 ± 15.99% and 21.13 ± 27.76%, respectively). The Mercy formula showed the highest intraclass correlation coefficient (0.936 vs. 0.858) and predicted weight within 20% of the actual value in the largest proportion of participants (84% vs. 48%). The Mercy formula also demonstrated lower RE (0.3 vs. 3.6) and RMSE (3.84 vs. 6.56) compared to the Cattermole formula. Mercy offered the best option for weight estimation in children with special needs in our study population.