Studies have been carried out on the association between frailty and malnutrition, but the similarities and divergence of the relationship remain debatable. This study aimed to explore the prevalence of malnutrition risk and frailty as well as the overlapping constructs. The associations that emerged were assessed independently of other risk factors. A total of 301 community-dwelling older adults with a mean age of 66.91 ± 5.59 years old were randomly recruited. Fried Criteria and Mini Nutritional Assessment-Short Form (MNA-SF) were used to assess frailty status and malnutrition, respectively. Other related nutritional assessments were assessed (body mass index (BMI), circumference measures, body fat % and skeletal muscle mass). The prevalence of frailty was 14.6% and prefrail was 59.7%; 29.6% were at risk of malnutrition, and 3.3% were malnourished. Malnutrition risk was significantly associated with a higher number of chronic diseases, BMI, circumference of mid-upper arm (MUAC), and calf, (CC)and skeletal muscle mass (SMM) and frailty, whereas frailty was significantly associated with higher number of chronic diseases, SMM and malnutrition. Frailty syndrome can be predicted with increasing age, body fat, lower skeletal muscle and malnutrition. Those who were frail were found to be five times more likely to be at risk of malnutrition. Results suggested that frailty and malnutrition shared considerable overlap, which emphasised the interrelated but discrete concepts. Therefore, the assessment of malnutrition is imperative and could be used as a practical implication in assessing frailty syndrome.
Sarcopenia is a recognised geriatric syndrome but few studies address its associated factors among elderly with type 2 diabetes mellitus (T2DM) in South East Asia. This study aimed to determine the prevalence of sarcopenia and its associated factors among the elderly with T2DM in public primary care clinics in Malaysia. This study utilised data from a longitudinal study of 506 adults with T2DM aged ≥60 years. Data on socio-demography, clinical and functional status, diet and levels of physical activity (PA) were collected. Sarcopenia was defined using Asian Working Group for Sarcopenia criteria and its associated factors were analysed using multiple logistic regression. The proportion of elderly with T2DM with sarcopenia was 28.5%. Those aged ≥70 years (β = 0.73;OR = 2.07; 95%CI = 1.24, 3.48; p = 0.006), men (β = 0.61; OR = 1.84; 95%CI = 1.12, 3.02; p = 0.017), with ≥10 years duration of diabetes (β = 0.62; OR = 1.85; 95%CI = 1.11, 3.09; p = 0.018), not using insulin sensitizers (β = -1.44; OR = 0.24; 95%CI = 0.08, 0.71; p = 0.010), using less than 5 medications (β = 0.68; OR = 1.98; 95%CI = 1.17, 3.36; p = 0.011), low body mass index (BMI) (β = -2.43; OR = 0.09; 95%CI = 0.05, 0.17; p<0.001), and engaging in low (β = 0.77; OR = 2.15; 95%CI = 1.07, 4.35; p = 0.032) and moderate physical activities (β = 0.80; OR = 2.23; 95%CI = 1.07, 4.66; p = 0.033) were associated with sarcopenia. Factors that predicts sarcopenia such as level of physical activity and body mass index were among the modifiable factors that could be used in developing future strategies to prevent or delay the progression of sarcopenia among elderly with T2DM to improve their health status.