Sarcopenia in a Multiethnic State: A Cross-Sectional Data Analysis of Multicentre Indonesia Longitudinal Aging Study.

BACKGROUND: Previous regional studies related to sarcopenia in multiethnic Indonesia suggested inconsistent findings. We aimed to find the prevalence of sarcopenia and its associated factors among Indonesian older adults. METHODS: In this cross-sectional analysis, we utilised the data of Indonesia Longitudinal Aging Study (INALAS) from community-dwelling outpatients in eight centres. Statistical analyses included descriptive, bivariate, and multivariate analyses. We categorised older adults into sarcopenia group based on the criteria of the SARC-F questionnaire, namely strength, assistance with walking, rising from a chair, climbing stairs, and falls questionnaire. RESULTS: Among 386 older adults, 17.6% were in sarcopenia group. The prevalence of sarcopenia was found to be the lowest in Sundanese group (8.2%). Following appropriate statistical adjustment, sarcopenia was associated with female sex (OR 3.01, 95% CI 1.34-6.73), dependent functional capacity (OR 7.38, 95% CI 3.26-16.70), frailty (OR 11.82, 95% CI 5.41-25.80), and history of fall (OR 5.17 (95% CI 2.36-11.32). Sarcopenia was not significantly associated with age 70 years and older (OR 1.67, 95% CI 0.81-3.45), Sundanese group (OR 0.44, 95% CI 0.15-1.29), and being at high risk for malnutrition or malnourished (OR 2.98, 95% CI 0.68-13.15). All centenarians had no sarcopenia nor frailty, and 80% of them were Sundanese older adults. CONCLUSION: One in five Indonesian community-dwelling older adults had sarcopenia, associated with female sex, dependent functional capacity, frailty, and history of fall. Albeit statistically nonsignificant, there may still be link between Sundanese, age 70 years and older, as well as being at high risk for malnutrition, and sarcopenia.

Sedentary Lifestyle of Older Adults and Its Associated Factors: A Multicentre Cross-Sectional Study During COVID-19 Pandemic in Indonesia.

BACKGROUND: COVID-19 is here to stay, and humans ought to decide how to adapt. We aimed to describe lifestyle changes during COVID-19 pandemic, and to determine the prevalence and factors associated with sedentary lifestyle among older adults. METHODS: We obtained data from community-dwelling older adults aged ≥60 years. We presented the data descriptively and used multivariate analysis to assess the association between Physical Activity Scale for the Elderly (PASE) -based sedentary lifestyle and other variables in several tertiary geriatric centres. RESULTS: Among 601 participants, 21.1% had sedentary lifestyle. Ethnic groups with the highest prevalence of sedentary lifestyle were Minang, Balinese, and Sundanese. Changes related to food intake, body weight, and physical activity were seen in a small proportion of older adults. Sun exposure habit was described. Sedentary lifestyle was associated with less consumption of food (OR 2.59, 95% CI 1.07-6.30), weight loss (OR 3.00, 95% CI 1.64-5.48), and higher intensity of snacking (OR 0.45, 95% CI 0.20-0.99). CONCLUSION: During COVID-19 pandemic, one out of five older adults had sedentary lifestyle, which was positively associated with less consumption of food and weight loss, and negatively associated with higher intensity of snacking. The prevalence of sedentary lifestyle varied across ethnic groups. Adequate and appropriate food intake may be crucial to keep older adults active, preventing them from entering vicious cycle of malnutrition, sarcopenia, and frailty.

Frailty and Its Associated Risk Factors: First Phase Analysis of Multicentre Indonesia Longitudinal Aging Study.

Background: National long-term care development requires updated epidemiological data related to frailty. We aimed to find the prevalence of frailty and its associated factors among Indonesian elderly. Methods: We conducted first-phase cross-sectional analysis of Indonesia Longitudinal Aging Study (INALAS) data collected from community-dwelling outpatients aged 60 years and older without acute illness in nine geriatric service care centres. Descriptive, bivariate and multivariate analyses were conducted. Results: Among 908 elderly in this study, 15.10% were robust, 66.20% were pre-frail, and 18.70% were frail. Functional dependence was associated with frailty among Indonesian elderly (OR 5.97, 95% CI 4.04-8.80). Being depressed and at risk for malnutrition were also associated with frailty with OR 2.54, 95% CI 1.56-4.12, and OR 2.56, 95% CI 1.68-3.90, respectively. Prior history of fall (OR 1.77, 95% CI 1.16-2.72) and hospitalization (OR 1.46, 95% CI 0.97-2.20) in the previous 12 months were associated with frailty. There is also significant association between poly pharmacy and frailty (OR 2.42, 95% CI 1.50-3.91). Conclusion: Approximately one in five Indonesian community-dwelling elderly was frail. Frailty is associated with functional dependence, being at risk for malnutrition or being malnourished, depression, history of fall, history of hospitalization, and poly pharmacy. There may be bidirectional relationships between the risk factors and frailty. The development of long-term care in Indonesia should be considered, without forcing the elderly who need it.

Frailty state among Indonesian elderly: prevalence, associated factors, and frailty state transition.

BACKGROUND: Information about frailty status and its transition is important to inform clinical decisions. Predicting frailty transition is beneficial for its prevention. While Indonesia is the 4th largest geriatric population in Asia, data about frailty transition is limited. This study aimed to obtain data on prevalence of frailty, its risk factors, frailty state transition and its prognostic factors, as well as to develop prognostic score for frailty state transition. METHODS: Multicenter study on subjects aged ≥60 years old was done to obtain the prevalence of frailty status and to identify risk factors of frailty. Prospective cohort over 12 months was done to obtain data on frailty state transition. Multiple logistic regression analysis was performed to identify its prognostic factors from several clinical data, which then were utilized to develop prognostic score for frailty state worsening. RESULTS: Cross-sectional data from 448 subjects showed that 25.2% of the subjects were frail based on Frailty index-40 items. Risk factors of frailty were age (OR 2.72; 95% CI 1.58-4.76), functional status (OR 2.89; 95% CI 1.79-4.67), and nutritional status (OR 3.75; 95% CI 2.29-6.13). Data from the 162 subjects who completed the cohort showed 27.2% of the cohort had frailty state worsening. Prognostic factors for frailty state worsening were being 70 years or older (OR 3.9; 95% CI 1.2-12.3, p < 0.05), negative QoL, i.e., fair and poor QoL (OR 2.5; 95% CI 1.1-5.9, p < 0.05), and slow gait speed (OR 2.8; 95% CI 1.3-6.4, p < 0.05). The internal validation of the prognostic score consisted of those three variables showed good performance. CONCLUSION: The prevalence of frailty in this study among Indonesian elderly in outpatient setting was 25.2%. The risk factors of frailty were age, functional status and nutritional status. The prognostic factors for frailty state worsening were being 70 years old or older, negative QoL (fair or poor quality of life), and slow gait speed. A prognostic score to predict frailty state worsening in 12 months had been developed.

Nutmeg Extract Increases Skeletal Muscle Mass in Aging Rats Partly via IGF1-AKT-mTOR Pathway and Inhibition of Autophagy.

The sarcopenic phenotype is characterized by a reduction of muscle mass, a shift in fiber-type distribution, and reduced satellite cell regeneration. Sarcopenia is still a major challenge to healthy aging. Traditional Indonesian societies in Sulawesi island have been using nutmeg for maintaining health condition during aging. Interestingly, nutmeg has been known to stimulate peroxisome proliferator activated receptors γ (PPARγ) which may contribute to myogenesis process in cardiac muscle. There is limited information about the role of nutmeg extract into physiological health benefit during aging especially myogenesis process in skeletal muscle. In the present study, we want to explore the potential effect of nutmeg in preserving skeletal muscle mass of aging rats. Aging rats, 80 weeks old, were divided into two groups (control and nutmeg). Nutmeg extract was administered for 12 weeks by gavaging. After treatment, rats were anaesthesized, then soleus and gastrocnemius muscles were collected, weighted, frozen using liquid nitrogen, and stored at -80°C until use. We observed phenomenon that nutmeg increased a little but significant food consumption on week 12, but significant decrease in body weight on weeks 10 and 12 unexpectedly increased significantly in soleus muscle weight (p<0.05). Nutmeg extract increased significantly gene expression of myogenic differentiation (MyoD), paired box 7 (Pax7), myogenin, myosin heavy chain I (MHC I), and insulin-like growth factor I (p<0.01) in soleus muscle. Furthermore, nutmeg increased serine/threonine kinase (AKT) protein levels and activation of mammalian target of rapamycin (mTOR), inhibited autophagy activity, and stimulated or at least preserved muscle mass during aging. Taken together, nutmeg extract may increase muscle mass or prevent decrease of muscle wasting in soleus muscle by partly stimulating myogenesis, regeneration process, and preserving muscle mass via IGF-AKT-mTOR pathway leading to inhibition of autophagy activity during aging. This finding may reveal the potential nutmeg benefits as alternative supplement for preserving skeletal muscle mass and preventing sarcopenia in elderly.

Profile of food and nutrient intake among Indonesian elderly population and factors associated with energy intake: a multi-centre study.

AIM: to obtain profile of food and nutrient intake in Indonesian elderly population and factors associated with energy intake. METHODS: multi-center cross sectional study in 13 hospitals across Indonesia was conducted among 387 elderly who had attended geriatric clinics. Data collected including demographic characteristics, functional status, cognitive status, mental status, nutritional status, food intake, present activities, and data on chronic diseases. Chi square and logistic regression tests were performed to analyze the data. RESULTS: most of subjects (58.4%) were women and had educational background senior high school or higher degree (61.1%). The average of energy intake was 1266.74 (336.51) kilocalories. Calcium and protein intake were below the recommended of dietary allowance. female sex (OR 0.23; 95% CI 0.139-0.390) and osteoporotic subjects (OR 0.48; 95% CI 0.25-0.93) have lower risk for having <80% RDA daily energy intake, while lower educational level (OR 1.96; 95% CI 1.21-3.18) has higher risk for having <80% RDA daily energy intake. CONCLUSION: total energy intake were inadequate in the elderly. Female sex and osteoporotic subjects have lower risk for having <80% RDA daily energy intake, while lower educational level has higher risk for having <80% RDA daily energy intake.

Cardiometabolic risk factors and acute kidney injury based on urinary neutrophil gelatinase associated lipocalin (NGALu) in acute coronary syndrome patients.

AIM: to analyze the association between cardiometabolic risk factors and acute kidney injury (AKI) based on urinary neutrophil gelatinase associated lipocalin (NGALu) in patients with acute coronary syndrome (ACS). METHODS: a cross-sectional study was conducted on the ACS patients who were admitted to the Emergency Room in Hasan Sadikin Hospital. Urinary samples were obtained at the time of the arrival and considered AKI if the urinary NGAL level 150 ng/ml. The cardiometabolic risk factors were in accord with the IDF criteria for MetS. RESULTS: there were 60 subjects that consisted of 39 men (65%) and 21 women (35%) and the average of was 58.47 (SD 9.9) years. There were 30 subjects (50%) considered AKI based on NGAL level. There were two significant CMR risk factors associated with AKI; blood pressure (hypertension) and HDL (p 0.05). HDL being the most significant cardiometabolic factor (p=0.037; OR 5.137 (95% CI 1.102-23.95)). The number of factors was also associated with the incidence of AKI; the more factors existed in a person the greater the incidence of AKI (p=0.03). CONCLUSION: blood pressure and HDL were cardiometabolic risk factors associated with AKI in ACS patients. The more cardiometabolic factors existed in a person the greater the incidence of AKI.