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.

Indonesian Geriatrics Society Consensus on COVID-19 Management in Older Adults.

More than 80% of death cases and 95% of severe COVID-19 occur in patients aged over 60 years. Atypical clinical manifestations with high morbidity and mortality further emphasize the importance of COVID-19 management in older adults. Some older patients may appear asymptomatic while other may present with acute respiratory distress syndrome and multi organ failure. Fever, higher respiratory rate and crackles may present. The most common chest x-ray finding is ground glass opacity. Other imaging modalities that are often used are pulmonary computed tomography scan and lung ultrasonography. COVID-19 management in older adults should be comprehensive, starting from oxygen, fluid, nutritional, physical rehabilitation, pharmacology and psychosocial therapy. In this consensus, we also discuss about management of older adults with special condition such as diabetes mellitus, kidney disease, malignancy, frailty, delirium, immobilization and dementia. In post COVID-19 phase, we believe that physical rehabilitation is important as it is done to improve fitness.

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.

Comparisons of Characteristics and Nutritional Inadequacies in Indonesian Older Adults Consuming or Refraining from Dairy Products.

BACKGROUND: Milk consumption in the Indonesian elderly population is among the lowest in the world, and two-thirds of the population are lactose intolerant. This might have an impact on energy and nutrient intakes. However, data on the prevalence of nutrient intake inadequacies in dairy users versus non-dairy users, as well as population characteristics, are lacking. Therefore we obtained data comparing nutritional inadequacies and characteristics of Indonesian older adults consuming or refraining from dairy products. METHODS: A cross-sectional study was conducted in 2021 as a part of the INA LACTASE study, involving 194 community-dwelling older adults in the outpatient geriatric clinic at Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia. We collected data on demographic and clinical characteristics as part of a routinely performed comprehensive geriatric assessment. A structured questionnaire was developed to categorize participants as dairy-or non-dairy users based on habitual dairy intake. Food records were collected to assess nutrient intakes. The prevalence of inadequacies of energy, macronutrients, and a selection of micronutrients (calcium, vitamin D, and vitamin B12) was calculated by comparing the reported mean intakes to the recommended dietary intakes of the Indonesian population (Indonesian RDA). Prevalence ratios were calculated to measure the association between dairy product consumption and the prevalence of nutrient inadequacies. RESULTS: We recruited 194 eligible participants. This study found that dairy users had a higher proportion of women, a higher monthly income, but a lower proportion of hypertension, diabetes mellitus, and dyslipidaemia in older adults consuming dairy products. We observed wide variability in energy and nutrient intakes, as well as a high prevalence of inadequacies for all dietary intake parameters, particularly micronutrients. Dairy users had a lower prevalence of micronutrient inadequacies than non-dairy users. The prevalence of vitamin D inadequacies in dairy users versus non-dairy users was 91.6% vs. 99.3% in men and 71.9% vs. 98.0% in women, respectively. Inadequate vitamin B12 intake was found in 60.6% of dairy users vs. 89.4% of non-dairy users in men and 65.5% vs.. 68.4% of women, respectively. The most pronounced difference was found in the prevalence of calcium intake inadequacies in dairy users vs. non-dairy users, which was 64.8% vs. 99.5% in men and 89.9% vs. 99.8% in women. We found statistically significant differences in the prevalence of calcium, vitamin D, and vitamin B inadequacies between dairy and non-dairy users. CONCLUSION: This study identified that dairy users had a higher monthly income and had a lower proportion of hypertension, diabetes mellitus, and dyslipidemia. In addition, we discovered a high prevalence of nutrient intakes inadequacies in Indonesian older adults, particularly among non-dairy users. Micronutrient inadequacies are major sources of concern, with statistically significant difference in calcium, vitamin D, and vitamin B12 prevalence of inadequacies.

Malnutrition and depression as predictors for 30-day unplanned readmission in older patient: a prospective cohort study to develop 7-point scoring system.

BACKGROUND: Readmission is related to high cost, high burden, and high risk for mortality in geriatric patients. A scoring system can be developed to predict the readmission of older inpatients to perform earlier interventions and prevent readmission. METHODS: We followed prospectively inpatients aged 60 years and older for 30 days, with initial comprehensive geriatric assessment (CGA) on admission in a tertiary referral centre. Patients were assessed with CGA tools consisting of FRAIL scale (fatigue, resistance, ambulation, illness, loss of weight), the 15-item Geriatric Depression Scale, Mini Nutritional Assessment short-form (MNA-SF), the Barthel index for activities of daily living (ADL), Charlson Comorbidity Index (CCI), caregiver burden based on 4-item Zarit Burden Index (ZBI), and cognitive problem with Abbreviated Mental Test (AMT). Demographic data, malignancy diagnosis, and number of drugs were also recorded. We excluded data of deceased patients and patients transferred to other hospitals. We conducted stepwise multivariate regression analysis to develop the scoring system. RESULTS: Thirty-day unplanned readmission rate was 37.6 %. Among 266 patients, 64.7 % of them were malnourished, and 46.5 % of them were readmitted. About 24 % were at risk for depression or having depressed mood, and 53.1 % of them were readmitted. In multivariate analysis, nutritional status (OR 2.152, 95 %CI 1.151-4.024), depression status (OR 1.884, 95 %CI 1.071-3.314), malignancy (OR 1.863 95 %CI 1.005-3.451), and functional status (OR 1.584, 95 %CI 0.885-2.835) were included in derivation of 7 score system. The scoring system had maximum score of 7 and incorporated malnutrition (2 points), depression (2 points), malignancy (2 points), and dependent functional status (1 point). A score of 3 or higher suggested 82 % probability of readmission within 30 days following discharge. Area under the curve (AUC) was 0.694 (p = 0.001). CONCLUSIONS: Malnutrition, depression, malignancy and functional problem are predictors for 30-day readmission. A practical CGA-based 7 scoring system had moderate accuracy and strong calibration in predicting 30-day unplanned readmission for older patients.

Prevalence of prehypertension and its risk factors in midlife and late life: Indonesian family life survey 2014-2015.

BACKGROUND: Early detection of prehypertension is important to prevent hypertension-related complications, such as cardiovascular disease, cerebrovascular disease and all-cause mortality. Data regarding the prevalence of prehypertension among mid- and late-life population in Indonesia were lacking. It is crucial to obtain the prevalence data and identify the risk factors for prehypertension in Indonesia, which may differ from that of other countries. METHODS: The cross-sectional analysis utilized multicenter data from Indonesian Family Life Survey-5 (IFLS-5) from 13 provinces in 2014-2015. We included all subjects at mid-and late-life (aged ≥40 years old) from IFLS-5 with complete blood pressure data and excluded those with prior diagnosis of hypertension. Prehypertension was defined as high-normal blood pressure according to International Society of Hypertension (ISH) 2020 guideline (systolic 130-139 mmHg and/or diastolic 85-89 mmHg). Sociodemographic factors, chronic medical conditions, physical activity, waist circumference and nutritional status were taken into account. Statistical analyses included bivariate and multivariate analyses. RESULTS: There were 5874 subjects included. The prevalence of prehypertension among Indonesian adults aged > 40 years old was 32.5%. Age ≥ 60 years (adjusted OR 1.68, 95% CI 1.41-2.01, p <  0.001), male sex (adjusted OR 1.65, 95% CI 1.45-1.88, p <  0.001), overweight (adjusted OR 1.44, 95% CI 1.22-1.70, p <  0.001), obesity (adjusted OR 1.77, 95% CI 1.48-2.12, p <  0.001), and raised waist circumference (adjusted OR 1.32, 95% CI 1.11-1.56, p = 0.002) were the significant risk factors associated with prehypertension. Prehypertension was inversely associated with being underweight (adjusted OR 0.74, 95% CI 0.59-0.93, p = 0.009). CONCLUSIONS: The prevalence of prehypertension in Indonesian mid- and late-life populations is 32.5%. Age ≥ 60 years, male sex, overweight, obesity, and raised waist circumference are risk factors for prehypertension.

Prognostic Scoring System for Mortality of Hospitalized COVID-19 Patients in Resource-Limited Settings: A Multicenter Study from COVID-19 Referral Hospitals.

BACKGROUND: Many studies identified the risk factors and prognostic factors related to in-hospital COVID-19 mortality using sophisticated laboratory tests. Cost and the availability of supporting blood tests may be problematic in resource-limited settings. This multicenter cohort study was conducted to assess the factors associated with mortality of COVID-19 patients aged 18 years and older, based on history taking, physical examination, and simple blood tests to be used in resource-limited settings. METHODS: The study was conducted between July 2020 and January 2021 in five COVID-19 referral hospitals in Indonesia. Among 1048 confirmed cases of COVID-19, 160 (15%) died during hospitalization. RESULTS: Multivariate analysis showed eight predictors of in-hospital mortality, namely increased age, chronic kidney disease, chronic obstructive pulmonary disease, fatigue, dyspnea, altered mental status, neutrophil-lymphocyte ratio (NLR) ≥ 5.8, and severe-critical condition. This scoring system had an Area-under-the-curve (AUC) of 84.7%. With cut-off score of 6, the sensitivity was 76.3% and the specificity was 78.2%. CONCLUSION: The result of this practical prognostic scoring system may be a guide to decision making of physicians and help in the education of family members related to the possible outcome.

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.

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.

Insulin resistance as one of indicators for metabolic syndrome and its associated factors in Indonesian elderly.

AIM: to obtain factors that are associated with insulin resistance in Indonesian elderly. METHODS: a cross sectional study was conducted at the Geriatric Outpatient Clinic of Cipto Mangunkusumo Hopital in 172 elderly patients. Data on subject characteristics (age and sex), body mass index, total body fat, peripheral subcutaneous fat, trunk subcutaneous fat, waist circumference, carbohydrate and fiber intake, physical activity, and 25(OH)D concentration were collected. Sample size was calculated in accordance with the formula of sample size on hypothesis testing for difference of two proportions and hypothesis testing for difference of mean of two independent groups. Significance level of 95% and power of 80% were used. Chi-square analysis and independent t-test were performed. Logistic regression analysis was conducted to recognize the most affecting variables for insulin resistance. P<0.05 was considered as the significance level. RESULTS: we found that the prevalence of insulin resistance among elderly in our study was 25%. Bivariate analysis showed that there was a significant association of age and body mass index with insulin resistance in elderly. There were also significant differences of mean on fat mass, fat mass (%), waist circumference, peripheral subcutaneous fat, trunk subcutaneous fat, which were significantly higher in insulin-resistance group compared to the non-insulin resistance group. Results of multivariate analysis demonstrated that only several factors were correlated to insulin resistance in elderly, that were peripheral subcutaneous fat (OR 1.09; 95% CI 1.05-1.15) and trunk subcutaneous fat (OR 0.93; 95% CI 0.87-0.99). CONCLUSION: peripheral subcutaneous fat and trunk subcutaneous fat are associated with insulin resistance in elderly.

Risk factors for depressive symptom changes in Indonesian geriatric outpatient.

AIM: to determine risk factors for depressive symptom changes in geriatric outpatients. METHODS: a prospective cohort study was conducted on 106 geriatric outpatients at Integrated Geriatric Clinic Cipto Mangunkusumo Hospital, Jakarta in 2010. A structured questionnaire was applied to obtain independent variable such as age, sex, educational level, chronic diseases (diabetes mellitus, chronic kidney diseases, hypertension, dyslipidemia, and osteoarthritis), functional status (WHO-Unescap score), nutritional status (body mass index), health related quality of life (Eq5D score), hospitalization within 6 months, and total calorie intake. Depressive symptom as dependent variable was assessed using Geriatric Depression Scale. The association between aforementioned various factors with depressive symptom changes were analyzed using multiple logistic regression analysis. RESULTS: most of subjects were women (63.2%), aged 70 years old and older (71.0%) and had hypertension (82.1%). There were 22.6% subjects with increase in GDS score during 6-month follow-up. Bivariable analysis showed that diabetes mellitus and chronic kidney diseases were significantly associated with depressive symptom changes. Multiple logistic regression showed that variable which independently associated with depressive symptom changes was uncontrolled chronic kidney disease (OR 3.390; 95% CI 1.07-10.76. CONCLUSION: uncontrolled chronic kidney disease is risk factor for depressive symptom changes in geriatric outpatients.

Predictors and scoring system for health-related quality of life in an Indonesian community-dwelling elderly population.

AIM: to determine factors that independently predict health-related quality of life of Indonesian community-dwelling elderly and to obtain scoring system to predict their quality of life. METHODS: this is a cross-sectional study covering a sample representative of the Indonesian community-dwelling elderly. The study was conducted among 487 elderly in 43 cities in Indonesia between November-December 2010. A structured questionnaire was applied to obtain independent variable such as age, sex, number of diseases, present activities, functional status (ADL score), cognitive status (AMT score), nutritional status (NRI score), and depression status. Quality of life as dependent variable was assessed by Euroqol-5D (Eq-5D). We defined good quality of life as 3 or more dimensions of Eq5D having score of 1. Predictors of quality of life were identified using multiple logistic regression analysis. We constructed a scoring system based on coefficients in multivariable analysis. Calibration performance of the score was evaluated by Hosmer-Lemeshow tests while discrimination performance was evaluated with the c-statistic. RESULTS: most of the subjects were male (52.2%) and aged between 60-70 years old (75.8%). Prevalence of poor quality of life in this study was 14.9%. Bivariable analysis showed that all independent variables were significantly associated with quality of life. Multiple logistic regression analysis showed that factors predicting poor quality of life were female (OR 1.9; 95% CI 1.0-3.6), poor nutritional status (OR 2.7; 95% CI (1.2-0.8), having >2 chronic diseases (OR 3.6; 95% CI 1.9-6.8), low functional status (OR 4.2; 95% CI 2.2-8.2), and depression (OR 6.3; 95% CI 3.3-12.1). Performance of the risk score revealed Hosmer Lemeshow test p=0.86 and c-statistic 0.87 (95% CI 0.83-0.92). CONCLUSION: the following factors were identified as predictive factors of HRQoL in Indonesian community-dwelling elderly: sex, nutritional status, number of chronic diseases, functional status, and depression status. The risk score developed based on those predictors showed good performance to accurately predict poor quality of life.

Prevalence of lactose intolerance and nutrients intake in an older population regarded as lactase non-persistent.

BACKGROUND AND AIMS: Energy and nutrient intakes of community-dwelling older adults in Indonesia are inadequate whereby milk consumption is among the lowest in the world. Lactose intolerance is probably one of the reasons for such low milk consumption, but information on the burden of this problem and its consequences for dietary intake is lacking. We obtained data on the prevalence of lactose intolerance and dietary intakes in Indonesian older outpatients, thereby comparing dairy users and non-dairy users. METHODS: A cross-sectional study was conducted in 2019 involving 103 community-dwelling older adults in the outpatient geriatric clinic, Dr. Cipto Mangunkusumo Hospital, Jakarta. A structured questionnaire was used to categorize participants as dairy- or non-dairy users. Food records were collected to assess nutrients intake from the diet. The prevalence of lactose intolerance (LI) was estimated based on the results of the hydrogen breath test (HBT) and on symptoms of lactose malabsorption. The difference in LI prevalence between dairy- and non-dairy user group was presented as a prevalence ratio (with 95% confidence interval). Chi-square tests, t-test, and Mann-Whitney tests were used to evaluate differences in demographic and clinical characteristics, as well as in nutrient intake profiles between dairy and non-dairy users. RESULTS: The prevalence of lactose intolerance amounted to 66% (57-75%), 54% (37-70%), and 73% (61-84%) in the total population, dairy- and non-dairy users, respectively. Lactose intolerance tended to be higher among non-dairy users (PR 1.36 95% CI 0.99-1.89). On the other hand, we found no pronounced differences in symptoms of lactose intolerance between dairy and non-dairy users. The overall mean protein, calcium, vitamin D, and vitamin B12 intakes of the older adults were low. Intakes of protein, calcium, vitamin D and vitamin B12 were higher among dairy than among non-dairy users. CONCLUSIONS: This study uncovered the large size of the lactose intolerance problem in Indonesian older adults. Especially in non-dairy users, the intakes of proteins and some micronutrients are a concern. Strategies to tackle lactose intolerance are most relevant as to open the door for more nutrient-dense foods in the diet of Indonesian older adults.

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.

Cut-off of anthropometry measurement and nutritional status among elderly outpatient in Indonesia: multi-centre study.

AIM: To obtain the cut-off value of anthropometric measurements and nutritional status of elderly in Indonesia. METHODS: A multicentre-cross sectional study was performed at 9 hospitals in Indonesia. The data collected comprises of samples characteristics, anthropometric measurements (weight, height, trisep, bisep, subscapular, suprailiac, and circumference of the hip, waist, arm, calf, and thigh), albumin value, MNA score and ADL Index of Barthel. RESULTS: A total of 702 subjects were collected. The average value of serum albumin is 4.28 g/dl, with 98% subjects had normal serum albumin (> 3.5 g/dl). The mean MNA score and BMI was 23.07 and 22.54 respectively. Most of subjects (56.70%) had risk of malnutrition based on MNA score, and 45.01% had normal nutritional status based on body mass index. Average value of several anthropometric measures (weight, stature, and body mass index; sub-scapular and supra-iliac skinfolds; thigh, calf, mid-arm, and waist circumferences) in various age groups in both groups of women and men were obtained. Cut-off values of various anthropometric indicators were also analyzed in this study with MNA as a gold standard. CONCLUSION: This study showed age related anthropometric measurement differences in both men and women aged 60 years and older.

Combination of alfacalcidol and calcium improved handgrip strength and mobility among Indonesian older women: A randomized controlled trial.

AIM: To determine the effect of alfacalcidol on muscle strength and functional mobility in Indonesian older women whose handgrip strength was low. METHODS: A randomized, double-blind controlled trial was carried out among 95 older women whose handgrip strength was ≤22 kg. Participants were randomized into two groups: 47 participants received alfacalcidol 0.5 µg/day and 48 participants received a placebo. Each participant in both groups was given calcium 500 mg/day. Handgrip strength as well as the Timed-Up and Go test were measured before and after 90 days of intervention. Per protocol analysis after intervention between two groups was carried out. RESULTS: There was a significant improvement of handgrip strength in the group that received alfacalcidol compared with the placebo group (15.50 vs 13.75; P = 0.003). The median time for the Timed-Up and Go test in the alfacalcidol group also improved significantly compared with the placebo group (9.01 vs 10.07, P = 0.028). CONCLUSIONS: Alfacalcidol with daily doses of 0.5 µg significantly improved muscle strength and functional mobility in Indonesian older women. Geriatr Gerontol Int 2018; 18: 434-440.

Estimating the annual cost of overactive bladder in Indonesia.

AIM: to estimate the annual economic cost and quality of life related to OAB in Indonesia population by taking into account the direct cost, value of lost productivity and cost consequences associated with OAB. METHODS: cross sectional study was done in Geriatric Clinic and Urogynaecology Clinic in Dr. Cipto Mangunkusumo Hospital Jakarta from July 2005 to March 2006. Primary outcome of this study was annual cost of OAB, symptom and quality of life of OAB patients. Cost data related to personal routine care of OAB and transportation expenditures were obtained by using questionnaires modified from Dowell Bryant incontinence cost index validated questioner. Data related to quality of life were obtained by OAB-q questioner. Subjects included 30 male and female OAB patients aged 18-100 years. RESULTS: most of patients were female (96.7%). Median of age was 62.5 (30-93) years old, 56.7% patients were elderly (age more than 60 years). Median of total annual cost of OAB was Rp. 2,850,000,-. Median of total personal cost which consist of routine personal care costs and treatment costs were Rp. 2,850,000. Median of total cost which is expended by government for routine personal and treatment of OAB was Rp.2,500,000,- . Median score of symptom severity was 62.5. Quality of life score was divided into coping, concern, sleep, and social item. Median of coping score was 50.0, concern score was 43.1, sleep score was 50.8, and social score was 38.8. Median of total quality of life score was 44.7. Maximum score of symptom severity and quality of life should be 98.8. The higher the score, the more severe the symptom, but the better is the quality of life. CONCLUSION: total annual cost of OAB was Rp. 2,850,000, Quality of life of OAB patient was somewhat poor.