Frailty among Older Adults Living in Nursing Homes in Indonesia: Prevalence and Associated Factors

Rizka, Aulia; Indrarespati, Andika; Dwimartutie, Noto; Muhadi, Muhadi

doi:10.4235/agmr.21.0033

Cited by 21 publications

(20 citation statements)

References 19 publications

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“…In this study we confirmed that the overall prevalence of malnutrition in senior's nursing homes is high, as detected by all the nutritional screening/assessment tools used. This result is similar with other studies involving nursing homes for institutionalized senior citizens showing that nutritional personalized care is needed [14,15] and should be provided according to the results of screening/assessment tools, comorbidities, preferences, and habits of senior citizens. As expected, institutionalized elders present with a higher prevalence of nutritional risk/malnutrition compared to the day care population even when all tools are adjusted to age, sex, and MMS.…”

Section: Discussionsupporting

confidence: 90%

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Comparing Assessment Tools as Candidates for Personalized Nutritional Evaluation of Senior Citizens in a Nursing Home

et al. 2021

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Nutrition is an important health issue for seniors. In nursing homes, simple, inexpensive, fast, and validated tools to assess nutritional risk/status are indispensable. A multisurvey cross-sectional study with a convenient sample was created, comparing five nutritional screening/assessment tools and the time required for each, in order to identify the most useful instrument for a nursing home setting. Nutrition risk/status was evaluated using the following tools: Subjective Global Assessment (SGA), Mini Nutritional Assessment Short Form (MNA-SF), Malnutrition Universal Screening Tool (MUST), Nutritional Risk Screening 2002 (NRS 2002), and calf girth (CG). The time spent completing each tool was recorded. Eighty-three subjects were included. MNA-SF and CG were the screening tools that ranked highest with regards to malnutrition identification. CG failed to identify nutritional risk/malnutrition in seniors with lower limb edema. CG was the fastest tool while SGA was the slowest. This was the first study comparing non-invasive nutritional tools with time expended as a consideration in the implementation. CG is responsive, fast, and reliable in elders without edema. MNA-SF was more efficient at detecting malnutrition cases in the elderly population. Both MNA-SF and CG are considered the most suitable for the nursing home setting.

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Section: Discussionsupporting

confidence: 90%

“…The Short Form, available on Nestlé's website, was developed and validated specifically for an older population (>60 years) [2]. Completion of the MNA-SF results in a score with 3 categories: normal (12)(13)(14), risk of malnutrition (8)(9)(10)(11), and malnourished (0-7).…”

Section: Mini Nutritional Assessment Short Form (Mna-sf)mentioning

confidence: 99%

Comparing Assessment Tools as Candidates for Personalized Nutritional Evaluation of Senior Citizens in a Nursing Home

et al. 2021

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“…These factors are interconnected, form a cycle, and create conditions including inflammation, chronic malnutrition, and disturbance in hormone modulation and coagulation pathways. 2 Frailty is currently considered a geriatric syndrome due to the cumulative decline of multiple physiological systems leading to reduced physiological reserves and resistance to stressors, ultimately leading to detrimental outcomes such as falls, disability, hospitalization and death. 3 Both abnormal BMI and frailty might lead to disability among the elderly, therefore it is important to identify the elderly with frailty and disability as a part of comprehensive geriatric assessment.…”

Section: Muhammad Zuhal Darwismentioning

confidence: 99%

“…Usually, only the elderly with many comorbidities and lack of financial support move to nursing homes. 2 Physical frailty is highly prominent for the elderly who is living in nursing homes (range 19.0 to 75.6%) in western populations. Compared to community-dwelling elderly, individuals living in nursing homes may be more susceptible and often have various risk factors for frailty (i.e., activity of daily living disability, self-reported health status).…”

Section: Muhammad Zuhal Darwismentioning

confidence: 99%

Correlation Between Body Mass Index and Frailty on Activities of Daily Living among Elderly in The Nursing Home

Darwis¹,

Safei²

2022

IndoJPMR

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Introduction: High Body Mass Index (BMI) is associated with mortality and morbidity in the elderly. High BMI is also associated with limited physical function. Another issue faced by the elderly is frailty, frailty is associated with decreased exercise capacity, reduced muscle strength, and decreased bone mass leading to adverse health outcomes such as disability, falls, hospitalization and death. Physical frailty is highly prevalent for the elderly who is living in nursing homes. The aim of this study is to determine the association between body mass index and frailty to Activities of Daily Living (ADL) among the elderly in the nursing home. Methods: This study was conducted in 3 nursing homes in South Sulawesi. BMI and frailty were measured. Frailty was assessed by Edmonton Frail Scale (EFS), while activities of daily living was examined by Barthel Index (BI) Results: There were 30 participants, consisting of males 10 (33.3%), and females 20 (66.7%) with a median age of 72 years old, included in this study. The median BMI result was 20.4 (13.3-29.2). The median result of EFS was 5.5 (2-12). The median BI result was 92.5 (45-100). BMI have insignificant correlation with ADL (r = 0.196; p = 0.298), frailty have negative strong correlation with ADL (r = -0.738; p=0.000). Conclusion: There was no significant correlation between BMI and ADL. Otherwise, frailty and ADL have a strong correlation among the elderly in the nursing home.

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“…Nursing home residents are a particularly vulnerable to frailty [ 13 , 20 ]. The main determinants of being physically frail in nursing home residents‘ are: malnutrition [ 21 ], vitamin D deficiency [ 22 , 23 ], older age, female, living in a private institution, living with unknown person or living alone, having no regular exercise (≤2 times/week) and sedentary behaviour, poor self-reported health, lower socioeconomic status, lack of educational qualifications, obesity, being a smoker, and pain [ 24 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Physical Fitness and Risk Factors for the Occurrence of the Frailty Syndrome among Social Welfare Homes’ Residents over 60 Years of Age in Poland

Kaczorowska

Szwamel

Fortuna

et al. 2022

IJERPH

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The study aimed at assessing physical fitness and occurrence of the frailty syndrome among social welfare homes’ residents as well as defining factors which determine the level of frailty and its occurrence. The examination included 198 residents (115 females and 83 males of average age 75.5 ± 10.21) and was carried out with the use of the Short Physical Performance Battery (SPPB) test with the following cut-off points: 0–6—frail, 7–9—pre-frail, 10–12—non-frail. The research additionally collected data regarding age, gender, number of chronic diseases, education level, type of prior work and current physical activity. In addition, the height and weight of the respondents were measured. The frailty syndrome was found in more than a half of the examinees (104; 52.53%), the pre-frailty state in 30.30% (n = 60) and 17.17% (n = 34) were non-frail. The average result of the SPPB test was 6.52 ± 2.73, which proves a moderate limitation of the sample group’s fitness. No significant differences were noted between female and male respondents (p = 0.27). The multifactorial linear regression model showed that independent and direct frailty syndrome predicators included age, number of chronic diseases and regular physical activity (p < 0.05). In conclusion, promoting and encouraging regular, age and interest-related forms of physical activity among seniors might foster the maintenance of their physiological reservoir and functional efficiency.

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Frailty among Older Adults Living in Nursing Homes in Indonesia: Prevalence and Associated Factors

Cited by 21 publications

References 19 publications

Comparing Assessment Tools as Candidates for Personalized Nutritional Evaluation of Senior Citizens in a Nursing Home

Comparing Assessment Tools as Candidates for Personalized Nutritional Evaluation of Senior Citizens in a Nursing Home

Correlation Between Body Mass Index and Frailty on Activities of Daily Living among Elderly in The Nursing Home

Assessment of Physical Fitness and Risk Factors for the Occurrence of the Frailty Syndrome among Social Welfare Homes’ Residents over 60 Years of Age in Poland

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