How frail are our elderly? An assessment with Tilburg frailty indicator (TFI) in a rural elderly population of West Bengal

Prevalence of multidimensional frailty among community-dwelling older adults: A systematic review and meta-analysis

OBJECTIVE

The aims of this systematic review were to explore the pooled prevalence of multidimensional frailty assessed by the Tilburg Frailty Indicator among community-dwelling older adults.

DESIGN

A systematic review and meta-analysis.

METHODS

A comprehensive literature search was conducted across multiple databases, including PubMed, Web of Science, Embase, the Cochrane Library, CINAHL and three Chinese databases. Two independent researchers selected the literatures, extracted the data and evaluated the quality. All statistical analyses were performed using STATA version 16.0.

RESULTS

There were 66 studies with a total of 40,597 individuals that were eligible for the meta-analysis. Data from the meta-analysis revealed the pooled prevalence of 42 % for multidimensional frailty (95 % CI: 38 %-45 %, I2 = 98.9 %, T2 = 0.024, p < 0.001). Among the six studies that provided data for different age groups, the results demonstrated an increasing trend in the prevalence of multidimensional frailty with advancing age. The results of gender-stratified analysis proved that the pooled prevalence of multidimensional frailty in women (45 %, 95 % CI: 39 %-51 %, p < 0.001) was higher than that in men (33 %, 95 % CI: 28 %-39 %, p < 0.001). Based on different education levels, the prevalence of multidimensional frailty is highest in the primary elementary or illiterate group (41 %, 95 % CI: 30 %-52 %, p < 0.001). According to different marital status types, the pooled prevalence of multidimensional frailty in the married group was significantly lower (36 %, 95 % CI: 28 %-43 %) than that in the unmarried, divorced or widowed group (51 %, 95 % CI: 37 %-65 %).

CONCLUSIONS

Through a comprehensive review, we identified that 42 % of elderly individuals living in communities exhibit multidimensional frailty, indicating that multidimensional frailty is relatively common in this population. Stratified analysis revealed that advanced age, female gender, lower education level and unmarried status were associated with higher rates of multidimensional frailty.

Correlation of FIRE-MADE (Frailty Index in Rural Elderly - Mental Status, Activities of Daily Living, Depression, and Events) With Sarcopenia in Elderly Population of Central Rural India

Introduction Ageing results in the deprivation of various physiological reserves and resources resulting in the development of frailty. Frailty in turn brings various morbidities and dependence on others for the survival of an individual making him weak and vulnerable to various infective and non-infective insults leading to death. The present study assessed frailty in rural older adults of central India by using the Frailty Index in Rural Elderly - Mental Status, Activities of Daily Living, Depression, and Events (FIRE-MADE) and correlated it with sarcopenia assessed by the Asian Working Group for Sarcopenia (AWGS) and European Working Group on Sarcopenia in Older People (EWGSOP2) criteria. Materials This study was a prospective cross-sectional study, involving 250 older adults (i.e. age >60 years) with good functional status (i.e. able to perform basic activities of daily living or more), visiting the Medicine Department of Acharya Vinoba Bhave Rural Hospital (AVBRH), Sawangi, Wardha, from December 2019 to May 2020. Frailty was assessed and estimated by FIRE-MADE frailty index (FI) and then correlated it with sarcopenia assessed by AWGS and EWGSOP2 criteria. And effects of various parameters of FIRE-MADE (like mental status, functional status, depression, polypharmacy, diabetes mellitus, chronic obstructive airway disease, ischemic heart disease, stroke and cancer) and sarcopenia on frailty were studied. Results The mean age of the present study group was 68.08±4.46 years. Out of 250, 204 (91.07%) were frail and 178 (71.2%) were sarcopenic, and among the whole study population, 72 (28.8%) were severely frail, whereas 89 (35.6%) were severely sarcopenic. Frailty and sarcopenia increase with an increase in age. Females were more sarcopenic than males in all age groups. All the components of FIRE-MADE were significant contributors to frailty, but sarcopenia was the most important factor, with an odds ratio of 295.00. Conclusion In the rural regions of India, there is an elevated probability of frailty, with sarcopenia being the main reason behind it.

Frailty among middle-aged and older women and men in India: findings from wave 1 of the longitudinal Ageing study in India

OBJECTIVES

Few studies have examined frailty in Indian adults, despite an increasing population of older adults and an escalating burden of chronic diseases. We aimed to study the prevalence and correlates of frailty in middle-aged and older Indian adults.

SETTING

Cross-sectional data from Wave 1 of Longitudinal Ageing Study in India, conducted in 2017-2018 across all states and union territories, were used.

PARTICIPANTS

The final analytical sample included 57 649 participants aged 45 years and above who had information on frailty status.

PRIMARY OUTCOME MEASURE

The deficits accumulation approach to measuring frailty was employed, creating a frailty index between 0 and 1, based on 40 deficits. Individuals with a frailty index of 0.25 or more were defined as 'frail'.

RESULTS

Prevalence of frailty among 45+ adults was 30%. 60+ women were two times as likely to be frail compared with 60+ men, after adjusting for a wide range of sociodemographic, economic and lifestyle factors. The sex difference was more pronounced in adults aged 45-59 years. Odds of hospitalisation in the last 12 months, and having falls in the past 2 years, were two times as high in frail adults compared with non-frail adults. Frail middle-aged and older adults had 33% and 39% higher odds, respectively, of having poor cognition than non-frail adults. The relative increase was higher in women for all three outcomes, although not statistically significant.

CONCLUSIONS

There needs to be careful consideration of sex differences when addressing frailty, particularly for optimising frailty interventions. Frailty, although typically assessed in older adults, was shown in this study to be also prevalent and associated with adverse outcomes in middle-aged Indian adults. More research into assessment of frailty in younger populations, its trajectory and correlates may help develop public health measures for prevention of frailty.

Prevalence and associated factors of frailty among community dweller older adults living in Gondar town, northwest, Ethiopia: a community based cross-sectional study

BACKGROUND

Frailty is a multidimensional geriatric condition that increases vulnerability to stressors, increases the risk of negative health outcomes, and lowers quality of life in older people. However, little attention has been paid to frailty in developing countries, particularly in Ethiopia. Therefore, the aim of the study was to investigate the prevalence of frailty syndrome and the sociodemographic, lifestyle, and clinical factors associated with it.

METHODS

A community-based cross-sectional study design was conducted from April to June 2022. A total of 607 study participants were included using a single cluster sampling technique. The Tilburg frailty indicator, which is a self-reported schedule for assessment of frailty, required respondents to answer 'yes' or 'no' and the total attainable score ranged from 0 to 15. An individual with a score of ≥ 5 considered frail. Data were collected by interviewing the participants using a structured questionnaire, and the data collection tools were pre-tested before the actual data collection period to check for the accuracy of responses, language clarity, and appropriateness of the tools. Statistical analyses were performed using the binary logistic regression model.

RESULTS

More than half of the study participants were male, and the median age of the study participants was 70, with an age range of 60-95 years. The prevalence of frailty was 39% (CI 95%, 35.51-43.1). In the final multivariate analysis model, the following factors associated with frailty were obtained: older age (AOR = 6.26 CI (3.41-11.48), presence of two or more comorbidities (AOR = 6.05 CI (3.51-10.43), activity of daily life dependency (AOR = 4.12 CI (2.49-6.80), and depression (AOR = 2.68 CI (1.55-4.63) were found to be significant factors.

CONCLUSION AND RECOMMENDATIONS

Our study provides epidemiological characteristics and the risk factors of frailty in the study area. Efforts to promote physical, psychological, and social health in older adults are a core objective of health policy, especially for older adults aged 80 and above years, and those with two or more comorbidities.

Relationship between Frailty, Glycemic Control, and Nutritional Status among the Elderly with Diabetes Mellitus Residing in an Urban Community of Mysuru

Background

In India, the elderly (aged 60 and above) constitute 8.2% of the total population and are expected to increase to 10% by the year 2020. Globally, around 450 million people are suffering from diabetes mellitus. Frailty is regarded as a predisability state and, therefore, if identified early, may avert many adverse health outcomes in the elderly. Diabetes and frailty are found to be close associates.

Materials and Methods

This community-based cross-sectional study was conducted among 104 elderlies with diabetes mellitus residing in an urban slum situated in Mysuru for a period of 6 months. Pretested structured questionnaire was used to collect the information on sociodemographic characteristics and details of diabetes. The Tilburg's Frailty Scale was used to assess frailty, and the Mini Nutritional Assessment Scale was used to assess the nutritional status.

Results

The prevalence of frailty among the study population was 53.8%. 51% of the subjects were found to have their glycemic status under control, 16.3% were malnourished, and 70.2% were at risk of malnutrition (RMN). The majority of the subjects with malnourishment were frail (76.5%) followed by those at RMN, 36 (49.3%). Gender, marital status, engaging in occupation, socio economic status, poor glycemic control were found to be significantly associated with frailty.

Conclusion

The prevalence of frailty is significantly higher among elderly diabetics. The poorer glycemic control is a significant factor associated with frailty, and malnourished elderlies are more at risk of developing frailty.

Cognitive frailty among community-dwelling rural elderly population of West Bengal in India

OBJECTIVES

There has been growing interest in the links between physical frailty and cognitive impairment: both can increase the risk of emerging life-threatening health problems and are currently prominent within the global geriatric health agenda. A recent consensus proposes the idea of 'cognitive frailty' defined by the presence of both physical frailty and cognitive impairment in the absence of dementia. Present study is intended to determine the prevalence of cognitive frailty and its associated factors.

METHODS

Cross-sectional survey was conducted among the rural community-dwelling elderly population of West Bengal, India (n = 510), without diagnosed dementia at baseline. An Interview-based questionnaire was administered to obtain information on sociodemographic, physical and psychosocial characteristics. Study participants were categorized as non-cognitive impairment (NCI) and cognitive impairment (CI) by Bangla Adaptation of Mini-Mental State Exam (BMSE ≤ 25) scale, as non-physical frailty (NPF) and physical frailty (PF) using Modified Fried Frailty Phenotype (FP ≥ 3) scale, as robust (NPF + NCI), pre-cognitive frailty (NPF + CI or PF + NCI) and cognitive frailty (PF + CI).

RESULTS

The overall prevalence of cognitive frailty was 21.8%. In multinomial regression analysis, final model indicated that increasing age, being woman, out-of-wedlock, poor education and non-working sociodemographic status had significant association with cognitive frailty. Poor nutritional status, low health-related quality of life and depression are also prone among the cognitively frail participants.

CONCLUSIONS

Present study allows us to understand complementary relationships between sociodemographic, physical, psychosocial characteristics and cognitive frailty. There is a dire need for multidimensional approach for providing appropriate and comprehensive geriatric health care for developing countries like India.

Prevalence and risk factors of frailty among people in rural areas: a systematic review and meta-analysis

OBJECTIVE

Older people in rural areas are possibly more frail due to the limited medical resources and lower socioeconomic status. Given the negative healthy outcomes caused by frailty, knowing the epidemiology of frailty in rural areas is of great importance. We tried to synthesise the existing evidences for the prevalence and risk factors of frailty in rural areas.

DESIGN

A systematic review and meta-analysis.

DATA SOURCES

PubMed, Embase, MEDLINE, Cochrane Library, Web of Science and Scopus were used to identify the articles from inception to 30 April 2019.

ELIGIBILITY CRITERIA

Observational studies providing cross-sectional data on the prevalence of frailty in rural elderly were extracted.

DATA EXTRACTION AND SYNTHESIS

Two independent investigators selected studies, extracted data and assessed the methodological quality of included studies. The pool prevalence of frailty was calculated by the random effects model and the OR and 95% CI were used to calculate the risk factors.

RESULTS

The literature search yielded 2219 articles, of which 23 met the study criteria and were included in this analysis. The pooled prevalence of frailty and pre-frailty were 18% (95% CI 15% to 21%, I²=98.5%, p<0.001) and 50% (95% CI 45% to 56%, I²=98.4%, p<0.001), respectively. The pooled frailty prevalence was 15% for the Fried Phenotype, 18% for the Frailty Index and 23% for other criteria. The pooled prevalence of frailty was 17% for males and 26% for females. The pooled prevalence of frailty was 17% in developing countries and 23% in developed countries. Age, cognitive impairment, depressive symptom, risk of malnutrition, activity of daily living (ADL) disability and poor self-perception of health were associated with frailty. There was no publication bias.

CONCLUSIONS

Frailty influences almost one in five older people in rural areas, and increasing age, cognitive impairment, depressive symptom, risk of malnutrition, ADL disability and poor self-perception of health were all risk factors for frailty. We should be cautious about the research results due to the heterogeneity between studies.

Development and Psychometric Validation of a New Scale for Assessment and Screening of Frailty Among Older Indians

Background

Frailty is a major challenge for healthcare systems in ageing societies. This dynamic state of health is a reflection of reduced reserve in various organ systems and enhanced vulnerability to stressors. Research in this area of geriatrics and gerontology is limited in low- and middle-income countries (LMICs) like India. This study is directed at development of a culturally appropriate and validated assessment scale for frailty among older Indians.

Methods

After extensive review of the literature on existing scales, a preliminary draft scale was formed. This draft was pre- and pilot-tested to check feasibility and modified accordingly. The final scale was validated on 107 older adults by confirmatory factor analysis and was named the Frailty Assessment and Screening Tool (FAST). The Fried’s frailty phenotype was also administered on the same 107 older adults and scores of both were co-related. Suitable cut-off scores were found for frail and pre-frail older adults.

Results

The final version of the FAST consisted of 14 questions pertaining to 10 domains. It has good reliability. Cronbach’s alpha co-efficient was 0.99; test–retest reliability was 0.97 and validity by confirmatory factor analysis was adequate. The Kaiser–CMeyer–Olkin (KMO) of sampling adequacy was 0.699, and Bartlett’s test of sphericity was significant (χ² = 353.471, p < 0.001). FAST scores had a cut-off of ≥ 7/14 for frail and ≥ 5/14 for pre-frail elderly.

Conclusion

The FAST is a validated tool with good psychometric properties. It is expected that it will be helpful in screening pre-frail and frail older adults in India and other LMICs and guide in clinical decision making for intervention.

Frailty indexed classification of Bangladeshi older adults' physio-psychosocial health and associated risk factors- a cross-sectional survey study

BACKGROUND

Frailty is associated with healthy ageing, and it has been identified as a means of measuring older adults' physio-psychosocial health. We know about the ageing trends and common diseases of older adults living in South Asia, but literature to date does not widely feature their health status based on frailty, especially in Bangladesh. This study aims to understand the prevalence of frailty in Bangladeshi older adults; classify their health status; and investigate associated risk factors.

METHODS

A cross-sectional study was conducted in the north-eastern region (i.e. Sylhet City Corporation) of Bangladesh. Four hundred participants aged 55 years and above were randomly selected, attended a health assessment session and completed a multi-indicator survey questionnaire. We developed a 30-indicator Frailty Index (FI30) to assess the participant's health status and categorized: good health (no-frailty/Fit); slightly poor health (mild frailty); poor health (moderate frailty); and very poor health (severe frailty). Pearson chi-square test and binary logistic regression analysis were conducted.

RESULTS

The participants' mean age was 63.6 years, and 61.6% of them were assessed in poor to very poor health (moderate frailty/36.3% - severe frailty/25.3%). The eldest, female and participants from lower family income were found more frailty than their counterparts. Participants aged 70 years and above were more likely (adjusted OR: 4.23, 95% CI: 2.26-7.92, p < 0.0001) to experience frailty (medical conditions) than the pre-elderly age group (55-59 years). Female participants were more vulnerable (adjusted OR = 1.487, 95% CI: 0.84-2.64, p < 0.0174) to frailty (medical conditions) than male. Also, older adults who had higher family income (Income>$473.3) found a lower risk (adjusted OR: 0.294, 95% CI: 0.11-0.76, p < 0.011) of frailty (poor health).

CONCLUSION

Our study results confirm the prevalence of frailty-related disorders in Bangladeshi older adults and highlight the importance of targeted clinical and community-led preventive care programs.

Nutritional domains in frailty tools: Working towards an operational definition of nutritional frailty

Different methods have been proposed for the assessment of the nutritional status in frailty phenotypes. In the present narrative review article, we have summarized the number and specifications of nutritional items in existing frailty tools, in order to develop a possible means of assessment and operational definition of the nutritional frailty phenotype. In six different databases until December 2019, we searched for original articles regarding frailty tools (i.e., scales, indexes, scores, questionnaires, instruments, evaluations, screening, indicators), analyzing each tool regarding nutritional items. We identified 160 articles describing 71 frailty tools. Among the selected frailty tools, 54 were community-based (70 %), 17 hospital-based (22 %), 4 validated in long-term care institutions for older adults (LTCIOA) (5.1 %) and 2 validated in both community- and hospital-based settings, including LTCIOA (2.5 %). Fifty-two of these tools (73 %) included at least one nutritional item. Twenty-two (42 %) reported two or more nutritional items. The items were grouped in the following categories: A) anthropometric measurements, B) laboratory measurements, and C) other nutritional-related measurements. Anthropometric measurements stood out compared to all other items. Nutritional items are included in the majority of frailty tools, strengthening the concept that they may have a direct implication on an increased risk of adverse health-related outcomes in frail subjects. This supports the development of the concept of nutritional frailty as an independent frailty phenotype. Subsequent steps will be to assess the contribution of each nutritional item to a possible operational definition of nutritional frailty and define the items that may best identify this new frailty phenotype.

Profile and outcome of patients with ground-level falls

Background:

A ground-level fall is one of the most common modes of injury sustained across all age groups. For older adults, ground level falls can result in multiple injuries and are associated with significant morbidity and mortality.

Methodology:

This retrospective observational study included all patients presenting with fall from a ground level to our emergency department (ED) from January 2018 to December 2018. Demographics, details of incident, severity of injury, and outcome were analyzed.

Results:

During the study period, 596 patients with a mean age of 40.9 (standard deviation [SD]: 25.9) years were included in the analysis. A quarter (23%) were aged less than 15 years, while the elderly (>60 years) comprised of 29.5%. Half the patients were triaged as priority 2 (53.8%). The lower limbs (36.6%), upper limbs (23.9%), and face (15.3%) were the body areas that were most commonly injured. The new injury severity score (NISS) was more than 8 in 28% of patients. Multivariate logistic regression analysis showed the elderly (>60 years) to have a higher odds (2.51 95% confidence interval [CI]: 1.57–4.02) of sustaining a fracture of a dislocation. One fifth of the patients (120/596; 20.1%) required hospital admission with only one fatality. Fifteen patients (2.5%) left the hospital against medical advice. Two-thirds (66.3%) required only conservative management, while 19.9% required major surgical intervention.

Conclusion:

A ground-level fall is a common mode of injury in children (<15 years) and the elderly (>60 years). The extremities and face are the most common areas of the body that are prone to injuries. Age-friendly infrastructure modifications at home, work places, and in public areas for elders and ensuring playground safety for children are the needs of the hour to decrease falls on level ground.