scholarly journals Identifying frailty: do the Frailty Index and Groningen Frailty Indicator cover different clinical perspectives? a cross-sectional study

2013 ◽  
Vol 14 (1) ◽  
Author(s):  
Irene Drubbel ◽  
Nienke Bleijenberg ◽  
Guido Kranenburg ◽  
René JC Eijkemans ◽  
Marieke J Schuurmans ◽  
...  
Keyword(s):  
Frailty Index ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Groningen Frailty Indicator ◽  
Frailty Indicator

Prevalence and Risk Factors of Preoperative Frailty in Chinese Elderly Inpatients with Gastrointestinal Cancer Undergoing Surgery: A Single-center Cross-sectional Study Using the Groningen Frailty Indicator

2021 ◽  
Author(s):  
Qianqian Zhang ◽  
Meng Zhang ◽  
Shaohua Hu ◽  
Lei Meng ◽  
Jing Xi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastrointestinal Cancer ◽  
Handgrip Strength ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Groningen Frailty Indicator ◽  
Elderly Inpatients ◽  
Frailty Indicator

Abstract BackgroundFrailty is emerging as an important determinant for health. Compared with Western countries, research in the field of frailty started at a later stage in China and mainly focused on older community dwellers. Little is known about frailty in Chinese cancer patients, nor the risk factors of frailty. This study aimed to investigate the prevalence of frailty and its risk factors in elderly inpatients with gastrointestinal cancer. MethodsThis cross-sectional study was performed at a tertiary hospital in China from Mar. 2020 to Nov. 2020. The study enrolled 265 inpatients aged 60 and older with gastrointestinal cancer who underwent surgery. The demographic and clinical characteristics, biochemical laboratory parameters, and anthropometric data were collected from all patients. The Groningen Frailty Indicator was applied to assess the frailty status of patients. Multivariate logistic regression model analysis was carried out to identify risk factors of frailty and estimate their 95% confidence intervals. ResultsThe prevalence of frailty in elderly inpatients with gastrointestinal cancer was 43.8%. A multivariate logistic regression analysis showed that older age (OR=1.065, 95% CI: 1.001-1.132, P=0.045), low handgrip strength (OR=4.346, 95% CI: 1.739-10.863, P=0.002), no regular exercise habit (OR=3.228, 95% CI: 1.230-8.469, P=0.017), and low MNA-SF score (OR=11.090, 95% CI: 5.119-24.024, P<0.001) were risk factors of frailty. ConclusionsThis study suggested that the prevalence of frailty was high among elderly inpatients with gastrointestinal cancer. Older age, low handgrip strength, no regular exercise habit, and low MNA-SF score were identified as risk factors of frailty.

Prevalence and Risk Factors of Frailty in a Community-Dwelling Population: The HELIAD Study

2018 ◽  
Vol 32 (1-2) ◽  
pp. 14-24 ◽  
Author(s):  
E. Ntanasi ◽  
M. Yannakoulia ◽  
N. Mourtzi ◽  
G. S. Vlachos ◽  
M. H. Kosmidis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Population Studies ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Tilburg Frailty Indicator ◽  
Frailty Indicator

Objective: To estimate the prevalence of frailty using five different instruments in a cohort of older adults and explore the association between frailty and various risk factors. Method: 1,867 participants aged 65 years and above were included in the current retrospective cross-sectional study. Frailty was operationalized according to the Fried definition, the FRAIL Scale, the Frailty Index (FI), the Tilburg Frailty Indicator (TFI), and the Groningen Frailty Index (GFI). We explored the role of various frailty risk factors using logistic regression analyses. Results: The prevalence of frailty varied depending on the definition used (Fried definition = 4.1%, FRAIL Scale = 1.5%, FI = 19.7%, TFI = 24.5%, and GFI = 30.2%). The only risk factors consistently associated with frailty irrespectively of definition were education and age. Conclusion: The frailty prevalence reported in our study is similar or lower to that reported in other population studies. Qualitative differences between frailty definitions were observed.

Frailty in Caregivers and Its Relationship with Psychological Stress and Resilience: A Cross-Sectional Study Based on the Deficit Accumulation Model

2021 ◽  
pp. 1-8
Author(s):  
M. F.S. Bersani ◽  
F.S. Bersani ◽  
F. Sciancalepore ◽  
M. Salzillo ◽  
M. Cesari ◽  
...  
Keyword(s):  
Psychological Stress ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Deficit Accumulation ◽  
Cross Sectional ◽  
Accumulation Model ◽  
Emotional Strain ◽  
Relationship Of ◽  
The Relationship

Background: Studies increasingly suggest that chronic exposure to psychological stress can lead to health deterioration and accelerated ageing, thus possibly contributing to the development of frailty. Recent approaches based on the deficit accumulation model measure frailty on a continuous grading through the “Frailty Index” (FI), i.e. a macroscopic indicator of biological senescence and functional status. OBJECTIVES: The study aimed at testing the relationship of FI with caregiving, psychological stress, and psychological resilience. DESIGN: Cross-sectional study, with case-control and correlational analyses. PARTICIPANTS: Caregivers of patients with dementia (n=64), i.e. individuals a priori considered to be exposed to prolonged psychosocial stressors, and matched controls (n=64) were enrolled. MEASUREMENTS: The two groups were compared using a 38-item FI condensing biological, clinical, and functional assessments. Within caregivers, the association of FI with Perceived Stress Scale (PSS) and Brief Resilience Scale (BRS) was tested. RESULTS: Caregivers had higher FI than controls (F=8.308, p=0.005). FI was associated directly with PSS (r=0.660, p<0.001) and inversely with BRS (r=-0.637, p<0.001). Findings remained significant after adjusting for certain confounding variables, after excluding from the FI the conditions directly related to psychological stress, and when the analyses were performed separately among participants older and younger than 65 years. CONCLUSIONS: The results provide insight on the relationship of frailty with caregiving, psychological stress, and resilience, with potential implications for the clinical management of individuals exposed to chronic emotional strain.

scholarly journals Prevalence and factors associated with frailty among community-dwelling older people in rural Thanjavur district of South India: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e032904 ◽  
Author(s):  
Kirubakaran Kesavan Kendhapedi ◽  
Niveditha Devasenapathy
Keyword(s):  
Older People ◽  
Fear Of Falling ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Cross Sectional ◽  
Domain Definition ◽  
Tilburg Frailty Indicator ◽  
Community Dwelling Older People ◽  
Frailty Indicator

ObjectiveThere is sparse data on the prevalence of frailty from rural parts of India. Our aim was to estimate prevalence of frailty among community-dwelling older people in rural South Indian population and explore socio-demographic factors associated with frailty. We further explored the associations between frailty with fear of falling and falls.DesignCommunity based cross-sectional study.SettingFour villages in Thanjavur district of Southern India.ParticipantsRandom sample of adults aged 60 years and above from four villages.MethodsWe sampled community-dwelling older adults from the electoral list of four villages using stratified random sampling. We report prevalence of frailty as defined by physical definition (Fried’s Phenotype), accumulation of deficits (Frailty Index) and multi-domain definition (Tilburg Frailty Indicator). We report proportion of agreement of frailty status between the frailty tools. We used logistic regressions with robust SEs to examine the associations between socio-demographic determinants with frailty and the association between frailty with fear of falling and falls.ResultsAmong the 408 participants, the weighted (non-response and poststratification for sex) prevalence and 95% CI of frailty was 28% (18.9 to 28.1) for physical definition, 59% (53.9 to 64.3) for accumulation of deficits and 63% (57.4 to 67.6) for multi-domain definition. Frailty Index and Tilburg Frailty Indicator had good agreement (80%). Age, female, lower education, lower socioeconomic status, minimum physical activity in routine work were independently associated with frailty irrespective of the frailty definitions. Frail elderly had higher odds of falls as well as fear of falling compared with non-frail, irrespective of the definitions.ConclusionPrevalence of frailty among older people in rural Thanjavur district of South India was high compared with low-income and middle-income countries. Understanding the modifiable determinants of frailty can provide a valuable reference for future prevention and intervention.

scholarly journals 44 Association between Falls and Cognitive Frailty among Community Dwelling Older Adults: A Cross Sectional Study

2019 ◽  
Vol 48 (Supplement_4) ◽  
pp. iv9-iv12
Author(s):  
Resshaya Roobini Murukesu ◽  
Devinder Kaur Ajit Singh ◽  
Noor Izyani Mokhtar ◽  
Janet Bong May Ing ◽  
Ponnusamy Subramaniam ◽  
...  
Keyword(s):  
Older Adults ◽  
Rating Scale ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Cognitive Frailty ◽  
Prospective Longitudinal ◽  
Community Dwelling Older Adults

Abstract Introduction The presence of either frailty or cognitive impairment have been determined as precursors of falls among older adults. However, the association between falls and cognitive frailty has yet to be established. Objective To investigate the association between falls and cognitive frailty among community dwelling older adults. Methods A total of 246 Malaysian community dwelling older adults aged 60 years and above residing in the state of Selangor participated in this cross-sectional study. Sociodemographic details and clinical characteristics including the history of falls were obtained via interview. The presence of cognitive frailty was identified using the Clinical Dementia Rating Scale and Fried Frailty Index. Data analysis was carried out via binary logistic regression. Results The prevalence of falls and cognitive frailty in this study were 21.2% and 21.9% respectively among community dwelling older adults (mean age 72.39±5.40). No significant relationship between falls and cognitive frailty [OR:1.187, 95% C.I: 0.493-2.856, p=0.702] was demonstrated. However, older women [OR:2.663, 95% C.I, 1.136-6.239, p=0.024] and the presence of multi-morbidities [OR: 1.431, 95% C.I, 1.026-1.997, p=0.035] were significantly associated with falls which corroborates with existing literature. Conclusion Cognitive frailty was not a significant risk factor of falls among community dwelling older adults in this study. Further research is required in prospective, longitudinal, population-based studies to confirm this result.

scholarly journals Ethnic differences in frailty: a cross-sectional study of pooled data from community-dwelling older persons in the Netherlands

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e022241 ◽  
Author(s):  
Carmen Betsy Franse ◽  
Amy van Grieken ◽  
Li Qin ◽  
Rene J F Melis ◽  
Judith A C Rietjens ◽  
...  
Keyword(s):  
The Netherlands ◽  
Older Persons ◽  
Living Arrangement ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Ethnic Background ◽  
Community Dwelling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Pooled Data

ObjectiveFew European studies examined frailty among older persons from diverse ethnic backgrounds. We aimed to examine the association of ethnic background with frailty. In addition, we explored the association of ethnic background with distinct components that are considered to be relevant for frailty.Design and settingThis was a cross-sectional study of pooled data of The Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS) in the Netherlands.ParticipantsCommunity-dwelling persons aged 55 years and older with a Dutch, Indonesian, Surinamese, Moroccan or Turkish ethnic background were included (n=23 371).MeasurementsFrailty was assessed with the validated TOPICS-Frailty Index that consisted of 45 items. The TOPICS-Frailty Index contained six components: morbidities, limitations in activities of daily living (ADL), limitations in instrumental ADL, health-related quality of life, psychosocial health and self-rated health. To examine the associations of ethnic background with frailty and with distinct frailty components, we estimated multilevel random-intercept models adjusted for confounders.ResultsTOPICS-Frailty Index scores varied from 0.19 (SD=0.12) among persons with a Dutch background to 0.29 (SD=0.15) in persons with a Turkish background. After adjustment for age, sex, living arrangement and education level, persons with a Turkish, Moroccan or Surinamese background were frailer compared with persons with a Dutch background (p<0.001). There were no significant differences in frailty between persons with an Indonesian compared with a Dutch background. The IADL component scores were higher among all groups with a non-Dutch background compared with persons with a Dutch background (p<0.05 or lower for all groups).ConclusionsCompared with older persons with a Dutch background, persons with a Surinamese, Moroccan or Turkish ethnic background were frailer. Targeted intervention strategies should be developed for the prevention and reduction of frailty among these older immigrants.

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