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 ◽  
...  

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.

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 ◽  
...  

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.


Author(s):  
Payom Thinuan ◽  
Penprapa Siviroj ◽  
Peerasak Lerttrakarnnon ◽  
Thaworn Lorga

This study aimed to determine the prevalence and associated factors of frailty among Thai older persons. A cross-sectional study was conducted with a representative sample of 1806 older persons aged 60 years or older. Frailty was assessed by Fried’s frailty phenotypes, which consists of five criteria, namely, unintended weight loss, exhaustion, slow walking, weak handgrip and decreased physical activity. Older people who met 3 in 5, 1–2 in 5, and none of the criteria were considered frail, pre-frail and non-frail respectively. The prevalence was calculated and multinomial logistic regression was performed. Prevalence rates of frailty, pre-frailty and non-frailty were 13.9% (95% CI 9.9 to 18.8), 50.9% (95% CI 47.5 to 54.1) and 35.1% (95% CI 31.5 to 39.9), respectively. Increasing age, lower education, having no spouse, poorer health perception, increasing number of comorbidities, osteoarthritis and smaller mid-arm circumference increased the risk of frailty (p < 0.001). The prevalence of geriatric frailty syndrome in this study was much higher than that of developed countries but was lower than that of less developed countries. Factors associated with frailty reflect common characteristics of disadvantaged older persons in Thailand.


2018 ◽  
Vol 32 (1-2) ◽  
pp. 14-24 ◽  
Author(s):  
E. Ntanasi ◽  
M. Yannakoulia ◽  
N. Mourtzi ◽  
G. S. Vlachos ◽  
M. H. Kosmidis ◽  
...  

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.


2016 ◽  
Vol 19 (12) ◽  
pp. 2278-2289 ◽  
Author(s):  
Rachel van der Pols-Vijlbrief ◽  
Hanneke AH Wijnhoven ◽  
Hilde Molenaar ◽  
Marjolein Visser

AbstractObjectiveIt is generally thought that causes of undernutrition are multifactorial, but there are limited quantitative studies performed. We therefore examined a wide range of potential factors associated with undernutrition in community-dwelling older adults.DesignCross-sectional study.SettingCommunity-dwelling older adults (≥65 years) receiving home care in the Netherlands.SubjectsData on potential factors associated with (risk of) undernutrition were collected among 300 older adults. Nutritional status was assessed by the SNAQ65+ instrument. Undernutrition was defined as mid-upper arm circumference <25 cm or unintentional weight loss of ≥4 kg in 6 months. Being at risk of undernutrition was defined as having poor appetite and inability to walk up and down stairs of fifteen steps, without resting.ResultsOf all participants, ninety-two (31·7 %) were undernourished and twenty-four (8·0 %) were at risk of undernutrition. Based on multivariate logistic regression analyses, the statistically significant factors associated with (risk of) undernutrition (P<0·05) were: unable to go outside (OR=5·39), intestinal problems (OR=2·88), smoking (OR=2·56), osteoporosis (OR=2·46), eating fewer than three snacks daily (OR=2·61), dependency in activities of daily living (OR=1·21), physical inactivity (OR=2·01), nausea (OR=2·50) and cancer (OR=2·84); a borderline significant factor was depression symptoms (OR=1·83, P=0·053).ConclusionsThe study suggests that (risk of) undernutrition is a multifactorial problem and that associated factors can be found in several domains. These findings may support the development of intervention trials for the prevention and treatment of undernutrition in community-dwelling older adults.


PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0142416 ◽  
Author(s):  
Sophie C. E. van Blijswijk ◽  
On Ying A. Chan ◽  
Anne H. van Houwelingen ◽  
Jacobijn Gussekloo ◽  
Wendy P. J. den Elzen ◽  
...  

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