Adaptation and reliability testing of the SHARE-FI instrument for the assessment of risk of frailty syndrome among older Polish patients

Muszalik, Marta; Borowiak, Ewa; Kotarba, Agnieszka; Puto, Grażyna; Doroszkiewicz, Halina; Kędziora–Kornatowska, Kornelia

doi:10.5114/fmpcr.2018.73702

Cited by 9 publications

(12 citation statements)

References 30 publications

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“…The results of this study showed that the Polish version of SHARE-FI has high internal consistency and reliability coefficients and can be recommended for screening among 60+ older adults in primary care and hospital settings. In the study, Cronbach’s alpha coefficient was 0.79 19…”

Section: Methodsmentioning

confidence: 86%

<p>Assessment of the relationship between frailty syndrome and the nutritional status of older patients</p>

Muszalik¹,

Gurtowski²,

Doroszkiewicz³

et al. 2019

CIA

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Objective: The aim of this study was to assess the relationship between frailty syndrome and the nutritional status of older patients. Material and methods: This cross-sectional study was conducted in a sample of 120 patients hospitalized at the Geriatric Clinic between January 2017 and May 2017. The research tools were the Frailty Instrument of the Survey of Health, Ageing and Retirement in Europe (SHARE-FI), including relevant anthropometric measurements and muscle strength measurement, and the Mini Nutritional Assessment (MNA). All the calculations were performed using the Statistica 10.0 program. The p -values lower than 0.05 were considered as statistically significant. Results: The mean age of the participants was 71 years (SD=9.03). Most participants were from urban areas. More than half of the participants (53.3%) were women. Based on the SHARE-FI, the frailty syndrome was found in 33.3% of the participants. The mean value in the MNA scale was 24.4 points (SD=3.4). The frailty syndrome was significantly correlated to gender ( p <0.025), financial status ( p =0.036) and MNA ( p <0.01) score. A statistically significant difference was observed between gender ( p =0.026), financial status ( p =0.016), place of living ( p =0.046) and MNA score. Conclusion: This study confirmed significant correlations between the frailty syndrome and the nutritional status of older adults. In terms of prevention and clinical application, it seems important to control the nutritional status of older people and the frailty syndrome. The above-mentioned scales should be used to evaluate patients, analyze the risk and plan the intervention for that group of patients.

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Section: Methodsmentioning

confidence: 86%

<p>Assessment of the relationship between frailty syndrome and the nutritional status of older patients</p>

Muszalik¹,

Gurtowski²,

Doroszkiewicz³

et al. 2019

CIA

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“…Frailty syndrome was assessed using the Frailty Instrument of the Survey of Health, Aging and Retirement in Europe (SHARE-FI), which is recommended as a screening test in primary health care and hospital care in people over 60 years of age of both sexes ( 3 , 21 ). Translation and validation procedure of the Polish version of the SHARE-FI was completed by Muszalik ( 22 ). The questions included in the SHARE-FI concern the following areas: the subject's gender, subjective feeling of exhaustion, loss of appetite, difficulty in walking upstairs, reduction in physical activity, and assessment of handgrip strength (measured with a manual hydraulic dynamometer SAEHAN SH501) ( 22 , 23 ).…”

Section: Methodsmentioning

confidence: 99%

“…Translation and validation procedure of the Polish version of the SHARE-FI was completed by Muszalik ( 22 ). The questions included in the SHARE-FI concern the following areas: the subject's gender, subjective feeling of exhaustion, loss of appetite, difficulty in walking upstairs, reduction in physical activity, and assessment of handgrip strength (measured with a manual hydraulic dynamometer SAEHAN SH501) ( 22 , 23 ). The obtained numerical values calculated with the use of the SHARE-FI virtual calculator allow the subject to be classified into one of the three groups: non-frail, pre-frail and frail ( 23 ).…”

Section: Methodsmentioning

confidence: 99%

Socio-Demographic, Clinical and Psychological Profile of Frailty Patients Living in the Home Environment and Nursing Homes: A Cross-Sectional Study

et al. 2021

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Introduction: Frailty syndrome, as a physiological syndrome, is characterized by a gradual decline in physiological reserve and a lowered resistance to stress-inducing factors, leading to an increased risk of adverse outcomes. It is significantly connected with dependence on care and frequent hospitalizations.Objectives: The aim of the study was to describe socio-demographic, clinical and psychological profile of frailty older adults living in their own homes and to nursing homes.Methods: The study was conducted with 180 patients who were over 60 years of age, the mean (±SD) was 74.1 (±8.8) years. Among the subjects, 90 individuals were community-dwelling older adults. The survey used a list of socio-demographic questions, as well as the following scales: Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS), SHARE-FI, and The World Health Organization Quality of Life (WHOQOL-Bref).Results: Pre-frailty was confirmed in 49 (27.2%) patients, and frailty syndrome was noticed in 47 patients (26.1%). The prevalence of frailty syndrome in the study group was related to: place of living (p < 0.001), age (p < 0.001), widowhood (p < 0.001), a poor economic situation (p < 0.001), basic education level (p < 0.001), living alone (p < 0.001), longer duration of illness (p < 0.001), comorbidities (p < 0.001), more medications taken (p < 0.001), deterioration of hearing (p = 0.003), impairment of cognitive functions (p < 0.001), depression (p < 0.001), and decreased quality of life (p < 0.001).Discussion: A lot of socio-demographic and medical factors, particularly cognitive and mental functioning were connected with the prevalence and progression of frailty syndrome in the study group. Quality of life was significantly dependent on the presence of frailty syndrome, both in homes and in nursing homes.

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“…Frailty syndrome was assessed using the Survey of Health, Aging, and Retirement in Europe SHARE-FI, which is recommended as a screening test in primary health care and hospital care in people over 60 years of age of both sexes [ 5 ]. The translation and validation procedure of the Polish version of the SHARE-FI was completed by M. Muszalik et al The results of Cronbach’s alpha reliability coefficients of the SHARE-FI instrument ranged from 0.73 to 0.83, and the corrected item-total correlation ranged from 0.11 to 0.91 [ 35 ]. The questions included in the SHARE-FI concern the following areas: the subject’s gender, subjective feeling of exhaustion, loss of appetite, difficulty in walking upstairs, limitation in physical activity, and assessment of handgrip strength (measured with a manual hydraulic dynamometer SAEHAN SH501).…”

Section: Methodsmentioning

confidence: 99%

Implications of the Metabolic Control of Diabetes in Patients with Frailty Syndrome

Muszalik

Stępień

Puto

et al. 2022

IJERPH

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Introduction: Frailty syndrome occurs more frequently in patients with diabetes than in the general population. The reasons for this more frequent occurrence and the interdependence of the two conditions are not well understood. To date, there is no fully effective method for the diagnosis, prevention, and monitoring of frailty syndrome. This study aimed to assess the degree of metabolic control of diabetes in patients with frailty syndrome and to determine the impact of frailty on the course of diabetes using a retrospective analysis. Materials and Methods: A total of 103 individuals aged 60+ with diabetes were studied. The study population included 65 women (63.1%) and 38 men (36.9%). The mean age was 72.96 years (SD 7.55). The study was conducted in the practice of a general practitioner in Wielkopolska in 2018–2019. The research instrument was the authors’ original medical history questionnaire. The questions of the questionnaire were related to age, education, and sociodemographic situation of the respondents, as well as their dietary habits, health status, and use of stimulants. Other instruments used were: the Mini-Mental State Examination (MMSE), Lawton Scale (IADL—Instrumental Activities of Daily Living), Katz Scale (ADL—Activities of Daily Living), Geriatric Depression Rating Scale (GDS), and SHARE-FI scale (Survey of Health, Aging, and Retirement in Europe). Anthropometric and biochemical tests were performed. Results: In the study, frailty syndrome was diagnosed using the SHARE-FI scale in 26 individuals (25%): 32 (31.1%) were pre-frailty and 45 (43.7%) represented a non-frailty group. Statistical analysis revealed that elevated HbA1c levels were associated with a statistically significant risk of developing frailty syndrome (p = 0.048). In addition, the co-occurrence of diabetes and frailty syndrome was found to be a risk factor for loss of functional capacity or limitation in older adults (p = 0.00) and was associated with the risk of developing depression (p < 0.001) and cognitive impairment (p < 0.001). Conclusions: Concerning metabolic control of diabetes, higher HbA1c levels in the elderly are a predictive factor for the development of frailty syndrome. No statistical significance was found for the other parameters of metabolic control in diabetes. People with frailty syndrome scored significantly higher on the Geriatric Depression Rating Scale and lower on the MMSE cognitive rating scale than the comparison group. This suggests that frailty is a predictive factor for depression and cognitive impairment. Patients with frailty and diabetes have significantly lower scores on the Basic Activities of Daily Living Rating Scale and the Complex Activities of Daily Living Rating Scale, which are associated with loss or limitation of functioning. Frailty syndrome is a predictive factor for loss of functional capacity in the elderly.

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Adaptation and reliability testing of the SHARE-FI instrument for the assessment of risk of frailty syndrome among older Polish patients

Cited by 9 publications

References 30 publications

<p>Assessment of the relationship between frailty syndrome and the nutritional status of older patients</p>

<p>Assessment of the relationship between frailty syndrome and the nutritional status of older patients</p>

Socio-Demographic, Clinical and Psychological Profile of Frailty Patients Living in the Home Environment and Nursing Homes: A Cross-Sectional Study

Implications of the Metabolic Control of Diabetes in Patients with Frailty Syndrome

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