Prevalence of frailty and associated socio-demographic factors among community-dwelling older people in southwestern Iran: a cross-sectional study

Delbari, Ahmad; Zanjari, Nasibeh; Momtaz, Yadollah Abolfathi; Rahim, Fakher; Saeidimehr, Saeid

doi:10.1007/s40200-021-00787-2

Cited by 18 publications

(10 citation statements)

References 54 publications

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“…shows that only the age predictor variable has a statistically significant effect on the occurrence of frailty and, indeed, the frequency of frail older adults significantly increases with age. This result was supported by other studies [ 29 , 54 , 55 ]. We know that frailty risk increases in association with age, which could be due to the biological rather than the chronological age of individuals.…”

Section: Discussionsupporting

confidence: 91%

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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Section: Discussionsupporting

confidence: 91%

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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“…Therefore, the assessment and frailty criteria in the Barbosa et al [5] study differed significantly from this present study. Similarly, the prevalence of frailty among our study participants was significantly higher compared to community‐dwelling older people in previous studies [30–33]. This high degree of variation reflects diverse study populations representing actual variation in frailty prevalence and varying measurement tools.…”

Section: Discussionsupporting

confidence: 50%

Prevalence and risk factors of frailty among older family caregivers

Kiljunen

Välimäki

Savela

et al. 2023

Scandinavian Caring Sciences

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AimThe aim of this study was to investigate the prevalence of frailty and identify the demographical and clinical factors associated with frailty among older family caregivers.MethodThe participants of this cross‐sectional study were older family caregivers (n = 125) living in Eastern Finland. Data on functional and cognitive status, depressive symptoms, nutritional status, medication, chronic diseases, stroke, and oral health were obtained. The Mini Nutritional Assessment (MNA) was used to evaluate nutritional status. Frailty status was evaluated using the abbreviated comprehensive geriatric assessment (aCGA) scale.ResultsSeventy‐three percent of caregivers were identified as frail. According to multivariable logistic regression, cataract, glaucoma, or macular degeneration and the MNA score were predictors of frailty. After adjusting for age, gender, and number of own teeth, the MNA score remained a significant predictor of frailty (adjusted OR = 1.22, 95% CI = 1.06, 1.41). As the MNA scores decreased (meaning poorer nutritional status), the risk of frailty increased.ConclusionsThe present study showed that frailty is prevalent among older family caregivers. Recognising older family caregivers with frailty or at risk of frailty is vital. It is essential to acknowledge vision problems' role in frailty and to monitor and support the nutritional status of family caregivers regularly to prevent frailty development.

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“…Old age represents a transitional period where older adults meet changes in physical health and social roles; these transitional changes are signi cant (Sun et al, 2021).resulting insigni cant adverse outcomes including frailty development (Delbari, Zanjari, Momtaz, Rahim, &Saeidimehr, 2021).Frailty in older adults is known to be reversible condition and considered a strong, common and independent predictor of disability characterized by physical, social, psychological, and economical aspects. Despite, frailty is a lifelong condition; it is not an inevitable consequence from the process of aging (Galluzzoet al, 2022&Hazuda et al, 2021.…”

Section: Introductionmentioning

confidence: 99%

Frailty among Community Dwelling Older Adults: Prevalence and Associated Factors

Ali¹,

AbdElhameed²,

Mohamed³

2023

Preprint

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Background: Frailty is an important and a highly prevalent health problem in older adults that has a negative impact on health related outcomes. The importance of studying frailty comes from the fact that its merely associated with aging but not an inevitable process. Aim: To assess prevalence of frailty and its associated factors among community-dwelling older adults. Method: A community based cross sectional study was used withcluster sampling technique targeted 300 older adults in six urban and rural regions affiliated to Dakahlia governorate. Data was collected using, Mini-mental State Examination, demographic and health-related data structured interview questionnaire, Katz and Akpom scale, Lawton and Brody scale, the Mini Nutritional Asses sment questionnaire and Frailty was measured using survey of health, and aging, and retirement in Europe of the frailty indicator. Results: Prevalence of frailty was 64.7% among the studied older adults, and only 5.3% were non frail. Age, current work, comorbidity, polypharmavy, IADL, and malnutrition were significant independent predictors for frailty (β 0.136, -0.148, 0.117, 0.118, -0.209, and 0.401 respectively), p < 0.05 for all, and responsible for 72.4% of frailty (R2 = .724). Conclusion: It can be concluded that frailty was highly prevalent in community-dwellers in Egypt urban and rural regions. Risk factors of frailty include female gender, widohood, illiteracy, living arrangements, previous hospitalization, drug compliance, periodic checkup, engagement into social practices, and smoking. Moreover Older adults' age, work status, income, comorbidities, polypharmacy, functional status, and nutritional status were found as the main factors associated with frailty. Recommendations: Assessment of associated risk factors of frailty in older adults should be done through community-based healthcare programs for early diagnosis and management.

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Prevalence of frailty and associated socio-demographic factors among community-dwelling older people in southwestern Iran: a cross-sectional study

Cited by 18 publications

References 54 publications

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

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

Prevalence and risk factors of frailty among older family caregivers

Frailty among Community Dwelling Older Adults: Prevalence and Associated Factors

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