Physical frailty prediction model for the oldest old

Sousa, Jacy Aurélia Vieira de; Lenardt, Maria Helena; Grden, Clóris Regina Blanski; Kusomota, Luciana; Dellaroza, Mara Solange Gomes; Betiolli, Susanne Elero

doi:10.1590/1518-8345.2346.3023

Cited by 22 publications

(28 citation statements)

References 32 publications

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“…That model composed of metabolic diseases, dyslipidemias, and several hospitalizations in the last 12 months with the odds ratio of 1.99, 0.32, and 2.50 respectively. [29] This study has a few limitations. First and foremost, the current study recruited participants from nine old age homes with different levels of assistance and of different environmental dimensions (infrastructure and domestic assistance) which would vary the results.…”

Section: Discussionmentioning

confidence: 94%

Risk of Frailty Prediction Among Institutionalized Older Adults

Kulal

Vaishali

Girish

2020

Preprint

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Background: Frailty is a state of the decreased physiological reserve, inability to maintain homeostasis manifested by weakness, weight loss, reduced gait speed, exhaustion, and increased vulnerability to adverse health outcomes. It is commonly associated with aging and is considered as a predictor of hospitalization, morbidity, and mortality, thereby increasing the economic burden on the nation. Early identification of people who are at risk for frailty is vital in prevention and minimizing its socio-economic consequences. Objective: To develop a prediction model for the risk of frailty among institutionalized older adults. Methods: This study adopted a case-control design, wherein older adults categorized into frail and non-frail, using Fried's criteria were considered as cases and controls respectively. Individuals above 55 years of age, who could follow instructions; without severe motor and cognitive impairment and severe terminal illness were recruited from nine conveniently selected institutions for older adults. Socio-demographic details like age, gender, BMI, marital status and duration of institutionalization; lifestyle and behavioral factors like comorbidities, history of fall, smoking, alcohol consumption status, economic dependability, depression and cognition and; physical performance factors like physical activity, functional mobility, gait speed, and grip strength were evaluated. Binary logistic regression was performed to identify the odds ratio between the independent variables and frailty and to develop a prediction model. Results: Hundred elderly were recruited and analyzed from nine different institutions. Among the fourteen identified independent variables female gender (OR=1.038), cognition (OR=1.477), smoking (OR=1.907), vegetarian diet (OR=0.016), presence of more than 3 co-morbidities (OR=8.840), gait speed (OR=0.000) and grip strength (OR=0.575) showed a statistically significant odds ratio (r 2 = 0.883) and were used for developing a prediction model for risk of frailty. Conclusion: Risk factors for frailty among institutionalized older adults have been identified and a prediction model for risk frailty has been developed. This model could be used for the early identification of frailty during community-level screening programs.

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Section: Discussionmentioning

confidence: 94%

Risk of Frailty Prediction Among Institutionalized Older Adults

Kulal

Vaishali

Girish

2020

Preprint

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“…Geriatric syndromes (GSs) are clinical conditions in elderly adults that do not fit into discrete disease categories and whose prevalence increases with age and physical frailty [ 1 ]. Although different conditions, such as incontinence, functional decline, or delirium, have been included under the heading of GSs, the concept is difficult to state [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…Although different conditions, such as incontinence, functional decline, or delirium, have been included under the heading of GSs, the concept is difficult to state [ 2 , 3 ]. An accepted definition of GSs is multifactorial health conditions that occur when the effects of impairments accumulate in multiple elderly systems [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Fall Risk Factors in an Aging Population Living in Long-Term Care Institutions in SPAIN: A Retrospective Cohort Study

Díaz¹,

Casuso-Holgado

Manzanares

et al. 2020

IJERPH

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Falls in the elderly are associated with morbidity and mortality. Research about fall risk factors in Spanish care facilities is scarce. This study aimed to assess the prevalence of falls among residents living in long-term care Spanish institutions and to identify fall risk factors in this population. A nationwide retrospective cohort study was conducted in 113 centers. Persons over 70 years old who were living in a residential setting for at least 1 year were included. Simple and multiple regression analyses were conducted to estimate the associations between the main clinical variables registered in the databases and the presence of falls. A total of 2849 subjects were analyzed (mean age 85.21 years). The period prevalence of fallers in the last 12 months was 45.3%, with a proportion of recurrent fallers of 51.7%. The presence of falls was associated with lower Tinetti Scale scores (OR = 1.597, 95% CI: 1.280, 1.991; OR = 1.362, 95% CI: 1.134, 1.635), severe or moderate cognitive impairment (OR= 1.992, 95% CI: 1.472, 2.695; OR = 1.507, 95% CI: 1.231, 1.845, respectively), and polypharmacy (OR = 1.291, 95% CI: 1.039, 1.604). Fall prevention interventions should focus on the prevention of balance and cognitive deterioration and the improvement of these functions when possible. It should also focus on a periodical medication history revision aiming to avoid inappropriate prescriptions.

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“…Therefore, care for the very elderly is extremely important, so that they have conditions to live well, with health, autonomy and quality of life, which favors the decision-making of the health team in primary care, where FHS are places aimed at preventing diseases and promoting health care actions in this population (SOUSA et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Health, Behavioral and Social Characteristics of Nonagenary and Centenary Elderly People

Kupske

Arruda²,

Silva³

et al. 2019

Int J Innov Educ Res

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The aim of the study was to describe the health, behavioral and social characteristics of nonagenarian and centenary elderly. This was a quantitative, descriptive and cross-sectional study with the participation of 41 nonagenarian and centenary elderly, of both sexes, enrolled in the Family Health Strategies. It was used a questionnaire of sociodemographic characteristics of health and falls, the Mini Mental State Examination (MMSE), International Physical Activity Questionnaire (IPAQ) and the Daily Living Activity Index developed by Katz. Data were analyzed by descriptive statistics. The results show a predominance of females (65.9%), elderly people living with relatives (48.8%), no pathologies (56.1%), and falls in the last year (53.7%). , have a good perception of their health (70.7%), have low functional capacity (66.0%), cognitive impairment (75.6%), do not use tobacco (75.7%) and are physically inactive (83.0%). The relevance of this theme requires further studies and the development of strategies in order to provide quality of life and health to the long-lived population.

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Physical frailty prediction model for the oldest old

Cited by 22 publications

References 32 publications

Risk of Frailty Prediction Among Institutionalized Older Adults

Risk of Frailty Prediction Among Institutionalized Older Adults

Analysis of Fall Risk Factors in an Aging Population Living in Long-Term Care Institutions in SPAIN: A Retrospective Cohort Study

Health, Behavioral and Social Characteristics of Nonagenary and Centenary Elderly People

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