Clinical and functional characterization of pre-frailty among elderly patients consulting primary care centres

Serra‐Prat, Mateu; Sist, X.; Saiz, A.M. Monteagudo; Jurado, Lucas; Domenich, R.; Roces, A.; Papiol, Mònica

doi:10.1007/s12603-016-0684-3

Cited by 19 publications

(12 citation statements)

References 28 publications

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“…The fact that the women in our study showed an increased risk of frailty in the bivariate analysis corroborates results from other studies reporting a higher prevalence of frailty in women in cross-sectional studies [2,18]. However, this effect disappeared when adjusted for other variables such as arthritis, depression, number of medications, physical activity, abdominal obesity and certain blood biomarkers, thereby undermining a genuine female-sex effect.…”

Section: Discussionsupporting

confidence: 89%

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Incidence and Risk Factors for Frailty in the Community-Dwelling Elderly Population. A Two-Year Follow-Up Cohort Study

Serra‐Prat¹,

Papiol²,

Vico³

et al. 2017

J Gerontol Geriatr Res

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Section: Discussionsupporting

confidence: 89%

“…We interpret the effect of arthritis to be a consequence of limited physical activity secondary to pain, a highly prevalent clinical condition in the elderly population [18] and a possible trigger of the frailty process. Depression has been reported elsewhere as a contributor to frailty [19,20].…”

Section: Discussionmentioning

confidence: 99%

Incidence and Risk Factors for Frailty in the Community-Dwelling Elderly Population. A Two-Year Follow-Up Cohort Study

Serra‐Prat¹,

Papiol²,

Vico³

et al. 2017

J Gerontol Geriatr Res

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“…Finally, in relation to the movement patterns, in our study the frail and pre-frail clearly showed the opposite profile of movement behaviors compared to robust older people, both in the whole sample and also in relation to each sex, spending more time in SB and less in LPA and MVPA than the entire sample, similarly to other previously published studies [30,45,46]. Consequently, older men and women seem to follow similar patterns related to PA and SB, even though the effect of these movement behaviors on bone health differs according to sex and frailty status.…”

Section: Discussionsupporting

confidence: 88%

The Impact of Movement Behaviors on Bone Health in Elderly with Adequate Nutritional Status: Compositional Data Analysis Depending on the Frailty Status

et al. 2019

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The aim of this study was to determine the relationship between bone mass (BM) and physical activity (PA) and sedentary behavior (SB) according to frailty status and sex using compositional data analysis. We analyzed 871 older people with an adequate nutritional status. Fried criteria were used to classify by frailty status. Time spent in SB, light intensity PA (LPA) and moderate-to-vigorous intensity PA (MVPA) was assessed from accelerometry for 7 days. BM was determined by dual-energy X-ray absorptiometry (DXA). The combined effect of PA and SB was significantly associated with BM in robust men and women (p ≤ 0.05). In relation to the other behaviors, SB was negatively associated with BM in robust men while BM was positively associated with SB and negatively with LPA and MVPA in robust women. Moreover, LPA also was positively associated with arm BM (p ≤ 0.01). Finally, in pre-frail women, BM was positively associated with MVPA. In our sample, to decrease SB could be a good strategy to improve BM in robust men. In contrast, in pre-frail women, MVPA may be an important factor to consider regarding bone health.

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“…The effect of arthritis and musculoskeletal diseases, which are more frequent in older women because of menopause-related osteoporosis, is possibly due to limited physical activity secondary to pain. A high prevalence of pain in elderly subjects and its relationship with arthritis and weakness has been reported elsewhere [25,26]. Pain may lead to low physical activity and immobility, and, consequently, to muscle atrophy and loss of muscle strength.…”

Section: Citationmentioning

confidence: 95%

Factors Associated with Poor Muscle Mass and Strength in A Community-Dwelling Elderly Population: A Cross-Sectional Study

Serra‐Prat¹,

Papiol²,

Vico³

et al. 2017

J Gerontol Geriatr Res

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IntroductionA progressive loss of muscle mass occurs from approximately 40 years of age. This loss has been estimated at about 8% per decade until the age of 70 years, after which the loss increases to 15% per decade [1]. Loss of muscle mass accompanied by loss of muscle strength or function is known as sarcopenia [2], a devastating geriatric syndrome leading to frailty, functional decline, disability, falls and even death [3,4]. Muscle mass and function, the main components of the frailty phenotype proposed by Fried [5], are a main determinant of physical performance and quality of life. The pathophysiology of muscle wasting in the older population is multifactorial and not completely understood [6]. Poor physical exercise and poor nutritional status are considered to be the main risk factors for sarcopenia. Other factors such as an imbalance between anabolic and catabolic hormones [7], metabolic disorders and insulin resistance [8] and chronic proinflammatory states have been associated with muscle wasting [9]. However, the specific role of each of these factors in the development of sarcopenia is not well known. Moreover, gender differences exist not only in body composition, muscle mass and strength but also in the prevalence of frailty and disability [10]. Older women are more prone to experiencing accelerated functional decline, and although they live longer than men they usually have a poorer quality of life [11]. These data would suggest that the pathophysiology of sarcopenia and frailty and the role of the above-mentioned risk factors may differ in men and women. A profound knowledge of the mechanisms involved in muscle wasting and sarcopenia is essential to the design of effective preventive measures to reduce both incidence and consequences. We hypothesize that low physical activity, obesity, inflammation and hormonal misbalances are associated with low muscle mass and strength. The aim of this study was to assess the main factors associated with poor muscle mass and strength in a community-dwelling elderly population and to assess differences by sex. Methods Study design and populationAn observational cross-sectional study was performed of community-dwelling adults aged 75 years and older. A sample was randomly selected from the database of 3 primary care centres in the municipalities of Mataró and Argentona (Barcelona, Spain). Individuals were excluded if they had active malignancy, dementia or serious mental illness, had a life expectancy of less than 6 months, were in a palliative care programme or were institutionalized. Persons who fulfilled all selection criteria and who signed the informed consent form were recruited from January to July 2014. The local ethics committee approved the study protocol (code 64/13). Details of the study design have been previously published [12]. AbstractBackground: The pathophysiology of muscle wasting in the elderly is multifactorial and not fully understood.

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Clinical and functional characterization of pre-frailty among elderly patients consulting primary care centres

Abstract: Pre-frailty is very common among elderly subjects consulting primary care centres. Weakness, slowness, diabetes, pain and polypharmacy should alert healthcare professionals to the onset of a frailty process.

Cited by 19 publications

References 28 publications

Incidence and Risk Factors for Frailty in the Community-Dwelling Elderly Population. A Two-Year Follow-Up Cohort Study

Incidence and Risk Factors for Frailty in the Community-Dwelling Elderly Population. A Two-Year Follow-Up Cohort Study

The Impact of Movement Behaviors on Bone Health in Elderly with Adequate Nutritional Status: Compositional Data Analysis Depending on the Frailty Status

Factors Associated with Poor Muscle Mass and Strength in A Community-Dwelling Elderly Population: A Cross-Sectional Study

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