Prevalence of Frailty in Older Men and Women: Cross-Sectional Data from the Geelong Osteoporosis Study

Tembo, Monica C.; Holloway‐Kew, Kara L; Sui, Sophia X.; Dunning, Trisha; Yong, Shi-Jynn; Ng, Boon Lung; Brennan-Olsen, Sharon; Williams, Lana J.; Kotowicz, Mark A.; Pasco, Julie A.

doi:10.1007/s00223-020-00713-3

Cited by 13 publications

(14 citation statements)

References 46 publications

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“…With the progressive age, the prevalence of frailty increases [ 1 – 3 ]. Frailty, a clinical syndrome that affects multiple physiological systems, is associated with a diminished functional reserve and an increased vulnerability to adverse events such as falls and fractures [ 4 ], as well as minor stressors such as colds [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

The contribution of musculoskeletal factors to physical frailty: a cross-sectional study

Tembo

Mohebbi

Holloway‐Kew

et al. 2021

BMC Musculoskelet Disord

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Background Musculoskeletal conditions and physical frailty have overlapping constructs. We aimed to quantify individual contributions of musculoskeletal factors to frailty. Methods Participants included 347 men and 360 women aged ≥60 yr (median ages; 70.8 (66.1–78.6) and 71.0 (65.2–77.5), respectively) from the Geelong Osteoporosis Study. Frailty was defined as ≥3, pre-frail 1–2, and robust 0, of the following; unintentional weight loss, weakness, low physical activity, exhaustion, and slowness. Measures were made of femoral neck BMD, appendicular lean mass index (ALMI, kg/m2) and whole-body fat mass index (FMI, kg/m2) by DXA (Lunar), SOS, BUA and SI at the calcaneus (Lunar Achilles Insight) and handgrip strength by dynamometers. Binary and ordinal logistic regression models and AUROC curves were used to quantify the contribution of musculoskeletal parameters to frailty. Potential confounders included anthropometry, smoking, alcohol, prior fracture, FMI, SES and comorbidities. Results Overall, 54(15.6%) men and 62(17.2%) women were frail. In adjusted-binary logistic models, SI, ALMI and HGS were associated with frailty in men (OR = 0.73, 95%CI 0.53–1.01; OR=0.48, 0.34–0.68; and OR = 0.11, 0.06–0.22; respectively). Muscle measures (ALMI and HGS) contributed more to this association than did bone (SI) (AUROCs 0.77, 0.85 vs 0.71, respectively). In women, only HGS was associated with frailty in adjusted models (OR = 0.30 95%CI 0.20–0.45, AUROC = 0.83). In adjusted ordinal models, similar results were observed in men; for women, HGS and ALMI were associated with frailty (ordered OR = 0.30 95%CI 0.20–0.45; OR = 0.56, 0.40–0.80, respectively). Conclusion Muscle deficits appeared to contribute more than bone deficits to frailty. This may have implications for identifying potential musculoskeletal targets for preventing or managing the progression of frailty.

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Section: Introductionmentioning

confidence: 99%

The contribution of musculoskeletal factors to physical frailty: a cross-sectional study

Tembo

Mohebbi

Holloway‐Kew

et al. 2021

BMC Musculoskelet Disord

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“…According to Fried’s phenotype, frailty is the presence of ≥3 of 5 criteria: unintentional weight loss of ≥10 lbs (approximately 4.5 kg) in the preceding year; weak handgrip strength; slow walking speed; self-reported exhaustion; low physical activity[ 1 ]. In this study, unintentional weight loss, low physical activity and exhaustion were self-reported[ 28 ].…”

Section: Methodsmentioning

confidence: 99%

“…A validated physical activity questionnaire for the elderly was used[ 25 , 28 ]. Participants were asked to report habitual physical activities performed in the preceding year.…”

Section: Methodsmentioning

confidence: 99%

“…The Australian Bureau of Statistics (ABS) Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) was used to determine area-based SES of participants. Socio-economic Indexes for Areas (SEIFA) values using 2011 ABS census data were determined using ABS software (these rank areas in Australia according to relative socioeconomic advantage and disadvantage), which were ranked in quintiles 25,28 . The Frailty associations with socioeconomic status, healthcare utilisation and quality of life among older women residing in regional Australia quintiles were further collapsed into three groupings of most disadvantaged (quintiles 1 and 2), intermediate (quintile 3) and most advantaged (quintiles 4 and 5).…”

Section: Ses Measuresmentioning

confidence: 99%

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Frailty associations with socioeconomic status, healthcare utilisation and quality of life among older women residing in regional Australia

Yong¹,

Gwini²,

Tembo³

et al. 2021

JFSF

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It is well recognised that older women live longer lives and are at increased risk of frailty as they age 1,2 . The health and well-being of older women may be influenced by frailty and their SES in life 1,3,4 .Frailty is regarded as a multi-dimensional concept that encompasses physical, psychological and social frailty 3 . Through a complex interplay of factors, frailty can increase the risk of adverse health outcomes such as falls, disability, hospitalisation and death 3,5 . The increased burden of multiple diseases, medical conditions and functional impairment with frailty also raises important implications for healthcare utilisation and costs 3,6 .

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“…Prevalence of frailty and pre-frailty among ANZ community-dwelling older adults is estimated to be between 2–29% and 41–54%, respectively [ 16 , 39 , 40 , 41 , 42 , 43 , 44 ] ( Table S1 ). Frailty rates appear higher among Australian women (18–29%) than men (6–21%).…”

Section: Prevalence Of Malnutrition Frailty and Sarcopeniamentioning

confidence: 99%

Identifying and Managing Malnutrition, Frailty and Sarcopenia in the Community: A Narrative Review

2021

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Malnutrition, frailty and sarcopenia are becoming increasingly prevalent among community-dwelling older adults; yet are often unidentified and untreated in community settings. There is an urgent need for community-based healthcare professionals (HCPs) from all disciplines, including medicine, nursing and allied health, to be aware of, and to be able to recognise and appropriately manage these conditions. This paper provides a comprehensive overview of malnutrition, frailty and sarcopenia in the community, including their definitions, prevalence, impacts and causes/risk factors; and guidance on how these conditions may be identified and managed by HCPs in the community. A detailed description of the care process, including screening and referral, assessment and diagnosis, intervention, and monitoring and evaluation, relevant to the community context, is also provided. Further research exploring the barriers/enablers to delivering high-quality nutrition care to older community-dwelling adults who are malnourished, frail or sarcopenic is recommended, to inform the development of specific guidance for HCPs in identifying and managing these conditions in the community.

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Prevalence of Frailty in Older Men and Women: Cross-Sectional Data from the Geelong Osteoporosis Study

Cited by 13 publications

References 46 publications

The contribution of musculoskeletal factors to physical frailty: a cross-sectional study

The contribution of musculoskeletal factors to physical frailty: a cross-sectional study

Frailty associations with socioeconomic status, healthcare utilisation and quality of life among older women residing in regional Australia

Identifying and Managing Malnutrition, Frailty and Sarcopenia in the Community: A Narrative Review

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