Associations between the SHARE frailty phenotype and common frailty characteristics: evidence from a large Danish population study

Katja Kemp Jacobsen, Randi Jepsen, Maurice A Lembeck, Charlotte Nilsson, Ellen Holm, Katja Kemp Jacobsen, Randi Jepsen, Maurice A Lembeck, Charlotte Nilsson, Ellen Holm

Abstract

Objectives: Frailty is a major clinical geriatric syndrome associated with serious adverse events including functional disability, falls, hospitalisation, increased morbidity and mortality. The aim of this study was to study associations between a frailty phenotype and frailty characteristics well known from the literature.

Design: Registry-based cross-sectional study.

Setting: The target population consists of inhabitants above the age of 50 living in the Danish municipalities of Lolland and Guldborgsund. Excluded are incapacitated people, inhabitants unable to understand Danish or English and inhabitants without a permanent residence.

Participants: 7327 individuals aged 50+ years were included.

Outcome measures: We examined associations between the frailty measurement and factors known to be associated with frailty: sex, age, income insufficiency, education, comorbidity, self-assessed health, morbidity and mortality.

Results: 7327 individuals aged 50+ years were included. Of these, 6.5% had ≥3 frailty components (frail), 46.7% had 1-2 components (prefrail) and 46.9% had none (non-frail). Those who were frail were older and more likely female than those who were non-frail or prefrail. There was a stepwise decrease in educational level, and in self-assessed health with increasing frailty status, and a stepwise increase in difficulty in making ends meet, number of hospital contacts and mortality with increasing frailty status, p<0.0001 for each comparison. Compared with individuals who were non-frail, mortality was higher among those who were prefrail (HR: 2.90; 95% CI: 1.30 to 6.43) or frail (HR: 8.21; 95% CI: 3.37 to 20.0).

Conclusions: Based on these findings, we consider the Lolland-Falster Health Study frailty assessment a valid instrument demonstrating the same characteristics as other validated frailty measures concerning associations with sex, age, income insufficiency, education, comorbidity, self-assessed health, morbidity and mortality.

Trial registration number: NCT02482896.

Keywords: frailty; healthy ageing; physical functional performance.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Venn diagram displaying extent of overlap of frailty with multimorbidity (≥2 chronic diseases) in the Lolland-Falster Health Study. Total represented by 2674 individuals with frailty and/or multimorbidity. Percentages are percentages of individuals with frailty (n=476). Frailty is based on the criteria characterising the frailty phenotype described by Fried et al.

References

    1. Clegg A, Young J, Iliffe S, et al. . Frailty in elderly people. Lancet 2013;381:752–62. 10.1016/S0140-6736(12)62167-9
    1. Fried LP, Tangen CM, Walston J, et al. . Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001;56:M146–56. 10.1093/gerona/56.3.M146
    1. Mitnitski AB, Mogilner AJ, Rockwood K. Accumulation of deficits as a proxy measure of aging. ScientificWorldJournal 2001;1:323–36. 10.1100/tsw.2001.58
    1. Xue Q-L, Bandeen-Roche K, Varadhan R, et al. . Initial manifestations of frailty criteria and the development of frailty phenotype in the women's health and aging study II. J Gerontol A Biol Sci Med Sci 2008;63:984–90. 10.1093/gerona/63.9.984
    1. Fried LP, Xue Q-L, Cappola AR, et al. . Nonlinear multisystem physiological dysregulation associated with frailty in older women: implications for etiology and treatment. J Gerontol A Biol Sci Med Sci 2009;64:1049–57. 10.1093/gerona/glp076
    1. Szanton SL, Allen JK, Seplaki CL, et al. . Allostatic load and frailty in the women's health and aging studies. Biol Res Nurs 2009;10:248–56. 10.1177/1099800408323452
    1. Bandeen-Roche K, Xue Q-L, Ferrucci L, et al. . Phenotype of frailty: characterization in the women's health and aging studies. J Gerontol A Biol Sci Med Sci 2006;61:262–6. 10.1093/gerona/61.3.262
    1. Santos-Eggimann B, Cuénoud P, Spagnoli J, et al. . Prevalence of frailty in middle-aged and older community-dwelling Europeans living in 10 countries. J Gerontol A Biol Sci Med Sci 2009;64:675–81. 10.1093/gerona/glp012
    1. Romero-Ortuno R, Walsh CD, Lawlor BA, et al. . A frailty instrument for primary care: findings from the survey of health, ageing and retirement in Europe (share). BMC Geriatr 2010;10:57 10.1186/1471-2318-10-57
    1. Macklai NS, Spagnoli J, Junod J, et al. . Prospective association of the SHARE-operationalized frailty phenotype with adverse health outcomes: evidence from 60+ community-dwelling Europeans living in 11 countries. BMC Geriatr 2013;13:3 10.1186/1471-2318-13-3
    1. Börsch-Supan A, Jürges H. The Survey of Health, Aging, and Retirement in Europe - Methology. Mannheim Research Institute for the Economics of Aging, Mannheim University, 2005.
    1. Jepsen R, Egholm CL, Brodersen J, et al. . Lolland-Falster health study: study protocol for a household-based prospective cohort study. Scand J Public Health 2018:1403494818799613 10.1177/1403494818799613
    1. Collard RM, Boter H, Schoevers RA, et al. . Prevalence of frailty in community-dwelling older persons: a systematic review. J Am Geriatr Soc 2012;60:1487–92. 10.1111/j.1532-5415.2012.04054.x
    1. Chang S-F, Lin H-C, Cheng C-L. The Relationship of Frailty and Hospitalization Among Older People: Evidence From a Meta-Analysis. J Nurs Scholarsh 2018;50:383–91. 10.1111/jnu.12397
    1. Chang S-F, Lin P-L. Frail phenotype and mortality prediction: a systematic review and meta-analysis of prospective cohort studies. Int J Nurs Stud 2015;52:1362–74. 10.1016/j.ijnurstu.2015.04.005
    1. Romero-Ortuno R. Frailty index in Europeans: association with determinants of health. Geriatr Gerontol Int 2014;14:420–9. 10.1111/ggi.12122
    1. Schmidt M, Pedersen L, Sørensen HT. The Danish civil registration system as a tool in epidemiology. Eur J Epidemiol 2014;29:541–9. 10.1007/s10654-014-9930-3
    1. Lynge E, Sandegaard JL, Rebolj M. The Danish national patient register. Scand J Public Health 2011;39:30–3. 10.1177/1403494811401482
    1. Avlund K, Lund R, Holstein BE, et al. . Social relations as determinant of onset of disability in aging. Arch Gerontol Geriatr 2004;38:85–99. 10.1016/j.archger.2003.08.003
    1. Christensen U, Lund R, Damsgaard MT, et al. . Cynical hostility, socioeconomic position, health behaviors, and symptom load: a cross-sectional analysis in a Danish population-based study. Psychosom Med 2004;66:572–7. 10.1097/01.psy.0000126206.35683.d1
    1. Romero-Ortuno R. The frailty instrument of the survey of health, ageing and retirement in Europe (SHARE-FI) predicts mortality beyond age, comorbidities, disability, self-rated health, education and depression. Eur Geriatr Med 2011;2:323–6. 10.1016/j.eurger.2011.08.005
    1. Romero-Ortuno R. The frailty instrument for primary care of the survey of health, ageing and retirement in Europe predicts mortality similarly to a frailty index based on comprehensive geriatric assessment. Geriatr Gerontol Int 2013;13:497–504. 10.1111/j.1447-0594.2012.00948.x
    1. Romero-Ortuno R, O'Shea D, Kenny RA. The share frailty instrument for primary care predicts incident disability in a European population-based sample. Qual Prim Care 2011;19:301–9.
    1. Brown DM, Picciotto S, Costello S, et al. . The healthy worker survivor effect: target parameters and target populations. Curr Environ Health Rep 2017;4:364–72. 10.1007/s40572-017-0156-x
    1. Orme JG, Reis J, Herz EJ. Factorial and discriminant validity of the center for epidemiological studies depression (CES-D) scale. J Clin Psychol 1986;42:28–33. 10.1002/1097-4679(198601)42:1<28::AID-JCLP2270420104>;2-T
    1. Alonso Bouzón C, Carnicero JA, Turín JG, et al. . The standardization of frailty phenotype criteria improves its predictive ability: the Toledo study for healthy aging. J Am Med Dir Assoc 2017;18:402–8. 10.1016/j.jamda.2016.11.003
    1. Thygesen LC, Daasnes C, Thaulow I, et al. . Introduction to Danish (nationwide) registers on health and social issues: structure, access, legislation, and archiving. Scand J Public Health 2011;39:12–16. 10.1177/1403494811399956

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