The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
A Frailty Instrument for primary care: findings from the Survey of Health, Ageing and Retirement in Europe (SHARE)
Open accessAbstract
BACKGROUND: A frailty paradigm would be useful in primary care to identify older people at risk, but appropriate metrics at that level are lacking. We created and validated a simple instrument for frailty screening in Europeans aged ≥50. Our study is based on the first wave of the Survey of Health, Ageing and Retirement in Europe (SHARE, http://www.share-project.org), a large population-based survey conducted in 2004-2005 in twelve European countries. SUBJECTS: SHARE Wave 1 respondents (17,304 females and 13,811 males). MEASURES: five SHARE variables approximating Fried's frailty definition. Analyses (for each gender): 1) estimation of a discreet factor (DFactor) model based on the frailty variables using LatentGOLD. A single DFactor with three ordered levels or latent classes (i.e. non-frail, pre-frail and frail) was modelled; 2) the latent classes were characterised against a biopsychosocial range of Wave 1 variables; 3) the prospective mortality risk (unadjusted and age-adjusted) for each frailty class was established on those subjects with known mortality status at Wave 2 (2007-2008) (11,384 females and 9,163 males); 4) two web-based calculators were created for easy retrieval of a subject's frailty class given any five measurements. RESULTS: Females: the DFactor model included 15,578 cases (standard R2 = 0.61). All five frailty indicators discriminated well (p < 0.001) between the three classes: non-frail (N = 10,420; 66.9%), pre-frail (N = 4,025; 25.8%), and frail (N = 1,133; 7.3%). Relative to the non-frail class, the age-adjusted Odds Ratio (with 95% Confidence Interval) for mortality at Wave 2 was 2.1 (1.4 - 3.0) in the pre-frail and 4.8 (3.1 - 7.4) in the frail. Males: 12,783 cases (standard R2 = 0.61, all frailty indicators had p < 0.001): non-frail (N = 10,517; 82.3%), pre-frail (N = 1,871; 14.6%), and frail (N = 395; 3.1%); age-adjusted OR (95% CI) for mortality: 3.0 (2.3 - 4.0) in the pre-frail, 6.9 (4.7 - 10.2) in the frail. CONCLUSIONS: The SHARE Frailty Instrument has sufficient construct and predictive validity, and is readily and freely accessible via web calculators. To our knowledge, SHARE-FI represents the first European research effort towards a common frailty language at the community level.
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Statistical Power Analysis for the Behavioral Sciences
Muller, K. (1989) · Technometrics · doi:10.1080/00401706.1989.10488618 · Cited by 99,167
Statistical power analysis for the behavioral sciences
(1990) · Computers, Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,269
Frailty in Older Adults: Evidence for a Phenotype
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.3.m146 · Cited by 24,907
A comparison of two approaches to measuring frailty in elderly people
Rockwood, K., Andrew, M., & Mitnitski, A. (2007) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/62.7.738 · Cited by 1,291
Phenotype of frailty: characterization in the women's health and aging studies
Bandeen-Roche, K., Xue, Q.-L., Ferrucci, L., Walston, J., Guralnik, J. M., Chaves, P., Zeger, S. L., & Fried, L. P. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.3.262 · Cited by 1,215
Frailty: An Emerging Research and Clinical Paradigm--Issues and Controversies
Bergman, H., Ferrucci, L., Guralnik, J., Hogan, D. B., Hummel, S., Karunananthan, S., & Wolfson, C. (2007) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/62.7.731 · Cited by 1,134
The I.A.N.A. task force on frailty assessment of older people in clinical practice
Van Kan, G. A., Rolland, Y., Bergman, H., Morley, J. E., Kritchevsky, S. B., & Vellas, B. (2008) · The Journal of nutrition, health and aging · doi:10.1007/bf02982161 · Cited by 1,099
Ensrud, K. E. (2008) · Archives of Internal Medicine · doi:10.1001/archinternmed.2007.113 · Cited by 975
Prevalence of Frailty in Middle-Aged and Older Community-Dwelling Europeans Living in 10 Countries
Santos-Eggimann, B., Cuenoud, P., Spagnoli, J., & Junod, J. (2009) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glp012 · Cited by 963
Prince, M. J., Reischies, F., Beekman, A. T. F., Fuhrer, R., Jonker, C., Kivela, S. L., Lawlor, B. A., Lobo, A., Magnusson, H., Fichter, M., et al. (1999) · British Journal of Psychiatry · doi:10.1192/bjp.174.4.330 · Cited by 885
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Steffel, J., Verhamme, P., Potpara, T. S., Albaladejo, P., Antz, M., Desteghe, L., Haeusler, K. G., Oldgren, J., Reinecke, H., Roldan-Schilling, V., et al. (2018) · European Heart Journal · doi:10.1093/eurheartj/ehy136 · Cited by 2,123
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Metadata
- Authors
- Romero-Ortuno, R., Walsh, C. D., Lawlor, B. A., & Kenny, R. A.
- Venue
- BMC Geriatrics
- Published
- 2010-08-24
- Volume
- 10
- Issue
- 1
- Pages
- 57-57
- ISSN
- 1471-2318 (ISSN-L)
- OpenAlex
- W2136239977
- Cited by
- 494
- References
- 29
- FWCI
- 6.36
- Type
- journal article
- Language
- en
- Open access
- gold
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