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The online version of this article (https://doi.org/10.1007/s11136-018-2077-z) contains supplementary material, which is available to authorized users.
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The 36-item Medical Outcome Study Short Form (SF-36) survey measures health-related quality of life. Age and disease-specific normative values have been published, but a focus on level of functioning may be more meaningful in case of multimorbidity. We estimated normative values for Australian women aged 79–90 years according to levels of functioning.
Data were from 6127 (aged 79–84 in 2005) and 3424 (aged 85–90 in 2011) participants in the Australian Longitudinal Study on Women’s Health. Surveys included the SF-36 and information on housing. Record linkage to assessment data for access to the national program for aged care support was used to obtain information on participants’ need for assistance with 10 activities. Normative values were calculated for physical component (PCS), mental component (MCS), and subscale scores for subsamples defined by types of assistance needed.
At the ages of 79–84, the mean (95% confidence interval) PCS and MCS values for women not any needing assistance were 37.5 (37.2–37.9) and 53.0 (52.8–53.3) compared to 29.0 (27.8–30.2) and 45.9 (44.4–47.4) for women needing any assistance. At ages 85–90, the corresponding PCS values were 34.9 (34.5–35.4) vs. 28.2 (27.4–29.0) and the corresponding MCS values were 53.2 (52.8–53.6) vs. 48.7 (47.8–49.6). Values were higher for participants living in the community or retirement village vs. nursing homes/hostels. The PCS, MCS and 8 subscale values decreased as the need for assistance with more basic activities increased.
These normative values facilitate meaningful interpretation of SF-36 scores from the perspective of level of functioning.
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Ware, J. E. Jr., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30(6), 473–483. CrossRef
McHorney, C. A., Ware, J. E. Jr., & Raczek, A. E. (1993). The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care, 31(3), 247–263. CrossRef
Australian Bureau of Statistics. (1997). 1995 National Health Survey—SF-36 Population Norms, Australia. Canberra: Australian Burea of Statistics. Catalogue No 4399.0.
Blake, C., Codd, M. B., & O’Meara, Y. M. (2000). The Short Form 36 (SF-36) Health Survey: Normative data for the Irish population. Irish Journal of Medical Sciences, 169(3), 195–200. CrossRef
Hopman, W. M., Towheed, T., Anastassiades, T., Tenenhouse, A., Poliquin, S., Berger, C., et al. (2000). Canadian normative data for the SF-36 health survey. Canadian Multicentre Osteoporosis Study Research Group. Canadian Medical Association Journal, 163(3), 265–271. PubMed
Stephens, C., Alpass, F., Baars, M., Towers, A., & Stevenson, B. (2010). SF-36v2 norms for New Zealanders aged 55–69 years. New Zealand Medical Journal, 123(1327), 47–57. PubMed
Lee, C., Dobson, A. J., Brown, W. J., Bryson, L., Byles, J., Warner-Smith, P., et al. (2005). Cohort Profile: The Australian Longitudinal Study on Women’s Health. International Journal Epidemiology, 34(5), 987–991. CrossRef
Dobson, A. J., Hockey, R., Brown, W. J., Byles, J. E., Loxton, D. J., McLaughlin, D., et al. (2015). Cohort profile update: Australian longitudinal study on women’s health. International Journal of Epidemiology, 44(5), 1547a–1547af. CrossRef
Cerniauskaite, M., Quintas, R., Koutsogeorgou, E., Meucci, P., Sattin, D., Leonardi, M., et al. (2012). Quality-of-life and disability in patients with stroke. American Journal of Physical Medicine & Rehabilitation., 91(13 Suppl 1), S39–S47. CrossRef
Leonardi, M., Raggi, A., Pagani, M., Carella, F., Soliveri, P., Albanese, A., et al. (2012). Relationships between disability, quality of life and prevalence of nonmotor symptoms in Parkinson’s disease. Parkinsonism & Related Disordorders, 18(1), 35–39. CrossRef
Drageset, J., Natvig, G. K., Eide, G. E., Clipp, E. C., Bondevik, M., Nortvedt, M. W., et al. (2008). Differences in health-related quality of life between older nursing home residents without cognitive impairment and the general population of Norway. Journal of Clinical Nursing, 17(9), 1227–1236. CrossRefPubMed
Murray, M., Lefort, S., & Ribeiro, V. (1998). The SF-36: Reliable and valid for the institutionalized elderly? Aging and Mental Health, 2(1), 24–27. CrossRef
Varma, G. R., Kusuma, Y. S., & Babu, B. V. (2010). Health-related quality of life of elderly living in the rural community and homes for the elderly in a district of India. Application of the short form 36 (SF-36) health survey questionnaire. Zeitschrift fur Gerontologie und Geriatrie, 43(4), 259–263. CrossRefPubMed
Butterworth, P., & Crosier, T. (2004). The validity of the SF-36 in an Australian National Household Survey: Demonstrating the applicability of the Household Income and Labour Dynamics in Australia (HILDA) Survey to examination of health inequalities. BMC Public Health, 4, 44. CrossRefPubMedPubMedCentral
Scott, K. M., Tobias, M. I., Sarfati, D., & Haslett, S. J. (1999). SF-36 health survey reliability, validity and norms for New Zealand. Australia New Zealand Journal of Public Health, 23(4), 401–406. CrossRef
- SF-36 normative values according to level of functioning in older women
Annette J. Dobson
- Springer International Publishing