Literature DB >> 30511256

SF-36 normative values according to level of functioning in older women.

Geeske Peeters1,2, Michael Waller3, Annette J Dobson3.   

Abstract

PURPOSE: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: These normative values facilitate meaningful interpretation of SF-36 scores from the perspective of level of functioning.

Entities:  

Keywords:  Ageing; Functional limitations; Multimorbidity; Quality of life; SF-36

Mesh:

Year:  2018        PMID: 30511256     DOI: 10.1007/s11136-018-2077-z

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  29 in total

1.  The Short Form 36 (SF-36) Health Survey: normative data for the Irish population.

Authors:  C Blake; M B Codd; Y M O'Meara
Journal:  Ir J Med Sci       Date:  2000 Jul-Sep       Impact factor: 1.568

2.  SF-36 health survey reliability, validity and norms for New Zealand.

Authors:  K M Scott; M I Tobias; D Sarfati; S J Haslett
Journal:  Aust N Z J Public Health       Date:  1999-08       Impact factor: 2.939

3.  Cohort Profile: the Australian Longitudinal Study on Women's Health.

Authors:  Christina Lee; Annette J Dobson; Wendy J Brown; Lois Bryson; Julie Byles; Penny Warner-Smith; Anne F Young
Journal:  Int J Epidemiol       Date:  2005-05-13       Impact factor: 7.196

4.  Prevalence of multimorbidity among adults seen in family practice.

Authors:  Martin Fortin; Gina Bravo; Catherine Hudon; Alain Vanasse; Lise Lapointe
Journal:  Ann Fam Med       Date:  2005 May-Jun       Impact factor: 5.166

5.  Canadian normative data for the SF-36 health survey. Canadian Multicentre Osteoporosis Study Research Group.

Authors:  W M Hopman; T Towheed; T Anastassiades; A Tenenhouse; S Poliquin; C Berger; L Joseph; J P Brown; T M Murray; J D Adachi; D A Hanley; E Papadimitropoulos
Journal:  CMAJ       Date:  2000-08-08       Impact factor: 8.262

6.  Women's Health Australia: recruitment for a national longitudinal cohort study.

Authors:  W J Brown; L Bryson; J E Byles; A J Dobson; C Lee; G Mishra; M Schofield
Journal:  Women Health       Date:  1998

7.  Oral health and health-related quality of life in type 2 diabetic patients and non-diabetic controls.

Authors:  Gun E Sandberg; Karin F Wikblad
Journal:  Acta Odontol Scand       Date:  2003-06       Impact factor: 2.331

8.  Validating the SF-36 health survey questionnaire: new outcome measure for primary care.

Authors:  J E Brazier; R Harper; N M Jones; A O'Cathain; K J Thomas; T Usherwood; L Westlake
Journal:  BMJ       Date:  1992-07-18

9.  Subjective health values of individuals with diabetes in Japan: comparison of utility values with the SF-36 scores.

Authors:  Isao Ohsawa; Taemi Ishida; Yoshiharu Oshida; Kunio Yamanouchi; Yuzo Sato
Journal:  Diabetes Res Clin Pract       Date:  2003-10       Impact factor: 5.602

10.  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.

Authors:  Peter Butterworth; Timothy Crosier
Journal:  BMC Public Health       Date:  2004-10-07       Impact factor: 3.295

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