Literature DB >> 9584551

Norms for the physical and mental health component summary scores of the SF-36 for young, middle-aged and older Australian women.

G Mishra1, M J Schofield.   

Abstract

The SF-36 was developed in the USA to provide an eight-scale health profile and two component summary scores representing physical and mental health. The published norms and scoring procedures are based on data from the US general population. The Australian Longitudinal Study on Women's Health (Women's Health Australia) undertook a survey in 1996 of approximately 42,000 Australian women in three age groups of 18-22, 45-49 and 70-74 years and provided age- and gender-specific norms for the SF-36 health profile. From these data, factor weights and factor score coefficients were calculated for these age- and gender-specific populations of Australian women. Thus, component summary scores for physical and mental health can now be calculated using a formula standardized to the relevant Australian population. This will facilitate the interpretation of the physical and mental health component summary scores in the Australian context and will allow meaningful comparisons within the young, middle-aged and older cohorts of Australian women in the Australian Longitudinal Study on Women's Health.

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Year:  1998        PMID: 9584551     DOI: 10.1023/a:1024917510063

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


  6 in total

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2.  Comparison of methods for the scoring and statistical analysis of SF-36 health profile and summary measures: summary of results from the Medical Outcomes Study.

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Journal:  Med Care       Date:  1995-04       Impact factor: 2.983

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Journal:  Aust J Public Health       Date:  1995-04

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Authors:  M J Schofield; G Mishra
Journal:  J Health Psychol       Date:  1998-04

5.  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

6.  The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs.

Authors:  C A McHorney; J E Ware; A E Raczek
Journal:  Med Care       Date:  1993-03       Impact factor: 2.983

  6 in total
  31 in total

Review 1.  Are factor analytical techniques used appropriately in the validation of health status questionnaires? A systematic review on the quality of factor analysis of the SF-36.

Authors:  Henrica C W de Vet; Herman J Adèr; Caroline B Terwee; François Pouwer
Journal:  Qual Life Res       Date:  2005-06       Impact factor: 4.147

2.  Health-related quality of life 18 months after breast cancer: comparison with the general population of Queensland, Australia.

Authors:  Tracey DiSipio; Sandi Hayes; Beth Newman; Monika Janda
Journal:  Support Care Cancer       Date:  2008-01-16       Impact factor: 3.603

3.  The classification systems of the EQ-5D, the HUI II and the SF-6D: what do they have in common?

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Journal:  Qual Life Res       Date:  2009-09-01       Impact factor: 4.147

4.  Examining the SF-36 in an older population: analysis of data and presentation of Australian adult reference scores from the Dynamic Analyses to Optimise Ageing (DYNOPTA) project.

Authors:  Lauren J Bartsch; Peter Butterworth; Julie E Byles; Paul Mitchell; Jonathan Shaw; Kaarin J Anstey
Journal:  Qual Life Res       Date:  2011-02-12       Impact factor: 4.147

5.  Quality of Life for 19,114 participants in the ASPREE (ASPirin in Reducing Events in the Elderly) study and their association with sociodemographic and modifiable lifestyle risk factors.

Authors:  Nigel P Stocks; David A González-Chica; Robyn L Woods; Jessica E Lockery; Rory S J Wolfe; Anne M Murray; Brenda Kirpach; Raj C Shah; Mark R Nelson; Christopher M Reid; Michael E Ernst; John J McNeil
Journal:  Qual Life Res       Date:  2018-11-08       Impact factor: 4.147

6.  Predictors of prescribed medication use for depression, anxiety, stress, and sleep problems in mid-aged Australian women.

Authors:  Margot J Schofield; Asaduzzaman Khan
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2014-06-07       Impact factor: 4.328

7.  Family Relationships and Psychosocial Dysfunction Among Family Caregivers of Patients With Advanced Cancer.

Authors:  Kathrine G Nissen; Kelly Trevino; Theis Lange; Holly G Prigerson
Journal:  J Pain Symptom Manage       Date:  2016-08-09       Impact factor: 3.612

8.  Back pain amongst 8,910 young Australian women: a longitudinal analysis of the use of conventional providers, complementary and alternative medicine (CAM) practitioners and self-prescribed CAM.

Authors:  David William Sibbritt; Jon Adams
Journal:  Clin Rheumatol       Date:  2009-10-18       Impact factor: 2.980

9.  A comparison of SF-36 summary measures of physical and mental health for women across the life course.

Authors:  Gita D Mishra; Richard Hockey; Annette J Dobson
Journal:  Qual Life Res       Date:  2013-12-03       Impact factor: 4.147

10.  Quality of life of Australian chronically-ill adults: patient and practice characteristics matter.

Authors:  Upali W Jayasinghe; Judith Proudfoot; Christopher A Barton; Cheryl Amoroso; Chris Holton; Gawaine Powell Davies; Justin Beilby; Mark F Harris
Journal:  Health Qual Life Outcomes       Date:  2009-06-03       Impact factor: 3.186

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