The SF-36 Health Survey as a Generic Outcome Measure in Clinical Trials of Patients With Osteoarthritis and Rheumatoid Arthritis

Kosinski, Mark; Keller, San; Hatoum, Hind T.; Kong, Sheldon X.; Ware, John E.

doi:10.1097/00005650-199905001-00002

Cited by 146 publications

(86 citation statements)

References 15 publications

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“…20 40 In particular, the BP scale correlates only moderately with the physical component (0.48), and the SF scale correlates only moderately with the mental component (0.51) and similarly with the physical component (0.60). Although small departures from predicted results are to be expected, and have been reported,2 these findings in multiple sclerosis seem to be more significant. The finding that the two components explain less than 60% of the variance in SF-36 scales suggests that even multiple sclerosis specific algorithms for summary scores, based on principal components analysis with orthogonal rotation, may not be feasible.…”

Section: Discussionmentioning

confidence: 54%

The SF-36 in multiple sclerosis: why basic assumptions must be tested

Hobart

2001

Journal of Neurology, Neurosurgery &Amp; Psychiatry

124

113

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Objectives-To evaluate, in people with multiple sclerosis, two psychometric assumptions that must be satisfied for valid use of the medical outcomes study 36-item short form health survey (SF-36): the data are of high quality and, it is legitimate to generate scores for eight scales and two summary measures using the standard algorithms. Methods-SF-36 data from 438 people representing the full range of multiple sclerosis were examined (mean age 48; 70% women). Data quality (per cent missing data and computable scale and summary scores) were determined, six scaling criteria were tested to determine the legitimacy of generating the eight SF-36 scale scores using Likert's method of summed ratings, and two scaling criteria were tested to determine the appropriateness of the standard SF-36 algorithms for weighting scale scores to generate two summary measures. Results-Data quality was excellent except in the most disabled subgroup where missing responses reached a maximum of 16.5% and summary scores could only be computed for 72%. There was clear support for the generation of SF-36 scale scores. Item response distributions were symmetric, item mean scores and variances were equivalent, corrected itemtotal correlations were high (range 0.46-0.85) and similar, and definite scaling success rates exceeded 96%. Nevertheless, there were notable floor or ceiling eVects in four of the eight scales. Assumptions for generating two SF-36 summary measures were only partially satisfied. Although principal components analysis suggested a two component model, these components explained less than 60% of the total variance in SF-36 scales, and less than 75% of the variance in five of the eight scales. Moreover, scale to component correlations did not support the use of scale weights derived from United States population data. Conclusions-When using the SF-36 as a health measure in multiple sclerosis summary scores should be reported with caution.

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Section: Discussionmentioning

confidence: 54%

The SF-36 in multiple sclerosis: why basic assumptions must be tested

Hobart

2001

Journal of Neurology, Neurosurgery &Amp; Psychiatry

124

113

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“…Quality of life was assessed using the MOS 36-item Health Survey (SF-36) [27], which summarizes four physical and four mental health subscales. The questionnaire has been used in diverse populations, including women with breast cancer [28], and has shown to be reliable (Cronbach's alpha = 0.75–0.91) [29] with good construct validity [30]. …”

Section: Methodsmentioning

confidence: 99%

Sleep duration and breast cancer prognosis: perspectives from the Women’s Healthy Eating and Living Study

Marinac

Nelson

Flatt

et al. 2017

Breast Cancer Res Treat

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Purpose To examine whether baseline sleep duration or changes in sleep duration are associated with breast cancer prognosis among early-stage breast cancer survivors in the multi-center Women's Healthy Eating and Living Study. Methods Data were collected from 1995 to 2010. Analysis included 3047 women. Sleep duration was self-reported at baseline and follow-up intervals. Cox proportional hazard models were used to investigate whether baseline sleep duration was associated with breast cancer recurrence, breast cancer-specific mortality, and all-cause mortality. Time-varying models investigated whether changes in sleep duration were associated with breast cancer prognosis. Results Compared to women who slept 7–8 h/night at baseline, sleeping ≥9 h/night was associated with a 48% increased risk of breast cancer recurrence (Hazard ratio [HR] 1.48, 95% Confidence interval [CI] 1.01, 2.00), a 52% increased risk of breast cancer-specific mortality (HR 1.52, 95% CI 1.09, 2.13), and a 43% greater risk of all-cause mortality (HR 1.43, 95% CI 1.07, 1.92). Time-varying models showed analogous increased risk in those who inconsistently slept ≥9 h/night (all P < 0.05), but not in those who consistently slept ≥9 h/night. Conclusions Consistent long or short sleep, which may reflect inter-individual variability in the need for sleep, does not appear to influence prognosis among early-stage breast cancer survivors.

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“…SF-36 is a generic measure of HRQoL that is valid, reliable and responsive to change in patients with osteoarthritis, rheumatoid and psoriatic arthritis 29 – 32. SF-36V is a modified version, validated in veterans,33 where role physical and role emotional domains were changed from dichotomous to five-choice ordinal scales to avoid floor and ceiling effects; it is similar to SF-36, version 2.0 34.…”

Section: Methodsmentioning

confidence: 99%

Gout is associated with more comorbidities, poorer health-related quality of life and higher healthcare utilisation in US veterans

Singh

Strand²

2007

Annals of the Rheumatic Diseases

203

155

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The SF-36 Health Survey as a Generic Outcome Measure in Clinical Trials of Patients With Osteoarthritis and Rheumatoid Arthritis

Abstract: The SF-36 Health Survey proved to be a psychometrically sound tool for the assessment of the health status of adult participants in clinical trials of arthritis.

Cited by 146 publications

References 15 publications

The SF-36 in multiple sclerosis: why basic assumptions must be tested

The SF-36 in multiple sclerosis: why basic assumptions must be tested

Sleep duration and breast cancer prognosis: perspectives from the Women’s Healthy Eating and Living Study

Gout is associated with more comorbidities, poorer health-related quality of life and higher healthcare utilisation in US veterans

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