Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
Health and Quality of Life Outcomes
Published in: Health and Quality of Life Outcomes 1/2008

Open Access 01-12-2008 | Research

Comparing the SF-12 and SF-36 health status questionnaires in patients with and without obesity

Authors: Christina C Wee, Roger B Davis, Mary Beth Hamel

Published in: Health and Quality of Life Outcomes | Issue 1/2008

Login to get access

Abstract

Objective

To assess how well the SF-36, a well-validated generic quality of life (QOL) instrument, compares with its shorter adaptation, the SF-12, in capturing differences in QOL among patients with and without obesity.

Methods

We compared the correlation between the physical (PCS) and mental (MCS) component summary measures of the SF-12 and SF-36 among 356 primary care patients using Pearson coefficients (r) and conducted linear regression models to see how these summary measures captures the variation across BMI. We used model R2 to assess qualitatively how well each measure explained the variation across BMI.

Results

Correlations between SF-12 and SF-36 were higher for the PCS in obese (r = 0.89) compared to overweight (r = 0.73) and normal weight patients (r = 0.75), p < 0.001, but were similar for the MCS across BMI. Compared to normal weight patients, obese patients scored 8.8 points lower on the PCS-12 and 5.7 points lower on the PCS-36 after adjustment for age, sex, and race; the model R2 was higher with PCS-12 (R2 = 0.22) than with PCS-36 (R2 = 0.16). BMI was not significantly associated with either the MCS-12 or MCS-36.

Conclusion

The SF-12 correlated highly with SF-36 in obese and non-obese patients and appeared to be a better measure of differences in QOL associated with BMI.
Appendix
Available only for authorised users
Literature
1.
Ware JE, Kosinski M, Dewey JE: How to Score Version Two of the SF-36 ® Health Survey. Lincoln (RI): QualityMetric Incorporated; 2000.
2.
Ballantyne GH: Measuring outcomes following bariatric surgery: weight loss parameters, improvement in co-morbid conditions, change in quality of life and patient satisfaction. Obes Surg 2003, 13(6):954–64. 10.1381/096089203322618867CrossRefPubMed
3.
Horchner R, Tuinebreijer MW, Kelder PH: Quality-of-life assessment of morbidly obese patients who have undergone a Lap-Band operation: 2-year follow-up study. Is the MOS SF-36 a useful instrument to measure quality of life in morbidly obese patients? Obes Surg 2001, 11(2):212–8. 10.1381/096089201321577901CrossRefPubMed
4.
Corica Francesco, Corsonello Andrea, Apolone Giovanni, Lucchetti Maria, Melchionda Nazario, Marchesini Giulio, the Quovadis study group: Construct Validity of the Short Form-36 Health Survey and Its Relationship with BMI in Obese Outpatients. Obesity 2006, 14(8):1429–1437.CrossRefPubMed
5.
Kolotkin RL, Head S, Hamilton M, Tse CTJ: Assessing impact of weight on quality of life. Obes Res 1995, 3: 49–56.CrossRefPubMed
6.
Kolotkin RL, Head S, Brookhart A: Construct validity of the Impact of Weight on Quality of Life questionnaire. Obes Res 1997, 5: 434–441.CrossRefPubMed
7.
Oria HE, Morehead MK: Bariatric Analysis and Reporting Outcome System (BAROS). Obes Surg 1998, 8: 487–499. 10.1381/096089298765554043CrossRefPubMed
8.
Ware JE, Kosinski M, Keller SD: SF-12: how to score the SF-12 physical and mental health summary scales. 3rd edition. Lincoln (RI): QualityMetric Incorporated; 1998.
9.
Ware JE, Kosinski M, Keller SD: A 12-item short-form health survey. Med Care 1996, 34(3):220–3. 10.1097/00005650-199603000-00003CrossRefPubMed
10.
Muller-Nordhorn J, Roll S, Willich SN: Comparison of the short form (SF)-12 health status instrument with the SF-36 in patients with coronary heart disease. Heart 2004, 90(5):523–7. 10.1136/hrt.2003.013995PubMedCentralCrossRefPubMed
11.
Jenkinson C, Layte R, Jenkinson D, Lawrence K, Petersen S, Paice C, Stradling J: A shorter form health survey: can the SF-12 replicate results from the SF-36 in longitudinal studies? J Public Health Med 1997, 19(2):179–86.CrossRefPubMed
12.
Hurst NP, Ruta DA, Kind P: Comparison of the MOS short form-12 (SF12) health status questionnaire with the SF36 in patients with rheumatoid arthritis. Br J Rheumatol 1998, 37(8):862–9. 10.1093/rheumatology/37.8.862CrossRefPubMed
13.
Wee CC, Hamel MB, Davis RB, Phillips RS: Assessing the value of weight loss among primary care patients. J Gen Intern Med 2004, 19(12):1206–11. 10.1111/j.1525-1497.2004.40063.xPubMedCentralCrossRefPubMed
14.
Wee CC, Davis RB, Phillips RS: Stage of readiness to control weight and adopt weight control behaviors in primary care. J Gen Intern Med 2005, 20(5):410–5. 10.1111/j.1525-1497.2005.0074.xPubMedCentralCrossRefPubMed
15.
National Heart, Lung, and Blood Institute: Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in the United States. Bethesda, MD: National Institutes ofHealth, NHLBI; 1998:1–228.
16.
Scholfield MJ, Mishra G: Validity of the SF-12 compared with the SF-36 health survey in pilot studies of the Australian longitudinal study on women's health. J Health Psychol 1998, 3(2):259–71. 10.1177/135910539800300209CrossRef
17.
Zar JH: Biostatistical Analysis. 4th edition. Upper Saddle River, NJ: Prentice Hall; 1999:390–392.
18.
Katz DA, McHorney CA, Atkinson RL: Impact of obesity on health-related quality of life in patients with chronic illness. J Gen Intern Med 2000, 15(11):789–96. 10.1046/j.1525-1497.2000.90906.xPubMedCentralCrossRefPubMed
19.
Yancy WS Jr, Olsen MK, Westman EC, Bosworth HB, Edelman D: Relationship between obesity and health-related quality of life in men. Obes Res 2002, 10(10):1057–64.CrossRefPubMed
20.
Finkelstein MM: Body mass index and quality of life in a survey of primary care patients. J Fam Pract 2000, 49(8):734–7.PubMed
21.
Rowland ML: Self-reported weight and height. Am J Clin Nutr 1990, 52(6):1125–33.PubMed
22.
Jefferey RW: Bias in reported body weight as a function of education, occupation, health and weight concern. Addict Behav 1996, 21(2):217–222. 10.1016/0306-4603(95)00050-XCrossRef
23.
Villanueva EV: The validity of self-reported weight in US adults: a population based cross-sectional study. BMC Public Health 2001, 1(1):11. 10.1186/1471-2458-1-11PubMedCentralCrossRefPubMed
24.
McHorney CA, Kosinski M, Ware JJ: Comparisons of the costs and quality of norms for the SF-36 health survey collected by mail versus telephone interview: results from a national survey. Medical Care 1994, 32: 551–67. 10.1097/00005650-199406000-00002CrossRefPubMed
Metadata
Title
Comparing the SF-12 and SF-36 health status questionnaires in patients with and without obesity
Authors
Christina C Wee
Roger B Davis
Mary Beth Hamel
Publication date
01-12-2008
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2008
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/1477-7525-6-11

Other articles of this Issue 1/2008

Health and Quality of Life Outcomes 1/2008 Go to the issue

Letter to the Editor

Discrimination and reliability: equal partners? Understanding the role of discriminative instruments in HRQoL research: can Ferguson's Delta help? A response

Research

Psychometric properties of the Child Health Assessment Questionnaire (CHAQ) applied to children and adolescents with cerebral palsy

Research

Conceptual adequacy of the neuropathic pain symptom inventory in six countries

Research

The relationship between anxiety, coping strategies and characteristics of patients with diabetes

Research

Development and validation of the WEll-being and Satisfaction of CAREgivers of Children with Diabetes Questionnaire (WE-CARE)

Research

Quality of life among parents of children with heart disease