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Construct validity of the 12-item Short Form Health Survey (SF-12) version 2 and the impact of lifestyle modifications on the health-related quality of life among Indian adults with prediabetes: results from the D-CLIP trial

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Abstract

Purpose

This study aimed to validate the factor structure of the 12-item Short-Form (SF-12) health-related quality of life (HRQOL) survey for Indian adults and assess the impact of lifestyle modification on the SF-12 of Indian adults with prediabetes.

Methods

To validate the context-specific construct of the SF-12, two-factor confirmatory factor analysis (CFA) was performed using data from 1285 adults residing in Chennai, India, who screened for the Diabetes Community Lifestyle Improvement Program (D-CLIP). D-CLIP was a randomized controlled trial of 578 participants with prediabetes (283 treatment, 293 control), focusing on the effect of lifestyle modifications on the prevention of diabetes. Physical and mental component scores (PCS and MCS) were computed by using CFA standardized factor loadings. Multiple linear regression was subsequently conducted to estimate the effect of lifestyle modification on post-study changes of PCS and MCS among D-CLIP participants.

Results

Cronbach’s alpha and CFA fit indices demonstrated acceptable reliability and model fit of the SF-12 for Indian adults. The intervention group showed greater mean change in PCS after study participation compared to the controls (1.63 ± 0.82, p = 0.046); no significant difference was observed for MCS between two groups (1.00 ± 0.85, p = 0.242).

Conclusion

The study confirmed that the SF-12 is suitable for assessing the physical and mental health dimensions of HRQOL for Indian adults. Our findings suggest that the benefits of diabetes prevention lifestyle modification strategies may primarily enhance the physical well-being of adults with prediabetes. Further studies validating the SF-12 in a broader Asian Indian population are needed.

Trial registration

Clinicaltrials.gov, NCT01283308.

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Data availability

N/A, the study data can only be accessed by investigators registered in the IRB and their groups.

References

  1. IDF. (2022). Diabetes in South-East Asia—2021. In Factsheets. International Diabetes Federation (IDF) Diabetes Atlas.

  2. Anjana, R. M., et al. (2023). Metabolic non-communicable disease health report of India: The ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17). The Lancet Diabetes and Endocrinology, 11(7), 474–489.

    Article  PubMed  Google Scholar 

  3. Anjana, R. M., et al. (2017). Prevalence of diabetes and prediabetes in 15 states of India: Results from the ICMR-INDIAB population-based cross-sectional study. The Lancet Diabetes and Endocrinology, 5(8), 585–596.

    Article  PubMed  Google Scholar 

  4. Hills, A. P., et al. (2018). Epidemiology and determinants of type 2 diabetes in south Asia. The Lancet Diabetes and Endocrinology, 6(12), 966–978.

    Article  PubMed  Google Scholar 

  5. Haraldstad, K., et al. (2019). A systematic review of quality of life research in medicine and health sciences. Quality of Life Research, 28(10), 2641–2650.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Costa, D. S. J., et al. (2021). How is quality of life defined and assessed in published research? Quality of Life Research, 30(8), 2109–2121.

    Article  PubMed  Google Scholar 

  7. Farquhar, M. (1995). Definitions of quality of life: A taxonomy. Journal of advanced nursing, 22(3), 502–508.

    Article  CAS  PubMed  Google Scholar 

  8. Cieza, A., & Stucki, G. (2005). Content comparison of health-related quality of life (HRQOL) instruments based on the international classification of functioning, disability and health (ICF). Quality of Life Research, 14(5), 1225–1237.

    Article  PubMed  Google Scholar 

  9. Hand, C. (2016). Measuring health-related quality of life in adults with chronic conditions in primary care settings: Critical review of concepts and 3 tools. Canadian Family Physician, 62(7), e375–e383.

    PubMed Central  Google Scholar 

  10. Karimi, M., & Brazier, J. (2016). Health, health-related quality of life, and quality of life: What is the difference? PharmacoEconomics, 34(7), 645–649.

    Article  PubMed  Google Scholar 

  11. The WHOQOL Group. (1998). The World Health Organization quality of life assessment (WHOQOL): Development and general psychometric properties. Social science & medicine, 46(12), 1569–1585.

    Article  Google Scholar 

  12. The EuroQol Group. (1990). EuroQol-a new facility for the measurement of health-related quality of life. Health Policy, 16(3), 199–208.

    Article  Google Scholar 

  13. Ware, J., et al. (2002). How to score version 2 of the SF-12 Health Survey (with a supplement documenting version 1). QualityMetric Inc.

  14. Ware, J., Jr., Kosinski, M., & Keller, S. D. (1996). A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Medical Care, 34(3), 220–233.

    Article  PubMed  Google Scholar 

  15. Jenkinson, C., et al. (1997). A shorter form health survey: Can the SF-12 replicate results from the SF-36 in longitudinal studies? Journal of Public Health Medicine, 19(2), 179–186.

    Article  CAS  PubMed  Google Scholar 

  16. Al Omari, O., et al. (2019). A review of the Short Form Health Survey-Version 2. Journal of nursing measurement, 27(1), 77–86.

    Article  PubMed  Google Scholar 

  17. Gandek, B., et al. (1998). Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: Results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51(11), 1171–1178.

    Article  CAS  PubMed  Google Scholar 

  18. Govindaraju, S. K., et al. (2021). Multiple high-energy open injuries in the same limb: Comparison of outcomes between salvage and amputation groups. Indian Journal of Orthopaedics, 55(3), 734–740.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Rangaswamy, U. K., & Ganachari, M. S. Community pharmacist and clinical pharmacist interventions using MMAS-8, FACIT, SF-12 among pulmonary TB patients receiving anti-TB drugs from Urban Community Pharmacies, South India.

  20. Wiedemann, A. A., et al. (2018). Food addiction among men and women in India. European Eating Disorders Review, 26(6), 597–604.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Wind, T. R., et al. (2013). The impact of recurrent disasters on mental health: A study on seasonal floods in Northern India. Prehospital and Disaster Medicine, 28(3), 279–285.

    Article  PubMed  Google Scholar 

  22. Pal, S., et al. (2014). Long-term (1-year) safety and efficacy of a single 6-mL injection of hylan G-F 20 in Indian patients with symptomatic knee osteoarthritis. The Open Rheumatology Journal, 8, 54–68.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Knekta, E., Runyon, C., & Eddy, S. (2019). One size doesn’t fit all: Using factor analysis to gather validity evidence when using surveys in your research. CBE: Life Sciences Education, 18(1), rm1.

    PubMed  Google Scholar 

  24. DiStefano, C., & Hess, B. (2005). Using confirmatory factor analysis for construct validation: An empirical review. Journal of Psychoeducational Assessment, 23, 225–241.

    Article  Google Scholar 

  25. McArdle, J. J. (1996). Current directions in structural factor analysis. Current Directions in Psychological Science, 5(1), 11–18.

    Article  Google Scholar 

  26. Florez, H., et al. (2012). Impact of lifestyle intervention and metformin on health-related quality of life: The diabetes prevention program randomized trial. Journal of General Internal Medicine, 27(12), 1594–1601.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Peña, A., et al. (2022). Effects of a diabetes prevention program on type 2 diabetes risk factors and quality of life among Latino Youths with prediabetes: A randomized clinical trial. JAMA Network Open, 5(9), e2231196–e2231196.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Thankappan, K. R., et al. (2018). A peer-support lifestyle intervention for preventing type 2 diabetes in India: A cluster-randomized controlled trial of the Kerala Diabetes Prevention Program. PLoS Medicine, 15(6), e1002575.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Cunillera, O., et al. (2010). Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey. Quality of Life Research, 19(6), 853–864.

    Article  PubMed  Google Scholar 

  30. Weber, M. B., et al. (2012). A model of translational research for diabetes prevention in low and middle-income countries: The Diabetes Community Lifestyle Improvement Program (D-CLIP) trial. Primary Care Diabetes, 6(1), 3–9.

    Article  PubMed  Google Scholar 

  31. Weber, M. B., et al. (2016). The stepwise approach to diabetes prevention: Results from the D-CLIP randomized controlled trial. Diabetes Care, 39(10), 1760–1767.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. WHO Expert Consultation. (2004). Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet, 363(9403), 157–163.

    Article  Google Scholar 

  33. Schulz, K. F., Altman, D. G., & Moher, D. (2010). CONSORT 2010 statement: Updated guidelines for reporting parallel group randomised trials. BMJ, 340, c332.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Nunnally, J., & Bernstein, I. (1994). Psychometric theory, 3rd edn. MacGraw-Hill

  35. Kline, R. B. (2023). Chapter 10: Model testing and indexing. In Principles and practice of structural equation modeling. Guilford publications.

  36. McNeish, D., & Wolf, M. G. (2020). Thinking twice about sum scores. Behavior Research Methods, 52(6), 2287–2305.

    Article  PubMed  Google Scholar 

  37. Husereau, D., et al. (2022). Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022) statement: Updated reporting guidance for health economic evaluations. BMC Medicine, 20(1), 23.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Husereau, D., et al. (2013). Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement. Value Health, 16(2), e1-5.

    Article  PubMed  Google Scholar 

  39. Weber, M. B., et al. (2015). Behavioral and psychosocial correlates of adiposity and healthy lifestyle in Asian Indians. Primary Care Diabetes, 9(6), 418–425.

    Article  PubMed  Google Scholar 

  40. Montazeri, A., et al. (2009). The Iranian version of 12-item Short Form Health Survey (SF-12): Factor structure, internal consistency and construct validity. BMC Public Health, 9, 341.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Haddad, C., et al. (2021). Validation of the Arabic version of the “12-item short-form health survey” (SF-12) in a sample of Lebanese adults. Arch Public Health, 79(1), 56.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Galenkamp, H., et al. (2018). Measurement invariance of the SF-12 among different demographic groups: The HELIUS study. PLoS ONE, 13(9), e0203483.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Johnson, J. A., & Coons, S. J. (1998). Comparison of the EQ-5D and SF-12 in an adult US sample. Quality of Life Research, 7(2), 155–166.

    Article  CAS  PubMed  Google Scholar 

  44. Oluchi, S. E., et al. (2021). Health related quality of life measurements for diabetes: A systematic review. International Journal of Environmental Research and Public Health, 18(17).

  45. Kolotkin, R. L., & Andersen, J. R. (2017). A systematic review of reviews: Exploring the relationship between obesity, weight loss and health-related quality of life. Clinical Obesity, 7(5), 273–289.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Kolotkin, R. L., Meter, K., & Williams, G. R. (2001). Quality of life and obesity. Obesity Reviews, 2(4), 219–229.

    Article  CAS  PubMed  Google Scholar 

  47. Böhme, P., et al. (2020). Effectiveness of a type 2 diabetes prevention program combining FINDRISC scoring and telephone-based coaching in the French population of bakery/pastry employees. European Journal of Clinical Nutrition, 74(3), 409–418.

    Article  PubMed  Google Scholar 

  48. Karamanakos, G., et al. (2019). The effectiveness of a community-based, type 2 diabetes prevention programme on health-related quality of life. The DE-PLAN study. PLoS ONE, 14(10), e0221467.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Eaglehouse, Y. L., et al. (2016). Impact of a community-based lifestyle intervention program on health-related quality of life. Quality of Life Research, 25(8), 1903–1912.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Schmiedel, K., et al. (2020). Quality of life and satisfaction during the diabetes prevention program GLICEMIA: A cluster-randomized, controlled trial. Gesundheitswesen, 82(11), 844–851.

    PubMed  Google Scholar 

  51. Dwibedi, C., Abrahamsson, B., & Rosengren, A. H. (2022). Effect of digital lifestyle management on metabolic control and quality of life in patients with well-controlled type 2 diabetes. Diabetes Ther, 13(3), 423–439.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Bian, R. R., et al. (2017). The effect of technology-mediated diabetes prevention interventions on weight: A meta-analysis. Journal of Medical Internet Research, 19(3), e76.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Achuko, O., et al. (2016). Pathways between discrimination and quality of life in patients with type 2 diabetes. Diabetes Technology & Therapeutics, 18(3), 151–158.

    Article  Google Scholar 

  54. Jankowska, A., & Golicki, D. (2022). Self-reported diabetes and quality of life: Findings from a general population survey with the Short Form-12 (SF-12) Health Survey. Archives of Medical Science, 18(5), 1157–1168.

    PubMed  Google Scholar 

  55. Singh, K., et al. (2017). Health-related quality of life variations by sociodemographic factors and chronic conditions in three metropolitan cities of South Asia: The CARRS study. British Medical Journal Open, 7(10), e018424.

    Google Scholar 

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Acknowledgements

This project is supported by a BRiDGES grant from the International Diabetes Federation (LT07-115). BRiDGES, an International Diabetes Federation project, is supported by an educational grant from Lilly Diabetes. Additional support was provided by the Global Health Institute at Emory University. Additional support was provided through P30DK111024 from NIH/NIDDK. We also express our appreciation to Ms. Sharfaa Junaid who supported the preliminary analysis of this project.

Funding

This project is supported by a BRiDGES grant from the International Diabetes Federation (LT07-115). BRiDGES, an International Diabetes Federation project, is supported by an educational grant from Lilly Diabetes. Additional support was provided by the Global Health Institute at Emory University. Additional support was provided through P30DK111024 from NIH/NIDDK.

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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Harish Ranjani, Jayalakshmi Sivaram, Mary Beth Weber, and Euisun Pyo. The first draft of the manuscript was written by Euisun Pyo, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Euisun Pyo.

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The authors have no relevant financial or non-financial interests to disclose.

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Emory University Institutional Review Board (IRB-00016503) and the Madras Diabetes Research Foundation Ethics Committee approved the study.

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All participants gave written informed consent before screening and randomization.

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All participants gave written informed consent for the publication of their data for research purposes.

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Pyo, E., Weber, M.B., Sivaram, J. et al. Construct validity of the 12-item Short Form Health Survey (SF-12) version 2 and the impact of lifestyle modifications on the health-related quality of life among Indian adults with prediabetes: results from the D-CLIP trial. Qual Life Res (2024). https://doi.org/10.1007/s11136-024-03648-6

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