nach oben

International Journal of Diabetes in Developing Countries

Erschienen in:

04.06.2018 | Original Article

Psychometric properties of Persian Diabetes-Mellitus Specific Quality of Life (DMQoL) questionnaire in a population-based sample of Iranians

verfasst von: Mohsen Saffari, Chung-Ying Lin, Keisha O’Garo, Harold G. Koenig, Hormoz Sanaeinasab, Amir H. Pakpour

Erschienen in: International Journal of Diabetes in Developing Countries | Ausgabe 1/2019

Einloggen, um Zugang zu erhalten

Abstract

Health-related quality of life (HRQoL) among patients with diabetes mellitus is often poorer than in those with other chronic medical conditions. Appropriate disease specific measures are needed to measure HRQoL in these patients. This study sought to validate a culturally adapted version of the Diabetes-Mellitus Specific Quality of Life (DMQoL) questionnaire module in Persian. Concurrent validity of the scale was assessed by the Diabetes Quality of Life (DQOL) questionnaire. Convergent and discriminative validity of the DMQoL was determined using a brief version of World Health Organization’s Quality of Life Scale Brief version (WHOQOL-BREF), Hospital Anxiety and Depression Scales (HADS), and Medication Adherence Report Scale (MARS). Construct validity was examined using confirmatory factor analysis. Rasch analysis was also performed to examine the unidimensionality of the DMQoL. Known-group method was used to examine the ability of the scale to differentiate between different categories of patients. A sample of 824 patients (512 females) with diabetes mellitus was recruited from diabetic care centers located in Qazvin, Iran. The mean age of participants was 54.1 (SD 6.3) and 27% were smokers. All items loaded on a single factor (factor loadings ≥ 0.6) and internal consistency of the scale was acceptable (α = 0.89). Significant associations were found between the scale and DQOL, indicating concurrent validity (p < 0.001). The DMQoL was able to differentiate subgroups of patients with hypertension, HbA1c, cholesterol, and diabetic diet. All items were appropriate with regard to difficulty level and confirmatory factor analysis verified the scale’s single dimension (CFI = 0.927; RMSEA = 0.067). Persian DMQoL is a reliable and valid measure of HRQoL in a Persian-speaking population with type II diabetes. Further assessment is needed to confirm the psychometric properties of the scale in other cultures and languages. Future studies are needed to determine the sensitivity of the scale to change over time in response to treatment.

McDowell JRS, Matthews DM, Brown FJ. Diabetes : a handbook for the primary care healthcare team. 2nd ed. Edinburgh: Churchill Livingstone Elsevier; 2007.

Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103(2):137–49. https://doi.org/10.1016/j.diabres.2013.11.002.CrossRefPubMed

Hunt BR, Whitman S, Henry CA. Age-adjusted diabetes mortality rates vary in local communities in a metropolitan area: racial and spatial disparities and correlates. Diabetes Care. 2014;37(5):1279–86. https://doi.org/10.2337/dc13-0988.CrossRefPubMed

Zghebi SS, Steinke DT, Carr MJ, Rutter MK, Emsley RA, Ashcroft DM. Examining trends in type 2 diabetes incidence, prevalence and mortality in the UK between 2004 and 2014. Diabetes Obes Metab. 2017;19(11):1537–45. https://doi.org/10.1111/dom.12964.CrossRefPubMed

National Diabetes Statistics Report. 2017: Estimates of Diabetes and Its Burden in the United States [database on the Internet]. US Department of Health and Human Services. URL: https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetesstatistics-report.pdf. Accessed 25 Jan 2018.

Wu H, Meng X, Wild SH, Gasevic D, Jackson CA. Socioeconomic status and prevalence of type 2 diabetes in mainland China, Hong Kong and Taiwan: a systematic review. J Global Health. 2017;7(1):011103. https://doi.org/10.7189/jogh.07.011103.CrossRef

Jan Mohamed HJ, Yap RW, Loy SL, Norris SA, Biesma R, Aagaard-Hansen J. Prevalence and determinants of overweight, obesity, and type 2 diabetes mellitus in adults in Malaysia. Asia Pac J Public Health. 2015;27(2):123–35. https://doi.org/10.1177/1010539514562447.CrossRefPubMed

Onat A, Hergenc G, Uyarel H, Can G, Ozhan H. Prevalence, incidence, predictors and outcome of type 2 diabetes in Turkey. Anatol J Cardiol. 2006;6(4):314–21.

Rashedi V, Asadi-Lari M, Delbari A, Fadayevatan R, Borhaninejad V, Foroughan M. Prevalence of diabetes type 2 in older adults: findings from a large population-based survey in Tehran, Iran (urban HEART-2). Diabetol Metab Syndr. 2017;11(Suppl 1):S347–S50. https://doi.org/10.1016/j.dsx.2017.03.014.CrossRef

10.

Haghdoost AA, Rezazadeh-Kermani M, Sadghirad B, Baradaran HR. Prevalence of type 2 diabetes in the Islamic Republic of Iran: systematic review and meta-analysis. East Mediterr Health J. 2009;15(3):591–9.CrossRefPubMed

11.

Bruni L, Porta PL. Handbook of research methods and applications in happiness and quality of life. Handbooks of research methods and applications. Cheltenham: Edward elgar; 2016.

12.

Neumann A, Schoffer O, Norstrom F, Norberg M, Klug SJ, Lindholm L. Health-related quality of life for pre-diabetic states and type 2 diabetes mellitus: a cross-sectional study in Vasterbotten Sweden. Health Qual Life Outcomes. 2014;12:150. https://doi.org/10.1186/s12955-014-0150-z.CrossRefPubMedPubMedCentral

13.

Lu Y, Wang N, Chen Y, Nie X, Li Q, Han B, et al. Health-related quality of life in type-2 diabetes patients: a cross-sectional study in East China. BMC Endocr Disord. 2017;17(1):38. https://doi.org/10.1186/s12902-017-0187-1.CrossRefPubMedPubMedCentral

14.

Mills T, Law SK, Walt J, Buchholz P, Hansen J. Quality of life in glaucoma and three other chronic diseases: a systematic literature review. Drugs Aging. 2009;26(11):933–50. https://doi.org/10.2165/11316830-000000000-00000.CrossRefPubMed

15.

Roborel de Climens A, Tunceli K, Arnould B, Germain N, Iglay K, Norquist J, et al. Review of patient-reported outcome instruments measuring health-related quality of life and satisfaction in patients with type 2 diabetes treated with oral therapy. Curr Med Res Opin. 2015;31(4):643–65. https://doi.org/10.1185/03007995.2015.1020364.CrossRefPubMed

16.

Strickland OL. General and Specific measures of quality of life--do we need both? J Nurs Meas. 2000;8(1):3–4.CrossRefPubMed

17.

Jacobson AM, de Groot M, Samson JA. The evaluation of two measures of quality of life in patients with type I and type II diabetes. Diabetes Care. 1994;17(4):267–74.CrossRefPubMed

18.

Elasy T, Samuel-Hodge C, Skelly A, Keyserling T, Ammerman A. Development of a health-related quality of life measure in older African American women with type 2 diabetes. Diabetes. 1998;47:A323-A.

19.

Bradley C, Todd C, Gorton T, Symonds E, Martin A, Plowright R. The development of an individualized questionnaire measure of perceived impact of diabetes on quality of life: the ADDQoL. Qual Life Res Int J Qual Life Asp Treat Care Rehab. 1999;8(1–2):79–91.

20.

Shen W, Kotsanos JG, Huster WJ, Mathias SD, Andrejasich CM, Patrick DL. Development and validation of the diabetes quality of life clinical trial questionnaire. Med Care. 1999;37(4):As45–66. https://doi.org/10.1097/00005650-199904001-00008.CrossRefPubMed

21.

Pakpour AH, Saffari M, Burri A. Translation and validation of an Iranian version of the diabetes quality of life measure. J Diabetes Invest. 2012;3(5):471–8. https://doi.org/10.1111/j.2040-1124.2012.00217.x.CrossRef

22.

Lin CY, Lee TY, Sun ZJ, Yang YC, Wu JS, Ou HT. Development of diabetes-specific quality of life module to be in conjunction with the World Health Organization quality of life scale brief version (WHOQOL-BREF). Health Qual Life Outcomes. 2017;15(1):167. https://doi.org/10.1186/s12955-017-0744-3.CrossRefPubMedPubMedCentral

23.

Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine. 2000;25(24):3186–91.CrossRef

24.

Yousefy AR, Ghassemi GR, Sarrafzadegan N, Mallik S, Baghaei AM, Rabiei K. Psychometric properties of the WHOQOL-BREF in an Iranian adult sample. Community Ment Health J. 2010;46(2):139–47. https://doi.org/10.1007/s10597-009-9282-8.CrossRefPubMed

25.

Lin CY, Pakpour AH. Using hospital anxiety and depression scale (HADS) on patients with epilepsy: confirmatory factor analysis and Rasch models. Seizure. 2017;45:42–6. https://doi.org/10.1016/j.seizure.2016.11.019.CrossRefPubMed

26.

Lin CY, Saffari M, Koenig HG, Pakpour AH. Effects of religiosity and religious coping on medication adherence and quality of life among people with epilepsy. Epilepsy Behav. 2017;78:45–51. https://doi.org/10.1016/j.yebeh.2017.10.008.CrossRefPubMed

27.

Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Model. 2007;14(3):464–504. https://doi.org/10.1080/10705510701301834.CrossRef

28.

Choi SE, Liu M, Palaniappan LP, Wang EJ, Wong ND. Gender and ethnic differences in the prevalence of type 2 diabetes among Asian subgroups in California. J Diabetes Complicat. 2013;27(5):429–35. https://doi.org/10.1016/j.jdiacomp.2013.01.002.CrossRefPubMedPubMedCentral

29.

Kautzky-Willer A, Kosi L, Lin J, Mihaljevic R. Gender-based differences in glycaemic control and hypoglycaemia prevalence in patients with type 2 diabetes: results from patient-level pooled data of six randomized controlled trials. Diabetes Obes Metab. 2015;17(6):533–40. https://doi.org/10.1111/dom.12449.CrossRefPubMedPubMedCentral

30.

Boyer JG, Earp JA. The development of an instrument for assessing the quality of life of people with diabetes. Diabetes-39. Med Care. 1997;35(5):440–53.CrossRefPubMed

31.

Stevens J. Applied multivariate statistics for the social sciences. 5th ed. New York: Routledge; 2009.

32.

Hara Y, Koyama S, Morinaga T, Ito H, Kohno S, Hirai H, et al. The reliability and validity of the Japanese version of the appraisal of diabetes scale for type 2 diabetes patients. Diabetes Res Clin Pract. 2011;91(1):40–6. https://doi.org/10.1016/j.diabres.2010.09.034.CrossRefPubMed

33.

Chin YW, Lai PSM, Chia YC. The validity and reliability of the English version of the diabetes distress scale for type 2 diabetes patients in Malaysia. BMC Fam Pract. 2017;18:25. https://doi.org/10.1186/s12875-017-0601-9.CrossRefPubMedPubMedCentral

34.

Evans M, Ridderstrale M, Jensen HH, Bogelund M, Jensen MM, Ericsson A, et al. Quantifying the short-term impact of changes in Hba1c, weight and insulin regimen on health related quality-of-life. Value Health. 2015;18(7):A616-A. https://doi.org/10.1016/j.jval.2015.09.2148.CrossRef

35.

Scollan-Koliopoulos M, Bleich D, Maya R, Rapp KJ. Transitional diabetes care, Hba1c, and Quality of Life. Ann Behav Med. 2012;43:S181-S.CrossRef

36.

Saffari M, Karimi T, Koenig HG, Al-Zaben F. Psychometric evaluation of the Persian version of the type 2 diabetes and health promotion scale (T2DHPS): a diabetes-specific measure of lifestyle. Scand J Caring Sci. 2015;29(3):603–12. https://doi.org/10.1111/scs.12181.CrossRefPubMed

Titel: Psychometric properties of Persian Diabetes-Mellitus Specific Quality of Life (DMQoL) questionnaire in a population-based sample of Iranians
verfasst von: Mohsen Saffari
Chung-Ying Lin
Keisha O’Garo
Harold G. Koenig
Hormoz Sanaeinasab
Amir H. Pakpour
Publikationsdatum: 04.06.2018
Verlag: Springer India
Erschienen in: International Journal of Diabetes in Developing Countries / Ausgabe 1/2019
Print ISSN: 0973-3930
Elektronische ISSN: 1998-3832
DOI: https://doi.org/10.1007/s13410-018-0648-8

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 1/2019

High prevalence of disabling hearing loss in young to middle-aged adults with diabetes

Biochemical and anthropometric changes during Ramadan among type 2 diabetes mellitus patients

Fibrocalculous pancreatic diabetes with hemorrhagic pericardial effusion in a female—a rare case report

Cost of illness (COI) of type-II diabetes mellitus in Shillong, Meghalaya

Dorsal pancreatic agenesis in newly diagnosed type one diabetes mellitus: case report and review of literature

Bacteriological profile of sepsis and its correlation with procalcitonin in patients with diabetes mellitus