Skip to main content
SpringerLink
Log in

Correlation between socio-demographic characteristics, metabolic control factors and personality traits with self-perceived health status in patients with diabetes: A cross-sectional study

  • Research article
  • Published:
Journal of Diabetes & Metabolic Disorders Aims and scope Submit manuscript

Abstract

Purpose

This study aimed to assess the relationship between metabolic control factors, socio-demographic characteristics, personality traits, and self-perceived health status in diabetes.

Methods

This cross-sectional study included 318 patients with type 1 and 2 diabetes (DM). Participants completed a questionnaire-based survey, which included the NEO Personality Inventory-Revised to measure five personality dimensions and the SF-12 survey to assess self-perceived health status. Binary logistic regression was performed to analyze the data, with socio-demographic characteristics, clinical data, and nutrition status as independent variables, and self-perceived health status (categorized as poor or good condition) as the dependent variable. Unadjusted and adjusted binary logistic regression analyses were used to examine the association between personality traits (high vs. low) and metabolic control factors (good control vs. bad control) with health status scores.

Results

60.7% of the participants with diabetes in the study described their health as "good." The results indicated that female gender (OR: 0.314, 95%CI: 0.105–0.938, P = 0.038), age > 60 years (OR: 0.263, 95%CI: 0.117–0.592, P = 0.001), comorbidities (OR: 0.314, 95%CI: 0.178–0.556, P = 0.001), DM complications (OR: 0.531, 95%CI: 0.337–0.838, P = 0.007), diabetic neuropathy (OR: 0.562, 95%CI: 0.356–0.886, P = 0.013), and diabetic ulcer (OR: 0.130, 95%CI: 0.023–0.747, P = 0.022) were independent variables associated with a "poor" health status. However, regular physical activity (OR: 3.144, 95%CI: 1.209–8.175, P = 0.019) and a healthy nutritional diet (OR: 2.456, 95%CI: 1.421–4.245, P < 0.001) were associated with a higher likelihood of a "good" self-perceived health status.

Conclusion

Preventive programs and interventions aimed at improving self-perceived health among patients with diabetes should focus on increasing regular physical activity and promoting a healthy nutritional status. These actions should be particularly targeted towards female and older patients with higher neuroticism traits.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

Data availability

All data collected and analyzed during the current study can be provided by the corresponding author on reasonable request.

Abbreviations

IDF:

International Diabetes Federation

QOL:

Quality of life

NEO-PI-R:

NEO Personality Inventory-Revised

HbA1C :

Glycosylated hemoglobin

BMI:

Body Mass Index

SF-12:

Short Form health status survey includes 12 questions

MCS:

Mental Component Score

PCS:

Physical Component Score

OR:

Odds ratio

CI:

Confidence intervals

MCF:

Metabolic control factors

References

  1. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2009;32 Suppl 1(Suppl 1):S62–7. https://doi.org/10.2337/dc09-S062.

  2. Lin X, Xu Y, Pan X, Xu J, Ding Y, Sun X, et al. Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025. Sci Rep. 2020;10(1):14790. https://doi.org/10.1038/s41598-020-71908-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Harding JL, Pavkov ME, Magliano DJ, Shaw JE, Gregg EW. Global trends in diabetes complications: a review of current evidence. Diabetologia. 2019;62(1):3–16. https://doi.org/10.1007/s00125-018-4711-2.

    Article  PubMed  Google Scholar 

  4. Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271–81. https://doi.org/10.1016/j.diabres.2018.02.023.

    Article  CAS  PubMed  Google Scholar 

  5. Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, et al. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022;183: 109119. https://doi.org/10.1016/j.diabres.2021.109119.

    Article  PubMed  Google Scholar 

  6. Khamseh ME, Sepanlou SG, Hashemi-Madani N, Joukar F, Mehrparvar AH, Faramarzi E, et al. Nationwide Prevalence of Diabetes and Prediabetes and Associated Risk Factors Among Iranian Adults: Analysis of Data from PERSIAN Cohort Study. Diabetes Ther. 2021;12(11):2921–38. https://doi.org/10.1007/s13300-021-01152-5.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Samiei Siboni F, Alimoradi Z, Atashi V, Alipour M, Khatooni M. Quality of Life in Different Chronic Diseases and Its Related Factors. Int J Prev Med. 2019;10:65. https://doi.org/10.4103/ijpvm.IJPVM_429_17.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Pengpid S, Peltzer K. The Impact of Chronic Diseases on the Quality of Life of Primary Care Patients in Cambodia, Myanmar and Vietnam. Iran J Public Health. 2018;47(9):1308–16.

    PubMed  PubMed Central  Google Scholar 

  9. Gupta J, Kapoor D, Sood V. Quality of Life and its Determinants in Patients with Diabetes Mellitus from Two Health Institutions of Sub-himalayan Region of India. Indian journal of endocrinology and metabolism. 2021;25(3):211–9. https://doi.org/10.4103/ijem.IJEM_246_21.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Maniscalco L, Miceli S, Bono F, Matranga D. Self-perceived health, objective health, and quality of life among people aged 50 and over: interrelationship among health indicators in Italy, Spain, and Greece. Int J Environ Res Public Health. 2020;17(7):2414. https://doi.org/10.3390/ijerph17072414.

  11. Jylhä M. What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Social science & medicine. 2009;69(3):307–16. https://doi.org/10.1016/j.socscimed.2009.05.013.

    Article  Google Scholar 

  12. Shields M, Shooshtari S. Determinants of self-perceived health. Health Rep. 2001;13(1):35–52.

    CAS  PubMed  Google Scholar 

  13. Kriston P, Pikó B, Kovács E. Self-perceived health, as an indicator of psychological well-being: behavioural epidemiological analysis among the adolescent population. Orv Hetil. 2012;153(47):1875–82. https://doi.org/10.1556/oh.2012.29491.

    Article  PubMed  Google Scholar 

  14. Machón M, Vergara I, Dorronsoro M, Vrotsou K, Larrañaga I. Self-perceived health in functionally independent older people: associated factors. BMC Geriatr. 2016;16:66. https://doi.org/10.1186/s12877-016-0239-9.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Freidoony L, Chhabi R, Kim CS, Park MB, Kim CB. The components of self-perceived health in the Kailali district of Nepal: a cross-sectional survey. Int J Environ Res Public Health. 2015;12(3):3215–31. https://doi.org/10.3390/ijerph120303215.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Salehi A, Harris N, Sebar B, Coyne E. Self-perception of quality of life and its association with lifestyle behaviours of young Iranian women. Iran J Public Health. 2015;44(3):332–40.

    PubMed  PubMed Central  Google Scholar 

  17. Paul P, Nguemdjo U, Kovtun N, Ventelou B. Does self-assessed health reflect the true health state? Int J Environ Res Public Health. 2021;18(21):11153. https://doi.org/10.3390/ijerph182111153.

  18. Wuorela M, Lavonius S, Salminen M, Vahlberg T, Viitanen M, Viikari L. Self-rated health and objective health status as predictors of all-cause mortality among older people: a prospective study with a 5-, 10-, and 27-year follow-up. BMC Geriatr. 2020;20(1):120. https://doi.org/10.1186/s12877-020-01516-9.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Singh-Manoux A, Dugravot A, Shipley MJ, Ferrie JE, Martikainen P, Goldberg M, et al. The association between self-rated health and mortality in different socioeconomic groups in the GAZEL cohort study. Int J Epidemiol. 2007;36(6):1222–8. https://doi.org/10.1093/ije/dym170.

    Article  PubMed  Google Scholar 

  20. Alexopoulos EC, Geitona M. Self-rated health: inequalities and potential determinants. Int J Environ Res Public Health. 2009;6(9):2456–69. https://doi.org/10.3390/ijerph6092456.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Kaleta D, Polańska K, Dziankowska-Zaborszczyk E, Hanke W, Drygas W. Factors influencing self-perception of health status. Cent Eur J Public Health. 2009;17(3):122–7. https://doi.org/10.21101/cejph.b0017.

    Article  PubMed  Google Scholar 

  22. Kartal A, İnci FH. A cross-sectional survey of self-perceived health status and metabolic control values in patients with type 2 diabetes. Int J Nurs Stud. 2011;48(2):227–34. https://doi.org/10.1016/j.ijnurstu.2010.07.004.

    Article  PubMed  Google Scholar 

  23. Denche-Zamorano Á, Mendoza-Muñoz M, Carlos-Vivas J, Muñoz-Bermejo L, Rojo-Ramos J, Pastor-Cisneros R, et al. A cross-sectional study on self-perceived health and physical activity level in the Spanish population. Int J Environ Res Public Health. 2022;19(9):5656. https://doi.org/10.3390/ijerph19095656.

  24. Wong HJ, Lua PL, Harith S, Ibrahim KA. Health-related quality of life profiles and their dimension-specific associated factors among Malaysian stroke survivors: a cross sectional study. Health Qual Life Outcomes. 2021;19(1):210. https://doi.org/10.1186/s12955-021-01847-0.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Barreto MCA, Cartes-Velásquez R, Campos V, Araújo LF, Castro SS. Association of social factors and health conditions with capacity and performance. Rev Saude Publica. 2022;56:62. https://doi.org/10.11606/s1518-8787.2022056004152.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Abubakari AR, Cousins R, Thomas C, Sharma D, Naderali EK. Sociodemographic and Clinical Predictors of Self-Management among People with Poorly Controlled Type 1 and Type 2 Diabetes: The Role of Illness Perceptions and Self-Efficacy. J Diabetes Res. 2016;2016:6708164. https://doi.org/10.1155/2016/6708164.

    Article  PubMed  Google Scholar 

  27. Löckenhoff CE, Sutin AR, Ferrucci L, Costa PT. Personality traits and subjective health in the later years: The association between NEO-PI-R and SF-36 in advanced age is influenced by health status. J Res Pers. 2008;42(5):1334–46. https://doi.org/10.1016/j.jrp.2008.05.006.

    Article  Google Scholar 

  28. Aiken-Morgan AT, Bichsel J, Savla J, Edwards CL, Whitfield KE. Associations between self-rated health and personality. Ethn Dis. 2014;24(4):418–22.

    PubMed  Google Scholar 

  29. Dakroub D, Sakr F, Dabbous M, Dia N, Hammoud J, Rida A, et al. The socio-demographic and lifestyle characteristics associated with quality of life among diabetic patients in Lebanon: a cross-sectional study. Pharm Pract (Granada). 2023;21(1):2775. https://doi.org/10.18549/PharmPract.2023.1.2775.

    Article  PubMed  Google Scholar 

  30. Kang W. Diabetes moderates the link between personality traits and self-rated health (SRH). Healthcare (Basel). 2023;11(15):2149. https://doi.org/10.3390/healthcare11152149.

  31. Olukotun O, Akinboboye O, Williams JS, Ozieh M, Egede LE. Influences of Demographic, Social Determinants, Clinical, Knowledge, and Self-Care Factors on Quality of Life in Adults With Type 2 Diabetes: Black-White Differences. J Racial Ethn Health Disparities. 2022;9(4):1172–83. https://doi.org/10.1007/s40615-021-01058-9.

    Article  PubMed  Google Scholar 

  32. World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013;310(20):2191–4. https://doi.org/10.1001/jama.2013.281053.

  33. Vandenbroucke JP, von Elm E, Altman DG, Gøtzsche PC, Mulrow CD, Pocock SJ, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. Int J Surg. 2014;12(12):1500–24. https://doi.org/10.1016/j.ijsu.2014.07.014.

    Article  PubMed  Google Scholar 

  34. American Diabetes Association. Classification and diagnosis of diabetes: standards of medical care in diabetes-2021. Diabetes Care. 2021;44(Suppl 1):S15–33. https://doi.org/10.2337/dc21-S002.

  35. Association AD. Standards of medical care in diabetes–2014. Diabetes Care. 2014;37:S14–80.

    Article  Google Scholar 

  36. Boeing H, Bechthold A, Bub A, Ellinger S, Haller D, Kroke A, et al. Critical review: vegetables and fruit in the prevention of chronic diseases. Eur J Nutr. 2012;51(6):637–63. https://doi.org/10.1007/s00394-012-0380-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Dhaka V, Gulia N, Ahlawat KS, Khatkar BS. Trans fats-sources, health risks and alternative approach - A review. J Food Sci Technol. 2011;48(5):534–41. https://doi.org/10.1007/s13197-010-0225-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Bahadoran Z, Mirmiran P, Azizi F. Fast Food Pattern and Cardiometabolic Disorders: A Review of Current Studies. Health Promot Perspect. 2015;5(4):231–40. https://doi.org/10.15171/hpp.2015.028.

    Article  PubMed  Google Scholar 

  39. Funder DC, Parke RD, Tomlinson-Keasey C, Widaman K. Studying lives through time: personality and development. American Psychological Association; 1993. https://doi.org/10.1037/10127-000.

  40. KH F, F A. Psychometric properties of the short form of Goldberg’s 50- item personality scale. Psychological Methods and Models. 2014;4(16):29–39.

  41. Fodstad EC, Ushakova A, Pallesen S, Hagen E, Erga AH, Erevik EK. Personality and substance use disorder: characteristics as measured by NEO-personality inventory-revised. Front Psychol. 2022;13:982763. https://doi.org/10.3389/fpsyg.2022.982763.

  42. Ziapour A, Kianipour N. A study of the relationship between characteristic traits and employee engagement (A case study of nurses across Kermanshah, Iran in 2015). J Med Life. 2015;8(Spec Iss 3):134–40.

  43. Ware J Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33. https://doi.org/10.1097/00005650-199603000-00003.

    Article  PubMed  Google Scholar 

  44. Shah CH, Brown JD. Reliability and validity of the short-form 12 item version 2 (SF-12v2) health-related quality of life survey and disutilities associated with relevant conditions in the U.S. older adult population. J Clin Med. 2020;9(3):661. https://doi.org/10.3390/jcm9030661.

  45. Rohani C, Abedi H, Langius-Eklöf A. The Iranian SF-12 health survey version 2 (SF-12v2): factorial and convergent validity, internal consistency and test-retest in a healthy sample. Iran Rehabil J. 2010,8:4–14.

  46. Rohani C, Abedi HA, Langius A. The Iranian SF-12 Health Survey Version 2 (SF-12v2): Factorial and Convergent Validity, Internal Consistency and Test-Retest in a Healthy Sample. Iran Rehabil J. 2010;8(2):4–14.

    Google Scholar 

  47. Pakpour AH, Nourozi S, Molsted S, Harrison AP, Nourozi K, Fridlund B. Validity and reliability of short form-12 questionnaire in Iranian hemodialysis patients. Iran J Kidney Dis. 2011;5(3):175–81.

    PubMed  Google Scholar 

  48. Daniilidou NV, Gregory S, Kyriopoulos JH, Zavras DJ. Factors associated with self-rated health in Greece: a population-based postal survey. Eur J Pub Health. 2004;14(2):209–11. https://doi.org/10.1093/eurpub/14.2.209.

    Article  Google Scholar 

  49. Vlassoff C. Gender differences in determinants and consequences of health and illness. J Health Popul Nutr. 2007;25(1):47–61.

    PubMed  PubMed Central  Google Scholar 

  50. Kautzky-Willer A, Harreiter J, Pacini G. Sex and Gender Differences in Risk, Pathophysiology and Complications of Type 2 Diabetes Mellitus. Endocr Rev. 2016;37(3):278–316. https://doi.org/10.1210/er.2015-1137.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Oksuzyan A, Juel K, Vaupel JW, Christensen K. Men: good health and high mortality. Sex differences in health and aging. Aging clinical and experimental research. 2008;20(2):91–102.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Krajnak KM. Potential Contribution of Work-Related Psychosocial Stress to the Development of Cardiovascular Disease and Type II Diabetes: A Brief Review. Environmental health insights. 2014;8(Suppl 1):41–5. https://doi.org/10.4137/ehi.s15263.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Silva-Costa A, Rotenberg L, Nobre AA, Schmidt MI, Chor D, Griep RH. Gender-specific association between night-work exposure and type-2 diabetes: results from longitudinal study of adult health, ELSA-Brasil. Scand J Work Environ Health. 2015;41(6):569–78. https://doi.org/10.5271/sjweh.3520.

    Article  PubMed  Google Scholar 

  54. Veghari G, Sedaghat M, Joshaghani H, Hoseini SA, Niknezad F, Angizeh A, et al. Association between socio-demographic factors and diabetes mellitus in the north of Iran: A population-based study. International Journal of Diabetes Mellitus. 2010;2(3):154–7. https://doi.org/10.1016/j.ijdm.2010.09.001.

    Article  Google Scholar 

  55. Hamasaki H. Daily physical activity and type 2 diabetes: A review. World J Diabetes. 2016;7(12):243–51. https://doi.org/10.4239/wjd.v7.i12.243.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Sami W, Ansari T, Butt NS, Hamid MRA. Effect of diet on type 2 diabetes mellitus: A review. Int J Health Sci. 2017;11(2):65–71.

    Google Scholar 

  57. Cannata F, Vadalà G, Russo F, Papalia R, Napoli N, Pozzilli P. Beneficial effects of physical activity in diabetic patients. J Funct Morphol Kinesiol. 2020;5(3):70. https://doi.org/10.3390/jfmk5030070.

  58. Ley SH, Hamdy O, Mohan V, Hu FB. Prevention and management of type 2 diabetes: dietary components and nutritional strategies. Lancet (London, England). 2014;383(9933):1999–2007. https://doi.org/10.1016/s0140-6736(14)60613-9.

    Article  CAS  PubMed  Google Scholar 

  59. Stephan Y, Sutin AR, Luchetti M, Hognon L, Canada B, Terracciano A. Personality and self-rated health across eight cohort studies. Soc Sci Med. 2020;263: 113245. https://doi.org/10.1016/j.socscimed.2020.113245.

    Article  PubMed  Google Scholar 

  60. Graham EK, Rutsohn JP, Turiano NA, Bendayan R, Batterham PJ, Gerstorf D, et al. Personality predicts mortality risk: An integrative data analysis of 15 international longitudinal studies. J Res Pers. 2017;70:174–86. https://doi.org/10.1016/j.jrp.2017.07.005.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Hakulinen C, Hintsanen M, Munafò MR, Virtanen M, Kivimäki M, Batty GD, et al. Personality and smoking: individual-participant meta-analysis of nine cohort studies. Addiction. 2015;110(11):1844–52. https://doi.org/10.1111/add.13079.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Luchetti M, Sutin AR, Delitala A, Stephan Y, Fiorillo E, Marongiu M, et al. Personality traits and facets linked with self-reported alcohol consumption and biomarkers of liver health. Addict Behav. 2018;82:135–41. https://doi.org/10.1016/j.addbeh.2018.02.034.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Lucas RE, Le K, Dyrenforth PS. Explaining the extraversion/positive affect relation: sociability cannot account for extraverts’ greater happiness. J Pers. 2008;76(3):385–414. https://doi.org/10.1111/j.1467-6494.2008.00490.x.

    Article  PubMed  Google Scholar 

  64. McCabe KO, Fleeson W. What is extraversion for? Integrating trait and motivational perspectives and identifying the purpose of extraversion. Psychol Sci. 2012;23(12):1498–505. https://doi.org/10.1177/0956797612444904.

    Article  PubMed  Google Scholar 

  65. Abdullahi AM, Orji R, Rabiu AM, Kawu AA. Personality and Subjective Well-Being: Towards Personalized Persuasive Interventions for Health and Well-Being. Online J Public Health Inform. 2020;12(1): e1. https://doi.org/10.5210/ojphi.v12i1.10335.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Turiano NA, Spiro A 3rd, Mroczek DK. Openness to experience and mortality in men: analysis of trait and facets. J Aging Health. 2012;24(4):654–72. https://doi.org/10.1177/0898264311431303.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Smide B, Wikblad K. Self-perceived health and metabolic control in Tanzanian diabetic patients. East Afr Med J. 2000;77(12):658–62.

    Google Scholar 

  68. Van der Does FE, De Neeling JN, Snoek FJ, Kostense PJ, Grootenhuis PA, Bouter LM, et al. Symptoms and well-being in relation to glycemic control in type II diabetes. Diabetes Care. 1996;19(3):204–10. https://doi.org/10.2337/diacare.19.3.204.

    Article  PubMed  Google Scholar 

  69. Huang GH, Palta M, Allen C, LeCaire T, D’Alessio D. Self-rated health among young people with type 1 diabetes in relation to risk factors in a longitudinal study. Am J Epidemiol. 2004;159(4):364–72. https://doi.org/10.1093/aje/kwh055.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The study was supported by Vice-chancellor of "Clinical Research Development Unit of Baqiyatallah Hospital". We are grateful to the guidance and advice from the Clinical Research Development Unit of Baqiyatallah Hospital of Medical Sciences, Tehran, Iran.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

  1. Health Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran

    Hossein Amini & Mahboobeh Sadat Hosseini

  2. Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran

    Mohammad Meskarpour-Amiri

  3. Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

    Mohammad Farjami

  4. Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran

    Sara Ashtari

  5. Trauma Research Center, Nursing Faculty, Baqiyatallah University of Medical Sciences, Tehran, Iran

    Amir Vahedian-Azimi

  6. Academic Diabetes Endocrinology and Metabolism, Hull York Medical School, University of Hull, UK of Great Britain and Northern Ireland, Hull, UK

    Thozhukat Sathyapalan

  7. Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran

    Amirhossein Sahebkar

  8. Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

    Amirhossein Sahebkar

Authors
  1. Hossein Amini
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohammad Meskarpour-Amiri
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mahboobeh Sadat Hosseini
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mohammad Farjami
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sara Ashtari
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Amir Vahedian-Azimi
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Thozhukat Sathyapalan
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Amirhossein Sahebkar
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

A.VA and A.S developed the study concept. All authors contributed to the study design. Testing and data collection were performed by H.A, M.MA, MS.H, and M.F. Data analysis and interpretation were performed by S.A under the supervision of A.VA. Drafted the manuscript by S.A, T.S and H.A. Critical revisions was provided by A.VA and A.S. All authors approved the final version of the manuscript for submission.

Corresponding authors

Correspondence to Amir Vahedian-Azimi or Amirhossein Sahebkar.

Ethics declarations

Ethics approval and consent to participation

The study protocol was reviewed and approved by the Ethics Committee of Baqiyatallah University of Medical Sciences, Tehran, Iran under code (IR.BMSU.REC.1399.201). The study was performed in accordance with the Declaration of Helsinki of the World Medical Association. Informed consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

None to declare.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Amini, H., Meskarpour-Amiri, M., Hosseini, M.S. et al. Correlation between socio-demographic characteristics, metabolic control factors and personality traits with self-perceived health status in patients with diabetes: A cross-sectional study. J Diabetes Metab Disord (2023). https://doi.org/10.1007/s40200-023-01354-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40200-023-01354-7

Keywords

Search

Navigation