Relation of Type 2 Diabetes Mellitus with Gender, Education, and Marital Status in an Iranian Urban Population

Overview

Journal Rep Biochem Mol Biol

Specialty Biochemistry

Date 2016 Mar 19

PMID 26989710

Citations 13

Authors

Karamatollah Rahmanian

Mohammad Shojaei

Abdolreza Sotoodeh Jahromi

Affiliations

Soon will be listed here.

Abstract

Background: Type 2 diabetes mellitus is one of the most important cardiovascular risk factors.

Objectives: This study was performed to assess the relationship of diabetes with gender, education, and marital status in an Iranian urban population.

Methods: A total of 892 men and women aged 30-85 were recruited using a cluster-stratified sampling method from an urban population. Using a questionnaire, demographical data including gender, education, and marital status were collected. A blood sample after fasting for at least eight hours was collected from each subject. Associations of type 2 diabetes mellitus and studied variables were tested for significance.

Results: The prevalence of diabetes mellitus was 11.6%; 11.1% in men and 12.1% in women with no significant difference between them. Diabetes mellitus was most prevalent in the oldest age (age more than 60 years, 22.9%) and low education groups (17.9%, P < 0.001). Marital status was not significantly related to diabetes mellitus (P= 0.37).

Conclusion: The prevalence of diabetes mellitus is related to education within the Iranian population. Thus preventive strategies should be based on the affective factors.

Citing Articles

An updated systematic review and Meta-analysis of the prevalence of type 2 diabetes in Iran, 1996-2023.

Hazar N, Jokar M, Namavari N, Hosseini S, Rahmanian V Front Public Health. 2024; 12:1322072.

PMID: 38638475 PMC: 11025666. DOI: 10.3389/fpubh.2024.1322072.

Demographic variables, anthropometric indices, sleep quality, Metabolic Equivalent Task (MET), and developing diabetes in the southwest of Iran.

Hosseini S, Beiranvand S, Zarea K, Noemani K Front Public Health. 2023; 11:1020112.

PMID: 36998281 PMC: 10043384. DOI: 10.3389/fpubh.2023.1020112.

Association of Polymorphisms within HOX Transcript Antisense RNA (HOTAIR) with Type 2 Diabetes Mellitus and Laboratory Characteristics: A Preliminary Case-Control Study.

Sargazi S, Ravanbakhsh M, Heidari Nia M, Mirinejad S, Sheervalilou R, Majidpour M Dis Markers. 2022; 2022:4327342.

PMID: 35359879 PMC: 8964191. DOI: 10.1155/2022/4327342.

Ahmad N, Baharom M, Aizuddin A, Ramli R PLoS One. 2021; 16(1):e0245304.

PMID: 33417609 PMC: 7793251. DOI: 10.1371/journal.pone.0245304.

Prevalence and clinical characteristics of metabolically unhealthy obesity in an Iranian adult population.

Rahmanian K, Shojaei M, Sotoodeh Jahromi A Diabetes Metab Syndr Obes. 2019; 12:1387-1395.

PMID: 31496776 PMC: 6698163. DOI: 10.2147/DMSO.S197476.

References

Anjana R, Pradeepa R, Deepa M, Datta M, Sudha V, Unnikrishnan R . Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: phase I results of the Indian Council of Medical Research-INdia DIABetes (ICMR-INDIAB) study. Diabetologia. 2011; 54(12):3022-7. DOI: 10.1007/s00125-011-2291-5. View

Zafar J, Bhatti F, Akhtar N, Rasheed U, Bashir R, Humayun S . Prevalence and risk factors for diabetes mellitus in a selected urban population of a city in Punjab. J Pak Med Assoc. 2012; 61(1):40-7. View

Albache N, Al Ali R, Rastam S, Fouad F, Mzayek F, Maziak W . Epidemiology of Type 2 diabetes mellitus in Aleppo, Syria. J Diabetes. 2010; 2(2):85-91. DOI: 10.1111/j.1753-0407.2009.00063.x. View

Lee C, Huxley R, Lam T, Martiniuk A, Ueshema H, Pan W . Prevalence of diabetes mellitus and population attributable fractions for coronary heart disease and stroke mortality in the WHO South-East Asia and Western Pacific regions. Asia Pac J Clin Nutr. 2007; 16(1):187-92. View

Esteghamati A, Gouya M, Abbasi M, Delavari A, Alikhani S, Alaedini F . Prevalence of diabetes and impaired fasting glucose in the adult population of Iran: National Survey of Risk Factors for Non-Communicable Diseases of Iran. Diabetes Care. 2007; 31(1):96-8. DOI: 10.2337/dc07-0959. View

Krishnan S, Cozier Y, Rosenberg L, Palmer J . Socioeconomic status and incidence of type 2 diabetes: results from the Black Women's Health Study. Am J Epidemiol. 2010; 171(5):564-70. PMC: 2842221. DOI: 10.1093/aje/kwp443. View

Lee T, Glynn R, Pena J, Paynter N, Conen D, Ridker P . Socioeconomic status and incident type 2 diabetes mellitus: data from the Women's Health Study. PLoS One. 2011; 6(12):e27670. PMC: 3237410. DOI: 10.1371/journal.pone.0027670. View

Demakakos P, Marmot M, Steptoe A . Socioeconomic position and the incidence of type 2 diabetes: the ELSA study. Eur J Epidemiol. 2012; 27(5):367-78. DOI: 10.1007/s10654-012-9688-4. View

Poljicanin T, Sekerija M, Boras J, Kolaric B, Vuletic S, Metelko Z . Cumulative incidence of self-reported diabetes in Croatian adult population in relation to socioeconomic status and lifestyle habits. Coll Antropol. 2012; 36 Suppl 1:41-6. View

10.

Rathmann W, Haastert B, Icks A, Giani G, Holle R, Meisinger C . Sex differences in the associations of socioeconomic status with undiagnosed diabetes mellitus and impaired glucose tolerance in the elderly population: the KORA Survey 2000. Eur J Public Health. 2005; 15(6):627-33. DOI: 10.1093/eurpub/cki037. View

11.

Kavanagh A, Bentley R, Turrell G, Shaw J, Dunstan D, Subramanian S . Socioeconomic position, gender, health behaviours and biomarkers of cardiovascular disease and diabetes. Soc Sci Med. 2010; 71(6):1150-60. DOI: 10.1016/j.socscimed.2010.05.038. View

12.

Whitford D, Griffin S, Prevost A . Influences on the variation in prevalence of type 2 diabetes between general practices: practice, patient or socioeconomic factors?. Br J Gen Pract. 2003; 53(486):9-14. PMC: 1314486. View

13.

. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2008; 31 Suppl 1:S55-60. DOI: 10.2337/dc08-S055. View

14.

Tang M, Chen Y, Krewski D . Gender-related differences in the association between socioeconomic status and self-reported diabetes. Int J Epidemiol. 2003; 32(3):381-5. DOI: 10.1093/ije/dyg075. View

15.

Green C, Hoppa R, Young T, Blanchard J . Geographic analysis of diabetes prevalence in an urban area. Soc Sci Med. 2003; 57(3):551-60. DOI: 10.1016/s0277-9536(02)00380-5. View

16.

Shamseddeen H, Getty J, Hamdallah I, Ali M . Epidemiology and economic impact of obesity and type 2 diabetes. Surg Clin North Am. 2011; 91(6):1163-72, vii. DOI: 10.1016/j.suc.2011.08.001. View

17.

Hayashino Y, Yamazaki S, Nakayama T, Sokejima S, Fukuhara S . The association between socioeconomic status and prevalence of diabetes mellitus in rural Japan. Arch Environ Occup Health. 2010; 65(4):224-9. DOI: 10.1080/19338244.2010.486423. View

18.

Cao Y, Xue Y, Li C, Zhang M, Gao F, Xie C . [Epidemiological investigation of diabetes and prediabetes in community residents in the suburbs of Guangzhou]. Nan Fang Yi Ke Da Xue Xue Bao. 2010; 30(9):2122-4. View

19.

Fisher-Hoch S, Rentfro A, Salinas J, Perez A, Brown H, Reininger B . Socioeconomic status and prevalence of obesity and diabetes in a Mexican American community, Cameron County, Texas, 2004-2007. Prev Chronic Dis. 2010; 7(3):A53. PMC: 2879985. View

20.

Bosi P, Carvalho A, Contrera D, Casale G, Pereira M, Gronner M . [Prevalence of diabetes and impaired glucose tolerance in the urban population of 30 to 79 years of the city of São Carlos, São Paulo]. Arq Bras Endocrinol Metabol. 2009; 53(6):726-32. DOI: 10.1590/s0004-27302009000600006. View