Diabetes Metab J.  2015 Jun;39(3):218-229. 10.4093/dmj.2015.39.3.218.

Prevalence of Depression and Glucose Abnormality in an Urbanizing Rural Population of Bangladesh

Affiliations
  • 1Institute of Health and Society, Section for International Health, University of Oslo, Oslo, Norway. drnatasha1976@gmail.com
  • 2Bangladesh University of Health Sciences, Diabetic Association of Bangladesh, Dhaka, Bangladesh.

Abstract

BACKGROUND
Depression and glucose abnormality are increasing in Bangladesh including its rural area. This study was designed to determine the prevalence of depression in an urbanizing rural population of Bangladesh with or without glucose abnormality (including diabetes mellitus [DM], and pre-diabetes which combines impaired fasting glucose and impaired glucose tolerance pre-DM).
METHODS
A total of 2,293 subjects aged > or =20 years were investigated. Sociodemographic and anthropometric details, blood pressure, fasting (fasting plasma glucose) and 2 hours after 75 g plasma glucose (2-hour plasma glucose), were studied. Montgomery-Asberg Depression Rating Scale was used to assess depression.
RESULTS
The overall prevalence of DM was 7.9% and pre-DM was 8.6%. Prevalence of depression was 15.31% (n=351; 95% confidence interval [CI], 1.59 to 1.36) with mean depressive score 17.62+/-3.49. Female were more likely to have depression (17.16%). The 22.35% of male and 29.46% of female with pre-DM and 26.58% male and 36.27% female with DM had depressive symptoms. There was no significant variation in the mean age of different groups (healthy, depressed and with glucose abnormality). Depression was significantly associated with age, marital status, occupation, high physical activity, and low body mass index. The odds ratio (OR) for depression was significantly increased in patients with glucose abnormality compared with those without pre-DM (OR, 2.49; 95% CI, 1.76 to 3.51; P<0.000) and DM (OR, 3.27; 95% CI, 2.33 to 4.60; P<0.000).
CONCLUSION
Prevalence of depression found alarming in our study area though lesser than previous studies and it is significantly related to glucose abnormality. The study reveals that mental health should get more focused specially along with metabolic diseases.

Keyword

Bangladesh; Depression; Diabetes mellitus; Glucose abnormality; Prediabetic state; Urbanizing rural

MeSH Terms

Bangladesh*
Blood Glucose
Blood Pressure
Body Mass Index
Depression*
Diabetes Mellitus
Fasting
Female
Glucose*
Humans
Male
Marital Status
Mental Health
Metabolic Diseases
Motor Activity
Occupations
Odds Ratio
Plasma
Prediabetic State
Prevalence*
Rural Population*
Glucose

Reference

1. Firoz AH, Karim ME, Alam MF. Community based multi-centric service oriented research on mental illness with focus on awareness, prevalence, care, acceptance and follow-up in Bangladesh. Manual on Mental Health for primary health care physicians. 2nd ed. The National Institute of Mental Health & World Health Organization;2007.
2. Hosain GM, Chatterjee N, Ara N, Islam T. Prevalence, pattern and determinants of mental disorders in rural Bangladesh. Public Health. 2007; 121:18–24.
3. Rahim MA, Azad Khan AK, Nahar Q, Ali SM, Hussain A. Impaired fasting glucose and impaired glucose tolerance in rural population of Bangladesh. Bangladesh Med Res Counc Bull. 2010; 36:47–51.
4. World Health Organization. Diabetes programme. updated 2011 Sep 30. Available from: http://www.who.int/diabetes/en.
5. Poongothai S, Anjana RM, Pradeepa R, Ganesan A, Umapathy N, Mohan V. Prevalence of depression in relation to glucose intolerance in urban south Indians: the Chennai Urban Rural Epidemiology Study (CURES-76). Diabetes Technol Ther. 2010; 12:989–994.
6. Zahid N, Asghar S, Claussen B, Hussain A. Depression and diabetes in a rural community in Pakistan. Diabetes Res Clin Pract. 2008; 79:124–127.
7. Asghar S, Hussain A, Ali SM, Khan AK, Magnusson A. Prevalence of depression and diabetes: a population-based study from rural Bangladesh. Diabet Med. 2007; 24:872–877.
8. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004; 27:1047–1053.
9. Ramachandran A, Snehalatha C, Latha E, Manoharan M, Vijay V. Impacts of urbanisation on the lifestyle and on the prevalence of diabetes in native Asian Indian population. Diabetes Res Clin Pract. 1999; 44:207–213.
10. World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF consultation. Geneva: World Health Organization;2006.
11. Bhowmik B, Binte Munir S, Ara Hossain I, Siddiquee T, Diep LM, Mahmood S, Mahtab H, Khan AK, Hussain A. Prevalence of type 2 diabetes and impaired glucose regulation with associated cardiometabolic risk factors and depression in an urbanizing rural community in bangladesh: a population-based cross-sectional study. Diabetes Metab J. 2012; 36:422–432.
12. Choo V. WHO reassesses appropriate body-mass index for Asian populations. Lancet. 2002; 360:235.
13. Bassett J. International Diabetes Institute. World Health Organization Regional Office for the Western Pacific. International Association for the Study of Obesity. International Obesity Task Force. The Asia-Pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia;2000.
14. 1999 World Health Organization-International Society of Hypertension guidelines for the management of hypertension. Guidelines subcommittee. J Hypertens. 1999; 17:151–183.
15. Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry. 1979; 134:382–389.
16. Bangladesh Bureau of Statistics. Statistical pocket book of Bangladesh. Dacca: Statistical Division, Ministry of Planning;2001.
17. de Jonge P, Roy JF, Saz P, Marcos G, Lobo A. ZARADEMP Investigators. Prevalent and incident depression in community-dwelling elderly persons with diabetes mellitus: results from the ZARADEMP project. Diabetologia. 2006; 49:2627–2633.
18. Blazer DG, Moody-Ayers S, Craft-Morgan J, Burchett B. Depression in diabetes and obesity: racial/ethnic/gender issues in older adults. J Psychosom Res. 2002; 53:913–916.
19. Sevincok L, Guney E, Uslu A, Baklaci F. Depression in a sample of Turkish type 2 diabetes patients. Eur Psychiatry. 2001; 16:229–231.
20. Vogelzangs N, Suthers K, Ferrucci L, Simonsick EM, Ble A, Schrager M, Bandinelli S, Lauretani F, Giannelli SV, Penninx BW. Hypercortisolemic depression is associated with the metabolic syndrome in late-life. Psychoneuroendocrinology. 2007; 32:151–159.
21. Chowdhury AK. Symptomatology of depressive disorders in Bangladesh. Bangladesh Med Res Counc Bull. 1979; 5:47–59.
22. Ali N, Jyotsna VP, Kumar N, Mani K. Prevalence of depression among type 2 diabetes compared to healthy non diabetic controls. J Assoc Physicians India. 2013; 61:619–621.
23. Sung HN, Chae HS, Kim ES, Kim JS. Diabetes and depressive symptoms in Korean women: the fifth Korean National Health and Nutrition Examination Survey (2010-2011). Korean J Fam Med. 2014; 35:127–135.
24. Khamseh ME, Baradaran HR, Rajabali H. Depression and diabetes in Iranian patients: a comparative study. Int J Psychiatry Med. 2007; 37:81–86.
25. Sotiropoulos A, Papazafiropoulou A, Apostolou O, Kokolaki A, Gikas A, Pappas S. Prevalence of depressive symptoms among non insulin treated Greek type 2 diabetic subjects. BMC Res Notes. 2008; 1:101.
26. Goldney RD, Phillips PJ, Fisher LJ, Wilson DH. Diabetes, depression, and quality of life: a population study. Diabetes Care. 2004; 27:1066–1070.
27. Ali S, Davies MJ, Taub NA, Stone MA, Khunti K. Prevalence of diagnosed depression in South Asian and white European people with type 1 and type 2 diabetes mellitus in a UK secondary care population. Postgrad Med J. 2009; 85:238–243.
28. Hussain A, Vaaler S, Sayeed MA, Mahtab H, Ali SM, Khan AK. Type 2 diabetes and impaired fasting blood glucose in rural Bangladesh: a population-based study. Eur J Public Health. 2007; 17:291–296.
29. Balkau B, Deanfield JE, Despres JP, Bassand JP, Fox KA, Smith SC Jr, Barter P, Tan CE, Van Gaal L, Wittchen HU, Massien C, Haffner SM. International Day for the Evaluation of Abdominal Obesity (IDEA): a study of waist circumference, cardiovascular disease, and diabetes mellitus in 168,000 primary care patients in 63 countries. Circulation. 2007; 116:1942–1951.
30. Jenum AK, Holme I, Graff-Iversen S, Birkeland KI. Ethnicity and sex are strong determinants of diabetes in an urban Western society: implications for prevention. Diabetologia. 2005; 48:435–439.
31. Chowdhury TA, Lasker SS, Mahfuz R. Ethnic differences in control of cardiovascular risk factors in patients with type 2 diabetes attending an Inner London diabetes clinic. Postgrad Med J. 2006; 82:211–215.
Full Text Links
  • DMJ
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr