The study of socioeconomic status, hematological variations and biochemical analysis among diabetic patients

Authors

  • Rana Asad Ashraf Department of Zoology, Faculty of Life Sciences, University of Okara, Okara, Pakistan Author
  • Muhammad Faiz Ahmad Awaisi Department of Zoology, Faculty of Life Sciences, University of Okara, Okara, Pakistan Author
  • Hafiza Fizzah Riaz Department of Zoology, The Islamia University of Bahawalpur, Rahim Yar Khan campus,Pakistan Author
  • Muhammad Ali Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, Indonesia Author
  • Yasir Nawaz Department of Zoology, Faculty of Life Sciences, University of Okara, Okara, Pakistan Author
  • Nazish Mazhar Department of Zoology, Government College University Lahore, Lahore, Pakistan Author
  • Nageen Hussain Institute of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan Author
  • Fouzia Tanvir Department of Zoology, Faculty of Life Sciences, University of Okara, Okara, Pakistan Author
  • Maham Chaudhry Department of Zoology, Government College University Lahore, Lahore, Pakistan Author
  • Aqsa Shafiq Department of Zoology, Faculty of Life Sciences, University of Okara, Okara, Pakistan Author
  • Saima Shokat Department of Zoology, Government College University Lahore, Lahore, Pakistan Author
  • Samreen Riaz Institute of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan Author

DOI:

https://doi.org/10.17720/HOM/954

Keywords:

Diabetes, Type I diabetes, Type II diabetes, Hematology, Biochemical changes

Abstract

Diabetes Mellitus is a chronic metabolic disease marked by increased blood glucose level, leads to long-term hyperglycemia. Socioeconomic situation has crucial role in glycemic management.
ematological changes can be caused by several factors. Blood tests for biochemical analysis are simplest way to monitor kidney function. The work aimed to assess the socioeconomic status and hematological variations with the biochemical changes among patients. The questionnaire Performa was designed to collect data during interview. The blood samples was collected for hematological and biochemical analysis. The significant demographic and clinical features among diabetic patients, with middle-aged, between 41 to 60 years, and more females with non-significant differences. More people reside in rural areas, but gender distribution between rural and urban was similar. Income status shows most patients were from lower middle class, with a notable gender disparity in upper middle class. Male smokers were significantly more prevalent,indicating higher health risk in this group. Blood tests reveal lower hemoglobin levels, elevated white blood cell counts, and possible anemia in case group, with signs of macrocytic anemia and blood disorders. Biochemically, the case group shows higher urea, random blood glucose, and sodium levels, indicating potential kidney dysfunction, poorly controlled diabetes, and hypernatremia. To conclude, the most diabetic patients were middle-aged, with no significant gender or residency differences. Blood tests indicate anemia, inflammation, kidney issues, and poorly controlled diabetes in the case group. This suggested the need for targeted interventions,for at-risk groups like middle-aged, rural, and lower-income individuals, with focus on male smoking habits.

Downloads

Download data is not yet available.

References

Whiting DR, Guariguata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes research and clinical practice. 2011;94(3):311-21.

Organization WH. Diabetes 2023 [Available from: https://www.who.int/news-room/fact-sheets/detail/diabetes.

Shah AD, Langenberg C, Rapsomaniki E, Denaxas S, Pujades-Rodriguez M, Gale CP, et al. Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1· 9 million people. The lancet Diabetes & endocrinology. 2015;3(2):105-13.

Bertoni AG, Hundley WG, Massing MW, Bonds DE, Burke GL, Goff Jr DC. Heart failure prevalence, incidence, and mortality in the elderly with diabetes. Diabetes care. 2004;27(3):699-703.

Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge A, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes research and clinical practice. 2018;138:271-81.

Fano V, Pezzotti P, Gnavi R, Bontempi K, Miceli M, Pagnozzi E, et al. The role of socio-economic factors on prevalence and health outcomes of persons with diabetes in Rome, Italy. The European Journal of Public Health. 2013;23(6):991-7.

King H, Keuky L, Seng S, Khun T, Roglic G, Pinget M. Diabetes and associated disorders in Cambodia: two epidemiological surveys. The Lancet. 2005;366(9497):1633-9.

Gregg EW, Zhuo X, Cheng YJ, Albright AL, Narayan KV, Thompson TJ. Trends in lifetime risk and years of life lost due to diabetes in the USA, 1985–2011: a modelling study. The lancet Diabetes &endocrinology. 2014;2(11):867-74.

Shera AS, Basit A, Fawwad A, Hakeem R, Ahmedani MY, Hydrie MZI, et al. Pakistan National Diabetes Survey: prevalence of glucose intolerance and associated factors in the Punjab Province of Pakistan. Primary care diabetes. 2010;4(2):79-83.

Kaur R, Kaur M, Singh J. Endothelial dysfunction and platelet hyperactivity in type 2 diabetes mellitus: molecular insights and therapeutic strategies. Cardiovascular diabetology. 2018;17:1-17.

Agu KC. Diabetes mellitus: A review of some of the prognostic markers of response to treatment and management. Journal of Insulin Resistance. 2018;3(1):1-10.

Demirtas L, Degirmenci H, Akbas EM, Ozcicek A, Timuroglu A, Gurel A, et al. Association of hematological indicies with diabetes, impaired glucose regulation and microvascular complications of diabetes. International journal of clinical and experimental medicine. 2015;8(7):11420.

Vozarova B, Weyer C, Lindsay RS, Pratley RE, Bogardus C, Tataranni PA. High white blood cell count is associated with a worsening of insulin sensitivity and predicts the development of type 2 diabetes. Diabetes. 2002;51(2):455-61.

Korniluk A, Koper-Lenkiewicz OM, Kamińska J, Kemona H, Dymicka-Piekarska V. Mean platelet volume (MPV): new perspectives for an old marker in the course and prognosis of inflammatory conditions. Mediators of inflammation. 2019;2019(1):9213074.

Pujani M, Gahlawat H, Agarwal C, Chauhan V, Singh K, Lukhmana S. Platelet parameters: Can they serve as biomarkers of glycemic control or development of complications in evaluation of type 2 diabetes mellitus? Iraqi Journal of Hematology. 2018;7(2):72-8.

Tavil Y, Sen N, Yazici H, Turfan M, Hizal F, Cengel A, et al. Coronary heart disease is associated with mean platelet volume in type 2 diabetic patients. Platelets. 2010;21(5):368-72.

Tauseef A, Fareed W, Yamin M, Altaf R, Farooq A, Alam T. Relationship of Changes in Blood-Glucose Level with Albuminuria in Diabetic Patients Reporting in Civil Hospital-Karachi. 2016.

Pratik MS, Bhargavi AR, Reddy NMN, Reddy KV. Serum Uric Acid Levels in Type II diabetes Mellitus: Rajiv Gandhi University of Health Sciences; 2019.

Association AD. Standards of medical care in diabetes—2011. Diabetes care.

;34(Supplement_1):S11-S61.

Patten M. Questionnaire research: A practical guide: routledge; 2016.

Kang H. The prevention and handling of the missing data. Korean journal of anesthesiology.

;64(5):402-6.

Alshaarawy O. Total and differential white blood cell count in cannabis users: Results from the cross-sectional National Health and Nutrition Examination Survey, 2005–2016. Journal of cannabis research. 2019;1:1-7.

Ezeani I, Eregie A, Ogedengbe O. Comparing Biochemical Profile of Admitted Patients with the Various Groups of Hyperglycemic Emergencies. vol. 2013;7:49-56.

Pallant J. SPSS survival manual: A step by step guide to data analysis using IBM SPSS: Routledge;2020.

Field A. Discovering statistics using IBM SPSS statistics. sage London; 2013.

Kumar R. Research methodology: A step-by-step guide for beginners. 2018.

Wilmot E, Idris I. Early onset type 2 diabetes: risk factors, clinical impact and management.

herapeutic advances in chronic disease. 2014;5(6):234-44.

Funakoshi M, Azami Y, Matsumoto H, Ikota A, Ito K, Okimoto H, et al. Socioeconomic status and type 2 diabetes complications among young adult patients in Japan. PloS one. 2017;12(4):e0176087.

Bihan H, Laurent S, Sass C, Nguyen G, Huot C, Moulin JJ, et al. Association among individual deprivation, glycemic control, and diabetes complications: the EPICES score. Diabetes care.

;28(11):2680-5.

Scanlon PH, Carter S, Foy C, Husband R, Abbas J, Bachmann M. Diabetic retinopathy and socioeconomic deprivation in Gloucestershire. Journal of Medical Screening. 2008;15(3):118-21.

Reisig V, Reitmeir P, Döring A, Rathmann W, Mielck A, Group KS. Social inequalities and outcomes in type 2 diabetes in the German region of Augsburg. A cross-sectional survey. International Journal of Public Health. 2007;52:158-65.

Bachmann M, Eachus J, Hopper C, Davey Smith G, Propper C, Pearson N, et al. Socio-economic inequalities in diabetes complications, control, attitudes and health service use: a cross-sectional study.

iabetic Medicine. 2003;20(11):921-9.

Low L, Law JP, Hodson J, McAlpine R, O'Colmain U, MacEwen C. Impact of socioeconomic deprivation on the development of diabetic retinopathy: a population-based, cross-sectional and longitudinal study over 12 years. BMJ open. 2015;5(4):e007290.

Nishi N, Makino K, Fukuda H, Tatara K. Effects of socioeconomic indicators on coronary risk factors, self-rated health and psychological well-being among urban Japanese civil servants. Social science & medicine. 2004;58(6):1159-70.

Nagaya T, Yoshida H, Takahashi H, Kawai M. Incidence of type-2 diabetes mellitus in a large population of Japanese male white-collar workers. Diabetes research and clinical practice.

;74(2):169-74.

Fukuda Y, Hiyoshi A. Association of income with symptoms, morbidities and healthcare usage among Japanese adults. Environmental health and preventive medicine. 2012;17:299-306.

Hayashino Y, Yamazaki S, Nakayama T, Sokejima S, Fukuhara S. The association between socioeconomic status and prevalence of diabetes mellitus in rural Japan. Archives of environmental &occupational health. 2010;65(4):224-9.

Osman N, Mansour M. Measurement of some haematological parameters in diabetic patient attending military hospsital in Omdurman. Sudan Univ Sci Technol Institutional Digit Repos.

;2013:0-1.

Harish Kumar S, Srinivasa S, Prabhakar K. Haematological profile of diabetes and non-diabetes patients in rural tertiary centre. Int J Adv Med. 2017;4(5):1271-5.

Ali MH, Hassan AJ. Assessment of the alteration of blood indices in patients with type 2 diabetic mellitus: A cross-sectional study. Mustansiriya Medical Journal. 2019;18(1):24-9.

Olana C, Seifu D, Menon M, Natesan G. Abnormal hematological indices and anthropometric parameters associated with type 2 Diabetes. Int J Biomed Adv Res. 2019;10(11):1-8.

Hwang J, Shon C. Relationship between socioeconomic status and type 2 diabetes: results from Korea National Health and Nutrition Examination Survey (KNHANES) 2010–2012. BMJ open.

;4(8):e005710.

Cho YI, Mooney MP, Cho DJ. Hemorheological disorders in diabetes mellitus. Journal of diabetes science and technology. 2008;2(6):1130-8.

Biadgo B, Melku M, Abebe SM, Abebe M. Hematological indices and their correlation with fasting blood glucose level and anthropometric measurements in type 2 diabetes mellitus patients in Gondar, Northwest Ethiopia. Diabetes, metabolic syndrome and obesity: targets and therapy. 2016:91-9.

Jabeen F, Rizvi HA, Aziz F, Wasti AZ. Hyperglycemic induced variations in hematological indices in type 2 diabetics. IJAR. 2013;1(8):322-34.

Ellinger V, Carlini LT, Moreira RO, Meirelles RM. Relation between insulin resistance and hematological parameters in a Brazilian sample. Arquivos Brasileiros de Endocrinologia & Metabologia.

;50:114-7.

Arkew M, Yemane T, Mengistu Y, Gemechu K, Tesfaye G. Hematological parameters of type 2 diabetic adult patients at Debre Berhan Referral Hospital, Northeast Ethiopia: A comparative cross-sectional study. PloS one. 2021;16(6):e0253286.

Al Shehri ZS. The relationship between some biochemical and hematological changes in type 2 diabetes mellitus. Biomedical Research and Therapy. 2017;4(11):1760-74.

Alba-Loureiro TC, Munhoz CD, Martins J, Cerchiaro G, Scavone C, Curi R, et al. Neutrophil function and metabolism in individuals with diabetes mellitus. Brazilian Journal of Medical and Biological Research. 2007;40:1037-44.

Gkrania-Klotsas E, Ye Z, Cooper AJ, Sharp SJ, Luben R, Biggs ML, et al. Differential white blood

cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. PloS one. 2010;5(10):e13405.

Lee RH, Bergmeier W. Sugar makes neutrophils RAGE: linking diabetes-associated hyperglycemia to thrombocytosis and platelet reactivity. The Journal of clinical investigation. 2017;127(6):2040-3.

Debra Manzella R. Kidney disease in diabetes. 2008.

Varghese A, Deepa R, Rema M, Mohan V. Prevalence of microalbuminuria in type 2 diabetes mellitus at a diabetes centre in southern India. Postgraduate medical journal. 2001;77(908):399-402.

El Meligi Amr A, El Kateb SM, El Khawaga AM. Elevated serum leptin levels in type 2 diabetic patients with diabetic nephropathy. Sci Med J ESCME. 2003;15.

Warram JH, Martin BC, Krolewski AS, Soeldner JS, Kahn CR. Slow glucose removal rate and hyperinsulinemia precede the development of type II diabetes in the offspring of diabetic parents.

nnals of internal medicine. 1990;113(12):909-15.

Day C, Bailey CJ. Obesity in the pathogenesis of type 2 diabetes. The British Journal of Diabetes

Vascular Disease. 2011;11(2):55-61.

Published

2024-04-30

How to Cite

Asad Ashraf, R., Faiz Ahmad Awaisi, M., Fizzah Riaz, H., Ali, M., Nawaz, Y., Mazhar, N., Hussain, N., Tanvir, F., Chaudhry, M., Shafiq, A., Shokat, S., & Riaz, S. (2024). The study of socioeconomic status, hematological variations and biochemical analysis among diabetic patients. History of Medicine, 10(2), 998-1014. https://doi.org/10.17720/HOM/954