---
title: "Association of Obesity with Microalbuminuria in Children and Adolescents with Diabetes in Banglade"
id: "pubmed-42811849"
canonical_url: "https://medichelpline.com/clinical-feed/pubmed-42811849"
content_type: "clinical_feed_article"
specialty: "Pharmacology"
source_name: "PubMed / NCBI"
source_url: "https://pubmed.ncbi.nlm.nih.gov/42811849/"
published_at: "2026-10-01T00:00:00.000Z"
evidence_level: "Journal Article"
license: "CC-BY-NC-4.0 / Informational Use"
---
# Association of Obesity with Microalbuminuria in Children and Adolescents with Diabetes in Banglade
## Provenance & Clinical Metadata
- **Canonical URL:** https://medichelpline.com/clinical-feed/pubmed-42811849
- **Specialty:** [Pharmacology](https://medichelpline.com/clinical-feed/pharmacology.md)
- **Primary Source:** PubMed / NCBI
- **Source URL:** [Original Journal Publication](https://pubmed.ncbi.nlm.nih.gov/42811849/)
- **Published At:** 2026-10-01T00:00:00.000Z
- **Evidence Rating:** Journal Article
## Executive GIST (TL;DR)
- Cross-sectional study conducted at the Changing Diabetes in Children (CDiC) outpatient clinic, BIRDEM-2 Hospital, Bangladesh, over one year (July 2018–June 2019). - Total sample size was 512 children and adolescents with diabetes mellitus. - Diabetes diagnoses were made per WHO, ISPAD and Mohan's criteria; the cohort comprised **type 1 diabetes** (61.9%) and **type 2 diabetes** (38.1%). - Anthropometric data collected included height, weight and waist circumference; **BMI** was calculated as kg/m² and categorized using CDC percentiles (<5th underweight, 5th–85th normal, 85th–<95th overweight, ≥95th obese). - Urine microalbumin and spot urine creatinine were measured by immunoturbidimetry on a 2000 DCA plus analyzer; **albumin‑creatinine ratio (ACR)** was calculated. - **Microalbuminuria** was defined as two consecutive positive spot‑urine samples; macroalbuminuria was also reported. - Prevalence reported: microalbuminuria in 88.7% and macroalbuminuria in 3.6% of the study population. - The study found that **overweight and obesity** were more frequent among participants with microalbuminuria than in other BMI categories; this association was statistically significant (p < 0.001). - Statistical analysis used SPSS for Windows version 20.0; associations tested with chi‑square test. - Authors conclude that early diagnosis and screening of obese diabetic children and adolescents may allow regression of microalbuminuria and prevent progression; specific intervention details and long‑term outcomes were not reported in the abstract.
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Mymensingh Med J. 2026 Oct. Show details Display options Display options Format Abstract PubMed PMID Mymensingh Med J Actions * [ Search in PubMed ](https://pubmed.ncbi.nlm.nih.gov/?term=%22Mymensingh+Med+J%22%5Bjour%5D&sort=date&sort_order=desc) * [ Search in NLM Catalog ](https://www.ncbi.nlm.nih.gov/nlmcatalog?term=%22Mymensingh+Med+J%22%5BTitle+Abbreviation%5D) * [ Add to Search ](https://pubmed.ncbi.nlm.nih.gov/42811849/) . 2026 Oct;35(4):1180-1183. ### Authors [S T Huq](https://pubmed.ncbi.nlm.nih.gov/?term=Huq+ST&cauthor_id=42811849)[ 1 ](https://pubmed.ncbi.nlm.nih.gov/42811849/#short-view-affiliation-1 "Dr Sultana Tahmina Huq, Associate Professor, Department of Biochemistry, Prime Medical College, Rangpur, Bangladesh; E-mail: farihalipon@gmail.com."), [T Hamid](https://pubmed.ncbi.nlm.nih.gov/?term=Hamid+T&cauthor_id=42811849), [M Parveen](https://pubmed.ncbi.nlm.nih.gov/?term=Parveen+M&cauthor_id=42811849), [M S Hossain](https://pubmed.ncbi.nlm.nih.gov/?term=Hossain+MS&cauthor_id=42811849) ### Affiliation * 1 Dr Sultana Tahmina Huq, Associate Professor, Department of Biochemistry, Prime Medical College, Rangpur, Bangladesh; E-mail: farihalipon@gmail.com. * PMID: **42811849** Item in Clipboard Cite Display options Display options Format Abstract PubMed PMID Linked Discoveries ## Abstract The study, a cross sectional survey, was carried out at the Changing Diabetes in Children (CDiC) Outpatient Department of CDiC, BIRDEM-2 Hospital over a 1-year period from July 2018 to June 2019. Diabetes mellitus was diagnosed according to WHO, ISPAD and Mohan's criteria. Height, weight and waist circumference were recorded and body mass index (BMI) scores were calculated as weight (kg)/height (m²). BMI was classified using the cutoff points (<5th percentile underweight, 5th - 85th percentile normal, 85th - <95th percentile overweight and ≥95th percentile as obese) using the Center for Disease control and Prevention growth chart. To determine microalbuminuria, urine microalbumin and spot urine creatinine were measured by Immunoturbidimetry method using 2000 DCA plus analyzer and Albumin Creatinine Ratio (ACR) was calculated. Microalbuminuria was defined when two consecutive samples of spot urine were positive. Statistical analysis was performed with the help of software SPSS for Windows (statistical package for social science), 20.0 version. Association between the two groups was evaluated by using Students chi square test. Of the total participant 512, type 1 diabetes mellitus were 61.9% and type 2 diabetes mellitus 38.1% were observed that microalbuminuria was 88.7% and macroalbuminuria was 3.6% in diabetes mellitus children and adolescents. The study revealed that overweight and obesity were high in microalbuminuria than other parameters of BMI and that were statistically significant (p<0.001). Early diagnosis and screening of these diabetic children and adolescents with obesity can regress microalbuminuria and also prevent further progression. [PubMed Disclaimer](https://pubmed.ncbi.nlm.nih.gov/disclaimer/) ## Similar articles * [ Effect of Type 1 Diabetes Mellitus on Height, Weight and Body Mass Index in Children and Adolescents Attending a Specialized Diabetes Care Center of Bangladesh. ](https://pubmed.ncbi.nlm.nih.gov/34226460/) Jesmin E, Zabeen B, Kamrul-Hasan AB.Jesmin E, et al.Mymensingh Med J. 2021 Jul;30(3):710-717.Mymensingh Med J. 2021.PMID: 34226460 * [ Being overweight modifies the association between cardiovascular risk factors and microalbuminuria in adolescents. ](https://pubmed.ncbi.nlm.nih.gov/18166555/) Nguyen S, McCulloch C, Brakeman P, Portale A, Hsu CY.Nguyen S, et al.Pediatrics. 2008 Jan;121(1):37-45. doi: 10.1542/peds.2007-3594.Pediatrics. 2008.PMID: 18166555Free PMC article. * [ The effectiveness of web-based programs on the reduction of childhood obesity in school-aged children: A systematic review. ](https://pubmed.ncbi.nlm.nih.gov/27820152/) Antwi F, Fazylova N, Garcon MC, Lopez L, Rubiano R, Slyer JT.Antwi F, et al.JBI Libr Syst Rev. 2012;10(42 Suppl):1-14. doi: 10.11124/jbisrir-2012-248.JBI Libr Syst Rev. 2012.PMID: 27820152 * [ Identifying obesity/overweight status in children and adolescents; A cross-sectional medical record review of physicians' weight screening practice in outpatient clinics, Saudi Arabia. ](https://pubmed.ncbi.nlm.nih.gov/31022236/) Nasim M, Aldamry M, Omair A, AlBuhairan F.Nasim M, et al.PLoS One. 2019 Apr 25;14(4):e0215697. doi: 10.1371/journal.pone.0215697. eCollection 2019.PLoS One. 2019.PMID: 31022236Free PMC article. * [ Prevalence of type 2 diabetes mellitus, metabolic syndrome, and related morbidities in overweight and obese children. ](https://pubmed.ncbi.nlm.nih.gov/35026882/) Dündar İ, Akıncı A.Dündar İ, et al.J Pediatr Endocrinol Metab. 2022 Jan 17;35(4):435-441. doi: 10.1515/jpem-2021-0271. 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