Clinical profile of diabetes in the young seen between 1992 and 2009 at a specialist diabetes centre in south India
Abstract
Aim To describe the trends and clinical profile of young diabetic patients (YD) attending a tertiary diabetes centre in south India.Methods We reviewed medical records of 2630 YD patients (age at onset ≤25 years) registered between 1992 and 2009. Patients were classified as type 1 diabetes (T1DM), type 2 diabetes (T2DM) gestational diabetes mellitus (GDM) and other types. Retinopathy was assessed initially by direct and indirect ophthalmoscopy and later by retinal photography, nephropathy if urine protein excretion was >500 mg/day, neuropathy if vibration perception threshold on biothesiometry was ≥20 V.Results The percentage of YD patients rose from 0.55% in 1992 to 2.5% in 2009 (trend chi square, 15.1, p<0.001). Of the 2630 YD subjects registered, 1135 (43.2%) had T1DM, 1262 (48.0%) had T2DM, 118 (4.5%) had GDM and 115 (4.4%) other types. T1DM patients were younger, had lower body mass index, waist circumference, systolic and diastolic blood pressures, and less family history of diabetes compared to T2DM (p<0.001 for each). Retinopathy was seen in 71.9% and 77.3% nephropathy in 22.1% and 12.1% and neuropathy in 34.5% and 21.4% of T2DM and T1DM respectively in those with ≥15 years duration of diabetes.Conclusions The percentage of YD in south India is increasing, predominantly due to early onset T2DM.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Diabetes and heart disease incidence has greatly increased in India and China in the past 10 years, an epidemiological transition implying at best a change in penetrance of genetic effects due to the contemporary environment.
“diabetes and heart disease have greatly increased in incidence in India and China in the past 10 years60,61, an epidemiological transition that at best implies a change in penetrance of genetic effects attributable to any class of variant, rare or common, in the contemporary environment.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [60]
The citation lists haven’t been fetched yet
References 43 · Cited by 80
- Authors
- Amutha, A., Datta, M., Unnikrishnan, I. R., Anjana, R. M., Rema, M., Venkat Narayan, K. M., & Mohan, V.
- Affiliations
- Madras Diabetes Research Foundation (IN)
- Corresponding author
- Mohan, Viswanathan
- Venue
- Primary Care Diabetes
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 5
- Issue
- 4
- Pages
- 223-229
- ISSN
- 1751-9918 (ISSN-L)
- OpenAlex
- W2093993442
- Cited by
- 80
- References
- 43
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 5 · 2023: 4 · 2022: 5 · 2021: 7 · 2020: 8 · 2019: 5 · 2018: 3 · 2017: 6 · 2016: 9 · 2015: 5 · 2014: 4 · 2013: 4 · 2012: 4
- FWCI
- 3.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Primary care diabetes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Madras Diabetes Research Foundation
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- youth with diabetes, type 1 diabetes, type 2 diabetes, gestational diabetes mellitus, diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, diabetes prevalence trends, South India, clinical profile
- MeSH terms
- Adolescent, Adult, Analysis of Variance, Child, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Diabetic Nephropathies, Diabetic Neuropathies, Diabetic Retinopathy, Female, Humans, India, Male, Pregnancy, Registries, Retrospective Studies, Risk Factors, Time Factors, Prevalence, Chi-Square Distribution, Diabetes, Gestational, Age of Onset, Risk Assessment, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review