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Letter
Anthropometric Changes and Risk of Visual Impairment in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
Ahnul Ha1,2, Sangjun Shin3, Jeongwoo Lee3, Sooyeon Choe4,5orcidcorresp_icon, Young Kook Kim6,7orcidcorresp_icon
Diabetes & Metabolism Journal 2025;49(6):1338-1341.
DOI: https://doi.org/10.4093/dmj.2025.0779
Published online: November 1, 2025
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1Department of Ophthalmology, Jeju National University Hospital, Jeju, Korea

2Department of Ophthalmology, Jeju National University College of Medicine, Jeju, Korea

3Laboratory of Ophthalmology, SAMIL Pharmaceutical Co., Ltd., Seoul, Korea

4Department of Ophthalmology, Ajou University Hospital, Suwon, Korea

5Department of Ophthalmology, Ajou University School of Medicine, Suwon, Korea

6Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea

7Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea

corresp_icon Corresponding authors: Young Kook Kim orcid Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea E-mail: eyedry@snu.ac.kr
Sooyeon Choe orcid Department of Ophthalmology, Ajou University Hospital, Ajou University School of Medicine, 164 World cup-ro, Yeongtong-gu, Suwon 16499, Korea E-mail: syeonnie108@gmail.com

Copyright © 2025 Korean Diabetes Association

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Diabetes mellitus is a significant global health challenge, with prevalence increasing rapidly. In 2021, the International Diabetes Federation estimated that 537 million adults worldwide were living with diabetes, a figure projected to reach 783 million by 2045 [1]. Visual impairment (VI) is considered one of the most severe complications of diabetes, and patients with diabetes face a 25-fold higher risk of blindness compared with non-diabetic individuals [2]. Diabetic retinopathy is the most recognized cause of VI, but growing evidence suggests that metabolic changes related to diabetes also contribute to a wider range of ocular and systemic conditions affecting vision [3]. Identifying modifiable risk factors associated with VI is essential to prevention and early intervention.
Anthropometric measures such as body weight, body mass index (BMI), and waist circumference are widely recognized markers of metabolic health. Improvements in obesity-related indices have been shown to lower blood pressure, enhance insulin sensitivity, and reduce proteinuria [4,5]. However, longitudinal studies reveal that fluctuations in body weight and related measures are common, and such instability—reflecting metabolic dysregulation—may independently increase the risk of both macrovascular and microvascular complications [6,7]. Since these complications can contribute to VI, it is important to understand their implications.
To address this question, we investigated the association between changes in anthropometric measurements and risk of VI in patients newly diagnosed with type 2 diabetes mellitus (T2DM), using a nationwide cohort in Korea. From more than 21 million individuals aged 40 years or older who underwent health screening between 2010 and 2015, a total of 371,455 patients with newly diagnosed T2DM (mean age 56.2±9.3 years, 61.0% male) was included after applying a 2-year washout period. Patients lacking follow-up screening, with missing variables, or with prior VI were excluded. T2DM was defined by International Classification of Diseases, 10th Revision (ICD-10) codes with prescriptions for antidiabetic medications or fasting plasma glucose ≥126 mg/dL. Participants were categorized into seven groups of anthropometric change over a 4-year interval following the initial diabetes diagnosis: large decrease (≥15%), moderate decrease (≥10% and <15%), mild decrease (≥5% and <10%), stable (change <5%), mild increase (≥5% and <10%), moderate increase (≥10% and <15%), and large increase (≥15%).
The study outcome was new-onset VI, defined by ICD-10 codes indicating VI or blindness, corrected visual acuity <6/60, or official registration in the national disability registry. Patients were followed until VI, death, or December 2022. Covariates were demographic characteristics, lifestyle behaviors (smoking status, alcohol consumption, and regular exercise), comorbidities (hypertension, dyslipidemia, heart failure, ischemic stroke, and chronic kidney disease), and socioeconomic status. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for VI across anthropometric change categories, with the stable group as reference.
During a mean follow-up of 6.0 years, 3,864 cases of VI occurred, yielding an incidence rate of 1.73 per 1,000 person-years. Across body weight, BMI, and waist circumference, the stable groups consistently showed the lowest risk. Both increases and decreases in each anthropometric measure were associated with higher incidence of VI, with a graded trend such that larger changes corresponded to greater risk (Table 1).
After adjusting for all covariates, HRs for VI followed a U-shaped pattern across all three measures, with the greatest risks observed among those with changes exceeding 15%. Patients with a body weight increase ≥15% had an HR of 1.94 (95% CI, 1.50 to 2.51), those with a BMI increase ≥15% had an HR of 1.80 (95% CI, 1.40 to 2.32), and those with a waist circumference increase ≥15% had an HR of 1.45 (95% CI, 1.20 to 1.75), relative to the stable group. Importantly, not only large increases but also large decreases in body weight, BMI, or waist circumference were linked to higher VI risk, highlighting the detrimental impact of anthropometric instability regardless of direction.
These findings suggest that fluctuations in anthropometric measures, whether upward or downward, are associated with metabolic dysregulation and ocular complications in diabetes. VI in patients with diabetes can result from multiple pathologies, including diabetic retinopathy, macular edema, cataracts, glaucoma, and ischemic optic neuropathy [3]. Chronic hyperglycemia-induced microvascular injury remains the main mechanism, but obesity further exacerbates systemic inflammation, endothelial dysfunction, oxidative stress, and insulin resistance, all of which may contribute to vision-threatening diseases [8]. Conversely, unintentional weight loss may signal frailty or underlying illness, which can also predispose to complications. The observed U-shaped relationship underscores that both extremes—significant weight gain and loss—carry elevated risk.
Recent studies have shown that variability in body weight or BMI is associated with greater morbidity and mortality from cardiovascular diseases [6,9]. For microvascular complications, increased BMI has been linked to retinal vessel changes, and variability in waist circumference or BMI to higher risks of neuropathy and nephropathy [7,10]. Although the mechanisms remain unclear, we hypothesize that systemic metabolic dysregulation may exacerbate both microvascular and macrovascular complications, elevating the risk of VI.
The strengths of this study include its large, population-based cohort; extensive follow-up; and availability of repeated anthropometric measures, enabling evaluation of the association between changes in body weight, BMI, and waist circumference and the relatively rare outcome of VI. However, several limitations should be considered. First, changes in anthropometric measures were assessed within a defined timeframe, without accounting for subsequent changes during follow-up. Second, the National Health Insurance Service (NHIS) dataset lacked detailed clinical information such as glycated hemoglobin levels, which would allow better assessment of diabetes severity. Third, BMI and waist circumference have inherent limitations as surrogate measures of adiposity, as they cannot distinguish fat from muscle mass.
In conclusion, this large population-based cohort study demonstrated that anthropometric changes are independently associated with higher risk of VI in patients newly diagnosed with T2DM. A graded relationship was evident, with more pronounced anthropometric changes correlating with higher HRs of VI, as observed not only in groups with increasing body weight, BMI, and waist circumference but also in groups with significant reductions in these measures. Further research is necessary to elucidate the mechanisms linking anthropometric changes to VI.
This study protocol was approved by the Institutional Review Board of Seoul National University Hospital (IRB No. 2206-061-1331), Seoul, Korea. Informed consent was not required, as the analysis utilized deidentified and anonymized data.

CONFLICTS OF INTEREST

We confirm that there are no conflicts of interest related to SAMIL Pharmaceutical Co., Ltd. or any other commercial entities.

FUNDING

This study was supported by a research grant from the Jeju National University Hospital Development Fund in 2022 (No. 202200390001). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Table 1.
Incidence rates and HRs (95% CIs) for visual impairment across seven categories of changes in body weight, BMI, and waist circumference in newly diagnosed type 2 diabetes mellitus patients
Variable Total no. Events, n Incidence ratea HR (95% CI)
Model 1b Model 2c Model 3d
Weight change, %
 ≤–15 4,529 63 2.45 1.543 (1.201–1.982) 1.348 (1.049–1.732) 1.290 (1.004–1.658)
 –15< to ≤–10 14,907 210 2.37 1.477 (1.282–1.700) 1.372 (1.191–1.581) 1.342 (1.165–1.547)
 –10< to ≤–5 66,453 755 1.86 1.161 (1.069–1.260) 1.132 (1.042–1.228) 1.123 (1.034–1.219)
 –5< to <5 244,571 2,358 1.60 1 (reference) 1 (reference) 1 (reference)
 5≤ to <10 30,416 320 1.78 1.118 (0.995–1.257) 1.117 (0.994–1.256) 1.093 (0.972–1.228)
 10≤ to <15 7,501 99 2.26 1.423 (1.164–1.740) 1.423 (1.164–1.740) 1.374 (1.124–1.681)
 ≥15 3,078 59 3.30 2.076 (1.603–2.688) 2.051 (1.584–2.656) 1.940 (1.498–2.513)
BMI change, %
 ≤–15 4,197 62 2.60 1.614 (1.254–2.076) 1.441 (1.119–1.854) 1.376 (1.069–1.772)
 –15< to ≤–10 14,264 185 2.17 1.334 (1.148–1.549) 1.275 (1.098–1.481) 1.244 (1.071–1.446)
 –10< to ≤–5 62,519 687 1.80 1.106 (1.016–1.204) 1.098 (1.008–1.195) 1.090 (1.001–1.187)
 –5< to <5 245,132 2,396 1.62 1 (reference) 1 (reference) 1 (reference)
 5≤ to <10 33,819 366 1.83 1.135 (1.017–1.267) 1.114 (0.998–1.243) 1.092 (0.978–1.219)
 10≤ to <15 8,206 107 2.23 1.384 (1.141–1.680) 1.350 (1.112–1.639) 1.303 (1.073–1.582)
 ≥15 3,318 61 3.17 1.971 (1.529–2.542) 1.900 (1.473–2.449) 1.801 (1.396–2.322)
Waist change, %
 ≤–15 5,237 77 2.50 1.525 (1.215–1.914) 1.396 (1.112–1.753) 1.367 (1.088–1.717)
 –15< to ≤–10 18,211 199 1.82 1.109 (0.959–1.283) 1.052 (0.909–1.217) 1.044 (0.902–1.207)
 –10< to ≤–5 59,331 608 1.69 1.026 (0.937–1.122) 1.018 (0.930–1.114) 1.015 (0.928–1.111)
 –5< to <5 213,014 2,115 1.64 1 (reference) 1 (reference) 1 (reference)
 5≤ to <10 50,420 553 1.84 1.126 (1.025–1.236) 1.093 (0.996–1.201) 1.086 (0.989–1.193)
 10≤ to <15 17,797 198 1.89 1.154 (0.998–1.335) 1.089 (0.941–1.260) 1.072 (0.927–1.241)
 ≥15 7,445 114 2.63 1.616 (1.338–1.951) 1.484 (1.229–1.793) 1.449 (1.199–1.751)

HR, hazard ratio; CI, confidence interval; BMI, body mass index.

a Incidence per 1,000 person-years,

b Model 1 was unadjusted,

c Model 2 was adjusted for age and sex,

d Model 3 was adjusted for age, sex, hypertension, dyslipidemia, heart failure, ischemic stroke, chronic kidney disease, low income, smoking status, alcohol consumption, and regular exercise.

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        Anthropometric Changes and Risk of Visual Impairment in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
        Diabetes Metab J. 2025;49(6):1338-1341.   Published online November 1, 2025
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      Anthropometric Changes and Risk of Visual Impairment in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
      Anthropometric Changes and Risk of Visual Impairment in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
      Variable Total no. Events, n Incidence ratea HR (95% CI)
      Model 1b Model 2c Model 3d
      Weight change, %
       ≤–15 4,529 63 2.45 1.543 (1.201–1.982) 1.348 (1.049–1.732) 1.290 (1.004–1.658)
       –15< to ≤–10 14,907 210 2.37 1.477 (1.282–1.700) 1.372 (1.191–1.581) 1.342 (1.165–1.547)
       –10< to ≤–5 66,453 755 1.86 1.161 (1.069–1.260) 1.132 (1.042–1.228) 1.123 (1.034–1.219)
       –5< to <5 244,571 2,358 1.60 1 (reference) 1 (reference) 1 (reference)
       5≤ to <10 30,416 320 1.78 1.118 (0.995–1.257) 1.117 (0.994–1.256) 1.093 (0.972–1.228)
       10≤ to <15 7,501 99 2.26 1.423 (1.164–1.740) 1.423 (1.164–1.740) 1.374 (1.124–1.681)
       ≥15 3,078 59 3.30 2.076 (1.603–2.688) 2.051 (1.584–2.656) 1.940 (1.498–2.513)
      BMI change, %
       ≤–15 4,197 62 2.60 1.614 (1.254–2.076) 1.441 (1.119–1.854) 1.376 (1.069–1.772)
       –15< to ≤–10 14,264 185 2.17 1.334 (1.148–1.549) 1.275 (1.098–1.481) 1.244 (1.071–1.446)
       –10< to ≤–5 62,519 687 1.80 1.106 (1.016–1.204) 1.098 (1.008–1.195) 1.090 (1.001–1.187)
       –5< to <5 245,132 2,396 1.62 1 (reference) 1 (reference) 1 (reference)
       5≤ to <10 33,819 366 1.83 1.135 (1.017–1.267) 1.114 (0.998–1.243) 1.092 (0.978–1.219)
       10≤ to <15 8,206 107 2.23 1.384 (1.141–1.680) 1.350 (1.112–1.639) 1.303 (1.073–1.582)
       ≥15 3,318 61 3.17 1.971 (1.529–2.542) 1.900 (1.473–2.449) 1.801 (1.396–2.322)
      Waist change, %
       ≤–15 5,237 77 2.50 1.525 (1.215–1.914) 1.396 (1.112–1.753) 1.367 (1.088–1.717)
       –15< to ≤–10 18,211 199 1.82 1.109 (0.959–1.283) 1.052 (0.909–1.217) 1.044 (0.902–1.207)
       –10< to ≤–5 59,331 608 1.69 1.026 (0.937–1.122) 1.018 (0.930–1.114) 1.015 (0.928–1.111)
       –5< to <5 213,014 2,115 1.64 1 (reference) 1 (reference) 1 (reference)
       5≤ to <10 50,420 553 1.84 1.126 (1.025–1.236) 1.093 (0.996–1.201) 1.086 (0.989–1.193)
       10≤ to <15 17,797 198 1.89 1.154 (0.998–1.335) 1.089 (0.941–1.260) 1.072 (0.927–1.241)
       ≥15 7,445 114 2.63 1.616 (1.338–1.951) 1.484 (1.229–1.793) 1.449 (1.199–1.751)
      Table 1. Incidence rates and HRs (95% CIs) for visual impairment across seven categories of changes in body weight, BMI, and waist circumference in newly diagnosed type 2 diabetes mellitus patients

      HR, hazard ratio; CI, confidence interval; BMI, body mass index.

      Incidence per 1,000 person-years,

      Model 1 was unadjusted,

      Model 2 was adjusted for age and sex,

      Model 3 was adjusted for age, sex, hypertension, dyslipidemia, heart failure, ischemic stroke, chronic kidney disease, low income, smoking status, alcohol consumption, and regular exercise.

      Ha A, Shin S, Lee J, Choe S, Kim YK. Anthropometric Changes and Risk of Visual Impairment in Patients with Newly Diagnosed Type 2 Diabetes Mellitus. Diabetes Metab J. 2025;49(6):1338-1341.
      DOI: https://doi.org/10.4093/dmj.2025.0779.

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