Journal of Diabetes Investigation (Mar 2023)

Association of self‐stigma with glycated hemoglobin: A single‐center, cross‐sectional study of adults with type 1 diabetes in Japan

  • Shoko Hamano,
  • Yukiko Onishi,
  • Yoko Yoshida,
  • Toshiko Takao,
  • Tazu Tahara,
  • Takako Kikuchi,
  • Toshiko Kobori,
  • Tetsuya Kubota,
  • Masahiko Iwamoto,
  • Masato Kasuga

DOI
https://doi.org/10.1111/jdi.13963
Journal volume & issue
Vol. 14, no. 3
pp. 479 – 485

Abstract

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Abstract Aims/Introduction There has been an increase in research on diabetes‐related stigma and its association with glycated hemoglobin (HbA1c) over the past years. However, little is known about the association of self‐stigma with HbA1c in persons with type 1 diabetes. This study aims to examine the association between self‐stigma and HbA1c in Japanese people with type 1 diabetes. Materials and Methods This cross‐sectional study was conducted at a clinic in Tokyo. Questionnaires using nine items from the Japanese version of the Self‐Stigma Scale was distributed to outpatients with type 1 diabetes, aged ≥18 years. We excluded outpatients with serious mental disorder, those who required urgent medical treatment or received hemodialysis. Adjusted linear regression analyses tested the association between the score of the 9‐item Self‐Stigma Scale and HbA1c. Results Questionnaires were distributed to 166 eligible participants. A total of 109 participants were included in the final analysis after excluding participants with incomplete answers and laboratory data. After adjusting for age, sex, employment status, body mass index, duration of diabetes and insulin secretion, there was a significant positive association between self‐stigma and HbA1c (β = 0.05, 95% confidence interval 0.01 to 0.08). Conclusions This cross‐sectional study showed a significant association between self‐stigma and HbA1c in persons with type 1 diabetes. Addressing self‐stigma might be as equally essential as measuring HbA1c in evaluating glycemic outcome among individuals with type 1 diabetes.

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