Diabetology & Metabolic Syndrome (Apr 2023)

The impact of insulin resistance on the association between metabolic syndrome and lung function: the Kangbuk Samsung Health Study

  • Jonghoo Lee,
  • Hye Kyeong Park,
  • Min-Jung Kwon,
  • Soo-Youn Ham,
  • Hyun-Il Gil,
  • Si-Young Lim,
  • Jae-Uk Song

DOI
https://doi.org/10.1186/s13098-023-01042-9
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 10

Abstract

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Abstract Background/Objective Metabolic syndrome (MS) is related to lung dysfunction. However, its impact according to insulin resistance (IR) remains unknown. Therefore, we evaluated whether the relation of MS with lung dysfunction differs by IR. Subject/Methods This cross-sectional study included 114,143 Korean adults (mean age, 39.6 years) with health examinations who were divided into three groups: metabolically healthy (MH), MS without IR, and MS with IR. MS was defined as presence of any MS component, including IR estimated by HOMA-IR ≥ 2.5. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for lung dysfunction were obtained in MS, MS without IR, and MS with IR groups compared with the MH (reference) group. Results The prevalence of MS was 50.7%. The percent predicted forced expiratory volume in 1 s (FEV1%) and forced vital capacity (FVC%) showed statistically significant differences between MS with IR and MH and between MS with IR and MS without IR (all P < 0.001). However, those measures did not vary between MH and MS without IR (P = 1.000 and P = 0.711, respectively). Compared to MH, MS was not at risk for FEV1% < 80% (1.103 (0.993–1.224), P = 0.067) or FVC% < 80% (1.011 (0.901–1.136), P = 0.849). However, MS with IR was clearly associated with FEV1% < 80% (1.374 (1.205–1.566) and FVC% < 80% (1.428 (1.237–1.647) (all p < 0.001), though there was no evident association for MS without IR (FEV1%: 1.078 (0.975–1.192, P = 0.142) and FVC%: 1.000 (0.896–1.116, p = 0.998)). Conclusion The association of MS with lung function can be affected by IR. However, longitudinal follow-up studies are required to validate our findings.

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