Evidence map›Paper›PMID 41325352›Full record

ArticlePloS one2025

Visit-to-visit glycemic variability is associated with lung function variables and lung function impairment in individuals with type 2 diabetes.

Yi-Hua Wu, Chia-Ing Li, Chiu-Shong Liu, Chih-Hsueh Lin, Shing-Yu Yang, Cheng-Chieh Lin, Tsai-Chung Li

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi-Hua WuCenter for Digestive Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan.ORCID https://orcid.org/0000-0003-4946-1257
Chia-Ing LiSchool of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Chiu-Shong LiuSchool of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Chih-Hsueh LinSchool of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Shing-Yu YangDepartment of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
Cheng-Chieh LinSchool of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Tsai-Chung LiDepartment of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.ORCID https://orcid.org/0000-0002-3346-7462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycemic variability (GV) is an emerging biomarker of glycemic control and may be a predictor for lung function impairment in persons with type 2 diabetes mellitus (T2DM). However, the associations between GV and lung function variables and lung function impairment have not been fully evaluated. The objective of this study was to assess the associations of glycemic variability (GV) with lung function impairment in persons with T2DM. A follow-up study was conducted on the data of 3,108 subjects collected from 2001 to 2020 using the diabetes care management program database in Taiwan. GV in fasting plasma glucose (FPG) was calculated using standard deviation (SD), average real variability (ARV), coefficient of variation (CV), variability independent of the mean (VIM), and slope of 1-year repeated measurements. A ratio of forced expiratory volume in 1 s (FEV1) to forced vital capacity (FVC) less than 0.70 was used to define lung function impairment. Multivariable linear and logistic regression models were applied to explore the relationships of GV with lung function variables and lung function impairment. A total of 359 (11.6%) subjects were defined as having lung function impairment. After multivariable adjustment, FPG-SD, FPG-CV, FPG-AVR, FPG-VIM and were found to be negatively linked with FEV1, % predicted FEV1, and FVC but not FEV1/FVC. Relative to those for the first tertile, the odds ratios (ORs) of lung function impairment for the second and third tertiles were 1.37 (95% confidence interval [CI]: 1.01, 1.87) and 1.51 (1.10, 2.08) for FPG-CV, respectively; 1.59 (1.16, 2.17) and 1.73 (1.24, 2.40) for FPG-SD, respectively; and 1.57 (1.15, 2.13) and 1.69 (1.22, 2.33) for FPG-AVR, respectively. GV, measured by CV, SD, VIM, and VIM, is linked with lung function impairment and all lung function variables, except for FEV1/FVC ratio. GV may serve as a useful biomarker for assessing lung function impairment in persons with T2DM.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2LungAgedFemaleFollow-Up StudiesForced Expiratory VolumeHumansMaleMiddle AgedRespiratory Function TestsTaiwanVital CapacityBlood Glucose

Identifiers

PMID41325352
PMCPMC12668478

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