Endocrinology and Metabolism

Seung Ku Lee (Lee SK)

2 Articles

Diabetes, Obesity and Metabolism
Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up: Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Seung Ku Lee, Chol Shin, Nan Hee Kim; Endocrinol Metab. 2023;38(1):146-155. Published online February 6, 2023; DOI: https://doi.org/10.3803/EnM.2022.1582

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Background
We aimed to investigate the moderating effects of obesity, age, and sex on the association between sleep duration and the development of diabetes in Asians.
Methods
We analyzed data from a cohort of the Korean Genome and Epidemiology Study conducted from 2001 to 2020. After excluding shift workers and those with diabetes at baseline, 7,407 participants were stratified into three groups according to sleep duration: ≤5 hours/night, >5 to 7 hours/night (reference), and >7 hours/night. The Cox proportional hazards analyses were used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident type 2 diabetes mellitus (T2DM). Subgroup analyses were performed according to obesity, age, and sex.
Results
During 16 years of follow-up, 2,024 cases of T2DM were identified. Individuals who slept ≤5 h/night had a higher risk of incident diabetes than the reference group (HR, 1.17; 95% CI, 1.02 to 1.33). The subgroup analysis observed a valid interaction with sleep duration only for obesity. A higher risk of T2DM was observed in the ≤5 hours/night group in non-obese individuals, men, and those aged <60 years, and in the >7 hours/night group in obese individuals (HRs were 1.34 [95% CI, 1.11 to 1.61], 1.22 [95% CI, 1 to 1.49], and 1.18 [95% CI, 1.01 to 1.39], respectively).
Conclusion
This study confirmed the effect of sleep deprivation on the risk of T2DM throughout the 16-year follow-up period. This impact was confined to non-obese or young individuals and men. We observed a significant interaction between sleep duration and obesity.

Citations

Citations to this article as recorded by

Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes
Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Nan Hee Kim
Diabetes & Metabolism Journal.2024; 48(1): 37. CrossRef
Role of Sleep and Sleep Disorders in Cardiometabolic Risk: a Review and Update
Shaden O. Qasrawi, Ahmed S. BaHammam
Current Sleep Medicine Reports.2024; 10(1): 34. CrossRef
Evaluating reliability in wearable devices for sleep staging
Vera Birrer, Mohamed Elgendi, Olivier Lambercy, Carlo Menon
npj Digital Medicine.2024;[Epub] CrossRef
All That Glitters Is Not Gold: The Same Sleep Time, but Different Diabetogenic Outcomes
Bohye Kim, Obin Kwon
Endocrinology and Metabolism.2023; 38(1): 78. CrossRef
The Link Between Sleeping and Type 2 Diabetes: A Systematic Review
Ali Darraj
Cureus.2023;[Epub] CrossRef

Correlation between Pituitary Insufficiency and Magnetic Resonance Imaging Finding in Non-Functioning Pituitary Adenomas.: Hyun Min Kim, Cheol Ryong Ku, Eun Young Lee, Woo Kyung Lee, Jung Soo Lim, Sena Hwang, Mi Jung Lee, Seung Ku Lee, Sun Ho Kim, Eun Jig Lee; Endocrinol Metab. 2010;25(4):310-315. Published online December 1, 2010; DOI: https://doi.org/10.3803/EnM.2010.25.4.310

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Abstract PDF

BACKGROUND
Non-functioning pituitary adenomas (NFPAs) are characterized by the absence of clinical and biochemical evidence of pituitary hormone hypersecretion, and these tumors constitute approximately one third of all the tumors of the anterior pituitary. Recently, hormonal deficiencies have gradually evolved to become the leading presenting signs and symptoms in patients with NFPAs. We investigated pituitary hormonal insufficiencies according to the magnetic resonance imaging (MRI) findings in patients with NFPA. METHODS: We evaluated the patients who were newly diagnosed with NFPA from 1997 through 2009. Among them, we analyzed 387 patients who were tested for their combined pituitary function and who underwent MRI. The severity of the hypopituitarism was determined by the number of deficient axes of the pituitary hormones. On the MRI study, the maximal diameter of the tumor, Hardy's classification, the thickness of the pituitary gland and the presence of stalk compression were evaluated. RESULTS: The mean age was 46.85 +/- 12.93 years (range: 15-86) and 186 patients (48.1%) were male. As assessed on MRI, the tumor diameter was 27.87 +/- 9.93 mm, the thickness of the normal pituitary gland was 1.42 +/- 2.07 mm and stalk compression was observed in 201 patients (51.9%). Hypopituitarism was observed in 333 patients (86.0%). Deficiency for each pituitary hormone was most severe in the patients with Hardy type IIIA. Hypopituitarism was severe in the older age patients (P = 0.001) and the patients with a bigger tumor size (P < 0.001) and the presence of stalk compression (P < 0.001). However, the patients who had a thicker pituitary gland showed less severe hypopituitarism (P < 0.001). Multivariate analysis showed that age, tumor diameter and the thickness of pituitary gland were important determinants for pituitary deficiency (P = 0.004, P < 0.001, P = 0.022, respectively). CONCLUSION: The results suggest that the hormonal deficiencies in patient with NFPA were correlated with the MRI findings, and especially the tumor diameter and preservation of the pituitary gland.

Citations

Citations to this article as recorded by

Clinical Parameters to Distinguish Silent Corticotroph Adenomas from Other Nonfunctioning Pituitary Adenomas
Daham Kim, Cheol Ryong Ku, Se Hee Park, Ju Hyung Moon, Eui Hyun Kim, Sun Ho Kim, Eun Jig Lee
World Neurosurgery.2018; 115: e464. CrossRef

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