Diabetes & Metabolism Journal

Review

Cardiovascular Risk/Epidemiology
Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes: Min Jeong Park, Kyung Mook Choi; Diabetes Metab J. 2022;46(1):49-62. Published online January 27, 2022; DOI: https://doi.org/10.4093/dmj.2021.0316

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Despite strenuous efforts to reduce cardiovascular disease (CVD) risk by improving cardiometabolic risk factors, such as glucose and cholesterol levels, and blood pressure, there is still residual risk even in patients reaching treatment targets. Recently, researchers have begun to focus on the variability of metabolic variables to remove residual risks. Several clinical trials and cohort studies have reported a relationship between the variability of metabolic parameters and CVDs. Herein, we review the literature regarding the effect of metabolic factor variability and CVD risk, and describe possible mechanisms and potential treatment perspectives for reducing cardiometabolic risk factor variability.

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A. S. Rudoy, N. N. Silivinchik
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Association between weight loss and cardiovascular outcomes and mortality in Korea: A nationwide cohort study
So Yoon Kwon, Gyuri Kim, Seohyun Kim, Jae Hyeon Kim
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Identifying Personal and Lifestyle Determinants Associated With Glycemic Variability Among Healthy Non-Diabetes Adults
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Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
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Zekai Chen, Lin Zhu
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Association between lipid variability and the risk of mortality in cancer patients not receiving lipid-lowering agents
Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
Frontiers in Oncology.2023;[Epub] CrossRef
Association between visit-to-visit lipid variability and risk of ischemic heart disease: a cohort study in China
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Variability of Metabolic Risk Factors: Causative Factor or Epiphenomenon?
Hye Jin Yoo
Diabetes & Metabolism Journal.2022; 46(2): 257. CrossRef
Long-Term Variability in Physiological Measures in Relation to Mortality and Epigenetic Aging: Prospective Studies in the US and China
Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
SSRN Electronic Journal .2022;[Epub] CrossRef

Original Articles

Clinical Diabetes & Therapeutics
Effectiveness of Exercise Intervention in Reducing Body Weight and Glycosylated Hemoglobin Levels in Patients with Type 2 Diabetes Mellitus in Korea: A Systematic Review and Meta-Analysis: Ji-Eun Jang, Yongin Cho, Byung Wan Lee, Ein-Soon Shin, Sun Hee Lee; Diabetes Metab J. 2019;43(3):302-318. Published online November 19, 2018; DOI: https://doi.org/10.4093/dmj.2018.0062

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Background

This study aimed to assess the effectiveness of exercise intervention in reducing body weight and glycosylated hemoglobin (HbA1c) level in patients with type 2 diabetes mellitus (T2DM) in Korea.

Methods

Cochrane, PubMed, Embase, KoreaMed, KMbase, NDSL, KCI, RISS, and DBpia databases were used to search randomized controlled trials and controlled clinical trials that compared exercise with non-exercise intervention among patients with non-insulin-treated T2DM in Korea. The effectiveness of exercise intervention was estimated by the mean difference in body weight changes and HbA1c level. Weighted mean difference (WMD) with its corresponding 95% confidence interval (CI) was used as the effect size. The pooled mean differences of outcomes were calculated using a random-effects model.

Results

We identified 7,692 studies through literature search and selected 23 articles (723 participants). Compared with the control group, exercise intervention (17 studies) was associated with a significant decline in HbA1c level (WMD, −0.58%; 95% CI, −0.89 to −0.27; I²=73%). Although no significant effectiveness on body weight was observed, eight aerobic training studies showed a significant reduction in body weight (WMD, −2.25 kg; 95% CI, −4.36 to −0.13; I²=17%) in the subgroup analysis.

Conclusion

Exercise significantly improves glycemic control; however, it does not significantly reduce body weight. Aerobic training can be beneficial for patients with non-insulin-treated T2DM in Korea.

Citations

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Effect of low-volume combined aerobic and resistance high-intensity interval training on vascular health in people with type 2 diabetes: a randomised controlled trial
Emily R. Cox, Trishan Gajanand, Shelley E. Keating, Matthew D. Hordern, Nicola W. Burton, Daniel J. Green, Joyce S. Ramos, Maximiano V. Ramos, Robert G. Fassett, Stephen V. Cox, Jeff S. Coombes, Tom G. Bailey
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2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
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The anti-inflammatory effects of aerobic exercise training in patients with type 2 diabetes: A systematic review and meta-analysis
Georgia Papagianni, Chrystalla Panayiotou, Michail Vardas, Nikolaos Balaskas, Constantinos Antonopoulos, Dimitrios Tachmatzidis, Triantafyllos Didangelos, Vaia Lambadiari, Nikolaos P.E. Kadoglou
Cytokine.2023; 164: 156157. CrossRef
Glucose Control in Korean Patients with Type 2 Diabetes Mellitus according to Body Mass Index
Ye-lim Shin, Heesoh Yoo, Joo Young Hong, Jooeun Kim, Kyung-do Han, Kyu-Na Lee, Yang-Hyun Kim
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Exercise therapy for diabetes mellitus
Chaiho Jeong, Tae-Seo Sohn
Journal of the Korean Medical Association.2023; 66(7): 427. CrossRef
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Jun Meng, Junying Du, Xiaoli Diao, Yingxia Zou
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Effect of exercise intervention dosage on reducing visceral adipose tissue: a systematic review and network meta-analysis of randomized controlled trials
Yu-Hsuan Chang, Hui-Ying Yang, Shiow-Ching Shun
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Gregor Stiglic, Fei Wang, Aziz Sheikh, Leona Cilar
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Exercise Training: The Holistic Approach in Cardiovascular Prevention
Francesco Giallauria, Teresa Strisciuglio, Gianluigi Cuomo, Anna Di Lorenzo, Andrea D’Angelo, Mario Volpicelli, Raffaele Izzo, Maria Virginia Manzi, Emanuele Barbato, Carmine Morisco
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Effect of chronic High Intensity Interval Training on glycosylated haemoglobin in people with type 2 diabetes: a meta-analysis
María Cristina Arrieta-Leandro, Jessenia Hernández-Elizondo, Judith Jiménez-Díaz
Human Movement.2021; 24(1): 32. CrossRef
Non-Alcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Mellitus: A Position Statement of the Fatty Liver Research Group of the Korean Diabetes Association
Byung-Wan Lee, Yong-ho Lee, Cheol-Young Park, Eun-Jung Rhee, Won-Young Lee, Nan-Hee Kim, Kyung Mook Choi, Keun-Gyu Park, Yeon-Kyung Choi, Bong-Soo Cha, Dae Ho Lee
Diabetes & Metabolism Journal.2020; 44(3): 382. CrossRef
Beneficial effect of anti-diabetic drugs for nonalcoholic fatty liver disease
Kyung-Soo Kim, Byung-Wan Lee
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Factors Influencing Glycemic Control among Type 2 Diabetes Mellitus Patients: The Sixth Korea National Health and Nutrition Examination Survey (2013~2015)
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Obesity and Metabolic Syndrome
Importance of Lean Muscle Maintenance to Improve Insulin Resistance by Body Weight Reduction in Female Patients with Obesity: Yaeko Fukushima, Satoshi Kurose, Hiromi Shinno, Ha Cao Thu, Nana Takao, Hiromi Tsutsumi, Yutaka Kimura; Diabetes Metab J. 2016;40(2):147-153. Published online March 27, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.2.147

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Abstract PDF PubReader

Background

It has recently been suggested that skeletal muscle has an important role in insulin resistance in obesity, in addition to exercise tolerance and the fat index. The aim of this study was to identify body composition factors that contribute to improvement of insulin resistance in female patients with obesity who reduce body weight.

Methods

We studied 92 female obese patients (age 40.9±10.4 years, body mass index 33.2±4.6 kg/m²) who reduced body weight by ≥5% after an intervention program including diet, exercise therapy, and cognitive behavioral therapy. Before and after the intervention, body composition was evaluated by dual-energy X-ray absorptiometry to examine changes in skeletal muscle mass. Homeostasis model assessment of insulin resistance (HOMA-IR) was measured as an index of insulin resistance. Cardiopulmonary exercise was also performed by all patients.

Results

There were significant improvements in body weight (–10.3%±4.5%), exercise tolerance (anaerobic threshold oxygen uptake 9.1%±18.4%, peak oxygen uptake 11.0%±14.2%), and HOMA-IR (–20.2%±38.3%). Regarding body composition, there were significant decreases in total body fat (–19.3%±9.6%), total fat-free mass (–2.7%±4.3%), and % body fat (–10.1%±7.5%), whereas % skeletal muscle significantly increased (8.9%±7.2%). In stepwise multiple linear regression analysis with change in HOMA-IR as the dependent variable, the change in % skeletal muscle was identified as an independent predictor (β=–0.280, R²=0.068, P<0.01).

Conclusion

Improvement of insulin resistance in female obese patients requires maintenance of skeletal muscle mass.

Citations

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The percent change of body weight in patients with type 2 diabetes using rosiglitazone for 1 year.: Seong Bin Hong, Hwi Ra Park, Eun A Kim, Kyung wook Lee, Moonsuk Nam, Yong Seong Kim; Korean Diabetes J. 2006;30(1):47-53. Published online January 1, 2006; DOI: https://doi.org/10.4093/jkda.2006.30.1.47

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Abstract PDF: BACKGROUND
Rosiglitazone(RSG) is known as a potent agonist for the PPARgamma. It improves glycemic control by improving insulin sensitivity in peripheral tissues. And it is associated with body weight gain. The Pro12Ala polymorphism of the gene encoding the peroxisome proliferator-activated receptor(PPAR)gamma2 has recently been shown to be associated with insulin sensitivity. This study was performed to evaluate the body weight change during the long term rosiglitazone treatment and the role of PPARgamma2 polymorphism, Pro12Ala as an indicator to predict the clinical response of RSG in type 2 diabetes patients. METHOD: The study subjects were 214 type 2 diabetic patients(117 male, 97 female) who were received a daily 1 year course of 4 mg RSG combined with sulfonylurea or metformin. The Pro12Ala polymorphism of the PPARgamma2 was determined by the restriction fragment length polymorphism(RFLP) method. Body weight, height, waist circumference, fasting glucose, insulin, c-peptide and lipid profile were measured. RESULTS: After RSG treatment, body weight change was 2.4 +/- 3.8%, 4.5 +/- 9.8% of baseline body weight at 12, 24 weeks respectively. Body weight gains were increased to 5.6 +/- 10.1% at the end of 1 year. The HbA1C, serum insulin level and HOMA index were decreased following the rosiglitazone therapy. The allele frequency of the Ala12Pro polymorphism of the PPARgamma2 was 0.016. The number of Ala12Pro variant of the PPARgamma2 was too low to predict clinical response of RSG. Body weight gain was correlated with basal fasting plasma glucose, post-prandial 2 hour glucose and HbA1c level(p<0.05). There was no correlation between baseline body weight and change. CONCLUSION: This results showed that Pro12Ala polymorphism was not acceptable for the predictor of RSG induced weight gain and clinical response. However, body weight gain was increased in who had high glucose level, and correlated positively with glucose decrease. 1st 3 month weight gain was best predictor of weight change during 1 year.

The long term effects of rosiglitazone on serum lipid concentration and body weight.: Wan Sub Shim, Mi Young Do, Soo Kyung Kim, Hae Jin Kim, Kyu Yeon Hur, Eun Seok Kang, Yu Mie Rhee, Chul Woo Ahn, Sung Kil Lim, Kyung Rae Kim, Hyun Chul Lee, Bong Soo Cha; Korean Diabetes J. 2006;30(1):17-24. Published online January 1, 2006; DOI: https://doi.org/10.4093/jkda.2006.30.1.17

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Abstract PDF: BACKGROUND
Although rosiglitazone, an insulin sensitizer, is known to have beneficial effects on high density lipoprotein cholesterol (HDL-C) concentration and low density lipoprotein (LDL) particle size, it has adverse effects on the increment of total cholesterol (TC) and LDL cholesterol (LDL-C), and body weight in some studies. Such adverse effects of rosiglitazone on the serum lipid profiles and body weight seem to be attributed to the fact that most studies with rosiglitazone are limited to a short period of follow up. The aim of this study was to evaluate the long term effects of rosiglitazone on the serum lipid levels and body weight. MATERIALS AND METHODS: We prospectively evaluated fasting serum glucose, HbA1c, TC, LDL-C, triglyceride, HDL-C and body weight at baseline and every three months after rosiglitazone usage (4mg/d) in 202 type 2 diabetic patients. RESULTS: TC levels had increased maximally at 3 months and thereafter decreased, but were significantly higher at 18 months than those at baseline. LDL-C levels from the first 3 months to 12 months were significantly higher than those at baseline, but after 15 months, LDL-C concentration was not significantly different from the basal LDL-C concentration. HDL-C levels had increased after first 3 months and the increment of HDL-C concentration were maintained. The increment of HDL-C was more prominent in patients with low basal HDL-C concentration than in patients with high basal HDL-C concentration. Body weight from 3 months to 18 months were higher than that at baseline, but after 3 months, body weight did not increase furthermore significantly. CONCLUSIONS: The adverse effects on lipid concentration and body weight of rosiglitazone may attenuate after long term usage of rosiglitazone.

The Role of Chromium as an Insulin Sensitizer in Rats Receivieng Corticosteroid.: Dong Sun Kim, Chang Beom Lee, Yong Soo Park, You Hern Ahn, Tae Wha Kim, Ho Soon Choi, Il Kyu Park, Hyun Jin Shin, Ju Seop Kang; Korean Diabetes J. 2001;25(3):211-217. Published online June 1, 2001

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Abstract PDF: BACKGROUND
Chromium (Cr) has been known to be essential for the regulation of insulin action. Recently it has been reported that corticosteroid increases urinary loss of Cr, and that Cr supplementation recovers steroid induced diabetes mellitus. METHODS: Rats were daily treated with dexamethasone (0.2 mg/kg, ip) for first 7 days and were further treated daily with dexamethasone plus either chromium picolinate (30 mg/kg) or a placebo for a period of 14 days. RESULTS: At the end of experiment (Day 21), the control rats treated only with dexamethasone weighed 320 gram (80% of initial weight) in average, but the Cr treated rats weighed 364 gram (91% of initial weight. p<0.05). An insulin sensitivity test [subcutaneous injection of insulin (5 U/kg) plus intraperitoneal injection of glucose (30 minutes after insulin injection)] were conducted. During the insulin sensitivity tests, the area under curves (AUC(0->120 min)) of the time-glucose concentrations curves in the Cr-treated group were decreased compared to those in the control group (5250 vs 15883 mg-min/dL, p<0.01). Fasting serum insulin levels in the Cr-treated rats were clearly decreased by 46.9% compared to those in the control group (2.98 vs 5.60 ng/mL, p<0.05). CONCLUSIONS: We conclude that chromium supplementation reverse a catabolic state, and increase insulin sensitivity in dexamethasone treated rats.

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