Diabetes & Metabolism Journal

Original Articles

Lifestyle and Behavioral Interventions
Association between Changes in Physical Activity and Incident Depression among Patients with Newly Diagnosed Type 2 Diabetes Mellitus: Sangwoo Park, Back Kim, Hye Jun Kim, Sun Jae Park, Jihun Song, Jina Chung, Seogsong Jeong, Sang Min Park, Dae Ho Lee, Soo Jung Choi; Received August 17, 2025 Accepted December 18, 2025 Published online February 23, 2026; DOI: https://doi.org/10.4093/dmj.2025.0766 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: Background
This study aims to investigate the relationship between changes in physical activity patterns following a new diagnosis of type 2 diabetes mellitus (T2DM) and the risk of developing depression.
Methods
This study utilized comprehensive diabetes data from the National Health Insurance Service of South Korea. From this dataset, we included 254,619 individuals newly diagnosed with T2DM between 2009 and 2015 who had health examination data within 2 years before and after their diagnosis date and no prior history of depression. Physical activity levels were quantified using the metabolic equivalent of task (MET) method.
Results
Compared to individuals with 0 MET-min/wk of physical activity prior to a new T2DM diagnosis, those who increased their activity levels to 500–999 MET-min/wk after diagnosis showed a 23% reduction in the risk of depression, while an increase to ≥1,000 MET-min/wk was associated with a 25% reduction in depression risk. Conversely, individuals with 1–499 MET-min/wk before diagnosis who became inactive after diagnosis experienced a 25% increased risk of depression. A similar trend of increased depression risk was observed in those who reduced their physical activity from 500–999 or ≥1,000 MET-min/wk.
Conclusion
Changes in physical activity levels before and after a new diagnosis of T2DM significantly influence the risk of developing depression, with increased activity reducing the risk and decreased activity elevating the risk. This finding underscores the importance of encouraging physical activity to support mental health in patients with newly diagnosed T2DM.

Cardiovascular Risk/Epidemiology
Pre-existing Depression among Newly Diagnosed Dyslipidemia Patients and Cardiovascular Disease Risk: Jihoon Andrew Kim, Seulggie Choi, Daein Choi, Sang Min Park; Diabetes Metab J. 2020;44(2):307-315. Published online November 1, 2019; DOI: https://doi.org/10.4093/dmj.2019.0002

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Abstract PDF Supplementary Material PubReader ePub

Background

Whether depression before diagnosis of dyslipidemia is associated with higher cardiovascular disease (CVD) risk among newly diagnosed dyslipidemia patients is yet unclear.

Methods

The study population consisted of 72,235 newly diagnosed dyslipidemia patients during 2003 to 2012 from the National Health Insurance Service–Health Screening Cohort of South Korea. Newly diagnosed dyslipidemia patients were then detected for pre-existing depression within 3 years before dyslipidemia diagnosis. Starting from 2 years after the diagnosis date, patients were followed up for CVD until 2015. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for CVD were calculated by Cox proportional hazards regression.

Results

Compared to dyslipidemia patients without depression, those with depression had higher risk for CVD (aHR, 1.24; 95% CI, 1.09 to 1.41). Similarly, pre-existing depression was associated with increased risk for stroke (aHR, 1.27; 95% CI, 1.06 to 1.53). The risk for CVD among depressed dyslipidemia patients for high (aHR, 1.42; 95% CI, 1.06 to 1.90), medium (aHR, 1.17; 95% CI, 0.91 to 1.52), and low (aHR, 1.25; 95% CI, 1.05 to 1.50) statin compliance patients tended to be increased compared to patients without pre-existing dyslipidemia. The risk-elevating effect of depression on CVD tended to be preserved regardless of subgroups of smoking, alcohol consumption, physical activity, and body mass index.

Conclusion

Dyslipidemia patients with pre-existing depression had increased risk for CVD. Future studies that determine CVD risk after management of depression among dyslipidemia patients are needed.

Citations

Citations to this article as recorded by

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Epidemiology
Association between Change in Alcohol Consumption and Metabolic Syndrome: Analysis from the Health Examinees Study: Seulggie Choi, Kyuwoong Kim, Jong-Koo Lee, Ji-Yeob Choi, Aesun Shin, Sue Kyung Park, Daehee Kang, Sang Min Park; Diabetes Metab J. 2019;43(5):615-626. Published online April 23, 2019; DOI: https://doi.org/10.4093/dmj.2018.0128

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Abstract PDF Supplementary Material PubReader ePub

Background

The association between change in alcohol intake and metabolic syndrome is unclear.

Methods

This retrospective cohort consisted of 41,368 males and females from the Health Examinees-GEM study. Participants were divided into non-drinkers (0.0 g/day), light drinkers (male: 0.1 to 19.9 g/day; female: 0.1 to 9.9 g/day), moderate drinkers (male: 20.0 to 39.9 g/day; female: 10.0 to 19.9 g/day), and heavy drinkers (male: ≥40.0 g/day; female: ≥20.0 g/day) for each of the initial and follow-up health examinations. Logistic regression analysis was used to determine the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for developing metabolic syndrome according to the change in alcohol consumption between the initial and follow-up health examinations. Adjusted mean values for the change in waist circumference, fasting serum glucose (FSG), blood pressure, triglycerides, and high density lipoprotein cholesterol (HDL-C) levels were determined according to the change in alcohol consumption by linear regression analysis.

Results

Compared to persistent light drinkers, those who increased alcohol intake to heavy levels had elevated risk of metabolic syndrome (aOR, 1.45; 95% CI, 1.09 to 1.92). In contrast, heavy drinkers who became light drinkers had reduced risk of metabolic syndrome (aOR, 0.61; 95% CI, 0.44 to 0.84) compared to persistent heavy drinkers. Increased alcohol consumption was associated with elevated adjusted mean values for waist circumference, FSG, blood pressure, triglycerides, and HDL-C levels (all P<0.05). Reduction in alcohol intake was associated with decreased waist circumference, FSG, blood pressure, triglycerides, and HDL-C levels among initial heavy drinkers (all P<0.05).

Conclusion

Heavy drinkers who reduce alcohol consumption could benefit from reduced risk of metabolic syndrome.

Citations

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