Diabetes & Metabolism Journal

Sang Min Park (Park SM)

2 Articles

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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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

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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

6,551 View
99 Download
16 Web of Science
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Abstract PDF Supplementary Material PubReader

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.

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