Korean Journal of Community Nutrition

Misung Kim

3 Articles

[English]
Sarcopenia and Sarcopenic Obesity and Their Association with Cardiovascular Disease Risk in Postmenopausal Women: Results for the 2008-2011 Korea National Health and Nutrition Examination Survey: Misung Kim, Cheongmin Sohn; Korean J Community Nutr 2016;21(4):378-385. Published online August 31, 2016; DOI: https://doi.org/10.5720/kjcn.2016.21.4.378

OBJECTIVES
This study was conducted to investigate the association between sarcopenia and sarcopenic obesity and cardiovascular disease risk in Korean postmenopausal women.
METHODS
We analyzed data of 2,019 postmenopausal women aged 50-64 years who participated in the Korea National Health and Nutrition Examination Survey in 2008-2011 and were free of cardiovascular disease history. Blood pressure, height, and weight were measured. We analyzed the serum concentrations of glucose, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol and triglyceride levels. Waist circumference was used to measure obesity. Appendicular skeletal muscle mass was measured by dual-energy X-ray absorptiometry. Sarcopenia was defined as the appendicular skeletal muscle mass/body weight<1 standard deviation below the gender-specific means for healthy young adults. The estimated 10-year risk of cardiovascular disease risk was calculated by Pooled Cohort Equation. Subjects were classified as non-sarcopenia, sarcopenia, or sarcopenic obesity based on status of waist circumference and appendicular skeletal muscle mass.
RESULTS
The prevalence of sarcopenia and sarcopenic obesity was 16.3% (n=317) and 18.3% (n=369), respectively. The 10-year risk of cardiovascular disease risk in the sarcopenic obesity group was higher (3.82 Â± 0.22%) than the normal group (2.73 Â± 0.09%) and sarcopenia group (3.17 Â± 0.22%) (p < 0.000). The odd ratios (ORs) for the â‰¥7.5% 10-year risk of cardiovascular disease risk were significantly higher in the sarcopenic obesity group (OR 3.609, 95% CI: 2.030-6.417) compared to the sarcopenia group (OR 2.799, 95% CI: 1.463-5.352) (p for trend < 0.000) after adjusting for independent variables (i.e., exercise, period of menopausal, alcohol use disorders identification test (AUDIT) score, income, education level, calorie intake, %fat intake and hormonal replacement therapy).
CONCLUSIONS
Sarcopenia and sarcopenic obesity appear to be associated with higher risk factors predicting the 10-year risks of cardiovascular disease risk in postmenopausal women. These findings imply that maintaining normal weight and muscle mass may be important for cardiovascular disease risk prevention in postmenopausal women.

Citations

Citations to this article as recorded by

The Impact of Possible Sarcopenia and Obesity on the Risk of Falls in Hospitalized Older Patients
Kahyun Kim, Dukyoo Jung
The Korean Journal of Rehabilitation Nursing.2023; 26(1): 18. CrossRef
Association of Sarcopenia with Heart Rate Variability
Jeong-Min Ji, Hyun-Min Koh, Ji-Yong Jang, Jin-Sook Moon, Hye-Rang Bak, Hye-Jin Jang, An-Na Lee, Nak-Gyeong Ko
Korean Journal of Family Practice.2022; 12(5): 311. CrossRef
Risk Factors for Sarcopenia, Sarcopenic Obesity, and Sarcopenia Without Obesity in Older Adults
Seo-hyun Kim, Chung-hwi Yi, Jin-seok Lim
Physical Therapy Korea.2021; 28(3): 177. CrossRef
Association among the Prevalence of Sarcopenia without Obesity, Nonsarcopenic Obesity, Sarcopenic Obesity, and Metabolic Syndrome in Cancer Survivors: Based on Korea National Health and Nutrition Examination Survey
Yoon J Park, Young M Lee
Asia-Pacific Journal of Oncology Nursing.2021; 8(6): 679. CrossRef

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[English]
Relationship between Bone Mineral Density and Bone Metabolic Biochemical Markers and Diet Quality Index-International(DQI-I) in Postmenopausal Obese Women: Yeonah Jeong, Misung Kim, Saeron Shin, Ahreum Han, Geomsuk Seo, Cheongmin Sohn; Korean J Community Nutr 2016;21(3):284-292. Published online June 30, 2016; DOI: https://doi.org/10.5720/kjcn.2016.21.3.284

Abstract PDF PubReader: OBJECTIVES
This study compared the differences of postmenopausal women's bone mineral density in relation to the degree of obesity, metabolism index and dietary factors that affect bone mineral density.
METHODS
The subjects included in the study are 39 postmenopausal women of normal weight with body mass index less than 25 kg/m2 and 32 postmenopausal who are obese. Anthropometry and biochemical analysis were performed and nutrient intakes and DQI-I were assessed.
RESULTS
Normal weight women were 56.03 Â± 3.76 years old and obese women were 58.09 Â± 5.13 years old and there was no significant difference in age between the two groups. The T-score of bone mineral density was 0.03 Â± 1.06 in normal weight women and -0.60 Â± 1.47 in obese women and this was significantly different between the two groups (p<0.05). Blood Leptin concentration was significantly lower in normal weight women (6.09 Â± 3.37 ng/mL) compared to obese women in (9.01 Â± 4.99 ng/mL) (p<0.05). The total score of diet quality index-international was 70.41Â±9.34 in normal weight women and 64.93 Â± 7.82 in obese women (p<0.05). T-score of bone mineral density showed negative correlations with percentage of body fat (r = -0.233, p=0.05), BMI (r = -0.197, p=0.017), triglyceride (r = -0.281, p=0.020) and leptin (r = -0.308, p=0.011). The results of multiple regression analysis performed as the method of entry showed that with 22.0% of explanation power, percentage of body fat (Î²=-0.048, p<0.05), triglyceride (Î²=-0.005, p<0.05) and HDL-cholesterol (Î²=0.034, p<0.01), moderation of DQI-I (Î²=-0.231, p<0.05) affected T-score significantly.
CONCLUSIONS
The results of the study showed that obese women have less bone density than those with normal weight women. In addition, the factor analysis result that affect bone mineral density showed that intake of fat is a very important factor. Therefore, postmenopausal women need to maintain normal weight and manage blood lipid levels within normal range. They also need to take various sources of protein and reduce consumption of empty calorie foods that have high calories, fat, cholesterol and sodium.

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[English]
Relationship between Nutrients Intakes, Dietary Quality, and Serum Concentrations of Inflammatory Markers in Metabolic Syndrome Patients: Misung Kim, Juyoung Kim, Wookyung Bae, Sohye Kim, Yesong Lee, Woori Na, Cheongmin Sohn; Korean J Community Nutr 2011;16(1):51-61. Published online February 28, 2011; DOI: https://doi.org/10.5720/KJCN.2011.16.1.51

Abstract PDF PubReader

Elevated serum concentration of inflammation markers is known as an independent risk factor of metabolic syndrome (MS) and dietary intake is an important factor to control MS. The purpose of this study was to investigated the hypothesis that inflammatory indices are associated with dietary intake and diet quality index-international (DQI-I) in subjects with MS. A cross-sectional study was conducted on 156 men and 73 postmenopausal women with MS, defined by three or more risk factors of the modified Adult Treatment Panel III criteria. Serum levels of high sensitive C-reactive protein (hs-CRP), adiponectin were examined and nutrients intake and DQI-I were assessed using a semi-quantitative food frequency questionnaire. The total DQI-I score was significantly higher in female subjects (65.87 +/- 9.86) than in male subjects (62.60 +/- 8.95). There was a positive association between hs-CRP and polyunsaturated fatty acid intake (p < 0.05) and a negative association between adiponectin and lipid (p < 0.05), total sugar (p < 0.01), and total fatty acids (p < 0.05). When the subjects were divided into 5 groups by quintile according to serum adiponectin and hs-CRP level, there was no association between DQI-I score and hs-CRP levels. Moderation score of DQI-I was significantly higher in highest quintile group than the lower quintile groups. Therefore, our results provide some evidence that dietary intake and diet quality are associated with inflammation markers and dietary modification might be a predictor to decrease risk for metabolic syndrome complications. However further research is needed to develop the dietary quality index reflecting the inflammatory change by considering the dietary habit and pattern of Koreans.

Citations

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Effects of food items and related nutrients on metabolic syndrome using Bayesian multilevel modelling using the Tehran Lipid and Glucose Study (TLGS): a cohort study
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BMJ Open.2018; 8(12): e020642. CrossRef
Development and Validation of Korean Inflammtory Index(K-DII) for Metabolic Disease Patients: by Using the Health Examinee Cohort (2012-2014)
Woori Na, Misung Kim, Susan Park, Minhyung Lee, Cheongmin Sohn
Korean Journal of Human Ecology.2017; 26(4): 369. CrossRef
Amelioration of metabolic disturbances and adipokine dysregulation by mugwort (Artemisia princeps P.) extract in high-fat diet-induced obese rats
Yun-Hye Kim, Chung-Mu Park, Gun-Ae Yoon
Journal of Nutrition and Health.2016; 49(6): 411. CrossRef
Development of dietary pattern evaluation tool for adults and correlation with Dietary Quality Index
Yeo Do Lee, Kyung Won Kim, Kyung-Suk Choi, Misung Kim, Yeo Jin Cho, Cheongmin Sohn
Nutrition Research and Practice.2016; 10(3): 305. CrossRef
Analysis of Dietary Inflammatory Index of Metabolic Syndrome in Korean : Data from the Health Examinee Cohort (2012-2014)
Mi-Sung Kim, Cheong-Min Sohn
Korean Journal of Human Ecology.2016; 25(6): 823. CrossRef
A study on dietary habits, nutrient intakes and dietary quality in adults of a health screening and promotion center according to non-alcoholic fatty liver disease
Ji Ho Chang, Hye Seung Lee, Eun Hee Kang
Journal of Nutrition and Health.2014; 47(5): 330. CrossRef
Correlation between vitamin D and cardiovascular disease predictors in overweight and obese Koreans
Misung Kim, Woori Na, Cheongmin Sohn
Journal of Clinical Biochemistry and Nutrition.2013; : 167. CrossRef
Comparison of health outcomes according to intervention compliance in male Korean workers with metabolic syndrome
Kyung-Hui Nam, Ji-Yeon Kang, Yeon-Ju Lee, Sook-Hee Sung, Youn-Koun Chang, Ji-Young Lee, Ill-Keun Park, Tae-In Choi
Korean Journal of Nutrition.2013; 46(2): 156. CrossRef
Effect of the Telephone-Delivered Nutrition Education on Dietary Intake and Biochemical Parameters in Subjects with Metabolic Syndrome
Juyoung Kim, Wookyung Bea, Kiheon Lee, Jongsoo Han, Sohye Kim, Misung Kim, Woori Na, Cheongmin Sohn
Clinical Nutrition Research.2013; 2(2): 115. CrossRef
Evaluation of nutrient intake and diet quality of gastric cancer patients in Korea
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Nutrition Research and Practice.2012; 6(3): 213. CrossRef
The framingham risk score, diet, and inflammatory markers in Korean men with metabolic syndrome
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Nutrition Research and Practice.2012; 6(3): 246. CrossRef
The Effects of 12-Weeks Intensive Intervention Program on Cardiovascular Risk Factors, Adipocytokines and Nutrients Intakes in Industrial Male Workers
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The Korean Journal of Nutrition.2011; 44(4): 292. CrossRef

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