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Original Article
Knowledge, Perception and Health Behavior about Metabolic Syndrome for an at Risk Group in a Rural Community Area
Eui Geum Oh, So Youn Bang, Sa Saeng Hyun, Sang Hui Chu, Justin Y Jeon, Myung Sook Kang
Journal of Korean Academy of Nursing 2007;37(5):790-800.   Published online March 28, 2017
DOI: https://doi.org/10.4040/jkan.2007.37.5.790
AbstractAbstract PDF
Purpose

This study was to identify knowledge, perception and health behavior about metabolic syndrome for an at risk group in a rural community area.

Methods

A descriptive cross-sectional survey design was used. A total of 575 adults with hypertension, diabetes mellitus, dyslipidemia, and/or abdominal obesity were recruited from 11 rural community health care centers. A questionnaire was developed for this study. Anthropometric measures were measured and blood data was reviewed from the health record.

Results

Knowledge about the metabolic syndrome was low as evidenced by only a 47% correct answer rate. Only 9% of the subjects ever heard about the disease, and 87% answered they do not know the disease at all. 87% of the subjects were not performing regular exercise, 31% drank alcohol more than once a month, 12.5% were current smokers, and 33.6% are did not have a regular health check-up.

Conclusion

Development of systematic public health care programs are needed to prevent future increases in cardiovascular complications and to decrease health care costs. These might include educational programs for the primary health care provider and an at risk group, a therapeutic lifestyle modification program, and a health screening program to identify potential groups.

Citations

Citations to this article as recorded by  
  • Factors Associated with Prevention of Metabolic Syndrome Among Middle-Aged Postmenopausal Korean Women: A Study Based on the Information, Motivation, Behavioral Skills (IMB) Model
    Yoonjung Kim, Sooyeon Park
    Patient Preference and Adherence.2023; Volume 17: 2279.     CrossRef
  • Effect of Household Type on the Prevalence of Metabolic Syndrome in Korea: Using Propensity Score Matching
    Jisu Park, Ilsu Park
    Healthcare.2022; 10(10): 1894.     CrossRef
  • Development and Evaluation of an Integrated Health Management Program for Psychiatric Patients with Metabolic Syndrome
    Yun Bock Kwak, Ji Young Kim
    Journal of Korean Academy of Nursing.2022; 52(3): 261.     CrossRef
  • Machine and Deep Learning Applied to Predict Metabolic Syndrome without a Blood Screening
    Guadalupe O. Gutiérrez-Esparza, Tania A. Ramírez-delReal, Mireya Martínez-García, Oscar Infante Vázquez, Maite Vallejo, José Hernández-Torruco
    Applied Sciences.2021; 11(10): 4334.     CrossRef
  • Risk of Cardiovascular Disease Related to Metabolic Syndrome in College Students: A Cross-Sectional Secondary Data Analysis
    Insil Jang, Ji-Su Kim
    International Journal of Environmental Research and Public Health.2019; 16(19): 3708.     CrossRef
  • Assessment of the awareness and knowledge of cancer survivors regarding the components of metabolic syndrome
    Yeji Seo, Ji-Su Kim, Eun-shim Park, Eunjung Ryu, Olivier Barbier
    PLOS ONE.2018; 13(6): e0199142.     CrossRef
  • Motivation Factors for Stages of Behavioral Change among Individuals with Metabolic Syndrome
    Rhayun Song, Moonkyoung Park
    Korean Journal of Adult Nursing.2018; 30(1): 60.     CrossRef
  • Metabolic Syndromes Improvement and Its Related Factors among Health Checkup Examinees in a University Hospital
    Mal-Suk Jo, Soon-Rim Suh, Keon-Yeop Kim
    Journal of the Korea Academia-Industrial cooperation Society.2016; 17(6): 147.     CrossRef
  • A Study on Risk Factors of Metabolic Syndrome and Health Behaviors in a Region - 2014 community health survey -
    Ok-hee Ahn, Seong-hui Choi, Seo-Hyeon Kim, Si-Ok Ryu, Young-Mi Choi
    Journal of the Korea Academia-Industrial cooperation Society.2016; 17(12): 218.     CrossRef
  • Assessment of healthy behaviors for metabolic syndrome among Korean adults: a modified information-motivation-behavioral skills with psychological distress
    Guna Lee, Sook Ja Yang, Yeon Kyung Chee
    BMC Public Health.2016;[Epub]     CrossRef
  • The Effects of Menopause on the Metabolic Syndrome in Korean Women
    SoYoun Bang, IlGu Cho
    Journal of the Korea Academia-Industrial cooperation Society.2015; 16(4): 2704.     CrossRef
  • The Effects of Metabolic Syndrome on Quality of Life
    So Youn Bang
    Journal of the Korea Academia-Industrial cooperation Society.2015; 16(10): 7034.     CrossRef
  • Metabolic Syndrome Prevalence and Lifestyle by Age and Metabolic Syndrome Status in Women Religious
    Yang-Hee Kim, Hee-Seung Kim
    Journal of Korean Biological Nursing Science.2015; 17(1): 11.     CrossRef
  • The Relationship between Metabolic Syndrome Risk Factors and Health Promotion Behavior in General Hospital Nurses
    Hyun-Hee Park, Kwang-Ok Lee
    The Journal of the Korea Contents Association.2015; 15(6): 314.     CrossRef
  • Development and Evaluation of a Mobile Application for Personal Lifestyle Check-Up and Improvement
    Sekyoung Youm, Seung-Hun Park
    Telemedicine and e-Health.2014; 20(11): 1057.     CrossRef
  • Discriminating Factors of Stages of Change for Exercise among Patients with Metabolic Syndrome
    Hyun Ju Hwang, Eun Nam Lee, Eun Jung Choi
    Journal of muscle and joint health.2014; 21(1): 46.     CrossRef
  • Associations between the Practice of Health Behaviors and Awareness of Metabolic Syndrome among Adults (19-64 years) in the Gwangju-Jeonnam Area: 2010 Community Health Survey
    In Ae Chun, So Yeon Ryu, Hyeon Hui Park, Jong Park, Mi Ah Han, Seong Woo Choi
    Journal of agricultural medicine and community health.2013; 38(4): 217.     CrossRef
  • Factors Influencing Health Behavior Compliance of Patients with Metabolic Syndrome
    Ji-Soon Kang, Hyun-Sook Kang, Eun-Kyoung Yun, Hyun-Rim Choi
    Korean Journal of Adult Nursing.2012; 24(2): 191.     CrossRef
  • The Effects of Lifestyle Factors on Metabolic Syndrome among Korean Adults
    Mee Young Im, Young-Ran Lee, Suk Jung Han, Chung-Min Cho
    Journal of Korean Academy of Community Health Nursing.2012; 23(1): 13.     CrossRef
  • The Effect of Metabolic Syndrome Management Program in a Public Health Center
    Jae-Ryoung Seo, Sang-Soo Bae
    Journal of agricultural medicine and community health.2011; 36(4): 264.     CrossRef
  • A Study on Health Behaviors by a Risk Level of Metabolic Syndrome among Petty Merchants in Traditional Markets
    Hee-Gerl Kim, Hye-Kyung Nam, Yun-Jeong Yi
    Korean Journal of Occupational Health Nursing.2011; 20(3): 328.     CrossRef
  • Impact of Life Style Characteristics on Prevalence Risk of Metabolic Syndrome
    Ji-Soo Yoo, Jeong In Jeong, Chang Gi Park, Se Won Kang, Jeong-Ah Ahn
    Journal of Korean Academy of Nursing.2009; 39(4): 594.     CrossRef
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Review Article
Effects of Dietary and Physical Activity Interventions on Metabolic Syndrome: A Meta-analysis
Guna Lee, Hye-Young Choi, Sook-Ja Yang
J Korean Acad Nurs 2015;45(4):483-494.   Published online August 31, 2015
DOI: https://doi.org/10.4040/jkan.2015.45.4.483
AbstractAbstract PDF
Purpose

This study identified effects of dietary and physical activity interventions including dietary interventions or physical activity interventions alone or combined dietary-physical activity interventions to improve symptoms in metabolic syndrome including abdominal obesity, high triglycerides, low high density lipoprotein cholesterol, elevated blood pressure, and elevated fasting glucose through meta-analysis.

Methods

Articles on metabolic syndrome X published from 1988 to 2013 were searched through electronic databases, Google Scholar, and reference reviews. Methodological quality was assessed by the checklist, SIGN (Scottish Intercollegiate Guidelines Network).

Results

In the meta-analysis, there were 9 articles reporting 13 interventions with 736 participants. Using random effect models, the dietary and/or physical activity interventions showed a lower mean difference in waist circumference ( - 1.30 cm, 95% CI: - 2.44~ - 0.15, p =.027). The combined dietary-physical activity interventions showed a lower mean difference in waist circumference ( - 2.77 cm, 95% CI: - 4.77~ - 0.76, p =.007) and systolic blood pressure ( - 5.44 mmHg, 95% CI: - 10.76~ - 0.12, p =.044). Additionally, interventions of over 24 weeks yielded a lower mean difference in waist circumference ( - 2.78 cm, 95% CI: - 4.69~ - 0.87, p =.004) and diastolic blood pressure ( - 1.93 mmHg, 95% CI: - 3.63~ - 0.22, p =.026).

Conclusion

The findings indicate that dietary and/or physical activity interventions for metabolic syndrome reduce central obesity with no adverse effects. This finding provides objective evidences for dietary and physical activity management on metabolic syndrome as an efficient intervention.

Citations

Citations to this article as recorded by  
  • Scoping review of research trends in genetic factors related to metabolic syndrome in Koreans: using the data from Korean Genome and Epidemiology Study (KoGES)
    Minyeong Kim, Subin Kim, Dayeon Shin
    Journal of Nutrition and Health.2025; 58(1): 131.     CrossRef
  • Development and Evaluation of a Blended Self-Management Program for Metabolic Syndrome in Patients With Rheumatic Diseases
    BoAe Im, HyunSoo Oh, SooHyun Kim, HyeSun Jeong, WhaSook Seo
    Health Education & Behavior.2024; 51(4): 625.     CrossRef
  • Development and effectiveness of a mobile-based autonomy support program for the prevention of metabolic syndrome in middle-aged women
    Miseon Seo, Eun-Young Jun, Hyunjin Oh
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Psychosocial Determinants of Recommended Lifestyle Behaviors among Hypertensive Patients: An Integrative Literature Review
    Wachira Suriyawong, Tsui-Sui Annie Kao, Lorraine B. Robbins, Jiying Ling, Leapetswe Malete
    Western Journal of Nursing Research.2023; 45(5): 455.     CrossRef
  • 노인 대사증후군에 효과적인 중재: 체계적 문헌고찰과 메타분석
    서현 이, 슬 구, 유미 서, 선화 반
    Public Health Weekly Report.2023; 16(48): 1633.     CrossRef
  • Association between green tea consumption and metabolic syndrome among Korean adults: results from the Health Examinees study
    Hyeonjin Cho, Sunwoo Han, Jiwon Jeong, Hyein Jung, Sangah Shin
    Journal of Nutrition and Health.2023; 56(1): 70.     CrossRef
  • Metabolic syndrome and erectile dysfunction: a systematic review and meta-analysis study
    D. G. Corona, W. Vena, A. Pizzocaro, G. Rastrelli, C. Sparano, A. Sforza, L. Vignozzi, M. Maggi
    Journal of Endocrinological Investigation.2023; 46(11): 2195.     CrossRef
  • Determination of Factors Inhibiting the Physıcal Activity Status of Nursing Students in the Covid-19 Pandemic
    Tuba Bülbül, Betül Tosun, Ezgi Dirgar
    International Journal of Disabilities Sports and Health Sciences.2022; 5(1): 30.     CrossRef
  • Impact of motivational interviewing as a follow-up to an exercise intervention among women with or at risk for metabolic syndrome: A randomized controlled trial
    Kameron B Suire, Ashley Peart, Jan Kavookjian, Danielle D Wadsworth
    SAGE Open Medicine.2022;[Epub]     CrossRef
  • Peripheral and cognitive benefits of physical exercise in a mouse model of midlife metabolic syndrome
    Farida El Gaamouch, Hsiao-yun Lin, Qian Wang, Wei Zhao, Jiangping Pan, Kalena Liu, Jean Wong, Clark Wu, Chongzhen Yuan, Haoxiang Cheng, Weiping Qin, Ke Hao, Bin Zhang, Jun Wang
    Scientific Reports.2022;[Epub]     CrossRef
  • Gender Differences of Health Behaviors in the Risk of Metabolic Syndrome for Middle-Aged Adults: A National Cross-Sectional Study in South Korea
    Jaehee Yoon, Jeewuan Kim, Heesook Son
    International Journal of Environmental Research and Public Health.2021; 18(7): 3699.     CrossRef
  • A Technology-Mediated Interventional Approach to the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis
    Gaeun Kim, Ji-Soo Lee, Soo-Kyoung Lee
    International Journal of Environmental Research and Public Health.2021; 18(2): 512.     CrossRef
  • Metabolic Syndrome and Functional Fitness Abilities
    Laura Gallardo-Alfaro, Maria del Mar Bibiloni, Emma Argelich, Escarlata Angullo-Martinez, Cristina Bouzas, Josep A. Tur
    Journal of Clinical Medicine.2021; 10(24): 5840.     CrossRef
  • Effects of BeHaS Program on Health Behavior, Physiologic Index and Self-Esteem of the Elderly Living Alone with Metabolic Syndrome Based on Community Based Participatory Research
    Jong Im Kim, Sun Ae Kim, Keumok Park, Jiyoung Kim, Lina Lee, Si Wan Choi, Bon Jeong Ku
    Journal of Korean Academy of Nursing.2020; 50(4): 571.     CrossRef
  • Dietary Fat Intake and Metabolic Syndrome in Older Adults
    Alicia Julibert, Maria del Mar Bibiloni, David Mateos, Escarlata Angullo, Josep A. Tur
    Nutrients.2019; 11(8): 1901.     CrossRef
  • Metabolic fitness in relation to genetic variation and leukocyte DNA methylation
    M. Caspers, S. Blocquiaux, R. Charlier, J. Lefevre, K. De Bock, M. Thomis
    Physiological Genomics.2019; 51(1): 12.     CrossRef
  • Effects of a Self-Care Reinforcement Program for Socially Vulnerable Elderly Women with Metabolic Syndrome in Korea
    Mikyung Park, Kiwol Sung
    Journal of Korean Academy of Community Health Nursing.2019; 30(3): 271.     CrossRef
  • Flavonoids and Insulin-Resistance: From Molecular Evidences to Clinical Trials
    Benedetta Russo, Fabiana Picconi, Ilaria Malandrucco, Simona Frontoni
    International Journal of Molecular Sciences.2019; 20(9): 2061.     CrossRef
  • Metabolic Syndrome Status of Chinese Workers and Their Physical Profiles, Lifestyle Scores, and Nutrient Intakes
    Chao Wang, Hokyung Ryu
    Korean Journal of Community Nutrition.2017; 22(1): 63.     CrossRef
  • Physical activity, mediating factors and risk of colon cancer: insights into adiposity and circulating biomarkers from the EPIC cohort
    Krasimira Aleksandrova, Mazda Jenab, Michael Leitzmann, Bas Bueno-de-Mesquita, Rudolf Kaaks, Antonia Trichopoulou, Christina Bamia, Pagona Lagiou, Sabina Rinaldi, Heinz Freisling, Marion Carayol, Tobias Pischon, Dagmar Drogan, Elisabete Weiderpass, Paula
    International Journal of Epidemiology.2017; 46(6): 1823.     CrossRef
  • Association between siesta (daytime sleep), dietary patterns and the presence of metabolic syndrome in elderly living in Mediterranean area (MEDIS study): The moderating effect of gender
    E.N. Georgousopoulou, N. Naumovski, D.D. Mellor, S. Tyrovolas, S. Piscopo, G. Valacchi, N. Tsakountakis, A. Zeimbekis, V. Bountziouka, E. Gotsis, G. Metallinos, D. Tyrovola, J. Kellett, A. Foscolou, J.-A. Tur, A.-L. Matalas, C. Lionis, E. Polychronopoulos
    The Journal of nutrition, health and aging.2017; 21(10): 1118.     CrossRef
  • metabolic syndrome: some results and prospects for solving the problem
    Чу, Syaoyan Chu, Киргизова, Oksana Kirgizova
    Бюллетень Восточно-Сибирского научного центра Сибирского отделения Российской академии медицинских наук.2016; 1(5): 187.     CrossRef
  • Prevalence of Central Obesity among Adults with Normal BMI and Its Association with Metabolic Diseases in Northeast China
    Peng Zhang, Rui Wang, Chunshi Gao, Lingling Jiang, Xin Lv, Yuanyuan Song, Bo Li, Pratibha V. Nerurkar
    PLOS ONE.2016; 11(7): e0160402.     CrossRef
  • 362 View
  • 7 Download
  • 23 Crossref
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Original Articles
Heart Rate Variability and Metabolic Syndrome in Hospitalized Patients with Schizophrenia
Kyunghee Lee, Jeongeon Park, Jeongim Choi, Chang Gi Park
J Korean Acad Nurs 2011;41(6):788-794.   Published online December 31, 2011
DOI: https://doi.org/10.4040/jkan.2011.41.6.788
AbstractAbstract PDF
Purpose

Reduced heart rate variability significantly increases cardiovascular mortality. Metabolic syndrome increases the cardiac autonomic dysfunction. Recently, increasing cardiovascular mortality has been reported in patients with schizophrenia. This study was done to compare heart rate variability between adults with and without schizophrenia and to compare the relationship of heart rate variability to metabolic syndrome in hospitalized patients with schizophrenia.

Methods

This was a descriptive and correlational study in which 719 adults without schizophrenia and 308 adults with schizophrenia took part between May and June 2008. We measured the following: five-minute heart rate variability; high-frequency, low-frequency, the ratio of low-frequency to high-frequency, and the Standard Deviation of all the normal RR intervals. Data was also collected on metabolic syndrome, abdominal obesity, triglycerides, HDL cholesterol, blood pressure and fasting glucose.

Results

The Standard Deviation of all the normal RR intervals values of heart rate variability indices were 1.53±0.18. The low-frequency and high-frequency values of heart rate variability indices were significantly higher in hospitalized patients with schizophrenia (3.89±1.36; 3.80±1.20) than those in the healthy participants (2.20±0.46; 2.10±0.46). There were no significant differences between the schizophrenic patients with and without metabolic syndrome.

Conclusion

The results of this study indicate that schizophrenia patients have significantly lower cardiac autonomic control, but they have significantly higher low-frequency and high-frequency values than those of healthy adults. Use of antipsychotic drug may affect the autonomic nervous system in schizophrenic patients. Metabolic syndrome was not associated with cardiac autonomic control in schizophrenia patients.

Citations

Citations to this article as recorded by  
  • Altered Heart Rate Variability During Rest in Schizophrenia: A State Marker
    Anjum Datta, Sandeep Choudhary, Sunaina Soni, Rajesh Misra, Kiran Singh
    Cureus.2023;[Epub]     CrossRef
  • Autonomic nervous system dysfunction in schizophrenia: impact on cognitive and metabolic health
    Nicolette Stogios, Alexander Gdanski, Philip Gerretsen, Araba F. Chintoh, Ariel Graff-Guerrero, Tarek K. Rajji, Gary Remington, Margaret K. Hahn, Sri Mahavir Agarwal
    npj Schizophrenia.2021;[Epub]     CrossRef
  • Resting vagal activity in schizophrenia: Meta-analysis of heart rate variability as a potential endophenotype
    Annika Clamor, Tania M. Lincoln, Julian F. Thayer, Julian Koenig
    British Journal of Psychiatry.2016; 208(1): 9.     CrossRef
  • Factors Influencing Metabolic Syndrome among Mental Health Facility Patients with Schizophrenia
    Sun-Hye Lee, Sunhee Cho
    Journal of Korean Academy of Psychiatric and Mental Health Nursing.2016; 25(1): 1.     CrossRef
  • Impact of metabolic syndrome and its components on heart rate variability during hemodialysis: a cross-sectional study
    Yu-Ming Chang, Chih-Chung Shiao, Ya-Ting Huang, I-Ling Chen, Chuan-Lan Yang, Show-Chin Leu, Hung-Li Su, Jsun-Liang Kao, Shih-Ching Tsai, Rong-Na Jhen, Ching-Cherng Uen
    Cardiovascular Diabetology.2016;[Epub]     CrossRef
  • Heart rate variability and vagal tone in schizophrenia: A review
    Julian M. Montaquila, Benjamin J. Trachik, Jeffrey S. Bedwell
    Journal of Psychiatric Research.2015; 69: 57.     CrossRef
  • Evaluation of autonomic nervous system by salivary alpha-amylase level and heart rate variability in patients with schizophrenia
    Masa Ieda, Tsuyoshi Miyaoka, Rei Wake, Kristian Liaury, Keiko Tsuchie, Michiyo Fukushima, Tomoko Araki, Satoko Ezoe, Takuji Inagaki, Jun Horiguchi
    European Archives of Psychiatry and Clinical Neuroscience.2014; 264(1): 83.     CrossRef
  • Heart rate variability and the metabolic syndrome: a systematic review of the literature
    Melanie I. Stuckey, Mikko P. Tulppo, Antti M. Kiviniemi, Robert J. Petrella
    Diabetes/Metabolism Research and Reviews.2014; 30(8): 784.     CrossRef
  • Unraveling the Mechanisms Responsible for the Comorbidity between Metabolic Syndrome and Mental Health Disorders
    Elizabeth K. Nousen, Juliana G. Franco, Elinor L. Sullivan
    Neuroendocrinology.2013; 98(4): 254.     CrossRef
  • 211 View
  • 6 Download
  • 9 Crossref
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Comparison of Cardiovascular Health Status and Health Behaviors in Korean Women based on Household Income
Young-Joo Park, Nah-Mee Shin, Ji-Won Yoon, Jiwon Choi, Sook-Ja Lee
J Korean Acad Nurs 2010;40(6):831-843.   Published online December 31, 2010
DOI: https://doi.org/10.4040/jkan.2010.40.6.831
AbstractAbstract PDF
Purpose

In this study cardiovascular health status and health behavior of Korean women based on their household income were explored.

Methods

For this cross-sectional study, 91 women residing in the community were recruited to complete survey questionnaires and biophysical tests including blood pressure (BP), body mass index (BMI), body fat rate, waist circumference (WC), and blood chemistry tests.

Results

Compared to non-low income women (NLIW), low income women (LIW) were more likely to be older, less educated, and jobless, and further more LIW were postmenopause and reported having been diagnosed with hypertension or hypercholesterolemia. Significant differences were found in systolic BP, triglyceride level, BMI, body fat rate, and WC between the groups. Two fifths of the LIW had indications for metabolic syndrome. Their 10-yr risk estimate of myocardioal infarction or coronary death demonstrated a higher probability than that of NLIW. Although these significant differences were due to age gap between the groups, advanced age is known to be one of the key characteristics of LIW as well as a non-modifiable risk factor.

Conclusion

Effective community programs for vulnerable women at risk of cardiovascular disease should be based on strategies targeting unhealthy behaviors and modifiable risk factors.

Citations

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  • Cardiometabolic Risk of Visceral Fat Obesity and Factors Influencing Visceral Fat in Overweight or Obese Middle-Aged Korean Women: A Cross-Sectional Study
    Sujin Kim, Nah-Mee Shin, Jiwon Choi
    Korean Journal of Adult Nursing.2024; 36(4): 320.     CrossRef
  • Health promoting behaviors in low-income overweight and obese women in Korea: an exploratory qualitative study
    Ju-Hee Nho, Eun Jin Kim
    Korean Journal of Women Health Nursing.2021; 27(4): 348.     CrossRef
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    Chi-Young Lee, Eun-Ok Im
    Journal of Cardiovascular Nursing.2021; 36(1): 8.     CrossRef
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    Chi-Young Lee, Yong-Hwan Lee
    Journal of Preventive Medicine and Public Health.2019; 52(5): 281.     CrossRef
  • A Pilot Study of APN-led Self-management Program to Improve Cardiovascular Health Status among Korean Women with Risk Factors
    Nah-Mee Shin, Ji-Won Yoon, Jiwon Choi, Younghee Park, Songi Jeon
    Korean Journal of Adult Nursing.2016; 28(2): 237.     CrossRef
  • A Study on the Health and Nutritional Characteristics according to Household Income and Obesity in Korean Adults Aged over 50 -Based on 2005 KNHANES-
    So Hyun Ahn, Sook Mee Son, Hye Kyeong Kim
    Korean Journal of Community Nutrition.2012; 17(4): 463.     CrossRef
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