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Research Paper
Development and Evaluation of an Integrated Health Management Program for Psychiatric Patients with Metabolic Syndrome
Kwak, Yun Bock , Kim, Ji Young
J Korean Acad Nurs 2022;52(3):261-277.   Published online June 30, 2022
DOI: https://doi.org/10.4040/jkan.21222
AbstractAbstract PDF
Purpose
This study developed an integrated health management program for metabolic syndrome in psychiatric patients and examined its effects on self-efficacy, healthy lifestyle, physiological indicators, knowledge of metabolic syndrome, attitudes toward healthy behavior, and social support.
Methods
A non-equivalent control group pretest posttest design was used. The participants were 65 psychiatric patients with metabolic syndrome in psychiatric rehabilitation centers, with 33 in the experimental group and 32 in the control group. The experimental group participants engaged in daily mobile application and walking exercises three times a week for more than 40 minutes over 8 weeks, while those in the control group were provided education booklets. The outcomes were measured using self-report questionnaires, anthropometrics, and blood analyses. Intervention effects were analyzed using the independent t-test, Mann—Whitney U test, ANCOVA, and Ranked ANCOVA.
Results
The experimental group showed a significant increase in self-efficacy (F = 8.85, p = .004, ηp2 = .13) and knowledge of metabolic syndrome (t = 2.60, p = .012, d = 0.60) compared to the control group. Additionally, the experimental group demonstrated a significant decrease in waist circumference (Z = - 2.34, p = .009, d = 0.58) and body mass index (Z = - 1.91, p = .028, d = 0.47) compared to the control group.
Conclusion
The integrated health management program for psychiatric patients with metabolic syndrome is effective in improving self-efficacy and knowledge of metabolic syndrome and decreasing physiological indicators such as waist circumference and body mass index.

Citations

Citations to this article as recorded by  
  • User evaluation of a mobile education application for the management of metabolic syndrome among cancer survivors
    Ji-Su Kim, Minhae Kim, Yeji Seo
    European Journal of Oncology Nursing.2023; 63: 102276.     CrossRef
  • Development and Evaluation of a Web-Based Self-Management Program for Korean Adult Patients with Irritable Bowel Syndrome Based on the Information–Motivation–Behavioral Skills Model
    Seohyeon Hwang, Woori Na, Dayoung Oh, Cheongmin Sohn
    Applied Sciences.2023; 13(12): 6915.     CrossRef
  • Effect of Patient Safety Training Program of Nurses in Operating Room
    Peijia Zhang, Xin Liao, Jie Luo
    Journal of Korean Academy of Nursing.2022; 52(4): 378.     CrossRef
  • 455 View
  • 17 Download
  • 4 Web of Science
  • 3 Crossref
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Original Articles
Effectiveness of Multi Interventional Package on Selected Parameters of Metabolic Syndrome among Women - A Pilot Study
Elizabeth, Attonassary Jose , Aruna, Swaminathan , Mercy, Parayidathil Joseph
J Korean Acad Nurs 2020;50(4):523-532.   Published online August 31, 2020
DOI: https://doi.org/10.4040/jkan.20012
AbstractAbstract PDF
Purpose
The purpose of the study was to compare the effectiveness of multi interventional package (MIP) and lifestyle interventions (LI) on physiological parameters of women with metabolic syndrome, to compare the effectiveness of MIP and LI on biochemical parameters of women with metabolic syndrome and to compare the effectiveness of MIP and LI on socio-psychological parameters of women with metabolic syndrome.
Methods
A quasi experimental nonequivalent control group design with two experimental groups and one control group was used to collect data from 60 self-help group women. Samples were selected by multistage sampling. Reflexology foot massage, dietary modification, moderate intensity exercise and structured education were given to MIP group and dietary modification, moderate intensity exercise and structured education were given to LI group for 12 weeks. Control group received routine care. Demographic and clinical data sheets were used to collect basic information. Knowledge was assessed by a knowledge questionnaire. Physiological (weight, body mass index, waist circumference and blood pressure) and biochemical parameters (HDL, triglycerides and FBS) were assessed before and after the intervention.
Results
The study found significant change in the physiological and biochemical parameters of metabolic syndrome as well as knowledge among the MIP group and LI group compared to the control group (p < .001).
Conclusion
MIP and LI are effective in controlling the parameters of metabolic syndrome. Hence the guidance may be provided to women with metabolic syndrome for adopting necessary lifestyle changes as well as reflexology foot massage to control the physiological and biochemical parameters of metabolic syndrome.
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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
Kim, Jong Im , Kim, Sun Ae , Park, Keumok , Kim, Jiyoung , Lee, Lina , Choi, Si Wan , Ku, Bon Jeong
J Korean Acad Nurs 2020;50(4):571-582.   Published online August 31, 2020
DOI: https://doi.org/10.4040/jkan.19261
AbstractAbstract PDF
Purpose
This study aimed to determine the effects of a 12-week metabolic syndrome BeHaS (Be Happy and Strong) program in elderly people with metabolic syndrome living alone, based on a community-based participatory research (CBPR).
Methods
A nonequivalent control group pre-posttest design was used, and the participants were 43 elderly people living alone (experimental group 24, control group 19). The experimental group received a one-hour program per week and two individual health consultations during 12 weeks. The control group received two sessions about the metabolic syndrome and two individual health consultations. The effects of health behavior, blood pressure, blood sugar levels, abdominal circumference, triglycerides, and self-esteem were evaluated. The data were analyzed using the independent t-test and Mann-Whitney U test.
Results
The health behavior with respect to the metabolic syndrome in the experimental group increased significantly (t = - 3.19, p = .002). Both diastolic blood pressure and abdominal circumference decreased in the experimental group (t = 2.00, p = .028 and t = 3.91, p < .001). No significant differences were observed between the groups in systolic blood pressure, fasting blood sugar levels, triglycerides, and self-esteem.
Conclusion
The 12-week metabolic syndrome BeHaS program using community resources improves the health of elderly people with metabolic syndrome living alone. Based on these findings, further studies on the effectiveness of the metabolic syndrome BeHaS program and the experiences of those who participated in the CBPR are warranted.

Citations

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  • Exploring the Impact of Smart Mobility and ICT Solutions on Older Adults’ Mobility: A Systematic Literature Review
    Chengyuan An
    IEEE Access.2024; 12: 159056.     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
  • Comparison of the Effects of Education Only and Exercise Training Combined with Education on Fall Prevention in Adults Aged 70 Years or Older Residing in Elderly Residential Facilities
    Chahwa Hong, Haejung Lee, Misoon Lee
    Journal of Korean Academy of Nursing.2021; 51(2): 173.     CrossRef
  • 318 View
  • 7 Download
  • 2 Web of Science
  • 3 Crossref
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Incidence of Colon Cancer Related to Cigarette Smoking and Alcohol Consumption in Adults with Metabolic Syndrome: Prospective Cohort Study
Ahra Jo, Heeyoung Oh
J Korean Acad Nurs 2019;49(6):713-723.   Published online December 30, 2019
DOI: https://doi.org/10.4040/jkan.2019.49.6.713
AbstractAbstract PDF
Purpose

The purpose of this study was to identify the impact of cigarette smoking and alcohol consumption on the incidence of colon cancer in adults with metabolic syndrome.

Methods

This study employed a longitudinal study design and utilized secondary data drawn from the Korean Genome and Epidemiology Study (KoGES). The data of a sample of 2,327 adults with metabolic syndrome tracked every two years from 2001 to 2014 were used in this study. Statistical data analyses of the frequency, number of cases per 100,000 person-years, log-rank test, Kaplan-Meier curve, and Cox's proportional hazards regression were performed using IBM SPSS statistics version 24.

Results

During the observation period, the number of colon cancer cases was 46, and the total person-years were 252,444. The incidence of colon cancer was higher in current, over 10 pack-year smokers when compared to non-smokers (hazard ratio=3.38, 95% confidence interval=1.09~8.42).

Conclusion

Excessive and long-term smoking should be avoided to prevent colon cancer, especially in adults with metabolic syndrome, since it might exacerbate the risk factors of colon cancer. Particularly, health professionals need to provide individualized smoking cessation interventions to those at high risk of colon cancer.

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  • Genetic correlation, and causal relationships between 3 solid cancer types and human traits
    Claudia Cava, Ehsan Nazemalhosseini Mojarad, Isabella Castiglioni
    Network Modeling Analysis in Health Informatics and Bioinformatics.2024;[Epub]     CrossRef
  • Ribosomal Protein L9 Maintains Stemness of Colorectal Cancer via an ID-1 Dependent Mechanism
    Eun-Hye Jeon, So-Young Park, Keon Uk Park, Yun-Han Lee
    Journal of Cancer Prevention.2024; 29(2): 25.     CrossRef
  • Unhealthy lifestyle factors and the risk of colorectal cancer: a Mendelian randomization study
    Xingyuan Li, Zewen Chang, Jiaqi Wang, Ke Ding, Shengqi Pan, Hanqing Hu, Qingchao Tang
    Scientific Reports.2024;[Epub]     CrossRef
  • Association between WHO First-Step Analgesic Use and Risk of Breast Cancer in Women of Working Age
    Hyun Sook Oh, Hwa Jeong Seo
    Pharmaceuticals.2023; 16(2): 323.     CrossRef
  • RPL27 contributes to colorectal cancer proliferation and stemness via PLK1 signaling
    So-Young Park, Daekwan Seo, Eun-Hye Jeon, Jee Park, Byeong-Churl Jang, Jee Kim, Seung-Soon Im, Jae-Ho Lee, Shin Kim, Chi Cho, Yun-Han Lee
    International Journal of Oncology.2023;[Epub]     CrossRef
  • Time to Diagnosis and Treatment of Diabetes Mellitus among Korean Adults with Hyperglycemia: Using a Community-Based Cohort Study
    Ihn-Sook Jeong, Chan-Mi Kang
    International Journal of Environmental Research and Public Health.2022; 19(19): 12090.     CrossRef
  • Effects of Nutritious Meal Combined with Online Publicity and Education on Postoperative Nutrition and Psychological State in Patients with Low Rectal Cancer After Colostomy
    Lijuan Qu, Mei Zhou, Yi Yu, Kaili Li, Deepika Koundal
    Computational and Mathematical Methods in Medicine.2022; 2022: 1.     CrossRef
  • Burden of Cancer Due to Cigarette Smoking and Alcohol Consumption in Korea
    Yoon-Sun Jung, Seok-Jun Yoon
    International Journal of Environmental Research and Public Health.2022; 19(6): 3493.     CrossRef
  • Effect and Prognosis Factors of Combining Laparoscopic Radical Resection of Colon Adenocarcinoma with Docetaxel Therapy in Treating Middle and Advanced Colon Adenocarcinoma
    Qi Gao, Caifeng Zhang, Zhichao Dong, Yan Guo, Li Zhang, Sudipta Roy
    Computational Intelligence and Neuroscience.2022; 2022: 1.     CrossRef
  • Cuproptosis-Related genes in the prognosis of colorectal cancer and their correlation with the tumor microenvironment
    Weiqiang Wu, Jingqing Dong, Yang Lv, Dongmin Chang
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • Motivational Factors for Smoking Behaviors in Individuals with Metabolic Syndrome
    Moonkyoung Park, Baram Kang, Ahyun Ryu, YueLin Li, Rhayun Song
    Patient Preference and Adherence.2021; Volume 15: 2847.     CrossRef
  • 372 View
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  • 12 Web of Science
  • 11 Crossref
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The Effects of a Physical Activity-Behavior Modification Combined Intervention(PABM-intervention) on Metabolic Risk Factors in Overweight and Obese Elementary School Children
Young Ran Tak, Ji Yeon An, Young A Kim, Hae Young Woo
Journal of Korean Academy of Nursing 2007;37(6):902-913.   Published online March 28, 2017
DOI: https://doi.org/10.4040/jkan.2007.37.6.902
AbstractAbstract PDF

PURPOSE: The purpose of this study was to identify the effects of a physical activity-behavior modification combined intervention(PABM-intervention) on metabolic risk factors in overweight and obese elementary school children. METHODS: Thirty-two participants (BMI≥85 percentile or relative obesity≥10) were allocated to the PABM-intervention group and behavior modification only intervention group. The PABM-intervention was composed of exercise intervention consisting of 50 minutes of physical activity(Hip-hop dance & gymbased exercises) twice a week and the behavior modification intervention consisted of 50 minutes of instruction for modifying lifestyle habits (diet & exercise) once a week. Effectiveness of intervention was based on waist circumference, BP, HDL-cholesterol, TG, and fasting glucose before and after the intervention. RESULTS: The proportion of subjects with 1, 2, 3 or more metabolic risk factors were 28.1, 43.8, and 15.6%, respectively. After the 8-week intervention, waist circumference, systolic BP, diastolic BP, and HDL-cholesterol changed significantly(p<.01) in the PABM group. CONCLUSION: This provides evidence that a PABM-intervention is effective in changing metabolic risk factors such as waist circumference, systolic BP, diastolic BP, and HDL-cholesterol in overweight and obese elementary school children.

Citations

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  • Moderating effect of Lifestyle and Type D personality on the Relationship between Metabolic Syndrome and Severity of Coronary Artery Disease
    In-Kyoung Noh, Myoung Soo Kim
    Korean Journal of Adult Nursing.2018; 30(3): 290.     CrossRef
  • Influence of Occupational Type and Lifestyle Risk Factors on Prevalence of Metabolic Syndrome among Male Workers: A Retrospective Cohort Study
    So Hui Kang, Seon Young Hwang
    Korean Journal of Adult Nursing.2016; 28(2): 180.     CrossRef
  • Effects of the 26-weeks Obesity Management Program on Obesity Index, Self-esteem, Self-efficacy, and Body Image among Obese Elementary School Children
    Jin Hee Lee, Sangeun Oh
    Journal of the Korea Academia-Industrial cooperation Society.2016; 17(9): 83.     CrossRef
  • The Effects of Weight Reduction Programme for Obese Primary School Students on Serum Lipid Level
    Mi-Hee Jung, Sang-Sook Han, So-Hee Lim
    Journal of the Korea Academia-Industrial cooperation Society.2015; 16(12): 8437.     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
  • The study on risk factors for diagnosis of metabolic syndrome and odds ratio using multifactor dimensionality reduction method
    Mi-Hyun Jin, Jea-Young Lee
    Journal of the Korean Data and Information Science Society.2013; 24(4): 867.     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 metabolic syndrome and sports medicine
    Yun Jun Yang
    Journal of the Korean Medical Association.2011; 54(7): 697.     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
  • Perceived Body Image, Intentional Caloric Restriction and Physical Manifestations of Unbalanced Nutrition according to Body Mass Index in Fifth and Sixth Grade Elementary School Students
    Bo Hwan Kim, Ji Hea Choi
    Journal of Korean Academy of Child Health Nursing.2009; 15(4): 359.     CrossRef
  • The Relationship between Physical Activity and Clustering of Metabolic Abnormalities in Children
    Hyun Jin Son, Mi Kyung Kim, Hyun Ja Kim, Ho Kim, Bo Youl Choi
    Journal of Preventive Medicine and Public Health.2008; 41(6): 427.     CrossRef
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  • 11 Crossref
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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

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  • 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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Comparison of the Metabolic Syndrome Risk Factor Prevalence Forty and Fifty Something Women
Hee Seung Kim, Jeong Ah Oh
Journal of Korean Academy of Nursing 2007;37(4):453-458.   Published online March 28, 2017
DOI: https://doi.org/10.4040/jkan.2007.37.4.453
AbstractAbstract PDF
Purpose

The purpose of this study was to compare metabolic syndrome (MS) risk factor prevalence by obesity and age in middle-aged women.

Method

Two hundred and fifty-one subjects were recruited from the health promotion center of a tertiary care hospital in an urban city. MS was defined by the third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults(Adult Treatment Panel III)(ATPIII), and obesity was determined by body mass index(BMI)≥ or = 25kg/m2.

Results

The mean blood pressure, fasting glucose, total cholesterol, and triglyceride were significantly higher in the obese group than in the non-obese group. The prevalence of MS, hypertension, and impaired fasting glucose were significantly higher in the obese group than in the non-obese group. In the forties, blood pressure was significantly higher in the obese group than in the non-obese group. In the fifties, body fat, systolic blood pressure, fasting glucose, total cholesterol, and triglyceride were significantly higher in the obese group than in the non-obese group.

Conclusions

These results show that the nurse should focus on the obese fifty year old female patients for improvement of the MS risk factors.

Citations

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  • Effects of Heel Raising Exercise whith Kinesio Taping on Triceps Surae Muscle Activity and Balance in 20s Adults
    Geun Hwan Jang, Tae Sung In, Kyung Hun Kim
    The Journal of Korean Academy of Physical Therapy Science.2022; 29(4): 17.     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
  • Comparison of the Metabolic Syndrome Risk Factors, Physical Activity, and Diet Habits between the Fifties and Sixties in Postmenopausal Women
    Hee-Seung Kim, Hye-Ryoung Kim
    Journal of Korean Biological Nursing Science.2013; 15(3): 133.     CrossRef
  • The effect of salt usage behavior on sodium intake and excretion among Korean women
    Jeung Yun Lee, Dong Sook Cho, Hyun Ju Kim
    Nutrition Research and Practice.2012; 6(3): 232.     CrossRef
  • Prevalence of Metabolic Syndrome and Assessment of Food·Nutrient Intakes among Adult Visitors of a Public Health Center in Korea
    Won-Hoon Jeong, Bok-Hee Jin, Eun-Hee Hwang
    Journal of the Korean Society of Food Science and Nutrition.2012; 41(2): 205.     CrossRef
  • Effects of Web-based Health Education on Blood Glucose and Blood Pressure Improvement in Postmenopausal Women with Impaired Fasting Blood Glucose
    Jeong-Ah Oh, Hee-Seung Kim, Min-Jeong Park, Hye-Sun Shim
    Journal of Korean Academy of Nursing.2011; 41(5): 724.     CrossRef
  • Relation of serum total antioxidant status with metabolic risk factors in Korean adults
    Ho-Kyung Kwak, Sun Yoon
    Nutrition Research and Practice.2007; 1(4): 335.     CrossRef
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Effects of Walking Exercise on Metabolic Syndrome Risk Factors and Body Composition in Obese Middle School Girls
Young Hae Kim, Young Ok Yang
Journal of Korean Academy of Nursing 2005;35(5):858-867.   Published online March 28, 2017
DOI: https://doi.org/10.4040/jkan.2005.35.5.858
AbstractAbstract PDF
Purpose

This study was done to determine the effects of walking exercise training(WET) on metabolic syndrome risk factors and body composition in obese middle school girls.

Method

A non-equivalent pretest-posttest experimental design was used. Twenty seven subjects participated in this study from one women's middle school in Busan. The participants were purposely allocated to an experimental group (n=14) and a control group (n=13). The experimental group participated in 30-60 minutes of WET with 55 to 75% of a maximal heart rate six days a week for 12 weeks.

Results

The prevalence of individual risk factors on metabolic syndrome were improved in the experimental group after the intervention. The high waist circumference(WC), high triglyceride(TG), low high density lipoprotein cholesterol(HDL-C), high blood pressure(BP) and high fasting glucose(FG) were 21.4, 21.4, 14.3, 28.6 and 7.2%, respectively. There were significant differences in WC (F=22.24, p<.001), TG (F=5.34, p=0.30), body weight(F=21.99, p<.001), fat mass(F=19.17, p<.001), and % body fat(F=17.93, p<.001) between the experimental and control group after the intervention. However, there were no significant differences in HDL-C, FG and BP between the experimental and control group after the intervention.

Conclusion

These results indicate that WET is effective in decreasing risk factors of the metabolic syndrome and body composition components in obese middle school girls. These findings suggest that WET can be useful as a nursing intervention in the prevention of obesity-related disorders in obese adolescents.

Citations

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  • 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
  • The Association between Muscle Mass and Metabolic Syndrome Configuration among Korean Adults
    Hwa-Ji Kim, Sung-Je Cho, Seong-Hwa Jeong
    Journal of Health Informatics and Statistics.2019; 44(3): 279.     CrossRef
  • Development healthcare PC and multimedia software for improvement of health status and exercise habits
    Sekyoung Youm, Shuai Liu
    Multimedia Tools and Applications.2017; 76(17): 17751.     CrossRef
  • Factors affecting metabolic syndrome by lifestyle
    Nam-Kyun Ki, Hae-Kag Lee, Jae-Hwan Cho, Seon-Chil Kim, Nak-Sang Kim
    Journal of Physical Therapy Science.2016; 28(1): 38.     CrossRef
  • Effects of an 8-Week Outdoor Brisk Walking Program on Fatigue in Hi-Tech Industry Employees
    Li-Ling Wu, Kuo-Ming Wang, Po-I Liao, Yu-Hsiu Kao, Yi-Ching Huang
    Workplace Health & Safety.2015; 63(10): 436.     CrossRef
  • ENDOCRINOLOGY AND ADOLESCENCE: Aerobic exercise reduces insulin resistance markers in obese youth: a meta-analysis of randomized controlled trials
    Antonio García-Hermoso, Jose M Saavedra, Yolanda Escalante, Mairena Sánchez-López, Vicente Martínez-Vizcaíno
    European Journal of Endocrinology.2014; 171(4): R163.     CrossRef
  • The Effects of Lifestyle Factors on Metabolic Syndrome among Adolescents
    Hanju Lee
    Journal of Korean Public Health Nursing.2014; 28(2): 270.     CrossRef
  • Effects of Social support based walking program on community
    Hyun Kim
    Journal of Digital Convergence.2014; 12(7): 357.     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
  • The Effect of Metabolic syndrome Management Program Applying Participatory Action-Oriented Training Principle
    Seong-Yong Yoon, Kuck-Hyeun Woo, Hwa-Sung Kim, Yong-Bae Kim, Jin-Seok Kim, Seong-Yong Jo, Sung-Soo Lee
    Korean Journal of Health Education and Promotion.2014; 31(5): 81.     CrossRef
  • Exercise Strategies for the Prevention and Treatment of Obesity in Children
    Jin-Kyung Cho, Jin-Hee Han, Hyun-Sik Kang, Jin-Hwan Yoon
    The Korean Journal of Obesity.2014; 23(3): 156.     CrossRef
  • Development and Application of a Web-Based Nutritional Management Program to Improve Dietary Behaviors for the Prevention of Metabolic Syndrome
    YOON CHOI, MIN JUNE LEE, HEE CHEOL KANG, MEE SOOK LEE, SUN YOON
    CIN: Computers, Informatics, Nursing.2014; 32(5): 232.     CrossRef
  • Unrestrained Electrocardiograph Based on Textile Electrode and Smartphone Application for Assessment of Bicycle Exercise
    L.Y. Hwang, Y.E. Shin, W.H. Choi, T.M. Shin
    Journal of Biomedical Engineering Research.2014; 35(5): 111.     CrossRef
  • Effects of exercise on resting blood pressure in obese children: a meta‐analysis of randomized controlled trials
    A. García‐Hermoso, J. M. Saavedra, Y. Escalante
    Obesity Reviews.2013; 14(11): 919.     CrossRef
  • Effects of Lifestyle Modification Program on Body Composition, Metabolic Syndrome Markers, and Depression in Obese Postmenopausal Women
    Nam Hee Park
    Journal of Korean Public Health Nursing.2013; 27(2): 313.     CrossRef
  • Comparison of Metabolic Syndrome Components, Abnormal Liver Function, and Living Habits according to Abdominal Obesity in Male and Female Workers
    Honey Park, Yeo-Jin Yi
    Korean Journal of Occupational Health Nursing.2013; 22(4): 334.     CrossRef
  • Effects of a 12-week Combined Exercise Training Program on the Body Composition, Physical Fitness Levels, and Metabolic Syndrome Profiles of Obese Women
    Chang-Ho Ha, Sung Ha, Wi-Young So
    Journal of Korean Public Health Nursing.2012; 26(3): 417.     CrossRef
  • The effects of detraining on blood adipokines and antioxidant enzyme in Korean overweight children
    Jinhee Woo, Ki Ok Shin, Jae-Ho Yoo, Soyoung Park, Sunghwun Kang
    European Journal of Pediatrics.2012; 171(2): 235.     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 Effects of Aerobic Training Intensity Difference on Cardiovascular Disease Pathophysiological Pathways Linking Oxidative Tissue Damage in Obese Children
    Jin-Hee Woo, Ki-Ok Shin, Keun-Soo Kim, Young-Il Kim, Sung-Hwun Kang
    Journal of Life Science.2010; 20(9): 1394.     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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Identifying Latent Classes of Risk Factors for Coronary Artery Disease
Eunsil Ju, JiSun Choi
J Korean Acad Nurs 2017;47(6):817-827.   Published online January 15, 2017
DOI: https://doi.org/10.4040/jkan.2017.47.6.817
AbstractAbstract PDF
Abstract Purpose

This study aimed to identify latent classes based on major modifiable risk factors for coronary artery disease.

Methods

This was a secondary analysis using data from the electronic medical records of 2,022 patients, who were newly diagnosed with coronary artery disease at a university medical center, from January 2010 to December 2015. Data were analyzed using SPSS version 20.0 for descriptive analysis and Mplus version 7.4 for latent class analysis.

Results

Four latent classes of risk factors for coronary artery disease were identified in the final model: ‘smoking-drinking’, ‘high-risk for dyslipidemia’, ‘high-risk for metabolic syndrome’, and ‘high-risk for diabetes and malnutrition’. The likelihood of these latent classes varied significantly based on socio-demographic characteristics, including age, gender, educational level, and occupation.

Conclusion

The results showed significant heterogeneity in the pattern of risk factors for coronary artery disease. These findings provide helpful data to develop intervention strategies for the effective prevention of coronary artery disease. Specific characteristics depending on the subpopulation should be considered during the development of interventions.

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  • The effect of preoperative training provided to patients undergoing coronary artery bypass graft surgery on postoperative comfort
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  • Profiling the socioeconomic characteristics, dietary intake, and health status of Korean older adults for nutrition plan customization: a comparison of principal component, factor, and cluster analyses
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  • Analysis of the Types and Affecting Factors of Older People's Health-related Quality of Life, Using Latent Class Analysis
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  • Diagnosis and risk stratification of coronary artery disease in Yemeni patients using treadmill test
    NouraddenN Aljaber, ShaneiA Shanei, SultanAbdulwadoud Alshoabi, KamalD Alsultan, MoawiaB Gameraddin, KhaledM Al-Sayaghi
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  • Latent Class Analysis for Health-Related Quality of Life in the Middle-Aged Male in South Korea
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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.

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  • Scoping review of research trends in genetic factors related to metabolic syndrome in Koreans: using the data from Korean Genome and Epidemiology Study (KoGES)
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  • 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
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    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
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    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
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  • 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
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    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
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    International Journal of Environmental Research and Public Health.2021; 18(2): 512.     CrossRef
  • Metabolic Syndrome and Functional Fitness Abilities
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    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
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    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
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    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
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  • Prevalence of Central Obesity among Adults with Normal BMI and Its Association with Metabolic Diseases in Northeast China
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    PLOS ONE.2016; 11(7): e0160402.     CrossRef
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Original Articles
Factors associated with Self-Rated Health in Metabolic Syndrome and Relationship between Sleep Duration and Metabolic Syndrome Risk Factors
Bo Gyeong Lee, Jae Yeon Lee, Sun Ah Kim, Dong Min Son, Ok Kyung Ham
J Korean Acad Nurs 2015;45(3):420-428.   Published online June 30, 2015
DOI: https://doi.org/10.4040/jkan.2015.45.3.420
AbstractAbstract PDF
Purpose

Purpose was to explore associations between sleep duration and metabolic syndrome (MS) risks, and to determine factors associated with self-rated health (SRH) of adults with MS compared to other adults.

Methods

This is a secondary data analysis based on the Fifth Korea National Health and Nutrition Examination Survey KNHANES V (N=12662). Study instruments included sleep duration, MS risk factors, SRH and health-related quality of life (HRQoL).

Results

Mean age of participants was 43.68±12.26 years. Fifty-eight percent were women, and 18.3% were identified as having MS. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and SRH were significantly different according to sleep duration (p<.05) among all participants. In the non MS group, male gender, younger age (19~30 and 41~50 age brackets) upper income level, sufficient sleep duration, and high density lipoprotein (HDL) were positively associated with SRH, whereas, lower education levels (≤ middle school), glucose level, and waist circumference were negatively associated with SRH (p<.05). In the MS group, lower income, lower education levels (≤ middle school), glucose level, and waist circumference were negatively associated with SRH, whereas, having an occupation was positively associated with SRH (p<.05).

Conclusion

Results suggest that tailored approaches are required for prevention and control of MS and sleep duration of each individual should be considered rather than applying standardized guidelines. However, as sleep quality was not included in the analysis, further investigations regarding influence of sleep quality on MS and SRH and controlling for other lifestyle and health behavior factors are required.

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    Jiyoung PARK, Byung-sun CHOI
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    Goeun Chung, Hye-Jin Kim
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  • The Unique Role of Self-Rated Health in Metabolic Syndrome and its Diagnostic Cardiometabolic Abnormalities: An Analysis of Population-Based Data
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    Goeun Chung, Hye-Sun Jung, Hye-Jin Kim
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  • The Association between Muscle Mass and Metabolic Syndrome Configuration among Korean Adults
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  • 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
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  • Predictors of Sleep Quality Among Young Adults in Korea: Gender Differences
    Ae Kyung Chang, Jinyi Choi
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  • Impact of Menopausal Status, Metabolic Syndrome and its Risk Factors on Impaired Quality of Life above Middle-aged Women
    Jisoon Kim, Sukhee Ahn
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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

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  • 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
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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.

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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
  • Socioeconomic Disparities in Cardiovascular Health in South Korea
    Chi-Young Lee, Eun-Ok Im
    Journal of Cardiovascular Nursing.2021; 36(1): 8.     CrossRef
  • Measurement of Socioeconomic Position in Research on Cardiovascular Health Disparities in Korea: A Systematic Review
    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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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
J Korean Acad Nurs 2009;39(4):594-601.   Published online August 31, 2009
DOI: https://doi.org/10.4040/jkan.2009.39.4.594
AbstractAbstract PDF
Purpose

The goal of this study was to evaluate the impact of life style characteristics on the prevalence risk of metabolic syndrome (MS).

Methods

A total of 581 adults were recruited from a cardiovascular outpatient clinic. A newly developed comprehensive life style evaluation tool for MS patients was used, and patient data related to the MS diagnosis were reviewed from the hospital records.

Results

The overall prevalence of MS was 53.2%, and the mean of MS score was 2.6 for patients at a cardiovascular outpatient clinic (78% of the patients had hypertension). Dietary habits among the life style characteristics had significant influence on the prevalence risk of MS and MS scores. And also interestingly, the classification and regression tree (CART) model suggested that the high prevalence risk groups for MS were older adults (61.5≤age<79.4), and adults between 48.5 and 61.5 yr of age with bad dietary habits.

Conclusion

This study indicates that nurses should focus on dietary habits of patients (especially patients classified as high prevalence risk for MS) for improvement and prevention of MS prevalence risk.

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  • Nomogram for screening the risk of developing metabolic syndrome using naïve Bayesian classifier
    Minseok Shin, Jeayoung Lee
    Communications for Statistical Applications and Methods.2023; 30(1): 21.     CrossRef
  • Building a Nomogram for Metabolic Syndrome Using Logistic Regression with a Complex Sample—A Study with 39,991,680 Cases
    Min-Seok Shin, Jea-Young Lee
    Healthcare.2022; 10(2): 372.     CrossRef
  • Association between Clustering of Lifestyle and Chronic Disease Using Healthcare Big Data
    Eul Hee Roh, Sang Chan Park
    Journal of Health Informatics and Statistics.2020; 45(2): 113.     CrossRef
  • The Effect of Stress on Prevalence Risk of Metabolic Syndrome among Korean Adults
    Mee Young Im
    STRESS.2019; 27(4): 441.     CrossRef
  • Field Application and Evaluation of Health Status Assessment Tool based on Dietary Patterns for Middle-Aged Women
    Hye-Jin Lee, Kyung-Hea Lee
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The Analysis of Intervention Studies for Patients with Metabolic Syndrome
Eui Geum Oh, Soo Hyun Kim, Sa Sang Hyun, Myung Sook Kang, So Youn Bang
Journal of Korean Academy of Nursing 2007;37(1):72-80.   Published online February 28, 2007
DOI: https://doi.org/10.4040/jkan.2007.37.1.72
AbstractAbstract PDF
Purpose

This study was to analyze the trend of research on intervention for patients with metabolic syndrome.

Method

Using Pubmed, Medline, and CINAHL search engines, a randomized controlled trial(RCT) researching titles such as “metabolic syndrome”, “intervention”, “lifestyle modification”, or “community-based” were collected. A total of 16 researches were analyzed based on the guidelines of the National Cholesterol Education Program-Adult Treatment Panel(NCEP-ATP III).

Results

1) The total period of the intervention was from 12 to 24 weeks, the frequency was 3 to 5 times per week, and the duration of each session was from 45 to 60 minutes. The types of intervention included exercise, diet, and medication. Among these types, diet was performed most frequently. 2) The outcomes of the intervention was measured with physical aspects such as anthropometric measures, body composition, or biological markers. No studies have evaluated psychosocial outcomes such as quality of life. 3) In terms of effectiveness of the intervention, anthropometric indicators, body composition, or serological markers showed positive effects, whereas results on endothelial or urine indicators were inconsistent.

Conclusion

Methodological research developing comprehensive therapeutic lifestyle modification programs and intervention studies are needed for patients with metabolic syndrome. In addition, effects should be evaluated with multidimensional perspectives.

Citations

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    Hyekyeong Kim, Eunhee Nah
    Korean Journal of Health Education and Promotion.2015; 32(4): 37.     CrossRef
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