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Original Article

The Prevalence and the Related Factors of Metabolic Syndrome in Urban and Rural Community

Moon Jeong Kim, Eunok Park
Korean Journal of Adult Nursing 2014;26(1):67-77.
Published online: February 28, 2014

College of Nursing, Jeju National University, Jeju, Korea.

Corresponding author: Park, Eunok. College of Nursing, Jeju National University, 66 Jejudaehak-ro, Ara 1-dong, Jeju 690-756, Korea. Tel: +82-64-754-3882, Fax: +82-64-702-2686, eopark@jejunu.ac.kr
• Received: July 25, 2013   • Revised: December 25, 2013   • Accepted: February 2, 2014

© 2014 Korean Society of Adult Nursing

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  • Purpose
    The purpose of this study is to investigate the prevalence of metabolic syndrome and its components and to examine the related factors in urban and rural community, South Korea.
  • Methods
    The data from the 5th Korea National Health and Nutrition Examination Survey (KNHANES-V) conducted in 2010 were utilized in this study. The subjects were 5,760 adults 20 years or over. The data were consisted with health survey questionnaire and health examination. χ2-test and logistic regression was used for the analysis SAS 9.3 applying sampling weights.
  • Results
    The prevalence of metabolic syndrome based on the latest definition proposed the joint scientific meeting was 23.4% and 29.0% respectively in urban and rural community. Rural community showed higher prevalence of abdominal obesity (29.9% vs 38.5%), elevated blood pressure (31.3% vs 38.5%), elevated blood glucose (24.3% vs 28.4%) than urban community. The related factors were age, marital status, high risk drinking, obesity in urban community and age, marital status high risk drinking, severe physical activity, obesity in rural community.
  • Conclusion
    This study showed there was difference in prevalence and the related factors of metabolic syndrome and these findings have important implications to prevent and manage metabolic syndrome in public health field.
  • Key Words: Metabolic syndrome; Adult; Prevalence; Residence characteristics

This research was supported by the 2013 scientific promotion program funded by Jeju National University.

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Table 1
Sociodemographic Characteristics and Health Behaviors in Urban and Rural Area
kjan-26-67-i001.jpg

BMI=body mass index.

Table 2
Comparison of Age-adjusted Prevalences of Metabolic Syndrome Components in Urban and Rural Community
kjan-26-67-i002.jpg

Wt=weighted, HDL=high density lipid, SBP=systolic blood pressure, DBP=dyastolic blood pressure, FPG=Fasting plasma glucose, DM=diabetes mellitus.

Table 3
Age-adjusted Prevalences of Metabolic Syndrome in Urban and Rural Area
kjan-26-67-i003.jpg

Wt=weighted, BMI=body mass index.

Table 4
Multiple Logistic Regression Analysis for Relating Factors of Metabolic Syndrome in Urban and Rural Area
kjan-26-67-i004.jpg

OR=odds ratio; CI=confidence interval.

Figure & Data

References

    Citations

    Citations to this article as recorded by  
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    The Prevalence and the Related Factors of Metabolic Syndrome in Urban and Rural Community
    Korean J Adult Nurs. 2014;26(1):67-77.   Published online February 28, 2014
    DOI: https://doi.org/10.7475/kjan.2014.26.1.67
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    The Prevalence and the Related Factors of Metabolic Syndrome in Urban and Rural Community
    Korean J Adult Nurs. 2014;26(1):67-77.   Published online February 28, 2014
    DOI: https://doi.org/10.7475/kjan.2014.26.1.67
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    The Prevalence and the Related Factors of Metabolic Syndrome in Urban and Rural Community
    The Prevalence and the Related Factors of Metabolic Syndrome in Urban and Rural Community

    Sociodemographic Characteristics and Health Behaviors in Urban and Rural Area

    BMI=body mass index.

    Comparison of Age-adjusted Prevalences of Metabolic Syndrome Components in Urban and Rural Community

    Wt=weighted, HDL=high density lipid, SBP=systolic blood pressure, DBP=dyastolic blood pressure, FPG=Fasting plasma glucose, DM=diabetes mellitus.

    Age-adjusted Prevalences of Metabolic Syndrome in Urban and Rural Area

    Wt=weighted, BMI=body mass index.

    Multiple Logistic Regression Analysis for Relating Factors of Metabolic Syndrome in Urban and Rural Area

    OR=odds ratio; CI=confidence interval.
    Table 1 Sociodemographic Characteristics and Health Behaviors in Urban and Rural Area

    BMI=body mass index.

    Table 2 Comparison of Age-adjusted Prevalences of Metabolic Syndrome Components in Urban and Rural Community

    Wt=weighted, HDL=high density lipid, SBP=systolic blood pressure, DBP=dyastolic blood pressure, FPG=Fasting plasma glucose, DM=diabetes mellitus.

    Table 3 Age-adjusted Prevalences of Metabolic Syndrome in Urban and Rural Area

    Wt=weighted, BMI=body mass index.

    Table 4 Multiple Logistic Regression Analysis for Relating Factors of Metabolic Syndrome in Urban and Rural Area

    OR=odds ratio; CI=confidence interval.

    Table 1

    Table 2

    Table 3

    Table 4

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