Ji-Soo Yoo; Jeong In Jeong; Chang Gi Park; Se Won Kang; Jeong-Ah Ahn

doi:10.4040/jkan.2009.39.4.594

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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; Journal of Korean Academy of Nursing 2009;39(4):594-601.
DOI: https://doi.org/10.4040/jkan.2009.39.4.594
Published online: August 31, 2009

¹Professor, College of Nursing Researcher, Nursing Policy Research Institute, Yonsei University, Seoul, Korea.

²Team Manager, Department of Nursing, Severance Hospital, Seoul, Korea.

³Researcher, University of Illinois at Chicago, IL, USA.

⁴Post-doctoral Fellow, University of Illinois at Chicago, IL, USA.

⁵Doctoral Student, College of Nursing, Yonsei University, Seoul, Korea.

Address reprint requests to: Ahn, Jeong-Ah. College of Nursing, Yonsei University, 262 Seongsan-ro, Seodaemun-gu, Seoul 120-752, Korea. Tel: 82-2-2228-3252, Fax: 82-2-392-5440, narcii@hanmail.net

• Received: March 18, 2009 • Accepted: August 4, 2009

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Abstract
NOTES
REFERENCES

Abstract

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.
Keywords: Life style; Dietary habits; Metabolic syndrome; Prevalence

This work was supported by Yonsei University College of Nursing, 2008.

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Figure 1

Comparison of dietary habit scores among the metabolic syndrome score groups.

^*p<.05 between MS score 2 and MS score 5; ^**p<.01 between MS score 0 and MS score 5.

MS=Metabolic syndrome.

Figure 2

CART model obtained for combined age, dietary habit and stress management score. Circled numbers depicted groups. 0 indicates non-MS group; 1, MS group.

CART=classification and regression tree; MS=metabolic syndrome.

Table 1

Comparison of Demographic Characteristics between the Patients with and without Metabolic Syndrome

^*No response excluded. MS=metabolic syndrome.

Table 2

Comparison of Life Style Mean Scores among the Patient Groups with or without Metabolic Syndrome, and Metabolic Syndrome Scores

^*p<.05. MS=Metabolic syndrome.

Table 3

Odds Ratios of Binary and Ordinal Logistic Regression Model of Metabolic Syndrome

^*p<.05; ^**p<.01.

MS=metabolic syndrome; OR=odds ratio; CI=confidence interval.

Figure & Data

REFERENCES

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Impact of Life Style Characteristics on Prevalence Risk of Metabolic Syndrome

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

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Impact of Life Style Characteristics on Prevalence Risk of Metabolic Syndrome

Figure 1 Comparison of dietary habit scores among the metabolic syndrome score groups. *p<.05 between MS score 2 and MS score 5; **p<.01 between MS score 0 and MS score 5. MS=Metabolic syndrome.

Figure 2 CART model obtained for combined age, dietary habit and stress management score. Circled numbers depicted groups. 0 indicates non-MS group; 1, MS group. CART=classification and regression tree; MS=metabolic syndrome.

Figure 1

Figure 2

Impact of Life Style Characteristics on Prevalence Risk of Metabolic Syndrome

Table 1

Comparison of Demographic Characteristics between the Patients with and without Metabolic Syndrome

^*No response excluded. MS=metabolic syndrome.

Table 2

Comparison of Life Style Mean Scores among the Patient Groups with or without Metabolic Syndrome, and Metabolic Syndrome Scores

^*p<.05. MS=Metabolic syndrome.

Table 3

Odds Ratios of Binary and Ordinal Logistic Regression Model of Metabolic Syndrome

^*p<.05; ^**p<.01.

MS=metabolic syndrome; OR=odds ratio; CI=confidence interval.

Table 1 Comparison of Demographic Characteristics between the Patients with and without Metabolic Syndrome

^*No response excluded. MS=metabolic syndrome.

Table 2 Comparison of Life Style Mean Scores among the Patient Groups with or without Metabolic Syndrome, and Metabolic Syndrome Scores

^*p<.05. MS=Metabolic syndrome.

Table 3 Odds Ratios of Binary and Ordinal Logistic Regression Model of Metabolic Syndrome