Young-Joo Park; Nah-Mee Shin; Ji-Won Yoon; Jiwon Choi; Sook-Ja Lee

doi:10.4040/jkan.2010.40.6.831

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Original Article
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; Journal of Korean Academy of Nursing 2010;40(6):831-843.
DOI: https://doi.org/10.4040/jkan.2010.40.6.831
Published online: December 31, 2010

¹Professor, College of Nursing, Korea University, Seoul, Korea.

²Assistant Professor, College of Nursing, Korea University, Seoul, Korea.

³Full-time Instructor, Department of Nursing, Suwon Women's College, Suwon, Korea.

⁴Adjunct Assistant Professor, University of California, San Francisco, School of Nursing, San Francisco, USA.

⁵Professor, College of Nursing, Korea University, Seoul, Korea.

Address reprint requests to: Shin, Nah-Mee. Assistant Professor, College of Nursing, Korea University 126-1 Anam-dong 5-ga, Seongbuk-gu, Seoul 136-701, Korea. Tel: 82-10-2795-1602, Fax: 82-2-927-4676, nshin@korea.ac.kr

• Received: April 15, 2010 • Accepted: December 28, 2010

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Abstract
NOTES
REFERENCES

Abstract

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.
Keywords: Cardiovascular diseases; Hypertension; Dyslipidemias; Obesity; Metabolic syndrome X

This study was funded by the Korea Institute for Health and Social affairs, Management Center for Health Promotion (General 09-46) and the Korea University Research Fund for New Faculty.

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Table 1

Comparison of the Biophysical Indicators between Low Income Women and Non-Low Income Women (N=86)

^*by ANCOVA with age as the controlling factor.

Table 2

Sociodemographic and Disease-related Characteristics of Low Income Women and Non-Low Income Women (N=86)

LIW=low income women; NLIW=non-low income women.

Table 3

Prevalence of Metabolic Syndrome and Estimate of 10-Year Risk of Myocardial Infarction and Coronary Death

^*by ANCOVA with age as the controlling factor.

MI=myocardial infarction.

Table 4

Comparison of Health related Lifestyle Factors etween Low Income Women and Non-Low Income Women

LIW=low income women; NLIW=non-low income women.

Figure & Data

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Comparison of Cardiovascular Health Status and Health Behaviors in Korean Women based on Household Income

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

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Comparison of Cardiovascular Health Status and Health Behaviors in Korean Women based on Household Income

Table 1

Comparison of the Biophysical Indicators between Low Income Women and Non-Low Income Women (N=86)

^*by ANCOVA with age as the controlling factor.

Table 2

Sociodemographic and Disease-related Characteristics of Low Income Women and Non-Low Income Women (N=86)

LIW=low income women; NLIW=non-low income women.

Table 3

Prevalence of Metabolic Syndrome and Estimate of 10-Year Risk of Myocardial Infarction and Coronary Death

^*by ANCOVA with age as the controlling factor.

MI=myocardial infarction.

Table 4

Comparison of Health related Lifestyle Factors etween Low Income Women and Non-Low Income Women

LIW=low income women; NLIW=non-low income women.

Table 1 Comparison of the Biophysical Indicators between Low Income Women and Non-Low Income Women (N=86)

^*by ANCOVA with age as the controlling factor.

Table 2 Sociodemographic and Disease-related Characteristics of Low Income Women and Non-Low Income Women (N=86)

LIW=low income women; NLIW=non-low income women.

Table 3 Prevalence of Metabolic Syndrome and Estimate of 10-Year Risk of Myocardial Infarction and Coronary Death

^*by ANCOVA with age as the controlling factor.

MI=myocardial infarction.

Table 4 Comparison of Health related Lifestyle Factors etween Low Income Women and Non-Low Income Women