Bo Hwan Kim; Sang Baek Koh; Hea Kung Hur; Jong-Ku Park; So Mi Park

doi:10.4040/jkan.2009.39.5.641

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Original Article
Women's Cancer Screening According to Body Mass Index in a Cohort of Rural Korean Women: Bo Hwan Kim, Sang Baek Koh, Hea Kung Hur, Jong-Ku Park, So Mi Park; Journal of Korean Academy of Nursing 2009;39(5):641-650.
DOI: https://doi.org/10.4040/jkan.2009.39.5.641
Published online: October 31, 2009

¹Post-doctoral Researcher, Department of Endocrine Internal Medicine, Wonju College of Medicine, Yonsei University, Korea.

²Associate Professor, Department of Preventive Medicine, Institute of Genomic Cohort, Wonju College of Medicine, Yonsei University, Korea.

³Professor, Department of Nursing, Wonju College of Medicine, Yonsei University, Korea.

⁴Professor, Department of Preventive Medicine, Institute of Genomic Cohort, Wonju College of Medicine, Yonsei University, Korea.

⁵Associate Professor, Department of Nursing, Institute of Genomic Cohort, Wonju College of Medicine, Yonsei University, Wonju, Korea.

Address reprint requests to: Park, So Mi. Department of Nursing, Wonju College of Medicine, Yonsei University, 162 Ilsan-dong, Wonju 220-701, Korea. Tel: 82-33-741-0388, Fax: 82-33-743-9490, somi@yonsei.ac.kr

• Received: April 29, 2009 • Accepted: August 5, 2009

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Abstract
NOTES
REFERENCES

Abstract

Purpose
This study was done to examine the difference in cancer screening with mammography and Papanicolaou smear according to Body Mass Index (BMI).
Methods
The participants in this study were 5,912 women ages 40 to 69 yr, selected from the Korean Genomic Regional Cohort in Kangwon province. Mammography and Papanicolaou smear were assessed by questionnaire and body weight (kg) and height (m) measured to calculate BMI.
Results
The distribution of BMI was as follows: low weight (1.5%), normal weight (31.1%), over weight (24.6%), mildly obese (36.4%) and severely obese (6.3%). After adjusting for age, education and monthly income, compared with normal weight women, overweight women (odds ratio [OR]=1.283, 95% confidence interval [CI]=1.089-1.513) and mildly obese women (OR=1.214, 95% CI=1.048-1.406) were less likely to have had mammography. In contrast to mammography, cancer screening with Papanicolaou smear was not significantly different by BMI.
Conclusion
Obese women in rural areas are less likely to screen for breast cancer by using mammography than non obese women. To ensure regular screening for breast cancer, health care providers need to give scrupulous care to obese women and remove barriers originated from obesity. Also, educational and clinical implications are considered to increase the Papanicolaou smear rate.
Keywords: Body mass index; Mammography; Papanicolaou smear

This work was supported by the Korea Research Foundation Grant funded by the Korea Goverment (KRF-2008-8-1517).

REFERENCES

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Table 1

Characteristics of Participants (N=5,912)

^*Exclude missing data and not applicable cases.

BMI=body mass index.

Table 2

Distribution of the Characteristics in Women's Cancer Screening Behaviors (N=5,912)

^*Exclude missing data and not applicable cases.

Table 3

Comparison of BMI categories according to Demographic Socioeconomic Characteristics (N=5,912)

^*Exclude missing data and not applicable cases.

BMI=body mass index.

Table 4

Comparison of Women's Cancer Screening Behaviors among BMI groups (N=5,912)

^*Exclude missing data and not applicable cases.

BMI=body mass index.

Table 5

Women's Cancer Screening according to Levels of BMI: Logistic Regression Results (N=5,912)

^*p<.05; ^**p<.01. ^†Adjusted variables: age, education and economic level.

BMI=body mass index; OR=odds ratio; CI=confidence interval.

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Women's Cancer Screening According to Body Mass Index in a Cohort of Rural Korean Women

J Korean Acad Nurs. 2009;39(5):641-650. Published online October 31, 2009

DOI: https://doi.org/10.4040/jkan.2009.39.5.641

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Women's Cancer Screening According to Body Mass Index in a Cohort of Rural Korean Women

Table 1

Characteristics of Participants (N=5,912)

^*Exclude missing data and not applicable cases.

BMI=body mass index.

Table 2

Distribution of the Characteristics in Women's Cancer Screening Behaviors (N=5,912)

^*Exclude missing data and not applicable cases.

Table 3

Comparison of BMI categories according to Demographic Socioeconomic Characteristics (N=5,912)

^*Exclude missing data and not applicable cases.

BMI=body mass index.

Table 4

Comparison of Women's Cancer Screening Behaviors among BMI groups (N=5,912)

^*Exclude missing data and not applicable cases.

BMI=body mass index.

Table 5

Women's Cancer Screening according to Levels of BMI: Logistic Regression Results (N=5,912)

^*p<.05; ^**p<.01. ^†Adjusted variables: age, education and economic level.

BMI=body mass index; OR=odds ratio; CI=confidence interval.

Table 1 Characteristics of Participants (N=5,912)

^*Exclude missing data and not applicable cases.

BMI=body mass index.

Table 2 Distribution of the Characteristics in Women's Cancer Screening Behaviors (N=5,912)

^*Exclude missing data and not applicable cases.

Table 3 Comparison of BMI categories according to Demographic Socioeconomic Characteristics (N=5,912)

^*Exclude missing data and not applicable cases.

BMI=body mass index.

Table 4 Comparison of Women's Cancer Screening Behaviors among BMI groups (N=5,912)

^*Exclude missing data and not applicable cases.

BMI=body mass index.

Table 5 Women's Cancer Screening according to Levels of BMI: Logistic Regression Results (N=5,912)