Association of Metabolic Syndrome with the Number of Breastfed
Children in Postmenopausal Korean Women
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Published:2022-03
Issue:4
Volume:25
Page:752-762
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ISSN:1386-2073
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Container-title:Combinatorial Chemistry & High Throughput Screening
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language:en
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Short-container-title:CCHTS
Author:
Hwang Jeonghee1ORCID,
Chi Jeonghee2ORCID
Affiliation:
1. Department of Computer Software, Namseoul University, Cheonan,Korea
2. Department of Computer Science and Engineering, Konkuk University, Seoul,Korea
Abstract
Background:
Metabolic syndrome is closely related to cardiovascular disease, and the prevalence of metabolic
syndrome in postmenopausal women is increasing rapidly.
Objective:
The purpose of this study is to investigate the association between the number of breastfed children and the risk
factors for metabolic syndrome in postmenopausal women and to evaluate the association between metabolic syndrome and
bone mineral density and body composition variables in postmenopausal women depending on the number of breastfed
children.
Methods:
Data from KNHANES V-1 and 2 (2010-2011) were used, and a total of 939 PM women with 1 to 6 breastfed
children aged 65-80 years participated in this study. We divided these women into three groups (group1 with 1-2, group2
with 3-4, group3 with 5-6) depending on the number of breastfed children.
Result:
In analysis of the associations between metabolic syndrome and its risk factors, high-density lipoprotein cholesterol
was the most negatively strongly associated with group1 (OR=0.103 [0.047-0.225]), triglyceride showed the highest
association with group2 (OR=7.760 [3.770-15.97]) and group3 (OR=7.668 [4.102-14.33]). The risk factors of metabolic
syndrome except for high-density lipoprotein cholesterol and triglyceride was not associated with group1, while all risk
factors of metabolic syndrome displayed a high association with group2 and group3.
Conclusion:
The findings of the present study suggest that the number of breastfed children is significantly associated with
a greater number of risk factors of metabolic syndrome in postmenopausal women, and the association between metabolic
syndrome and body composition variables may differ depending on the number of breastfed children.
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine