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Eunsun Seo 2 Articles
Association Between Parity and Low Bone Density Among Postmenopausal Korean Women
Eunsun Seo, Yongrong Lee, Hyeon Chang Kim
J Prev Med Public Health. 2021;54(4):284-292.   Published online June 24, 2021
DOI: https://doi.org/10.3961/jpmph.21.162
  • 3,453 View
  • 128 Download
  • 4 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
Low bone density (LBD) in the postmenopausal period has long been a pervasive public health concern; however, the association between parity and LBD has yet to be fully elucidated. Thus, we investigated the association between parity and LBD in postmenopausal Korean women.
Methods
This study used baseline data from 1287 Korean postmenopausal women aged 40 years or older enrolled in the Cardiovascular and Metabolic Diseases Etiology Research Center community-based cohort study conducted in Korea from 2013 to 2017. The main exposure was parity (nullipara, 1, 2, 3+). The main outcome was LBD, including osteopenia and osteoporosis, based on bone mineral density measured using quantitative computed tomography of the lumbar spine (L1-2).
Results
The mean age of participants was 57.1 years, and the median parity was 2. Of the 1287 participants, 594 (46.2%) had osteopenia and 147 (11.4%) had osteoporosis. No significant difference in the prevalence of LBD was found between nullipara and parous women, whereas higher parity was associated with a higher risk of LBD among parous women; the adjusted odds ratio (95% confidence interval) for the presence of LBD was 1.40 (0.97 to 2.02) for a parity of 2 and 1.95 (1.23 to 3.09) for a parity of 3 relative to a parity of 1.
Conclusions
Women who have given birth multiple times may be at greater risk of bone loss after menopause; therefore, they should be a major target population for osteoporosis prevention.
Summary
Korean summary
40-64세 폐경 여성 1287명을 대상으로 과거 출산 횟수와 골밀도의 관련성을 평가하였다. 정량적 전산화 단층촬영(QCT)으로 L1-L2의 평균 골무기질밀도(bone mineral density, BMD)를 측정하였으며, 그 값이 120mg/cm3 미만이면 골밀도 감소가 있는 것으로 정의하였다. 나이, 비만도, 폐경후기간, 직업, 소득, 교육, 결혼, 흡연, 음주, 신체활동, 질병력 등을 보정하여도, 출산횟수가 많을수록 평균 골밀도는 낮고 골밀도감소의 빈도는 높은 경향이 관찰되었다.

Citations

Citations to this article as recorded by  
  • The Heterogeneity of Post-Menopausal Disease Risk: Could the Basis for Why Only Subsets of Females Are Affected Be Due to a Reversible Epigenetic Modification System Associated with Puberty, Menstrual Cycles, Pregnancy and Lactation, and, Ultimately, Meno
    David A. Hart
    International Journal of Molecular Sciences.2024; 25(7): 3866.     CrossRef
  • Bridging the Gap: Pregnancy—And Lactation—Associated Osteoporosis
    Mara Carsote, Maria Roxana Turturea, Ana Valea, Cristian Buescu, Claudiu Nistor, Ionut Florin Turturea
    Diagnostics.2023; 13(9): 1615.     CrossRef
  • Associations of breastfeeding duration and the total number of children breastfed with self-reported osteoarthritis in Korea women 50 years and older: a cross-sectional study
    Dajeong Ham, Sanghyuk Bae
    Epidemiology and Health.2023; 45: e2023044.     CrossRef
  • Association between parity and bone mineral density in postmenopausal women
    Yimei Yang, Shanshan Wang, Hui Cong
    BMC Women's Health.2022;[Epub]     CrossRef
Comparison of Computed Tomography-based Abdominal Adiposity Indexes as Predictors of Non-alcoholic Fatty Liver Disease Among Middle-aged Korean Men and Women
Jongmin Baek, Sun Jae Jung, Jee-Seon Shim, Yong Woo Jeon, Eunsun Seo, Hyeon Chang Kim
J Prev Med Public Health. 2020;53(4):256-265.   Published online June 18, 2020
DOI: https://doi.org/10.3961/jpmph.20.140
  • 4,822 View
  • 163 Download
  • 3 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
We compared the associations of 3 computed tomography (CT)-based abdominal adiposity indexes with non-alcoholic fatty liver disease (NAFLD) among middle-aged Korean men and women.
Methods
The participants were 1366 men and 2480 women community-dwellers aged 30-64 years. Three abdominal adiposity indexes—visceral fat area (VFA), subcutaneous fat area (SFA), and visceral-to-subcutaneous fat ratio (VSR)—were calculated from abdominal CT scans. NAFLD was determined by calculating the Liver Fat Score from comorbidities and blood tests. An NAFLD prediction model that included waist circumference (WC) as a measure of abdominal adiposity was designated as the base model, to which VFA, SFA, and VSR were added in turn. The area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), and net reclassification improvement (NRI) were calculated to quantify the additional predictive value of VFA, SFA, and VSR relative to WC.
Results
VFA and VSR were positively associated with NAFLD in both genders. SFA was not significantly associated with NAFLD in men, but it was negatively associated in women. When VFA, SFA, and VSR were added to the WC-based NAFLD prediction model, the AUC improved by 0.013 (p<0.001), 0.001 (p=0.434), and 0.009 (p=0.007) in men and by 0.044 (p<0.001), 0.017 (p<0.001), and 0.046 (p<0.001) in women, respectively. The IDI and NRI were increased the most by VFA in men and VSR in women.
Conclusions
Using CT-based abdominal adiposity indexes in addition to WC may improve the detection of NAFLD. The best predictive indicators were VFA in men and VSR in women.
Summary

Citations

Citations to this article as recorded by  
  • Relationship between Non-Alcoholic Fatty Liver Disease and Visceral Fat Measured by Imaging-Based Body Composition Analysis: A Systematic Review
    Ker Ming Seaw, Christiani Jeyakumar Henry, Xinyan Bi
    Livers.2023; 3(3): 463.     CrossRef
  • Stratifying the risk of ovarian cancer incidence by histologic subtypes in the Korean Epithelial Ovarian Cancer Study (Ko‐EVE)
    Soseul Sung, Youjin Hong, Byoung‐Gie Kim, Ji‐Yeob Choi, Jae Weon Kim, Sang‐Yoon Park, Jae‐Hoon Kim, Yong‐man Kim, Jong‐Min Lee, Tae Jin Kim, Sue K. Park
    Cancer Medicine.2023; 12(7): 8742.     CrossRef
  • Correlation between CT Abdominal Anthropometric Measurements and Liver Density in Individuals with Non-Alcoholic Fatty Liver Disease
    Dragoș Constantin Cucoranu, Marian Pop, Raluca Niculescu, Vlad Vunvulea, Irina-Bianca Kosovski, Radu-Ovidiu Togănel, Eliza Russu, Adrian Vasile Mureșan, Răzvan-Andrei Licu, Anca Bacârea
    Medicina.2023; 59(3): 500.     CrossRef

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