Cited 2 time in
Obesity measures at baseline, their trajectories over time, and the incidence of chronic kidney disease: A 14 year cohort study among Korean adults
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhang, Hyun-Soo | - |
| dc.contributor.author | An, Seokyung | - |
| dc.contributor.author | Ahn, Choonghyun | - |
| dc.contributor.author | Park, Sue K. | - |
| dc.contributor.author | Park, Boyoung | - |
| dc.date.accessioned | 2022-07-07T00:34:25Z | - |
| dc.date.available | 2022-07-07T00:34:25Z | - |
| dc.date.created | 2021-05-11 | - |
| dc.date.issued | 2021-03 | - |
| dc.identifier.issn | 0939-4753 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/142260 | - |
| dc.description.abstract | Background and aims We investigated the association of baseline obesity measures, i.e. body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-hip ratio (WHR), and their trajectories over time with incident chronic kidney disease (CKD). Methods and results Utilizing data from 2001 to 2014 for 9796 Korean adults without CKD at baseline, the association of baseline obesity measures with incident CKD was evaluated using logistic regression. Further, among 5605 subjects with repeated measures, the effect of the trajectories in obesity measures on CKD incidence was investigated via Cox regression. Baseline obesity in terms of BMI, WC, and HC increased the odds of incident CKD (odds ratio (OR) 1.19, 95% confidence interval (CI) 1.05–1.33; OR 1.22, 95% CI 1.07–1.38; and OR 1.25, 95% CI 1.11–1.41, respectively), while baseline WHR did not show such an association. A “became non-obese” BMI, WC, or WHR trajectory, and a “constantly not large” HC trajectory decreased the hazard of incident CKD (hazard ratio (HR) 0.70, 95% CI 0.50–0.99; HR 0.61, 95% CI 0.40–0.92; HR 0.55, 95% CI 0.35–0.85; and HR 0.81, 95% CI 0.69–0.95, respectively) when compared with a “constantly obese or became obese” trajectory. Conclusion Both baseline obesity and obesity trajectories over time were associated with CKD incidence. BMI and WC were equally good measures of CKD risk, while WHR was not. Separately examining WC and HC components of WHR (= WC/HC) may explain WHR's inconsistency, and WHR's usefulness as a measure of CKD risk should be reevaluated. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Elsevier B.V. | - |
| dc.title | Obesity measures at baseline, their trajectories over time, and the incidence of chronic kidney disease: A 14 year cohort study among Korean adults | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Park, Boyoung | - |
| dc.identifier.doi | 10.1016/j.numecd.2020.10.021 | - |
| dc.identifier.scopusid | 2-s2.0-85100376453 | - |
| dc.identifier.wosid | 000621604300011 | - |
| dc.identifier.bibliographicCitation | Nutrition, Metabolism and Cardiovascular Diseases, v.31, no.3, pp.782 - 792 | - |
| dc.relation.isPartOf | Nutrition, Metabolism and Cardiovascular Diseases | - |
| dc.citation.title | Nutrition, Metabolism and Cardiovascular Diseases | - |
| dc.citation.volume | 31 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 782 | - |
| dc.citation.endPage | 792 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Article | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Cardiovascular System & Cardiology | - |
| dc.relation.journalResearchArea | Endocrinology & Metabolism | - |
| dc.relation.journalResearchArea | Nutrition & Dietetics | - |
| dc.relation.journalWebOfScienceCategory | Cardiac & Cardiovascular Systems | - |
| dc.relation.journalWebOfScienceCategory | Endocrinology & Metabolism | - |
| dc.relation.journalWebOfScienceCategory | Nutrition & Dietetics | - |
| dc.subject.keywordPlus | high density lipoprotein cholesterol | - |
| dc.subject.keywordPlus | triacylglycerol | - |
| dc.subject.keywordPlus | adult | - |
| dc.subject.keywordPlus | alcohol consumption | - |
| dc.subject.keywordPlus | anthropometry | - |
| dc.subject.keywordPlus | Article | - |
| dc.subject.keywordPlus | body mass | - |
| dc.subject.keywordPlus | chronic kidney failure | - |
| dc.subject.keywordPlus | cohort analysis | - |
| dc.subject.keywordPlus | estimated glomerular filtration rate | - |
| dc.subject.keywordPlus | female | - |
| dc.subject.keywordPlus | follow up | - |
| dc.subject.keywordPlus | hip circumference | - |
| dc.subject.keywordPlus | human | - |
| dc.subject.keywordPlus | incidence | - |
| dc.subject.keywordPlus | major clinical study | - |
| dc.subject.keywordPlus | male | - |
| dc.subject.keywordPlus | middle aged | - |
| dc.subject.keywordPlus | obesity | - |
| dc.subject.keywordPlus | prevalence | - |
| dc.subject.keywordPlus | proteinuria | - |
| dc.subject.keywordPlus | risk factor | - |
| dc.subject.keywordPlus | waist circumference | - |
| dc.subject.keywordPlus | aged | - |
| dc.subject.keywordPlus | anthropometry | - |
| dc.subject.keywordPlus | chronic kidney failure | - |
| dc.subject.keywordPlus | comparative study | - |
| dc.subject.keywordPlus | obesity | - |
| dc.subject.keywordPlus | predictive value | - |
| dc.subject.keywordPlus | risk assessment | - |
| dc.subject.keywordPlus | South Korea | - |
| dc.subject.keywordPlus | time factor | - |
| dc.subject.keywordPlus | waist to height ratio | - |
| dc.subject.keywordAuthor | Body mass index | - |
| dc.subject.keywordAuthor | Chronic kidney disease | - |
| dc.subject.keywordAuthor | Hip circumference | - |
| dc.subject.keywordAuthor | Waist circumference | - |
| dc.subject.keywordAuthor | Waist-hip ratio | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0939475320304762?via%3Dihub | - |
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