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      Effect of obesity and metabolic health on urolithiasis: A nationwide population-based study

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          Abstract

          Purpose

          To investigate the risk of symptomatic urolithiasis requiring surgical treatment according to obesity and metabolic health status using a nationwide dataset of the Korean population.

          Materials and Methods

          Of the 5,300,646 persons who underwent health examinations between the year 2009 and 2016, within one year after the health examination, 35,137 patients who underwent surgical treatment for urolithiasis were enrolled. Participants were classified as “obese” or “non-obese” using a body mass index (BMI) cutoff of 25 kg/m 2. People who developed ≥1 metabolic disease component in the index year were considered “metabolically unhealthy”, while those with none were considered “metabolically healthy”.

          Results

          Out of 34,330 participants excluding 843 missing, 16,509 (48.1%), 4,320 (12.6%), 6,456 (18.8%), and 7,045 (20.5%) subjects were classified into the metabolically healthy non-obese (MHNO), metabolically unhealthy non-obese (MUNO), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO) group, respectively. Mean BMI was 22.1±1.9 kg/m 2, 22.9±1.6 kg/m 2, 26.9±1.8 kg/m 2, and 27.9±2.4 kg/m 2 respectively. After adjusting the age and sex, the subjects in the MUNO group had an HR (95% CI) of 1.192 (1.120–1.268), those in the MHO group, 1.242 (1.183–1.305), and those in the MUO group, 1.341 (1.278–1.407) for either extracorporeal shockwave lithotripsy or surgery, compared to those in the MHNO group.

          Conclusions

          Metabolically healthy, obese individuals have a higher risk of developing symptomatic urolithiasis than non-obese, unhealthy, but have a lower risk than obese, unhealthy. It suggests that metabolic health and obesity have collaborative effects, independently affecting the development of symptomatic urinary stone diseases.

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          Most cited references30

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          Cohort Profile: The National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea.

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            Background and Data Configuration Process of a Nationwide Population-Based Study Using the Korean National Health Insurance System

            Background The National Health Insurance Service (NHIS) recently signed an agreement to provide limited open access to the databases within the Korean Diabetes Association for the benefit of Korean subjects with diabetes. Here, we present the history, structure, contents, and way to use data procurement in the Korean National Health Insurance (NHI) system for the benefit of Korean researchers. Methods The NHIS in Korea is a single-payer program and is mandatory for all residents in Korea. The three main healthcare programs of the NHI, Medical Aid, and long-term care insurance (LTCI) provide 100% coverage for the Korean population. The NHIS in Korea has adopted a fee-for-service system to pay health providers. Researchers can obtain health information from the four databases of the insured that contain data on health insurance claims, health check-ups and LTCI. Results Metabolic disease as chronic disease is increasing with aging society. NHIS data is based on mandatory, serial population data, so, this might show the time course of disease and predict some disease progress, and also be used in primary and secondary prevention of disease after data mining. Conclusion The NHIS database represents the entire Korean population and can be used as a population-based database. The integrated information technology of the NHIS database makes it a world-leading population-based epidemiology and disease research platform.
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              The metabolically healthy but obese individual presents a favorable inflammation profile.

              The purpose of this study was to investigate the inflammatory state in obese women displaying the "metabolically healthy but obese" (MHO) phenotype. We examined the metabolic characteristics of 88 obese, sedentary postmenopausal women. Subjects were classified as MHO or as "at risk" based on the upper and lower quartiles of insulin sensitivity as measured by the hyperinsulinemic-euglycemic clamp technique. Thereafter, we determined 1) body composition, 2) body fat distribution, 3) plasma lipid and lipoprotein levels, 4) glucose homeostasis, 5) resting blood pressure, 6) peak oxygen consumption, and 7) inflammation markers as potential modulators of differences in the coronary risk profile. Twenty-two MHO women displayed high insulin sensitivity (15.35 +/- 2.3 mg/min.kg fat-free mass), and 22 at risk subjects with low insulin sensitivity (7.98 +/- 1.4 mg/min.kg fat-free mass) were identified. Despite comparable total body fatness between groups (47.7 +/- 4.8 vs. 45.5 +/- 4.4%; not significant), MHO individuals had significantly lower levels of visceral fat, fasting insulin, plasma triglycerides, high-sensitivity C-reactive protein (CRP), and alpha-1 antitrypsin levels and higher levels of high-density lipoprotein cholesterol than at risk individuals (P < 0.05). Stepwise regression analysis showed that CRP, fasting triglycerides, and the lean body mass index explained 19.5, 8.5, and 4.0%, respectively, of the variance observed in glucose disposal (total r(2) = 0.320; P < 0.001). Results of the present study indicate that postmenopausal women displaying the MHO phenotype also have a favorable inflammation profile as shown by lower CRP and alpha-1 antitrypsin levels compared with insulin-resistant women. This suggests that a lower inflammation state, as attested by low CRP levels, could play a role in the protective profile of the MHO individual, and this may be associated metabolically to a lower risk for cardiovascular disease.
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                Author and article information

                Journal
                Investig Clin Urol
                Investig Clin Urol
                ICU
                Investigative and Clinical Urology
                The Korean Urological Association
                2466-0493
                2466-054X
                January 2022
                09 December 2021
                : 63
                : 1
                : 63-70
                Affiliations
                [1 ]Department of Urology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.
                [2 ]Department of Medical Statistics, Soongsil University, Seoul, Korea.
                [3 ]Department of Urology, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea.
                Author notes
                Corresponding Author: Jun Hyun Han. Department of Urology, Hallym University Dongtan Sacred Heart Hospital, 7 Keunjaebong-gil, Hwaseong 18450, Korea. TEL: +82-31-8086-2730, FAX: +82-31-8086-2728, junuro@ 123456naver.com
                Author information
                https://orcid.org/0000-0001-6488-1933
                https://orcid.org/0000-0001-6507-2628
                https://orcid.org/0000-0002-9622-0643
                https://orcid.org/0000-0003-0339-7763
                https://orcid.org/0000-0002-8452-1916
                Article
                10.4111/icu.20210332
                8756157
                34983124
                211806fd-3614-4d16-97cc-cde3f0daced6
                © The Korean Urological Association, 2022

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 August 2021
                : 23 September 2021
                : 20 October 2021
                Categories
                Original Article
                Endourology/Urolithiasis

                diabetes mellitus,insulin resistance,metabolic syndrome,obesity,urolithiasis

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