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      Obesity Fact Sheet in Korea, 2020: Prevalence of Obesity by Obesity Class from 2009 to 2018

      research-article
      Author(s): 1 , 1 , 2 , 3 , 4 , 4 , * , On Behalf of the Taskforce Team of the Obesity Fact Sheet of the Korean Society for the Study of Obesity
      Publication date (Electronic):
      Journal: Journal of Obesity & Metabolic Syndrome
      Publisher: Korean Society for the Study of Obesity
      Keywords: Obesity, Obesity class, Prevalence, Fact sheet, National Health Insurance System

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          Abstract

          Background

          We examined the prevalence of different obesity classes in South Korea based on the 2020 Obesity Fact Sheet.

          Methods

          Individuals ≥20 years who underwent a health examination provided by the Korean National Health Insurance System between 2009 and 2018 were included and the prevalence of class I, II, and III obesity was calculated for the total sample and age, sex, and region subgroups.

          Results

          From 2009 to 2018, the prevalence of all obesity classes increased across all sex and age groups and all regions. In the study population as a whole, the prevalence of class I, II, and III obesity was 29.1%, 3.2%, and 0.3% in 2009 and 32.5%, 5.2%, and 0.81% in 2018, respectively. Among young-aged individuals, the prevalence of each obesity class was 23.7%, 3.6%, and 0.44% in 2009 and 28.3%, 6.9%, and 1.61% in 2018, respectively. The prevalence among middle-aged individuals was 31.6%, 3.1%, and 0.24% in 2009 and 33.6%, 4.8%, and 0.59% in 2018; and among elderly individuals was 31.9%, 3.1%, and 0.21% in 2009 and 35.5%, 3.9%, and 0.32% in 2018. The increase in the prevalence of all obesity classes among young adults was dramatic. In particular, the class III obesity prevalence increased up to 3.8- and 3.5-fold between 2009 and 2018 in young men and women.

          Conclusion

          Based on the 2020 Obesity Fact Sheet, there was a dramatic increase in the prevalence of class II and III obesity from 2009 to 2018 among young adults, as well as the population as a whole. Optimal strategies for the prevention and treatment of obesity are needed considering the recent obesity epidemic in South Korea.

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          Most cited references22

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          Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013.

          Marie Ng, Tom Fleming, Margaret W. Robinson … (2015)
          In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. Bill & Melinda Gates Foundation. Copyright © 2014 Elsevier Ltd. All rights reserved.
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            Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.

            Katherine Flegal, Brian Kit, Heather Orpana … (2013)
            Estimates of the relative mortality risks associated with normal weight, overweight, and obesity may help to inform decision making in the clinical setting. To perform a systematic review of reported hazard ratios (HRs) of all-cause mortality for overweight and obesity relative to normal weight in the general population. PubMed and EMBASE electronic databases were searched through September 30, 2012, without language restrictions. Articles that reported HRs for all-cause mortality using standard body mass index (BMI) categories from prospective studies of general populations of adults were selected by consensus among multiple reviewers. Studies were excluded that used nonstandard categories or that were limited to adolescents or to those with specific medical conditions or to those undergoing specific procedures. PubMed searches yielded 7034 articles, of which 141 (2.0%) were eligible. An EMBASE search yielded 2 additional articles. After eliminating overlap, 97 studies were retained for analysis, providing a combined sample size of more than 2.88 million individuals and more than 270,000 deaths. Data were extracted by 1 reviewer and then reviewed by 3 independent reviewers. We selected the most complex model available for the full sample and used a variety of sensitivity analyses to address issues of possible overadjustment (adjusted for factors in causal pathway) or underadjustment (not adjusted for at least age, sex, and smoking). Random-effects summary all-cause mortality HRs for overweight (BMI of 25-<30), obesity (BMI of ≥30), grade 1 obesity (BMI of 30-<35), and grades 2 and 3 obesity (BMI of ≥35) were calculated relative to normal weight (BMI of 18.5-<25). The summary HRs were 0.94 (95% CI, 0.91-0.96) for overweight, 1.18 (95% CI, 1.12-1.25) for obesity (all grades combined), 0.95 (95% CI, 0.88-1.01) for grade 1 obesity, and 1.29 (95% CI, 1.18-1.41) for grades 2 and 3 obesity. These findings persisted when limited to studies with measured weight and height that were considered to be adequately adjusted. The HRs tended to be higher when weight and height were self-reported rather than measured. Relative to normal weight, both obesity (all grades) and grades 2 and 3 obesity were associated with significantly higher all-cause mortality. Grade 1 obesity overall was not associated with higher mortality, and overweight was associated with significantly lower all-cause mortality. The use of predefined standard BMI groupings can facilitate between-study comparisons.
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              Obesity

              David Haslam, W. Philip T. James (2005)
              Excess bodyweight is the sixth most important risk factor contributing to the overall burden of disease worldwide. 1.1 billion adults and 10% of children are now classified as overweight or obese. Average life expectancy is already diminished; the main adverse consequences are cardiovascular disease, type 2 diabetes, and several cancers. The complex pathological processes reflect environmental and genetic interactions, and individuals from disadvantaged communities seem to have greater risks than more affluent individuals partly because of fetal and postnatal imprinting. Obesity, with its array of comorbidities, necessitates careful clinical assessment to identify underlying factors and to allow coherent management. The epidemic reflects progressive secular and age-related decreases in physical activity, together with substantial dietary changes with passive over-consumption of energy despite the neurobiological processes controlling food intake. Effective long-term weight loss depends on permanent changes in dietary quality, energy intake, and activity. Neither the medical management nor the societal preventive challenges are currently being met.
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                Author and article information

                Journal
                Journal ID (nlm-ta): J Obes Metab Syndr
                Journal ID (iso-abbrev): J Obes Metab Syndr
                Title: Journal of Obesity & Metabolic Syndrome
                Publisher: Korean Society for the Study of Obesity
                ISSN (Print): 2508-6235
                ISSN (Electronic): 2508-7576
                Publication date (Print): 30 June 2021
                Publication date (Electronic): 23 June 2021
                Publication date PMC-release: 23 June 2021
                Volume: 30
                Issue: 2
                Pages: 141-148
                Affiliations
                [1 ]Department of Family Medicine, Korea University College of Medicine, Seoul, Korea
                [2 ]Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
                [3 ]Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Korea
                [4 ]Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
                Author notes
                [* ] Corresponding author Won-Young Lee, https://orcid.org/0000-0002-1082-7592, Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Korea, Tel: +82-2-2001-2579, Fax: +82-2-2001-1588, E-mail: drlwy@ 123456hanmail.net
                Author information
                https://orcid.org/0000-0002-1082-7592
                Article
                Publisher ID: jomes-30-2-141
                DOI: 10.7570/jomes21056
                PMC ID: 8277583
                PubMed ID: 34158420
                SO-VID: 6357fd5f-0d67-45a4-bc11-c5d0efc89f69
                Copyright © Copyright © 2021 Korean Society for the Study of Obesity
                License:

                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
                Date received : 14 May 2021
                Date revision received : 12 June 2021
                Date accepted : 13 June 2021
                Categories
                Subject: Original Article

                Keywords: obesity,obesity class,prevalence,fact sheet,national health insurance system
                Data availability:
                Keywords: obesity, obesity class, prevalence, fact sheet, national health insurance system

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