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"Metabolically Healthy Obesity"

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"Metabolically Healthy Obesity"

Original Articles
Impact of Visceral Obesity on the Risk of Incident Metabolic Syndrome in Metabolically Healthy Normal Weight and Overweight Groups: A Longitudinal Cohort Study in Korea
Yoon Hye Lee, Jiyong Park, Seran Min, Oklim Kang, Hyuktae Kwon, Seung-Won Oh
Korean J Fam Med 2020;41(4):229-236.   Published online April 29, 2020
DOI: https://doi.org/10.4082/kjfm.18.0122
Background
Although both obesity, measured by body mass index, and visceral obesity are known to be major risk factors of metabolic syndrome and its components, there have been debates on the relative contribution of general obesity and visceral obesity to the development of metabolic syndrome.
Methods
We performed a large longitudinal cohort study of 3,093 subjects (age range, 18–65 years) who were metabolically healthy and had a normal weight who received health screenings over a 3-year follow-up period. Cox proportional hazards models were used to estimate the adjusted hazard ratios (HRs) and 95% confidence intervals (CI) for incident metabolic syndrome and its components per sex-specific 1-standard deviation (SD) increase in visceral adipose tissue (VAT) and body mass index.
Results
Both obesity and visceral obesity increased the risk of incident metabolic syndrome, but when HR was compared per sex-specific 1-SD, visceral obesity appeared to confer more risk than simple obesity. The HR for 1-SD of body mass index was 1.19 (95% CI, 1.07–1.32; P=0.001) in men and 1.29 (95% CI, 1.10–1.52; P=0.002) in women, while the HR for 1-SD of VAT was 1.29 (95% CI, 1.15–1.44; P<0.001) in men and 1.50 (95% CI, 1.28–1.75; P<0.001) in women.
Conclusion
Visceral obesity and obesity were longitudinally associated with an increased risk of incident metabolic syndrome among metabolically healthy adults, and visceral fat accumulation appears to be better predictor of metabolic syndrome.

Citations

Citations to this article as recorded by  
  • Association between visceral fat area and metabolic syndrome in individuals with normal body weight: insights from a Chinese health screening dataset
    Yongbing Sun, Xinbei Lin, Zhi Zou, Yang Zhou, Ao Liu, Xin Li, Yawei Du, Xiaoqi Ji, Zhonglin Li, Xiaoling Wu, Yong Wang, Xue Lv, Tao Li, Jiancheng Zhang, Zhiping Guo, Hao Li, Yongli Li
    Lipids in Health and Disease.2025;[Epub]     CrossRef
  • Different factors modulate visceral and subcutaneous fat accumulation in adults: a single-center study in Brazil
    Camila Lima Chagas, Nadja Fernandes da Silva, Isa Galvão Rodrigues, Gabriela Maria Pereira Floro Arcoverde, Victoria Domingues Ferraz, Dário Celestino Sobral Filho, Alcides da Silva Diniz, Cláudia Porto Sabino Pinho, Poliana Coelho Cabral, Ilma Kruze Gran
    Frontiers in Nutrition.2025;[Epub]     CrossRef
  • Potential Therapeutic Exploitation of G Protein-Coupled Receptor 120 (GPR120/FFAR4) Signaling in Obesity-Related Metabolic Disorders
    Dariusz Szukiewicz
    International Journal of Molecular Sciences.2025; 26(6): 2501.     CrossRef
  • Predictors of visceral obesity among patients with pathology of the gastrointestinal tract
    Yu.M. Stepanov, L.M. Mosiychuk, I.A. Klenina, О.М. Tatarchuk, O.P. Petishko, O.M. Shevtsova
    GASTROENTEROLOGY.2024; 58(1): 6.     CrossRef
  • Determinants of central obesity in children and adolescents and associated complications in South Africa: a systematic review
    Cairo Bruce Ntimana, Kagiso Peace Seakamela, Reneilwe Given Mashaba, Eric Maimela
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Reconsidering Semaglutide Use for Chronic Obesity in Patients of Asian Descent: A Critical Review
    Jenny Lu, Grace Williams, Stacey Fanning
    Cureus.2024;[Epub]     CrossRef
  • Evaluation of ultrasonographic approaches aimed at determining distinct abdominal adipose tissue depots
    Nadja Fernandes da Silva, Cláudia Porto Sabino Pinho, Alcides da Silva Diniz
    Archives of Endocrinology and Metabolism.2023;[Epub]     CrossRef
  • Association of food consumption and physical activity with metabolic syndrome according to central obesity status in Indonesian adults: A cross-sectional study
    Mayang Januarti Permatasari, Ahmad Syauqy, Etika Ratna Noer, Adriyan Pramono, Kusmiyati Tjahjono
    Jurnal Gizi Indonesia (The Indonesian Journal of Nutrition).2023; 12(1): 31.     CrossRef
  • Computed tomographic abdominal fat volume estimation – a handy tool to predict the risk of metabolic syndrome
    Navaneeth G.C, Rudresh Hiremath, Shweta Raviraj Poojary, Divya Vishwanatha Kini, Kavitha B. Chittaragi
    Polish Journal of Radiology.2023; 88: 379.     CrossRef
  • Obesity considerations during the COVID-19 outbreak
    François Dohet, Suva Loap, Alain Menzel, Mohammed Iddir, Frédéric Dadoun, Torsten Bohn, Hanen Samouda
    International Journal for Vitamin and Nutrition Research.2022; 92(1): 67.     CrossRef
  • Current status of health promotion in Korea
    Soo Young Kim
    Journal of the Korean Medical Association.2022; 65(12): 776.     CrossRef
  • Association of Visceral Adipose Tissue and Insulin Resistance with Incident Metabolic Syndrome Independent of Obesity Status: The IRAS Family Study
    Morgana Mongraw‐Chaffin, Kristen G. Hairston, Anthony J. G. Hanley, Janet A. Tooze, Jill M. Norris, Nicolette D. Palmer, Donald W. Bowden, Carlos Lorenzo, Yii‐Der Ida Chen, Lynne E. Wagenknecht
    Obesity.2021; 29(7): 1195.     CrossRef
  • Proteins associated with incident metabolic syndrome in population-based cohorts
    Lars Lind, Johan Sundström, Johan Ärnlöv
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
  • 4,762 View
  • 114 Download
  • 9 Web of Science
  • 13 Crossref
Clinical Characteristics and Metabolic Health Status of Obese Korean Children and Adolescents
Sunyoung Chun, Saerom Lee, Hyo-Jae Son, Hye-Mi Noh, Hye-Young Oh, Han Byul Jang, Hye-Ja Lee, Jae-Heon Kang, Hong-Ji Song, Yu-Jin Paek, Kyung-Hee Park
Korean J Fam Med 2015;36(5):233-238.   Published online September 18, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.5.233
Background

This study aimed to determine the prevalence of metabolically healthy and unhealthy obesity (MHO and MUO, respectively) and examine the demographic, anthropometric, and lifestyle predictors of metabolic health status in Korean children and adolescents.

Methods

This study was based on data collected from the Korean Children-Adolescent Study in 2010. A total of 1,700 children (846 boys and 854 girls) were included in the primary cohort and classified into metabolically healthy and unhealthy groups according to factors related to the metabolic syndrome. Demographic and biochemical features were evaluated in study participants. Logistic regression estimated the odds ratios of having more fat mass among MUO compared with MHO children after adjusting for confounding factors.

Results

Mean body mass index was higher in the MUO group than in the MHO group (24.83 vs. 23.02 kg/m2, respectively). The proportion of obese participants was also higher in the MUO group (59.4%) than in the MHO group (20.7%). MHO children were more likely to have parents with better socioeconomic status and a higher fruit and vegetable intake compared with MUO children. Higher fat mass and percent fat was associated with MUO according to multiple logistic regression analysis.

Conclusion

Fat mass and percent fat are associated with metabolically healthy phenotypes of obesity among children and adolescents.

Citations

Citations to this article as recorded by  
  • Risk factors, cutoff points, and definition of metabolically healthy/unhealthy obesity in children and adolescents: A scoping review of the literature
    Behnaz Abiri, Majid Valizadeh, Shirin Amini, Roya Kelishadi, Farhad Hosseinpanah
    Obesity Reviews.2023;[Epub]     CrossRef
  • Diagnostic accuracy of anthropometric indices for metabolically healthy obesity in child and adolescent population
    José-Miguel Guzmán-García, Manuel Romero-Saldaña, Guillermo Molina-Recio, Francisco-Javier Fonseca-del Pozo, Elena Raya-Cano, Rafael Molina-Luque
    Pediatric Research.2023; 94(5): 1824.     CrossRef
  • Associations of Fruit and Vegetable Intake with Metabolic Health Status in Overweight and Obese Youth
    Shahnaz Amani Tirani, Saeideh Mirzaei, Ali Asadi, Foad Asjodi, Orod Iravani, Masoumeh Akhlaghi, Parvane Saneei
    Annals of Nutrition and Metabolism.2023; 79(4): 361.     CrossRef
  • Obesity and Metabolic Dysregulation in Children Provide Protective Influenza Vaccine Responses
    Mundeep K. Kainth, Joanna S. Fishbein, Teresa Aydillo, Alba Escalera, Rachael Odusanya, Kalliopi Grammatikopoulos, Tiffany Scotto, Christine B. Sethna, Adolfo García-Sastre, Clifford S. Deutschman
    Viruses.2022; 14(1): 124.     CrossRef
  • Metabolically healthy obesity in a paediatric obesity clinic
    Diana Teixeira, Cátia Martins, Guiomar Oliveira, Raquel Soares
    Journal of Pediatric Endocrinology and Metabolism.2022; 35(9): 1147.     CrossRef
  • Association between major dietary patterns and metabolic health status in overweight and obese adolescents
    Saeideh Mirzaei, Parvane Saneei, Ali Asadi, Awat Feizi, Gholamreza Askari, Masoumeh Akhlaghi
    Nutrition.2022; 103-104: 111793.     CrossRef
  • Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents
    Shan Cai, Jiajia Dang, Panliang Zhong, Ning Ma, Yunfei Liu, Di Shi, Zhiyong Zou, Yanhui Dong, Jun Ma, Yi Song
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Dairy intake in relation to metabolic health status in overweight and obese adolescents
    Shahnaz Amani Tirani, Saeideh Mirzaei, Ali Asadi, Masoumeh Akhlaghi, Parvane Saneei
    Scientific Reports.2022;[Epub]     CrossRef
  • Association of Serum 25-Hydroxyvitamin D Level With Metabolic Phenotypes of Obesity in Children and Adolescents: The CASPIAN-V Study
    Haleh Esmaili, Ramin Heshmat, Hanieh-Sadat Ejtahed, Hadith Rastad, Mohammad Esmaeil Motlagh, Hamid Asayesh, Marzieh Jafarnejad, Ehsan Seif, Mostafa Qorbani, Roya Kelishadi
    Frontiers in Endocrinology.2020;[Epub]     CrossRef
  • Abnormal Metabolic Phenotypes Among Urban Chinese Children: Epidemiology and the Impact of DXA‐Measured Body Composition
    Fangfang Chen, Junting Liu, Yinkun Yan, Jie Mi
    Obesity.2019; 27(5): 837.     CrossRef
  • OBESITÀ SANA: REALTÀ O ILLUSIONE?
    Paolo Sbraccia, Valeria Guglielmi
    il Diabete.2019; 31(N. 2, giug): 93.     CrossRef
  • Children With Metabolically Healthy Obesity: A Review
    Rade Vukovic, Tiago Jeronimo Dos Santos, Marina Ybarra, Muge Atar
    Frontiers in Endocrinology.2019;[Epub]     CrossRef
  • Prevalence and predictors of metabolically healthy obesity in adolescents: findings from the national “Jeeluna” study in Saudi-Arabia
    Lara Nasreddine, Hani Tamim, Aurelie Mailhac, Fadia S. AlBuhairan
    BMC Pediatrics.2018;[Epub]     CrossRef
  • Defining metabolically healthy obesity in children: a scoping review
    S. Damanhoury, A. S. Newton, M. Rashid, L. Hartling, J. L. S. Byrne, G. D. C. Ball
    Obesity Reviews.2018; 19(11): 1476.     CrossRef
  • Serum Uric Acid Levels as an Indicator for Metabolically Unhealthy Obesity in Children and Adolescents
    Edrienny Patrícia Alves Accioly Rocha, Mandy Vogel, Juraj Stanik, Diana Pietzner, Anja Willenberg, Antje Körner, Wieland Kiess
    Hormone Research in Paediatrics.2018; 90(1): 19.     CrossRef
  • Early-Life Socioeconomic Disadvantage and Metabolic Health Disparities
    Camelia E. Hostinar, Kharah M. Ross, Edith Chen, Gregory E. Miller
    Psychosomatic Medicine.2017; 79(5): 514.     CrossRef
  • Metabolically healthy obesity across the life course: epidemiology, determinants, and implications
    Catherine M. Phillips
    Annals of the New York Academy of Sciences.2017; 1391(1): 85.     CrossRef
  • Differences between Metabolically Healthy vs Unhealthy Obese Children and Adolescents
    Aditi Khokhar, Vivian Chin, Sheila Perez-Colon, Tanni Farook, Shipra Bansal, Elna Kochummen, Vatcharapan Umpaichitra
    Journal of the National Medical Association.2017; 109(3): 203.     CrossRef
  • Risk factors that affect metabolic health status in obese children
    Selin Elmaogullari, Fatma Demirel, Nihal Hatipoglu
    Journal of Pediatric Endocrinology and Metabolism.2017;[Epub]     CrossRef
  • 4,067 View
  • 30 Download
  • 19 Web of Science
  • 19 Crossref
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