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Luo H, Liu Y, Tian X, Zhao Y, Liu L, Zhao Z, Luo L, Zhang Y, Jiang X, Liu Y, Luo Y, Wang A. Association of obesity with cardiovascular disease in the absence of traditional risk factors. Int J Obes (Lond) 2024; 48:263-270. [PMID: 37938287 DOI: 10.1038/s41366-023-01408-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 10/19/2023] [Accepted: 10/27/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND The association between obesity and cardiovascular disease (CVD) in people without traditional CVD risk factors is unclear. This study aimed to investigate the association of obesity with CVD and its subtypes in people without traditional CVD risk factors. METHODS Based on the Kailuan cohort study, the included participants were divided into different groups according to levels of body mass index (BMI) and waist height ratio (WHtR), respectively. Multivariate Cox proportional hazard models were used to evaluate the associations. RESULTS This study included 31,955 participants [men 63.99%; mean age (48.14 ± 3.33) years]. During a median follow-up period of 12.97 (interquartile range: 12.68-13.17) years, 1298 cases of CVD were observed. Compared with the normal BMI group, the hazard ratios (HRs) for CVD, stroke, and myocardial infarction (MI) in the BMI obese group were 1.31 (95% confidence interval [CI] 1.11-1.55), 1.21 (95%CI 1.01-1.46), 1.62 (95%CI 1.13-2.33), respectively. Compared with the WHtR non-obese group, the HRs for CVD, stroke, and MI in the obese group were 1.25(95%CI 1.11-1.41), 1.18 (95%CI 1.03-1.34), 1.57 (95%CI 1.18-2.09), respectively. There was an interaction between age and WHtR (P for interaction was 0.043). The association between WHtR and CVD was stronger in people under 60 years old, with a HR of 1.44 (95%CI 1.24-1.67). CONCLUSION We found that obesity increased the risk of CVD in people without traditional CVD risk factors. The association of WHtR with CVD was stronger in people under 60 years old.
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Affiliation(s)
- Hui Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yesong Liu
- Department of Neurology, Kailuan General Hospital, Tangshan, China
| | - Xue Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yuhan Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lulu Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zemeng Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lili Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yanmin Zhang
- Digestive Department, Tangshan Central Hospital, Tangshan, China
| | - Xiaozhong Jiang
- Digestive Department, Kailuan General Hospital, Tangshan, China
| | - Yeqiang Liu
- Department of Endocrinology, Tangshan Central Hospital, Tangshan, China.
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China.
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Khoury N, Martínez MÁ, Paz-Graniel I, Martínez-González MÁ, Corella D, Castañer O, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Sanjurjo SC, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Sayon-Orea C, Sorli JV, Pérez-Vega KA, Garcia-Rios A, Bellvert NG, Gómez-Gracia E, Zulet MA, Chaplin A, Casas R, Salcedo-Bellido I, Tojal-Sierra L, Bernal-Lopez MR, Vazquez Z, Asensio EM, Goday A, Peña-Orihuela PJ, Pastor AS, Garcia-Arellano A, Fitó M, Babio N, Salas-Salvadó J. Dietary intake of polychlorinated dibenzo-p-dioxins and furans, adiposity and obesity status. ENVIRONMENTAL RESEARCH 2023; 227:115697. [PMID: 36972775 DOI: 10.1016/j.envres.2023.115697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 03/29/2023]
Abstract
INTRODUCTION The principal source of exposure to Polychlorinated dibenzo-p-dioxins and polychlorinated dibenzo-p-furans (PCDD/Fs) in humans comes from food intake. PCDD/Fs, are a family of potential endocrine disruptors and have been associated with different chronic diseases such as diabetes and hypertension. However, studies assessing the relationship between dietary exposure to PCDD/Fs and adiposity or obesity status in a middle-aged population are limited. OBJECTIVE To assess cross-sectionally and longitudinally the associations between estimated dietary intake (DI) of PCDD/Fs and body mass index (BMI), waist circumference, and the prevalence/incidence of obesity and abdominal obesity in a middle-aged population. METHODS In 5899 participants aged 55-75 years (48% women) living with overweight/obesity from the PREDIMED-plus cohort, PCDD/Fs DI was estimated using a 143-item validated food-frequency questionnaire, and the levels of food PCDD/F expressed as Toxic Equivalents (TEQ). Consequently, cross-sectional and prospective associations between baseline PCDD/Fs DI (in pgTEQ/week) and adiposity or obesity status were assessed at baseline and after 1-year follow-up using multivariable cox, logistic or linear regression models. RESULTS Compared to participants in the first PCDD/F DI tertile, those in the highest tertile presented a higher BMI (β-coefficient [confidence interval]) (0.43kg/m2 [0.22; 0.64]; P-trend <0.001), a higher waist circumference (1.11 cm [0.55; 1.66]; P-trend <0.001), and a higher prevalence of obesity and abdominal obesity (1.05 [1.01; 1.09] and 1.02 [1.00; 1.03]; P-trend = 0.09 and 0.027, respectively). In the prospective analysis, participants in the top PCDD/F DI baseline tertile showed an increase in waist circumference compared with those in the first tertile after 1-year of follow-up (β-coefficient 0.37 cm [0.06; 0.70]; P-trend = 0.015). CONCLUSION Higher DI of PCDD/Fs was positively associated with adiposity parameters and obesity status at baseline and with changes in waist circumference after 1-year of follow-up in subjects living with overweight/obesity. Further large prospective studies using a different population with longer follow-up periods are warranted in the future to strengthen our results.
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Affiliation(s)
- Nadine Khoury
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - María Ángeles Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Indira Paz-Graniel
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital Del Mar de Investigaciones Médicas Municipal D`Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN Research Group, School of Health Sciences, University of Málaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Institut de Recerca en Nutrició I Seguretat Alimentària (INSA), University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de La Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Sergio Cinza Sanjurjo
- CS Milladoiro, Área Sanitaria de Santiago de Compostela, Spain; Instituto de Investigación de Santiago de Compostela (IDIS), Spain; Centro de Investigación Biomédica en Red-Enfermedades Cardiovasculares (CIBERCV) , Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona Spain
| | - José Juan Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Departamento de Ciencias de La Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut D'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut D'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Carmen Sayon-Orea
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Karla-Alejandra Pérez-Vega
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital Del Mar de Investigaciones Médicas Municipal D`Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | | | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN Research Group, School of Health Sciences, University of Málaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - M A Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Institut de Recerca en Nutrició I Seguretat Alimentària (INSA), University of Barcelona, Barcelona, Spain
| | - Inmaculada Salcedo-Bellido
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Maria-Rosa Bernal-Lopez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Internal Medicine Clinical Management Unit, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA-Plataforma BIONAND), Universidad de Málaga, Spain
| | - Zenaida Vazquez
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Eva M Asensio
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital Del Mar de Investigaciones Médicas Municipal D`Investigació Médica (IMIM), Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Antonio Signes Pastor
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Ana Garcia-Arellano
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital Del Mar de Investigaciones Médicas Municipal D`Investigació Médica (IMIM), Barcelona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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Chung GE, Jeong SM, Cho EJ, Yoo JJ, Cho Y, Lee KN, Shin DW, Kim YJ, Yoon JH, Han K, Yu SJ. Association of fatty liver index with all-cause and disease-specific mortality: A nationwide cohort study. Metabolism 2022; 133:155222. [PMID: 35636583 DOI: 10.1016/j.metabol.2022.155222] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND Population-based data regarding the prognostic implications of hepatic steatosis have been inconsistent. We examined the association between the fatty liver index (FLI) with all-cause and disease-specific mortality in the general population. METHODS We included subjects who underwent a health examination in 2009 using the Korean nationwide health screening database. Death and cause of death data were provided by Statistics Korea. The causes of death were classified using 10th Revision of the International Classification of Diseases codes. RESULTS Among the included 10,585,844 participants, there were 418,296 deaths during a median follow-up period of 8.3 years. When adjusting for possible confounding factors, the risk of all-cause mortality linearly increased with a higher FLI score (hazard ratio [HR], 95% confidence interval [CI]: FLI 30-59, 1.19, 1.18-1.20; FLI ≥ 60, 1.67, 1.65-1.69, P for trend <0.001). The risk of disease-specific mortality including cardiovascular disease (CVD), cancer, respiratory disease and liver disease, linearly increased as the FLI score became higher (HR, 95% CI: FLI 30-59, 1.18, 1.16-1.20, FLI ≥ 60: 1.61, 1.56-1.65 for CVD; FLI 30-59, 1.13, 1.11-1.14, FLI ≥ 60, 1.41, 1.38-1.44 for cancer; FLI 30-59, 1.26, 1.22-1.29, FLI ≥ 60, 1.96, 1.88-2.05 for respiratory disease, FLI 30-59, 2.29, 2.21-2.38, FLI ≥ 60, 5.57, 5.31-5.85 for liver disease). The risk of all-cause mortality increased as the FLI score became higher across all the body mass index groups, and the greatest risk was observed in those who were underweight (HR, 95% CI = 2.43, 2.09-2.82 in FLI ≥ 60). CONCLUSION FLI may serve as a prognostic indicator of death and a high FLI is associated with a poor prognosis particularly in the underweight group.
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Affiliation(s)
- Goh Eun Chung
- Department of Internal Medicine and Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | - Su-Min Jeong
- Department of Family Medicine/Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Eun Ju Cho
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Jeong-Ju Yoo
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, South Korea
| | - Yuri Cho
- Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, South Korea
| | - Kyu Na Lee
- Department of Biostatistics, College of Medicine, Soongsil University, Seoul, South Korea
| | - Dong Wook Shin
- Department of Family Medicine/Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Department of Clinical Research Design and Evaluation, Department of Digital Health, Samsung Advanced Institute for Health Science, South Korea
| | - Yoon Jun Kim
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Jung-Hwan Yoon
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Kyungdo Han
- Department of Biostatistics, College of Medicine, Soongsil University, Seoul, South Korea.
| | - Su Jong Yu
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, South Korea.
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