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Yuan C, Zhang C, Geng X, Feng C, Su Y, Wu Y, Wang Y, Chen L, Ding Q, Voortman T, Wang H, Zong G. Associations of an overall healthy lifestyle with the risk of metabolic dysfunction-associated fatty liver disease. BMC Public Health 2024; 24:3264. [PMID: 39587552 PMCID: PMC11587751 DOI: 10.1186/s12889-024-20663-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 11/07/2024] [Indexed: 11/27/2024] Open
Abstract
BACKGROUND Metabolic dysfunction-associated fatty liver disease (MAFLD) affects up to one-third of the global population. Since no approved pharmacotherapy for MAFLD is available, lifestyle modification remains the cornerstone of clinical care. Our study aims to evaluate the association of an overall healthy lifestyle with MAFLD risk. METHODS We conducted an analysis of 327,387 participants from UK biobank. An overall healthy lifestyle score including six evidence-based lifestyles (diet, alcohol consumption, physical activity, sedentary behavior, sleep, and smoking) was assessed by questionnaires. MAFLD and its subtypes were diagnosed by blood biochemistry, ICD codes, and medication information from touchscreen and verbal interview. The prevalence ratios (PRs) and risk ratios (RRs) were estimated by Poisson regression models with robust variance. RESULTS In the cross-sectional analysis, the PR (95% CI) was 0.83 (0.83 to 0.84) for MAFLD, and 0.83 (0.83 to 0.84) for MAFLD-overweight/obesity (MAFLD-O), 0.68 (0.66 to 0.70) for MAFLD-lean/normal weight and metabolic dysfunction (P-value for heterogeneity < 0.001), and 0.71 (0.71 to 0.72) for MAFLD-type 2 diabetes mellitus (MAFLD-T2D); and 0.68 (0.66 to 0.71) for dual (or more) etiology fatty liver disease (MAFLD-dual) and 0.83 (0.83 to 0.84) for single etiology MAFLD (MAFLD-single) (P-value for heterogeneity < 0.001) for one additional point in the overall healthy lifestyle score. During a median follow-up of 4.4 years, the RR (95% CI) was 0.83 (0.81 to 0.85) for MAFLD, and 0.83 (0.81 to 0.85) for MAFLD-O, 0.71 (0.62 to 0.81) for MAFLD-L, and 0.68 (0.64 to 0.72) for MAFLD-T2D (P-value for heterogeneity < 0.001); and 0.83 (0.81 to 0.85) for MAFLD-dual and 0.70 (0.58 to 0.85) for MAFLD-single (P-value for heterogeneity = 0.08) for one additional point in the overall healthy lifestyle score. These findings were validated in a prospective analysis among 15,721 participants with revisit data, and also supported by fatty liver index and proton density fat fraction data. CONCLUSIONS An overall healthy lifestyle that includes six evidence-based factors was strongly associated with lower MAFLD risk, especially the subtypes with multiple etiologies.
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Affiliation(s)
- Caimei Yuan
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, PR China
| | - Chengjing Zhang
- Shanghai Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China
| | - Xin Geng
- Shanghai Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China
- National Center for Liver Cancer, Naval Medical University, Shanghai, 200438, China
- Ministry of Education (MOE) Key Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer, Naval Medical University, Shanghai, 200438, China
| | - Chengwu Feng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, PR China
| | - Yang Su
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, PR China
| | - Yinfan Wu
- Department of clinical nutrition, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200081, China
| | - Ying Wang
- Department of clinical nutrition, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200081, China
| | - Li Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, PR China
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, PR China
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3000 CA, The Netherlands
| | - Hongyang Wang
- Shanghai Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China.
- National Center for Liver Cancer, Naval Medical University, Shanghai, 200438, China.
- Ministry of Education (MOE) Key Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer, Naval Medical University, Shanghai, 200438, China.
- International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute/Hospital, 225 Changhai Road, Shanghai, 200438, PR China.
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, PR China.
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
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Schaefer E, Lang A, Kupriyanova Y, Bódis KB, Weber KS, Buyken AE, Barbaresko J, Kössler T, Kahl S, Zaharia OP, Szendroedi J, Herder C, Schrauwen-Hinderling VB, Wagner R, Kuss O, Roden M, Schlesinger S. Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent-onset type 1 diabetes and type 2 diabetes. Diabetes Obes Metab 2024; 26:4281-4292. [PMID: 39010284 DOI: 10.1111/dom.15772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 06/21/2024] [Accepted: 06/23/2024] [Indexed: 07/17/2024]
Abstract
AIM To investigate the associations of the Dietary Approaches to Stop Hypertension (DASH) score with subcutaneous (SAT) and visceral (VAT) adipose tissue volume and hepatic lipid content (HLC) in people with diabetes and to examine whether changes in the DASH diet were associated with changes in these outcomes. METHODS In total, 335 participants with recent-onset type 1 diabetes (T1D) and type 2 diabetes (T2D) from the German Diabetes Study were included in the cross-sectional analysis, and 111 participants in the analysis of changes during the 5-year follow-up. Associations between the DASH score and VAT, SAT and HLC and their changes were investigated using multivariable linear regression models by diabetes type. The proportion mediated by changes in potential mediators was determined using mediation analysis. RESULTS A higher baseline DASH score was associated with lower HLC, especially in people with T2D (per 5 points: -1.5% [-2.7%; -0.3%]). Over 5 years, a 5-point increase in the DASH score was associated with decreased VAT in people with T2D (-514 [-800; -228] cm3). Similar, but imprecise, associations were observed for VAT changes in people with T1D (-403 [-861; 55] cm3) and for HLC in people with T2D (-1.3% [-2.8%; 0.3%]). Body mass index and waist circumference changes explained 8%-48% of the associations between DASH and VAT changes in both groups. In people with T2D, adipose tissue insulin resistance index (Adipo-IR) changes explained 47% of the association between DASH and HLC changes. CONCLUSIONS A shift to a DASH-like diet was associated with favourable VAT and HLC changes, which were partly explained by changes in anthropometric measures and Adipo-IR.
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Affiliation(s)
- Edyta Schaefer
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
| | - Alexander Lang
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Yuliya Kupriyanova
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Kálmán B Bódis
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Katharina S Weber
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Anette E Buyken
- Department of Sports and Health, Institute of Nutrition, Consumption and Health, Paderborn University, Paderborn, Germany
| | - Janett Barbaresko
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Theresa Kössler
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sabine Kahl
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Oana-Patricia Zaharia
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Julia Szendroedi
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Internal Medicine I and Clinical Chemistry, Heidelberg University Hospital, Heidelberg, Germany
| | - Christian Herder
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Vera B Schrauwen-Hinderling
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Robert Wagner
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Oliver Kuss
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Centre for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Centre for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany
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Su J, Fan X, Li M, Yu H, Geng H, Qin Y, Lu Y, Pei P, Sun D, Yu C, Lv J, Tao R, Zhou J, Ma H, Wu M. Association of lifestyle with reduced stroke risk in 41 314 individuals with diabetes: Two prospective cohort studies in China. Diabetes Obes Metab 2024; 26:2869-2880. [PMID: 38685601 DOI: 10.1111/dom.15606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/03/2024] [Accepted: 04/04/2024] [Indexed: 05/02/2024]
Abstract
AIM To investigate the associations of individual and combined healthy lifestyle factors (HLS) with the risk of stroke in individuals with diabetes in China. METHODS This prospective analysis included 41 314 individuals with diabetes [15 191 from the Comprehensive Research on the Prevention and Control of the Diabetes (CRPCD) project and 26 123 from the China Kadoorie Biobank (CKB) study]. Associations of lifestyle factors, including cigarette smoking, alcohol consumption, physical activity, diet, body shape and sleep duration, with the risk of stroke, intracerebral haemorrhage (ICH) and ischaemic stroke (IS) were assessed using Cox proportional hazard models. RESULTS During median follow-up periods of 8.02 and 9.05 years, 2499 and 4578 cases of stroke, 2147 and 4024 of IS, and 160 and 728 of ICH were documented in individuals with diabetes in the CRPCD and CKB cohorts, respectively. In the CRPCD cohort, patients with ≥5 HLS had a 14% lower risk of stroke (hazard ratio (HR): 0.86, 95% confidence interval (CI): 0.75-0.98) than those with ≤2 HLS. In the CKB cohort, the adjusted HR (95% CI) for patients with ≥5 HLS were 0.74 (0.66-0.83) for stroke, 0.74 (0.66-0.83) for IS, and 0.57 (0.42-0.78) for ICH compared with those with ≤2 HLS. The pooled adjusted HR (95% CI) comparing patients with ≥5 HLS versus ≤2 HLS was 0.79 (0.69-0.92) for stroke, 0.80 (0.68-0.93) for IS, and 0.60 (0.46-0.78) for ICH. CONCLUSIONS Maintaining a healthy lifestyle was associated with a lower risk of stroke, IS and ICH among individuals with diabetes.
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Affiliation(s)
- Jian Su
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xikang Fan
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Mengyao Li
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hao Yu
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Houyue Geng
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yu Qin
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yan Lu
- Department of Non-communicable Chronic Disease Control and Prevention, Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Dianjianyi Sun
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education (Peking University), Beijing, China
| | - Canqing Yu
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education (Peking University), Beijing, China
| | - Jun Lv
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education (Peking University), Beijing, China
| | - Ran Tao
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jinyi Zhou
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ming Wu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
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Klapp R, Nimptsch K, Pischon T, Wilkens LR, Lim U, Guillermo C, Setiawan VW, Shepherd JA, Le Marchand L, Maskarinec G. The association of a healthy lifestyle index and imaging-based body fat distribution with glycemic status and Type 2 diabetes in the Multi Ethnic Cohort: a cross-sectional analysis. Eur J Clin Nutr 2024; 78:236-242. [PMID: 38097807 PMCID: PMC11323202 DOI: 10.1038/s41430-023-01381-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 03/13/2024]
Abstract
INTRODUCTION As several behaviors captured by the Lifestyle Risk Factor Index (LSRI) are protective against Type 2 diabetes (T2D) and may affect body fat distribution, we examined its relation with both outcomes. METHODS In a subset of the Multiethnic Cohort, participants from five ethnic groups (60-77 years) were assigned LSRI scores (one point each for consuming <1 (women)/<2 (men) alcoholic drinks/day, ≥1.5 physical activity hours/week, not smoking, and adhering to ≥3/7 dietary recommendations). All participants completed an extensive Quantitative Food Frequency Questionnaire to allow estimation of adherence to intake recommendations for fruits, vegetables, refined and whole grains, fish, processed and non-processed meat. Glycemic/T2D status was classified according to self-reports and fasting glucose. We estimated prevalence odds ratios (POR) of LSRI with glycemic/T2D status and DXA- and MRI-based body fat distribution using logistic regression. RESULTS Of 1713 participants, 43% had normoglycemia, 30% Pre-T2D, 9% Undiagnosed T2D, and 18% T2D. Overall, 39% scored 0-2, 49% 3, and 12% 4 LSRI points. T2D prevalence was 55% (POR 0.45; 95% confidence intervals 0.27, 0.76) lower for 4 vs. 0-2 LSRI points with weaker associations for abnormal glycemic status. Despite the low adherence to dietary recommendations (22%), this was the only component related to lower T2D prevalence. The inverse LSRI-T2D association was only observed among Latinos and Japanese Americans in ethnic-specific models. Visceral fat measures were higher in T2D patients and attenuated the LSRI-T2D association. CONCLUSION These findings support the role of a healthy lifestyle, especially diet, in T2D prevention with differences across ethnicity.
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Affiliation(s)
- Rebecca Klapp
- University of Hawai'i Cancer Center, Honolulu, HI, USA
| | | | - Tobias Pischon
- Max Delbrück Centrum für Molekulare Medizin, Berlin, Germany
| | | | - Unhee Lim
- University of Hawai'i Cancer Center, Honolulu, HI, USA
| | | | | | | | | | - Gertraud Maskarinec
- University of Hawai'i Cancer Center, Honolulu, HI, USA.
- Max Delbrück Centrum für Molekulare Medizin, Berlin, Germany.
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