Dietary patterns and risk of non-alcoholic fatty liver disease in adults: A prospective cohort study.


Journal

Clinical nutrition (Edinburgh, Scotland)
ISSN: 1532-1983
Titre abrégé: Clin Nutr
Pays: England
ID NLM: 8309603

Informations de publication

Date de publication:
10 2021
Historique:
received: 18 09 2020
revised: 18 02 2021
accepted: 25 08 2021
pubmed: 25 9 2021
medline: 23 11 2021
entrez: 24 9 2021
Statut: ppublish

Résumé

Prospective cohort studies linking dietary patterns and non-alcoholic fatty liver disease (NAFLD) are limited, especially in Asian populations. This study aimed to prospectively investigate the association between dietary patterns and risk of NAFLD in a general Chinese adult population. This study included a total of 17,360 participants free from NAFLD at baseline. Dietary patterns at baseline were identified with factor analysis based on responses to a validated 100-item food frequency questionnaire. NAFLD was diagnosed by abdominal ultrasound after excluding other causes related to chronic liver disease. Cox proportional regression models were used to assess the association between dietary patterns and risk of NAFLD. During a median follow-up of 4.2 years, 4034 NAFLD cases were documented. Three main dietary patterns were extracted: sugar rich dietary pattern, vegetable rich dietary pattern, and animal food dietary pattern. After adjusting for age, sex, body mass index, smoking, alcohol, education, occupation, income, physical activity, total energy intake, personal and family history of disease, depressive symptoms, dietary supplement use, inflammation markers, and each other dietary pattern score, comparing the highest with the lowest quartiles of dietary pattern scores, the multivariable hazard ratios (95% confidence interval) of NAFLD were 1.11 (1.01, 1.23) for sugar rich dietary pattern, 0.96 (0.86, 1.07) for vegetable rich dietary pattern, and 1.22 (1.10, 1.36) for animal food dietary pattern. Further adjustment for waist circumference instead of body mass index provided similar results. Dietary patterns rich in animal foods or sugar were associated with a higher risk of NAFLD among Chinese adults, whereas a vegetable rich dietary pattern was not associated.

Sections du résumé

BACKGROUND AND AIMS
Prospective cohort studies linking dietary patterns and non-alcoholic fatty liver disease (NAFLD) are limited, especially in Asian populations. This study aimed to prospectively investigate the association between dietary patterns and risk of NAFLD in a general Chinese adult population.
METHODS
This study included a total of 17,360 participants free from NAFLD at baseline. Dietary patterns at baseline were identified with factor analysis based on responses to a validated 100-item food frequency questionnaire. NAFLD was diagnosed by abdominal ultrasound after excluding other causes related to chronic liver disease. Cox proportional regression models were used to assess the association between dietary patterns and risk of NAFLD.
RESULTS
During a median follow-up of 4.2 years, 4034 NAFLD cases were documented. Three main dietary patterns were extracted: sugar rich dietary pattern, vegetable rich dietary pattern, and animal food dietary pattern. After adjusting for age, sex, body mass index, smoking, alcohol, education, occupation, income, physical activity, total energy intake, personal and family history of disease, depressive symptoms, dietary supplement use, inflammation markers, and each other dietary pattern score, comparing the highest with the lowest quartiles of dietary pattern scores, the multivariable hazard ratios (95% confidence interval) of NAFLD were 1.11 (1.01, 1.23) for sugar rich dietary pattern, 0.96 (0.86, 1.07) for vegetable rich dietary pattern, and 1.22 (1.10, 1.36) for animal food dietary pattern. Further adjustment for waist circumference instead of body mass index provided similar results.
CONCLUSION
Dietary patterns rich in animal foods or sugar were associated with a higher risk of NAFLD among Chinese adults, whereas a vegetable rich dietary pattern was not associated.

Identifiants

pubmed: 34560608
pii: S0261-5614(21)00408-8
doi: 10.1016/j.clnu.2021.08.021
pii:
doi:

Substances chimiques

Animal Proteins, Dietary 0
Dietary Sugars 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5373-5382

Informations de copyright

Copyright © 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest None.

Auteurs

Shunming Zhang (S)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.

Yeqing Gu (Y)

Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.

Shanshan Bian (S)

The Second Hospital of Tianjin Medical University, Tianjin, China.

Magdalena J Górska (MJ)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.

Qing Zhang (Q)

Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.

Li Liu (L)

Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.

Ge Meng (G)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China.

Zhanxin Yao (Z)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Institute of Environmental & Operational Medicine, Tianjin, China.

Hongmei Wu (H)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.

Yawen Wang (Y)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.

Tingjing Zhang (T)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.

Xuena Wang (X)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.

Shaomei Sun (S)

Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.

Xing Wang (X)

Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.

Ming Zhou (M)

Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.

Qiyu Jia (Q)

Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.

Kun Song (K)

Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.

Lu Qi (L)

Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: lqi1@tulane.edu.

Kaijun Niu (K)

Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China. Electronic address: nkj0809@gmail.com.

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