The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Ultra-processed food consumption and the risk of non-alcoholic fatty liver disease in the Tianjin Chronic Low-grade Systemic Inflammation and Health Cohort Study
Abstract
BACKGROUND: Growing evidence supports a link between ultra-processed food consumption and human health outcomes. However, the association between ultra-processed food consumption and non-alcoholic fatty liver disease (NAFLD) is not known. We aimed to explore the association between ultra-processed food consumption and risk of NAFLD. METHODS: The prospective study included 16 168 participants aged 18-90 years from the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) Cohort Study. Information on ultra-processed food consumption was collected at baseline using a validated food frequency questionnaire. NAFLD was defined as the presence of sonographic fatty liver in the absence of significant alcohol intake (≥210 g/week for men and ≥140 g/week for women, respectively) and other liver diseases. Multivariable Cox proportional hazards models were used to examine the association between ultra-processed food consumption and risk of NAFLD. RESULTS: During 56 935 person-years of follow-up, we documented 3752 incident NAFLD cases. After adjusting for age, sex, body mass index, smoking, alcohol drinking, education, occupation, income, physical activity, total energy intake, personal and family history of disease and overall diet quality, the multivariable hazard ratios (95% confidence interval) of NAFLD across increasing quartiles of ultra-processed food consumption were 1.00 (reference), 0.99 (0.90, 1.08), 1.13 (1.03, 1.25) and 1.18 (1.07, 1.30), respectively (P for trend <0.0001). The hazard ratio (95% confidence interval) per one standard deviation increase in ultra-processed food consumption, equivalent to a 62.7 g/1000 kcal per day, was 1.06 (1.03, 1.09), P = 0.0001. CONCLUSIONS: Our study indicates that higher ultra-processed food consumption is associated with a higher risk of NAFLD. This finding suggests that ultra-processed food, which is widely consumed worldwide, might be a modifiable dietary target to reduce the risk of NAFLD.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Observational prospective studies show an inverse association of MASLD development with the Mediterranean diet or similar healthy dietary patterns, 102,103 and a direct association with unhealthy patterns.”
From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [104]
In the citing paper
“Notably, the Mediterranean diet advocates the reduction of sugars and re fi ned carbohydrates, saturated fat, ultra-processed foods, and red and processed meat, which are all related to MASLD risk in observational studies. 104,284,299 -301”
From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [104]
Citations
Cites
International physical activity questionnaire: 12-country reliability and validity
CRAIG, C. L., MARSHALL, A. L., SJ??STR??M, M., BAUMAN, A. E., BOOTH, M. L., AINSWORTH, B. E., PRATT, M., EKELUND, U., YNGVE, A., SALLIS, J. F., et al. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000078924.61453.fb · Cited by 21,619
Chalasani, N., Younossi, Z., Lavine, J. E., Charlton, M., Cusi, K., Rinella, M., Harrison, S. A., Brunt, E. M., & Sanyal, A. J. (2018) · Hepatology · doi:10.1002/hep.29367 · Cited by 7,239
Sensitivity analysis in observational research: Introducing the E-value
VanderWeele, T. J., & Ding, P. (2017) · Annals of Internal Medicine · doi:10.7326/m16-2607 · Cited by 6,350
Adjustment for total energy intake in epidemiologic studies
Willett, W. C., Howe, G., & Kushi, L. H. (1997) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/65.4.1220s · Cited by 3,787
Ultra-processed foods: What they are and how to identify them
Monteiro, C. A., Cannon, G., Levy, R. B., Moubarac, J.-C., Louzada, M. L., Rauber, F., Khandpur, N., Cediel, G., Neri, D., Martinez-Steele, E., et al. (2019) · Public Health Nutrition · doi:10.1017/s1368980018003762 · Cited by 2,964
Non-alcoholic fatty liver disease - a global public health perspective
Younossi, Z. M. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2018.10.033 · Cited by 2,149
Dose‐response analyses using restricted cubic spline functions in public health research
Desquilbet, L., & Mariotti, F. (2010) · Statistics in Medicine · doi:10.1002/sim.3841 · Cited by 2,016
Ultra‐processed products are becoming dominant in the global food system
Monteiro, C. A., Moubarac, J. ‐., Cannon, G., Ng, S. W., & Popkin, B. (2013) · Obesity Reviews · doi:10.1111/obr.12107 · Cited by 1,827
Baker, P., Machado, P., Santos, T., Sievert, K., Backholer, K., Hadjikakou, M., Russell, C., Huse, O., Bell, C., Scrinis, G., et al. (2020) · Obesity Reviews · doi:10.1111/obr.13126 · Cited by 1,194
Li, J., Zou, B., Yeo, Y. H., Feng, Y., Xie, X., Lee, D. H., Fujii, H., Wu, Y., Kam, L. Y., Ji, F., et al. (2019) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(19)30039-1 · Cited by 1,036
Research works printed but not linked: 2
- 2015, Ultra-Processed Food and Drink Products in Latin America: Trends, Impact on Obesity, Policy Implications
- Yang, 2009, China Food Composition
Cited by
Sorted by citations
Tacke, F., Horn, P., Wai-Sun Wong, V., Ratziu, V., Bugianesi, E., Francque, S., Zelber-Sagi, S., Valenti, L., Roden, M., Schick, F., et al. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2024.04.031 · Cited by 2,210
(2024) · Obesity Facts · doi:10.1159/000539371 · Cited by 545
Ultra-processed foods and human health: the main thesis and the evidence
Monteiro, C. A., Louzada, M. L., Steele-Martinez, E., Cannon, G., Andrade, G. C., Baker, P., Bes-Rastrollo, M., Bonaccio, M., Gearhardt, A. N., Khandpur, N., et al. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01565-x · Cited by 339
Ultra-processed foods and human health: from epidemiological evidence to mechanistic insights
Srour, B., Kordahi, M. C., Bonazzi, E., Deschasaux-Tanguy, M., Touvier, M., & Chassaing, B. (2022) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(22)00169-8 · Cited by 303
Lifestyle interventions in nonalcoholic fatty liver disease
Younossi, Z. M., Zelber-Sagi, S., Henry, L., & Gerber, L. H. (2023) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-023-00800-4 · Cited by 281
Dicken, S. J., & Batterham, R. L. (2021) · Nutrients · doi:10.3390/nu14010023 · Cited by 256
Ultra-processed foods and health: a comprehensive review
Zhang, Y., & Giovannucci, E. L. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2084359 · Cited by 134
Petermann-Rocha, F. E., Wirth, M. D., Boonpor, J., Parra-Soto, S. L., Zhou, Z., Mathers, J. C., Livingstone, K. M., Forrest, E. H., Pell, J. P., Ho, F. K. W., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-02793-y · Cited by 106
Fu, Y., He, Y., Xiang, K., Zhao, C., He, Z., Qiu, M., Hu, X., & Zhang, N. (2022) · Microorganisms · doi:10.3390/microorganisms10081495 · Cited by 98
Henney, A. E., Gillespie, C. S., Alam, U., Hydes, T. J., & Cuthbertson, D. J. (2023) · Nutrients · doi:10.3390/nu15102266 · Cited by 74
Food inequity and insecurity and MASLD: burden, challenges, and interventions
Zelber‐Sagi, S., Carrieri, P., Pericàs, J. M., Wajcman, D. I., Younossi, Z. M., & Lazarus, J. V. (2024) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-024-00959-4 · Cited by 63
Grinshpan, L. S., Eilat-Adar, S., Wajcman, D. I., Kariv, R., Gillon‐Keren, M., & Zelber‐Sagi, S. (2023) · JHEP Reports · doi:10.1016/j.jhepr.2023.100964 · Cited by 75
How and why ultra-processed foods harm human health
Levy, R. B., Barata, M. F., Leite, M. A., & Andrade, G. C. (2023) · Proceedings of The Nutrition Society · doi:10.1017/s0029665123003567 · Cited by 61
Zheng, J., Zhao, L., Dong, J., Chen, H., Li, D., Zhang, X., Hassan, M. M., Steck, S. E., Li, X., Xiang, Y., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.08.018 · Cited by 48
Konieczna, J., Fiol, M., Colom, A., Martínez‐González, M. Á., Salas‐Salvadó, J., Corella, D., Soria-Florido, M. T., Martínez, J. A., Alonso‐Gómez, Á. M., Wärnberǵ, J., et al. (2022) · Nutrients · doi:10.3390/nu14194142 · Cited by 47
Zhao, L., Clay‐Gilmour, A., Zhang, J., Zhang, X., & Steck, S. E. (2023) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.10.014 · Cited by 45
MASLD: Prevalence, Mechanisms, and Sex-Based Therapies in Postmenopausal Women
Milani, I., Chinucci, M., Leonetti, F., & Capoccia, D. (2025) · Biomedicines · doi:10.3390/biomedicines13040855 · Cited by 38
“…fish, and whole grains, has been associated with a reduced risk of MASLD [2,244,245], while a Western diet high in red meat, sugar, and saturated fat increases the risk of MASLD [2,244,246], also affecting the microbiome, intestinal barrier, bacterial translocation, and neuroinflammation [134,158].”
Zhang, S., Yan, Y., Zeng, X., Gu, Y., Wu, H., Zhang, Q., Liu, L., Huo, Z., Luo, X., Zhang, R., et al. (2024) · Hepatology · doi:10.1097/hep.0000000000001039 · Cited by 38
Self-citationZhang, S., Gu, Y., Rayamajhi, S., Thapa, A., Meng, G., Zhang, Q., Liu, L., Wu, H., Zhang, T., Wang, X., et al. (2021) · European Journal of Nutrition · doi:10.1007/s00394-021-02737-3 · Cited by 36
Self-citationGu, Y., Li, H., Ma, H., Zhang, S., Meng, G., Zhang, Q., Liu, L., Wu, H., Zhang, T., Wang, X., et al. (2022) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2022.11.005 · Cited by 35
Self-citationKey takeaways from the updated multidisciplinary European MASLD guidelines
Horn, P., & Tacke, F. (2025) · eGastroenterology · doi:10.1136/egastro-2025-100196 · Cited by 40
Shu, L., Zhang, X., Zhou, J., Zhu, Q., & Si, C. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1211797 · Cited by 34
Moreira, R. O., Valério, C. M., Villela‐Nogueira, C. A., Cercato, C., Gerchman, F., Lottenberg, A. M., Godoy‐Matos, A. F., Oliveira, R. D. A., Brandão‐Mello, C. E., Álvares‐da‐Silva, M. R., et al. (2023) · Archives of Endocrinology and Metabolism · doi:10.20945/2359-4292-2023-0123 · Cited by 45
Metabolic diseases in the East Asian populations
Sun, Z., & Zheng, Y. (2025) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-025-01058-8 · Cited by 40
Valenzuela, R., Farías, C., Muñoz, Y., Zúñiga‐Hernández, J., & Videla, L. A. (2025) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2025.112676 · Cited by 36
Zhao, Y., Chen, W., Li, J., Yi, J., Song, X., Ni, Y., Zhu, S. R., Zhang, Z., Xia, L., Zhang, J. D., et al. (2023) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2023.09.005 · Cited by 33
Self-citationRomero‐Gómez, M., Zelber‐Sagi, S., Martı́n, F., Bugianesi, E., & Soria, B. (2023) · BMJ · doi:10.1136/bmj-2023-075179 · Cited by 29
Huang, J., Wang, M.-F., Wu, Y., Kumar, R., & Lin, S. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.1012887 · Cited by 27
Fu, J., & Shin, S. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-065198 · Cited by 24
Zhang, Y., Qiao, W., Zhuang, J., Feng, H., Zhang, Z., & Zhang, Y. (2024) · The journal of nutrition health & aging · doi:10.1016/j.jnha.2024.100352 · Cited by 31
Lee, G.-Y., Lim, J. H., Joung, H., & Yoon, D. (2024) · Nutrients · doi:10.3390/nu16203524 · Cited by 36
Heller, B., Reiter, F. P., Leicht, H. B., Fießler, C., Bergheim, I., Heuschmann, P. U., Geier, A., & Rau, M. (2023) · Nutrients · doi:10.3390/nu15183942 · Cited by 23
Intake of Ultra-Processed Food and Ectopic-, Visceral- and Other Fat Depots: A Cross-Sectional Study
Fridén, M., Kullberg, J., Ahlström, H. K., Lind, L., & Rosqvist, F. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.774718 · Cited by 25
Zhang, S., Yan, Y., Meng, G., Zhang, Q., Liu, L., Wu, H., Gu, Y., Wang, X., Zhang, J., Sun, S., et al. (2022) · Journal of Internal Medicine · doi:10.1111/joim.13586 · Cited by 19
Self-citationZhao, L., Zhang, X., Steele, E. M., Lo, C., Zhang, F. F., & Zhang, X. (2023) · Hepatology Communications · doi:10.1097/hc9.0000000000000240 · Cited by 25
Dean, E., Jia, X., JONES, A. Y. M., Vongsirinavarat, M., Lomi, C., Kumar, P. L., Ngeh, E. N., & Storz, M. A. (2024) · Nutrition Journal · doi:10.1186/s12937-024-01018-z · Cited by 23
Association between Mediterranean Diet and Fatty Liver in Women with Overweight and Obesity
Leone, A., Bertoli, S., Bedogni, G., Vignati, L., Pellizzari, M., & Battezzati, A. (2022) · Nutrients · doi:10.3390/nu14183771 · Cited by 19
Intake of ultra-processed foods and asthenozoospermia odds: A hospital-based case-control study
Lv, J.-L., Wu, Q., Wang, X., Du, Q., Liu, F.-H., Guo, R.-H., Leng, X., Pan, B., & Zhao, Y. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.941745 · Cited by 21
Self-citationShinozaki, N., Murakami, K., Yuan, X., Tajima, R., Matsumoto, M., Asakura, K., Masayasu, S., & Sasaki, S. (2023) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-023-01538-7 · Cited by 20
Li, Y., Lai, Y., Geng, T., Zhang, Y., Xia, P., Chen, J.-X., Yang, K., Xiao-tao, Z., Liao, Y.-F., Franco, O. H., et al. (2024) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2024.07.022 · Cited by 16
Xia, L. L. C. H., Girerd, N., Lamiral, Z., Duarte, K., Mercklé, L., Leroy, C., Nazare, J., Berghe, L. V. D., Seconda, L., Hoge, A., et al. (2025) · European Journal of Nutrition · doi:10.1007/s00394-025-03607-y · Cited by 16
Associations Between MASLD, Ultra-Processed Food and a Mediterranean Dietary Pattern in Older Adults
Commins, I., Clayton‐Chubb, D., Fitzpatrick, J. A., George, E. S., Schneider, H. G., Phyo, A. Z. Z., Majeed, A., Janko, N., Vaughan, N. V., Woods, R. L., et al. (2025) · Nutrients · doi:10.3390/nu17091415 · Cited by 14
Geladari, E. V., Kounatidis, D. C., Christodoulatos, G. S., Psallida, S., Pavlou, A., Geladari, C. V., Sevastianos, V., Dalamaga, Μ., & Vallianou, N. G. (2025) · Nutrients · doi:10.3390/nu17132098 · Cited by 15
Zhao, Y., Wang, Q., Chen, W., Li, J., Yi, J., Song, X., Ni, Y., Zhu, S., Zhang, Z., Nie, S., et al. (2024) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2024.06.010 · Cited by 11
Self-citationFu, J., Tan, L., & Shin, S. (2025) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.70099 · Cited by 11
Zhang, S., Li, H., Meng, G., Zhang, Q., Liu, L., Wu, H., Gu, Y., Zhang, T., Wang, X., Zhang, J., et al. (2022) · British Journal Of Nutrition · doi:10.1017/s000711452200277x · Cited by 14
Self-citationZhang, J., Shu, L., & Chen, X. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1631975 · Cited by 14
Zhang, J., Zhu, F., Cao, Z., Rayamajhi, S., Zhang, Q., Liu, L., Meng, G., Wu, H., Gu, Y., Zhang, S., et al. (2022) · Food & Function · doi:10.1039/d1fo03279h · Cited by 9
Self-citationWu, H., Wang, D., Wang, X., Gu, Y., Meng, G., Qing, Z., Liu, L., Wang, X., Sun, S., Jia, Q., et al. (2024) · Maturitas · doi:10.1016/j.maturitas.2024.108157 · Cited by 9
Self-citationYounossi, Z. M., Wong, V. W., Tsochatzis, E. A., Castéra, L., Betel, M., Henry, L. L., & Zelber‐Sagi, S. (2025) · Liver International · doi:10.1111/liv.70311 · Cited by 12
de Souza, M. H. G., Lima, L. C. V., Amaral, M. J. M., & Moura, F. S. (2025) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2025.11.134 · Cited by 9
Li, H., Zheng, X., Sabina, R., Amrish, T., Meng, G., Zhang, Q., Liu, L., Wu, H., Gu, Y., Zhang, S., et al. (2022) · British Journal Of Nutrition · doi:10.1017/s0007114522000629 · Cited by 9
Self-citationOuyang, W., Xiao, B.-J., Chen, H., Fu, L., Tang, F., Marrone, G., Liu, X., Wu, Y., & Carrero, J. J. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1547181 · Cited by 11
Ultra‐Processed Food Intake and Risk of Adverse Liver Outcomes: A Meta‐Analysis
Guo, C., Yang, W., Zhou, J., Wang, J., & Ji, D. (2025) · Journal of Food Science · doi:10.1111/1750-3841.70303 · Cited by 11
Kermani, M. A. H., Awlqadr, F. H., Talebi, S., Mehrabani, S., CAMERA, D. M., Bagheri, R., Poorbaferani, F., Ghoreishy, S. M., Amirian, P., Zarpoosh, M., et al. (2025) · Journal of Health Population and Nutrition · doi:10.1186/s41043-025-00986-0 · Cited by 8
Yang, Y., Zheng, Z., Chen, Y., Wang, X., Wang, H., Si, Z., Meng, R., & Wu, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-29491-2 · Cited by 8
Self-citationWu, H., Quan, J., Wang, X., Gu, Y., Zhang, S., Meng, G., Zhang, Q., Liu, L., Wang, X., Sun, S., et al. (2023) · Nutrients · doi:10.3390/nu15020391 · Cited by 9
Self-citationDiet and non-alcoholic fatty liver disease, a short narrative review
Kwanten, W. J. (2023) · Acta gastro-enterologica belgica · doi:10.51821/86.2.11547 · Cited by 9
Chen, Y., Gui, H., Zhao, T., Liu, C., Zhang, Y., Wang, M., & Yang, R. (2026) · Nutrients · doi:10.3390/nu18132041 · Cited by 9
EU Food Law and Ultra-Processed Food Markets: Safety from What and for Whom?
Zokaityte, A. (2025) · Journal of Consumer Policy · doi:10.1007/s10603-025-09582-5 · Cited by 9
Russell, A. J., Hunter, M. K., Maldonado, G., & Burstyn, I. (2025) · BMC Medical Research Methodology · doi:10.1186/s12874-025-02651-w · Cited by 6
Denova‐Gutiérrez, E., Rivera‐Paredez, B., Quezada-Sanchez, A. D., Armenta-Guirado, B. I., Muñoz-Aguirre, P., Flóres, Y. N., Velázquez‐Cruz, R., & Salmerón, J. (2024) · Annals of Hepatology · doi:10.1016/j.aohep.2024.101566 · Cited by 6
Ultra-processed foods: Implications for gastrointestinal health
Singh, A. K., Gandotra, A., Kumar, S., Singh, A., Kochhar, R. K., & Manrai, M. (2025) · World Journal of Gastroenterology · doi:10.3748/wjg.v31.i36.109143 · Cited by 8
Dairy intake and risk of type 2 diabetes: results of a large prospective cohort
Zhang, S., Meng, G., Zhang, Q., Liu, L., Wu, H., Gu, Y., Wang, X., Zhang, J., Sun, S., Wang, X., et al. (2023) · Food & Function · doi:10.1039/d3fo02023a · Cited by 7
Self-citationBuytaert, M., Declercq, D., Depoorter, F., Cosijn, Z., Devisscher, L., Raevens, S., Verhelst, X., Vlierberghe, H. V., Geerts, A. M., Bruyne, R. D., et al. (2024) · Pediatric Obesity · doi:10.1111/ijpo.13174 · Cited by 5
Brouwer, W. P., Vonghia, L., Thiele, M. S., Schattenberg, J. M., Anastasiou, F., Beckmann, S., Bugianesi, E., Castéra, L., Caussy, C., Cordie, A., et al. (2026) · JHEP Reports · doi:10.1016/j.jhepr.2026.101798 · Cited by 6
Hou, M., & Qiu, C. (2023) · Nutrients · doi:10.3390/nu15194178 · Cited by 4
Tu, B., Li, W., Xiao, H., Xu, X., & Zhang, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-55566-9 · Cited by 4
Physical Activity, Gut Microbiota, and the Risk of Dyslipidemia in a Community‐Based Cohort Study
Wang, W., Liang, S., Cao, H., Lyu, Y., Zhao, Q., Zhang, Z., & Yang, W. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.125.043797 · Cited by 4
Hägele, F. A., Enderle, J., Rimbach, G. H., & Bosy‐Westphal, A. (2023) · Exploration of Digestive Diseases · doi:10.37349/edd.2023.00023 · Cited by 6
Meng, G., Yao, J., Li, J.-Y., Gu, Y., Wu, H., Zhang, Q., Liu, L., Wang, X., Zhang, J., Sun, S., et al. (2023) · Food & Function · doi:10.1039/d3fo01921g · Cited by 4
Self-citationFu, Y., Chen, W., & Liu, Y. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-04935-0 · Cited by 4
Kwan, B. S., Ko, N. G., & Park, J. E. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14227930 · Cited by 3
Yang, D., Gu, Y., Wu, H., Meng, G., Zhang, Q., Liu, L., Sun, S., Wang, X., Jia, Q., Song, K., et al. (2025) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2025.09.020 · Cited by 3
Self-citationWiering, L., & Demir, M. (2026) · Liver International · doi:10.1111/liv.70731 · Cited by 3
Sun, N. Z., Prescott, B. R., Ma, J., Xanthakis, V., Quatromoni, P. A., Long, M. T., & Walker, M. E. (2025) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2025.01.045 · Cited by 4
Zou, Q., Ogaz-González, R., Du, Y., Duan, M.-J., Lunter, G. A., & Corpeleijn, E. (2025) · Archives of Public Health · doi:10.1186/s13690-025-01678-1 · Cited by 3
Li, Y., Song, X., Xue, D., Lai, Y., Zhang, Y., Xia, P., Chen, J., Liu, G., Pan, A., Liao, Y.-F., et al. (2025) · npj Science of Food · doi:10.1038/s41538-025-00597-3 · Cited by 5
Ren, J., Zhou, L., Li, Y., Zhang, S., Xu, X., Chi, X., & Xie, H. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1675892 · Cited by 2
Self-citationZheng, J., Gong, X., Chen, Y., Chen, Y., Zhang, X., & Qin, W. (2026) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2026.2632894 · Cited by 2
Moslehi, N., Hosseinpanah, F., Mirmiran, P., & Azizi, F. (2026) · Nutrition & Metabolism · doi:10.1186/s12986-026-01106-3 · Cited by 2
Jarvis, H., Brennan, P., Casanovas, T., Casler, K., Desai, M., Evans, P. H., Dillon, J. F., Grattagliano, I., Hallsworth, K., Hebditch, V., et al. (2026) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(26)00015-4 · Cited by 3
Reducing complications of metabolic dysfunction–associated steatotic liver disease
Wada, N., Iwaki, M., Kobayashi, T., Nakajima, A., & Yoneda, M. (2025) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2025.2502549 · Cited by 1
Zhang, S., Xu, X., Wang, D., Gu, Y., Wu, H., Meng, G., Zhang, Q., Liu, L., Borné, Y., Niu, K., et al. (2026) · Food & Function · doi:10.1039/d5fo05581d · Cited by 1
Self-citationLv, Y., Zhao, F., Zhang, Y., Zheng, Z., Hou, C., Gg, J., Lin, S., Liu, L., & Chen, L. (2026) · Nutrients · doi:10.3390/nu18152430 · Cited by 1
Self-citationMetabolic dysfunction-associated steatotic liver disease in women across the life course
Okigbo, C. C., Springel, E. H., Blaney, H. L., & Sanyal, A. J. (2026) · The Lancet Obstetrics Gynaecology & Women s Health · doi:10.1016/s3050-5038(26)00177-9 · Cited by 1
Association of dietary with metabolic associated fatty liver disease risk: a cross-sectional studyPreprint
Huang, X., Peng, H., Huang, J., Yu, R., Hu, Z., & Peng, X. (2022) · Research Square · doi:10.21203/rs.3.rs-2033952/v1
Wang, M., Wang, L., Yang, M., Zhang, X., & Fan, X. (2024) · Journal of Health Psychology · doi:10.1177/13591053231221064
Teng, M. L. P., Ng, C. H., Muthiah, M. D., Nguyen, M. H., & Huang, D. Q. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99649-5.00017-0
Zabotina, E. E., Khabarova, Y. A., & Stukova, N. Y. (2025) · Experimental and Clinical Gastroenterology · doi:10.31146/1682-8658-ecg-229-9-96-109
Alikhani, A., Seraj, A., kakoienejad, M. M., Poustchi, H., & Yari, Z. (2025) · Iṭṭilā’āt-i māhiyānah. · doi:10.61186/nsft.20.1.13
Liu, J., Wu, H., Gu, Y., Meng, G., Wu, X., Zhu, D., Zhang, Q., Liu, L., Lai, S., Chen, Y., et al. (2025) · European Journal of Nutrition · doi:10.1007/s00394-025-03764-0
Self-citationMetabolisch assoziierte Fettlebererkrankung (MASLD)
Kreimeyer, H., Gerken, G., & Canbay, A. E. (2025) · Elsevier eBooks · doi:10.1016/b978-3-437-21164-5.00027-1
Zhang, S., Yan, Y., Gu, Y., Wu, H., Zhang, Q., Liu, L., Borné, Y., Qi, L., Huang, T., Chen, Y., et al. (2025) · Food & Function · doi:10.1039/d5fo04464b
Self-citationFu, Y., Chen, W., & liu, Y. (2024) · Figshare · doi:10.6084/m9.figshare.26724740
Fu, Y., Chen, W., & liu, Y. (2024) · Figshare · doi:10.6084/m9.figshare.26724743
Shinozaki, N., Murakami, K., Yuan, X., Tajima, R., Matsumoto, M., Asakura, K., Masayasu, S., & Sasaki, S. (2024) · Figshare · doi:10.6084/m9.figshare.26649696
Fu, Y., Chen, W., & liu, Y. (2024) · Figshare · doi:10.6084/m9.figshare.26724734
Fu, Y., Chen, W., & liu, Y. (2024) · Figshare · doi:10.6084/m9.figshare.26724749
Metadata
- Authors
- Zhang, S., Gan, S., Zhang, Q., Liu, L., Meng, G., Yao, Z., Wu, H., Gu, Y., Wang, Y., Zhang, T., Wang, X., Sun, S., Wang, X., Zhou, M., Jia, Q., Song, K., Qi, L., & Niu, K.
- Affiliations
- Tianjin Medical University (CN)
- Tianjin Medical University General Hospital (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Tulane University (US)
- Corresponding author
- Niu, Kaijun
- ORCID
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-09-16
- Volume
- 51
- Issue
- 1
- Pages
- 237-249
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W3200619739
- Cited by
- 113
- References
- 48
- Citations by year
- 2026: 18 · 2025: 33 · 2024: 23 · 2023: 22 · 2022: 15 · 2021: 2
- FWCI
- 13.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- International Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81941024, 91746205, 81872611, 81673166)
- National Key Research and Development Project-Study on Diet and Nutrition Assessment and Intervention Technology (2020YFC2006300)
- National Health Commission of China (SPSYYC 2020015)
- Nutrition Research Foundation—DSM Research Fund (2016-046, 2014-071, 2016-023)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Consumer Attitudes and Food Labeling
- Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- ultra-processed foods, non-alcoholic fatty liver disease, dietary risk factors, food processing, diet quality
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Diet, Female, Humans, Inflammation, Male, Middle Aged, Prospective Studies, Risk Factors, Cohort Studies, Young Adult, Non-alcoholic Fatty Liver Disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review