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Park H, Lee Y, Hwang J, Lee Y. Ultra-processed food consumption and increased risk of metabolic syndrome in Korean adults: A cross-sectional analysis of the KNHANES 2016-2020. Nutrition 2024; 122:112374. [PMID: 38430845 DOI: 10.1016/j.nut.2024.112374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/20/2023] [Accepted: 01/27/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE This study aimed to investigate the association between ultra-processed food (UPF) intake and the risk for metabolic syndrome (MetS) in Korean adults. METHODS The study consisted of 22 688 Korean adults ≥19 y of age from the Korea National Health and Nutrition Examination Survey (KNHANES) 2016-2020. The NOVA classification categorizes foods according to the nature, extent, and purpose of industrial processing. MetS was defined based on the National Cholesterol Education Program Adult Treatment Panel III criteria and a modified waist circumference cut-off for Korean adults. We estimated the usual percent total food intake from UPFs. We used multivariate logistic regression to assess the association between UPFs and risk for MetS, adjusted for age, sex, education level, income level, smoking status, alcohol drinking, physical activity, and total energy intake. We further analyzed the association of UPFs with each component of MetS. RESULTS The median usual percent total food intake from UPFs was 22%, and the midpoint of intake ranged from 3% (quartile 1) to 48% (quartile 4). The group with the highest UPF consumption had a 19% higher risk for developing MetS than the lowest quartile of UPF consumption (odds ratio [OR],1.19; 95% confidence interval [CI], 1.06-1.33; Ptrend = 0.006). In analysis of the relationship between UPF intake and MetS components, a higher UPF was associated with an increased risk for hypertension (OR, 1.13; 95% CI, 1.01-1.26; Ptrend = 0.037) and abdominal obesity (OR, 1.19; 95% CI, 1.07-1.33; Ptrend = 0.001), but had no significant association with other components (hyperglycemia, hypertriacylglycerolmia, and low high-density lipoprotein cholesterol, all P > 0.05). CONCLUSION Higher UPF contribution to total daily food intake is associated with an increased risk for MetS, particularly with a higher risk for hypertension and abdominal obesity.
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Affiliation(s)
- Hansol Park
- Department of Food and Nutrition, Myongji University, Yongin, Korea
| | - Youngmi Lee
- Department of Food and Nutrition, Myongji University, Yongin, Korea
| | - Jinah Hwang
- Department of Food and Nutrition, Myongji University, Yongin, Korea
| | - Yujin Lee
- Department of Food and Nutrition, Myongji University, Yongin, Korea.
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Dai S, Wellens J, Yang N, Li D, Wang J, Wang L, Yuan S, He Y, Song P, Munger R, Kent MP, MacFarlane AJ, Mullie P, Duthie S, Little J, Theodoratou E, Li X. Ultra-processed foods and human health: An umbrella review and updated meta-analyses of observational evidence. Clin Nutr 2024; 43:1386-1394. [PMID: 38688162 DOI: 10.1016/j.clnu.2024.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 03/04/2024] [Accepted: 04/11/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND & AIMS Ultra-processed food (UPF) intake has increased sharply over the last few decades and has been consistently asserted to be implicated in the development of non-communicable diseases. We aimed to evaluate and update the existing observational evidence for associations between ultra-processed food (UPF) consumption and human health. METHODS We searched Medline and Embase from inception to March 2023 to identify and update meta-analyses of observational studies examining the associations between UPF consumption, as defined by the NOVA classification, and a wide spectrum of health outcomes. For each health outcome, we estimated the summary effect size, 95% confidence interval (CI), between-study heterogeneity, evidence of small-study effects, and evidence of excess-significance bias. These metrics were used to evaluate evidence credibility of the identified associations. RESULTS This umbrella review identified 39 meta-analyses on the associations between UPF consumption and health outcomes. We updated all meta-analyses by including 122 individual articles on 49 unique health outcomes. The majority of the included studies divided UPF consumption into quartiles, with the lowest quartile being the reference group. We identified 25 health outcomes associated with UPF consumption. For observational studies, 2 health outcomes, including renal function decline (OR: 1.25; 95% CI: 1.18, 1.33) and wheezing in children and adolescents (OR: 1.42; 95% CI: 1.34, 1.49), showed convincing evidence (Class I); and five outcomes were reported with highly suggestive evidence (Class II), including diabetes mellitus, overweight, obesity, depression, and common mental disorders. CONCLUSIONS High UPF consumption is associated with an increased risk of a variety of chronic diseases and mental health disorders. At present, not a single study reported an association between UPF intake and a beneficial health outcome. These findings suggest that dietary patterns with low consumption of UPFs may render broad public health benefits.
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Affiliation(s)
- Shuhui Dai
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Judith Wellens
- Translational Gastro-Intestinal Unit, Nuffield Department of Medicine, John Radcliffe Hospital, Oxford, UK; KU Leuven Department of Chronic Diseases and Metabolism, Translational Research Center for Gastrointestinal Disorders (TARGID), Leuven, Belgium
| | - Nan Yang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Doudou Li
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jingjing Wang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lijuan Wang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Shuai Yuan
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Yazhou He
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Peige Song
- School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ron Munger
- Department of Nutrition and Food Sciences and the Center for Epidemiologic Studies, Utah State University, Logan, UT, USA
| | - Monique Potvin Kent
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Patrick Mullie
- International Prevention Research Institute, Lyon, France; Belgian Centre for Evidence-Based Medicine, Leuven, Belgium
| | - Susan Duthie
- School of Pharmacy and Life Sciences, The Robert Gordon University, Aberdeen, UK
| | - Julian Little
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK; Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China.
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Fung TT, Rossato SL, Chen Z, Khandpur N, Rodriguez-Artalejo F, Willett WC, Struijk EA, Lopez-Garcia E. Ultraprocessed foods, unprocessed or minimally processed foods, and risk of frailty in a cohort of United States females. Am J Clin Nutr 2024:S0002-9165(24)00468-4. [PMID: 38750726 DOI: 10.1016/j.ajcnut.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/03/2024] [Accepted: 05/07/2024] [Indexed: 05/28/2024] Open
Abstract
BACKGROUND Ultraprocessed foods (UPFs) and poor diet quality have been associated with frailty but existing studies had relatively short follow-up time. It is also unclear whether the association of UPF was primarily due to its correlation with poorer diet quality. OBJECTIVES We examined the association between unprocessed or minimally processed foods (UMFs) and UPF and risk of frailty and explored whether the association with UPF was mainly driven by poor diet quality. METHODS In total, 63,743 nonfrail females aged 60+ y from the Nurses' Health Study (cohort study) were followed up for ≥26 y. Diet was assessed every 4 y by food frequency questionnaires. UPF and UMF intakes were calculated using the Nova classification. Diet quality was estimated using the Alternate Healthy Eating Index (AHEI) 2010. The association of UMF and UPF with risk of frailty was examined using multivariable adjusted Cox proportional hazard model. RESULTS During the follow-up period, we recorded 15,187 incident cases of frailty. The hazard ratio (HR) of frailty for the highest compared with the lowest quintile of UMFs (servings per day) was 0.86 (95% CI: 0.83, 0.95; P-trend < 0.001). However, this was no longer statistically significant after adjustment for AHEI-2010. UPFs (servings per day) was directly associated with risk of frailty, even after adjustment for AHEI-2010 (1.31; 95% CI: 1.23, 1.39; P-trend < 0.001). Among those at the highest category of the AHEI-2010, UPFs remained directly associated with frailty (HR comparing top with bottom quintile: 1.40; 95% CI:1.24, 1.57; P-trend < 0.001). For UPF components, we found a higher frailty risk with each serving per day of artificial and sugar-sweetened beverages; fat, spreads, and condiments; yogurt and dairy-based desserts; and other UPFs. However, processed whole grains were not associated with frailty. CONCLUSIONS Higher intake of UPF is associated with a higher risk of frailty in older females. This is not explained by a lower diet quality contributed by UPFs.
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Affiliation(s)
- Teresa T Fung
- Department of Nutrition, Simmons University, Boston, MA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
| | - Sinara L Rossato
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Laboratory of Research and Extension in Epidemiolgy (Lapex-Epi), Institute of Geography Universidade Federal de Uberlândia. Uberlândia, Brazil
| | - Zhangling Chen
- Department of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Neha Khandpur
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Division of Human Nutrition and Health, Wageningen University, Netherlands; Faculty of Public Health, University of Sao Paulo, Brazil
| | - Fernando Rodriguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-Idi Paz, Madrid, Spain
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Ellen A Struijk
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-Idi Paz, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Esther Lopez-Garcia
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-Idi Paz, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain; Instituto Madrileño De Estudios Avanzado-Food Institute, Campus de Excelencia Internacional Universidad Autónoma de Madrid+Centro Superior de Investigaciones Científicas, Madrid, Spain
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Li C, Zhang Y, Zhang K, Fu H, Lin L, Cai G, Zhang X, Yang X, Zhang Z, Yang Z, Zhang B. Association Between Ultraprocessed Foods Consumption and Leucocyte Telomere Length: A Cross-Sectional Study of UK Biobank. J Nutr 2024:S0022-3166(24)00273-6. [PMID: 38735573 DOI: 10.1016/j.tjnut.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/23/2024] [Accepted: 05/01/2024] [Indexed: 05/14/2024] Open
Abstract
BACKGROUND □ OBJECTIVES: This study aimed to investigate the association between consumption of ultraprocessed foods and leucocyte telomere length (LTL). METHODS This cross-sectional study utilized data from the UK Biobank, including a total of 64,690 participants. LTL was measured using qPCR with natural logarithmic conversion and z-score normalization. Dietary data were collected through a 24-h recall questionnaire from 2009 to 2010. Ultraprocessed foods (UPFs) were identified using the NOVA food classification as either a continuous or a categorical variable. Multiple linear regression models were employed to analyze the association between UPF consumption and LTL. RESULTS The included participants had an average age of 56.26 y, of whom 55.2% were female. After adjusting for demographic and health-related variables, LTL exhibited a decrease of 0.005 (95% CI: -0.007, -0.002) with 1 UPF serving increase. Compared with participants consuming ≤3.5 servings/d, those consuming 3.5 to <6 servings showed a shortening of LTL by 0.025 (95% CI: -0.046, -0.003). Participants consuming 6 to ≤8 servings/d and >8 servings/d had LTL shortening of 0.032 (95% CI: -0.054, -0.011) and 0.037 (95% CI: -0.060, -0.014), respectively (P for trend = 0.002). Subgroup analyses by UPF subclasses revealed that the consumption of ready-to-eat/heated food (β: -0.010; 95% CI: -0.016, -0.004), beans and potatoes (β: -0.027; 95% CI: -0.043, -0.012), animal-based products (β: -0.012; 95% CI: -0.020, -0.005), artificial sugar (β: -0.014; 95% CI:-0.025,-0.003), and beverages (β: -0.005; 95% CI: -0.009, -0.001) showed negative associations with LTL. Conversely, breakfast cereals (β: 0.022; 95% CI: 0.006, 0.038) and vegetarian alternatives (β: 0.056; 95% CI:0.026,0.085) showed positive correlations with LTL. CONCLUSIONS Our study found that a higher consumption of total UPF was associated with a shorter LTL. However, some UPFs may be associated with longer LTL, depending on their nutritional composition.
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Affiliation(s)
- Chunhao Li
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Yuchun Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Ke Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Hongna Fu
- Division of Emergency Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; NHC Key Laboratory on Assisted Circulation (Sun Yat-sen University), Guangzhou, China
| | - Luyang Lin
- Division of Emergency Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; NHC Key Laboratory on Assisted Circulation (Sun Yat-sen University), Guangzhou, China
| | - Guoyi Cai
- Division of Emergency Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; NHC Key Laboratory on Assisted Circulation (Sun Yat-sen University), Guangzhou, China
| | - Xiaojun Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xingfen Yang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Zheqing Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhen Yang
- Division of Emergency Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; NHC Key Laboratory on Assisted Circulation (Sun Yat-sen University), Guangzhou, China.
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
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Fang Z, Rossato SL, Hang D, Khandpur N, Wang K, Lo CH, Willett WC, Giovannucci EL, Song M. Association of ultra-processed food consumption with all cause and cause specific mortality: population based cohort study. BMJ 2024; 385:e078476. [PMID: 38719536 PMCID: PMC11077436 DOI: 10.1136/bmj-2023-078476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/13/2024] [Indexed: 05/12/2024]
Abstract
OBJECTIVE To examine the association of ultra-processed food consumption with all cause mortality and cause specific mortality. DESIGN Population based cohort study. SETTING Female registered nurses from 11 US states in the Nurses' Health Study (1984-2018) and male health professionals from all 50 US states in the Health Professionals Follow-up Study (1986-2018). PARTICIPANTS 74 563 women and 39 501 men with no history of cancer, cardiovascular diseases, or diabetes at baseline. MAIN OUTCOME MEASURES Multivariable Cox proportional hazard models were used to estimate hazard ratios and 95% confidence intervals for the association of ultra-processed food intake measured by semiquantitative food frequency questionnaire every four years with all cause mortality and cause specific mortality due to cancer, cardiovascular, and other causes (including respiratory and neurodegenerative causes). RESULTS 30 188 deaths of women and 18 005 deaths of men were documented during a median of 34 and 31 years of follow-up, respectively. Compared with those in the lowest quarter of ultra-processed food consumption, participants in the highest quarter had a 4% higher all cause mortality (hazard ratio 1.04, 95% confidence interval 1.01 to 1.07) and 9% higher mortality from causes other than cancer or cardiovascular diseases (1.09, 1.05 to 1.13). The all cause mortality rate among participants in the lowest and highest quarter was 1472 and 1536 per 100 000 person years, respectively. No associations were found for cancer or cardiovascular mortality. Meat/poultry/seafood based ready-to-eat products (for example, processed meat) consistently showed strong associations with mortality outcomes (hazard ratios ranged from 1.06 to 1.43). Sugar sweetened and artificially sweetened beverages (1.09, 1.07 to 1.12), dairy based desserts (1.07, 1.04 to 1.10), and ultra-processed breakfast food (1.04, 1.02 to 1.07) were also associated with higher all cause mortality. No consistent associations between ultra-processed foods and mortality were observed within each quarter of dietary quality assessed by the Alternative Healthy Eating Index-2010 score, whereas better dietary quality showed an inverse association with mortality within each quarter of ultra-processed foods. CONCLUSIONS This study found that a higher intake of ultra-processed foods was associated with slightly higher all cause mortality, driven by causes other than cancer and cardiovascular diseases. The associations varied across subgroups of ultra-processed foods, with meat/poultry/seafood based ready-to-eat products showing particularly strong associations with mortality.
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Affiliation(s)
- Zhe Fang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sinara Laurini Rossato
- Laboratory of Research and Extension in Epidemiology (Lapex-Epi), Institute of Geography, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dong Hang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Neha Khandpur
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Chun-Han Lo
- Department of Internal Medicine, Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, NV, USA
| | - Walter C Willett
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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Price EJ, Du M, McKeown NM, Batterham MJ, Beck EJ. Excluding whole grain-containing foods from the Nova ultraprocessed food category: a cross-sectional analysis of the impact on associations with cardiometabolic risk measures. Am J Clin Nutr 2024; 119:1133-1142. [PMID: 38417577 DOI: 10.1016/j.ajcnut.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/08/2024] [Accepted: 02/22/2024] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND Whole grain (WG) consumption is linked with a reduced risk of chronic disease. However, the recommendations of the Nova classification system tend to contradict this evidence as high WG-containing foods, such as bread and cereals, are considered ultraprocessed, and intake is discouraged. OBJECTIVES This study aimed to explore associations of cardiometabolic risk measures with ultraprocessed food (UPF) intake as classified by Nova compared with when foods with ≥25% and ≥50% WG are removed from the Nova UPF category. METHODS A cross-sectional analysis of the 2015-18 National Health and Nutrition Examination Survey. Nova was used to identify UPFs, and the WG Initiative's definition of a WG food and front-of-pack labeling requirements was used to identify high WG foods. Regression models were used to explore impacts on the association of UPF intake (quintiles) and cardiometabolic risk measures when high WG foods were excluded from the Nova UPF category. RESULTS Participants in the highest quintile of UPF intake had significantly higher weight [83.6 kg (0.8)], BMI (in kg/m2) [30.6 (0.3)], waist circumference [103.1 cm (0.6)], and weight-to-height ratio [0.63 (0.003)] compared to those in the lowest quintile (P < 0.0001 for all). The same was found when foods with ≥25% and ≥50% WG were removed. Positive associations for C-reactive protein were found when ≥25% and ≥50% WG-containing foods were removed only [2.32 mg/L (0.1), P = 0.0209; 2.37 mg/L (0.1), P = 0.0179, respectively]. Participants in the highest quintile had significantly lower total cholesterol after adjustment when foods with ≥50% WG were removed [4.98 mmol/L (0.04), P = 0.0292]. Adjusted R2 values remained relatively unchanged across each approach for all outcomes. CONCLUSIONS Foods high in WG may not significantly contribute to the deleterious associations previously observed between UPF intake and cardiometabolic risk factors. Consideration of their contribution to healthful dietary patterns and diet quality in the United States population should be made prior to the endorsement of Nova.
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Affiliation(s)
- Elissa J Price
- School of Health Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Mengxi Du
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States
| | - Nicola M McKeown
- Programs in Nutrition, Department of Health Sciences, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Marijka J Batterham
- National Institute for Applied Statistics Research Australia and Statistical Consulting Centre, School of Mathematics and Applied Statistics, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW, Australia
| | - Eleanor J Beck
- School of Health Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia; School of Medical, Indigenous, and Health Sciences, Faculty of Science, Medicine, and Health, University of Wollongong, Wollongong, NSW, Australia.
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7
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Li Z, Geng G, Xie H, Zhou L, Wang L, Qiao F. Metabolomic and transcriptomic reveal flavonoid biosynthesis and regulation mechanism in Phlomoides rotata from different habitats. Genomics 2024; 116:110850. [PMID: 38685286 DOI: 10.1016/j.ygeno.2024.110850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/02/2024]
Abstract
Phlomoides rotata is a traditional medical plant at 3100-5200 m altitude in the Tibet Plateau. In this study, flavonoid metabolites were investigated in P. rotata from Henan County (HN), Guoluo County (GL), Yushu County (YS), and Chengduo County (CD) habitats in Qinghai. The level of kaempferol 3-neohesperidoside, sakuranetin, and biochanin A was high in HN. The content of limocitrin and isoquercetin was high in YS. The levels of ikarisoside A and chrysosplenol D in GL were high. Schaftoside, miquelianin, malvidin chloride, and glabrene in CD exhibited high levels. The results showed a significant correlation between 59 flavonoids and 29 DEGs. Eleven flavonoids increased with altitude. PAL2, UFGT6, COMT1, HCT2, 4CL4, and HCT3 genes were crucial in regulating flavonoid biosynthesis. Three enzymes CHS, 4CL, and UFGT, were crucial in regulating flavonoid biosynthesis. This study provided biological and chemical evidence for the different uses of various regional plants of P. rotata.
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Affiliation(s)
- Zuxia Li
- Key Laboratory of Tibetan Plateau Medicinal Plant and Animal Resources, School of Life Sciences, Qinghai Normal University, Xining 810008, China
| | - Guigong Geng
- Academy of Agricultural and Forestry Sciences, Qinghai University, Xining 810016, China
| | - Huichun Xie
- Key Laboratory of Tibetan Plateau Medicinal Plant and Animal Resources, School of Life Sciences, Qinghai Normal University, Xining 810008, China; Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810008, China
| | - Lianyu Zhou
- Key Laboratory of Tibetan Plateau Medicinal Plant and Animal Resources, School of Life Sciences, Qinghai Normal University, Xining 810008, China; Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810008, China
| | - Luhao Wang
- Key Laboratory of Tibetan Plateau Medicinal Plant and Animal Resources, School of Life Sciences, Qinghai Normal University, Xining 810008, China
| | - Feng Qiao
- Key Laboratory of Tibetan Plateau Medicinal Plant and Animal Resources, School of Life Sciences, Qinghai Normal University, Xining 810008, China; Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810008, China.
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Kronsteiner-Gicevic S, Bogl LH, Wakolbinger M, Müller S, Dietrich J, De Keyzer W, Bullón-Vela V, Selinger E, Keller V, Martínez Tabar A, Asif T, Craig L, Kyle J, Schlesinger S, Köder C, Ouradova A, Henikova M, Van Lippevelde W, Cahova M, Martínez González MA, Willett W, Bes-Rastrollo M, Gojda J, De Henauw S, Keller M, Kuzma M, Schernhammer E. Development of the VEGANScreener, a Tool for a Quick Diet Quality Assessment among Vegans in Europe. Nutrients 2024; 16:1344. [PMID: 38732591 PMCID: PMC11085181 DOI: 10.3390/nu16091344] [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: 04/03/2024] [Revised: 04/26/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Plant-based diets are not inherently healthy. Similar to omnivorous diets, they may contain excessive amounts of sugar, sodium, and saturated fats, or lack diversity. Moreover, vegans might be at risk of inadequate intake of certain vitamins and minerals commonly found in foods that they avoid. We developed the VEGANScreener, a tool designed to assess the diet quality of vegans in Europe. METHODS Our approach combined best practices in developing diet quality metrics with scale development approaches and involved the following: (a) narrative literature synthesis, (b) evidence evaluation by an international panel of experts, and (c) translation of evidence into a diet screener. We employed a modified Delphi technique to gather opinions from an international expert panel. RESULTS Twenty-five experts in the fields of nutrition, epidemiology, preventive medicine, and diet assessment participated in the first round, and nineteen participated in the subsequent round. Initially, these experts provided feedback on a pool of 38 proposed items from the literature review. Consequently, 35 revised items, with 17 having multiple versions, were suggested for further consideration. In the second round, 29 items were retained, and any residual issues were addressed in the final consensus meeting. The ultimate screener draft encompassed 29 questions, with 17 focusing on foods and nutrients to promote, and 12 addressing foods and nutrients to limit. The screener contained 24 food-based and 5 nutrient-based questions. CONCLUSIONS We elucidated the development process of the VEGANScreener, a novel diet quality screener for vegans. Future endeavors involve contrasting the VEGANScreener against benchmark diet assessment methodologies and nutritional biomarkers and testing its acceptance. Once validated, this instrument holds potential for deployment as a self-assessment application for vegans and as a preliminary dietary screening and counseling tool in healthcare settings.
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Affiliation(s)
- Selma Kronsteiner-Gicevic
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, 1090 Vienna, Austria
| | - Leonie H. Bogl
- Department Nutrition and Dietetics, Faculty of Health Professions, Bern University of Applied Sciences, 3008 Bern, Switzerland
| | - Maria Wakolbinger
- Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria
| | - Sandra Müller
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Joelina Dietrich
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Willem De Keyzer
- School of Bioscience and Industrial Technology, HOGENT University of Applied Sciences and Arts, 9000 Ghent, Belgium
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Vanessa Bullón-Vela
- Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA, 31008 Pamplona, Spain (M.B.-R.)
| | - Eliska Selinger
- Department of Epidemiology and Biostatistics, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
- Center for Public Health Promotion, National Institute of Public Health, 100 00 Prague, Czech Republic
| | - Vanessa Keller
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Ainara Martínez Tabar
- Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA, 31008 Pamplona, Spain (M.B.-R.)
| | - Tooba Asif
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Leone Craig
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen AB24 3FX, UK
| | - Janet Kyle
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen AB24 3FX, UK
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich, Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Christian Köder
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Anna Ouradova
- Department of Internal Medicine, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
| | - Marina Henikova
- Department of Internal Medicine, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
| | - Wendy Van Lippevelde
- Faculty of Economics and Business, Department of Marketing Innovation & Organisation Unit Consumer Behaviour, Ghent University, 9000 Ghent, Belgium
| | - Monika Cahova
- Institute for Clinical and Experimental Medicine, 140 21 Prague, Czech Republic
| | - Miguel Angel Martínez González
- Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA, 31008 Pamplona, Spain (M.B.-R.)
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
- Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERobn), 28029 Madrid, Spain
| | - Walter Willett
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra-IdiSNA, 31008 Pamplona, Spain (M.B.-R.)
- Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERobn), 28029 Madrid, Spain
| | - Jan Gojda
- Department of Internal Medicine, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic
| | - Stefaan De Henauw
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium
| | - Markus Keller
- Research Institute for Plant-Based Nutrition, 35444 Biebertal, Germany
| | - Marek Kuzma
- Institute of Microbiology of the CAS, 142 20 Prague, Czech Republic
- Department of Analytical Chemistry, Faculty of Science, Palacky University, 779 00 Olomouc, Czech Republic
| | - Eva Schernhammer
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
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9
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Oncina-Cánovas A, Torres-Collado L, García-de-la-Hera M, Compañ-Gabucio LM, González-Palacios S, Signes-Pastor AJ, Vioque J. Pro-vegetarian dietary patterns and mortality by all-cause and specific causes in an older Mediterranean population. J Nutr Health Aging 2024; 28:100239. [PMID: 38643602 DOI: 10.1016/j.jnha.2024.100239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 04/10/2024] [Accepted: 04/13/2024] [Indexed: 04/23/2024]
Abstract
PURPOSE Pro-vegetarian (PVG) dietary patterns have shown health benefits, although the evidence concerning their association with mortality is scarce, particularly in older populations. We investigated the effect of three defined PVG patterns on all-cause, cardiovascular disease (CVD) and cancer mortality risk in an older Mediterranean population. METHODS We analysed baseline data from 597 adults aged 65 and older who participated in a population-based cross-sectional study, and mortality during a 12-year period. We used a validated food frequency questionnaire to estimate the adherence in tertiles to three evidence-based PVG dietary patterns: a general PVG pattern (gPVG) and two specific variations (healthful -hPVG, and unhealthful -uPVG). The gPVG pattern incorporated data from 12 food groups, consisting of 7 plant-based and 5 animal-based. The hPVG and uPVG versions included information from 18 food groups (4 food groups added and the splitting of 2 food groups). We used Cox regression to estimate hazard ratios (HR) and 95% confidence intervals (CI) adjusting for relevant covariates. RESULTS After the 12-years follow-up period, moderate adherence to hPVG pattern was associated with lower all-cause and CVD mortality whereas greater adherence to uPVG pattern was associated with higher all-cause and CVD mortality. Compared with those in the lowest tertile, participants in the second tertile of adherence to the hPVG pattern showed a significant lower risk of all-cause mortality (HR = 0.59; 95%CI: 0.43, 0.82) and CVD mortality (HR = 0.47; 0.28, 0.78). Participants in the highest tertile of adherence to the uPVG showed an increased mortality risk of all-cause (HR = 1.53; 1.07, 2.19) and CVD (HR = 2.10; 1.19, 3.70). No significant associations were found between adherence to any of the PVG dietary patterns and cancer mortality. CONCLUSION Moderate adherence to a healthy PVG pattern reduced the long-term mortality risk for all-cause and CVD in an older Mediterranean population, while higher adherence to an unhealthy PVG pattern increased the risk of all-cause and CVD mortality.
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Affiliation(s)
- Alejandro Oncina-Cánovas
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28034 Madrid, Spain
| | - Laura Torres-Collado
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28034 Madrid, Spain.
| | - Manuela García-de-la-Hera
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28034 Madrid, Spain
| | - Laura María Compañ-Gabucio
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28034 Madrid, Spain
| | - Sandra González-Palacios
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28034 Madrid, Spain
| | - Antonio J Signes-Pastor
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28034 Madrid, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28034 Madrid, Spain
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10
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Vlassopoulos A, Katidi A, Noutsos S, Kapsokefalou M. Precision Food Composition Data as a Tool to Decipher the Riddle of Ultra-Processed Foods and Nutritional Quality. Foods 2024; 13:1259. [PMID: 38672931 PMCID: PMC11049098 DOI: 10.3390/foods13081259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/14/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Epidemiology supports a link between ultra-processed foods (UPFs) and health, mediated mainly through the clustering of foods with suboptimal nutrient profiles within UPFs. However, successful NOVA categorization requires access to a food's ingredient list, which we hypothesized can impact both UPF identification and the link between processing and composition. METHODS Foods (n = 4851) in the HelTH branded food composition database were classified as NOVA1-4, with or without using the ingredient lists (generic and branded approach, respectively), to identify differences in NOVA classification (chi-square test) and the estimated average nutritional composition of each NOVA group (Kruskal-Willis U test). RESULTS Using the ingredients list increased UPF identification by 30%. More than 30% of foods commonly assumed to be minimally processed (NOVA1-plain dairy, frozen vegetables, etc.) were reclassified as UPFs when using ingredient lists. These reclassified foods, however, had nutritional compositions comparable to NOVA1 foods and better than UPFs for energy, fat, sugars, and sodium (p < 0.001). In fact, UPFs did not show a uniform nutritional composition covering foods from Nutri-Score A (~10%) to Nutri-Score E (~20%). CONCLUSIONS The assumption that all UPFs have the same unfavorable nutritional composition is challenged when NOVA is applied using the appropriate branded food composition database.
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Affiliation(s)
- Antonis Vlassopoulos
- Laboratory of Chemistry and Food Analysis, Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece; (A.K.); (S.N.); (M.K.)
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11
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Vitale M, Giacco R. Reply to J Barbaresko et al. Adv Nutr 2024; 15:100202. [PMID: 38616068 PMCID: PMC11031374 DOI: 10.1016/j.advnut.2024.100202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 03/05/2024] [Indexed: 04/16/2024] Open
Affiliation(s)
- Marilena Vitale
- Department of Clinical Medicine and Surgery, Diabetes, Nutrition and Metabolism Unit, Federico II University of Naples, Italy.
| | - Rosalba Giacco
- Institute of Food Sciences, National Research Council, Avellino, Italy
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12
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Barbaresko J, Lang A, Schlesinger S. Uncovering Shortcomings and Deficiencies in the Systematic Review and Meta-Analysis on Ultraprocessed Food Consumption and Human Health. Adv Nutr 2024; 15:100201. [PMID: 38616065 PMCID: PMC11031372 DOI: 10.1016/j.advnut.2024.100201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 04/16/2024] Open
Affiliation(s)
- Janett Barbaresko
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany.
| | - Alexander Lang
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany
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13
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He X, Zhang X, Si C, Feng Y, Zhu Q, Li S, Shu L. Ultra-processed food consumption and chronic kidney disease risk: a systematic review and dose-response meta-analysis. Front Nutr 2024; 11:1359229. [PMID: 38606016 PMCID: PMC11007045 DOI: 10.3389/fnut.2024.1359229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/19/2024] [Indexed: 04/13/2024] Open
Abstract
BackgroundHigh intake of ultra-processed food (UPF) has been associated with increased risk of chronic kidney disease(CKD), but the results remain inconsistent. We therefore performed this systematic review and dose–response meta-analysis of observational studies that shed light on the association between UPF consumption and the risk of CKD.MethodsA systematic literature search of PubMed, Embase, Web of Science, Scopus and China National Knowledge Infrastructure (CNKI) databases was carried out to find the eligible articles published up to October 31, 2023. Random-effects or fixed-effects models were used to pool the relative risks(RRs) and their 95% confidence intervals (CIs).The potential sources of heterogeneity across studies were examined using the Cochran’s Q test and I-square(I2). Publication bias was examined using the visual inspection of asymmetry in funnel plots and quantified by Begg’s and Egger’s tests.ResultsEight studies (six cohort and two cross-sectional studies) exploring the association between UPF consumption and risk of CKD, were included in the final analysis. The pooled analyses revealed that high consumption of UPF was associated with an increased risk of CKD (RR = 1.25; 95%CI: 1.09–1.42, p < 0.0001). Moreover, a 10% increase of UPF consumption was associated with a 7% higher risk of CKD (RR = 1.07; 95%CI: 1.04–1.10, p < 0.001). Dose–response analysis of all included studies showed a linear association between UPF consumption and the risk of CKD (RR = 1.02; 95%CI:0.99–1.05, Pdose–response = 0.178, Pnonlinearity = 0.843).ConclusionOur findings indicate that high consumption of UPF is significantly associated with an increased risk of CKD. Future research with prospective design is required to confirm this positive association.Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023478483, PROSPERO identifier CRD42023478483.
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Affiliation(s)
- Xingzhen He
- Department of Digestion, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Xiaoyan Zhang
- Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Caijuan Si
- Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Yuliang Feng
- Department of Digestion, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Qin Zhu
- Department of Digestion, Zhejiang Hospital, Hangzhou, Zhejiang, China
- Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Songtao Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Long Shu
- Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China
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14
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Dugani SB, Lahr BD, Xie H, Mielke MM, Bailey KR, Vella A. County Rurality and Incidence and Prevalence of Diagnosed Diabetes in the United States. Mayo Clin Proc 2024:S0025-6196(23)00572-4. [PMID: 38506780 DOI: 10.1016/j.mayocp.2023.11.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 11/02/2023] [Accepted: 11/15/2023] [Indexed: 03/21/2024]
Abstract
OBJECTIVE To examine differences in the incidence and prevalence of diagnosed diabetes by county rurality. PATIENTS AND METHODS This observational, cross-sectional study used US Centers for Disease Control and Prevention data from 2004 through 2019 for county estimates of incidence and prevalence of diagnosed diabetes. County rurality was based on 6 levels (large central metro counties [most urban] to noncore counties [most rural]). Weighted least squares regression was used to relate rurality with diabetes incidence rates (IRs; per 1000 adults) and prevalence (percentage) in adults aged 20 years or older after adjusting for county-level sociodemographic factors (eg, food environment, health care professionals, inactivity, obesity). RESULTS Overall, in 3148 counties and county equivalents, the crude IR and prevalence of diabetes were highest in noncore counties. In age and sex ratio-adjusted models, the IR of diabetes increased monotonically with increasing rurality (P<.001), whereas prevalence had a weak, nonmonotonic but statistically significant increase (P=.002). Further adjustment for sociodemographic factors including food environment, health care professionals, inactivity, and obesity attenuated differences in incidence across rurality levels, and reversed the pattern for prevalence (prevalence ratios [vs large central metro] ranged from 0.98 [95% CI, 0.97 to 0.99] for large fringe metro to 0.94 [95% CI, 0.93 to 0.96] for noncore). In region-stratified analyses adjusted for sociodemographic factors including inactivity and obesity, increasing rurality was inversely associated with incidence in the Midwest and West only and inversely associated with prevalence in all regions. CONCLUSION The crude incidence and prevalence of diagnosed diabetes increased with increasing county rurality. After accounting for sociodemographic factors including food environment, health care professionals, inactivity, and obesity, county rurality showed no association with incidence and an inverse association with prevalence. Therefore, interventions targeting modifiable sociodemographic factors may reduce diabetes disparities by region and rurality.
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Affiliation(s)
- Sagar B Dugani
- Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN; Division of Health Care Delivery Research, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
| | - Brian D Lahr
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Hui Xie
- Centers for Disease Control and Prevention, Atlanta, GA
| | - Michelle M Mielke
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN; Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Kent R Bailey
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | - Adrian Vella
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN
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15
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Freisling H, Córdova R, Aune D, Wagner KH. Ultra processed foods and cancer-authors' reply. THE LANCET REGIONAL HEALTH. EUROPE 2024; 38:100865. [PMID: 38375449 PMCID: PMC10875608 DOI: 10.1016/j.lanepe.2024.100865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 01/24/2024] [Indexed: 02/21/2024]
Affiliation(s)
- Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Reynalda Córdova
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Nutrition, Oslo New University College, Oslo, Norway
- Department of Research, The Cancer Registry of Norway, Oslo, Norway
| | - Karl-Heinz Wagner
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
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16
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Shahid MB, Saeed M, Naeem H, Kumari U. Diabetes mellitus: Is Pakistan the epicenter of the next pandemic? Chronic Dis Transl Med 2024; 10:75-77. [PMID: 38450301 PMCID: PMC10914006 DOI: 10.1002/cdt3.96] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/09/2023] [Accepted: 09/12/2023] [Indexed: 03/08/2024] Open
Abstract
Estimated age-adjusted comparative diabetes prevalence in adults (20-79 years) in Pakistan from the year 2011 to 2021.
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Affiliation(s)
| | | | - Hamza Naeem
- King Edward Medical UniversityLahorePakistan
| | - Usha Kumari
- Dow University of Health SciencesKarachiPakistan
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17
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Lane MM, Gamage E, Du S, Ashtree DN, McGuinness AJ, Gauci S, Baker P, Lawrence M, Rebholz CM, Srour B, Touvier M, Jacka FN, O'Neil A, Segasby T, Marx W. Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses. BMJ 2024; 384:e077310. [PMID: 38418082 PMCID: PMC10899807 DOI: 10.1136/bmj-2023-077310] [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] [Accepted: 01/19/2024] [Indexed: 03/01/2024]
Abstract
OBJECTIVE To evaluate the existing meta-analytic evidence of associations between exposure to ultra-processed foods, as defined by the Nova food classification system, and adverse health outcomes. DESIGN Systematic umbrella review of existing meta-analyses. DATA SOURCES MEDLINE, PsycINFO, Embase, and the Cochrane Database of Systematic Reviews, as well as manual searches of reference lists from 2009 to June 2023. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Systematic reviews and meta-analyses of cohort, case-control, and/or cross sectional study designs. To evaluate the credibility of evidence, pre-specified evidence classification criteria were applied, graded as convincing ("class I"), highly suggestive ("class II"), suggestive ("class III"), weak ("class IV"), or no evidence ("class V"). The quality of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework, categorised as "high," "moderate," "low," or "very low" quality. RESULTS The search identified 45 unique pooled analyses, including 13 dose-response associations and 32 non-dose-response associations (n=9 888 373). Overall, direct associations were found between exposure to ultra-processed foods and 32 (71%) health parameters spanning mortality, cancer, and mental, respiratory, cardiovascular, gastrointestinal, and metabolic health outcomes. Based on the pre-specified evidence classification criteria, convincing evidence (class I) supported direct associations between greater ultra-processed food exposure and higher risks of incident cardiovascular disease related mortality (risk ratio 1.50, 95% confidence interval 1.37 to 1.63; GRADE=very low) and type 2 diabetes (dose-response risk ratio 1.12, 1.11 to 1.13; moderate), as well as higher risks of prevalent anxiety outcomes (odds ratio 1.48, 1.37 to 1.59; low) and combined common mental disorder outcomes (odds ratio 1.53, 1.43 to 1.63; low). Highly suggestive (class II) evidence indicated that greater exposure to ultra-processed foods was directly associated with higher risks of incident all cause mortality (risk ratio 1.21, 1.15 to 1.27; low), heart disease related mortality (hazard ratio 1.66, 1.51 to 1.84; low), type 2 diabetes (odds ratio 1.40, 1.23 to 1.59; very low), and depressive outcomes (hazard ratio 1.22, 1.16 to 1.28; low), together with higher risks of prevalent adverse sleep related outcomes (odds ratio 1.41, 1.24 to 1.61; low), wheezing (risk ratio 1.40, 1.27 to 1.55; low), and obesity (odds ratio 1.55, 1.36 to 1.77; low). Of the remaining 34 pooled analyses, 21 were graded as suggestive or weak strength (class III-IV) and 13 were graded as no evidence (class V). Overall, using the GRADE framework, 22 pooled analyses were rated as low quality, with 19 rated as very low quality and four rated as moderate quality. CONCLUSIONS Greater exposure to ultra-processed food was associated with a higher risk of adverse health outcomes, especially cardiometabolic, common mental disorder, and mortality outcomes. These findings provide a rationale to develop and evaluate the effectiveness of using population based and public health measures to target and reduce dietary exposure to ultra-processed foods for improved human health. They also inform and provide support for urgent mechanistic research. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42023412732.
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Affiliation(s)
- Melissa M Lane
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Elizabeth Gamage
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Shutong Du
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Deborah N Ashtree
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Amelia J McGuinness
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Sarah Gauci
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
- Chronic Disease and Ageing, School of Public Health and Preventive Medicine, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Phillip Baker
- Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Mark Lawrence
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Felice N Jacka
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- James Cook University, College of Public Health, Medical & Veterinary Sciences, Townsville, Queensland, Australia
| | - Adrienne O'Neil
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Toby Segasby
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Wolfgang Marx
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
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18
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Bermúdez-Millán A, Feinn R, Lampert R, Pérez-Escamilla R, Segura-Pérez S, Wagner J. Household food insecurity is associated with greater autonomic dysfunction testing score in Latinos with type 2 diabetes. PLoS One 2024; 19:e0297681. [PMID: 38394186 PMCID: PMC10889858 DOI: 10.1371/journal.pone.0297681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/10/2024] [Indexed: 02/25/2024] Open
Abstract
AIM We examined household food insecurity (HFI) and autonomic nervous system (ANS) function in a subset of low-income Latinos with type 2 diabetes with data from a stress management trial. METHODS InclusionLatino or Hispanic, Spanish speaking, age less than 18 years, ambulatory status, type 2 diabetes more than 6 months, A1c less than 7.0%. ExclusionPain or dysfunction in hands (e.g., arthritis) precluding handgrip testing; medical or psychiatric instability. HFI was assessed with the 6-item U.S. household food security survey module; with responses to > = 1 question considered HFI. An ANS dysfunction index was calculated from xix autonomic function tests which were scored 0 = normal or 1 = abnormal based on normative cutoffs and then summed. Autonomic function tests were: 1) 24-hour heart rate variability as reflected in standard deviation of the normal-to-normal (SDNN) heart rate acquired with 3-channel, 7-lead ambulatory electrocardiogram (Holter) monitors; 2) difference between the highest diastolic blood pressure (DBP) during sustained handgrip and the average DBP at rest; 3) difference between baseline supine and the minimal BP after standing up; and, from 24-hour urine specimens 4) cortisol, 5) normetanephrine, and, 6) metanephrine. RESULTS Thirty-five individuals participated, 23 (65.7%) of them were women, age mean = 61.6 (standard deviation = 11.2) years, HbA1c mean = 8.5% (standard deviation = 1.6) and 20 participants (57.1%) used insulin. Twenty-two participants (62.9%) reported HFI and 25 (71.4%) had one or more abnormal ANS measure. Independent t-tests showed that participants with HFI had a higher ANS dysfunction index (mean = 1.5, standard deviation = 0.9) than patients who were food secure (mean = 0.7, standard deviation = 0.8), p = 0.02. Controlling for financial strain did not change significance. Total ANS index was not related to glycemia, insulin use or other socioeconomic indicators. In this sample, HFI was associated with ANS dysfunction. Policies to improve food access and affordability may benefit health outcomes for Latinos with diabetes.
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Affiliation(s)
- Angela Bermúdez-Millán
- Community Medicine and Health Care, School of Medicine, UConn Health, Farmington, CT, United States of America
| | - Richard Feinn
- School of Medicine, Medical Sciences, Quinnipiac University, Hamden, CT, United States of America
| | - Rachel Lampert
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States of America
| | - Rafael Pérez-Escamilla
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, United States of America
| | - Sofia Segura-Pérez
- Chief Program Officer, Hispanic Health Council, Hartford, CT, United States of America
| | - Julie Wagner
- Behavioral Sciences and Community Health, School of Dental Medicine, UConn Health, Farmington, CT, United States of America
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19
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Kong W, Xie Y, Hu J, Ding W, Cao C. Higher ultra processed foods intake is associated with low muscle mass in young to middle-aged adults: a cross-sectional NHANES study. Front Nutr 2024; 11:1280665. [PMID: 38439924 PMCID: PMC10909937 DOI: 10.3389/fnut.2024.1280665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 02/09/2024] [Indexed: 03/06/2024] Open
Abstract
Design Ultra-processed foods (UPFs) have become a pressing global health concern, prompting investigations into their potential association with low muscle mass in adults. Methods This cross-sectional study analyzed data from 10,255 adults aged 20-59 years who participated in the National Health and Nutritional Examination Survey (NHANES) during cycles spanning from 2011 to 2018. The primary outcome, low muscle mass, was assessed using the Foundation for the National Institutes of Health (FNIH) definition, employing restricted cubic splines and weighted multivariate regression for analysis. Sensitivity analysis incorporated three other prevalent definitions to explore optimal cut points for muscle quality in the context of sarcopenia. Results The weighted prevalence of low muscle mass was 7.65%. Comparing the percentage of UPFs calories intake between individuals with normal and low muscle mass, the values were found to be similar (55.70 vs. 54.62%). Significantly linear associations were observed between UPFs consumption and low muscle mass (P for non-linear = 0.7915, P for total = 0.0117). Upon full adjustment for potential confounding factors, participants with the highest UPFs intake exhibited a 60% increased risk of low muscle mass (OR = 1.60, 95% CI: 1.13 to 2.26, P for trend = 0.003) and a decrease in ALM/BMI (β = -0.0176, 95% CI: -0.0274 to -0.0077, P for trend = 0.003). Sensitivity analysis confirmed the consistency of these associations, except for the International Working Group on Sarcopenia (IWGS) definition, where the observed association between the highest quartiles of UPFs (%Kcal) and low muscle mass did not attain statistical significance (OR = 1.35, 95% CI: 0.97 to 1.87, P for trend = 0.082). Conclusion Our study underscores a significant linear association between higher UPFs consumption and an elevated risk of low muscle mass in adults. These findings emphasize the potential adverse impact of UPFs on muscle health and emphasize the need to address UPFs consumption as a modifiable risk factor in the context of sarcopenia.
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Affiliation(s)
- Weiliang Kong
- Key Laboratory of Respiratory Disease of Ningbo, Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Yilian Xie
- Department of Hepatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Jingjing Hu
- Key Laboratory of Respiratory Disease of Ningbo, Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Weiping Ding
- Key Laboratory of Respiratory Disease of Ningbo, Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Chao Cao
- Key Laboratory of Respiratory Disease of Ningbo, Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, China
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20
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Barbaresko J, Bröder J, Conrad J, Szczerba E, Lang A, Schlesinger S. Ultra-processed food consumption and human health: an umbrella review of systematic reviews with meta-analyses. Crit Rev Food Sci Nutr 2024:1-9. [PMID: 38363072 DOI: 10.1080/10408398.2024.2317877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Recently, ultra-processed foods received a lot of attention, but also criticism. Our aim was to provide an overview of the existing evidence of ultra-processed food consumption on human health. We conducted a systematic search in four databases until January 5th, 2024. Systematic reviews with meta-analyses on ultra-processed food consumption as defined by the NOVA classification system were included. The certainty of evidence was evaluated by the GRADE approach. We identified 16 publications. Moderate certainty of evidence was found for all-cause mortality (Summary Risk Ratio per 50 g: 1.02; 95% confidence Interval (CI): 1.01, 1.03), cardiovascular disease incidence and mortality (per 50 g/d: 1.04; 95% CI: 1.02, 1.06, and 1.05; 95% CI: 1.01, 1.08), type 2 diabetes incidence (per 10%: 1.12; 95% CI: 1.10, 1.13) and colorectal cancer (per 10%: 1.04; 95% CI: 1.01, 1.07). For several outcomes such as inflammatory bowel diseases, obesity, metabolic syndrome, nonalcoholic fatty liver disease, mental health as well as nutrient quality, similar estimates were observed, but certainty of evidence was limited. Discussing the NOVA concept, it remains unclear whether the processing of foods leads to increased health risks or if ultra-processed food consumption is only a measure for poor diet quality.
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Affiliation(s)
- Janett Barbaresko
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | | | | | - Edyta Szczerba
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany
| | - Alexander Lang
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany
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21
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Gomes FS, Rezende LF, Schlüssel M, Lawrence M, Machado P, Lane MM. Comment on Chen et al. Ultra-Processed Food Consumption and Risk of Type 2 Diabetes: Three Large Prospective U.S. Cohort Studies. Diabetes Care 2023;46:1335-1344. Diabetes Care 2024; 47:e22-e23. [PMID: 38241498 PMCID: PMC10834383 DOI: 10.2337/dc23-1837] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Affiliation(s)
| | - Leandro F.M. Rezende
- Department of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, Sao Paulo, Brazil
- Faculty of Health Sciences, Universidad Autónoma de Chile, Santiago, Chile
| | - Michael Schlüssel
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, U.K
| | - Mark Lawrence
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Science, Deakin University, Geelong, Victoria, Australia
| | - Priscila Machado
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Science, Deakin University, Geelong, Victoria, Australia
| | - Melissa M. Lane
- Food & Mood Centre, The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Victoria, Australia
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22
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Chen Z, Khandpur N, Drouin-Chartier JP. Response to Comment on Chen et al. Ultra-Processed Food Consumption and Risk of Type 2 Diabetes: Three Large Prospective U.S. Cohort Studies. Diabetes Care 2023;46:1335-1344. Diabetes Care 2024; 47:e24-e25. [PMID: 38241494 PMCID: PMC10834382 DOI: 10.2337/dci23-0088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Affiliation(s)
- Zhangling Chen
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- FuRong Laboratory, Changsha, Hunan, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Neha Khandpur
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Jean-Philippe Drouin-Chartier
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec, Canada
- Faculté de Pharmacie, Université Laval, Québec, Canada
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23
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Lv JL, Wei YF, Sun JN, Shi YC, Liu FH, Sun MH, Chang Q, Wu QJ, Zhao YH. Ultra-processed food consumption and metabolic disease risk: an umbrella review of systematic reviews with meta-analyses of observational studies. Front Nutr 2024; 11:1306310. [PMID: 38356860 PMCID: PMC10864658 DOI: 10.3389/fnut.2024.1306310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/17/2024] [Indexed: 02/16/2024] Open
Abstract
Background and aims There is an ongoing debate on whether to advocate reducing ultra-processed food (UPF) in dietary guidelines to control metabolic disease (such as obesity and type 2 diabetes mellitus [T2DM]). We aimed to summarize the evidence from systematic reviews with meta-analyses between UPF consumption and metabolic diseases risk, assess the credibility, and verify the robustness of these associations. Methods We systematically searched PubMed, Web of Science, Embase, and Cochrane Library databases from their inception to July 15, 2023, to identify relevant systematic reviews with meta-analyses. We used the random-effects model to evaluate the summary effect size, along with 95% confidence interval and prediction interval. We also assessed heterogeneity, evidence of small-study effects and excess significance bias, and categorized the credibility of each association based on quantitative umbrella review criteria. Additionally, we conducted subgroup and sensitivity analyses to assess the robustness of associations based on continents, study design, dietary assessment methods, definition methods of UPF, population, and units of UPF consumption. Results Overall, 6 systematic reviews with 13 meta-analyses were included. Three (23.08%) meta-analyses were classified as highly suggestive evidence for meeting the criteria that associations were significant at p < 10-6, had more than 1,000 cases, and presented the largest study with significance at p < 0.05. Among them, the highest UPF consumption quantile was associated with an increased risk of obesity (OR = 1.55, 95% CI: 1.36-1.77) when compared with the lowest UPF consumption quantile. The highest UPF consumption quantile was associated with an increased risk of T2DM (RR = 1.40, 95% CI: 1.23-1.59) when compared with the lowest UPF consumption quantile, and a 10% increase in UPF consumption (% g/d) was associated with an increased risk of T2DM (RR = 1.12, 95% CI: 1.10-1.13). Meanwhile, the robustness of these associations was verified by a series of subgroup and sensitivity analyses. Conclusion UPF consumption may be a risk factor for several metabolic diseases. However, well-designed studies are still needed to verify our findings in the future.
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Affiliation(s)
- Jia-Le Lv
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Nan Sun
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Chen Shi
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ming-Hui Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qing Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
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Vitale M, Costabile G, Testa R, D'Abbronzo G, Nettore IC, Macchia PE, Giacco R. Ultra-Processed Foods and Human Health: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. Adv Nutr 2024; 15:100121. [PMID: 38245358 PMCID: PMC10831891 DOI: 10.1016/j.advnut.2023.09.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 09/12/2023] [Accepted: 09/26/2023] [Indexed: 01/22/2024] Open
Abstract
Evidence of associations between ultra-processed foods (UPF) and increased risk of cardiovascular disease is emerging, but it is unclear how much this is influenced by the methodology used to assess the UPF intake or by the level of consumption. We conducted a meta-analysis to evaluate 1) the association between UPF consumption and risk of diabetes, hypertension, dyslipidemia, and obesity, using prospective cohort studies; 2) the differential associations depending on the methodology used to assess UPF intake and the level of UPF consumption and 3) the quality of evidence using the NutriGrade scoring system. A systematic literature search was conducted in PubMed/MEDLINE, ISI Web of Science, and Scopus through 1 April, 2023, on studies conducted in humans providing data for the highest compared with the lowest UPF consumption categories. Summary relative ratios (RRs) and 95% confidence intervals (95% CI) were estimated using a random-effects model. Out of 4522 articles retrieved from the literature search, 25 reports met the criteria for inclusion in the meta-analysis, 7 for diabetes, 5 for hypertension, 3 for dyslipidemia, and 13 for obesity. A consistently positive association between high UPF intake and increased risk of developing diabetes (37%), hypertension (32%), hypertriglyceridemia (47%), low HDL cholesterol concentration (43%), and obesity (32%) was observed, even if the quality of evidence was not satisfying. However, these risks varied significantly depending on the methodology used to assess UPF consumption, with a difference of more than 50% between the methods. Based on the level of intake, we did not observe significant differences in the results. These findings show that UPF consumption is associated with higher risk of diabetes, hypertension, dyslipidemia, and obesity, but the level of risk consistently changes depending on the methodology used to assess UPF intake. Therefore, caution should be used when interpreting and extrapolating the results.
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Affiliation(s)
- Marilena Vitale
- Department of Clinical Medicine and Surgery, Diabetes, Nutrition and Metabolism Unit, Federico II University of Naples, Italy.
| | - Giuseppina Costabile
- Department of Clinical Medicine and Surgery, Diabetes, Nutrition and Metabolism Unit, Federico II University of Naples, Italy
| | - Roberta Testa
- Department of Clinical Medicine and Surgery, Diabetes, Nutrition and Metabolism Unit, Federico II University of Naples, Italy
| | - Giovanna D'Abbronzo
- Department of Clinical Medicine and Surgery, Diabetes, Nutrition and Metabolism Unit, Federico II University of Naples, Italy
| | | | - Paolo Emidio Macchia
- Department of Clinical Medicine and Surgery, Federico II University of Naples, Italy
| | - Rosalba Giacco
- Department of Clinical Medicine and Surgery, Diabetes, Nutrition and Metabolism Unit, Federico II University of Naples, Italy; Institute of Food Sciences, National Research Council, Avellino, Italy
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25
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Grinshpan LS, Eilat-Adar S, Ivancovsky-Wajcman D, Kariv R, Gillon-Keren M, Zelber-Sagi S. Ultra-processed food consumption and non-alcoholic fatty liver disease, metabolic syndrome and insulin resistance: A systematic review. JHEP Rep 2024; 6:100964. [PMID: 38234408 PMCID: PMC10792654 DOI: 10.1016/j.jhepr.2023.100964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/12/2023] [Accepted: 10/31/2023] [Indexed: 01/19/2024] Open
Abstract
Background High ultra-processed food (UPF) consumption is associated with the development of various diet-related non-communicable diseases, especially obesity and type 2 diabetes. The present study aimed to systematically review the association between UPF consumption and non-alcoholic fatty liver disease (NAFLD) and its leading risk factors; metabolic syndrome (MetS) and insulin resistance (IR). Methods A comprehensive search was conducted in PubMed, Scopus, Embase, Web of Science, CINAHL, and Cochrane (March 2023), and references of the identified articles were checked. The search keywords were defined through an exploratory investigation in addition to MeSH and similarly controlled vocabulary thesauruses. Observational and interventional studies were included. Studies that focused only on specific groups of processed foods or overlapping dietary patterns were excluded. The quality assessment was conducted using the Joanna Briggs Institute's critical appraisal tools for observational studies and Cochrane's risk of bias 2 tool for randomized-control trials. A narrative synthesis was employed to report the results. Results Fifteen studies were included, with a total of 52,885 participants, one randomized-controlled trial, and fourteen observational studies (nine cross-sectional and five prospective). The review has shown a significant association between UPF consumption and NAFLD in three studies out of six, MetS in five out of eight, and IR in one out of three. All large-scale prospective cohorts that studied NAFLD or MetS outcomes demonstrated a positive association. In contrast, studies that did not demonstrate significant associations were mostly cross-sectional and small. The evidence for an association with IR was insufficient and conflicting. Conclusion The included studies are few, observational, and based upon self-reported dietary assessment tools. However, current evidence indicates that UPF is not only associated with obesity and type 2 diabetes but may also be a risk factor for NAFLD and MetS. UPF is a worldwide concern deserving further longitudinal research. Impact and implications Overconsumption of ultra-processed food (UPF) may lead to the development of obesity and type 2 diabetes, but the association with non-alcoholic fatty liver disease (NAFLD) is not well established. The present systematic review shows that UPF may be associated with NAFLD, although more large prospective studies are needed. These findings emphasize the importance of minimizing the consumption of UPF to prevent NAFLD and other metabolic diseases among the general adult population. This systematic review and further prospective studies, epidemiological or interventional, can help physicians provide patients with evidence-based nutritional recommendations and will support policymakers in restricting the marketing of UPF as well as promoting affordable, healthy, and minimally processed foods.
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Affiliation(s)
- Laura Sol Grinshpan
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
- Department of Gastroenterology Tel-Aviv Medical Center, Tel-Aviv, Israel
| | | | - Dana Ivancovsky-Wajcman
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
- Department of Gastroenterology Tel-Aviv Medical Center, Tel-Aviv, Israel
| | - Revital Kariv
- Department of Gastroenterology Tel-Aviv Medical Center, Tel-Aviv, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Michal Gillon-Keren
- Institute of Endocrinology and Diabetes, Schneider Children’s Medical Center, Petah Tikva, Israel
- Faculty of Sciences, Kibbutzim College of Education Technology and the Arts, Tel-Aviv, Israel
| | - Shira Zelber-Sagi
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
- Department of Gastroenterology Tel-Aviv Medical Center, Tel-Aviv, Israel
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26
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Cho Y, Ryu S, Kim R, Shin MJ, Oh H. Ultra-processed Food Intake and Risk of Type 2 Diabetes in Korean Adults. J Nutr 2024; 154:243-251. [PMID: 38007182 DOI: 10.1016/j.tjnut.2023.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/25/2023] [Accepted: 11/22/2023] [Indexed: 11/27/2023] Open
Abstract
BACKGROUND Several studies from the United States and European countries reported a positive association between ultra-processed food intake and diabetes risk. However, little is known about the association in Asian populations. It is also unknown about the individual ultra-processed food items that are most unfavorably associated with diabetes risk. OBJECTIVE We examined the associations of ultra-processed food intake (combined, as well as individual ultra-processed food items) with the risk of type 2 diabetes. METHODS This prospective analysis included 7438 participants aged 40-69 y from the Korean Genome and Epidemiology Study Ansan-Ansung cohort. Dietary intake was assessed at baseline using a 103-item semiquantitative food-frequency questionnaire. Ultra-processed foods were classified using the Nova definition. Incident type 2 diabetes cases were identified via follow-up interviews and health examination. Multivariable Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for potential confounders. RESULTS During the follow-up (2001-2019; median: 15 y), a total of 1187 type 2 diabetes cases were identified. Compared with the lowest quartile of ultra-processed food intake, the highest quartile was positively associated with diabetes risk [HR (95% CI) = 1.34 (1.13, 1.59), P-trend = 0.002]. The association did not change after additional adjustment for diet quality or BMI. Among individual ultra-processed food items, a higher consumption of ham/sausage [per 1% increase in the weight ratio: HR (95% CI) = 1.40 (1.05, 1.86)], instant noodles [1.07 (1.02, 1.11)], ice cream [1.08 (1.03, 1.13)], and carbonated beverages [1.02 (1.00, 1.04)] were associated with an increased risk of type 2 diabetes, whereas a higher intake of candy/chocolate was associated with a decreased risk [0.78 (0.62, 0.99)]. CONCLUSIONS Our data suggest that the high intake of ultra-processed foods, particularly ham/sausage, instant noodles, ice cream, and carbonated beverages, is associated with an increased risk of type 2 diabetes in Korean adults.
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Affiliation(s)
- Yoonkyoung Cho
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
| | - Seaun Ryu
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
| | - Rockli Kim
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea; Department of Health Policy and Management, Korea University, Seoul, Republic of Korea
| | - Min-Jeong Shin
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea; School of Biosystems and Biomedical Sciences, College of Health Science, Korea University, Seoul, Republic of Korea
| | - Hannah Oh
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea; Department of Health Policy and Management, Korea University, Seoul, Republic of Korea.
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Mendoza K, Tobias DK. Quantity and Quality of Evidence Are Sufficient: Prevalent Features of Ultraprocessed Diets Are Deleterious for Health. Adv Nutr 2024; 15:100157. [PMID: 38245357 PMCID: PMC10831941 DOI: 10.1016/j.advnut.2023.100157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 11/14/2023] [Accepted: 11/15/2023] [Indexed: 01/22/2024] Open
Affiliation(s)
- Kenny Mendoza
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
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Cordova R, Viallon V, Fontvieille E, Peruchet-Noray L, Jansana A, Wagner KH, Kyrø C, Tjønneland A, Katzke V, Bajracharya R, Schulze MB, Masala G, Sieri S, Panico S, Ricceri F, Tumino R, Boer JM, Verschuren W, van der Schouw YT, Jakszyn P, Redondo-Sánchez D, Amiano P, Huerta JM, Guevara M, Borné Y, Sonestedt E, Tsilidis KK, Millett C, Heath AK, Aglago EK, Aune D, Gunter MJ, Ferrari P, Huybrechts I, Freisling H. Consumption of ultra-processed foods and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study. THE LANCET REGIONAL HEALTH. EUROPE 2023; 35:100771. [PMID: 38115963 PMCID: PMC10730313 DOI: 10.1016/j.lanepe.2023.100771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 12/21/2023]
Abstract
Background It is currently unknown whether ultra-processed foods (UPFs) consumption is associated with a higher incidence of multimorbidity. We examined the relationship of total and subgroup consumption of UPFs with the risk of multimorbidity defined as the co-occurrence of at least two chronic diseases in an individual among first cancer at any site, cardiovascular disease, and type 2 diabetes. Methods This was a prospective cohort study including 266,666 participants (60% women) free of cancer, cardiovascular disease, and type 2 diabetes at recruitment from seven European countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Foods and drinks consumed over the previous 12 months were assessed at baseline by food-frequency questionnaires and classified according to their degree of processing using Nova classification. We used multistate modelling based on Cox regression to estimate cause-specific hazard ratios (HR) and their 95% confidence intervals (CI) for associations of total and subgroups of UPFs with the risk of multimorbidity of cancer and cardiometabolic diseases. Findings After a median of 11.2 years of follow-up, 4461 participants (39% women) developed multimorbidity of cancer and cardiometabolic diseases. Higher UPF consumption (per 1 standard deviation increment, ∼260 g/day without alcoholic drinks) was associated with an increased risk of multimorbidity of cancer and cardiometabolic diseases (HR: 1.09, 95% CI: 1.05, 1.12). Among UPF subgroups, associations were most notable for animal-based products (HR: 1.09, 95% CI: 1.05, 1.12), and artificially and sugar-sweetened beverages (HR: 1.09, 95% CI: 1.06, 1.12). Other subgroups such as ultra-processed breads and cereals (HR: 0.97, 95% CI: 0.94, 1.00) or plant-based alternatives (HR: 0.97, 95% CI: 0.91, 1.02) were not associated with risk. Interpretation Our findings suggest that higher consumption of UPFs increases the risk of cancer and cardiometabolic multimorbidity. Funding Austrian Academy of Sciences, Fondation de France, Cancer Research UK, World Cancer Research Fund International, and the Institut National du Cancer.
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Affiliation(s)
- Reynalda Cordova
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Emma Fontvieille
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | | | - Anna Jansana
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Karl-Heinz Wagner
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Cecilie Kyrø
- Danish Cancer Institute Center, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Institute Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rashmita Bajracharya
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, Centre for Biostatistics, Epidemiology, and Public Health, University of Turin, Italy
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE ONLUS Ragusa, Italy
| | - Jolanda M.A. Boer
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - W.M.Monique Verschuren
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
- Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Daniel Redondo-Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada 18011, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, Granada 18012, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Pilar Amiano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain
- Bio Gipuzkoa Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain
| | - José María Huerta
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council-IMIB, Murcia, Spain
| | - Marcela Guevara
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Salud Pública y Laboral de Navarra, Pamplona 31003, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona 31008, Spain
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, The Faculty of Medicine, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, The Faculty of Medicine, Lund University, Malmö, Sweden
| | - Konstantinos K. Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Elom K. Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Nutrition, Oslo New University College, Oslo, Norway
- Department of Research, The Cancer Registry of Norway, Oslo, Norway
| | - Marc J. Gunter
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Inge Huybrechts
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
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Vincze F, Muka T, Eichelmann F, Llanaj E. Eating out intensity, ultra-processed foods and BMI among Albanian youth. Public Health Nutr 2023; 26:2953-2962. [PMID: 37842793 PMCID: PMC10755451 DOI: 10.1017/s1368980023002173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 08/31/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE Ultra-processed foods (UPF) and eating out of home (OH) are changing nutrition, particularly among youth in constrained settings. We aimed to assess the role of eating OH intensity on the associations of UPF and unprocessed or minimally processed foods (UMPF) with BMI among Albanian youth. DESIGN Cross-sectional. SETTING Albania, a south-eastern European country. PARTICIPANTS 281 youth, predominantly females. METHODS UPF and UMPF were defined based on NOVA, while eating OH intensity based on energy percentage from OH foods. Multivariable models tested associations of UPF and UMPF with BMI stratified by eating OH intensity, controlled for relevant covariates including diet quality, portion size and costs. RESULTS The respondents age ranged between 18 and 23 years with a female predominance (87·5 %). Mean energy from UPF and UMPF was 846 (sd: 573·0) and 802·9 (422·5) kcals, respectively. Among substantial at home eaters UPF intake was not associated (β = −0·07, 95 % CI (−0·13, 0·267)) with BMI; however, UMPF negatively associated with BMI (β = −0·24, 95 % CI (−0·43, −0·06)). Among those defined as substantial OH eaters, UPF (β = 0·24, 95 % CI (0·08, 0·40)) and UMPF (β = 0·18, 95 % CI (0·04, 0·33)) were positively associated with BMI. CONCLUSIONS Our findings provide evidence for the hypothesis that eating OH plays an important role in the association of UPF and UMPF with BMI in youth. While causality cannot be established due to cross-sectional design, to the best of our knowledge, we provide the first assessment of UPF and UMPF intake in a south-eastern European setting, while highlighting the need for establishing and integrating youth nutrition into national nutritional surveillance systems for key dietary risk factors in Albania.
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Affiliation(s)
- Ferenc Vincze
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Taulant Muka
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Meta-Research Innovation Centre at Stanford (METRICS), Stanford University, Stanford, CA, USA
- Epistudia, Bern, Switzerland
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, Nuthetal, 14558, Germany
- German Centre for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Erand Llanaj
- Epistudia, Bern, Switzerland
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, Nuthetal, 14558, Germany
- German Centre for Diabetes Research (DZD), München-Neuherberg, Germany
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Sharma S, Di Castelnuovo A, Cerletti C, Donati MB, de Gaetano G, Iacoviello L, Bonaccio M. Diet Quality and Risk of SARS-CoV-2 Infection or COVID-19: A Systematic Review of Observational Studies. Adv Nutr 2023; 14:1596-1616. [PMID: 37748553 PMCID: PMC10721534 DOI: 10.1016/j.advnut.2023.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/28/2023] [Accepted: 09/07/2023] [Indexed: 09/27/2023] Open
Abstract
The COVID-19 pandemic highlighted the importance of healthy diets in the management of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and COVID-19. Evidence suggests the influence of diet and dietary patterns during post-COVID-19, and the impact of the COVID-19 pandemic on dietary habits and quality. However, limited evidence lies on the association between a healthy diet, and risk of SARS-CoV-2 infection or COVID-19. This study aimed to conduct a systematic review of observational studies to examine the association between diet quality, and the risk of SARS-CoV-2 infection or COVID-19 among adult populations. 6158 research articles from Scopus, EMBASE, PubMed, and MEDLINE databases were identified for eligibility. Only observational studies were included. Study quality was assessed using the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Thirteen studies were included (4 with SARS-CoV-2 infection and 9 with COVID-19 as the outcome); 3 were case-control, 3 were cross-sectional, and 7 were prospective studies. Adherence to Mediterranean diet was examined as exposure in 7 studies, and was associated with decreased risk of SARS-CoV-2 infection in 2 studies, with estimates varying from 12% to 22%, while COVID-19 risk or severity was found to be reduced in 3 studies with odds ratios (ORs) ranging from 36% to 77%. The Dietary Approaches to Stop Hypertension diet was inversely associated with COVID-19 hospitalization (OR: 0.19; 95% CI: 0.07, 0.55), whereas a healthy plant-based diet had an inverse association with both COVID-19 infection (hazard ratio [HR]: 0.91; 95% CI: 0.88, 0.94) and severity (HR: 0.59; 95% CI: 0.47, 0.74). Studies examining individual food groups generally found lower risk of infection or COVID-19 in association with larger dietary intakes of fruits, vegetables, and fiber. The overall findings of the observational studies in this review support the concept that nutritious diets might lower the risk of SARS-CoV-2 infection or COVID-19. This study was registered at PROSPERO as CRD42023397371.
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Affiliation(s)
- Sukshma Sharma
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | | | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | | | - Giovanni de Gaetano
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy; Research Center in Epidemiology and Preventive Medicine - EPIMED, Department of Medicine and Surgery, University of Insubria, Varese, Italy.
| | - Marialaura Bonaccio
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
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Touvier M, da Costa Louzada ML, Mozaffarian D, Baker P, Juul F, Srour B. Ultra-processed foods and cardiometabolic health: public health policies to reduce consumption cannot wait. BMJ 2023; 383:e075294. [PMID: 37813465 PMCID: PMC10561017 DOI: 10.1136/bmj-2023-075294] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/12/2023]
Affiliation(s)
- Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), Bobigny, France
| | | | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Phillip Baker
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
| | - Filippa Juul
- Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA
| | - Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), Bobigny, France
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32
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Duncan BB, Schmidt MI. Many years of life lost to young-onset type 2 diabetes. Lancet Diabetes Endocrinol 2023; 11:709-710. [PMID: 37708899 DOI: 10.1016/s2213-8587(23)00255-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 08/15/2023] [Indexed: 09/16/2023]
Affiliation(s)
- Bruce B Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil.
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil
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Wang L, Pan XF, Munro HM, Shrubsole MJ, Yu D. Consumption of ultra-processed foods and all-cause and cause-specific mortality in the Southern Community Cohort Study. Clin Nutr 2023; 42:1866-1874. [PMID: 37625316 PMCID: PMC10528155 DOI: 10.1016/j.clnu.2023.08.012] [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: 03/18/2023] [Revised: 07/25/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023]
Abstract
BACKGROUND & AIMS Higher intake of ultra-processed foods (UPF) has been linked with higher risks of cancer, cardiovascular disease, and diabetes, as well as all-cause mortality. However, studies on UPF and cause-specific mortality remain limited, especially among disadvantaged populations. We aimed to examine associations of UPF intake with all-cause and cause-specific mortality among low-income Americans. METHODS In the Southern Community Cohort Study (SCCS), a prospective cohort of mostly low-income Black and White Americans, we included 77,060 participants who completed a food frequency questionnaire (FFQ) at baseline (2002-2009) and had at least 1 year follow-up. All 89 items in the FFQ were categorized using the Nova classification. UPF intake was calculated as % of daily foods intake by weight (grams). Cox regression was used to estimate HR (95% CI) for the association of UPF intake (quartile or per 10% increase) with total and cause-specific mortality (cancer, coronary heart disease [CHD], stroke, and diabetes) after adjusting for sociodemographics, lifestyles, and disease history. RESULTS Of 77,060 participants, 46,175 (59.9%) were women, 49,857 were Black (64.7%), and mean age was 52.4 (SD: 8.8) years at baseline. The mean intake of UPF was 41.0% (SD: 15.7%). UPF intake was inversely associated with Healthy Eating Index and intakes of fiber, minerals, and vitamins but positively associated with intakes of sugars and fats (all PFDR<0.0001). During an average follow-up of 12.2 years, we documented 17,895 total deaths, including 4267 from cancer, 2208 from CHD, 867 from stroke, and 997 from diabetes. In the fully adjusted model, higher UPF intake was not associated with all-cause, cancer, CHD, or stroke mortality but showed a significant association with increased diabetes mortality (HR [95% CI] = 1.32 [1.07, 1.62] for the highest versus lowest quartiles [>51.1% vs. <29.3%] and 1.09 [1.04, 1.15] per 10% increase). The adverse UPF-diabetes mortality association was noted regardless of sex, race, income, neighborhood deprivation, lifestyles, and cardiometabolic disease history, while particularly evident in participants with no more than high school education or a history of hypercholesterolemia (HR [95% CI] per 10% increase = 1.12 [1.05, 1.18] and 1.14 [1.07, 1.22], respectively; both Pinteraction<0.05). CONCLUSIONS Among predominantly low-income Black and White American adults, UPF intake was associated with increased diabetes mortality, especially for individuals with limited education or hypercholesterolemia. Our findings suggest the potential impact of increasing access and intake of un/minimally processed food to replace UPF on reducing diabetes-related mortality among populations facing socioeconomic and health disparities.
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Affiliation(s)
- Lei Wang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Xiong-Fei Pan
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Heather M Munro
- International Epidemiology Field Station, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Martha J Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; International Epidemiology Field Station, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
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Bonaccio M, Di Castelnuovo A, Costanzo S, Ruggiero E, Esposito S, Persichillo M, Cerletti C, Donati MB, de Gaetano G, Iacoviello L. Ultraprocessed food consumption is associated with all-cause and cardiovascular mortality in participants with type 2 diabetes independent of diet quality: a prospective observational cohort study. Am J Clin Nutr 2023; 118:627-636. [PMID: 37506883 DOI: 10.1016/j.ajcnut.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/30/2023] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Nutritional strategies for prevention and management of type 2 diabetes traditionally emphasize dietary patterns reflecting nutrient goals, but the health implications of ultraprocessed food (UPF) for patients with type 2 diabetes remain unknown. OBJECTIVES This study aimed to evaluate the association of UPF intake with all-cause and cardiovascular disease (CVD) mortality among participants with type 2 diabetes from the Moli-sani Study in Italy (enrollment 2005-2010). METHODS This was a prospective observational cohort study on 1065 individuals with type 2 diabetes at baseline, followed up for 11.6 y (median). Food intake was assessed by a 188-item food-frequency questionnaire. UPF was defined following the Nova classification and calculated as the ratio (weight ratio; %) between UPF (g/d) and total food eaten (g/d). Overall diet quality was assessed through the Mediterranean Diet Score (MDS). Multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. RESULTS The average UPF consumption was 7.4% (±5.0%). In multivariable-adjusted Cox analyses, greater UPF intake (Q4, ≥10.5% and ≥9% of total food eaten for females and males, respectively), as opposed to the lowest (Q1, UPF <4.7% and <3.7% for females and males, respectively), was associated with higher hazards of both all-cause (HR: 1.70; 95% CI: 1.25, 2.33) and CVD mortality (HR: 2.64; 95% CI: 1.59, 4.40); inclusion of the MDS into the model did not substantially alter the magnitude of these associations (HR: 1.64; 95% CI: 1.19, 2.25 and HR: 2.55; 95% CI: 1.53, 4.24 for all-cause and CVD mortality, respectively). A linear dose-response relationship of UPF intake with both all-cause and CVD mortality was also observed. CONCLUSIONS In participants with type 2 diabetes at study entry, higher UPF consumption was associated with reduced survival and higher CVD mortality rate, independent of diet quality. Besides prioritizing the adoption of a diet based on nutritional requirements, dietary guidelines for the management of type 2 diabetes should also recommend limiting UPF.
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Affiliation(s)
- Marialaura Bonaccio
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy.
| | | | - Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | - Emilia Ruggiero
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | - Simona Esposito
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | | | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | | | - Giovanni de Gaetano
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy; Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, Varese, Italy
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Calvo MS, Dunford EK, Uribarri J. Industrial Use of Phosphate Food Additives: A Mechanism Linking Ultra-Processed Food Intake to Cardiorenal Disease Risk? Nutrients 2023; 15:3510. [PMID: 37630701 PMCID: PMC10459924 DOI: 10.3390/nu15163510] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/04/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023] Open
Abstract
The consumption of ultra-processed food (UPF) keeps rising, and at the same time, an increasing number of epidemiological studies are linking high rates of consumption of UPF with serious health outcomes, such as cardiovascular disease, in the general population. Many potential mechanisms, either in isolation or in combination, can explain the negative effects of UPF. In this review, we have addressed the potential role of inorganic phosphate additives, commonly added to a wide variety of foods, as factors contributing to the negative effects of UPF on cardiorenal disease. Inorganic phosphates are rapidly and efficiently absorbed, and elevated serum phosphate can lead to negative cardiorenal effects, either directly through tissue/vessel calcification or indirectly through the release of mineral-regulating hormones, parathyroid hormone, and fibroblast growth factor-23. An association between serum phosphate and cardiovascular and bone disease among patients with chronic kidney disease is well-accepted by nephrologists. Epidemiological studies have demonstrated an association between serum phosphate and dietary phosphate intake and mortality, even in the general American population. The magnitude of the role of inorganic phosphate additives in these associations remains to be determined, and the initial step should be to determine precise estimates of population exposure to inorganic phosphate additives in the food supply.
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Affiliation(s)
- Mona S. Calvo
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
| | - Elizabeth K. Dunford
- The George Institute for Global Health, University of New South Wales, Sydney, NSW 2042, Australia;
- Department of Nutrition, Gillings Global School of Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jaime Uribarri
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
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Vadiveloo MK, Gardner CD. Not All Ultra-Processed Foods Are Created Equal: A Case for Advancing Research and Policy That Balances Health and Nutrition Security. Diabetes Care 2023; 46:1327-1329. [PMID: 37339348 DOI: 10.2337/dci23-0018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 04/14/2023] [Indexed: 06/22/2023]
Affiliation(s)
- Maya K Vadiveloo
- 1Department of Nutrition and Food Sciences, University of Rhode Island, Kingston, RI
| | - Christopher D Gardner
- 2Stanford Prevention Research Center, School of Medicine, Stanford University, Palo Alto, CA
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Bolling BW. Anthocyanins and health: Are fruit and vegetable dietary recommendations outdated in the context of ultraprocessed foods? Nutr Res 2023; 115:61-62. [PMID: 37336041 DOI: 10.1016/j.nutres.2023.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 05/25/2023] [Indexed: 06/21/2023]
Affiliation(s)
- Bradley W Bolling
- Department of Food Science, University of Wisconsin-Madison, Madison, Wisconsin 53706
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