The association of ultra-processed food intake on age-related muscle conditions: a systematic review and dose–response meta-analysis with meta-regression

Veronese N, Ragusa FS, Pegreffi F, Dominguez LJ, Barbagallo M, Zanetti M, et al. Sarcopenic obesity and health outcomes: an umbrella review of systematic reviews with meta-analysis. J Cachexia Sarcopenia Muscle. 2024;15(4):1264–74.

Google Scholar 

Kirk B, Cawthon PM, Arai H, Ávila-Funes JA, Barazzoni R, Bhasin S, Binder EF, Bruyere O, Cederholm T, Chen LK, Cooper C. The conceptual definition of sarcopenia: Delphi consensus from the Global Leadership Initiative in Sarcopenia (GLIS). Age Ageing. 2024;53(3):afae052.

Google Scholar 

Pabla P, Jones EJ, Piasecki M, Phillips BE. Skeletal muscle dysfunction with advancing age. Clin Sci. 2024;138(14):863–82.

CAS  Google Scholar 

Fielding RA. Sarcopenia: an emerging syndrome of advancing age. Calcif Tissue Int. 2024;114(1):1–2.

CAS  Google Scholar 

Kim DH, Rockwood K. Frailty in older adults. N Engl J Med. 2024;391(6):538–48.

Google Scholar 

Kerminen H, Marzetti E, D’Angelo E. Biological and physical performance markers for early detection of cognitive impairment in older adults. J Clin Med. 2024;13(3):806.

CAS  Google Scholar 

Stockman J. Nutrition and aging in dogs and cats. Nutrition and Metabolism of Dogs and Cats: Springer; 2024. p. 203–15.

Google Scholar 

Yoshida S, Shiraishi R, Nakayama Y, Taira Y. Can nutrition contribute to a reduction in sarcopenia, frailty, and comorbidities in a super-aged society? Nutrients. 2023;15(13):2991.

Google Scholar 

Choi J, Augenlicht LH. Intestinal stem cells: guardians of homeostasis in health and aging amid environmental challenges. Exp Mol Med. 2024;56(3):495–500.

CAS  Google Scholar 

Kassis A, Fichot M-C, Horcajada M-N, Horstman AM, Duncan P, Bergonzelli G, et al. Nutritional and lifestyle management of the aging journey: a narrative review. Front Nutr. 2023;9:1087505.

Google Scholar 

Bagheri A, Hashemi R, Soltani S, Heshmat R, Dorosty Motlagh A, Larijani B, et al. The relationship between food-based pro-inflammatory diet and Sarcopenia: findings from a cross-sectional study in Iranian elderly people. Front Med (Lausanne). 2021;8:649907.

Google Scholar 

Mansouri F, Jafari F, Ranjbar S, Souni F, Jahromi SE, Shateri Z, et al. Dietary inflammatory index could increase the risk of sarcopenia in patients with chronic kidney disease. Sci Rep. 2024;14(1):15284.

CAS  Google Scholar 

Rondinella D, Raoul PC, Valeriani E, Venturini I, Cintoni M, Severino A, et al. The detrimental impact of ultra-processed foods on the human gut microbiome and gut barrier. Nutrients. 2025;17(5):859.

CAS  Google Scholar 

Dicken SJ, Qamar S, Batterham RL. Who consumes ultra-processed food? A systematic review of sociodemographic determinants of ultra-processed food consumption from nationally representative samples. Nutrition research reviews. 2023;1–41.

Visioli F, Marangoni F, Fogliano V, Del Rio D, Martinez JA, Kuhnle G, et al. The ultra-processed foods hypothesis: a product processed well beyond the basic ingredients in the package. Nutr Res Rev. 2023;36(2):340–50.

CAS  Google Scholar 

Rauber F, Louzada ML, Steele EM, Millett C, Monteiro CA, Levy RB. Ultra-processed food consumption and chronic non-communicable diseases-related dietary nutrient profile in the UK (2008–2014). Nutrients. 2018;10(5):587.

Google Scholar 

Moradi S, Hojjati Kermani MA, Bagheri R, Mohammadi H, Jayedi A, Lane MM, Asbaghi O, Mehrabani S, Suzuki K. Ultra-processed food consumption and adult diabetes risk: a systematic review and dose-response meta-analysis. Nutrients. 2021;13(12):4410.

Google Scholar 

Suksatan W, Moradi S, Naeini F, Bagheri R, Mohammadi H, Talebi S, et al. Ultra-processed food consumption and adult mortality risk: a systematic review and dose–response meta-analysis of 207,291 participants. Nutrients. 2021;14(1):174.

Google Scholar 

Moradi S, Entezari MH, Mohammadi H, Jayedi A, Lazaridi AV, Kermani MA, Miraghajani M. Ultra-processed food consumption and adult obesity risk: a systematic review and dose-response meta-analysis. Critic Rev Food Sci Nutrition. 2022;63(2):249–60.

Google Scholar 

Mazloomi SN, Talebi S, Mehrabani S, Bagheri R, Ghavami A, Zarpoosh M, et al. The association of ultra-processed food consumption with adult mental health disorders: a systematic review and dose-response meta-analysis of 260,385 participants. Nutr Neurosci. 2023;26(10):913–31.

Google Scholar 

Babaei A, Pourmotabbed A, Talebi S, Mehrabani S, Bagheri R, Ghoreishy SM, et al. The association of ultra-processed food consumption with adult inflammatory bowel disease risk: a systematic review and dose-response meta-analysis of 4 035 694 participants. Nutr Rev. 2024;82(7):861–71.

Google Scholar 

Talebi S, Mehrabani S, Ghoreishy SM, Wong A, Moghaddam A, Feyli PR, et al. The association between ultra-processed food and common pregnancy adverse outcomes: a dose-response systematic review and meta-analysis. BMC Pregnancy Childbirth. 2024;24(1):369.

Google Scholar 

Hojjati Kermani MA, Awlqadr FH, Talebi S, Mehrabani S, Ghoreishy SM, Wong A, et al. Ultra-processed foods and risk of declined renal function: a dose–response meta-analysis of 786,216 participants. J Health Popul Nutr. 2025;44(1):79.

Google Scholar 

Pourmotabbed A, Talebi S, Mehrabani S, Babaei A, Khosroshahi RA, Bagheri R, et al. The association of ultra-processed food intake with neurodegenerative disorders: a systematic review and dose-response meta-analysis of large-scale cohorts. Nutr Neurosci. 2025;28(1):73–86.

Google Scholar 

Hashemi R, Motlagh AD, Heshmat R, Esmaillzadeh A, Payab M, Yousefinia M, et al. Diet and its relationship to sarcopenia in community dwelling Iranian elderly: a cross sectional study. Nutrition. 2015;31(1):97–104.

Google Scholar 

León-Muñoz LM, García-Esquinas E, López-García E, Banegas JR, Rodríguez-Artalejo F. Major dietary patterns and risk of frailty in older adults: a prospective cohort study. BMC Med. 2015;13(1):1–9.

Google Scholar 

Barrea L, Muscogiuri G, Di Somma C, Tramontano G, De Luca V, Illario M, et al. Association between Mediterranean diet and hand grip strength in older adult women. Clin Nutr. 2019;38(2):721–9.

Google Scholar 

Lopez-Garcia E, Hagan KA, Fung TT, Hu FB, Rodriguez-Artalejo F. Mediterranean diet and risk of frailty syndrome among women with type 2 diabetes. Am J Clin Nutr. 2018;107(5):763–71.

Google Scholar 

Fanelli Kuczmarski M, Mason MA, Beydoun MA, Allegro D, Zonderman AB, Evans MK. Dietary patterns and sarcopenia in an urban African American and White population in the United States. J Nutrition Gerontol Geriatr. 2013;32(4):291–316.

Google Scholar 

Mohseni R, Aliakbar S, Abdollahi A, Yekaninejad MS, Maghbooli Z, Mirzaei K. Relationship between major dietary patterns and sarcopenia among menopausal women. Aging Clin Exp Res. 2017;29:1241–8.

Google Scholar 

Granic A, Sayer AA, Robinson SM. Dietary patterns, skeletal muscle health, and Sarcopenia in older adults. Nutrients. 2019;11(4):745.

Google Scholar 

Struijk EA, Rodriguez-Artalejo F, Fung TT, Willett WC, Hu FB, Lopez-Garcia E. Sweetened beverages and risk of frailty among older women in the Nurses’ Health Study: a cohort study. PLoS Med. 2020;17(12):e1003453.

Google Scholar 

O’Connell ML, Coppinger T, Lacey S, Walton J, Arsenic T, McCarthy AL. Associations between food group intake and physical frailty in Irish community-dwelling older adults. Nutrition Metab Insights. 2021;14:11786388211006448.

Google Scholar 

Lane MM, Davis JA, Beattie S, Gómez-Donoso C, Loughman A, O’Neil A, et al. Ultraprocessed food and chronic noncommunicable diseases: a systematic review and meta-analysis of 43 observational studies. Obes Rev. 2021;22(3):e13146.

Google Scholar 

Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.

Google Scholar 

Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146–57.

CAS  Google Scholar 

Chen LK, Woo J, Assantachai P, Auyeung TW, Chou MY, Iijima K, Jang HC, Kang L, Kim M, Kim S, Kojima T. Asian Working Group for Sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Direct Assoc. 2020;21(3):300–7.

Google Scholar 

Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: report of the European working group on Sarcopenia in older people. Age Ageing. 2010;39(4):412–23.

Google Scholar 

Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Oxford; 2000.

Symons M, Moore D. Hazard rate ratio and prospective epidemiological studies. J Clin Epidemiol. 2002;55(9):893–9.

CAS  Google Scholar 

DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177–88.

CAS  Google Scholar 

Chandler J, Cumpston M, Li T, Page MJ, Welch V. Cochrane handbook for systematic reviews of interventions. Hoboken: Wiley; 2019. p. 4.

Google Scholar 

Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;1088–101.

Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.

CAS  Google Scholar 

Berlin JA, Longnecker MP, Greenland S. Meta-analysis of epidemiologic dose-response data. Epidemiology. 1993;4(3):218–28.

CAS  Google Scholar 

Orsini N, Bellocco R, Greenland S. Generalized least squares for trend estimation of summarized dose–response data. Stata J. 2006;6(1):40–57.

Google Scholar 

Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650):924–6.

Google Scholar 

Huang CH, Martins BA, Okada K, Matsushita E, Uno C, Satake S, et al. A 3-year prospective cohort study of dietary patterns and frailty risk among community-dwelling older adults. Clin Nutr. 2021;40(1):229–36.

CAS  Google Scholar 

Moravejolahkami AR, Paknahad Z, Chitsaz A. Association of dietary patterns with systemic inflammation, quality of life, disease severity, relapse rate, severity of fatigue and anthropometric measurements in MS patients. Nutr Neurosci. 2020;23(12):920–30.

Google Scholar 

Rolf K, Pietruszka B, Baran I, Jaworska G. Prevalence of frailty syndrome and nutritional risk among elderly people attending day care senior centres. Zywnosc Nauka Technologia Jakosc/Food Sci Technol Quality. 2020;27(1):137–47.

Google Scholar 

Struijk EA, Beulens JWJ, May AM, Fransetz HP, Boer JMA, de Wit GA, et al. Dietary patterns in relation to disease burden expressed in disability-adjusted life years. Am J Clin Nutr. 2014;100(4):1158–65.

CAS  Google Scholar 

Kinoshita K, Satake S, Arai H. Impact of frailty on dietary habits among community-dwelling older persons during the COVID-19 pandemic in Japan. J Frailty Aging. 2022;11(1):109–14.

CAS  Google Scholar 

Shahinfar H, Safabakhsh M, Babaei N, Ebaditabar M, Davarzani S, Amini MR, et al. Association of major dietary patterns with muscle strength and muscle mass index in middle-aged men and women: Results from a cross-sectional study. Clin Nutrition Espen. 2020;39:215–21.

Google Scholar 

Yaghi N, Yaghi C, Abifadel M, Boulos C, Feart C. Dietary patterns and risk factors of frailty in Lebanese older adults. Nutrients. 2021;13(7):2188.

CAS  Google Scholar 

Davis JA, Mohebbi M, Collier F, Loughman A, Shivappa N, Hébert JR, Pasco JA, Jacka FN. Diet quality and a traditional dietary pattern predict lean mass in Australian women: longitudinal data from the Geelong Osteoporosis Study. Prevent Med Rep. 2021;21:101316.

Google Scholar 

Mazza E, Ferro Y, Maurotti S, Micale F, Boragina G, Russo R, et al. Association of dietary patterns with sarcopenia in adults aged 50 years and older. Eur J Nutr. 2024;63(5):1651–62.

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