Dysregulated iron metabolism-associated dietary pattern predicts an altered body composition and metabolic syndrome

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Anggun Rindang Cempaka, Sung-Hui Tseng, Kuo-Ching Yuan, Chyi-Huey Bai, Alexey A. Tinkov, Anatoly V. Skalny, Jung-Su Chang

2019 Nutrients Vol. 11 Issue 11 Article Cited by 14 Quartile

Abstract

Diet plays an important role in the development of obesity and may contribute to dysregulated iron metabolism (DIM). A cross-sectional survey of 208 adults was conducted in Taipei Medical University Hospital (Taipei, Taiwan). A reduced-rank regression from 31 food groups was used for a dietary pattern analysis. DIM was defined as at least four of the following criteria: serum hepcidin (men >200 ng/mL and women >140 ng/mL), hyperferritinemia (serum ferritin of >300 ng/mL in men and >200 ng/mL in women), central obesity, non-alcoholic fatty liver disease, and two or more abnormal metabolic profiles. Compared to non-DIM patients, DIM patients were associated with an altered body composition and had a 4.52-fold (95% confidence interval (CI): (1.95–10.49); p < 0.001) greater risk of metabolic syndrome (MetS) after adjusting for covariates. A DIM-associated dietary pattern (high intake of deep-fried food, processed meats, chicken, pork, eating out, coffee, and animal fat/skin but low intake of steamed/boiled/raw foods and dairy products) independently predicted central obesity (odds ratio (OR): 1.57; 95% CI: 1.05–2.34; p < 0.05) and MetS (OR: 1.89; 95% CI: 1.07–3.35; p < 0.05). Individuals with the highest DIM pattern scores (tertile 3) had a higher visceral fat mass (%) (β = 0.232; 95% CI: 0.011–0.453; p < 0.05) but lower skeletal muscle mass (%) (β = −1.208; 95% CI: −2.177–−0.239; p < 0.05) compared to those with the lowest DIM pattern scores (tertile 1). In conclusion, a high score for the identified DIM-associated dietary pattern was associated with an unhealthier body composition and a higher risk of MetS. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

Affiliations

Department of Nutrition Science, Faculty of Medicine, Brawijaya University, Malang, 65145, Indonesia; School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, 110, Taiwan; Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei, 110, Taiwan; Department of Physical Medicine and Rehabilitation, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 110, Taiwan; Department of Emergency and Critical Care Medicine, Taipei Medical University Hospital, Taipei, 110, Taiwan; Department of Public Health, College of Medicine, Taipei Medical University, Taipei, 110, Taiwan; Department of Public Health, College of Public Health, Taipei Medical University, Taipei, 110, Taiwan; Department of Medical Elementology, Peoples’ Friendship, University of Russia, RUDN University), Moscow, 117198, Russian Federation; Laboratory of Biotechnology and Applied Bioelementology, Yaroslavl State University, Yaroslavl, 150003, Russian Federation; Laboratory of Molecular Dietology, IM Sechenov First Moscow State Medical University, Moscow, 119146, Russian Federation; Graduate Institute of Metabolism and Obesity Sciences, College of Nutrition, Taipei Medical University, Taipei, 110, Taiwan; Nutrition Research Center, Taipei Medical University Hospital, Taipei, 110, Taiwan; Chinese Taipei Society for the Study of Obesity (CTSSO), Taipei, 11031, Taiwan