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Association of dietary inflammatory index with metabolic profile in metabolically healthy and unhealthy obese people
Author(s) -
Abdurahman Ahmed A.,
Azadbakhat Leila,
Rasouli Mahkameh,
Chamari Maryam,
Qorbani Mostafa,
Dorosty Ahmed R.
Publication year - 2019
Publication title -
nutrition and dietetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.479
H-Index - 31
eISSN - 1747-0080
pISSN - 1446-6368
DOI - 10.1111/1747-0080.12482
Subject(s) - quartile , medicine , odds ratio , obesity , confounding , logistic regression , abdominal obesity , phenotype , body mass index , metabolic syndrome , endocrinology , physiology , biology , confidence interval , genetics , gene
Aim Obesity is an emerging public health problem, with its incidence on the rise. An abnormal metabolic profile is a risk factor for developing obesity. Dietary factors play a central role in the regulation of inflammation and obesity. The aim of the present study was to determine the prevalence of metabolically healthy obese and metabolically unhealthy obese (MUO) phenotypes, and their association with dietary inflammatory index (DII) among obese Iranian people. Methods A cross‐sectional study was conducted from July to October 2017 among 300 obese participants in southern Tehran. DII scores were computed based on the overall inflammatory properties of 32 dietary components using dietary intake assessed by food frequency questionnaire. MUO phenotype was defined as having three or more of these metabolic abnormalities: high blood glucose, high triglycerides, low high‐density lipoprotein cholesterol, elevated blood pressure or abdominal obesity. The association was determined using logistic regression analysis. Results The MUO phenotype (n = 176) was found in 63.5% of obese participants. Compared with participants in the first quartile, those in the fourth quartile of DII score (more pro‐inflammatory diet) had higher odds of MUO phenotype (odds ratio, OR: 2.58 (95% CI: 1.19–5.59), P = 0.04), and there was a significant association between the continuous form of DII score and the odds of MUO phenotype (OR: 1.18 (95% CI: 1.01–1.37)) after adjusting for potential confounders. Conclusions Higher DII scores were positively associated with the MUO phenotype. A more pro‐inflammatory diet is a potential risk factor for MUO phenotype.