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Association between Obesity and Intake of Different Food Groups among Japanese with Type 2 Diabetes Mellitus—Japan Diabetes Clinical Data Management Study (JDDM68)

Background: We investigated the association between various food groups and obesity in Japanese patients with type 2 diabetes. Methods: 2070 patients with type 2 diabetes who attended 26 diabetes clinics throughout Japan were analyzed and were divided into obese and non-obese groups. Intakes of food...

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Autores principales: Hatta, Mariko, Horikawa, Chika, Takeda, Yasunaga, Ikeda, Izumi, Yoshizawa Morikawa, Sakiko, Kato, Noriko, Kato, Mitsutoshi, Yokoyama, Hiroki, Kurihara, Yoshio, Maegawa, Hiroshi, Fujihara, Kazuya, Sone, Hirohito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331232/
https://www.ncbi.nlm.nih.gov/pubmed/35893888
http://dx.doi.org/10.3390/nu14153034
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author Hatta, Mariko
Horikawa, Chika
Takeda, Yasunaga
Ikeda, Izumi
Yoshizawa Morikawa, Sakiko
Kato, Noriko
Kato, Mitsutoshi
Yokoyama, Hiroki
Kurihara, Yoshio
Maegawa, Hiroshi
Fujihara, Kazuya
Sone, Hirohito
author_facet Hatta, Mariko
Horikawa, Chika
Takeda, Yasunaga
Ikeda, Izumi
Yoshizawa Morikawa, Sakiko
Kato, Noriko
Kato, Mitsutoshi
Yokoyama, Hiroki
Kurihara, Yoshio
Maegawa, Hiroshi
Fujihara, Kazuya
Sone, Hirohito
author_sort Hatta, Mariko
collection PubMed
description Background: We investigated the association between various food groups and obesity in Japanese patients with type 2 diabetes. Methods: 2070 patients with type 2 diabetes who attended 26 diabetes clinics throughout Japan were analyzed and were divided into obese and non-obese groups. Intakes of food groups determined by a food frequency questionnaire were compared. Odds ratios for obesity for quartiles of individual food groups were calculated using a logistic regression model. Results: Non-obese patients consumed a larger variety of food groups than obese patients, with the diets of non-obese individuals closer to the traditional Japanese diet characterized by fish, seaweed, and soybeans/soy products. Among 21 food groups, low vegetable intake and high sweets intake were the most strongly associated with obesity in both men and women. Low intake of both fruits and vegetables and the combination of high intake of sweets and low intake of fruits were associated with obesity. Conclusions: Food groups and their combinations that were strongly associated with obesity in Japanese patients with type 2 diabetes were identified. Our findings also suggested an inverse association between the traditional Japanese diet and obesity.
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spelling pubmed-93312322022-07-29 Association between Obesity and Intake of Different Food Groups among Japanese with Type 2 Diabetes Mellitus—Japan Diabetes Clinical Data Management Study (JDDM68) Hatta, Mariko Horikawa, Chika Takeda, Yasunaga Ikeda, Izumi Yoshizawa Morikawa, Sakiko Kato, Noriko Kato, Mitsutoshi Yokoyama, Hiroki Kurihara, Yoshio Maegawa, Hiroshi Fujihara, Kazuya Sone, Hirohito Nutrients Article Background: We investigated the association between various food groups and obesity in Japanese patients with type 2 diabetes. Methods: 2070 patients with type 2 diabetes who attended 26 diabetes clinics throughout Japan were analyzed and were divided into obese and non-obese groups. Intakes of food groups determined by a food frequency questionnaire were compared. Odds ratios for obesity for quartiles of individual food groups were calculated using a logistic regression model. Results: Non-obese patients consumed a larger variety of food groups than obese patients, with the diets of non-obese individuals closer to the traditional Japanese diet characterized by fish, seaweed, and soybeans/soy products. Among 21 food groups, low vegetable intake and high sweets intake were the most strongly associated with obesity in both men and women. Low intake of both fruits and vegetables and the combination of high intake of sweets and low intake of fruits were associated with obesity. Conclusions: Food groups and their combinations that were strongly associated with obesity in Japanese patients with type 2 diabetes were identified. Our findings also suggested an inverse association between the traditional Japanese diet and obesity. MDPI 2022-07-24 /pmc/articles/PMC9331232/ /pubmed/35893888 http://dx.doi.org/10.3390/nu14153034 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hatta, Mariko
Horikawa, Chika
Takeda, Yasunaga
Ikeda, Izumi
Yoshizawa Morikawa, Sakiko
Kato, Noriko
Kato, Mitsutoshi
Yokoyama, Hiroki
Kurihara, Yoshio
Maegawa, Hiroshi
Fujihara, Kazuya
Sone, Hirohito
Association between Obesity and Intake of Different Food Groups among Japanese with Type 2 Diabetes Mellitus—Japan Diabetes Clinical Data Management Study (JDDM68)
title Association between Obesity and Intake of Different Food Groups among Japanese with Type 2 Diabetes Mellitus—Japan Diabetes Clinical Data Management Study (JDDM68)
title_full Association between Obesity and Intake of Different Food Groups among Japanese with Type 2 Diabetes Mellitus—Japan Diabetes Clinical Data Management Study (JDDM68)
title_fullStr Association between Obesity and Intake of Different Food Groups among Japanese with Type 2 Diabetes Mellitus—Japan Diabetes Clinical Data Management Study (JDDM68)
title_full_unstemmed Association between Obesity and Intake of Different Food Groups among Japanese with Type 2 Diabetes Mellitus—Japan Diabetes Clinical Data Management Study (JDDM68)
title_short Association between Obesity and Intake of Different Food Groups among Japanese with Type 2 Diabetes Mellitus—Japan Diabetes Clinical Data Management Study (JDDM68)
title_sort association between obesity and intake of different food groups among japanese with type 2 diabetes mellitus—japan diabetes clinical data management study (jddm68)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331232/
https://www.ncbi.nlm.nih.gov/pubmed/35893888
http://dx.doi.org/10.3390/nu14153034
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