Literature DB >> 26550212

Comparison of dietary energy and macronutrient intake at different levels of glucose metabolism.

Li-Jun Yan1, Sheng Jiang2, Shi-An Sun3, Zi-Jing Xie2.   

Abstract

The aim of this study was to evaluate energy and glycolipid metabolism by determining the intake of energy and macronutrients in persons with differing glucose metabolisms. In total, 147 patients who were newly diagnosed with pre-diabetes, 177 patients with diabetes, 139 patients who were previously diagnosed with diabetes, and 140 patients with normal blood sugar were selected from the 103rd Regiment of Xinjiang. All patients had Han nationality and were over 30 years old. Their energy and macronutrient intakes were analyzed from data obtained from a 3-day food weighing household investigation. Compared to the normal group, the patients in the previously and newly diagnosed diabetic groups were older, less educated, and had a greater prevalence of hypertension (P<0.05). Compared to the normal group, patients with abnormal glucose metabolism had larger waist circumferences; higher systolic and diastolic blood pressure; higher postprandial glucose; higher total cholesterol; lower high-density lipoprotein cholesterol (HDL-C; P<0.05); higher intakes of energy, carbohydrates, and fat; and lower intakes of protein and fiber. In addition, the newly and previously diagnosed patients had higher fasting glucose levels (P<0.05). Compared to the normal group, patients with abnormal glucose metabolism in each sex subgroup also had larger waist circumferences, and more men had abdominal obesity (P<0.05). Diabetes or pre-diabetes patients had a higher intake of energy, carbohydrates, and fat, but a lower intake of proteins and fiber. They had severe abdominal obesity, a greater prevalence of hypertension, higher total cholesterol levels, lower HDL-C, and poor blood glucose and glycosylated hemoglobin levels, especially postprandial plasma glucose levels.

Entities:  

Keywords:  Diabetes; abdominal obesity; energy intake; macronutrients; prediabetes

Year:  2015        PMID: 26550212      PMCID: PMC4612897     

Source DB:  PubMed          Journal:  Int J Clin Exp Med        ISSN: 1940-5901


  19 in total

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Journal:  Chin Med J (Engl)       Date:  1996-08       Impact factor: 2.628

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Authors:  S Liu; J E Manson; M J Stampfer; M D Holmes; F B Hu; S E Hankinson; W C Willett
Journal:  Am J Clin Nutr       Date:  2001-03       Impact factor: 7.045

4.  Incidence rates and predictors of diabetes in those with prediabetes: the Strong Heart Study.

Authors:  Hong Wang; Nawar M Shara; Darren Calhoun; Jason G Umans; Elisa T Lee; Barbara V Howard
Journal:  Diabetes Metab Res Rev       Date:  2010-07       Impact factor: 4.876

5.  Prevalence and control of diabetes in Chinese adults.

Authors:  Yu Xu; Limin Wang; Jiang He; Yufang Bi; Mian Li; Tiange Wang; Linhong Wang; Yong Jiang; Meng Dai; Jieli Lu; Min Xu; Yichong Li; Nan Hu; Jianhong Li; Shengquan Mi; Chung-Shiuan Chen; Guangwei Li; Yiming Mu; Jiajun Zhao; Lingzhi Kong; Jialun Chen; Shenghan Lai; Weiqing Wang; Wenhua Zhao; Guang Ning
Journal:  JAMA       Date:  2013-09-04       Impact factor: 56.272

6.  A low-glycemic load diet reduces serum C-reactive protein and modestly increases adiponectin in overweight and obese adults.

Authors:  Marian L Neuhouser; Yvonne Schwarz; Chiachi Wang; Kara Breymeyer; Gloria Coronado; Chin-Yun Wang; Karen Noar; Xiaoling Song; Johanna W Lampe
Journal:  J Nutr       Date:  2011-12-21       Impact factor: 4.798

7.  Dietary patterns and glucose tolerance abnormalities in Chinese adults.

Authors:  Yuna He; Guansheng Ma; Fengying Zhai; Yanping Li; Yisong Hu; Edith J M Feskens; Xiaoguang Yang
Journal:  Diabetes Care       Date:  2009-08-12       Impact factor: 19.112

Review 8.  Pathophysiology of insulin resistance in human disease.

Authors:  G M Reaven
Journal:  Physiol Rev       Date:  1995-07       Impact factor: 37.312

9.  Comparison of isocaloric very low carbohydrate/high saturated fat and high carbohydrate/low saturated fat diets on body composition and cardiovascular risk.

Authors:  Manny Noakes; Paul R Foster; Jennifer B Keogh; Anthony P James; John C Mamo; Peter M Clifton
Journal:  Nutr Metab (Lond)       Date:  2006-01-11       Impact factor: 4.169

10.  Total energy intake may be more associated with glycemic control compared to each proportion of macronutrients in the korean diabetic population.

Authors:  Hye Mi Kang; Dong-Jun Kim
Journal:  Diabetes Metab J       Date:  2012-08-20       Impact factor: 5.376

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