Literature DB >> 29512926

Age distribution and metabolic disorders in people with Type 1 diabetes in Beijing and Shantou, China: a cross-sectional study.

L Huo1, L Ji2, W Deng1, J E Shaw3,4, P Zhang5, F Zhao5, H C McGuire6,7, K Kissimova-Skarbek6,8, D Whiting6.   

Abstract

AIMS: To examine whether the age profile of people with Type 1 diabetes differs from that of the general population and in what manner, and to study the clinical characteristics related to metabolic disorders among people with Type 1 diabetes in China.
METHODS: We sequentially enrolled 849 people with Type 1 diabetes from hospital records review, inpatient wards and outpatient clinics. Data were collected via face-to-face interviews, medical records and venous blood samples. Beijing census data for 2011 were used to provide the general population statistics. Descriptive analysis of the results and tests for differences were performed.
RESULTS: The median (interquartile range) age at diagnosis of diabetes was 16 (9-28) years and the duration of diabetes was 4 (1-8) years. The mean ± sd HbA1c concentration was 76±28 mmol/mol (9.1±2.5%). Compared with the general population, the population with Type 1 diabetes comprised more young individuals and fewer elderly individuals. The overall prevalence of metabolic syndrome among those with Type 1 diabetes was 10.1% (95% CI 7.9-12.2). People with metabolic syndrome were older and were diagnosed with diabetes at an older age. Hypertension and dyslipidaemia were more common in obese individuals with Type 1 diabetes than in their non-obese counterparts.
CONCLUSIONS: Compared with the general population, people with Type 1 diabetes comprised more young and fewer elderly individuals. The prevalence of metabolic syndrome in the Type 1 diabetes population was 10.1%. Hypertension and dyslipidaemia were more prevalent in obese than non-obese individuals.
© 2018 Diabetes UK.

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Year:  2018        PMID: 29512926     DOI: 10.1111/dme.13616

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  7 in total

1.  Prevalence of metabolic syndrome and predictors of metabolic risk in Indian children, adolescents and youth with type 1 diabetes mellitus.

Authors:  Chirantap Oza; Vaman Khadilkar; Madhura Karguppikar; Dipali Ladkat; Ketan Gondhalekar; Nikhil Shah; Anuradha Khadilkar
Journal:  Endocrine       Date:  2021-11-05       Impact factor: 3.633

2.  Prevalence of Metabolic Syndrome and Its Determinants in Newly-Diagnosed Adult-Onset Diabetes in China: A Multi-Center, Cross-Sectional Survey.

Authors:  Xia Li; Chuqing Cao; Xiaohan Tang; Xiang Yan; Houde Zhou; Jing Liu; Linong Ji; Xilin Yang; Zhiguang Zhou
Journal:  Front Endocrinol (Lausanne)       Date:  2019-10-01       Impact factor: 5.555

Review 3.  Global prevalence of metabolic syndrome among patients with type I diabetes mellitus: a systematic review and meta-analysis.

Authors:  Rebuma Belete; Zerihun Ataro; Ahmedmenewer Abdu; Merga Sheleme
Journal:  Diabetol Metab Syndr       Date:  2021-03-02       Impact factor: 3.320

4.  Association between Metabolic Syndrome and Microvascular Complications in Chinese Adults with Type 1 Diabetes Mellitus.

Authors:  Qianwen Huang; Daizhi Yang; Hongrong Deng; Hua Liang; Xueying Zheng; Jinhua Yan; Wen Xu; Xiangwen Liu; Bin Yao; Sihui Luo; Jianping Weng
Journal:  Diabetes Metab J       Date:  2021-08-31       Impact factor: 5.376

5.  Epidemiology and phenotypes of diabetes in children and adolescents in non-European-origin populations in or from Western Pacific region.

Authors:  Steven James; Jayanthi Maniam; Pik-To Cheung; Tatsuhiko Urakami; Julia von Oettingen; Supawadee Likitmaskul; Graham Ogle
Journal:  World J Clin Pediatr       Date:  2022-03-09

6.  Association and Interaction Analysis of Body Mass Index and Triglycerides Level with Blood Pressure in Elderly Individuals in China.

Authors:  Lin Zhang; Jin-Long Li; Li-Li Zhang; Lei-Lei Guo; Hong Li; Dan Li
Journal:  Biomed Res Int       Date:  2018-11-22       Impact factor: 3.411

7.  Clinical and demographic features among patients with type 1 diabetes mellitus in Henan, China.

Authors:  Liguo Yang; Guangxing Yang; Xialian Li
Journal:  BMC Endocr Disord       Date:  2021-06-28       Impact factor: 2.763

  7 in total

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