Factors associated with progression of different prediabetic status to Diabetes: A Community-based cohort study

Na Li; Chunhua Lu; Yuhang Ma; Xuejiao Wang; Yunxia Ling; Yanhua Yin; Shumei Li; Jiao Huang; Lihua Yu; Weiping Dong; Huichen He; Mei Kang; Lei Ma; Mingyu Gu; Li Zhao; Yunhong Huang; Fang Liu; Yufan Wang; Xianying Gai; Junyi Jiang; Yongde Peng; Xiaoying Ding

doi:10.1016/j.diabres.2022.109193

Factors associated with progression of different prediabetic status to Diabetes: A Community-based cohort study

Diabetes Res Clin Pract. 2022 Feb:184:109193. doi: 10.1016/j.diabres.2022.109193. Epub 2022 Jan 12.

Authors

Na Li¹, Chunhua Lu², Yuhang Ma¹, Xuejiao Wang¹, Yunxia Ling¹, Yanhua Yin¹, Shumei Li³, Jiao Huang¹, Lihua Yu², Weiping Dong¹, Huichen He⁴, Mei Kang⁴, Lei Ma⁴, Mingyu Gu¹, Li Zhao¹, Yunhong Huang¹, Fang Liu¹, Yufan Wang¹, Xianying Gai⁵, Junyi Jiang⁶, Yongde Peng⁷, Xiaoying Ding⁸

Affiliations

¹ Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
² Community Health Service Center of Sijing, Songjiang District, Shanghai 201601, China.
³ Department of Endocrinology and Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China.
⁴ Clinical Research Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
⁵ Department of Endocrinology, Sijing Hospital, Songjiang District, Shanghai 201601, China.
⁶ Department of Clinical Pharmacology, Xiangya Hospital, Central South University and Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha 410008, China; Aier Eye Institute, Changsha 410015, China. Electronic address: jiangjy@live.cn.
⁷ Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China. Electronic address: pengyongde0908@126.com.
⁸ Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China. Electronic address: dingxiaoying@sjtu.edu.cn.

PMID: 35032561
DOI: 10.1016/j.diabres.2022.109193

Abstract

Aims: To examine the predictive factors associated with the progression of different prediabetic status to diabetes.

Methods: A two-year retrospective cohort study was conducted on 5741 participants aged 40 years or older. Finally, 1685 participants with prediabetes defined by IFG (impaired fasting glucose), IGT (impaired glucose tolerance) and CGI (combined IFG and IGT) were included. Logistic regression model was used to evaluate the risk of prediabetes progression to diabetes.

Results: Of the 1685 subjects with prediabetes at baseline, 212 (12.6%) subjects progressed to diabetes and 1473 (87.4%) subjects did not. Logistic regression analysis demonstrated that people with CGI were associated with an increased risk of progressing to diabetes compared to those with IFG (OR, 95% CI: 3.127, 2.047-4.776). Moreover, males, obese people, people with increased BMI and WHR (Waist/ Hip ratio), and hypertension were positively associated with the progression to diabetes, while HOMA-β was negatively associated with the progression to diabetes.

Conclusions: Subjects with CGI are prone to progressed to diabetes compared to those with IFG or IGT in middle-aged and older person in China. More attention should be paid to male and obese prediabetic subjects, and measures should be taken to control the increase in their BMI and WHR.

Keywords: Insulin resistance; Insulin secretion; Prediabetes; Progress; combined glucose intolerance (CGI).

MeSH terms

Adult
Aged
Blood Glucose
Cohort Studies
Diabetes Mellitus, Type 2*
Fasting
Glucose Intolerance* / epidemiology
Humans
Insulin Resistance*
Male
Middle Aged
Prediabetic State* / epidemiology
Retrospective Studies

Substances

Blood Glucose