Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study
Objective This study estimated the burden and characterised the risk factors associated with diabetes and impaired fasting glucose (IFG) in an undiagnosed rural population.Design Data for 36 960 participants from the Henan Rural Cohort baseline with undiagnosed diabetes were analysed. X2 test and mu...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2019-08-01
|
| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/9/8/e029628.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850178500843012096 |
|---|---|
| author | Yuming Wang Tanko Abdulai Yuqian Li Haiqing Zhang Runqi Tu Xiaotian Liu Liying Zhang Xiaokang Dong Ruiying Li Chongjian Wang |
| author_facet | Yuming Wang Tanko Abdulai Yuqian Li Haiqing Zhang Runqi Tu Xiaotian Liu Liying Zhang Xiaokang Dong Ruiying Li Chongjian Wang |
| author_sort | Yuming Wang |
| collection | DOAJ |
| description | Objective This study estimated the burden and characterised the risk factors associated with diabetes and impaired fasting glucose (IFG) in an undiagnosed rural population.Design Data for 36 960 participants from the Henan Rural Cohort baseline with undiagnosed diabetes were analysed. X2 test and multivariate logistic regression analyses were performed to test for association between risk factors and diabetes and IFG.Results Women constituted 60.30% of the study participants, mean age of participants was 55.32±12.18 years, risk factors for diabetes and IFG were prevalent (75% dyslipidaemia, 57% overweight/obese, 50% central obesity and 18% metabolic syndrome). The prevalence of diabetes and IFG was 4.19% and 7.22%, respectively. Having a metabolic syndrome (adjusted OR (aOR) 4.7, 95% CI 4.27 to 5.33), dyslipidaemia (aOR 2.76, 95% CI 2.31 to 3.21), centrally obese (aOR 2.38, 95% CI 2.11 to 2.70), being overweight/obese (aOR 1.66, 95% CI 1.45 to 1.79) and a family history of diabetes (aOR 1.50, 95% CI 1.15 to 1.92) were associated with diabetes. These factors were also associated with IFG. Intake of high salt diet (aOR 1.16, 95% CI 1.02 to 1.32) and smoking (aOR 1.22, 95% CI 1.02 to 1.47; significant in men) were also associated with diabetes. Engaging in moderate physical activity (aOR 0.94, 95% CI 0.89 to 0.98) was noted to be negatively associated with diabetes.Conclusion Diabetes and IFG remain prevalent in Chinese population with obesity and dyslipidaemia being some of the most significant predictors. Regular physical activity and consumption of fruits and vegetables may be beneficial in keeping blood glucose level low.Trial registration number ChiCTR-OOC-15006699 |
| format | Article |
| id | doaj-art-46eceddfe9554aa5bf52f1ce11d41096 |
| institution | OA Journals |
| issn | 2044-6055 |
| language | English |
| publishDate | 2019-08-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-46eceddfe9554aa5bf52f1ce11d410962025-08-20T02:18:43ZengBMJ Publishing GroupBMJ Open2044-60552019-08-019810.1136/bmjopen-2019-029628Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort StudyYuming Wang0Tanko Abdulai1Yuqian Li2Haiqing Zhang3Runqi Tu4Xiaotian Liu5Liying Zhang6Xiaokang Dong7Ruiying Li8Chongjian Wang95 Department of Endocrinology and Metabolism, Henan Provincial People’s Hospital, Zhengzhou, Henan, China1 Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China3 Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, China1 Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China1 Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, ChinaKey Laboratory of Renal Disease, Ministry of Health of China, Beijing, ChinaSunnybrook Research Institute, Toronto, Ontario, Canada1 Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China1 Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, ChinaDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, ChinaObjective This study estimated the burden and characterised the risk factors associated with diabetes and impaired fasting glucose (IFG) in an undiagnosed rural population.Design Data for 36 960 participants from the Henan Rural Cohort baseline with undiagnosed diabetes were analysed. X2 test and multivariate logistic regression analyses were performed to test for association between risk factors and diabetes and IFG.Results Women constituted 60.30% of the study participants, mean age of participants was 55.32±12.18 years, risk factors for diabetes and IFG were prevalent (75% dyslipidaemia, 57% overweight/obese, 50% central obesity and 18% metabolic syndrome). The prevalence of diabetes and IFG was 4.19% and 7.22%, respectively. Having a metabolic syndrome (adjusted OR (aOR) 4.7, 95% CI 4.27 to 5.33), dyslipidaemia (aOR 2.76, 95% CI 2.31 to 3.21), centrally obese (aOR 2.38, 95% CI 2.11 to 2.70), being overweight/obese (aOR 1.66, 95% CI 1.45 to 1.79) and a family history of diabetes (aOR 1.50, 95% CI 1.15 to 1.92) were associated with diabetes. These factors were also associated with IFG. Intake of high salt diet (aOR 1.16, 95% CI 1.02 to 1.32) and smoking (aOR 1.22, 95% CI 1.02 to 1.47; significant in men) were also associated with diabetes. Engaging in moderate physical activity (aOR 0.94, 95% CI 0.89 to 0.98) was noted to be negatively associated with diabetes.Conclusion Diabetes and IFG remain prevalent in Chinese population with obesity and dyslipidaemia being some of the most significant predictors. Regular physical activity and consumption of fruits and vegetables may be beneficial in keeping blood glucose level low.Trial registration number ChiCTR-OOC-15006699https://bmjopen.bmj.com/content/9/8/e029628.full |
| spellingShingle | Yuming Wang Tanko Abdulai Yuqian Li Haiqing Zhang Runqi Tu Xiaotian Liu Liying Zhang Xiaokang Dong Ruiying Li Chongjian Wang Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study BMJ Open |
| title | Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study |
| title_full | Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study |
| title_fullStr | Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study |
| title_full_unstemmed | Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study |
| title_short | Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study |
| title_sort | prevalence of impaired fasting glucose type 2 diabetes and associated risk factors in undiagnosed chinese rural population the henan rural cohort study |
| url | https://bmjopen.bmj.com/content/9/8/e029628.full |
| work_keys_str_mv | AT yumingwang prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy AT tankoabdulai prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy AT yuqianli prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy AT haiqingzhang prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy AT runqitu prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy AT xiaotianliu prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy AT liyingzhang prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy AT xiaokangdong prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy AT ruiyingli prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy AT chongjianwang prevalenceofimpairedfastingglucosetype2diabetesandassociatedriskfactorsinundiagnosedchineseruralpopulationthehenanruralcohortstudy |