Prevalence of Diabetes, Prediabetes, and Associated Factors in an Adult Chinese Population: Baseline of a Prediabetes Cohort Study
Purpose. To report baseline information of a prediabetes mellitus (PDM) cohort with the aim of exploring related factors for the progression of PDM and its complications. Methods. This study is an exploratory and cross-sectional analysis of the baseline data from a cohort study. Residents aged 18 to...
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| Format: | Article |
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Wiley
2020-01-01
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| Series: | International Journal of Endocrinology |
| Online Access: | http://dx.doi.org/10.1155/2020/8892176 |
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| author | Xinjie Yu Fang Duan Da Lin Hai Li Jian Zhang Qiuyu Wang Xianglong Wang Qian Zhao Jiayu Deng Guangwei Song Qingqing Ji Haihua Zheng Xiang Chen Guoyi Zhou |
| author_facet | Xinjie Yu Fang Duan Da Lin Hai Li Jian Zhang Qiuyu Wang Xianglong Wang Qian Zhao Jiayu Deng Guangwei Song Qingqing Ji Haihua Zheng Xiang Chen Guoyi Zhou |
| author_sort | Xinjie Yu |
| collection | DOAJ |
| description | Purpose. To report baseline information of a prediabetes mellitus (PDM) cohort with the aim of exploring related factors for the progression of PDM and its complications. Methods. This study is an exploratory and cross-sectional analysis of the baseline data from a cohort study. Residents aged 18 to 70 years from Houtang Village, Nanyue Town, Yueqing City, Zhejiang Province, China, were invited to participate between October 1, 2018 and July 1, 2019. Blood samples were collected for analysis, and questionnaire interviews were conducted to assess behavioral characteristics. The study participants were divided into DM, PDM, and normal groups for comparisons based on their blood work, and multiple multinomial logistic regression analyses were used to assess the risk factors for DM and PDM. Results. Data from 406 participants were used in the baseline analysis, with a mean age of 51.2 ± 11.0 years and 160 (33.0%) males. The number of participants in the DM, PDM, and normal group was 58 (14.3%), 166 (40.9%), and 182 (44.8%), respectively. The prevalence of DM was 14.3%, and the prevalence of PDM was 40.9%. The regression analysis showed that older age (relative risk ratio (RRR) = 1.06; 95% CI, 1.01–1.11, P=0.018), higher systolic blood pressure (RRR = 1.04; 95% CI, 1.004–1.08, P=0.030), higher BMI (RRR = 1.20; 95% CI, 1.06–3.06, P=0.004), higher TG (RRR = 1.80; 95% CI, 1.06–3.06, P=0.029), and higher WBC count (RRR = 1.32; 95% CI, 1.07–1.64, P=0.010) were significantly associated with a higher risk of DM. Meanwhile, higher systolic blood pressure (RRR = 1.03; 95% CI, 1.004–1.06, P=0.025) was the only factor significantly associated with a higher risk of PDM. Conclusion. The prevalence of DM and PDM is relatively high in this wealthy East China village population. Many modifiable risk factors exist for DM and PDM, which will be closely monitored during our longitudinal observation. |
| format | Article |
| id | doaj-art-e11b767338dd49d48edec1c62c301604 |
| institution | Kabale University |
| issn | 1687-8337 1687-8345 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
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| series | International Journal of Endocrinology |
| spelling | doaj-art-e11b767338dd49d48edec1c62c3016042025-02-03T06:46:27ZengWileyInternational Journal of Endocrinology1687-83371687-83452020-01-01202010.1155/2020/88921768892176Prevalence of Diabetes, Prediabetes, and Associated Factors in an Adult Chinese Population: Baseline of a Prediabetes Cohort StudyXinjie Yu0Fang Duan1Da Lin2Hai Li3Jian Zhang4Qiuyu Wang5Xianglong Wang6Qian Zhao7Jiayu Deng8Guangwei Song9Qingqing Ji10Haihua Zheng11Xiang Chen12Guoyi Zhou13Affiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 325600, ChinaZhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou 510060, ChinaThe Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510060, ChinaZhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou 510060, ChinaAffiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 325600, ChinaAffiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 325600, ChinaAffiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 325600, ChinaZhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou 510060, ChinaThe Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaThe Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaThe Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaZhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou 510060, ChinaAffiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 325600, ChinaPurpose. To report baseline information of a prediabetes mellitus (PDM) cohort with the aim of exploring related factors for the progression of PDM and its complications. Methods. This study is an exploratory and cross-sectional analysis of the baseline data from a cohort study. Residents aged 18 to 70 years from Houtang Village, Nanyue Town, Yueqing City, Zhejiang Province, China, were invited to participate between October 1, 2018 and July 1, 2019. Blood samples were collected for analysis, and questionnaire interviews were conducted to assess behavioral characteristics. The study participants were divided into DM, PDM, and normal groups for comparisons based on their blood work, and multiple multinomial logistic regression analyses were used to assess the risk factors for DM and PDM. Results. Data from 406 participants were used in the baseline analysis, with a mean age of 51.2 ± 11.0 years and 160 (33.0%) males. The number of participants in the DM, PDM, and normal group was 58 (14.3%), 166 (40.9%), and 182 (44.8%), respectively. The prevalence of DM was 14.3%, and the prevalence of PDM was 40.9%. The regression analysis showed that older age (relative risk ratio (RRR) = 1.06; 95% CI, 1.01–1.11, P=0.018), higher systolic blood pressure (RRR = 1.04; 95% CI, 1.004–1.08, P=0.030), higher BMI (RRR = 1.20; 95% CI, 1.06–3.06, P=0.004), higher TG (RRR = 1.80; 95% CI, 1.06–3.06, P=0.029), and higher WBC count (RRR = 1.32; 95% CI, 1.07–1.64, P=0.010) were significantly associated with a higher risk of DM. Meanwhile, higher systolic blood pressure (RRR = 1.03; 95% CI, 1.004–1.06, P=0.025) was the only factor significantly associated with a higher risk of PDM. Conclusion. The prevalence of DM and PDM is relatively high in this wealthy East China village population. Many modifiable risk factors exist for DM and PDM, which will be closely monitored during our longitudinal observation.http://dx.doi.org/10.1155/2020/8892176 |
| spellingShingle | Xinjie Yu Fang Duan Da Lin Hai Li Jian Zhang Qiuyu Wang Xianglong Wang Qian Zhao Jiayu Deng Guangwei Song Qingqing Ji Haihua Zheng Xiang Chen Guoyi Zhou Prevalence of Diabetes, Prediabetes, and Associated Factors in an Adult Chinese Population: Baseline of a Prediabetes Cohort Study International Journal of Endocrinology |
| title | Prevalence of Diabetes, Prediabetes, and Associated Factors in an Adult Chinese Population: Baseline of a Prediabetes Cohort Study |
| title_full | Prevalence of Diabetes, Prediabetes, and Associated Factors in an Adult Chinese Population: Baseline of a Prediabetes Cohort Study |
| title_fullStr | Prevalence of Diabetes, Prediabetes, and Associated Factors in an Adult Chinese Population: Baseline of a Prediabetes Cohort Study |
| title_full_unstemmed | Prevalence of Diabetes, Prediabetes, and Associated Factors in an Adult Chinese Population: Baseline of a Prediabetes Cohort Study |
| title_short | Prevalence of Diabetes, Prediabetes, and Associated Factors in an Adult Chinese Population: Baseline of a Prediabetes Cohort Study |
| title_sort | prevalence of diabetes prediabetes and associated factors in an adult chinese population baseline of a prediabetes cohort study |
| url | http://dx.doi.org/10.1155/2020/8892176 |
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