Pei-Chao Lin1, Chich-Hsiu Hung2, Te-Fu Chan3, Kuan-Chia Lin4, Yu-Yun Hsu5. 1. School of Nursing, Kaohsiung Medical University, No. 100, Shih-Chuan 1st Rd., Kaohsiung City 80708, Taiwan. Electronic address: pclin@kmu.edu.tw. 2. School of Nursing, Kaohsiung Medical University, No. 100, Shih-Chuan 1st Rd., Kaohsiung City 80708, Taiwan. Electronic address: chhung@kmu.edu.tw. 3. Department of Obstetrics and Gynecology, Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, No. 100, Shih-Chuan 1st Rd., Kaohsiung City 80708, Taiwan; Department of Obstetrics and Gynecology, Kaohsiung Medical University Hospital, No. 100, Tz-You 1st Rd., Kaohsiung City 80756, Taiwan. Electronic address: tfchan@kmu.edu.tw. 4. Institute of Hospital and Health Care Administration, Community Medicine Research Center, National Yang-Ming University, No. 155, Linong Street Sec. 2, Taipei City 11221, Taiwan. Electronic address: kuanchia@ym.edu.tw. 5. Department of Nursing, and Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, 1 University Road, Tainan City, 70101, Taiwan. Electronic address: yuht12@mail.ncku.edu.tw.
Abstract
OBJECTIVE: To investigate the risk factors for developing GDM among Taiwanese pregnant women. DESIGN: A retrospective cohort and case-control study. SETTING: At a medical centre in Southern Taiwan. PARTICIPANTS: The hospitalised pregnant women who were diagnosed with either GDM or normal glucose tolerance (NGT) between 1997 and 2011. The glucose tolerance test results were interpreted according to criteria established by the National Diabetes Data Group for GDM. Participants were divided into either a GDM group (case group) or a normal glucose tolerance (NGT) group (control group) in order to determine the risk factors for GDM. MEASUREMENTS: With a retrospective chart review, data regarding demographics, a family history of diabetes, history of gestation, and physiological index for pre- and postpregnancy periods were collected. χ2 tests and independent t tests were used to examine the correlations between demographic characteristics and GDM. Stepwise multivariate logistic regression was used to determine the factors associated with GDM. FINDINGS: The results of the comparison between the GDM group (n=106) and the NGT group (n=406) showed that the risk factors for GDM were maternal age, education, a family history of diabetes, and prepregnancy body mass index (BMI). KEY CONCLUSION AND IMPLICATION FOR PRACTICE: Older age, lower levels of education, a family history of diabetes, and higher prepregnancy BMI were significant risk factors for GDM. In addition to performing risk factor assessment, health care providers should proactively promote the importance of GDM screening to pregnant women at their first antenatal visit.
OBJECTIVE: To investigate the risk factors for developing GDM among Taiwanese pregnant women. DESIGN: A retrospective cohort and case-control study. SETTING: At a medical centre in Southern Taiwan. PARTICIPANTS: The hospitalised pregnant women who were diagnosed with either GDM or normal glucose tolerance (NGT) between 1997 and 2011. The glucose tolerance test results were interpreted according to criteria established by the National Diabetes Data Group for GDM. Participants were divided into either a GDM group (case group) or a normal glucose tolerance (NGT) group (control group) in order to determine the risk factors for GDM. MEASUREMENTS: With a retrospective chart review, data regarding demographics, a family history of diabetes, history of gestation, and physiological index for pre- and postpregnancy periods were collected. χ2 tests and independent t tests were used to examine the correlations between demographic characteristics and GDM. Stepwise multivariate logistic regression was used to determine the factors associated with GDM. FINDINGS: The results of the comparison between the GDM group (n=106) and the NGT group (n=406) showed that the risk factors for GDM were maternal age, education, a family history of diabetes, and prepregnancy body mass index (BMI). KEY CONCLUSION AND IMPLICATION FOR PRACTICE: Older age, lower levels of education, a family history of diabetes, and higher prepregnancy BMI were significant risk factors for GDM. In addition to performing risk factor assessment, health care providers should proactively promote the importance of GDM screening to pregnant women at their first antenatal visit.
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