BACKGROUND Gestational diabetes mellitus(GDM)is a growing public health concern,particularly in regions with diverse ethnic populations.Understanding the incidence and risk factors of GDM is crucial for early preventi...BACKGROUND Gestational diabetes mellitus(GDM)is a growing public health concern,particularly in regions with diverse ethnic populations.Understanding the incidence and risk factors of GDM is crucial for early prevention and management,especially in underrepresented areas like Guizhou Province,China,where geographic and ethnic diversity may influence the disease’s prevalence and risk profiles.AIM To investigate the incidence of GDM and identify its associated risk and protective factors among different ethnic groups in Guizhou Province,providing essential data for early prevention strategies.METHODS A multi-center retrospective study was conducted,dividing participants into GDM and non-GDM groups according to standardized diagnostic criteria.Data were collected from 103629 deliveries across 40 hospitals in Guizhou.Various demographic,clinical,and laboratory parameters were analyzed using logistic regression to identify risk and protective factors for GDM.RESULTS Among the 103629 deliveries,18957 cases of GDM were identified,with an incidence of approximately 18.3%.The risk of GDM was higher in the Han ethnic group compared to minority ethnic groups.The Dong ethnic group had the lowest incidence among the minorities.Key risk factors identified included older age(especially>35 years),higher pre-pregnancy body mass index(BMI),light physical activity,gravidity,family history of diabetes,hemoglobin,aspartate aminotransferase,alanine aminotransferase,and direct bilirubin.Protective factors included higher education level,total protein,and albumin.There were also differences based on blood type,with type A associated with higher risk.CONCLUSION The incidence rate in Guizhou is 18.3%.Older age(especially>35 years),Han ethnicity,lower education level,higher pre-pregnancy BMI,light physical activity,and higher gravidity are the main risk factors for GDM.Laboratory findings indicate that higher hemoglobin,higher liver function parameters(alanine aminotransferase,aspartate aminotransferase,and direct bilirubin),and lower total protein and albumin are associated with a higher risk of GDM.Blood type A has a higher risk of GDM compared to blood types AB and O.展开更多
People’s health is the basis for the progress of social civilization and an important symbol of national prosperity and national strength.Using the entropy method,spatial autocorrelation,spatio-temporal geographic we...People’s health is the basis for the progress of social civilization and an important symbol of national prosperity and national strength.Using the entropy method,spatial autocorrelation,spatio-temporal geographic weighted regression and other methods,we conducted a comprehensive evaluation of the high-quality development level of public health in Guizhou Province from 2011 to 2020 and an evolutionary analysis of the spatio-temporal divergence.The results revealed four key aspects of the state of public health in Guizhou Province.(1)The overall level of public health is constantly improving,but structural imbalance is prominent.(2)From the spatial dimension,the spatial differences in the level of public health have gradually moved from significant to a state of equilibrium.The northeastern cities were more strongly driven by the radiation of the peripheral cities,while this effect was weaker in the southwestern cities.From the time dimension,the spatial pattern shows a clear gradient,with a faster vertical growth rate.(3)The overall spatial correlation of the level of public health is weak,with more cold spots than hot spots,showing a distribution pattern of“strong in the northeast and weak in the southwest”.(4)The new rural cooperative medical care participation rate,(rural)per capita health expenditure,and the electronic health record creation rate have become the most important drivers affecting the high-quality development of public health in Guizhou Province.展开更多
基金National Natural Science Foundation of China,No.81960284Science and Technology Support Program of Science and Technology Department of Guizhou Province,No.Qian Ke He Zhi Cheng[2022]Yi Ban 183.
文摘BACKGROUND Gestational diabetes mellitus(GDM)is a growing public health concern,particularly in regions with diverse ethnic populations.Understanding the incidence and risk factors of GDM is crucial for early prevention and management,especially in underrepresented areas like Guizhou Province,China,where geographic and ethnic diversity may influence the disease’s prevalence and risk profiles.AIM To investigate the incidence of GDM and identify its associated risk and protective factors among different ethnic groups in Guizhou Province,providing essential data for early prevention strategies.METHODS A multi-center retrospective study was conducted,dividing participants into GDM and non-GDM groups according to standardized diagnostic criteria.Data were collected from 103629 deliveries across 40 hospitals in Guizhou.Various demographic,clinical,and laboratory parameters were analyzed using logistic regression to identify risk and protective factors for GDM.RESULTS Among the 103629 deliveries,18957 cases of GDM were identified,with an incidence of approximately 18.3%.The risk of GDM was higher in the Han ethnic group compared to minority ethnic groups.The Dong ethnic group had the lowest incidence among the minorities.Key risk factors identified included older age(especially>35 years),higher pre-pregnancy body mass index(BMI),light physical activity,gravidity,family history of diabetes,hemoglobin,aspartate aminotransferase,alanine aminotransferase,and direct bilirubin.Protective factors included higher education level,total protein,and albumin.There were also differences based on blood type,with type A associated with higher risk.CONCLUSION The incidence rate in Guizhou is 18.3%.Older age(especially>35 years),Han ethnicity,lower education level,higher pre-pregnancy BMI,light physical activity,and higher gravidity are the main risk factors for GDM.Laboratory findings indicate that higher hemoglobin,higher liver function parameters(alanine aminotransferase,aspartate aminotransferase,and direct bilirubin),and lower total protein and albumin are associated with a higher risk of GDM.Blood type A has a higher risk of GDM compared to blood types AB and O.
基金The Guizhou Science and Technology Foundation(ZK[2021]General 186)The National Natural Science Foundation of China(42271228,42101209)+1 种基金The Guizhou Provincial Department of Education Natural Science Research Fund(Guizhou Jiaohe KY Zi[2022]No.156)TheGuizhou Normal University Doctoral Research Project(GZNUD[2019]No.5).
文摘People’s health is the basis for the progress of social civilization and an important symbol of national prosperity and national strength.Using the entropy method,spatial autocorrelation,spatio-temporal geographic weighted regression and other methods,we conducted a comprehensive evaluation of the high-quality development level of public health in Guizhou Province from 2011 to 2020 and an evolutionary analysis of the spatio-temporal divergence.The results revealed four key aspects of the state of public health in Guizhou Province.(1)The overall level of public health is constantly improving,but structural imbalance is prominent.(2)From the spatial dimension,the spatial differences in the level of public health have gradually moved from significant to a state of equilibrium.The northeastern cities were more strongly driven by the radiation of the peripheral cities,while this effect was weaker in the southwestern cities.From the time dimension,the spatial pattern shows a clear gradient,with a faster vertical growth rate.(3)The overall spatial correlation of the level of public health is weak,with more cold spots than hot spots,showing a distribution pattern of“strong in the northeast and weak in the southwest”.(4)The new rural cooperative medical care participation rate,(rural)per capita health expenditure,and the electronic health record creation rate have become the most important drivers affecting the high-quality development of public health in Guizhou Province.
