Wirampa Tanglai, Apichai Wattanapisit, Osamu Watanabe, Thanakrit Jeamjitvibool, Mark Lockwood, Mia Cajita
{"title":"体育活动在降低成人糖尿病肾病风险中的作用:来自2017-2018年全国健康与营养调查的数据","authors":"Wirampa Tanglai, Apichai Wattanapisit, Osamu Watanabe, Thanakrit Jeamjitvibool, Mark Lockwood, Mia Cajita","doi":"10.1002/dmrr.70055","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aims</h3>\n \n <p>This study aimed to explore the relationship between PA domains, PA intensity, sedentary time, cardiometabolic factors, inflammatory markers, and risk of diabetic kidney disease (DKD) in adults. It also examined potential moderators of the relationship between PA and DKD including age, race and ethnicity.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>This cross-sectional study used data from the 2017–2018 National Health and Nutrition Examination Survey and included participants aged ≥ 18 years. The survey subjectively measured PA using the Global Physical Activity Questionnaire. After conducting multiple imputations to address missing data, we performed hierarchical logistic regression to identify factors significantly associated with DKD diagnosis and to examine moderating effects.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>DKD prevalence was 13.32%. Non-Hispanic Black participants showed higher odds of DKD than non-Hispanic White participants. Age, waist circumference, systolic blood pressure, fasting glucose levels, haemoglobin A1C, high-sensitivity C-reactive protein, sedentary time, and occupation-related PA were significant predictors of DKD. Although age, race and ethnicity were significant predictors of DKD, we observed no moderating effects of these variables on the PA-DKD risk relationship.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Cardiometabolic markers, inflammatory markers, and sedentary time significantly increase DKD risk, whereas occupation-related PA serves as a protective factor. This study highlights the need for interventions promoting a more active lifestyle in diabetic populations to mitigate their DKD risk.</p>\n </section>\n </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 5","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dmrr.70055","citationCount":"0","resultStr":"{\"title\":\"Role of Physical Activity in Reducing Diabetic Kidney Disease Risk in Adults: Data From the National Health and Nutrition Examination Survey, 2017–2018\",\"authors\":\"Wirampa Tanglai, Apichai Wattanapisit, Osamu Watanabe, Thanakrit Jeamjitvibool, Mark Lockwood, Mia Cajita\",\"doi\":\"10.1002/dmrr.70055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aims</h3>\\n \\n <p>This study aimed to explore the relationship between PA domains, PA intensity, sedentary time, cardiometabolic factors, inflammatory markers, and risk of diabetic kidney disease (DKD) in adults. It also examined potential moderators of the relationship between PA and DKD including age, race and ethnicity.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Materials and Methods</h3>\\n \\n <p>This cross-sectional study used data from the 2017–2018 National Health and Nutrition Examination Survey and included participants aged ≥ 18 years. The survey subjectively measured PA using the Global Physical Activity Questionnaire. After conducting multiple imputations to address missing data, we performed hierarchical logistic regression to identify factors significantly associated with DKD diagnosis and to examine moderating effects.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>DKD prevalence was 13.32%. Non-Hispanic Black participants showed higher odds of DKD than non-Hispanic White participants. Age, waist circumference, systolic blood pressure, fasting glucose levels, haemoglobin A1C, high-sensitivity C-reactive protein, sedentary time, and occupation-related PA were significant predictors of DKD. Although age, race and ethnicity were significant predictors of DKD, we observed no moderating effects of these variables on the PA-DKD risk relationship.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Cardiometabolic markers, inflammatory markers, and sedentary time significantly increase DKD risk, whereas occupation-related PA serves as a protective factor. This study highlights the need for interventions promoting a more active lifestyle in diabetic populations to mitigate their DKD risk.</p>\\n </section>\\n </div>\",\"PeriodicalId\":11335,\"journal\":{\"name\":\"Diabetes/Metabolism Research and Reviews\",\"volume\":\"41 5\",\"pages\":\"\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2025-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dmrr.70055\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes/Metabolism Research and Reviews\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/dmrr.70055\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes/Metabolism Research and Reviews","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/dmrr.70055","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Role of Physical Activity in Reducing Diabetic Kidney Disease Risk in Adults: Data From the National Health and Nutrition Examination Survey, 2017–2018
Aims
This study aimed to explore the relationship between PA domains, PA intensity, sedentary time, cardiometabolic factors, inflammatory markers, and risk of diabetic kidney disease (DKD) in adults. It also examined potential moderators of the relationship between PA and DKD including age, race and ethnicity.
Materials and Methods
This cross-sectional study used data from the 2017–2018 National Health and Nutrition Examination Survey and included participants aged ≥ 18 years. The survey subjectively measured PA using the Global Physical Activity Questionnaire. After conducting multiple imputations to address missing data, we performed hierarchical logistic regression to identify factors significantly associated with DKD diagnosis and to examine moderating effects.
Results
DKD prevalence was 13.32%. Non-Hispanic Black participants showed higher odds of DKD than non-Hispanic White participants. Age, waist circumference, systolic blood pressure, fasting glucose levels, haemoglobin A1C, high-sensitivity C-reactive protein, sedentary time, and occupation-related PA were significant predictors of DKD. Although age, race and ethnicity were significant predictors of DKD, we observed no moderating effects of these variables on the PA-DKD risk relationship.
Conclusions
Cardiometabolic markers, inflammatory markers, and sedentary time significantly increase DKD risk, whereas occupation-related PA serves as a protective factor. This study highlights the need for interventions promoting a more active lifestyle in diabetic populations to mitigate their DKD risk.
期刊介绍:
Diabetes/Metabolism Research and Reviews is a premier endocrinology and metabolism journal esteemed by clinicians and researchers alike. Encompassing a wide spectrum of topics including diabetes, endocrinology, metabolism, and obesity, the journal eagerly accepts submissions ranging from clinical studies to basic and translational research, as well as reviews exploring historical progress, controversial issues, and prominent opinions in the field. Join us in advancing knowledge and understanding in the realm of diabetes and metabolism.