Research on the Influencing Factors that affecting Female Diabetes
DOI:
https://doi.org/10.54097/adfmaq54Keywords:
Logistic regression; female diabetes; influencing factors.Abstract
This paper provides an in-depth look at diabetes as a growing public health problem among women in light of globalization and lifestyle changes. Diabetes mellitus encompasses a collection of metabolic conditions marked by elevated blood glucose levels following a fasting period, typically resulting from inadequate insulin function or reduced sensitivity to insulin within the body. As per the International Diabetes Federation (IDF), the projected global population living with diabetes in 2011 was approximately 366 million. The IDF's projections indicate a potential increase to 522 million by 2030. This substantial escalation not only signifies the persistent rise in diabetes prevalence on a global scale, but also emphasizes the critical need for efficacious preventive interventions and diabetes management strategies. The prevalence of diabetes among women is not only high but rising, and there are significant gender differences in disease management and the probability of complications. The unique risks of diabetes in women include an increased risk of heart disease, stroke, kidney disease, and polycystic ovary syndrome. These complications further affect women's health and quality of life. In order to better understand the factors affecting diabetes in women, we conducted an in-depth analysis of relevant data using R language, focusing on Pima Indian women aged 21 to 81 years. The data set used in the study, the Diabetes Dataset, contained 768 observations and nine variables, all of which were Pima Indian women. This paper uses the logistic regression method to analyze these variables. The findings suggest that diabetes spectrum function is the most significant factor affecting diabetes risk in this population. This study is of great value to academic research and has far-reaching implications for formulating public health policies and optimizing clinical treatment guidelines.
Downloads
References
Alam U, Asghar O, Azmi S, et al. General aspects of diabetes mellitus. Handbook of clinical neurology, 2014, 126: 211-222.
Whiting DR, Guariguata L, Weil C et al. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract., 2011, 94: 311–321.
Blair M. Diabetes mellitus review. Urologic nursing, 2016, 36(1).
Xinyue Liu, Yeyi Zhu, Marissa Seamans, Roch Nianogo, Carla Janzen, Zhe Fei, Liwei Chen, Gestational diabetes mellitus and risk of neurodevelopmental disorders in young offspring: does the risk differ by race and ethnicity? American Journal of Obstetrics & Gynecology MFM, 2023.
Bruno Vergès. Cardiovascular disease in type 1 diabetes, an underestimated danger: Epidemiological and pathophysiological data. Atherosclerosis, 2023.
Lind M, Svensson A M, Kosiborod M, et al. Glycemic control and excess mortality in type 1 diabetes. N Engl J Med, 2014, 371(21):1972–82.
Livingstone S J, Levin D, Looker H C, Lindsay R S, Wild S H, Joss N, et al. Estimated life expectancy in a Scottish cohort with type 1 diabetes, 2008–2010. J Am Med Assoc, 2015, 313(1): 37.
Huxley R R, Peters S A E, Mishra G D, Woodward M. Risk of all-cause mortality and vascular events in women versus men with type 1 diabetes: a systematic review and meta-analysis. Lancet Diabetes Endocrinol, 2015, 3(3): 198–206.
Baiju R. Shah, Denice S. Feig, Elaine Herer, Michelle A. Hladunewich, Alexander Kiss, Radha P. Kohly, Lorraine L. Lipscombe, Paul M. Yip, David Z. Cherney, Increased risk for microvascular complications among women with gestational diabetes in the third trimester. Diabetes Research and Clinical Practice, 2021.
Federica Piani, Isabella Melena, Kalie L, et al. Sex-related differences in diabetic kidney disease: A review on the mechanisms and potential therapeutic implications. Journal of Diabetes and its Complications, 2021.
Koivisto V A, et al. Cardiovascular disease and its risk factors in IDDM in Europe. Diabetes Care, 1996, 689–697.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







