Background: With recent changes in the United Kingdom's clinical practice for diabetes mellitus care, contemporary estimates of sex disparities in cardiovascular risk and risk factor management are needed.

Methods: In this retrospective cohort study, using the Clinical Practice Research Datalink linked to hospital and death records for people in England, we identified 79 985 patients with incident type 2 diabetes mellitus (T2DM) between 2006 to 2013 matched to 386 547 patients without diabetes mellitus. Sex-stratified Cox models were used to assess cardiovascular risk.

Results: Compared with women without T2DM, women with T2DM had a higher cardiovascular event risk (adjusted hazard ratio, 1.20 [95% confidence interval, 1.12-1.28]) with similar corresponding data in men (hazard ratio, 1.12 [1.06-1.19]), leading to a nonsignificant higher relative risk in women (risk ratio, 1.07 [0.98-1.17]). However, some important sex differences in the management of risk factors were observed. Compared with men with T2DM, women with T2DM were more likely to be obese, hypertensive, and have hypercholesterolemia, but were less likely to be prescribed lipid-lowering medication and angiotensin-converting enzyme inhibitors, especially if they had cardiovascular disease.

Conclusions: Compared with men developing T2DM, women with T2DM do not have a significantly higher relative increase in cardiovascular risk, but ongoing sex disparities in prescribing should prompt heightened efforts to improve the standard and equity of diabetes mellitus care in women and men.

Download full-text PDF

Source
http://dx.doi.org/10.1161/CIRCULATIONAHA.118.039100DOI Listing

Publication Analysis

Top Keywords

diabetes mellitus
20
women t2dm
16
cardiovascular risk
12
sex disparities
12
t2dm women
12
risk
8
risk risk
8
risk factor
8
factor management
8
type diabetes
8

Similar Publications

Objective: This study investigates the relationship between the albumin-to-creatinine ratio and diabetic retinopathy (DR) in US adults using NHANES data from 2009 to 2016. This study assesses the predictive efficacy of the urinary serum albumin-to-creatinine ratio (UACR/SACR Ratio) against traditional biomarkers such as the serum albumin-to-creatinine ratio (SACR) and urinary albumin-to-creatinine ratio (UACR) for evaluating DR risk. Additionally, the study explores the potential of these biomarkers, both individually and in combination with HbA1c, for early detection and risk stratification of DR.

View Article and Find Full Text PDF

Introduction: Obesity and its complications are associated with high morbidity/mortality and a significant healthcare cost burden in Spain. It is therefore essential to know the potential clinical and economic benefits of reducing obesity. The objective of this study is to predict the decrease in rates of onset of potential complications associated with obesity and the cost savings after a weight loss of 15% over 10 years in Spain.

View Article and Find Full Text PDF

Purpose Of Review: Addressing diabetes distress (DD), the emotional demands of living with diabetes, is a crucial component of diabetes care. Most individuals with type 2 diabetes and approximately half of adults with type 1 diabetes receive their care in the primary care setting. This review will provide guidance on addressing DD and implementing targeted techniques that can be tailored to primary care patients.

View Article and Find Full Text PDF

Pro-Arg, The Potential Anti-Diabetes Peptide, Screened from Almond by In-Silico Analysis.

Plant Foods Hum Nutr

January 2025

College of Biology and Food Engineering, Chongqing Three Gorges University, Chongqing, 404100, China.

Insulin resistance was considered to be the most important clinical phenotype of type 2 diabetes (T2DM). Almond is a widely-consumed nut and long-term intake was beneficial to alleviating insulin resistance in patients with T2DM. Hence, screening of anti-diabetic peptides from almond proteins was feasible based on the effectiveness of peptides in the treatment of T2DM.

View Article and Find Full Text PDF

With the global rise in advanced maternal age (AMA) pregnancies, the risk of gestational diabetes mellitus (GDM) increases. However, few GDM prediction models are tailored for AMA women. This study aims to develop a practical risk prediction model for GDM in AMA women.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!