Aims The aim of this study was to investigate the relation between body mass index (BMI) in young women, using weight early in pregnancy as a proxy for pre-pregnancy weight, and risk for early cardiovascular disease (CVD) and mortality. Methods and results In this prospective, registry-based study, we used weight data in early pregnancy from women, registered in the Swedish Medical Birth Registry, and who gave birth between 1982 and 2014 ( n = 1,495,499; median age 28.3 years). Of the women, 118,212 (7.9%) were obese (BMI ≥ 30 kg/m2) and 29,630 (2.0%) severely obese (BMI ≥ 35 kg/m2). After a follow-up of median 16.3 years, we identified 3295 and 4375 cases of acute myocardial infarction (AMI) and ischemic stroke (IS) corresponding to 13.4 and 17.8 per 100,000 observation years, respectively, occurring at mean ages of 49.8 and 47.3 years. Compared to women with a BMI 20–<22.5 kg/m2, the hazard ratio (HR) of AMI increased with higher BMI from 1.40 (95% confidence interval (CI) 1.27–1.54) among women with BMI 22.5–<25.0 kg/m2 to 4.71 (95% CI 3.88–5.72) among women with severe obesity, with similar findings for IS and CVD death, after adjustment for age, pregnancy year, parity and comorbidities at baseline. Women with BMI 30–<35.0 and ≥35 kg/m2 had increased all-cause mortality with adjusted HR 1.53 (95% CI 1.43–1.63) and 1.83 (95% CI 1.63–2.05), respectively. Conclusion A significant increase in the risk for early AMI, IS and CVD death was noticeable in overweight young women, with a marked increase in obese women.
Diabetes is one of the most prevalent cardiometabolic disorders on the planet. Type 1 diabetes accounts for only a minority of all cases (recently estimated to be ~2% globally); however, since this is a disorder with an early onset, many people live with type 1 diabetes for a long time. CVD and premature death are the main long-term outcomes for both types of diabetes; however, the type of diabetes that carries the highest risk of these outcomes is a controversial topic and has not been widely studied. Because of the association between diabetes and CVD, the rise in type 2 diabetes prevalence over the past decades has huge effects on global health. The excess risk in people with diabetes compared with those without depends, to a large extent, on the presence of other factors, such as general cardiovascular risk factors (e.g. elevated LDL-cholesterol, hypertension and smoking) and also factors that are more specific to diabetes (e.g. HbA1c, and micro- and macroalbuminuria). Some contributory factors are modifiable, while others are not, such as age, sex and type of diabetes. Older people with type 2 diabetes who have risk factors that are under control can achieve levels of CVD risk that are similar to that of the general population, while younger individuals with type 1 diabetes are mostly unable to achieve similar levels of risk, probably because of long and cumulative exposure to raised blood glucose levels. Despite reports of declining rates of CVD among people with type 1 and type 2 diabetes, rising rates of both types of diabetes lead to a continuing rise in the number of people with cardiometabolic disorders worldwide, offsetting the progress made in many countries. Comparison between individuals with type 1 and type 2 diabetes with respect to risk of CVD is fraught with difficulties and highly dependent on other, concomitant factors, some of which are modifiable and others not. Nonetheless, as a whole, what matters most in determining the management of diabetes is absolute risk and lifetime risk. Life-long efforts to achieve glycaemic control, control of lipids and hypertension, and not smoking are key to prevention, with a healthy lifestyle and pharmacological therapy to be implemented as needed. Graphical abstract
OBJECTIVE Type 2 diabetes is an established risk factor for hospitalization and death in COVID-19 infection, while findings with respect to type 1 diabetes have been diverging. RESEARCH DESIGN AND METHODS Using nationwide health registries, we identified all patients aged ≥18 years with type 1 and type 2 diabetes in Sweden. Odds ratios (ORs) describe the general and age-specific risk of being hospitalized, need for intensive care, or dying, adjusted for age, socioeconomic factors, and coexisting conditions, compared with individuals without diabetes. Machine learning models were used to find predictors of outcomes among individuals with diabetes positive for COVID-19. RESULTS Until 30 June 2021, we identified 365 (0.71%) and 11,684 (2.31%) hospitalizations in 51,402 and 504,337 patients with type 1 and 2 diabetes, respectively, with 67 (0.13%) and 2,848 (0.56%) requiring intensive care unit (ICU) care and 68 (0.13%) and 4,020 (0.80%) dying (vs 7,824,181 individuals without diabetes [41,810 hospitalizations (0.53%), 8,753 (0.11%) needing ICU care, and 10,160 (0.13%) deaths). Although those with type 1 diabetes had moderately raised odds of being hospitalized (multiple-adjusted OR 1.38 [95% CI 1.24–1.53]), there was no independent effect on ICU care or death (OR of 1.21 [95% CI 0.94–1.52] and 1.13 [95% CI 0.88–1.48], respectively). Age and socioeconomic factors were the dominating features for predicting hospitalization and death in both types of diabetes. CONCLUSIONS Type 2 diabetes was associated with increased odds for all outcomes, whereas patients with type 1 diabetes had moderately increased odds of hospitalization but not ICU care and death.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.