Marked differences in prediabetes- and diabetes-associated comorbidities between men and women-Epidemiological results from a general population-based cohort aged 6-80 years-The LEAD (Lung, hEart, sociAl, boDy) study

Associations of long-term exposure to air pollution and noise with body composition in children and adults: Results from the LEAD general population study

BACKGROUND

While long-term air pollution and noise exposure has been linked to increasing cardiometabolic disease risk, potential effects on body composition remains unclear. This study aimed to investigate the associations of long-term air pollution, noise and body composition.

METHODS

We used repeated data from the LEAD (Lung, hEart, sociAl, boDy) study conducted in Vienna, Austria. Body mass index (BMI; kg/m2), fat mass index (FMI; z-score), and lean mass index (LMI; z-score) were measured using dual-energy x-ray absorptiometry at the first (t0; 2011-ongoing) and second (t1; 2017-ongoing) examinations. Annual particulate matter (PM10) and nitrogen dioxide (NO2) concentrations were estimated with the GRAMM/GRAL model (2015-2021). Day-evening-night (Lden) and night-time (Lnight) noise levels from transportation were modeled for 2017 following the European Union Directive 2002/49/EC. Exposures were assigned to residential addresses. We performed analyses separately in children/adolescents and adults, using linear mixed-effects models with random participant intercepts and linear regression models for cross-sectional and longitudinal associations, respectively. Models were adjusted for co-exposure, lifestyle and sociodemographics.

RESULTS

A total of 19,202 observations (nt0 = 12,717, nt1 = 6,485) from participants aged 6-86 years (mean age at t0 = 41.0 years; 52.9 % female; mean PM10 = 21 µg/m3; mean follow-up time = 4.1 years) were analyzed. Among children and adolescents (age ≤ 18 years at first visit), higher PM10exposure was cross-sectionally associated with higher FMI z-scores (0.09 [95 % Confidence Interval (CI): 0.03, 0.16]) and lower LMI z-scores (-0.05 [95 % CI: -0.10, -0.002]) per 1.8 µg/m3. Adults showed similar trends in cross-sectional associations as children, though not reaching statistical significance. We observed no associations for noise exposures. Longitudinal analyses on body composition changes over time yielded positive associations for PM10, but not for other exposures.

CONCLUSION

Air pollution exposure, mainly PM10, was cross-sectionally and longitudinally associated with body composition in children/adolescents and adults. Railway/road-traffic noise exposures showed no associations in both cross-sectional and longitudinal analyses.

Impact of diabetes on healthcare utilization and expenditure among older adults in India

Background and aims

The present study aims to investigate the disparities in healthcare utilization and healthcare burden among individuals with and without diabetes. The prevalence of diabetes is more pronounced among older adults, which can detrimentally influence their health and quality of life while also restricting their capacity to self-manage and giving rise to competing healthcare demands. Thus, it is crucial to understand the implications of diabetes on healthcare demands and expenditures to mitigate its detrimental consequences.

Methods

Data was used from the initial round of the Longitudinal Aging Study in India (LASI), conducted in 2017-18. The analytical sample included 65,562 individuals aged 45 or above, and 8429 individuals were identified as having diabetes. The primary outcome variable was the out-of-pocket expenditure (OOPE) in the most recent hospitalization. Descriptive statistics and logistic regression are used to find the trend in the prevalence of morbidities both in diabetic and nondiabetic groups. Additionally, quantile regression was used to study the association between the presence of diabetes and the risk of excess healthcare expenditure calculated through out-of-pocket expenditure for hospitalization and expenditure on medicines.

Results

16% of people with diabetes were hospitalized in the past year, compared to 9% without diabetes. The mean hospitalization length for diabetics was 13.6 days, compared to 6.5 for nondiabetics. Diabetes is significantly associated with higher OOPE for hospitalization across all quintiles, and its effect on hospitalization is weakest in the highest quintile. Having diabetes is also found to be significantly associated with the expenditure on medicines across all quintiles.

Conclusion

The study highlights the need for diabetes awareness programs and interventions integrated into national health policies. The quantile regression model provides crucial insights into the association between diabetes and OOPE for hospitalization and medicine The increase of OOPE for hospitalisation and medicine due to the presence of diabetes emphasizes the need to address the financial burden faced by people with diabetes, highlighting the urgency of prioritizing measures to improve access to affordable care.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01319-w.

Association of prediabetes with clinical outcomes in patients with chronic coronary syndrome: a post hoc analysis of the ISCHEMIA and ISCHEMIA-CKD trials

BACKGROUND

There is conflicting evidence whether prediabetes is associated with adverse clinical outcomes in patients with chronic coronary syndrome. We aimed to assess the effect of prediabetes in patients with chronic coronary syndrome on clinical outcomes.

METHODS

This is a secondary analysis of data from the ISCHEMIA and ISCHEMIA-CKD trials, including patients with chronic coronary syndrome determined by coronary computed tomography angiography or exercise-stress testing. Participants were assigned to the normoglycemia group (HbA1c < 5.7% [< 39 mmol/mol]), prediabetes group (HbA1c 5.7-6.4% [40-47 mmol/mol]), or diabetes group (HbA1c ≥ 6.5% [≥ 48 mmol/mol]). The primary end point of this study was all-cause mortality. Secondary endpoints included major adverse cardiovascular events and composites thereof.

RESULTS

Overall, the primary endpoint all-cause mortality occurred in 330 (8.4%) of 3910 patients over a median follow-up time of 3.1 years (IQR 2.1-4.1). The primary endpoint all-cause mortality occurred in 37 (5.2%) of 716 patients in the normoglycemia group, in 63 (6.9%) of 911 in the prediabetes group, and in 230 (10.1%) of 2283 in the diabetes group. In the covariate-adjusted Cox model analysis, the estimated adjusted HR (aHR) in the prediabetes group as compared with the normoglycemia group was 1.45 (95%CI, 0.95-2.20). The aHR in the diabetes group as compared with the normoglycemia group was 1.84 (95%CI, 1.29-2.65). Prediabetes, compared with normoglycemia, was associated with an increased risk of stroke (aHR, 3.44, 95%CI, 1.15-10.25). Subgroup analyses suggested an increased risk of all-cause death associated with prediabetes in males and patients under 65 years.

CONCLUSIONS

In patients with chronic coronary syndrome, diabetes but not prediabetes was associated with significantly increased risk of all-cause death within a median follow-up period of 3.1 years. Trial Registration NCT01471522, BioLINCC ID 13936.

Insulin resistance and cardiometabolic indexes: comparison of concordance in working-age subjects with overweight and obesity

PURPOSE

The aim of the study was to evaluate indexes of insulin resistance and cardiometabolic risk in a large population of workers with overweight or obesity, in order to identify a possible efficient, cheap and simple strategy to apply in workers' health surveillance.

METHODS

The evaluation of IR and cardiometabolic risk indexes (HOMA, QUICKI, Ty/HDLC, TyG, insuTAG, Castelli risk indexes 1 and 2, non-HDLC, TRL-C, AIP, and VAI) was performed in a population of 1195 working-age subjects with overweight or obesity (322 males, mean age 49 ± 11 years).

RESULTS

The prevalence of IR and cardiometabolic risk was higher among males for all indexes. Aging, waist circumference, BMI, blood pressure, glucose, CRP, fibrinogen and uric acid were correlated more frequently with IR/cardiometabolic indexes in women, homocysteine in men. The percentage of the workers identified as insulin resistant (IR+) or at higher cardiometabolic risk greatly vary according to the different index used.

CONCLUSION

With a small group of biomarkers and anthropometric measures (fasting glucose and insulin, lipid profile, BMI and waist circumference) is possible to calculate a number of IR/cardiometabolic indexes, which, likely reflecting different pathophysiological aspects also related to gender, might help in a personalized evaluation of IR and cardiometabolic risk. Graphical abstract.

Global prevalence of prediabetes in children and adolescents: A systematic review and meta-analysis

BACKGROUND

Prediabetes is a pivotal risk factor for developing diabetes. This meta-analysis was performed to assess the global prevalence of childhood prediabetes.

METHODS

A systematic search was conducted for studies of prediabetes prevalence in the general pediatric population from inception until December 2021. Random-effects meta-analysis was used to combine the data. Variations in the prevalence estimates in different subgroups (age group, sex, setting, investigation period, body mass index [BMI] group, family history of diabetes, diagnosis criteria, World Health Organization [WHO] and World Bank [WB] regions) were examined by subgroup meta-analysis.

RESULTS

A total of 48 studies were included in the meta-analysis. The pooled prevalence was 8.84% (95% CI, 6.74%-10.95%) for prediabetes in childhood. Subgroup meta-analyses showed that the prevalence was higher in males than females (8.98% vs 8.74%, P < .01), in older compared to younger children (7.56% vs. 2.51%, p < 0.01), in urban compared to rural areas (6.78% vs. 2.47, p < 0.01), and higher in children with a family history of diabetes than in those without such a history (7.59% vs. 6.80%, p < 0.01). We observed an upward trend in prediabetes prevalence from 0.93% to 10.66% over past decades (p < 0.01). The pooled prevalence increased from 7.64% to 14.27% with increased BMI (p < 0.01). Pooled prevalence was the lowest for criterion A among different diagnosis criteria (p < 0.01). For WHO and WB regions, the European Region and high-income countries yielded the lowest pooled prevalence (p < 0.01).

CONCLUSIONS

Elevated prediabetes prevalence in childhood reaches an alarming level. Intensive lifestyle modification is needed to improve the prediabetes epidemic.

Sickness absence, disability pension and economic situation after a spontaneous subarachnoid haemorrhage among people of working age: a Swedish longitudinal nationwide cohort study

OBJECTIVES

The aim was to describe the course of sickness absence (SA), disability pension (DP) and work-related economic situation defined as earnings (EA) and disposable income (DI), after spontaneous subarachnoid haemorrhage (SAH). Associations of SA, DP, EA and DI with demographic factors were also studied.

DESIGN

A longitudinal cohort study of all 1932 people in Sweden who in January 2005 to December 2010 had a first time SAH when aged 17 to 64 years and survived during the 3-year follow-up. Microdata from four nationwide administrative registers were used.

MAIN OUTCOME MEASURES

Primary outcome was the presence of SA and DP and how this changed during the study period of 5 years (the year before, the year of SAH and the following 3 years). The secondary outcome was the development of the income variables EA and DI. Demographic factors analysed were sex, age, source of bleeding, country of birth, family situation, educational level and type of living area.

RESULTS

The year before the SAH, 7.9% of women and 4.6% of men had some SA registered (p<0.004). A model consisting of female sex, higher education and living single predicted having SA that year. At the end of the follow-up, 39.2% of women and 28.3% of men had SA and/or DP (p<0.0001). A model consisting of female sex, living in a village/ rural area and having a defined bleeding source for the SAH was predicting having SA and/or DP at end of follow-up. The levels of EA decreased, while DI increased during follow-up and were at the end of follow-up associated with age, sex, type of living area, country of birth, educational level and family situation. The women's EA was lower than the men's during all years.

CONCLUSIONS

SAH influenced future SA, DP, as well as EA. Both SA, DP and the economic variables studied were predicted by models including sex.

Do Women with Diabetes Need More Intensive Action for Cardiovascular Reduction than Men with Diabetes?

PURPOSE OF REVIEW

This narrative review makes the case for greater efforts to reduce cardiovascular disease (CVD) risk in women with diabetes.

RECENT FINDINGS

In a recent meta-analysis including five CVOTs of diabetes medications with 46,606 subjects, women (vs men) with type 2 diabetes had a higher relative risk for stroke (RR 1.28; 95% CI 1.09, 1.50) and heart failure (1.30; 1.21, 1.40). Prior studies found higher "within-gender" RR for CVD mortality in women with diabetes although men have an absolute higher risk. Women with prior gestational diabetes mellitus (GDM) have a 2-fold higher CVD risk than the background population. Worse CVD and CVD risk factor management in women, as well as lower female therapy adherence, contribute further to these disparities. The mechanism behind this excess risk includes biological, hormonal, socioeconomic, clinical, and behavioral factors that still require further investigation. The need for more intensive CVD reduction in women now includes more attention to screening for both incident diabetes and CVD risk factors among high-risk women.

The Impact of Diabetes Mellitus on Cardiovascular Risk Onset in Children and Adolescents

The prevalence of diabetes mellitus is rising among children and adolescents worldwide. Cardiovascular diseases are the main cause of morbidity and mortality in diabetic patients. We review the impact of diabetes on establishing, during childhood and adolescence, the premises for cardiovascular diseases later in life. Interestingly, it seems that hyperglycemia is not the only factor that establishes an increased cardiovascular risk in adolescence. Other factors have been recognized to play a role in triggering the onset of latent cardiovascular diseases in the pediatric population. Among these cardiovascular risk factors, some are modifiable: glucose variability, hypoglycemia, obesity, insulin resistance, waist circumference, hypertension, dyslipidemia, smoking alcohol, microalbuminuria and smoking. Others are unmodifiable, such as diabetes duration and family history. Among the etiological factors, subclinical endothelial dysfunction represents one of the earliest key players of atherosclerosis and it can be detected during early ages in patients with diabetes. A better assessment of cardiovascular risk in pediatric population still represents a challenge for clinicians, and thus further efforts are required to properly identify and treat pediatric patients who may suffer from cardiovascular disease later in early adulthood.