The purpose of the study was to ascertain how the standard of living is associated with the likelihood of developing diabetes and hypertension directly as well as indirectly through overweight and obesity.

The study used 2017–2018 Bangladesh Demographic and Health Survey data. It examined the household living standard (LSD) as the main factor, and body mass index (BMI) as a mediator. Outcomes included diabetes status, hypertension status and their co-occurrence. Structural equation modelling with logistic regression and bootstrapping were used for mediation analysis and computing bias-corrected SEs.

The research was carried out in Bangladesh and included both male and female adults.

The study encompassed a total of 11 961 adults (5124 males and 6837 females) aged 18 years or older.

Among the participants, 10.3% had diabetes, 28.6% had hypertension and 4.9% had both conditions. The prevalence of diabetes, hypertension or both conditions was 18.5%, 33.5% and 9.7%, respectively, among those with a high LSD. Regression analysis demonstrated that individuals with high LSD had significantly elevated risks of these conditions compared with those with low LSD: 133% higher odds for diabetes (OR 2.22; 95% CI 1.97 to 2.76), 25% higher odds for hypertension (OR 1.25; 95% CI 1.10 to 1.42) and 148% higher odds for both conditions (OR 2.48; 95% CI 1.96 to 3.14). Moreover, the indirect effects of high LSD through obesity surpassed its direct effects for developing diabetes, hypertension or both conditions.

This study emphasises that with the enhancement of LSD, individuals often experience weight gain, resulting in elevated BMI levels. This cascade effect significantly amplifies the risks of diabetes, hypertension or both conditions. To counteract this concerning trajectory, policy interventions and targeted awareness campaigns are imperative. These efforts must prioritise the promotion of heightened physical activity and the mitigation of the overweight/obesity surge associated with rising LSD.

In this study, we aimed to identify the causes, predictors and gender disparities of 30-day and 90-day cardiovascular readmissions after COVID-19-related hospitalisations using National Readmission Database (NRD) 2020.

We used the NRD from 2020 to identify hospitalised adults with a principal diagnosis of COVID-19 infection.

We included subjects who were readmitted within 30 days and 90 days after index admission. We excluded subjects with elective and traumatic admissions. We used a multivariate Cox regression model to identify independent predictors of readmission.

Our outcomes were inpatient mortality, 30-day and 90-day cardiovascular readmission rates following COVID-19 infection.

During the study period, there were 1 024 492 index hospitalisations with a primary diagnosis of COVID-19 infection in the 2020 NRD database, 644 903 (62.9%) were included for 30-day readmission analysis, and 418 122 (40.8%) were included for 90-day readmission analysis. Of patients involved in the 30-day analysis, 7140 (1.1%) patients had a readmission within 30 days; of patients involved in the 90-day analysis, 8379 (2.0%) had a readmission within 90 days due to primarily cardiovascular causes. Cox regression analysis revealed that the female sex (aHR 0.89; 95% CI 0.82 to 0.95; p=0.001) was associated with a lower hazard of 30-day cardiovascular readmissions; however, congestive heart failure (aHR 2.45; 95% CI 2.2 to 2.72; p

Our study demonstrates that male gender, heart failure, arrhythmias and valvular disease carry higher hazards of 30-day and 90-day cardiovascular readmissions. Identifying risk factors and common causes of readmission may assist with lowering the burden of cardiovascular disease in patients with COVID-19 infection.

The current U-BIRTH cohort (Uppsala Birth Cohort) extends our previous cohort Biology, Affect, Stress, Imaging and Cognition (BASIC), assessing the development of children up to 11 years after birth. The U-BIRTH study aims to (1) assess the impact of exposure to peripartum mental illness on the children’s development taking into account biological and environmental factors during intrauterine life and childhood; (2) identify early predictors of child neurodevelopmental and psychological problems using biophysiological, psychosocial and environmental variables available during pregnancy and early post partum.

All mothers participating in the previous BASIC cohort are invited, and mother–child dyads recruited in the U-BIRTH study are consecutively invited to questionnaire assessments and biological sampling when the child is 18 months, 6 years and 11 years old. Data collection at 18 months (n=2882) has been completed. Consent for participation has been obtained from 1946 families of children having reached age 6 and from 698 families of children having reached age 11 years.

Based on the complete data from pregnancy to 18 months post partum, peripartum mental health was significantly associated with the development of attentional control and gaze-following behaviours, which are critical to cognitive and social learning later in life. Moreover, infants of depressed mothers had an elevated risk of difficult temperament and behavioural problems compared with infants of non-depressed mothers. Analyses of biological samples showed that peripartum depression and anxiety were related to DNA methylation differences in infants. However, there were no methylation differences in relation to infants’ behavioural problems at 18 months of age.

Given that the data collection at 18 months is complete, analyses are now being undertaken. Currently, assessments for children reaching 6 and 11 years are ongoing.

Imprecise nutritional recommendations due to a lack of diagnostic test accuracy are a frequent problem for individuals with adverse reactions to foods but no precise diagnosis. Consequently, patients follow very broad and strict elimination diets to avoid uncontrolled symptoms such as diarrhoea and abdominal pain. Dietary limitations and the uncertainty of developing gastrointestinal symptoms after the inadvertent ingestion of food have been demonstrated to reduce the quality of life (QoL) of affected individuals and subsequently might increase the risk of malnutrition and intestinal dysbiosis. This trial aims to investigate the effects of a tailored diet based on the confocal laser endoscopy (CLE) examination result to limit the side effects of unspecific and broad elimination diets and to increase the patient’s QoL.

The study is designed as a prospective, double-blind, monocentric, randomised and controlled trial conducted at the University Hospital of Schleswig-Holstein, Campus Lübeck, Germany. One hundred seventy-two patients with non-IgE-related food allergies and positive CLE results will be randomised to either a tailored diet or a standard fivefold elimination diet. The primary endpoints are the difference between the end and the start of the intervention in health-related QoL and the sum score of the severity of symptoms after 12 weeks. Key secondary endpoints are changes in the severity of symptoms, further QoL measurements, self-assessed state of health and number of days with a pathologically altered stool. Microbiome diversity and metabolome of stool, urine and blood will also be investigated. Safety endpoints are body composition, body mass index and adverse events.

The study protocol was accepted by the ethical committee of the University of Lübeck (AZ: 22-111) on 4 May2022. Results of the study will be published in peer-reviewed journals and presented at scientific meetings.

German Clinical Trials Register (DRKS00029323).