Associations between dietary behaviours and the mental and physical well-being of Swedish adolescents.

AIMS: This study aims to investigate the association between dietary behaviours, overweight/obesity, and mental health and well-being among Swedish adolescents. METHODS: Data from the 2017/2018 Health Behaviour in School-aged Children (HBSC) survey of 3692 adolescents aged ≈11, ≈13, and ≈15 years was analysed. We evaluated the prevalence and association of dietary behaviours, characterised by daily intake of fruits and vegetables, consumption of sugar-sweetened beverages (SSBs) and sweets once per week, and daily consumption of family meals and breakfast, with socioeconomic and demographic factors. Multivariate logistic regression models (adjusted and unadjusted) were then used to examine the relationship between dietary behaviours, overweight/obesity, and mental health and well-being including psychosomatic complaints, life satisfaction, and school-related pressure. RESULTS: Boys were more likely to eat breakfast and have meals together with their family than girls, but their fruit and vegetable intake was lower compared to girls. Adolescents with lower socioeconomic status (low family affluence, families perceived 'not well-off' and two unemployed parents), single-parent households and twoforeign born parents were more likely to engage in poorer dietary behaviours. Daily breakfast, family meals, fruit and vegetable intake were positively associated with mental health and well-being. Specifically, daily family meals were linked to higher life satisfaction, fewer psychosomatic complaints, and reduced school-related pressure. Breakfast emerged as a beneficial dietary habit, associated with higher life satisfaction, and a lower likelihood of psychosomatic complaints, school-related pressure, and overweight/obesity. Fruit and vegetable consumption was consistently associated with better mental health and well-being while associations between SSBs and sweets were mixed. CONCLUSIONS: Improving mental health and well-being, along with tackling the rising rates of mental illness and challenges related to overweight/obesity in adolescents constitute key public health priorities. Implementing policies that promote the intake of fruits and vegetables, reducing the consumption of SSBs and sweets, and emphasizing the value of having breakfast and sharing family meals could offer a cost-effective public health intervention.

Enhanced phenotypes for identifying opioid overdose in emergency department visit electronic health record data.

Background: Accurate identification of opioid overdose (OOD) cases in electronic healthcare record (EHR) data is an important element in surveillance, empirical research, and clinical intervention. We sought to improve existing OOD electronic phenotypes by incorporating new data types beyond diagnostic codes and by applying several statistical and machine learning methods. Materials and Methods: We developed an EHR dataset of emergency department visits involving OOD cases or patients considered at risk for an OOD and ascertained true OOD status through manual chart reviews. We developed and validated prediction models using Random Forest, Extreme Gradient Boost, and Elastic Net models that incorporated 717 features involving primary and second diagnoses, chief complaints, medications prescribed, vital signs, laboratory results, and procedural codes. We also developed models limited to single data types. Results: A total of 1718 records involving 1485 patients were manually reviewed; 541 (36.4%) patients had one or more OOD. Prediction performance was similar for all models; sensitivity varied from 94% to 97%; and area under the receiver operating characteristic curve (AUC) was 98% for all methods. The primary diagnosis and chief complaint were the most important contributors to AUC performance; primary diagnoses and medication class contributed most to sensitivity; chief complaint, primary diagnosis, and vital signs were most important for specificity. Models limited to decision support data types available in real time demonstrated robust prediction performance. Conclusions: Substantial prediction performance improvements were demonstrated for identifying OODs in EHR data. Our e-phenotypes could be applied in surveillance, retrospective empirical applications, or clinical decision support systems.

Experimental Simulation Study to Assess Pressure Distribution of Different Compression Applications Applied Over an Innovative Primary Wound Dressing.

INTRODUCTION: Compression is integral to the management of edema and the prevention of venous leg ulcers (VLUs). OBJECTIVE: The aim of this study is to assess the sub-bandage pressure distribution under 3 compression applications as well as to assess the impact of an innovative primary wound dressing, applied under the compression products, on pressure distribution. MATERIALS AND METHODS: A series of controlled tests were performed using a simulated leg model (SLM). A pressure mapping sensor and system software was used to measure the interface pressure (IP) and pressure distribution created by the application of 3 different compression systems with and without the addition of an elastic longitudinal stockinette (fuzzy wale compression; FWC). These included: (1) 2-layer cohesive wrap; (2) 3-layer compression application; and (3) 4-layer compression application. The IP was pressure between the SLM and the innovative dressing over which the compression applications were applied. Seven different configurations were tested, including the compression applications alone and in combination with the FWC. In addition to the IP measurements, pressure mapping visualizations were captured with the pressure mapping sensor and system software. A custom MATLAB program was written for data analysis, differentiations in discrete high- and low-pressure locations across the compressed area, and graphing of the pressure readings. RESULTS: The overall average pressure for each testing setup without FWC ranged from 34.65 ± 4.84 mm Hg for the 2L configuration to 63.92 ± 7.08 mm Hg for the 4L configuration. The addition of the FWC resulted in a 19% increase for the 2L, 9% increase for the 3L, and 7% increase for the 4L compression systems. Additionally, it was noted that the inclusion of FWC resulted in a significant change in pressures vertically oriented under the 2-, 3-, and 4-layer compression applications of 34.52 ± 9.06 mm Hg, 99.21 ± 29.81 mm Hg, and 128.96 ± 22.97 mm Hg, respectively. The pressure distribution under the compression alone was observed to be largely uniform except for areas of overlap that produce horizontal bands of elevated pressures. The presence of the primary wound dressing did not have a significant impact on the IP measurements. The addition of FWC to all compression applications demonstrated a vertical distribution of compression along the sensor with alternating areas of little or no compression. CONCLUSIONS: The unique alternating pressure distribution observed in the in vitro pressure testing with the use of FWC in a clinical setting has been observed to produce better edema management and wound edge migration that mirrors the vertical pressure distribution observed in the study. Additional in vitro and in vivo research to evaluate the biophysical impact of IP created by the use of a combination of primary wound dressings and compression applications with focus on the total pressure and the distribution across the surface of intact tissue and open wound bed is warranted.