Association of sociodemographic and lifestyle factors and dietary intake with overweight and obesity among U.S. children: findings from NHANES.

Childhood overweight/obesity is a serious problem that has not been adequately addressed. As a key factor affecting weight gain, the association between dietary intake with childhood overweight and obesity is still unclear. The objective of this study was to analyze the association between sociodemographic, lifestyle factors and dietary intake with overweight or obesity. We used data from a large cross-sectional National Health and Nutrition Examination Survey (NHANES). The U.S. children aged 6-15 years with both weight data and dietary data were included. For univariate analysis of sociodemographic data, t tests was performed for continuous variables and chi-square tests was performed for discrete variables. Dietary intakes were described by median and quartile, and differences in dietary intake between children with normal weight and children with overweight or obesity were compared by rank sum tests. A modern statistical shrinkage technique, LASSO regression was used to examine the association between dietary intake and childhood obesity. Our study confirms that Hispanic ethnicity, increasing age, passive exposure to smoking, higher protein intake, and higher caffeine intake were positively associated with child overweight or obesity. Additionally, non-Hispanic White race, higher physical activity levels, higher household income, and higher vitamin A intake were negatively associated with child overweight or obesity.

Suicidal ideation in medical students of Hebei province: prevalence and associated factors.

Objectives: This study investigated the prevalence of suicidal ideation (SI) among Chinese medical students and its associated risk factors. Methods: A total of 6643 medical students (2383 males/4260 females) were recruited from a medical college in Hebei Province, China. Demographic data were collected via a self-administered questionnaire. The Childhood Trauma Questionnaire Short Form (CTQ-SF) was used to evaluate childhood maltreatment (CM), and the Adolescent Self-Rating Life Events Checklist (ASLEC) was used to evaluate the stressful life events. Suicidal ideation was assessed using the Beck Scale for Suicide Ideation (BSSI). Univariate and multivariate logistic regression models were used to analyze the factors affecting SI. Results: The prevalence of SI in medical students was 11.5% (763/6643). Multivariate logistic regression analysis revealed that SI was significantly associated with younger age, a female sex, being lovelorn, being introverted, experiencing CM during childhood, and experiencing stressful life events within the past 12 months. Of the five subtypes of CM, emotional abuse may have the strongest effect on SI (OR=2.76, 95% CI: 1.72-4.42). The joint effects of CM and stressful life events were significantly associated with an increased risk of SI (OR=5.39, 95% CI: 4.15-6.98). Conclusion: The prevalence of SI among medical students is high, and medical students who have experienced CM and stressful life events have a higher tendency towards SI. Screening for both CM and stressful life events may be an effective way of identifying individuals at high risk of SI.

Study on Effect of Surface Micro-Texture of Cemented Carbide on Tribological Properties of Bovine Cortical Bone.

In bone-milling surgical procedures, the intense friction between the tool and bone material often results in high cutting temperatures, leading to the thermal necrosis of bone cells. This paper aims to investigate the effect of micro-texture on the tribological properties of YG8 cemented carbide in contact with bone. The main objective is to guide the design of tool surface microstructures to reduce frictional heat generation. To minimize experimental consumables and save time, numerical simulations are first conducted to determine the optimal machining depth for the texture. Subsequently, micro-textures with different shapes and pitches are prepared on the surface of YG8 cemented carbide. These textured samples are paired with bovine cortical bone pins featuring various bone unit arrangements, and friction and wear tests are conducted under physiological saline lubrication. The experimental results indicate that the appropriate shape and pitch of the micro-texture can minimize the coefficient of friction. The parallel arrangement of bone units exhibits a lower coefficient of friction compared to the vertical arrangement. This study holds significant implications for the design and fabrication of future micro-texture milling cutters.

A Fluorine-Free Superhydrophobic Cotton Fabric Prepared by a Green and Energy-Saving Method Is Used for Long-Lasting and Efficient Oil-Water Separation.

Oil pollution poses a major threat to the ecosystem. Therefore, it is necessary to develop a material that can separate oil and water efficiently. Fabrics have a wide range of applications due to their economic simplicity and degradability. However, the existing methods of preparing superhydrophobic fabrics are complicated and energy-consuming, which are difficult to meet the concept of green and sustainable development. Moreover, various modified fabrics are less stable in harsh environments and do not have the ability to efficiently separate oil and water over a long period of time. In this paper, superhydrophobic zirconium dioxide (ZrO2) obtained from the modification of stearic acid was loaded onto the fabric surface using the adhesive properties of PDMS, resulting in the preparation of superhydrophobic/superoleophilic STA-ZrO2 fabrics. The fabric is made without involving time-consuming and energy-consuming heating, and it offers efficient oil-water separation, good stability and excellent recyclability. Truly in line with the concept of sustainable development.

OVAR-BPnet: A General Pulse Wave Deep Learning Approach for Cuffless Blood Pressure Measurement.

Pulse wave analysis, a non-invasive and cuffless approach, holds promise for blood pressure (BP) measurement in precision medicine. In recent years, pulse wave learning for BP estimation has undergone extensive scrutiny. However, prevailing methods still encounter challenges in grasping comprehensive features from pulse waves and generalizing these insights for precise BP estimation. In this study, we propose a general pulse wave deep learning (PWDL) approach for BP estimation, introducing the OVAR-BPnet model to powerfully capture intricate pulse wave features and showcasing its effectiveness on multiple types of pulse waves. The approach involves constructing population pulse waves and employing a model comprising an omni-scale convolution subnet, a Vision Transformer subnet, and a multilayer perceptron subnet. This design enables the learning of both single-period and multi-period waveform features from multiple subjects. Additionally, the approach employs a data augmentation strategy to enhance the morphological features of pulse waves and devise a label sequence regularization strategy to strengthen the intrinsic relationship of the subnets' output. Notably, this is the first study to validate the performance of the deep learning approach of BP estimation on three types of pulse waves: photoplethysmography, forehead imaging photoplethysmography, and radial artery pulse pressure waveform. Experiments show that the OVAR-BPnet model has achieved advanced levels in both evaluation indicators and international evaluation criteria, demonstrating its excellent competitiveness and generalizability. The PWDL approach has the potential for widespread application in convenient and continuous BP monitoring systems.

Superhydrophobic Waterborne Epoxy Composite Coating with Good Mechanical Properties, Icing Resistance, Self-Cleaning Properties, and Corrosion Resistance.

Epoxy resins with higher corrosion resistance typically employ environmentally harmful organic solvents such as xylene, while the corrosion resistance of waterborne epoxy resins, which are relatively environmentally friendly, is not as good as that of oil-based epoxy resins. In this study, by coating the surface of waterborne epoxy resin with a superhydrophobic zinc oxide coating, the corrosion resistance of waterborne epoxy resin was enhanced. During the initial immersion, its impedance value can reach 1010 Ω·cm2. The superhydrophobic nature of the coating itself also ensures the surface's resistance to immersion, delaying the intrusion of corrosive media into the coating. Furthermore, this coating exhibits good mechanical properties, self-cleaning performance, anti-icing performance, and so on. The introduction of superhydrophobic surfaces greatly optimizes the performance of traditional waterborne epoxy resin coatings, opening up directions for the metal anticorrosion field of coatings. Meanwhile, during the EIS testing of the superhydrophobic coating, we observed the occurrence of negative impedance in the results. After studying, we speculated that this phenomenon might be related to the degree of wetting of the superhydrophobic coating. Based on this conjecture, we can evaluate the basic properties of the superhydrophobic coating through this phenomenon.

Transformation of Natural Resin Resina Draconis to 3D Functionalized Fibrous Scaffolds for Efficient Chronic Wound Healing.

Chronic wound healing is a major challenge in clinical practice. Secondary dressing damage and antibiotic resistance are the main obstacles for traditional wound dressings. Resina draconis (RD), a natural resin traditionally used in powder form for wound care, is now considered unsuitable due to the lack of gas permeability and moist environment required for wound healing. Here, RD is incorporated in situ by constructing a 3D coiled fibrous scaffold with polycaprolactone/polyethylene oxide. Due to the high porosity of 3D scaffold, the RD-3D dressings have a favorable swelling capacity, providing permeability and moisture for wound repair. Meanwhile, the transformation of RD powder into 3D dressings fully demonstrates capabilities of RD in rapid hemostasis, bactericidal, and inflammation-regulating activities. In vivo evaluations using pressure ulcer and infected wound models confirm the high efficacy of RD-3D dressing in early wound healing, particularly beneficial in the infected wound model compared to recombinant bovine FGF-basic. Further biological analysis shows that resveratrol, loureirin A, and loureirin B, as potentially bioactive components of RD, individually contribute to different aspects of wound healing. Collectively, RD-3D integrated dressings represent a simple, cost-effective, and safe approach to wound healing, providing an alternative therapy for translating medical dressings from bench to bedside.

Coordinating Obstacle Avoidance of a Redundant Dual-Arm Nursing-Care Robot.

Collision safety is an essential issue for dual-arm nursing-care robots. However, for coordinating operations, there is no suitable method to synchronously avoid collisions between two arms (self-collision) and collisions between an arm and the environment (environment-collision). Therefore, based on the self-motion characteristics of the dual-arm robot's redundant arms, an improved motion controlling algorithm is proposed. This study introduces several key improvements to existing methods. Firstly, the volume of the robotic arms was modeled using a capsule-enveloping method to more accurately reflect their actual structure. Secondly, the gradient projection method was applied in the kinematic analysis to calculate the shortest distances between the left arm, right arm, and the environment, ensuring effective avoidance of the self-collision and environment-collision. Additionally, distance thresholds were introduced to evaluate collision risks, and a velocity weight was used to control the smooth coordinating arm motion. After that, experiments of coordinating obstacle avoidance showed that when the redundant dual-arm robot is holding an object, the coordinating operation was completed while avoiding self-collision and environment-collision. The collision-avoidance method could provide potential benefits for various scenarios, such as medical robots and rehabilitating robots.

The relationship between chronic disease variety and quantity and suicidal ideation: A cross-sectional study of NHANES.

BACKGROUND: This cross-sectional study examines the link between chronic diseases and suicidal thoughts in U.S. adults using 2013-2018 National Health and Nutrition Examination Survey (NHANES) data, aiming to identify potential risk factors for suicidal ideation. METHODS: Using NHANES data, we analyzed the association between various chronic conditions (hypertension, diabetes, asthma, etc.) and suicidal thoughts, employing logistic regression models adjusted for demographics and lifestyle factors. RESULTS: The analysis of 8891 participants revealed a significant association between suicidal thoughts and chronic diseases such as liver disease, diabetes, and asthma. The risk of suicidal ideation is higher with the number of chronic conditions. CONCLUSION: Our findings suggest a strong link between the presence and number of chronic diseases and the risk of suicidal thoughts, emphasizing the importance of integrated care approaches that address both physical and mental health needs.

The relationship between weight-adjusted-waist index and suicidal ideation: evidence from NHANES.

BACKGROUND: Amidst growing evidence of the intricate link between physical and mental health, this study aims to dissect the relationship between the waist-to-weight index (WWI) and suicidal ideation within a representative sample of the US population, proposing WWI as a novel metric for suicide risk assessment. METHODS: The study engaged a sample of 9500 participants in a cross-sectional design. It employed multivariate logistic and linear regression analyses to probe the association between WWI and suicidal ideation. It further examined potential nonlinear dynamics using a weighted generalized additive model alongside stratified analyses to test the relationship's consistency across diverse demographic and health variables. RESULTS: Our analysis revealed a significant positive correlation between increased WWI and heightened suicidal ideation, characterized by a nonlinear relationship that persisted in the adjusted model. Subgroup analysis sustained the association's uniformity across varied population segments. CONCLUSIONS: The study elucidates WWI's effectiveness as a predictive tool for suicidal ideation, underscoring its relevance in mental health evaluations. By highlighting the predictive value of WWI, our findings advocate for the integration of body composition considerations into mental health risk assessments, thereby broadening the scope of suicide prevention strategies.

Phyllosphere bacterial community dynamics in response to bacterial wildfire disease: succession and interaction patterns.

Plants interact with complex microbial communities in which microorganisms play different roles in plant development and health. While certain microorganisms may cause disease, others promote nutrient uptake and resistance to stresses through a variety of mechanisms. Developing plant protection measures requires a deeper comprehension of the factors that influence multitrophic interactions and the organization of phyllospheric communities. High-throughput sequencing was used in this work to investigate the effects of climate variables and bacterial wildfire disease on the bacterial community's composition and assembly in the phyllosphere of tobacco (Nicotiana tabacum L.). The samples from June (M1), July (M2), August (M3), and September (M4) formed statistically separate clusters. The assembly of the whole bacterial population was mostly influenced by stochastic processes. PICRUSt2 predictions revealed genes enriched in the M3, a period when the plant wildfire disease index reached climax, were associated with the development of the wildfire disease (secretion of virulence factor), the enhanced metabolic capacity and environmental adaption. The M3 and M4 microbial communities have more intricate molecular ecological networks (MENs), bursting with interconnections within a densely networked bacterial population. The relative abundances of plant-beneficial and antagonistic microbes Clostridiales, Bacillales, Lactobacillales, and Sphingobacteriales, showed significant decrease in severally diseased sample (M3) compared to the pre-diseased samples (M1/M2). Following the results of MENs, we further test if the correlating bacterial pairs within the MEN have the possibility to share functional genes and we have unraveled 139 entries of such horizontal gene transfer (HGT) events, highlighting the significance of HGT in shaping the adaptive traits of plant-associated bacteria across the MENs, particularly in relation to host colonization and pathogenicity.