Search Results (10,788)

Background/Objectives: Breastfeeding is key to maternal and child health, but adherence to WHO recommendations varies worldwide and is influenced by several maternal and paternal factors. In this study, we aim to describe the prevalence of breastfeeding practices and adherence to WHO guidelines among women, and to explore the maternal and paternal characteristics associated with these practices. Methods: Data were obtained from the “MAMI-MED” cohort, which included women enrolled during the first trimester of pregnancy at ARNAS Garibaldi Nesima in Catania (Italy). Breastfeeding practices and parental characteristics were assessed through interviews conducted at 12- and 24-month follow-ups. Results: The analyses involved 1312 women enrolled between December 2020 and October 2023. Mothers who breastfed, particularly those who exclusively breastfed for the first six months, showed a more favorable socioeconomic profile. Women with a medium (OR = 1.781; 95% CI: 1.258–2.521; p = 0.001) and high level of education (OR = 3.892; 95% CI: 2.255–6.718; p < 0.001), as well as those who had a spontaneous delivery (OR = 1.461; 95% CI: 1.090–1.958; p = 0.011), were more likely to breastfeed. Similarly, adherence to WHO recommendations was higher among women with a medium (OR = 2.144; 95% CI: 1.339–3.433; p = 0.002) and high education levels (OR = 2.611; 95% CI: 1.489–4.580; p < 0.001), non-smokers (OR = 2.256; 95% CI: 1.158–4.395; p = 0.017), and those with adequate gestational weight gain (OR = 1.506; 95% CI: 1.035–2.189; p = 0.032). Conclusions: Sociodemographic and behavioral factors, particularly maternal education, smoking status, mode of delivery, and gestational weight gain, significantly influence breastfeeding practices and adherence to WHO recommendations. These findings highlight the importance of targeted interventions to support breastfeeding, especially among women with less favorable socioeconomic profiles. Full article

Background/Objectives: Fetal exposure to essential metals, such as iron (Fe), zinc (Zn), copper (Cu), and manganese (Mn), is influenced by maternal nutrition and lifestyle during pregnancy, potentially impacting newborn health. This study aimed to quantify concentrations of these metals in meconium and evaluate their associations, together with newborn length and weight, in relation to maternal dietary and lifestyle factors. Methods: This cross-sectional study included 152 mother–infant pairs recruited from various regions of Split-Dalmatia County, Croatia. Meconium samples were collected within 24 h after birth and analyzed for Fe, Zn, Cu, and Mn concentrations. Maternal characteristics, dietary intake, supplement use, and lifestyle factors were collected via structured questionnaires and supplemented by hospital records. Associations among maternal factors, meconium metal concentrations, and newborn birth weight and length were assessed using non-parametric statistical methods. Results: Meconium concentrations of Fe, Zn, Cu, and Mn showed substantial interindividual variability, with a strong positive correlation between Fe and Cu. Higher maternal pre-pregnancy BMI was linked to lower meconium Fe, while BMI at delivery was associated with Zn. Dietary patterns influenced metal levels: higher fruit intake was linked to increased Cu, greater vegetable intake with lower Fe, and moderate tea consumption with higher Zn. No significant associations were found with maternal smoking, residence, or supplement use. Maternal meat consumption and higher pre-pregnancy BMI were both associated with higher newborn birth weight and length. Conclusions: Maternal BMI and specific dietary patterns during pregnancy significantly influence essential metal concentrations in newborn meconium and are associated with newborn size, highlighting the importance of balanced maternal nutrition and healthy metabolic status during pregnancy. Full article

Background/Objectives: Hypertension is a growing public health concern in Saudi Arabia, driven by rapid socioeconomic changes. This study investigated the interplay between habitual, behavioral, and dietary risk factors associated with hypertension among Saudi adults. Methods: A cross-sectional survey was conducted among 3312 Saudi adults using multistage stratified random sampling. The data were collected via validated questionnaires assessing sociodemographic, anthropometric indicators, lifestyle behaviors, dietary patterns, and medical history. Hypertension status was determined through self-reported diagnosis. Bivariate analyses and multiple logistic regression identified independent predictors (p < 0.05). Results: Hypertension prevalence was 13% (mean age: 34 ± 15 years; 50% male). The strongest predictors were age (OR = 1.08/year; 95% CI: 1.07–1.10; p < 0.001), increased body mass index (OR = 1.03; 95% CI: 1.01–1.06; p = 0.011), smoking (OR = 1.55; 95% CI: 1.04–2.29; p = 0.030), and family history of hypertension (OR = 7.71; 95% CI: 5.61–10.75; p < 0.001). Participants with diabetes mellitus had 89% higher odds of hypertension (OR = 1.89; 95% CI: 1.42–2.51; p < 0.001), and those with dyslipidemia had more than double the odds (OR = 2.45; 95% CI: 1.38–4.22; p = 0.002). Protective factors included higher income (≥15,000 SAR; OR = 0.54; 95% CI: 0.36–0.81; p = 0.003) and regular whole grain consumption (OR = 0.60; 95% CI: 0.46–0.77; p < 0.001). Conclusions: Hypertension risk in Saudi adults is shaped by age, obesity, smoking, comorbid metabolic conditions (diabetes and dyslipidemia), and genetic pre-disposition. In contrast, higher income and whole grain intake may offer protection. These findings underscore the need for comprehensive prevention strategies that address both lifestyle and cardiometabolic comorbidities, in alignment with Saudi Vision 2030 health priorities. Full article

Massive wildfires release enormous amounts of biomass-burning (BB) aerosols into the atmosphere, which might have a major impact on its thermal and radiative budget, as well as the environment and human health. This work presents the results of a study and characterization of a long-range transport episode of smoke aerosols from Canadian forest fires towards the entirety of Europe, as observed over Sofia, Bulgaria, in early October 2023. This study makes use of data from combined lidar, ceilometer, and sun-photometer measurements, supported by model and forecast data, meteorological radiosonde profiling, and (re)analyses, together with tracking and mapping of the aerosol air transport. A distinctive feature of the considered episode over Europe is the downward movement of the air masses, entraining smoke aerosols from the continental mid-troposphere down to the near-surface layers. The driving mechanism of the long-range transport of BB aerosols and their spread over Europe is revealed. Optical parameters of the registered aerosols are determined and vertically profiled with a high range resolution by lidar data analysis. A wide set of columnar optical and microphysical aerosol characteristics is also provided by sun-photometer measurements. The results show a dominance of relatively fine modes of dry smoke particles in the submicron size range, with a predominantly low degree of non-sphericity, indicating minimal up-size aging during the BB aerosol transport from Canada to the Sofia region. The average daily aerosol radiative forcing is determined by sun-photometer measurements and briefly discussed. Full article

Volatile organic compounds (VOCs) are common indoor air pollutants known to pose significant health risks, yet little is known about how internal exposure varies across populations and environments. This study investigated the associations between indoor air pollutants and urinary VOC biomarkers in a nationally representative sample. We analyzed data from 1880 adults in the eighth Korea National Health and Nutrition Examination Survey (2020–2021) who completed an indoor air quality (IAQ) survey and provided urine samples, assessing the influence of sociodemographic, behavioral, and environmental factors. Indoor concentrations of PM_2.5, CO₂, formaldehyde, total VOCs, benzene, ethylbenzene, toluene, xylene, and styrene were measured, alongside the urinary concentrations of nine VOC biomarkers. Associations between pollutants, sociodemographic variables, and biomarkers were evaluated using univariate and multivariable linear regression with Bonferroni correction. Older age, female, lower socioeconomic status (SES), and smoking were associated with higher urinary VOC biomarker concentrations, with smoking showing the strongest associations. Indoor ethylbenzene, styrene, benzene, and CO₂ were also associated with multiple metabolites. These findings indicated significant associations between household air pollutants and urinary VOC metabolites, with disparities by age, sex, SES, and smoking status, underscoring the importance of targeted IAQ interventions for vulnerable populations. Full article

Chemical hazards in food present a significant health risk. The objective of our review is to understand health risks associated with chemical contaminants in products of animal origin (POAO) in Cambodia, where there is no known published study. We followed the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA) guidelines. A total of 23 reports were included for review. The findings are presented according to the PRISMA guidelines. The studies mostly focused on fishery products, with arsenic and mercury being the most frequently studied hazards. The evidence of banned substances such as chloramphenicol and certain organochlorine pesticides (OCPs), including chlordane and Mirex, was reported in fish and meat. Additionally, mercury levels were measured in beef, pork, viscera, and eggs, but the average concentration remained significantly below the hazard index. The average concentration of polycyclic aromatic hydrocarbons (PAH) in smoked fish exceeded the EU limits, ranging from 0.034 to 17.2 mg/kg, with an average mean concentration of 1.92 mg/kg. The pooled geometric means of arsenic and mercury in fish were 0.40 mg/kg (95% CI: 0.25–0.66) and ~0.14 mg/kg (95% CI: 0.087 to 0.223), respectively. The health risk of mercury contamination in fishery products needs the attention of the risk managers. However, industrial contaminants such as polybrominated diphenyl ethers (PBDEs) and butyl tin in marine fishes were lower than those reported elsewhere, such as Japan. We discuss the implications of the findings for human health and national food control systems (NFCS), the capacity of different agencies to undertake chemical risk assessment, the utility of systematic literature reviews (SLRs) for risk assessment and communication in low- and middle-income countries (LMICs), and the need for further research. Full article

To enhance the understanding and management of fire risks in subway stations, this study aims to identify critical fire risk transmission paths using an integrated PSR–DEMATEL–ISM approach. A comprehensive evaluation framework is first constructed based on the Pressure–State–Response (PSR) model, systematically categorizing 22 influencing factors into three dimensions: pressure, state, and response. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is then employed to analyze the causal relationships and centrality among these factors, distinguishing between cause and effect groups. Subsequently, Interpretive Structural Modeling (ISM) is applied to organize the factors into a multi-level hierarchical structure, enabling the identification of risk propagation pathways. The analysis reveals five high-centrality and high-causality factors: fire safety education and training, completeness of fire management rules and regulations, fire smoke detection and firefighting capability, operational status of monitoring equipment, and effectiveness of emergency response plans. Based on these key drivers, six major transmission paths are derived, reflecting the internal logic of fire risk evolution in subway environments. Among them, chains originating from Fire Safety Education and Training (S6), Architectural Fire Protection Design (S7), and Completeness of Fire Management Rules and Regulations (S16) exhibit the most significant influence on system-wide safety performance. This study provides theoretical support and practical guidance for proactive fire prevention and emergency planning in urban rail transit systems, offering a structured and data-driven approach to identifying vulnerabilities and improving system resilience. Full article

Immigrants represent 20.8% of Norway’s population, with 22.2% aged 50+. This study aimed to assess oral health-related behaviors and perceived oral health in relation to sociodemographic factors among elderly immigrants aged 50+. Methods: 174 participants (94% response rate). Data on sociodemographic, oral hygiene, diet, snus use, xerostomia, and halitosis were collected using the self-reported questionnaire. p-value < 0.05 indicates statistical significance. Results: Participants’ mean age was 60.7, with 60% reporting poor self-perceived oral health, and over 64% had missing teeth. Participants reported poor oral hygiene habits (35.1%, n = 61), frequent sugar consumption (51.1%, n = 89), and smoking (16.1%, n = 28). Poor oral health was more common in those aged 60 and over (OR = 2.5, CI: 1.1–5.8) and with a narrow social network (OR = 3.8, CI: 1.7–8.5). Women had lower odds of sugar consumption (OR = 0.38, CI: 0.18–0.8) and smoking (OR = 0.27, CI: 0.09–0.7), but living in Norway for less than 3 years increased smoking odds (OR = 4.5, CI: 1.2–15.8). Moreover, being unmarried (OR = 5.5, p = 0.008), recent immigration (OR = 24.3, p < 001), and a narrow social network (OR = 4.7, p = 0.004) were associated with higher odds of missing teeth. Conclusions: Elderly immigrants in Norway reported poor oral health, tooth loss, and unhealthy dietary and hygiene habits, highlighting the need for targeted interventions. Full article

Forest fires pose a significant threat to human life and property. The early detection of smoke and flames can significantly reduce the damage caused by forest fires to human society. This article presents an SFGI-YOLO model based on YOLO11n, which demonstrates outstanding advantages in detecting forest fires and smoke, particularly in the context of early fire monitoring. The main principles of the algorithm include the following: first, a small-object detection head P2 is added to better extract shallow feature information; a Feature Enhancement Module (FEM) is utilized to increase feature richness, expand the receptive field, and enhance detection capabilities for small objects across multiple scales; the lightweight GhostConv is employed to significantly reduce computational costs and decrease the number of parameters; and Inception DWConv is combined with a C3k2 module to utilize multiple parallel branches, thereby enlarging the receptive field. The improved algorithm achieved a mean Average Precision (mAP50) of 95.4% on a custom forest fire dataset, surpassing the YOLO11n model by 1.8%. This model offers more accurate detection of forest fires, reducing both missed detections and false positives and thereby meeting the high precision and real-time detection requirements in forest fire monitoring. Full article

Objective: This study aims to identify clinically relevant lactylation-related biomarkers in chronic obstructive pulmonary disease (COPD) and investigate their potential mechanistic roles in COPD pathogenesis. Methods: Differentially expressed genes (DEGs) were identified from the GSE21359 dataset, followed by weighted gene co-expression network analysis (WGCNA) to detect COPD-associated modules. Least absolute shrinkage and selection operator (LASSO) regression and support vector machine–recursive feature elimination (SVM–RFE) algorithms were applied to screen lactylation-related biomarkers, with diagnostic performance evaluated through the ROC curve. Candidates were validated in the GSE76925 dataset for expression and diagnostic robustness. Immune cell infiltration patterns were exhibited using EPIC deconvolution. Single-cell transcriptomics (from GSE173896) were processed via the ‘Seurat’ package encompassing quality control, dimensionality reduction, and cell type annotation. Cell-type-specific markers and intercellular communication networks were delineated using the ‘FindAllMarkers’ package and the ‘CellChat’ R package, respectively. In vitro validation was conducted using a cigarette smoke extract (CSE)-induced COPD model. Results: Integrated transcriptomic approaches and multi-algorithm screening (LASSO/Boruta/SVM–RFE) revealed carbonyl reductase 1 (CBR1) and peroxiredoxin 1 (PRDX1) as core COPD biomarkers enriched in oxidation–reduction and inflammatory pathways, with high diagnostic accuracy (AUC > 0.85). Immune profiling and scRNA-seq delineated macrophage and cancer-associated fibroblasts (CAFs) infiltration with oxidative-redox transcriptional dominance in COPD. CBR1 was significantly upregulated in T cells, neutrophils, and mast cells; and PRDX1 showed significant upregulation in endothelial, macrophage, and ciliated cells. Experimental validation in CSE-induced models confirmed significant upregulation of both biomarkers via transcription PCR (qRT-PCR) and immunofluorescence. Conclusions: CBR1 and PRDX1 are lactylation-associated diagnostic markers, with lactylation-driven redox imbalance implicated in COPD progression. Full article

Karrikins, a class of butenolide compounds derived from plant-derived smoke, positively regulate plant development and stress tolerance. However, their effects on postharvest fruit have scarcely been reported. In this study, karrikin solution was prepared by absorbing maize straw smoke into water, and kiwifruits (Actinidia deliciosa) were immersed in different concentrations of this solution to determine the optimal concentration based on respiratory rate, relative conductivity, firmness, soluble solids content, and appearance of the kiwifruits. Subsequently, the regulation of reactive oxygen species (ROS) and soluble sugars metabolism by karrikins were studied. The results showed that the optimal dose of karrikins for kiwifruit was 1.20 μmol L⁻¹. Karrikins enhanced the activities of superoxide dismutase, catalase, enzymes in the ascorbate–glutathione pathway, and soluble sugars metabolism, increased the concentrations of reducing ascorbate, glutathione, sucrose, and fructose-6-phosphate, suppressed ROS concentrations, and maintained the quality of kiwifruit during storage. These results suggest that karrikins could be a potential tool to modulate fruit ripening, with their effects depending on the dosage used. Full article

Fire smoke significantly affects human health and air quality. The HYSPLIT dispersion model estimates the area impacted by smoke downwind, but the results are sensitive to input data. This study investigates the impact of different fire emission inputs on dispersion modeling results, focusing on three versions of the Wildland Fire Emissions Inventory System (WFEIS) used to initialize HYSPLIT. The three input datasets include MODIS (FEI_BASE), a combination of MODIS and MTBS (FEI_COMBO), and a version incorporating a cloud cover regression (FEI_COMBO+CC). Dispersion modeling results are compared across the western U.S. for 2013, 2016, and 2018, showing a variation of up to 200% in results depending on the emissions input. Model results are evaluated with ground-based PM_2.5 data and visible satellite imagery. The cloud cover regression improves the identification of fire days missed by FEI_BASE potentially impacting health effect studies. Correlations between modeled PM_2.5 and EPA data improve with FEI_COMBO+CC, particularly in 2013 and 2016, making it a stronger candidate for use in research on health effects. Despite some variability in RMSE, the higher correlation observed with FEI_COMBO+CC supports its use as a more accurate representation of fire-related PM_2.5 transport. Full article

In the pursuit of sustainable and circular energy sources, this study examines the potential of tire pyrolysis oil (TPO) as a diesel fuel substitute when combined with hydrotreated vegetable oil (HVO), a second-generation biofuel. At varying TPO-HVO blend percentages, this investigation evaluates engine performance and emissions in relation to critical fuel parameters, including density, viscosity, and lubricity. The high-frequency reciprocating rig (HFRR) method was employed to examine tribological aspects, and a single-cylinder diesel engine was tested under various load conditions. The findings indicated that blends containing up to 30% TPO maintained sufficient lubrication and engine performance to comply with diesel standards, concurrently reducing carbon monoxide and smoke emissions. The increase in TPO proportion resulted in a decrease in cetane number, an increase in NOx emissions, and a rise in viscosity, particularly under full engine load conditions. The utilization of TPO is crucial for converting tire waste into fuel, as it mitigates the accumulation of tire waste and reduces dependence on fossil fuels, despite existing challenges. This study provides critical insights into the efficacy of blending methods and underscores the necessity of additional fuel refining processes, such as cetane enhancement and desulfurization, to facilitate their integration into transportation energy systems. Full article

(1) Background: Psychological distress causes increased smoking frequency. Thus, financial distress (FD), a type of psychological distress, during the COVID-19 pandemic recession is possibly associated with increased smoking frequency. We studied the association between disrupted employment or earnings-associated FD and the number of cigarettes smoked daily, as well as the effects of pre-pandemic regular monthly incomes on the association. (2) Methods: We retrieved the collected data from a former nationwide and community-based study regarding the psycho-socio-economic characteristics of Thai people during the third wave of the COVID-19 pandemic in Thailand in 2021. The participants for this study were current smokers aged ≥ 18 years. General demographics, perceived FD, and pre-pandemic regular monthly incomes were analyzed. Descriptive statistics and multivariate logistic regression with sampling weight adjustments were the analyses used (p < 0.05). (3) Results: 849 current smokers were suitable for statistical analyses. We found that 664 (12.9%) of participants experienced FD, but it did not significantly affect smoking frequency. However, those who had FD and regularly earning ≥ THB 10,000 ($271.11 US) per month was significantly associated with increased daily cigarette use, after adjusting for age and sex (adjusted OR = 2.74; 95% CI = 1.18, 6.37, p = 0.020). (4) Conclusion: FD alone did not affect daily smoking frequency. Understanding the psycho-socio-economic factors is necessary for smoking control during the COVID-19 economic recession. Full article

Background: In this study, we investigated patients in the early stages of COPD to support the hypothesis that symptoms of anxiety and depression are related to mild and moderate COPD and not only to the chronic complications that accompany severe disease. Methods: A total of 250 mild to moderate COPD patients were randomly selected from a population of 5239 individuals who were part of a study on early COPD detection and smoking cessation that was carried out in Central Macedonia, Greece. An age-matched control group of three hundred current or former smokers was also included. A questionnaire was used for demographic data collection, along with the Hospital Anxiety and Depression Scale (HADS) questionnaire for the evaluation of anxiety (HADS-A) and depressive (HADS-D) symptoms. Results: The COPD and non-COPD groups were similar in age, gender, and socioeconomic background. The majority of COPD patients were classified as Grade 1 or 2 and belonged to Group A or B according to the GOLD classification. Among the COPD patients, 19.6% had a score greater than 7 in the HADS-A subscale, 14% in the HADS-D subscale, and 10.8% in both, compared with 6%, 5%, and 5%, respectively, for the non-COPD individuals (p < 0.01). A regression analysis showed that the presence of at least one comorbidity (β = 0.43, p < 0.001) and the presence of at least one respiratory symptom (β = 0.49, p < 0.001) significantly predicted the total HADS score in the COPD group. Conclusions: The prevalence of depression and anxiety symptoms in early COPD patients was greater in comparison to non-COPD smokers. Implementing routine screening for mood disorders using the HADS in mild to moderate COPD outpatients may improve overall disease management and patients’ quality of life. Full article