Environmental contamination by potentially toxic elements remains a public health concern in groundwater-dependent regions. This exploratory community-based cross-sectional study examined associations among a historical area-level arsenic screening classification, questionnaire-derived potential-exposure indicators, and self-reported symptom count in 275 adults from 37 standardized locality clusters in Satu Mare County, Romania. The arsenic Health Risk Index (HRI) screening classification was derived entirely from drinking-water measurements collected in a preceding regional study during 2022–2024; no water samples or exposure biomarkers were obtained in the present survey. The questionnaire-derived potential exposure index was calculated as the unweighted sum of seven binary indicators covering residential, drinking-water, occupational, dental, and dietary characteristics (theoretical range, 0–7; observed range, 0–6) and was analyzed continuously. Symptom count (theoretical range, 0–8) was analyzed primarily using negative binomial regression with locality-clustered standard errors and adjustment for age, sex, smoking, alcohol consumption, HRI classification, and self-reported comorbidity. Each one-point increase in the potential exposure index was associated with a modestly higher expected symptom count (adjusted incidence rate ratio = 1.106, 95% CI: 1.031–1.186; p = 0.005), whereas the area-level HRI classification was not statistically associated with symptom count (adjusted incidence rate ratio = 1.135, 95% CI: 0.829–1.554; p = 0.431). The association remained positive across alternative index specifications, although the drinking-water-focused estimate was smaller and less precise. These findings represent exploratory associations between reported potential-exposure characteristics and nonspecific self-reported symptoms; they do not establish individual arsenic exposure, contaminant-specific effects, or causality.
Dana Claudia Filipoiu, D. Gîtea, Manuela Bianca Pașca et al.· Journal of Xenobiotics· 0 citations
Medicinal plants constitute an essential component of global biodiversity and have long served as a primary source of traditional and modern therapeutic agents. Forest ecosystems harbor a significant proportion of medicinal plant diversity, providing habitats for numerous species with recognized pharmacological value. However, increasing anthropogenic pressures, including habitat destruction, overexploitation, land-use change, forest fragmentation, and climate change, have contributed to the decline of many medicinal plant populations worldwide. Consequently, a growing number of medicinal forest species are now classified as endangered, threatened, vulnerable, or protected under national and international conservation frameworks. This review synthesizes current scientific knowledge on endangered and protected medicinal plants found in forest ecosystems. A mixed-methods approach combining bibliometric assessment and qualitative literature analysis was employed to evaluate publication trends, geographical distribution, research hotspots, ecological characteristics, genetic resources, pharmacological properties, and conservation strategies related to threatened medicinal forest species. The review identified 77 medicinal plant species of conservation concern distributed across diverse forest regions worldwide, with the highest research activity originating from Asia, particularly India and China. The findings highlight the ecological importance and therapeutic potential of these species while emphasizing the critical threats posed by habitat degradation, unsustainable harvesting, and climate change. Advances in habitat suitability modeling, molecular genetics, ex situ propagation, and conservation planning have improved opportunities for species protection; however, significant knowledge gaps remain regarding population dynamics, long-term conservation effectiveness, and sustainable utilization. Strengthening integrated conservation approaches that combine habitat protection, sustainable management, scientific research, and traditional ecological knowledge is essential for safeguarding endangered medicinal forest plants and ensuring their continued contribution to biodiversity conservation, healthcare, and future drug discovery.
Ruben Budău, M. Bei, D. Dejeu et al.· Plants· 0 citations