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Treated municipal wastewater effluent is an important pathway for Contaminants of Emerging Concern (CEC) to enter aquatic ecosystems. As the aging wastewater infrastructure in many industrialized countries requires upgrades or replacement, assessing new treatment technologies in the context of CEC effects may provide additional support for science-based resource management. Here, we used three lines of evidence, analytical chemistry, fish exposure experiments, and fish and water microbiome analysis, to assess the effectiveness of membrane bioreactor treatment (MBR) to replace traditional activated sludge treatment.

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Introduction: Older adults represent a growing proportion of the general population. Nonsteroidal anti-inflammatory drugs (NSAIDs) constitute a group of medicines that are both necessary, owing to their anti-inflammatory, analgesic, and cardioprotective abilities, and potentially harmful, owing to their side effects.

Objectives: This study provides a comprehensive analysis of NSAID usage patterns among Polish adults aged 60 years and older.

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Self-perceived and measured visual function, the impact of eye-disease, wellbeing, social determinants, and personality traits in Swedish 70-year-olds-results from the Gothenburg H70 Study.

Acta Ophthalmol

January 2025

Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Purpose: To explore the potential correlation between subjective and measured visual function, as well as to analyse the influence of eye disease, socioeconomic factors and emotional dimensions.

Methods: Semi-structured interviews, physical examinations and functional tests (n = 1203). Demographics covered sex, marital status, education, household economy, smoking and alcohol.

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A healthy diet is a key determinant of successful aging. However, the psychological, social, and physiological changes associated with ageing often disrupt dietary behaviours. Hungary has one of the highest rates of chronic age-related diseases in the European Union, exacerbated by unhealthy dietary patterns and rapid population aging.

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Biological brain age is a brain-predicted age using machine learning to indicate brain health and its associated conditions. The presence of an older predicted brain age relative to the actual chronological age is indicative of accelerated aging processes. Consequently, the disparity between the brain's chronological age and its predicted age (brain-age gap) and the factors influencing this disparity provide critical insights into cerebral health dynamics during aging.

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