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Showing 1–9 of 9 results
Advanced filters: Author: Kerstin Schepanski Clear advanced filters
  • Greenhouse gas emissions and air pollution have changed the composition of the atmosphere, and thereby initiated global warming and reduced air quality. Our editorial board members note the need for a deeper understanding of atmospheric fluxes and processes to tackle climate and human health issues.

    • Joshua Dean
    • Astrid Kiendler-Scharr
    • Ralf Zimmermann
    Comments & OpinionOpen Access
    Communications Earth & Environment
    Volume: 2, P: 1-4
  • This Comment explores new approaches to enrich large-scale population data, including incorporating macro-environmental and digital health measures.

    • Frauke Nees
    • Paul Renner
    • George Ogoh
    Comments & Opinion
    Nature Mental Health
    Volume: 2, P: 1124-1127
  • Analyses of data from the UK Biobank reveal different urban living environments that are associated with affective, anxiety and emotional instability symptom groups and mediated by distinct neurological and genetic pathways in adults.

    • Jiayuan Xu
    • Nana Liu
    • George Ogoh
    ResearchOpen Access
    Nature Medicine
    Volume: 29, P: 1456-1467
  • Exposure to poor air quality can damage human health and incur associated costs. The severity of these impacts is not uniform around the globe, but depends on the health and density of the populations.

    • Kerstin Schepanski
    Comments & OpinionOpen Access
    Communications Earth & Environment
    Volume: 4, P: 1-2
  • Integrative analyses that incorporate different levels of ‘-omics’ data represent a powerful tool for deciphering the biological mechanisms that underlie environmental influences on mental health and disease. This Comment highlights various aspects of such multi-omics approaches, using the example of the EU-funded environMENTAL project.

    • Sylvane Desrivières
    • Abigail Miller
    • George Ogoh
    Comments & Opinion
    Nature Mental Health
    Volume: 2, P: 1131-1133
  • This Comment presents a high-level protocol for data harmonization within large cohorts, in which it postulates four main steps including (1) expert review, (2) pre-statistical harmonization, (3) statistical harmonization, and (4) validation.

    • Maja Neidhart
    • Rikka Kjelkenes
    • George Ogoh
    Comments & Opinion
    Nature Mental Health
    Volume: 2, P: 1134-1137
  • The focus of much of contemporary research ethics is on compliance with established protocols. However, large data-driven neuroscience research raises new ethical concerns that have no agreed-upon solution. Here we reflect on these challenges and propose better integration of public and patient involvement in this evolving landscape.

    • Bernd Carsten Stahl
    • George Ogoh
    • Bernd Stahl
    Comments & Opinion
    Nature Mental Health
    Volume: 2, P: 1128-1130