arXiv:2608. 04016v1 Announce Type: cross Abstract: Social disadvantage is associated with multimorbidity, but the pathways linking social conditions to disease burden remain poorly understood.
By Cong Cao, Shuangge Ma
arXiv:2607. 04520v1 Announce Type: new Abstract: Active mobility is widely promoted for sustainable and healthier living, but whether it translates into equitable mental health benefits across individuals and places over time remains unknown.
By Shujuan Chen, Yue Li, Ying Jin
The study explores whether environmental data can enhance EEG-based affective-state classification by treating such data as literature-informed priors. Using a dual‑tower model that fuses EEG-Conformer representations with a graph‑based environmental encoder, the authors achieve 76.2% accuracy versus 67.4% for EEG alone on a dataset from Astana. Experiments with controls, dose‑response reversal, and domain‑shift show that the improvement is not solely due to environmental information, and replacing Astana’s environmental distribution with Singapore’s reduces accuracy to 72.8%.
By Utsav Poudel, Jagannath Aryal, Subramaniyaswamy Vairavasundaram
arXiv:2606. 15257v1 Announce Type: new Abstract: Air pollution regulation is central to urban public health governance, but estimating its effects is difficult because policies are implemented non-randomly and pollution trajectories are shaped by meteorology, socioeconomic change, temporal trends, and overlapping interventions.
By Yang Han, Jacqueline CK Lam, Victor OK Li, Yiu-Wai Man
arXiv:2606. 06174v1 Announce Type: new Abstract: Childhood asthma is a common illness exacerbated by air pollution as well as meteorological and neighborhood-level socioeconomic factors.
By Jonathan Colen, Eric Werner, Maryam Golbazi, Heather Richter, Diana McSpadden, Amy Quinn, Jocel Santos, Mary Jane Darling, Mary Margaret Gleason
The study introduces a clinician‑in‑the‑loop benchmark to assess whether large language models can generate evidence‑grounded Brief Hierarchical Taxonomy of Psychopathology (B‑HiTOP) item profiles from multimodal data, including passive sensing, ecological momentary assessment, and questionnaires. Using the GLOBEM dataset, the authors create 14,592 participant‑day instances aligned to 29 B‑HiTOP items across five spectra, and evaluate evidence compatibility rather than diagnostic accuracy. Two‑stage prediction improves compatibility for EMA and questionnaire evidence but reduces it for passive sensing and combined evidence, yielding more conservative score distributions across models, spectra, and evidence settings.
By Xiyun Hu, Xiangyuan Xue, Yuting Lyu, Hanya Shao, Jingping Nie