Evidence map›Paper›PMID 41196685›Full record

ArticleACS nano2025

Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem.

Hongwei Chu, Wooyoung Park, Yue Hu, Zhenhe Huang, Rui Shi, Jiyu Li, Zhiyuan Li, Mengge Wu, Yuyu Gao, Guangyao Zhao and 14 more

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Hongwei ChuDepartment of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.ORCID 0000-0002-8515-1363
Wooyoung ParkDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.ORCID 0000-0003-2250-3613
Yue HuSchool of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.
Zhenhe HuangDepartment of Geriatrics, Xiehe Shenzhen Hospital, Huazhong University of Science and Technology, Shenzhen 518052, China.
Rui ShiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Jiyu LiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Zhiyuan LiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Mengge WuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Yuyu GaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Guangyao ZhaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Xingcan HuangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.ORCID 0000-0003-4210-2470
Chun Ki YiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Binbin ZhangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Dengfeng LiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Kuanming YaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Jian LiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.ORCID 0000-0002-9768-0932
Yuan GuoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Ya HuangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Qiuqian OuDepartment of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Guoqiang XuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Pengcheng WuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Jiao YangDepartment of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.ORCID 0009-0007-4967-1349
Yingchun LiDepartment of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.ORCID 0000-0002-5371-3587
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.ORCID 0000-0003-0522-1171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental stress has been a paramount concern worldwide, serving as a critical element for the optimal functioning and thriving of families, communities, and societies. However, the evaluation of the mental stress state in current clinical practice relies on symptom criteria associated with self-reported psychometric tools and behavioral manifestations, which raises the concerns of both accuracy issue and difficulty in identifying classifications. Continuous and quantitative assessments of mental stress-related physical/biomarkers based on wearable technologies is a very feasible way to solve the hurdle, while the implementation of such technology at clinical scales remains quite challenging and has yet to be documented. Herein, we report the collection of advances in sensing strategies, system integration, and model construction for mental health monitoring and management. A set of physical/biomarkers (cortisol, glucose, body temperature, and heart rate) are selected based on the systematic studies on the stress-correlated physiological pathways to form the marker panel. Corresponding stable and sustainable sensing systems are established upon the optimization of nanomaterials and nanostructure design. Comprehensive indicators are further generated based on algorithm bonuses for acute and chronic stress assessment. The fully integrated reusable wearable biosystem demonstrates its effectiveness in identifying, quantifying, and tracking the prognosis of stress in paradigmatic stress scenarios and clinical applications of social anxiety disorder/depression. The technology reported here presents a promising solution for customized mental stress management to facilitate the development of healthcare in psychological well-being.

Indexed as

Biosensing TechniquesMental HealthStress, PsychologicalWearable Electronic DevicesBiomarkersChronic DiseaseHumansHydrocortisoneBiomarkersHydrocortisoneflexible electronicshealth managementmental stresssweat sensorwearable biosensor

Identifiers

PMID41196685
PMCPMC12817249

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.