Evidence map›Paper›PMID 42234714›Full record

ArticlePloS one2026

Winter outdoor thermal comfort of older people with different degrees of frailty: A study in Nanyang city, China's hot-summer and cold-winter region.

Dong Yan, Peng Zhang, Zhiyuan Liu, Ran Chen, Biao Wang

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Dong YanArchitecture College, Nanyang Institute of Technology, Nanyang, China.
Peng ZhangSchool of Architecture and Engineering, Wuhan City Polytechnic, Wuhan, China.
Zhiyuan LiuArchitecture College, Nanyang Institute of Technology, Nanyang, China.
Ran ChenDepartment of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom.
Biao WangSchool of Architecture, Soochow University, Suzhou, China.ORCID https://orcid.org/0000-0002-6072-4508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The thermal comfort of outdoor environments in winter directly impacts the spatial utilization efficiency of urban parks and the physical and mental health of the elderly. This study uses Nanyang People's Park, which is popular for local elderly, as a case study. Using the FRAIL scale to categorize different levels of frailty, combined with objective microclimate field measurements and subjective thermal comfort questionnaires, the study conducts regression analysis between the calculated physiological equivalent temperature and the thermal comfort voting results. A model for evaluating the thermal comfort of older people in urban parks during winter in hot summer and cold winter regions (HSCW) is established. The study also explores the relationships between physical, personal, social, and psychological factors and the outdoor thermal comfort of the elderly, as well as the differences in thermal adaptation among older people with varying degrees of frailty. The research findings show that the neutral temperature for no frailty is 10.29°C, 9.60°C for pre-frailty, and 8.65°C for severe frailty. As the degree of frailty increases, the outdoor thermal sensitivity of the older people gradually weakens. The adaptive behaviors of older people with different levels of frailty are greatly influenced by their specific environment. The research results provide basic data reference for the design of aging-friendly urban parks in HSCW, and also provide a renovation reference for relevant government departments to formulate the thermal comfort standards of urban parks.

Indexed as

Frail ElderlyFrailtySeasonsThermal ComfortAgedAged, 80 and overChinaCitiesCold TemperatureFemaleHot TemperatureHumansTemperature

Identifiers

PMID42234714
PMCPMC13232824

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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.