Evidence map›Paper›PMID 41432853›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2026

Active Travel Commuting and Autonomic Stress Recovery in Urban Populations.

Liang Ma

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 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

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

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

1 author.

Liang MaDepartment of Urban and Regional Planning, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China. liang.ma@pku.edu.cn.ORCID http://orcid.org/0000-0002-3013-4726

Funding

National Natural Science Foundation of China 42171190National Natural Science Foundation of China 42371199
6 · The paper itself

Abstract

Urban commuters increasingly face chronic stress, a known risk factor for cardiovascular and mental health issues. Active travel modes-such as walking or cycling-can potentially mitigate stress by integrating physical activity into daily routines; however, their effect on autonomic stress regulation remains unclear. This study aims to examine how different commuting modes influence autonomic nervous system recovery from stress in real-world urban environments. We analyzed minute-by-minute heart rate variability (HRV) data collected by wearable devices from 200 urban commuters in Beijing over 1 week, capturing HRV before, during, and after daily commutes. Active commuters demonstrated a 7.6% faster return to baseline HRV compared with passive commuters, indicating a more rapid recovery from commuting-induced stress. Notably, while overall active commuting supported faster recovery, higher levels of moderate-to-vigorous physical activity during the commute were associated with slower short-term recovery, suggesting that the intensity of exertion matters. These findings highlight that active commuting enhances both physical fitness and stress resilience, while emphasizing the importance of comfortable, moderate-intensity active travel conditions. The results support targeted investments in pedestrian and cycling infrastructure-particularly routes that are safe, connected, and designed to avoid excessive physical strain-to foster healthier, less stressed urban populations.

Indexed as

Autonomic Nervous SystemBicyclingExerciseStress, PsychologicalTransportationUrban PopulationWalkingAdultBeijingFemaleHeart RateHumansMaleMiddle AgedYoung AdultActive travel commutingAutonomic stress recoveryHeart rate variabilityUrban commutersUrban population

Identifiers

PMID41432853
PMCPMC13136471

What OpenQuestion holds

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Registered trials

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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.