Evidence map›Paper›PMID 39005992›Full record

ArticleFrontiers in public health2024

Nonlinear and threshold effects of built environment on older adults' walking duration: do age and retirement status matter?

Jiani Wu, Chaoyang Li, Li Zhu, Xiaofei Liu, Bozhezi Peng, Tao Wang, Shengqiang Yuan, Yi Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

8 authors.

Jiani WuState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China.
Chaoyang LiState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China.
Li ZhuJSTI Group, Nanjing, China.
Xiaofei LiuKey Laboratory of Advanced Public Transportation Science, China Academy of Transportation Sciences, Ministry of Transport, Beijing, China.
Bozhezi PengState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China.
Tao WangState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shengqiang YuanShanghai Municipal Engineering Design Institute (Group) Co., Ltd., Shanghai, China.
Yi ZhangState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Walking plays a crucial role in promoting physical activity among older adults. Understanding how the built environment influences older adults' walking behavior is vital for promoting physical activity and healthy aging. Among voluminous literature investigating the environmental correlates of walking behaviors of older adults, few have focused on walking duration across different age groups and life stages, let alone examined the potential nonlinearities and thresholds of the built environment. Methods: This study employs travel diary from Zhongshan, China and the gradient boosting decision trees (GBDT) approach to disentangle the age and retirement status differences in the nonlinear and threshold effects of the built environment on older adults' walking duration. Results: The results showed built environment attributes collectively contribute 57.37% for predicting older adults' walking duration, with a higher predicting power for the old-old (70+ years) or the retired. The most influencing built environment attribute for the young-old (60-70 years) is bus stop density, whereas the relative importance of population density, bus stop density, and accessibility to green space or commercial facilities is close for the old-old. The retired tend to walk longer in denser-populated neighborhoods with better bus service, but the non-retired are more active in walking in mixed-developed environments with accessible commercial facilities. The thresholds of bus stop density to encourage walking among the young-old is 7.8 counts/km Discussion: Overall, the findings provide nuanced and diverse interventions for creating walking-friendly neighborhoods to promote walking across different sub-groups of older adults.

Indexed as

Built EnvironmentRetirementWalkingAgedAged, 80 and overAge FactorsChinaEnvironment DesignFemaleHumansMaleMiddle AgedResidence CharacteristicsTime Factorsage differencesbuilt environmentmachine learningolder adultsretirement statuswalking duration

Identifiers

PMID39005992
PMCPMC11239551

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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.