Evidence map›Paper›PMID 36124242›Full record

ArticleJournal of environmental and public health2022

Characteristics of Physical Activities and Environmental Factor Preferences of Older Adults in Rural Resettlement Community in Ningbo, China.

Shanshan Wu, Weibo Wu, Xiuming Xia, Jingjing Zhou

Open access · hybridAbstract read
In one paragraph

Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Shanshan WuSchool of Design, NingboTech University, Ningbo 315000, China.
Weibo WuQixin College, NingboTech University, Ningbo 315000, China.ORCID 0000-0002-4800-951X
Xiuming XiaSchool of Design, NingboTech University, Ningbo 315000, China.ORCID 0000-0002-5878-6734
Jingjing ZhouSchool of Design, NingboTech University, Ningbo 315000, China.
Ningbo University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As physical mobility declines, older adults become increasingly dependent on their living environment. The relationship between physical activities and community environments for older adults has been studied to help promote physical and mental health and increase social connections among older adults, thereby improving their quality of life and health status. This study analyzed the daily outdoor physical activities of older adults in Nanyu New Village, China, using behavior mapping and questionnaire research for data collection, and conducting a comprehensive analysis of the spatial, temporal, and environmental elements of the physical activities. This research showed that the physical activity choices of older adults in rural resettlement neighborhoods vary significantly by time, gender, and space. In decreasing order, surrounding support, site security, space convenience, beautiful landscape, and diverse facilities influence the outdoor physical activities of older adults. This study provides new insights into the ongoing debate on age-friendly communities and provides a useful reference for the design of age-friendly retrofitting of outdoor environments in rural resettlement communities.

Indexed as

Quality of LifeRural PopulationAgedChinaExerciseHumansResidence Characteristics

Identifiers

PMID36124242
PMCPMC9482504
OpenAlexW4295110172

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.