Evidence map›Paper›PMID 32549289›Full record

ArticleInternational journal of environmental research and public health2020

Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis.

Jie-Sheng Lin, Faye Ya-Fen Chan, Jason Leung, Blanche Yu, Zhi-Hui Lu, Jean Woo, Timothy Kwok, Kevin Ka-Lun Lau

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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
3.0field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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 at 1 institution in 2 countries.

Jie-Sheng LinInstitute of Future Cities, The Chinese University of Hong Kong, Hong Kong 99077, China.
Faye Ya-Fen ChanInstitute of Future Cities, The Chinese University of Hong Kong, Hong Kong 99077, China.
Jason LeungJockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong 99077, China.ORCID 0000-0003-3382-9096
Blanche YuJockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong 99077, China.
Zhi-Hui LuDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 99077, China.
Jean WooDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 99077, China.ORCID 0000-0001-7593-3081
Timothy KwokJockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong 99077, China.
Kevin Ka-Lun LauInstitute of Future Cities, The Chinese University of Hong Kong, Hong Kong 99077, China.
Chinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of studies have focused on the associations between single built environment (BE) characteristics and physical activity (PA). Combinations of BE characteristics offer a more comprehensive approach to identify the BE-PA associations. We aimed to examine the BE-PA associations in a cohort of elderly Hong Kong Chinese. Between 2001 and 2003, 3944 participants (65-98 years of age) were recruited and followed for a mean of 7.8 years. BE characteristics were assessed via geographic information system. PA levels were obtained using the Physical Activity Scale for the Elderly questionnaire at baseline and three follow-ups. Latent profile analysis was first conducted to classify the BE characteristics, and linear mixed-effects models were then used to explore the longitudinal associations between the BE classes and changes in the PA levels. Three classes of BE were identified. Class 3 (characterized by greater green space and sky view factor) demonstrated a significant decline in household PA (β = -1.26, 95% confidence interval: -2.20, -0.33) during the study period, and a slower decline in walking PA (1.19 (0.42, 1.95)) compared with Class 2 (characterized by a greater proportion of residential land use). Our results indicate that BE patterns characterized by high green space and a sky view factor may help promote the walking PA level.

Indexed as

Built EnvironmentResidence CharacteristicsAgedAged, 80 and overEnvironment DesignExerciseFemaleHong KongHumansMaleWalkingbuilt environmentbuilt environment patterncohort studylatent profile analysisphysical activity

Identifiers

PMID32549289
PMCPMC7344458
OpenAlexW3035543655

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.