Evidence map›Paper›PMID 34433908›Full record

ArticleInternational journal of obesity (2005)2021

Longitudinal association of built environment pattern with DXA-derived body fat in elderly Hong Kong Chinese: a latent profile analysis.

Jiesheng Lin, Faye Ya-Fen Chan, Jason Leung, Blanche Yu, Jean Woo, Timothy Kwok, Kevin Ka-Lun Lau

Abstract read
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In one paragraph

Article in International journal of obesity (2005), 2021. 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
0.3field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

7 authors at 1 institution in 4 countries.

Jiesheng LinInstitute of Future Cities, The Chinese University of Hong Kong, Hong Kong, China. linjsh6@mail3.sysu.edu.cn.ORCID http://orcid.org/0000-0002-9216-4736
Faye Ya-Fen ChanInstitute of Future Cities, The Chinese University of Hong Kong, Hong Kong, China.
Jason LeungJockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-3382-9096
Blanche YuJockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China.
Jean WooDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Timothy KwokJockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0001-9253-3549
Kevin Ka-Lun LauInstitute of Future Cities, The Chinese University of Hong Kong, Hong Kong, China. kevinlau@cuhk.edu.hk.ORCID http://orcid.org/0000-0003-3438-1182
Chinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne major limitation of prior studies regarding the associations between built environment (BE) and obesity has been the use of anthropometric indices (e.g., body mass index [BMI]) for assessing obesity status, and there has been limited evidence of associations between BE and body fat. This study aimed to explore the longitudinal association between BE and body fat in a cohort of elderly Hong Kong Chinese and examine whether the BE-body fat associations differed by BMI categories.

methodsBetween 2001 and 2003, 3944 participants aged 65-98 years were recruited and followed for a mean of 6.4 years. BE characteristics were assessed via Geographic Information System. Body fat (%) at whole body and regional areas (trunk, limbs, android, and gynoid) were assessed by dual energy X-ray absorptiometry at baseline and three follow-ups. Latent profile analysis was used to derive BE class, and linear mixed-effects models were used to investigate the associations of BE class with changes in body fat. Stratified analyses by BMI categories were also conducted.

resultsThree BE classes were identified. Participants in Class 2 (characterized by greater open space and proportion of residential land use) had a slower increase in whole body fat (B = -0.403, 95% confidence interval [CI]: -0.780, -0.014) and limbs fat (-0.471, 95% CI: -0.870, -0.071) compared with participants in Class 1 (characterized by high proportion of commercial land use). There were significant interactions of BE class with BMI, and participants in Class 2 had a slower increase in whole body fat and regional fat compared with participants in Class 1 (B ranging from -0.987 [limbs] to -0.523 [gynoid]) among overweight and obese participants only.

conclusionsWe found that those who resided in the areas characterized by greater open space and proportion of residential land use had a slower body fat increase.

Indexed as

Body Mass IndexAbsorptiometry, PhotonAdipose TissueAgedAged, 80 and overBuilt EnvironmentFemaleHong KongHumansMaleRisk Factors

Identifiers

PMID34433908
OpenAlexW3195779317

What Socratic holds

Textmetadata
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 Socratic graph.