Evidence map›Paper›PMID 40831959›Full record

ArticleInformation (Basel)2025

Effect of Elevated Temperature on Physical Activity and Falls in Low-Income Older Adults Using Zero-Inflated Poisson and Graphical Models.

Tho Nguyen, Dahee Kim, Yingru Li, Christopher T Emrich, Jennifer Crook, Ladda Thiamwong, Rui Xie

Abstract read
In one paragraph

Article in Information (Basel), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Relationships Between the Community Environment, Physical Activity, and Fall Risk in Low-Income Older Adults.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
    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

7 authors.

Tho NguyenDepartment of Statistics and Data Science, University of Central Florida, Orlando, FL 32816, USA.ORCID 0009-0006-3414-2922
Dahee KimCollege of Nursing, University of Central Florida, Orlando, FL 32826, USA.ORCID 0000-0002-4376-9536
Yingru LiDepartment of Sociology, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-6434-1387
Christopher T EmrichNational Center for Integrated Coastal Research, School of Public Administration, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-6773-7387
Jennifer CrookCollege of Nursing, University of Central Florida, Orlando, FL 32826, USA.ORCID 0000-0002-7255-6425
Ladda ThiamwongCollege of Nursing, University of Central Florida, Orlando, FL 32826, USA.ORCID 0000-0001-8506-5812
Rui XieDepartment of Statistics and Data Science, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0001-9769-8131

Funding

Optimizing a technology-based body and mind intervention to prevent falls and reduce health disparities in low-income populations.R01MD018025 · NIMHD · UNIVERSITY OF CENTRAL FLORIDA · PI THIAMWONG, LADDA · 2022 to 2025
$3.0M
NIMHD NIH HHS R01 MD018025
6 · The paper itself

Abstract

High ambient temperature poses a significant public health challenge, particularly for low-income older adults (LOAs) with preexisting health and social issues and disproportionate living conditions, placing them at a vulnerable condition of heat-related illnesses and associated public health risks. This study aims to utilize advanced statistical regression and machine learning methods to analyze complex relationships between elevated temperature, physical activity (PA), sociodemographic factors and fall incidents among LOAs. We collected data from a cohort of 304 LOAs aged 60 and above, living in free-living conditions in low-income communities in Central Florida, USA. Zero-inflated Poisson regression was employed to examine the linear relationships, which reflect the zero-abundant nature of fall incidents. Then, an advanced machine learning approach-the mixed undirected graphical model (MUGM)-was employed to further explore the intricate, nonlinear relationships among daily PA, daily temperature, and fall incidents. The findings suggest that more moderate-to-vigorous PA is significantly associated with fewer fall incidents (RR = 0.90, 95% CI: (0.816, 0.993),

Indexed as

fallshigh temperaturemachine learningmixed undirected graphical modelsolder adultsphysical activityzero-inflated Poisson regression

Identifiers

PMID40831959
PMCPMC12360428

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.