The development of frailty trajectories in world trade center general responders and the association with World Trade Center Exposure - 07/03/25

Doi : 10.1016/j.tjfa.2025.100027 
Hannah M. Thompson a, , Katherine A. Ornstein b, Elena Colicino a, Nicolo Foppa Pedretti a, Ghalib Bello a, Ahmad Sabra c, Erin Thanik a, Roberto G. Lucchini d, Michael Crane a, Susan L. Teitelbaum a, William W. Hung e, f, Fred Ko e, f
a Department of Environmental Medicine and Public Health Icahn School of Medicine at Mount Sinai, 1 Gustave Levy Place New York, NY 10029, USA 
b Johns Hopkins School of Nursing, 525 N Wolfe Street N503 J Baltimore, MD 21205, USA 
c General Responder Data Center, Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave Levy Place New York, NY 10029, USA 
d Department of Environmental Health Sciences, School of Public Health, Florida International University, 11200 SW 8th Street Miami, FL 33199, USA 
e Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave Levy Place New York, NY 10029, USA 
f Geriatrics Research, Education and Clinical Center, James J. Peters VA Medical Center, 130 West Kingsbridge Road, Bronx, NY 10468, USA 

Corresponding author at: Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA.Department of Environmental Medicine and Climate ScienceIcahn School of Medicine at Mount Sinai 1 Gustave L. Levy PlaceNew YorkNY10029USA

Bienvenue sur EM-consulte, la référence des professionnels de santé.
Article gratuit.

Connectez-vous pour en bénéficier!

Abstract

Background

As the World Trade Center (WTC) General Responder Cohort ages, it is imperative to study their aging process and identify factors that can be targeted for interventions.

Objectives

Our goal was to utilize a previously developed WTC Clinical Frailty Index (CFI) to identify distinct frailty trajectories and associated factors in this cohort.

Design

A latent class mixed model evaluated frailty trajectories using WTC CFIs. Multinomial regression models were used to assess associations between frailty trajectory and sociodemographic and WTC characteristics.

Setting

We utilized data collected during routine WTC monitoring visits from 2004 until 2021.

Participants

The participants were WTC general responders.

Measurements

Relative risk ratios (RRR) assessed associations with a 95 % confidence interval (CI).

Results

Three distinct linear frailty trajectories were identified: high CFI (indicating higher frailty), low CFI, and progressively increasing CFI. Compared with the low CFI group, females were more likely to be in the high CFI and progressively increasing CFI groups (RRR 1.66, 95 %CI 1.46, 1.90; RRR 1.32, 95 %CI 1.15, 1.53, respectively). Education beyond high school and elevated income were protective against high CFI and progressively increasing CFI groups. Individuals that self-identified as Hispanic had an elevated RRR for the high CFI group (RRR 1.17, 95 %CI 1.04, 1.31). Occupation on 9/11, such as construction and maintenance and repair, as well as high/very high WTC exposure were significantly associated with both the high CFI and progressively increasing CFI groups.

Conclusions

Several sociodemographic and WTC variables were associated with more hazardous frailty trajectories in WTC general responders. This work is beneficial to informing and directing future interventions for those at higher-risk for more hazardous frailty progression.

Le texte complet de cet article est disponible en PDF.

Keywords : Frailty trajectory, World trade center, WTC


Plan


© 2025  Publié par Elsevier Masson SAS.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 14 - N° 2

Article 100027- avril 2025 Retour au numéro
Article précédent Article précédent
  • Developing an Electronic Frailty Index (eFI) and a biological age trajectory with a cohort of over one million older adults in Hong Kong
  • Tung Wai Auyeung, Carolyn Poey Lyn Kng, Tak Yeung Chan, Elsie Hui, Chi Shing Leung, James Ka Hay Luk, Kwok Yiu Sha, Teresa Kim Kum Yu
| Article suivant Article suivant
  • Nationwide insights into frailty: Systematic review and meta-analysis of community-based prevalence studies from India
  • Sunanda Gupta, Aninda Debnath, Ankit Yadav, Anubhav Mondal, Shweta Charag, Jugal Kishore

Bienvenue sur EM-consulte, la référence des professionnels de santé.

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2025 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.