Risk of Insulin Resistance in 44,939 Spanish Healthcare Workers: Association with Sociodemographic Variables and Healthy Habits

<b>Introduction:</b> Insulin resistance (IR) is a highly prevalent pathophysiological entity implicated in the development of a wide variety of metabolic, cardiovascular, and endocrine disorders. The aim of this study is to assess the association between sociodemographic variables and healthy habits with IR risk scales. <b>Methodology:</b> This dual study, incorporating both longitudinal-retrospective and cross-sectional designs, analyzed healthcare workers across four professional categories (physicians, nurses, healthcare technicians, and auxiliary personnel). It examined the association of age, sex, professional category, smoking status, physical activity, and adherence to the Mediterranean diet with elevated scores on insulin resistance risk scales. <b>Results:</b> All the variables analyzed were associated with the presence of elevated values of the IR scales, with age, sex, and physical activity showing the strongest association (reflected in the odds ratio values). <b>Conclusions:</b> The profile of an individual with a higher risk of presenting elevated values of the IR risk scales would be an elderly male auxiliary health worker who is a smoker and is physically inactive, with a low adherence to the Mediterranean diet.

Authors

Institutions

Publication Details

Journal
Diseases
Published
2025-01-27
DOI
https://doi.org/10.3390/diseases13020033
Citations
4
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
4.66

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk of Insulin Resistance in 44,939 Spanish Healthcare Workers: Association with Sociodemographic Variables and Healthy Habits

Emilio Martínez-Almoyna Rifá, José Ignacio Ramírez‐Manent, Pedro Javier Tárraga Marcos, Hernán Paublini et al.
4 citations
Diseases
Nutrition and Health in Aging
4.66
article

Risk of Insulin Resistance in 44,939 Spanish Healthcare Workers: Association with Sociodemographic Variables and Healthy Habits

Emilio Martínez-Almoyna Rifá, José Ignacio Ramírez‐Manent, Pedro Javier Tárraga Marcos, Hernán Paublini, Ángel Arturo López‐González, Pedro Juan Tárraga López, Cristina Martorell Sánchez
article en
4 citations

Abstract

<b>Introduction:</b> Insulin resistance (IR) is a highly prevalent pathophysiological entity implicated in the development of a wide variety of metabolic, cardiovascular, and endocrine disorders. The aim of this study is to assess the association between sociodemographic variables and healthy habits with IR risk scales. <b>Methodology:</b> This dual study, incorporating both longitudinal-retrospective and cross-sectional designs, analyzed healthcare workers across four professional categories (physicians, nurses, healthcare technicians, and auxiliary personnel). It examined the association of age, sex, professional category, smoking status, physical activity, and adherence to the Mediterranean diet with elevated scores on insulin resistance risk scales. <b>Results:</b> All the variables analyzed were associated with the presence of elevated values of the IR scales, with age, sex, and physical activity showing the strongest association (reflected in the odds ratio values). <b>Conclusions:</b> The profile of an individual with a higher risk of presenting elevated values of the IR risk scales would be an elderly male auxiliary health worker who is a smoker and is physically inactive, with a low adherence to the Mediterranean diet.

DiseasesVol. 13(2)
Hospital Universitari Sant Joan D'Alacant (ES), Health Research Institute of the Balearic Islands (ES), Research Institute of Health Sciences (ES), Universitat de les Illes Balears (ES), University of Castilla-La Mancha (ES)
H2020 European Research Council
Good health and well-being
Openalex Percentile: Top 6%
Nutrition and Health in Aging
4.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.