Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLD

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disorder worldwide and is closely linked to the components of metabolic syndrome. Shift work, through its disruption of circadian rhythms and the promotion of adverse behavioral patterns, has been pr...

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Autores: Tosoratto, Javier, Tárraga López, Pedro Juan, López-González, Ángel Arturo, Busquets-Cortes, Carla, Obrador de Hevia, Joan, Ramírez-Manent, José Ignacio
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Conselleria de Salut i Consum del Govern de les Illes Balears
Repositorio:Docusalut
Idioma:inglés
OAI Identifier:oai:docusalut.com:20.500.13003/26053
Acceso en línea:https://hdl.handle.net/20.500.13003/26053
Access Level:acceso abierto
Palabra clave:Healthy Lifestyle
Liver Diseases
Metabolic Diseases
Shift Work Schedule
Sociodemographic Factors
Estilo de Vida Saludable
Hepatopatías
Enfermedades Metabólicas
Horario de Trabajo por Turnos
Factores Sociodemográficos
MASLD
lifestyle habits
liver indices
metabolic health
shift work
sociodemographic factors
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spelling Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLDTosoratto, JavierTárraga López, Pedro JuanLópez-González, Ángel ArturoBusquets-Cortes, CarlaObrador de Hevia, JoanRamírez-Manent, José IgnacioHealthy LifestyleLiver DiseasesMetabolic DiseasesShift Work ScheduleSociodemographic FactorsEstilo de Vida SaludableHepatopatíasEnfermedades MetabólicasHorario de Trabajo por TurnosFactores SociodemográficosMASLDlifestyle habitsliver indicesmetabolic healthshift worksociodemographic factorsMetabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disorder worldwide and is closely linked to the components of metabolic syndrome. Shift work, through its disruption of circadian rhythms and the promotion of adverse behavioral patterns, has been proposed as a potential contributor to metabolic dysfunction and liver disease, yet evidence on its association with MASLD remains limited in large, heterogeneous occupational populations. To investigate the association between shift work and MASLD risk using multiple validated non-invasive indices in a large sample of Spanish workers, and to explore the influence of sociodemographic characteristics, lifestyle behaviors, and sex on these associations. This cross-sectional study analyzed data from 53,053 employed adults across diverse sectors in Spain, including 31,753 men and 21,300 women. The participants underwent standardized occupational health assessments between 2019 and 2020. The MASLD risk was evaluated using seven indices: fatty liver index (FLI), hepatic steatosis index (HSI), ZJU index, fatty liver disease (FLD) index, Framingham steatosis index (FSI), lipid accumulation product (LAP), and BARD score. Sociodemographic, anthropometric, clinical, biochemical, and lifestyle data were collected. Multinomial logistic regression models were used to assess independent associations between shift work and high-risk MASLD scores. Shift workers exhibited significantly higher mean values and prevalence of elevated MASLD scores across all indices compared to non-shift workers, in both sexes. In men, the prevalence of high BARD scores increased from 43.5% (non-shift) to 71.5% (shift), while in women it rose from 49.9% to 85.7%. Multivariate analysis confirmed that shift work was independently associated with an increased MASLD risk, particularly for HSI (OR: 7.83; 95% CI: 7.40-8.26) and ZJU (OR: 5.91; 95% CI: 5.60-6.22). Male sex, older age, smoking, and blue-collar status were also consistently associated with elevated risk scores. Shift work is significantly associated with an increased MASLD risk, independent of sociodemographic and lifestyle factors. Women and blue-collar workers may be especially vulnerable to the hepatic consequences of circadian disruption. These findings support the inclusion of liver health screening in occupational health programs and highlight the need for targeted interventions to reduce the MASLD risk among shift-working populations. Cross-sectional design limits causality; longitudinal studies are needed to confirm temporal relationships.MDPI20252025-01-0120252025-01-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.13003/26053reponame:Docusalutinstname:Conselleria de Salut i Consum del Govern de les Illes BalearsInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docusalut.com:20.500.13003/260532026-06-22T12:44:07Z
dc.title.none.fl_str_mv Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLD
title Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLD
spellingShingle Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLD
Tosoratto, Javier
Healthy Lifestyle
Liver Diseases
Metabolic Diseases
Shift Work Schedule
Sociodemographic Factors
Estilo de Vida Saludable
Hepatopatías
Enfermedades Metabólicas
Horario de Trabajo por Turnos
Factores Sociodemográficos
MASLD
lifestyle habits
liver indices
metabolic health
shift work
sociodemographic factors
title_short Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLD
title_full Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLD
title_fullStr Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLD
title_full_unstemmed Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLD
title_sort Associations Between Shift Work, Sociodemographic and Lifestyle Characteristics, Body Measurements, and MASLD
dc.creator.none.fl_str_mv Tosoratto, Javier
Tárraga López, Pedro Juan
López-González, Ángel Arturo
Busquets-Cortes, Carla
Obrador de Hevia, Joan
Ramírez-Manent, José Ignacio
author Tosoratto, Javier
author_facet Tosoratto, Javier
Tárraga López, Pedro Juan
López-González, Ángel Arturo
Busquets-Cortes, Carla
Obrador de Hevia, Joan
Ramírez-Manent, José Ignacio
author_role author
author2 Tárraga López, Pedro Juan
López-González, Ángel Arturo
Busquets-Cortes, Carla
Obrador de Hevia, Joan
Ramírez-Manent, José Ignacio
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Healthy Lifestyle
Liver Diseases
Metabolic Diseases
Shift Work Schedule
Sociodemographic Factors
Estilo de Vida Saludable
Hepatopatías
Enfermedades Metabólicas
Horario de Trabajo por Turnos
Factores Sociodemográficos
MASLD
lifestyle habits
liver indices
metabolic health
shift work
sociodemographic factors
topic Healthy Lifestyle
Liver Diseases
Metabolic Diseases
Shift Work Schedule
Sociodemographic Factors
Estilo de Vida Saludable
Hepatopatías
Enfermedades Metabólicas
Horario de Trabajo por Turnos
Factores Sociodemográficos
MASLD
lifestyle habits
liver indices
metabolic health
shift work
sociodemographic factors
description Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disorder worldwide and is closely linked to the components of metabolic syndrome. Shift work, through its disruption of circadian rhythms and the promotion of adverse behavioral patterns, has been proposed as a potential contributor to metabolic dysfunction and liver disease, yet evidence on its association with MASLD remains limited in large, heterogeneous occupational populations. To investigate the association between shift work and MASLD risk using multiple validated non-invasive indices in a large sample of Spanish workers, and to explore the influence of sociodemographic characteristics, lifestyle behaviors, and sex on these associations. This cross-sectional study analyzed data from 53,053 employed adults across diverse sectors in Spain, including 31,753 men and 21,300 women. The participants underwent standardized occupational health assessments between 2019 and 2020. The MASLD risk was evaluated using seven indices: fatty liver index (FLI), hepatic steatosis index (HSI), ZJU index, fatty liver disease (FLD) index, Framingham steatosis index (FSI), lipid accumulation product (LAP), and BARD score. Sociodemographic, anthropometric, clinical, biochemical, and lifestyle data were collected. Multinomial logistic regression models were used to assess independent associations between shift work and high-risk MASLD scores. Shift workers exhibited significantly higher mean values and prevalence of elevated MASLD scores across all indices compared to non-shift workers, in both sexes. In men, the prevalence of high BARD scores increased from 43.5% (non-shift) to 71.5% (shift), while in women it rose from 49.9% to 85.7%. Multivariate analysis confirmed that shift work was independently associated with an increased MASLD risk, particularly for HSI (OR: 7.83; 95% CI: 7.40-8.26) and ZJU (OR: 5.91; 95% CI: 5.60-6.22). Male sex, older age, smoking, and blue-collar status were also consistently associated with elevated risk scores. Shift work is significantly associated with an increased MASLD risk, independent of sociodemographic and lifestyle factors. Women and blue-collar workers may be especially vulnerable to the hepatic consequences of circadian disruption. These findings support the inclusion of liver health screening in occupational health programs and highlight the need for targeted interventions to reduce the MASLD risk among shift-working populations. Cross-sectional design limits causality; longitudinal studies are needed to confirm temporal relationships.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-01-01
2025
2025-01-01
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.13003/26053
url https://hdl.handle.net/20.500.13003/26053
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Docusalut
instname:Conselleria de Salut i Consum del Govern de les Illes Balears
instname_str Conselleria de Salut i Consum del Govern de les Illes Balears
reponame_str Docusalut
collection Docusalut
repository.name.fl_str_mv
repository.mail.fl_str_mv
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