The relationship between lifestyle, night shift pattern, mental health and the trajectories of nurses’ metabolic diseases: a cohort study of nurses

Objective: The study aimed to examine the relationship between lifestyle, night shift pattern, mental health and nurses' metabolic diseases. Methods: We included 910 nurses from 2018 to 2022. The Growth mixture model was used to identify the trajectories of metabolic diseases among nurses. And multinomial logistic regression was used to examine the relationship between lifestyle, night shift pattern, mental health and the trajectories of metabolic diseases. Results: Three distinct trajectories were identified: Maintaining-Low, Chronically-High group, Maintaining-Low group. Compared to the Maintaining-low group, the correlates of Chronically-high group were lack of dietary preference for vegetables and exercise. Low depression scores, high anxiety scores, night shift pattern with a slow increase in metabolic diseases. Conclusion: The changes of the number of metabolic diseases among nurses in China are heterogeneous. Lack of dietary preference for vegetables and exercise are significantly related to nurses' metabolic disorders. Among nurses with high initial health level, the correlates of the increase in the number of metabolic diseases are not unhealthy lifestyles, but mental health and night shift pattern.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2026-04-01
DOI
https://doi.org/10.3389/fpubh.2026.1743516
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The relationship between lifestyle, night shift pattern, mental health and the trajectories of nurses’ metabolic diseases: a cohort study of nurses

Min Yang, Ying Che, X Ma, Baohua Li et al.
Frontiers in Public Health
Sleep and Work-Related Fatigue
article

The relationship between lifestyle, night shift pattern, mental health and the trajectories of nurses’ metabolic diseases: a cohort study of nurses

Min Yang, Ying Che, X Ma, Baohua Li, Jiaqi Xu, Hongbo Chen
article en

Abstract

Objective: The study aimed to examine the relationship between lifestyle, night shift pattern, mental health and nurses' metabolic diseases. Methods: We included 910 nurses from 2018 to 2022. The Growth mixture model was used to identify the trajectories of metabolic diseases among nurses. And multinomial logistic regression was used to examine the relationship between lifestyle, night shift pattern, mental health and the trajectories of metabolic diseases. Results: Three distinct trajectories were identified: Maintaining-Low, Chronically-High group, Maintaining-Low group. Compared to the Maintaining-low group, the correlates of Chronically-high group were lack of dietary preference for vegetables and exercise. Low depression scores, high anxiety scores, night shift pattern with a slow increase in metabolic diseases. Conclusion: The changes of the number of metabolic diseases among nurses in China are heterogeneous. Lack of dietary preference for vegetables and exercise are significantly related to nurses' metabolic disorders. Among nurses with high initial health level, the correlates of the increase in the number of metabolic diseases are not unhealthy lifestyles, but mental health and night shift pattern.

Frontiers in Public HealthVol. 14
Peking University (CN), Peking University Third Hospital (CN)
Openalex Percentile: Top 40%
Sleep and Work-Related Fatigue
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.