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Cohort study of 910 Chinese nurses links mental health, night shifts to metabolic disease trajectories

Cohort study of 910 Chinese nurses links mental health, night shifts to metabolic disease trajectori…
Photo by Hoi An and Da Nang Photographer / Unsplash
Key Takeaway
Note: Observational links between mental health, night shifts, and metabolic disease in nurses; causation not established.

This cohort study followed 910 nurses in China from 2018 to 2022 to examine the relationship between lifestyle, night shift patterns, mental health, and trajectories of metabolic diseases. The study identified three distinct metabolic disease trajectories: Maintaining-Low, Chronically-High, and a Maintaining-Low group. The analysis compared these groups to the Maintaining-Low reference group.

The main findings show that, compared to the Maintaining-Low group, correlates of the Chronically-High trajectory included a lack of dietary preference for vegetables and lack of exercise. Among nurses who started with a high initial health level, the increase in the number of metabolic diseases was correlated with mental health factors and night shift patterns, rather than unhealthy lifestyles. Specific mental health correlates included low depression scores and high anxiety scores, alongside a night shift pattern associated with a slow increase in metabolic diseases. Exact numbers, effect sizes, and statistical significance for these associations were not reported.

This is an observational cohort study, meaning it can only show associations, not causation. Key limitations include the lack of reported effect sizes and statistical measures, and the findings may not be generalizable beyond the specific population of Chinese nurses. Safety and tolerability data were not reported. For practice, these findings highlight potential modifiable risk factors in a high-stress profession but require confirmation with more rigorous study designs.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
The study aimed to examine the relationship between lifestyle, night shift pattern, mental health and nurses’ metabolic diseases. 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. 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. 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.
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