Complex associations among modifiable determinants of circadian syndrome among employed people in southwestern China.
10.1097/CM9.0000000000003518
- Author:
Shujuan YANG
1
;
Peng JIA
2
;
Lei ZHANG
3
;
Yuchen LI
4
;
Peng YU
1
;
Jiqi YANG
1
;
Sihan WANG
1
;
Honglian ZENG
5
;
Bo YANG
6
;
Bin YU
6
Author Information
1. Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
2. Department of GIScience and Mapping, School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei 430072, China.
3. Experimental Center, School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China.
4. School of Geography, University of Leeds, Leeds LS2 9JT, UK.
5. Department of Clinical Medical College, Affiliated Hospital of Chengdu University, Chengdu, Sichuan 610081, China.
6. Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, Sichuan 610207, China.
- Publication Type:Journal Article
- Keywords:
Anxiety;
Circadian syndrome;
Employed people;
Lifestyle;
Network analysis;
Occupational factor;
Psychological factor
- MeSH:
Humans;
Male;
Female;
Adult;
China;
Middle Aged;
Life Style;
Chronobiology Disorders/epidemiology*
- From:
Chinese Medical Journal
2025;138(21):2804-2812
- CountryChina
- Language:English
-
Abstract:
BACKGROUND:Circadian syndrome (CircS) may be closely linked to lifestyle, psychological, and occupational factors, but evidence is lacking. This study aimed to explore complex associations between lifestyle, psychological and occupational factors and CircS among employed people in southwestern China.
METHODS:In this study, network analysis was used to identify complex associations between lifestyle, psychological and occupational factors and CircS in employed people from the Chinese Cohort of Working Adults (CCWA). The centrality of each variable was estimated by strength centrality index, which was calculated by the sum of edge weights connected to the variable. Bridge in the network was identified as the variables in the top 80 th percentile of overall bridge strength, which was defined as the most strongly connected variables across lifestyle, psychological and occupational factors and CircS. The differences were assessed in network structures between subgroups divided by the median score of the variable with the strongest bridge strengthen.
RESULTS:Among 31,105 participants from CCWA, 5213 (16.76%) had CircS. In the constructed network, anxiety (edge weights: 0.28), smoking (edge weights: 0.15), drinking (edge weights: 0.10), perceived noise at work (edge weights: 0.08), and implicit health attitude (edge weights: -0.02) were directly related to CircS, with 83.31% of the variance for CircS explained by these neighboring factors. Anxiety was the most central variable (strength centrality: 1.20) in the network and the strongest bridge (bridge strength: 0.84) connecting all domains of variables. A stronger association between anxiety and CircS was observed in the network of participants with more severe anxiety (edge weight: 0.23) than those with less severe anxiety (edge weight: 0.03).
CONCLUSION:Anxiety had the strongest association with CircS and was the central factor with the highest strength centrality, also the bridge with the highest bridge strength in the network.
