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Shift patterns, physical exercise, and Type 2 diabetes mellitus (T2DM): a prospective cohort study in China.

Lin SongJiayang ShenJin WangYu ZhangZiqi ZhouLingli SangLejia ZhuYangmei WangDajun ZhangDi LiJing XiaoYulong Lian
Published in: Translational behavioral medicine (2023)
To examine the relationships between different shift patterns and Type 2 diabetes mellitus (T2DM) risk, and determine whether physical exercise reduced the incidence of T2DM in shift workers in the oil industry. Baseline data were collected from participants in May 2013 who were then followed for 4 years in a prospective cohort study. The cohort initially consisted of 3,002 workers and ultimately included 2,827 people. Baseline and follow-up questionnaires were sent to participants every 2 years (in May 2015 and May 2017) to update medical and lifestyle information during the follow-up period. The risk of T2DM among two shift workers [relative risk (RR) = 3.442, 95% CI: 1.904-6.799)], three shift workers (RR = 2.534, 95% CI: 1.484-4.571), and four shift workers (RR = 4.230, 95% CI: 2.680-7.518) was higher than that among day workers. An increasing trend was observed with respect to T2DM risk, with the lowest risk in three shift workers, moderate risk in two shift workers, and highest risk in four shift workers. In the interactive analysis between shift work and physical exercise, taking part in mild physical exercise increased the risk of T2DM for workers. Four shift workers who took part in mild physical exercise had an increased risk of T2DM. The relative excess risk due to interaction (RERI) was 33.769 (0.398-67.140). The attributable proportion due to interaction [API (%)] was 0.704 (0.529-0.880). The synergy index (SI) was 3.563 (1.900-6.683). Shift work is significantly correlated with increased incidence of T2DM. Risk of T2DM is lowest risk in three shift workers, moderate in two shift workers, and highest in four shift workers. Shift workers who participated in moderate and severe physical exercise had reduced risk of developing T2DM.
Keyphrases
  • glycemic control
  • healthcare
  • type diabetes
  • metabolic syndrome
  • early onset
  • machine learning
  • weight loss
  • electronic health record