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Association of night shift work and biological ageing: the mediating role of body mass index
Age and Ageing ( IF 6.0 ) Pub Date : 2024-11-05 , DOI: 10.1093/ageing/afae242 Wenqi Shen, Lingli Cai, Jiang Li, Ying Sun, Bin Wang, Ningjian Wang, Yingli Lu
Age and Ageing ( IF 6.0 ) Pub Date : 2024-11-05 , DOI: 10.1093/ageing/afae242 Wenqi Shen, Lingli Cai, Jiang Li, Ying Sun, Bin Wang, Ningjian Wang, Yingli Lu
Background We aimed to examine whether current and lifetime night shift work is associated with accelerated biological ageing and the potential role of body mass index (BMI) in mediating the association. Methods Data were sourced from the UK Biobank cohort. This study included participants who reported detailed information on their current work schedule and had complete data to calculate PhenoAge. The outcome of interest was biological ageing, measured by PhenoAge acceleration. Multivariable linear regression models were conducted to test the relationship between night shift work and biological ageing. Mediation analyses were performed. Results Of the 182 064 participants included, the mean age was 52.6 years, and 51.1% were male. After adjustment for chronological age and sex, compared with day workers, shift workers without night shift, irregular night shift workers and permanent night shift workers were associated with 0.59-, 0.87- and 1.30-year increase in biological ageing, respectively (P for trend <.001). Considering the lifetime work schedule, participants who worked night shifts >10 years and participants who worked >8 night shifts each month showed increased biological age acceleration [>10 years: β = 0.54, 95% confidence interval (CI) 0.29–0.79; >8 times/month: β = 0.29, 95% CI 0.07–0.50]. The mediation analysis showed that BMI mediated the associations between night shift work and biological age acceleration by 36%–53%. Conclusions We showed that night shift work was associated with accelerated biological ageing. Our findings highlight the interventions on appropriate shift work schedules and weight management in night shift workers, which may slow the biological ageing process and ultimately reduce the burden of age-related diseases.
中文翻译:
夜班工作与生物衰老的关系:体重指数的中介作用
背景 我们旨在检查当前和终生夜班工作是否与加速生物衰老有关,以及体重指数 (BMI) 在中介这种关联中的潜在作用。方法 数据来自英国生物样本库队列。这项研究包括报告了他们当前工作时间表的详细信息并拥有计算 PhenoAge 的完整数据的参与者。感兴趣的结果是生物衰老,通过 PhenoAge 加速来衡量。采用多变量线性回归模型来检验夜班工作与生物老龄化之间的关系。进行中介分析。结果 在纳入的 182 064 名参与者中,平均年龄为 52.6 岁,其中 51.1% 为男性。调整实际年龄和性别后,与日间工人、无夜班轮班工人、不规则夜班工人和固定夜班工人相比,生物老龄化分别增加 0.59 年、 0.87 年和 1.30 年(趋势 <.001 的 P)。考虑到终生工作时间表,上夜班 >10 年的参与者和每月上夜班 >8 的参与者显示出生物年龄加速增加 [>10 岁:β = 0.54,95% 置信区间 (CI) 0.29–0.79;>8 次/月:β = 0.29,95% CI 0.07–0.50]。中介分析显示,BMI 介导了 36%-53% 的夜班工作与生物年龄加速之间的关联。结论 我们表明夜班工作与加速生物衰老有关。我们的研究结果强调了对夜班工人适当轮班工作时间表和体重管理的干预,这可能会减缓生物衰老过程并最终减轻与年龄相关的疾病的负担。
更新日期:2024-11-05
中文翻译:
夜班工作与生物衰老的关系:体重指数的中介作用
背景 我们旨在检查当前和终生夜班工作是否与加速生物衰老有关,以及体重指数 (BMI) 在中介这种关联中的潜在作用。方法 数据来自英国生物样本库队列。这项研究包括报告了他们当前工作时间表的详细信息并拥有计算 PhenoAge 的完整数据的参与者。感兴趣的结果是生物衰老,通过 PhenoAge 加速来衡量。采用多变量线性回归模型来检验夜班工作与生物老龄化之间的关系。进行中介分析。结果 在纳入的 182 064 名参与者中,平均年龄为 52.6 岁,其中 51.1% 为男性。调整实际年龄和性别后,与日间工人、无夜班轮班工人、不规则夜班工人和固定夜班工人相比,生物老龄化分别增加 0.59 年、 0.87 年和 1.30 年(趋势 <.001 的 P)。考虑到终生工作时间表,上夜班 >10 年的参与者和每月上夜班 >8 的参与者显示出生物年龄加速增加 [>10 岁:β = 0.54,95% 置信区间 (CI) 0.29–0.79;>8 次/月:β = 0.29,95% CI 0.07–0.50]。中介分析显示,BMI 介导了 36%-53% 的夜班工作与生物年龄加速之间的关联。结论 我们表明夜班工作与加速生物衰老有关。我们的研究结果强调了对夜班工人适当轮班工作时间表和体重管理的干预,这可能会减缓生物衰老过程并最终减轻与年龄相关的疾病的负担。