Institute for Physical Activity and Nutrition (IPAN), Deakin University, Burwood, Victoria, Australia
School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Br J Sports Med. 2023 Jul;57(14):921-929. doi: 10.1136/bjsports-2022-105435. Epub 2023 Feb 8.
To examine if individual-level and area-level socioeconomic status (SES) modifies the association of moderate-to-vigorous physical activity (MVPA), domain-specific physical activity and sedentary behaviour with all-cause mortality (ACM) and incident cardiovascular disease (CVD).
We used self-reported (International Physical Activity Questionnaire short form) and accelerometer-measured physical activity and sedentary behaviour data from the UK Biobank. We created an individual-level composite SES index using latent class analysis of household income, education and employment status. The Townsend Index was the measure of area-level SES. Cox proportional hazards regression models stratified across SES were used.
In 328 228 participants (mean age 55.9 (SD 8.1) years, 45% men) with an average follow-up of 12.1 (1.4) years, 18 033 deaths and 98 922 incident CVD events occurred. We found an increased ACM risk of low physical activity and high sedentary behaviour and an increased incident CVD risk of low accelerometer-measured moderate-to-vigorous physical activity (ACCEL_MVPA) and high sitting time. We observed statistically significant interactions for all exposures in ACM analyses by individual-level SES (p<0.05) but only for screen time in area-level SES-ACM analysis (p<0.001). Compared with high self-reported moderate-to-vigorous physical activity (IPAQ_MVPA), adjusted ACM HRs for low IPAQ_MVPA were 1.14 (95% CI 1.05 to .25), 1.15 (95% CI 1.06 to 1.24) and 1.22 (95% CI 1.13 to 1.31) in high, medium and low individual-level SES, respectively. There were higher detrimental associations of low ACCEL_MVPA with decreasing area-level SES for both outcomes and of high screen time with ACM in low area-level SES.
We found modest evidence suggesting that the detrimental associations of low MVPA and high screen time with ACM and incident CVD are accentuated in low SES groups.
研究个体层面和区域层面的社会经济地位(SES)是否会改变中等到剧烈体力活动(MVPA)、特定领域体力活动和久坐行为与全因死亡率(ACM)和心血管疾病(CVD)事件发生率之间的关联。
我们使用来自英国生物银行的自我报告(国际体力活动问卷短表)和加速度计测量的体力活动和久坐行为数据。我们使用家庭收入、教育和就业状况的潜在类别分析创建了个体层面的综合 SES 指数。地区层面 SES 的测量指标是汤森指数。使用按 SES 分层的 Cox 比例风险回归模型。
在 328228 名参与者(平均年龄 55.9(8.1)岁,45%为男性)中,平均随访时间为 12.1(1.4)年,发生了 18033 例死亡和 98922 例 CVD 事件。我们发现,低体力活动和高久坐行为的 ACM 风险增加,而低加速度计测量的中到剧烈体力活动(ACCEL_MVPA)和高坐姿时间的 CVD 事件发生率增加。我们观察到,在 ACM 分析中,所有暴露因素在个体层面 SES 方面存在统计学显著的交互作用(p<0.05),但在区域层面 SES-ACM 分析中仅在屏幕时间方面存在统计学显著交互作用(p<0.001)。与高自我报告的中到剧烈体力活动(IPAQ_MVPA)相比,低 IPAQ_MVPA 的调整后 ACM HR 分别为 1.14(95%CI 1.05 至.25)、1.15(95%CI 1.06 至 1.24)和 1.22(95%CI 1.13 至 1.31),在高、中、低个体 SES 中分别为 1.14(95%CI 1.05 至.25)、1.15(95%CI 1.06 至 1.24)和 1.22(95%CI 1.13 至 1.31)。对于这两种结果,低 ACCEL_MVPA 与降低区域 SES 之间以及高屏幕时间与低区域 SES 之间的 ACM 之间的关联更为不利。
我们发现,低 MVPA 和高屏幕时间与 ACM 和 CVD 事件发生率之间的不利关联在 SES 较低的人群中更为明显,这一证据还有待进一步证实。