Franco Matteo, Facchini Luigi, Sacerdote Carlotta, Masala Giovanna, Manfredi Luca, Dansero Lucia, Bendinelli Benedetta, Assedi Melania, Vitale Valentina, Pala Valeria, Caini Saverio, Ricceri Fulvio
Department of Clinical and Biological Sciences, University of Turin, Orbassano, Turin, Italy.
Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy.
BMJ Open Sport Exerc Med. 2024 Aug 28;10(3):e001957. doi: 10.1136/bmjsem-2024-001957. eCollection 2024.
Our study aimed to investigate how physical activity (PA) changes over an 11-year follow-up among adults from different socioeconomic positions (SEP) near retirement age. Moreover, an analysis of different PA types is considered.
We used data from the EPIC-Italy cohort. We evaluated PA using the Cambridge Physical Activity Index (CPAI) and the metabolic equivalent of tasks (MET) per hour of activity for recreational PA and household PA. Educational level was assessed using the Relative Index of Inequality (RII). Occupational classes were classified according to LIFEPATH Consortium knowledge. Logistic regression was used to analyse PA among SEP and changes during follow-up. Analyses were also conducted separately for sex.
The higher educated were more prevalent in the higher quartile of recreational PA than the lower educated both at baseline and follow-up (37% vs 28% and 37% vs 27%, respectively). At the baseline, the lower educated had a higher risk of being physically inactive than the higher educated based on recreational PA (overall OR: 1.50, 95% CI 1.40 to 1.60). Manual workers did not show a higher risk of less PA than professionals/managers (overall OR: 1.03, 95% CI 0.91 to 1.16).At follow-up, the lower educated and manual workers showed a higher risk of being physically inactive (lower educated OR: 1.46, 95% CI 1.37 to 1.56; manual worker OR: 1.33, 95% CI 1.18 to 1.50). The analyses of changes in PA showed that those who were less educated or manual workers had a higher risk of worsening their PA during the follow-up period, particularly women in recreational PA and men in CPAI measurement.
Individuals who had a disadvantaged SEP showed a higher risk of performing less PA over time.
我们的研究旨在调查接近退休年龄的不同社会经济地位（SEP）的成年人在11年随访期间身体活动（PA）是如何变化的。此外，还对不同类型的身体活动进行了分析。
我们使用了来自意大利EPIC队列的数据。我们使用剑桥身体活动指数（CPAI）以及每小时休闲性身体活动和家务性身体活动的代谢当量（MET）来评估身体活动。使用不平等相对指数（RII）评估教育水平。根据LIFEPATH联盟的知识对职业类别进行分类。使用逻辑回归分析社会经济地位中的身体活动情况以及随访期间的变化。还分别按性别进行了分析。
在基线和随访时，高学历者在休闲性身体活动的上四分位数中的比例均高于低学历者（分别为37%对28%和37%对27%）。在基线时，基于休闲性身体活动，低学历者身体不活动的风险高于高学历者（总体比值比：1.50，95%置信区间1.40至1.60）。体力劳动者与专业人员/管理人员相比，并没有表现出身体活动较少的更高风险（总体比值比：1.03，95%置信区间0.91至1.16）。在随访时，低学历者和体力劳动者身体不活动的风险更高（低学历者比值比：1.46，95%置信区间1.37至1.56；体力劳动者比值比：1.33，95%置信区间1.18至1.50）。身体活动变化的分析表明，低学历者或体力劳动者在随访期间身体活动恶化的风险更高，尤其是休闲性身体活动中的女性和CPAI测量中的男性。
社会经济地位处于劣势的个体随着时间推移身体活动较少的风险更高。
