Joanna M Blodgett, David Bann, Sebastien F M Chastin, Matthew Ahmadi, Emmanuel Stamatakis, Rachel Cooper, Mark Hamer
{"title":"工龄样本周末和工作日 24 小时运动模式的社会经济梯度:1970 年英国队列研究的证据。","authors":"Joanna M Blodgett, David Bann, Sebastien F M Chastin, Matthew Ahmadi, Emmanuel Stamatakis, Rachel Cooper, Mark Hamer","doi":"10.1136/jech-2023-221726","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Socioeconomic differences in movement behaviours may contribute to health inequalities. The aim of this descriptive study was to investigate socioeconomic patterns in device-measured 24-hour movement and assess whether patterns differ between weekdays and weekends.</p><p><strong>Methods: </strong>4894 individuals aged 46 years from the 1970 British Cohort Study were included. Participants wore thigh-worn accelerometers for 7 days. Movement behaviours were classified in two 24-hour compositions based on intensity and posture, respectively: (1) sleep, sedentary behaviour, light-intensity activity and moderate-vigorous activity; and (2) sleep, lying, sitting, standing, light movement, walking and combined exercise-like activity. Four socioeconomic measures were explored: education, occupation, income and deprivation index. Movement behaviours were considered compositional means on a 24-hour scale; isometric log ratios expressed per cent differences in daily time in each activity compared with the sample mean.</p><p><strong>Results: </strong>Associations were consistent across all socioeconomic measures. For example, those with a degree spent more time in exercise-like activities across weekdays (10.8%, 95% CI 7.3 to 14.7; ref: sample mean) and weekends (21.9%, 95% CI 17.2 to 26.9). Other patterns differed markedly by the day of the week. Those with no formal qualifications spent more time standing (5.1%, 95% CI 2.3 to 7.1), moving (10.8%, 95% CI 8.6 to 13.1) and walking(4.0%, 95% CI 2.2 to 6.1) during weekdays, with no differences on weekends. Conversely, those with no formal qualifications spent less time sitting during weekdays (-6.6%, 95% CI -7.8 to -4.8), yet more time lying on both weekends (8.8%, 95% CI 4.9 to 12.2) and weekdays (7.5%, 95% CI 4.0 to 11.5).</p><p><strong>Conclusions: </strong>There were strong socioeconomic gradients in 24-hour movement behaviours, with notable differences between weekdays/weekends and behaviour type/posture. These findings emphasise the need to consider socioeconomic position, behaviour type/posture and the day of the week when researching or designing interventions targeting working-age adults.</p>","PeriodicalId":54839,"journal":{"name":"Journal of Epidemiology and Community Health","volume":" ","pages":"515-521"},"PeriodicalIF":4.9000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11287567/pdf/","citationCount":"0","resultStr":"{\"title\":\"Socioeconomic gradients in 24-hour movement patterns across weekends and weekdays in a working-age sample: evidence from the 1970 British Cohort Study.\",\"authors\":\"Joanna M Blodgett, David Bann, Sebastien F M Chastin, Matthew Ahmadi, Emmanuel Stamatakis, Rachel Cooper, Mark Hamer\",\"doi\":\"10.1136/jech-2023-221726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Socioeconomic differences in movement behaviours may contribute to health inequalities. The aim of this descriptive study was to investigate socioeconomic patterns in device-measured 24-hour movement and assess whether patterns differ between weekdays and weekends.</p><p><strong>Methods: </strong>4894 individuals aged 46 years from the 1970 British Cohort Study were included. Participants wore thigh-worn accelerometers for 7 days. Movement behaviours were classified in two 24-hour compositions based on intensity and posture, respectively: (1) sleep, sedentary behaviour, light-intensity activity and moderate-vigorous activity; and (2) sleep, lying, sitting, standing, light movement, walking and combined exercise-like activity. Four socioeconomic measures were explored: education, occupation, income and deprivation index. Movement behaviours were considered compositional means on a 24-hour scale; isometric log ratios expressed per cent differences in daily time in each activity compared with the sample mean.</p><p><strong>Results: </strong>Associations were consistent across all socioeconomic measures. For example, those with a degree spent more time in exercise-like activities across weekdays (10.8%, 95% CI 7.3 to 14.7; ref: sample mean) and weekends (21.9%, 95% CI 17.2 to 26.9). Other patterns differed markedly by the day of the week. Those with no formal qualifications spent more time standing (5.1%, 95% CI 2.3 to 7.1), moving (10.8%, 95% CI 8.6 to 13.1) and walking(4.0%, 95% CI 2.2 to 6.1) during weekdays, with no differences on weekends. Conversely, those with no formal qualifications spent less time sitting during weekdays (-6.6%, 95% CI -7.8 to -4.8), yet more time lying on both weekends (8.8%, 95% CI 4.9 to 12.2) and weekdays (7.5%, 95% CI 4.0 to 11.5).</p><p><strong>Conclusions: </strong>There were strong socioeconomic gradients in 24-hour movement behaviours, with notable differences between weekdays/weekends and behaviour type/posture. 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引用次数: 0
摘要
背景:运动行为的社会经济差异可能会导致健康不平等。这项描述性研究旨在调查社会经济模式下通过设备测量的 24 小时运动情况,并评估工作日和周末的运动模式是否存在差异。参与者佩戴大腿加速度计 7 天。运动行为根据强度和姿势分为两种 24 小时组合:(1) 睡眠、久坐、轻度活动和中等强度活动;(2) 睡眠、躺、坐、站、轻度运动、步行和综合运动类活动。研究还探讨了四种社会经济衡量标准:教育、职业、收入和贫困指数。运动行为被视为 24 小时刻度上的组成平均值;等距对数比表示与样本平均值相比,每项活动的每日时间差异百分比:结果:在所有社会经济衡量标准中,相关性都是一致的。例如,拥有学位的人在工作日(10.8%,95% CI 7.3 至 14.7;参考:样本平均值)和周末(21.9%,95% CI 17.2 至 26.9)花费更多时间从事运动类活动。其他模式则因星期而有明显不同。没有正式学历的人在工作日花费更多时间站立(5.1%,95% CI 2.3 至 7.1)、移动(10.8%,95% CI 8.6 至 13.1)和行走(4.0%,95% CI 2.2 至 6.1),周末则没有差异。相反,没有正式学历的人平日坐着的时间较少(-6.6%,95% CI -7.8至-4.8),但周末(8.8%,95% CI 4.9至12.2)和平日(7.5%,95% CI 4.0至11.5)躺着的时间较多:24 小时运动行为的社会经济梯度很大,平日/周末和行为类型/姿势之间存在明显差异。这些发现强调,在研究或设计针对工作年龄成年人的干预措施时,需要考虑社会经济地位、行为类型/姿势和一周中的哪一天。
Socioeconomic gradients in 24-hour movement patterns across weekends and weekdays in a working-age sample: evidence from the 1970 British Cohort Study.
Background: Socioeconomic differences in movement behaviours may contribute to health inequalities. The aim of this descriptive study was to investigate socioeconomic patterns in device-measured 24-hour movement and assess whether patterns differ between weekdays and weekends.
Methods: 4894 individuals aged 46 years from the 1970 British Cohort Study were included. Participants wore thigh-worn accelerometers for 7 days. Movement behaviours were classified in two 24-hour compositions based on intensity and posture, respectively: (1) sleep, sedentary behaviour, light-intensity activity and moderate-vigorous activity; and (2) sleep, lying, sitting, standing, light movement, walking and combined exercise-like activity. Four socioeconomic measures were explored: education, occupation, income and deprivation index. Movement behaviours were considered compositional means on a 24-hour scale; isometric log ratios expressed per cent differences in daily time in each activity compared with the sample mean.
Results: Associations were consistent across all socioeconomic measures. For example, those with a degree spent more time in exercise-like activities across weekdays (10.8%, 95% CI 7.3 to 14.7; ref: sample mean) and weekends (21.9%, 95% CI 17.2 to 26.9). Other patterns differed markedly by the day of the week. Those with no formal qualifications spent more time standing (5.1%, 95% CI 2.3 to 7.1), moving (10.8%, 95% CI 8.6 to 13.1) and walking(4.0%, 95% CI 2.2 to 6.1) during weekdays, with no differences on weekends. Conversely, those with no formal qualifications spent less time sitting during weekdays (-6.6%, 95% CI -7.8 to -4.8), yet more time lying on both weekends (8.8%, 95% CI 4.9 to 12.2) and weekdays (7.5%, 95% CI 4.0 to 11.5).
Conclusions: There were strong socioeconomic gradients in 24-hour movement behaviours, with notable differences between weekdays/weekends and behaviour type/posture. These findings emphasise the need to consider socioeconomic position, behaviour type/posture and the day of the week when researching or designing interventions targeting working-age adults.
期刊介绍:
The Journal of Epidemiology and Community Health is a leading international journal devoted to publication of original research and reviews covering applied, methodological and theoretical issues with emphasis on studies using multidisciplinary or integrative approaches. The journal aims to improve epidemiological knowledge and ultimately health worldwide.