RESUMO
BACKGROUND: Education is thought to benefit health. However, existing studies have predominantly focused on educational attainment-the type of institution attended has been overlooked, despite being an important indicator of education resources, quality, and future socioeconomic outcomes. In this study, we investigated associations between type of high school or university attended and multiple adult health outcomes. METHODS: The 1970 British Cohort Study was used (n=8107). Associations between high school (comprehensive, grammar, private) and university (classified as normal or higher status (Russell Group)) attended with 10 health outcomes that capture cardiometabolic risks, physical capabilities and cognitive function at age 46 years were investigated. Multivariable regression models were used, adjusting for sex and childhood socioeconomic, health and cognitive factors. RESULTS: Both private school and higher-status university attendance were related to favourable health outcomes. After adjusting for potential confounders, associations between private school attendance and cardiometabolic risks remained; associations for higher-status university attendance and cognitive function remained, while associations with other outcomes were largely attenuated. For example, after full adjustment, private school attendance was associated with a 0.14 SD (95% CI: 0.04 to 0.23) lower body mass index and higher-status university attendance with a 0.16 SD (0.07 to 0.26) better memory recall. CONCLUSION: The type of educational institution attended was associated with multiple health outcomes, suggesting it might be a relevant factor to consider in future health inequality research-particularly in contemporary populations which have high overall attainment levels. Further research is warranted to test the causal nature of this relationship and its generalisability to other contexts.
RESUMO
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.