Resilience to adverse events is increasingly recognized as important for human health. Socio-economic status (SES) is also frequently identified as a predictor of resilience. However, it is not well-understood how people define resilience in their everyday lives, and whether individuals have different experiences of resilience based on their SES. This study sought to fill these gaps, in the context of the COVID-19 pandemic and pandemic mitigation policies in the Netherlands.We interviewed high (n = 38) and low (n = 37) SES participants about their understanding and experiences of resilience during this period. Participants took part in individual interviews and focus groups in September 2021. Transcripts were analyzed thematically.A key theme was coping with adversity, in line with commonly-used definitions of resilience. However, we found that resilience was often defined more broadly. Resilience also encompassed aspects of self-reflection and improvement, and faith in oneself, the community and the nation. There were also key differences by SES background: elaborate and optimistic definitions and experiences of resilience were more often described by high SES individuals. For instance, high SES participants more frequently defined resilience as growing and improving. In contrast, low SES participants more commonly experienced resilience as enduring until better times arrived.Having a higher SES seemed to support resilience during the COVID-19 pandemic. This indicates that adverse events may exacerbate pre-existing financial and material difficulties among low SES individuals. This finding underscores the importance of addressing financial precarity prior to adverse events.
MULTIFILE
Objective We examined whether the role of maternal education in children's unhealthy snacking diet is moderated by other socio-economic indicators. Methods Participants were selected from the Amsterdam Born Children and their Development cohort, a large ongoing community-based birth cohort. Validated Food Frequency Questionnaires (FFQ) (n = 2782) were filled in by mothers of children aged 5.7±0.5yrs. Based on these FFQs, a snacking dietary pattern was derived using Principal Component Analysis. Socio-economic indicators were: maternal and paternal education (low, middle, high; based on the highest education completed) household finance (low, high; based on ability to save money) and neighbourhood SES (composite score including educational level, household income and employment status of residents per postal code). Cross-sectional multivariable linear regression analysis was used to assess the association and possible moderation of maternal education and other socio-economic indicators on the snacking pattern score. Analyses were adjusted for children's age, sex and ethnicity. Results Low maternal education (B 0.95, 95% CI 0.83;1.06), low paternal education (B 0.36, 95% CI 0.20;0.52), lower household finance (B 0.18, 95% CI 0.11;0.26) and neighbourhood SES (B -0.09, 95% CI -0.11;-0.06) were independently associated with higher snacking pattern scores (p<0.001). The association between maternal education and the snacking pattern score was somewhat moderated by household finance (p = 0.089) but remained strong. Children from middle-high educated mothers (B 0.44, 95% CI 0.35;0.52) had higher snacking pattern scores when household finance was low (B 0.49, 95% CI 0.33;0.65). Conclusions All socio-economic indicators were associated with increased risk of unhealthy dietary patterns in young children, with low maternal education conferring the highest risk. Yet, within the group of middle-high educated mothers, lower household finance was an extra risk factor for unhealthy dietary patterns. Intervention strategies should therefore focus on lower educated mothers and middle-high educated mothers with insufficient levels of household finance.
Purpose: In Amsterdam – the Netherlands – we know that children living in low income households have a lower health status and report lower physical activity levels than their peers in middle- or high-income households. Seven primary schools located in neighborhoods with a low social-economic status are currently developing their own active school using the ‘Creating Active Schools Framework’. This study was conducted to assess the current physical activity and sedentary behavior patterns during and after school of the pupils in these seven primary schools.Methods: In this cross-sectional study, we collect data in seven schools located within an Amsterdam neighborhood with a low social economic status score. Within each school, 4 classes are eligible for participation. Children wear an accelerometer from Monday morning until Friday afternoon to assess physical activity levels. Parents of participating children are asked to complete a questionnaire on baseline characteristics, wellbeing and out of school physical activity behaviors. The mean sedentary time (ST), low physical activity (LPA) time and Moderate to Vigorous physical activity (MVPA) time will be calculated. The association between the outcomes of the accelerometer data and gender and health related outcomes reported by parents will be assessed.Results: The data will be collected between March and May 2023. We will present the average LPA and MVPA during and after school time. The duration of the ST bouts during and after schooltime. And associations between ST, LPA and MVPA and gender and health related outcomes.Conclusions: The results of this study will be used to support local school teams in the development and implementation of local action plans towards a school day that involves less sitting and more physical activity.
