Associations of socioeconomic status with transport-related physical activity: combining a household travel survey and accelerometer data using random forestsReport as inadecuate




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* Corresponding author 1 EHESP - École des Hautes Études en Santé Publique EHESP 2 iPLESP - Institut Pierre Louis d-Epidémiologie et de Santé Publique 3 IPC - Imagerie Paris Centre Paris

Abstract : BackgroundSocioeconomic disparities in active transport have been documented in household travel surveys. However, active transport in these studies was operationalized with self-reported measures, which poorly approximate physical activity. Unfortunately, objective accelerometer data are very expensive to obtain in large-scale travel studies.PurposeTo benefit from a large sample and objective physical activity data, this study linked a cross-sectional household travel survey with accelerometer data from a small sample to investigate the association between socioeconomic disadvantage and the daily level of transport-related moderate-to-vigorous physical activity T-MVPA in an adult population 35–83 years.MethodsAccelerometer data for participants’ trips over 7 days from the RECORD GPS Study 7138 trips, 229 participants were combined with information on participants’ trips over 1 day from the Global Transport Survey Enquête Globale Transport, EGT 82084 trips, 21332 participants. Trip-level T-MVPA data from the RECORD sample were used to train a random forests prediction model, enabling the prediction of T-MVPA for each participant׳s trip from EGT. The associations between socioeconomic indicators and daily T-MVPA were analyzed with negative binomial regression models.ResultsAn average time of 18.9 min 95% confidence interval: 18.6–19.2 of T-MVPA was found for these 35–83 year old adults. The education level had a positive association with T-MVPA. Household income had a negative association with T-MVPA, especially for those people without a motorized vehicle.ConclusionsThis study developed a methodology exporting precise sensor-based knowledge to a large survey sample to shed light on population-level socioeconomic disparities in transport-related physical activity.

Keywords : Socially sustainable urban transport Moderate-to-vigorous physical activity Transport-related physical activity Multiple imputation Random forests France





Author: Ruben Brondeel - Bruno Pannier - Basile Chaix -

Source: https://hal.archives-ouvertes.fr/



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