Purpose: Sustainable Development (1) promotes Active Mobility (AM, i.e., walking, cycling) as a source of people and environment health promotion (2). In Italy, the behavioural risk factor surveillance PASSI (6) collects data on AM and health indicators, including depression and quality of life (QoL). Despite MH significantly impacting people’s life and societal well-being (7), their relationship with AM has been neglected. The COVID-19 lockdowns saw depression levels and sedentary habits rising; however, QoL has improved since then (8). The Italian National Health Institute (ISS) states the relevance of research in implementing measures that promote MH and public well-being (9). The authors are collaborating with Modena’s Local Health Authority (AUSL) to fill this gap. Methods: The study uses a quantitative and cross-sectional methodology and primary source data from a large sample (PASSI database, N[50.000 adults living in urban and rural areas). The variables include AM as the exposure (bike, walk, both; minutes/ week) and MH outcomes (depressive symptoms, PHQ-2, and selfrelated health, H-RQoL). Also, controlling variables (sociodemographic, environmental, and other health indicators) will be considered. Results: The literature is promising (3–5) but mixed: although the relationship seems overall positive, this is not true for every subsample. The findings would deepen our understanding of AM and its correlates, particularly in Italy. Conclusions: According to the University’s Third Mission (10), this joint work will encourage health, economy, urban and transport planning experts networking and will spark further experimental research to define active mobility as a successful public health and sustainability strategy. References: 1.United Nations. 2018—https: //sdgs.un.org/2030agenda 2.Alattar MA, et al. Sustainability (Switzerland). 2021;13(13). 3.Kelly P, et al. British Journal of Sports Medicine. 2018;52(12). 4.Marques A, et al. Int J Environ Res Public Health. 2020;17(3). 5.Martin A, et al. Preventive Medicine. 2014;69. 6.Sorveglianza Passi. ISS—https: //www.epicentro.iss.it/passi/ 7.Mental health. WHO, 2022—https: //www.who.int/news-room/ fact-sheets/detail/mental-health-strengthening-our-response 8.GNT PASSI e PdA, 2021—https: //www.epicentro.iss.it/cor onavirus/sars-cov-2-flussi-dati-confronto-passi-pda 9.Gigantesco A, et al. BEN, 2021—https: //www.iss.it/web/guest// news/-/asset_publisher/gJ3hFqMQsykM/content/id/5856944 10.Universit’ di Bologna—https: //www.unibo.it/it/terza-missione/ terza-missione

Scrivano, L., Manners, D.N., Masini, A., Dallolio, L. (2023). Active mobility and mental health in italy: the passi surveillance data [10.1007/s11332-024-01174-z].

Active mobility and mental health in italy: the passi surveillance data

Luana Scrivano
Primo
Conceptualization
;
David Neil Manners
Secondo
Data Curation
;
2023

Abstract

Purpose: Sustainable Development (1) promotes Active Mobility (AM, i.e., walking, cycling) as a source of people and environment health promotion (2). In Italy, the behavioural risk factor surveillance PASSI (6) collects data on AM and health indicators, including depression and quality of life (QoL). Despite MH significantly impacting people’s life and societal well-being (7), their relationship with AM has been neglected. The COVID-19 lockdowns saw depression levels and sedentary habits rising; however, QoL has improved since then (8). The Italian National Health Institute (ISS) states the relevance of research in implementing measures that promote MH and public well-being (9). The authors are collaborating with Modena’s Local Health Authority (AUSL) to fill this gap. Methods: The study uses a quantitative and cross-sectional methodology and primary source data from a large sample (PASSI database, N[50.000 adults living in urban and rural areas). The variables include AM as the exposure (bike, walk, both; minutes/ week) and MH outcomes (depressive symptoms, PHQ-2, and selfrelated health, H-RQoL). Also, controlling variables (sociodemographic, environmental, and other health indicators) will be considered. Results: The literature is promising (3–5) but mixed: although the relationship seems overall positive, this is not true for every subsample. The findings would deepen our understanding of AM and its correlates, particularly in Italy. Conclusions: According to the University’s Third Mission (10), this joint work will encourage health, economy, urban and transport planning experts networking and will spark further experimental research to define active mobility as a successful public health and sustainability strategy. References: 1.United Nations. 2018—https: //sdgs.un.org/2030agenda 2.Alattar MA, et al. Sustainability (Switzerland). 2021;13(13). 3.Kelly P, et al. British Journal of Sports Medicine. 2018;52(12). 4.Marques A, et al. Int J Environ Res Public Health. 2020;17(3). 5.Martin A, et al. Preventive Medicine. 2014;69. 6.Sorveglianza Passi. ISS—https: //www.epicentro.iss.it/passi/ 7.Mental health. WHO, 2022—https: //www.who.int/news-room/ fact-sheets/detail/mental-health-strengthening-our-response 8.GNT PASSI e PdA, 2021—https: //www.epicentro.iss.it/cor onavirus/sars-cov-2-flussi-dati-confronto-passi-pda 9.Gigantesco A, et al. BEN, 2021—https: //www.iss.it/web/guest// news/-/asset_publisher/gJ3hFqMQsykM/content/id/5856944 10.Universit’ di Bologna—https: //www.unibo.it/it/terza-missione/ terza-missione
2023
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Scrivano, L., Manners, D.N., Masini, A., Dallolio, L. (2023). Active mobility and mental health in italy: the passi surveillance data [10.1007/s11332-024-01174-z].
Scrivano, Luana; Manners, DAVID NEIL; Masini, Alice; Dallolio, Laura
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1001025
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