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Additional file 1 of Resilience of people with chronic medical conditions during the COVID-19 pandemic: a 1-year longitudinal prospective survey

Authors :
Tarsitani, Lorenzo
Pinucci, Irene
Tedeschi, Federico
Patanè, Martina
Papola, Davide
Palantza, Christina
Acarturk, Ceren
Björkenstam, Emma
Bryant, Richard
Burchert, Sebastian
Davisse-Paturet, Camille
Díaz-García, Amanda
Farrel, Rachel
Fuhr, Daniela C.
Hall, Brian J.
Huizink, Anja C.
Lam, Agnes Iok Fong
Kurt, Gülşah
Leijen, Ingmar
Mittendorfer-Rutz, Ellenor
Morina, Naser
Panter-Brick, Catherine
Purba, Fredrick Dermawan
Quero, Soledad
Seedat, Soraya
Setyowibowo, Hari
van der Waerden, Judith
Pasquini, Massimo
Sijbrandij, Marit
Barbui, Corrado
Publication Year :
2022
Publisher :
figshare, 2022.

Abstract

Additional file 1: Procedures for model identification. Fig. S1. Flowchart of sample identification. Table S1. Descriptive statistics of resilience indicators across the survey waves (N = 1052)*. Table S2. Frequency of each chronic medical condition in the whole sample. Table S3. Comparison between participants with and without chronic medical conditions at baseline*. Table S4. Descriptive statistics at the first wave of socio-demographic and clinical characteristics of participants with a chronic condition included vs excluded (because did not fill at least three waves of the survey). Table S5. Gender distribution of participants.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....118131786ec75968bca68ffaf3de4f75
Full Text :
https://doi.org/10.6084/m9.figshare.21258819