class: center, middle, inverse, title-slide # International symposium ## COVID-19
Longitudinal analysis ### Luis Anunciação, Lucas Barrozo, Fabiana Ribeiro, Anja Leist, Landeira-Fernandez ### PUC-Rio, UFRJ, Universidade de Luxemburgo ### 2020/27/03 (updated: 2021-03-31) --- class: center, middle, inverse <style> .remark-slide-number { position: inherit; } .remark-slide-number .progress-bar-container { position: absolute; bottom: 0; height: 4px; display: block; left: 0; right: 0; } .remark-slide-number .progress-bar { height: 100%; background-color: gray; } </style>
# Background & Motivation --- # Background & Motivation .pull-left[ 1. On 11 Mar 2020, the World Health Organization (WHO) declared the outbreak a global pandemic; 1. Brazil is fighting a terrible COVID-19 waves exacerbated by multiple inadequate responses; 1. The rapidly evolving situation has drastically altered people's lives; 1. Health also includes from the neck up diseases; ] .pull-right[ 1. The uncertainties and fears associated with the outbreak, along with mass lockdowns and economic recession are predicted negatively impact the mental health; 1. increase the psychological distress in the general population, as well as in persons with pre-existing mental disorders; 1. Lack of interpersonal attachments is linked to poor physical, emotional, and mental health (Baumeister & Leary, 1995); 1. There is a lot of forecasts related to economic aspects, but just a few related to mental health; 1. Understand the consequences of the social distance in mental health; ] --- class: center, middle, inverse # The current study --- # Objectives & Methodology .pull-left[ 1. This is an exploratory survey; 1. Web-based data collection; 1. A convenience-sampling plan was the main strategy; 1. Participants were recruited at two times (the first current moment and 6 months later; ] .pull-right[ 1. To explore the impacts of social distancing and quarantine in two waves in aspects related to mental health, especially in depression and anxiety among Brazilian participants; 1. To check for differences in anxiety and depression trajectories including time and quarantine-related variables as predictors (if you stay at home, how many hours you stay at home, how often you leave home). ] --- # Demographic aspects
--- class: center, middle, inverse # Descriptives --- class: middle, center # First wave ## Contextual variables <img src="R-Markdown---covid-19-data-analysis_files/figure-html/unnamed-chunk-7-1.png" width="504" /> --- class: middle, center # First wave ## Contextual variables <img src="R-Markdown---covid-19-data-analysis_files/figure-html/unnamed-chunk-9-1.png" width="504" /> --- class: center, middle, inverse # Results --- class: middle, center # First wave ## I'm worried about (...) <img src="R-Markdown---covid-19-data-analysis_files/figure-html/unnamed-chunk-10-1.png" width="65%" /> --- class: middle, center # First wave ## Depression <img src="R-Markdown---covid-19-data-analysis_files/figure-html/unnamed-chunk-11-1.png" width="504" /> .footnote[[*] Overall mean = 23.21 (SD: 12.86).] --- class: middle, center # First wave ## Anxiety <img src="R-Markdown---covid-19-data-analysis_files/figure-html/unnamed-chunk-12-1.png" width="504" /> .footnote[[*] Overall mean = 9.54 (SD: 5.75).] --- class: middle, center # First wave ## Depression & Anxiety <img src="R-Markdown---covid-19-data-analysis_files/figure-html/unnamed-chunk-13-1.png" width="504" /> --- class: center, middle, inverse # Follow up --- class: middle, center # Longitudinal analysis <img src="R-Markdown---covid-19-data-analysis_files/figure-html/unnamed-chunk-16-1.png" width="65%" /> --- class: inverse, middle, center # Hypothesis ## Mental health (Time evolution and group condition) -- Depression (CES) --- # Table & Graph .pull-left[ | | Leave from home (N=45) | Stay at home (N=73) | |:---------------------------|:----------------------:|:-------------------:| |**total_ces_t1** | | | | Mean (SD) | 20.156 (13.047) | 22.973 (12.794) | | Range | 0.000 - 53.000 | 1.000 - 54.000 | |**total_ces_t2** | | | | Mean (SD) | 20.222 (13.623) | 24.205 (13.809) | | Range | 0.000 - 52.000 | 2.000 - 60.000 | ] .pull-right[ <img src="R-Markdown---covid-19-data-analysis_files/figure-html/unnamed-chunk-18-1.png" width="504" /> ] --- # Overall results ----------------------------------------------------------------------------------- Test statistic df P value Alternative hypothesis mean of the differences ---------------- ----- --------- ------------------------ ------------------------- -0.723 117 0.4711 two.sided -0.7881 ----------------------------------------------------------------------------------- Table: Paired t-test: `ds_t1_t2$total_ces_t1` and `ds_t1_t2$total_ces_t2` --- # Interaction <table> <thead> <tr> <th style="text-align:left;"> </th> <th style="text-align:right;"> Sum Sq </th> <th style="text-align:right;"> Mean Sq </th> <th style="text-align:right;"> NumDF </th> <th style="text-align:right;"> DenDF </th> <th style="text-align:right;"> F value </th> <th style="text-align:right;"> Pr(>F) </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> factor(group) </td> <td style="text-align:right;"> 159.67 </td> <td style="text-align:right;"> 159.67 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 116 </td> <td style="text-align:right;"> 2.26 </td> <td style="text-align:right;"> 0.14 </td> </tr> <tr> <td style="text-align:left;"> factor(time) </td> <td style="text-align:right;"> 23.51 </td> <td style="text-align:right;"> 23.51 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 116 </td> <td style="text-align:right;"> 0.33 </td> <td style="text-align:right;"> 0.56 </td> </tr> <tr> <td style="text-align:left;"> factor(group):factor(time) </td> <td style="text-align:right;"> 18.93 </td> <td style="text-align:right;"> 18.93 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 116 </td> <td style="text-align:right;"> 0.27 </td> <td style="text-align:right;"> 0.61 </td> </tr> </tbody> </table> --- class: inverse, middle, center # Hypothesis ## Mental health (Time evolution and group condition) -- Depression (CES) -- Anxiety (GAD) --- # Overall results .pull-left[ | | Leave from home (N=45) | Stay at home (N=73) | |:---------------------------|:----------------------:|:-------------------:| |**total_gad_t1** | | | | Mean (SD) | 8.956 (5.174) | 9.548 (5.706) | | Range | 0.000 - 21.000 | 0.000 - 21.000 | |**total_gad_t2** | | | | Mean (SD) | 9.422 (6.013) | 9.904 (5.991) | | Range | 0.000 - 20.000 | 1.000 - 21.000 | ] .pull-right[ <img src="R-Markdown---covid-19-data-analysis_files/figure-html/unnamed-chunk-22-1.png" width="504" /> ] --- # Overall results ----------------------------------------------------------------------------------- Test statistic df P value Alternative hypothesis mean of the differences ---------------- ----- --------- ------------------------ ------------------------- -0.7757 117 0.4395 two.sided -0.3983 ----------------------------------------------------------------------------------- Table: Paired t-test: `ds_t1_t2$total_gad_t1` and `ds_t1_t2$total_gad_t2` --- # Interaction <table> <thead> <tr> <th style="text-align:left;"> </th> <th style="text-align:right;"> Sum Sq </th> <th style="text-align:right;"> Mean Sq </th> <th style="text-align:right;"> NumDF </th> <th style="text-align:right;"> DenDF </th> <th style="text-align:right;"> F value </th> <th style="text-align:right;"> Pr(>F) </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> factor(group) </td> <td style="text-align:right;"> 4.97 </td> <td style="text-align:right;"> 4.97 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 116 </td> <td style="text-align:right;"> 0.32 </td> <td style="text-align:right;"> 0.57 </td> </tr> <tr> <td style="text-align:left;"> factor(time) </td> <td style="text-align:right;"> 9.42 </td> <td style="text-align:right;"> 9.42 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 116 </td> <td style="text-align:right;"> 0.60 </td> <td style="text-align:right;"> 0.44 </td> </tr> <tr> <td style="text-align:left;"> factor(group):factor(time) </td> <td style="text-align:right;"> 0.17 </td> <td style="text-align:right;"> 0.17 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 116 </td> <td style="text-align:right;"> 0.01 </td> <td style="text-align:right;"> 0.92 </td> </tr> </tbody> </table> --- # Conclusions .pull-left[ 1. The depression levels were above the recommended cutoff score at both times; 1. The anxiety levels were only close to cutoff, suggesting that these participants were not experiencing high anxiety during both times (however, subclinical symptoms are not desconsidered); 1. Compared to men, Women presented significantly higher results for depression and anxiety, as observed in the literature, in both times; 1. Social distancing, lockdowns, and quarantine are supposed to partially explain these outcomes; ] .pull-right[ 1. No significant differences were found in depression and anxiety among the groups (stay x leave) 1. Regardless the passage of time or being able to chose between stay of leave from home, they remained with high results 1. Non-significant results <b>are results</b> and we are still discussing our findings ] .footnote[[*] Not really. See next page.] --- # Thank you This research was supported by PUC-Rio, UFRJ, and University of Luxembourg Public note: 4.125.060 emails: luisfca@puc-rio.br