Titre : | Social Support, Loneliness and Mental Health during the COVID-19 Pandemic in France: A Longitudinal Study |
Auteurs : | Sandy Laham |
Type de document : | Mémoire |
Année de publication : | 2021 |
Description : | 51p. / ann., tabl. |
Langues: | Anglais |
Classement : | MPH21/ |
Mots-clés : | Covid 19 ; Crise sanitaire ; Isolement social ; Solitude ; Vulnérabilité ; Etat dépressif ; Prévention santé ; Santé mentale |
Résumé : |
Introduction: In times of crisis and stress, some factors, like social support, seem to protect mental health against adversities, however, other factors like feelings of loneliness are reported to increase negative mental health outcomes. In COVID-19 specifically, little is known on how social support and loneliness are evolving over time in France, and their impact on mental health. In line with this context, we aimed to (1) study the longitudinal trajectories of social support and loneliness in France during the COVID-19 pandemic, (2) explore which factors
predict these longitudinal trajectories to identify the vulnerable groups in the population, and (3) determine if variations of these trajectories predict symptoms of depression and anxiety. Methods: Data from 681 individuals in the COMET study collected at four periods of time from May 2020 until April 2021 was used. Group-based trajectory modelling was used to analyse social support and loneliness trajectories. Sociodemographic, health and COVID-19 related factors were explored through multinomial logistic regression to identify the predictors of these trajectories. Finally, linear regression models were used to test the association between the trajectories and symptoms of depression and anxiety. Results: Social support trajectories revealed four stable groups: ‘poor’ (17.0%), ‘moderate’ (42.4%), ‘strong’ (35.4%) and ‘very strong’ (5.1%). Loneliness trajectories identified also four groups: ‘low stable’ (17.8%), ‘low rising’ (40.2%), ‘moderate stable’ (37.6%) and ‘high rising’ (5.0%). Being single was a predictor of belonging to both: ‘low social support’ group (OR = 3.24, 95% CI [1.41 – 7.33]) and ‘high rising’ loneliness group (OR = 6.04, 95% CI [1.10 – 33.05]). Individuals with mental illnesses where more likely to belong to high loneliness groups. Higher levels of loneliness were associated with high symptoms of depression and anxiety, but not social support (β = 7.05, 95% CI [4.96 – 9.14]). Conclusion: Our findings showed that high and increasing levels of loneliness during the COVID-19 pandemic are predictive of increased symptoms of depression and anxiety. Specifically, single individuals and those with mental illnesses are mostly at risk. Interventions designed to combat loneliness are necessary during the pandemic and after. |
Diplôme : | Master MPH of public health |
Plan de classement simplifié : | Master of Public Health - master international de Santé Public (MPH) |
En ligne : | https://documentation.ehesp.fr/memoires/2021/mph/sandy_laham.pdf |
Exemplaires (1)
Code-barres | Cote | Support | Localisation | Section | Disponibilité |
---|---|---|---|---|---|
090335 | MPH21/0010 | Mémoire | Rennes | Magasin | Empruntable Disponible |
Documents numériques (1)
https://documentation.ehesp.fr/memoires/2021/mph/sandy_laham.pdf URL |