- Domènech-Abella, J., Lara, E., Rubio-Valera, M. et al. Soc Psychiatry Psychiatr Epidemiol (2017) Loneliness and depression in the elderly: the role of social network. https://doi.org/10.1007/s00127-017-1339-3
- Citation: Elmer T, Mepham K, Stadtfeld C (2020) Students under lockdown: Comparisons of students’ social networks and mental health before and during the COVID-19 crisis in Switzerland. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0236337
- Sharath Chandra Guntuku, David B Yaden, Margaret L Kern, Lyle H Ungar, Johannes C Eichstaedt (2017) Detecting depression and mental illness on social media: an integrative review. https://doi.org/10.1016/j.cobeha.2017.07.005
LONELINESS AND DEPRESSION I NTHE ELDERLY: THE ROLE OF SOCIAL NETWORK
This article studies the relation between loneliness and depression and the social network in the elderly. It’s analyzed trough choosing some adults of more tan 50 years old, measuring the loneliness with UCLA scale, social network features using Berkman-Syme index, and depression with CIDI. The results explain us that loneliness feelings were more prevalent in women (50-65) years old, who are single, separated or divorced, living in a rural setting with a lower frequency of social media interactions- In depressed people, the feeling of loneliness was associated with having a small social network without a lot of interactions. Due this we can say that size of interactions in social networks can benefit to reduce the prevalence of depression and loneliness in Spanish older adults.
STUDENTS UNDER LOCKDOWN: COMPARISONS OF STUDENT’S SOCIAL NETWORKS AND MENTAL HEALTH BEFORE AND DURING THE COVID-19 CRISIS IN SWITZERLAND
This study analyzes the social network and mental health of the students before and during the COVID-19 crisis in Switzerland, using longitudinal data collected since 2018, they analyze the changes of different features of the social network, like interaction, friendship, social support… And mental health indicators, depression, anxiety, stress, loneliness. We can see that the COVID-19 crisis have affected the social integration of some students , during this crisis the social support decrease and have a weak integration in the social networks of students, female students appeared to be at higher risk of facing negative mental health consequences.
DETECTING DEPRESSION AND MENTAL ILLNESS ON SOCIAL MEDIA: AN INTEGRATIVE REVIEW
The use of social media can provide us opportunities to help reducing undiagnosed mental illness. A growing number of studies examine mental health within social media contexts, stress, anxiety, depression, suicidality. Depression continues to be under diagnosed, with roughly half the cases are detected by primary care physicians and only 13_49% receiving minimally adequate treatment. The analysis is trough building predictive models, which uses features that have been extracted form social media data. With this analysis suggest that depression and other mental illnesses are detectable on several online environments.
After reading and analyzing this articles we can see that social media can affects negatively specially in people who uknown this online environment, like older people, but undoubtedly help people facilitating social integration and communication for example during the COVID-19 crisis when the people were lockdown.
The most positive thing about the social media is the opportunity that it gives us to detect mental issues of the rest of the people, as the last article said because not all the mental issues are diagnosed.
In conclusion the social media provides us more positive things than negative, but it depends of the correct use of the people. It’s a very difficult subject for older people because they are a 21st century invention, and not everyone have born and grow up with them. But even so, the first article can confirm us that helps a little bit whit the communication of the old people who are in a rural environment and lives alone.