Rita Latikka

Ms. Rita Latikka


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 April 2020 in JMIR Public Health and Surveillance
Verified
Journal Article
Open access
Atte OksanenAtte Oksanen
Atte Oksanen
MKMarkus Kaakinen
Markus Kaakinen
RLRita Latikka
Rita Latikka
Iina SavolainenIina Savolainen
Iina Savolainen
NSNina Savela
Nina Savela
AKAki Koivula
Aki Koivula
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: The outbreak of the coronavirus disease (COVID-19) has dramatically changed societies in 2020. Since the end of February, Europe has been hit particularly hard by COVID-19, but there are major country differences in both the spread of the virus and measures taken to stop the virus. Social psychological factors such as institutional trust could be important in understanding the development of the epidemic. Objective: The aim of this study was to examine country variations of COVID-19 mortality in Europe by analyzing social risk factors explaining the spread of the disease, restrictions and control measures, and institutional trust. Methods: The present study was based on a background analysis of European Social Survey data on 25 European countries (N=47,802). Multilevel mixed effects linear regression models focused on 84 days of the COVID-19 epidemic (January 22 to April 14, 2020) and modelled the daily COVID-19 mortality. Analysis focused on the impact of social relations, restrictions, and institutional trust within each country. Results: The spread of the COVID-19 epidemic has been fast everywhere, but the findings revealed significant differences between countries in COVID-19 mortality. Perceived sociability predicted higher COVID-19 mortality. Major differences between the 25 countries were found in reaction times to the crisis. Late reaction to the crisis predicted later mortality figures. Institutional trust was associated with lower COVID-19 mortality. Conclusions: The analyses demonstrated the importance of societal and social psychological factors in the spread of the COVID-19 epidemic. By considering multiple perspectives, this study showed that country differences in Europe are major, and this will have an impact on how countries will cope with the ongoing crisis in the following months. The results indicated the importance of timely restrictions and cooperation with people.

1 April 2019 in Computers in Human Behavior
Verified
Journal Article
Closed access
RLRita Latikka
Rita Latikka
TTTuuli Turja
Tuuli Turja
Atte OksanenAtte Oksanen
Atte Oksanen

14 July 2023 in Computers in Human Behavior: Artificial Humans
Verified
Journal Article
Open access
Atte OksanenAtte Oksanen
Atte Oksanen
ACAnica Cvetkovic
Anica Cvetkovic
NANalan Akin
Nalan Akin
RLRita Latikka
Rita Latikka
JBJenna Bergdahl
Jenna Bergdahl
NSNina Savela
Nina Savela

30 December 2021 in Journal of Medical Internet Research
Verified
Journal Article
Open access
RLRita Latikka
Rita Latikka
RRRosana Rubio-Hernández
Rosana Rubio-Hernández
Elena Simona LohanElena Simona Lohan
Elena Simona Lohan
JRJuho Rantala
Juho Rantala
FFFernando Nieto Fernández
Fernando Nieto Fernández
Atte OksanenAtte Oksanen
Atte Oksanen
Background: Loneliness and social isolation can have severe effects on human health and well-being. Partial solutions to combat these circumstances in demographically aging societies have been sought from the field of information and communication technology (ICT). Objective: This systematic literature review investigates the research conducted on older adults’ loneliness and social isolation, and physical ICTs, namely robots, wearables, and smart homes, in the era of ambient assisted living (AAL). The aim is to gain insight into how technology can help overcome loneliness and social isolation other than by fostering social communication with people and what the main open-ended challenges according to the reviewed studies are. Methods: The data were collected from 7 bibliographic databases. A preliminary search resulted in 1271 entries that were screened based on predefined inclusion criteria. The characteristics of the selected studies were coded, and the results were summarized to answer our research questions. Results: The final data set consisted of 23 empirical studies. We found out that ICT solutions such as smart homes can help detect and predict loneliness and social isolation, and technologies such as robotic pets and some other social robots can help alleviate loneliness to some extent. The main open-ended challenges across studies relate to the need for more robust study samples and study designs. Further, the reviewed studies report technology- and topic-specific open-ended challenges. Conclusions: Technology can help assess older adults’ loneliness and social isolation, and alleviate loneliness without direct interaction with other people. The results are highly relevant in the COVID-19 era, where various social restrictions have been introduced all over the world, and the amount of research literature in this regard has increased recently.

21 December 2021 in Social Science & Medicine
Verified
Journal Article
Open access
RLRita Latikka
Rita Latikka
AKAki Koivula
Aki Koivula
Reetta OksaReetta Oksa
Reetta Oksa
NSNina Savela
Nina Savela
Atte OksanenAtte Oksanen
Atte Oksanen
Impacts of the COVID-19 pandemic on well-being and mental health are a concern worldwide. This article is based on two longitudinal studies that investigated the role of social media use in loneliness and psychological distress before and during the COVID-19 pandemic. Study 1 utilized nationally representative 3-point longitudinal data (n = 735) collected in 2017–2020 on the Finnish population. Study 2 utilized 5-point longitudinal data (n = 840) collected in 2019–2021 representing the Finnish working population. We analyzed the data using multilevel mixed-effects regression analysis. A longitudinal analysis of Study 1 showed that perceived loneliness did not increase among the Finnish population during the COVID-19 pandemic. Stronger involvement in social media identity bubbles predicted lower loneliness during the pandemic. Study 2 results showed that since the outbreak of the pandemic, psychological distress has increased among lonely individuals but not among the general working population. Involvement in social media identity bubbles predicted generally lower psychological distress during the COVID-19 pandemic, but it did not buffer against higher psychological distress among lonely individuals. The findings suggest that perceived loneliness is a risk factor for prolonged negative mental health effects of the pandemic. Social media identity bubbles can offer meaningful social resources during times of social distancing but cannot protect against higher psychological distress among those who perceive themselves as often lonely.

2 November 2023 in Poetics
Verified
Journal Article
Open access
RLRita Latikka
Rita Latikka
JBJenna Bergdahl
Jenna Bergdahl
NSNina Savela
Nina Savela
Atte OksanenAtte Oksanen
Atte Oksanen