Longitudinal development of well-being among Finnish employees during 2019-2021: Relationships with personality trait profiles.

We examined well-being profiles among Finnish employees before and during the COVID-19 pandemic and their links with personality trait profiles. Longitudinal survey data were collected in 2019-2021, and 733 respondents participated in all five surveys. The data were analyzed with a person-centered approach using latent profile analysis (LPA). Measures included burnout, work engagement, psychological distress; and Big Five personality traits. Six well-being profiles: Disengaged, Declined, Engaged, Fluctuated, Stable, and Burned-out, and four personality profiles: Ordinary, Reserved, Resilient, and Overcontrolled were identified. Resilient participants typically belonged to the Engaged well-being profile and Reserved to Burned-out and Fluctuated well-being profiles. Although some separation in developmental well-being profiles existed, overall, well-being was rather stable. Personality trait profiles played a crucial role in maintaining well-being.

COVID-19 Anxiety and Wellbeing at Work in Finland during 2020-2022: A 5-Wave Longitudinal Survey Study.

The COVID-19 pandemic impacted workers globally during 2020-2022 and it has had major psychological implications for workers' wellbeing. This longitudinal study analyzed risk and protective factors predicting COVID-19 anxiety among workers in Finland. Longitudinal national sample of Finnish workers (n = 685) participated in a five-wave study conducted in 2020-2022, covering multiple waves of the COVID-19 pandemic and its aftermath. Our outcome measure was COVID-19 anxiety. Predictors were psychological distress, work exhaustion, technostress, and loneliness. Models also controlled for self-regulation; social support at work and remote working; and socio-demographic background factors. Both within-person and between-person effects were analyzed using multilevel hybrid regression models. COVID-19 anxiety varied between time points which is explained by changes in circumstances during the pandemic. Highest anxiety was expressed in the middle of the Delta variant surge and lockdown in spring 2021. Within-person changes in psychological distress, work exhaustion, technostress, self-regulation, and perceived loneliness were all associated with COVID-19 anxiety. Between-person results showed that distressed, exhausted, technostressed, and lonely workers expressed more anxiety than others. Remote workers reported higher anxiety over time than others. Those who had reported high self-regulation reported lower anxiety than others. Female gender and younger age were associated with higher anxiety. COVID-19 anxiety continues to be an important phenomenon with a magnitude of consequences on people and numerous industries. This study showed that general mental health and work stressors predict COVID-19 anxiety. Promoting social support and workers' self-regulation skills can be beneficial for overcoming anxiety during and after the pandemic.

Escapism and Excessive Online Behaviors: A Three-Wave Longitudinal Study in Finland during the COVID-19 Pandemic.

Excessive online behaviors refer to harmful or disproportionate use of digital network applications. Such behaviors are likely to be associated with escapist motives. Our aim was to analyze whether escapism predicts excessive gambling, excessive gaming, and excessive internet use over time. A longitudinal sample of Finnish residents aged 18-75 years (n = 1022, 51.27% male) was surveyed at three time points during the COVID-19 pandemic in 6-month intervals: April 2021 (Time 1), October-November 2021 (Time 2), and April-May 2022 (Time 3). Of the original Time 1 respondents, 66.80% took part in the surveys at both Time 2 and Time 3. All surveys included measures for excessive gambling (Problem Gambling Severity Index), excessive gaming (Internet Gaming Disorder Test), and excessive internet use (Compulsive Internet Use Scale). Three escapism-specific questions were used to construct a dedicated escapism variable. Socio-demographic variables, alcohol consumption, and psychological distress were used as controls. The study was conducted with multilevel regression analyses using hybrid models. Our research showed that escapism had strong within-person effects on excessive gambling, B = 0.18, p = 0.003; excessive gaming, B = 0.50, p < 0.001; and excessive internet use, B = 0.77, p < 0.001 over time. The between-person effect of escapism was demonstrated on excessive gaming B = 0.91, p < 0.001, and excessive internet use B = 0.61, p = 0.036. Adverse societal events and uncertain times can manifest in excessive online behaviors motivated by escapism, highlighting a need to focus prevention efforts on healthy coping methods.

Gambling and gaming during COVID-19: The role of mental health and social motives in gambling and gaming problems.

BACKGROUND: The uncertain and stressful global situation caused by the COVID-19 pandemic has the potential to cause anxiety and impact people's mental health. Simultaneously, social distancing policies have isolated people from their normal social interactions. These societal changes have inevitably influenced gambling and gaming practices, and many people may have turned to betting or gaming as a means of social exchange. This study examined the influence of COVID-19 anxiety on increased mental health problems and their relationship to gambling and gaming problems. The mediating role of social motives for gambling and gaming was also investigated. MATERIAL AND METHODS: Finnish adults (N = 1530; Mage = 46.67; 50.33% male) were recruited from a volunteer participant panel to participate in a survey study. COVID-19 anxiety was assessed using a scale adapted from the Spielberger State-Trait Anxiety Inventory. Mental health problems were evaluated with the five-item Mental Health Inventory. Gambling problems were measured using the Problem Gambling Severity Index, and gaming problems were measured with the Internet Gaming Disorder Test. Social motives for gaming were evaluated using a single-item measure. Analyses used generalised structural equation modelling. RESULTS: COVID-19 anxiety predicted increased mental health problems, which were associated with heightened gambling and gaming problems. Social motives for gambling and gaming were a significant mediator, suggesting that gambling and gaming problems are emphasized markedly among those who are socially motivated by and involved in such games. CONCLUSIONS: Mental health problems experienced during the pandemic and the social properties of games might accentuate gambling and gaming problems.

Affective Attitudes Toward Robots at Work: A Population-Wide Four-Wave Survey Study.

Robotization of work is progressing fast globally, and the process has accelerated during the COVID-19 pandemic. Utilizing integrated threat theory as a theoretical framework, this study investigated affective attitudes toward introducing robots at work using a four timepoint data (n = 830) from a Finnish working population longitudinal study. We used hybrid multilevel linear regression modelling to study within and between participant effects over time. Participants were more positive toward introducing robots at work during the COVID-19 pandemic than before it. Increased cynicism toward individuals' own work, robot-use self-efficacy, and prior user experiences with robots predicted positivity toward introducing robots at work over time. Workers with higher perceived professional efficacy were less and those with higher perceived technology-use productivity, robot-use self-efficacy, and prior user experiences with robots were more positive toward introducing robots at work. In addition, the affective attitudes of men, introverts, critical personalities, workers in science and technology fields, and high-income earners were more positive. Robotization of work life is influenced by workers' psychological well-being factors and perceived as a welcomed change in the social distancing reality of the pandemic.

Managing Perceived Loneliness and Social-Isolation Levels for Older Adults: A Survey with Focus on Wearables-Based Solutions.

As an inevitable process, the number of older adults is increasing in many countries worldwide. Two of the main problems that society is being confronted with more and more, in this respect, are the inter-related aspects of feelings of loneliness and social isolation among older adults. In particular, the ongoing COVID-19 crisis and its associated restrictions have exacerbated the loneliness and social-isolation problems. This paper is first and foremost a comprehensive survey of loneliness monitoring and management solutions, from the multidisciplinary perspective of technology, gerontology, socio-psychology, and urban built environment. In addition, our paper also investigates machine learning-based technological solutions with wearable-sensor data, suitable to measure, monitor, manage, and/or diminish the levels of loneliness and social isolation, when one also considers the constraints and characteristics coming from social science, gerontology, and architecture/urban built environments points of view. Compared to the existing state of the art, our work is unique from the cross-disciplinary point of view, because our authors' team combines the expertise from four distinct domains, i.e., gerontology, social psychology, architecture, and wireless technology in addressing the two inter-related problems of loneliness and social isolation in older adults. This work combines a cross-disciplinary survey of the literature in the four aforementioned domains with a proposed wearable-based technological solution, introduced first as a generic framework and, then, exemplified through a simple proof of concept with dummy data. As the main findings, we provide a comprehensive view on challenges and solutions in utilizing various technologies, particularly those carried by users, also known as wearables, to measure, manage, and/or diminish the social isolation and the perceived loneliness among older adults. In addition, we also summarize the identified solutions which can be used for measuring and monitoring various loneliness- and social isolation-related metrics, and we present and validate, through a simple proof-of-concept mechanism, an approach based on machine learning for predicting and estimating loneliness levels. Open research issues in this field are also discussed.

Older Adults' Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review.

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.

Loneliness and psychological distress before and during the COVID-19 pandemic: Relationships with social media identity bubbles.

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.

Drinking and Social Media Use Among Workers During COVID-19 Pandemic Restrictions: Five-Wave Longitudinal Study.

BACKGROUND: The COVID-19 pandemic restricted everyday life during 2020-2021 for many people worldwide. It also affected alcohol consumption patterns and leisure activities, including the use of social media. OBJECTIVE: The aim of this study was to analyze whether social media use predicts increased risky drinking over time and during the COVID-19 pandemic restrictions in particular. METHODS: This 5-wave longitudinal survey study, based on a nationwide sample of workers, was conducted in Finland in 2019-2021. A total of 840 respondents (male: 473/840, 56.31%; age range 18-64 years; mean age 43.90, SD 11.14 years) participated in all 5 waves of the study. The outcome variable was risky drinking, measured using the 3-item Alcohol Use Disorders Identification Test (AUDIT-C). Multilevel linear hybrid modeling enabled the investigation of both within-person and between-person effects. Predictors included social media use and communication, involvement in social media identity bubbles, psychological distress, and remote working. Controls included sociodemographic factors and the Big Five personality traits. RESULTS: Increased involvement in social media identity bubbles was associated with an increase in risky drinking behavior. Of all social media platforms examined, online dating app use was associated with riskier use of alcohol over time during the COVID-19 crisis. Daily social media communication with colleagues about nonwork topics was associated with risky drinking. Female gender, younger age, university education, nonindustrial occupational field, conscientiousness, agreeableness, and neuroticism were associated with lower levels of risky drinking. CONCLUSIONS: Social media use during a pandemic carries some risks for alcohol consumption. Involvement in social media identity bubbles and online dating are risk factors for excessive drinking during the COVID-19 pandemic.

Loneliness and Well-Being during the COVID-19 Pandemic: The Moderating Roles of Personal, Social and Organizational Resources on Perceived Stress and Exhaustion among Finnish University Employees.

The aim of this study is to investigate whether personal, social and organizational level resources can buffer against the negative effects of perceived loneliness on stress and exhaustion. The data was collected from Finnish university employees (n = 1463) in autumn 2020 via an electronic survey. Of the respondents, about 78% were working remotely, and 64% were female. Hierarchical multiple regression analyses were used to analyze the main and moderating (i.e., buffering) effects. The results indicated that perceived loneliness was directly and positively associated with stress and exhaustion. Further, as hypothesized, personal resilience moderated the relationship between loneliness and stress and exhaustion, and organizational support moderated the relationship between loneliness and stress. Unexpectedly, organizational support did not moderate the loneliness-exhaustion relationship. Moreover, a sense of social belonging was not associated with stress and exhaustion, nor did it moderate loneliness and well-being relationships. The results demonstrate the importance of personal resilience and organizational support in enhancing well-being in organizations during the COVID-19 pandemic. Future research directions and practical ways to promote resilience and to increase organizational support are discussed.

Professional Social Media Usage and Work Engagement Among Professionals in Finland Before and During the COVID-19 Pandemic: Four-Wave Follow-Up Study.

BACKGROUND: The COVID-19 pandemic has changed work life profoundly and concerns regarding the mental well-being of employees' have arisen. Organizations have made rapid digital advancements and have started to use new collaborative tools such as social media platforms overnight. OBJECTIVE: Our study aimed to investigate how professional social media communication has affected work engagement before and during the COVID-19 pandemic and the role of perceived social support, task resources, and psychological distress as predictors and moderators of work engagement. METHODS: Nationally representative longitudinal survey data were collected in 2019-2020, and 965 respondents participated in all 4 surveys. Measures included work engagement, perceived social support and task resources, and psychological distress. The data were analyzed using a hybrid linear regression model. RESULTS: Work engagement remained stable and only decreased in autumn 2020. Within-person changes in social media communication at work, social support, task resources, and psychological distress were all associated with work engagement. The negative association between psychological distress and work engagement was stronger in autumn 2020 than before the COVID-19 outbreak. CONCLUSIONS: The COVID-19 pandemic has exerted pressure on mental health at work. Fostering social support and task resources at work is important in maintaining work engagement. Social media communication could help maintain a supportive work environment.

COVID-19 crisis and digital stressors at work: A longitudinal study on the Finnish working population.

The global crisis caused by the outbreak of a novel coronavirus and the associated disease (COVID-19) has changed working conditions due to social-distancing policies. Many workers started to use new technologies at work, including social media applications. In this longitudinal study, we investigated the potential stress effects of social media communication (SMC) at work. Based on our integrative theoretical model, we expected that SMC at work would burden some workers, but those who were accustomed to SMC at work would be better off when the crisis started. We collected a nationally representative sample of Finnish workers before (N = 1308) and during (N = 1081) the COVID-19 crisis. Outcome measures included technostress and work exhaustion. Multilevel linear mixed-effects regression models investigated formal and informal SMC at work. Covariates included cyberbullying at work, social media usage, personality, occupational status, and sociodemographic factors. Results showed that formal SMC increased and predicted higher technostress. However, technostress and work exhaustion decreased among workers already accustomed to using SMC at work before the crisis. The results indicate a disparity in workers' resilience during remote work and highlight a need for organizational level support.

COVID-19 Anxiety-A Longitudinal Survey Study of Psychological and Situational Risks among Finnish Workers.

Background: The COVID-19 crisis has changed the conditions of many all over the globe. One negative consequence of the ongoing pandemic is anxiety brought about by uncertainty and the COVID-19 disease. Increased anxiety is a potential risk factor for wellbeing at work. This study investigated psychological, situational, and socio-demographic predictors of COVID-19 anxiety using longitudinal data. Methods: A nationally representative sample of Finnish workers (N = 1308) was collected before and during the COVID-19 crisis. Eighty percent of the participants responded to the follow-up study (N = 1044). COVID-19 anxiety was measured with a modified Spielberger State-Trait Anxiety Inventory. Psychological and situational predictors included perceived loneliness, psychological distress, technostress, personality, social support received from the work community, and remote working. A number of socio-demographic factors were also investigated. Results: Perceived loneliness, psychological distress, technostress, and neuroticism were identified as robust psychological predictors of COVID-19 anxiety. Increase in psychological distress and technostress during the COVID-19 crisis predicted higher COVID-19 anxiety. A recent change in their field of work and decreased social support from work communities predicted COVID-19 anxiety. Women and young people experienced higher anxiety. Conclusions: Different factors explain workers' COVID-19 anxiety. Increased anxiety can disrupt wellbeing at work, emphasizing the organizations' role in maintaining an inclusive and caring work culture and providing technical and psychological support to workers during crisis.

Psychological Stressors Predicting Increased Drinking During the COVID-19 Crisis: A Longitudinal National Survey Study of Workers in Finland.

AIMS: The global crisis caused by the outbreak of a novel coronavirus rapidly increased working remotely in many countries. The aim of this study was to analyze psychological stressors predicting increased drinking during the COVID-19 crisis. Also, individual and socio-demographic differences were analyzed. METHODS: A nationally representative sample of Finnish workers (N = 1308) was collected before the crisis in September-October 2019 and 82.02% of them responded to a follow-up survey conducted in March-April 2020. Increased drinking was the outcome variable and it was measured with the AUDIT-C before and during the COVID-19 crisis. Predictors measured before the crisis included cyberbullying victimization at work, psychological distress, burnout and work climate. Additional measures included personality factors, socio-demographic factors and occupational information. RESULTS: One-fourth of Finnish workers (25.37%) reported increased drinking during the COVID-19 crisis. Cyberbullying victimization at work and psychological distress before the crisis predicted increased drinking during the crisis. Conscientious workers and those working in educational and health and welfare sectors were less likely to increase drinking, while increased drinking was most common among workers under 30 years of age. CONCLUSIONS: Psychological stressors are risk factors for increased drinking in unusual times such as the COVID-19 crisis. Cyberbullying victimization at work and psychological distress were found as major risk factors. The results suggest that preventive work should be done at workplaces. This is particularly important if alcohol consumption is used as a means of coping during a stressful time.

Regulation and Trust: 3-Month Follow-up Study on COVID-19 Mortality in 25 European Countries.

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.