Daniel Szawarnoga1
Artur Stasiniewicz
Joanna Fojcik
Marek Krzystanek- 1Department of Psychiatry, Department of Neurology, Faculty of Health Sciences in Katowice, Medical University of Silesia in Katowice, Poland
- 2Department of Neurology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland
- 3Department and Clinic of Psychiatric Rehabilitation in Katowice, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, Poland
Purpose: The aim of this study was to determine the impact of social media use on users’ subjective feelings of loneliness and the occurrence of anxiety symptoms, taking into account demographic variables such as age and education level.
Material and methods: A total of 220 patients of the Mental Health Outpatient Clinic participated in the study and completed a self-administered survey questionnaire including demographic data, social media use patterns and assessment of experienced psychological symptoms.
Results: Statistical analyses showed that younger users spend more time online, which correlates with higher feelings of loneliness and severity of anxiety symptoms, while higher levels of education are associated with less time online and better awareness of the dangers of excessive social media use.
Conclusions: Social media leads to an increased sense of isolation. Excessive use of these platforms is associated with decreased sleep quality, decreased self-esteem, increased levels of stress and anxiety and an overall deterioration in users’ mental health. The experience of digital loneliness varies according to the characteristics of users - young people, women and people with limitations are the most vulnerable to the negative effects of excessive social media use.
Introduction
With over 25 years of social media existence, one might be tempted to say that the field of social media and its impact on various elements of human life is very well researched. However, this statement would be untrue, as social media is constantly evolving, constantly changing. Therefore, their impact on human life is variable over time. The social media environment is evolving so rapidly that some of the scientific research that was conducted a few or several years ago should be considered outdated.
Using social media (and especially social networking sites) is nowadays possible practically anywhere and anytime. All that is needed to connect to the internet is: a smartphone, mobile phone network coverage and a purchased mobile internet package or Wi-Fi access. The indicated requirements are so low that most young people (in developed and developing countries) have constant access to the Internet via their mobile devices. This, in turn, means that young people are usually ‘plugged in’ to the internet all day long, and respond immediately to any new message coming from social media.
Originally designed as a tool to facilitate communication, social media have become an integral part of modern life. Their impact on psychological well-being, especially in the context of young people and the elderly, is of increasing interest to researchers (1, 2). In the literature we find both positive and negative aspects of online functioning. Excessive use of social media is associated with, among other things, lowered self-esteem (3) and a phenomenon referred to as ‘Facebook introversion’ (4), while reduced time spent online correlates with better emotional functioning (5, 6). Contemporary research points to the complexity of the relationship between technology and mental health, particularly in the context of excessive social media activity.
This thesis focuses on the analysis of digital loneliness as a phenomenon with potential clinical and social relevance, in the context of rapidly evolving technologies. Among other things, the long-term effects of intensive social media use on mental health, self-esteem and the quality of interpersonal relationships were examined. A review of numerous empirical and psychosocial studies provided a critical look at existing scientific evidence and the identification of research gaps.
Materials and methods
The main aim of the study was to determine how intensive social media use affects users’ mental health (particularly feelings of loneliness and anxiety symptoms), taking into account demographic variables such as age and education level, as well as digital loneliness as an important element of this process. The research question of the potential of digital loneliness as a new diagnostic category is also addressed, in light of the increasing number of people reporting problems of social isolation caused by technology.
A total of 220 patients of the Mental Health Outpatient Clinic in Bytom took part in the study. The group was diverse in terms of age, education and level of social media activity. Adults aged 35–54 years were the largest group (58%), while those under 24 years of age accounted for about 9%. The majority of participants had a secondary or tertiary education. They were patients reporting emotional difficulties, in whom anxiety symptoms, feelings of loneliness and social media use patterns, among others, were assessed.
The detailed age structure of the respondents was as follows:
● Under 18 years: 3,6%
● 18–24 years: 5,5%
● 25–34 years: 18%
● 35–44 years: 28%
● 45–54 years: 30%
● 55 years and over: 15%
A proprietary survey questionnaire was used for the study, which consisted of three main parts:
1. Demographics: age, gender, education level.
2. Social media usage patterns: frequency of use, average daily hours and preferred platforms (with a focus on Facebook).
3. Assessment of psychological symptoms experienced: subjective assessment of feelings of loneliness and the presence of anxiety and depressed mood symptoms.
Statistical analyses were performed using IBM SPSS Statistics (version 26.0). The chi-square test and effect measures such as Cramér’s Phi and V coefficients, as well as Kendall’s Tau-b and Tau-c coefficients for the assessment of rank correlations were used in the dependency analysis.
The choice of statistical methods, such as Kendall’s Tau-b and Tau-c coefficients, was dictated by the nature of the data - ordinal and rank variables. A similar approach has been used in studies on the relationship between social media use and mental state (7, 8) which confirms the appropriateness of the analyses used.
Results
The analysis showed that age significantly influenced the frequency of social media use - older respondents used social media less frequently than younger respondents (τc = -0.339, p < 0.001). In addition, a significant negative correlation was observed between education level and time spent online - those with higher education spent less time online.
Respondents who spent more hours online reported higher levels of perceived loneliness (τb = 0.277, p < 0.01).
Additionally, younger users were more likely to experience anxiety symptoms, as confirmed by statistical analyses (τc = -0.116, p < 0.05) [8]. These findings are in line with previous research on the impact of excessive social media use on mental status, particularly among adolescents.
The analysis revealed that higher levels of education are associated with greater awareness of the risks of heavy social media use (τc = 0.110, p < 0.05). The literature highlights that such awareness is an important element in the prevention of digital addictions. The results are presented in the Tables 1–4.
Table 1. Patterns of social media use and demographic variables.
Table 2. Relationship between media use and perceived loneliness and anxiety symptoms. .
Table 3. Experience of anxiety and distress symptoms in correlation with age of respondents.
Table 4. Awareness of the problem of digital loneliness.
Discussion
The results of the present study confirm that heavy social media use is associated with a number of negative psychological consequences, including feelings of loneliness and increased anxiety symptoms. Younger users, who spend more time online, are particularly vulnerable to such problems, as reflected in the literature (1, 6, 7). Higher levels of education, on the other hand, seem to act as a protective factor against the negative effects of excessive online activity - increasing awareness of risks and fostering healthier digital habits (8).
A review of the literature and research on this topic has shown that there is a link between excessive use of social networking sites and dysfunctional Internet use (9). As noted by J. Kim, R. LaRose and W. Peng, the negative impact especially in this regard may affect single people. According to the researchers, these individuals not only find it difficult to maintain healthy social interactions in their real lives, but also to regulate their Internet use. Increasing problems lead these people to rely more on their favorite online activity. This is their way of reducing problems or escaping from them. Such activity can further isolate such individuals and increase their loneliness (10).
The research presented here is in line with the results obtained by D. Sieberg. On the basis of these, the author concluded that uncontrolled and indiscriminate use of social networks can hinder the reconstruction of relationships with people met in the real world (11).
The present results also correlate with the observations in the work of Abi-Jaoude et al. where it was also shown that younger users who use social media heavily show a higher risk of anxiety and depressive symptoms (12).
Worth citing are the results of a 2017 UK study conducted by the Royal Society for Public Health (RSPH) among just under 1,500 14–24 year olds. The study focused on the most popular social media, which at the time included: Facebook, YouTube, Instagram, Twitter and the instant messaging service, Snapchat. Respondents were asked to rate how each of the aforementioned platforms influenced fourteen issues related to health and wellbeing. The evaluation consisted of describing their feelings after spending a certain amount of time on a particular service/app. The research tool was a survey questionnaire. Based on the results, the researchers created a ranking of the social media studied in terms of their impact on users’ health and wellbeing. They also found that the only social media that could have a positive impact on users’ health and wellbeing was YouTube. The other social media were classified as having a negative impact on users’ health and wellbeing.
In opposition to the research indicating the negative influence of social media are the opinions propounded by M. Pittman and B. Reich. The researchers believe that image-based social media platforms - of which Instagram is one - can positively influence users by increasing their life satisfaction and decreasing their feelings of loneliness (13).
Undoubtedly, a consequence of social media use is the limited amount of time available to people for offline activities. This time may be limited to the extent that an individual may start to neglect other areas of life, e.g. meeting loved ones, physical activity. The results of a study by K.E. Riehm et al. suggest that adolescents who spend more than three hours a day on social media may be at increased risk of mental health problems, especially internalization problems (14).
It should be noted that excessive social media activity is also associated with sleep problems, reduced quality of life and the emergence of depressive symptoms, as shown in other studies (15, 16). In the context of global challenges - such as the COVID-19 pandemic - the problem of social isolation and stress resulting from reduced face-to-face contact takes on particular significance (17). It has also been suggested that heavy use of social media may promote depressive states among young adults (7). Our observations are in line with these observations: surveyed younger users were more likely to report anxiety symptoms and feelings of loneliness, indicating the need for further monitoring of this at-risk group.
In addition to the intensified experience of loneliness, the use of online platforms, which are increasingly a substitute for real-life interpersonal relationships, can also carry other risks for the psychological sphere.
Evidence of a relationship between social media use and feelings of body image dissatisfaction has been presented (18). Some of the recently published reports explicitly indicate that body image deteriorates as the amount of time spent browsing social media increases (19–22). However, the existence of a high risk of bias in the aforementioned studies should be highlighted. In contrast to the presented results, there is a study by Yurtdas - Depboylu et al. in which no significant difference in self-perception was noted in the context of time spent on social media platforms (23).
In contrast, when considering the issue of perceived self-confidence, inconclusive results have been obtained to date. It is noteworthy, however, that in one study, a significant association was found between lowered self-confidence and the duration of users’ exposure to social media - 3801 members were included in this study, conducted over a period of five years (18).
A significant positive correlation of anxiety disorders with social media use has also been confirmed, as was particularly evident during the COVID-19 pandemic. These disorders arose primarily from comparing self-image with photos depicting the lifestyles of other users (24).
The impact of the aforementioned platforms on the risk of eating disorders is not insignificant, with compulsive overeating syndrome coming to the fore. This thesis seems to be supported by the findings of the work by Livet et al. and Muzi et al. These apply both during and beyond the COVID-19 pandemic (24).
Despite the fact that the vast majority of sources report experiencing long-term loneliness as a major overarching risk factor for mental disorders among children and adults, associations of loneliness with social media use have repeatedly not been demonstrated. Nor have associations been proven with the gender of study participants, their age or previous history of mental illness (25).
In relation to the observations made, it is worth citing the work by Sun et al. They set out to assess the association of social platforms with the intensity of social anxiety, feelings of loneliness and psychological well-being among university students (26). As it turns out, users who use them longer during the day are significantly more likely to have higher symptoms of social anxiety, as shown in a group of students from China (27, 28). Slightly more heterogeneous results are obtained from the point of view of assessing psychological well-being, as roughly equal frequency of use can carry negative as well as beneficial effects. In the near future, it seems necessary to carry out further large-scale analyses to refine the results obtained.
Looking at what has been published to date, it can be concluded that, although the availability of work that considers the elderly group (i.e. those aged 65 and older) is indeed scarce, there are sources that indicate that, in this group, the use of social media can result in a reduction in feelings of social isolation and loneliness, thereby contributing to improved psychological well-being. A meta-analysis by Kusumota et al. considered the results of 11 studies conducted (29). It demonstrated that perceptions of loneliness and isolation can be effectively reduced through the use of digital social media. In addition, the internet can foster greater contact between older people and family members. It can also serve as a source of support, provide a greater sense of community and reduce loneliness (29). However, it seems indispensable to plan further research, taking into account the age groups of older people, in order to verify the current conclusions.
The study conducted is consistent with the reports of many previous works and, at the same time, adds to existing knowledge with new information derived from the clinical group studied. In particular, it seems important to confirm that the phenomenon of digital loneliness may play a significant role as a mediator between excessive social media use and mental health. In other words, the feeling of isolation resulting from online activity may be one of the mechanisms leading to deterioration of mental wellbeing including sleep problems, eating disorders and reduced self-esteem. This fact, combined with the observed differences by age and education, suggests the need to adapt prevention strategies to the specificities of different user groups. Preventive measures are indicated: digital education, parental control, age restrictions and promotion of self-regulation of time spent online. Although their effectiveness has not been studied, they represent an important direction for further analysis.
The results may provide a starting point for the development of prevention programmes in child and adolescent psychiatry, as well as a basis for the development of new diagnostic tools measuring levels of digital loneliness. The study also highlights the need to include online activity in the routine assessment of patients reporting symptoms of mood and anxiety disorders.
Conclusions
Social media leads to an increased sense of isolation. Excessive use of these platforms is associated with decreased quality of sleep, decreased self-esteem, increased levels of stress and anxiety and an overall deterioration in users’ mental health. The experience of digital loneliness varies according to the characteristics of users - young people, women and people with limitations are the most vulnerable to the negative effects of excessive social media use.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author/s.
Ethics statement
Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants in accordance with the national legislation and the institutional requirements.
Author contributions
DS: Writing – review & editing, Writing – original draft. AS: Project administration, Investigation, Writing – review & editing. JF: Funding acquisition, Visualization, Conceptualization, Data curation, Writing – review & editing. MK: Writing – review & editing, Data curation, Supervision, Validation.
Funding
The author(s) declare that no financial support was received for the research and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: digital loneliness, social media, loneliness, anxiety symptoms, digital hygiene, mental health, education
Citation: Szawarnoga D, Stasiniewicz A, Fojcik J and Krzystanek M (2025) Digital loneliness as a new diagnostic category in psychiatry: the impact of technology and social media use on psychological well-being. Front. Psychiatry 16:1630275. doi: 10.3389/fpsyt.2025.1630275
Received: 17 May 2025; Accepted: 11 August 2025;
Published: 28 August 2025.
Edited by:
Xuemei Gao, Southwest Jiaotong University, ChinaReviewed by:
Denise De Micheli, Universidade Federal de São Paulo, BrazilLuke Balcombe, Griffith University, Australia
Copyright © 2025 Szawarnoga, Stasiniewicz, Fojcik and Krzystanek. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Joanna Fojcik, dGZrbGFraWVyQHdwLnBs