Skip to main content
The Egyptian Journal of Neurology, Psychiatry and Neurosurgery
Download PDF

Depression and anxiety and its association with problematic social media use in the MENA region: a systematic review

The Egyptian Journal of Neurology, Psychiatry and Neurosurgery volume 60, Article number: 15 (2024) Cite this article

Abstract

Background

The use of the social media has increased significantly in recent decades, and research on the impact of problematic social media use on mental health is a relatively new and growing area of study in the Middle East and North Africa (MENA) region. Social media users are prone to developing addictive behaviors and suffering from mental illness, including depression and anxiety. The present paper aims to systematically review the available research examining the association between problematic social media use (PSMU) and depression and anxiety symptoms that was done in the Middle East and North Africa region (MENA region).

Methods

The academic databases Web of Science, PubMed, ScienceDirect, and Cochrane were used to conduct a literature search. Problematic social media use and the MENA region and their synonyms were main keywords in the Boolean search strategy. We selected articles based on the following criteria: (i) addressed the relationship between problematic social media use and depression and anxiety; (ii) MENA region population-based studies; and (iii) published in English. There were no age, gender, or educational status restrictions, and there was no time limit for this review. The literature search was conducted in December 2021.

Results

The selection criteria led to the retention of 15 articles. The findings of the systematic review demonstrated that most of these studies have found a significant association between problematic social media use and depression and anxiety symptoms. Some studies showed stress, generalized trust, perceived social support, fear of COVID-19, and misunderstanding of COVID-19 mediating the relationship between social media use and depressive and anxiety symptoms.

Conclusions

While there is evidence that there is a relationship between PSMU and anxiety and depressive symptoms, longitudinal studies are needed to confirm this relationship.

Introduction

The use of the internet has increased significantly in recent decades. According to the International Telecommunication Union, there are over 5 billion internet users worldwide [1]. Social networking sites (SNS) are the most popular online platforms among young people [2]. Their widespread availability, whether via smartphone, tablet, or computer, has captivated billions of users worldwide, with many using SNS for large portions of their daily lives [3].

Research investigating the nexus between SNS use and health is a relatively new area of study, and there is currently no consensus among researchers on the definition of problematic SNS use [4]. This phenomenon has been conceptually defined as a non-substance-related disorder, sharing characteristics associated with behavioral addiction [5]. According to Andreassen and Pallesen [6], SNS addiction is defined as an excessive concern regarding social networking sites, driven by a strong motivation to log in or use these platforms excessively. This behavior involves dedicating an extensive amount of time and effort to social networking sites, resulting in impairment of other social activities, educational and/or occupational pursuits, interpersonal relationships, as well as psychological health and well-being. Notably, several psychometric scales have been developed to assess the determinants of social media use and obtain the prevalence rate, such as the Bergen Social Media Addiction Scale (BSMAS) [7], and the Arabic Social Media Addiction Scale (ASMAS) [8]. SNS use has complex links to mental health. SNS is tied to benefits such as reduced loneliness, enhanced social connectivity [9], seamless communication [10], increased life satisfaction [9], and decreased depressive symptoms [4]. However, its impact on academic performance varies, showing positive outcomes in educational use [11] but negative implications in recreational use, potentially leading to academic failures [12]. Despite the positives, adverse effects like relational issues and mental disorders have been reported [13]. Divergent findings on addictive behaviors and mental health problems underline the intricacy of this relationship [14].

Depression is a common mental disorder marked by sadness, low self-esteem, and a loss of pleasure or interest in performing activities [15]. Currently, research on the potential impact of PSMU on depression is expanding, with conflicting findings [16]; some studies have discovered an inverse relationship. Social media, for example, can provide social support and improve life satisfaction, resulting in fewer depressive symptoms [4, 14]. Many studies, conversely, have found that PSMU is associated with depressive symptoms in university students [4] and adolescents [17]. Similar to depression, the influence of social media on anxiety is also a subject of debate. PSMU is significantly associated with anxiety among adolescents [17], and using multiple platforms correlates with higher anxiety levels [18]. Excessive time on social media, especially among youth, is linked to more severe anxiety symptoms [19]. University students' anxiety levels are positively associated with time spent on social media [20]. Additionally, Facebook addiction is associated with anxiety in high school [21] and university students [22].

The ongoing debate in the literature explores the dual nature of Social Networking Sites (SNS) and their potential impact on mental health. Despite extensive research efforts, significant gaps persist. Nuances such as individual differences, platform-specific usage patterns, and the dynamic nature of social media platforms remain underexplored. Methodological heterogeneity poses a challenge, ranging from disparate study designs to variations in measurement tools. Furthermore, regional differences underscore the need for a nuanced perspective, with cultural and demographic variations influencing outcomes. Recognizing these limitations, our study strategically centers its focus on the Middle East and North Africa (MENA) region. While the global discourse on this subject is rich and diverse, the decision to scrutinize the MENA region stems from its unique socio-cultural landscape. This region is characterized by distinct cultural norms, geopolitical dynamics, and demographic compositions, which can significantly influence the interplay between social media use and mental health outcomes.

To the best of our knowledge, previous systematic reviews have focused on SNS use and mental health symptoms in various countries without taking the MENA region into account. Hence, we aim throughout this paper to conduct a systematic review of the available research on PSMU and depression and anxiety symptoms in the Middle East and North Africa (MENA) region. The specific objectives of this review are to: (i) identify and evaluate studies performed on the correlation between PSMU and depressive and anxiety symptoms; (ii) determine the geographical distribution of these studies and delve into the characteristics of the study participants; (iii) explore what measurement tools have been used to assess problematic social media use and depressive and anxiety symptoms; (iv) explore the prevalence and risk factors of social media use; and (v) search for the mediators of this relationship.

Research questions

The research aims to answer these questions: (1) what is the prevalence of problematic social media use (PSMU) in the MENA region? (2) How are PSMU and mental health outcomes (specifically anxiety and depression) correlated in the context of the MENA region? (3) What factors mediate the relationship between PSMU and depressive and anxiety symptoms in this region? (4) How effective are the methodologies employed in existing studies investigating PSMU and depressive and anxiety symptoms in the MENA region? (5) What gaps exist in the current literature regarding PSMU and mental health in the MENA region?

Methods

Search strategy

The search for the literature followed a systematic and structured approach adopting the PRISMA guidelines for systematic reviews and meta-analysis [23]. The literature search was conducted in December 2021 in four databases Web of Science, PubMed, ScienceDirect, and Cochrane. The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO) under the registration number: CRD42022266119.

The Boolean search method was used, with keywords linked together using AND, OR, and NOT. The following keywords are associated with problematic social media use and the MENA region. The search equation used was as follows: ("social media addiction" OR "social media dependence" OR "problematic social media use" OR "social media disorder" OR "pathological social networks sites use" OR "social network sites addiction" OR "social network sites dependence" OR "problematic social network sites use" OR "facebook addiction" OR "facebook dependence" OR "excessive facebook use" OR "problematic facebook use" OR "compulsive facebook use") AND (Algeria OR algerian OR "Saudi Arabia" OR saudi OR Palestine OR palestinian OR Bahrain OR bahraini OR Djibouti OR djiboutian OR Ethiopia OR ethiopian OR "United Arab Emirates" OR emarati OR Egypt OR egyptian OR Qatar OR qatari OR Iraq OR iraqi OR Israel OR israeli OR iran OR iranian OR persian OR Jordan OR jordanian OR Kuwait OR kuwaiti OR Lebanon OR lebanese OR Libya OR libyan OR Morocco OR moroccan OR Mauritania OR mauritanian OR Oman OR omani OR Syria OR syrian OR Sudan OR sudanese OR Tunisia OR tunisian OR Yemen OR yemenite OR MENA OR "middle east" OR "north africa" OR "arab world").

After completing the electronic database search, we assessed the titles and abstracts of the identified articles to determine their suitability for inclusion in the review.

Inclusion and exclusion criteria

We only included studies that addressed the relationship between problematic social media use and mental health, specifically depression and anxiety. We also selected articles based on the following criteria: (1) quantitative observational studies (cross-sectional, case–control, and cohort studies); (2) studies conducted solely within the MENA region were included, while those conducted outside this region, even if involving MENA populations, were excluded; and (3) English-language publication of a full-text article. On the other hand, qualitative and experimental studies were excluded. There were no age, gender, or educational status restrictions, and there was no time limit for this review.

Data extraction

Data extraction for eligible studies was conducted and verified independently by two authors (SA and SB) using a standard form on Microsoft Excel. Relevant details were extracted from each study, included study design, publication date, study authors, country of the study, sample size, measurement tools used, and demographic data of the study population, the scores and duration of social media use, as well as anxiety and depression scores. Discrepancies in the extracted data were resolved through discussion with another independent author (BZ).

Quality assessment

The quality of included studies was determined using the National Institute of Health Quality Assessment Tool for Observational Cohort and Cross-sectional Studies [24]. This assessment covered participants' selection, data collection, confounding variables, and exposure and outcome variables. Two authors independently rated study quality and differences in ratings were resolved via discussion between the two authors and a third author where necessary. The quality of each study was rated as 0 for poor (0–4 out of 14 questions), i for fair (5–10 out of 14 questions), or ii for good (11–14 out of 14 questions), after answering a series of 14 questions. No studies were excluded based on their quality assessments.

Data analysis and publication bias

The size of the correlation effect was determined by correlation coefficient r. The statistical heterogeneity was examined using the I-squared test (I2) and the Cochrane Q test [25], with Q reported as a measure of heterogeneity (with p value < 0.05 indicating a high level of heterogeneity) and I2 used to measure the proportion of total variability due to between-study heterogeneity [26]. Based on the Cochrane guidelines, I2 values represented moderate (30–60%), substantial (50–90%), and considerable (75–100%) heterogeneity [27]. The publication bias was assessed by visual examination inspection of the funnel plot and by conducting Egger’s and Begg’s tests [28]. Publication bias was declared if the funnel plot was asymmetrical or if the result of Egger’s and Begg’s tests was statistically significant (p < 0.05) [28, 29]. All statistical analyses were performed using Comprehensive Meta-Analysis Software version 4 (CMA 4.0).

Results

The search strategy identified 1710 published (Fig. 1). After removing the duplicates, 957 papers remained. These papers were then screened based on the titles and abstracts to determine whether they met the inclusion criteria, resulting in 46 relevant studies. At this stage, the full texts of these studies were screened to confirm whether the inclusion and exclusion criteria were met, resulting in 31 studies being excluded. The remaining 15 studies were included.

Fig. 1
figure 1

PRISMA flow diagram illustrating the screening process of papers

Full size image

Quality assessment

Table 1 shows the results of the 14-item checklist criteria used to evaluate the selected research. The objectives, variables, and measures were all clearly described in each study. After calculating the quality assessment ratings, most studies were of fair quality.

Table 1 Quality assessment of selected studies
Full size table

Sample characteristics

A total of 15 studies met the inclusion criteria, belonged to several different countries across the MENA region: five studies were conducted in Iran, four were conducted in Lebanon, Tunisia (n = 2), Morocco (n = 1), Jordan (n = 1), Palestinian territory (n = 1) and the United Arab Emirate (n = 1). The studies were published between 2016 and 2021.

The number of participants in each study ranged from 105 to 2676. Their average age ranged from 15.23 to 36.57 years. Most studies were conducted on adults, whereas four studies concentrated solely on adolescents (aged 12–19 years). The majority of studies had gender-mixed samples; however, one study focused solely on women (Table 2).

Table 2 Characteristics of selected studies
Full size table

PSMU measurement tools

PSMU was measured variously across studies. Most studies (n = 12/15) assessed problematic social media use in its entirety, with three studies focusing specifically on problematic Facebook use. All studies used self-report scales to determine the level of social media addiction. The Bergen Facebook Addiction Scale (BFAS) was the most commonly used measure to assess problematic Facebook use. A modified version of the Bergen Facebook Addiction Scale (Bergen Social Media Addiction Scale—BSMAS) was often used to assess problematic social media use by replacing the word Facebook with social media (Table 3).

Table 3 Description of measurement tools used to assess PSMU
Full size table

Prevalence and risk factors of social media usage

Only three studies [7, 35, 36] reported the prevalence of social media addiction, with an estimated prevalence varied between 22.4 and 23.7 percent. Therefore, the impact of socio-demographic factors on the prevalence of PSMU is unclear. Two studies provided gender differences data on SNS [7, 43], and the highest prevalence of social media addiction was found among males in Chung-Ying Lin et al. [7]. The results of Nadine Zeeni et al. [43] on the association between gender and PSMU were not significant nor mentioned in other studies included in the current systematic review. Regarding marital status, one study [35] found that single people had a higher PSMU score than married people (8.94 vs. 6.26, p < 0.001). The number of children (B = 2.41) was significantly related to higher PSMU in the same study, whereas older age and higher alcohol dependence were significantly related to lower PSMU [35]. Three studies indicated an association between social media addiction and time spent on social media or frequency of visits to social media (0.286 < r < 0.583) [7, 35, 37].

Problematic social media use and depressive symptoms

Most studies (n = 13/15) focused on symptoms of depression as measured by a variety of psychometric scales, including the Hospital Anxiety and Depression Scale (HADS), the Hamilton Depression Rating Scale (HDRS), and the Depression Anxiety Stress Scale (DASS).

Significant associations between problematic social media use and depressive symptoms (0.129 < r < 0.45) were observed in eleven of these studies [7, 30,31,32, 35,36,37,38,39, 41, 42]. The two remaining studies found negative associations between problematic social media use and depressive symptoms [34, 43].

Problematic social media use and anxiety symptoms

Most studies (n = 13/15) focused on anxiety symptoms which were examined by a variety of measures, such as the Hospital Anxiety and Depression Scale (HADS), the Hamilton Depression Rating Scale (HDRS), the Hamilton Anxiety Scale (HAM-A), the Depression Anxiety Stress Scale (DASS), and the Beck Anxiety Inventory. Significant associations between problematic social media use and anxiety symptoms (0.167 < r < 0.385) were observed in ten of these studies [7, 30,31,32, 34,35,36, 39,40,41]. The three remaining studies reported negative associations between problematic social media use and anxiety symptoms [33, 38, 43].

Mediating factors in the relationship between PSMU and depression and anxiety

Unpacking the intricate web of mediating factors within the relationship between problematic social media use (PSMU) and mental health outcomes reveals a nuanced landscape. Stress emerges as a central player in this dynamic in the study by Malaeb et al. (2020). The incessant exposure to stressors, whether originating from the online realm or external pressures, propels individuals towards social media as a coping mechanism. However, this refuge can morph into a source of additional stress, as the digital sphere becomes a breeding ground for social comparison and information overload, ultimately amplifying anxiety and depressive symptoms. Beyond stress, Lin et al. (2021) found an indirect effect between problematic social media use and depressive and anxiety symptoms, through generalized trust and perceived social support. Excessive use of social media can erode the overall trust in online interactions and impact how individuals perceive the support they receive from their online connections. This complex interplay creates a pathway through which problematic social media use contributes to mental health challenges. Moreover, fear of COVID-19 and COVID-19 misunderstanding emerges as a significant mediating this relationship [31]. In times of uncertainty, individuals turn to social media platforms for information and connection. However, the implications are dual-fold, with the quality and quantity of pandemic-related information on social media influencing anxiety and depression levels. Moreover, the role of COVID-19 misunderstanding as a mediating factor introduces a unique dimension to the discourse. Misinterpretation of information gleaned from social media may contribute to distorted perceptions, adding an additional layer of anxiety and depression.

Heterogeneity measures

A random-effects analysis of 15 studies (n = 12,252) showed a moderately statistically significant positive correlation between PSMU and depression and anxiety symptoms (r = 0.212; 95% confidence interval: [0.146, 0.276]; p < 0.001). High heterogeneity existed in our results (I2 = 95.751%, p < 0.001; Q = 494.206, df = 21, p < 0.001) (Fig. 2).

Fig. 2
figure 2

Forest plot of correlation for association between PSMU and depression and anxiety symptoms

Full size image

Contributing factors to heterogeneity

The substantial heterogeneity observed in our analysis (I2 = 95.751%, p < 0.001) necessitates a thorough exploration of potential contributing factors. Methodological dissimilarities among the studies are evident, including variations in inclusion criteria. This methodological heterogeneity could potentially account for the observed diversity in study designs. Additionally, the populations under investigation exhibit notable heterogeneity in demographic characteristics. The nuanced interplay of these diverse factors across studies may well be a major source of the observed heterogeneity. Furthermore, the utilization of a spectrum of instruments for the assessment of social media addiction and mental health outcomes may contribute to the observed variability.

Publication bias

The publication bias was assessed using funnel plot visualization and more objectively by Egger’s and Begg’s tests. The funnel plot showed a symmetrical distribution that indicated no evidence of publication bias (Fig. 3). This was supported by the results of Egger’s and Begg’s tests, which indicated no evidence of publication bias, (Egger, p = 0.81; Begg, p = 0.55).

Fig. 3
figure 3

Funnel plot of correlation for association between PSMU and depression and anxiety

Full size image

Discussion

Prevalence of PSMU

In examining the prevalence of problematic social media use (PSMU) within the Middle East and North Africa (MENA) region, our systematic review encountered a notable scarcity of reported prevalence data. Out of the 15 studies included, only three provided explicit figures on PSMU prevalence. These findings revealed a prevalence range between 22.4 and 23.7% [7, 35, 36] within the MENA region. Comparing these figures to a broader global context, our review aligns with meta-analytic insights derived from 495 articles across 64 countries [47]. In this larger context, the estimated prevalence of PSMU in upper-middle income regions mirrored our findings, standing at 21.26%. Intriguingly, the meta-analysis exposed substantial variations in PSMU prevalence across different global regions. For instance, South-East Asia exhibited a notably higher prevalence at 59.36%, while lower-middle income regions reported a prevalence of 63.83%. In contrast, high-income regions showed a relatively lower prevalence of 16.12%, and the Americas demonstrated the lowest prevalence at 11.66% [47].

PSMU and mental health

Emerging research on the correlation between problematic social media use (PSMU) and mental health issues, particularly within MENA countries, has spurred the present systematic review. In our investigation, we delved into 15 studies meeting the predefined inclusion criteria, aiming to unravel the associations between social media use and symptoms of depression and anxiety. Of the 15 studies, there was a positive association between PSMU and anxiety (in 10 studies), and depression (in 11 studies), as evidenced by various global studies [4, 18,19,20,21,22, 48, 49]. Notably, the observed relationship generally exhibited small-to-medium bivariate effect sizes, ranging from 0.129 to 0.45 in depression studies and ranging from 0.167 to 0.385 in anxiety studies. However, it is crucial to approach these findings with caution, considering the small-to-medium effect sizes and the overall fair to poor quality of the included studies. A more nuanced analysis of effect sizes across various study contexts unveils intriguing insights. Specifically, studies conducted in high-stress environments, such as academic settings, consistently demonstrated higher effect sizes [39, 41, 42]. This suggests a potential amplification of the association between PSMU and depressive and anxiety symptoms under stress-inducing conditions. This observation aligns with the findings of Malaeb et al.'s (2020) study, which emphasizes stress as a mediator in the relationship between PSMU and depressive and anxiety symptoms.

The association between PSMU and depression may be explicable by the neglect of essential life aspects among individuals engrossed in excessive social media use. The significant increase in time spent on Social Networking Sites (SNS) may lead to reduced face-to-face social interactions, disrupted sleep patterns, and diminished physical activity [50], all contributing to the manifestation of depressive symptoms. Despite enabling easy interaction with a broader audience, online relations through SNS are considered of lesser quality than everyday face-to-face communication and are associated with a higher level of loneliness [51]. Additionally, increased PSMU may influence how individuals perceive their online experiences, engaging in self-comparison with the idealized images of others, resulting in a negative self-image and depression [52]. Several hypotheses have been proposed to explain the effect of SNS use on anxiety symptoms. Over-reliance on social networking sites, for instance, has been associated with decreased creativity [53] and underestimation of intellectual ability [54]. Excessive SNS use is also time-consuming since it deprives people of ordinary group experiences with their peers, turning them into lonely, isolated, and anxious individuals [55]. Furthermore, some research suggests that people who suffer from anxiety prefer online communication because they have difficulty communicating face-to-face [52].

In the MENA region, social media usage is intricately woven into the cultural fabric, where family bonds and cultural expectations play a pivotal role. The emphasis on family unity not only shapes individuals' online narratives, but also fosters a trend of presenting positive aspects to strengthen familial ties. Cultural norms, particularly those of modesty, further influence the digital landscape, creating an environment ripe for social comparisons and potential impacts on self-esteem. Moreover, the region's cultural nuances introduce unique considerations for online interactions, as users navigate the delicate balance between preserving cultural dignity and expressing their individuality. For the MENA diaspora, social media serves as a vital bridge for maintaining connections with family and cultural roots, accompanied by the challenge of harmonizing these online relationships with the imperative of local integration. This intricate interplay of family dynamics, cultural norms, and the dual nature of online connections adds layers of complexity to the relationship between social media use and mental health in the MENA region.

Another possible psychopathology in the relationship between PSMU and psychological distress, according to Elhai et al. [55] was fear of missing out (FOMO). Regularly checking social media, for example, can contribute to FOMO anxiety, which can exacerbate further compulsions to check SNS [56]. Another study revealed that being assigned to multiple social media platforms simultaneously and attempting to keep up with them all can cause anxiety [57], which aggravates the fear of missing out and eventually provokes more anxiety.

It is worth noting that the relationship between SNS use and mental health symptoms is not linear, which opens the door to a nuanced exploration of the myriad factors that contribute to this intricate dynamic [58]. It is crucial to recognize that individuals' experiences with social media are multifaceted, shaped by a complex interplay of psychological, social, and environmental factors. For instance, the nature and content of social media interactions play a pivotal role [59]. One person, for instance, can spend a significant amount of time each day watching entertaining videos, while another may opt for discussing politics with other users. Both individuals will be assessed in the same way because they spent the same time using the SNS. Admittedly, the way the SNS is administered can have various effects on an individual's life [48]. Positive and supportive engagements may contribute to enhanced well-being, while negative interactions or exposure to harmful content could have adverse effects [60]. The quantity and quality of online connections, the purpose and context of social media use, and individual differences in coping mechanisms all add layers of complexity to this relationship [16, 61]. Moreover, studies have highlighted the impact of social comparison mechanisms, where individuals may perceive idealized images on social media, leading to feelings of inadequacy or dissatisfaction [62]. The role of self-esteem, personality traits, and pre-existing mental health conditions also intertwines with social media use, influencing how individuals respond to online experiences [63, 64].

Limitations and needs for future research

Overall, the current systematic review highlights several shortfalls in the research on the relationship between SNS use, symptoms of depression, and anxiety. First, recognizing the limitation posed by the cross-sectional nature of the included studies, it is essential to highlight the challenge in establishing clear causal relationships. Cross-sectional designs, offering a snapshot at a specific moment, make it intricate to decipher the directional causality between problematic social media use (PSMU) and mental health outcomes. The associations identified may involve a bidirectional relationship, where mental health influences social media use, and conversely, social media use impacts mental health. For instance, individuals experiencing heightened stress or depressive symptoms may resort to increased social media use as a coping mechanism, while excessive PSMU might contribute to elevated stress levels and depressive symptoms. To delve deeper into this complex interplay and provide more conclusive insights, the necessity of longitudinal research becomes evident. Longitudinal studies, conducted over an extended period, offer a dynamic perspective by tracking changes in PSMU and mental health outcomes over time. This temporal dimension is crucial for unraveling the causal pathways and discerning the temporal sequence of events. For instance, such studies could shed light on whether increased PSMU precedes the onset of mental health issues or if deteriorating mental health leads to heightened social media engagement. This nuanced approach holds the promise of not only enhancing our understanding of the evolving relationship between PSMU and mental health, but also guiding the development of targeted interventions and preventive strategies. Second, while the majority of studies in the review approached problematic social media use (PSMU) from a broad perspective, with only three studies specifically delving into problematic Facebook use, it is imperative to recognize the rich tapestry of social media platforms and their potential distinct impacts on mental health. Each platform comes with its unique set of features, user interactions, and content dynamics, contributing to a diverse landscape of online experiences. For instance, Facebook, with its emphasis on social connections and diverse content sharing, may have distinct implications compared to visually centric platforms like Instagram or short-form content platforms like TikTok. The visual nature of Instagram, revolving around images and curated lifestyles, might foster a different set of social comparisons and identity perceptions. On the other hand, the rapid content consumption on platforms like TikTok may introduce novel challenges in attention and time management.

Exploring these platform-specific nuances is crucial for a comprehensive understanding of the relationship between PSMU and mental health. It allows us to unravel whether the observed associations are uniform across platforms or if certain platforms pose unique challenges or benefits. This insight is not only relevant for academic discourse, but also holds practical implications for tailored interventions and platform-specific guidelines to promote healthier social media use. As we navigate the evolving landscape of social media, such distinctions become pivotal in crafting nuanced strategies for mitigating the potential adverse effects on mental well-being. Finally, it is worth mentioning that only a few countries in the MENA region have investigated the relationship between PSMU and mental health in non-representative samples; henceforth, these findings cannot be generalized to the entire MENA region's population. Cultural nuances, for instance, play a pivotal role in shaping individuals' attitudes towards social media, the perception of mental health, and the expression of psychological distress. Socioeconomic factors, varying widely across the region, can influence access to technology, educational opportunities, and the prevalence of stressors that may intersect with social media use. Regional disparities, whether urban–rural divides or differences between countries, introduce additional layers of complexity.

Recognizing these nuances highlights the need for future research endeavors to adopt a more granular approach. Studies that incorporate representative samples from diverse cultural, socioeconomic, and regional contexts can unravel the intricacies of how PSMU intersects with mental health across different segments of the population. This not only enhances the external validity of the findings but also facilitates the development of targeted interventions that resonate with the unique dynamics of specific subpopulations within the MENA region. As we chart the course for future investigations, embracing this diversity becomes paramount for a more holistic understanding of the interplay between social media use and mental well-being in the MENA context.

Conclusion

This systematic review sheds light on the relationship between PSMU and mental health problems, specifically anxiety and depression. The estimated prevalence of PSMU falls within the range of 22.4 to 23.7%, aligning with global trends. Notably, the observed associations between PSMU and depressive symptoms exhibit effect sizes ranging from 0.129 to 0.45, while the relationship between PSMU and anxiety symptoms shows effect sizes ranging from 0.167 to 0.385. However, it is essential to acknowledge the limitation in establishing clear causality. The cross-sectional nature of the included studies limits our ability to definitively determine the direction of influence. Recognizing this limitation, it becomes imperative to advocate for future research endeavors, especially longitudinal studies, which can unravel the temporal dynamics of the relationship. Understanding whether excessive social media use precedes or follows mental health issues is pivotal for developing targeted interventions and preventive measures. As previously stated, there could be various factors influencing this relationship. How a person uses SNS must be considered to explain its relationship to mental health symptoms. Admittedly, SNS could be used to users' advantage to the greatest extent possible and can even become dangerous if not used consciously. Consequently, it is critical to use such tools wisely. SNS use, thus, necessitates concerted efforts and the implementation of necessary measures to ensure people's mental and physical safety. Individuals should proactively manage their time on social media, setting daily limits and periodically assessing their mental well-being in relation to usage. Diversifying offline activities is encouraged to counterbalance the potential negative impacts. For parents, fostering open communication with their children about social media usage is crucial, along with advocating for digital literacy education in schools. Policymakers are urged to support educational policies that embed digital skills and healthy social media use. Additionally, reinforcing psychological support services in educational institutions can address the growing mental health needs associated with social media use. Educators can contribute by organizing awareness workshops and integrating modules on mental health and responsible social media use into the educational programs. Additionally, interactive workshops for students, parents, and teachers could be developed, covering both the positive and negative impacts of social media. These workshops might involve open discussions, case studies, and simulations to enhance understanding. Concurrently, creating dedicated online resources, such as practical guides and informative videos based on recent research, would be essential. These resources could be easily accessible to educational communities, providing tangible guidance for healthy and mindful social media use.

In conclusion, this systematic review highlights the imperative of addressing the intricate relationship between problematic social media use (PSMU) and mental health challenges, specifically anxiety and depression, prevalent in the MENA region. As we move forward, it is essential to transcend mere acknowledgment of these associations and proactively engage in measures that foster digital literacy and responsible social media use, particularly among the youth. Furthermore, a compelling call to action would be an urging for the regional implementation of these programs, tailored to the specific cultural nuances of the MENA region. By doing so, we lay the groundwork for a digital culture that values mental health, resilience, and flourishing.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Abbreviations

ASMAS:

Arabic Social Media Addiction Scale

BFAS:

Bergen Facebook Addiction Scale

BSMAS:

Bergen Social Media Addiction Scale

CAPE:

Community Assessment of Psychic Experiences

DASS:

Depression Anxiety Stress Scale

FOMO:

Fear of Missing Out

FIS:

The Facebook Intensity Scale

HAM-A:

Hamilton Anxiety Scale

HDRS:

Hamilton Depression Rating Scale

HADS:

Hospital Anxiety and Depression Scale

MTUAS:

Media and Technology Usage and Attitudes Scale

MENA:

Middle East and North Africa

PHQ-9:

Patient health questionnaire-9

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

PSMU:

Problematic social media use

GAD-7:

Questionnaire About General Trouble Anxiety

SMUD:

Social Media Use Disorder Scale

SNS:

Social Networking Sites

SD:

Standard deviations

SCL-25:

Symptom checklist-25

References

  1. Internet World Stats. Internet World Stats: usage and population statistics. 2021.

  2. Perloff RM. Social media effects on young women’s body image concerns: theoretical perspectives and an agenda for research. Sex Roles. 2014;71(11):363–77.

    Article  Google Scholar 

  3. Rideout VJ, Foehr UG, Roberts DF. Generation M2: media in the lives of 8- to 18- year-olds. Henry J Kais Fam Found. 2010.

  4. Bányai F, Zsila Á, Király O, Maraz A, Elekes Z, Griffiths MD, et al. Problematic social media use: results from a large-scale nationally representative adolescent sample. PLoS ONE. 2017;12(1): e0169839.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Griffiths M. A “components” model of addiction within a biopsychosocial framework. J Subst Use. 2009;10:191–7.

    Article  Google Scholar 

  6. Andreassen CS, Pallesen S. Social network site addiction—an overview. Curr Pharm Des. 2014;20(25):4053–61.

    Article  CAS  PubMed  Google Scholar 

  7. Lin CY, Brostrom A, Nilsen P, Griffiths MD, Pakpour AH. Psychometric validation of the Persian Bergen Social Media Addiction Scale using classic test theory and Rasch models. J Behav Addict. 2017;6(4):620–9.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Al-Menayes J. Psychometric properties and validation of the Arabic social media addiction scale. J Addict. 2015;2015: 291743.

    PubMed  PubMed Central  Google Scholar 

  9. Valkenburg P, Peter J, Schouten A. Friend networking sites and their relationship to adolescents’ well-being and social self-esteem. Cyberpsychol Behav Impact Internet Multimed Virtual Real Behav Soc. 2006;9:584–90.

    Google Scholar 

  10. Sawyer R, Chen GM. the impact of new social media on intercultural adaptation. Intercult Commun Stud. 2012;21(2):151–69.

    Google Scholar 

  11. Alahmar A. The impact of social media on the academic performance of second year medical students at College of Medicine, University of Babylon, Iraq. J Med Allied Sci. 2016;6:77.

    Article  Google Scholar 

  12. Mensah SO, Nizam I. The impact of social media on students’ academic performance—a case of Malaysia tertiary institution. Int J Educ Learn Train IJELT. 2016;1(1):14–21.

    Google Scholar 

  13. Alhassan AA, Alqadhib EM, Taha NW, Alahmari RA, Salam M, Almutairi AF. The relationship between addiction to smartphone usage and depression among adults: a cross sectional study. BMC Psychiatry. 2018;18(1):148.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Salmela-Aro K, Upadyaya K, Hakkarainen K, Lonka K, Alho K. The dark side of internet use: two longitudinal studies of excessive internet use, depressive symptoms, school burnout and engagement among Finnish early and late adolescents. J Youth Adolesc. 2017;46(2):343–57.

    Article  PubMed  Google Scholar 

  15. World Health Organization. 2021; Disponible sur: https://www.who.int/health-topics/depression#tab=tab_1.

  16. Kross E, Verduyn P, Demiralp E, Park J, Lee DS, Lin N, et al. Facebook use predicts declines in subjective well-being in young adults. PLoS ONE. 2013;8(8): e69841.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  17. Gholamian B, Shahnazi H, Hassanzadeh A. The prevalence of internet addiction and its association with depression, anxiety, and stress, among high-school students. Int J Pediatr-Mashhad. 2017;5(4):4763–70.

    Google Scholar 

  18. Primack BA, Shensa A, Escobar-Viera CG, Barrett EL, Sidani JE, Colditz JB, et al. Use of multiple social media platforms and symptoms of depression and anxiety: a nationally-representative study among US young adults. Comput Hum Behav. 2017;69:1–9.

    Article  Google Scholar 

  19. Vannucci A, Flannery KM, Ohannessian CM. Social media use and anxiety in emerging adults. J Affect Disord. 2017;207:163–6.

    Article  PubMed  Google Scholar 

  20. Baltacı Ö. The predictive relationships between the social media addiction and social anxiety, loneliness, and happiness. Int J Progress Educ. 2019;15(4):73–82.

    Article  Google Scholar 

  21. Hanprathet N, Manwong M, Khumsri J, Yingyeun R, Phanasathit M. Facebook addiction and its relationship with mental health among thai high school students. J Med Assoc Thail Chotmaihet Thangphaet. 2015;98(Suppl 3):S81-90.

    Google Scholar 

  22. Zaffar M, Mahmood S, Saleem M, Zakaria E. Facebook addiction: Relation with depression, anxiety, loneliness and academic performance of Pakistani students. Sci Int Lahore. 2015;27(3):2469–75.

    Google Scholar 

  23. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372: n71.

    Article  PubMed  PubMed Central  Google Scholar 

  24. National Heart, Lung, and Blood Institute (NHLBI). Quality assessment tool for observational cohort and cross-sectional studies. 2014.

  25. DerSimonian R, Laird N. Meta-analysis in clinical trials revisited. Contemp Clin Trials. 2015;45(Pt A):139–45.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Rücker G, Schwarzer G, Carpenter J, Schumacher M. Undue reliance on I(2) in assessing heterogeneity may mislead. BMC Med Res Methodol. 2008;8:1–9.

    Article  Google Scholar 

  27. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page M. Cochrane handbook for systematic reviews of interventions : Cochrane book series. 2019.

  28. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Lin L, Chu H. Quantifying publication bias in meta-analysis. Biometrics. 2018;74(3):785–94.

    Article  MathSciNet  PubMed  Google Scholar 

  30. Lin CY, Namdar P, Griffiths MD, Pakpour AH. Mediated roles of generalized trust and perceived social support in the effects of problematic social media use on mental health: a cross-sectional study. Health Expect Int J Public Particip Health Care Health Policy. 2021;24(1):165–73.

    Google Scholar 

  31. Lin CY, Broström A, Griffiths MD, Pakpour AH. Investigating mediated effects of fear of COVID-19 and COVID-19 misunderstanding in the association between problematic social media use, psychological distress, and insomnia. Internet Interv. 2020;21: 100345.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Alimoradi Z, Lin CY, Imani V, Griffiths MD, Pakpour AH. Social media addiction and sexual dysfunction among Iranian women: the mediating role of intimacy and social support. J Behav Addict. 2019;8(2):318–25.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Pirouz F. The relationship between using social media with internet addiction and anxiety among university students. Int J Adv Biotechnol Res. 2016;7:419–26.

    Google Scholar 

  34. Dagher M, Farchakh Y, Barbar S, Haddad C, Akel M, Hallit S, et al. Association between problematic social media use and memory performance in a sample of Lebanese adults: the mediating effect of anxiety, depression, stress and insomnia. Head Face Med. 2021;17(1):6.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Barbar S, Haddad C, Sacre H, Dagher D, Akel M, Kheir N, et al. Factors associated with problematic social media use among a sample of Lebanese adults: the mediating role of emotional intelligence. Perspect Psychiatr Care. 2021;57(3):1313–22.

    Article  PubMed  Google Scholar 

  36. Malaeb D, Salameh P, Barbar S, Awad E, Haddad C, Hallit R, et al. Problematic social media use and mental health (depression, anxiety, and insomnia) among Lebanese adults: any mediating effect of stress? Perspect Psychiatr Care. 2021;57(2):539–49.

    Article  PubMed  Google Scholar 

  37. Fekih-Romdhane F, Sassi H, Cheour M. The relationship between social media addiction and psychotic-like experiences in a large nonclinical student sample. Psychos-Psychol Soc Integr Approaches. 2021;13(4):349–60.

    Google Scholar 

  38. Ghali H, Ghammem R, Zammit N, Fredj SB, Ammari F, Maatoug J, et al. Validation of the Arabic version of the Bergen Facebook Addiction Scale in Tunisian adolescents. Int J Adolesc Med Health. 2019;34(1).

  39. Nazzal Z, Rabee’ H, Ba’ara M, Berte D. Excessive Facebook use and physical and mental health risks in the occupied Palestinian territory: a cross-sectional study. Lancet. 2018;391:S38.

    Article  Google Scholar 

  40. Louragli I, Ahami A, Khadmaoui A, Aboussaleh Y, Chaker LA. Behavioral analysis of adolescent’s students addicted to facebook and its impact on performance and mental health. Acta Neuropsychol. 2019;17(4):427–39.

    Article  Google Scholar 

  41. Malak MZ, Shuhaiber AH, Al-amer RM, Abuadas MH, Aburoomi RJ. Correlation between psychological factors, academic performance and social media addiction: model-based testing. Behav Inf Technol. 2022;41(8):1583–95.

    Article  Google Scholar 

  42. Saigh RA, Herzallah R, Alhusban A. An assessment of the interaction between studying pharmacy, problematic use of social media and depression. Am J Pharm Educ. 2021;8625.

  43. Zeeni N, Doumit R, Abi Kharma J, Sanchez-Ruiz MJ. Media, technology use, and attitudes: associations with physical and mental well-being in youth with implications for evidence-based practice. Worldviews Evid Based Nurs. 2018;15(4):304–12.

    Article  PubMed  Google Scholar 

  44. Andreassen CS, Torsheim T, Brunborg GS, Pallesen S. Development of a Facebook addiction scale. Psychol Rep. 2012;110(2):501–17.

    Article  PubMed  Google Scholar 

  45. Schou Andreassen C, Billieux J, Griffiths MD, Kuss DJ, Demetrovics Z, Mazzoni E, et al. The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: a large-scale cross-sectional study. Psychol Addict Behav J Soc Psychol Addict Behav. 2016;30(2):252–62.

    Article  Google Scholar 

  46. Ellison N, Steinfield C, Lampe C. The benefits of Facebook “Friends:” social capital and college students’ use of online social network sites. J Comput-Mediat Commun. 2007;12:1143–68.

    Article  Google Scholar 

  47. Meng SQ, Cheng JL, Li YY, Yang XQ, Zheng JW, Chang XW, et al. Global prevalence of digital addiction in general population: a systematic review and meta-analysis. Clin Psychol Rev. 2022;92: 102128.

    Article  PubMed  Google Scholar 

  48. Piteo EM, Ward K. Review: Social networking sites and associations with depressive and anxiety symptoms in children and adolescents—a systematic review. Child Adolesc Ment Health. 2020;25(4):201–16.

    Article  PubMed  Google Scholar 

  49. Ahmad N, Hussain S, Naergis M. Social networking and depression among university students. Pak J Med Res. 2018;57(2):77–82.

    Google Scholar 

  50. Pollet TV, Roberts SGB, Dunbar RIM. Use of social network sites and instant messaging does not lead to increased offline social network size, or to emotionally closer relationships with offline network members. Cyberpsychol Behav Soc Netw. 2011;14(4):253–8.

    Article  PubMed  Google Scholar 

  51. Online PI, Networking S, Health M. Online social networking and mental health. Cyberpsychol Behav Soc Netw. 2014;17(10):652–7.

    Article  Google Scholar 

  52. Kuss DJ, Griffiths MD, Karila L, Billieux J. Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des. 2014;20(25):4026–52.

    Article  CAS  PubMed  Google Scholar 

  53. Litsa T. How social media affects your attention span. 2014. LinkedIn https://www.linkedin.com/pulse/20140519183028-114333012-how-socialmedia-affects-your-attention-span.

  54. El Asam A, Samara M, Terry P. Problematic internet use and mental health among British children and adolescents. Addict Behav. 2019;90:428–36.

    Article  PubMed  Google Scholar 

  55. Ha JH, Kim SY, Bae SC, Bae S, Kim H, Sim M, et al. Depression and Internet addiction in adolescents. Psychopathology. 2007;40(6):424–30.

    Article  PubMed  Google Scholar 

  56. LeBourgeois MK, Hale L, Chang AM, Akacem LD, Montgomery-Downs HE, Buxton OM. Digital media and sleep in childhood and adolescence. Pediatrics. 2017;140(Suppl 2):S92–6.

    Article  PubMed  Google Scholar 

  57. Hughes S. Effects of social media on depression anxiety and stress. 2018.

  58. Chou HTG, Edge N. « They are happier and having better lives than I am »: the impact of using Facebook on perceptions of others’ lives. Cyberpsychol Behav Soc Netw. 2012;15(2):117–21.

    Article  PubMed  Google Scholar 

  59. Vogel EA, Rose JP, Roberts LR, Eckles K. Social comparison, social media, and self-esteem. Psychol Pop Media Cult. 2014;3(4):206–22.

    Article  Google Scholar 

  60. Primack BA, Shensa A, Sidani JE, Whaite EO, Lin L, Rosen D, et al. Social media use and perceived social isolation among young adults in the US. Am J Prev Med. 2017;53(1):1–8.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Verduyn P, Lee DS, Park J, Shablack H, Orvell A, Bayer J, et al. Passive Facebook usage undermines affective well-being: experimental and longitudinal evidence. J Exp Psychol Gen. 2015;144(2):480–8.

    Article  PubMed  Google Scholar 

  62. Fardouly J, Diedrichs PC, Vartanian LR, Halliwell E. Social comparisons on social media: the impact of Facebook on young women’s body image concerns and mood. Body Image. 2015;13:38–45.

    Article  PubMed  Google Scholar 

  63. Lup K, Trub L, Rosenthal L. Instagram #instasad?: exploring associations among instagram use, depressive symptoms, negative social comparison, and strangers followed. Cyberpsychol Behav Soc Netw. 2015;18(5):247–52.

    Article  PubMed  Google Scholar 

  64. Tandoc EC, Ferrucci P, Duffy M. Facebook use, envy, and depression among college students: Is facebooking depressing? Comput Hum Behav. 2015;43:139–46.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

There was no funding for this study.

Author information

Authors and Affiliations

  1. Laboratory of Epidemiology and Research in Health Sciences, Faculty of Medicine, Pharmacy and Dental Medicine, Sidi Mohamed Ben Abdellah University, KM 2.200 Route Sidi Harazem, 30070, Fez, Morocco

    Samira Abbouyi, Samira Bouazza, Karima El Rhazi & Btissame Zarrouq

  2. Faculty of Sciences and Techniques, Moulay Ismail University, Errachidia, Morocco

    Soukaina El Kinany

  3. Teachers Training College (Ecole Normale Superieure), Department of Biology and Geology, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Btissame Zarrouq

Authors
  1. Samira Abbouyi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Samira Bouazza
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Soukaina El Kinany
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Karima El Rhazi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Btissame Zarrouq
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

SA developed the study design, collected and interpreted the data, and wrote the manuscript. SB conceived the study's design and data collection. SE contributed to the study design and corrected the manuscript. KE contributed to the study's design and data acquisition. BZ supervised data collection, contributed to the study design, and corrected the manuscript. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Samira Abbouyi.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abbouyi, S., Bouazza, S., El Kinany, S. et al. Depression and anxiety and its association with problematic social media use in the MENA region: a systematic review. Egypt J Neurol Psychiatry Neurosurg 60, 15 (2024). https://doi.org/10.1186/s41983-024-00793-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41983-024-00793-0

Keywords