Research Article | In-Press | Volume 15 Issue 2 (February, 2026) | Pages 163 - 169

Visual Snow Syndrome in Saudi Arabia: A Cross-Sectional Study Assessing Prevalence, Symptomatology, Awareness, and Associated Factors

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1
Department of Ophthalmology, College of Medicine, University of Hail, Hai 55476, Saudi Arabia
2
College of Medicine, University of Hail, Hail, Saudi Arabia
3
Center for Scientific Research and Entrepreneurship, Northern Border University, Arar, Saudi Arabia Department of Mathematics, College of Science, Northern Border University, Arar, Saudi Arabia
4
Department of Statistics, Faculty of Mathematical Sciences and Informatics, University of Khartoum, Khartoum, Sudan
Under a Creative Commons license
Open Access

Abstract

Background: Visual Snow Syndrome (VSS) is characterized by persistent visual disturbances such as visual static, afterimages, photophobia, and impaired night vision. Despite growing global recognition, data from Middle Eastern populations remains limited, particularly on prevalence, symptomatology, and awareness. Objectives: To estimate the prevalence of VSS, evaluate symptom patterns, assess awareness, and identify associated factors among adults in Saudi Arabia. Methods: A cross-sectional online survey using convenience sampling through social media was conducted among Saudi adults (≥18 years). The questionnaire collected demographic data, VSS symptoms, awareness, comorbidities (migraine, tinnitus, anxiety, depression), lifestyle factors, family history, and impact on daily life. Data were analyzed using descriptive statistics and Fisher’s exact test (p<0.05). Results: Of 343 respondents, 3.8% met symptom-based criteria for VSS, aligning with international prevalence (2%–5%). Awareness was low (12.8%), mainly via media rather than healthcare providers. Common symptoms were afterimages (32.7%) and photophobia (30.6%). Significant comorbidities included migraine (17.5%), anxiety (20.4%), tinnitus (11.1%), and depression (5%). Extended screen time and low physical activity were common lifestyle factors. Additionally, 16.3% reported a family history of visual disturbances and 8% noted stress exacerbation. Conclusion: This study highlights the prevalence, poor awareness, and symptom burden of VSS in Saudi Arabia. Findings underscore the need for targeted education and further research to improve clinical recognition and patient care.

Keywords
Visual Snow Syndrome, Prevalence, Symptomatology, Awareness, Associated Factors, Saudi Arabia

INTRODUCTION

Visual snow syndrome (VSS) is characterized by persistent visual disturbances, predominantly visual static or noise, accompanied frequently by afterimages, photophobia, and impaired night vision [1]. Despite gaining international recognition, VSS remains widely underdiagnosed and often misdiagnosed as migraine aura, hallucinogen-persisting perception disorder (HPPD), or other neuro-ophthalmologic conditions [2–4]. Diagnostic criteria primarily depend on self-reported symptoms due to the current absence of objective biomarkers, which complicates accurate diagnosis and management [1].

 

Current evidence suggests that VSS originates from widespread cortical hyperexcitability involving visual and thalamocortical networks, as confirmed by functional neuroimaging studies indicating cortical dysfunction beyond visual pathways, including the attentional and limbic areas [5,6]. This neurological basis underpins the complex symptomatology observed in VSS.

 

Prevalence estimates for VSS vary, with studies from Europe reporting rates of between 2% and 5%. These variations are influenced by differences in the diagnostic criteria and study methodologies [7–9]. Notably, there is a paucity of data regarding the prevalence and characteristics of VSS in Middle Eastern populations, including those in Saudi Arabia. This lack of regional research highlights the need for studies focused on these communities to better understand the impact of the syndrome and inform appropriate clinical responses.

 

VSS frequently co-occurs with conditions such as migraines, tinnitus, anxiety, and depression [2,10,11]. These comorbidities suggest a broader neurological and psychological interplay that warrants comprehensive investigation. Furthermore, lifestyle factors such as prolonged screen time and reduced physical activity have been hypothesized to influence symptom severity, although empirical evidence remains limited.

 

The evident gaps in clinical awareness and understanding of VSS, especially in underrepresented regions, underscore the necessity for targeted educational initiatives and research efforts. Conducting studies within diverse populations will not only enhance the global comprehension of VSS, but also contribute to the development of effective diagnostic and management strategies tailored to specific community needs.

METHODES

Study Design

A cross-sectional, descriptive study design was used, employing an online, self-administered questionnaire to collect data. This survey aimed to gather insights into the symptomatology, awareness levels, and factors associated with Visual Snow Syndrome (VSS) among the Saudi population.

 

Participants

Participants included individuals residing in Saudi Arabia recruited via convenience sampling through online platforms and social media channels. The Inclusion criteria were adults aged 18 years or older, capable of providing informed consent, and able to complete an online survey independently.

 

Data Collection Tool

An electronic questionnaire was developed based on previous studies and the validated literature. The questionnaire consisted of multiple sections covering the following:

 

  • Demographic data (age, gender, region, education, and occupation)
  • Awareness of VSS and sources of information
  • Symptomatology, specifically assessing visual snow, afterimages, photophobia, and night blindness.
  • Associated medical conditions (e.g., migraine, anxiety, tinnitus, and depression)
  • Lifestyle and environmental factors (screen time, physical activity, and tobacco use)
  • Impact on daily activities, symptom duration, and stress effects

 

Data Collection Procedure

The finalized questionnaire was distributed electronically through social media platforms, healthcare forums, and direct contact between specific dates. The participants voluntarily completed the online survey after providing informed consent. Anonymity and confidentiality were ensured throughout the data-collection process.

 

Data Analysis

Data were analyzed using descriptive and inferential statistical methods using SPSS (version 28). Descriptive statistics, including frequencies, percentages, and means, were calculated to summarize demographic characteristics, symptom prevalence, and awareness levels. Fisher’s exact test and chi-square test were used to assess the potential associations between the presence of VSS and demographic or lifestyle variables. Statistical significance was set at p<0.05.

 

Ethical Considerations

Ethical approval was obtained from the relevant institutional review board prior to data collection. Participation was entirely voluntary, and respondents were informed of their right to withdraw at any point without consequences. All collected data were stored securely and accessible only to authorized research personnel.

RESULTS

A total of 343 participants were included in this study. Most participants were aged 18–24 years (37%), followed by those aged 25–34 years (30.9%). The majority (76.1%) were female. Regarding region of residence, 57.4% resided in the Northern region, followed by 29.7% in the Central region. In terms of education, 72.9% of participants held a bachelor’s degree. Professionally, 48.4% were non-healthcare professionals and 32.9% were students (Table 1).

 

Table 1: Distribution of Participants according to Demographic Characteristics

Variables

Variable levels

Count

Percent

Age group

Under 18

1

0.3

18-24

127

37

25-34

106

30.9

35-44

57

16.6

45-54

23

6.7

55-64

19

5.5

65 and older

6

1.7

Missing

4

1.2

Gender

Male

79

23

Female

261

76.1

Missing

3

0.9

Region of Residence

Western (Jeddah, Mecca, etc.)

13

3.8

Southern (Najran, etc.)

3

0.9

Northern (Tabuk, etc.)

197

57.4

Eastern (Dammam, Khobar, etc.)

24

7

Central (Riyadh, etc.)

102

29.7

Missing

4

1.2

Highest Level of Education

Less than high school

6

1.7

High school graduate

53

15.5

Bachelor’s degree

250

72.9

Master’s degree

20

5.8

Doctoral degree or higher

11

3.2

Missing

3

0.9

Occupation

Student

113

32.9

Healthcare Worker

6

1.7

Professional (non-healthcare)

166

48.4

Homemaker

30

8.7

Retired

20

5.8

Unemployed

8

2.3

Total

343

100

 

Regarding awareness of the VSS, only 44 participants (12.8%) had heard of the condition. Among them, 59.1% learned about it from the media, 20.5% from healthcare professionals, 18.2% from friends or family, and 2.3% from other sources (Table 2).

 

Table 2: Participants awareness of VSS

Variables

variables

Count

Percent

Have you ever heard of Visual Snow Syndrome (VSS)?

Yes

44

12.8

No

299

87.2

Total

343

100

If yes, where did you hear about it?

Healthcare professional

9

20.5

Media (TV, internet, etc.)

26

59.1

Friends or family

8

18.2

Other

1

2.3

Total

44

100

 

With respect to the distribution of symptoms, 13.1% of the participants reported experiencing visual snow (static) in their vision, 32.7% reported seeing afterimages after looking away from objects, 10.2% reported difficulty seeing at night (night blindness), and 30.6% reported sensitivity to light (photophobia). Additionally, 8.5% reported both visual snow and afterimages, 3.2% experienced both visual snow and night blindness, and 7.3% experienced both visual snow and sensitivity to light. Furthermore, 2.9% experienced visual snow, afterimages, and night blindness; 5.2% reported visual snow, afterimages, and sensitivity to light; and 2.3% experienced visual snow, night blindness, and light sensitivity. Finally, 2.0% of the participants reported experiencing all four symptoms: visual snow, afterimages, night blindness, and light sensitivity (Figure 1).

 

 

Figure 1: Distribution of Participant according to Presence of Vss Symptoms

 

The results indicated a VSS prevalence of 3.8% with a 95% confidence interval of 1.8%–5.8% (Table 3).

 

Table 3: Prevalence of VSS

VSS

Variables

Variable levels

Count

Percent

95% CI

Lower

Upper

No

330

96.2

94.2

98.2

Yes

13

3.8

1.8

5.8

 

Fisher’s exact test was used to assess the significance of the association between the VSS and demographic characteristics. The results showed no significant associations between VSS and demographic characteristics at the 0.05 significance level, suggesting that participants had a similar prevalence of VSS regardless of their age, gender, region of residence, occupation, or educational attainment (Table 4).

 

Table 4: Association between VSS prevalence and the demographic characteristics:

Variable

Variable levels

VSS

p-value

No

Yes

Total

p-value

Count

%

Count

%

Count

%

Age Group

Under 18

1

100

-

-

1

100

0.109

18-24

120

94.5

7

5.5

127

100

25-34

105

99.1

1

0.9

106

100

35-44

53

9

4

7

57

100

45-54

23

100

-

-

23

100

55-64

19

100

-

-

19

100

65 and older

5

83.3

1

16.7

6

100

Gender

Male

75

94.9

4

5.1

79

100

0.509

Female

252

96.6

9

3.4

261

100

Region of Residence

Western

13

100

-

-

13

100

0.748

Southern

3

100

-

-

3

100

Northern

190

96.4

7

3.6

197

100

Eastern

24

100

-

-

24

100

Central

96

94.1

6

5.9

102

100

Highest Level of Education

Less than high school

6

100

-

-

6

100

0.234

High school graduate

49

92.5

4

7.5

53

100

Bachelor’s degree

243

97.2

7

2.8

250

100

Master’s degree

19

95

1

5

20

100

Doctoral degree or higher

10

90.9

1

9.1

11

100

Occupation

Student

106

93.8

7

6.2

113

100

0.613

Healthcare Worker

6

100

-

-

6

100

Professional (non-healthcare)

161

97

5

3

166

100

Homemaker

30

100

-

-

30

100

Retired

19

95

1

5

20

100

Unemployed

8

100

-

-

8

100

 

Considering the associated conditions, 17.5% of the participants reported experiencing migraines, 11.1% reported tinnitus, 20.4% reported anxiety, and 5% reported depression. Regarding neurological conditions, 1.5% of the participants were diagnosed with neurological disorders (Table 5).

 

Table 5: Associated Health Conditions

Variables

Variable levels

Count

Percent

Migraines

Yes

60

17.5

No

281

81.9

Missing

2

0.6

Tinnitus

Yes

38

11.1

No

303

88.3

Missing

2

0.6

Anxiety

Yes

70

20.4

No

271

79

Missing

2

0.6

Depression

Yes

17

5

No

324

94.5

Missing

2

0.6

Have you ever been diagnosed with a neurological condition

Ys

5

1.5

No

337

98.3

Missing

1

0.3

 

Regarding lifestyle patterns, 39.7% of participants reported an average daily screen time of 5–7 hours, while 31.8% reported 2–4 hours. In addition, 8.2% of the participants reported using tobacco products. In terms of physical activity levels, 47.2% were slightly active, 28.3% sedentary, and 22.7% moderately active (Table 6).

 

Table 6: Lifestyle Patterns

Variables

Variable levels

Count

Percent

Average daily screen time

Less than 2 hours

33

9.6

2-4 hours

109

31.8

5-7 hours

136

39.7

More than 8 hours

64

18.7

Missing

1

0.3

Do you use tobacco products?

Yes

28

8.2

No

309

90.1

Missing

6

1.7

Physical activity level

Sedentary (little or no exercise)

97

28.3

Lightly active (light exercise/sports 1-3 days/week)

162

47.2

Moderately active (moderate

78

22.7

Very active (hard exercise/sports 6-7 days/week)

5

1.5

Missing

1

0.3

Total

343

100

 

When investigating additional aspects related to VSS symptoms, 3.8% of participants reported having experienced significant head trauma, and 1.5% had used hallucinogenic or psychoactive drugs. Moreover, 16.3% had a family member with similar visual disturbances and 15.2% had previously sought medical help for visual disturbances. Regarding the frequency with which visual symptoms affected daily activities, approximately 28% reported that symptoms sometimes impacted their activities, whereas approximately 6.9% reported being often or always affected. In terms of symptom duration, 9.3% had experienced symptoms for less than one year, while 5.8% had experienced them for one year or longer. Furthermore, 7.6% of the participants reported that changes in stress levels influenced their symptoms (Figure 2).

 

 

Figure 2: Additional Aspects

DISCUSSION

This study provides important insights into the prevalence, symptomatology, awareness, and associated factors of Visual Snow Syndrome (VSS) in the Saudi Arabian population. Our findings indicate a prevalence of approximately 3.8%, aligning closely with the international prevalence estimates ranging from 2% to 5% [7–9]. Despite the methodological limitations associated with using a convenience sampling method through social media distribution, this estimated prevalence provides essential preliminary data specific to the Saudi context and highlights the relevance of the VSS within this population.

 

Awareness of VSS among respondents was notably low, with only 12.8% previously aware of the condition, primarily gaining knowledge through the media rather than through healthcare professionals. This limited clinical and public awareness aligns with global trends and underscores a significant barrier to accurate diagnosis and effective management [6,7]. This highlights the urgent need for targeted educational efforts aimed at both health care providers and the general public to improve early recognition and appropriate clinical responses [12,13].

 

Symptom analysis revealed that afterimages (32.7%) and photophobia (30.6%) were the most common visual disturbances, followed by snow (13.1%) [10]. The frequent occurrence of multiple simultaneous symptoms underscores the complex neurological underpinnings of VSS, consistent with the existing literature proposing cortical hyperresponsivity involving the visual and broader thalamocortical networks [5,14].

 

Significant comorbid conditions were reported among respondents, including migraine (17.5%), anxiety (20.4%), tinnitus (11.1%), and depression (5%), confirming the findings of previous international studies [8,11]. These associations strengthen the conceptualization of the VSS as part of a broader neurophysiological spectrum involving multisensory hypersensitivity [10,15]. Consequently, clinicians should adopt a multidisciplinary approach to ensure effective management.

 

Lifestyle factors, such as extended screen exposure and lower levels of physical activity, were prevalent among the participants, although the causative conclusions cannot be drawn from this cross-sectional study [16,17]. Nevertheless, this association warrants further longitudinal investigation to explore potential modifiable lifestyle interventions [18].

 

The reported family history of visual disturbances in 16.3% of the respondents suggests potential genetic predispositions or shared environmental triggers, consistent with the current hypotheses in the literature [10,19]. This aspect highlights the necessity for further genetic and familial research to better understand hereditary components and environmental contributions to VSS.

 

Moreover, approximately 8% of the respondents indicated that stress significantly exacerbates their symptoms, aligning with the evidence linking stress to symptom worsening in sensory-processing disorders [20]. Integrating stress management and psychological support into patient care strategies may be beneficial [16,18].

 

Limitations

The key limitations of this study include the use of convenience sampling through social media platforms, introducing potential selection bias, and limiting generalizability. Additionally, reliance on self-reporting without clinical verification introduces potential recall and response bias [10].

 

Recommendations and Future Research

Future studies should employ randomized population-based sampling and incorporate the clinical validation of symptoms to enhance accuracy and generalizability. Longitudinal research is recommended to clarify the symptom progression, causal relationships, and effective interventions. Addressing the identified low awareness levels through targeted education campaigns aimed at healthcare professionals and the public is essential.

CONCLUSION

Despite these methodological limitations, this study significantly contributes to the understanding of VSS prevalence, symptom patterns, and associated factors in Saudi Arabia. These findings underscore crucial gaps in clinical and public awareness, highlighting the urgent need for education and research to improve the recognition, diagnosis, and management of VSS [21].

REFERENCES

  1. Metzler, A.I. and Robertson, C.E. “Visual snow syndrome: proposed criteria, clinical implications, and pathophysiology,” Current Neurology and Neuroscience Reports, vol. 18, no. 8, 2018, pp. 52.
  2. White, O.B. et al. “Visual snow: Visual misperception,” Journal of Neuro-Ophthalmology, vol. 38, no. 4, 2018, pp. 514–521.
  3. Chojdak-Łukasiewicz, J. and Dziadkowiak, E. “Visual snow syndrome in patient with migraine: Case report and literature review,” Journal of Clinical Medicine, vol. 13, no. 5, 2024.
  4. van Dongen, R.M. et al. “Migraine prevalence in visual snow with prior illicit drug use (hallucinogen persisting perception disorder) versus without,” European Journal of Neurology, vol. 28, no. 8, 2021, pp. 2631–2638.
  5. Aeschlimann, S.A. et al. “Visual snow syndrome: Recent advances in understanding the pathophysiology and potential treatment approaches,” Current Opinion in Neurology, vol. 37, no. 3, 2024, pp. 283–288.
  6. Fraser, C.L. “Visual snow: updates on pathology,” Current Neurology and Neuroscience Reports, vol. 22, 2022, pp. 209–217.
  7. Costa, R.M. et al. “Prevalence of visual snow and relation to attentional absorption,” PLOS ONE, vol. 17, no. 11, 2022, pp. e0276971.
  8. Kondziella, D. et al. “Prevalence of visual snow syndrome in the UK,” European Journal of Neurology, vol. 27, no. 5, 2020, pp. 764–772.
  9. Romozzi, M. et al. “Prevalence and characteristics of visual snow syndrome in a cohort of young Italian adults,” European Journal of Neurology, vol. 31, no. 12, 2024.
  10. Puledda, F. et al. “Visual snow syndrome: A clinical and phenotypical description of 1,100 cases,” Neurology, vol. 94, no. 6, 2020, pp. e564–e574.
  11. Mehta, D.G. et al. “Two hundred and forty-eight cases of visual snow: A review of potential inciting events and contributing comorbidities,” Cephalalgia, vol. 41, no. 9, 2021, pp. 1015–1026.
  12. Hang, C. et al. “Not all cases of visual snows are benign: Mimics of visual snow syndrome,” Neuropsychiatric Disease and Treatment, vol. 17, 2021, pp. 3293–3300.
  13. Satgunam, P. et al. “Understanding visual snow syndrome: A retrospective study from a tertiary eye care center,” Indian Journal of Ophthalmology, vol. 72, no. 2, 2024, pp. 211–216.
  14. Eren, O. et al. “Evidence of dysfunction in the visual association cortex in visual snow syndrome,” Annals of Neurology, vol. 84, no. 6, 2018, pp. 946–949.
  15. van Dongen, R.M. et al. “Treatment effects and comorbid diseases in 58 patients with visual snow,” Neurology, vol. 93, no. 4, 2019, pp. e398–e403.
  16. Iqbal, M. et al. “Analysis of the outcomes of the screen-time reduction in computer vision syndrome: a cohort comparative study,” Clinical Ophthalmology, vol. 17, 2023, pp. 123–134.
  17. Puledda, F. et al. “Evaluation of treatment response and symptom progression in 400 patients with visual snow syndrome,” British Journal of Ophthalmology, vol. 106, no. 9, 2022, pp. 1318–1324.
  18. Ciuffreda, K.J. et al. “Neuro-optometric treatment for visual snow syndrome: recent advances,” Concussion, vol. 8, no. 3, 2023, pp. CNC110.
  19. Khatoon, F. et al. “The role of artificial intelligence in early detection and risk stratification of coronary artery disease using ECG and imaging data,” Journal of Pioneering Medical Sciences, vol. 14, no. 9, 2025, pp. 103–107.
  20. Tuekprakhon, A. et al. “Rare co-occurrence of visual snow in a female carrier with RPGRORF15-associated retinal disorder,” Frontiers in Genetics, vol. 12, 2021, pp. 728085.
  21. Solly, E.J. et al. “The psychiatric symptomology of visual snow syndrome,” Frontiers in Neurology, vol. 12, 2021.
  22. Schankin, C.J. et al. “Visual snow syndrome: Is it normal or a disorder – and what to do with patients?” European Journal of Neurology, vol. 27, 2020, pp. 2393–2395.
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