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Cong Y, Zhang Y, Han Y, Wu Y, Wang D, Zhang B. Recommendations for nutritional supplements for dry eye disease: current advances. Front Pharmacol 2024; 15:1388787. [PMID: 38873421 PMCID: PMC11169594 DOI: 10.3389/fphar.2024.1388787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/17/2024] [Indexed: 06/15/2024] Open
Abstract
Dry eye disease (DED) represents a prevalent ocular surface disease. The development of effective nutritional management strategies for DED is crucial due to its association with various factors such as inflammation, oxidative stress, deficiencies in polyunsaturated fatty acids (PUFAs), imbalanced PUFA ratios, and vitamin insufficiencies. Extensive research has explored the impact of oral nutritional supplements, varying in composition and dosage, on the symptoms of DED. The main components of these supplements include fish oils (Omega-3 fatty acids), vitamins, trace elements, and phytochemical extracts. Beyond these well-known nutrients, it is necessary to explore whether novel nutrients might contribute to more effective DED management. This review provides a comprehensive update on the therapeutic potential of nutrients and presents new perspectives for combination supplements in DED treatment.
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Affiliation(s)
| | | | | | | | | | - Bingjie Zhang
- Department of Ophthalmology, The First Hospital of Jilin University, Changchun, China
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Bin Maneea MW, Alamawi HO, Almuqbil A, Abukhlaled JK, Alsuwailem G, Alabdulminaim J, Aladawi AMM, Alshangiti AY. Digital Eye Straining: Exploring Its Prevalence, Associated Factors, and Effects on the Quality of Life. Cureus 2024; 16:e59442. [PMID: 38826913 PMCID: PMC11140826 DOI: 10.7759/cureus.59442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/30/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND Digital eye strain (DES) has become a pervasive issue in contemporary society due to increased reliance on electronic devices. This study aims to comprehensively explore the symptoms, severity, and associated factors of DES, considering demographic, behavioral, and health-related variables. METHODOLOGY A cross-sectional study was conducted among participants with diverse demographic backgrounds. A structured questionnaire collected data on participant characteristics, electronic device usage patterns, symptoms of DES, and its impact on various aspects of quality of life. Statistical analyses, including chi-square tests, were employed to assess associations and significance. RESULTS The majority of participants reported symptoms of DES, with eye dryness, headache, and eye redness being the most prevalent. Symptom severity varied, with age, daily device usage, adherence to the 20-20-20 rule, and studying with electronic devices demonstrating statistically significant associations. Participants diagnosed with eye diseases exhibited higher symptom severity. While disagreement was common regarding DES increasing stress, a substantial proportion acknowledged its impact on productivity and attention. CONCLUSION The current study showed that there is a significant correlation between the incidence of digital eye straining and longer screen exposure time. The findings underscore the importance of age, behavior, and ocular health in understanding and addressing DES. The results contribute to the broader discourse on digital eye health and emphasize the need for targeted interventions to alleviate the impact of DES on daily life.
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Affiliation(s)
| | - Halah O Alamawi
- College of Medicine, King Abdullah bin Abdulaziz University Hospital, Riyadh, SAU
| | - Abdulaziz Almuqbil
- College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SAU
| | - Jana K Abukhlaled
- College of Medicine, Princess Nourah Bint Abdul Rahman University, Riyadh, SAU
| | | | | | | | - Asmaa Y Alshangiti
- College of Medicine, Princess Nourah Bint Abdul Rahman University, Riyadh, SAU
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Saoji AA, Swathi PS, Bhat R, Bansal B, Mohanty S, Raj Lakshmi RKR. Exploring the Effect of Trataka (A Yogic Cleansing Technique) and Cold Eye Pack on Eye Strain During COVID-19 Pandemic: A Randomized Three-Arm Trial. JOURNAL OF INTEGRATIVE AND COMPLEMENTARY MEDICINE 2024; 30:345-351. [PMID: 37852005 DOI: 10.1089/jicm.2023.0175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Abstract
Objective: Computer vision syndrome is a major global public health concern affecting >60 million individuals globally. Yoga and naturopathy practices can reduce visual fatigue and strain. The present study attempted to explore the effect of trataka that is, a yogic cleansing technique and cold eye pack on visual strain and fatigue. Subjects: Three hundred volunteers from an IT company were recruited following inclusion and exclusion criteria. Intervention: The subjects were randomly distributed in three groups, that is, trataka, cold eye pack, and waitlist control group with an allocation ratio of 1:1:1. Outcome measure: Visual Fatigue Scale and Visual symptoms checklist (VSC) was administered at baseline and end of 2 weeks. Repeated measures analysis of variance (RM-ANOVA) with Bonferroni corrections was used to test the difference across the groups. Results: All the variables were similar at the baseline among the groups. Significant changes in the within-group analysis occurred in both the trataka and cold eye pack groups. The RM-ANOVA revealed significant differences in the VAS and VSC (p = 0.001) and the post hoc analysis suggested that there were significant differences in both the trataka and cold eye pack group when compared with the control group (p = 0.001); however, there was no differences between the trataka and cold eye pack group in both the scales (p = 1). Conclusions: The results of the present study suggest that a trataka and cold eye pack for 14 days improves self-rated visual strain and fatigue among IT professionals with computer vision syndrome. Clinical Trial registration number: CTRI/2020/11/029003.
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Affiliation(s)
- Apar Avinash Saoji
- Division of Yoga and Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India
| | - P S Swathi
- School of Yoga and Naturopathic Medicine, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India
| | - Raghavendra Bhat
- Division of Yoga and Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India
| | - Bhavit Bansal
- School of Yoga and Naturopathic Medicine, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India
| | - Sriloy Mohanty
- Center for Integrative Medicine and Research, All India Institute of Medical Sciences, New Delhi, India
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León-Figueroa DA, Barboza JJ, Siddiq A, Sah R, Valladares-Garrido MJ, Adhikari S, Aguirre-Milachay E, Sah S, Rodriguez-Morales AJ. Prevalence of computer vision syndrome during the COVID-19 pandemic: a systematic review and meta-analysis. BMC Public Health 2024; 24:640. [PMID: 38424562 PMCID: PMC10902934 DOI: 10.1186/s12889-024-17636-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 01/01/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Computer vision syndrome has become a significant public health problem, especially in developing countries. Therefore, this study aims to identify the prevalence of computer vision syndrome during the COVID-19 pandemic. METHODS A systematic review and meta-analysis of the literature was conducted using the databases PubMed, Scopus, Web of Science, and Embase up to February 22, 2023, using the search terms "Computer Vision Syndrome" and "COVID-19". Three authors independently performed study selection, quality assessment, and data extraction, and the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument was used to evaluate study quality. Heterogeneity was assessed using the statistical test I2, and the R version 4.2.3 program was used for statistical analysis. RESULTS A total of 192 studies were retrieved, of which 18 were included in the final meta-analysis. The total sample included 10,337 participants from 12 countries. The combined prevalence of computer vision syndrome was 74% (95% CI: 66, 81). Subgroup analysis based on country revealed a higher prevalence of computer vision syndrome in Pakistan (99%, 95% CI: 97, 100) and a lower prevalence in Turkey (48%, 95% CI: 44, 52). In addition, subgroup analysis based on study subjects showed a prevalence of 82% (95% CI: 74, 89) for computer vision syndrome in non-students and 70% (95% CI: 60, 80) among students. CONCLUSION According to the study, 74% of the participants experienced computer vision syndrome during the COVID-19 pandemic. Given this finding, it is essential to implement preventive and therapeutic measures to reduce the risk of developing computer vision syndrome and improve the quality of life of those affected. TRIAL REGISTRATION The protocol for this systematic review and meta-analysis was registered in the international registry of systematic reviews, the International Prospective Register of Systematic Reviews (PROSPERO), with registration number CRD42022345965.
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Affiliation(s)
- Darwin A León-Figueroa
- Facultad de Medicina Humana, Universidad de San Martín de Porres, Chiclayo, 15011, Peru
- Centro de Investigación en Atención Primaria en Salud, Universidad Peruana Cayetano Heredia, Lima, 15102, Peru
| | - Joshuan J Barboza
- Unidad de Revisiones Sistemáticas y Meta-Análisis, Universidad San Ignacio de Loyola, Juan del Corral 937. El Bosque, Trujillo, Lima, Peru
| | | | - Ranjit Sah
- Department of Microbiology, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, 44600, Nepal
- Department of Microbiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, 411018, Maharashtra, India
- Department of Public Health Dentistry, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, 411018, Maharashtra, India
| | - Mario J Valladares-Garrido
- Universidad Continental, Lima, 15046, Peru.
- Oficina de Epidemiología, Hospital Regional Lambayeque, Chiclayo, 14012, Peru.
| | | | | | - Sanjit Sah
- Research Scientist, Global Consortium for Public Health and Research, Datta Meghe Institute of Higher Education and Research, Jawaharlal Nehru Medical College, Wardha, 442001, India
- SR Sanjeevani Hospital, Kalyanpur-10, Siraha, Nepal
| | - Alfonso J Rodriguez-Morales
- Master of Clinical Epidemiology and Biostatistics, Universidad Cientifica del Sur, Lima, 15067, Peru
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, 1102, Lebanon
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Ccami-Bernal F, Soriano-Moreno DR, Romero-Robles MA, Barriga-Chambi F, Tuco KG, Castro-Diaz SD, Nuñez-Lupaca JN, Pacheco-Mendoza J, Galvez-Olortegui T, Benites-Zapata VA. Prevalence of computer vision syndrome: A systematic review and meta-analysis. JOURNAL OF OPTOMETRY 2024; 17:100482. [PMID: 37866176 PMCID: PMC10785422 DOI: 10.1016/j.optom.2023.100482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 10/24/2023]
Abstract
PURPOSE This review aimed to estimate the prevalence of computer vision syndrome (CVS) in the general population and subgroups. METHODS A search was conducted in the following the databases: PubMed, SCOPUS, EMBASE, and Web of Science until February 13, 2023. We included studies that assessed the prevalence of CVS in any population. The Joanna Briggs Institute's critical appraisal tool was used to evaluate the methodological quality. A meta-analysis of the prevalence of CVS was done using a random-effects model, assessing the sources of heterogeneity using subgroup and meta-regression analyses. RESULTS A total of 103 cross-sectional studies with 66 577 participants were included. The prevalence of CVS was 69.0% (95% CI: 62.3 to 75.3; I2: 99.7%), ranging from 12.1 to 97.3% across studies. Point prevalence was higher in women than in men (71.4 vs. 61.8%), university students (76.1%), Africa (71.2%), Asia (69.9%), contact lens wearers (73.1% vs. 63.8%) in studies conducted before the COVID-19 pandemic (72.8%), and in those that did not use the CVS-Q questionnaire (75.4%). In meta-regression, using the CVS-Q scale was associated with a lower prevalence of CVS. CONCLUSION Seven out of ten people suffer from CVS. Preventive strategies and interventions are needed to decrease the prevalence of this condition which can affect productivity and quality of life. Future studies should standardize a definition of CVS.
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Affiliation(s)
- Fabricio Ccami-Bernal
- Facultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Santa Catalina 117, Arequipa 04000, Peru
| | - David R Soriano-Moreno
- Unidad de Investigación Clínica y Epidemiológica, Universidad Peruana Unión, Lima, Carretera Central Km 19.5 Ñaña, Chosica, 15464 Peru
| | | | - Fernanda Barriga-Chambi
- Facultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Santa Catalina 117, Arequipa 04000, Peru
| | - Kimberly G Tuco
- Unidad de Investigación Clínica y Epidemiológica, Universidad Peruana Unión, Lima, Carretera Central Km 19.5 Ñaña, Chosica, 15464 Peru
| | - Sharong D Castro-Diaz
- Unidad de Investigación Clínica y Epidemiológica, Universidad Peruana Unión, Lima, Carretera Central Km 19.5 Ñaña, Chosica, 15464 Peru
| | - Janeth N Nuñez-Lupaca
- Escuela Profesional de Medicina Humana, Universidad Nacional Jorge Basadre Grohmann, Tacna, Miraflores S/N, 23000 Peru
| | | | - Tomas Galvez-Olortegui
- Unidad de Oftalmología Basada en Evidencias (Oftalmoevidencia), Scientia Clinical and Epidemiological Research Institute, Trujillo, Mz. G Lt. 22 Urb. Vista Hermosa, 13001 Peru; Departamento de Oftalmología, Hospital Nacional Guillermo Almenara Yrigoyen, Jirón García Naranjo 840, La Victoria 13, Lima 15033, Peru
| | - Vicente A Benites-Zapata
- Unidad de investigación para la Generación y Síntesis de Evidencias en Salud (UGIES), Universidad San Ignacio de Loyola, Av. La Fontana 550, La Molina, Lima 15024, Peru.
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