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Journal of Ophthalmology
Volume 2014 (2014), Article ID 704823, 7 pages
http://dx.doi.org/10.1155/2014/704823
Research Article

Retinal-Image Quality and Night-Vision Performance after Alcohol Consumption

Laboratory of Vision Sciences and Applications, Department of Optics, University of Granada, Mecenas Building (Sciences Faculty), Avenida de Fuentenueva, s/n. 18071 Granada, Spain

Received 23 January 2014; Revised 15 March 2014; Accepted 19 March 2014; Published 7 April 2014

Academic Editor: Vasilios F. Diakonis

Copyright © 2014 José J. Castro et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose. To evaluate the influence of alcohol consumption on the retinal-image quality and visual performance under surrounding low-illumination conditions. Methods. A volunteer sample of 67 subjects was analyzed. Optical quality of the eye was evaluated by means of the Strehl ratio, the Objective Scattering Index (OSI), and the tear-film quality. We used the visual disturbance index (VDI) to evaluate visual performance under low-illumination conditions and we measured the pupil size under these conditions. The tear-film volume was also measured. All measurements were made before and after alcohol consumption and patients were classified into two groups depending on their breath alcohol content (BrAC): low-alcohol (BrAC < 0.25 mg/L) and high-alcohol content (BrAC ≥ 0.25 mg/L). Results. The VDI was significantly higher after alcohol consumption: the higher the BrAC, the higher the deterioration of the visual discrimination capacity. The pupil size increased significantly for the high-BrAC group. Parameters evaluating optical quality deteriorated after alcohol consumption. Conclusion. The visual performance under low-illumination conditions and the retinal-image quality were deteriorated after alcohol consumption, especially for the high-alcohol group. Furthermore, some physiological changes were observed under effects for high-alcohol contents, such as an increase in the pupil size and disturbances in the tear film, which deteriorated optical quality.

1. Introduction

The optical quality of the human eye has been widely studied in recent years, as well as its influence on the visual performance. This optical quality depends on the state of the ocular media [13]. Some external factors also can have an influence on optical quality, such as pupil dilation under low-illumination conditions, where the intraocular scattering and ocular aberrations are expected to augment, contributing to the deterioration of the retinal-image quality [4, 5]. All these aspects can interfere with visual performance, as previous studies have demonstrated [13, 6], but also consumption of some types of substance, such as alcohol, can have a negative impact on visual functions [7, 8], hampering many of the daily tasks that require keen vision and full visual performance, such as driving [9], especially under night-time conditions. The World Health Organization (WHO) lists alcohol as one of the main causes of traffic accidents [10, 11].

Several works have shown the impact of alcohol intake on different visual functions reporting a deterioration in visual function after alcohol consumption [7, 8, 12, 13]. Other authors have found physiological changes [14, 15]. However, no studies are available concerning the influence of alcohol intake on the retinal-image quality and the visual performance under low-illumination conditions. Visual performance can be evaluated by means of the visual-discrimination capacity, which is impaired by visual disturbances perceived by the observer. This impairment could be intensified by alcohol intake. Low levels of illuminance together with alcohol consumption could be two important factors that could limit the visual abilities of the subject.

In the present work, we study the influence of alcohol consumption on the retinal-image quality and visual performance under low-illumination conditions. For this, we use a double-pass device for an objective measurement of ocular optical quality, a pupillometer to measure the pupil diameter, and a tear-film test to quantify the tear volume of the eye. Visual performance under low-illuminance levels is characterized using the visual-discrimination capacity, which is useful to gain a complete characterization of visual performance by comparing results before and after alcohol consumption.

2. Methods

2.1. Participants

A total of 67 subjects (32 males, 35 females) participated in the study (134 eyes to be studied), with a mean age of years. Admission criteria for the subjects were that all observers had to be moderate social drinkers older than 18 years old, but without being under any pharmacological treatment. They had to reach a corrected monocular in both eyes and have no pathological conditions that could affect visual performance. All participants in the experiments gave their informed consent in accordance with the Helsinki Declaration. A battery of tests was performed under two conditions: before and after having alcoholic drinks.

2.2. Measuring Breath Alcohol Content

The ethanol concentration for each participant was determined by measuring the breath alcohol content (BrAC), expressed in milligrams of ethanol per litre of exhaled air (mg/L), using a breath analyser [16]. We used the Dräger Alcotest 7110 MK-III (Dräger Safety AG & Co. KGaA. Lübeck, Germany), previously calibrated. This instrument is an evidential breath-alcohol analyser and is used in countries such as Spain for legal purposes and for traffic controls. Ethanol was administered orally by inviting participants to consume an alcoholic beverage (two or more glasses of red wine), so that different rates of alcohol were found. The red wine used was Ribera del Farbes (Pago De Almaraes wineries, S.L. Benalúa de Guadix, Granada, Spain), a young red with 13.5% of alcohol content. The participants were asked to consume these drinks within a 60 min period. After this period, three measurements of BrAC were made with the breath analyser, every 30 min. For each participant, we calculated the mean BrAC, and then, participants were assigned to two groups: a low-BrAC group with  mg/L and a high-BrAC group with  mg/L (Table 1). This classification was made taking into account drinking and driving laws in most European countries, following the recommendations of the WHO [10, 11].

tab1
Table 1: Classification of the participants based on the breath alcohol content (BrAC) limit. The average values of the BrAC (mg/L) are shown for each group. Standard deviation included. Classification of the subjects according to gender is also shown.
2.3. Retinal-Image Quality

To determine the optical quality of the eye, we took objective data from an optical device based on the double-pass technique [17, 18]. We used the commercial device OQAS (Optical Quality Analysis System, Visiometrics S.L. Tarrasa, Spain), which provides data on ocular aberrations and scattering. To evaluate the optical quality, we took the Strehl ratio and the Objective Scatter Index (OSI). The Strehl ratio ranges from 0 to 1 and is defined as the ratio between the 2D-Modulation Transfer Function (2D-MTF) area of the eye and the diffraction-limited 2D-MTF area. A lower value of this parameter indicates a greater contribution of aberrations and ocular scattering and therefore poorer optical quality. We also took the OSI, a parameter that permits the objective quantification of the intraocular scattering. For younger eyes, the OSI value is around 0.5, while for eyes with a cataract the value is higher than 4 [19]. Furthermore, to evaluate the optical quality of the tear film, we traced the time course of the OSI. For that, we measured the OSI in 0.5-seconds steps, from 0 to 10 seconds (without blinking for all the 10-sec measurement). We made OQAS measurements before and after alcohol consumption, in a dark room. The data from the double-pass device were performed for a 4 mm pupil.

2.4. Tear-Film Test

To measure the tear-film volume, a phenol red thread (PRT) tear test was used, the Zone-Quick (Menicon. Tokyo, Japan) consisting of a cotton thread treated with the pH indicator. The folded 3 mm portion of the thread is placed on the palpebral conjunctiva, and, after 15 seconds, the thread is removed. The length of the red portion of the thread is measured in millimeters and is a quantification of the tear-film volume: the greater the length, the higher the tear-film volume. For each participant, before and after alcohol consumption, the PRT test was performed individually for both eyes after OQAS measurements.

2.5. Visual-Discrimination Capacity and Pupil Size

To evaluate the visual performance under surrounding low-illumination conditions, we quantified the visual disturbances perceived by the subject using a visual test conducted by the software Halo v1.0 [3, 6]. The subject’s task consisted of detecting luminous peripheral stimuli around a central high-luminance stimulus over a dark background. All of the stimuli were achromatic. The distance from the observer to the test monitor ( LCD monitor) was 2.5 m and the test was performed monocularly, with best correction. The size of the stimuli was 30 pixels for the radius of the central stimulus and 1 pixel for the peripheral one, subtending 0.46 and 0.02 deg, respectively, from observer’s position. The luminance of the stimuli was measured with a spectroradiometer SpectraScan PR-650 (PhotoResearch, Inc., Chatsworth, CA, USA), values being 175.6 cd/m2 for the main stimulus and 61.4 cd/m2 for the peripheral one, with the luminance for the background monitor of 0.72 cd/m2. The monitor showed 72 peripheral stimuli around the central one, distributed along 18 semiaxes. Each one of the 72 stimuli was presented 2 times. After a 3 min adaptation period to darkness of the monitor background, there was 1 min adaptation to the main stimulus, and then the participant was randomly presented with peripheral stimuli around the central stimulus. The subject, on detecting peripheral spots, pressed a button on the mouse, storing this information for subsequent treatment and calculation of the visual disturbance index (VDI) after the test was finished [6]. The VDI takes values from 0 to 1. The greater value of this parameter indicates that there is a greater contribution of visual disturbances, such as glare, a veil of stray light over the retinal image, or visual halos around luminous stimuli, and therefore poorer discrimination capacity.

In addition to the VDI, the Halo software generates a graph of results where the central stimulus is shown as well as the number of times that each peripheral stimulus is detected by the observer (X for being undetected and 1 or 2 if detected once or twice, resp.), placed in the corresponding position where each stimulus was shown. This graph describes the shape of the visual disturbances perceived by the observer, offering information on areas around a high-luminance stimulus where the observer presents difficulties on detecting luminous stimuli.

Pupil diameter was measured with a Colvard pupillometer (OASIS Medical, Inc. Glendora, CA, USA) before and after alcohol consumption, under the Halo-test illumination conditions.

3. Results

Table 2 shows the mean values for the VDI and pupil size before and after alcohol consumption. Comparisons between data were considered to be statistically significant for values of less than 0.05. The VDI was significantly higher after alcohol consumption (), indicating an impairment in the visual-discrimination capacity under low-illumination conditions. This impairment was stronger for the group with high alcohol content ( mg/L). In terms of gender, the means of the VDI were of (males) and (females) under normal conditions. After alcohol consumption, the means were of (males) and (females). At the 0.05 level, the means of the VDI were not significantly different between males and females (). On the other hand, although the deterioration of the visual-discrimination capacity after the alcoholic intake was similar for both genders (nonsignificant differences), the female group registered a higher mean value (0.114 and 0.147 for males and females, resp.). For the high-alcohol group ( mg/L), the mean VDI deterioration was 0.148 (males) and 0.193 (females), resulting in a higher average deterioration for females.

tab2
Table 2: Mean values for the visual-disturbance index (VDI) and the pupil size, before and after alcohol consumption for all participants and participants with a BrAC greater or less than 0.25 mg/L. Standard deviations included.

Figure 1 represents graphic results for two participants (BrACs of 0.36 and 0.71 mg/L) before and after alcohol intake. Under the influence of halos around the main stimulus, a higher VDI value indicates a lower amount of peripheral stimuli detected. The higher the VDI, the higher the halo size around the central luminous stimulus, reducing the visual-discrimination capacity of stimuli. The deterioration of the VDI as a function of alcohol content is represented in Figure 2. For each participant, this deterioration was calculated as the average of the difference between VDI post- and prealcohol intake for each eye. The statistical analysis was performed with a regression analysis from an analysis of variance that provided the value and the correlation coefficient. We found a significant ascending correlation (, ) for VDI deterioration with BrAC: the higher the BrAC, the greater the deterioration for the visual-discrimination capacity, showing a worsened ability to detect peripheral stimuli around a high-luminance one.

fig1
Figure 1: Graphic results for the visual-discrimination capacity (monocular condition) of two participants (breath alcohol contents (BrACs) of 0.36 and 0.71 mg/L) before and after alcohol administration. The corresponding VDI and the pupil size (mm) are included.
704823.fig.002
Figure 2: Deterioration for the visual disturbance index (VDI) as a function of breath alcohol content (mg/L).

Regarding the pupil size, the results showed a significant increase () in pupil diameter for the high-BrAC group after imbibing alcoholic drinks. Participants with BrAC < 0.25 mg/L did not show significant differences in the pupil size after the alcohol intake.

The results for the optical quality of the eye before and after alcohol intake are presented in Table 3. The average values found for the Strehl ratio under normal conditions were similar to those reported by several authors studying groups of young subjects [20, 21]. Parameters evaluating optical quality deteriorated after alcohol consumption. The Strehl ratio was significantly lower after alcohol intake () in all cases. This decrease indicates a higher level of optical aberrations and intraocular scattering working jointly and therefore poor retinal-image quality. Considering the scattering, the OSI was higher under alcohol effects in all groups, being significantly higher () for participants with  mg/L. The increase in the OSI indicates a greater amount of scattered light through the ocular media and, therefore, retinal-image quality is disturbed after having alcoholic drinks. By gender, before alcohol consumption, the Strehl ratio was of (males) and of (females), with no significant differences () between the two groups. These results agree with those of other authors in a healthy young population [22]. The differences between males and females were not significant, either, after alcohol consumption, registering values of (males) and of (females), respectively. The results for optical quality showed a similar deterioration for males and females after imbibing alcoholic drinks, with no significant differences (). The OSI did not significantly vary with gender, as shown by other results [22].

tab3
Table 3: Mean values for the optical-quality parameters of the eye, before and after alcohol intake, for all the participants and for the groups of high and low alcohol levels (breath alcohol content [BrAC] in mg/L). Strehl ratio, MTF (modulation-transfer function) cut-off, optical scattering index (OSI), and tear volume (in mm) are presented. Standard deviation included.

The PRT test gave a mean value of  mm before alcohol intake and of  mm afterwards for all the participants. The tear-film volume was significantly lower after alcohol consumption () for the group  mg/L. In this case, 71.95% of the eyes fell in tear-film volume. Some authors found no significant changes after moderate alcohol consumption using the Schirmer test [14], agreeing with our results for the low-BrAC group.

Figure 3 presents the time course of the mean OSI before (all participants) and after alcohol intake for the groups with a BrAC lower and higher than 0.25 mg/L. A short time after the blink, the OSI increased with time, due to the deterioration in the tear film in the absence of blinking, which preceded the tear-film break-up. The increase with time of the OSI was more pronounced after alcohol intake, agreeing with results for the OSI (Table 3). For the group  mg/L, the increase after alcohol intake was stronger compared with the low-alcohol-level group, indicating a greater deterioration in the retinal-image quality due to disturbances of the tear film, thereby increasing the scattering through the ocular media and the optical aberrations. The results found here agree with some authors who found a shortened TBUT after alcohol administration [14], resulting in changes in the anterior surface of the eye, which contribute to the reduction in retinal-image quality [23].

704823.fig.003
Figure 3: Time course of the optical scattering index (OSI) before alcohol intake (all participants) and afterwards (groups with a breath alcohol content (BrAC) lower or higher than 0.25 mg/L).

4. Discussion

The night-vision disturbances perceived by the subjects increased after alcohol consumption, in such as way that the higher the rate of breath alcohol the poorer the visual discrimination capacity. This implies a reduction in the visual-discrimination capacity of peripheral stimuli around the central high-luminance stimulus, therefore deteriorating the visual performance. Under these experimental conditions, the perception of dysphotopsias (halos, starbursts, etc.) is accompanied by a deterioration of the contrast sensitivity [8] and a longer time required to recover it after exposure to a high-luminance stimulus [12]. Age is another major factor in the deterioration of visual performance, in such a way that it also deteriorates contrast sensitivity and visual-discrimination capacity under low-illumination conditions, in agreement with recent results [24], showing the importance of evaluating functions such as the visual discrimination capacity, given that they provide information which is useful to evaluate the visual performance but that alone could not provide other functions such as visual acuity.

Alcohol consumption also can cause physiological changes in the eye, such as the pupil size. Although changes in the pupil diameter after alcohol intake are dynamic and depend on the physiological characteristics of the subject, we found that, for high alcohol content, pupil size increased for most of the subjects. In the literature, some studies reported that chronic alcohol use can adversely cause slight mydriasis [25, 26] or that low and moderate alcohol doses do not affect pupil size [27], whereas some authors found constriction and dilation in pupils, but the limits of such changes were not the same for all subjects [15]. Furthermore, other physiological changes occurred in the eye, due to disturbances of the tear film. Some authors have reported the presence of ethanol in tears after alcohol administration as well a shortened TBUT [15]. Our results indicated a decrease in the tear-film volume using the PRT test. This decrease could be due to the presence of ethanol in tears, especially for subjects with a high alcohol content. This ethanol would disturb the tear-film structure, facilitating the evaporation of the aqueous layer, deteriorating the tear film, shortening the TBUT [15], and diminishing the tear-film volume, as found in the present study. We corroborated these results, demonstrating that scattering through the eye was stronger after alcohol consumption, and, in the absence of blinking, the tear film deteriorated more quickly after alcohol consumption, especially for high-alcohol levels. The increase in scattering and optical aberrations was due largely to the deterioration of the tear film before the break-up, since tear structure was altered, resulting in an uneven film. This could result in small areas of the corneal epithelium being exposed, which is a rough surface compared to the entire tear-film surface, thereby augmenting the wavefront aberrations [28] and scattering and therefore deteriorating the retinal-image quality. Furthermore, our objective data showed a deterioration in the optical quality after alcohol consumption, especially for the high-BrAC group, for which optical aberrations and scattered light through ocular media deteriorated the optical quality of the eye, resulting in a worsened retinal-image. This negative effect depends on the tear film, as discussed, and also on the pupil size, so that the larger the pupil size, the worse the retinal-image quality, because the light penetrates the greater volume of ocular medium, increasing optical aberrations of the eye and intraocular scattering.

With respect to gender, the results for optical quality proved similar for males and females, with no significant differences between groups, as reflected in other studies [22]. The deterioration of this ocular parameter after alcohol intake is not affected by gender, either. For visual performance, there were no differences between genders for the VDI means, nor before or after alcohol intake. On evaluating the deterioration of visual discrimination capacity, we found no significant differences, either, between genders, although such deterioration was higher in the female group, both considering all the participants, as well as in terms of the BrAC classification. These results could be due to the fact that the female group also reached an average BrAC value that was slightly higher than in the male group, although this result would also be consistent with other authors who have found greater alcohol impairment in women in different behavioral tests, such as simulated driving performance, motor coordination, speed of information processing, and information-processing capacity [29]. Although in this work the differences between males and females were not significant, it would be helpful to make broader studies to evaluate such differences, for example, taking into account biometric aspects, such as the BMI (Body Mass Index), and controlling not only for the breath alcohol content of each participant but also for the amount of alcohol consumed.

The present work offers useful results for society and public health, given that it evaluates visual performance and ocular optical-quality before and after alcohol intake. These results could be taken into considerations in such fields as driving, where it is of vital importance to evaluate the visual abilities of the subject, especially under night-time conditions, where physiological changes and visual alterations occur. Our results show that the parameters and visual test performed here could be used to evaluate the visual state of subjects, providing useful information for evaluating the visual capacities, a very important aspect in getting and renewing a driver’s license, where visual functions such as visual acuity do not completely evaluate the visual state of the subject.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper and that they have no proprietary interest in any of the materials mentioned in this paper.

Acknowledgments

The authors thank Subsector de Tráfico de la Guardia Civil (Granada, Spain) for lending them the Alcotest breath analyser and Pago de Almaraes wineries for donating the wine used in the studio (Pago De Almaraes wineries, Benalúa de Guadix, Granada, Spain). They also thank David Nesbitt for translating the text into English. This work was supported by Junta de Andalucía, Spain, Grant P07-FQM-02663. Article processing charges of this article has been funded by the FQM-151 Research Group (University of Granada, Spain).

References

  1. J. R. Jiménez, C. Ortiz, F. Pérez-Ocón, and R. Jiménez, “Optical image quality and visual performance for patients with keratitis,” Cornea, vol. 28, no. 7, pp. 783–788, 2009. View at Publisher · View at Google Scholar
  2. C. Ortiz, J. R. Jiménez, F. Pérez-Ocn, J. J. Castro, and R. Gonzlez-Anera, “Retinal-image quality and contrast-sensitivity function in age-related macular degeneration,” Current Eye Research, vol. 35, no. 8, pp. 757–761, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. R. G. Anera, J. J. Castro, J. R. Jiménez, C. Villa, and A. Alarcón, “Optical quality and visual discrimination capacity after myopic LASIK with a standard and aspheric ablation profile,” Journal of Refractive Surgery, vol. 27, no. 8, pp. 597–601, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. T. Oshika, T. Tokunaga, T. Samejima, K. Miyata, K. Kawana, and Y. Kaji, “Influence of pupil diameter on the relation between ocular higher-order aberration and contrast sensitivity after laser in situ keratomileusis,” Investigative Ophthalmology and Visual Science, vol. 47, no. 4, pp. 1334–1338, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. R. Fan, T. He, Y. Qiu, Y. L. Di, S. Y. Xu, and Y. Y. Li, “Comparison of wavefront aberrations under cycloplegic, scotopic and photopic conditions using WaveScan,” Arquivos Brasileiros de Oftalmologia, vol. 75, no. 2, pp. 116–121, 2012. View at Publisher · View at Google Scholar
  6. J. J. Castro, J. R. Jiménez, C. Ortiz, A. Alarcn, and R. G. Anera, “New testing software for quantifying discrimination capacity in subjects with ocular pathologies,” Journal of Biomedical Optics, vol. 16, no. 1, Article ID 015001, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. B. Brown, A. J. Adams, G. Haegerstrom-Portnoy, R. T. Jones, and M. C. Flom, “Effects of alcohol and marijuana on dynamic visual acuity: I. Threshold measurements,” Perception & Psychophysics, vol. 18, no. 6, pp. 441–446, 1975. View at Google Scholar · View at Scopus
  8. R. G. Watten and I. Lie, “Visual functions and acute ingestion of alcohol,” Ophthalmic and Physiological Optics, vol. 16, no. 6, pp. 460–466, 1996. View at Publisher · View at Google Scholar · View at Scopus
  9. A. J. Allen, S. A. Meda, P. Skudlarski et al., “Effects of alcohol on performance on a distraction task during simulated driving,” Alcoholism: Clinical and Experimental Research, vol. 33, no. 4, pp. 617–625, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Peden, R. Scurfiled, D. Sleet et al., World Report on Road Traffic Injury Prevention, World Health Organization, Geneva, Switzerland, 2007.
  11. World Health Organization, Global Status Report on Road Safety: Time for Action, Department of Violence and Injury Prevention and Disability, World Health Organization, Geneva, Switzerland, 2009.
  12. A. J. Adams, B. Brown, and M. C. Flom, “Alcohol induced changes in contrast sensitivity following high intensity light exposure,” Perception & Psychophysics, vol. 19, no. 3, pp. 219–225, 1976. View at Google Scholar · View at Scopus
  13. R. J. Miller, R. G. Pigion, and M. Takahama, “The effects of ingested alcohol on accommodative, fusional, and dark vergence,” Perception & Psychophysics, vol. 39, no. 1, pp. 25–31, 1986. View at Google Scholar · View at Scopus
  14. J. H. Kim, J. H. Kim, W. H. Nam et al., “Oral alcohol administration disturbs tear film and ocular surface,” Ophthalmology, vol. 119, no. 5, pp. 965–971, 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. S. S. Arora, M. Vatsa, R. Singh, and A. Jain, “Iris recognition under alcohol Influence: a preliminary study,” in Proceedings of the 5th IAPR International Conference on Biometrics (ICB '12), pp. 336–341, New Delhi, India, March 2012. View at Publisher · View at Google Scholar
  16. K. A. Gibb, A. S. Yee, C. C. Johnston, S. D. Martin, and R. M. Nowak, “Accuracy and usefulness of a breath alcohol analyzer,” Annals of Emergency Medicine, vol. 13, no. 7, pp. 516–520, 1984. View at Google Scholar · View at Scopus
  17. F. Díaz-Doutón, A. Benito, J. Pujol, M. Arjona, J. L. Güell, and P. Artal, “Comparison of the retinal image quality with a Hartmann-Shack wavefront sensor and a double-pass instrument,” Investigative Ophthalmology and Visual Science, vol. 47, no. 4, pp. 1710–1716, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. J. L. Güell, J. Pujol, M. Arjona, F. Diaz-Douton, and P. Artal, “Optical quality analysis system: instrument for objective clinical evaluation of ocular optical quality,” Journal of Cataract and Refractive Surgery, vol. 30, no. 7, pp. 1598–1599, 2004. View at Publisher · View at Google Scholar · View at Scopus
  19. M. Vilaseca, M. J. Romero, M. Arjona et al., “Grading nuclear, cortical and posterior subcapsular cataracts using an objective scatter index measured with a double-pass system,” The British Journal of Ophthalmology, vol. 96, no. 9, pp. 1204–1210, 2012. View at Publisher · View at Google Scholar
  20. A. Saad, M. Saab, and D. Gatinel, “Repeatability of measurements with a double-pass system,” Journal of Cataract and Refractive Surgery, vol. 36, no. 1, pp. 28–33, 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. M. Vilaseca, E. Peris, J. Pujol, R. Borras, and M. Arjona, “Intra- and intersession repeatability of a double-pass instrument,” Optometry & Vision Science, vol. 87, no. 9, pp. 675–681, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. J. A. Martínez-Roda, M. Vilaseca, J. C. Ondategui et al., “Optical quality and intraocular scattering in a healthy young population,” Clinical and Experimental Optometry, vol. 94, no. 2, pp. 223–229, 2011. View at Publisher · View at Google Scholar · View at Scopus
  23. R. Montés-Micó, A. Cerviño, T. Ferrer-Blasco, S. García-Lázaro, and D. Madrid-Costa, “The tear film and the optical quality of the eye,” The Ocular Surface, vol. 8, no. 4, pp. 185–192, 2010. View at Google Scholar
  24. C. Ortiz, J. J. Castro, A. Alarcón, M. Soler, and R. G. Anera, “Quantifying age-related differences in visual-discrimination capacity: drivers with and without visual impairment,” Applied Ergonomics, vol. 44, no. 4, pp. 523–531, 2013. View at Publisher · View at Google Scholar
  25. H. Campbell, M. J. Doughty, G. Heron, and R. G. Ackerley, “Influence of chronic alcohol abuse and ensuing forced abstinence on static subjective accommodation function in humans,” Ophthalmic and Physiological Optics, vol. 21, no. 3, pp. 197–205, 2001. View at Publisher · View at Google Scholar · View at Scopus
  26. J. Glaister, A Text-Book of Medical Jurisprudence and Toxicology, W. Wood and Company, New York, NY, USA, 4th edition, 1921.
  27. B. Brown, A. J. Adams, G. Haegerstrom-Portnoy, R. T. Jones, and M. C. Flom, “Pupil size after use of marijuana and alcohol,” American Journal of Ophthalmology, vol. 83, no. 3, pp. 350–354, 1977. View at Google Scholar · View at Scopus
  28. N. L. Himebaugh, J. Nam, A. Bradley, H. Liu, L. N. Thibos, and C. G. Begley, “Scale and spatial distribution of aberrations associated with tear breakup,” Optometry & Vision Science, vol. 89, no. 11, pp. 1590–1600, 2012. View at Publisher · View at Google Scholar
  29. M. A. Miller, J. Weafer, and M. T. Fillmore, “Gender differences in alcohol impairment of simulated driving performance and driving-related skills,” Alcohol & Alcoholism, vol. 44, no. 6, pp. 586–593, 2009. View at Publisher · View at Google Scholar · View at Scopus