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Visuospatial attention at high altitude in two ethnically distinct groups of soldiers
*Corresponding author: Debojyoti Bhattacharyya, Department of Ergonomics, Defense Institute of Physiology and Allied Science, Defence Research and Development Organization, New Delhi, India. rajdeb8206@gmail.com
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Received: ,
Accepted: ,
How to cite this article: Bhattacharyya D, Ray K, Kishore K, Vats P, Sartmyrzaeva M, Akunov A, et al. Visuospatial attention at high altitude in two ethnically distinct groups of soldiers. Indian J Physiol Pharmacol. 2024;68:265-74. doi: 10.25259/IJPP_421_2023
Abstract
Objectives:
For strategic purposes, soldiers of different ethnicities are deployed in high-altitude (HA) areas from time to time. During their operations, hypoxia may influence visuospatial attention. Therefore, assessment of visuospatial attention is of paramount importance during HA tenure.
Materials and Methods:
Two distinct ethnic groups, composed of Indian and Kyrgyz lowland soldiers, were ascended to 3,200 m to assess visuospatial attention. Visual search experiments were conducted for a target in the presence of distractors while simultaneously recording the eye movements. The target present correct reaction time (RTP), target absent correct reaction time (RTA), slopes and intercept of reaction time X set size, fixation duration and saccade latency were measured at baseline, as well as on days 3, 7, 14 and 21 of the HA stay and day 3 of the return from HA.
Results:
At HA, most of the parameters were significantly changed. Kyrgyz soldiers had higher RTP (e.g. 2179.99 ± 992.21ms for Indian, and 2641.78 ± 142.28 ms for Kyrgyz, with 12 set size, on day 3 at HA) and RTA values, as well as a higher intercept of the visual search than Indian soldiers. Kyrgyz soldiers had higher fixation duration (e.g. 291.75 ± 7.40 ms for Indians, and 303.78 ± 18.93 ms for Kyrgyz, with 16 set size, on Day 3 at HA) and saccade latency (e.g. 326.21 ± 34.88 ms for Indian, and 356.67 ± 67.48 ms for Kyrgyz, with 12 set size, on day 3 at HA) values than Indian soldiers from day 3 onward.
Conclusion:
The task performance of Indian soldiers improved after day 3 at HA, whereas Kyrgyz soldiers struggled to adapt throughout their stay. The ethnogenetic diversity, life experience variables and demographic characteristics of Indian and Kyrgyz soldiers could all be contributing causes to differences in their visuospatial attention. The hypobaric and hypoxic environment further interacted with all these variations.
Keywords
Hypoxia
Acclimatisation
Visual search
Eye movement
Reaction time
INTRODUCTION
Many nations have a strategic requirement for the deployment of armed forces at high altitudes (HAs). The soldiers are typically lowland indigenous who have ascended to HA from sea level. Soldiers must be vigilant and cognitively active in such scenarios to make the best decision for the situation. Acclimatisation is therefore crucial following ascent to HA for optimal physical and mental performance in a low barometric pressure environment. Among the various domains of cognitive performance, visuospatial attention and reaction time are critical for soldiers to identify the spatial details of potential threats and respond appropriately as quickly as possible.[1-4] Therefore, it is imperative to assess the soldiers’ cognitive performance during every stage of an expedition to HAs.
Previous research found ethnic differences in cognitive performance.[5] Boivin (1991)[6] found that Scottish children outperformed Zairian children on the visual-spatial task. Non-Hispanic white elderly performed better than Mexican Americans across a battery of screening tests based on the functionality of the domains associated with frontal/executive parts.[7] However, none of the aforementioned investigations looked into how ethnic diversity and HA interacted.[8] Compared the cognitive performance of highlanders and lowlanders with similar socioeconomic and genetic ancestry across the lifespan in a sample ranging in age from 4 to 84 years. They found that highlanders were consistently slower than lowlanders in processing speed while performing tasks for memory components (Quality of Episodic Secondary Memory, Quality of Working Memory and speed of memory), attention (speed and accuracy) and psychomotor speed (simple motor speed and cognitive, psychomotor speed). Ethnogenetic analysis revealed that highlanders had a slightly higher percentage of native Andean ancestry than low-altitude participants, which was not associated with cognitive performance Yu et al. (2022).[9] Investigated the cognitive performance among two groups of Tibetan highlanders and Han lowlanders from different socioeconomic backgrounds in relation to changes in cerebral oxygenation. Tibetan highlanders had significantly lower cognitive scores than Han lowlanders, and cognitive scores were significantly correlated with gross domestic product rather than altitude.
Visual search experiments represent the established method for investigating visuospatial attention, wherein individuals locate a target amid various distractors. Response time is documented based on the target’s presence or absence, revealing a search slope that indicates the efficiency of the search process, influenced by the number of distractors and set size. The conventional way to register response time is by pressing the key on the keyboard/or clicking the mouse/or touching the screen, as soon as the participant sees the target or decides that the target is absent.[10-13] Set size refers to the total number of visual stimuli that appear on the screen. Eye movement recording has already proven useful in interpreting visuospatial attention, which is concerned with the visual search for a target.[14,15] Soldiers from various ethnic backgrounds are required to collaborate together in a variety of critical situations, which may take place at HA. Many factors may impact the decision-making process of joint operations. Therefore, in the present study, visuospatial attention was assessed by a simple visual search task with a simultaneous recording of eye movement activities between two different ethnic groups (Indian and Kyrgyz soldiers) from different geographical locations. Evaluations were conducted under similar conditions of HA exposure. Ethnically Indians are mixed of Indo-Aryan and Dravidian; on the other hand, the Kyrgyz population is a combination of Huns and Mongolians.
MATERIALS AND METHODS
Subjects and study protocol
The minimum sample size identified for the statistical analysis was 15 from each group with an effect size of f = 0.25 (this indicates a medium effect) and power, b = 0.95. However, due to certain logistics and administrative issues, we could only recruit 10 participants from each group. Therefore, the study was conducted on 20 participants (ten Indian [Age – 23.11 ± 2.0 years, height – 173 ± 3.0 cm, weight – 66.15 ± 5.17 kg and body mass index (BMI) – 22 ± 1.81 kg/m2] and ten Kyrgyz [Age – 20.60 ± 3.0 years, height – 176.10 ± 4.0 cm, weight – 72 ± 6 kg and BMI – 23 ± 1.60 kg/m2] soldiers) with an educational qualification of higher secondary level. All participants were lowlanders with no history of HA exposure, 6/6 visual acuity without corrective lenses and no recent eye infection, history of eye surgery or discomfort or pain in the eyes while using digital display media. The term ‘lowlanders’ essentially depicts the natives of the sea levels. The average terrestrial elevation of Indian lowlanders and Kyrgyz lowlanders is 235 m. and 800 m, respectively. The participants did not undergo any altitude training. They provided informed consent to participate in the study. The study protocol was approved by the Institutional Ethics Committee on the use of humans as the experimental subjects and the experiment conforms to the principles outlined by the deceleration of the Helsinki protocol. Indian soldiers were flown to Bishkek, Kyrgyzstan, by 4 h of a direct flight. There is a time difference of half an hour between India and Kyrgyzstan (the Kyrgyz time zone is advanced by half an hour). To counteract the effects of jet lag (if any), baseline recording was carried out on day 3 at Bishkek (800 m above sea level) in both Indian and Kyrgyz soldiers, and both groups of soldiers were then ascended by road to HA, Tuya Ashu (3,200 m above sea level) by road. After a stay of 21 days, soldiers were returned to Bishkek, where the study was conducted on day 3 [Figure 1]. Atmospheric temperature was ranging from 28°C to35°C at Bishkek and from 9°C to 25°C at Tuya Ashu, whereas inside the rooms, the temperature was maintained at 22°C ± 2°C.
Saturation of peripheral oxygen (SpO2) was measured using a finger pulse oximeter (Model No. 3230, M/s, Nonin Medical, Inc.).
Visual search tasks
Based on the principles outlined by Wolfe (2010)[10] and Wolfe (2015),[16] a visual search task was designed in the JavaTM platform in which participants had to search for a target in the presence of many distractors. For the present study, (A circle with a right cut) and (Circle with a left cut) were selected as the stimuli for ‘Target’ and ‘Distractors’, respectively. The ‘Target’ and ‘Distractors’ are mirror images of each other with a minute feature of discretion, which creates a strong conflict in the brain toward accurate identification. Target and distractors had similar dimensions during presentation mode, extending a visual angle of 1.2°–1° for a distance ranging from 60 cm to 70 cm between the screen and the participant’s eye. The opening space of the target and distractors extended a visual angle of 0.6°–0.5° for a distance ranging from 60 cm to 70 cm between the screen and the participant’s eye. With a set size of 12 and 16 stimuli, two types of search displays were generated. There were 1 target and 11 distractors, and 1 target and 15 distractors under 12 and 16 stimuli conditions, respectively. A total of 16 trials were conducted, with eight trials presenting the presence of targets and the remaining eight trials presenting the absence of targets. The stimuli were randomly distributed in the search matrix with a jittering of 100 pixels. The participants were instructed to register their responses by pressing the key ‘F’ in the presence of the target and the key ‘J’ during the absence of the target. The manoeuvre of key pressing had to be accomplished as early as possible, followed by a self-decision on the presence or absence of the target. The ‘target present’ and ‘target absent’ trials appeared randomly, followed by the registering of the responses by pressing a relevant key. The trials started with an eye fixation of 500 ms on a black ‘X’ in the middle of the screen on a white background. Immediately after that, the search matrices started appearing by pressing either key ‘F’ or key ‘J’. The next search matrix appeared with a delay of 3000 ms. The details of the experimental protocol are shown in Figure 2. Both groups of participants received a clear demonstration of the entire procedure of task performance. In the case of Kyrgyz soldiers, the detailed procedure of task performance was first vividly demonstrated to a native senior researcher (who had good proficiency in English) in English. The native senior researcher then instructed and showed the task to their soldiers in the Kyrgyz language, ensuring that they understood how to complete it. Before the start of the main experiment, each participant completed at least three practice sessions to become familiar with the task-performance hardware, software and experimental guidelines.
Recording of eye movements and experimental setup
Volunteers were instructed to put on headset with the eye tracking optics (Sensomotoric Instruments [SMI] iViewX Eye Tracker, M/s SMIs, Germany) ensuring the ease of wearing for an optimum calibration condition. Followed by this ‘5’ point, calibration was performed by standard protocol. The recording software ‘iViewX’ (M/s SMI) was run at a sampling rate of 250 Hz. Stimuli were delivered in a 17-inch Liquid Crystal Display (LCD) monitor (M/s Hewlett-Packard, Model No. L1710) with a 5:4 aspect ratio and 160° × 160° Horizontal × Vertical Viewing Angle. Participants’ chins were supported by a chinrest to stabilise the redundant movement of the head. The illumination level of the experiment room was maintained at 450 lux. Recording started with the onset of the search task and stopped immediately with the termination of all search trials. The recorded files of eye movement data were analysed in ‘BeGaze’ software (M/s SMI).
Parameters
The correct reaction time of ‘target present’ (RTP) and reaction time of ‘target absent’ (RTA) were registered at the end of each trial for individual soldiers. Slopes (search efficiency), that is, time spent/item and intercepts of the visual search, were calculated from ‘set size 12’ to ‘set size 16’ for all the experimental sessions. In the case of eye movement parameters, average fixation duration (AFD) and saccade latency were considered to interpret the visuospatial attention while performing the visual search.
Statistical analysis
All the parameters were checked for normal distribution by Shapiro–Wilk test. A two-way mixed-design analysis of variance (ANOVA) was conducted to observe any significant effect of experimental independent variables on the dependent variables. The between-measure independent factor was the group of soldiers, that is Indian and Kyrgyz soldiers. There were two within-measure independent factors, (1) various days of experiments (DE), that is, Baseline, on day 3 (Day 3 at HA [HA_D3]), day 7 (Day 7 at HA [HA_D7]), day 14 (Day 14 at HA [HA_D14]) and day 21 (Day 21 at HA [HA_D21]) at HA and return from HA, and (2) set size, that is 12 stimuli and 16 stimuli at which both groups of soldiers were repeatedly measured. The individual and interaction effects of independent variables were observed on the dependent variables’ fixation duration and saccade latency. In the case of reaction time, there was another within-measure independent factor, that is, Target present/absent. Bonferroni post hoc test was also applied to compare the individual pairs followed by the overall significant effect of an independent variable. A Two-sample t-test (Assuming Unequal Variances) was also carried out to observe the significance difference between Indian and Kyrgyz soldiers of mean changes for all the variables at baseline. All the tests were conducted on the Statistical Package for the Social Sciences (Version 16). The significance of the test was confirmed when P ≤ 0.05.
RESULTS
Results of Shapiro–Wilk’s test revealed that 75% of the dependent variables are normally distributed (P > 0.05), and the remaining 25% showed very close to significance (≈P > 0.05) level. Values are graphically presented as mean ± standard error of the mean.
Reaction time
There was no significant difference for RTP under set size 12 (t18 = 1.80, P = 0.087) and 16 (t15 = 1.32, P = 0.206) at baseline, respectively. Similarly, in the case of RTA, the difference was found non-significant under set size 12 (t18 = 1.51, P = 0.147). Whereas, under 16 set size conditions, the mean difference in RTA was found significant (t16 = 3.11, P = 0.006) at baseline. Results [Table 1] of mixed-design ANOVA revealed an overall significant effect of DE (F[3.78,64.56] = 68, P < 0.05), set size (F[1,17] = 26.20, P < 0.05) and presence/absence of target (F[1,17] =104.71, P < 0.05) on reaction time of visual search. Interaction effects of DE X set size (F[2.47,42.05] =19.12, P < 0.05), DE X Target (F[2.20,37.41] =12.50, P < 0.05) also produced significant effects on reaction time. When the ethnicity interacted with DE, that is, DE X Group (F[5,85] = 7.20, P < 0.05) and the presence/absence of target, that is, Target X Group (F[1,17] = 7.50, P < 0.05) significant effects were observed on reaction time.
F-value | df | P-value | |
---|---|---|---|
DE | 67.99* | 3.78, 64.56 | 0.000 |
Set size | 26.20* | 1, 17 | 0.000 |
Target | 104.71* | 1, 17 | 0.000 |
DE×Set size | 19.12* | 2.47, 42.05 | 0.000 |
DE×Target | 12.50* | 2.20, 37.41 | 0.000 |
Set size×Target | 2.16NS | 1, 17 | 0.159 |
DE×Set size×Target | 1.44NS | 3.38, 57.51 | 0.236 |
Group | 2.67NS | 1, 17 | 0.120 |
DE×Group | 7.20* | 5, 85 | 0.000 |
Set size×Group | 0.38NS | 1, 17 | 0.54 |
Target×Group | 7.50* | 1, 17 | 0.014 |
DE×Set size×Group | 0.781NS | 5, 85 | 0.56 |
DE×Target×Group | 1.53NS | 5, 85 | 0.187 |
Set size×Target×Group | 0.005NS | 1, 17 | 0.94 |
DE×Set size×Target×Group | 0.29NS | 5, 85 | 0.91 |
In the present study, it was observed that target present slopes ranged from 54 to 440 ms/item [Table 2] in both groups of soldiers, irrespective of DEs. The same fact is observed in the case of target-absent slopes, which range from 430 to 1131 ms/item [Table 2]. Graphical presentation of the slope of reaction time X set size function revealed slight steepness during target-present and target-absent trials, with a negative slope in HA_D3 in both Indian and Kyrgyz soldiers ([Figures 3 and 4], except for Kyrgyz soldiers during target-absent trials). The details of pair wise comparison has been reported in Table 3 by conducting Bonferroni post hoc analysis.
Condition | Participants | Target present | Target absent | ||
---|---|---|---|---|---|
Slope (ms/Item) | Intercept (ms) | Slope (ms/Item) | Intercept (ms) | ||
Baseline | Indian | 292.80 | 1091 | 594.40 | 1910 |
Kyrgyz | 433.60 | 1093 | 1131.00 | 2395 | |
HA_D3 | Indian | -178.10 | 2358 | -430.00 | 4448 |
Kyrgyz | -102.30 | 2744 | 491.20 | 4547 | |
HA_D7 | Indian | 54.56 | 1257 | 791.70 | 1582 |
Kyrgyz | 440.30 | 900 | 706.40 | 2249 | |
HA_D14 | Indian | 104.40 | 1191 | 540.00 | 1745 |
Kyrgyz | 197.10 | 1146 | 773.50 | 2129 | |
HA_D21 | Indian | 113.40 | 1186 | 471.00 | 1608 |
Kyrgyz | 281.20 | 872 | 587.70 | 2423 | |
Return from high altitude | Indian | 56.89 | 1278 | 592.40 | 1591 |
Kyrgyz | 95.00 | 1231 | 531.10 | 2431 |
Individual pair of days of experiment | Level of significance |
---|---|
BL versus Day_03 | 0.000 |
BL versus Day_07 | 0.000 |
BL versus Day_14 | 0.007 |
BL versus Day_21 | 0.009 |
BL versus RFH | 0.000 |
Day_03 versus Day_07 | 1.000 |
Day_03 versus Day_14 | 0.000 |
Day_03 versus Day_21 | 0.000 |
Day_03 versus RFH | 0.036 |
Day_07 versus Day_14 | 0.000 |
Day_07 versus Day_21 | 0.000 |
Day_07 versus RFH | 0.001 |
Day_14 versus Day_21 | 0.000 |
Day_14 versus RFH | 0.000 |
Day_21 versus RFH | 0.304 |
Average Fixation Duration (AFD)
The mean difference in AFD was neither found to be significant under the 12 set size (t14 = 1.41, P = 0.180) nor under the 16 set size (t16 = 0.68, P = 0.504) at baseline. DE produced a significant effect (F[2.63,44.75] = 6.18, P < 0.05) on the changes in fixation duration [Table 4]. Interaction between DE X set size imposed a significant effect (F[5,85] = 1.16, P < 0.05) on fixation duration. When Group separately interacted with DE, that is, DE X Group, significant effect was observed (F[5,85] = 2.76, P < 0.05). The details of pair wise comparison has been reported in Table 5 by conducting Bonferroni post hoc analysis
Average fixation duration | Saccade latency | |||||
---|---|---|---|---|---|---|
F value | df | P value | F value | df | P value | |
DE | 6.183* | 2.63, 44.75 | 0.002 | 5.14* | 4.19, 71.23 | 0.001 |
Set size | 4.37NS | 1,17 | 0.052 | 0.67NS | 1,17 | 0.42 |
DE X Set size | 1.165* | 5, 85 | 0.030 | 0.45NS | 5,85 | 0.80 |
Group | 1.45NS | 1,17 | 0.244 | 11.00* | 1,17 | 0.004 |
DE X Group | 2.76* | 5,85 | 0.023 | 2.55* | 5,85 | 0.033 |
Set size X Group | 0.54NS | 1,17 | 0.47 | 2.09NS | 1,17 | 0.166 |
DE X Set size X Group | 1.16NS | 5,85 | 0.33 | 0.67NS | 5,85 | 0.64 |
Individual pair of Days of Experiment | Level of Significance |
---|---|
BL versus Day_03 | 0.729 |
BL versus Day_07 | 1.000 |
BL versus Day_14 | 0.174 |
BL versus Day_21 | 0.013 |
BL versus RFH | 0.102 |
Day_03 versus Day_07 | 0.488 |
Day_03 versus Day_14 | 1.000 |
Day_03 versus Day_21 | 0.072 |
Day_03 versus RFH | 1.000 |
Day_07 versus Day_14 | 1.000 |
Day_07 versus Day_21 | 0.009 |
Day_07 versus RFH | 0.000 |
Day_14 versus Day_21 | 0.335 |
Day_14 versus RFH | 1.000 |
Day_21 versus RFH | 0.972 |
Saccade latency
No significant changes were observed in saccade latency, neither under 12 set size (t12 = 0.19, P = 0.851) nor under 16 set size (t13 = 0.01, P = 0.984) at baseline. DE produced a significant effect (F[4.19,71.33] = 5.14, P < 0.05) on the changes in saccade latency [Table 4]. The individual effect between group factors was found significant (F[1,17] = 11.00, P < 0.05). When the group interacted with DE, that is, DE X Group a significant effect was observed (F[5,85] = 2.55, P < 0.05). The details of pair wise comparison has been reported in Table 6 by conducting Bonferroni post hoc analysis.
Individual pair of days of experiment | Level of significance |
---|---|
BL versus Day_03 | 1.000 |
BL versus Day_07 | 1.000 |
BL versus Day_14 | 1.000 |
BL versus Day_21 | 0.022 |
BL versus RFH | 1.000 |
Day_03 versus Day_07 | 0.138 |
Day_03 versus Day_14 | 1.000 |
Day_03 versus Day_21 | 0.009 |
Day_03 versus RFH | 1.000 |
Day_07 versus Day_14 | 0.491 |
Day_07 versus Day_21 | 0.003 |
Day_07 versus RFH | 0.058 |
Day_14 versus Day_21 | 0.340 |
Day_14 versus RFH | 1.000 |
Day_21 versus RFH | 0.815 |
Arterial oxygen saturation
Results of repeated measure ANOVA revealed significant changes (F[4,45] = 39.97, P < 0.05) in SpO2 in Kyrgyz soldiers. SpO2 was significantly decreased after 3 days (96 ± 0.88; P < 0.001) of ascent to HA than baseline (baseline, 98 ± 0.16). On days 7 and 14, SpO2 remained the same as on day 3, 96 ± 0.40 (P < 0.001 than baseline) and 96 ± 0.86 (P < 0.01 than baseline), respectively, which further increased to 97 ± 0.65 on day 21 (P < 0.05 than baseline) on days. In Indian, soldiers significant changes (F[4,45] = 24.9, P < 0.05) were also observed. SpO2 was significantly decreased after 3 days (96 ± 0.73; P < 0.001) of ascent to HA than baseline (98 ± 0.16). On days 7, 14 and 21, SpO2 remained the same as on day 3, 96 ± 0.90 (P < 0.01 than baseline), 96 ± 1.08 (P < 0.01 than baseline) and 96 ± 1.08 (P < 0.01 than baseline), respectively.
DISCUSSION
The findings of the study indicate that visuospatial attention is influenced by ethnic variability during the process of acclimatisation following acute exposure to 3,200 m. The RTP and RTA showed a similar pattern of changes during exposure to HA in both groups of soldiers [Figure 5]. It indicated that on HA_D3, the ongoing cognitive acclimatisation in the domain of visuospatial attention imposes difficulty in judging the presence or absence of the target, which improved with the progression of the acclimatisation process. Higher values of RTP and RTA were observed for Kyrgyz soldiers under both set size conditions throughout various DE compared to Indian soldiers, revealing that Kyrgyz soldiers encountered a slowdown in cognitive processing during visual search. Furthermore, an interaction effect of DE X Group and Target X Group causes significant changes in reaction time, indicating a distinct ethnic component in visuospatial attention [Table 1].
The slope of the reaction time X set size function reflects the search efficiency, that is ms/items, deploying serial attention from item to item.[17] Literature depicts that target-present slopes of 20–40 ms/item range represent an inefficient range.[18] The target present and target absent slopes [Table 3] indicated a thorough search across various DEs which also demanded attention. Results of reaction time X set size indicate a decline in search efficiency on day 3 of HA exposure during the acclimatisation process [Figures 3 and 4]. The intercept reflects sensory processing, decision-making, and motor response.[19] The intercept, that is decision-making by key pressing, took longer time at HA compared to baseline in both groups of soldiers (except for target-present trials in Kyrgyz on HA_D7 and HA_D21) [Table 1]. Decision-making on target absence took more time than for the target present. A higher intercept value (except on HA_D7 and HA_D21 for the target present) throughout the DEs in Kyrgyz soldiers indicated an overall delay in sensory processing, decision-making, and motor response than in Indian soldiers.
Fixation duration and saccade latency provide a quantitative measure of brain function and are considered more robust and reproducible than neuropsychological testing.[20,21] In Indian soldiers, changes in fixation duration and saccade latency showed a similar pattern during exposure to HA which increased on HA_D3; thereafter, a gradual decrease till HA_D14, again an increase on HA_D21 and finally returned to very close to baseline values [Figure 6]. Therefore, it can be postulated that for Indian soldiers, visuospatial attention got acclimatised with a synchronised pattern of changes in fixation duration and saccade latency from HA_D3 onward. In Kyrgyz soldiers, changes in fixation duration and saccade latency also showed similar patterns during exposure to HA which first increased on HA_D3, decreased on HA_D7, and then progressively increased until they returned to baseline [Figure 6]. Thus, in the case of Kyrgyz soldiers, visuospatial attention did not level off till day 21 at HA. Therefore, it can be depicted that acclimatisation of visuospatial attention in association with fixation duration and saccade latency might require more than a period of 21 days at 3200 m for Kyrgyz soldiers. Thus, the effect of HA exposure might have persisted till day 3 on return to baseline. The decrease in fixation duration and saccade latency on HA_D7 may be explained as an increased cognitive effort to cope with the demand of the task, which might not succeed on the successive DEs where the effect of HA or task difficulty and/or a combination of both took the upper hand. Higher values of fixation duration and saccade latency in Kyrgyz soldiers reflect slow processing after fixing an object and consequent delay in initiating saccade.
Although both groups of soldiers maintained a good level of peripheral oxygen saturation, that is 96–97% on exposure to 3,200 m, a delay was observed in RTP, RTA, fixation duration, and saccade latency compared to baseline in both groups of participants. This might be due to the difference that exists between peripheral and cerebral saturation.[22] Observed that although the peripheral saturation improved from day 2 (81.2%) to day 7 (85.9%), the cerebral saturation continued to decline from day 2 (65.4%) to day 7 (62.9%) on exposure to 4,559 m. Thus, poor cerebral saturation may cause a delay in the cognitive processing of visuospatial attention. Besides this, other studies reported impairment in hand-eye coordination even for the well-known task at 3,048 m.[23,24]
Ray et al., 2019 reported a decrease in cognitive performance in Kyrgyz soldiers than in Indian soldiers followed by an acute exposure at 4,111 m for 21 days.[25] There are other studies where it is also observed that Indians and Kyrgyz have shown different patterns of acclimatisation in the domain of cardiorespiratory,[26-28] body composition,[29] haematological[27] and global gene expression profile changes.[30] Therefore, it can be stated that there may be a strong influence of ethnogenetic factors which result in a wide range of physiological and cognitive variabilities between these two groups.
Limitations of the study
The present study was limited by several factors, which could be improved in future research. A lower statistical power may be expected due to the small sample size. Initiation of the assessment earlier, for example immediately after 24 h of arrival at HA may also be helpful for stronger interpretation. Integration of more advanced neurological techniques such as electroencephalogram and functional magnetic resonance imaging-based imaging will be of immense guidance to demarcate the task-specific activation of the cortical regions. Hence, future studies may be directed at exploring the effects of other variants of visual search such as conjunction search, more set sizes, and an earlier onset of experiments at HA involving a larger sample. Furthermore, a detailed socioeconomic and ethnogenetic profiling of both groups will also be considered critically for future investigations.
CONCLUSION
A prominent impact of the ethnicity factor was observed when the task performance of Indian soldiers got acclimatised from day 3 onward at HA and Kyrgyz soldiers were found to struggle to acclimatise throughout the residency period at HA. This was further confirmed by increased values of RTP, RTA, an intercept of reaction time X set size function, fixation duration, and saccade latency. Besides, the effect of acute exposure, there may be a contribution of demographics and geographic factors in this process. However, this generalization of the result is strictly attributed to this cohort of the studied groups.
Authors’ contributions
DB: Concept generation, preparation of study protocol, data collection, analysis, and draft writing; KR: Concept generation and data collection; KK, PV, MS, and AA: Day-wise data collection; AM and AS: Finalisation of the draft.
Ethical approval
The study protocol was approved by the Institutional Ethics Committee on the use of humans as experimental subjects. Ethical approval number is IEC/DIPAS/D-9/2.
Declaration of patient consent
The authors certify that they have obtained all appropriate patient consent.
Conflicts of interest
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
Financial support and sponsorship
The study was funded by the Defence Research and Development Organisation (DRDO), India.
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