Journal List > J Korean Med Sci > v.37(29) > 1516078947

Park, Park, Han, Sung, and Kim: Association of Depression With Susceptibility and Adaptation to Seasickness in the Military Seafarers

Abstract

Background

Although depression and motion sickness are prevalent in military personnel and seafarers, the association between depression and seasickness has been not yet elucidated. We aimed to evaluate the relationship of depression with initial susceptibility and adaptation to seasickness amongst military seafarers.

Methods

This retrospective cohort enrolled Navy seafarers who started seafaring between 2017 and 2019. Three groups were established according to the Beck Depression Inventory (BDI) score: no depression (BDI score of 0), minimal depression (BDI score 1–9), and mild-to-moderate depression (BDI score 10–29). The occurrence of seasickness requiring treatment was observed as the prescription of medication for the first 30 distant seafaring days. Considering adjustment period, the two different outcomes were defined. The susceptibility to seasickness was evaluated via at least one day suffered from seasickness requiring treatment during the early period (the first 5 seafaring days), and adaptation ability to seasickness was defined by more than 10% of the ratio, calculated days suffered from seasickness requiring treatment/days of seafaring during the late period (the 6–30th seafaring days). Binary logistic regression was further evaluated to estimate the odds of BDI groups and BDI score adjusted for age and workplace whether outside visual perception was possible.

Results

Among the 185 recruits, 179 participants (97%) sailed for more than 5 days were included in the study. Of the participants, 36% was susceptible to seasickness in the early and 17% was poorly adapted to seasickness in the late period. Multivariable model revealed that mild-to-moderate depression had elevated risk of poor adaptation (odds ratio [OR], 4.63; 95% confidence interval [CI], 1.31–16.98) whereas the results were not statistically significant for susceptibility to seasickness in the early period BDI score was independently associated with increased odds of poor adaptation (OR, 1.10; 95% CI, 1.04–1.18).

Conclusion

The present study suggests that depression is associated with poor adaptation to seasickness in Navy seafarers. Depression screening tool might be helpful for providing preventable strategies for population at risk.

Graphical Abstract

jkms-37-e231-abf001.jpg

INTRODUCTION

As serving the military is mandatory in Korea, establishing adequate environments to help enlisted personnel in adapting to the service is an essential national assignment.1 However, it is suggested that the hierarchical structure of military command and obligatory enlistment elevate the occurrence of depression and hinder adapting to the service.23 Furthermore, Navy recruits have several additional risk factors which hamper mental health: harsh climate, noise, deterioration of circadian rhythm, social isolation and less opportunity to get proper medical management.45 In regards to these circumstances, it is not surprising that depression is prevalent in the seafarers, reported up to 25%.67 Moreover, the seafarers have been ranked as one of the occupation with the highest suicide rate.8 Psychologic stress and mental health in the seafarers have become important issues that occupational efficacy and long-term health outcomes are readily affected.910
Almost all ship travelers could have seasickness according to the roughness of waves.11 Motion sickness in the sea could be induced by passive locomotion of the ship inducing intersensory conflict between vestibular and visual pathways.1213 Although seasickness is a physiologic response to the sensory conflict, seasickness substantially affects occupational role and adjustment to seafaring and is thus needed to be managed properly. Considering the importance of depression and seasickness in seafarers; however, the relationship between depression and seasickness has not yet been elucidated. As a depression screening tool is feasible and has been widely applied to assess depression and its relationship with other medical conditions,141516 in this study, we aimed to evaluate the association between depression scale and seasickness in Navy recruits.

METHODS

Study population

The retrospective cohort study included recruits who were firstly designated to a naval ship and never sailed before from July 2017 to March 2019. Among the newcomers, the participants who served less than 5 distant seafaring days were excluded. The ship was 1st class naval ship that sails distant seas. As this study included only those subject to mandatory service, and all participants were male.

Data collection and outcome assessment

On the day of ship boarding, all recruits underwent routine physical examinations for newcomers including diastolic and systolic blood pressure measurement and individual interviews performed by a physician served in the ship’s infirmary. The Beck Depression Inventory (BDI)17 was mandatorily conducted for screening participants with depression before starting the military service. Recruits with BDI score of 10 or more were consulted and referred to a proper psychological management. Information on age and the workplace was obtained. The workplace in the ship was classified into where external visual input is perceptible including deck and bridge of the ship and imperceptible including occupations inside the ship.
The occurrence of seasickness requiring treatment was retrospectively collected. In this study, we collected the medication prescription records for the first 30 distant seafaring days. All members who needed medical consultation or prescription were referred to the physician on board. For patients with seasickness requiring treatment, antihistamine agent (a single dose of dimenhydrinate 50 mg) was prescribed and intermittent resting was guaranteed in the infirmary or individual’s bedroom. When the patient’s symptoms and signs correlated with seasickness, the medication was prescribed if contraindications of antihistamine drug were absent. All patients considered on prescription had no contraindication.
According to the previous literature that adjustment period about several days13 might be needed for seasickness in seafarers, we separately collected the outcome in the first 5 distant seafaring days (early period) and thereafter (6–30th seafaring days, late period). We established two different outcomes to distinguish the initial susceptibility (in the early period) and the adaptation ability to seasickness (in the late period). During the early period, the susceptibility to seasickness was evaluated as whether the participant had at least one prescription. For the late period, we calculated the adaptation ability as the ratio of medication prescription days/seafaring days. We defined poorly adapted individuals as the above-mentioned ratio of more than 10% and well-adapted individuals ≤ 10%. This ratio may be a factor that could significantly hinder occupational performance.

Statistical analysis

The temporal trend of seasickness was plotted with time (day) as a X-axis and the proportion of patients with treatment required seasickness as a Y-axis. The analyzable population was divided into 3 groups according to BDI scores: BDI score of 0 as no depression, BDI score of 1–9 as minimal depression, and BDI score of 10–29 as mild-to-moderate depression.18 Recruit with severe depression (BDI score ≥ 30) was absent amongst included participants. Comparisons of baseline routine examination and outcomes were made using the χ2 test for categorical and analysis of variance for continuous variables. Binary logistic regression models were used for two outcomes. Unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the initial susceptibility of the minimal and mild-to-moderate depression groups with no depression group as a reference (Model 1) and BDI score as a continuous variable (Model 2) were estimated. Furthermore, ORs and 95% CIs were estimated for the adaptation ability. Covariates were predetermined: age and the workplace with external visual perception or not.11 Data were analyzed using R 4.1.3 and a P value < 0.05 was defined statistically significant.

Ethics statement

The study was approved by the Institutional Review Board of Republic of Korea Armed Force Medical Command (AFMC-19063-IRB-19-042). Informed consent was waived.

RESULTS

Baseline characteristics and outcomes

Out of a total 185 newcomers, BDI was assessed in all participants. A total of 179 participants (97%) who served for more than 5 distant seafaring days were analyzed. Median follow-up days of seafaring were 30 days (interquartile range [IQR] 29–30). Among the analyzable population, a total of 318 days of seasickness requiring treatment were observed during the 5,044 seafaring days. The ratio of the seasickness days to seafaring days in the early and late period were on average 13.3% and 6.1%, respectively. The occurrence of treatment requiring seasickness according to seafaring days was described in Fig. 1. Seventy-one participants (39%) were never treated with seasickness. A total of 64 patients (36%) was susceptible to seasickness in the early period. Thirty-one patients (17%) were poorly adapted to seasickness in the late period.
Fig. 1

The occurrence of seasickness requiring treatment among the participants according to days of seafaring.

jkms-37-e231-g001

Depression scale and outcomes

Amongst the population, participants with mild-to-moderate depression were 17 (9.4%) and minimal depression were 112 (61.7%) while no depression were 51 (28.3%). Median of BDI score in the analyzable population was 2 (IQR 0–6). Baseline characteristics according to the BDI score groups were demonstrated in Table 1. Among three groups, the proportions of poor adaptation in the late period were different (41% vs. 15% vs. 14%) that patients with mild-to-moderate depression had the highest rates of poor adaptation. There was no significant difference in the susceptibility in the early period among the groups. Ratio of suffered/seafaring days during the overall period were different that mild-to-moderate depression showed around 14% of days suffered from seasickness.
Table 1

Baseline characteristics according to the depression scale

jkms-37-e231-i001
Characteristics Mild-to-moderate depression (BDI 10–29; n = 17) Minimal depression (BDI 1–9; n = 111) No depression (BDI 0; n = 51) P value
Age, yr 21 (21–22) 21 (21–21) 21 (20–22) 0.959
Male 17 (100) 111 (100) 51 (100) 1.000
Systolic BP, mmHg 122.8 ± 10.1 122.3 ± 11.0 118.4 ± 19.6 0.220
Diastolic BP, mmHg 72.8 ± 9.1 73.4 ± 9.5 71.1 ± 8.5 0.363
Heart rate 74.3 ± 12.6 75.1 ± 10.6 71.5 ± 9.4 0.146
Workplace 0.832
External visual perception (−) 10 (58.8) 73 (65.8) 34 (66.7)
External visual perception (+) 7 (41.2) 38 (34.2) 17 (33.3)
Smoking 0.311
Never smoker 6 (35.3) 48 (43.2) 20 (39.2)
Ex-smoker 1 (5.9) 22 (19.8) 13 (25.5)
Current smoker 10 (58.8) 41 (36.9) 18 (35.3)
Outcomes
Susceptible to seasicknessa 8 (47.1) 38 (34.2) 18 (35.3) 0.588
Poorly adapt to seasicknessb 7 (41.2) 17 (15.3) 7 (13.7) 0.023
Ratio of seasickness/seafaring daysc 14.2 ± 24.2 5.3 ± 9.1 6.2 ± 9.2 0.012
Values are presented as median (interquartile range), number (%) or mean ± standard deviation.
BDI = Beck Depression Inventory, BP = blood pressure.
aThe presence of at least one seasickness requiring treatment during the first 5 distant seafaring.
bThe ratio of seasickness days requiring treatment/seafaring days > 10% during the 6–30 distant seafaring.
cThe ratio of seasickness days requiring treatment/seafaring days during the overall period.
Comparing participants regarding susceptibility to seasickness in the early period, BDI score as a continuous variable and BDI sub-groups were not significantly different (Table 2). However, poorly adapted participants in the late period had a trend of higher BDI score although not statistically significant (median 4, IQR [2–7]) compared to those who are well-adapted (2 [0–5]) (P = 0.055) (Table 3). Proportions of mild-to-moderate depression (22.6%) were higher in the poorly adapted group compared to the well adapted group (6.8%, P = 0.023).
Table 2

Comparing characteristics and BDI depression scores regarding sea-sickness susceptibility in the early period

jkms-37-e231-i002
Characteristics Susceptible to seasicknessa (n = 64) Not susceptible to seasicknessb (n = 115) P value
Age, yr 21 (21–22) 21 (21–22) 0.608
Male 64 (100) 115 (100) 1.000
Systolic BP, mmHg 118.8 ± 18.0 122.6 ± 10.8 0.120
Diastolic BP, mmHg 71.8 ± 10.0 73.2 ± 8.8 0.332
Heart rate 73.6 ± 9.6 74.2 ± 11.1 0.705
Workplace 0.209
External visual perception (−) 38 (59.4) 79 (68.7)
External visual perception (+) 26 (40.6) 36 (31.3)
Smoking 0.213
Never smoker 21 (32.8) 53 (46.1)
Ex-smoker 14 (21.9) 22 (19.1)
Current smoker 29 (45.3) 40 (34.8)
BDI score 3 (0–6) 2 (0–5) 0.308
BDI score group 0.588
No depression 18 (28.1) 33 (28.7)
Minimal depression 38 (59.4) 73 (63.5)
Mild-to-moderate depression 8 (12.5) 9 (7.8)
Values are presented as median (interquartile range), number (%) or mean ± standard deviation.
BDI = Beck Depression Inventory, BP = blood pressure.
aThe presence of at least one seasickness requiring treatment during the first 5 distant seafaring.
bThe absence of at least one seasickness requiring treatment during the first 5 distant seafaring.
Table 3

Comparing characteristics and BDI depression scores regarding adaptation ability to sea sickness in the late period

jkms-37-e231-i003
Characteristics Poorly adapted to seasicknessa (n = 31) Well adapted to seasicknessb (n = 148) P value
Age, yr 21 (21–22) 21 (21–21) 0.108
Male 31 (100) 148 (100) 1.000
Systolic BP, mmHg 120.8 ± 10.3 121.4 ± 14.6 0.805
Diastolic BP, mmHg 72.7 ± 10.5 72.7 ± 9.0 0.976
Heart rate 74.3 ± 12.6 73.9 ± 10.1 0.879
Workplace 0.760
External visual perception (−) 21 (67.7) 96 (64.9)
External visual perception (+) 10 (32.3) 52 (35.1)
Smoking 0.633
Never smoker 11 (35.5) 63 (42.6)
Ex-smoker 8 (25.8) 28 (18.9)
Current smoker 12 (38.7) 57 (38.5)
BDI score 4 (2–7) 2 (0–5) 0.055
BDI score group 0.023
No depression 7 (22.6) 44 (29.7)
Minimal depression 17 (54.8) 94 (63.5)
Mild-to-moderate depression 7 (22.6) 10 (6.8)
Values are presented as median (interquartile range), number (%) or mean ± standard deviation.
BDI = Beck Depression Inventory, BP = blood pressure.
aThe ratio of seasickness days requiring treatment/seafaring days > 10% during the 6–30 distant seafaring.
bThe ratio of seasickness days requiring treatment/seafaring days ≤ 10% during the 6–30 distant seafaring.

Multivariable analysis

In binary logistic regression models, BDI groups and BDI score did not significantly elevate the odds for susceptibility to seasickness in the early period (Table 4). On the other hand, mild-to-moderate depression independently increased the odds for poor adaptation to seasickness in the late period by OR, 4.63 (95% CI, 1.31–16.98). Furthermore, every 1 increment in BDI score increased odds for poor adaptation to seasickness by 1.10.
Table 4

Unadjusted and adjusted odds of the depression scale for the susceptibility in the early period and adaptation ability in the late period

jkms-37-e231-i004
Characteristics Unadjusted Model 1a Model 2b
OR (95% CI) P value OR (95% CI) P value OR (95% CI) P value
Susceptible to seasicknessc
Age 1.04 (0.75–1.44) 0.812 1.05 (0.75–1.45) 0.793 1.05 (0.75–1.46) 0.778
Workplace 1.50 (0.79–2.84) 0.210 1.49 (0.78–2.82) 0.224 1.49 (0.78–2.82) 0.221
BDI group
No depression Reference Reference
Minimal depression 0.95 (0.48–1.94) 0.895 0.95 (0.48–1.94) 0.890
Mild-to-moderate depression 1.63 (0.53–5.00) 0.389 1.59 (0.51–4.91) 0.417
BDI score 1.03 (0.97–1.09) 0.373 1.02 (0.97–1.09) 0.393
Poorly adapted to seasicknessd
Age 1.28 (0.85–1.90) 0.218 1.31 (0.86–1.95) 0.197 1.34 (0.88–2.01) 0.164
Workplace 0.88 (0.37–1.97) 0.760 0.83 (0.86–1.95) 0.667 0.86 (0.35–1.97) 0.721
BDI group
No depression Reference Reference
Minimal depression 1.14 (0.45–3.12) 0.792 1.16 (0.46–3.20) 0.764
Mild-to-moderate depression 4.40 (1.25–14.88) 0.020 4.63 (1.31–16.98) 0.018
BDI score 1.10 (1.03–1.18) 0.004 1.10 (1.04–1.18) 0.003
BDI = Beck Depression Inventory, OR = odds ratio, CI = confidence interval.
aBDI was assessed as a categorical variable (no depression, BDI 0; minimal depression, BDI 1–9; mild-to-moderate depression, BDI 10–29).
bBDI was assessed as a continuous variable.
cModel was evaluated for the early period outcome (the presence of at least one seasickness requiring treatment during the first 5 seafaring days).
dModel was evaluated for the late period outcome (the ratio of days of seasickness requiring treatment/days of seafaring > 10% during the 6–30 distant seafaring).

DISCUSSION

In the current study, mild-to-moderate depression was associated with poor adaptation ability to seasickness in the naval crew. On the other hand, depression scale was not significantly associated with the initial susceptibility to seasickness. The ratio of days suffered from seasickness requiring treatment was greater in the mild-to-moderate depression group compared to none or minimal.
As this study was conducted for Navy recruits who were naïve to seafaring, we could evaluate the early period for initial susceptibility to seasickness and the late period for adaptation to seasickness. The recent research including college students’ first experience sailing suggested gender, age, and birthplace were associated with motion sickness susceptibility but psychological factors were not evaluated in the study.19 The current study suggested depression could be associated with naïve seafarers’ adaptation ability to seasickness. The relationship between psychological status and motion sickness on the laboratory-based research has been explored.20 Psychological status and motion sickness evaluated by Hospital Anxiety and Depression Scale was associated with inability in updating orientation after a rotation test. Here, we stated the association between depression and seasickness in the real-world setting.
Among various possible explanations for motion sickness, the sensory conflict has been widely accepted in the literatures.21 According to this theory, if discrepancy in sensory signals from proprioception, visual, and vestibular system occur, the motion sickness is provocated.22 Seasickness and car-sickness could also be triggered by suppression of vestibule-ocular reflexes. In the current study, we included the workplace as a covariate that outside workers could have more chances to alleviate sensory conflict by looking sea which was associated in the previous literature.11 However, the workplace in the ship was not associated with seasickness requiring treatment. Not constricted to the spatial meaning, the workplace implies the different roles, stress, social, and environmental factors that could not be simply defined as a factor reflecting visual perception.
In regards to adaptation, if the conflict of sensory signals is estimated, neural mismatch does not always result in the development of motion sickness.23 It is presumed that discrepancy in sensory information is stored in the hippocampus and the vestibular cortex.24 Therefore, the motion sickness after exposure to conflict stimuli might be determined with the function of individual’s sensory center as well as a degree and types of sensory conflict. It is suggested that neural plasticity and neuronal adaptation are commonly disrupted in depression via N-methyl-D-aspartate receptor in the amygdala of hippocampus.25 Impairment in vestibular system was also associated with increased risk of depression and memory function.26 Therefore, this could also apply to the main finding of this study. Hindered adaptation to seasickness in depression patients could be partly explained by possible deterioration of hippocampal and vestibular system in depression.
Neural circuits including cholinergic, histaminergic, dopaminergic, and serotonergic system might be involved in the development of motion sickness.1323 In depressive patients, decreased serotonergic function has been suggested as a pathophysiologic mechanism and symptoms were associated with the decreased level of serotonin.27 Decreased activity in the dopaminergic pathway in the limbic system and the level of norepinephrine were also related to depression.2829 These neurotransmitters, thus, become major targets for pharmacological treatment in depression. Therefore, decreased activity in these neural circuits in the depressive patients could be associated with the occurrence of motion sickness. Furthermore, patients with migraine were susceptible to motion sickness that the authors suggested tryptophan depletion in these patients could result in decreased synthesis of serotonin and vestibular dysfunction.30 Further studies utilizing neuroimaging tools visualizing neural circuits such as functional magnetic resonance imaging could approach pathophysiologic evidence for relationship between depression and seasickness.
There are several recommendations for helping adaptation to seasickness in seafaring. Pharmacological option includes antihistamine agent which reduces the sensory conflict and enhances adaptation to seasickness.1331 Active body motion,1332 exposure to more gradual onset stimulus33 and accumulated experience of seafaring1334 could aid in adaptation. As a depression screening tool is feasible even in a large group of population,3353637 the tool could be used for military seafarers in screening those with depression as well as those at risk of poor adaptation to seasickness in advance. Careful support from superiors and colleagues might help seafarers to well adapt to seasickness and military service.38
This study has strengths in that the environments of the participants enrolled were relatively well controlled in this cohort. The participants were exposed to homogenous environmental stimuli such as similar locomotive force from the ship, food intake, and life cycles. As motion sickness could be largely affected by such environmental factors, the study design and population selection are often difficult. We could overcome this limitation by constructing a well-controlled homogenous cohort in a particular ship. Furthermore, the dropout rate (3.2%) was low that the result of this study could be less affected by potential selection bias.
This study has a few limitations. First, the result of the current study should be cautiously interpreted as it only included participants with first seafaring. The previous study compared motion sickness in seafarers and non-seafarers that reported veteran seafarers had lower susceptibility to seasickness compared to non-seafarers.39 Differential effects of depression on the seasickness for naïve and veteran seafarers are to be further investigated. Second, this study assessed seasickness requiring treatment and much milder seasickness was excluded. Only significant outcomes resulting in diminished standards of work performance due to seasickness in this population were evaluated. Furthermore, prescription-based assessment could be more objective than motion sickness questionnaires. Third, this study was conducted in a large-sized ship sailing distant seas and those of small-sized ships were not included. Fourth, the sample size was limited and further investigation with larger dataset would support the finding of this study.
In the current study, depression was associated with poor adaptation to seasickness in Navy recruits of first seafaring. Depression screening tool might be used to find seafarers with difficulties in adapting to seasickness in advance. Preventing strategies for these population at risk including pre-medication before seafaring could be considered.

Notes

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

  • Conceptualization: Park CY, Park S, Han SG, Sung T, Kim DY.

  • Data curation: Sung T, Kim DY.

  • Formal analysis: Park CY, Park S, Han SG, Kim DY.

  • Investigation: Park CY, Park S, Han SG, Kim DY.

  • Methodology: Park CY, Park S, Han SG, Kim DY.

  • Software: Park S, Kim DY.

  • Validation: Han SG, Kim DY.

  • Visualization: Park CY, Kim DY.

  • Writing - original draft: Park CY, Park S, Han SG, Kim DY.

  • Writing - review & editing: Park CY, Park S, Han SG, Kim DY.

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