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Article

Executive Function among Chilean Shellfish Divers: A Cross-Sectional Study Considering Working and Health Conditions in Artisanal Fishing

by
Marie Astrid Garrido
1,*,
Lorenz Mark
1,
Manuel Parra
1,2,
Dennis Nowak
3,† and
Katja Radon
1
1
Center for International Health@Occupational, Social and Environmental Medicine, University Hospital Munich, Ludwig-Maximilians-University, 80539 Munich, Germany
2
Faculty of Medicine, University of Atacama, Atacama 1532297, Chile
3
Institute for Occupational, Social and Environmental Medicine, University Hospital Munich, Ludwig-Maximilians-University, 80539 Munich, Germany
*
Author to whom correspondence should be addressed.
†
Comprehensive Pneumology Center (CPC) Munich, Member, Deutsches Zentrum für Lungenforschung (DZL).
Int. J. Environ. Res. Public Health 2021, 18(11), 5923; https://doi.org/10.3390/ijerph18115923
Submission received: 4 April 2021 / Revised: 23 May 2021 / Accepted: 28 May 2021 / Published: 31 May 2021
(This article belongs to the Special Issue Agricultural Occupational Health and Occupational Exposure)
Browse Figure
Review Reports Versions Notes

Abstract

:
Knowledge about professional diving-related risk factors for reduced executive function is limited. We therefore evaluated the association between decompression illness and executive functioning among artisanal divers in southern Chile. The cross-sectional study included 104 male divers and 58 male non-diving fishermen from two fishing communities. Divers self-reported frequency and severity of symptoms of decompression illness. Executive function was evaluated by perseverative responses and perseverative errors in the Wisconsin Card Sorting Test. Age, alcohol consumption, and symptoms of depression were a-priori defined as potential confounders and included in linear regression models. Comparing divers and non-divers, no differences in the executive function were found. Among divers, 75% reported a history of at least mild decompression sickness. Higher frequency and severity of symptoms of decompression illness were associated with reduced executive function. Therefore, intervention strategies for artisanal divers should focus on prevention of decompression illness.

1. Introduction

Small-scale and artisanal fisheries are key for food security, poverty eradication, and sustainable development worldwide. Over 90% of the world’s fishing-related workers are engaged in small-scale fisheries [1]. However, precarious working and employment conditions, environmental and socioeconomic factors, and lack of access to social welfare services affect the health of the families and welfare of the communities that directly depend on this sector [1].
In Chile, artisanal fishing takes place mainly in rural coastal communities. Shellfish divers participate in artisanal fishing by harvesting and capturing marine species such as shellfish, crustaceans, mollusks, and algae. They supply raw materials to the local market, to intermediaries or to processing companies that supply the international trade [2]. Nationally, 58% of the 38,440 divers registered at the Maritime Authority in 2017 were basic shellfish divers. In addition, there is an unknown number of unregistered divers [3].
Under water, most basic shellfish divers in Chile breathe compressed air by the so-called Hookah technique [3,4]. The air is supplied from an air compressor located on the surface of the boat and passes into the diver’s mouth through a hose and a regulator. While the diver is harvesting, one or two dive assistants maintain the Hookah breathing system and the boat in proper functioning [3]. The assistants also load the products harvested by the diver into the boat, sort and count them.
Decompression sickness is one of the main occupational health problems for divers in artisanal fisheries worldwide [5,6,7,8,9]. It can occur when the inert gas (nitrogen) forms intra- or extra-vascular bubbles during ascent due to decreasing atmospheric pressure. These bubbles can obstruct blood flow, damage tissues, and promote the activation of an inflammatory response. Depending on the affected site, mild symptoms, such as joint pain and skin alterations, or more serious neurological and cardiovascular diseases, which are potentially fatal, may occur immediately or even hours after diving. Additionally, when bubbles reach the arterial bloodstream, a risk of arterial gas embolism exists, affecting mainly the brain. Decompression sickness, as well as arterial gas embolism are known as “Decompression Illness” [10,11].
Decompression Illness may result in long-term effects on divers’ brains [12] including changes in cognitive function [13]. Brain imaging of patients who suffered decompression illness, especially those with cerebral arterial gas embolism, showed changes in several brain regions, including the frontal and parietal lobes [14,15]. Bubble buoyancy into the bloodstream could explain the location of the lesions [10,12,15,16]. Executive function is one of the cognitive functions circumscribed mainly to the frontal lobe [17,18]. It is understood as complex cognitive processes such as cognitive flexibility, task-shifting, working memory, planning, and inhibition. These processes are interrelated and allow adequate performance in goal-oriented tasks and functioning on a daily basis [19]. Among them, cognitive flexibility is preponderant in adapting behavior to a changing context [20]. Deficits in cognitive flexibility result in perseverative behavior [21], defined as the persistent repetition of a behavior even when it is no longer appropriate [18].
Despite the importance of the executive function in divers’ performance, limited evidence on the effects of decompression illness on executive functioning exists [13,22]. In recent decades, studies of cognitive function—including executive function—focused on assessing long-term effects of diving conditions on the central nervous system of divers with no history of decompression illness [23]. These studies showed poor performance on executive function tests by divers [24] compared to non-divers [25,26]. None of these studies were carried out in artisanal diving. A recent meta-analysis even showed that repetitive diving increased the risk of brain injury in divers with no history of decompression illness [27]. Deep dives and cold environments were factors involved in altering brain perfusion and cognitive performance of divers [28]. In concordance with these findings, we have previously shown a low level of attention in southern Chilean shellfish divers who frequently dived deeper than 30 m [29].
Given that decompression illness is frequently occurring among divers in small-scale artisanal fisheries, our objective was to assess frequency and severity of decompression illness as a risk factor for reduced executive functioning among artisanal shellfish divers in Southern Chile.

2. Materials and Methods

2.1. Study Design and Participants

This cross-sectional study was carried out between September 2017 and October 2018 in two fishing communities located in southern Chile. Seafood and algae harvesting are the main economic activities in these communities. We included male divers between the ages of 18 and 59 years, currently working or having worked in artisanal fishing. Women could not be included as they are not involved in artisanal diving in these communities. We established the upper age limit to avoid severe changes in cognitive function due to aging [30,31,32].
In addition, we included a comparison group of never divers. They were fishermen from the same communities, chosen under the same inclusion criteria as the divers. A fisherman was everyone currently working or having worked from the surface of the boats during the harvesting of sea products (e.g., divers’ assistants and crew members of the boats) without a history of diving.

2.2. Field Work and Study Instruments

2.2.1. Recruitment

Prior to field work, we met with social leaders of the artisanal fishing communities (e.g., fishermen’s union) and the villages (e.g., neighborhood councils). We introduced the study to the social leaders and invited the community to participate. After approval by the social leaders, we promoted the study through local radio stations, posters, and flyers at strategic points in each community. For the recruitment of participants, we carried out a door-to-door sampling supported by a local assistant. This recruitment method helped us to recruit past divers and fishermen, and thus, avoid a healthy worker effect. In addition, we thereby were able to include officially registered and non-registered artisanal divers and fishermen. We visited each household up to three times. If an eligible household member agreed to participate, we made a maximum of up to three phone calls to (re-)schedule an appointment (i.e., if the fisherman or diver did not show up for his appointment).

2.2.2. Data Collection and Data Collection Instruments

Two of the authors (MAG; LM) interviewed the participants and tested executive function. Data collection was done in the participant’s home when conditions were appropriate (i.e., privacy ensured, lighting adequate, and no distractors present). Otherwise, the evaluation was conducted in a room provided by the social community organizations.
The following study instruments were applied:
(1)
The Wisconsin Card Sorting Test (WCST) to evaluate executive function, mainly cognitive flexibility and task-shifting [18,33]. In the WCST, the examiner presents a set of 4 stimulus cards on a table. The cards contain figures that differ in shape, color, and quantity. The task of the examinee is to sort response cards with the appropriate stimulus card, according to classification criteria that he must find out. The only instruction he gets is a positive or negative feedback for his classification. The test ends when the examinee manages to solve the task by completing six correct classification categories or when all 128 response cards are finished.
(2)
An adapted standardized questionnaire to assess socio-demographics, potential confounders [34,35], and work-related exposures using the following sources:
-
Items developed during our previous work [9,29], to assess sociodemographic data, working and health conditions, diving frequency and depths, and history of decompression illness.
-
The AUDIT-C questionnaire, corresponding to the first three questions on hazardous alcohol consumption from the World Health Organization’s (WHO) Alcohol Use Disorders Identification Test (AUDIT) [36].
-
The WHO STEPwise approach to noncommunicable disease risk factor surveillance (STEPS) Instrument [37] to assess smoking behavior.
-
The PHQ-9 (Patient Health Questionnaire-9), the Chilean validation for the diagnosis of depression in primary health care [38].
In addition, we used an exhaled carbon monoxide monitor (piCOTM Smokerlyzer®) to assess possible exposure to carbon monoxide (CO) from the boat engine and the air compressor on the boat as an additional potential occupational source of exposure that might affect brain function [39,40]. Although such potential exposure is outside the pathway between decompression illness and executive function, we evaluated it as a potential risk factor for the outcome. For this, we measured the participants’ exhaled CO (in parts per million- ppm) on-site immediately before and up to 3–5 h after the working day at sea, considering the CO elimination half-time [41]. Despite being a simple procedure, complexity of logistics only permitted to apply this measurement in a subsample of the study population (N = 60; 40 divers and 20 fishermen).
Prior to field work, we conducted a pilot test including 10 fishermen and divers from one of the communities (who did not form part of the study population). The objective was to evaluate the understanding of the questionnaire as well as to verify the feasibility of the procedures, considering the participant’s daily routine.

2.2.3. Variable Definition

We used three WCST outcome variables to assess executive function:
(1) Our main outcome was percentage of perseverative responses which corresponds to the proportion of perseverative responses in relation to the number of cards used to complete the test. Perseverative responses mean maintaining one response strategy despite a negative feedback given by the examiner. These responses reflect a poor flexibility in adapting to change [18], i.e., perseverative responses occur when certain perseveration principles are established. For example, when after having correctly completed the “color” sorting category, the individual persists in sorting the following cards by color despite receving negative feedback from the examiner. Greater percentage of perseverative responses suggests less cognitive flexibility.
Perseverative responses mainly result in perseverative errors, but also in some correct responses. In our example, a perseverative error is the persistence in sorting a card according to “color” when the new sorting criterion is e.g., “shape”. Suppose that e.g., the next sorted card has the same shape and color as the stimulus card with which it was paired, and the consecutive card is again sorted by color. In that case, the answer is by chance correct but the response behaviour is still perserverative.
(2) Our secondary outcome was percentage of perseverative errors which corresponds to the proportion of perseverative errors (see above) in relation to the number of cards used to complete the test. Perseverative errors in the WCST are related to low cognitive flexibility [18,42,43] and shifting ability [18]—“a lower-level form of cognitive flexibility“ [20]—, which are preponderant abilities for performance in the WCST.
(3) As a negative control we used percentage of non-perseverative errors. This measure corresponds to the proportion of errors which are not related to perseverations in relation to the number of cards needed to complete the test [42]. Such errors should not depend on the cognitive flexibility.
We considered these three WCST variables as percentages instead of absolute values as they have not been validated in the Chilean population.
Our exposure variable was self-reported history of decompression illness. In absence of a validated measure to assess exposure severity [44], we assigned a score to the history of decompression illness taking frequency, severity, and diagnosis of the condition by a physician into account (Table S1). A score of (1) was assigned for frequency if the symptoms occurred “once” in a lifetime, (2) if it occurred “several times” and (3) if decompression illness was diagnosed by a physician. The frequency score was multiplied by (1) if mild symptoms were reported, by (2) if it corresponded to neurological decompression sickness, and by (3) in case of cerebral arterial gas embolism. The total score was formed by summing up the single scores. The resulting metric variable was used for the analyses. As a sensitivity analysis, we categorized the score into four groups (0–1 points, 2 points, 3–8 points, and ≥9 points) based on the quartiles of the distribution. The score 0–1 corresponded to divers who did not report any symptoms of decompression illness or who only experienced mild symptoms of decompression sickness once in a lifetime; this group was our internal comparison group.
We a-priori adjusted the linear and logistic regression models by age assessed in three categories (18–39, 40–49 and 50–59 years), hazardous alcohol consumption (Audit-C score ≥ 5) [45], and depressive symptoms (yes or no). We considered participants as suffering from depressive symptoms (based on the Chilean validation of the PHQ-9) as those reporting anhedonia or low mood “more than half the days” in the last two weeks, meeting or not the other criteria for “major depressive syndrome” or “other depressive syndrome” [38].
For descriptive analyses we also presented the educational level in three categories (Incomplete primary, Complete primary & incomplete secondary, and Complete secondary & superior), community (called “A” and “B” herein), and the number of completed categories in the WCST, ranging from zero to six. During the WCST, the participant completed a category by correctly classifying 10 consecutive response cards with the established sorting criterion [46]. We used the number of completed categories as a measure of overall performance on the test [42,43,47]. Finally, we calculated the variation in percentage of exhaled CO as the difference of the absolute values in ppm of exhaled CO after work and the exhaled CO before work (baseline) divided by the baseline value. A positive value thus indicates an increase in exhaled CO over the working day. As smoking largely affects CO levels, we also report the CO results restricted to non-smokers.

2.2.4. Statistical Analysis

We used the IBM SPSS® Statistics version 25 (IBM, Armonk, NY, USA). Double data entry was performed by two different persons in order to check and correct errors. Data from 13 participants were excluded from analysis due to history of stroke or diagnosis of current psychiatric illness (n = 5), or failure/technical problems completing the WCST (n = 8). A p < 0.05 was considered statistically significant.
We performed Chi-square tests of categorical variables to test for independence between divers and fishermen. Then, we performed non-parametric tests (Kruskal-Wallis test, Independent-Samples Median test, and Spearman’s correlation) to compare the co-variates and the outcome between both groups. We used non-parametric tests due to the relatively small sample size and the skewed distribution of the data. Kruskal–Wallis test was used for those variables with ≥3 categories (age and educational level), while the Independent-Samples Median test was used for dichotomous variables (community, depressive symptoms, and hazardous alcohol consumption). The Spearman’s coefficient was used to test the correlation between the metric variable of history of decompression illness score and each outcome variable. Finally, we performed a linear regression model for each of the three outcome variables, analyzing the relationship between decompression illness score and executive function. The models were adjusted by the a-priori defined potential confounders age, hazardous alcohol consumption, and depressive symptoms. In these models, categorical variables with more than two categories were included as dummy variables. As decompression illness can only occur in divers and not in fishermen, we restricted the linear regression models to the group of divers.
In a sensitivity analysis, we repeated the linear regression models adding (1) fishermen (defining their history of decompression illness score as (−1)), and (2) adding the educational level as predictor of executive function and (3) removing hazardous alcohol consumption from the model. The latter was done as hazardous alcohol consumption was not associated with executive function in the unadjusted analyses.

2.3. Ethics

The study was approved by the Scientific Ethics Committee of the Valdivia Health Service in Chile, and by the Ethics Committee of the Medical Faculty of the Ludwig-Maxi-milians-Universität München, Germany. Prior to data collection, participants signed an informed consent form. Those participants who could not read or write were assisted by a relative; in this case, the relative’s signature and fingerprint of the participant were recorded on the forms. The study was voluntary and anonymous. To the questionnaires and other records, an ID was randomly assigned which was not linked to the identifying information of the participants. This number was handed out to each participant, in case they later decided to withdraw from the study.

3. Results

One hundred sixty-two workers (104 divers and 58 fishermen) participated in our study. The overall response was 62% (64% for divers and 58% for fishermen; Figure 1). Sixty-eight percent of the participants were ≥40 years of age, and 57% had only primary education (Table 1). The overall prevalence of depressive symptoms was 14%, being higher among fishermen (24%) than among divers (9%, pChi2 < 0.01). After excluding smokers (11 fishermen and 13 divers), no statistically significant differences were observed in the variation of exhaled CO between fishermen (median 0%; range 0% to 150%) and divers (67%; −67% to 400%; data including smokers are shown in Table 1).
Divers reported a median of 150 dives in the last year (min. = 0, max. = 300), of which 83% went to a depth of less than 30 m, and 16% between 30 and 50 m. Seventy five percent of the divers reported mild symptoms of decompression sickness, 37% indicated episodes with neurological symptoms. Twenty divers also reported having had cerebral air gas embolism. Regarding the decompression illness score, 37 of the 47 divers who scored ≥ 3 reported neurological symptoms of decompression sickness and embolism; the remaining 10 were diagnosed with mild decompression sickness.
With respect to the executive functioning, divers and fishermen achieved a median of 2.5 completed categories in the WCST. The median (and ranges) for percentages of perseverative responses, perseverative errors and non-perseverative errors were 22.0 (2–98), 20.0 (2–74), and 21.0 (2–66), respectively.
There were no statistically significant differences in WCST results between divers and fishermen (Table 2). The percentages of perseverative responses and perseverative errors were higher with increasing age, lower educational level, and if depressive symptoms were present.
Among divers, higher scores of history of decompression illness were associated with higher percentages of perseverative responses and perseverative errors (Table 2). After adjusting for age, depressive symptoms, and hazardous alcohol consumption, the association was confirmed (Table 3 and Table S2). Likewise, the sensitivity analyses were in accordance with these findings (Tables S3–S5).

4. Discussion

We aimed to assess the association between decompression illness and executive function in shellfish divers in southern Chile. While we did not find differences in average executive function between divers and the comparison group of unexposed fishermen, we observed a dose-related decrease in executive function with severity and frequency of decompression illness. This suggests that decompression illness is crucial in long-term effects of diving on the brain.
To our knowledge, this is the first study assessing WCST perseverations as a measure of executive function in divers with history of decompression illness. In a prospective study, divers with a history of decompression illness had worse results on a memory test than divers without a history of decompression illness. As executive control might be involved in memory test results, this finding is in line with our result [13]. Studies on long-term effects on cognitive functioning of divers without a history of decompression illness further support that diving has negative long-term effects on the central nervous system [23,24,25,26,28]. As in our study, these studies did not find differences in the WCST perseverative responses between divers and less or unexposed comparison groups [23,26]. Therefore, the frequency and severity of decompression illness seems to be a key risk factor for loss of executive function.
Although further cognitive effects have not been evaluated, brain abnormalities in divers who suffered neurological decompression sickness and cerebral arterial gas embolism were shown [14,15]. Failures in the air supply from the surface, resulting in sudden ascent, triggered cerebral arterial gas embolism in abalone divers who had multiple brain injuries. These injuries were mainly located in the frontal and parietal lobes [15]. Failures in Hookah system are common in small-scale fisheries [5,7] so that our results fit well to these findings. This is of special importance considering that only 37% of the divers who had mild decompression illness and 69% of those who had neurological symptoms received some form of medical care (data not shown). Diagnosis, including assessment of neurological status, early treatment, and follow-up—even in patients with mild symptoms—are crucial for avoiding consequences of decompression illness [10,11,48]. In small-scale fishing communities, access to early diagnosis and treatment is hampered by barriers such as distance to a hyperbaric center [7], funding for treatment, unawareness of proper treatment, and unsafe use of “in-water recompression using air” [8]. In addition, local health care providers frequently lack training in basic handling of divers with decompression illness and hyperbaric centers are frequently lacking or difficult to reach [5,48].
While the prevalence of depressive symptoms among divers (9%) was similar to the prevalence of suspected depression among Chilean men (10%), the prevalence among fishermen was higher (24%) [49]. Depression and mental health problems are a common issue among farmers [50,51] and fishermen [52,53,54] in rural communities worldwide. “Contextual community factors” such as employment [51,52], environmental factors (e.g., climate), and poor access to mental health services are involved [51]. Although we cannot establish a causal relationship, this study was carried out just one year after episodes of harmful algae bloom in the study region. This environmental situation affected the work and income of fishermen and their families [55]. In addition, during data collection, the frequent bad weather conditions were unfavorable to recover from the crisis. Therefore, depressive symptoms might be a consequence of these events, since low income has been described as a predictor for depression among fishermen [52]. Re-employment opportunities into the salmon industry to cope with the crisis [56]—mostly for divers due to the industry’s historical demand for qualified divers [55]—might explain the differences in the prevalence of depressive symptoms between fishermen and divers in our study.
Our study has certain limitations and strengths. Despite the relatively small number of participants in the study, our results could be representative for artisanal diving in Chilean small-scale fisheries, but not for other countries where diving techniques, depths, and diving environment are different. Only few samples of carbon monoxide could be taken; therefore, further analysis of potential chronic exposure and its relationship to the executive function of divers and fishermen is pending. Through door-to-door sampling in the communities we were able to invite a representative sample of fishermen and divers. Thus, we could minimize selection bias and the healthy worker effect.
To our knowledge, this is the first study in Chilean artisanal divers indicating an association between decompression illness and executive function. Therefore, decompression illness should be addressed by primary prevention measures to prevent cognitive impairment over time. This should best be implemented under a community based approach. Similarly, protective factors from the “cognitive reserve” (e.g., high educational level) that allow the individual to cope with brain deterioration by decreasing the risk of functional impairment (e.g., in dementia) should be considered in prevention and rehabilitation [57,58]. This was confirmed in our sensitivity analyses, indicating a strong relationship between level of education and WCST test performance.

5. Conclusions

In conclusion, our results indicated that decompression illness could be a risk factor for decreased executive functioning of artisanal divers. Prevention of decompression illness, along with early diagnosis and treatment, remains crucial to avoid further damage and should be reinforced in small-scale Chilean fishing communities. Training plans and collaborative networking between health services and social partners are necessary interventions to achieve a better quality of life for workers in artisanal fishing communities.

Supplementary Materials

The following materials are available online at https://www.mdpi.com/article/10.3390/ijerph18115923/s1, Table S1: Decompression illness scores according to frequency and severity. Table S2: Additional test statistics of the linear regression models (Table 3). Table S3: Sensitivity analysis of the linear regression models to assess the severity and frequency of decompression illness as a risk factor for reduced executive functioning among divers using severity and frequency of decompression illness as categorical variable. The models were adjusted for age, depressive symptoms, and hazardous alcohol consumption; N = 103 divers with complete data. Table S4: Sensitivity analysis of the linear regression models to assess the severity and frequency of decompression illness as a risk factor for reduced executive functioning including fishermen. The models were adjusted for age, depressive symptoms, and hazardous alcohol consumption; N = 161. Table S5: Linear regression models to assess the severity and frequency of decompression illness as a risk factor for reduced executive functioning among divers. The models were adjusted for age, educational level, and depressive symptoms; N = 103 divers with complete data.

Author Contributions

Conceptualization, M.A.G., M.P. and K.R.; methodology, M.A.G., M.P. and K.R.; validation, M.A.G., L.M. and K.R.; formal analysis, M.A.G., M.P., D.N. and K.R.; investigation, M.A.G. and L.M.; resources, M.A.G.; data curation, M.A.G.; writing—original draft preparation, M.A.G. and K.R.; writing—review and editing, M.A.G., M.P., D.N. and K.R.; visualization, M.A.G.; supervision, M.P., D.N. and K.R.; project administration, M.A.G.; funding acquisition, M.A.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding. The study was carried out thanks to the support of the CIHLMU Center for International Health, supported by DAAD and BMZ via their exceed program.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Scientific Ethics Committee of VALDIVIA HEALTH SERVICE (protocol code ORD 192, 27 April 2017), and by the Ethics Committee of the MEDICAL FACULTY OF THE LUDWIG-MAXIMILIANS-UNIVERSITÄT MÜNCHEN (protocol code 17-447, 22 June 2017).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy restrictions.

Acknowledgments

We thank the CIHLMU Center for International Health, supported by DAAD and BMZ via their exceed program, for partial financing of doctoral studies of MAG, and the Gabriel & Mary Mustakis Foundation for a travel and accommodation grant regarding the project. We also thank neuropsychologist D.H. for technical and academic support in relation to neuropsychological testing, made possible by an internship grant from Ekosanté, a Latin American, Caribbean, and Canadian collaboration in Ecohealth. Likewise, we thank neuropsychologist C.S., for his guidance on related issues. Finally, we also thank J.D., M.G., A.C. and S.V. for their support in recruitment and data collection, and the communities for their adherence and participation in the study.

Conflicts of Interest

The authors declare no conflict of interest. This study is part of the requirements for M.A.G. to obtain a PhD degree at the CIHLMU.

References

  1. FAO Food and Agriculture Organization of the United Nations. Voluntary Guidelines for Securing Sustainable Small-Scale Fisheries in the Context of Food Security and Poverty Eradication 2015. Available online: http://www.fao.org/3/i4356en/I4356EN.pdf (accessed on 16 March 2020).
  2. FAO Food and Agriculture Organization of the United Nations. Perfiles de Pesca y Acuicultura Por Países. La República de Chile 2010. Available online: http://www.fao.org/fishery/facp/CHL/es#CountrySector-SectorSocioEcoContribution (accessed on 16 March 2020).
  3. FAO Food and Agriculture Organization of the United Nations. El Buceo en la Pesca y la Acuicultura en América Latina y el Caribe 2017. Available online: http://www.fao.org/3/a-i7331s.pdf (accessed on 16 March 2020).
  4. Hermoso, M.I.; Martin, V.Y.; Stotz, W.; Gelcich, S.; Thiel, M. How Does the Diversity of Divers Affect the Design of Citizen Science Projects? Front. Mar. Sci. 2019, 6. [Google Scholar] [CrossRef]
  5. Garrido, M.A.; Parra, M.; Diaz, J.; Medel, J.; Nowak, D.; Radon, K. Occupational safety and health in a community of shellfish divers: A community-based participatory approach. J. Community Health 2020, 45, 569–578. [Google Scholar] [CrossRef]
  6. Gold, D.; Geater, A.; Aiyarak, S.; Wongcharoenyong, S.; Juengprasert, W.; Johnson, M.; Skinner, P. The indigenous fisherman divers of Thailand: Diving-related mortality and morbidity. Int. J. Occup. Saf. Ergon. 2000, 6, 147–167. [Google Scholar] [CrossRef] [Green Version]
  7. Huchim-Lara, O.; Salas, S.; Fraga, J.; Mendez, N.; Chin, W. Fishermen’s perceptions and attitudes toward risk diving and management issues in small-scale fisheries. AJHE 2016, 5, 1–10. [Google Scholar] [CrossRef]
  8. Westin, A.A.; Asvall, J.; Idrovo, G.; Denoble, P.; Brubakk, A.O. Diving behaviour and decompression sickness among Galapagos underwater harvesters. Undersea Hyperb. Med. 2005, 32, 175–184. [Google Scholar]
  9. Garrido Campos, M.A.; Hindelang, B.A.; De Carvalho, D.S.; Urzúa Finke, I.; Herrera, R.; Radon, K. Prevalence and risk factors for hearing loss in Chilean shellfish divers. Ann. Glob. Health 2018, 84, 442–449. [Google Scholar] [CrossRef]
  10. Levett, D.Z.; Millar, I.L. Bubble trouble: A review of diving physiology and disease. Postgrad. Med. J. 2008, 84, 571–578. [Google Scholar] [CrossRef]
  11. Vann, R.D.; Butler, F.K.; Mitchell, S.J.; Moon, R.E. Decompression illness. Lancet 2011, 377, 153–164. [Google Scholar] [CrossRef]
  12. Rosinska, J.; Lukasik, M.; Kozubski, W. Neurological complications of underwater diving. Neurol. Neurochir. Pol. 2015, 49, 45–51. [Google Scholar] [CrossRef]
  13. Bast-Pettersen, R.; Skare, O.; Nordby, K.C.; Skogstad, M. A twelve-year longitudinal study of neuropsychological function in non-saturation professional divers. Int. Arch. Occup. Environ. Health 2015, 88, 669–682. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Reuter, M.; Tetzlaff, K.; Hutzelmann, A.; Fritsch, G.; Steffens, J.C.; Bettinghausen, E.; Heller, M. MR imaging of the central nervous system in diving-related decompression illness. Acta Radiol. 1997, 38, 940–944. [Google Scholar] [CrossRef]
  15. Gao, G.K.; Wu, D.; Yang, Y.; Yu, T.; Xue, J.; Wang, X.; Jiang, Y.P. Cerebral magnetic resonance imaging of compressed air divers in diving accidents. Undersea Hyperb. Med. 2009, 36, 33–41. [Google Scholar]
  16. Mitchell, S.; Gorman, D. The pathophysiology of cerebral arterial gas embolism. J. Extra Corpor. Technol. 2002, 34, 18–23. [Google Scholar]
  17. Niendam, T.A.; Laird, A.R.; Ray, K.L.; Dean, Y.M.; Glahn, D.C.; Carter, C.S. Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions. Cogn. Affect. Behav. Neurosci. 2012, 12, 241–268. [Google Scholar] [CrossRef]
  18. Miyake, A.; Friedman, N.P.; Emerson, M.J.; Witzki, A.H.; Howerter, A.; Wager, T.D. The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: A latent variable analysis. Cogn. Psychol. 2000, 41, 49–100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Ardila, A.; Fatima, S.; Rosselli, M. Introduction. In Dysexecutive Syndromes Clinical and Experimental Perspectives; Ardila, A., Fatima, S., Rosselli, M., Eds.; Springer Nature Switzerland AG: Cham, Switzerland, 2019; pp. v–ix. [Google Scholar]
  20. Dajani, D.R.; Uddin, L.Q. Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience. Trends Neurosci. 2015, 38, 571–578. [Google Scholar] [CrossRef] [Green Version]
  21. Fatima, S. Executive Dysfunctions in Autism Spectrum Disorders. In Dysexecutive Syndromes Clinical and Experimental Perspectives; Ardila, A., Fatima, S., Rosselli, M., Eds.; Springer Nature Switzerland AG: Cham, Switzerland, 2019; pp. 61–79. [Google Scholar]
  22. Taylor, C.L.; Macdiarmid, J.I.; Ross, J.A.; Osman, L.M.; Watt, S.J.; Adie, W.; Crawford, J.R.; Lawson, A. Objective neuropsychological test performance of professional divers reporting a subjective complaint of “forgetfulness or loss of concentration”. Scand. J. Work Environ. Health 2006, 32, 310–317. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Ergen, M.; Uslu, A.; Caglar, O.; Akca-Kalem, S.; Cimsit, M.; Gurvit, H. Evaluation of cognitive performance in professional divers by means of event-related potentials and neuropsychology. Clin. Neurophysiol. 2017, 128, 579–588. [Google Scholar] [CrossRef]
  24. Coco, M.; Buscemi, A.; Perciavalle, V.; Maci, T.; Galvano, G.; Scavone, A.M.F.; Perciavalle, V.; Di Corrado, D. Cognitive deficits and white matter alterations in highly trained scuba divers. Front. Psychol. 2019, 10, 2376. [Google Scholar] [CrossRef]
  25. Tetzlaff, K.; Friege, L.; Hutzelmann, A.; Reuter, M.; Holl, D.; Leplow, B. Magnetic resonance signal abnormalities and neuropsychological deficits in elderly compressed-air divers. Eur. Neurol. 1999, 42, 194–199. [Google Scholar] [CrossRef]
  26. Shah, N.; Goyal, S. A study of neurocognitive and executive function of divers. J. Mar. Med. Soc. 2018, 20, 44–49. [Google Scholar] [CrossRef]
  27. Connolly, D.M.; Lee, V.M. Odds ratio meta-analysis and increased prevalence of white matter injury in healthy divers. Aerosp. Med. Hum. Perform. 2015, 86, 928–935. [Google Scholar] [CrossRef] [PubMed]
  28. Slosman, D.O.; De Ribaupierre, S.; Chicherio, C.; Ludwig, C.; Montandon, M.L.; Allaoua, M.; Genton, L.; Pichard, C.; Grousset, A.; Mayer, E.; et al. Negative neurofunctional effects of frequency, depth and environment in recreational scuba diving: The Geneva “memory dive” study. Br. J. Sports Med. 2004, 38, 108–114. [Google Scholar] [CrossRef] [Green Version]
  29. Hindelang, B.; Garrido, M.A.; Urzúa, I.; Radon, K. Prevalence and Risk Factors for Attention Deficits in Chilean Artisanal Shellfish Divers. Medical Doctorate Thesis, Technische Universität München, München, Germany, 2014. [Google Scholar]
  30. Murman, D.L. The impact of age on cognition. Semin. Hear. 2015, 36, 111–121. [Google Scholar] [CrossRef] [PubMed]
  31. Ridderinkhof, K.R.; Span, M.M.; van der Molen, M.W. Perseverative behavior and adaptive control in older adults: Performance monitoring, rule induction, and set shifting. Brain Cogn. 2002, 49, 382–401. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Princiotta, D.; DeVries, M.; Goldstein, S. Executive functioning as a mediator of age-related cognitive decline in adults. In Handbook of Executive Functioning, 1st ed.; Goldstein, S., Naglieri, J.A., Eds.; Springer: New York, NY, USA, 2014; pp. 143–155. [Google Scholar]
  33. Rosselli, M.; Torres, V.L. Executive Dysfunction during Normal and Abnormal Aging. In Dysexecutive Syndromes Clinical and Experimental Pespectives; Ardila, A., Fatima, S., Rosselli, M., Eds.; Springer Nature Switzerland AG: Cham, Switzerland, 2019; pp. 158–176. [Google Scholar]
  34. Snyder, H.R. Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: A meta-analysis and review. Psychol. Bull. 2013, 139, 81–132. [Google Scholar] [CrossRef] [Green Version]
  35. Mukherjee, S. Alcoholism and its effects on the central nervous system. Curr. Neurovasc. Res. 2013, 10, 256–262. [Google Scholar] [CrossRef]
  36. Babor, T.F.; Higgins-Biddle, J.C.; Saunders, J.B.; Monteiro, M.G. AUDIT: The Alcohol Use Disorders Identification Test: Guidelines for Use in Primary Health Care 2001. Available online: https://www.who.int/publications-detail/audit-the-alcohol-use-disorders-identification-test-guidelines-for-use-in-primary-health-care (accessed on 7 December 2019).
  37. World Health Organization. WHO STEPS Instrument (Core and Expanded). Available online: https://www.who.int/ncds/surveillance/steps/STEPS_Instrument_v2.1.pdf (accessed on 16 March 2020).
  38. Baader, M.T.; Molina, F.J.L.; Venezian, B.S.; Rojas, C.C.; Farías, S.R.; Fierro-Freixenet, C.; Backenstrass, M.; Mundt, C. Validación y utilidad de la encuesta PHQ-9 (Patient Health Questionnaire) en el diagnóstico de depresión en pacientes usuarios de atención primaria en Chile. Rev. Chil. Neuro-Psiquiat. 2012, 50, 10–22. [Google Scholar] [CrossRef]
  39. Townsend, C.L.; Maynard, R.L. Effects on health of prolonged exposure to low concentrations of carbon monoxide. Occup. Environ. Med. 2002, 59, 708–711. [Google Scholar] [CrossRef] [Green Version]
  40. Peters, R.; Ee, N.; Peters, J.; Booth, A.; Mudway, I.; Anstey, K.J. Air pollution and dementia: A systematic review. J. Alzheimers Dis. 2019, 70, S145–S163. [Google Scholar] [CrossRef] [Green Version]
  41. Health and Safety Laboratory. Biological Monitoring Guidance Values. Gudance Sheet for: Carbon Monoxide (CO) in Breath. Available online: https://www.hsl.gov.uk/media/1188337/carbon%20monoxide%20(co)%20in%20breath.pdf (accessed on 15 February 2020).
  42. Ochoa Angrino, S.; Cruz Panesso, I. Wisconsin Card Sorting Test en el estudio del déficit de atención con hiperactividad, trastornos psiquiátricos, autismo y vejez. Univ. Psychol. 2007, 6, 637–648. [Google Scholar]
  43. Lange, F.; Seer, C.; Kopp, B. Cognitive flexibility in neurological disorders: Cognitive components and event-related potentials. Neurosci. Biobehav. Rev. 2017, 83, 496–507. [Google Scholar] [CrossRef] [PubMed]
  44. Edmonds, C.; Bennett, M.; Lippmann, J.; Mitchell, S.J. Decompression Sickness: Manifestations. In Diving and Subaquatic Medicine, 5th ed.; Edmonds, C., Ed.; CRC Press: Boca Raton, FL, USA, 2015; pp. 141–151. [Google Scholar]
  45. Norambuena, P. Intervenciones Breves Para Reducir el Consumo de Alcohol Riesgoso. Guía Técnica Para Atención Primaria de Salud 2011. Available online: https://intervencionesbrevesenalcohol.files.wordpress.com/2014/11/01_guia-tecnica.pdf (accessed on 16 March 2020).
  46. Marquine, M.J.; Yassai-Gonzalez, D.; Perez-Tejada, A.; Umlauf, A.; Kamalyan, L.; Morlett Paredes, A.; Suarez, P.; Rivera Mindt, M.; Franklin, D.; Artiola, I.F.L.; et al. Demographically adjusted normative data for the Wisconsin Card Sorting Test-64 item: Results from the Neuropsychological Norms for the U.S.-Mexico Border Region in Spanish (NP-NUMBRS) project [published online ahead of print 3 January 2020]. Clin. Neuropsychol. 2020, 1–17. [Google Scholar] [CrossRef]
  47. Seo, J.; Chang, Y.; Jang, K.E.; Park, J.W.; Kim, Y.T.; Park, S.J.; Jeong, K.S.; Kim, A.; Kim, S.H.; Kim, Y. Altered executive function in the welders: A functional magnetic resonance imaging study. Neurotoxicol. Teratol. 2016, 56, 26–34. [Google Scholar] [CrossRef] [PubMed]
  48. Mitchell, S.J.; Bennett, M.H.; Bryson, P.; Butler, F.K.; Doolette, D.J.; Holm, J.R.; Kot, J.; Lafere, P. Consensus guideline: Pre-hospital management of decompression illness: Expert review of key principles and controversies. Undersea Hyperb. Med. 2018, 45, 273–286. [Google Scholar] [PubMed]
  49. Ministerio de Salud Gobierno de Chile. Encuesta Nacional de Salud 2016–2017. Segunda Entrega de Resultados 2018. Available online: https://www.minsal.cl/wp-content/uploads/2018/01/2-Resultados-ENS_MINSAL_31_01_2018.pdf (accessed on 16 March 2020).
  50. Petarli, G.B.; Cattafesta, M.; Sant’Anna, M.M.; Bezerra, O.; Zandonade, E.; Salaroli, L.B. Multimorbidity and complex multimorbidity in Brazilian rural workers. PLoS ONE 2019, 14, e0225416. [Google Scholar] [CrossRef] [Green Version]
  51. Collins, J.; Ward, B.M.; Snow, P.; Kippen, S.; Judd, F. Compositional, contextual, and collective community factors in mental health and well-being in Australian rural communities. Qual. Health Res. 2017, 27, 677–687. [Google Scholar] [CrossRef]
  52. Marzuki, N.; Abdulrahman, S.; Khan, A. Prevalence and risk factors of depression among a population of economically-disadvantaged fishermen in Teluk Bahang, Penang. J. Adv. Med. Med. Res. 2017, 23, 1–20. [Google Scholar] [CrossRef]
  53. Jiang, H.; Li, S.; Yang, J. Work stress and depressive symptoms in fishermen with a smoking habit: A mediator role of nicotine dependence and possible moderator role of expressive suppression and cognitive reappraisal. Front. Psychol. 2018, 9, 386. [Google Scholar] [CrossRef]
  54. Wang, J.; Chen, C.Y.; Lai, L.J.; Chen, M.L.; Chen, M.Y. The effectiveness of a community-based health promotion program for rural elders: A quasi-experimental design. Appl. Nurs. Res. 2014, 27, 181–185. [Google Scholar] [CrossRef]
  55. Bustos, B.; Délano, J.; Prieto, M. Chilote tipo salmón. Relaciones entre comodificación de la naturaleza y procesos de producción identitaria. El caso de la región de Los Lagos y la industria salmonera. Estud. Atacam. 2019, 63, 383–402. [Google Scholar] [CrossRef]
  56. Garrido, A.; Parra, M.; Medel, J.; Díaz, J.; Radon, K. Temporal migration due to harmful algal bloom among artisanal fishermen in Southern Chile. In Proceedings of the 1st Exceed Conference Summary Forced Migration–Environmental and Socioeconomic Dimensions–Perspectives of Higher Education Institutions in Development Cooperation, Berlin, Germany, 19–20 October 2016; p. 48. [Google Scholar]
  57. Darwish, H.; Farran, N.; Assaad, S.; Chaaya, M. Cognitive reserve factors in a developing country: Education and occupational attainment lower the risk of dementia in a sample of Lebanese older adults. Front. Aging Neurosci. 2018, 10, 277. [Google Scholar] [CrossRef] [PubMed]
  58. Wang, H.X.; MacDonald, S.W.; Dekhtyar, S.; Fratiglioni, L. Association of lifelong exposure to cognitive reserve-enhancing factors with dementia risk: A community-based cohort study. PLoS Med. 2017, 14, e1002251. [Google Scholar] [CrossRef]
Ijerph 18 05923 g001 550
Figure 1. Participants and recruitment process in both communities. * Excluded for (1) having had a stroke or a diagnosis of current psychiatric illness, and (2) failure to complete WCST or records thereof could not be evaluated.
Figure 1. Participants and recruitment process in both communities. * Excluded for (1) having had a stroke or a diagnosis of current psychiatric illness, and (2) failure to complete WCST or records thereof could not be evaluated.
Ijerph 18 05923 g001
Table
Table 1. Comparison of socio-demographics, potential confounders, variation in percentage of exhaled CO, decompression sickness score, and Wisconsin Card Sorting Test between fishermen and divers.
Table 1. Comparison of socio-demographics, potential confounders, variation in percentage of exhaled CO, decompression sickness score, and Wisconsin Card Sorting Test between fishermen and divers.
Total
N = 162		Fishermen 1
N = 58		Divers 2
N = 104		pChi 2
(Divers vs. Fishermen)
n (%)n (%)n (%)
Age (years) 0.05
18–3951 (31.5)25 (43.1)26 (25.0)
40–4957 (35.2)18 (31.0)39 (37.5)
50–5954 (33.3)15 (25.9)39 (37.5)
Education 0.61
Incomplete primary32 (19.8)10 (17.2)22 (21.2)
Complete primary & incomplete secondary70 (43.2)28 (48.3)42 (40.4)
Complete secondary & superior60 (37.0)20 (34.5)40 (38.5)
Community 0.49
A133 (82.1)46 (79.3)87 (83.7)
B29 (17.9)12 (20.7)17 (16.3)
Depressive symptoms323 (14.2)14 (24.1)9 (8.7)<0.01
Hazardous alcohol consumption 461 (37.7)26 (44.8)35 (33.7)0.16
N; Median
(Min–Max)		N; Median
(Min–Max)		p (Median test)
History of decompression illness score5n/an/a103; 2.00
(0.00–18.00)		n/a
% change in exhaled CO660; 0.00
(−80.00–400.00)		20; 0.00
(−40.00–150.00)		40; 33.33
(−80.00–400.00)		0.02
WCST categories completed7162; 2.50 (0–6)58; 2.00 (0–6)104; 3.00 (0–6)0.41
1 Former fishermen included in the study n = 6. Reasons why they were no longer fishermen: economic (3), change of occupation (1), missing (2). 2 Former divers included in the study n = 13. Reasons why they were no longer divers: diving accidents (7), other diseases (2), economic (1), missing (2). 3 Anhedonia or low mood “more than half the days” in the last two weeks. 4 AUDIT-C questionnaire score ≥ 5. 5 Score of self-reported history of decompression illness according to severity and frequency of symptoms. Missing n = 1. 6 Percentage of variation in exhaled carbon monoxide level ((after-before)/before). Smokers are included. Missing n total = 102 (64 divers and 38 fishermen). 7 Number of WCST completed categories where 0 is the worst and 6 is the maximum.
Table
Table 2. Comparison of Wisconsin Card Sorting Test results by socio-demographics, working conditions, and history of decompression illness (fishermen and divers; N = 162).
Table 2. Comparison of Wisconsin Card Sorting Test results by socio-demographics, working conditions, and history of decompression illness (fishermen and divers; N = 162).
% Perseverative Responses% Perseverative Errors% Non-Perseverative Errors
Median (Min–Max)pMedian (Min–Max)pMedian (Min–Max)p
Age (years) <0.01 # <0.01 # 0.94 #
18–3917.0
(2.00–80.00)		 16.0
(2.00–63.00)		 20.0
(4.00–53.00)
40–4922.0
(3.00–98.00)		 20.0
(3.00–74.00)		 22.0
(2.00–54.00)
50–5928.0
(5.00–98.00)		 24.0
(5.00–73.00)		 22.0
(2.00–66.00)
Education <0.01 # <0.01 # 0.13 #
Incomplete primary32.5
(8.00–98.00)		 28.0
(7.00–73.00)		 15.0
(2.00–59.00)
Complete primary & incomplete secondary22.0
(3.00–97.00)		 20.0
(3.00–73.00)		 22.5
(2.00–66.00)
Complete secondary & superior19.0
(2.00–98.00)		 16.5
(2.00–74.00)		 20.5
(2.00–53.00)
Occupation 0.29~ 0.24~ 0.30~
Fishermen25.0
(2.00–98.00)		 22.0
(2.00–74.00)		 20.0
(2.00–54.00)
Diver21.0
(3.00–98.00)		 19.0
(3.00–73.00)		 22.5
(2.00–66.00)
Community 0.79~ 0.85~ 0.25~
B21.0
(5.00–98.00)		 20.0
(5.00–73.00)		 19.0
(2.00–54.00)
A22.0
(2.00–98.00)		 20.0
(2.00–74.00)		 22.0
(2.00–66.00)
Depressive symptoms1 0.05~ 0.05~ 0.20~
No21.0
(3.00–98.00)		 19.0
(3.00–74.00)		 22.0
(2.00–66.00)
Yes34.0
(2.00–97.00)		 29.0
(2.00–73.00)		 18.0
(2.00–54.00)
Hazardous alcohol consumption2 0.22~ 0.31~ 0.60~
No20.0
(3.00–98.00)		 19.0
(3.00–74.00)		 22.0
(2.00–66.00)
Yes26.0
(2.00–98.00)		 22.0
(2.00–73.00)		 20.0
(2.00–52.00)
History of decompression illness score 3 (Spearman’s coefficient)0.34<0.010.34<0.01−0.170.09
# Kruskal-Wallis test, ~ Independent-Samples Median test. 1 Anhedonia or low mood “more than half the days” in the last two weeks. 2 AUDIT-C questionnaire score ≥5. 3 Score of self-reported history of decompression illness according to severity and frequency of symptoms. Missing n = 1.
Table
Table 3. Linear regression models to assess the severity and frequency of decompression illness as a risk factor for reduced executive functioning among divers. The models were adjusted for age, depressive symptoms, and hazardous alcohol consumption; N = 103 divers with complete data.
Table 3. Linear regression models to assess the severity and frequency of decompression illness as a risk factor for reduced executive functioning among divers. The models were adjusted for age, depressive symptoms, and hazardous alcohol consumption; N = 103 divers with complete data.
% Perseverative Responses% Perseverative Errors% Non-Perseverative Errors
Adjusted R2
(pAnova)		0.134
(p = 0.002)		0.132
(p = 0.002)		0.013
(p = 0.284)
B95% CIB95% CIB95% CI
Age (years)
<400 0 0
40–4912.950.00–25.9010.060.64–19.470.01−6.73–6.75
50–5914.751.34–28.1610.971.22–20.733.62−3.36–10.60
Depressive symptoms 1
yes vs. no		11.18−6.17–28.547.74−4.89–20.36−6.67−15.71–2.36
Hazardous alcohol consumption 2 yes vs. no3.45−6.81–13.712.43−5.03–9.89−0.08−5.42–5.26
History of decompression illness score31.250.20–2.300.880.12–1.64−0.46−1.00–0.09
1 Anhedonia or low mood “more than half the days” in the last two weeks. 2 AUDIT C questionnaire score ≥ 5. 3 Score of self-reported history of decompression illness according to severity and frequency of symptoms.
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Garrido, M.A.; Mark, L.; Parra, M.; Nowak, D.; Radon, K. Executive Function among Chilean Shellfish Divers: A Cross-Sectional Study Considering Working and Health Conditions in Artisanal Fishing. Int. J. Environ. Res. Public Health 2021, 18, 5923. https://doi.org/10.3390/ijerph18115923

AMA Style

Garrido MA, Mark L, Parra M, Nowak D, Radon K. Executive Function among Chilean Shellfish Divers: A Cross-Sectional Study Considering Working and Health Conditions in Artisanal Fishing. International Journal of Environmental Research and Public Health. 2021; 18(11):5923. https://doi.org/10.3390/ijerph18115923

Chicago/Turabian Style

Garrido, Marie Astrid, Lorenz Mark, Manuel Parra, Dennis Nowak, and Katja Radon. 2021. "Executive Function among Chilean Shellfish Divers: A Cross-Sectional Study Considering Working and Health Conditions in Artisanal Fishing" International Journal of Environmental Research and Public Health 18, no. 11: 5923. https://doi.org/10.3390/ijerph18115923

APA Style

Garrido, M. A., Mark, L., Parra, M., Nowak, D., & Radon, K. (2021). Executive Function among Chilean Shellfish Divers: A Cross-Sectional Study Considering Working and Health Conditions in Artisanal Fishing. International Journal of Environmental Research and Public Health, 18(11), 5923. https://doi.org/10.3390/ijerph18115923

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