Detecting Gaps in Knowledge: The Case of the Anisakis in Northwestern Spain
Abstract
:1. Introduction
- To assess consumers’ awareness about anisakids and preventive seafood treatments.
- To evaluate the effect of gender and age on the risk of anisakiasis, considering the awareness of each population group.
- To give recommendations for better consumer information regarding anisakiasis prevention, based on the results of objectives 1 and 2.
2. Materials and Methods
- Are you aware of anisakids?
- 2a/b/c: Do you think that raw/half-cooked/ultrafrozen seafood could have live anisakids?
- 3a/b: Could cooking (>60 °C) or freezing (<−20 °C) eliminate/kill anisakids?
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Questions about Occurrence of Anisakis spp. | Questions about Treatment Effects | ||||
---|---|---|---|---|---|
In Raw Seafood | In Half-Cooked Seafood | In Ultrafrozen Seafood | Anisakis Elimination | Anisakis Killing | |
Risk ratio | 0.692 | 0.703 | 0.943 | 0.893 | 0.329 |
95% CI | [0.552–0.866] | [0.54–0.913] | [0.485–1.606] | [0.497–0.1.606] | [0.194–0.558] |
z | 3.211 | 2.638 | 0.178 | 0.377 | 4.121 |
p (ratio = 1) | 0.001 | 0.008 | 0.864 | 0.706 | 3.77 × 10−5 |
Dependent Variable | Independent Variable | Coefficient | SE | t | p-Value | R2 |
---|---|---|---|---|---|---|
Raw product risk | Constant | 0.840 | 0.098 | 8.538 | 1.69 × 10−14 | |
Gender | 0.019 | 0.041 | 0.468 | 0.640 | 0.002 | |
Age | −0.007 | 0.003 | −2.053 | 0.042 | 0.017 | |
Awareness | 0.310 | 0.046 | 6.702 | 4.24 × 10−10 | 0.227 | |
Half-cooked product risk | Constant | 0.658 | 0.147 | 4.479 | 1.51 × 10−5 | |
Gender | 0.096 | 0.061 | 1.575 | 0.117 | 0.016 | |
Age | −0.004 | 0.005 | −0.824 | 0.411 | 0.004 | |
Awareness | 0.269 | 0.069 | 3.901 | 0.000 | 0.091 | |
Frozen product risk | Constant | 0.214 | 0.185 | 1.160 | 0.248 | |
Gender | −0.011 | 0.076 | −0.144 | 0.886 | 0.000 | |
Age | 0.002 | 0.006 | 0.330 | 0.742 | 0.001 | |
Awareness | 0.014 | 0.087 | 0.156 | 0.877 | 0.000 | |
Treatments eliminate anisakids | Constant | 0.348 | 0.207 | 1.678 | 0.095 | |
Gender | −0.027 | 0.086 | −0.311 | 0.756 | 0.001 | |
Age | 0.004 | 0.007 | 0.580 | 0.563 | 0.003 | |
Awareness | 0.034 | 0.097 | 0.347 | 0.729 | 0.001 | |
Treatments kill anisakids | Constant | 0.282 | 0.154 | 1.833 | 0.069 | |
Gender | −0.011 | 0.064 | −0.178 | 0.859 | 0.000 | |
Age | 0.001 | 0.005 | 0.098 | 0.922 | 0.001 | |
Awareness | 0.582 | 0.072 | 8.074 | 2.39 × 10−13 | 0.311 |
Fish and Cephalopods | Average Consumption Frequency | Prevalence Range (%) |
---|---|---|
Tuna (Thunnus spp.) | 2.07 (0.14) | 12.5–50 |
Squid (Loligo vulgaris) | 2.27 (0.15) | 0–34 |
Hake (Merluccius merluccius) | 2.29 (0.12) | 17.27–100 |
Salmon (Salmo salar) | 2.34 (0.11) | 0–100 |
Sardine (Sardina pilchardus) | 2.54 (0.11) | 0–77.6 |
Octopus (Octopus vulgaris) | 2.78 (0.13) | 0–1.4 |
Cod (Gadus morhua) | 2.83 (0.13) | 50.3–97.8 |
Sea bass (Dicentrarchus labrax) | 2.89 (0.13) | 0.95 |
Rainbow trout (Oncorhynchus mykiss) | 3.01 (0.15) | 3–100 |
Anchovy (Engraulis encrasicolus) | 3.1 (0.16) | 0–96.2 |
Sole (Solea solea) | 3.11 (0.16) | 0–43.7 |
Monkfish (Lophius spp.) | 3.24 (0.18) | 40–100 |
Blue whiting (Micromesistius poutassou) | 3.34 (0.22) | 10.63–99.3 |
Megrims (Lepidorhombus spp.) | 3.52 (0.26) | 0–100 |
Horse mackerel (Trachurus trachurus) | 3.53 (0.26) | 0–100 |
Goose neck barnacle (Pollicipes pollicipes) | 3.64 (0.28) | n/a |
Gilt-head seabream (Sparus aurata) | 3.71 (0.30) | 100 |
Swordfish (Xiphias gladius) | 3.72 (0.31) | 20.7 |
Eel (Anguilla anguilla) | 3.84 (0.35) | 0.31–15 |
Anisakid Prevalence | Frequency of Consumption | |
---|---|---|
High | Low | |
Prevalence < 90% | Tuna * (Thunnus spp.) Squid (Loligo vulgaris) Sardine * (Sardina pilchardus) Octopus (Octopus vulgaris) Sea bass (Dicentrarchus labrax) | Sole (Solea solea) Swordfish (Xiphias gladius) Eel (Anguilla anguilla) |
Prevalence > 90% | Hake (Merluccius merluccius) Salmon * (Salmo salar) Cod (Gadus morhua) | Blue whiting (Micromesistius poutassou) Anchovy * (Engraulis encrasicolus) Rainbow trout * (Oncorhynchus mykiss) Monkfish (Lophius spp.) Megrims (Lepidorhombus spp.) Horse mackerel (Trachurus trachurus) Gilt-head seabream (Sparus aurata) |
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Garcia-Sanchez, B.; Masiá, P.; Garcia-Vazquez, E.; Ardura, A.; Dopico, E. Detecting Gaps in Knowledge: The Case of the Anisakis in Northwestern Spain. J. Mar. Sci. Eng. 2024, 12, 1333. https://doi.org/10.3390/jmse12081333
Garcia-Sanchez B, Masiá P, Garcia-Vazquez E, Ardura A, Dopico E. Detecting Gaps in Knowledge: The Case of the Anisakis in Northwestern Spain. Journal of Marine Science and Engineering. 2024; 12(8):1333. https://doi.org/10.3390/jmse12081333
Chicago/Turabian StyleGarcia-Sanchez, Beatriz, Paula Masiá, Eva Garcia-Vazquez, Alba Ardura, and Eduardo Dopico. 2024. "Detecting Gaps in Knowledge: The Case of the Anisakis in Northwestern Spain" Journal of Marine Science and Engineering 12, no. 8: 1333. https://doi.org/10.3390/jmse12081333
APA StyleGarcia-Sanchez, B., Masiá, P., Garcia-Vazquez, E., Ardura, A., & Dopico, E. (2024). Detecting Gaps in Knowledge: The Case of the Anisakis in Northwestern Spain. Journal of Marine Science and Engineering, 12(8), 1333. https://doi.org/10.3390/jmse12081333