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Small fish consumption in rural Myanmar.

Quennie Vi Rizaldo1, Wae Win Khaing2, Ben Belton3,4

  • 1WorldFish, Yangon, Myanmar.

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Summary

This study reveals gendered fish consumption patterns in Myanmar households, with men consuming more fish overall but women eating more small fish, potentially impacting micronutrient intake. Findings highlight the need for detailed dietary assessments.

Keywords:
Aquatic foodsFish-based processed productsFood and nutrition securityMyanmarSmall indigenous fish species

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Area of Science:

  • Nutrition Science
  • Agricultural Economics
  • Aquatic Food Systems

Background:

  • Household surveys often provide incomplete data on fish consumption, lacking intra-household distribution details.
  • Previous studies may misrepresent aquatic food consumption adequacy due to aggregated data.
  • Understanding individual fish intake is crucial, especially in regions with high consumption like Myanmar's Ayeyarwady Region.

Purpose of the Study:

  • To analyze individual-level fish consumption within households in rural Myanmar.
  • To identify gender-specific patterns in fish consumption, including species, size, and quantity.
  • To provide a more accurate assessment of aquatic food consumption and its nutritional implications.

Main Methods:

  • Conducted a survey in the Ayeyarwady Region, Myanmar, focusing on intra-household fish consumption.
  • Disaggregated data by household member gender, fish quantity, species, and size.
  • Utilized reference models to estimate quantities of fish consumed at the individual level.

Main Results:

  • Average fish consumption levels were higher than previously reported in Myanmar surveys.
  • Small fish species were consumed more frequently than larger fish.
  • Women reported 36% lower fresh fish consumption than men; men favored large fish, while women consumed more small fish.

Conclusions:

  • Gendered fish consumption patterns exist, with women consuming smaller fish potentially rich in micronutrients.
  • Findings suggest a continued reliance on wild fish stocks, even among households engaged in aquaculture.
  • Detailed, individual-level data is essential for accurate nutritional assessments and targeted interventions.