Sociocultural factors associated with fish

Overview

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Key numbers

The worker extracted the full PDF text with layout preservation twice and compared extraction hashes before commit. The following lines are copied from numeric/table-bearing regions of the PDF and retain the source units and wording where legible:

Additional information is available at holds (74.8%) had primary education or below, 51.1% drank unboiled water, and
middle piece of the fish (29%). The Poisson general linear model predicting weekly
This gave a new sample size of 217 households. Due to non-responses, an anticipated 20% was
vals of 95%. Those factors which were significant associated to fish consumption were run using the
The majority (53.3%, n = 225) of the respondents lived in the semi urban areas of Hoima district.
(87.3%, n = 268) and gender, males were 70.7% (n = 219). The household member composition
ranged from 1 to 20 individuals which is typical of a large African family, with medians of two male
community. Over 30% (n = 270) of the household obtained their drinking water from the Lake, a
the members on the island. Following up as to whether they boil the water for drinking, 51.1%
(n = 266) declared that they don’t boil the water for drinking. When asked why they don’t boil the
Considering fish consumption patterns around the Lake Albert region, 97.4% (n = 270) ate fish in
all the four landing sites where the study was executed, 91% (n = 178) were aware of the benefits
associated with fish consumption, the commonly consumed fish species were Tilapia 45.3%, fol-
lowed by Nile perch 29.8% (n = 161), and the major method of preparation was boiling 84.3%
(n = 236). There was a preference for the parts of the fish consumed depending on whether it was a
33% (n = 269) consumed the head. Considering the fish catches from the Lake Albert, pelagic fish
were the most highly harvested, followed by Tilapia and Nile perch (34.5, 30.4, and 26.9% n = 171),
commodities and charcoal selling (66.7, 42.5, and 4.76%, n = 273), respectively. While the most
games (81.3 and 23.8%, n = 273), respectively. The organizations on the landing sites that moni-
rameters, χ2 and their associated p values are displayed in Table 1.
Table 1. Relationship between the weekly frequency of fish consumption and sociocultural
Fish was consumed because it was suitable 139.1 12 <0.0001
tion i.e. frying. The contribution of the different sociocultural factors is shown in Table 2.
Table 2. Contribution of the sociocultural factors to weekly frequency of fish consumption in the household
interval (2.5%) interval (97.5%)
x.1003breasonssuitable (T.1) 0.78639 0.18399 4.274 1.92e-05 0.418533385 1.1566487
- x.1003breasonssuitable + x.1005corganizationsmonitoringbmu, family = poisson (identity),
tancy (Ssetaala et al., 2012). The majority (64%) of the household heads were aged between 19 and
Although the average household sizes were four, families ranged between 1 and 19 members.
et al. (2012) and others found in Buikwe District was that 50% of the drinking water was from the
(Drescher et al., 2014; Ssebisubi, 2013). The study revealed that only 3% consented to not eating fish,
Most of the respondents (83%) choose a healthier method of fish preparation i.e. boiling over
on other landing sites of Lake Victoria i.e. 2% to preserve tilapia and Nile perch in Buikwe as docu-
sumption was suitable (p = 0.0001). The lack of evidenced-based information about the risks con-
not fishing (66.7%) but rather charcoal selling where only 5% of the respondents reported participa-
from the Persian Gulf. Environmental Monitoring and Seriti. Retrieved from file:///H:/HOIMA/data%20on%20
Assessment, 186, 1235–1240. Uganda%20parameters/UGANDA%2520STRATEGIC%252
Sary, A. A., & Mohammadi, M. (2011). Human health risk 0INVESTMENT%2520FRAMEWORK%2520FOR%2520SUST
assessment of heavy metals in fish from freshwater. AINABLE%2520LAND%2520%2520MANAGEME
Research Journal of Fisheries and Hydrobiology, 404–411. NT%2520-%25202014.pdf
Reasons for the parts Suitable for the 87 31.8 273

Methods (brief)

ing site were obtained from a sample size calculation of 260 households which was generated for
The sample size for the households survey is determined by the formula by sample power 3 IBM SPSS
where n is the sample size of households, zα is the z value at α = 0.05 level of significance, P is the
New sample size = sample size/1 + (sample size − 1/Population) (Thrushfield, 1995)
This gave a new sample size of 217 households. Due to non-responses, an anticipated 20% was
factored for the sample size bringing the total respondents to 260. However, the household who
Category Attribute Frequency Percentage Sample size
Category Attribute Frequency Percentage Sample n
Category Attribute Frequency Percentage Sample n
Category Attribute Frequency Percentage Sample n
Category Attribute Frequency Percentage Sample n

Implications

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Verification notes

Identity check: DOI, raw handle, candidate cite-key, and SHA-256 were compared against existing wiki/sources/ pages before creation.
Full-PDF read: pdftotext -layout was run on the full PDF twice; extracted text hashes matched before the page was written.
Numeric verification: numeric/table-bearing lines were selected mechanically from the verified extraction and preserved without unit conversion or rounding.
Brand firewall: the worker skips PDFs when extracted numeric lines appear brand/manufacturer-sensitive; this page contains category-level or species-level evidence only.
HMTc firewall: no threshold, percentile, pass/fail, clean/dirty, or certification math is stated.

Update history

The five most recent substantive edits to this page, classified major (evidence or structure moved), correction (a published value or statement was wrong and has been fixed), or minor (narrative rewritten without changing the underlying evidence). Each description is derived from what the edit did to this page; the linked commit is the authoritative record, routine regeneration passes are excluded, and the full version history lives in git. When DOI minting comes online (see schema docs), each entry below will also link to a version-pinned DataCite DOI.

Commit	Date	Change	Description
b01ec52c	2026-08-04	major	2 sections added
d49e450f	2026-08-03	major	5 sections added; narrative text revised