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:
- the benefits of organic farming (Smith et al., 2019). & Mikulewicz, 2018). This makes them suitable bio-
- material. On the day of collection, each partici- 2.5, 5.0, and 20.0 μg/L for all trace elements. Matrix
- Before commencing data collection, ethical approval in Table 1 (socio-demographic characteristics) and
- clearance was diligently secured from the Eth- Table 2 (occupational background) were analyzed using
- identities were treated with the utmost confidenti- nal data such as the duration of farming (Table 2), the
- ily participated in the study, with informed consent and nail (Table 4) samples between conventional and
- Table 1 Socio- Sociodemographic Characteristics Frequency (n) Percent- p-value
- Table 2 Occupational background among farmers at Cameron Highland (N = 62)
- Conventional (n = 47) Organic (n = 15) p-value
- Conventional Farmer (n = 48) Organic Farmer (n = 14)
- male (79%), with most participants aged 41–50 years) (p = 0.0335, Mann–Whitney U test). No sig-
- (35.5%), followed by those in the 31–40 and 51–60 nificant differences were observed in PPE usage or
- age groups (27.4% each). Half of the farmers had a symptoms after pesticide handling.
- normal BMI, while 38.7% were overweight. Edu- In contrast, pesticide-related practices showed
- cationally, 53.2% completed secondary school, and clear and significant differences. All organic farmers
- 80.6% did not smoke. The majority were low alcohol reported no involvement in pesticide purchase, wash-
- consumers, with 48.4% drinking monthly and 38.7% ing, storage, or disposal, while conventional farmers
- abstaining. Most farmers (75.8%) worked on con- commonly engaged in these activities. These differ-
- ventional farms, with over half (58.1%) having more ences were statistically significant (p < 0.05), indi-
- Occupational characteristics of farmers in Cameron Table 3 presents the comparison of trace element
- Table 2 compares the occupational background ney U test. Overall, conventional farmers exhibited
- Conventional Farmer (n = 48) Organic Farmer (n = 14)
- in the conventional group (0.11 (0.71–0.57) mg/kg) forcing the role of agrochemical use in trace element
- mg/kg, p = 0.008), suggesting greater exposure likely both groups showed overlapping exposure profiles,
- ventional farmers (0.66 (0.29–0.86) mg/kg) than in region.
- organic farmers (0.39 (0.12–0.47) mg/kg), with a
- between the two groups, although median levels were Table 4 compares the concentrations of trace ele-
- organic farmers, though none reached statistical sig- organic farmers (81.10 (73.22–90.99) mg/kg), with a
- Table 5 The Association of trace elements in hair sample among farmers (N = 62), Cameron Highland
- Table 6 The Association of Trace Elements in Nail Sample among Farmers (N = 62), Cameron Highland
- Overall, the key finding in nail samples was the Table 6 presents the associations between trace ele-
- Table 5 presents the associations between trace ele- increased levels of these elements in the body. Nickel
- Elekdag-Turk, S., Almuzian, M., Turk, T. et al. (2019). Big toe- and other chemical elements of the periodic table. Journal
- K. (2017). Contamination of agricultural soils by toxic vegetables: screening health risks involved in cultivation
Methods (brief)
- Evaluation of trace element in the hair and nail samples
- Mass Spectrometry (ICP-MS) NexION® 350S was to synthetic agrochemicals. Mercury (Hg) levels were
- and nail samples, it investigates differences in expo-
- needed to have experience in organic farming without of nail clippings collected per individual. The
- using synthetic agrochemicals for the past year, while samples were then placed in sterile, labeled, zip-
- conventional farmers engaged in routine farming with locked plastic bags. Nail samples were stored at
- I) Face-to-face interview. ment analysis from the hair and nail sample
- demographic and occupational information from (ICP-MS; Perkin-Elmer, USA) in the Environ-
- nants. mulation, all hair and nail samples underwent a stand-
- II) Hair Sampling and Storage. ardized washing procedure prior to digestion and
- The hair sample collection protocol is based analysis. Samples were first rinsed with ultrapure
- ent was provided with a new set of stainless- deionized water. The cleaned samples were then dried
- collection day. Approximately 20–30 strands of ers until digestion and analysis.
- hairs were collected from the occipital region,
- of about 3 cm. The required hair sample weight
- was 0.01 – 0.05 g. The hair samples were placed Validation procedures were conducted to ensure that
- The nail sample collection protocol is based elements (Na, Mg, NH3, Cr, Mn, Fe, Ni, CO, Cu, As,
- sample collection to ensure sufficient sample in 1% (v/v) HNO3 acid with concentrations in 1.25,
Implications
This page makes the source discoverable for category-level evidence routing. Values remain source-native and should be used only with the stated matrix, species, basis, geography, and censoring context from the paper. The page does not convert total mercury to methylmercury or use total arsenic as inorganic arsenic.
Wiki pages this source may touch
- Fish — marine, non-predatory (sardines, anchovies, salmon, cod)
- Root-Vegetable Purees
- Mercury
- Cadmium
- Lead
- Arsenic
- Nickel
- Chromium
Verification notes
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wiki/sources/pages before creation. - Full-PDF read:
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Update history
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