Evidence map›Paper›PMID 42877763›Full record

ArticleJournal of veterinary research2026

Earwax cortisol in bovines: biological and seasonal influences.

Mohammad Ataallahi, Geun-Woo Park, Dong-Woo Kim, Kyu-Hyun Park

Abstract read
In one paragraph

Article in Journal of veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohammad AtaallahiDepartment of Animal Industry Convergence, College of Animal Life Sciences, Kangwon National University, Chuncheon 24341, Korea.ORCID https://orcid.org/0000-0003-0234-8863
Geun-Woo ParkDepartment of Animal Industry Convergence, College of Animal Life Sciences, Kangwon National University, Chuncheon 24341, Korea.ORCID https://orcid.org/0000-0003-0336-4080
Dong-Woo KimDepartment of Animal Industry Convergence, College of Animal Life Sciences, Kangwon National University, Chuncheon 24341, Korea.ORCID https://orcid.org/0000-0002-7643-0838
Kyu-Hyun ParkDepartment of Animal Industry Convergence, College of Animal Life Sciences, Kangwon National University, Chuncheon 24341, Korea.ORCID https://orcid.org/0000-0002-6390-5478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Accurate stress assessment in animals requires reliable biomarkers, yet the impact of intrinsic (sex and age) and extrinsic (seasonal) factors on earwax cortisol concentrations (ECCs) has not been thoroughly studied. Therefore, the effects of sex, age and seasonal climate on ECC were investigated in Hanwoo cattle ( Material and Methods: Monthly earwax samples were collected from the left ear canal of 22 individual cattle. These comprised 7 males and 15 females as a cohort of 19 animals in March 2022 with 3 additional calves recruited through the study period up to August 2022. Their overall mean age was 32.7 ± 19.6 months. Earwax cortisol was extracted using methanol and quantified by a validated enzyme immunoassay. Based on the temperature-humidity index (THI), conditions were classified as cold stress (THI < 38), no stress (THI 38-72) or heat stress (THI > 72). Months were grouped into cool and warm seasons. Results: Earwax cortisol concentrations were higher in females than males (30.3 Conclusion: Sex is the primary influence on ECC, age and environmental conditions being lesser ones. Both intrinsic biological and extrinsic environmental factors should be considered when interpreting chronic stress in bovines.

Indexed as

cattlecerumen cortisolchronic stressnon-invasive sampling

Identifiers

PMID42877763
PMCPMC13664712

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.