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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Anim. Sci.</journal-id>
<journal-title>Frontiers in Animal Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Anim. Sci.</abbrev-journal-title>
<issn pub-type="epub">2673-6225</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fanim.2023.1064933</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Animal Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Assessment of slaughterhouse-based measures as animal welfare indicators in fattening pigs</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hernandez</surname>
<given-names>Rick Obrian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1549504"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Romero</surname>
<given-names>Marlyn H.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1507634"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sanchez</surname>
<given-names>Jorge A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group>    <aff id="aff1">
<sup>1</sup>
<institution>Cienvet Research Group, Faculty of Agrarian and Animal Sciences, University of Caldas</institution>, <addr-line>Manizales</addr-line>, <country>Colombia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Animal Health, Faculty of Agrarian and Animal Sciences, University of Caldas</institution>, <addr-line>Manizales</addr-line>, <country>Colombia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Genaro C. Miranda-de La Lama, University of Zaragoza, Spain</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: John Michael Gonzalez, University of Georgia, United States; Flaviana Gottardo, University of Padua, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Marlyn H. Romero, <email xlink:href="mailto:marlyn.romero@ucaldas.edu.co">marlyn.romero@ucaldas.edu.co</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Animal Welfare and Policy, a section of the journal Frontiers in Animal Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>4</volume>
<elocation-id>1064933</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Hernandez, Romero and Sanchez</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Hernandez, Romero and Sanchez</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>In recent years, there has been growing interest in the assessment of animal welfare in slaughterhouses. The aim of this study was to determine the effectiveness of slaughter-based measures as animal welfare indicators and evaluate the relationships between these indicators and the sociodemographic characteristics of livestock drivers and transport conditions for fattening pigs in a commercial slaughterhouse. A total of 1,161 heavy pigs (105.6 &#xb1; 14.15 kg), from 22 commercial farms, were evaluated. Pigs were assessed ante mortem, during lairaging, by evaluating the number, location, and color of skin lesions, tail length, and the presence or absence of biting lesions, lameness, cough, rectal or vaginal prolapse, and umbilical hernia. Pulmonary lesions, pleuritis, pericarditis, and liver lesions were also recorded postmortem. A descriptive analysis was performed on antemortem and postmortem indicators to estimate their prevalence, and the relationships among antemortem and postmortem indicators were analyzed using two multilevel mixed-effects models&#x2014;a linear regression and a logistic regression analysis&#x2014; with the farm of origin as a fixed effect. Cough was present in 18.9% (<italic>n</italic> = 219) of pigs, whereas the prevalence of tail biting lesions (4.6%, <italic>n</italic> = 53), rectal prolapse (0.1%, <italic>n</italic> = 11), and vaginal prolapse (0.1%, <italic>n</italic> = 11) was low. As regards lesion shape, linear lesions accounted for the majority of skin lesions (55.8%, <italic>n</italic> = 648), followed by comma-shaped (34.7%, <italic>n</italic> = 403), diffuse (6.9%, <italic>n</italic> = 80), and rectangular lesions (2.5%, <italic>n</italic> = 29). Only 25.2% (<italic>n</italic> = 512) of lesions were bright red. At postmortem, pulmonary lesions were noted in 34.2 &#xb1; 13.5 (mean &#xb1; SEM) pigs, and were more prevalent in the cranial (11.9 &#xb1; 4.9) and medium lobes (12.2 &#xb1; 5.2); the caudal (5.3 &#xb1; 2.7) and accessory lobes (1.6 &#xb1; 1.6) were less affected. The number of skin lesions was significantly associated with drivers&#x2019; age, job experience (years), and marital status (<italic>p &#x2264;</italic> 0.001). The presence or absence of tail lesions was strongly associated with the number of skin lesions, scoring of pulmonary lesions, and animal live weight (<italic>p &#x2264;</italic> 0.001). Antemortem and postmortem indicators at slaughterhouses with low annual slaughter volumes can provide key information for disease monitoring and animal welfare.</p>
</abstract>
<kwd-group>
<kwd>swine welfare</kwd>
<kwd>meat inspection</kwd>
<kwd>skin lesions</kwd>
<kwd>fattening pigs</kwd>
<kwd>indicators</kwd>
</kwd-group>    <contract-sponsor id="cn001">Universidad de Caldas<named-content content-type="fundref-id">10.13039/501100007626</named-content>
</contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="77"/>
<page-count count="12"/>
<word-count count="7294"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Public perception and awareness of animal welfare in swine production systems have undergone a dramatic change in recent years (<xref ref-type="bibr" rid="B19">Est&#xe9;vez-Moreno et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B25">Garc&#xed;a Castro et&#xa0;al., 2022</xref>). Several factors have motivated meat-producing countries to develop animal welfare protocols in response to the different demands of the market, which have required them to incorporate or consider, for example: (a) components of quality and safety assurance programs (<xref ref-type="bibr" rid="B18">Edge and Barnett, 2009</xref>); (b) market differentiation (<xref ref-type="bibr" rid="B64">Stafford, 2014</xref>; <xref ref-type="bibr" rid="B14">de Luca et&#xa0;al., 2021</xref>); (c) consumers&#x2019; informed decisions to choose and pay more for animal-sourced foods produced in accordance with good safety and welfare practices (<xref ref-type="bibr" rid="B74">Vargas-Bello-P&#xe9;rez et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B1">Alonso et&#xa0;al., 2020</xref>); (d) the demands of social movements raising awareness about animal suffering (<xref ref-type="bibr" rid="B47">Nurse, 2016</xref>); and (e) sanitary requirements with a chain approach  (<xref ref-type="bibr" rid="B64">Stafford, 2014</xref>). Governments, international organizations, non-governmental organizations (NGOs), and producers have developed animal welfare standards for different purposes according to their respective interests and needs, and their routine implementation can help participants in the pork supply chain to assess the effectiveness of management practices, identify associated risk factors, and achieve better production results (<xref ref-type="bibr" rid="B20">Fisher and Mellort, 2002</xref>).</p>
<p>Recently, there has been a increase in data collection at slaughterhouses to monitor animal welfare at the farm as well as during transport and subsequent stages; nevertheless, the impact of such data collection depends on the strategies used to communicate the results to producers, veterinarians, and health officials (<xref ref-type="bibr" rid="B65">St&#xe4;rk et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B1">Alonso et&#xa0;al., 2020</xref>). The process of veterinary inspection at slaughterhouses was initially developed to evaluate meat fitness for human consumption and measure the progress of disease control in primary production systems  (<xref ref-type="bibr" rid="B30">Harley et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B46">Ninios et&#xa0;al., 2014</xref>), but it is evolving, and it now also functions as a surveillance system that monitors multiple aspects of the health and welfare of animals (<xref ref-type="bibr" rid="B46">Ninios et&#xa0;al., 2014</xref>). The information collected routinely during this inspection can be useful in the evaluation of on-farm, pre-slaughter animal welfare and the monitoring of animal welfare strategies implemented by  farmers (<xref ref-type="bibr" rid="B28">Grandin, 2017</xref>; <xref ref-type="bibr" rid="B76">vom Brocke et&#xa0;al., 2019</xref>), using reliable and valid animal-based indicators as reviewed in pigs (<xref ref-type="bibr" rid="B73">van Staaveren et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B32">Heinonen et&#xa0;al., 2021</xref>) and other species, such as cattle, by Losada-Espinoza et al. (<xref ref-type="bibr" rid="B39">Losada-Espinosa et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B40">Losada-Espinosa et&#xa0;al., 2021</xref>). The use of this monitory surveillance systems strategy is advantageous to animal welfare improvement efforts under commercial conditions, as it allows inspectors, during one inspection, to obtain information from several farms (<xref ref-type="bibr" rid="B42">Maisano et&#xa0;al., 2020</xref>), and, therefore, the reduction of routine on-farm and transport evaluation inspection costs. In addition, it helps to prevent the transmission of infectious diseases between different farms caused by biosecurity risk assessments conducted during pig farm animal welfare on-person evaluations (<xref ref-type="bibr" rid="B12">Dalmau, 2014</xref>).</p>
<p>Different European countries have adopted systems based on nationwide slaughterhouse inspections as a tool to monitor pig health and welfare (<xref ref-type="bibr" rid="B65">St&#xe4;rk et&#xa0;al., 2014</xref>). For example, Denmark, Scandinavia, Northern Ireland, Great Britain, Scotland have established integrated monitoring systems that collect information on, for example, pigs&#x2019; respiratory diseases, tail damage, peritonitis, pericarditis, and liver conditions (<xref ref-type="bibr" rid="B58">Sanchez-Vazquez et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B45">Nielsen et&#xa0;al., 2015</xref>). All these systems are available, and results are reported to swine producers and veterinary advisors for several purposes, such as addressing health problems that occur on farms; controlling respiratory diseases, monitoring and follow-up of vaccination plans; adjusting sanitary and animal welfare practices; and management tools to reduce problems that cause significant economic losses, such as tail biting and the occurrence of hematomas or body injuries (<xref ref-type="bibr" rid="B14">de Luca et&#xa0;al., 2021</xref>).</p>
<p>In Colombia, and in other Latin American countries, there has been an increase in societal awareness of animal welfare conditions, consolidated by research into, and legislation which promotes the improvement of, these conditions (<xref ref-type="bibr" rid="B24">Gallo et&#xa0;al., 2022</xref>), be they on the farm (with good farming practices), during transportation, or slaughter (<xref ref-type="bibr" rid="B74">Vargas-Bello-P&#xe9;rez et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B23">Gallo and Tadich, 2018</xref>). Nevertheless, there is still a need to develop solutions which apply the results of animal welfare-based research commercial everyday conditions, allowing stakeholders to minimize costs while at the same time implementing animal welfare strategies. Furthermore, this study aimed to determine the effectiveness of slaughter-based measures as animal welfare indicators and evaluate the relationships between these indicators and the sociodemographic characteristics of livestock drivers and transport conditions for fattening pigs in a commercial slaughterhouse.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<p>The study was carried out in a commercial slaughterhouse in Colombia&#x2019;s Central Andean region, from August 2020 to October 2020. The animals were transported and slaughtered in compliance with national regulations for research and commercial slaughtering (<xref ref-type="bibr" rid="B9">Colombian Ministry of Health and Social Protection, 2007</xref>). The present study was approved by the Ethics Committee for Animal Experimentation of the University of Caldas (Activities with Minimal Risk) and the Human Ethics Committee (Act 15/06/2021). Drivers were fully debriefed about the purpose of the study, they read or listened the content of the consent form and signed an informed consent form, and gave us authorization to use their data.</p>
<sec id="s2_1">
<label>2.1</label>
<title>Study description</title>
<p>The study was conducted in two stages: (1) an antemortem inspection was performed during unloading and lairage, and (2) a postmortem evaluation was conducted during the evisceration process and carcass inspection before refrigeration. Data were collected from 1,161 gilts and barrows (one batch per farm) from commercial lineages that were being transported directly from the farms (<italic>n =</italic> 22) (Caldas and Quind&#xed;o Departments in Colombia) to the slaughterhouse. These farms are responsible for 6.0% and 1.6% of national pig production, respectively (<xref ref-type="bibr" rid="B43">Martinez et&#xa0;al., 2022</xref>). A large proportion of these farms in this region are certified in good farming practices (<xref ref-type="bibr" rid="B43">Martinez et&#xa0;al., 2022</xref>) and it has one of the largest pig slaughter operations in the country (<xref ref-type="bibr" rid="B48">Pastrana-Camacho et&#xa0;al., 2023</xref>). Pigs were transported in single-deck and double-deck trucks equipped with passive ventilation systems. The pigs were unloaded from the trucks by personnel contracted by the slaughterhouse. The trucks were equipped with an adjustable slope metal ramp with an anti-skid floor, and the pigs were kept with familiar groups during lairage (5 &#xb1; 2 h), and then put into lairage pens (4.3 m &#xd7; 1.8 m) with <italic>ad libitum</italic> access to water through a nipple drinker. At the end of the lairage period, pigs were driven to an electrical stunner and restrained in a single animal box. Following stunning, pigs were vertically exsanguinated (5 &#xb1; 2 s) and carcasses were placed in a dehairing machine at 62&#xb0;C for 5 minutes. The residual hair was removed using a knife and flame; carcasses were then eviscerated and split before being placed in a chiller set at 4&#xb0;C for 24 h. The slaughterhouse had a system for identifying the pigs, whose individual number was assigned during weighing and maintained throughout the process. The assigned number was marked using a tattoo on the back of the live animals, as well as an elastic band located on the carcass to guarantee a match between the viscera and the carcass of each pig during antemortem (AM) and postmortem inspection.</p>
<p>Data collection was performed on 30 non-consecutive days between June 2020 and September 2020. A scheme based on visual inspection was used to assess specific lesions and conditions during both antemortem and postmortem evaluation. To control selection and information bias, the inclusion criterion was the origin of the pigs from fattening farms, which were certified in good animal husbandry practices. Pigs that were not followed with their corresponding postmortem evaluation and culling pigs were excluded from the study.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Demographic information about the livestock drivers</title>
<p>This investigation included 22 livestock drivers who transported fattening pigs to the slaughterhouse. In interviews, truckers were asked about their age, educational status (i.e., elementary, high school, community college, and university), animal transport training (y/n), years of experience, and knowledge of Colombian transportation (y/n) and animal welfare legislation (y/n), as well as their perception of the animals&#x2019; capacity to feel pain and stress using two questions with responses measured a Likert-based scale that ranged from 1 to 5 (i.e., strongly disagree to strongly agree).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Farm and transport conditions</title>
<p>During unloading at the slaughterhouse, the following truck features were evaluated through direct observation by a trained veterinarian: type of bodywork (i.e., wood, metal, or mixed), number of decks (i.e., single or double), the presence of water sprinkling devices (y/n), and type of ventilation (active or passive). In addition, truck drivers were interviewed to determine the following characteristics: (a) farm name, (b) use of loading ramp (y/n), (c) transport time (h), (d) specialized transport (y/n), (e) stopovers (y/n), and (f) Type of roads is a separate category, type of roads (i.e., rural or highway).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Antemortem and postmortem inspection</title>
<p>During lairage, all pigs were individually identified by numbers painted on their sides and rump with washable spray used for animal marking, and weighed before slaughter. The identification assigned by the slaughterhouse during weighing was recorded to track the viscera and carcasses of the animals selected for the study. Pigs were evaluated antemortem during lairage by two trained veterinarians on weekdays from 3:00 a.m. to 5:00 p.m. All pigs had the same lairage time (5 &#xb1; 2 h) and were evaluated 3 h after unloading. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the description of the antemortem and postmortem indicators evaluated (<xref ref-type="bibr" rid="B77">Welfare Quality, 2009</xref>). The shape of the skin lesions was evaluated to establish their possible cause. Comma-shaped skin lesions, located in different areas and ranging in size from 2 to 5 cm, are characteristic of those produced by bites during antagonistic encounters between pigs (these encounters often occur during social regrouping). Linear skin contusions (long and thin), with sizes between 10 and 15 cm, located on the ham and shoulders of the animals, are caused by the hooves of the pigs during mounting rectangular and diffuse contusions may be related to the use of blunt objects during handling (<xref ref-type="bibr" rid="B75">Var&#xf3;n-&#xc1;lvarez et&#xa0;al., 2014</xref>). The evaluation of tail length, tail injury, and lameness was performed according to the guidelines suggested by Valros  (<xref ref-type="bibr" rid="B71">Valros et&#xa0;al., 2004</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Description of antemortem and postmortem indicators evaluated in the present study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Indicator</th>
<th valign="top" align="center">Description</th>
<th valign="top" align="center">Scale</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="3" align="left" style="background-color:#f2f2f2">Antemortem</th>
</tr>
<tr>
<td valign="top" align="left">Skin lesions</td>
<td valign="top" align="left">One or more deep lesions measured on the side of a body</td>
<td valign="top" align="left">Number of lesions</td>
</tr>
<tr>
<td valign="top" align="left">Region affected by skin lesions</td>
<td valign="top" align="left">Area of the body affected by skin lesions</td>
<td valign="top" align="left">1, ears; 2, neck; 3, mid-section; 4, rump; and 5, legs</td>
</tr>
<tr>
<td valign="top" align="left">Skin lesions shape</td>
<td valign="top" align="left">Shape of the skin lesions</td>
<td valign="top" align="left">1, comma; 2, linear; 3, rectangular; and 4, diffuse</td>
</tr>
<tr>
<td valign="top" align="left">Color of skin lesions</td>
<td valign="top" align="left">Color: (1) bright red, and (2) dark red</td>
<td valign="top" align="left">1, 2</td>
</tr>
<tr>
<td valign="top" align="left">Lameness</td>
<td valign="top" align="left">(0) normal gait, (1) lame&#x2014;minimum weight-bearing on affected limb; and (2) no weight-bearing on affected limb&#x2014;inability to walk.</td>
<td valign="top" align="left">0&#x2013;1&#x2013;2</td>
</tr>
<tr>
<td valign="top" align="left">Umbilical/inguinal hernia</td>
<td valign="top" align="left">Presence of umbilical or inguinal hernia (y/n)</td>
<td valign="top" align="left">0&#x2013;1</td>
</tr>
<tr>
<td valign="top" align="left">Tail length</td>
<td valign="top" align="left">Length of tail: (0) fully docked; (1) docked at mid-length; and (2) undocked.</td>
<td valign="top" align="left">0&#x2013;1&#x2013;2</td>
</tr>
<tr>
<td valign="top" align="left">Tail lesion</td>
<td valign="top" align="left">Presence of inflammation, infection, fresh blood in the tail&#x2014;(0) healthy; (1) healed tail injury (healed); and (2) fresh tail biting wounds (fresh)</td>
<td valign="top" align="left">0&#x2013;1&#x2013;2</td>
</tr>
<tr>
<td valign="top" align="left">Rectal prolapse</td>
<td valign="top" align="left">When internal tissue extrudes from the rectum (y/n)</td>
<td valign="top" align="left">0&#x2013;1</td>
</tr>
<tr>
<td valign="top" align="left">Vaginal prolapse</td>
<td valign="top" align="left">When vaginal tissue extrudes from the vulva (y/n)</td>
<td valign="top" align="left">0&#x2013;1</td>
</tr>
<tr>
<td valign="top" align="left">Cough</td>
<td valign="top" align="left">Presence of cough in undisturbed animals that last more than five minutes (y/n).</td>
<td valign="top" align="left">0&#x2013;1</td>
</tr>
<tr>
<td valign="top" align="left">Animal live weight</td>
<td valign="top" align="left">Weight in kilograms</td>
<td valign="top" align="left">kg</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left" style="background-color:#f2f2f2">Postmortem</th>
</tr>
<tr>
<td valign="top" align="left">Pulmonary Goodwin score</td>
<td valign="top" align="left">Level of pulmonary compromise using the Goodwin scale</td>
<td valign="top" align="left">0&#x2013;55 points</td>
</tr>
<tr>
<td valign="top" align="left">Pleurisy</td>
<td valign="top" align="left">Presence of pleurisy (adherences)</td>
<td valign="top" align="left">0&#x2013;1</td>
</tr>
<tr>
<td valign="top" align="left">Pericarditis</td>
<td valign="top" align="left">Presence of pericarditis (adherences)</td>
<td valign="top" align="left">0&#x2013;1</td>
</tr>
<tr>
<td valign="top" align="left">Liver lesions</td>
<td valign="top" align="left">Presence of &#x201c;milk spot&#x201d; lesion indicative of <italic>Ascaris</italic> spp.</td>
<td valign="top" align="left">0&#x2013;1</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Postmortem (PM) inspection was performed by a trained veterinarian in the eviscerating area evaluating the lung score according to Goodwin et&#xa0;al. (1969) (<xref ref-type="bibr" rid="B27">Goodwin et&#xa0;al., 1969</xref>), for <italic>Mycoplasma hyopneumoniae</italic> by quantification of the affected lung area by the mean of 0&#x2013;10 points (cranial and medial lobes) or 0&#x2013;5 points (caudal and accessory lobes). Points were then summed up to provide an overall compromised lung area score (i.e., 0&#x2013;55 points) (see <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Data analyses were conducted using Stata<sup>&#xae;</sup> software, version 13.0 (StataCorp LP, College Station, TX, USA). In this study, the experimental units were individual pigs. A normality test of the evaluated variables was carried out. The variables with non-normal distribution were transformed by the means of a natural logarithm (i.e., weight, the lung score, and number of skin lesions), and these values were later used for regression analyses; results were transformed back to the original units of measures. Categorical variables regarding the driver (i.e., age, educational status, animal transport training, years of experience, level of education, transport training, and perception of animal welfare), the truck (i.e., type of bodywork, number of decks, water sprinkling devices, and type of ventilation) and transportation (i.e., use of loading ramp, transportation time, stopovers, and type of roads) were subjected to descriptive statistical analysis and presented as a proportion of answers means and, when applicable, the variability was expressed in ranges.</p>
<p>For the identification of the relationship between categorical antemortem (i.e., lameness, umbilical hernia, inguinal hernia, tail length, tail lesion, rectal prolapse, vaginal prolapse, cough, and weight) and postmortem (i.e., pleurisy, pericarditis, and liver lesions) variables, a chi-squared analysis was performed. A Spearman correlation matrix was done to preliminarily inspect the correlation among antemortem and postmortem variables. The Wilcoxon&#x2013;Mann&#x2013;Whitney U-test was used to measure the differences between the distribution of skin lesions according to body region (i.e., ears, neck, midsection, rump, and legs) and their color (i.e., bright or dark red). The Spearman correlation was used to measure the differences between the distribution of pulmonary lesions scores (cranial, middle, caudal, and accessory lobes). A multilevel, mixed-effects lineal regression model analysis was performed to identify variables associated with the number of skin lesions (dependent variables) with the sociodemographic characteristics of the truck drivers and transport conditions (independent variables), controlling for the effect of the farm of origin (fixed effect). A multilevel, mixed-effects logistic regression analysis was performed to identify variables associated with tail lesions as binary variables (i.e., absence or presence; dependent variables) with the antemortem and postmortem indicators (independent variables) to control the effect of farm of origin. The model included the live weight of animals as a covariate. The confounding effect was considered present when the estimates changed by at least 20%. The number of decks was evaluated as a confounding variable but was removed from the model because the principal variation source was the effect of the farm of origin. A probability level of <italic>p</italic> &lt; 0.05 was chosen as the limit for statistical significance in all tests, and probability levels of <italic>p</italic> &#x2264; 0.10 were considered as a tendency.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Livestock drivers and transport conditions</title>
<p>All drivers (<italic>n</italic> = 22) were male with 46.4 (&#xb1; 6.4 years) and an average of 6.5 (&#xb1; 8.3 years) of experience transporting animals; all of them had high school studies and only 50% (<italic>n</italic> = 11) had specialized training in animal transportation. Only four drivers had knowledge of Colombian animal welfare law, and 12 drivers had knowledge about Colombian animal transportation law. All drivers strongly agreed that animals have the capacity to feel pain and can suffer from stress.</p>
<p>Regarding truck features, all trucks were metal and wooden structures, six trucks were double-decked, whereas the remaining 16 were single-deck trucks, and only six trucks had water sprinkling systems. The evaluated trucks used a passive ventilation system. All trucks were used exclusively for livestock transport and loading ramps were used at all farms. The average transportation time from farms to the slaughterhouse was 1.92 h (&#xb1; 1.01 h), with a minimum time of 0.5 h and a maximum time of 4 h, and only seven drivers stopped during transportation for more than 10 min to take a break. The type of road was 31.8% rural, and 68.2% highway (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Percentage of responses characterizing sociodemographic variables of the driver (i.e., marital status, training in animal transport, level of education, knowledge of Colombian animal welfare law, and animal transportation law), truck (i.e., type of bodywork, number of decks, water sprinkling device, ventilation system, and use of loading ramp), and transportation (i.e., stopovers, and type of roads), as estimated by descriptive statistics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Driver</th>
<th valign="top" align="center">
<italic>n</italic>
</th>
<th valign="top" align="center">%</th>
<th valign="top" align="center">Truck</th>
<th valign="top" align="center">
<italic>n</italic>
</th>
<th valign="top" align="center">%</th>
<th valign="top" align="center">Transportation</th>
<th valign="top" align="center">
<italic>n</italic>
</th>
<th valign="top" align="center">%</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Type of bodywork</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Stopovers</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="right">Single</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">31.8%</td>
<td valign="top" align="right">Wood</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="right">0</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">68.2%</td>
</tr>
<tr>
<td valign="top" align="right">Married</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">31.8%</td>
<td valign="top" align="right">Metal and wood</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="right">1</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">22.7%</td>
</tr>
<tr>
<td valign="top" align="right">Common-law partners</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">36.4%</td>
<td valign="top" align="left">Number of decks</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="right">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">9.1%</td>
</tr>
<tr>
<td valign="top" align="left">Formal training in animal transport</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="right">Single deck</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">72.7%</td>
<td valign="top" align="left">Type of roads</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="right">Yes</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">50%</td>
<td valign="top" align="right">Double deck</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">27.3%</td>
<td valign="top" align="right">Rural</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">31.8%</td>
</tr>
<tr>
<td valign="top" align="right">No</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">50%</td>
<td valign="top" align="right">Water sprinkling device</td>
<td valign="top" align="center"/>
<td valign="top" align="right"/>
<td valign="top" align="right">Highway</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">68.2%</td>
</tr>
<tr>
<td valign="top" align="left">Level of education</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="right">Yes</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">72.7%</td>
<td valign="top" align="right"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="right">Elementary school</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="right">No</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">27.3%</td>
<td valign="top" align="right"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="right">High school</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Do you know the Colombian animal welfare law?</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Ventilation system</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="right">Yes</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">18.2%</td>
<td valign="top" align="right">Active</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="right">No</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">81.8%</td>
<td valign="top" align="right">Passive</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Do you know the Colombian animal transportation law?</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Use of loading ramp</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="right">Yes</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">54.5%</td>
<td valign="top" align="right">Yes</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">100%</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="right">No</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">45.5%</td>
<td valign="top" align="right">No</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Antemortem and postmortem indicators</title>
<p>Pigs presented with an average weight of 105.6 kg (&#xb1; 14.1 kg), with an average of 10.5 (&#xb1; 9.8) lesions on their bodies. These lesions were located mainly on the midsection (36.1%, <italic>n</italic> = 732), neck (27.9%, <italic>n</italic> = 566), and rump (21.7%, <italic>n</italic> = 440), followed by the ears (12.9%, <italic>n</italic> = 261) and legs (1.3%, <italic>n</italic> = 26). Most lesions presented a dark-red color (74.7%, <italic>n</italic> = 1,513); the remainder were bright red (25.2%, <italic>n</italic> = 512) (<italic>p &#x2264;</italic> 0.001) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The most common skin lesion shape was linear (55.8%, <italic>n</italic> = 1,130), followed by comma-shaped (34.7%, <italic>n</italic> = 703), diffuse (7%, <italic>n</italic> = 140), and rectangular (2.6%, <italic>n</italic> = 52).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Distribution of skin lesions according to the body region and color in fattening pigs in a Colombian slaughterhouse. <sup>a,b,c,d</sup>Different lower-case superscripts indicate statistically significant differences (<italic>p &#x2264;</italic> 0.001). The differences were obtained by the Wilcoxon&#x2013;Mann&#x2013;Whitney U-test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-04-1064933-g001.tif"/>
</fig>
<p>Only 0.9% (<italic>n</italic> = 11) of the pigs evaluated came from farms where tail docking was not practiced, whereas the remaining pigs had undergone caudectomy procedures (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Tail biting lesions were present in 4.7% (<italic>n</italic> = 55) of the pigs evaluated. Cough was present in 18.9% (<italic>n</italic> = 222) of the pigs evaluated, while vaginal prolapse 0% (<italic>n</italic> = 1), rectal prolapse 0.1% (<italic>n</italic> = 2), and lameness 1.3% (<italic>n</italic> = 16) were less prevalent (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Percentage of responses characterizing antemortem (i.e., tail length, tail lesion, cough, umbilical hernia, rectal prolapse, lameness, and vaginal prolapse), and postmortem (i.e., pleuritis, lung abscess, pericarditis, and liver lesions) indicators of fattening pig&#x2019;s animal welfare, as estimated by descriptive statistics, in a Colombian slaughterhouse (<italic>n</italic> = 1,161 pigs).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Indicators</th>
<th valign="middle" align="center">
<italic>n</italic>
</th>
<th valign="middle" align="center">%</th>
<th valign="top" align="left">Indicators</th>
<th valign="middle" align="center">
<italic>n</italic>
</th>
<th valign="middle" align="center">%</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Tail length</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">Skin affected area</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="right">0</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">0.9%</td>
<td valign="top" align="right">Ears</td>
<td valign="middle" align="center">750</td>
<td valign="middle" align="center">12.9%</td>
</tr>
<tr>
<td valign="top" align="right">1</td>
<td valign="middle" align="center">945</td>
<td valign="middle" align="center">81.4%</td>
<td valign="top" align="right">Neck</td>
<td valign="middle" align="center">1,621</td>
<td valign="middle" align="center">27.9%</td>
</tr>
<tr>
<td valign="top" align="right">2</td>
<td valign="middle" align="center">205</td>
<td valign="middle" align="center">17.6%</td>
<td valign="top" align="right">Mid-section</td>
<td valign="middle" align="center">2,098</td>
<td valign="middle" align="center">36.1%</td>
</tr>
<tr>
<td valign="top" align="left">Tail lesion</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="right">Rump</td>
<td valign="middle" align="center">1,267</td>
<td valign="middle" align="center">21.7%</td>
</tr>
<tr>
<td valign="top" align="right">0</td>
<td valign="middle" align="center">1,106</td>
<td valign="middle" align="center">95.3%</td>
<td valign="top" align="right">Legs</td>
<td valign="middle" align="center">76</td>
<td valign="middle" align="center">1.3%</td>
</tr>
<tr>
<td valign="top" align="right">1</td>
<td valign="middle" align="center">53</td>
<td valign="middle" align="center">4.5%</td>
<td valign="top" align="left">Skin lesions shape</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="right">2</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">0.2%</td>
<td valign="top" align="right">Comma</td>
<td valign="middle" align="center">2,016</td>
<td valign="middle" align="center">34.7%</td>
</tr>
<tr>
<td valign="top" align="left">Cough</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="right">Linear</td>
<td valign="middle" align="center">3,237</td>
<td valign="middle" align="center">55.7%</td>
</tr>
<tr>
<td valign="top" align="right">No</td>
<td valign="middle" align="center">939</td>
<td valign="middle" align="center">81%</td>
<td valign="top" align="right">Rectangular</td>
<td valign="middle" align="center">151</td>
<td valign="middle" align="center">2.6%</td>
</tr>
<tr>
<td valign="top" align="right">Yes</td>
<td valign="middle" align="center">222</td>
<td valign="middle" align="center">18.9%</td>
<td valign="top" align="right">Diffuse</td>
<td valign="middle" align="center">406</td>
<td valign="middle" align="center">7%</td>
</tr>
<tr>
<td valign="top" align="left">Umbilical hernia</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">Pleuritis</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="right">No</td>
<td valign="middle" align="center">1,158</td>
<td valign="middle" align="center">99.9%</td>
<td valign="top" align="right">No</td>
<td valign="top" align="center">1,046</td>
<td valign="top" align="center">90.1%</td>
</tr>
<tr>
<td valign="top" align="right">Yes</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">0.1%</td>
<td valign="top" align="right">Yes</td>
<td valign="top" align="center">115</td>
<td valign="top" align="center">9.9%</td>
</tr>
<tr>
<td valign="top" align="left">Rectal prolapse</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">Lung abscess</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="right">No</td>
<td valign="middle" align="center">1,159</td>
<td valign="middle" align="center">99.9%</td>
<td valign="top" align="right">No</td>
<td valign="top" align="center">1,157</td>
<td valign="top" align="center">99.7%</td>
</tr>
<tr>
<td valign="top" align="right">Yes</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">0.1%</td>
<td valign="top" align="right">Yes</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.3%</td>
</tr>
<tr>
<td valign="top" align="left">Lameness</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">Pericarditis</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="right">No</td>
<td valign="middle" align="center">1,145</td>
<td valign="middle" align="center">98.7%</td>
<td valign="top" align="right">No</td>
<td valign="top" align="center">1,128</td>
<td valign="top" align="center">97.3%</td>
</tr>
<tr>
<td valign="top" align="right">Yes</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1.3%</td>
<td valign="top" align="right">Yes</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">2.7%</td>
</tr>
<tr>
<td valign="top" align="left">Vaginal prolapse</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="left">Liver lesion (milk spot)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="right">No</td>
<td valign="middle" align="center">1,161</td>
<td valign="middle" align="center">100%</td>
<td valign="top" align="right">No</td>
<td valign="top" align="center">1,161</td>
<td valign="top" align="center">100%</td>
</tr>
<tr>
<td valign="top" align="right">Yes</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0%</td>
<td valign="top" align="right">Yes</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>At PM evaluation, pigs presented an average of 34.2 ( +/- 13.5) pulmonary lesions, and, according to the Goodwin scale, these were most prevalent on the medial and cranial lobes (12.2 &#xb1; 5.2 and 11.9 &#xb1; 4.9, respectively), followed by the caudal and accessory lobes (5.3 &#xb1; 2.6 and 1.6 &#xb1; 1.7, respectively) (<italic>p &#x2264;</italic> 0.001). Pleurisy and pericarditis were present in only 9.9% (<italic>n</italic> = 115) and 2.7% (<italic>n</italic> = 32) of the evaluated pigs, respectively, whereas lung abscesses and liver lesions were present and the presence of lung abscesses and liver lesions was negligible (0.3%, <italic>n</italic> = 4, and 0%, <italic>n</italic> = 1, respectively) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Distribution of pulmonary lesions scores in fattening pigs in a Colombian slaughterhouse according to the Goodwin scale (<italic>n</italic> = 1,161). <sup>a,b,c</sup>Different lower-case superscripts indicate statistically significant differences (<italic>p &#x2264;</italic> 0.001). The differences were obtained by the Spearman correlation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-04-1064933-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Relationship between indicators</title>
<p>The multilevel, mixed-effects lineal regression analysis identified that the number of skin lesions observed during lairage was related to the driver&#x2019;s age, marital status, and job experience (<italic>p</italic> &#x2264; 0.001) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). In this analysis, transport conditions were not related to the number of skin lesions. The tail lesions (i.e., presence or absence) were significantly associated with the number of skin lesions, the scoring of pulmonary lesions, and animal live weight (<italic>p</italic> &#x2264; 0.001) (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). However, the residual analysis of the two models indicated that the variability was significant, indicating the existence of characteristics related to the farms of origin, transport conditions, driver characteristics, and animal welfare indicators identified in the antemortem and postmortem inspection, which were not taken into account in these analyses and could explain, at least in part, the variations in the number of skin and tail lesions.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Results from a multilevel mixed-effects linear regression model of the relationship between the number of skin lesions and sociodemographic characteristics in fattening pigs in a Colombian slaughterhouse.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variable</th>
<th valign="top" colspan="3" align="center">Number of skin lesions</th>
</tr>
<tr>
<th valign="top" align="center">
&#x3b2;
</th>
<th valign="top" align="center">
SE
</th>
<th valign="top" align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Drivers&#x2019; age</td>
<td valign="middle" align="center">
<bold>0.31</bold>
</td>
<td valign="middle" align="center">
<bold>0.07</bold>
</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="center">
<bold>&#x2013;0.27</bold>
</td>
<td valign="middle" align="center">
<bold>0.01</bold>
</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Experience in the job</td>
<td valign="top" align="center">
<bold>0.01</bold>
</td>
<td valign="middle" align="center">
<bold>0.003</bold>
</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Results from a multilevel mixed-effects logistic regression model of the relationship between presence/absence of tail lesions and antemortem and postmortem indicators of animal welfare in fattening pigs in a Colombian slaughterhouse.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variable</th>
<th valign="top" colspan="3" align="center">Presence/absence of tail lesions</th>
</tr>
<tr>
<th valign="top" align="center">
&#x3b2;
</th>
<th valign="top" align="center">
SE
</th>
<th valign="top" align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Number of skin lesions</td>
<td valign="middle" align="center">
<bold>0.05</bold>
</td>
<td valign="middle" align="center">
<bold>0.01</bold>
</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Scoring of pulmonary lesions</td>
<td valign="top" align="center">
<bold>&#x2013;0.27</bold>
</td>
<td valign="middle" align="center">
<bold>0.01</bold>
</td>
<td valign="middle" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Animal live weight (kg)</td>
<td valign="top" align="center">
<bold>&#x2013;1.33</bold>
</td>
<td valign="middle" align="center">
<bold>0.04</bold>
</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Veterinary inspection during pig slaughter is a method used to ensure meat safety for human consumption (<xref ref-type="bibr" rid="B5">Buncic et&#xa0;al., 2019</xref>). Recently, however, it has also been recognized as a system to evaluate more aspects of animal health and welfare conditions (<xref ref-type="bibr" rid="B46">Ninios et&#xa0;al., 2014</xref>). Disease is an important welfare indicator because it is associated with pain, discomfort, and distress; however, the separation and individual clinical evaluation of pigs on farms is sometimes complex because it demands time and careful management of the affected animals (<xref ref-type="bibr" rid="B12">Dalmau, 2014</xref>). Sanitary inspection in slaughterhouses allows for the monitoring of the development of major diseases over time, the results of efforts to the monitoring of the development of major diseases over time, as well as the evaluation of efforts to contain them; and facilitates compliance with animal welfare standards during prelsuaghter  (<xref ref-type="bibr" rid="B29">Guardone et&#xa0;al., 2020</xref>), and the detection of subclinical diseases that are not easily diagnosed in live animals (<xref ref-type="bibr" rid="B61">Scollo et&#xa0;al., 2017</xref>).</p>
<sec id="s4_1">
<label>4.1</label>
<title>Livestock drivers and transport conditions of pigs</title>
<p>The characteristics of livestock drivers in this study, namely sex (<italic>n</italic> = 22), age (46.4 &#xb1; 6.4 years), and education were similar to those in other studies conducted under commercial conditions in Mexico (<xref ref-type="bibr" rid="B70">Valadez-Noriega et&#xa0;al., 2018</xref>) and Colombia (<xref ref-type="bibr" rid="B55">Romero et&#xa0;al., 2022</xref>). The formal training and instruction of drivers in animal transportation at Latin America is not yet a common practice (<xref ref-type="bibr" rid="B56">Romero and S&#xe1;nchez JA, 2011</xref>), usually, the drivers are hired as multipurpose drivers, with responsibilities other than the transportation of animals only 50% (<italic>n</italic> = 11) of drivers were trained in animal transportation and only 18% (<italic>n</italic> = 4) stated that they had knowledge of Colombian animal welfare-specific regulations. This lack of training has also been observed in drivers responsible for the commercial transportation of other species in Colombia, such as cattle (<xref ref-type="bibr" rid="B56">Romero and S&#xe1;nchez JA, 2011</xref>). This effect responds to multifactorial conditions such as jobs in the animal transportation sector not being specialized and exclusive, that is, usually, the drivers are hired as multipurpose drivers (<xref ref-type="bibr" rid="B54">Romero et&#xa0;al., 2018</xref>), and animal welfare policies and regulations are being implemented more slowly in developing countries than in developed ones  (<xref ref-type="bibr" rid="B23">Gallo and Tadich, 2018</xref>). This same issue affects the trucks used for animal transportation, where the use of trucks is regularly non-exclusive. In this study, 72.7% of trucks were single-decker, with metal and wood bodywork. However, other studies in Colombia have found that there is more heterogeneity among trucks (<xref ref-type="bibr" rid="B54">Romero et&#xa0;al., 2018</xref>). Nevertheless, besides confirming, in line with previous research, that transportation is a known stressor for pigs that affects their welfare and behavior (<xref ref-type="bibr" rid="B60">Schwartzkopf-Genswein et&#xa0;al., 2012</xref>), our results did not show that truck type had a significant impact on the prevalence of animal welfare indicators. However, the lack of evidence pertaining to this effect may be owing to the short transportation times (1.92 &#xb1; 1.01 h) observed in this study.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Prevalence of antemortem and postmortem indicators</title>
<p>Tail biting is considered an indicator of reduced welfare and production performance in pigs, and it is associated with condemnations in ham (<xref ref-type="bibr" rid="B63">Sinisalo et&#xa0;al., 2012</xref>). In this study, we found a prevalence of biting lesions of 4.7% (<italic>n</italic> = 55). This prevalence is high compared with other reports from studies performed in Colombia (0.7%) during on-farm evaluations (<xref ref-type="bibr" rid="B43">Martinez et&#xa0;al., 2022</xref>). Likewise, the prevalence found was lower than that reported in Portugal (<xref ref-type="bibr" rid="B22">Franco et&#xa0;al., 2021</xref>). The discordant results could be explained by differences in the farm of origin (Horst et&#xa0;al., 2019); tail-docking techniques (<xref ref-type="bibr" rid="B43">Martinez et&#xa0;al., 2022</xref>); the presence or absence of caudectomy (<xref ref-type="bibr" rid="B76">vom Brocke et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B32">Heinonen et&#xa0;al., 2021</xref>); placement on the slaughter line when assessments are conducted (before or after scalding and dehairing) (<xref ref-type="bibr" rid="B7">Carroll et&#xa0;al., 2016</xref>); tail length and healing scores (<xref ref-type="bibr" rid="B26">Gomes et&#xa0;al., 2022</xref>); and swine system managements, the last of which is dependent on the region  (<xref ref-type="bibr" rid="B43">Martinez et&#xa0;al., 2022</xref>). Tail docking is prohibited by the European Union (<xref ref-type="bibr" rid="B13">de Briyne et&#xa0;al., 2018</xref>), but is legal under Colombian law, which stipulates that the procedure must be performed with anesthesia and analgesia by trained personnel under the supervision of veterinarians (<xref ref-type="bibr" rid="B10">Colombian Agricultural and Rural Development Ministry, 2020</xref>). Nevertheless, although the practice is still controversial (<xref ref-type="bibr" rid="B31">Harley et&#xa0;al., 2012</xref>), it is reported that tail docking diminishes tail-directed behaviors on-farm (<xref ref-type="bibr" rid="B68">Thodberg et&#xa0;al., 2018</xref>) and since tail lesions are associated with on-farm health-related indicators (<xref ref-type="bibr" rid="B22">Franco et&#xa0;al., 2021</xref>), examining tail biting lesions during inspections could improve the efficacy of risk-based meat inspection programs and help farmers provide up-to-date feedback regarding on-farm animal welfare interventions that they have implemented. This was implemented in Germany with the use of a control program called Scchwanzbei&#x3b2;-INTERVENTIONS-Program (meaning &#x2018;tail biting intervention program&#x2019;), which includes the monitoring of health and animal welfare indicators in slaughterhouses. The program has resulted in a decrease in tail biting in fattening pig farms (<xref ref-type="bibr" rid="B76">vom Brocke et&#xa0;al., 2019</xref>) and increased adherence to animal welfare plans by producers (<xref ref-type="bibr" rid="B69">Uehleke et&#xa0;al., 2021</xref>). In future studies, we suggest evaluating tail lesions during postmortem inspection, as they are more visible on the carcass (<xref ref-type="bibr" rid="B73">van Staaveren et&#xa0;al., 2017</xref>); likewise, a combination of lesion scoring and tail length measurement is required, especially when animals have intact tails (<xref ref-type="bibr" rid="B72">Valros et&#xa0;al., 2020</xref>).</p>
<p>Respiratory disease management represents one of the most challenging problems in the swine industry, because of the multifactorial etiology associated with respiratory diseases such as housing conditions on the farm, population density, and biosecurity (<xref ref-type="bibr" rid="B8">Ciuoderis-Aponte et&#xa0;al., 2022</xref>). Therefore, it is expected that pigs reared under commercial conditions have a high probability of developing respiratory compromise before slaughter (<xref ref-type="bibr" rid="B52">Rampelotto et&#xa0;al., 2022</xref>). These diseases affect pig growth and feed conversion, increase mortality and condemnation during slaughter, affect meat quality (<xref ref-type="bibr" rid="B49">Permentier et&#xa0;al., 2015</xref>) and, because of their high treatment costs, reduce overall profits (<xref ref-type="bibr" rid="B11">Cornelison et&#xa0;al., 2018</xref>). Respiratory diseases also represent a risk factor for the presence of non-ambulatory and dead-on-arrival pigs after transport (<xref ref-type="bibr" rid="B57">Romero et&#xa0;al., 2015</xref>). For instance, cough is an indicator of pulmonary disease used in clinical trials and on-farm observations (<xref ref-type="bibr" rid="B44">Nathues et&#xa0;al., 2012</xref>). The association between a cough and respiratory disease has been found to predict the prevalence and severity of pneumonia in pigs (<xref ref-type="bibr" rid="B50">Pessoa et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B62">Silva et&#xa0;al., 2022</xref>). In the present study, 18.9% of pigs presented coughing events during antemortem inspection, and a significant association with pulmonary compromise, manifesting mainly on the cranial lobes, and as pericarditis and pleuritic, was found PM. Pulmonary lesions in pigs are indicative of the presence of infectious agents of porcine respiratory disease complex, such as <italic>M. hyopneumoniae, Bordetella bronchiseptica</italic>, and <italic>Actinobacillus pleuropneumoniae</italic>, as well as porcine reproductive and respiratory syndrome virus (PRRSV), and the swine influenza virus all of which are transmitted thorugh close contact among pigs (<xref ref-type="bibr" rid="B4">Brockmeier et&#xa0;al., 2002</xref>). Although little research has been conducted into other transmission methods besides close contact among pigs, it is reported that these agents can spread <italic>via</italic> airborne through biosecurity hazards such as infected animals and contaminated vehicles or people (<xref ref-type="bibr" rid="B15">Dee et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B41">Maes et&#xa0;al., 2018</xref>). Therefore, coughing can be an indicator both of animal health and the management efficiency of farms, particularly as it relates to animal transport (<xref ref-type="bibr" rid="B2">Baraldi et&#xa0;al., 2019</xref>). However, despite these benefits, cough measurement is time-consuming, and this is an aspect that diminishes its utility in commercial scenarios. For this reason, the number of studies evaluating the ability of new technologies and computational devices to record measurements of coughing in pigs is increasing (<xref ref-type="bibr" rid="B50">Pessoa et&#xa0;al., 2021</xref>), showing that producers have new alternatives which can enhance the utility of their monitoring surveillance systems for animal welfare. The evaluation of cough during transport and lairage at the slaughterhouse could be strategic, as it would allow inspectors to determine the prevalence of respiratory diseases from several farms at once, in turn diminishing costs and providing feedback to the farmers, which could in turn enable them to develop strategies to improve on-farm health conditions and reduce the prevalence of non-ambulatory pigs after transportation (<xref ref-type="bibr" rid="B36">Kongsted and S&#xf8;rensen, 2017</xref>).</p>
<p>Liver lesions, such as those produced by <italic>Ascaris</italic> spp., and lung abscesses had a low prevalence, meaning that some sanitary practices were effective. In this study, no liver lesions caused by migrating <italic>Ascaris</italic> spp. were observed. In contrast, a retrospective observational study carried out in Italy, which evaluated the records of animals postmortem inspection, found that the first cause of partial seizure was &#x201c;liver milk spot&#x201d; (91.79% of seizures), which suggests a lack or inadequacy of parasite control plans in farms, which is likely due to the low commercial value of liver in Italy (<xref ref-type="bibr" rid="B29">Guardone et&#xa0;al., 2020</xref>) (an issue that does not exist in Colombia, where the consumption of viscera is a common practice). Likewise, other indicators such as vaginal prolapse, rectal prolapse, and lameness were less prevalent, and these results could be explained by the joint effort made by the health authorities and the swine producers&#x2019; association in the implementation and certification of good farming practices and animal welfare programs (<xref ref-type="bibr" rid="B43">Martinez et&#xa0;al., 2022</xref>). Similarly, Australia has a pig health monitoring scheme in which producers participate, which includes training in on-farm antemortem inspection. In this context, a study was conducted to evaluate the effectiveness of antemortem inspection of pigs by producers, which showed that they were more competent than slaughterhouse inspectors in identifying diseased pigs and in detecting lesions affecting the pigs&#x2019; fitness for transport, considering that they knew the health history of the animals and performed the observation of pigs prior to the pigs being transported, and being subject to any additional illness or disease that could take place en-route (<xref ref-type="bibr" rid="B35">Jackowiak et&#xa0;al., 2006</xref>). These results are interesting and demonstrate that joint work between innovative producers and health authorities is effective in improving the epidemiological surveillance of animal health and welfare problems. However, they are limited to technology driven production systems with good risk management.</p>
<p>Skin lesions are used as indicators of health, animal welfare and aggression in pigs (<xref ref-type="bibr" rid="B16">Driessen et&#xa0;al., 2020a</xref>). In this study, skin lesions inspected AM were found mainly on the midsection and were mostly linear or comma shaped; these lesions are produced by agonistic behaviors such as mounting or fights (<xref ref-type="bibr" rid="B67">Teixeira and Boyle, 2014</xref>; <xref ref-type="bibr" rid="B38">Liu et&#xa0;al., 2022</xref>). Mounting behavior is a normal sexual display in pigs; nevertheless, it is undesired on commercial farms, where pigs are heavy, and because of the pressure applied by the sternum during this activity, mounting can cause lameness and the formation of carcass lesions on the midsections of pigs. On the other hand, the lesions on the head, neck, and front section of the body were the second most prevalent and they are more representative of reciprocal fighting due to agonistic interactions on-farm, during transport, or lairage. (<xref ref-type="bibr" rid="B17">Driessen et&#xa0;al., 2020b</xref>) evaluated 4,507 pig carcasses in a Belgian slaughterhouse and suggested that the most prevalent skin lesions were related to social mixing on the farms. All those interactions have been proven to happen more often in farms with low enriched environments or pens with only males or a higher male-to-female ratios (<xref ref-type="bibr" rid="B67">Teixeira and Boyle, 2014</xref>). In this study, there were no on-farm records, so it is not possible to assert that there was an increase in these behaviors, but other authors have reported that a high incidence of these behaviors in groups of male pigs is associated with higher skin lesion scores both prior to and post slaughter (<xref ref-type="bibr" rid="B67">Teixeira and Boyle, 2014</xref>).</p>
<p>The color of the lesions in this study were predominantly dark red (74.7%, n = 566) which suggests that the wounds were inflicted on the farm or during transportation. A recent on-farm study evaluated the skin lesions of 532 pigs at 7, 9, and 10 weeks of age (early life), and at 15 and 20 weeks of age (later life). The evaluated pigs were followed up post slaughter to determine if lesions that had been acquired during different stages of production remained visible on the carcass (<xref ref-type="bibr" rid="B6">Carroll et&#xa0;al., 2018</xref>). This study found that lesions that occurred 11 weeks prior to slaughter remained visible on the carcass in the form of healed (non-red) skin lesions. These findings suggest that carcass-based assessments of these types of lesions reflect lifetime animal welfare status (when pigs are slaughtered at a standard commercial age), rather than simply reflecting welfare in the period prior to immediate slaughter. However, if the objective is to assess these injuries to reflect levels of on-farm aggression, a comprehensive and robust scoring system is required (<xref ref-type="bibr" rid="B17">Driessen et&#xa0;al., 2020b</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Relationship between indicators</title>
<p>In the analysis of the relationships between skin lesions with the indicators evaluated during transport, and the sociodemographic characteristics of the drivers, as well as tail lesions with the welfare indicators in the antemortem and postmortem inspection, the effect of the farm was included using multilevel analysis. As the prevalence observed can differ depending on the type of production systems, geographical location, number of pigs, management conditions, the health status of the herd, shipping and unloading conditions, and sanitary programs, among others (<xref ref-type="bibr" rid="B34">Horst et&#xa0;al., 2019</xref>). The two selected models showed significant variability in the analysis of residuals, indicating that other variables not evaluated in the study could explain the variation in the number of skin lesions and the presence of tail lesions. Other authors have also used multivariate statistical analysis to control for the effect of the farm of origin because, as in our case, no measurements were made at this level (<xref ref-type="bibr" rid="B61">Scollo et&#xa0;al., 2017</xref>). Likewise, pig weight was included as a covariate in the multilevel, mixed-effects, logistic regression analysis.</p>
<p>Studies that have evaluated human&#x2013;animal interaction during the preslaughter of cattle and swine have shown that it is a multifaceted work activity and that workers who are in direct contact with the animals modify the animals&#x2019; responses to the preslaughter procedures, and that this affects workers&#x2019; productivity, job performance, and personal satisfaction, as well as product quality (<xref ref-type="bibr" rid="B48">Pastrana-Camacho et&#xa0;al., 2023</xref>). Skin lesions were associated with truck driver characteristics such as age, marital status, and job experience. The drivers evaluated generally had little training in animal welfare and a general lack of knowledge of the regulations related to animal transport, an aspect that could have influenced the results of the present study, taking into account that the level of knowledge about pig behavior and the driving skills of the driver directly influences animal welfare (<xref ref-type="bibr" rid="B21">Fitzgerald et&#xa0;al., 2009</xref>). Many factors have been associated with the effect of driver characteristics on animal welfare in preslaughter: these include their attitude and empathy (<xref ref-type="bibr" rid="B37">Leon et&#xa0;al., 2020</xref>), years of experience as a truck driver (<xref ref-type="bibr" rid="B70">Valadez-Noriega et&#xa0;al., 2018</xref>), driving style, education and training (<xref ref-type="bibr" rid="B53">Rioja-Lang et&#xa0;al., 2019</xref>), work pressure, and interpersonal relations background (<xref ref-type="bibr" rid="B33">Hemsworth PH, 2011</xref>). These characteristics of the drivers have been identified as risk factors that increased the probability of finding higher total transport losses (dead pigs and non-ambulatory pigs) (<xref ref-type="bibr" rid="B55">Romero et&#xa0;al., 2022</xref>) and with the prevalence of skin lesions in Colombia  (<xref ref-type="bibr" rid="B75">Var&#xf3;n-&#xc1;lvarez et&#xa0;al., 2014</xref>). Other studies in Colombia outlined four profiles of workers in swine preslaughter: the first was composed of workers who relate to the animals and their work in a mechanical way, the second by professional workers who were emotionally close to the animals, the third by those who were committed to the animals and their work, and the fourth was composed of workers who were apathetic toward both the animals and the work activity (<xref ref-type="bibr" rid="B48">Pastrana-Camacho et&#xa0;al., 2023</xref>). Similar results have been reported in sheep transporters in Mexico (<xref ref-type="bibr" rid="B51">Pulido et&#xa0;al., 2018</xref>). These profiles provide a basis for designing training and mitigation strategies to address animal handling and welfare problems, a strategy which could be particularly useful to Colombia and other Latin American countries, where animal welfare sanitary legislation is in the process of being updated and implemented (<xref ref-type="bibr" rid="B43">Martinez et&#xa0;al., 2022</xref>).</p>
<p>Tail biting is considered a harmful behavior in pigs, which has been correlated with the prevalence of herd health problems, particularly respiratory, enteric, and locomotor diseases (<xref ref-type="bibr" rid="B3">Boyle et&#xa0;al., 2022</xref>). In this study, tail lesions were associated with the scoring of pulmonary lesions and skin lesions. However, it is important to note that, while tail lesion records in slaughterhouses provide a large database, their usefulness is restricted because the environmental and animal husbandry factors associated with biting behavior are unknown. This information would only be possible to obtain through the development of prospective on-farm studies (<xref ref-type="bibr" rid="B6">Carroll et&#xa0;al., 2018</xref>), or the systematic analysis of records from highly technologized farms (<xref ref-type="bibr" rid="B66">Taylor et&#xa0;al., 2010</xref>). Several authors have outlined the pathogenesis of tail lesions, providing a detailed description of the nature of the lesions and routes of infection, in turn indicating that, in addition to physical damage to the tail and hindquarters of the bitten pig, a local infection can spread systemically, leading to the presence of abscesses, especially in the lungs (<xref ref-type="bibr" rid="B59">Schr&#xf8;der-Petersen and Simonsen, 2001</xref>; <xref ref-type="bibr" rid="B30">Harley et&#xa0;al., 2012</xref>).</p>
<p>Regarding the relationship between tail lesions and skin lesions found in this study, other authors have described the same results, as in the case of the study conducted by  (<xref ref-type="bibr" rid="B73">van Staaveren et&#xa0;al., 2017</xref>), who visited 31 Irish farms at different stages of production and evaluated tail lesions, lameness, bursitis, body condition, and skin lesions. These same indicators were assessed during postmortem inspection and the authors concluded that tail lesions and skin lesions may be possible iceberg indicators of animal welfare on farms. Similarly, other authors have suggested that these damaging behaviors can occur simultaneously on farms and that their interpretation is associated with animal welfare problems (<xref ref-type="bibr" rid="B6">Carroll et&#xa0;al., 2018</xref>). Further longitudinal studies are required to assess skin and tail lesions at farms, transport, and lairage to establish the most accurate measurement scales and to control for measurement biases.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>Swine health schemes based on antemortem and postmortem inspections at slaughterhouses provide valuable information for disease monitoring at the national level and have the potential to be a useful surveillance tool for emerging and zoonotic diseases. Additionally, they provide relevant information to provide feedback for on-farm animal welfare programs. In this study, the number of skin lesions was significantly associated with the age, experience, and marital status of the drivers. Likewise, tail lesions were associated with the number of skin lesions, the scoring of pulmonary lesions, and the weight of the pigs. Although the data presented in this study correspond to the prevalence of skin lesions found in slaughterhouses with low slaughter averages (5,194,315 pigs were slaughtered in Colombia in 2021), compared with other publications in Denmark, Italy, Great Britain, and Brazil, this information is useful because it allows for the understanding of disease monitoring from the perspective of smallholders, who do not have the resources to implement an individual surveillance system for their pigs. These data can also help in the analysis of findings related to production lines with different workloads and speeds, and low annual slaughter volumes. As the assessment of skin and tail lesions can vary across inspectors and producers, which in turn affects its usefulness as an indicator of animal welfare in slaughterhouses, further studies are needed to determine the appropriate scoring method to assess them. Effective communication between researchers and producers is vital at all stages of the dissemination of scientific findings, as well as for the acceptance and successful adoption of innovations or techniques by producers.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by approved by the Ethics Committee for Animal Experimentation of the University of Caldas (-Activities with minimal risk-).</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>RH, MR, and JS assisted with the conception and design of the experiment, and the preparation of the figures and manuscript. RH prepared the data for analysis and analyzed data. MR, RH, and JS contributed to the interpretation of the results. RH, MR, and JS drafted and edited the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was funded by the Vice rectory of research and graduate studies of Caldas University -Research in the classroom program</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank the University of Caldas animal welfare and public health undergraduate research groups for their support in data collection, as well as the slaughterhouse workers and management staff for their support.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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