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array:23 [ "pii" => "S1413355519302217" "issn" => "14133555" "doi" => "10.1016/j.bjpt.2020.02.002" "estado" => "S300" "fechaPublicacion" => "2021-01-01" "aid" => "266" "copyright" => "Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia" "copyrightAnyo" => "2020" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Braz J Phys Ther. 2021;25:62-9" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:18 [ "pii" => "S1413355519304113" "issn" => "14133555" "doi" => "10.1016/j.bjpt.2020.02.003" "estado" => "S300" "fechaPublicacion" => "2021-01-01" "aid" => "267" "copyright" => "Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Braz J Phys Ther. 2021;25:70-7" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original Research</span>" "titulo" => "Psychometric properties of the Brazilian version of the Bournemouth questionnaire for low back pain: validity and reliability" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "70" "paginaFinal" => "77" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Letícia Bojikian Calixtre, Carlos Luques Fonseca, Bruno Leonardo da Silva Gruninger, Danilo Harudy Kamonseki" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Letícia Bojikian" "apellidos" => "Calixtre" ] 1 => array:2 [ "nombre" => "Carlos Luques" "apellidos" => "Fonseca" ] 2 => array:2 [ "nombre" => "Bruno Leonardo da Silva" "apellidos" => "Gruninger" ] 3 => array:2 [ "nombre" => "Danilo Harudy" "apellidos" => "Kamonseki" ] ] ] ] "resumen" => array:1 [ 0 => array:3 [ "titulo" => "Highlights" "clase" => "author-highlights" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall"><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">•</span><p id="par0005" class="elsevierStylePara elsevierViewall">Total score of the Brazilian Bournemouth Questionnaire is valid.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">•</span><p id="par0010" class="elsevierStylePara elsevierViewall">The Brazilian Bournemouth Questionnaire for low back pain is reliable.</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">•</span><p id="par0015" class="elsevierStylePara elsevierViewall">Standard Error of Measurement was 5.97 points.</p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">•</span><p id="par0020" class="elsevierStylePara elsevierViewall">Minimum Detectable Change was 16.54 points.</p></li></ul></p></span>" ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1413355519304113?idApp=UINPBA00007O" "url" => "/14133555/0000002500000001/v1_202101200718/S1413355519304113/v1_202101200718/en/main.assets" ] "itemAnterior" => array:18 [ "pii" => "S1413355518304295" "issn" => "14133555" "doi" => "10.1016/j.bjpt.2020.02.001" "estado" => "S300" "fechaPublicacion" => "2021-01-01" "aid" => "265" "copyright" => "Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia" "documento" => "article" "crossmark" => 0 "subdocumento" => "fla" "cita" => "Braz J Phys Ther. 2021;25:56-61" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 38 "formatos" => array:3 [ "EPUB" => 2 "HTML" => 22 "PDF" => 14 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original Research</span>" "titulo" => "The role of spinal inhibitory neuroreceptors in the antihyperalgesic effect of warm water immersion therapy" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "56" "paginaFinal" => "61" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1258 "Ancho" => 1432 "Tamanyo" => 69498 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0015" "detalle" => "Figure " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Effect of adenosine spinal receptors in the antihyperalgesic effect of WWIT. Mice’s CFA injected hindpaw after treatment in control water 25 °C immersion + Saline i.t. (white bar) or WWIT 35 °C (white bar). Half the mice received an i.t. injection of DPCPX prior to control water 25 °C immersion (gray bar) or WWIT 35 °C (gray bar). Results show the antihyperalgesic effect of WWIT 35 °C and how injection of DPCPX nullify that effect. Each point represents the mean of eight animals; vertical lines show SD. WWIT, warm water immersion therapy; **<span class="elsevierStyleItalic">P</span> < .01 and ###<span class="elsevierStyleItalic">P</span> < .001.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Fernanda Madeira, Rômulo Nolasco de Brito, Aline A. Emer, Ana Paula Batisti, Bruna Lenfers Turnes, Afonso Shiguemi Inoue Salgado, Francisco José Cidral-Filho, Leidiane Mazzardo-Martins, Daniel Fernandes Martins" "autores" => array:9 [ 0 => array:2 [ "nombre" => "Fernanda" "apellidos" => "Madeira" ] 1 => array:2 [ "nombre" => "Rômulo Nolasco de" "apellidos" => "Brito" ] 2 => array:2 [ "nombre" => "Aline A." "apellidos" => "Emer" ] 3 => array:2 [ "nombre" => "Ana Paula" "apellidos" => "Batisti" ] 4 => array:2 [ "nombre" => "Bruna Lenfers" "apellidos" => "Turnes" ] 5 => array:2 [ "nombre" => "Afonso Shiguemi Inoue" "apellidos" => "Salgado" ] 6 => array:2 [ "nombre" => "Francisco José" "apellidos" => "Cidral-Filho" ] 7 => array:2 [ "nombre" => "Leidiane" "apellidos" => "Mazzardo-Martins" ] 8 => array:2 [ "nombre" => "Daniel Fernandes" "apellidos" => "Martins" ] ] ] ] "resumen" => array:1 [ 0 => array:3 [ "titulo" => "Highlights" "clase" => "author-highlights" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall"><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">•</span><p id="par0005" class="elsevierStylePara elsevierViewall">Warm water immersion therapy (WWIT) reduces inflammatory pain in mice.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">•</span><p id="par0010" class="elsevierStylePara elsevierViewall">Spinal inhibitory neuroreceptors are involved in WWIT-induced pain-relieving effect.</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">•</span><p id="par0015" class="elsevierStylePara elsevierViewall">Opioid, cannabinoid and adenosine receptors contribute to WWIT pain-relieving effect.</p></li></ul></p></span>" ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1413355518304295?idApp=UINPBA00007O" "url" => "/14133555/0000002500000001/v1_202101200718/S1413355518304295/v1_202101200718/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original Research</span>" "titulo" => "The relationship between urinary C-Telopeptide fragments of type II collagen, knee joint load, pain, and physical function in individuals with medial knee osteoarthritis" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "62" "paginaFinal" => "69" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Luiz Fernando Approbato Selistre, Glaucia Helena Gonçalves, Fernando Augusto Vasilceac, Paula Regina Mendes da Silva Serrão, Theresa Helissa Nakagawa, Marina Petrella, Richard Keith Jones, Stela Márcia Mattiello" "autores" => array:8 [ 0 => array:4 [ "nombre" => "Luiz Fernando Approbato" "apellidos" => "Selistre" "email" => array:1 [ 0 => "lfaselistre@gmail.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "Glaucia Helena" "apellidos" => "Gonçalves" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "Fernando Augusto" "apellidos" => "Vasilceac" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 3 => array:3 [ "nombre" => "Paula Regina Mendes da Silva" "apellidos" => "Serrão" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 4 => array:3 [ "nombre" => "Theresa Helissa" "apellidos" => "Nakagawa" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 5 => array:3 [ "nombre" => "Marina" "apellidos" => "Petrella" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 6 => array:3 [ "nombre" => "Richard Keith" "apellidos" => "Jones" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 7 => array:3 [ "nombre" => "Stela Márcia" "apellidos" => "Mattiello" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Department of Physical Therapy, Universidade Federal de São Carlos (UFSCar), São Carlos, SP, Brazil" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "School of Health Sciences, University of Salford, Salford, United Kingdom" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author at: Departamento de Fisioterapia, Universidade Federal de São Carlos, Rodovia Washington Luís, Km 235, CEP: 13565-905, São Carlos, SP, Brazil." ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 543 "Ancho" => 2508 "Tamanyo" => 60516 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Scatterplots illustrating the association between uCTX-II with WOMAC pain score (A), WOMAC physical function score (B), and 40<span class="elsevierStyleHsp" style=""></span>m walk test (C).</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introduction</span><p id="par0020" class="elsevierStylePara elsevierViewall">Knee osteoarthritis (OA) is one of the most prevalent diseases in the world,<a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">1</span></a> characterized by the degradation of articular cartilage. Cartilage degradation is a consequence of the loss of the normal balance between the synthesis and degradation activity of the chondrocytes.<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">2</span></a> The degradation is considered to be a result of mechanical and biological alterations.<a class="elsevierStyleCrossRefs" href="#bib0360"><span class="elsevierStyleSup">3–5</span></a> For this reason, studies have investigated how these changes relate to OA symptoms and whether they can predict knee OA onset and progression.<a class="elsevierStyleCrossRefs" href="#bib0375"><span class="elsevierStyleSup">6–8</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">The unbalanced activity of the chondrocytes and consequent breakdown of articular cartilage can be caused by abnormal or excessive loading in the joint.<a class="elsevierStyleCrossRefs" href="#bib0390"><span class="elsevierStyleSup">9–11</span></a> Knee adduction moment (KAM) has been used to measure the distribution of load between medial and lateral compartments of the knee,<a class="elsevierStyleCrossRefs" href="#bib0405"><span class="elsevierStyleSup">12–15</span></a> more specifically excessive medial compartment loading as this is the most commonly affected compartment.<a class="elsevierStyleCrossRef" href="#bib0390"><span class="elsevierStyleSup">9</span></a> KAM has been associated with pain,<a class="elsevierStyleCrossRefs" href="#bib0425"><span class="elsevierStyleSup">16,17</span></a> OA severity,<a class="elsevierStyleCrossRefs" href="#bib0370"><span class="elsevierStyleSup">5,18</span></a> and progression of the disease.<a class="elsevierStyleCrossRefs" href="#bib0385"><span class="elsevierStyleSup">8,19</span></a> Knee adduction angular impulse (KAAI), which is the time integral of the KAM curve during stance, has also been used to measure knee load through a combination of the duration and amplitude of KAM.<a class="elsevierStyleCrossRef" href="#bib0435"><span class="elsevierStyleSup">18</span></a> KAAI is also associated with the presence,<a class="elsevierStyleCrossRef" href="#bib0380"><span class="elsevierStyleSup">7</span></a> severity,<a class="elsevierStyleCrossRef" href="#bib0435"><span class="elsevierStyleSup">18</span></a> pain, and disability<a class="elsevierStyleCrossRef" href="#bib0445"><span class="elsevierStyleSup">20</span></a> in knee OA. More recently, knee flexion moment (KFM) was proposed to improve the measurement of knee load,<a class="elsevierStyleCrossRef" href="#bib0450"><span class="elsevierStyleSup">21</span></a> being associated with cartilage thickness in the early stages of the disease.<a class="elsevierStyleCrossRef" href="#bib0455"><span class="elsevierStyleSup">22</span></a> A longitudinal study demonstrated that higher baseline KAM and KFM in individuals with medial knee OA were shown to be associated with reduced knee cartilage thickness at the five-year follow-up.<a class="elsevierStyleCrossRef" href="#bib0365"><span class="elsevierStyleSup">4</span></a> Hence, knee moment variables (KAM, KAAI, and KFM) may be considered appropriate measures of knee joint load.</p><p id="par0030" class="elsevierStylePara elsevierViewall">Some authors consider mechanical alterations responsible for the occurrence of biological alterations, and consequent degradation of articular cartilage, in most cases of knee OA.<a class="elsevierStyleCrossRefs" href="#bib0370"><span class="elsevierStyleSup">5,10,11</span></a> The biological alterations of articular cartilage can be identified by biochemical markers, also called biomarkers.<a class="elsevierStyleCrossRef" href="#bib0460"><span class="elsevierStyleSup">23</span></a> Urinary C-tylopeptide type II collagen (uCTX-II) has been presented as one of the most important OA biomarkers to detect changes in cartilage.<a class="elsevierStyleCrossRef" href="#bib0460"><span class="elsevierStyleSup">23</span></a> The uCTX-II level from a urine sample can measure the systemic concentration of type II collagen, which is the most abundant protein of the cartilage matrix.<a class="elsevierStyleCrossRefs" href="#bib0465"><span class="elsevierStyleSup">24,25</span></a> According to BIPED (Burden of disease, Investigative, Prognostic, Efficacy of Intervention and Diagnostic) criteria,<a class="elsevierStyleCrossRef" href="#bib0475"><span class="elsevierStyleSup">26</span></a> uCTX-II has the ability to diagnose, predict the progression, and identify the severity of the disease,<a class="elsevierStyleCrossRefs" href="#bib0355"><span class="elsevierStyleSup">2,27–30</span></a> demonstrating also the ability to identify healthy individuals at high risk of developing knee OA.<a class="elsevierStyleCrossRefs" href="#bib0495"><span class="elsevierStyleSup">30,31</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">Therefore, both biological and mechanical alterations have been shown to be related to the onset or progression of knee OA, however, no clear association has been shown between these components in the current literature. To our knowledge, only one study has investigated the relationship between uCTX-II and knee loads,<a class="elsevierStyleCrossRef" href="#bib0505"><span class="elsevierStyleSup">32</span></a> with the authors finding an association between uCTX-II level and KAM and KAAI during walking. However, this association became non-significant after adjusting for disease severity and walking speed. In addition, they did not investigate the association of uCTX-II with KFM nor with pain and physical function. As KFM has been shown to be associated with cartilage thickness in the early stages of the disease,<a class="elsevierStyleCrossRef" href="#bib0455"><span class="elsevierStyleSup">22</span></a> its addition could improve the understanding of the potential relationship between uCTX-II and knee joint load.</p><p id="par0040" class="elsevierStylePara elsevierViewall">Only a few studies have explored the relationship between biomarkers<a class="elsevierStyleCrossRef" href="#bib0510"><span class="elsevierStyleSup">33</span></a> and knee load,<a class="elsevierStyleCrossRef" href="#bib0515"><span class="elsevierStyleSup">34</span></a> with pain and physical function. As OA is a persistent condition, current treatments target pain and physical function improvement/maintenance.<a class="elsevierStyleCrossRefs" href="#bib0360"><span class="elsevierStyleSup">3,7,19,35,36</span></a> Exploring how mechanical and biological alterations influence these parameters can bring new perspectives for pain and disability control and treatment strategies.</p><p id="par0045" class="elsevierStylePara elsevierViewall">Therefore, the aim of this study was to investigate the association between uCTX-II, knee joint moments (KAM, KFM, and KAAI), pain, and physical function in individuals with medial knee OA. We hypothesized that uCTX-II level is associated with pain, physical function, and knee joint moments (KAM, KFM, and KAAI).</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Design</span><p id="par0050" class="elsevierStylePara elsevierViewall">A cross-sectional design was used.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Sample size</span><p id="par0055" class="elsevierStylePara elsevierViewall">A priori sample size calculation was performed by using G* Power 3.1. The calculation aimed to reach a statistical significance level of 0.05, power of 80%, and a medium effect size (<span class="elsevierStyleItalic">d</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.5), considering a correlation test and one tail. Based on these parameters, our sample size calculation estimated the need for at least 21 subjects.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Subjects</span><p id="par0060" class="elsevierStylePara elsevierViewall">Community-based volunteers were recruited through advertisements in local newspapers, university websites, and social media. All volunteers underwent anteroposterior semiflexed weight-bearing, lateral view, and skyline view radiographs and were then classified according to the Kellgren and Lawrence (KL) criteria.<a class="elsevierStyleCrossRef" href="#bib0530"><span class="elsevierStyleSup">37</span></a> As the medial knee compartment is the most commonly affected,<a class="elsevierStyleCrossRef" href="#bib0535"><span class="elsevierStyleSup">38</span></a> only individuals with predominantly medial knee OA and medial knee pain were included. Therefore, potential participants were excluded if they presented KL grades in the lateral or patellofemoral compartment greater than the medial compartment.<a class="elsevierStyleCrossRef" href="#bib0540"><span class="elsevierStyleSup">39</span></a> In addition, potential participants were excluded for any of the following criteria: body mass index (BMI) greater than 35<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span> to reduce soft tissue artifact of marker movement during quantitative gait analysis, unable to walk unaided for at least 10<span class="elsevierStyleHsp" style=""></span>min, history of hip or knee arthroplasty or osteotomy, had undergone knee surgery or other nonpharmacological treatment in the 6 months prior to the study.<a class="elsevierStyleCrossRef" href="#bib0545"><span class="elsevierStyleSup">40</span></a> For participants with bilateral knee OA, the most symptomatic knee was evaluated. All participants provided written informed consent and the present study was approved by the Ethics committee for Human Investigations at the Universidade Federal de São Carlos (UFSCar), São Carlos, SP, Brazil (CAAE: 41716015.0.0000.5504).</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Variables</span><p id="par0065" class="elsevierStylePara elsevierViewall">The dependent variable was uCTX-II level, while independent variables were pain, physical function, and variables obtained from three-dimensional gait analysis.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Dependent variable</span><p id="par0070" class="elsevierStylePara elsevierViewall">The uCTX-II level was measured using fasting urine collected in the early morning (within 2<span class="elsevierStyleHsp" style=""></span>h of waking), second void, and all samples were stored frozen at −80<span class="elsevierStyleHsp" style=""></span>°C until analysis. The uCTX-II level was determined using an enzyme linked immunosorbent assay (ELISA) based on a monoclonal antibody raised against a linear six amino acid epitope of human type II collagen C telopeptide (Urine CartiLaps®ELISA).<a class="elsevierStyleCrossRef" href="#bib0465"><span class="elsevierStyleSup">24</span></a> The uCTX-II level was corrected with creatinine concentration (mmol/L) in the sample using an enzymatic colorimetric routine method.<a class="elsevierStyleCrossRef" href="#bib0550"><span class="elsevierStyleSup">41</span></a> For this correction we used the formula: corrected CTX-II Value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1000<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>Urine CartiLaps (μg/L)/Creatinine (mmol/L).<a class="elsevierStyleCrossRef" href="#bib0555"><span class="elsevierStyleSup">42</span></a> The intra- and inter-assay coefficients of variation are ≤7.8% and ≤12.2%, respectively.<a class="elsevierStyleCrossRef" href="#bib0555"><span class="elsevierStyleSup">42</span></a> All analyses were conducted in duplicate and blinded.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Independent variables</span><p id="par0075" class="elsevierStylePara elsevierViewall">Self-reported pain and physical function were measured using The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). The WOMAC index is a disease-specific, tri-dimensional, self-administered questionnaire used to assess health status and health outcomes in individuals with knee OA. The WOMAC contains 24 questions and consists of three subscales: pain, stiffness, and physical function with five, two, and seventeen questions, respectively. Answers for each of the 24 questions are scored on a five-point Likert scales (none<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0, slight<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1, moderate<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2, severe<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>3, extreme<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4) with total scores ranging from 0 to 96. Higher scores indicate worse disease severity. The WOMAC questionnaire is well recognized for its adequate validity, reliability, and responsiveness for individuals with knee OA.<a class="elsevierStyleCrossRef" href="#bib0560"><span class="elsevierStyleSup">43</span></a> We used the Portuguese version of the WOMAC.<a class="elsevierStyleCrossRef" href="#bib0565"><span class="elsevierStyleSup">44</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">Objective physical function was measured using the 40<span class="elsevierStyleHsp" style=""></span>m walk test. The 40<span class="elsevierStyleHsp" style=""></span>m walk test was developed to evaluate the ability to walk quickly over short distances, which is an important activity for a good quality of life. This activity is usually limited in individuals with knee OA.<a class="elsevierStyleCrossRef" href="#bib0570"><span class="elsevierStyleSup">45</span></a> Two marks on the ground were placed 10<span class="elsevierStyleHsp" style=""></span>m apart and a cone was placed 2<span class="elsevierStyleHsp" style=""></span>m beyond each end of the 10<span class="elsevierStyleHsp" style=""></span>m walkway. Participants, wearing comfortable clothes and shoes, were instructed to walk as fast as possible, without running, along the walkway between the two cones, turn around the cone at the end, return, and repeat for a total of 40<span class="elsevierStyleHsp" style=""></span>m. Participants were timed for this test and based on this time, we calculated the speed as suggested by previous studies.<a class="elsevierStyleCrossRefs" href="#bib0570"><span class="elsevierStyleSup">45–47</span></a> A previous study<a class="elsevierStyleCrossRef" href="#bib0585"><span class="elsevierStyleSup">48</span></a> found that intra-class correlation coefficient for inter-rater reliability was 0.96 (95% CI 0.93, 0.98) and standard error of measurement was 0.06 (95% CI 0.05, 0.08). The same study<a class="elsevierStyleCrossRef" href="#bib0585"><span class="elsevierStyleSup">48</span></a> found that intra-rater reliability was 0.92 (95% CI 0.82, 0.96) and the SEM was 0.07 (95% CI 0.06, 0.09).</p><p id="par0085" class="elsevierStylePara elsevierViewall">Three-dimensional gait analysis was performed to measure the KAAI and peak KAM and KFM. Gait was evaluated using an eight-camera Qualisys Oqus 300 motion analysis system (Qualisys, Gothenburg, Sweden) and a force plate (Bertec Corporation, OH, USA) to record kinematic and kinetic data at sampling frequencies of 120 and 1200<span class="elsevierStyleHsp" style=""></span>Hz, respectively. Participants walked barefoot at a self-selected speed along an 8<span class="elsevierStyleHsp" style=""></span>m walkway. For each subject, a static calibration trial followed by five successful trials were collected for kinetic and kinematic analysis. The following reflective markers were located on anatomical landmarks bilaterally<a class="elsevierStyleCrossRefs" href="#bib0590"><span class="elsevierStyleSup">49,50</span></a>: sternal notch, spinous process of C7, acromion, iliac crests, anterior and posterior superior iliac spines, greater trochanters of the femur, medial and lateral femoral epicondyles, medial and lateral malleoli, first, second and fifth metatarsal heads, base of the fifth metatarsal, and calcaneus. Four clusters built with 4 noncollinear markers were placed over the lateral side of thighs and shanks. Two additional clusters built with 3 noncollinear markers were positioned on the spinous process of T4 and T12. Markers on the medial and lateral malleoli, femoral epicondyles, C7, greater trochanters, and acromion were removed after the static standing calibration trial was performed. These markers were used to construct the anatomical coordinate system for the trunk, pelvis, thigh, shank, and foot segments.</p><p id="par0090" class="elsevierStylePara elsevierViewall">The ankle and knee joint centers were calculated as midpoints between the malleoli and femoral epicondyles, respectively.<a class="elsevierStyleCrossRef" href="#bib0600"><span class="elsevierStyleSup">51</span></a> The hip joint center was measured using the regression model based on the anterior and posterior superior iliac spine markers.<a class="elsevierStyleCrossRef" href="#bib0605"><span class="elsevierStyleSup">52</span></a> The pelvic coordinate system was built from markers on the anterior and posterior superior iliac spines and then contralateral pelvic drop was measured using a laboratory coordinate system as the reference. The trunk coordinate system was built from markers on the acromion and iliac crest (bilaterally) and the ipsilateral trunk lean was measured using a laboratory coordinate system as the reference. For hip, knee and ankle kinematics we used pelvis, thigh, and shank as local coordinate system respectively. The angular motion of all assessed joints was defined using Cardan angles in accordance with the recommendations of the International Society of Biomechanics.<a class="elsevierStyleCrossRefs" href="#bib0610"><span class="elsevierStyleSup">53,54</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">The kinetic and kinematic data were processed using Qualisys Track Manager (Qualisys AB) and Visual3D software (C-motion Inc., Rockville, MD, USA). The kinetic and kinematic data were filtered using a fourth-order, zero-lag, low-pass Butterworth filter at cut-off frequencies of 6 and 25<span class="elsevierStyleHsp" style=""></span>Hz, respectively. Smoothing parameters were set by residual analysis and visual inspection of the processed kinematic and kinetic data. The stance phase was determined using a force plate, where the initial contact (IC) and toe-off (TO) were identified based on a force threshold of 20<span class="elsevierStyleHsp" style=""></span>N.<a class="elsevierStyleCrossRef" href="#bib0620"><span class="elsevierStyleSup">55</span></a> The kinetic and kinematic data were normalized to 101 points. KFM, KAM, and KAAI were calculated using three-dimensional inverse dynamics.<a class="elsevierStyleCrossRefs" href="#bib0625"><span class="elsevierStyleSup">56,57</span></a> KFM and KAM were normalized by the body mass and height (%Bw*Ht), while KAAI was normalized by the body mass, height, and time (%Bw*Ht*s). The peak of each variable throughout the stance phase was used for analysis.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Statistical analyses</span><p id="par0100" class="elsevierStylePara elsevierViewall">All statistical analyses were performed using SPSS software (Version 20, SPSS Inc., Chicago, IL, USA). The normality of distribution of all variables was analyzed using the Shapiro–Wilk test. As the data presented a normal distribution a Pearson's product-moment correlation coefficient were used to examine the relationship between uCTX-II level, knee moments, symptoms, and physical function. For all significant correlations (uCTX-II with pain, physical function, and the 40<span class="elsevierStyleHsp" style=""></span>m walk test) we processed a hierarchical linear regression. Based on previous studies, we controlled our analysis for OA severity (mild or moderate according to the KL score)<a class="elsevierStyleCrossRefs" href="#bib0470"><span class="elsevierStyleSup">25,58</span></a> and BMI (kg/m<span class="elsevierStyleSup">2</span>),<a class="elsevierStyleCrossRef" href="#bib0640"><span class="elsevierStyleSup">59</span></a> using these variables as the first step of the hierarchical linear regression. The second step uCTX-II levels was added to the model, which means that all changes in the results of regression analysis (<span class="elsevierStyleItalic">R</span>, <span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span>, Δ<span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span>, and <span class="elsevierStyleItalic">p</span>-value), from the first step to the second step, were due to uCTX-II levels inclusion. An alpha level of 0.05 was set for all statistical tests.</p></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Results</span><p id="par0105" class="elsevierStylePara elsevierViewall">A total of 40 potential participants presenting with knee pain were evaluated, however, 15 were excluded: two had a positive test for an anterior cruciate ligament injury, two had significant low back pain (more pain in their back than knee), two presented with hip pain, and the other nine presented with other knee compartments as or more affected than the medial knee compartment (7 for the patellofemoral joint and 2 for the lateral knee compartment). Twenty-five subjects with knee OA were eligible for the study. For diagnosis, we considered the clinical, radiographic, and history criteria of the American College of Rheumatology.<a class="elsevierStyleCrossRef" href="#bib0645"><span class="elsevierStyleSup">60</span></a> Group characteristics and descriptive values are presented in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. A significant correlation between uCTX-II level and pain, physical function, 40<span class="elsevierStyleHsp" style=""></span>m walk test, and gait speed was found (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> and <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>) while no significant correlation was found with the other measures.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0110" class="elsevierStylePara elsevierViewall">After controlling for severity and BMI through a hierarchical linear regression we found that severity and BMI explained 35% of the variance of the WOMAC pain score, while uCTX-II level explained an additional 9% of this variance (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). In addition, severity and BMI explained 39% of the variance in the 40<span class="elsevierStyleHsp" style=""></span>m walk test, while uCTX-II level explained an additional 7% of this variance (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). Finally, uCTX-II level explained 27% of the variance in the WOMAC Physical Function Score (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Discussion</span><p id="par0115" class="elsevierStylePara elsevierViewall">This cross-sectional study provides evidence that uCTX-II level is positively associated with pain (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.49) and physical function (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.53), but negatively associated with the 40<span class="elsevierStyleHsp" style=""></span>m walk test (<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>−0.48), even after controlling for OA severity and BMI.</p><p id="par0120" class="elsevierStylePara elsevierViewall">One objective of this study was to investigate the association between uCTX-II level and knee joint moments. Although these variables are related to the onset and progression of the disease, our study could not confirm this association. An earlier study<a class="elsevierStyleCrossRef" href="#bib0505"><span class="elsevierStyleSup">32</span></a> has reported an association of uCTX-II level with KAM and KAAI, however, when disease severity and walking speed were controlled for in the analysis the association was no longer significant. The present study investigated this relationship not only using the KAM and KAAI, but also KFM as an important measure to improve the ability to measure the medial knee load.<a class="elsevierStyleCrossRef" href="#bib0450"><span class="elsevierStyleSup">21</span></a> There are possible reasons why we did not find an association between uCTX-II and knee joint moments. First, although we used three parameters of medial knee load (KAM, KFM, and KAAI), they do not represent the total knee load. However, as we included subjects with predominantly medial KOA as it is the most commonly affected compartment, the medial knee load was the focus of our analysis. Second, we measured the fasting level of uCTX-II through a sample of the second void of morning urine, which means that our volunteers had limited physical effort in the hours prior to the sample collection. This may have influenced our findings given that the biomarker response to a mechanical stimulus has been shown to be more sensitive to understand the relationship between cartilage metabolism and knee load than only resting levels.<a class="elsevierStyleCrossRefs" href="#bib0650"><span class="elsevierStyleSup">61,62</span></a> For this reason, future studies should explore the stimulus-response approach to better understand the relationship between uCTX-II level and knee joint load. Third, although uCTX-II has been used to analyze individuals with knee OA, perhaps uCTX-II level was not sensitive enough to correlate with medial knee load measures because of its systemic characteristics. For this reason, future studies may consider using synovial fluid from the knee to investigate this relationship, as it would provide responses specifically from the cartilage of the knee.</p><p id="par0125" class="elsevierStylePara elsevierViewall">The present study showed that uCTX-II level explained part of the variance in WOMAC pain score (9%), WOMAC physical function score (27%), and the 40<span class="elsevierStyleHsp" style=""></span>m walk test (7%). In addition, the influence of BMI and disease severity were controlled as both measures explained 35% of the WOMAC pain score and 39% of the variance in the 40<span class="elsevierStyleHsp" style=""></span>m walk test. In contrast to these findings, Garnero et al.<a class="elsevierStyleCrossRef" href="#bib0510"><span class="elsevierStyleSup">33</span></a> found no correlation of uCTX-II levels with the WOMAC total score or subscales (pain, stiffness, and physical function). However, Garnero's et al.<a class="elsevierStyleCrossRef" href="#bib0510"><span class="elsevierStyleSup">33</span></a> study did not control the influence of BMI and disease severity which may have influenced their results.</p><p id="par0130" class="elsevierStylePara elsevierViewall">Taking into account that uCTX-II levels represent cartilage destruction, and considering that this is one of the factors influencing knee pain in individuals with knee OA,<a class="elsevierStyleCrossRef" href="#bib0660"><span class="elsevierStyleSup">63</span></a> finding a variation of 9% in WOMAC pain score assigned to the uCTX-II level is quite reasonable. Although the present study cannot establish a causal relationship between uCTX-II level and pain, the results are in agreement with previous studies that have verified that uCTX-II can be used to predict knee pain in patients with knee OA.<a class="elsevierStyleCrossRefs" href="#bib0355"><span class="elsevierStyleSup">2,27</span></a> In the same way, uCTX-II predicted 27% of the variance in WOMAC physical function score and 7% in the 40<span class="elsevierStyleHsp" style=""></span>m walk test, suggesting that the higher the level of uCTX-II, the worse the self-reported physical function and the worse physical performance during a fast walk. Considering that decreased physical function is related to pain,<a class="elsevierStyleCrossRefs" href="#bib0665"><span class="elsevierStyleSup">64–66</span></a> and also increased uCTX-II level is related to increased pain, a reduction in physical function, as uCTX-II level increases, could justify the presence of knee pain. However, as we did not measure pain during 40<span class="elsevierStyleHsp" style=""></span>m walk test, it is not possible to use knee pain to explain our results. Further investigation is necessary to clarify the mechanism of the influence of uCTX-II on pain and physical function in individuals with medial knee OA. Moreover, longitudinal studies would clarify the causal relationship between uCTX-II, pain, and physical function.</p><p id="par0135" class="elsevierStylePara elsevierViewall">The present study has several limitations. We did not control for the menstrual cycle of our female participants, and postmenopausal women usually present high levels of uCTX-II.<a class="elsevierStyleCrossRef" href="#bib0470"><span class="elsevierStyleSup">25</span></a> However, as we used a correlation and regression analyses, subjects were analyzed using their own data. We also did not evaluate the level of physical activity,<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">2</span></a> although it may have some influence in our findings, our subjects had limited physical effort before the collection as urine samples were collected in the morning. In addition, considering that distinct levels of physical activity can result in different level of knee pain,<a class="elsevierStyleCrossRef" href="#bib0680"><span class="elsevierStyleSup">67</span></a> we think that this information should be considered in future studies. The small sample size in this study may have reduced statistical power and the ability to make conclusions. Even with a small sample size, it was possible to find some statistically significant results and to provide new information regarding the relationship between cartilage metabolism and mechanical joint load. We also think that not measuring pain during 40<span class="elsevierStyleHsp" style=""></span>m walk test and during the kinematic/kinetic gait assessment is a limitation, as we understand that this information would help to discuss our findings and also would help to explain participants’ performance in this functional test. We only included subjects with a BMI<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>35<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span> to reduce skin movement artifacts during gait analysis. Nonetheless, given that many people with knee OA are overweight or obese, these results can be partially generalized to individuals with knee OA. In the same way, as we included only subjects with predominantly medial knee OA, although it is the most affected compartment of the knee, our findings cannot be generalized to individuals with lateral and/or patellofemoral knee OA. Finally, our sample performed barefoot walking for gait analysis, we may have influenced our results as recent studies have shown reduced peak ground reaction forces during barefoot walking when compared to shod conditions.<a class="elsevierStyleCrossRefs" href="#bib0685"><span class="elsevierStyleSup">68,69</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">In conclusion, greater uCTX-II level is associated with higher pain and reduced physical function and 40<span class="elsevierStyleHsp" style=""></span>m walk test performance in individuals with medial knee OA.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Conflicts of interest</span><p id="par0145" class="elsevierStylePara elsevierViewall">The authors declare no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:9 [ 0 => array:3 [ "identificador" => "xres1451032" "titulo" => "Highlights" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abst0005" ] ] ] 1 => array:3 [ "identificador" => "xres1451031" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] 2 => array:2 [ "identificador" => "xpalclavsec1323218" "titulo" => "Keywords" ] 3 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 4 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:7 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Design" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Sample size" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Subjects" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Variables" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Dependent variable" ] 5 => array:2 [ "identificador" => "sec0040" "titulo" => "Independent variables" ] 6 => array:2 [ "identificador" => "sec0045" "titulo" => "Statistical analyses" ] ] ] 5 => array:2 [ "identificador" => "sec0050" "titulo" => "Results" ] 6 => array:2 [ "identificador" => "sec0055" "titulo" => "Discussion" ] 7 => array:2 [ "identificador" => "sec0060" "titulo" => "Conflicts of interest" ] 8 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2019-03-22" "fechaAceptado" => "2020-02-14" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1323218" "palabras" => array:5 [ 0 => "Physical therapy" 1 => "Gait" 2 => "Biomarkers" 3 => "Walk test" 4 => "Disability evaluation" ] ] ] ] "tieneResumen" => true "highlights" => array:2 [ "titulo" => "Highlights" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall"><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">•</span><p id="par0005" class="elsevierStylePara elsevierViewall">There is no association between uCTX-II and the knee joint load.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">•</span><p id="par0010" class="elsevierStylePara elsevierViewall">The uCTX-II level is associated with pain and physical function.</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">•</span><p id="par0015" class="elsevierStylePara elsevierViewall">Knee joint load showed no association with pain and physical function.</p></li></ul></p></span>" ] "resumen" => array:1 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Considering the osteoarthritis (OA) model that integrates the biological, mechanical, and structural components of the disease, the present study aimed to investigate the association between urinary C-Telopeptide fragments of type II collagen (uCTX-II), knee joint moments, pain, and physical function in individuals with medial knee OA.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Twenty-five subjects radiographically diagnosed with knee OA were recruited. Participants were evaluated through three-dimensional gait analysis, uCTX-II level, the WOMAC pain and physical function scores, and the 40<span class="elsevierStyleHsp" style=""></span>m walk test. The association between these variables was investigated using Pearson's product-moment correlation, followed by a hierarchical linear regression, controlled by OA severity and body mass index (BMI).</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">No relationship was found between uCTX-II level and knee moments. A significant correlation between uCTX-II level and pain, physical function, and the 40<span class="elsevierStyleHsp" style=""></span>m walk test was found. The hierarchical linear regression controlling for OA severity and BMI showed that uCTX-II level explained 9% of the WOMAC pain score, 27% of the WOMAC physical function score, and 7% of the 40<span class="elsevierStyleHsp" style=""></span>m walk test.</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Greater uCTX-II level is associated with higher pain and reduced physical function and 40<span class="elsevierStyleHsp" style=""></span>m walk test performance in individuals with medial knee OA.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0015" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] ] "multimedia" => array:4 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 543 "Ancho" => 2508 "Tamanyo" => 60516 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Scatterplots illustrating the association between uCTX-II with WOMAC pain score (A), WOMAC physical function score (B), and 40<span class="elsevierStyleHsp" style=""></span>m walk test (C).</p>" ] ] 1 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Data are mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation or frequency (proportion).</p><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">KOA, knee osteoarthritis; BMI, body mass index; WOMAC, Western Ontario & McMaster Universities Osteoarthritis Index; KL, Kellgren and Lawrence classification; uCTX-II, urinary C-Telopeptide fragments of type II collagen; ng, nanogram; mmol, millimole; crea, creatinine; N<span class="elsevierStyleHsp" style=""></span>m, newton meter; Ht, height; KAM, knee adduction moment; KFM, knee flexion moment; KAAI, knee adduction angular impulse.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">KOA group (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>25) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Female (n, %)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 (48) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Age (years)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Height (m)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Mass (kg)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">79.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">BMI (kg/m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.9 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">WOMAC score</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Pain (0–20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">8.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Stiffness (0–8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.4<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.9 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Physical Function (0–68) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Walk test – 40<span class="elsevierStyleHsp" style=""></span>m (m/s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Severity (KL)</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grade 2 (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15 (60) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Grade 3 (<span class="elsevierStyleItalic">n</span>, %) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10 (40) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Gait speed (m/s)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.18<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.16 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">uCTX-II (ng/mmol crea)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>14.9 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Peak KAM (N</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m/kg</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Ht)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.02<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.82 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Peak KFM (N</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m/kg</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Ht)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.56<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.48 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">KAAI (N</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">m/kg</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">s</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Ht)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.19<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.46 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2495340.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Demographic and subject gait characteristics.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">uCTX-II Level r \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WOMAC pain score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.49<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WOMAC physical function score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.53<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Walk test (40<span class="elsevierStyleHsp" style=""></span>m) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.48<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Peak KAM (N<span class="elsevierStyleHsp" style=""></span>m/kg<span class="elsevierStyleHsp" style=""></span>Ht) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.89 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Peak KFM (N<span class="elsevierStyleHsp" style=""></span>m/kg<span class="elsevierStyleHsp" style=""></span>Ht) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.55 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">KAAI (N<span class="elsevierStyleHsp" style=""></span>m/kg<span class="elsevierStyleHsp" style=""></span>s<span class="elsevierStyleHsp" style=""></span>Ht) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.90 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Gait speed (m/s) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−0.54<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age (years) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.10 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI (kg/m<span class="elsevierStyleSup">2</span>) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.75 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2495341.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Significant correlation (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05).</p> <p class="elsevierStyleNotepara" id="npar0010">uCTX-II, urinary C-Telopeptide fragments of type II collagen; WOMAC, Western Ontario & McMaster Universities Osteoarthritis Index; BMI, body mass index; N<span class="elsevierStyleHsp" style=""></span>m, newton meter; Ht, height; KAM, knee adduction moment; KFM, knee flexion moment; KAAI, knee adduction angular impulse.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Pearson correlation coefficient (<span class="elsevierStyleItalic">r</span>) between uCTX-II level, knee moments, symptoms, gait speed, age, BMI and physical function.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Dependent variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Step \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Independent variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">R</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Δ<span class="elsevierStyleItalic">R</span><span class="elsevierStyleSup">2</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>-value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WOMAC pain score</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Severity and BMI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.59 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.35<a class="elsevierStyleCrossRef" href="#tblfn0010">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">uCTX-II \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.67 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.44<a class="elsevierStyleCrossRef" href="#tblfn0010">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.09 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WOMAC physical function score</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Severity and BMI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.21 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">uCTX-II \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.67 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.45<a class="elsevierStyleCrossRef" href="#tblfn0010">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Walk test (40<span class="elsevierStyleHsp" style=""></span>m)</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Severity and BMI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.62 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.39<a class="elsevierStyleCrossRef" href="#tblfn0010">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.39 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">uCTX-II \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.46<a class="elsevierStyleCrossRef" href="#tblfn0010">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.07 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2495342.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Significant difference (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05).</p> <p class="elsevierStyleNotepara" id="npar0020">WOMAC, Western Ontario & McMaster Universities Osteoarthritis Index; BMI, body mass index; uCTX-II, urinary C-Telopeptide fragments of type II collagen.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Hierarchical linear regression predicting pain and physical function.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:69 [ 0 => array:3 [ "identificador" => "bib0350" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "T. 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