{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T09:47:10Z","timestamp":1782035230404,"version":"3.54.5"},"reference-count":29,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2019,2,11]],"date-time":"2019-02-11T00:00:00Z","timestamp":1549843200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Fondo de Investigaci\u00f3n Sanitaria","award":["PI080800"],"award-info":[{"award-number":["PI080800"]}]},{"name":"Societat Catalana de Pneumologia SOCAP","award":["2052\/09"],"award-info":[{"award-number":["2052\/09"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sleep Research"],"published-print":{"date-parts":[[2019,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Central obesity is the main risk factor for obstructive sleep apnea (<jats:styled-content style=\"fixed-case\">OSA<\/jats:styled-content>). Whether there exists a central\u2010obesity anthropometric that better explains apnea\u2013hypopnea index (<jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content>) variability in the general population and in sleep cohorts is unknown, and this is even less explored among increasing grades of obesity. The objective of the study is to investigate whether there is an anthropometric that better explains <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content> variability in a sample of morbidly obese women awaiting bariatric surgery (<jats:styled-content style=\"fixed-case\">BS<\/jats:styled-content>). A prospective multicentre cross\u2010sectional study was conducted in consecutive women before <jats:styled-content style=\"fixed-case\">BS<\/jats:styled-content>. Demographic and anthropometric characteristics included age, body mass index (<jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>), neck circumference (<jats:styled-content style=\"fixed-case\">NC<\/jats:styled-content>), waist circumference (<jats:styled-content style=\"fixed-case\">WC<\/jats:styled-content>), hip circumference (<jats:styled-content style=\"fixed-case\">HC<\/jats:styled-content>) and waist\u2010to\u2010hip ratio (<jats:styled-content style=\"fixed-case\">WHR<\/jats:styled-content>). <jats:styled-content style=\"fixed-case\">OSA<\/jats:styled-content> was diagnosed by polysomnography. The capacity of anthropometrics to explain <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content> variance was investigated using regression linear models. A total of 115 women were evaluated: age, 44\u00a0\u00b1\u00a010\u00a0years; <jats:styled-content style=\"fixed-case\">BMI,<\/jats:styled-content> 46\u00a0\u00b1\u00a05\u00a0kg\/m<jats:sup>2<\/jats:sup>; <jats:styled-content style=\"fixed-case\">AHI,<\/jats:styled-content> 35\u00a0\u00b1\u00a026 events\/hr. <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content> was associated with all anthropometrics except weight, height and <jats:styled-content style=\"fixed-case\">HC<\/jats:styled-content>. The best univariate predictor was <jats:styled-content style=\"fixed-case\">WHR,<\/jats:styled-content> which accounted for 15% of <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content> variance. The simplest model (age\u00a0+\u00a0<jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>) accounted for 9%, which increased to 20% when applying more complex measurements (age\u00a0+\u00a0<jats:styled-content style=\"fixed-case\">BMI\u00a0<\/jats:styled-content>+\u00a0<jats:styled-content style=\"fixed-case\">NC\u00a0<\/jats:styled-content>+\u00a0<jats:styled-content style=\"fixed-case\">WC\u00a0<\/jats:styled-content>+\u00a0<jats:styled-content style=\"fixed-case\">HC<\/jats:styled-content>). The explanatory capacity did not change significantly when applying a simpler model (age\u00a0+\u00a0<jats:styled-content style=\"fixed-case\">WHR\u00a0<\/jats:styled-content>+\u00a0<jats:styled-content style=\"fixed-case\">NC<\/jats:styled-content>, 19%). In this female morbidly obese cohort, anthropometrics explained one\u2010fifth of <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content> variability. <jats:styled-content style=\"fixed-case\">WHR<\/jats:styled-content> is the best univariate parameter and models including waist and neck data provide more information than <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content> when explaining <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content> variability. Thus, even in young women with extreme obesity, <jats:styled-content style=\"fixed-case\">OSA<\/jats:styled-content> seems to be linked to a specific central\u2010obesity phenotype rather than to a whole\u2010obesity pattern.<\/jats:p>","DOI":"10.1111\/jsr.12830","type":"journal-article","created":{"date-parts":[[2019,2,11]],"date-time":"2019-02-11T08:20:25Z","timestamp":1549873225000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Anthropometrical phenotypes are important when explaining obstructive sleep apnea in female bariatric cohorts"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4702-0768","authenticated-orcid":false,"given":"Merc\u00e8","family":"Gasa","sequence":"first","affiliation":[{"name":"Sleep Unit Department of Respiratory Medicine Hospital Universitari de Bellvitge Hospitalet de Llobregat Spain"},{"name":"Section of Respiratory Medicine Bellvitge Biomedical Research Institute (IDIBELL) Hospitalet de Llobregat Spain"},{"name":"Department of Medicine Universtitat de Barcelona Campus Bellvitge Barcelona Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Respiratorias (CIBERES) Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carla","family":"L\u00f3pez\u2010Padr\u00f3s","sequence":"additional","affiliation":[{"name":"Sleep Unit Department of Respiratory Medicine Hospital Universitari de Bellvitge Hospitalet de Llobregat Spain"},{"name":"Section of Respiratory Medicine Bellvitge Biomedical Research Institute (IDIBELL) Hospitalet de Llobregat Spain"},{"name":"Department of Medicine Universtitat de Barcelona Campus Bellvitge Barcelona Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Respiratorias (CIBERES) Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carmen","family":"Monasterio","sequence":"additional","affiliation":[{"name":"Sleep Unit Department of Respiratory Medicine Hospital Universitari de Bellvitge Hospitalet de Llobregat Spain"},{"name":"Section of Respiratory Medicine Bellvitge Biomedical Research Institute (IDIBELL) Hospitalet de Llobregat Spain"},{"name":"Department of Medicine Universtitat de Barcelona Campus Bellvitge Barcelona Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Respiratorias (CIBERES) Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neus","family":"Salord","sequence":"additional","affiliation":[{"name":"Sleep Unit Department of Respiratory Medicine Hospital Universitari de Bellvitge Hospitalet de Llobregat Spain"},{"name":"Section of Respiratory Medicine Bellvitge Biomedical Research Institute (IDIBELL) Hospitalet de Llobregat Spain"},{"name":"Department of Medicine Universtitat de Barcelona Campus Bellvitge Barcelona Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Respiratorias (CIBERES) Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mercedes","family":"Mayos","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Respiratorias (CIBERES) Madrid Spain"},{"name":"Sleep Unit Department of Respiratory Medicine Hospital de la Santa Creu i Sant Pau Barcelona Spain"},{"name":"Department of Medicine Universtitat Autonoma de Barcelona Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N\u00faria","family":"Vilarrasa","sequence":"additional","affiliation":[{"name":"Department of Endocrinology and Nutrition University Hospital of Bellvitge\u2010IDIBELL Barcelona Spain"},{"name":"CIBERDEM\u2010CIBER de Diabetes y Enfermedades Metab\u00f3licas Asociadas Instituto de Salud Carlos III Madrid 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