{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T17:28:32Z","timestamp":1767374912629,"version":"build-2065373602"},"reference-count":101,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T00:00:00Z","timestamp":1747872000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Euro Eating Disorders Rev"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background\u2010Objectives<\/jats:title>\n                    <jats:p>Obesity is an increasing global public health problem with severe correlated chronic diseases (physical and mental disorders). The aim of this study is to identify nutrient patterns among young adults who are overweight or obese based on their dietary intake, and to explore the associations between nutrient patterns and sociodemographic and clinical variables (anthropometric, cardiometabolic, and psychological).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A voluntary response (non\u2010random) sample involving\n                      <jats:italic>N<\/jats:italic>\n                      \u00a0=\u00a0188 overweight and obese university students (men and women, with a mean age of 20.8\u00a0years [SD\u00a0=\u00a02.6]) was recruited. Pregnancy, endocrine\u2010genetic disorders, weight\u2010loss diet and use of treatments that could affect endocrine parameters were defined as exclusion criteria.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Three nutritional patterns were identified, that explained 69% of the total variance: (a) NP1, characterised by a high intake of minerals and vitamins; (b) NP2, characterised by a high intake of carbohydrates; and (c) NP3, characterised by a high intake of fats and sodium. Higher mean scores in NP1 were related to female gender (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.015), while higher NP1 and NP2 levels were associated to divorced\/separated marital status (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.007 and\n                      <jats:italic>p\u00a0=<\/jats:italic>\n                      \u00a00.041, respectively). Path analysis revealed a direct relationship between being within metabolically unhealthy obesity (MUO) levels and higher levels of anxiety (standardised coefficient St.Coeff\u00a0=\u00a00.14,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.049), depression (St.Coeff\u00a0=\u00a00.17,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.014) and stress (St.Coeff\u00a0=\u00a00.13,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.048). In addition, the metabolic risk profile (the classification into MUO vs. MHO) achieved a mediational link between the factor scores for NP1 and a worse psychological state.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>This study provides empirical knowledge to design more effective prevention and treatment plans for young adults who are overweight or obese, considering the impact nutritional patterns have on metabolic and psychopathological distress.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/erv.3209","type":"journal-article","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T01:44:28Z","timestamp":1747964668000},"page":"1190-1203","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Association Between Nutrition Patterns and Metabolic and Psychological State Among Young Adults"],"prefix":"10.1002","volume":"33","author":[{"given":"Geovanny Genaro","family":"Reivan Ortiz","sequence":"first","affiliation":[{"name":"Catholic University of Cuenca  Cuenca Ecuador"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roser","family":"Granero","sequence":"additional","affiliation":[{"name":"Department of Psychobiology and Methodology Universitat Aut\u00f2noma de Barcelona  Barcelona Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mar\u00eda Pilar","family":"Aranda\u2010Ram\u00edrez","sequence":"additional","affiliation":[{"name":"Faculty of Pharmacy University of Granada  Granada Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mar\u00eda Alejandra","family":"Aguirre\u2010Quezada","sequence":"additional","affiliation":[{"name":"Nursing Career Catholic University of Cuenca  Azogues Ecuador"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,5,22]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/10408398.2021.2025036"},{"key":"e_1_2_11_3_1","first-page":"25","article-title":"Phenotyping Obesity: A Focus on Metabolically Healthy Obesity and Metabolically Unhealthy Normal Weight","volume":"2","author":"Agius R.","year":"2024","journal-title":"Diabetes Metab Res Rev"},{"key":"e_1_2_11_4_1","first-page":"569","article-title":"Metabolic Syndrome in Type 2 Diabetes: Comparison of WHO, Modified ATPIII & IDF Criteria","volume":"62","author":"Ahmed A.","year":"2012","journal-title":"Journal of the Pakistan Medical Association"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1017\/s0954422424000088"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40211\u2010019\u20100302\u20109"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/nu13113925"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.paid.2006.09.018"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.37910\/RDP.2020.9.1.e195"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.11604\/pamj.2020.35.15.18818"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/00223980.1958.9916240"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033\u20102909.107.2.238"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.so.03.080177.001033"},{"key":"e_1_2_11_14_1","first-page":"12","article-title":"Metabolically Healthy Obesity","volume":"3","author":"Bl\u00fcher M.","year":"2020","journal-title":"Endocrine Reviews"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.metabol.2014.06.009"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.appet.2015.05.003"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/nu12102962"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0009971"},{"key":"e_1_2_11_19_1","first-page":"3","article-title":"Cut\u2010Off Values for Insulin Resistance, Insulin Sensitivity and Insulin Secretion Indices Derived From the HOMA Formula and the HOMAZ Program, Interpretation of the Data. 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