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Results supported the hypothesis that <jats:sup>1<\/jats:sup>H\u2010MRS\u2013measured metabolite estimates are moderately intercorrelated (<jats:italic>M<\/jats:italic><jats:sub><jats:italic>r<\/jats:italic><\/jats:sub>\u2009=\u20090.42, <jats:italic>SD<\/jats:italic><jats:sub><jats:italic>r<\/jats:italic><\/jats:sub>\u2009=\u20090.11, <jats:italic>p<\/jats:italic>s &lt; 0.001), with more than one\u2010half (i.e., 57%) of the total variability in metabolite estimates explained by a single common factor. Older age was significantly associated with lower levels of the identified common metabolite variance (CMV) factor (<jats:italic>\u03b2<\/jats:italic>\u2009=\u2009\u22120.09, <jats:italic>p<\/jats:italic>\u2009=\u20090.048), despite not being associated with levels of any individual metabolite. Holding CMV factor levels constant, females had significantly lower levels of total choline (i.e., unique metabolite variance; <jats:italic>\u03b2<\/jats:italic>\u2009=\u2009\u22120.19, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), mirroring significant bivariate correlations between sex and total choline reported previously. Supplementary analysis of water\u2010referenced metabolite estimates (i.e., including tCr\/water) demonstrated lower, although still substantial, intercorrelations among metabolites, with 37% of total metabolite variance explained by a single common factor. If replicated, these results would suggest that applied <jats:sup>1<\/jats:sup>H\u2010MRS researchers shift their analytical framework from examining bivariate associations between individual metabolites and specialty\u2010dependent (e.g., clinical, research) variables of interest (e.g., using <jats:italic>t<\/jats:italic>\u2010tests) to examining multivariable (i.e., covariate) associations between multiple metabolites and specialty\u2010dependent variables of interest (e.g., using multiple regression).<\/jats:p>","DOI":"10.1002\/nbm.4907","type":"journal-article","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T10:54:30Z","timestamp":1674039270000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["More than one\u2010half of the variance in in vivo proton MR spectroscopy metabolite estimates is common to all metabolites"],"prefix":"10.1002","volume":"36","author":[{"given":"James J.","family":"Prisciandaro","sequence":"first","affiliation":[{"name":"Department of Psychiatry and Behavioral Sciences Medical University of South Carolina  Charleston South Carolina USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7148-292X","authenticated-orcid":false,"given":"Helge J.","family":"Z\u00f6llner","sequence":"additional","affiliation":[{"name":"Russell H. 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