{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T08:41:57Z","timestamp":1767084117444,"version":"build-2065373602"},"reference-count":41,"publisher":"Elsevier BV","issue":"5","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,10,24]],"date-time":"2022-10-24T00:00:00Z","timestamp":1666569600000},"content-version":"vor","delay-in-days":23,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","primary-care-diabetes.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Primary Care Diabetes"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1016\/j.pcd.2022.08.007","type":"journal-article","created":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T07:57:11Z","timestamp":1662019031000},"page":"627-633","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":3,"title":["Metabolic syndrome in primary care: A latent variable analysis of electronic medical records"],"prefix":"10.1016","volume":"16","author":[{"given":"Wolfgang","family":"Rathmann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Miller","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rebecca","family":"Zingel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karel","family":"Kostev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.pcd.2022.08.007_bib1","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1007\/s00125-010-1659-2","article-title":"The rise and fall of the metabolic syndrome","volume":"53","author":"Borch-Johnsen","year":"2010","journal-title":"Diabetologia"},{"key":"10.1016\/j.pcd.2022.08.007_bib2","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1007\/s00125-009-1620-4","article-title":"The metabolic syndrome: useful concept or clinical tool? Report of a WHO Expert Consultation","volume":"53","author":"Simmons","year":"2010","journal-title":"Diabetologia"},{"key":"10.1016\/j.pcd.2022.08.007_bib3","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/1475-2840-6-22","article-title":"Impact of 4 different definitions used for the assessment of the prevalence of the Metabolic Syndrome in primary healthcare: The German Metabolic and Cardiovascular Risk Project (GEMCAS)","volume":"6","author":"Moebus","year":"2007","journal-title":"Cardiovasc. Diabetol."},{"key":"10.1016\/j.pcd.2022.08.007_bib4","doi-asserted-by":"crossref","first-page":"E779","DOI":"10.9778\/cmajo.20200007","article-title":"Feasibility of identifying and describing the burden of early-onset metabolic syndrome in primary care electronic medical record data: a cross-sectional analysis","volume":"8","author":"Boisvenue","year":"2020","journal-title":"CMAJ Open"},{"key":"10.1016\/j.pcd.2022.08.007_bib5","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.annepidem.2005.06.049","article-title":"Is the factor structure of the metabolic syndrome comparable between men and women and across three ethnic groups: the Miami Community Health Study","volume":"16","author":"Shen","year":"2006","journal-title":"Ann. Epidemiol."},{"key":"10.1016\/j.pcd.2022.08.007_bib6","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.diabres.2010.02.013","article-title":"Latent class analysis of the metabolic syndrome","volume":"89","author":"Boyko","year":"2010","journal-title":"Diabetes Res Clin. Pr."},{"key":"10.1016\/j.pcd.2022.08.007_bib7","doi-asserted-by":"crossref","first-page":"1572","DOI":"10.1038\/s41598-018-38095-0","article-title":"Application of latent class analysis to identify metabolic syndrome components patterns in adults: tehran lipid and glucose study","volume":"9","author":"Ahanchi","year":"2019","journal-title":"Sci. Rep."},{"key":"10.1016\/j.pcd.2022.08.007_bib8","doi-asserted-by":"crossref","first-page":"113","DOI":"10.2337\/diacare.29.01.06.dc05-0862","article-title":"Single factor underlies the metabolic syndrome: a confirmatory factor analysis","volume":"29","author":"Pladevall","year":"2006","journal-title":"Diabetes Care"},{"key":"10.1016\/j.pcd.2022.08.007_bib9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1475-2840-11-128","article-title":"A confirmatory factor analysis of the metabolic syndrome in adolescents: an examination of sex and racial\/ethnic differences","volume":"11","author":"Gurka","year":"2012","journal-title":"Cardiovasc. Diabetol."},{"key":"10.1016\/j.pcd.2022.08.007_bib10","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1007\/s10654-006-9004-2","article-title":"Evaluation and comparison of models of metabolic syndrome using confirmatory factor analysis","volume":"21","author":"Shah","year":"2006","journal-title":"Eur. J. Epidemiol."},{"key":"10.1016\/j.pcd.2022.08.007_bib11","doi-asserted-by":"crossref","first-page":"459","DOI":"10.5414\/CP203320","article-title":"Basic characteristics and representativeness of the German Disease Analyzer database","volume":"56","author":"Rathmann","year":"2018","journal-title":"Int J. Clin. Pharm. Ther."},{"key":"10.1016\/j.pcd.2022.08.007_bib12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v077.i05","article-title":"Continuous time structural equation modeling with R package ctsem","volume":"77","author":"Driver","year":"2017","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.pcd.2022.08.007_bib13","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1111\/j.2044-8317.1984.tb00802.x","article-title":"Some algebraic properties of the Reticular Action Model for moment structures","volume":"37","author":"McArdle","year":"1984","journal-title":"Br. J. Math. Stat. Psychol."},{"key":"10.1016\/j.pcd.2022.08.007_bib14","first-page":"68","article-title":"mice: Multivariate imputation by chained equations in R","volume":"1","author":"Buuren","year":"2010","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.pcd.2022.08.007_bib15","series-title":"Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching. Structural Equation Modeling: A Second Course","first-page":"439","article-title":"Nonnormal and categorical data in structural equation modeling","author":"Finney","year":"2013"},{"key":"10.1016\/j.pcd.2022.08.007_bib16","doi-asserted-by":"crossref","first-page":"887","DOI":"10.3389\/fpsyg.2019.00887","article-title":"Scaling the variance of a latent variable while assuring constancy of the model","volume":"10","author":"Schweizer","year":"2019","journal-title":"Front Psychol."},{"key":"10.1016\/j.pcd.2022.08.007_bib17","doi-asserted-by":"crossref","first-page":"409","DOI":"10.3758\/s13428-018-1055-2","article-title":"RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods","volume":"51","author":"Xia","year":"2019","journal-title":"Behav. Res. Methods"},{"key":"10.1016\/j.pcd.2022.08.007_bib18","unstructured":"R. Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. R Core Team. Published 2018. Accessed November 24, 2020. https:\/\/www.r-project.org\/."},{"key":"10.1016\/j.pcd.2022.08.007_bib19","first-page":"1","article-title":"blavaan: Bayesian structural equation models via parameter expansion","volume":"85","author":"Merkle","year":"2016","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.pcd.2022.08.007_bib20","doi-asserted-by":"crossref","first-page":"154","DOI":"10.4103\/2249-4863.184642","article-title":"Correlation between the percentage of body fat and surrogate indices of obesity among adult population in rural block of Haryana","volume":"5","author":"Verma","year":"2016","journal-title":"J. Fam. Med. Prim. Care"},{"key":"10.1016\/j.pcd.2022.08.007_bib21","first-page":"1","article-title":"Correlation of fasting and postprandial plasma glucose with HbA1c in assessing glycemic control; systematic review and meta-analysis","volume":"73","author":"Ketema","year":"2005","journal-title":"Arch. Public Health"},{"key":"10.1016\/j.pcd.2022.08.007_bib22","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0169426","article-title":"A latent class analysis of multimorbidity and the relationship to socio-demographic factors and health-related quality of life. A national population-based study of 162,283 Danish adults","volume":"12","author":"Larsen","year":"2017","journal-title":"PloS One"},{"key":"10.1016\/j.pcd.2022.08.007_bib23","doi-asserted-by":"crossref","first-page":"108","DOI":"10.4103\/jrms.JRMS_858_18","article-title":"Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: a latent class analysis","volume":"24","author":"Ebrahimi","year":"2019","journal-title":"J. Res. Med. Sci."},{"key":"10.1016\/j.pcd.2022.08.007_bib24","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdiacomp.2021.107942","article-title":"Sex- specific clustering of metabolic syndrome components and incidence of cardiovascular disease: A latent class analysis in a population-based cohort study","author":"Ahanchi","year":"2021","journal-title":"J. Diabetes Complicat."},{"key":"10.1016\/j.pcd.2022.08.007_bib25","doi-asserted-by":"crossref","DOI":"10.2196\/18673","article-title":"Determinants of medical practice variation among primary care physicians: protocol for a three phase study","volume":"9","author":"Shashar","year":"2020","journal-title":"JMIR Res Protoc."},{"issue":"31","key":"10.1016\/j.pcd.2022.08.007_bib26","doi-asserted-by":"crossref","DOI":"10.1097\/MD.0000000000001314","article-title":"The origin of variation in primary care process and outcome indicators: patients, professionals, centers, and health districts","volume":"94","author":"Orueta","year":"2015","journal-title":"Medicine (Baltimore)"},{"key":"10.1016\/j.pcd.2022.08.007_bib27","first-page":"659","article-title":"Effect of nonmedical factors on family physicians' decisions about referral for consultation","volume":"147","author":"Langley","year":"1992","journal-title":"CMAJ"},{"key":"10.1016\/j.pcd.2022.08.007_bib28","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1007\/s11606-015-3475-3","article-title":"Variation among primary care physicians in the use of imaging for older patients with acute low back pain","volume":"31","author":"Tan","year":"2016","journal-title":"J. Gen. Intern. Med."},{"key":"10.1016\/j.pcd.2022.08.007_bib29","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1001\/archinternmed.2009.78","article-title":"Rapidity and modality of imaging for acute low back pain in elderly patients","volume":"169","author":"Pham","year":"2009","journal-title":"Arch. Intern Med."},{"key":"10.1016\/j.pcd.2022.08.007_bib30","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1186\/s12913-015-1106-7","article-title":"Race\/ethnicity, and Americans' perceptions and experiences of over- and under-use of care: a cross-sectional study","volume":"15","author":"Kressin","year":"2015","journal-title":"BMC Health Serv. Res."},{"key":"10.1016\/j.pcd.2022.08.007_bib31","first-page":"1658","article-title":"Patients' anxiety and expectations: how they influence family physicians' decisions to order cancer screening tests","volume":"51","author":"Haggerty","year":"2005","journal-title":"Can. Fam. Phys."},{"key":"10.1016\/j.pcd.2022.08.007_bib32","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1258\/135581902320432723","article-title":"How much variation in clinical activity is there between general practitioners? A multi-level analysis of decision-making in primary care","volume":"7","author":"Davis","year":"2002","journal-title":"J. Health Serv. Res. Policy"},{"key":"10.1016\/j.pcd.2022.08.007_bib33","doi-asserted-by":"crossref","first-page":"1791","DOI":"10.1007\/s11606-008-0780-0","article-title":"Physician personality characteristics and inquiry about mood symptoms in primary care","volume":"23","author":"Duberstein","year":"2008","journal-title":"J. Gen. Intern. Med."},{"key":"10.1016\/j.pcd.2022.08.007_bib34","first-page":"733","article-title":"Test ordering by GP trainees: effects of an educational intervention on attitudes and intended practice","volume":"62","author":"Morgan","year":"2016","journal-title":"Can. Fam. Phys."},{"key":"10.1016\/j.pcd.2022.08.007_bib35","doi-asserted-by":"crossref","first-page":"339","DOI":"10.4997\/jrcpe.2017.407","article-title":"Going beyond audit and feedback: towards behaviour-based interventions to change physician laboratory test ordering behaviour","volume":"47","author":"Meidani","year":"2017","journal-title":"J. R. Coll. Physicians Edinb."},{"key":"10.1016\/j.pcd.2022.08.007_bib36","article-title":"A single factor underlies the metabolic syndrome: a confirmatory factor analysis","volume":"29","author":"Pladevall","year":"2006","journal-title":"Diabetes Care"},{"key":"10.1016\/j.pcd.2022.08.007_bib37","doi-asserted-by":"crossref","DOI":"10.1136\/bmjdrc-2016-000195","article-title":"Influence of age on the prevalence and components of the metabolic syndrome and the association with cardiovascular disease","volume":"4","author":"Devers","year":"2016","journal-title":"BMJ Open Diab. Res. Care"},{"key":"10.1016\/j.pcd.2022.08.007_bib38","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1172\/JCI77812","article-title":"The pathogenesis of insulin resistance: integrating signaling pathways and substrate flux","volume":"126","author":"Samuel","year":"2016","journal-title":"J. Clin. Invest."},{"key":"10.1016\/j.pcd.2022.08.007_bib39","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1111\/j.1365-2796.1992.tb00494.x","article-title":"Evidence for an independent relationship between insulin resistance and fasting plasma HDL-cholesterol, triglyceride and insulin concentrations","volume":"231","author":"Laws","year":"1992","journal-title":"J. Intern. Med."},{"issue":"2_suppl","key":"10.1016\/j.pcd.2022.08.007_bib40","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1177\/2047487319886404","article-title":"The metabolic syndrome - what is it and how should it be managed?","volume":"26","author":"Nilsson","year":"2019","journal-title":"Eur. J. Prev. Cardiol."},{"key":"10.1016\/j.pcd.2022.08.007_bib41","first-page":"120","article-title":"Good practice of secondary data analysis (GPS): guidelines and recommendations","volume":"77","author":"Swart","year":"2015","journal-title":"Gesundheitswesen"}],"container-title":["Primary Care Diabetes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1751991822001371?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1751991822001371?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:57Z","timestamp":1761696057000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1751991822001371"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":41,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,10]]}},"alternative-id":["S1751991822001371"],"URL":"https:\/\/doi.org\/10.1016\/j.pcd.2022.08.007","relation":{},"ISSN":["1751-9918"],"issn-type":[{"type":"print","value":"1751-9918"}],"subject":[],"published":{"date-parts":[[2022,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Metabolic syndrome in primary care: A latent variable analysis of electronic medical records","name":"articletitle","label":"Article Title"},{"value":"Primary Care Diabetes","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.pcd.2022.08.007","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Authors. Published by Elsevier Ltd on behalf of Primary Care Diabetes Europe.","name":"copyright","label":"Copyright"}]}}