{"id":"https://openalex.org/W2509822818","doi":"https://doi.org/10.1080/03610918.2016.1171347","title":"Statistical frameworks for setting cutoff points of metabolic syndrome criteria","display_name":"Statistical frameworks for setting cutoff points of metabolic syndrome criteria","publication_year":2016,"publication_date":"2016-06-02","ids":{"openalex":"https://openalex.org/W2509822818","doi":"https://doi.org/10.1080/03610918.2016.1171347","mag":"2509822818"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2016.1171347","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2016.1171347","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tien-Mu Hsiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093651","display_name":"Landseed Hospital","ror":"https://ror.org/006arvw77","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210093651"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tien-Mu Hsiao","raw_affiliation_strings":["Department of Community Medicine, Landseed Hospital, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Community Medicine, Landseed Hospital, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I4210093651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054115875","display_name":"Huifen Chen","orcid":"https://orcid.org/0000-0001-8273-9295"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Huifen Chen","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Chung-Yuan University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Chung-Yuan University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059937976","display_name":"Chien\u2010Hua Wu","orcid":"https://orcid.org/0000-0002-9465-6224"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chien-Hua Wu","raw_affiliation_strings":["Department of Applied Mathematics, Chung-Yuan University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Chung-Yuan University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059937976"],"corresponding_institution_ids":["https://openalex.org/I151221077"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10779875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":"7","first_page":"5666","last_page":"5681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/odds","display_name":"Odds","score":0.8390854597091675},{"id":"https://openalex.org/keywords/odds-ratio","display_name":"Odds ratio","score":0.731126606464386},{"id":"https://openalex.org/keywords/cutoff","display_name":"Cutoff","score":0.6822046041488647},{"id":"https://openalex.org/keywords/metabolic-syndrome","display_name":"Metabolic syndrome","score":0.5026102066040039},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46054643392562866},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45218533277511597},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.44142186641693115},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35023361444473267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3501008450984955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3414439857006073},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.29175865650177},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.20891842246055603},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08931657671928406}],"concepts":[{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.8390854597091675},{"id":"https://openalex.org/C156957248","wikidata":"https://www.wikidata.org/wiki/Q1862216","display_name":"Odds ratio","level":2,"score":0.731126606464386},{"id":"https://openalex.org/C2778217198","wikidata":"https://www.wikidata.org/wiki/Q556977","display_name":"Cutoff","level":2,"score":0.6822046041488647},{"id":"https://openalex.org/C2780578515","wikidata":"https://www.wikidata.org/wiki/Q657193","display_name":"Metabolic syndrome","level":3,"score":0.5026102066040039},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46054643392562866},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45218533277511597},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.44142186641693115},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35023361444473267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3501008450984955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3414439857006073},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.29175865650177},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.20891842246055603},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08931657671928406},{"id":"https://openalex.org/C511355011","wikidata":"https://www.wikidata.org/wiki/Q12174","display_name":"Obesity","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2016.1171347","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2016.1171347","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306230","display_name":"American Heart Association","ror":"https://ror.org/013kjyp64"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W197378054","https://openalex.org/W1492634769","https://openalex.org/W1501993154","https://openalex.org/W1557189666","https://openalex.org/W1943668942","https://openalex.org/W1961916049","https://openalex.org/W1988697083","https://openalex.org/W2018707144","https://openalex.org/W2019734687","https://openalex.org/W2040067890","https://openalex.org/W2057515381","https://openalex.org/W2058055588","https://openalex.org/W2078807483","https://openalex.org/W2096773810","https://openalex.org/W2107732097","https://openalex.org/W2115303137","https://openalex.org/W2120336033","https://openalex.org/W2123289485","https://openalex.org/W2126319951","https://openalex.org/W2129448542","https://openalex.org/W2134293572","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4315650970","https://openalex.org/W1999597698","https://openalex.org/W2118847041","https://openalex.org/W2024025088","https://openalex.org/W2016483411","https://openalex.org/W2403534611","https://openalex.org/W2167134322","https://openalex.org/W2011603291","https://openalex.org/W2419315711","https://openalex.org/W2136790891"],"abstract_inverted_index":{"We":[0],"propose":[1],"three":[2,58,76,104,160],"statistical":[3,53],"frameworks":[4,77,105,161,176],"for":[5,146],"determining":[6],"the":[7,21,30,57,60,67,82,86,90,103,110,115,127,130,143,155,159,167,174],"cutoff":[8,61],"points":[9,62],"of":[10,16,47,71,85,102,119,132,158,166,183],"metabolic":[11],"syndrome":[12],"(MetS)":[13],"criteria,":[14],"consisting":[15],"six":[17,87],"components":[18],"that":[19,45,154,173],"are":[20,63,162],"same":[22],"as":[23],"in":[24,79,97],"widely":[25],"used":[26],"MetS":[27,40,140,184],"definitions,":[28,171],"e.g.,":[29],"2004":[31],"updated":[32,111],"NCEP-ATPIII":[33,112],"criteria.":[34],"Several":[35],"international":[36],"organizations":[37],"have":[38],"proposed":[39,175],"definitions;":[41],"no":[42],"literature":[43],"indicates":[44],"any":[46],"these":[48],"definitions":[49],"is":[50,126],"based":[51],"on":[52,81],"frameworks.":[54],"For":[55],"all":[56],"frameworks,":[59],"set":[64],"to":[65,178],"maximize":[66],"observed":[68],"prevalence":[69],"rate":[70],"stroke":[72,134,186],"and":[73,106,114,121,169,187],"DM.":[74,188],"The":[75,123],"differ":[78],"assumptions":[80],"joint":[83],"distribution":[84],"components.":[88],"Using":[89],"cohort":[91],"data":[92],"from":[93],"a":[94,180],"regional":[95],"hospital":[96],"Taiwan,":[98],"we":[99],"illustrate":[100],"applications":[101],"compare":[107],"them":[108],"with":[109,139,185],"definition":[113,118],"2009":[116],"consensus":[117,170],"IDF":[120],"AHA/NHLBI.":[122],"performance":[124],"measure":[125],"odds":[128,131,145,156],"ratio,":[129],"getting":[133],"or":[135],"DM":[136],"within":[137],"subjects":[138,147],"divided":[141],"by":[142],"analogous":[144],"without":[148],"MetS.":[149],"Our":[150],"numerical":[151],"results":[152],"show":[153],"ratios":[157],"higher":[163],"than":[164],"those":[165],"updated-NCEP":[168],"showing":[172],"seem":[177],"provide":[179],"better":[181],"association":[182]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}