Measurement invariance testing of the patient health questionnaire-9 (PHQ-9) across people with and without diabetes mellitus from the NHANES, EMHS and UK Biobank datasets
•The PHQ-9 was measurement invariant (MI) across people with and without diabetes.•MI was found for 1-factor and a 2-factor (somatic and non-somatic items) solution.•The meaning of the PHQ-9 items is similar for people with and without diabetes. The prevalence of depression is higher among those wit...
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Veröffentlicht in: | Journal of affective disorders 2021-09, Vol.292, p.311-318 |
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container_title | Journal of affective disorders |
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creator | Nouwen, Arie Deschênes, Sonya S. Balkhiyarova, Zhanna Albertorio-Díaz, Juan R. Prokopenko, Inga Schmitz, Norbert |
description | •The PHQ-9 was measurement invariant (MI) across people with and without diabetes.•MI was found for 1-factor and a 2-factor (somatic and non-somatic items) solution.•The meaning of the PHQ-9 items is similar for people with and without diabetes.
The prevalence of depression is higher among those with diabetes than in the general population. The Patient Health Questionnaire (PHQ-9) is commonly used to assess depression in people with diabetes, but measurement invariance of the PHQ-9 across groups of people with and without diabetes has not yet been investigated.
Data from three independent cohorts from the USA (n=1,886 with diabetes, n=4,153 without diabetes), Quebec, Canada (n= 800 with diabetes, n= 2,411 without diabetes), and the UK (n=4,981 with diabetes, n=145,570 without diabetes), were used to examine measurement invariance between adults with and without diabetes. A series of multiple group confirmatory factor analyses were performed, with increasingly stringent model constraints applied to assess configural, equal thresholds, and equal thresholds and loadings invariance, respectively. One-factor and two-factor (somatic and cognitive-affective items) models were examined.
Results demonstrated that the most stringent models, testing equal loadings and thresholds, had satisfactory model fit in the three cohorts for one-factor models (RMSEA = .063 or below and CFI = .978 or above) and two-factor models (RMSEA = .042 or below and CFI = .989 or above).
Data were from Western countries only and we could not distinguish between type of diabetes.
Results provide support for measurement invariance between groups of people with and without diabetes, using either a one-factor or a two-factor model. While the two-factor solution has a slightly better fit, the one-factor solution is more parsimonious. Depending on research or clinical needs, both factor structures can be used. |
doi_str_mv | 10.1016/j.jad.2021.05.031 |
format | Article |
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The prevalence of depression is higher among those with diabetes than in the general population. The Patient Health Questionnaire (PHQ-9) is commonly used to assess depression in people with diabetes, but measurement invariance of the PHQ-9 across groups of people with and without diabetes has not yet been investigated.
Data from three independent cohorts from the USA (n=1,886 with diabetes, n=4,153 without diabetes), Quebec, Canada (n= 800 with diabetes, n= 2,411 without diabetes), and the UK (n=4,981 with diabetes, n=145,570 without diabetes), were used to examine measurement invariance between adults with and without diabetes. A series of multiple group confirmatory factor analyses were performed, with increasingly stringent model constraints applied to assess configural, equal thresholds, and equal thresholds and loadings invariance, respectively. One-factor and two-factor (somatic and cognitive-affective items) models were examined.
Results demonstrated that the most stringent models, testing equal loadings and thresholds, had satisfactory model fit in the three cohorts for one-factor models (RMSEA = .063 or below and CFI = .978 or above) and two-factor models (RMSEA = .042 or below and CFI = .989 or above).
Data were from Western countries only and we could not distinguish between type of diabetes.
Results provide support for measurement invariance between groups of people with and without diabetes, using either a one-factor or a two-factor model. While the two-factor solution has a slightly better fit, the one-factor solution is more parsimonious. Depending on research or clinical needs, both factor structures can be used.</description><identifier>ISSN: 0165-0327</identifier><identifier>EISSN: 1573-2517</identifier><identifier>DOI: 10.1016/j.jad.2021.05.031</identifier><identifier>PMID: 34139403</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Adult ; Biological Specimen Banks ; Canada ; Depression ; Diabetes ; Diabetes Mellitus - epidemiology ; Factor Analysis, Statistical ; Humans ; Measurement invariance ; Nutrition Surveys ; Patient Health Questionnaire ; PHQ-9 ; Psychometrics ; Quebec ; Surveys and Questionnaires ; United Kingdom - epidemiology</subject><ispartof>Journal of affective disorders, 2021-09, Vol.292, p.311-318</ispartof><rights>2021 The Authors</rights><rights>Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-7f301ccc6b8e590c96f5988c9f0443d529cb1f1b977df79aec353692706b75653</citedby><cites>FETCH-LOGICAL-c396t-7f301ccc6b8e590c96f5988c9f0443d529cb1f1b977df79aec353692706b75653</cites><orcidid>0000-0003-1624-7457 ; 0000-0002-0609-4082 ; 0000-0002-9258-0895</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0165032721004754$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34139403$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nouwen, Arie</creatorcontrib><creatorcontrib>Deschênes, Sonya S.</creatorcontrib><creatorcontrib>Balkhiyarova, Zhanna</creatorcontrib><creatorcontrib>Albertorio-Díaz, Juan R.</creatorcontrib><creatorcontrib>Prokopenko, Inga</creatorcontrib><creatorcontrib>Schmitz, Norbert</creatorcontrib><title>Measurement invariance testing of the patient health questionnaire-9 (PHQ-9) across people with and without diabetes mellitus from the NHANES, EMHS and UK Biobank datasets</title><title>Journal of affective disorders</title><addtitle>J Affect Disord</addtitle><description>•The PHQ-9 was measurement invariant (MI) across people with and without diabetes.•MI was found for 1-factor and a 2-factor (somatic and non-somatic items) solution.•The meaning of the PHQ-9 items is similar for people with and without diabetes.
The prevalence of depression is higher among those with diabetes than in the general population. The Patient Health Questionnaire (PHQ-9) is commonly used to assess depression in people with diabetes, but measurement invariance of the PHQ-9 across groups of people with and without diabetes has not yet been investigated.
Data from three independent cohorts from the USA (n=1,886 with diabetes, n=4,153 without diabetes), Quebec, Canada (n= 800 with diabetes, n= 2,411 without diabetes), and the UK (n=4,981 with diabetes, n=145,570 without diabetes), were used to examine measurement invariance between adults with and without diabetes. A series of multiple group confirmatory factor analyses were performed, with increasingly stringent model constraints applied to assess configural, equal thresholds, and equal thresholds and loadings invariance, respectively. One-factor and two-factor (somatic and cognitive-affective items) models were examined.
Results demonstrated that the most stringent models, testing equal loadings and thresholds, had satisfactory model fit in the three cohorts for one-factor models (RMSEA = .063 or below and CFI = .978 or above) and two-factor models (RMSEA = .042 or below and CFI = .989 or above).
Data were from Western countries only and we could not distinguish between type of diabetes.
Results provide support for measurement invariance between groups of people with and without diabetes, using either a one-factor or a two-factor model. While the two-factor solution has a slightly better fit, the one-factor solution is more parsimonious. Depending on research or clinical needs, both factor structures can be used.</description><subject>Adult</subject><subject>Biological Specimen Banks</subject><subject>Canada</subject><subject>Depression</subject><subject>Diabetes</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Factor Analysis, Statistical</subject><subject>Humans</subject><subject>Measurement invariance</subject><subject>Nutrition Surveys</subject><subject>Patient Health Questionnaire</subject><subject>PHQ-9</subject><subject>Psychometrics</subject><subject>Quebec</subject><subject>Surveys and Questionnaires</subject><subject>United Kingdom - epidemiology</subject><issn>0165-0327</issn><issn>1573-2517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kcFu1DAURS0EokPhA9ggL4tEgh3H9lisSjUwiLaASteW47wwHpI42E4R38RP4skUlqxsyedev_suQs8pKSmh4vW-3Ju2rEhFS8JLwugDtKJcsqLiVD5Eq8zwgrBKnqAnMe4JIUJJ8hidsJoyVRO2Qr-vwMQ5wABjwm68M8GZ0QJOEJMbv2Hf4bQDPJnkDsQOTJ92-Md8ePbjaFyAQuGzz9svhXqJjQ0-RjyBn3rAP11GzdguFz8n3DrTQHbGA_S9S3PEXfDD8sH19vx6c_MKb662N4vm9iN-63xjxu-4NclESPEpetSZPsKz-_MU3b7bfL3YFpef3n-4OL8sLFMiFbJjhFprRbMGrohVouNqvbaqI3XNWl4p29CONkrKtpPKgGWcCVVJIhrJBWen6OzoOwW_JNWDizaPbEbwc9QVr1ldcyFERukRXYIH6PQU3GDCL02JPnSk9zp3pA8dacJ17ihrXtzbz80A7T_F31Iy8OYIQA555yDoaPP2LbR52zbp1rv_2P8BHnCiXA</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Nouwen, Arie</creator><creator>Deschênes, Sonya S.</creator><creator>Balkhiyarova, Zhanna</creator><creator>Albertorio-Díaz, Juan R.</creator><creator>Prokopenko, Inga</creator><creator>Schmitz, Norbert</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1624-7457</orcidid><orcidid>https://orcid.org/0000-0002-0609-4082</orcidid><orcidid>https://orcid.org/0000-0002-9258-0895</orcidid></search><sort><creationdate>20210901</creationdate><title>Measurement invariance testing of the patient health questionnaire-9 (PHQ-9) across people with and without diabetes mellitus from the NHANES, EMHS and UK Biobank datasets</title><author>Nouwen, Arie ; Deschênes, Sonya S. ; Balkhiyarova, Zhanna ; Albertorio-Díaz, Juan R. ; Prokopenko, Inga ; Schmitz, Norbert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-7f301ccc6b8e590c96f5988c9f0443d529cb1f1b977df79aec353692706b75653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Biological Specimen Banks</topic><topic>Canada</topic><topic>Depression</topic><topic>Diabetes</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Factor Analysis, Statistical</topic><topic>Humans</topic><topic>Measurement invariance</topic><topic>Nutrition Surveys</topic><topic>Patient Health Questionnaire</topic><topic>PHQ-9</topic><topic>Psychometrics</topic><topic>Quebec</topic><topic>Surveys and Questionnaires</topic><topic>United Kingdom - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nouwen, Arie</creatorcontrib><creatorcontrib>Deschênes, Sonya S.</creatorcontrib><creatorcontrib>Balkhiyarova, Zhanna</creatorcontrib><creatorcontrib>Albertorio-Díaz, Juan R.</creatorcontrib><creatorcontrib>Prokopenko, Inga</creatorcontrib><creatorcontrib>Schmitz, Norbert</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of affective disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nouwen, Arie</au><au>Deschênes, Sonya S.</au><au>Balkhiyarova, Zhanna</au><au>Albertorio-Díaz, Juan R.</au><au>Prokopenko, Inga</au><au>Schmitz, Norbert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement invariance testing of the patient health questionnaire-9 (PHQ-9) across people with and without diabetes mellitus from the NHANES, EMHS and UK Biobank datasets</atitle><jtitle>Journal of affective disorders</jtitle><addtitle>J Affect Disord</addtitle><date>2021-09-01</date><risdate>2021</risdate><volume>292</volume><spage>311</spage><epage>318</epage><pages>311-318</pages><issn>0165-0327</issn><eissn>1573-2517</eissn><abstract>•The PHQ-9 was measurement invariant (MI) across people with and without diabetes.•MI was found for 1-factor and a 2-factor (somatic and non-somatic items) solution.•The meaning of the PHQ-9 items is similar for people with and without diabetes.
The prevalence of depression is higher among those with diabetes than in the general population. The Patient Health Questionnaire (PHQ-9) is commonly used to assess depression in people with diabetes, but measurement invariance of the PHQ-9 across groups of people with and without diabetes has not yet been investigated.
Data from three independent cohorts from the USA (n=1,886 with diabetes, n=4,153 without diabetes), Quebec, Canada (n= 800 with diabetes, n= 2,411 without diabetes), and the UK (n=4,981 with diabetes, n=145,570 without diabetes), were used to examine measurement invariance between adults with and without diabetes. A series of multiple group confirmatory factor analyses were performed, with increasingly stringent model constraints applied to assess configural, equal thresholds, and equal thresholds and loadings invariance, respectively. One-factor and two-factor (somatic and cognitive-affective items) models were examined.
Results demonstrated that the most stringent models, testing equal loadings and thresholds, had satisfactory model fit in the three cohorts for one-factor models (RMSEA = .063 or below and CFI = .978 or above) and two-factor models (RMSEA = .042 or below and CFI = .989 or above).
Data were from Western countries only and we could not distinguish between type of diabetes.
Results provide support for measurement invariance between groups of people with and without diabetes, using either a one-factor or a two-factor model. While the two-factor solution has a slightly better fit, the one-factor solution is more parsimonious. Depending on research or clinical needs, both factor structures can be used.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>34139403</pmid><doi>10.1016/j.jad.2021.05.031</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-1624-7457</orcidid><orcidid>https://orcid.org/0000-0002-0609-4082</orcidid><orcidid>https://orcid.org/0000-0002-9258-0895</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Biological Specimen Banks Canada Depression Diabetes Diabetes Mellitus - epidemiology Factor Analysis, Statistical Humans Measurement invariance Nutrition Surveys Patient Health Questionnaire PHQ-9 Psychometrics Quebec Surveys and Questionnaires United Kingdom - epidemiology |
title | Measurement invariance testing of the patient health questionnaire-9 (PHQ-9) across people with and without diabetes mellitus from the NHANES, EMHS and UK Biobank datasets |
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