{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T22:04:19Z","timestamp":1790287459227,"version":"4.1.0"},"reference-count":61,"publisher":"PeerJ","license":[{"start":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T00:00:00Z","timestamp":1699228800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"The Chinese National Natural Science Foundation","doi-asserted-by":"crossref","award":["71904118"],"award-info":[{"award-number":["71904118"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100020732","name":"Innovative Research Team of High-level Local Universities in Shanghai","doi-asserted-by":"crossref","award":["SHSMU-ZDCX20210602"],"award-info":[{"award-number":["SHSMU-ZDCX20210602"]}],"id":[{"id":"10.13039\/100020732","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Rheumatoid arthritis (RA) patients are susceptible to comorbid anxiety and depression. From the network model perspective, comorbidity is due to direct interactions between depression and anxiety symptoms. The objective of this study was to assess the network structure of depression and anxiety symptoms in Chinese RA patients and identify the central and bridge symptoms as well as how depression and anxiety symptoms are related to quality of life (QoL) in the network.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 402 Chinese RA patients were included in this study. Depression and anxiety symptoms were measured by the Hospital Anxiety and Depression Scale (HADS). R software was used to estimate the network. Specifically, we computed the predictability, expected influence (EI) and bridge expected influence (BEI) for each symptom and showed a flow network of \u201cQoL\u201d.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Our network revealed that the strongest edge was D2 \u201cSee the bad side of things\u201d and D3 \u201cNot feeling cheerful\u201d across the whole network. For centrality indices, D3 \u201cNot feeling cheerful\u201d and D6 \u201cFeeling down\u201d had the highest EI values in the network, while A4 \u201cTrouble relaxing\u201d and D6 \u201cFeeling down\u201d had the highest BEI values of their respective community. As to \u201cQoL\u201d, the strongest direct edge related to it was A1 \u201cNervousness\u201d.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\u201cFeeling down\u201d and \u201cNot feeling cheerful\u201d emerged as the strongest central symptoms, while \u201cTrouble relaxing\u201d and \u201cFeeling down\u201d were bridge symptoms in the anxiety-depression network of RA patients. Intervention on depression and anxiety symptoms in nurses should prioritize these symptoms.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.7717\/peerj.16356","type":"journal-article","created":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T03:06:25Z","timestamp":1699239985000},"page":"e16356","source":"Crossref","is-referenced-by-count":10,"title":["Network analysis of depression and anxiety symptoms in Chinese rheumatoid arthritis patients"],"prefix":"10.7717","volume":"11","author":[{"given":"Lijuan","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Nursing, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China"},{"name":"School of Nursing, Shanghai Jiao Tong University School of Medicine, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiyi","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Nursing, Ruijin Hospital, Shanghai Jiao Tong University School of 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