Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/119650
DC FieldValueLanguage
dc.contributorSchool of Nursing-
dc.creatorFan, HY-
dc.creatorSun, HL-
dc.creatorFeng, Y-
dc.creatorZhang, Y-
dc.creatorZhu, HY-
dc.creatorLi, YZ-
dc.creatorSu, Z-
dc.creatorCheung, T-
dc.creatorLopes Lao, EP-
dc.creatorZhang, Q-
dc.creatorNg, CH-
dc.creatorXiang, YT-
dc.date.accessioned2026-07-03T07:13:58Z-
dc.date.available2026-07-03T07:13:58Z-
dc.identifier.issn1346-3500-
dc.identifier.urihttp://hdl.handle.net/10397/119650-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sons, Incen_US
dc.rights© 2025 The Author(s). Psychogeriatrics published by John Wiley & Sons Australia, Ltd on behalf of Japanese Psychogeriatric Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.en_US
dc.rightsThe following publication Fan, H. Y., Sun, H. L., Feng, Y., Zhang, Y., Zhu, H. Y., Li, Y. Z., ... & Xiang, Y. T. (2025). Prevalence of depression and its network structure and association with quality of life in older adults with hypertension: findings of a national survey. Psychogeriatrics, 25(3), e70034 is available at https://doi.org/10.1111/psyg.70034.en_US
dc.subjectDepressionen_US
dc.subjectHypertensionen_US
dc.subjectNetwork analysisen_US
dc.subjectOlder adultsen_US
dc.subjectQuality of lifeen_US
dc.titlePrevalence of depression and its network structure and association with quality of life in older adults with hypertension : findings of a national surveyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume25-
dc.identifier.issue3-
dc.identifier.doi10.1111/psyg.70034-
dcterms.abstractIntroduction: Based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS), this study aimed to examine the prevalence and correlates of depression, and its network structure and association with quality of life (QOL) in older adults with hypertension.-
dcterms.abstractMethods: Depression and QOL were measured using the 10-item Center for Epidemiologic Studies Short Depression Scale (CESD-10) and the World Health Organization Quality of Life-brief version, respectively. Univariable and multivariable analyses were performed. Network analysis was used to explore the interconnections between depressive symptoms. The flow function was used to identify depressive symptoms that were directly associated with QOL.-
dcterms.abstractResults: A total of 5032 older adults with hypertension were included. The prevalence of depression (CESD-10 total score ≥ 10) was 28.3% (95% confidence interval: 27.08%–29.59%), which was significantly associated with poor QOL (P < 0.001). Participants who were male (P < 0.001), resided in urban areas (P = 0.006), lived with their family (P < 0.001), had perceived fair or good economic status (P < 0.001), and higher level of instrumental activities of daily living (P < 0.001) had lower risk of depression. In the network model of depression, CESD3 ‘Feeling blue/depressed’, CESD4 ‘Everything was an effort’ and CESD8 ‘Loneliness’ were the most central symptoms. CESD10 ‘Sleep disturbances’ had the highest negative association with QOL, followed by CESD5 ‘Hopelessness’, and CESD7 ‘Lack of happiness’.-
dcterms.abstractConclusion: Depression was common among older adults with hypertension and significantly associated with poor QOL. To prevent and reduce the negative impact of depression in this population, appropriate interventions should target both central symptoms and the depressive symptoms associated with QOL.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPsychogeriatrics, May 2025, v. 25, no. 3, e70034-
dcterms.isPartOfPsychogeriatrics-
dcterms.issued2025-05-
dc.identifier.scopus2-s2.0-105003793589-
dc.identifier.pmid40254546-
dc.identifier.eissn1479-8301-
dc.identifier.artne70034-
dc.description.validate202606 bcjz-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe study was supported by Hainan Provincial Natural Science Foundation of China (No. 821QN249), the Education Department of Hainan Province (Hnjg2024ZC-55), Beijing High Level Public Health Technology Talent Construction Project (Discipline Backbone-01-028), the Beijing Municipal Science & Technology Commission (No. Z181100001518005), and the Capital's Funds for Health Improvement and Research (CFH 2024-2-1174) and the University of Macau (MYRG-GRG2023-00141-FHS; CPG2025-00021-FHS).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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