Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach
Objectives: Although the evidence from numerous longitudinal studies has indicated a remarkable change in cognitive function (CF) and depressive symptoms (DS) over time, the parallel latent growth curve model (LGCM) has seldom been used to simultaneously investigate the relationship between their ch...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | International Journal of Public Health |
| Subjects: | |
| Online Access: | https://www.ssph-journal.org/articles/10.3389/ijph.2022.1605124/full |
| _version_ | 1798014557367566336 |
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| author | Zihan Gao Cuiping Liu Li Yang Xinyi Mei Xiao Wei Jinke Kuang Kexin Zhou Mengfan Xu |
| author_facet | Zihan Gao Cuiping Liu Li Yang Xinyi Mei Xiao Wei Jinke Kuang Kexin Zhou Mengfan Xu |
| author_sort | Zihan Gao |
| collection | DOAJ |
| description | Objectives: Although the evidence from numerous longitudinal studies has indicated a remarkable change in cognitive function (CF) and depressive symptoms (DS) over time, the parallel latent growth curve model (LGCM) has seldom been used to simultaneously investigate the relationship between their change trajectories. This study aimed to examine whether a change in DS was associated with CF over time using an LGCM.Methods: Data were collected from the Chinese Longitudinal Healthy Longevity Survey’s 2011, 2014, and 2018 waves. A parallel LGCM examined the association between CF and DS.Results: The multivariate conditioned model’s goodness of fit supported the validity of the longitudinal model (Tucker-Lewis index [TLI] = 0.90, comparative fit index [CFI] = 0.96, root mean square error of approximation [RMSEA] = 0.04). The results showed that the CF intercept was positively to the DS slope (β = 0.42, p = 0.004). The CF and DS slopes were significantly linked (β = −0.65, p = 0.002).Conclusion: The findings expand the knowledge about CF’s effect on DS in older adults. |
| first_indexed | 2024-04-11T15:20:29Z |
| format | Article |
| id | doaj.art-9537f9c52a774976873ca9d12c40e29f |
| institution | Directory Open Access Journal |
| issn | 1661-8564 |
| language | English |
| last_indexed | 2024-04-11T15:20:29Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | International Journal of Public Health |
| spelling | doaj.art-9537f9c52a774976873ca9d12c40e29f2022-12-22T04:16:23ZengFrontiers Media S.A.International Journal of Public Health1661-85642022-09-016710.3389/ijph.2022.16051241605124Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling ApproachZihan Gao0Cuiping Liu1Li Yang2Xinyi Mei3Xiao Wei4Jinke Kuang5Kexin Zhou6Mengfan Xu7School of Nursing, Qingdao University, Qingdao, ChinaSchool of Nursing, Qingdao University, Qingdao, ChinaSchool of Nursing, Qingdao University, Qingdao, ChinaSchool of Nursing, Wuhan University of Science and Technology, Wuhan, ChinaSchool of Nursing, Qingdao University, Qingdao, ChinaSchool of Nursing, Qingdao University, Qingdao, ChinaSchool of Nursing, Qingdao University, Qingdao, ChinaSchool of Nursing, Qingdao University, Qingdao, ChinaObjectives: Although the evidence from numerous longitudinal studies has indicated a remarkable change in cognitive function (CF) and depressive symptoms (DS) over time, the parallel latent growth curve model (LGCM) has seldom been used to simultaneously investigate the relationship between their change trajectories. This study aimed to examine whether a change in DS was associated with CF over time using an LGCM.Methods: Data were collected from the Chinese Longitudinal Healthy Longevity Survey’s 2011, 2014, and 2018 waves. A parallel LGCM examined the association between CF and DS.Results: The multivariate conditioned model’s goodness of fit supported the validity of the longitudinal model (Tucker-Lewis index [TLI] = 0.90, comparative fit index [CFI] = 0.96, root mean square error of approximation [RMSEA] = 0.04). The results showed that the CF intercept was positively to the DS slope (β = 0.42, p = 0.004). The CF and DS slopes were significantly linked (β = −0.65, p = 0.002).Conclusion: The findings expand the knowledge about CF’s effect on DS in older adults.https://www.ssph-journal.org/articles/10.3389/ijph.2022.1605124/fulllongitudinal studycognitive functiondepressive symptomslatent growth curve modelold adults |
| spellingShingle | Zihan Gao Cuiping Liu Li Yang Xinyi Mei Xiao Wei Jinke Kuang Kexin Zhou Mengfan Xu Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach International Journal of Public Health longitudinal study cognitive function depressive symptoms latent growth curve model old adults |
| title | Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach |
| title_full | Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach |
| title_fullStr | Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach |
| title_full_unstemmed | Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach |
| title_short | Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach |
| title_sort | longitudinal association between depressive symptoms and cognitive function among older adults a latent growth curve modeling approach |
| topic | longitudinal study cognitive function depressive symptoms latent growth curve model old adults |
| url | https://www.ssph-journal.org/articles/10.3389/ijph.2022.1605124/full |
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