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Psychology Research and Behavior Management Volume 17, 2024 - Issue
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ORIGINAL RESEARCH

Psychosocial Clusters and Their Associations with Depression, Anxiety and Stress Among Older Adults in Shanghai Communities: Results from a Longitudinal Study

Jiawen Kuang1 School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, People’s Republic of ChinaView further author information
,
Wei Zhang1 School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, People’s Republic of ChinaORCID Iconhttps://orcid.org/0009-0006-3663-2140View further author information
ORCID Icon,
Haoran Zhang2 Lingqiao Community Health Center, Pudong New Area, Shanghai, People’s Republic of ChinaView further author information
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Nan Lin1 School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, People’s Republic of ChinaView further author information
,
Jialie Fang3 Jing’an District Center for Disease Control and Prevention, Shanghai, People’s Republic of ChinaView further author information
,
Rui Song4 Xiaodongmen Subdistrict Community Health Center, Huangpu District, Shanghai, People’s Republic of ChinaView further author information
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Zhaohua Xin2 Lingqiao Community Health Center, Pudong New Area, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
View further author information
&
Jingyi Wang1 School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, People’s Republic of ChinaCorrespondence[email protected]
View further author information
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Pages 2701-2716 | Received 26 Mar 2024, Accepted 18 Jun 2024, Published online: 23 Jul 2024

Figures & data

Figure 1 Participant flow from baseline to 18-month follow-up.

Figure 1 Participant flow from baseline to 18-month follow-up.

Table 1 Participant Characteristics by Outcome Variables

Table 2 Fit Statistics for 1- to 5-Class Solutions as Derived from LCA at Time Points T0 and T1

Figure 2 Item response probabilities by latent classes.

Figure 2 Item response probabilities by latent classes.

Figure 3 Latent transition probabilities based on the estimated model.This figure shows the transition proportions between latent classes from T0 to T1. The values beside the arrow lines indicate the percentage of participants transitioning between classes.

Figure 3 Latent transition probabilities based on the estimated model.This figure shows the transition proportions between latent classes from T0 to T1. The values beside the arrow lines indicate the percentage of participants transitioning between classes.

Table 3 Participant Characteristics by Latent Transition Categories

Table 4 Multivariable Logistic Regression Models of Associations Between Latent Transition Categories and Depression, Anxiety and Stress

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