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Published on: February 22, 2018
Symptom-specific intervention targets for depression and anxiety among older adults by physical multimorbidity
Xue Wang1, Wendie Zhou1, Qinqin Liu1
1School of Nursing, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
Objectives:
This study aimed to investigate the network structure of depressive anxiety symptoms among Chinese community-dwelling older adults with physical multimorbidity and to identify specific symptom targets for preventive and treatment interventions aimed at aggravating and alleviating symptoms by patterns of physical multimorbidity.
Methods:
Using data from the 2017/2018 wave of the Chinese Longitudinal Healthy Longevity Survey, latent class analysis (LCA) was conducted to identify physical multimorbidity patterns. Then, the NoeIdentifyR algorithm (NIRA) was employed to assess aggravating and alleviating specific symptoms by physical multimorbidity patterns.
Results:
The study encompassed 4859 older adults with physical multimorbidity, and identified 4 patterns of physical multimorbidity (multisystem disease, gastrointestinal-musculoskeletal-urogenital disease, minimal disease, and cardiometabolic disease). GAD4 (trouble relaxing) served as the common aggravating symptom for the multisystem disease, minimal disease, and cardiometabolic disease groups, but GAD2 (uncontrollable worry) for the gastrointestinal-musculoskeletal-urogenital disease group. CESD5 (hopeful about the future) served as the common alleviating symptom for gastrointestinal-musculoskeletal-urogenital disease, minimal disease, and cardiometabolic disease groups, but CESD4 (everything was an effort) as the unique alleviating symptom for the multisystem disease group.
Conclusions:
Aggravating and alleviating symptoms within the depressive-anxiety network differ by patterns of physical multimorbidity, which may imply that preventive and treatment targets should be tailored to patterns by physical multimorbidity for enhancing overall mental health among older adults.
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