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CN 34-1304/RISSN 1674-3679

Volume 25 Issue 3
Mar.  2021
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Article Contents
LI Chen-hao, ZHU Xiao-fang, TIAN Jing, YAN Jing-jing, ZHANG Qing, HAN Qiang, HAN Qing-hua, ZHANG Yan-bo. A cross-lagged study of somatic symptoms and mental states in patients with chronic heart failure[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(3): 311-316. doi: 10.16462/j.cnki.zhjbkz.2021.03.012
Citation: LI Chen-hao, ZHU Xiao-fang, TIAN Jing, YAN Jing-jing, ZHANG Qing, HAN Qiang, HAN Qing-hua, ZHANG Yan-bo. A cross-lagged study of somatic symptoms and mental states in patients with chronic heart failure[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(3): 311-316. doi: 10.16462/j.cnki.zhjbkz.2021.03.012

A cross-lagged study of somatic symptoms and mental states in patients with chronic heart failure

doi: 10.16462/j.cnki.zhjbkz.2021.03.012
Funds:

National Natural Science Foundation of China 81872714

Provincial Key Laboratory of Shanxi 201805D111006

More Information
  • Corresponding author: HAN Qing-hua, E-mail: syhqh@sohu.com; ZHANG Yan-bo, E-mail: sxmuzyb@126.com
  • Received Date: 2020-07-19
  • Rev Recd Date: 2020-12-09
  • Publish Date: 2021-03-10
  •   Objective  The cross-lagged regression model was used to investigate the interaction between somatic symptoms and mental states in patients with chronic heart failure (CHF).  Methods  A six-month longitudinal follow-up was conducted amongst 262 patients with chronic heart failure who were admitted to the Department of Cardiology of two of the top three hospitals in Shanxi Province from November 2017 to December 2018. The patient-reported outcomes instrument for CHF (patient-reported outcome measure for chronic heart failure, CHF-PROM) was used for two measurements (T1 and T2), Cross-lagged regression model was used to analyze the relationship between somatic symptoms and mental states.  Results  The physical symptoms and mental states of patients with chronic heart failure were stable. There was a positive correlation between physical symptoms and mental states (r=0.331, P < 0.001; r=0.445, P < 0.001). Cross-lagged regression analysis showed that after controlling for T1 somatic symptoms, T1 mental states could predict T2 somatic symptoms (β=0.163, P=0.010); Further analysis of the psychological state of each dimension showed that T1 anxiety predicted somatic symptoms of T2 (β=0.183, P=0.004) after controlling for T1 somatic symptoms.  Conclusions  Mental states are the antecedents of somatic symptoms, which can positively predict somatic symptoms. Further analysis showed that anxiety is the antecedent variable of somatic symptoms and anxiety has a significant positive predictive effect on somatic symptoms.
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