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Meta-Analysis
. 2023 Oct 20;102(42):e35558.
doi: 10.1097/MD.0000000000035558.

Systematic review and meta-analysis of stress management intervention studies in patients with metabolic syndrome combined with psychological symptoms

Ma Lihua  1 , Zhuang Kaipeng  2 , Ma Xiyan  1 , Chang Yaowen  1 , Zhang Tao  2
Affiliations
Meta-Analysis

Systematic review and meta-analysis of stress management intervention studies in patients with metabolic syndrome combined with psychological symptoms

Ma Lihua et al. Medicine (Baltimore). .

Abstract

Background: Metabolic syndrome is affected by many factors, including lifestyle, mood, etc. Self-management of chronic diseases has attracted significant attention from researchers. Some studies have shown that patient self-management is a very important link, which can effectively alleviate the risk of further deterioration of the disease. However, so far, there has been no report on the basis of the summary of self-management intervention programs based on emotion management, which needs further in-depth discussion by researchers.

Methods: The Medline (PubMed), Embase (Elsevier), PsycINFO (Ovid), CBM, CNKI and Wanfang databases were searched from the establishment of the databases to June 2022, and a total of 25 studies were traced. The inclusion criteria on stress management in patients of metabolic syndrome complicated with psychological symptoms uses meta-analysis. Two investigators independently assessed the risk of bias for each study using the Cochrane risk of bias tool.16 studies and 2687participants and relevant characteristics of studies.

Results: In the effects of intervention measures based on stress management on depression, fasting plasma glucose, 2hFPG, high-density cholesterol, self-management behavior and quality of life in patients with psychological symptoms (depression, anxiety, and schizophrenia) complicated with metabolic diseases, there are statistically significant differences between the intervention group and the control group (P < .05).

Conclusions: Stress management intervention can effectively improve the health outcomes of patients. In all included analysis indicators, the results of the experimental group are better than those of the control group.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1.
Figure 1.
PRISMA flow chart of literature screening.
Figure 2.
Figure 2.
Effects of stress management-based interventions on depression in patients. CI = confidence interval. SD = standard deviation.
Figure 3.
Figure 3.
Effects of stress management-based interventions on patient FPG. CI = confidence interval. SD = standard deviation.
Figure 4.
Figure 4.
Effects of stress management-based interventions on 2-hour postprandial blood glucose (2hPG) in patients. CI = confidence interval. SD = standard deviation.
Figure 5.
Figure 5.
Effects of stress management-based interventions on patient weight. CI = confidence interval. SD = standard deviation.
Figure 6.
Figure 6.
Effects of stress management-based interventions on triglycerides in patients. CI = confidence interval. SD = standard deviation.
Figure 7.
Figure 7.
Effects of stress management-based interventions on high-density lipoprotein cholesterol in patients. CI = confidence interval. SD = standard deviation.
Figure 8.
Figure 8.
Effects of stress management-based interventions on patient self-management behaviors. CI = confidence interval. SD = standard deviation.
Figure 9.
Figure 9.
Effects of stress management-based interventions on patients quality of life. CI = confidence interval. SD = standard deviation.
Figure 10.
Figure 10.
Overall risk of bias assessment results for included studies.
Figure 11.
Figure 11.
Risk of bias assessment results of the included studies.
See this image and copyright information in PMC

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