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Relationship between psychological factors and atrial fibrillation: A meta-analysis and systematic review.

ABSTRACT: BACKGROUND:Although several studies have investigated the role of psychological factors in atrial fibrillation (AF), the results are still under debate. Therefore, we performed a meta-analysis to examine the relationship between psychological factors and the risk of incident AF. METHODS:We systematically searched the PubMed and EMBASE databases from inception to December 2019 to identify eligible studies. The hazard ratios (HRs) with 95% confidence intervals (CIs) were pooled by using a random-effects model. RESULTS:A total of 11 cohort studies were included in this meta-analysis. There were 5, 2, 4, and 5 studies examining the association of anxiety, anger, depression, and psychological stress with AF, respectively. In the pooled analysis by a random-effects model, anxiety (HR?=?1.10, 95%CI 0.97-1.24; P?=?.14), anger (HR?=?1.08, 95%CI 0.95-1.23; P?=?.21), depression (HR?=?1.15, 95%CI 0.98-1.35; P?=?.08), and work stress (HR?=?1.14, 95%CI 0.98-1.34; P?=?.09) were not associated with the risk of AF. These results were not changed when we re-performed the analysis using a fixed-effects model. CONCLUSIONS:Based on current evidence, no associations were observed for anger, anxiety, and work stress with the risk of AF.

SUBMITTER: Fu Y

PROVIDER: S-EPMC7220243 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Relationship between psychological factors and atrial fibrillation: A meta-analysis and systematic review.

Fu Yonghui Y He Wenfeng W Ma Jianyong J Wei Bo B

Medicine 20200401 16

<h4>Background</h4>Although several studies have investigated the role of psychological factors in atrial fibrillation (AF), the results are still under debate. Therefore, we performed a meta-analysis to examine the relationship between psychological factors and the risk of incident AF.<h4>Methods</h4>We systematically searched the PubMed and EMBASE databases from inception to December 2019 to identify eligible studies. The hazard ratios (HRs) with 95% confidence intervals (CIs) were pooled by u ...[more]

PMID: 32311930

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Project description:BackgroundAtrial fibrillation (AF) is a common arrhythmia classified as paroxysmal and non-paroxysmal. Non-paroxysmal AF is associated with an increased risk of complications. Diabetes contributes to AF initiation, yet its role in AF maintenance is unclear. We conducted a systematic review and meta-analysis to summarize the evidence regarding the association of diabetes with AF types.MethodsWe searched 5 databases for observational studies investigating the association of diabetes with the likelihood of an AF type (vs another type) in humans. Study quality was evaluated using the Newcastle-Ottawa Scale. Studies classifying AF types as paroxysmal (reference) and non-paroxysmal were pooled in a meta-analysis using random effects models.ResultsOf 1997 articles we identified, 20 were included in our systematic review. The population sample size ranged from 64 to 9816 participants with mean age ranging from 40 to 75 years and percentage of women from 24.8 to 100%. The quality of studies varied from poor (60%) to fair (5%) to good (35%). In the systematic review, 8 studies among patients with AF investigated the cross-sectional association of diabetes with non-paroxysmal AF (vs paroxysmal) of which 6 showed a positive association and 2 showed no association. Fourteen studies investigated the longitudinal association of diabetes with "more sustained" AF types (vs "less sustained") of which 2 showed a positive association and 12 showed no association. In the meta-analysis of cross-sectional studies, patients with AF and diabetes were 1.31-times more likely to have non-paroxysmal AF than those without diabetes [8 studies; pooled OR (95% CI), 1.31 (1.13-1.51), I2 = 82.6%]. The meta-analysis of longitudinal studies showed that for patients with paroxysmal AF, diabetes is associated with 1.32-times increased likelihood of progression to non-paroxysmal AF [five studies; pooled OR (95% CI), 1.32 (1.07-1.62); I2 = 0%].ConclusionsOur findings suggest that diabetes is associated with an increased likelihood of non-paroxysmal AF rather than paroxysmal AF. However, further high quality studies are needed to replicate these findings, adjust for potential confounders, elucidate mechanisms linking diabetes to non-paroxysmal AF, and assess the impact of antidiabetic medications on AF types. These strategies could eventually help decrease the risk of non-paroxysmal AF among patients with diabetes.

Dataset Information

Relationship between psychological factors and atrial fibrillation: A meta-analysis and systematic review.

Publications

Relationship between psychological factors and atrial fibrillation: A meta-analysis and systematic review.

Similar Datasets

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