Presentation_1_The influence of burnout on cardiovascular disease: a systematic review and meta-analysis.pdf

BackgroundBurnout is a public health problem with various health consequences, among which cardiovascular disease is the most investigated but still under debate. Our objective was to conduct a systematic review and meta-analysis on the influence of burnout on cardiovascular disease.MethodsStudies reporting risk (odds ratio, relative risk, and hazard ratio) of cardiovascular disease following burnout were searched in PubMed, PsycINFO, Cochrane, Embase, and ScienceDirect. We performed a random-effect meta-analysis stratified by type of cardiovascular disease and searched for putative influencing variables. We performed sensitivity analyses using the most adjusted models and crude risks.ResultsWe included 25 studies in the systematic review and 9 studies in the meta-analysis (4 cross-sectional, 4 cohort, and 1 case–control study) for a total of 26,916 participants. Burnout increased the risk of cardiovascular disease by 21% (OR = 1.21, 95% CI 1.03 to 1.39) using the most adjusted risks and by 27% (OR = 1.27, 95% CI 1.10 to 1.43) using crude risks. Using stratification by type of cardiovascular disease and the most adjusted risks, having experienced burnout significantly increased the risk of prehypertension by 85% (OR = 1.85, 95% CI 1.00 to 2.70) and cardiovascular disease-related hospitalization by 10% (OR = 1.10, 95% CI 1.02 to 1.18), whereas the risk increase for coronary heart disease (OR = 1.79, 95% CI 0.79 to 2.79) and myocardial infarction (OR = 1.78, 95% CI 0.85 to 2.71) was not significant. Results were also similar using crude odds ratio. The risk of cardiovascular disease after a burnout was not influenced by gender. Insufficient data precluded other meta-regressions.ConclusionsBurnout seems to increase the risk of cardiovascular disease, despite the few retrieved studies and a causality weakened by cross-sectional studies. However, numerous studies focused on the pathophysiology of cardiovascular risk linked to burnout, which may help to build a preventive strategy in the workplace.</p

Marginal mean estimates (and confident intervals) for both mental health and emotional responses, within both no- and discrimination groups.

Marginal mean estimates (and confident intervals) for both mental health and emotional responses, within both no- and discrimination groups.</p

Mean values (and standard deviations) for the main participants’ characteristics between the two groups (no- vs. discrimination).

Mean values (and standard deviations) for the main participants’ characteristics between the two groups (no- vs. discrimination).</p

Marginal mean estimates (and standard deviations) for both mental health and emotional responses, within both no- and discrimination groups, when depression medication is controlled for (analysis of covariance).

Marginal mean estimates (and standard deviations) for both mental health and emotional responses, within both no- and discrimination groups, when depression medication is controlled for (analysis of covariance).</p

Multiple mediation model: Anger and sadness mediate the relationship between covid-19 based discrimination and poor mental health.

Note: ** p p p < 0.10.</p

Frequencies concerning type of discrimination, perceived impact and the context of discrimination (discrimination group only).

Frequencies concerning type of discrimination, perceived impact and the context of discrimination (discrimination group only).</p

Flow chart.

Recruitment characteristics of the study cohort.</p

Total, direct and indirect effects on the relation between perceived discrimination (X) and mental health (Y) via emotional responses (i.e. anger and sadness).

Total, direct and indirect effects on the relation between perceived discrimination (X) and mental health (Y) via emotional responses (i.e. anger and sadness).</p