Association of mental health with the risk of coronary artery disease in patients with diabetes: A mendelian randomization study

Teng, Hui; Yang, Fangkun; He, Kewan; Ying, Jiajun; Cui, Hanbin

doi:10.1016/j.numecd.2022.01.004

Cited by 8 publications

(4 citation statements)

References 55 publications

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“…This comparable risk could be due to our study not distinguishing the type of psychiatric disturbance, such as depression, anxiety, or neuroticism. Hu et al [ 25 ] reported similar findings, stating that the cause of mental disorders in patients with coronary artery disease (CAD) and diabetes remains unclear. There was no definitive causal link between CAD and anxiety or neuroticism in patients with diabetes.…”

Section: Discussionmentioning

confidence: 83%

“…There was no definitive causal link between CAD and anxiety or neuroticism in patients with diabetes. Given these findings, healthcare providers should prioritize mental health treatments to prevent CAD in patients with diabetes [ 25 ]. The disruption of cortisol, a stress hormone, is associated with both short-term and long-term stress factors [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

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The risk associated with psychiatric disturbances in patients with diabetes in Indonesia (2018): a cross-sectional observational study

Isfandari,

Roosihermiatie,

Tuminah

et al. 2023

PHRP

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Objectives: The global prevalence of psychiatric disturbances is rising, detrimentally affecting the quality of care and treatment outcomes for individuals, particularly those with diabetes.This study investigated the association of risk factors for psychiatric disturbances among productive-age patients with diabetes (ages 30−59 years), considering sociodemographic characteristics and co-existing diseases. The risk factors considered included sociodemographic factors (e.g., residence, age, sex, marital status, education, and occupation) and co-existing diseases (e.g., hypertension, heart disease, stroke, renal failure, rheumatism, asthma, and cancer). Methods: This cross-sectional study utilized data from the 2018 Indonesian National Health Survey (Riskesdas). The study population comprised respondents aged between 30 and 59 years who had diabetes and had completed the 20-question self-reporting questionnaire (SRQ-20). After the exclusion of incomplete SRQ-20 data, the sample included 8,917 respondents. Data were analyzed using logistic regression. Results: Approximately 18.29% of individuals with diabetes displayed symptoms indicative of psychiatric disturbances. After adjusting for sociodemographic factors such as age, sex, education level, occupation, marital status, and place of residence, patients with diabetes who had co-existing conditions such as hypertension, heart diseases, rheumatic disorders, asthma, or cancer had a higher risk for developing psychiatric disturbances than those with diabetes alone (adjusted odds ratio, 6.67; 95% confidence interval, 4.481−9.928; p<0.001). Conclusion: The elevated risk of psychiatric disturbances among patients with diabetes who had comorbidities underscores the importance of addressing mental health issues in the management of diabetes, especially in patients with concurrent disease conditions.

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Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

The risk associated with psychiatric disturbances in patients with diabetes in Indonesia (2018): a cross-sectional observational study

Isfandari,

Roosihermiatie,

Tuminah

et al. 2023

PHRP

View full text Add to dashboard Cite

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“…Gull Rukh et al 35 found neuroticism could not increase the risk of any CVD traits (p>0.05). Among diabetes mellitus individuals, neuroticism also has no causal effects on CAD 15 . To best of our knowledge, this is the first study using MR to investigate the causal association between mood instability and different cardiovascular endpoints.…”

Section: Discussionmentioning

confidence: 99%

“…Recent MR studies have focused on the causal effect from mental illness to CVD 9,15,16 , fully clarifying the viewpoint that the risk of CVD is significantly higher than those without psychotic disorder. However, whether mood instability may causally associate with the high risk of CVD is still unknown.…”

Section: Introductionmentioning

confidence: 99%

Mood instability may be causally associated with the high risk of cardiovascular disease: evidence from a mendelian randomization analysis

Liu,

Wang,

Yang

et al. 2023

Preprint

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BackgroundMental illness was identified associated with high risk of cardiovascular diseases (CVDs). However, few studies focused on the effect of personality traits, the causal relationships remain unknown. Here, we use mendelian randomization (MR) analyses to evaluate the causal association between mood instability (mood swings) and 5 common CVDs.MethodsLarge genome-wide association studies (GWAS) of mood swings (n= 373733) and 5 CVDs from two independent cohorts respectively including coronary artery disease (CAD) (n= 766053), myocardial infarction (MI) (n= 596436), heart failure (HF) (n= 1185501), atrial fibrillation (AF) (n= 2169833) and stroke (n = 627558). We performed a range of bidirectional two-sample MR and related sensitive analysis including MR-Egger regression, MR-PRESSO global test and “Leave-one-out” method. A Bonferroni-corrected significance level of p < 0.01 (0.05/5) was identified to be statistically significant, while p < 0.05 was considered to indicate suggestive evidence. Moreover, multivariable MR (MVMR) and mediation analyses were also conducted to adjust confounding factors as well as found potential mediators.ResultsThis MR analyses revealed the significant causal effects of mood swings on CAD (OR = 1.45, 95% CI 1.24–1.71; P = 5.52e-6), MI (OR = 1.60, 95% CI 1.32–1.95; P = 1.77e-6), HF (OR = 1.42, 95% CI 1.12–1.71; P = 2.32e-6) and stroke (OR = 1.48, 95% CI 1.19–1.83; P = 3.46e-4). However, no causal effects of mood swings on AF (P=0.16) were found. In the reverse MR, no causal relationships were observed. Additionally, hypertension may mediate the causal pathway from mood swings to CAD (proportion of mediation effect in total effect: 39.60%, 95% CI: 19.31%–59.89%), MI (35.37%, 95% CI: 17.10%–53.65%), HF (43.19%, 95% CI: 20.68%–65.69%) and stroke (55.47%, 95% CI: 27.00%–83.95%).ConclusionMood instability (mood swings) causally resulted in CAD, MI, HF and stroke, and these causal effects may be partly mediated by hypertension.

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Effects of insomnia and non-vasomotor menopausal symptoms on coronary heart disease risk: a mendelian randomization study

Lian¹,

Sie²,

Chang³

et al. 2023

Heliyon

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Association of mental health with the risk of coronary artery disease in patients with diabetes: A mendelian randomization study

Cited by 8 publications

References 55 publications

The risk associated with psychiatric disturbances in patients with diabetes in Indonesia (2018): a cross-sectional observational study

The risk associated with psychiatric disturbances in patients with diabetes in Indonesia (2018): a cross-sectional observational study

Mood instability may be causally associated with the high risk of cardiovascular disease: evidence from a mendelian randomization analysis

Effects of insomnia and non-vasomotor menopausal symptoms on coronary heart disease risk: a mendelian randomization study

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