Study of the relationship between aggression and chronic diseases (diabetes and hypertension)

Tilov, Boris; Semerdzhieva, Maria; Bakova, Desislava; Tornyova, Biyanka; Stoyanov, Drozdstoy

doi:10.1111/jep.12502

Cited by 18 publications

(10 citation statements)

References 13 publications

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“…A hostile attitude and cynicism create cognitive disposition to perceive other people in a negative context and to experience angry feelings and verbal or physical aggressive behavior in a destructive but non-constructive way. The suggestion that psychological factor is potentially "toxic" for the cardiovascular system is confirmed in other studies [17]. In our patients' population, hostility was the most prominent dimension, followed by verbal aggression and the inner tension was sometimes relieved through explosive reactions to close ones.…”

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confidence: 86%

The risk of metabolic syndrome in patients with arterial hypertension in relation to psychological and biological risk factors

et al. 2021

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Background / Aim. Type of personality and negative emotional reactions could be important for clustering biological risk factors for cardiovascular disease in patients with arterial hypertension (AH). This study investigates if patients with AH and psychological characteristics of Distress Type of personality with elevated anxiety/depression/aggression, have higher risk of metabolic syndrome (MS) and explored value of the assessed parameters for MS occurrence. Methods. A total of 85 patients with AH were included in the cross-sectional observational study. Type D Scale-14 (DS-14) was used to detect Type D (Distress) personality. The Hospital Anxiety and Depression Scale (HADS) assessed the levels of anxiety and depression and the Buss Perry Aggression Questionnaire (BPAQ) was used for assessment of aggression. The explored biological parameters included: blood pressure, lipid status, BMI, occurrence of diabetes mellitus (DM) and MS. Results. Type D patients were frequently more anxious, aggressive and had more frequent MS compared to Non-type D. Type D females were younger, more anxious and had greater prevalence of DM than those from with Non-type D personality. Multivariate analysis revealed that in Type D personality patients with AH, depression had predictive value for MS. Conclusion. The occurrence of both MS and AH were in correlation with Type D personality, anxiety and depression. Early detection/treatment of depression in patients with AH and type D of personality could decrease a risk of metabolic syndrome.

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confidence: 86%

The risk of metabolic syndrome in patients with arterial hypertension in relation to psychological and biological risk factors

et al. 2021

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“…Here, using a primary keyword search, we found a laboratory finding of lesser male aggression in a StAR-deficient fish model of human behavior [92]. In the case of our secondary keyword search, we found a number of articles [93–107] describing co-occurrence of aggressiveness, hypertension, and diabetes. As an example, old women on lipid-lowering medication become more aggressive and hypertensive and develop signs of diabetes [100].…”

Section: Resultsmentioning

confidence: 99%

Candidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters

et al. 2016

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BackgroundAggressiveness in humans is a hereditary behavioral trait that mobilizes all systems of the body—first of all, the nervous and endocrine systems, and then the respiratory, vascular, muscular, and others—e.g., for the defense of oneself, children, family, shelter, territory, and other possessions as well as personal interests. The level of aggressiveness of a person determines many other characteristics of quality of life and lifespan, acting as a stress factor. Aggressive behavior depends on many parameters such as age, gender, diseases and treatment, diet, and environmental conditions. Among them, genetic factors are believed to be the main parameters that are well-studied at the factual level, but in actuality, genome-wide studies of aggressive behavior appeared relatively recently. One of the biggest projects of the modern science—1000 Genomes—involves identification of single nucleotide polymorphisms (SNPs), i.e., differences of individual genomes from the reference genome. SNPs can be associated with hereditary diseases, their complications, comorbidities, and responses to stress or a drug. Clinical comparisons between cohorts of patients and healthy volunteers (as a control) allow for identifying SNPs whose allele frequencies significantly separate them from one another as markers of the above conditions. Computer-based preliminary analysis of millions of SNPs detected by the 1000 Genomes project can accelerate clinical search for SNP markers due to preliminary whole-genome search for the most meaningful candidate SNP markers and discarding of neutral and poorly substantiated SNPs.ResultsHere, we combine two computer-based search methods for SNPs (that alter gene expression) {i} Web service SNP_TATA_Comparator (DNA sequence analysis) and {ii} PubMed-based manual search for articles on aggressiveness using heuristic keywords. Near the known binding sites for TATA-binding protein (TBP) in human gene promoters, we found aggressiveness-related candidate SNP markers, including rs1143627 (associated with higher aggressiveness in patients undergoing cytokine immunotherapy), rs544850971 (higher aggressiveness in old women taking lipid-lowering medication), and rs10895068 (childhood aggressiveness-related obesity in adolescence with cardiovascular complications in adulthood).ConclusionsAfter validation of these candidate markers by clinical protocols, these SNPs may become useful for physicians (may help to improve treatment of patients) and for the general population (a lifestyle choice preventing aggressiveness-related complications).Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-3353-3) contains supplementary material, which is available to authorized users.

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“…Aggression and violent behaviors are as the most prevalent problems among adults and are one of the most important risk factors for chronic diseases, like CVDs (7)(8)(9)(10)(11). In the present study, we used cluster analysis to determine the level of aggressive behaviors and the categorization of CR patients in cohesive groups.…”

Section: Discussionmentioning

confidence: 99%

“…The prevalence of these behaviors in the Iranian adult population is reported to be about 11% to 33% (7,8). Furthermore, the results of recent studies indicate that aggressive components are common among people with chronic diseases (9,10). Violent childhood behaviors, anger, and hostility are the risk factors for cardiovascular diseases (CVDs) (9,11).…”

Section: Introductionmentioning

confidence: 99%

Aggregation Partitioning and Study of Demographic, Medical, and Psychological Predictors Related to Derived Clusters in Cardiac Rehabilitation Patients: A Cross-Sectional Study

Saeidi

Momeni

Kakabaraee

2019

Middle East J Rehabil Health Stud

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Background: Classification of high-risk behaviors such as aggression and identifying social, medical, and psychological factors related to it can help the emergence and development of the strategies to prevent these destructive behaviors. Objectives: Thus, the present study was done with two objectives: (i) cluster analysis of the aggression components and partitioning cardiac rehabilitation (CR) patients and (ii) determining the demographic, medical, and psychological correlations of each cluster. Methods: The sample of this cross-sectional study was 167 CR patients in western Iran examined from June to December 2017. Demographic and risk factors checklist, Beck anxiety inventory (BAI), Beck depression inventory (BDI), and Buss-Perry aggression questionnaire (BPAQ) were used for data collection. The data were analyzed using hierarchical and k-means cluster analysis, Cramer-V test, analysis of variance (ANOVA), and analysis of binary logistic regression. Results:The mean age of the participants (66.5% male) was 59.14 ± 9.03. The model proposed two clusters: (i) patients with mild aggression and (ii) patients with severe aggression. Occupation (P = 0.048), marital status (P = 0.048), anxiety (P = 0.006), and depression (P = 0.001) were the most essential predictors of the unhealthy cluster. Our model could explain 30.7% to 41% of the variance of the unhealthy cluster. Conclusions: Cluster analysis divided patients into two groups with mild and severe aggression. Marital status and occupation are the most important demographic correlates, and depression and anxiety are the most important psychological predictors of the cluster with high aggression. The results of the present study can provide a map of the focus of attention on harm reduction interventions by health professionals.

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Study of the relationship between aggression and chronic diseases (diabetes and hypertension)

Cited by 18 publications

References 13 publications

The risk of metabolic syndrome in patients with arterial hypertension in relation to psychological and biological risk factors

The risk of metabolic syndrome in patients with arterial hypertension in relation to psychological and biological risk factors

Candidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters

Aggregation Partitioning and Study of Demographic, Medical, and Psychological Predictors Related to Derived Clusters in Cardiac Rehabilitation Patients: A Cross-Sectional Study

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