scholarly journals Biological Determinants of Hostility

2021 ◽  
Author(s):  
Valery V. Gafarov ◽  
Elena A. Gromova ◽  
Vladimir N. Maksimov ◽  
Igor V. Gagulin ◽  
Almira V. Gafarova
Keyword(s):  
Logistic Regression ◽  
Gene Polymorphisms ◽  
Logistic Regression Model ◽  
Male Population ◽  
Drd4 Gene ◽  
Genotype 4 ◽  
Maoa Gene ◽  
Biological Determinants ◽  
High Level ◽  
Different Levels

Our aim was to study the association of hostility with the DRD4, DAT, MAOA genes in an open male population of 25–64 years old. A representative sample of men aged 25–64 years (n = 657 men, average age 44.3 ± 0.4 years) was examined in 1994–1995 and 45–64 years old (n = 781 men, average age - 56.48 ± 0.2 years) in 2003–2005 using the methods proposed by the WHO international program “MONICA-psychosocial” and “HAPIEE”. All respondents completed the hostility questionnaire on their own. Genotyping of the DRD4, DAT and MAOA gene polymorphisms was carried out. It was established that the level of hostility in the male population was 76.9% in the group of 25–64 years old and 60.3% in the group of 45–64 years old. Genotypes 4/6, 4/7 of the DRD4 gene are reliably associated with a high level of hostility; the genotype 4/4 of the DRD4 gene is associated with an average and lower level of hostility. There was no association of individual genotypes and VNTR alleles of DAT gene polymorphism with different levels of hostility. It was found that among individuals with low-active alleles of the MAOA-L gene (alleles 2 and 3), a high level of hostility was more common - 50.9%. The results of constructing a logistic regression model showed that the presence of low-active alleles (2; 3) of the MAOA gene increases the likelihood of hostility OR = 2.103 (95% CI 1.137–3.889, p = 0.018). Based on the received data we can assume that the long alleles of the DRD4 gene and the low-level allele of the MAOA-L gene are associated with hostility.

scholarly journals Association of MAOA-uVNTR gene polymorphism with hostility in an open population of males aged 45-64 in Russia / Siberia (international program: WHO «MONICA-psychosocial», «HAPIEE»)

2020 ◽  
pp. 39-44
Author(s):  
V. V. Gafarov ◽  
E. A. Gromova ◽  
D. O. Panov ◽  
I. V. Gagulin ◽  
V. N. Maksimov ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Gene Polymorphism ◽  
Representative Sample ◽  
Logistic Regression Model ◽  
Random Number ◽  
International Program ◽  
Maoa Gene ◽  
Open Population ◽  
Active Allele ◽  
High Level

Objective: to study the association of hostility with high and low-active variants of the MAOA gene in an open population of men 45-64 years old. Using the methods proposed by the WHO International Program “MONICA-psychosocial” and “HAPIEE”, a representative sample of men aged 45–64 years old (n = 781 men, average age was 56.48 ± 0.2 years) in 2003-2005. All respondents independently completed a questionnaire on hostility. From the surveyed sample, using the random number method, 156 men were selected who were genotyped for MAOA-uVNTR polymorphism. It was approved that the level of hostility in the population of men was 60.3%. It was revealed that among persons with low-active alleles of the MAOA-L gene (allele 2 and 3) a high level of hostility was more common — 50.9%. The results of building a logistic regression model showed that the presence of low-active alleles (2; 3) of the MAOA gene increases the likelihood of hostility OR = 2,103 (95% CI 1,137-3,889, p = 0.018). The results obtained allow us to conclude that the low-active allele of the MAOA-L gene is associated with hostility.

scholarly journals Elevated lipoprotein(a) and lipoprotein-associated phospholipase A2 are associated with unfavorable functional outcomes in patients with ischemic stroke

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Xue Jiang ◽  
Jie Xu ◽  
Xiwa Hao ◽  
Jing Xue ◽  
Ke Li ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ischemic Stroke ◽  
Regression Model ◽  
Functional Outcomes ◽  
Logistic Regression Model ◽  
Enzyme Linked Immunosorbent Assay ◽  
Women Patients ◽  
Lipoprotein A ◽  
Stroke Registry ◽  
Different Levels

Abstract Background The association of lipoprotein(a) [Lp(a)] and stroke functional outcomes was conflicting. The aim of the study was to clarify whether high Lp(a) is associated with unfavorable functional outcomes in patients with ischemic stroke. Methods A total of 9709 individuals from the third China National Stroke Registry cohort were recruited. Plasma level of Lp(a) at admission was measured with enzyme-linked immunosorbent assay. The cut-off was set at the median for Lp(a). Functional outcome was assessed using the modified Rankin scale (mRS) at 3 months and 1 year after ischemic stroke. The association between Lp(a) and functional outcomes was evaluated using a logistic regression model. Results The median age was 63.0 years, and 31.1% participants were women. Patients in higher Lp(a) group had higher incidences of unfavorable functional outcomes at 3 months. In logistic regression model, elevated Lp(a) levels were associated with unfavorable functional outcomes at 3 months (Q4 vs. Q1: odds ratio 1.33, 95% confidence interval 1.11–1.61). Subgroup analysis showed that in the lower Lp-PLA2 group, Lp(a) level was not associated with functional outcomes, but in the higher Lp-PLA2 group, Lp(a) level was significantly associated with functional outcomes. After grouped by different levels of Lp(a) and Lp-PLA2, the Lp(a) high/ Lp-PLA2 high group showed the highest incidence of unfavorable functional outcomes at 3 months and 1 year. Conclusions Elevated Lp(a) level is associated with unfavorable functional outcomes in patients with ischemic stroke. The increment in both Lp(a) and Lp-PLA2 are associated with unfavorable functional outcomes at 3 months and 1 year after ischemic stroke.

scholarly journals Modeling Infant Mortality Risk Factors using Logistic Regression Model and Spatial Analysis in Kenya

2021 ◽  
pp. 21-33
Author(s):  
Erick Cheruiyot Kirui ◽  
Elphas Luchemo ◽  
Ayubu Anapapa
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Infant Mortality ◽  
Regression Model ◽  
Spatial Variation ◽  
Mortality Risk ◽  
Logistic Regression Model ◽  
Important Indicator ◽  
Weather Patterns ◽  
High Level

Globally, infant mortality is used as an important indicator for healthcare status hence an important tool for evaluation and planning of public health strategies. Despite of numerous interventions by governments aimed at reducing infant mortality, high rates are still reported in Kenya. A lot of resources are channeled towards its control leading to low productivity hence impacting the household economic welfare and national GD. The specific objective was to establish risk factors and the spatial variation of infant mortality in Kenya by analyzing the 2014 Kenya Demographic Health Survey data. A fully Bayesian paradigm and logistic regression model were used to determine infant mortality risk factors and spatial variation in Kenya. Demographic, socioeconomic and environmental factors were found to have significant effect on infant mortality. Counties from the northern parts of Kenya, Rift Valley, Central, Eastern, Nyanza, Coastal and Western parts of Kenya showed a high level of infant deaths. Infant mortality is high in arid and semi-arid areas and coastal areas due to high prevalence of infectious diseases and inadequate water supply, health facilities and low education levels. Infant mortality varies significantly across regions in Kenya due to cultural activities, and weather patterns hence exists spatial autocorrelation among neighboring regions.

Determinants of illegal migration from North Africa to Southern Europe

2016 ◽  
Vol 13 (3) ◽  
pp. 455-467 ◽  
Author(s):  
Amany Hassan Abdel-karim
Keyword(s):  
Logistic Regression ◽  
North Africa ◽  
Logistic Regression Model ◽  
Southern Europe ◽  
Illegal Migration ◽  
Financial Situation ◽  
Level Of Education ◽  
And Migration ◽  
High Level ◽  
Migration Network

This study focuses on determining the effects of demographic, socioeconomic and migration network factors on illegal migration from North Africa to Southern Europe using logistic regression model. The results indicated that migrants who thought it is easier to find a job in destination countries, had job before migration, had high level of financial situation before migration and had high level of education were more likely to migrate legally. However, migrants who had children before migration and migrated with others were more likely to migrate illegally. These findings can be useful for migration legislations in both sending and receiving countries.

The Effect of Sanctions on Cooperative Behavior: A Study on Medium Trust Individuals in the Context of Corruption

2018 ◽  
Vol 34 (1) ◽  
Author(s):  
Dewi Rosiana ◽  
Achmad Djunaidi ◽  
Indun Lestari Setyono ◽  
Wilis Srisayekti
Keyword(s):  
Logistic Regression ◽  
Public Interest ◽  
Logistic Regression Model ◽  
Cooperative Behavior ◽  
Research Subjects ◽  
Chi Square ◽  
Public Interests ◽  
The Public ◽  
Chi Square Analysis ◽  
Personal Interests

This study aims to describe the effect of sanctions (individual sanctions, collective sanctions, and absence of sanctions) on cooperative behavior of individuals with medium trust in the context of corruption. Both collective sanctions and individual sanctions, are systemic, which means sanctioning behavior is exercised not by each individual but by the system. Cooperative behavior in this context means choosing to obey rules, to reject acts of corruption and to prioritize public interests rather than the personal interests. Conversely, corruption is an uncooperative behavior to the rules, and ignores the public interest and prioritizes personal interests. Research subjects were 62 students. The Chi-Square Analysis was used to see the association between the variables and the logistic regression model was applied to describe the structure of this association. Individual sanction is recommended as punishment to medium trust individuals to promote cooperative behavior in the context of corruption. The results showed that individuals with medium trust had more cooperative behavior.

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