Evelyn Kiive

Bio: Evelyn Kiive is an academic researcher from University of Tartu. The author has contributed to research in topics: Population & Longitudinal study. The author has an hindex of 18, co-authored 39 publications receiving 786 citations.

Platelet monoamine oxidase in healthy 9- and 15-years old children: the effect of gender, smoking and puberty.

Abstract: 1. The effect of gender, smoking and pubertal development on platelet monoamine oxidase (MAO) activity was described in a randomly selected, large sample of 9- and 15-years old healthy children. 2. Platelet MAO activity was measured in 1129 children by a radioenzymatic method with β-phenylethylamine as the substrate. Smoking habits were reported in an anonymous questionnaire. Pubertal status was assessed visually using Tanner's stages. 3. Boys, younger children and smokers had significantly lower platelet MAO activity than girls, older children and non-smokers, respectively. Girls in Tanner's stage V for breast and public hair development had significantly lower MAO than girls in stage IV. 4. Differences in gender, age, pubertal status and smoking habits must be taken into account if the relationship between platelet MAO activity, personality and psychiatric disorders is studied in children.

Short Communication Association between substance use, personality traits, and platelet MAO activity in preadolescents and adolescents

Abstract: This study examined the relationship between alcohol/illicit drug use, the Five-Factor Model (FFM) personality traits, aggressiveness (Agg), and hyperactivity (Hyp), and platelet monoamine oxidase (MAO) activity in a population-derived representative sample of preadolescents and adolescents (n=1172). Alcohol and illicit drug use was self-reported. The FFM personality inventories were filled in by mothers of the participants, and Agg and Hyp were rated by their class teachers. Higher scores in extraversion (E), Agg, and Hyp and lower scores in conscientiousness (C) together with older age were significant predictors of more frequent alcohol use in adolescents. No significant association was found between alcohol illicit drug use, and platelet MAO activity. D 2002 Elsevier Science Ltd. All rights reserved.

A functional NOS1 promoter polymorphism interacts with adverse environment on functional and dysfunctional impulsivity

Abstract: Rationale Neuronal nitric oxide synthase (NOS1) knockout results in increased impulsive aggression in mice under adverse housing conditions. In line with this, we have previously shown that a functional promoter polymorphism of NOS1, termed NOS1 ex1f-VNTR, is associated with impulsivity-related traits and related disorders. Objective This study aims to examine whether adverse environment interacts with the risk allele on impulsivityrelated measures. Methods We here studied a population-based cohort of Estonian pupils, recruited at the age of 9 years and followed up for another 9 years. For 435 subjects, measures on impulsivity (Adaptive and Maladaptive Impulsivity Scale, BIS-11, Stop Signal data, and Visual Comparison Test, VCT), environmental conditions (stressful life events and family environment), and NOS1 ex1f-VNTR genotype were available. Results We found a genotype main effect in that presence of a short NOS1 ex1f-VNTR allele was associated with higher levels of adaptive impulsivity, especially in males, but also worse performance in the VCT and the Stop Signal test. Both stressful life events as well as adverse family environment interacted with the risk genotype to increase maladaptive impulsivity. Conclusions This study provides further evidence that short alleles of NOS1 ex1f-VNTR go along with impulsive behavior. In the absence of adverse environmental conditions, this may lead to a beneficial effect as functional forms of impulsivity are affected. This however is reversed under negative conditions, as dysfunctional impulsivity is increased under these circumstances. This data provides evidence that NOS1 ex1f-VNTR is subject to balancing selection potentially explaining persistence of the risk allele in the population.

Using Multivariate Statistics

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Computer-based personality judgments are more accurate than those made by humans

Abstract: Judging others’ personalities is an essential skill in successful social living, as personality is a key driver behind people’s interactions, behaviors, and emotions. Although accurate personality judgments stem from social-cognitive skills, developments in machine learning show that computer models can also make valid judgments. This study compares the accuracy of human and computer-based personality judgments, using a sample of 86,220 volunteers who completed a 100-item personality questionnaire. We show that (i) computer predictions based on a generic digital footprint (Facebook Likes) are more accurate (r = 0.56) than those made by the participants’ Facebook friends using a personality questionnaire (r = 0.49); (ii) computer models show higher interjudge agreement; and (iii) computer personality judgments have higher external validity when predicting life outcomes such as substance use, political attitudes, and physical health; for some outcomes, they even outperform the self-rated personality scores. Computers outpacing humans in personality judgment presents significant opportunities and challenges in the areas of psychological assessment, marketing, and privacy.

Gender differences in depression in 20 European countries: cross-national variation in the true gender gap in depression

Abstract: One of the most consistent findings in the social epidemiology of mental health is the gender gap in depression. Depression is approximately twice as prevalent among women as it is among men. However, the absence of comparable data hampers cross-national comparisons of the prevalence of depression in general populations. Using information about the frequency and severity of depressive symptoms from the third wave of the European Social Survey (ESS-3), we are able to fill the gap the absence of comparable data leaves. In the ESS-3, depression is measured with an eight-item version of the Center for Epidemiological Studies-Depression Scale. In the current study, we examine depression among men and women aged 18-75 in 23 European countries. Our results indicate that women report higher levels of depression than men do in all countries, but there is significant cross-national variation in this gender gap. Gender differences in depression are largest in some of the Eastern and Southern European countries and smallest in Ireland, Slovakia and some Nordic countries. Hierarchical linear models show that socioeconomic as well as family-related factors moderate the relationship between gender and depression. Lower risk of depression is associated in both genders with marriage and cohabiting with a partner as well as with having a generally good socioeconomic position. In a majority of countries, socioeconomic factors have the strongest association with depression in both men and women. This research contributes new findings, expanding the small existing body of literature that presents highly comparable data on the prevalence of depression in women and men in Europe.

Research Review: What we have learned about the causes of eating disorders – a synthesis of sociocultural, psychological, and biological research

Abstract: Background Eating disorders are severe psychiatric disorders with a complex etiology involving transactions among sociocultural, psychological, and biological influences. Most research and reviews, however, focus on only one level of analysis. To address this gap, we provide a qualitative review and summary using an integrative biopsychosocial approach. Methods We selected variables for which there were available data using integrative methodologies (e.g., twin studies, gene-environment interactions) and/or data at the biological and behavioral level (e.g., neuroimaging). Factors that met these inclusion criteria were idealization of thinness, negative emotionality, perfectionism, negative urgency, inhibitory control, cognitive inflexibility, serotonin, dopamine, ovarian hormones. Literature searches were conducted using PubMed. Variables were classified as risk factors or correlates of eating disorder diagnoses and disordered eating symptoms using Kraemer et al.'s (1997) criteria. Findings Sociocultural idealization of thinness variables (media exposure, pressures for thinness, thin-ideal internalization, thinness expectancies) and personality traits (negative emotionality, perfectionism, negative urgency) attained ‘risk status’ for eating disorders and/or disordered eating symptoms. Other factors were identified as correlates of eating pathology or were not classified given limited data. Effect sizes for risk factors and correlates were generally small-to-moderate in magnitude. Conclusions Multiple biopsychosocial influences are implicated in eating disorders and/or disordered eating symptoms and several can now be considered established risk factors. Data suggest that psychological and environmental factors interact with and influence the expression of genetic risk to cause eating pathology. Additional studies that examine risk variables across multiple levels of analysis and that consider specific transactional processes amongst variables are needed to further elucidate the intersection of sociocultural, psychological, and biological influences on eating disorders.