Procedia - Social and Behavioral Sciences 146 ( 2014 ) Third Annual International Conference «Early Childhood Care and Education»

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Available online at www.sciencedirect.com ScienceDirect Procedia - Social and Behavioral Sciences 146 ( 2014 ) 105 111 Third Annual International Conference «Early Childhood Care and Education» The linkage between stressful life, emotional intelligence, cognitive errors and depressiveness in adolescents Alexandra Belova a, Elena Sabirova b, Sergey Malykh a * a Psychological Institute RAE, Moscow, Russia b Kyrgyz Russian Slavic University, Bishkek, Kyrgyzstan Abstract The linkage between stressful life, emotional intelligence, cognitive errors and depressiveness is investigated on the sample of 713 adolescents aged 13 to 17 from Russia and Kirghizstan. Statistically significant correlations with the depressiveness score (CDI) were observed for all the measurements: cognitive errors (CNCEQ), emotional intelligence (EQI) and stressful life. Cognitive errors appeared to be correlated with the perception of number and importance of stressful life (both dependent and independent on persons behaviour). Emotional intelligence scales (Coping with stress and Intrapersonal ability) were correlated only with life that are dependent on ones behaviour and might be provoked by the person. 2013 2014 Belova The Authors. A., Sabirova Published E., by Malykh Elsevier S. Ltd. Published This is by an Elsevier open access Ltd. article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Selection and/or peer-review under under responsibility of Russian of Russian Psychological Society. Society. Keywords: depressiveness, adolescents, emotional intellegence stressful life, negative cognitive errors, stressful life evens 1. Introduction It is fairly known that life of each and every person is full of challenges that one faces every day. Still some people manage to feel happier than others do. What factors are responsible for this difference? Presence of negative life or reaction to them? Ability to withstand difficulties or happy genes? In our study we handle depressiveness from the perspective of individual differences so that it serves as a marker of emotional wellbeing varying from total absence of any depressive symptoms to severe semi-clinical * Corresponding author.. E-mail address: malykhsb@mail.ru 1877-0428 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Selection and peer-review under responsibility of Russian Psychological Society. doi:10.1016/j.sbspro.2014.08.095

106 Alexandra Belova et al. / Procedia - Social and Behavioral Sciences 146 ( 2014 ) 105 111 states. Depression is obviously not the only way to react on bad things in life but still one of the most popular. To scale the size of the problem we can just mention that Depression is one of the main psychiatric diseases that cause disability and mortality according to World Health Organization data (WHO 2008, 2012 [1] [2]). In clinical perspective, diathesis-stress models of depression suggest that specific types of psychopathology arise from a combination of vulnerability factors (diatheses) in the context of life stress. The diatheses might be different in their nature and fall in few groups such as: genetic and other biological factors (for example Katz R.& McGuffin P., 1993 [3]; Plomin R. et al., 1997 [4] and others); cognitive and social diatheses (for example Abramson L.Y. et al., 1988 [5]; Metalsky F.I. et al., 1982 [6], etc); personality diathesis (for example Clark L.A. et al., 1994 [7], etc). These approaches are not contradicting and rather show different levels and aspects of the issue. At the same time there are evidence that diatheses not only meat with stress but can also interact (Carey G., DiLalla D.L., 1994 [8]) and even provoke stressful life. The main purpose of the present study is to investigate the link between depression, emotional intelligence, cognitive errors and life stress in teenagers. The influence of the genetic diathesis is out of scope in the present paper. 2. Methods 2.1. Sample 713 adolescents aged 13 to 17 years from Russia and Kirgizstan took part in the survey. Among them: 208 young adolescents (13-14 y.o.) and 505 elder adolescents (15-17 y.o.); 335 boys and 378 girls. 2.2. Measurements Depressiveness. CDI. The level of depressiveness was measured by means of Children s Depression Inventory (CDI; Kovacs, 2008 [9]). The questionnaire contains 27 items related to depressive symptoms. Each item contains three statements that represent presence of the symptom and its intensity. Respondents are asked to choose one of the statements which best describes how they feel during past two weeks. CDI is designed to measure depression among children and adolescents aged 6 to 17 and allows to evaluate such symptoms as depressive mood, cognitive symptoms of depression, somatic complains, social and behavior problems related to depression. CDI was administered to the participants for self evaluation in the set of other questionnaires related to emotional and cognitive spheres. Stressful life. Information regarding stressful life was obtained by means of Stressful life inventory which was created based on List of stressful life by R.Koddington and Teenager life list by.i. Podolskiy &.. Idobaeva [10]. Respondents were asked to tick those life that happened with them out of 23 listed and evaluate how important each was for them using 4 point scale. Such indicators as number of stressful life and importance of stressful life were analyzed. Emotional intelligence (EI). Teenage version of EQI by R. Bar-on (EQI-YV, Bar-On R., 2000 [11]) was employed to measure emotional intelligence. EQI-YV is the self-report questionnaire for children and adolescents 7 to 18 y.o. According to this model Emotional intelligence includes emotional, social and behavioral sides that are related to understanding self and others, communication, adaptation to changing environment, and control over emotions. The questionnaire evaluates general EI and five scale: Adaptation, Intrapersonal abilities, Interpersonal abilities, Coping with stress and General mood. Cognitive errors. To measure cognitive errors Children Negative Cognitive Error questionnaire (CNCEQ, Leitenberg H. et al, 1986 [12]) was used. CNCEQ contains 23 items. Each of the items represents typical situation that might happen in teenagers life. Respondents are asked to choose one of three possible ways to

Alexandra Belova et al. / Procedia - Social and Behavioral Sciences 146 ( 2014 ) 105 111 107 react on each situation. Four types of cognitive errors are measured: Catastrophization, Personalization, Selective attention and Generalization.

108 Alexandra Belova et al. / Procedia - Social and Behavioral Sciences 146 ( 2014 ) 105 111 2.3. Statistical analysis SPSS 17.0 was used for statistical data analysis. Correlation analysis (Spearman s rang correlation coefficient) was employed to understand the relationships between depressiveness, stressful life, cognitive errors and emotional intelligence in teenagers. 3. Results We took depressiveness (CDI) as the central construct in our analysis and investigate its correlation with other measured constructs (such as emotional intelligence, negative cognitive errors and stressful life ) by means of correlation analysis. The linkage of stressful life with all other constructs was investigated separately as well. For the analytical purpose the were grouped according to their dependence or independence on persons behaviour. For instance Quarrels with others were marked as Dependent life event as person can influence or provoke them, while Death of close person is marked as Independent event because one cannot change it. This grouping allowed us to discuss how more and less personally driven difficulties are linked to depression and how they are related with EI, cognitive errors and family environment. Though before proceeding with stressful life let us look on the relationships of depressiveness, EI and negative cognitive errors. Depressiveness and Emotional Intelligence. Spearman's rho was calculated to evaluate the connection between EI and depressiveness. As expected the correlations we received were negative and statistically significant. The results are shown in Table 1. The highest correlations were seen between depressiveness and the General mood scale (r=-0.543, <0.01) as well as Coping with stress scale (r=-0.502, <0.01), which represents the ability of a person to resist stress on one hand and to control own emotions on the another hand. The only EI scale which didn t show statistically significant correlation with depressiveness was the Interpersonal abilities scale which includes such characteristics as empathy, social responsibility, ability to build and maintain good and close relationships with other people. Table 1. The correlations between depressiveness (CDI total score) and EI measurements are shown. All correlations significant on 0.01 confidence level are market with **.

Alexandra Belova et al. / Procedia - Social and Behavioral Sciences 146 ( 2014 ) 105 111 109 EQI measurements r (correlation with CDI total score) p EQI total score -0.537** 0.000 Adaptation scale EQI -0.223** 0.003 Intrapersanal abilities scale EQI -0.298** 0.000 Interpersonal abilities scale EQI -0.089 0.231 Coping with stress EQI -0.502** 0.000 General mood EQI -0.543** 0.000 Depressiveness and cognitive errors. All types of the negative cognitive errors measured in this study by means of CNCEQ appeared to be positively correlated with the level of depressiveness in teenagers. Correlation of depressiveness (CDI) with the CNCEQ total score was r=0.440, <0.01; correlation with the Catastrophysation scale was r=0.385, <0.01; correlation with the Personalisation scale r=0.347, <0.01; correlation with the Selective attention scale was r=0.385, <0.01; correlation with the Generalisation scale was r=0.429, <0.01). Depressiveness and the stressful life. Both the number of stressful life and their importance to the person appeared to be significantly correlated with the level of depressiveness (correlation with the number of stressful event was r=0.272, <0.01; correlation with the personal importance of stressful life was r=0.258, <0.01 ). Interestingly, when we look separately on the dependent life (that might be influenced or provoked by the persons behaviour) and independent (that one can not really influence) it appeared that despite the fact that all correlations were positive and statistically significant, correlation coefficients for dependent life were notably higher. That might mean that those that are dependent on persons behaviour and personality are slightly more linked with depressiveness or visa versa those respondents who had higher depressiveness scores are more likely to mention bigger number of dependent life as stressful. Correlation coefficients for dependent and independent stressful life are shown in Table 2. Table 2. The correlations between depressiveness (CDI total score) and stressful life measurements are shown. All correlations significant on 0.01 confidence level are market with ** Stressful life measurements Dependent stressful life : r (correlation with CDI total score) - Number of 0.278** 0.00 - Importance of 0.286** 0.00 Independent stressful life : - Number of 0.173** 0.00 - Importance of 0.176** 0.00 Emotional intelligence, cognitive errors and perception of stressful life. When we analysed how the perception of number and importance of stressful life were related to EI and cognitive errors we found number of significant correlations. It was found that subjective importance of stressful life was significantly and positively correlated with all types of cognitive errors (for catastrophysation r= 0.203, <0.01; for personalisation r=0.290, <0.01; for selective attention r=0.264, <0.01; for generalisation r=0.310, <0.01), as well as with level of EI in general (r=-0.241; <0.01) and such scales as Coping with stress (r=-0.226; <0.01) and Intrapersonal abilities (r=-0.153; <0.05) in particular. Intrapersonal abilities scale gathers together such characteristics as ability to identify and understand own emotions, ability to express the emotions in front of other people, ability to give correct interpretation to own emotions and consciously control them. The number of stressful life that were reported by teenagers appeared also to be correlated with such cognitive errors as personalisation (r=0.178; <0.01), selective attention (r=0.219; <0.01), generalisation p

110 Alexandra Belova et al. / Procedia - Social and Behavioral Sciences 146 ( 2014 ) 105 111 (r=0.236; <0.01) as well as with the EQI scale Coping with stress (r=-0.211; <0.05). These results lead us to the conclusion that not only the importance but also a number of reported stressful life are linked with the emotional and cognitive characteristics of a person. Thus teenagers with depressive cognitive style and lower ability to control their emotions are more likely not only to consider stressful live to have more impact on their life but also to report bigger number of stressful life than their more emotionally secured pears. Still the question is whether the fact that teenagers with lower EI and higher cognitive errors scores report more stressful life reflects the reality (more stressful happens with them by chance or because their behaviour provoke them) or this reflects the fact that they simply classify more that happen in their lives as stressful compared to their pears. In this respect interesting results are found when we analyse dependent and independent life separately. The results of this analysis are shown in table 3. Table 3 The correlations between EI, cognitive errors and dependent and independent stressful life are shown. All correlations significant on 0.01 confidence level are market with **. Correlations significant at 0.05 conf. level are marked with *. Importance of dependent stressful life Importance of independent stressful life Number of dependent stressful life Number of independent stressful life r p r p r p r P Cognitive errors (CNCEQ) - Catastrophysation 0.096 0.166 0.180** 0.009 0.065 0.346 0.140* 0.044 - Personalisation 0.176* 0.010 0.224** 0.001 0.125 0.068 0.206** 0.003 - Selective attention 0.188** 0.006 0.206** 0.003 0.177* 0.010 0.201** 0.003 - Generalisation 0.253** 0.000 0.222** 0.001 0.218** 0.002 0.207** 0.003 Emotional Intelligence (EQI) - 0.233** 0.005-0.164 0.051-0.220** 0.009-0.148 0.078 - Adaptation -0.097 0.184-0.065 0.373-0.079 0.279-0.076 0.296 - Intrapersanal abilities -0.172* 0.013-0.092 0.185-0.154* 0.027-0.062 0.374 - Interpersonal abilities 0.050 0.480 0.041 0.567 0.039 0.579 0.019 0.793 - Coping with stress -0.223** 0.002-0.106 0.135-0.202** 0.004-0.074 0.301 - General mood -0.140 0.065-0.044 0.562-0.111 0.141-0.030 0.691 Cognitive errors of Generalisation and Selective attention equally correlate with dependent and independent stressful life. Catastrophysation and Personalization scales are more correlated with the independent life. The situation is opposite for EI as its scales Coping with stress and Intrapersonal abilities (as well as the total EQI score) are significantly correlated only with dependent life. Thus we can suspect that cognitive errors are more likely to influence the way how the person perceives life that happen in his/her life (whether they are considered to be stressful or not) and how likely the person is to report them in the questionnaire. In this case there is no difference whether this are dependent on ones behaviour or not. At the same time Emotional intelligence (ability to cope with stress and intrapersonal abilities first of all) are more likely to influence the presence of dependent life in the life of the person and are not correlated with the reporting of independent life. References [1] World Health Organization. The Global Burden of Disease 2004 update [online resource]:

Alexandra Belova et al. / Procedia - Social and Behavioral Sciences 146 ( 2014 ) 105 111 111 http://www.who.int/ healthinfo/global_burden_disease/gbd_ re- port_2004update_full.pdf, 2008. [2] World health Organization. Depression. A global public health concern [online resource]: http://www.who.int/mental_ health/management/depression/who_paper_ depression_wfmh_2012.pdf, 2012. [3] Katz R, McGuffin P. The genetics of affective disorders. Progress in Experimental Personality & Psychopathology Research 1993; 16: 200 221. [4] Plomin R, DeFries JC, McClearn G E, Rutter M. Behavioral genetics.3rd. ed... New York: Freeman; 1997. [5]Abramson L.Y, Metalsky GI, Alloy LB. The hopelessness theory of depression: Does the research test the theory? In Abramson LY, editor. Social cognition and clinical psychology: A synthesis.. New York: Guilford; 1988, p. 33-65. [6] Metalsky GI, Abramson LY, Seligman MEP, Semmel A, Peterson C. Attributional styles and life in the classroom: Vulnerability and invulnerability to depressive mood reactions. Journal of Personality and Social Psychology 1982; 43(3): 612-617. [7] Clark LA, Watson D. Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications Journal of Abnormal Psychology 1991; 100: 316 336. [8] Carey G, DiLalla DL. Personality and psychopathology: Genetic perspectives Journal of Abnormal Psychology 1994; 103(1): 32-43. [9] Kovacs MI. Technical Manual Update. Toronto: Multi-Health Systems, Inc.; 2008. [10] Podolsky AI, Idobaeve, Heymans P. Measuring adolescent depressiveness, Theory and practice. St.Petersburg: Piter; 2004. [11] Bar-On R, Parker JDA. The Bar-On Emotional Quotient Inventory: Youth Version (EQ-i:YV). Toronto: Multi-Health Systems; 2000. [12] Leitenberg Y, Wilson C. Children's Negative Cognitive Error Questionnaire (CNCEQ). In Tests in Microfiche, Test Collection 30-B. Princeton, NJ 08541: Educational Testing Service; 1985. Purchased from http://www.digitalriver.com/dr/v2/ec_main.entry17c?sp=10007&cid=0&sid=30027&pn=5&pid=406181.