Tomada de decisão em Adolescentes: um constructo multifacetado
DOI:
https://doi.org/10.7322/jhgd.v30.10362Palavras-chave:
Sistema nervoso, Decisão, AdolescenteResumo
Julgar para tomar uma decisão em meio a várias possibilidades que ensejam riscos, perdas, ganhos e incertezas não se configura em questão simples. Nesse processo, o sujeito precisa verificar a situação considerando as alternativas que se compõem de diversos elementos, entre eles, a análise do quanto custará essa decisão e que beneficio terá em resposta, e quais serão as consequências a longo, médio e curto prazo. Nesse sentido, a tomada de decisão está associada ao processo deliberativo e afetivo que se relaciona com múltiplas variáveis que estão interligadas com o fluxo de informações assimiladas pelo agente que é responsável pelo julgamento e pela decisão. Esse processo é interdependente da estrutura do sujeito com os estímulos externos. Dessa forma, as forças do sujeito e as forças sociais são elementos importantes a serem considerados para a tomada de decisão. Para o adolescente essa questão se torna ainda mais importante, pois é uma fase do desenvolvimento humano em que a pessoa apresenta uma série de comportamentos de risco, isso considerando que durante essa etapa da vida está ocorrendo um processo de maturação do sistema nervoso central, que estão relacionadas a tomada de decisão e processos motivacionais. Portanto, tomada de decisão entre adolescentes se configura numa questão complexa que além de fatores biológicos se relacionam diretamente com elementos sociais e psicológicos, depende de uma maturidade no desenvolvimento, mas pode estar prejudicada se as situações de estresse forem estímulos constante na vida dos adolescentes.
Referências
1. Fuentes D, Diniz-Malloy LF, Camargo PHC, Cosenza MR. Neuropsicologia: teoria e prática. 2 ed. Porto Alegre: Artmed, 2014;9(9): 128-129.
2. Dorneles TM. As bases neuropsicológicas da emoção: um diálogo acerca da aprendizagem. Rev Acad Licenciacturas. 2014;2(2):14-21.
3. Kahneman D. Rápido e devagar: duas formas de pensar. Rio de Janeiro: Objetiva, 2012;22(22):292-304.
4. Damásio A R. O erro de Descartes: emoção, razão e o cérebro humano. São Paulo: Companhia das Letras, 1996;2 (7):91-97
5. Damásio A R. O cérebro criou o homem. São Paulo: Companhia das Letras, 2011;5(5):140-145.
6. Kluwe-Schiavon B, Sanvicente-Vieira B, Viola TW, Veiga E, Bortolotto V, Grassi-Oliveira R. Assessing Affective and Deliberative Decision-Making: Adaptation of the Columbia Card Task to Brazilian Portuguese. Span J Psychol. 2015;18:E89. DOI: http://doi.org/10.1017/sjp.2015.81
7. Bissoto ML. Auto-organização, cognição corporificada e os princípios da racionalidade limitada. Ciênc Cogn. 2007;(11):80-90.
8. Diniz LFM, Schiavon BK, Grassi-Oliveira R. Julgamento e tomada de decisão. São Paulo: Pearson Clinical Brasil, 2018; (5):111-119.
9. Figner B, Voelki N. Risky decision making in a computer card game: an information integration experiment. Polish Psycholog Bulletan. 2004;35(3):135-9.
10. Reyna VF, Farley F. Risk rationality in adolescent decision making: Implications for theory, practice, and public policy. Psycholog Sci Public Interest. 2006;7(1):1-44. DOI: https://doi.org/10.1111/j.1529-1006.2006.00026.x
11. Kluwe-Schiavon B, Viola TW, Sanvicente-Vieira B, Pezzi JC, Grassi-Oliveira R. Similarities between adult female crack cocaine users and adolescents in risky decision-making scenarios. J Clin Exp Neuropsychol. 2016;38(7):795-810. DOI: https://doi.org/10.1080/13803395.2016.1167171
12. Fundação Oswaldo Cruz (FIOCRUZ). III Levantamento Nacional sobre o uso de drogas pela população Brasileira. Rio de Janeiro: FIOCRUZ, 2017: (4): 79-85.
13. Rodrigo MJ, Padron I, Vega M, Ferstl EC. Adolescents’ risky decision-making activates neural networks related to social cognition and cognitive control processes. Fron Hum Neurosci. 2014;8;60. DOI: https://doi.org/10.3389/fnhum.2014.00060
14. Olson EA, Hooper CJ, Collins P, Luciana M. Adolescents’ performance on delay and probability discounting tasks: contributions of age, intelligence, executive functioning, and self-report externalizing behavior. Pers Individ Dif. 2007;4397):1886-97. DOI: https://doi.org/10.1016/j.paid.2007.06.016
15. Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa Nacional de Saúde do Escolar. Rio de Janeiro: IBGE, 2016: (5):18-22.
16. World Health Organization (WHO). Global accelerated action for the health of adolescents (AA-HA!): guidance to support country implementation. Geneva: WHO, 2017:(3) :40-44.
17. Pimentel RMM, Drezett J, Macedo Jr H, Andreoni S, Silva RS.Abortion withdrawal of sexual violence pregnancy: the role of the sex offender. J Hum Growth Dev. 2020;30(2):170-178. DOI: https://doi.org/10.7322/jhgd.v30.10363
18. Cavaggioni APM, Martins MCF, Benincasa M. Influence of type of birth on child development: a comparison by Bayley- III Scale. J Hum Growth Dev. 2020;30(2):301-310. DOI: https://doi.org/10.7322/jhgd.v30.10382
19. Albuquerque KA, Cunha ACB. Novas tendências em instrumentos para triagem do desenvolvimento infantil no Brasil: uma revisão sistemática. J Hum Growth Dev. 2020; 30(2):xxxx. DOI: https://doi.org/10.7322/jhgd.v30.10366
20. Giacomozzi AI, Cardoso JL, Figueiredo CDS, Meneghetti NCO, Wiggers GA, Nunes PP, et al. Experiences of violence among students of public schools. J Hum Growth Dev. 2020;30(2):179-187.
DOI: https://doi.org/10.7322/jhgd.v30.10365
21. Medeiros AJ, Lima JS, Cardoso VVBP, Palmeira PA. Longitudinal monitoring of nutritional status of schoolchildren at a public school. J Hum Growth Dev. 2020;30(2):209-215. DOI: https://doi.org/10.7322/jhgd.v30.10367
22. Lopes MN, Grassiolli S, Veríssimo MLOR, Toso BRGO, Favil PT, Paula ACR, Viera CS. Dietary habits, anthropometric and metabolic profile of adolescents born prematurely. J Hum Growth Dev. 2020;30(2):241-250. DOI: https://doi.org/10.7322/jhgd.v30.10370
23. Almeida EW, Greguol M. Lipid profile in people with Down syndrome: a literature review. J Hum Growth Dev. 2020;30(2):197-208. DOI: https://doi.org/10.7322/jhgd.v30.9968
24. Farias ES, Moreira KFA, Santos JP, Gemelli IFB, Costa GM, Souza OF. Overweight and obesity: prevalence in children and adolescents in Northern Brazil. J Hum Growth Dev. 2020;30(2):266-273.
DOI: https://doi.org/10.7322/jhgd.v30.10376
25. Tornquist D, Tornquist L, Reuter CP, Horta JA, Renner JDP, Burgos MS. Effects of an interdisciplinary intervention on insulin resistance indicators in overweight and obese adolescents. J Hum Growth Dev. 2020;30(2):274-282. DOI: https://doi.org/10.7322/jhgd.v30.10379
26. Schmidt BC, Gerzson LR, Almeida CS. The use of surface electromiography as a measure of physiotherapy outcomes in children with Cerebral Palsy: a systematic review. J Hum Growth Dev. 2020;30(2):216-226. DOI: https://doi.org/10.7322/jhgd.v30.10368
27. Lopes BM, Bueno CD, Didoné DD, Sleifer P.Comparison between click and ce-chirp® stimuli in neonatal hearing screening. J Hum Growth Dev. 2020;30(2):260-265. DOI: https://doi.org/10.7322/jhgd.v30.10375
28. Castilho T, Itaborahy BDH, Hoepers A, Brito JN, Almeida ACS, Schivinski CIS. Effects of inspiratory muscle training and breathing exercises in children with asthma: a systematic review. J Hum Growth Dev. 2020;30(2):291-300. DOI: https://doi.org/10.7322/jhgd.v30.10381
29. Ferro RP, Cosson ICO, Santos JA, Macedo LR, Macedo MR, Carvalho JS, et al. characterization of congenital syphilis cases with emphasis on the therapeutic scheme in a philanthropic maternity hospital in Espírito Santo. J Hum Growth Dev. 2020; 30(2):283-290. DOI: https://doi.org/10.7322/jhgd.v30.10380
30. Oliveira FS, Morais MJD, Abreu LC, Pérez-Riera AR, Valenti VE, Paiva LS, et al. The effects of aerobic exercise on biochemical parameters in individuals with CKD on hemodialysis: A longitudinal study. J Hum Growth Dev. 2020; 30(2):251-259. DOI: https://doi.org/10.7322/jhgd.v30.10374
31. Castro A, Vitali MM, Bousfield ABS, Camargo BV. Social representations of the internet for the elderly. J Hum Growth Dev. 2020;30(2):227-240. DOI: https://doi.org/10.7322/jhgd.v30.10369
32. Bezerra PCL, Opitz SP, Koifman RJ, Monteiro GTR, Muniz PT. Self- Reported morbidity in adults: population survey in Rio Branco, Brazil, 2007 – 2008. J Hum Growth Dev. 2020;30(2):311-325. DOI: https://doi.org/10.7322/jhgd.v30.10383
33. Valenti VE, Menezes PL, de Abreu ACG, Alves Vieira GN, Garner DM. Social distancing measures could have reduced estimated deaths related to COVID-19 in Brazil . J Hum Growth Dev. 2020; 30(2):164-169. DOI: https://doi.org/10.7322/jhgd.v30.10360
2. Dorneles TM. As bases neuropsicológicas da emoção: um diálogo acerca da aprendizagem. Rev Acad Licenciacturas. 2014;2(2):14-21.
3. Kahneman D. Rápido e devagar: duas formas de pensar. Rio de Janeiro: Objetiva, 2012;22(22):292-304.
4. Damásio A R. O erro de Descartes: emoção, razão e o cérebro humano. São Paulo: Companhia das Letras, 1996;2 (7):91-97
5. Damásio A R. O cérebro criou o homem. São Paulo: Companhia das Letras, 2011;5(5):140-145.
6. Kluwe-Schiavon B, Sanvicente-Vieira B, Viola TW, Veiga E, Bortolotto V, Grassi-Oliveira R. Assessing Affective and Deliberative Decision-Making: Adaptation of the Columbia Card Task to Brazilian Portuguese. Span J Psychol. 2015;18:E89. DOI: http://doi.org/10.1017/sjp.2015.81
7. Bissoto ML. Auto-organização, cognição corporificada e os princípios da racionalidade limitada. Ciênc Cogn. 2007;(11):80-90.
8. Diniz LFM, Schiavon BK, Grassi-Oliveira R. Julgamento e tomada de decisão. São Paulo: Pearson Clinical Brasil, 2018; (5):111-119.
9. Figner B, Voelki N. Risky decision making in a computer card game: an information integration experiment. Polish Psycholog Bulletan. 2004;35(3):135-9.
10. Reyna VF, Farley F. Risk rationality in adolescent decision making: Implications for theory, practice, and public policy. Psycholog Sci Public Interest. 2006;7(1):1-44. DOI: https://doi.org/10.1111/j.1529-1006.2006.00026.x
11. Kluwe-Schiavon B, Viola TW, Sanvicente-Vieira B, Pezzi JC, Grassi-Oliveira R. Similarities between adult female crack cocaine users and adolescents in risky decision-making scenarios. J Clin Exp Neuropsychol. 2016;38(7):795-810. DOI: https://doi.org/10.1080/13803395.2016.1167171
12. Fundação Oswaldo Cruz (FIOCRUZ). III Levantamento Nacional sobre o uso de drogas pela população Brasileira. Rio de Janeiro: FIOCRUZ, 2017: (4): 79-85.
13. Rodrigo MJ, Padron I, Vega M, Ferstl EC. Adolescents’ risky decision-making activates neural networks related to social cognition and cognitive control processes. Fron Hum Neurosci. 2014;8;60. DOI: https://doi.org/10.3389/fnhum.2014.00060
14. Olson EA, Hooper CJ, Collins P, Luciana M. Adolescents’ performance on delay and probability discounting tasks: contributions of age, intelligence, executive functioning, and self-report externalizing behavior. Pers Individ Dif. 2007;4397):1886-97. DOI: https://doi.org/10.1016/j.paid.2007.06.016
15. Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa Nacional de Saúde do Escolar. Rio de Janeiro: IBGE, 2016: (5):18-22.
16. World Health Organization (WHO). Global accelerated action for the health of adolescents (AA-HA!): guidance to support country implementation. Geneva: WHO, 2017:(3) :40-44.
17. Pimentel RMM, Drezett J, Macedo Jr H, Andreoni S, Silva RS.Abortion withdrawal of sexual violence pregnancy: the role of the sex offender. J Hum Growth Dev. 2020;30(2):170-178. DOI: https://doi.org/10.7322/jhgd.v30.10363
18. Cavaggioni APM, Martins MCF, Benincasa M. Influence of type of birth on child development: a comparison by Bayley- III Scale. J Hum Growth Dev. 2020;30(2):301-310. DOI: https://doi.org/10.7322/jhgd.v30.10382
19. Albuquerque KA, Cunha ACB. Novas tendências em instrumentos para triagem do desenvolvimento infantil no Brasil: uma revisão sistemática. J Hum Growth Dev. 2020; 30(2):xxxx. DOI: https://doi.org/10.7322/jhgd.v30.10366
20. Giacomozzi AI, Cardoso JL, Figueiredo CDS, Meneghetti NCO, Wiggers GA, Nunes PP, et al. Experiences of violence among students of public schools. J Hum Growth Dev. 2020;30(2):179-187.
DOI: https://doi.org/10.7322/jhgd.v30.10365
21. Medeiros AJ, Lima JS, Cardoso VVBP, Palmeira PA. Longitudinal monitoring of nutritional status of schoolchildren at a public school. J Hum Growth Dev. 2020;30(2):209-215. DOI: https://doi.org/10.7322/jhgd.v30.10367
22. Lopes MN, Grassiolli S, Veríssimo MLOR, Toso BRGO, Favil PT, Paula ACR, Viera CS. Dietary habits, anthropometric and metabolic profile of adolescents born prematurely. J Hum Growth Dev. 2020;30(2):241-250. DOI: https://doi.org/10.7322/jhgd.v30.10370
23. Almeida EW, Greguol M. Lipid profile in people with Down syndrome: a literature review. J Hum Growth Dev. 2020;30(2):197-208. DOI: https://doi.org/10.7322/jhgd.v30.9968
24. Farias ES, Moreira KFA, Santos JP, Gemelli IFB, Costa GM, Souza OF. Overweight and obesity: prevalence in children and adolescents in Northern Brazil. J Hum Growth Dev. 2020;30(2):266-273.
DOI: https://doi.org/10.7322/jhgd.v30.10376
25. Tornquist D, Tornquist L, Reuter CP, Horta JA, Renner JDP, Burgos MS. Effects of an interdisciplinary intervention on insulin resistance indicators in overweight and obese adolescents. J Hum Growth Dev. 2020;30(2):274-282. DOI: https://doi.org/10.7322/jhgd.v30.10379
26. Schmidt BC, Gerzson LR, Almeida CS. The use of surface electromiography as a measure of physiotherapy outcomes in children with Cerebral Palsy: a systematic review. J Hum Growth Dev. 2020;30(2):216-226. DOI: https://doi.org/10.7322/jhgd.v30.10368
27. Lopes BM, Bueno CD, Didoné DD, Sleifer P.Comparison between click and ce-chirp® stimuli in neonatal hearing screening. J Hum Growth Dev. 2020;30(2):260-265. DOI: https://doi.org/10.7322/jhgd.v30.10375
28. Castilho T, Itaborahy BDH, Hoepers A, Brito JN, Almeida ACS, Schivinski CIS. Effects of inspiratory muscle training and breathing exercises in children with asthma: a systematic review. J Hum Growth Dev. 2020;30(2):291-300. DOI: https://doi.org/10.7322/jhgd.v30.10381
29. Ferro RP, Cosson ICO, Santos JA, Macedo LR, Macedo MR, Carvalho JS, et al. characterization of congenital syphilis cases with emphasis on the therapeutic scheme in a philanthropic maternity hospital in Espírito Santo. J Hum Growth Dev. 2020; 30(2):283-290. DOI: https://doi.org/10.7322/jhgd.v30.10380
30. Oliveira FS, Morais MJD, Abreu LC, Pérez-Riera AR, Valenti VE, Paiva LS, et al. The effects of aerobic exercise on biochemical parameters in individuals with CKD on hemodialysis: A longitudinal study. J Hum Growth Dev. 2020; 30(2):251-259. DOI: https://doi.org/10.7322/jhgd.v30.10374
31. Castro A, Vitali MM, Bousfield ABS, Camargo BV. Social representations of the internet for the elderly. J Hum Growth Dev. 2020;30(2):227-240. DOI: https://doi.org/10.7322/jhgd.v30.10369
32. Bezerra PCL, Opitz SP, Koifman RJ, Monteiro GTR, Muniz PT. Self- Reported morbidity in adults: population survey in Rio Branco, Brazil, 2007 – 2008. J Hum Growth Dev. 2020;30(2):311-325. DOI: https://doi.org/10.7322/jhgd.v30.10383
33. Valenti VE, Menezes PL, de Abreu ACG, Alves Vieira GN, Garner DM. Social distancing measures could have reduced estimated deaths related to COVID-19 in Brazil . J Hum Growth Dev. 2020; 30(2):164-169. DOI: https://doi.org/10.7322/jhgd.v30.10360
