114 research outputs found

    The development of temperament and character during adolescence: The processes and phases of change

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    AbstractWe studied the pattern of personality development in a longitudinal population-based sample of 752 American adolescents. Personality was assessed reliably with the Junior Temperament and Character Inventory at 12, 14, and 16 years of age. The rank-order stability of Junior Temperament and Character Inventory traits from age 12 to 16 was moderate (r = .35). Hierarchical linear modeling of between-group variance due to gender and within-group variance due to age indicated that harm avoidance and persistence decreased whereas self-directedness and cooperativeness increased from age 12 to 16. Novelty seeking, reward dependence, and self-transcendence increased from age 12 to 14 and then decreased. This biphasic pattern suggests that prior to age 14 teens became more emancipated from adult authorities while identifying more with the emergent norms of their peers, and after age 14 their created identity was internalized. Girls were more self-directed and cooperative than boys and maintained this advantage from age 12 to 16. Dependability of temperament at age 16 was mainly predicted by the same traits at earlier ages. In contrast, maturity of character at age 16 was predicted by both temperament and character at earlier ages. We conclude that character develops rapidly in adolescence to self-regulate temperament in accord with personally valued goals shaped by peers.</jats:p

    Examining associations between genetic and neural risk for externalizing behaviors in adolescence and early adulthood

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    BACKGROUND: Researchers have identified genetic and neural risk factors for externalizing behaviors. However, it has not yet been determined if genetic liability is conferred in part through associations with more proximal neurophysiological risk markers. METHODS: Participants from the Collaborative Study on the Genetics of Alcoholism, a large, family-based study of alcohol use disorders were genotyped and polygenic scores for externalizing (EXT PGS) were calculated. Associations with target P3 amplitude from a visual oddball task (P3) and broad endorsement of externalizing behaviors (indexed via self-report of alcohol and cannabis use, and antisocial behavior) were assessed in participants of European (EA; RESULTS: The EXT PGS was significantly associated with higher levels of externalizing behaviors among EA adolescents and young adults as well as AA young adults. P3 was inversely associated with externalizing behaviors among EA young adults. EXT PGS was not significantly associated with P3 amplitude and therefore, there was no evidence that P3 amplitude indirectly accounted for the association between EXT PGS and externalizing behaviors. CONCLUSIONS: Both the EXT PGS and P3 amplitude were significantly associated with externalizing behaviors among EA young adults. However, these associations with externalizing behaviors appear to be independent of each other, suggesting that they may index different facets of externalizing

    Heritability of risk-taking in adolescence: A longitudinal twin study

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    Adolescents are prone to risk-taking behaviors leading to adverse consequences such as substance abuse, accidents, violence, and victimization. However, little is known about the contribution of genetic and environmental factors to individual differences in the propensity for risk-taking. This study investigated developmental changes, longitudinal stability, and heritability of risk-taking using data from 752 adolescent twins including 169 MZ and 203 DZ pairs. The Balloon Analogue Risk Task (BART), an experimental behavioral measure of risk taking, was administered to the twins at age 12 and then re-administered to a part of this sample at age 14. Risk-taking increased with age, but individual differences showed a significant longitudinal stability. Genetic model fitting showed that at age 12, heritability of risk-taking was modest but significant in both sexes, whereas at age 14, heritability increased to 55% in males and became non-significant in females. The findings suggest that propensity for risk-taking as measured by BART can be a useful endophenotype for genetic studies of adolescent externalizing psychopathology, however, the utility of this measure may be limited by sex differences in heritability

    Familial influences on the full range of variability in attention and activity levels during adolescence: A longitudinal twin study

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    AbstractTo investigate familial influences on the full range of variability in attention and activity across adolescence, we collected maternal ratings of 339 twin pairs at ages 12, 14, and 16, and estimated the transmitted and new familial influences on attention and activity as measured by the Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior Scale. Familial influences were substantial for both traits across adolescence: genetic influences accounted for 54%–73% (attention) and 31%–73% (activity) of the total variance, and shared environmental influences accounted for 0%–22% of the attention variance and 13%–57% of the activity variance. The longitudinal stability of individual differences in attention and activity was largely accounted for by familial influences transmitted from previous ages. Innovations over adolescence were also partially attributable to familial influences. Studying the full range of variability in attention and activity may facilitate our understanding of attention-deficit/hyperactivity disorder's etiology and intervention.</jats:p

    Age-related changes and longitudinal stability of individual differences in ABCD Neurocognition measures

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    Temporal stability of individual differences is an important prerequisite for accurate tracking of prospective relationships between neurocognition and real-world behavioral outcomes such as substance abuse and psychopathology. Here we report age-related changes and longitudinal test-retest stability (TRS) for the Neurocognition battery of the Adolescent Brain and Cognitive Development (ABCD) study, which included the NIH Toolbox (TB) Cognitive Domain and additional memory and visuospatial processing tests administered at baseline (ages 9-11) and two-year follow-up. As expected, performance improved significantly with age, but the effect size varied broadly, with Pattern Comparison and the Crystallized Cognition Composite showing the largest age-related gain (Cohen\u27s d:.99 and.97, respectively). TRS ranged from fair (Flanker test: r = 0.44) to excellent (Crystallized Cognition Composite: r = 0.82). A comparison of longitudinal changes and cross-sectional age-related differences within baseline and follow-up assessments suggested that, for some measures, longitudinal changes may be confounded by practice effects and differences in task stimuli or procedure between baseline and follow-up. In conclusion, a subset of measures showed good stability of individual differences despite significant age-related changes, warranting their use as prospective predictors. However, caution is needed in the interpretation of observed longitudinal changes as indicators of neurocognitive development

    Pathways to post-traumatic stress disorder and alcohol dependence: Trauma, executive functioning, and family history of alcoholism in adolescents and young adults

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    INTRODUCTION: Family history (FH) of alcohol dependence is likely to increase the risk of trauma exposure, post-traumatic stress disorder (PTSD), and alcohol dependence. FH of alcohol dependence and trauma has been separately shown to adversely affect planning/problem-solving aspects of executive function. However, few studies have examined these risk factors in an integrated model. METHODS: Using data from trauma-exposed individuals from the Collaborative Study on the Genetics of Alcoholism prospective cohort (N = 1,860), comprising offspring from alcohol-dependent high-risk and comparison families (mean age [SE] = 21.9 [4.2]), we investigated associations of trauma (nonsexual assaultive, nonassaultive, sexual assaultive) with DSM-IV PTSD and alcohol dependence symptom counts, and planning/problem-solving abilities assessed using the Tower of London Test (TOLT). Moderating effects of family history density of alcohol use disorder (FHD) on these associations and sex differences were explored. RESULTS: Family history density was positively associated with PTSD in female participants who endorsed a sexual assaultive trauma. Exposure to nonsexual assaultive trauma was associated with more excess moves made on the TOLT. CONCLUSION: Findings from this study demonstrate associations with PTSD and alcohol dependence symptom counts, as well as poor problem-solving ability in trauma-exposed individuals from families densely affected with alcohol dependence, depending on trauma type, FHD, and sex. This suggests that having a FH of alcohol dependence and exposure to trauma during adolescence may be associated with more PTSD and alcohol dependence symptoms, and poor problem-solving abilities in adulthood

    О тСорСтичСских основах аэролимнологии: ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ прСсных Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠΎΠ² ΠΈ ΠΏΡ€ΠΈΠ±Ρ€Π΅ΠΆΠ½Ρ‹Ρ… Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉ с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½Ρ‹Ρ… робототСхничСских срСдств

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    Π˜Π½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΡ мСтодологичСского базиса Π½Π΅ΡΠΊΠΎΠ»ΡŒΠΊΠΈΡ… Ρ€Π°Π·Π½Ρ‹Ρ… Π½Π°ΡƒΠΊ ΠΏΡ€ΠΈ мСТдисциплинарных исслСдованиях являСтся Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½ΠΎΠΉ Ρ‡Π΅Ρ€Ρ‚ΠΎΠΉ Π½ΠΎΠ²Ρ‹Ρ… ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠΎΠ² Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ соврСмСнных ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½Ρ‹Ρ… Π·Π°Π΄Π°Ρ‡. Π€ΠΎΡ€ΠΌΠΈΡ€ΡƒΠ΅ΠΌΡ‹Π΅ тСорСтичСскиС основы аэролимнологии, ΠΊΠ°ΠΊ Π½ΠΎΠ²ΠΎΠ³ΠΎ Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ направлСния, Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ с Ρ‚ΠΎΡ‡ΠΊΠΈ зрСния Π²ΠΊΠ»Π°Π΄Π° Π² Π½Π΅Π΅ Ρ‚Ρ€Π΅Ρ… ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… Π½Π°ΡƒΠΊ: Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠΊΠΈ ΠΈ Ρ€ΠΎΠ±ΠΎΡ‚ΠΎΡ‚Π΅Ρ…Π½ΠΈΠΊΠΈ. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ классификации ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΠΈ способов лимнологичСских исслСдований, Π²ΠΎΠ·Π΄ΡƒΡˆΠ½Ρ‹Ρ… робототСхничСских срСдств, ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, пСрспСктивных для Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ‡ Π² области аэролимнологии. Π—Π°Π΄Π°Ρ‡Π° Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ направлСния аэролимнологии формулируСтся ΠΊΠ°ΠΊ ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ возмоТностСй ΠΈ ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΈΠΉ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… способов дистанционного сСнсорного измСрСния, Ρ€ΠΎΠ±ΠΎΡ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ±ΠΎΠΎΡ‚Π±ΠΎΡ€Π° ΠΈ аналитичСского исслСдования ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² экосистСм прСсных Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠΎΠ² для ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΈ прСдсказания Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈΡ… развития. Π‘Ρ€Π΅Π΄ΠΈ основных Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ аэролимнологичСских исслСдований Π²Ρ‹Π΄Π΅Π»Π΅Π½Ρ‹: построСниС ΠΎΡ€Ρ‚ΠΎΡ„ΠΎΡ‚ΠΎΠΏΠ»Π°Π½ΠΎΠ² ΠΈ фотограммСтричСских пространствСнных ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ€Π΅Π»ΡŒΠ΅Ρ„Π° Π΄Π½Π° ΠΈ ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… элСмСнтов Π΄ΠΎΠ½Π½ΠΎΠ³ΠΎ Π»Π°Π½Π΄ΡˆΠ°Ρ„Ρ‚Π° ΠΈ ΠΏΡ€ΠΈΠ±Ρ€Π΅ΠΆΠ½ΠΎΠΉ Π·ΠΎΠ½Ρ‹ Ρ€Π°Π·Π½ΠΎΠ³ΠΎ ΠΌΠ°ΡΡˆΡ‚Π°Π±Π°; Π³Π΅ΠΎΠ»ΠΎΠ³ΠΎ-гСофизичСскоС ΠΊΠ°Ρ€Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ΄Π²ΠΎΠ΄Π½ΠΎΠΉ части Π±Π΅Ρ€Π΅Π³ΠΎΠ²ΠΎΠΉ Π·ΠΎΠ½Ρ‹; ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Ρ„ΠΈΡ‚ΠΎΠΏΠ»Π°Π½ΠΊΡ‚ΠΎΠ½Π°, Π² частности «цвСтСния» Π²ΠΎΠ΄Ρ‹, Π²Ρ‹Π·Π²Π°Π½Π½ΠΎΠ³ΠΎ цианобактСриями; исслСдованиС распрСдСлСния ΠΈ ΠΌΠΈΠ³Ρ€Π°Ρ†ΠΈΠΉ ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… прСдставитСлСй Π³ΠΈΠ΄Ρ€ΠΎΡ„Π°ΡƒΠ½Ρ‹; ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π½Ρ‹Ρ… ΠΏΠΎΠ»Π΅ΠΉ ΠΈ процСссов пСрСраспрСдСлСния Π²ΠΎΠ΄Π½Ρ‹Ρ… масс. ΠžΠ±ΡΡƒΠΆΠ΄Π°ΡŽΡ‚ΡΡ ограничСния, Π½Π°ΠΊΠ»Π°Π΄Ρ‹Π²Π°Π΅ΠΌΡ‹Π΅ Π½Π° использованиС бСспилотных Π»Π΅Ρ‚Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² (БпЛА) ΠΏΡ€ΠΈ ΠΏΡ€ΠΎΠ±ΠΎΠΎΡ‚Π±ΠΎΡ€Π΅ ΠΈ ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π΅ ΠΏΡ€ΠΈΠ±Ρ€Π΅ΠΆΠ½Ρ‹Ρ… Π²ΠΎΠ΄Π½Ρ‹Ρ… Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉ, ΠΏΡ€Π΅ΠΆΠ΄Π΅ всСго ΠΏΠΎΠ³ΠΎΠ΄Π½ΠΎ-климатичСскиС, Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Π΅, пространствСнныС, тСхничСскиС. ΠŸΡ€Π΅ΠΈΠΌΡƒΡ‰Π΅ΡΡ‚Π²ΠΎ использования бСспилотных Π»Π΅Ρ‚Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² Π² аэролимнологии обосновываСтся ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ΠΌ скорости получСния Π΄Π°Π½Π½Ρ‹Ρ…, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒΡŽ ΠΏΠΎΠ΄Π»Π΅Ρ‚Π° ΠΊ труднодоступным ΠΈ Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠ°Π»ΡŒΠ½ΠΎ ΡƒΠ΄Π°Π»Π΅Π½Π½Ρ‹ΠΌ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°ΠΌ, сниТСниСм влияния чСловСчСского Ρ„Π°ΠΊΡ‚ΠΎΡ€Π°. Научная Π½ΠΎΠ²ΠΈΠ·Π½Π° прСдставлСнного исслСдования состоит Π² ΠΏΠΎΠΏΡ‹Ρ‚ΠΊΠ΅ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ мСТдисциплинарных Π·Π½Π°Π½ΠΈΠΉ ΠΏΡ€ΠΈ использовании бСспилотных Π»Π΅Ρ‚Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² ΠΈ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… Π½Π° основС Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ искусствСнного ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚Π° ΠΏΡ€ΠΈ ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠΈ лимнологичСских ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΈ процСссов. ΠžΡ‚ΠΌΠ΅Ρ‡Π°Π΅Ρ‚ΡΡ ваТная Ρ€ΠΎΠ»ΡŒ Π³Π΅ΠΎΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… систСм ΠΈ приводятся ΠΏΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ ΠΊΠ°Ρ€Ρ‚ Ρ‚ΠΈΠΏΠΈΠ·Π°Ρ†ΠΈΠΈ Π±Π΅Ρ€Π΅Π³ΠΎΠ² ΠΈ Π³Π΅ΠΎΠΌΠΎΡ€Ρ„ΠΎΠ»ΠΎΠ³ΠΈΠΈ ЛадоТского ΠΎΠ·Π΅Ρ€Π°, Ρ€Π°Π·ΠΌΠ΅Ρ‰Π΅Π½Π½Ρ‹Π΅ Π½Π° сайтС Π¦Π΅Π½Ρ‚Ρ€Π° ΠΊΠΎΠ»Π»Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ пользования Π½Π°ΡƒΡ‡Π½Ρ‹ΠΌ ΠΎΠ±ΠΎΡ€ΡƒΠ΄ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Β«Π‘Π΅Π²Π΅Ρ€ΠΎ-Π—Π°ΠΏΠ°Π΄Π½Ρ‹ΠΉ Ρ†Π΅Π½Ρ‚Ρ€ ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΈ прогнозирования развития Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉΒ» Π‘ΠŸΠ‘ ЀИЦ РАН. Π Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ основныС этапы ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ провСдСния аэролимнологичСских исслСдований с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ мСТдисциплинарных ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² Π½Π° основС Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠΊΠΈ ΠΈ робототСхничСских срСдств, Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… Π² Ρ€Π°Π·Π½Ρ‹Ρ… срСдах

    Predicting alcohol-related memory problems in older adults: A machine learning study with multi-domain features

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    Memory problems are common among older adults with a history of alcohol use disorder (AUD). Employing a machine learning framework, the current study investigates the use of multi-domain features to classify individuals with and without alcohol-induced memory problems. A group of 94 individuals (ages 50-81 years) with alcohol-induced memory problems (the memory group) were compared with a matched control group who did not have memory problems. The random forests model identified specific features from each domain that contributed to the classification of the memory group vs. the control group (AUC = 88.29%). Specifically, individuals from the memory group manifested a predominant pattern of hyperconnectivity across the default mode network regions except for some connections involving the anterior cingulate cortex, which were predominantly hypoconnected. Other significant contributing features were: (i) polygenic risk scores for AUD, (ii) alcohol consumption and related health consequences during the past five years, such as health problems, past negative experiences, withdrawal symptoms, and the largest number of drinks in a day during the past twelve months, and (iii) elevated neuroticism and increased harm avoidance, and fewer positive uplift life events. At the neural systems level, hyperconnectivity across the default mode network regions, including the connections across the hippocampal hub regions, in individuals with memory problems may indicate dysregulation in neural information processing. Overall, the study outlines the importance of utilizing multidomain features, consisting of resting-state brain connectivity data collected ~18 years ago, together with personality, life experiences, polygenic risk, and alcohol consumption and related consequences, to predict the alcohol-related memory problems that arise in later life
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