114 research outputs found
The development of temperament and character during adolescence: The processes and phases of change
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
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
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
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%β73% (attention) and 31%β73% (activity) of the total variance, and shared environmental influences accounted for 0%β22% of the attention variance and 13%β57% 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
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
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
Π ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΠΎΡΠ½ΠΎΠ²Π°Ρ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ: ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ΅ΡΠ½ΡΡ Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠΎΠ² ΠΈ ΠΏΡΠΈΠ±ΡΠ΅ΠΆΠ½ΡΡ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π²ΠΎΠ·Π΄ΡΡΠ½ΡΡ ΡΠΎΠ±ΠΎΡΠΎΡΠ΅Ρ Π½ΠΈΡΠ΅ΡΠΊΠΈΡ ΡΡΠ΅Π΄ΡΡΠ²
ΠΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±Π°Π·ΠΈΡΠ° Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΡΠ°Π·Π½ΡΡ
Π½Π°ΡΠΊ ΠΏΡΠΈ ΠΌΠ΅ΠΆΠ΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π°ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
ΡΠ²Π»ΡΠ΅ΡΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΡΠ΅ΡΡΠΎΠΉ Π½ΠΎΠ²ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
Π·Π°Π΄Π°Ρ. Π€ΠΎΡΠΌΠΈΡΡΠ΅ΠΌΡΠ΅ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Ρ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΊΠ°ΠΊ Π½ΠΎΠ²ΠΎΠ³ΠΎ Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ, ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ Ρ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ Π²ΠΊΠ»Π°Π΄Π° Π² Π½Π΅Π΅ ΡΡΠ΅Ρ
ΠΊΠ»ΡΡΠ΅Π²ΡΡ
Π½Π°ΡΠΊ: Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΊΠΈ ΠΈ ΡΠΎΠ±ΠΎΡΠΎΡΠ΅Ρ
Π½ΠΈΠΊΠΈ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈ ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, Π²ΠΎΠ·Π΄ΡΡΠ½ΡΡ
ΡΠΎΠ±ΠΎΡΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ΅Π΄ΡΡΠ², ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ Π² ΠΎΠ±Π»Π°ΡΡΠΈ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ. ΠΠ°Π΄Π°ΡΠ° Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠΎΡΠΌΡΠ»ΠΈΡΡΠ΅ΡΡΡ ΠΊΠ°ΠΊ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΈ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠΉ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² Π΄ΠΈΡΡΠ°Π½ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠ΅Π½ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ, ΡΠΎΠ±ΠΎΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ±ΠΎΠΎΡΠ±ΠΎΡΠ° ΠΈ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΊΠΎΡΠΈΡΡΠ΅ΠΌ ΠΏΡΠ΅ΡΠ½ΡΡ
Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠΎΠ² Π΄Π»Ρ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΈ ΠΏΡΠ΅Π΄ΡΠΊΠ°Π·Π°Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈΡ
ΡΠ°Π·Π²ΠΈΡΠΈΡ. Π‘ΡΠ΅Π΄ΠΈ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π²ΡΠ΄Π΅Π»Π΅Π½Ρ: ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΎΡΡΠΎΡΠΎΡΠΎΠΏΠ»Π°Π½ΠΎΠ² ΠΈ ΡΠΎΡΠΎΠ³ΡΠ°ΠΌΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠ΅Π»ΡΠ΅ΡΠ° Π΄Π½Π° ΠΈ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² Π΄ΠΎΠ½Π½ΠΎΠ³ΠΎ Π»Π°Π½Π΄ΡΠ°ΡΡΠ° ΠΈ ΠΏΡΠΈΠ±ΡΠ΅ΠΆΠ½ΠΎΠΉ Π·ΠΎΠ½Ρ ΡΠ°Π·Π½ΠΎΠ³ΠΎ ΠΌΠ°ΡΡΡΠ°Π±Π°; Π³Π΅ΠΎΠ»ΠΎΠ³ΠΎ-Π³Π΅ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΊΠ°ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ΄Π²ΠΎΠ΄Π½ΠΎΠΉ ΡΠ°ΡΡΠΈ Π±Π΅ΡΠ΅Π³ΠΎΠ²ΠΎΠΉ Π·ΠΎΠ½Ρ; ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΈΡΠΎΠΏΠ»Π°Π½ΠΊΡΠΎΠ½Π°, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ Β«ΡΠ²Π΅ΡΠ΅Π½ΠΈΡΒ» Π²ΠΎΠ΄Ρ, Π²ΡΠ·Π²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠΈΠ°Π½ΠΎΠ±Π°ΠΊΡΠ΅ΡΠΈΡΠΌΠΈ; ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΈ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΉ ΠΊΡΡΠΏΠ½ΡΡ
ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»Π΅ΠΉ Π³ΠΈΠ΄ΡΠΎΡΠ°ΡΠ½Ρ; ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΡΡ
ΠΏΠΎΠ»Π΅ΠΉ ΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΏΠ΅ΡΠ΅ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π²ΠΎΠ΄Π½ΡΡ
ΠΌΠ°ΡΡ. ΠΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ, Π½Π°ΠΊΠ»Π°Π΄ΡΠ²Π°Π΅ΠΌΡΠ΅ Π½Π° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
Π»Π΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² (ΠΠΏΠΠ) ΠΏΡΠΈ ΠΏΡΠΎΠ±ΠΎΠΎΡΠ±ΠΎΡΠ΅ ΠΈ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π΅ ΠΏΡΠΈΠ±ΡΠ΅ΠΆΠ½ΡΡ
Π²ΠΎΠ΄Π½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ, ΠΏΡΠ΅ΠΆΠ΄Π΅ Π²ΡΠ΅Π³ΠΎ ΠΏΠΎΠ³ΠΎΠ΄Π½ΠΎ-ΠΊΠ»ΠΈΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅, Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅, ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΠ΅, ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅. ΠΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
Π»Π΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² Π² Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π΅ΡΡΡ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΡ ΠΏΠΎΠ΄Π»Π΅ΡΠ° ΠΊ ΡΡΡΠ΄Π½ΠΎΠ΄ΠΎΡΡΡΠΏΠ½ΡΠΌ ΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ ΡΠ΄Π°Π»Π΅Π½Π½ΡΠΌ ΠΎΠ±ΡΠ΅ΠΊΡΠ°ΠΌ, ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ°. ΠΠ°ΡΡΠ½Π°Ρ Π½ΠΎΠ²ΠΈΠ·Π½Π° ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠΎΠΈΡ Π² ΠΏΠΎΠΏΡΡΠΊΠ΅ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΠΌΠ΅ΠΆΠ΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π°ΡΠ½ΡΡ
Π·Π½Π°Π½ΠΈΠΉ ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
Π»Π΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² ΠΈ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ° ΠΏΡΠΈ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ². ΠΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ Π²Π°ΠΆΠ½Π°Ρ ΡΠΎΠ»Ρ Π³Π΅ΠΎΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΈ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΊΠ°ΡΡ ΡΠΈΠΏΠΈΠ·Π°ΡΠΈΠΈ Π±Π΅ΡΠ΅Π³ΠΎΠ² ΠΈ Π³Π΅ΠΎΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΠ°Π΄ΠΎΠΆΡΠΊΠΎΠ³ΠΎ ΠΎΠ·Π΅ΡΠ°, ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½Π½ΡΠ΅ Π½Π° ΡΠ°ΠΉΡΠ΅ Π¦Π΅Π½ΡΡΠ° ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΡΡΠ½ΡΠΌ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Β«Π‘Π΅Π²Π΅ΡΠΎ-ΠΠ°ΠΏΠ°Π΄Π½ΡΠΉ ΡΠ΅Π½ΡΡ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉΒ» Π‘ΠΠ Π€ΠΠ¦ Π ΠΠ. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΡΠ°ΠΏΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π°ΡΡΠΎΠ»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΌΠ΅ΠΆΠ΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π°ΡΠ½ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π»ΠΈΠΌΠ½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΊΠΈ ΠΈ ΡΠΎΠ±ΠΎΡΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ΅Π΄ΡΡΠ², ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΡΡΡΠΈΡ
Π² ΡΠ°Π·Π½ΡΡ
ΡΡΠ΅Π΄Π°Ρ
Predicting alcohol-related memory problems in older adults: A machine learning study with multi-domain features
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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