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1.
Alcohol Clin Exp Res ; 45(11): 2282-2293, 2021 11.
Article in English | MEDLINE | ID: mdl-34523737

ABSTRACT

BACKGROUND: Data from 2 generations of participants in the San Diego Prospective Study (SDPS) were used to compare cross-sectional and prospective relationships of 5 measures of the low level of response (low LR) to alcohol to 2 key alcohol-related outcomes. METHODS: The analyses used data from 373 SDPS male probands and 158 male and female offspring of these individuals to evaluate relationships of 5 LR measures to the prior 5-year maximum drinks per occasion and the number of 11 DSM-IV alcohol use disorder (AUD) criteria experienced. Probands' LR measures included responses to alcohol challenges administered 15 years previously, and ratings for both generations included measures of the number of standard drinks during four periods: the first five times of drinking (SRE-5), the prior three drinking months (SRE-3), the period of heaviest drinking (SRE-H), and a total average across all time frames (SRE-T). Analyses included zero-order correlations, correlations using covariates, and hierarchical multiple regression analyses. RESULTS: All 5 LR measures were correlated with aspects of maximum drinks and the number of AUD criteria, but the most robust results were seen for SRE-3 and maximum drinks. Correlations were less consistent for SRE-5, a measure more closely related to outcomes in the offspring. Hierarchical regression analyses supported most of these conclusions and showed that alcohol challenge-based LRs added significant information regarding maximum drinks even when evaluated with SRE values. The close correlation between SRE-H and SRE-T argues against the need for studies to include both measures. The patterns of results were similar irrespective of whether covariates were included. CONCLUSIONS: There were significant correlations of maximum drinks and the number of AUD criteria with findings from prior alcohol challenges and all SRE scores. Challenges and SRE reports are related but not identical LR measures. All SRE scores, including SRE-5, offered useful information regarding subsequent drinking behavior.


Subject(s)
Alcohol Drinking/psychology , Alcoholic Intoxication/psychology , Alcoholism/psychology , Self Disclosure , Adult , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Prospective Studies , Risk Factors , Self Report , Self-Assessment , Sex Factors , Surveys and Questionnaires , Young Adult
2.
J Neurosci ; 41(32): 6892-6904, 2021 08 11.
Article in English | MEDLINE | ID: mdl-34244363

ABSTRACT

Attributing outcomes to your own actions or to external causes is essential for appropriately learning which actions lead to reward and which actions do not. Our previous work showed that this type of credit assignment is best explained by a Bayesian reinforcement learning model which posits that beliefs about the causal structure of the environment modulate reward prediction errors (RPEs) during action value updating. In this study, we investigated the brain networks underlying reinforcement learning that are influenced by causal beliefs using functional magnetic resonance imaging while human participants (n = 31; 13 males, 18 females) completed a behavioral task that manipulated beliefs about causal structure. We found evidence that RPEs modulated by causal beliefs are represented in dorsal striatum, while standard (unmodulated) RPEs are represented in ventral striatum. Further analyses revealed that beliefs about causal structure are represented in anterior insula and inferior frontal gyrus. Finally, structural equation modeling revealed effective connectivity from anterior insula to dorsal striatum. Together, these results are consistent with a possible neural architecture in which causal beliefs in anterior insula are integrated with prediction error signals in dorsal striatum to update action values.SIGNIFICANCE STATEMENT Learning which actions lead to reward-a process known as reinforcement learning-is essential for survival. Inferring the causes of observed outcomes-a process known as causal inference-is crucial for appropriately assigning credit to one's own actions and restricting learning to effective action-outcome contingencies. Previous studies have linked reinforcement learning to the striatum, and causal inference to prefrontal regions, yet how these neural processes interact to guide adaptive behavior remains poorly understood. Here, we found evidence that causal beliefs represented in the prefrontal cortex modulate action value updating in posterior striatum, separately from the unmodulated action value update in ventral striatum posited by standard reinforcement learning models.


Subject(s)
Brain/physiology , Learning/physiology , Reinforcement, Psychology , Reward , Adolescent , Bayes Theorem , Brain Mapping/methods , Female , Humans , Magnetic Resonance Imaging/methods , Male , Nerve Net/physiology , Young Adult
3.
Drug Alcohol Depend ; 217: 108274, 2020 12 01.
Article in English | MEDLINE | ID: mdl-32956977

ABSTRACT

BACKGROUND: Denial of an overarching alcohol problem despite endorsement of specific alcohol-related difficulties may be central to development and continuation of alcohol use disorders (AUDs). However, there is limited information about which characteristics of drinkers and which drinking problems relate most closely to that denial. METHODS: Using data from two generations of the San Diego Prospective Study (SDPS), we compared AUD subjects who considered themselves non-problematic drinkers (Group 1) with those with AUDs who acknowledged a general alcohol problem (Group 2). Comparisons included demography, alcohol-related patterns and problems, drug use, as well as impulsivity and sensation seeking. Variables were first evaluated as univariate characteristics after which significant group differences were entered in logistic regression analyses. RESULTS: Sixty-seven percent of 94 AUD probands and 82 % of 176 AUD offspring reported themselves as light or moderate social drinkers despite averages of up to 12 maximum drinks per occasion and four DSM problems. Regression analyses indicated deniers evidenced less intense alcohol and drug-related problems and identified DSM-IV criterion items that they were most likely to deny. CONCLUSIONS: A large majority of two generations of SDPS participants whose interviews indicated a current AUD did not characterize themselves as problem drinkers. Despite drinking amounts that far exceeded healthy limits and admitting to important life problems with alcohol, these individuals give misleading answers regarding their condition when asked general questions about drinking by health care deliverers. The authors offer suggestions regarding how to identify those drinkers in need of advice regarding dangers of their behaviors.


Subject(s)
Alcohol-Related Disorders/diagnosis , Alcohol-Related Disorders/psychology , Child of Impaired Parents/psychology , Denial, Psychological , Adolescent , Adult , Alcohol Drinking/epidemiology , Alcohol Drinking/psychology , Alcohol Drinking/trends , Alcohol-Related Disorders/epidemiology , Alcoholism/epidemiology , Alcoholism/psychology , Diagnostic and Statistical Manual of Mental Disorders , Female , Follow-Up Studies , Humans , Impulsive Behavior/physiology , Longitudinal Studies , Male , Middle Aged , Prospective Studies , Young Adult
4.
Alcohol Clin Exp Res ; 44(8): 1551-1560, 2020 08.
Article in English | MEDLINE | ID: mdl-32583872

ABSTRACT

BACKGROUND: The most efficient approach for establishing family histories (FHs) asks informants about disorders in their relatives (a Family History Method [FHM]). However, FHMs underestimate family diagnoses. We evaluated if accuracies of young adult offspring report of their father's alcohol use disorders (AUDs) related to the age, sex, education, and/or substance-related patterns/problems of either the young adult informants or their AUD fathers. METHODS: Data from the San Diego Prospective Study (SDPS), a multigenerational 35-year investigation, compared father/offspring pairs where the proband father's alcohol problems were correctly (Group 1) or incorrectly (Group 2) noted by offspring. In the key analysis, Group 1 versus 2 results were entered into bootstrapped backward logistic regression analyses predicting Group 1 membership. RESULTS: Five proband and one offspring characteristic were associated with correct identification of their father's alcohol problems. None of these related to age, education, or sex. Characteristics associated with correct FHM diagnoses included the father's FH of AUDs, self-report of drinking despite social/interpersonal or physical/psychological alcohol-related problems, spending much time related to alcohol, and his having a religious preference. The single offspring item predicting correct identification of the father's problems was the number of DSM alcohol problems of the offspring. CONCLUSIONS: In the SDPS, FHM sensitivity was most closely related to the father's drinking characteristics, not the offspring characteristics. While unique aspects of SDPS families potentially limit generalizability of results, the data demonstrate how the FHM can offer important initial steps in the search for genetically related AUD risks in a subset of families.


Subject(s)
Alcoholism , Child of Impaired Parents , Fathers , Medical History Taking , Self Report , Adult , Age Factors , Educational Status , Female , Humans , Logistic Models , Longitudinal Studies , Male , Middle Aged , Prospective Studies , Sex Factors , Young Adult
5.
Alcohol Clin Exp Res ; 43(10): 2232-2241, 2019 10.
Article in English | MEDLINE | ID: mdl-31454095

ABSTRACT

BACKGROUND: The 35-year-long San Diego Prospective Study documented 2-fold increases in alcohol problems and alcohol use disorders (AUDs) in young-adult drinking offspring compared to rates in their fathers, the original probands. The current analyses use the same interviews and questionnaires at about the same age in members of the 2 generations to explore multiple potential contributors to the generational differences in adverse alcohol outcomes. METHODS: Using data from recent offspring interviews, multiple cross-generation differences in characteristics potentially related to alcohol problems were evaluated in 3 steps: first through direct comparisons across probands and offspring at about age 30; second by backward linear regression analyses of predictors of alcohol problems within each generation; and finally third through R-based bootstrapped linear regressions of differences in alcohol problems in randomly matched probands and offspring. RESULTS: The analyses across the analytical approaches revealed 3 consistent predictors of higher alcohol problems in the second generation. These included the following: (i) a more robust relationship to alcohol problems for offspring with a low level of response to alcohol; (ii) higher offspring values for alcohol expectancies; and (iii) higher offspring impulsivity. CONCLUSIONS: The availability of data across generations offered a unique perspective for studying characteristics that may have contributed to a general finding in the literature of substantial increases in alcohol problems and AUDs in recent generations. If replicated, these results could suggest approaches to be used by parents, healthcare workers, insurance companies, and industry in their efforts to mitigate the increasing rates of alcohol problems in younger generations.


Subject(s)
Alcoholism/epidemiology , Adolescent , Adult , Alcohol Drinking , Alcoholism/genetics , California/epidemiology , Central Nervous System Depressants/pharmacology , Ethanol/pharmacology , Family Characteristics , Female , Humans , Impulsive Behavior , Longitudinal Studies , Male , Motivation , Prospective Studies , Young Adult
6.
Alcohol Clin Exp Res ; 43(7): 1384-1390, 2019 07.
Article in English | MEDLINE | ID: mdl-30933364

ABSTRACT

BACKGROUND: Low level of responses (low LRs) to alcohol established using the Self-Report of the Effects of Alcohol (SRE) questionnaire are genetically influenced phenotypes related to heavy drinking and alcohol problems. To date, most studies using SREs focused on scores for the number of drinks needed for effects across the first 5 times of drinking (SRE-5), and few evaluated scores that also included the prior 3 months and heaviest drinking periods (SRE-T). This paper evaluates characteristics of SRE-5 and SRE-T within and across generations. METHODS: Data were extracted from 407 participants across 2 generations of 107 families in the San Diego Prospective Study (SDPS). Pearson's product-moment correlations for SRE-5 and SRE-T were determined across first-degree relatives both within and across generations and sexes, as well as correlations of each measure to maximum drinking quantities and alcohol problems. RESULTS: Responding to 4 hypotheses, first the analyses demonstrated significant within-generation positive correlations for both SRE measures across brother-brother and sister-sister pairs as well as cross-generation correlations for fathers and sons, although correlations for mothers and daughters were not robust. Second, both SRE-5 and SRE-T correlated with maximum drinks and alcohol problems for both sexes and both generations. Third, within parental and offspring generations SRE-T correlated more robustly than SRE-5 to maximum drinks and alcohol problems. Fourth, across generations SRE values for sons were more closely related to drinking quantities and problems than for their fathers, but the mother-daughter SRE relationships to adverse alcohol characteristics were not different. CONCLUSIONS: Both the SRE-5 and SRE-T offered useful information about propensities toward heavier drinking and alcohol problems in SDPS families. Correlations with adverse alcohol outcomes were greater for the more broad-based SRE-T, but both scores appeared to be genetically influenced and continue to operate in a robust manner in both generations of these families.


Subject(s)
Alcohol Drinking/psychology , Self Report , Surveys and Questionnaires , Adolescent , Adult , Age Factors , Aged , Alcoholism/diagnosis , Alcoholism/psychology , Fathers , Female , Humans , Male , Middle Aged , Mothers , Prospective Studies , Reproducibility of Results , Sex Factors , Siblings , Young Adult
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