Assessment of automated craving across substances and across cultures: stability-analysis of the Craving Automated Scale (CAS)

Systematic review of patient contribution to the development of alcohol craving measurements

Craving is considered one of the defining characteristics for alcohol or substance use disorders. There is no consensus on the underlying processes of craving, although multiple models exist. Craving is a very individualistic symptom and has to be self-reported. Several instruments have been developed to measure craving, without a recognized gold standard. The patient's perspective appears critical to determine the relevance of the numerous existing tools. We assessed the contribution of patients to the development of these instruments. We performed a systematic review of instruments measuring alcohol craving published from 2012 to 2023 from three databases (PubMed, PsycInfo, and Embase) in addition to those identified in a previous review by Kavanagh et al. from 1990 to 2012. We included all articles related to the development or validation of instruments for the assessment of alcohol craving. We identified and included in this review the corresponding instruments. Articles translating existing instruments without validation or on single-item instruments were excluded. We analyzed the articles in accordance with COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) recommendations to assess patient involvement in the creation of patient-reported outcome measures (PROM). Two key aspects were investigated: (1) the general design, encompassing the quality of construct description, identification of elements pertinent to a PROM, particularly the inclusion of concepts provided by patients, and (2) the quality of cognitive interviews (when conducted), to evaluate the comprehensiveness and comprehensibility of the PROM. We included 22 articles identifying 16 instruments for measuring alcohol craving. Patients only contributed to item development for one instrument and its short version (QAU and AUQ). None of the instruments met all of the developmental quality criteria, with 14 classed as "inadequate" and two as "doubtful." The current instruments measuring alcohol craving were developed with poor patient contribution, although most articles did not adequately report patient involvement. Patients' perspectives on craving should be explored for future patient-centered approach.

Imagine chocolate: The craving experience questionnaire in the food domain

Measurement of food craving has gained relevance in the current obesity epidemic. The Craving Experience Questionnaire (CEQ) considers not only craving intensity but also cognitive intrusiveness and imagery vividness as separate craving factors and could thus refine food craving assessment. It is available in two versions with ten items each. The CEQ-F assesses craving frequency across specific time periods and the CEQ-S time-point specific craving strength. Across three independent studies, N = 533 participants completed the German chocolate CEQ-F referenced at the past year to operationalise trait-like craving. Among them, N = 402 also completed the German chocolate CEQ-S referenced at the current moment to operationalise state-like craving. Four-week test-retest reliability was measured. For external validity, we assessed self-reported chocolate consumption, body-mass-index, trait approach motivation, general imagery vividness, and the most widely used food craving questionnaire, namely the Food Cravings Questionnaires in a trait (FCQ-T-r) and state version (FCQ-S), as well as behavioural approach bias (reaction time-based measurement). The three-factor structure was replicated with excellent internal consistency for both CEQ-F and CEQ-S. Test-retest reliability was moderate for both CEQ versions. CEQ-F scores were related to higher levels of chocolate consumption, approach motivation, and FCQ-T-r scores, but not to body-mass-index, imagery vividness, or approach bias. CEQ-S scores were associated with FCQ-S scores and partly with approach bias, but not with approach motivation and imagery vividness. The current results support the factor structure, validity and reliability of the German chocolate CEQ-S and CEQ-F with questions remaining regarding the ability of the CEQ-S to measure state craving. Thus, CEQ-F and CEQ-S usefully contribute to food craving assessment.

The Role of Unawareness, Volition, and Neural Hyperconnectivity in Alcohol Use Disorder: A Functional Magnetic Resonance Imaging Study

BACKGROUND

Automated alcohol craving and habitual alcohol consumption characterize the later stages of alcohol use disorder (AUD). This study reanalyzed previously collected functional neuroimaging data in combination with the Craving Automated Scale for Alcohol (CAS-A) questionnaire to investigate the neural correlates and brain networks underlying automated drinking characterized by unawareness and nonvolition.

METHODS

We assessed 49 abstinent male patients with AUD and 36 male healthy control participants during a functional magnetic resonance imaging-based alcohol cue-reactivity task. We performed whole-brain analyses examining the associations between CAS-A scores and other clinical instruments and neural activation patterns in the alcohol versus neutral contrast. Furthermore, we performed psychophysiological interaction analyses to assess the functional connectivity between predefined seed regions and other brain areas.

RESULTS

In patients with AUD, higher CAS-A scores correlated with greater activation in dorsal striatal, pallidal, and prefrontal regions, including frontal white matter, and with lower activation in visual and motor processing regions. Between-group psychophysiological interaction analyses showed extensive connectivity between the seed regions inferior frontal gyrus and angular gyrus and several frontal, parietal, and temporal brain regions in AUD versus healthy control participants.

CONCLUSIONS

The present study applied a new lens to previously acquired alcohol cue-reactivity functional magnetic resonance imaging data by correlating neural activation patterns with clinical CAS-A scores to elucidate potential neural correlates of automated alcohol craving and habitual alcohol consumption. Our results support previous findings showing that alcohol addiction is associated with hyperactivation in habit-processing regions, with hypoactivation in areas mediating motor and attention processing, and with general hyperconnectivity.