Addiction (Abingdon, England) · 2015
Craving and substance use among patients with alcohol, tobacco, cannabis or heroin addiction: a comparison of substance- and person-specific cues.
Сравнительное исследованиеСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Fatseas Melina, Serre Fuschia, Alexandre Jean-Marc, Debrabant Romain, Auriacombe Marc, Swendsen Joel
Аннотация
BACKGROUND AND AIMS: It is well established that craving increases following exposure to substance-related 'cues', but the role of life-styles or substance use habits that are unique to each person remains poorly understood. This study examines the association of substance-specific and personal cues with craving and substance use in daily life.
DESIGN: Ecological momentary assessment was used during a 2-week period.
SETTING: Data were collected in a French out-patient addiction treatment centre.
PARTICIPANTS: A total of 132 out-patients beginning treatment for alcohol, tobacco, cannabis or opiate addiction were included.
MEASUREMENTS: Using mobile technologies, participants were questioned four times per day relative to craving, substance use and exposure to either substance-specific cues (e.g. seeing a syringe) or personal cues unique to that individual (e.g. seeing the specific person with whom the substance is used).
FINDINGS: Craving intensity was associated with the number of concurrently assessed substance-specific cues (t = 4.418, P < 0.001) and person-specific cues (t = 4.006, P < 0.001) when analysed jointly within the same model. However, only person-specific cues were associated with increases in craving over subsequent hours of the day (t = 2.598, P < 0.05). Craving intensity, in turn, predicted increases in later substance use (t = 4.076, P < 0.001). Causal mediation analyses demonstrated that the association of cues with later substance use was mediated by craving intensity (mediated effect = 0.007, 95% confidence interval = 0.004-0.011).
CONCLUSIONS: Unique person-specific cues appear to have a robust effect on craving addictive substances, and the duration of this association may persist longer than for more general substance-specific cues. Mobile technologies provide new opportunities for understanding these person-specific risk factors and for providing individually tailored interventions.
DESIGN: Ecological momentary assessment was used during a 2-week period.
SETTING: Data were collected in a French out-patient addiction treatment centre.
PARTICIPANTS: A total of 132 out-patients beginning treatment for alcohol, tobacco, cannabis or opiate addiction were included.
MEASUREMENTS: Using mobile technologies, participants were questioned four times per day relative to craving, substance use and exposure to either substance-specific cues (e.g. seeing a syringe) or personal cues unique to that individual (e.g. seeing the specific person with whom the substance is used).
FINDINGS: Craving intensity was associated with the number of concurrently assessed substance-specific cues (t = 4.418, P < 0.001) and person-specific cues (t = 4.006, P < 0.001) when analysed jointly within the same model. However, only person-specific cues were associated with increases in craving over subsequent hours of the day (t = 2.598, P < 0.05). Craving intensity, in turn, predicted increases in later substance use (t = 4.076, P < 0.001). Causal mediation analyses demonstrated that the association of cues with later substance use was mediated by craving intensity (mediated effect = 0.007, 95% confidence interval = 0.004-0.011).
CONCLUSIONS: Unique person-specific cues appear to have a robust effect on craving addictive substances, and the duration of this association may persist longer than for more general substance-specific cues. Mobile technologies provide new opportunities for understanding these person-specific risk factors and for providing individually tailored interventions.