Aude Chollet

Université de Versailles Saint-Quentin, Versailles, Ile-de-France, France

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Publications (4)13.69 Total impact

  • Article: Prior sleep problems predict internalising problems later in life.
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    ABSTRACT: BACKGROUND: One possible risk marker of later internalising symptoms is poor sleep, which is a problem for up to 40% of children. The present study investigated whether prior sleep problems could predict internalising symptoms over a period of 18 years of follow-up. METHODS: The study sample included 1503 French young adults from the TEMPO cohort (mean age=28.8±3.6 years) whose parents participate in the GAZEL cohort study. All TEMPO participants previously took part in a study of children's mental health and behaviour in 1991 (mean age=10.3±3.6 years) and 1999 (mean age=18.8±3.6 years). Sleep problems and internalising symptoms (depression, anxiety, somatic complaints) were assessed three times (1991, 1999, 2009) using the Achenbach System of Empirically Based Assessment (ASEBA) questionnaire. The association between sleep problems in 1991 and trajectories of internalising problems from 1991 to 2009 was tested in a multinomial logistic regression framework, controlling for sex, age, baseline temperament, behavioural problems and stressful life events, as well as family income, and parental history of depression. RESULTS: We identified four trajectories of internalising symptoms: high-persistent (2.5%), high-decreasing (11.4%), low-increasing (11.6%), and low-persistent (74.5%). After controlling for covariates, compared to participants who did not have sleep problems in 1991, those who did were 4.51 times (95% CI=1.54-13.19, P=.006) more likely to have high-persistent internalising symptoms and 3.69 times (95% CI=2.00-6.82, P<.001) more likely to have high-decreasing internalising symptoms over the 18-year follow-up. LIMITATIONS: Sleep problems and internalising symptoms were based on self-report questions, results should be interpreted with due caution. CONCLUSIONS: Sleep problems early in life are associated with an increased likelihood of internalising symptoms that persist from childhood to adulthood.
    Journal of affective disorders 07/2012; · 3.76 Impact Factor
  • Article: The combined effects of parental divorce and parental history of depression on cannabis use in young adults in France.
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    ABSTRACT: The joint effects of multiple social risk factors on substance use, such as parental divorce and parental history of depression, have rarely been studied in young adult offspring. We examined the combined effects of parental divorce and parental history of depression on current cannabis use among a community sample of young adults in France. Parental divorce was ascertained as divorce or separation before 2009. Parental history of depression based on parental reports of depression (1989-2009) and offspring reports of parental lifetime history of depression. Current cannabis use was defined as use at least once in the preceding 12months. Data were analyzed using multiple logistic regression models controlling for young adult and parental socio-demographic variables. Approximately one fourth of youth (23%) reported consuming cannabis at least once in the past year. At the same time, 15% had parents who were divorced and 30% parents with a history of depression. The association between parental divorce and cannabis use in young adults was not statistically significant (adjusted OR: 1.50; 95% CI: 0.97-2.31). History of parental depression conferred a marginally statistically significant 42% higher odds of young adult cannabis use (adjusted OR: 1.42; 95% CI: 1.00-2.01). Young adults who experienced both parental history of divorce and depression were more than two times as likely to be current cannabis users compared to those who experienced neither of these (adjusted OR: 2.38; 95% CI: 1.26-4.48). Our findings highlight the critical importance of considering familial context in understanding cannabis use in young adults.
    Drug and alcohol dependence 06/2012; 126(1-2):195-9. · 3.60 Impact Factor
  • Article: Lifecourse SEP and tobacco and cannabis use.
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    ABSTRACT: BACKGROUND: Social inequalities in substance use have been well-documented; however, the impact of changes in socio-economic position from childhood to adulthood is unclear. We examined the relationship between intergenerational trajectories of social position and tobacco and cannabis use among young adults. METHODS: Data come from 1103 participants (mean age: 28.9 years) of the Trajectoires Epidémiologiques en Population (TEMPO) study and their parents, participants of the GAZEL study, France. Multinomial regression analyses were used to examine associations between lifecourse socio-economic position (SEP) assessed using the parent's reports of family income (1989 and 2002) and the participant's educational attainment, occupational grade and job stability in 2009, with self-reported tobacco and cannabis use in 2009. RESULTS: Compared with participants with stable intermediate/high SEP, those with stable low SEP and those with declining SEP were more likely to use tobacco (age- and sex-adjusted ORs = 2.03 and 2.26). Participants who experienced declining SEP were also disproportionately likely to use and abuse cannabis (adjusted ORs = 2.22 and 2.73). Associations remained significant after adjusting for family (parental smoking, alcohol use, ill health, unemployment, depression and divorce) and individual (early tobacco and cannabis use, academic difficulties, juvenile internalizing and externalizing problems) risk factors. CONCLUSIONS: Cross-sectional studies indicate social inequalities in substance use. Our longitudinal findings suggest that individuals who experienced declining SEP from childhood to adulthood may be twice as likely to use tobacco and cannabis compared with individuals with a stable/high trajectory. Interventions targeting substance abuse should take into account lifecourse determinants including the interplay between individuals' socio-economic origins and later attainment.
    The European Journal of Public Health 05/2012; · 2.73 Impact Factor
  • Article: Tobacco, alcohol, cannabis and other illegal drug use among young adults: the socioeconomic context.
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    ABSTRACT: Low socioeconomic position predicts risk of substance abuse, yet few studies tested the role of preexisting familial and individual characteristics. Data come from the TEMPO (Trajectoires Epidémiologiques en Population) study (community sample in France, 1991-2009, n=1103, 22-35 years in 2009) set up among offspring of participants of an epidemiological study (GAZEL). Past 12-month substance use was assessed in 2009 by self-completed mail survey: regular tobacco smoking, alcohol abuse (AUDIT), cannabis use, problematic cannabis use (CAST), other illegal drug use. Socioeconomic position was defined by educational attainment, occupational grade, employment stability and unemployment. Covariates included demographics (age, sex, relationship status, parenthood), family background (parental income, parental tobacco smoking, parental alcohol use), and juvenile characteristics (psychological problems, academic difficulties) measured longitudinally. 35.8% of study participants were regular smokers, 14.3% abused alcohol, 22.6% used cannabis (6.3% had problematic cannabis use) and 4.1% used other illegal drugs. Except for alcohol abuse, substance use rates were systematically higher in individuals with low, rather than intermediate/high, socioeconomic position (age and sex-adjusted ORs from 1.75 for cannabis use to 2.11 for tobacco smoking and 2.44 for problematic cannabis use). In multivariate analyses these socioeconomic disparities were decreased, but remained statistically significant (except for illegal drugs other than cannabis). Tobacco smoking, alcohol, cannabis and polysubstance use are common behaviors among young adults, particularly those experiencing socioeconomic disadvantage. Interventions aiming to decrease substance abuse and reduce socioeconomic inequalities in this area should be implemented early in life.
    Drug and alcohol dependence 09/2011; 121(3):231-9. · 3.60 Impact Factor