33 research outputs found

    The combined effects of parental divorce and parental history of depression on cannabis use in young adults in France.

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    International audienceBACKGROUND: 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. METHODS: 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 12 months. Data were analyzed using multiple logistic regression models controlling for young adult and parental socio-demographic variables. RESULTS: 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). CONCLUSION: Our findings highlight the critical importance of considering familial context in understanding cannabis use in young adults

    E-Mental Health Care Among Young Adults and Help-Seeking Behaviors: A Transversal Study in a Community Sample

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    International audienceBackground: The Internet is widely used by young people and could serve to improve insufficient access to mental health care. Previous information on this topic comes from selected samples (students or self-selected individuals) and is incomplete.Objective: In a community sample of young adults, we aimed to describe frequency of e-mental health care study-associated factors and to determine if e-mental health care was associated with the use of conventional services for mental health care.Methods: Using data from the 2011 wave of the TEMPO cohort study of French young adults (N=1214, aged 18-37 years), we examined e-mental health care and associated factors following Andersen’s behavioral model: predisposing factors (age, sex, educational attainment, professional activity, living with a partner, children, childhood negative events, chronic somatic disease, parental history of depression), enabling factors (social support, financial difficulties, parents’ income), and needs-related factors (lifetime major depression or anxiety disorders, suicidal ideation, ADHD, cannabis use). We compared traditional service use (seeking help from a general practitioner, a psychiatrist, a psychologist; antidepressant or anxiolytics/hypnotics use) between participants who used e-mental health care versus those who did not.Results: Overall, 8.65% (105/1214) of participants reported seeking e-mental health care in case of psychological difficulties in the preceding 12 months and 15.7% (104/664) reported psychological difficulties. Controlling for all covariates, the likelihood of e-mental health care was positively associated with 2 needs-related factors, lifetime major depression or anxiety disorder (OR 2.36, 95% CI 1.36-4.09) and lifetime suicidal ideation (OR 1.91, 95% CI 1.40-2.60), and negatively associated with a predisposing factor: childhood life events (OR 0.60, 95% CI 0.38-0.93). E-mental health care did not hinder traditional care, but was associated with face-to-face psychotherapy (66.2%, 51/77 vs 52.4%, 186/355, P=.03).Conclusions: E-mental health care represents an important form of help-seeking behavior for young adults. Professionals and policy makers should take note of this and aim to improve the quality of online information on mental health care and to use this fact in clinical care

    Tobacco, alcohol, cannabis and other illegal drug use among young adults: the socioeconomic context.

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    International audienceBACKGROUND: Low socioeconomic position predicts risk of substance abuse, yet few studies tested the role of preexisting familial and individual characteristics. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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

    Unemployment and Substance Use in Young Adults: Does Educational Attainment Modify the Association?

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    International audienceWe studied whether patterns of substance use in relation to unemployment vary depending on educational level. Data come from 1,126 community-based young adults in France (18-35 years of age in 2011) and their parents (TEMPO and GAZEL studies). Tobacco use (≥1 cigarette/day, 22.5% prevalence), nicotine dependence (Fagerström test ≥2, 7.1% prevalence), alcohol use (≥2 units/week, 25.3% prevalence), alcohol abuse (WHO AUDIT ≥7 in women and ≥8 in men, 10.8% prevalence), cannabis use (≥1 time, 16.5% prevalence), and cannabis abuse (CAST ≥2, 5.0% prevalence) were assessed by interview. We conducted logistic regression analyses controlled for inverse probability weights of unemployment, calculated based on demographics, negative life events, health, and juvenile and parental characteristics. Compared to participants who were always employed, those who were unemployed and had no higher education were more likely to smoke tobacco (OR: 2.76, 95% CI: 1.86-4.10), to be nicotine dependent (OR: 5.70, 95% CI: 3.03-10.73), to use cannabis (OR: 2.27, 95% CI: 1.42-3.64), and to abuse cannabis (OR: 3.38, 95% CI: 1.63-7.04). Those who were unemployed and had higher education were especially likely to abuse alcohol (OR: 1.89, 95% CI: 1.16-3.09). Increases in unemployment may impact population levels of substance use, particularly in young adults with low educational attainment

    Lifecourse SEP and tobacco and cannabis use.: Lifecourse socioeconomic position and substance use

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    International audienceBACKGROUND: 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

    Internet and Video Game Use in Relation to Overweight in Young Adults.: Video games use and overweight

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    International audienceAbstract Purpose . To examine the relationship between interactive media use (Internet and video games) and overweight risk in young adults. Design . Prospective cohort study. Setting . France (TEMPO study). Subjects . Community sample of 674 young adults aged 22 to 35 in 2009 (response rate to the original mail out: 44.3%). Measures . Data were collected through mail-based questionnaires from study participants in 1999 (juvenile overweight, juvenile TV use) and 2009 (overweight, Internet and video game use, regular physical activity), and from their parents who participated in the GAZEL study from 1989 to 2009 (parental overweight). Analysis . Logistic regression. Results . Participants who engaged in regular video game use (>1 time/wk) were more likely to be overweight than those who did not (odds ratio [OR] 2.20, 95% confidence interval [CI] 1.42-3.42). Adjusting for sex, regular athletic activity, juvenile overweight, juvenile TV use, and parental overweight, the OR associated with video game use decreased but remained statistically significant (OR 1.94, 95% CI 1.15-3.28). We found no significant association between Internet use and overweight. Conclusion . Video game use may be a relevant target for interventions aiming to decrease the burden of overweight and associated consequences in young adults

    What distinguishes successful from unsuccessful tobacco smoking cessation? Data from a study of young adults (TEMPO)

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    International audienceIntroduction : Smoking prevalence rates among young people are high in many countries. Although attempts to quit smoking increasingly occur in young adulthood, many former smokers relapse. We compared individuals who successfully quit smoking from those who relapsed on socio-demographic, psychological and health factors.Methods : Data come from telephone interviews conducted in 2011 with participants of the TEMPO community-based study (ages 18-37 years, France). To study the likelihood of successful cessation vs. smoking relapse, we restricted the study sample to current or former smokers (n=600) and conducted multinomial logistic regression analyses.Results : 43% of participants were current smokers who never quit for an extended period and, 33% former smokers and 24% current smokers who relapsed after extended cessation. In multivariate analyses female sex, parental status and illegal drug use were associated with both successful and unsuccessful smoking cessation. Factors specifically associated with a low probability of smoking cessation were job strain and symptoms of hyperactivity/inattention, while occupational grade was associated with smoking relapse.Conclusions : Work and family circumstances, co-occurring substance use and psychological difficulties may influence smoking cessation in young adults. These characteristics should be considered by individual and collective interventions aiming to help young smokers quit successfully
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