Compulsive buying behavior of Smartphones by university students.

BACKGROUND: Few studies have analyzed compulsive buying behavior in relation to a specific product. Smartphones are hugely popular products today, especially among young people. These two aspects have motivated this research into the compulsive buying behavior of Smartphones by university students. METHODS: To study this behavior, the main features that differentiate compulsive buyers from those that are not are analyzed, and their risk profiles are obtained through a discrete choice model. RESULTS: Sociodemographic features that define buyers with the greatest propensity to compulsiveness are younger age, longer time spent daily using social networks, higher spending on the acquisition of Smartphones and having owned a greater number of these devices. These buyers also show shopping addiction and greater feelings of guilt after the purchase as well as more positive and negative affective states when purchasing Smartphones. CONCLUSIONS: This analysis not only determines the characteristics that define young individuals with a tendency toward compulsiveness in Smartphone purchases, but also contributes to quantifying the probability of having this tendency.

Exposure to secondhand smoke in the home and mental health in children: a population-based study.

OBJECTIVES: To examine the association between exposure to secondhand smoke (SHS) in the home and mental health among children. METHODS: Cross-sectional study of 2357 children representative of the Spanish population aged 4-12 years in 2011-2012. Duration of SHS exposure in children was reported by parents. Probable mental disorder was defined as a score>90th centile in the parental version of the Strengths and Difficulties Questionnaire (SDQ). Statistical analysis was performed with logistic regression and adjusted for sociodemographic variables, lifestyle, neighbourhood environment and family characteristics, including parental mental health. RESULTS: Among study participants, 6.9% (95% CI 5.7% to 8.0%) were exposed to SHS in the home for <1 h/day and 4.5% (95% CI 3.5% to 5.5%) for ≥1 h/day. Compared to children not habitually exposed to SHS, the multivariate ORs for probable mental disorder were 1.49 (95% CI 0.85 to 2.62) for SHS exposure<1 h/day and 2.73 (95% CI 1.38 to 5.41) for SHS exposure≥1 h/day (p for linear trend=0.002). The corresponding ORs for attention-deficit and hyperactivity disorder (ADHD) were 2.18 (95% CI 1.30 to 3.64) for <1 h/day exposure and 3.14 (95% CI 1.63 to 6.04) for ≥1 h/day exposure (p for linear trend<0.001). No association was found between SHS and the rest of the components of the SDQ. CONCLUSIONS: Among children, SHS exposure in the home during ≥1 h/day is associated with a higher frequency of mental disorder. This association was mostly due to the impact of SHS on ADHD.

Second-hand smoke exposure and psychological distress in adolescents. A population-based study.

OBJECTIVES: To examine the association between duration and place of second-hand smoke (SHS) exposure and psychological distress in adolescents. METHODS: A cross-sectional study conducted in 2008 and 2009 in a representative sample of 4th-year students of secondary education (mean age 15.7 years) in the region of Madrid, Spain. The 2215 students who were not smokers were selected for the analysis. Duration of SHS exposure within and outside the home was obtained by self-report. Psychological distress was defined as a score ≥ 3 points in the General Health Questionnaire (GHQ-12). The analyses were made using logistic regression adjusted for demographic variables, lifestyles and family characteristics. RESULTS: Among non-smoking adolescents, 27.8% (95% CI 25.5 to 30.0) were exposed to SHS in the home, and 33.6% (95% CI 31.3 to 36.0) outside the home. Compared with those with no SHS exposure in the home, the multivariate OR for psychological distress was 1.23 (95% CI 0.92 to 1.64) in individuals with SHS exposure <1 h/day, 2.07 (95% CI 1.30 to 3.28) for exposure 1-3 h/day, and 2.24 (95% CI 1.45 to 3.47) for exposure >3 h/day (p for linear trend <0.001). No association was observed between SHS exposure outside the home and psychological distress. CONCLUSIONS: In non-smoking adolescents, duration of exposure to SHS in the home had a positive dose-response relationship with the frequency of psychological distress. However SHS exposure outside the home did not show an association with mental health.

Behavioral risk factors and mental health: single and cluster associations in Spanish adolescents.

OBJECTIVE: The risk factors associated with mental health in adolescents are not well known in the general population of Mediterranean countries. Therefore, this study aimed to identify individual and clustered behavioral risk factors for psychological distress. METHODS: Cross-sectional study conducted between 2008 and 2009 among 4054 students representative of those in the fourth year of secondary education in the region of Madrid (Spain). Mental health was assessed using the General Health Questionnaire, with psychological distress defined as a score ≥3. The analyses were performed with logistic regression and adjusted for the main confounders. RESULTS: Psychological distress was more frequent in those who did insufficient physical activity (odds ratio [OR], 1.23; 95% confidence interval [CI], 1.03-1.47), smokers (OR, 1.30; 95% CI, 1.07-1.59), and users of illegal drugs (OR, 1.46; 95% CI, 1.21-1.76). Psychological distress also showed a positive dose-response relationship with the number of risk behaviors for eating disorders (p for linear trend <0.001). Moreover, it was associated with both thin (OR, 1.37; 95% CI, 1.16-1.62) or very thin body image (OR, 2.15; 95% CI, 1.39-3.32) and perceived overweight (OR, 1.74; 95% CI, 1.40-2.15) or obesity (OR, 3.12; 95% CI, 2.23-4.37). Compared with individuals without classic risk behaviors (low physical activity, low consumption of fruits/vegetables, smoking, high-risk alcohol consumption), frequency of psychological distress was higher in those with 2 risk behaviors (OR, 1.47; 95% CI, 1.19-1.82) and was even greater in those with 3 or 4 risk behaviors (OR, 1.56; 95% CI, 1.21-2.01). CONCLUSIONS: During adolescence, psychological distress is associated with lifestyles, body image, and eating behaviors. Clustering of classic risk behaviors increases the likelihood of poor mental health.

Confirmatory factor analysis of the General Health Questionnaire (GHQ-12) in Spanish adolescents.

PURPOSE: To evaluate the factor structure of the 12-item General Health Questionnaire (GHQ-12) in a population of Spanish adolescents. METHODS: Cross-sectional study among 4,146 individuals (mean age 16.3 years). The students completed a health questionnaire that included the GHQ-12. A confirmatory factor analysis (CFA) was conducted with four factor structure models. Three of the models were theory-driven: unidimensional, two-dimensional (positive and negative questions), model proposed by Graetz (anxiety and depression, social dysfunction, loss of confidence); and the fourth model was based on our exploratory factor analysis (EFA). RESULTS: The Cronbach's alpha for internal consistency was 0.82. A three-dimensional structure was identified in the EFA. The first factor included items 1, 2, 5, 6, 7, and 9 of the GHQ-12; the second, items 3, 10, and 11; and the third, items 4, 8, and 12. The three factors together explained 53.7% of the variance. The model with the best fit in the CFA was the three-dimensional model proposed by Graetz, followed by the three-dimensional model derived from the EFA. These two models had acceptable goodness-of-fit indices. CONCLUSIONS: In an adolescent population from Southern Europe, the GHQ-12 showed high internal consistency. The factor structure that best fitted the data was the Graetz three-dimensional model. However, the high correlations observed between factors suggest that the GHQ-12 should be used as a unidimensional scale, as currently done.