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1.
Paediatr Anaesth ; 29(7): 712-720, 2019 07.
Article in English | MEDLINE | ID: mdl-30873694

ABSTRACT

BACKGROUND/AIM: Negative postoperative changes in children are frequent and have been described for decades. However, there is currently no theoretical framework, nor any consensual operational criteria for identifying them. This study aims at characterizing the many dimensions involved in postoperative behavioral disturbances in early childhood, using a qualitative analysis applied for the first time to these symptoms. METHOD: Fifty-seven parents of preschool children (1-5 years old; 38 boys), who underwent general anesthesia, were interviewed 10 days after surgery. Semi-structured interviews investigated behavioral disturbances classically described in preschool children. Qualitative analysis of the transcripts allied both deductive and inductive reasoning, and inductive coding was carried out using constant comparison method with dedicated qualitative software. RESULTS: Parents reported both positive and negative postoperative changes. Negative changes were classified in four main categories: (a) Externalizing and (b) Internalizing problems behaviors, (c) Feeding sleeping disruption and (d) Somatic problems, each comprising different sub-categories. Importantly within these categories, the symptoms distribution changed in 5 years old children, compared to younger children. Finally, our method allowed defining whether these (negative or positive) changes were significant or not, that is, the importance of postoperative behavioral changes. CONCLUSION: The results of this study highlight the heterogeneity of postoperative disturbances in preschool children. These results are of primary importance for the definition and measurement of postoperative behavioral disturbances.


Subject(s)
Child Behavior/classification , Postoperative Period , Anxiety , Child Behavior Disorders , Child, Preschool , Female , Humans , Infant , Male , Qualitative Research
2.
Swiss Med Wkly ; 143: w13768, 2013.
Article in English | MEDLINE | ID: mdl-23572422

ABSTRACT

OBJECTIVE: To assess the prevalence of problem gambling in a population of youths in Switzerland and to determine its association with other potentially addictive behaviours. METHODS: Cross-sectional survey including 1,102 participants in the first and second year of post-compulsory education, reporting gambling, socio-demographics, internet use and substance use. For three categories of gambling (nongambler; nonproblem gambler and at-risk/problem gambler). socio-demographic and addiction data were compared using a bivariate analysis. All significant variables were included in a multinominal logistic regression using nongamblers as the reference category. RESULTS: The prevalence of gamblers was 37.48% (n = 413), with nonproblem gamblers being 31.94% (n = 352) and at-risk/problem gamblers 5.54% (n = 61). At the bivariate level, severity of gambling increased among adults (over 18 years) and among males, vocational students, participants not living with both parents and youths having a low socio-economic status. Gambling was also associated to the four addictive behaviours studied. At the multivariate level, risk of nonproblem gambling was increased in males, older youths, vocational students, participants of Swiss origin and alcohol misusers. Risk of at-risk/problem gambling was higher for males, older youths, alcohol misusers, participants not living with both parents and problem internet users. CONCLUSIONS: One-third of youths in our sample had gambled in the previous year and gambling is associated with other addictive behaviours. Clinicians should screen their adolescent patients for gambling habits, especially if other addictive behaviours are present. Additionally, gambling should be included in prevention campaigns together with other addictive behaviours.


Subject(s)
Behavior, Addictive/epidemiology , Gambling/epidemiology , Internet , Substance-Related Disorders/epidemiology , Adolescent , Comorbidity , Cross-Sectional Studies , Family Characteristics , Female , Humans , Logistic Models , Male , Prevalence , Risk Factors , Social Class , Students , Switzerland/epidemiology , Young Adult
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