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1.
Psicol Reflex Crit ; 36(1): 24, 2023 Sep 04.
Article in English | MEDLINE | ID: mdl-37665514

ABSTRACT

Phubbing behavior is a phenomenon that consists in ignoring people in situations of social interaction whilst paying attention to one's smartphone. The study of this behavior enables reflection on the development of healthy behavior patterns when using technology and the design of intervention strategies to cope with phubbing behavior. This study aimed to investigate the relationship between phubbing behavior, use of Instagram, personality traits (Big Five), and sociodemographic variables (gender, education, and age) among Brazilian adults. This was a cross-sectional study with a sample of 1551 adults (61.7% women; 29.9% men), aged between 18 and 76 years (M = 31.6 years; SD = 9.6 years). The results of the correlation analysis indicated that excessive use of Instagram showed a high, positive association ρ (1551) = 0.442 with Phubbing Behavior and a moderate one with neuroticism ρ (1551) = 0.272. Phubbing behavior was positively and moderately with neuroticism ρ (1551) = 0.290, but it had a weak, negative correlation with age ρ (1551) = -0.117; p < 0.001. Multiple linear regression analysis (forward method) indicated that the variables that most strongly impacted Phubbing Behavior were neuroticism (ΔR2 = .236), conscientiousness (ΔR2 = .244) and use of Instagram (ΔR2 = .204). This result indicates that conscientiousness may have a predictive potential to decrease phubbing behavior, whereas neuroticism and use of Instagram may lead to increased phubbing. Multivariate Analysis of Variance indicated that excessive use of Instagram registered higher scores for women (M = 11.48; SD = 0.21) than for men (M = 9.45; SD = 0.27, p < 0.001). It was concluded that while conscientiousness can function as a protective factor for the development of phubbing behavior, high levels of neuroticism and excessive use of Instagram have greater potential to act as risk factors for it. In addition, neuroticism is also a risk factor for excessive use of Instagram, and women are more prone to such overuse.

2.
J Child Sex Abus ; 31(5): 593-615, 2022 Jul.
Article in English | MEDLINE | ID: mdl-35469541

ABSTRACT

Child sexual abuse is a serious problem in Brazil and requires actions taken together by Justice, Security, Health and Social Welfare to effectively protect and guarantee victims' rights. Professionals working in these fields have difficulty in evaluating cases, owing to limitations of the Brazilian Welfare Network and lack of specialized training. Such difficulty may cause professionals to carry out poorly substantiated assessments and fail to properly protect victims. Instruments to measure professionals' attitudes in the assessment of situations of sexual violence are scarce. As a result, this study aimed to adapt and evaluate validity evidence of the Child Forensic Attitude Scale (CFAS) in the Brazilian context. A total of 177 professionals (86.4% females), with a mean age of 37.6 years (SD = 10.1 years) participated in the survey. The results of the confirmatory factor analysis showed that in the Brazilian context, the scale structure presents three first-order oblique factors, namely "Fear of Not Identifying Abuse" (F-Under), "Fear of Overcalling Abuse" (F-Over) and "Skepticism" (Skep). The internal consistency of the three dimensions was satisfactory (F-Under, α = 0.66, F-Over, α = 0.80, and Skep, α = 0.92). Evidence has shown that the CFAS can be used to evaluate health professionals' attitudes when assessing cases of sexual violence against children and adolescents in Brazil. This instrument can support the assessment of health professionals' attitudes, and it emphasizes the importance of qualifying Brazilian professionals in the Welfare Network services by providing training opportunities regarding work with victims of sexual abuse.


Subject(s)
Attitude of Health Personnel , Child Abuse, Sexual , Surveys and Questionnaires , Adolescent , Adult , Brazil , Child , Child Abuse, Sexual/diagnosis , Cross-Cultural Comparison , Factor Analysis, Statistical , Female , Humans , Male , Middle Aged , Reproducibility of Results
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