Behavioral and emotional problems of toddlers with autism spectrum disorder: Effects of parents’ sociocultural level and individual factors

Bacherini, Alice; Igliozzi, Roberta; Cagiano, Romina; Mancini, Alice; Tancredi, Raffaella; Muratori, Filippo; Balboni, Giulia

doi:10.1016/j.ridd.2021.104106

Cited by 17 publications

(6 citation statements)

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“…This rate was much higher than the prevalence of behavioral problems among primary and middle school students in Hubei province [ 27 ]. The relationships between individual factors, family factors, clinical characteristics and behavioral problems in children with different medical conditions were inconsistent [ 28 – 30 ]. However, sex effect was more exactly in surveys [ 31 , 32 ].…”

Section: Discussionmentioning

confidence: 99%

Sociodemographic and clinical characteristics of children with tic disorders and behavioral problems: A real-world study and development of a prediction model

Liu

Wang²,

Ye³

et al. 2023

BMC Pediatr

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Background Tic disorders (TD) are complex neuropsychiatric disorders frequently associated with a variety of comorbid problems, whose negative effects may exceed those of the tics themselves. In this study, we aimed to explore the sociodemographic and clinical characteristics of children with TD and behavioral problems, and develop a prediction model of behavioral problems based on the predictors under real-world conditions. Methods A hospital-based cross-sectional study was conducted on children with TD. Behavioral problems were surveyed using the Achenbach Child Behavior Checklist (CBCL). Sociodemographic information was collected from face-to-face interviews using an electronic questionnaire administered during the initial ambulatory visit. Clinical data were collected from medical records, and quality control was performed. The sociodemographic and clinical characteristics of patients with and without behavioral problems were statistically compared, and a nomogram prediction model was developed based on multivariate logistic regression analysis. The discriminatory ability and clinical utility of the nomogram were assessed by concordance index (C-index), receiver operating characteristic (ROC) curve, decision curve analysis (DCA) and clinical impact curve (CIC). Results A total of 343 TD cases were included in the final analysis, of which 30.32% had behavioral problems. The prediction model showed age 12–16 years, abnormal birth history, parenting pattern of indulgence, parent/close relatives with psychiatric disorders, chronic motor or vocal tic disorder (CTD)/Tourette syndrome (TS) and moderate/severe tic severity were associated with behavioral problems in children with TD. The C-index of the prediction model (nomogram) was 0.763 (95% confidence interval, 0.710 ~ 0.816). The nomogram was feasible for making beneficial clinical decisions, according to the satisfactory results of the DCA and CIC. Conclusions A nomogram prediction model for comorbid behavioral problems in children with TD was established. The prediction model demonstrated a good discriminative ability and predictive performance for beneficial clinical decisions. This model further provides a comprehensive understanding of associated sociodemographic and clinical characteristics by visual graphs and allows clinicians to rapidly identify patients with a higher risk of behavioral problems and tailor necessary interventions to improve clinical outcomes.

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Section: Discussionmentioning

confidence: 99%

Sociodemographic and clinical characteristics of children with tic disorders and behavioral problems: A real-world study and development of a prediction model

Liu

Wang²,

Ye³

et al. 2023

BMC Pediatr

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“…Third, the results of this study show relationships between different predictor variables and QoL scores, but causal relationships were not established. Finally, we were unable to provide additional data on the relationship between QoL and other relevant variables, such as adaptive behavior, the presence of associated conditions, informants' demographic characteristics, parental socioeconomic status, or family factors (Bacherini et al, 2021; Balboni et al, 2020; 2021; Haddad et al, 2018; Lee, Knafl, et al, 2021; Menardo et al, 2017), which could increase the value of the explained variance. Future investigations on individual QoL in this population should therefore study the role of other variables, especially those that are susceptible to change (Shields et al, 2018; 2020) and that could act as mediating and moderating variables of QoL-related personal outcomes (Gómez, Schalock, & Verdugo, 2020).…”

Section: Discussionmentioning

confidence: 99%

Predictors of individual quality of life in young people with Down syndrome.

Morán¹,

Gómez²,

Balboni³

et al. 2022

Rehabilitation Psychology

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Purpose/Objective: Although the concept of quality of life (QoL) has become a reference framework for the provision of support and services to people with intellectual disability (ID), its conceptualization and application for persons with Down syndrome (DS) have received little attention. This study analyzed QoL outcomes in children and young people with DS and examined the influence of several individual and environmental variables on QoL. Research Method/Design: A cross-sectional study was conducted. Participants were 404 children and young people with DS aged 4 to 21 who were users of 73 organizations providing services to people with ID. The KidsLife-Down Scale was used to assess QoL-related personal outcomes perceived by professionals and relatives. Descriptive statistics were calculated. Correlation coefficients were computed and multiple regression analyses were conducted for each QoL domain and for the composite score. Results: The highest scores were obtained in material well-being, physical well-being, and rights, whereas the lowest scores were observed in self-determination and social inclusion. Multiple regression analyses showed that age, level of ID, level of support needs, degree of dependency, type of schooling, and size of organization were predicting factors of scores in QoL domains. Conclusions: This study underlines priority areas and relevant variables that must be considered when planning, implementing, and assessing supports and services to improve the QoL of children and young people with DS.

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“…Several investigations have found how SES, Cultural Capital, and Social Capital have different relationships with different aspects of human behavior. Consider, for example, the Big Five personality profiles of adolescents [ 43 , 45 ], and adaptive behavior [ 42 ], and emotional and behavioral problems [ 44 ] of toddlers with autism spectrum disorders.…”

Section: Discussionmentioning

confidence: 99%

“…In the first study, we developed a brief version of the Italian PSCS (PSCS-Brief Italian Version). First, we selected the most informative items of the Italian version of the PSCS ( [41]; see the following for the use of this scale: [42][43][44][45]), in accord with the methodology proposed by Wang et al [37]. Then, we ran a confirmatory factor analysis (CFA) to investigate the factorial structure of the selected items.…”

Section: Introductionmentioning

confidence: 99%

Adaptation of the personal social capital brief scale for the measurement of the offline and online social capital in Italy

2022

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Social Capital refers to the resources associated with durable and trustworthy social connections. Social Capital can be developed through offline and online relationships. It can be distinguished between cognitive Social Capital (perception of trustworthiness, reciprocity, and support) and structural Social Capital (density of social networks and membership, and participation in groups and associations). It can also be distinguished between bonding Social Capital (resources associated with informal networks; i.e., neighbors, friends, colleagues) and bridging Social Capital (resources associated with formal networks; i.e., community service, cultural, religious or political groups/associations). The different forms and dimensions of Social Capital may have distinct effects on health outcomes and self-rated health. Therefore, public health researchers need valid and reliable instruments to investigate Social Capital. However, valid instruments including the measurement of online Social Capital are not available. The Personal Social Capital Scale aims to assess bonding and bridging Social Capital by means of cognitive and structural items. In the present investigation, three studies were carried out (N = 1149) to adapt the Personal Social Capital Scale to develop the Personal On-Offline Social Capital Brief Scale, a brief scale for measuring online and offline bonding and bridging Social Capital in Italy. Factorial structure and convergent/divergent validity in relation to scales measuring constructs with different patterns of relationships with bonding and bridging Social Capital (i.e., social support and stress; sense of community and health) were also investigated. Overall, these studies provide evidence of reliability and validity related to the internal structure of the Personal On-Offline Social Capital Brief Scale in measuring online and offline bonding and bridging Social Capital and discriminating them from similar constructs. This scale is a useful instrument for planning public health interventions.

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Behavioral and emotional problems of toddlers with autism spectrum disorder: Effects of parents’ sociocultural level and individual factors

Cited by 17 publications

References 50 publications

Sociodemographic and clinical characteristics of children with tic disorders and behavioral problems: A real-world study and development of a prediction model

Sociodemographic and clinical characteristics of children with tic disorders and behavioral problems: A real-world study and development of a prediction model

Predictors of individual quality of life in young people with Down syndrome.

Adaptation of the personal social capital brief scale for the measurement of the offline and online social capital in Italy

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