Individual and Environmental Factors Affecting Adaptive Behavior of Toddlers with Autism Spectrum Disorder: Role of Parents’ Socio-cultural Level

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

doi:10.1007/s10803-020-04803-x

Cited by 14 publications

(8 citation statements)

References 57 publications

(82 reference statements)

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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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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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“…Adaptive behavior can be learned, and better adaptive skills increase the probability of the social inclusion of the individual and the improvement of his/her quality of life [32]. Therefore, it is important to determine the factors that may influence the adaptive behavior of an individual with ASD in early childhood [33]. In subjects with ASD, adaptive behavior has been shown to be more strongly correlated with optimum outcomes in adulthood than cognitive functioning [34].…”

Section: Discussionmentioning

confidence: 99%

Sleep Problems and 6-Sulfatoxymelatonin as Possible Predictors of Symptom Severity, Adaptive and Maladaptive Behavior in Children with Autism Spectrum Disorder

Bartakovicova

Keményová

Belica

et al. 2022

IJERPH

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In children with autism spectrum disorder (ASD), sleep disturbances are a frequent comorbidity with an adverse effect on their behavior and functioning. It was suggested that melatonin deficit is at least partly responsible for the sleep problems. The study aimed to investigate, in a sample of 56 children with ASD aged 2.8–13.3 years, if the sleep problems and melatonin secretion can serve as predictors of adaptive functioning and severity of the ASD core symptoms. We demonstrated that, after adjustment for age, the Sleep score assessed by the Children’s Sleep Habits Questionnaire predicts the Adaptive behavior composite score only in children younger than 6 years, and the preferred predictive model is for the domain Socialization. The age-adjusted Sleep score predicted Externalizing and Internalizing maladaptive behavior, with a near-zero contribution of age to the relationship between the Internalizing maladaptive behavior and Sleep score. After adjustment for age, the reduced night-time melatonin secretion predicted a higher severity of ASD symptoms in the domain Social affect and the Calibrated Severity Score, but not the sleep problems. Our results emphasize the importance of assessing sleep problems as a modifiable predictor of behavior in children with ASD and support the hypothesis about the role of melatonin in pathophysiology of ASD.

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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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Individual and Environmental Factors Affecting Adaptive Behavior of Toddlers with Autism Spectrum Disorder: Role of Parents’ Socio-cultural Level

Cited by 14 publications

References 57 publications

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

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

Sleep Problems and 6-Sulfatoxymelatonin as Possible Predictors of Symptom Severity, Adaptive and Maladaptive Behavior in Children with Autism Spectrum Disorder

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

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