Maria Auxiliadora Robles-Bello

Dr. Maria Auxiliadora Robles-Bello

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2011 in Learning and Individual Differences
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Journal Article
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MCM. Dolores Calero
M. Dolores Calero
GBGarcía-Martin M. Belen
García-Martin M. Belen
MRMaria Auxiliadora Robles-Bello
Maria Auxiliadora Robles-Bello

9 October 2024 in Children
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JCJonathan Camino-Alarcón
Jonathan Camino-Alarcón
MRMaria Auxiliadora Robles-Bello
Maria Auxiliadora Robles-Bello
NVNieves Valencia
Nieves Valencia
ASAziz Sarhani-Robles
Aziz Sarhani-Robles
Background/Objectives: The prevalence of the diagnosis of autism spectrum disorder (ASD) has been increasing globally, necessitating updates to the Diagnostic and Statistical Manual of Mental Disorders with respect to ASD diagnosis. It is now recognised that ASD is related to sensory processing disorder, and sensory integration is considered a suitable intervention for treating children diagnosed with ASD. Methods: This paper provides a systematic review on a timeline from 2013 to 2023, based on the PRISMA model. Evidence was sought in the academic search engines Pubmed, Scielo, Eric, Dialnet, Springer, Base Search and Google Scholar, which produced 16 articles according to the inclusion criteria. Results: According to the results of this review, intervention with sensory integration in infants with ASD meets the criteria to be considered an evidence-based practice. The studies reviewed focused mainly on clinical settings and, therefore, we highlight the urgent need for further research to evaluate the effectiveness of sensory integration interventions in naturalistic settings such as homes and schools. Conclusions: This will help to obtain more representative data on how these interventions affect the daily lives of children with ASD.

22 October 2020 in Current Psychology
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MRMaria Auxiliadora Robles-Bello
Maria Auxiliadora Robles-Bello
David Sánchez-TeruelDavid Sánchez-Teruel
David Sánchez-Teruel
NNNieves Valencia Naranjo
Nieves Valencia Naranjo
The pandemic produced by COVID-19 can lead the population to suffer serious psychological disorders. However, there are several psychosocial variables that can enhance resilient outcomes in adverse situations. The aim would be to establish the level of resilience of the general Spanish population exposed to a traumatic situation by the COVID-19 in order to identify which protective factors predict resilient outcomes. 1227 homebound people (863–70.3% women), aged 18–73 years (M = 28.10; SD = 12.88) reported on sociodemographic and psychological variables such as optimism, hope, self-efficacy and post-traumatic growth. Having a higher academic level (β = .47; CI (95%) = .11–.34; p < .01), being autonomous (β = .29; CI (95%) = 0.1–.09; p < .01), along with self-efficacy (β = .42; CI (95%) = .71–92; p < .01) and to a lesser extent optimism (β = .31; CI (95%) = .63–.84; p < .01) would be the predictive variables of a resilient outcome. A high level of statistical power (1-β = 1) and effect size (f2 = 19.2) is observed. The Spanish population exposed to confinement presents high levels of resilience, but no relevant post-traumatic growth has taken place.

2 May 2023 in BMC Psychology
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IBIrhomis Mendoza Bernal
Irhomis Mendoza Bernal
David Sánchez-TeruelDavid Sánchez-Teruel
David Sánchez-Teruel
MRMaria Auxiliadora Robles-Bello
Maria Auxiliadora Robles-Bello
ASAziz Sarhani-Robles
Aziz Sarhani-Robles
MSMariam Sarhani-Robles
Mariam Sarhani-Robles
Few studies have investigated the effects of the pandemic caused by COVID-19 on health professionals, especially nurses, from the point of view of the protective factors of mental health. The aim of this study was to assess the level of resilience in healthcare workers, to determine whether there were differences between two moments of the pandemic. Applying a longitudinal study, participants (N = 590) from healthcare workers completed surveys in the first wave of the COVID-19 pandemic and the second wave. Socio-demographic and psychosocial variables such as resilience, emotional intelligence, optimism, self-efficacy, anxiety, and depression are used. There were differences between the two waves in all protective and risk variables except anxiety. In the first wave, there were three socio-demographic and psychosocial variables that explained 67.1% of the variance in resilience. In the first wave, three sociodemographic and psychosocial variables explained 67.1% of the variance in resilience in healthcare professionals. The enhancement of specific protective variables in healthcare professionals exposed to situations of high emotional stress can minimise the negative impact of the situation and promote more resilient responses in this professional group as a result.

14 September 2021 in Dementia
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DSDavid Sánchez-Teruel
David Sánchez-Teruel
MRMaria Auxiliadora Robles-Bello
Maria Auxiliadora Robles-Bello
MSMariam Sarhani-Robles
Mariam Sarhani-Robles
ASAziz Sarhani-Robles
Aziz Sarhani-Robles
The COVID-19 pandemic has raised questions about the resilience of health care systems worldwide. In this regard, one group of people whose physical and mental health has been affected has been family caregivers of people with dementia. This study aims to identify the variables that predict a high degree of well-being in family caregivers of people with dementia during this period of mandatory lockdown. A total of 310 respondents participated in an online survey (266 women and 44 men) from various regions in Spain, aged between 20 and 73 years old (M = 46.45; SD = 15.97), and all were family members. The results showed that there were notable differences in all the protective variables, together with a significant strong positive relationship between well-being and resilience (r = 0.92; p < 0.01) and with coping strategies (r = 0.85; p < 0.01), and there were also some significant negative relationships between well-being and difficulties in emotional regulation (ρ = −.78; p < 0.01). The most predictive variables of a higher level of well-being included the type of dementia (β = 1.19; CI (95%) = 1.01-1.29; p< 0.01), living in a large house (β = 0.97; CI (95%) =. 23-0.98; p < 0.01), social support as a coping strategy (β = 1.27; CI (95%) = 1.21-1.29; p < 0.01) and mainly resilience (β = 1.34; CI (95%) = 1.30-1.37; p < 0.01). We discuss the importance of promoting higher levels of resilience through the development of protective psychosocial variables in caregivers of people with dementia exposed to situations of mandatory social isolation as a modulator of the psychosocial well-being of these family caregivers.

1 January 2017 in Research in Developmental Disabilities
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NVNieves Valencia
Nieves Valencia
MRMaria Auxiliadora Robles-Bello
Maria Auxiliadora Robles-Bello