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Front. Public Health, 24 October 2018
Sec. Children and Health
This article is part of the Research Topic Intellectual Disability and Assistive Technology View all 7 articles

Parental Intention to Support the Use of Computerized Cognitive Training for Children With Genetic Neurodevelopmental Disorders

\r\nNigel Robb*Nigel Robb1*James NorthridgeJames Northridge2Yurgos PolitisYurgos Politis3Bo ZhangBo Zhang4
  • 1Center for Global Communication Strategies, University of Tokyo, Tokyo, Japan
  • 2Centre for the Integration of Research, Teaching and Learning, University College Cork, Cork, Ireland
  • 3School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland
  • 4Faculty of Education, East China Normal University, Shanghai, China

Children with genetic neurodevelopmental disorders (NDDs) such as Down syndrome, Prader-Willi syndrome, and Fragile X syndrome may show a range of cognitive impairments, including impairments in executive functions (EF). EF are related to general intelligence, academic achievement, and literacy and mathematical skills. EF deficits are linked to a variety of clinically and socially important behaviors. Therefore, methods for improving EF in children with NDDs could be beneficial. One method for improving EF is through cognitive training. Research on commercial brain training programmes and video games suggests that EF can be improved through training, both in healthy adults and in children with NDDs. Computerized cognitive training (CCT) therefore represents a potentially viable intervention for children with NDDs. For training to be effective, it is important that an appropriate regimen is followed. Since children are likely to engage with training at home, the intentions of their parents to support them are therefore important. However, no research has investigated the attitudes of parents of children with NDDs to CCT. To address this, we developed a questionnaire based on the theory of planned behavior, which states that a person's intention to engage in a behavior is predicted by (1) their attitude toward the behavior, (2) their perception of subjective norms regarding the behavior (i.e., perceived social pressure), and (3) their perceived control over the behavior. The questionnaire was completed by parents of children with NDDs; 58 unique responses were retained for analyses. Parents reported low levels of knowledge of CCTs, and low levels of experience with CCTs (both their own experience and their child's experience). However, our results also show that parents of children with NDDs have positive beliefs about the potential of CCT to benefit their children and intend to support the use of CCT by their children. Linear modeling showed that, of the three constructs of the theory of planned behavior, only attitudes significantly predicted intention. Finally, parents' beliefs about the benefits of CCT correlated positively with positive attitudes toward such training. We also found limited evidence that parents of boys have more positive attitudes regarding CCT than parents of girls.


During early life, the typical child's brain develops rapidly. In response to both genes and the environment, neural connections develop that will play a role in every aspect of life: sensing, reasoning, language, motor skills, personality, and memory. Of particular importance is the development of executive functions, such as working memory, inhibition, and task switching (1, 2). Executive functions are high-level cognitive processes which control how and when lower-level cognitive processes operate, such as when we are multitasking or regulating our behavior (e.g., forcing ourselves to eat healthily when we would rather eat cake). Executive functions are essential for success in almost every aspect of our lives; they are related to school readiness (3), the development of academic skills (4), social-emotional competence (5), and psychological well-being (6). Deficits in executive function are associated with clinically significant behaviors such as externalizing behavior (7) and temper outbursts (8). In addition, executive functions are highly adversely affected by stress, sleep deprivation, and poor physical health (9).

Given their importance for success in so many aspects of life, the prospect of improving executive functions through training has recently received a great deal of attention. While far from conclusive, evidence from some randomized controlled trials shows the potential of a variety of training programs (9). Note that executive function training need not necessarily be provided via computer software. For example, Lakes and Hoyt (10) found that 3 months of Tae Kwon Do training improved self-regulation skills in children. However, a large proportion of research in this area has focused on a software-based approach. In such computerized cognitive training (CCT), trainees use a computer or touchscreen device to complete tasks which are designed to engage the target cognitive skills. For example, trainees may be required to categorize objects according to their color, then be asked to switch to categorizing the same objects in terms of their shape (11). This would—it is claimed—improve the trainees' ability to switch between different cognitive tasks, which is an example of an executive function ability (1). There may be several reasons why most research on cognitive training programmes has focused on a software-based approach. For example, the ubiquity of smartphones and other mobile devices, which makes computerized cognitive training more accessible and affordable by being distributed via apps or mobile games (12). In addition, companies like Cogmed1 and Lumos Labs2 are already delivering CCT to large numbers of paying customers (13), despite the fact that there is still no scientific consensus on their effectiveness (14, 15). This means that understanding if and how CCT is effective is research which can benefit a large number of consumers.

Children with neurodevelopmental disorders (NDDs) stand to benefit greatly from the development of effective CCT. There is evidence that children whose executive functioning is poorest show greatest improvement after training (9), and many NDDs are associated with deficits in executive functioning (16). In addition, we know that children with NDDs are at least as capable of, and interested in, using mobile apps and games as typically developing children (17, 18). Finally, research on specific neurodevelopmental disorders has established clear links between atypical neural development and real-world problems faced by children with NDDs and their families, via deficits in executive function. For example, children with the NDD Prader-Willi syndrome often display challenging behaviors (such as temper outbursts and repetitive questioning) following changes to their plans or routines (19). Empirical research has established that this phenomenon is partly caused by an impaired ability to switch between tasks (i.e., impaired executive functioning), which correlates with atypical neural activation during task switching in children with the syndrome (20, 21). More generally, this research on Prader-Willi syndrome demonstrates an approach to modeling the relationship between specific cognitive deficits and behavioral profiles in NDDs in a way which can aid the development of targeted interventions (8, 22), including the development of targeted CCT programs (11). There is therefore compelling evidence that, if CCT of executive functions can be effective, this would be especially beneficial to children with NDDs (16).

However, there are still many issues to be addressed to understand if and how CCT can be effective, both for the general population and for children with NDDs. Here we focus on a specific issue which has so far received limited attention. It is obvious that, for CCT to be effective, participants must actually take part in the training; a CCT app cannot benefit the child who does not download and use it. Yet, for a variety of reasons, ensuring engagement with CCT may not be straightforward. Firstly, during some trials of CCT programmes, researchers note that it can be difficult for trainees to adhere to the training over the required period, and therefore they feel they need to incorporate a parent or other facilitator into the process to ensure adherence (23, 24). In fact, one widely-used commercial program assigns users a coach who monitors their engagement with the software and assists with ensuring motivation and training adherence throughout.3 Secondly, beliefs that apps and games may have negative implications for children's health, development, or safety could impact on parents' willingness to allow their children to use CCTs (25, 26). In both these cases, we can see that parents will have a role to play in supporting the use of CCT by their children with NDDs. As such, it is important to understand the factors which may influence if and how parents of children with NDDs would support the use of CCT by their children.

The theory of planned behavior (27) may provide a systematic way to understand these behavioral intentions. The theory states that an individual's intention to perform (or refrain from performing) a behavior is predicted by (1) their attitudes toward the behavior, (2) their perception of social norms regarding the behavior, and (3) their perceived control over the behavior (27, 28). The theory provides a formal framework for the intuitive idea that the extent to which we engage in an activity (such as playing video games) is linked to our attitudes (e.g., playing video games is good for you), our perceptions of what others think (e.g., other people think it's okay to play video games), and our perceived ability to control the activity (e.g., I think I can stop myself from playing games too often). The theory has been used in a broad range of contexts and is widely regarded to provide a robust model of how an individual's behavioral intentions are determined (29). Importantly, the theory of planned behavior has also been used to successfully examine the behavioral intentions of parents and carers of people with cognitive disabilities (18, 30). Finke et al. (18) investigated the intention of parents of children with the NDD autism spectrum disorder to support video game play by their children. The authors found that parents' attitudes toward video games most strongly predicted their intention to support game play. They also showed that these attitudes were significantly positively correlated with positive behavioral beliefs regarding the effects of gameplay on their children's development, including cognitive development. While these results may have some applicability to the issue of parental intention to support CCT by children with NDD, some important caveats should be noted. Firstly, the focus of this previous study is solely on video games. While it is highly plausible that playing such games may have positive effects on cognitive processes (31), our focus is on the beliefs and intentions of parents toward software that is explicitly marketed and distributed with the intention of providing cognitive training. Most popular video games are not marketed and distributed in this way. Secondly, and most importantly, this previous study is focused only on parents of children with autism, and the cognitive profile of autism is complex: there is evidence that many individuals with autism have average intellectual ability (32), and that executive function deficits, although they may occur, are not universal in autism (32, 33). In addition, by focusing on autism, one would expect (and this was the case) more responses from parents of boys than girls, as autism is more prevalent in males (32).

In the present study we measured the attitudes, knowledge, and experience of parents of children with NDDs associated with intellectual disability regarding CCT. Our primary aim was to investigate if the constructs of the theory of planned behavior predicted parental intention to support the use of CCT. In addition, we aimed to investigate potential correlations between attitudes, knowledge, or experience regarding CCT, and correlations between the constructs of the theory of planned behavior. Our final aim was to investigate if there are differences in these attitudes, knowledge, and experience between parents of children with different identified gender or a different diagnosis of NDD.

Materials and Methods


An online questionnaire was developed for this study (see Supplemental Material for the full questionnaire). Introductory pages explained the research to respondents, making clear that their responses would be recorded anonymously and that they were not obliged to take part. This introductory section also included a brief explanation of CCT, including images showing examples of a variety of CCT programs. The images used were all obtained from the websites of CCTs; only images designated as freely-available for press use were used in the questionnaire. As in previous similar research investigating parental attitudes to technology use (18), the questionnaire incorporated items designed to determine respondents' behavioral intention to support CCT, attitudes toward CCT, their perceptions of behavioral control over the use of CCT and their perceptions of social norms regarding CCT (i.e., the constructs of the theory of planned behavior). The questionnaire also incorporated items related to behavioral beliefs about how CCT may affect their child's cognitive skills (e.g., “I believe that cognitive training programmes would help my child develop his/her problem-solving skills”), items relating to parents' knowledge of CCT, their level of experience (and their child's level of experience) with CCT, and demographic questions, including the specific NDD the respondent's child had been diagnosed with, the age of diagnosis, and their child's age and gender. Apart from demographic questions, all items were 7-point Likert-style ratings (see Supplemental Material for the labels used for each item).

Participants and Recruitment

The questionnaire was completed by parents of children with NDDs. A total of 62 responses were received. We removed 3 responses which we suspected to be duplicates. We suspected they were duplicates because each response was identical to another response and submitted very close in time to the other response. We also removed 1 response as it was unclear if the child had in fact been diagnosed with a genetic syndrome associated with ID. Participants were recruited by firstly contacting organizations that support children with NDDs. Once an organization agreed to assist with recruitment, they were asked to circulate a link to the questionnaire via email, social media, and organizations' own websites. All data was collected anonymously. All recruitment and data collection procedures were approved by the Human Research Ethics Committee at University College Dublin.

Data Preparation

Data were analyzed using IBM SPSS v. 24. To determine internal consistency of the theory of planned behavior constructs, we calculated Cronbach's alpha for each construct. A value of alpha >0.70 shows an acceptable level of internal consistency (34). Cronbach's Alpha was acceptable for attitude (a = 0.933), subjective norms (a = 0.936), and perceived behavioral control (a = 0.736). Cronbach's Alpha was also acceptable for the additional behavioral beliefs construct (a = 0.963). For each individual parent's responses, we then calculated the mean score for each of the constructs and used these means in our analyses.


The final sample consisted of 58 participants (34 female; mean age 9.38 years, std. dev. 5.94 years). The NDDs represented among the sample are shown in Table 1. Means and standard deviations for the main constructs/items are shown in Table 2: overall, parents intend to support the use of CCT by their children; their behavioral beliefs about CCT are positive, as are their attitudes toward CCT; parents perceive that social norms regarding CCT are positive; they also believe that they could control how often their child uses CCT. However, parents reported that both they and their child have limited experience with CCT. Parents also reported that they have low levels of knowledge about CCT.


Table 1. Genetic neurodevelopmental disorders (NDDs) with which respondents' children had been diagnosed.


Table 2. Means and standard deviations for the main items/constructs.

To determine if parents of children with different genetic syndromes offered different responses, we ran Kruskal-Wallis H-tests. We used 5 groups: Prader-Willi syndrome, Down syndrome, 22q11.2 deletion syndrome, Williams syndrome, and Other. We found no significant differences between these groups in any of the constructs of the theory of planned behavior, nor in terms of parents' knowledge of CCT, parents' experience of CCT, or children's experience of CCT.

Next, we ran Mann-Whitney U-tests to determine if there were differences in terms of child's gender. Only the attitude construct was statistically significantly different; in this case, the distributions were judged to be similar (based on visual inspection of a population pyramid), and median attitudes scores were higher in parents of males (6.33) than females (5.66), U = 571, z = 2.584, p = 0.01.

Automatic linear modeling in SPSS version 24 was used to determine the direct predictors of parents' intention to support the use of CCT, based on the theory of planned behavior. Automatic data preparation was disabled, meaning that all 58 cases were included in the model and no variables were transformed. The three constructs of the theory of planned behavior (attitudes, perceived social norms, and perceived control) were included in the model. The variable selection method was forward stepwise regression. The model was significant [adjusted R2 = 0.575, F(2, 55) = 39.585, p < 0.001]. Only attitudes significantly predicted intention to support CCT, as shown in the model summary in Table 3.


Table 3. Model summary.

Finally, we considered correlations between variables using Spearman's Rank-Order correlation. We found a strong positive correlation between behavioral beliefs and attitudes, rs(56) = 0.715, p < 0.001. We also considered if behavioral beliefs or attitudes correlated with any of the following three variables: parents' knowledge of CCT; parents' experience of CCT; children's experience of CCT. None of these correlations were significant.


Even though cognitive training receives much attention in the media, and many such apps are widely available both online and via mobile app stores, the parents in our sample reported low knowledge of CCT. Additionally, both parents and children had limited experience with CCT. One possible explanation for this finding is that CCT programmes are typically not marketed toward children with genetic NDDs. It may be that parents of children with these syndromes—i.e., children who stand to benefit greatly from CCTs—are simply not very well informed about the applicability of such software as interventions for their children. This, in turn, may be because most current research and development on CCT is not in fact focused on children with genetic NDDs such as those exhibited in our sample. For example, Lumosity, which is one of the most widely used commercial CCT programmes (12) is only intended to be used by adults4, while research focusing on the application of CCT as executive function training for children with disabilities primarily focuses on attention deficit hyperactivity disorder (16).

However, despite limited knowledge of, and experience with, CCT, parents do believe that such training could potentially benefit their children, across a broad range of areas, including social skills, motor skills, cognitive skills, and quality of life. In line with previous research, we found that the theory of planned behavior can be used to model how these positive beliefs influence parents' intention to support the use of CCT: as expected, we found that attitudes were the strongest predictor of behavioral intention. In fact, in our model, the attitudes construct was the only significant predictor of intention. Furthermore, these positive attitudes are strongly correlated with parents' positive beliefs about the effects of CCT on the range of skills mentioned above. As such, our study shows that parents' intention to support the use of CCT is based primarily on positive beliefs about what CCT can achieve and positive attitudes about CCT in general.

Interestingly, our research suggests the possibility that parents' beliefs about the benefits of CCT are not necessarily based on practical experience or awareness of such programs, since knowledge of and experience with CCT were low, while beliefs and attitudes regarding CCT were high. We were unable to establish significant correlations between knowledge or experience and the variables related to planned behavior. Therefore, while it is encouraging to know that the parents in our sample believe CCT to be potentially beneficial, a crucial open question remains about what these beliefs are in turn based on.

Unexpectedly, we found limited evidence that parents of boys had significantly more positive attitudes regarding CCT than parents of girls. It would be unwise to draw conclusions based on this limited finding in a small sample. However, if parental attitudes regarding CCT were different for parents of boys and girls, this would be an important issue, as research suggests that parents' (35) and teachers' (36) gender stereotypes regarding children's abilities can negatively impact differences in attitudes and abilities of children to their education.

Our study also adds to previous research by providing evidence that the theory of planned behavior may be used to model how parents of children with NDDs other than autism make decisions about software use. This is important because children with NDDs linked to the genetic syndromes found in our sample will undoubtedly have different cognitive profiles to children with autism.


It is important to be cautious when drawing conclusions from this study due to some limitations. As our questionnaire was delivered online, our results are therefore subject to the inherent limitations of this approach. Specifically, it is recognized that technical problems can affect online questionnaires (37). It is possible that such technical problems led to the possible duplicate responses which were removed, as explained in section Participants and Recruitment. Additionally, our sample size is small, and so we should be careful about generalizing our findings. However, it is worth noting that the syndromes featured in our sample are all considered to be rare [e.g., Whittington et al. (38) estimated that the population prevalence of Prader-Willi syndrome could be as low as 1:52,000], and, as far as we are aware, our study is the first to investigate the attitudes of parents of children with NDDs to CCT. As such, it provides an important starting point for future research in this area. The final limitation is more complex. As our findings show, parents had limited knowledge of CCT. As we expected this, we prefaced our questionnaire with a brief description of CCT, including pictures illustrating specific programs. While we aimed to ensure that (1) we did not encourage parents to answer the questionnaire with a specific CCT program in mind, and (2) we did not predispose parents to have positive or negative attitudes to CCT, it is nevertheless possible that parents were influenced to some extent by this description. However, given the limited knowledge parents have of CCT, it is difficult to see how we could have avoided providing some description. This limitation could be partly addressed by conducting a similar study with parents of children with NDDs who have significant experience of CCT; such parents would presumably not require a pre-questionnaire explanation, and so it may be that the issue of influencing parents' beliefs in these introductory explanations could be avoided.

Future Work

Perhaps the clearest avenue for future work arising from our study is the open question of what exactly parents' positive beliefs about CCT are based on. It is conceivable, for example, that parents may be influenced by the claims of developers of commercialized CCT about the effectiveness of their products. This would be a concern, as Lumos Labs, a major developer of CCT, has previously been fined a substantial amount by the Federal Trade Commission for deceptive advertising5. In this context, it would also be interesting to carry out further research on families for which knowledge of, and experience with, CCT is higher, to determine if increased awareness of CCT impacts parental attitudes, beliefs, and intentions. It is important that parents of children with NDDs can make informed decisions about any intervention they choose to use for their child. As such, increasing the availability of clear, simple information about the effectiveness (or otherwise) of CCT, and ensuring that developers of commercial CCTs do not mislead parents of children with NDDs should be recognized as an important issue to be addressed alongside the development of potentially more effective CCT programs in the future.

Data Availability Statement

The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.

Author Contributions

NR led the study, conceived the study idea and design, developed the questionnaire, carried out statistical analyses, interpreted results, and prepared the final manuscript. JN contributed material for the literature review, helped with recruitment, contributed to the development of the methods section and reviewed the manuscript. YP contributed material for the literature review, processed the experimental data, carried out some of the statistical analysis, aided in interpreting the results and reviewed the manuscript. BZ contributed to questionnaire construction, ethical approval, and the literature review.


This research was supported by funding from the charity RESPECT and the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no. PCOFUND-GA-2013-608728.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


The authors would like to acknowledge the organizations who assisted in recruitment by disseminating the questionnaire to families, and, most importantly, the parents who completed the questionnaire and their children.

Supplementary Material

The Supplementary Material for this article can be found online at:



1. Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager TD. The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn Psychol. (2000) 41:49–100. doi: 10.1006/cogp.1999.0734

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Miyake A, Friedman NP. The nature and organization of individual differences in executive functions: four general conclusions. Curr Direct Psychol Sci. (2012) 21:8–14. doi: 10.1177/0963721411429458

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Bierman KL, Nix RL, Greenberg MT, Blair C, Domitrovich CE. Executive functions and school readiness intervention: impact, moderation, and mediation in the Head Start REDI program. Dev Psychopathol. (2008) 20:821–43. doi: 10.1017/S0954579408000394

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Allan NP, Hume LE, Allan DM, Farrington AL, Lonigan CJ. Relations between inhibitory control and the development of academic skills in preschool and kindergarten: a meta-analysis. Dev Psychol. (2014) 50:2368. doi: 10.1037/a0037493

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Riggs NR, Jahromi LB, Razza RP, Dillworth-Bart JE, Mueller U. Executive function and the promotion of social–emotional competence. J Appl Dev Psychol. (2006) 27:300–9. doi: 10.1016/j.appdev.2006.04.002

CrossRef Full Text | Google Scholar

6. Short MM, Mazmanian D, Oinonen K, Mushquash CJ. Executive function and self-regulation mediate dispositional mindfulness and well-being. Personal Individ Diff. (2016) 93:97–103. doi: 10.1016/j.paid.2015.08.007

CrossRef Full Text | Google Scholar

7. Young SE, Friedman NP, Miyake A, Willcutt EG, Corley RP, Haberstick BC, et al. Behavioral disinhibition: liability for externalizing spectrum disorders and its genetic and environmental relation to response inhibition across adolescence. J Abnorm Psychol. (2009) 118:117. doi: 10.1037/a0014657

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Oliver C, Adams D, Allen D, Bull L, Heald M, Moss J, et al. Causal Models of Clinically Significant Behaviors in Angelman, Cornelia de Lange, Prader–Willi and Smith–Magenis Syndromes. In: International Review of Research in Developmental Disabilities Vol. 44, Academic Press (2013). p. 167–211.

Google Scholar

9. Diamond A. Executive functions. Ann Rev Psychol. (2013) 64:135–68. doi: 10.1146/annurev-psych-113011-143750

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Lakes KD, Hoyt WT. Promoting self-regulation through school-based martial arts training. J Appl Dev Psychol. (2004) 25:283–302. doi: 10.1016/j.appdev.2004.04.002

CrossRef Full Text | Google Scholar

11. Robb N, Waller A, Woodcock K. The development of TASTER, a cognitive training game using human-centered design, tailored for children with global and specific cognitive impairments. In Games and Virtual Worlds for Serious Applications (VS-Games), 2015 7th International Conference on IEEE. (2015). p. 1–2

Google Scholar

12. Torous J, Staples P, Fenstermacher E, Dean J, Keshavan M. Barriers, benefits, and beliefs of brain training smartphone apps: an internet survey of younger US consumers. Front Hum Neurosci. (2016) 10:180. doi: 10.3389/fnhum.2016.00180

CrossRef Full Text | Google Scholar

13. Rabipour S, Raz A. Training the brain: fact and fad in cognitive and behavioral remediation. Brain Cogn. (2012) 79:159–79. doi: 10.1016/j.bandc.2012.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Allaire JC, Bäckman L, Balota DA, Bavelier D, Bjork RA, Bower GH, et al. A Consensus on the Brain Training Industry From the Scientific Community. Max Planck Institute for Human Development and Stanford Center on Longevity. (2014). Available online at:

15. Alescio-Lautier B, Allen M, Andersen RA, Ball KK, Banai K, Baniel A, et al. Cognitive Training Data Response Letter. (2014). Available online at:

16. Kirk HE, Gray K, Riby DM, Cornish KM. Cognitive training as a resolution for early executive function difficulties in children with intellectual disabilities. Res Dev Disabilities (2015) 38:145–60. doi: 10.1016/j.ridd.2014.12.026

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Durkin K. Videogames and young people with developmental disorders. Rev General Psychol. (2010) 14:122. doi: 10.1037/a0019438

CrossRef Full Text | Google Scholar

18. Finke EH, Hickerson B, McLaughlin E. Parental intention to support video game play by children with autism spectrum disorder: an application of the theory of planned behavior. Lang Speech Hear Serv Schools (2015) 46:154–65. doi: 10.1044/2015_LSHSS-13-0080

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Woodcock K, Oliver C, Humphreys G. Associations between repetitive questioning, resistance to change, temper outbursts and anxiety in Prader–Willi and Fragile-X syndromes. J Intellect Disabil Res. (2009) 53:265–78. doi: 10.1111/j.1365-2788.2008.01122.x

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Woodcock KA, Oliver C, Humphreys GW. The relationship between specific cognitive impairment and behaviour in Prader–Willi syndrome. J Intellect Disabil Res. (2011) 55:152–71. doi: 10.1111/j.1365-2788.2010.01368.x

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Woodcock KA, Humphreys GW, Oliver C, Hansen PC. Neural correlates of task switching in paternal 15q11–q13 deletion Prader–Willi syndrome. Brain Res. (2010) 1363:128–42. doi: 10.1016/j.brainres.2010.09.093

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Waite J, Heald M, Wilde L, Woodcock K, Welham A, Adams D, et al. The importance of understanding the behavioural phenotypes of genetic syndromes associated with intellectual disability. Paediatr Child Health (2014) 24:468–72. doi: 10.1016/j.paed.2014.05.002

CrossRef Full Text | Google Scholar

23. Kerr EN, Blackwell MC. Near-transfer effects following working memory intervention (Cogmed) in children with symptomatic epilepsy: an open randomized clinical trial. Epilepsia (2015) 56:1784–92. doi: 10.1111/epi.13195

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Cruz VT, Pais J, Alves I, Ruano L, Mateus C, Barreto R, et al. Web-based cognitive training: patient adherence and intensity of treatment in an outpatient memory clinic. J Med Internet Res. (2014) 16:3377. doi: 10.2196/jmir.3377

CrossRef Full Text | Google Scholar

25. Delen E, Kaya F, Ritter NL, Sahin A. Understanding parents' perceptions of communication technology use. Int Online J Educ Sci. (2015) 7:22–36. doi: 10.15345/iojes.2015.04.003

CrossRef Full Text | Google Scholar

26. Bourgonjon J, Valcke M, Soetaert R, De Wever B, Schellens T. Parental acceptance of digital game-based learning. Comput Educ. (2011) 57:1434–44. doi: 10.1016/j.compedu.2010.12.012

CrossRef Full Text | Google Scholar

27. Ajzen I. The theory of planned behavior. Organ Behav Hum Decision Processes (1991) 50:179–211. doi: 10.1016/0749-5978(91)90020-T

CrossRef Full Text | Google Scholar

28. Armitage CJ, Conner M. Efficacy of the theory of planned behaviour: a meta-analytic review. Br J Soc Psychol. (2001) 40:471–99. doi: 10.1348/014466601164939

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Montano DE, Kasprzyk D. Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. In: Glanz K, Rimer BK, and Viswanath K, editors. Health Behavior: Theory, Research and Practice, San Francisco, CA: Wiley (2015). p. 5–124.

Google Scholar

30. Jenkins CM, McKenzie K. The application of the Theory of Planned Behaviour to diet in carers of people with an intellectual disability. J Appl Res Intellect Disabil. (2011) 24:237–46. doi: 10.1111/j.1468-3148.2010.00594.x

CrossRef Full Text | Google Scholar

31. Shute VJ, Ventura M, Ke F. The power of play: the effects of Portal 2 and Lumosity on cognitive and noncognitive skills. Comput Educ. (2015) 80:58–67. doi: 10.1016/j.compedu.2014.08.013

CrossRef Full Text | Google Scholar

32. Baird G, Simonoff E, Pickles A, Chandler S, Loucas T, Meldrum D, et al. Prevalence of disorders of the autism spectrum in a population cohort of children in South Thames: the Special Needs and Autism Project (SNAP). Lancet (2006) 368:210–5. doi: 10.1016/S0140-6736(06)69041-7

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Reno AJ. Executive Dysfunction in Autism and Asperger's Disorder: A Meta-Analytic Review of Cognitive Planning. dissertation. Wright State University: Dayton, OH (2012).

Google Scholar

34. Bland JM, Altman DG. Statistics notes: cronbach's alpha. BMJ (1997) 314:572. doi: 10.1136/bmj.314.7080.572

CrossRef Full Text | Google Scholar

35. Jacobs JE, Davis-Kean P, Bleeker M, Eccles JS, Malanchuk O. I can, but I don't want to. the impact of parents, interests, and activities on gender differences in math. In: Gallagher A and Kaufman J, editors. Gender Difference in Mathematics, Cambridge: Cambridge University Press. (2005). p. 246–263.

Google Scholar

36. Wolter I, Braun E, Hannover B. Reading is for girls!? The negative impact of preschool teachers' traditional gender role attitudes on boys' reading related motivation and skills. Front Psychol. (2015) 6:1267. doi: 10.3389/fpsyg.2015.01267

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Skitka LJ, Sargis EG. The Internet as psychological laboratory. Annu Rev Psychol. (2006) 57:529–55. doi: 10.1146/annurev.psych.57.102904.190048

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Whittington JE, Holland AJ, Webb T, Butler J, Clarke D, Boer H. Population prevalence and estimated birth incidence and mortality rate for people with Prader-Willi syndrome in one UK Health Region. J Med Genet. (2001) 38:792–8. doi: 10.1136/jmg.38.11.792

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: intellectual disability, cognitive training, developmental disabilities, theory of planned behavior, assistive technology

Citation: Robb N, Northridge J, Politis Y and Zhang B (2018) Parental Intention to Support the Use of Computerized Cognitive Training for Children With Genetic Neurodevelopmental Disorders. Front. Public Health 6:309. doi: 10.3389/fpubh.2018.00309

Received: 01 April 2018; Accepted: 05 October 2018;
Published: 24 October 2018.

Edited by:

Roy Chen, University of Texas Rio Grande Valley Edinburg, United States

Reviewed by:

Mario Speranza, Université de Versailles Saint-Quentin-en-Yvelines, France
Emma Maria Smith, University of British Columbia, Canada

Copyright © 2018 Robb, Northridge, Politis and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Nigel Robb,

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