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Peer reviewed: True, Funder: NIHR Cambridge Biomedical Research Centre; FundRef: https://doi.org/10.13039/501100018956, Funder: Autism Research Trust, Funder: Autistica; FundRef: https://doi.org/10.13039/501100008161, Funder: Templeton World Charity Foundation; FundRef: https://doi.org/10.13039/501100011730, Funder: NIHR Collaboration for Leadership in Applied Health Research and Care East of England at Cambridgeshire and Peterborough NHS Foundation Trust, Funder: Medical Research Council; FundRef: https://doi.org/10.13039/501100000265, Assortative mating is a phenomenon in which romantic partners typically resemble each other at a level greater than chance. There is converging evidence that social behaviours are subject to assortative mating, though less is known regarding social cognition. Social functioning requires the ability to identify and understand the mental states of others, i.e., theory of mind. The present study recruited a sample of 102 heterosexual couples via an online survey to test if theory of mind as measured using facial expressions (Reading the Mind in the Eyes Test) or language (Stiller-Dunbar Stories Task) is associated with assortative mating. Results provide evidence of assortative mating for theory of mind via facial expressions, though there was no such effect for theory of mind via language. Assortative mating for theory of mind via facial expressions was not moderated by length of relationship nor by partner similarity in age, educational attainment, or religiosity, all variables relevant to social stratification. This suggests assortative mating for theory of mind via facial expressions is better explained by partners being alike at the start of their relationship (initial assortment) rather than becoming similar through sustained social interaction (convergence), and by people seeking out partners that are like themselves (active assortment) rather than simply pairing with those from similar demographic backgrounds (social homogamy).

Funder: QR-Strategic Priorities Fund, BACKGROUND: Public awareness of Developmental Language Disorder (DLD) is lower than other neurodevelopmental disorders, despite its high prevalence of 7.6%. This lower awareness means recruitment for DLD research studies is difficult. DLD is both underfunded and under-researched, resulting in relatively limited research investigating individuals with DLD. Engage with Developmental Language Disorder (E-DLD) is a response to these considerations. E-DLD is the first international participant database of those affected by DLD. Parents of children with DLD under 16 and young people and adults over 16 from anywhere in the world can sign up to be a part of the E-DLD. AIMS: This paper aims to describe the families of children with DLD and adults with DLD in the database thus far. METHODS & PROCEDURES: E-DLD members sign up via our website, reporting demographic characteristics as part of this procedure. We request all E-DLD members subsequently fill in a yearly survey. The content of the yearly survey changes dependent on the age of the child, while the yearly survey for adults remains consistent. We measure a wide range of domains, such as speech and language therapy (SLT) support, school support, socialisation skills, and early developmental milestones for our youngest members, and health care support and mental well-being measurements for our adults. We also collect parent and self-reported reflections on strengths and challenges for the person with DLD using open-ended questions and the Strengths and Difficulties Questionnaire. OUTCOMES & RESULTS: The database currently consists of 196 parents of children with DLD and 20 individuals over the age of 16 with DLD or suspected DLD across a range of socioeconomic status (SES) backgrounds. Our initial results confirm that E-DLD members meet the linguistic profile of DLD in relation to self- or parent-rated language difficulties. Both children and adults show increased rates of psychosocial difficulties compared to established norms, consistent with past research on clinical samples of people with DLD. CONCLUSIONS & IMPLICATIONS: The findings indicate that a participant database for DLD research is feasible and useful. The rates of emotional, behavioural and sleep difficulties among the child probands are higher than reported rates amongst typically developing children. Initial data indicate that adults with DLD have poorer well-being than their peers. The E-DLD is a useful collection of data on those affected by DLD and is a promising method for connecting people with DLD with academic researchers. WHAT THIS PAPER ADDS: What is already known on this subject Developmental Language Disorder (DLD) is characterised by expressive and/or receptive language difficulties in the absence of another biomedical condition that could explain these difficulties. It is critically under-researched and underfunded. As such, there is a lack of public awareness and difficulty recruiting sufficient sample sizes for DLD research studies. What this paper adds to existing knowledge Engage with Developmental Language Disorder (E-DLD) is the first international participant database of individuals with DLD. This paper provides a preliminary report on the profile of linguistic and psychosocial skills among the individuals on the database, adding to current understanding of DLD across age groups. What are the potential or actual clinical implications of this work? Our aim is that the E-DLD will provide much-needed facilitation of research into DLD. E-DLD will enable those with DLD and their families more readily to shape research agendas and to participate in studies that interest them. Families may be recruited into research that could directly translate to better clinical treatment of DLD. We also believe that the E-DLD yearly survey holds potential to provide key information on the development and longitudinal experience of children and adults with DLD.