"I'm Trying to Reach Out, I'm Trying to Find My People": A Mixed-Methods Investigation of the Link Between Sensory Differences, Loneliness, and Mental Health in Autistic and Nonautistic Adults

Exploring perinatal loneliness as a key social determinant of perinatal mental ill health in the UK: findings from a multidisciplinary consensus statement exercise that mapped knowledge about measurement, prevalence, antecedents, impacts and interventions, and agreed future priorities for research, policy and practice

OBJECTIVES

New parents are at increased risk of loneliness, which adversely affects parental and infant health and well-being and has been linked to an increased likelihood of parental mental illness. In the UK, perinatal mental illness is estimated to cost £8.1bn a year, predominantly due to lasting poor health and developmental consequences for children. The purpose of this consensus statement is to determine the state of this research field, highlighting key issues for researchers, policymakers and those responsible for perinatal mental health services and interventions. We will also highlight knowledge gaps to be addressed in future perinatal loneliness research.

DESIGN, SETTING AND PARTICIPANTS

The Parental Loneliness Research Group held six online meetings between October 2023 and May 2024, attended by academics and practitioners from the UK and USA. Attendees conducted a mapping exercise by appraising published, unpublished and ongoing perinatal loneliness research. The findings were shared with advisory groups, including parents with lived experience of loneliness. A consensus statement was then drafted, reflecting existing knowledge and gaps in the current evidence about the experience of perinatal loneliness in the first 1001 days.

RESULTS

A consensus about the definitions, measurement, prevalence, antecedents, impacts and interventions relevant to perinatal loneliness is outlined. Gaps in the literature are highlighted.

CONCLUSIONS

Despite emerging research into perinatal loneliness, it is hard to determine prevalence due to limited analyses of national survey data. Recommendations for future research include secondary data analysis; prioritising equality, diversity and inclusion; reconsidering solutions to perinatal loneliness through a social justice lens; co-producing interventions, and rigorous evaluation of existing interventions.

A model linking emotional dysregulation in neurodivergent people to the proprioceptive impact of joint hypermobility

Emotional feelings are putatively ascribed to central representation of bodily states in the context of expectation and uncertainty in both internal state and external world. Neurodivergent people are more likely to experience co-occurring mental health challenges, although mechanistic insights underpinning this association are scarce. We therefore undertook a study to test whether imprecise processing of proprioceptive error signals may underlie the connection between neurodivergence and emotional dysregulation. In a cohort of people with complex chronic conditions, including chronic pain/fatigue, and complex trauma, and in a comparison group, we assessed presence of neurodivergence, variant connective tissue manifested through joint hypermobility, and emotional dysregulation. We present a data-informed conceptual model showing that variant connective tissue determines whether proprioceptive surprise is linked with emotional dysregulation in neurodivergent individuals. We suggest that future research in this area may have important clinical implications for the interaction of mental and physical wellbeing in neurodivergent people. This article is part of the theme issue 'Sensing and feeling: an integrative approach to sensory processing and emotional experience'.

People with Autism Spectrum Disorder Could Interact More Easily with a Robot than with a Human: Reasons and Limits

Individuals with Autism Spectrum Disorder show deficits in communication and social interaction, as well as repetitive behaviors and restricted interests. Interacting with robots could bring benefits to this population, notably by fostering communication and social interaction. Studies even suggest that people with Autism Spectrum Disorder could interact more easily with a robot partner rather than a human partner. We will be looking at the benefits of robots and the reasons put forward to explain these results. The interest regarding robots would mainly be due to three of their characteristics: they can act as motivational tools, and they are simplified agents whose behavior is more predictable than that of a human. Nevertheless, there are still many challenges to be met in specifying the optimum conditions for using robots with individuals with Autism Spectrum Disorder.