Skip to main content
Sage Choice logoLink to Sage Choice
. 2026 Feb 22;30(7):1901–1915. doi: 10.1177/13623613261418468

The potential for successful autistic ageing: Proposing a lifespan developmental psychology approach

Berthine Ommensen 1,✉, Tony Attwood 2, Nancy A Pachana 1, Kate Sofronoff 1,3
PMCID: PMC13287366  PMID: 41724671

Abstract

Negative misconceptions about the inevitability of declining physical health and cognitive functioning in old age abound in society and in literature on autistic ageing. But there is a paradox of ageing: most older adults in the general population experience increases in life satisfaction and emotional wellbeing in later life that are associated with quality of life and indicative of successful ageing. Parallel patterns of later-life improvement in psychosocial functioning and emotional wellbeing have been found in attention deficit hyperactivity disorder and schizophrenia, which raises the tantalising question: could the paradox of ageing be true for older autistic adults too? Contemporary gerontological research that reconciles the contradictions inherent in this paradox from a lifespan developmental psychology perspective also informs global public health initiatives. These promote healthy successful ageing as a process of recovery, adaptation and growth in later life for people of all abilities. By contrast, there has been relatively little examination of autistic ageing from this perspective. Drawing on analyses of both gerontological and autism literature, this gap is addressed. Lifespan psychology’s potential relevance to the developmental trajectory of autism is explored, and an evidence-based theoretical framework to guide future autism research and clinical practice aimed at promoting successful autistic ageing is proposed.

Lay Abstract

What is already known about this topic?

Despite experiencing physical and mental losses as they age, most older people are satisfied with life. They have more positive than negative emotions, and this is related to wellbeing and improved quality of life. According to lifespan psychology, this unexpected pattern is evidence of successful ageing. By contrast, the potential for successful ageing in autism is not well understood. Even though it informs the World Health Organization’s guidelines on healthy ageing, there has been relatively little consideration of lifespan psychology in relation to autistic ageing. The researchers’ aim was to address this gap.

What does this article add?

This article provides a novel approach to understanding and promoting successful autistic ageing. It describes lifespan psychology and associated models and theories and how they relate to autistic experience. It also explains how and why positive outcomes like quality of life and life satisfaction are realistic goals for older autistic adults.

Implications for practice, research or policy

Lifespan psychology offers an evidence-based framework for guiding future research, policy and clinical practice to help older autistic adults achieve positive life outcomes, productivity, personal growth and wellbeing. Future research should test whether autistic older adults experience the same improvements in social and emotional wellbeing in later life as other groups in the population. This will help to make sure that health policy and clinical support are not based on negative assumptions about autistic ageing that do not reflect real-life experiences. Most importantly, this article shows that by thinking about ageing differently, there are opportunities for all autistic adults to enjoy healthy successful ageing.

Keywords: autistic ageing, developmental trajectories, emotional functioning, lifespan psychology, older adults, social functioning, successful ageing

Background

Negative social stereotypes of ageing in today’s world emphasise decline rather than the potential for growth in later life. While it is true that some loss and decline are inevitable with ageing, negative misconceptions that old age is overwhelmingly a time in life limited by impairment, loss of autonomy, loneliness, depression and an overall poor quality of life are common (Staudinger, 2015). This is even the case among health professionals who are informed by traditional medical models which couch ageing in terms of burden and disease (Bowling & Dieppe, 2005). Many of these negative stereotypes are also associated with autism. It is unsurprising then that international autism researchers have identified an urgent need to investigate autistic ageing. Both navigating co-occurring autism-specific and age-related challenges (Sonido et al., 2020) and determining how best to ensure quality of life and wellbeing for older autistic adults are of critical concern (Edelson et al., 2021; Graham Holmes et al., 2020; Howlin, 2021; Roestorf et al., 2019).

Ageing is more complex than just biological or cognitive decline and loss; it is also a period of psychosocial development, striving and contentment (Baltes and Carstensen, 2003; Eendebak & World Health Organization [WHO], 2015; Pruchno, 2021). Paradoxically, in the general population, older age is associated with higher self-rated successful ageing, characterised by psychological factors including resilience, optimism and wellbeing, despite declines in physical health and cognitive functioning (Jeste et al., 2013). Indeed, the majority of non-autistic older adults are quite satisfied with life and may experience a peak in emotional wellbeing well into their 60s and 70s (Carstensen et al., 2011), although whether this trend extends to advanced old age, when there is a higher prevalence of physical frailty and cognitive decline, is less clear (Pachana & Wahl, 2017). Nonetheless, global public health responses are shifting towards greater understanding and promotion of successful ageing (Jeste et al., 2013) with the focus as much on promoting healthy ageing through recovery, adaptation and growth in later life as it is on addressing losses (Eendebak & WHO, 2015).

It is now understood that while preventive and medical care are important aspects of maintaining health and longevity in later life, they are not enough to ensure quality of life. Strength-based psychosocial factors such as resilience, optimism and wellbeing noted above, as well as wisdom, are also important (Bowling & Iliffe, 2006; Jeste et al., 2013; Van Patten et al., 2020; WHO, 2020). Accordingly, the WHO defines healthy ageing as ‘the process of developing and maintaining the functional ability that enables wellbeing in older age’ (WHO, 2020, p. 28). Intrinsic capacity (i.e., the ‘physical and mental capacities’ an individual can draw on) as well as environmental factors (e.g., emotional and relational supports, system-level services and attitudes) together determine an individual’s functional ability ‘to be and to do what they have reason to value’ (WHO, 2020; p. 12). Intrinsic capacity is comprised of interrelated domains, including psychological and cognitive capacity, which play a role in older adults’ ability to learn, grow and make decisions in ways that enhance social and emotional growth and provide a sense of control in the pursuit of personally meaningful goals. What and how people are motivated to go about pursuing those goals constitutes the process of successful ageing (Freund et al., 2021) which in turn is closely aligned with quality of life (Chappell, 2017). Successful ageing is a lifespan developmental psychology 1 term synonymous with the WHO’s conception of ‘healthy ageing’ (Freund et al., 2021; see Box 1 for a definition). In contemporary gerontological theory and research, successful ageing is a natural progression of lifespan development and adaptation characterised by a process of gains and losses at every stage and age (Baltes & Baltes, 1990; Pruchno, 2021; Riffin & Löckenhoff, 2017; Wahl et al., 2017). This article’s discussion of the potential for successful autistic ageing is based on this lifespan psychology conceptualisation.

Box 1.

What is ‘successful ageing’?

Successful ageing is defined as a process of individual adaptive human development across the entire lifespan, characterised by the management of internal and external resources. That is, the relative maximisation and attainment of gains (e.g., positive or desired outcomes) and the avoidance of losses (e.g., negative or undesired outcomes) (Baltes, 1997; Baltes & Baltes, 1990; Baltes et al., 2006; Freund, 2008). Counterintuitively, compared to its common usage, the term ‘success’ in ageing relates not to ‘winning’ or attaining a high score, but to how well constantly changing levels of resources across the lifespan are managed according to multivariate subjective and objective indicators. These indicators incorporate individual, social, cultural, historical and environmental variation.

A lifespan developmental approach to successful ageing

From a lifespan developmental perspective, successful ageing is multidirectional and multidimensional. It is broad enough to encompass losses in physical, psychological and social functioning, disease and disability and mental health problems (Bowling & Iliffe, 2006; Jeste et al., 2011; Tesch-Römer & Wahl, 2017) as well as gains derived from adaptive coping strategies and life experiences (Baltes & Carstensen, 2003; Baltes & Baltes, 1990). Personal meaning and goals, the culmination of an individual’s unique development, experiences and social conditions, are the index for successful ageing (Bowling & Dieppe, 2005). As such, healthy ageing ‘success’ may or may not align with ideal or statistical norms but rather may represent unique functional or personal aspirations that have meaning and value to the individual (Baltes & Carstensen, 2003; WHO, 2020). This conceptualisation, and recognition of the potential value of subjective measures in assessing successful ageing across cultures and population subgroups (Jeste et al., 2013), is consistent with calls from autistic adults, advocates and researchers for a strengths-based approach to exploring autistic outcomes that evaluates autistic people’s life goals, personal experience and needs rather than objective outcomes prescribed and measured by others (Pellicano et al., 2022). It is also flexible enough to accommodate calls for consideration of the considerable diversity in autistic individuals’ functioning, social, cultural and environmental life contexts (Bottema-Beutel, 2024; Howlin, 2021; Hwang et al., 2020; Lord et al., 2022; Mailick et al., 2025; Pellicano et al., 2022; Shattuck et al., 2020; Woodman et al., 2016). This is of particular significance to autism research because it is implicit in a lifespan developmental approach that successful ageing may look different across the broad range of autistic developmental profiles. That is, it is comprehensive enough to encompass interindividual as well as intraindividual differences in intellectual functioning and language impairment, support needs, environmental strategies and resources and life goals as they evolve over the lifespan (Tesch-Römer & Wahl, 2017).

Thus, we can see that while the labels might be different, the tenets of WHO’s functional ability and intrinsic capacity described above, and the concept of successful ageing, align with the goals of autism research, as well as autistic community and individual goals. Furthermore, lifespan psychology endeavours to encompass objective and subjective measures that reflect a biopsychosocial and contextual approach to understanding and promoting successful ageing (Martin et al., 2015; Pachana & Wahl, 2017). This approach is consistent with the WHO’s International Classification of Functioning Disability and Health (ICF) Core Set for ASD, a framework for guiding holistic autism research and practice that encompasses the diversity of autistic functioning (Bölte, 2023; Bölte et al., 2021). Indeed, lifespan developmental psychology has informed much of contemporary gerontological research, as well as the WHO’s public health response to ageing. However, although lifespan psychology principles underlie some adult autism research they have not been consistently applied, and a comprehensive theoretical framework for understanding and investigating the developmental trajectory of autistic ageing has not been described.

Current approaches to understanding autism and ageing

There is not yet a unifying framework (e.g., one that encompasses individual, socio- and bio-cultural, environmental and temporal contexts) in autism research within which to understand autism in adulthood (Shattuck et al., 2020), let alone successful autistic ageing, although many have been proposed. Orthodox biomedical frameworks have been criticised for their focus on functional deficits and failure to capture – or enhance – flourishing in autistic lives (Pellicano et al., 2022). For example, Rowe and Kahn’s model of successful ageing (Rowe & Kahn, 1987, 1997), arguably the most popular in biomedical research (Bowling, 2007), has been recommended by some autistic researchers and advocates for its focus on active engagement and relationships (Perkins, 2016), but it has also been criticised for failing to flexibly encompass self-reported autistic strengths associated with successful ageing (Hwang et al., 2020). Similar concerns have been raised about its biomedical approach to understanding and supporting successful ageing in the general population. For instance, Rowe and Kahn’s model fails to accommodate ageing in individuals who are socially isolated, have chronic disease, functional impairments or disability and care needs (Tesch-Römer & Wahl, 2017). It also underestimates the value of older adults’ psychological resources to effectively cope with the inevitable challenges of old age (Bowling, 2007; Bowling & Iliffe, 2011; Tesch-Römer & Wahl, 2017).

Autism (and autistic ageing) has also been analysed from a diverse range of sociological, philosophical, cultural and activist theoretical frameworks and discourses in the past decade or so. These include (but are not limited to) social identity theory (Cooper et al., 2017, 2021; Perry et al., 2021); a positive disability identity framework (Smith & Jones, 2020); socioecology (Edelson et al., 2021; Wright, 2016; Wright et al., 2019); self-determination theory (Webster & Garvis, 2020); Nussbaum’s capabilities approach (Pellicano et al., 2022); the social model of disability (den Houting, 2019) and other sociological and social psychological perspectives which draw heavily on this model (Milton, 2014, 2012). Many of these frameworks focus on deficits and disability even as they advocate for a neuro-affirmative conceptualisation of autistic adulthood. Indeed, fundamental to a neurodiversity approach to autism research, but often lacking, is the consideration of context (Bottema-Beutel, 2024; Mailick et al., 2025). There are concerns that there is too much focus on impairments associated with individual characteristics, with interventions and treatments designed to ‘change the individual’, rather than targeting the broader social and environmental contexts that prevent autistic people from reaching their full potential (Pellicano et al., 2022). Furthermore, none adequately address the likely heterogeneity of autism in older adulthood (Hong et al., 2023) and, as autistic people themselves are concerned to know, whether ‘autistic individuals may have different developmental and prognostic trajectories associated with variable patterns of strength and abilities as well as challenges and vulnerabilities, any and all of which may evolve differentially over the life course’ (Edelson et al., 2021, p. 384).

Autistic adults are particularly vulnerable to negative life experiences which may seem inconsistent with the notion of successful ageing. Research shows that autistic adults’ experiences of unemployment, financial hardship, homelessness, and physical and emotional abuse are associated with mental health problems (Griffiths et al., 2019), and for some, there is an increased likelihood of self-harm, suicidality and reduced life expectancy (Hand et al., 2020; O’Nions et al., 2024). Case studies of late-diagnosed autistic adults confirm the unique vulnerabilities of older autistic adults when faced with critical life turning points such as loss of a life partner or retirement (James et al., 2006; Mukaetova-Ladinska et al., 2012; van Niekerk et al., 2011). But they also highlight that despite sometimes significant interpersonal and social difficulties, many of these people were able to negotiate life’s challenges relatively successfully up until these life crises. While still more prevalent than in non-autistic adults, mental health difficulties in older autistic adults seem to abate (Lever & Geurts, 2016), a finding that has been described as perhaps a result of the ‘healthy survivor effect’ (Tse et al., 2021). Yet, from a gerontological perspective, a decline in mental health issues in later life is not unexpected; there is the same pattern of lower levels of depression and anxiety in older than younger people in the general population (Blazer & Hybels, 2005; Hoertel et al., 2013; Remes et al., 2016). It is essential that autistic individuals’ vulnerabilities and susceptibilities to poor outcomes are investigated and understood. But could there be a flipside? Could it be that the ‘paradox of ageing’ – a phenomenon in the general population characterised by improved psychological wellbeing despite inevitable age-related losses (Carstensen, 2021) – extends to autistic ageing as well?

Developmental trajectories: similarities, differences and opportunities

There is potential for adaptive change in autism (Frith, 2004) – the notion is, after all, inherent in its label as a neurodevelopmental condition – but this has not been as widely recognised or acknowledged as it should be (Lord et al., 2022). Likewise, similarities in life goals and experiences between autistic adults and adults in the general population have been largely overlooked (Clarke et al., 2024). This contrasts with research on the developmental trajectories of other conditions such as attention deficit hyperactivity disorder (ADHD) and schizophrenia, which are both prevalent in autistic individuals (Vohra et al., 2017). Although these conditions are extremely heterogeneous, there are similarities too: ADHD is one of the most commonly co-occurring conditions with autism (Rosen et al., 2021), and both ADHD and schizophrenia are strongly genetically correlated with autism (Lee et al., 2019; Thapar & Rutter, 2021). Identifying parallels with other conditions can benefit autism research (Rutter, 2005), so it is worth considering that older adults with ADHD report a better quality of life in the psychological health domain than do younger adults with ADHD, are better able to engage in effective emotion regulation strategies and report a decline in the effect of ADHD symptoms in later life with the help of positive reappraisal and coping strategies (Michielsen et al., 2018; Thorell et al., 2019). Similarly, individuals with schizophrenia experience improvements with age in psychosocial functioning, wellbeing and mental health (Jeste et al., 2011; Van Patten et al., 2020), and for many, there is the perception of successful adaptation to their condition through positive coping strategies including selective engagement in supportive social networks (Cohen et al., 2020; Jeste et al., 2011).

It seems logical then to explore opportunities suggested by similarities in the developmental patterns outlined above to recent findings in autism research. For instance, a higher self-rated social quality of life in older than younger autistic adults (Yarar et al., 2022) and a strong correlation between subjective wellbeing and objective psychosocial functioning in autistic adults, both of which improved with age (Scheeren et al., 2022). However, highlighting the heterogeneity of autism, longitudinal studies suggest a more complicated story, with gains in daily living activities and social interaction from adolescence to midlife followed by deterioration in older adulthood despite improvement across the lifespan in autism symptoms (Hong et al., 2023) and no improvement in mental health or quality of life over time (Roestorf et al., 2022). Even so, there are challenges associated with longitudinal designs in autism research, ranging from sample and measurement diversity to the use of different outcome measures and analyses (Hus Bal et al., 2025). There has also been less consideration of the influence of contextual than individual factors on the developmental trajectory of autism (Mailick et al., 2025). A coherent theory-driven framework within which to position future research might help to identify common developmental patterns and processes that contribute to successful autistic ageing.

A lifespan developmental perspective has already been identified as vital in autism research (Thapar et al., 2017) because it helps identify key transition points from childhood through to adulthood that might contribute to meaningful outcomes for autistic adults (Lai & Szatmari, 2019). We argue that applying such a perspective, within a systematic framework, to understanding how older autistic adults have navigated life’s journey – the types of interpersonal relationships, environments and opportunities that have helped them do so with relative success – is an opportunity to illuminate our understanding of autistic ageing and the factors that contribute to positive outcomes or otherwise across the lifespan and into later life.

Reframing autistic ageing from a lifespan developmental perspective

Lifespan developmental psychology is represented by a broad meta-theoretical framework formulated over many years by Paul Baltes and colleagues (Baltes, 1987, 1997; Baltes & Baltes, 1990; Baltes et al., 2006) to conceptualise successful ageing in the context of adaptive change over the lifespan. Adaptive processes and strategies are informed throughout life by factors such as resilience, wellbeing and experiences of emotional distress that promote successful ageing (Charles & Carstensen, 2010) while also accommodating individual and environmental variation (Baltes & Baltes, 1990). The concept of adaptation is not new to autism and stretches as far back as Kanner’s follow-up account of the ‘social adaptation’ in adulthood of many of his original cases (Kanner et al., 1972) and Asperger’s observation that ‘adaptation to the social environment’ was evident in the majority of his cases who had developed ‘compensatory abilities to counterbalance their deficiencies’ (Asperger, 1944/1991). These early perspectives foreshadowed the relatively recent shift in autism research to framing autism as an example of human variation (Lai et al., 2020), whereby negotiating ecological barriers that inhibit or fail to accommodate diverse abilities presents challenges for autistic individuals, even if at times those challenges are not immediately discernible to others (Baron-Cohen, 2017; den Houting, 2019). This shift has given rise to an orientation away from narrow and problematically labelled ‘normative’ assessments of autistic outcomes and quality of life in later life (Edelson et al., 2021; Pellicano et al., 2022; Roestorf et al., 2019) in favour of a balance of subjective and objective benchmarks that more fully capture the heterogeneity of autism (Lord et al., 2020).

Understanding and developing approaches to successful ageing from a psychological perspective offers flexibility to accommodate aspects of ageing across a range of abilities and care needs (Tesch-Römer & Wahl, 2017), such as those represented by the autism ‘spectrum’, and is far more predictive of improving and maintaining quality of life than biomedical or health approaches (Bowling & Iliffe, 2006). For these reasons, framing the experiences of older autistic adults in the context of lifespan developmental psychology has several advantages. It can offer robust evidence-based theoretical interpretations of emerging research on autism over the lifespan and in later life; highlight multidisciplinary avenues of research to broaden our approach to understanding autistic ageing; and help identify novel clinical and support opportunities to enhance the potential for positive outcomes – successful ageing – for autistic individuals across the lifespan and into old age. We propose that lifespan psychology provides a framework that is relevant to autistic ageing because it takes account of variation in individual and interindividual developmental trajectories across the entire lifespan as well as the influence of biopsychosocial and environmental contexts on individual opportunities, constraints and capacity for adaptation (Baltes et al., 2006; Springstein et al., 2022).

According to this framework, mastery of changing developmental opportunities and constraints – that is, building and enhancing resources and capabilities – in early and middle life is critical to maximising gains and minimising losses throughout adulthood and, ultimately, successful ageing (Baltes & Carstensen, 2003; Ebner et al., 2006). It is supported by seven theoretical propositions that set out an overarching view of the nature of development and culminate in the proposal of a psychological model that outlines a systematic approach to understanding human development: the effective coordination of selection, optimisation and compensation (Baltes, 1987; Baltes et al., 2006). 2 These propositions are summarised in Table 1. Relevance to autism research, including germane (but not exhaustive) examples and evidence, is also noted to highlight parallels between autism and each proposition.

Table 1.

Lifespan developmental psychology theoretical propositions and relevance to autism research.

Proposition 1: Lifelong development
Overview Relevance to autism research
 • Human development continues across the entire lifespan.
 • Developmental change is co-constructed by biology, the environment and culture.
 • May originate at birth or at a later point of time in life.
 • Patterns of change can be diverse according to timing, direction and order.
 • Biological development, social expectations or personal actions can trigger developmental tasks.
 • Developmental tasks may be age-relevant or driven by historical or non-normative influences.
As autism is a neurodevelopmental condition, there is an expectation of development over the lifespan (Lord et al., 2022). Although Kanner and Asperger were both clear that a longitudinal approach to autism was necessary to understand its developmental trajectory over the lifespan, gradually research narrowed in on autism in childhood, with little attention paid to later life (Mukaetova-Ladinska et al., 2012). The opposite phenomenon, a disproportionate emphasis on adulthood, was levied at lifespan researchers (Baltes, 1987). Now, lifespan developmental psychology acknowledges the value in ‘reciprocal connection’ between childhood and adulthood in promoting a lifespan perspective of human development. Autism researchers are beginning to do the same.
Proposition 2: Multidirectional and multidimensional
Overview Relevance to autism research
 • In individual development there is diversity in the direction of change in ‘categories of behaviours’.
 • Both increases and decreases in functioning in the same developmental period are possible.
 • There is an interplay between external and internal factors across any number of domains of functioning that also influence development.
 • The best predictors of quality of life in successful development are multidimensional models that encompass a range of perspectives and interventions across physical, social functioning and psychological domains (Bowling & Iliffe, 2006) .
For comprehensive reviews on multidirectional and multidimensional influences in autism, see Happé & Frith (2020) and Lord and colleagues (2022). In summary, Lord and colleagues highlight the multidirectional nature of autistic ‘impairments’ as a function of the interplay between individual characteristics and environmental context. For instance, at any given stage of life, functioning may flourish in one supportive or accommodating context but be difficult or aversive in another. A longitudinal study to examine age-related change in autism symptoms, behavioural functioning and health (Hong et al., 2023) provides evidence for significant multidirectional patterns across different adult life stages. From a multidimensional perspective, Happé and Frith (2020) also map out the changing conceptualisation of autism as a dimensional rather than distinct condition that encapsulates the broad autism phenotype, an approach that might better account for differences in cognitive characteristics such as executive functioning.
Proposition 3: Development as dynamic gains and losses
Overview Relevance to autism research
 • Development is a constant process of jointly occurring growth and decline across the lifespan; one cannot happen without the other.
 • Selective adaptation engenders gains in adaptive capacity but also losses for alternative pathways and adaptive challenges.
Autism research highlights numerous examples of autistic selective adaptation, ranging from choices about the type and frequency of social interactions (e.g., preference for online interactions) and leisure activities to work environments in response to personal sociocognitive motivations and abilities, interests, talents, sensory sensitivities and mental health needs. Autistic burnout is one example of a significant loss that can lead to adaptive gains in self-knowledge and acceptance (Raymaker et al., 2020). Recommendations for individually tailored support programmes that focus on individual autistic strengths in the face of difficulties or changing contexts and expectations across the lifespan (Lord et al., 2022) correspond to the lifespan psychology proposition that development is a dynamic interplay between gains and losses.
Proposition 4: Plasticity
Overview Relevance to autism research
 • Represents the myriad possible developmental trajectories within an individual.
 • Extent of plasticity may be determined by biological or genetic factors, but there is still potential for development with appropriate tailored supports and accommodations.
 • There is intra-individuality in the potential for individual development depending on the influence of uniquely personal life experiences and conditions.
 • Lifespan psychology is concerned with both the potential (reserve capacity) of individual plasticity and the limits (constraints) of development and performance.
The potential for change in autism is explored at length by Lord and colleagues (2022). The authors describe how neurodevelopmental plasticity allows for changes in behavioural and neurodevelopmental processes over the lifespan in response to experience, interventions and environmental modifications at different stages of development. Examples include enhanced educational programmes across a range of age-appropriate settings, family and peer support, and tailored activities that address difficulties or enhance compensatory skills (Kandalaft & DeBrabander, 2021; Mason et al., 2018; Simonoff et al., 2020; Woodman et al., 2016).
Proposition 5: Paradigm of ontogenetic, historical and biocultural contextualism
Overview Relevance to autism research
 • Drawing on socioecological perspectives, environmental as well as social and biocultural contexts have a role to play in creating opportunities or limiting an individual’s developmental pathway (Baltes & Smith, 2004; Springstein et al., 2022).
 • Interactions between biocultural components contextualise individual developmental outcomes according to how they are processed, reacted to and acted upon.
 • Contextual influences are:
  1. normative age-graded:
   • related to chronological age and are relatively predictable (e.g., physical maturation or socialisation of age-graded life events).
  2. normative history-graded:
   • associated with historical time, either in terms of long-term changes over time or one-off events (e.g., war, pandemic).
  3. non-normative (i.e., idiosyncratic):
   • not associated with a predictable individual or historical developmental dimension but rather occurring in or following an idiosyncratic pattern.
 • Contextual influences include biological and cultural or environmental determinants but in different ways.
 • History-graded and non-normative influences become more dominant with age.
 • Historical and sociocultural conditions and their evolution over time influence age-related individual development.
 • Biocultural and social changes, and associated cohort effects, may also play a role in ontogenesis.
Understanding the influence of contextual factors on autistic development across the lifespan has been long overlooked (Mailick et al., 2025). However, in ageing and autism research, there is increasing acknowledgement that accounting for contextual influences (e.g., age, temporal and cohort effects) on lifespan development can help identify ways to enhance autistic outcomes (Mailick et al., 2025; Wright et al., 2019). For instance, Scheeren and colleagues (2022) speculated that contextual factors such as inclusive cultural and environmental factors may have contributed to improving psychosocial functioning over a period of 6 years in autistic participants aged 55 years and older.
Of particular relevance to autistic ageing are normative history-graded and non-normative factors and influences. The former encompasses ‘period effects’ and ‘cohort effects’ identified as contextual factors that warrant more focused attention in autism research (Mailick et al., 2025).
Changes in the naming and diagnostic criteria of autism from DSM-III through to DSM-5 are an example of a normative history-graded influence that has had a significant impact on the way autism is understood, identified and supported. Another example is the Lancet Commission’s proposal of ‘profound autism’ as an administrative term to describe autistic individuals with intellectual and language impairment who require substantial support needs across the lifespan (Lord et al., 2022).
There have also been history-graded changes in sociocultural attitudes to autism which have seen a paradigm shift in the way autism is understood: no longer as a disability but as a form of neurodiversity (Baron-Cohen, 2017), a term that reflects the notion of interindividual difference so integral to lifespan psychology. There is also an emergence of autism activism within a social justice paradigm that seeks to reframe the way autism is understood and positioned in society and challenges traditional approaches to scientific research (Ne’eman & Pellicano, 2022; Pellicano & den Houting, 2022; Pukki et al., 2022). Accordingly, research agendas are increasingly informed by autism stakeholders rather than non-autistic scientific researchers and clinicians. There is a strong focus on participatory research designs that include autistic people and other key stakeholders.
A lifespan developmental example of a history-graded influence is Kanner et al.’s (1972) conclusions from the longitudinal follow-up of his original childhood autistic cases. He noted their developmental changes in self-concept and social adaptation (which in the autism literature today is more commonly referred to as camouflaging) did ‘not run counter to the general run of the population’ (p. 32). That is, at that period of social history and psychological thought, adaptation was seen as a normative human process, and its evidence in autistic adults’ social behaviour was interpreted by Kanner as an example of how autistic people were similar to, rather than different from, the average person. Current conceptualisations of compensation in autism are more complex and autism-specific. More recent examples are the impact of the 2007–2009 recession (Hickey et al., 2024) and the COVID-19 pandemic (Scheeren et al., 2022) on autistic adults.
Non-normative events can have long-term and life-changing implications for social roles, status and self-identity and have the potential to overtax reserves and create disruption and uncertainty depending on their timing and other life events (Baltes & Smith, 2004). Such an example in autism is late-life diagnosis, which can precipitate a critical life turning point with implications such as a change in self-identity from ‘different’ to one that incorporates a diagnostic label.
Proposition 6: Multidisciplinary
Overview Relevance to autism research
 • Behavioural developmental theory would be incomplete without the integration of interdisciplinary perspectives and contexts, such as the integration of a bioecological perspective outlined above. Acknowledgement of the value of a multidisciplinary perspective in autism research is growing (Hus Bal et al., 2025; Mailick et al., 2025). For instance, bio- and socio-ecological frameworks are increasingly recommended and used in relation to addressing gaps in systems-level supports for autistic people across the lifespan (e.g., Howlin, 2021; Lai et al., 2020; Shattuck et al., 2020; Wright et al., 2019). Similarly, the benefits of applying the ICF (International Classification of Functional Disability and Health) core sets for ASD have been advocated for their holistic, evidence- and strengths-based biopsychosocial approach to autism research and support activities (Bölte, 2023; Bölte et al., 2021).
Proposition 7: Development as a process of selection, optimisation and compensation
Overview Relevance to autism research
The psychological model selection, optimisation and compensation (SOC) offers a systematic view of successful development – and ageing.
It is a process of maximising gains and minimising losses through a dynamic interaction of selection, optimisation and compensation that increases in response to the pressures of ageing. Each process has a unique role:
Selection: selectively narrowing the goals and domains to which an individual directs resources according to changes in personal needs or preferences. This process is characterised as the cardinal principle of lifespan development:
 • selection and selective adaptation are inherent to development and driven by biological, psychological, cultural and environmental factors
Optimisation: striving for greater efficacy through capitalising on existing internal and external resources. It relies on commitment, practice and effort and requires opportunity and an accommodating environmental context;
 • creates advances in development and is gradually overtaken in later life by compensation as more resources are channelled towards managing loss.
Compensation: attaining or maintaining personal goals through alternate means when capacity is lost or diminished, an important aspect of successful ageing.
The notion of maximising gains and minimising losses is not new to autism. What is maximising potential and minimising barriers (Lai et al., 2020) if not a version of the same goal in the context of autism-specific strengths and difficulties? Supporting autistic people across a range of needs and contexts is already informed by this proposition. Clinical care, childhood treatment programmes, adolescent social skill and vocational support groups and adult employment support programmes developed and tailored to maximise autistic strengths while minimising the difficulties are also consistent with this idea.
Similarly, Asperger cited the workplace as an avenue for social integration and, in some cases, significant career success in his more intellectually capable cases. He attributed this to ‘compensatory abilities to counterbalance their deficiencies’ (Asperger, 1944/1991, p. 88). The way in which he linked the adaptation of these individuals’ special abilities to ‘outstanding achievements’ in their chosen (selected) careers foreshadowed the concept of selective optimisation with compensation postulated by Baltes and Baltes (1990) as a suitable model for understanding autistic development across the lifespan and into old age. More recent exploratory research provides evidence for the applicability of lifespan developmental psychology, and the SOC model in particular, to autistic ageing (Ommensen, 2023) but notes that while social selectivity may be an adaptive emotion regulation strategy in older autistic adults, for autistic adults who are socially isolated, lonely or unable to avoid negative situations (Griffiths et al., 2019), this may be less achievable (Charles, 2010). Examining social selectivity in autistic ageing might be particularly useful for identifying specific needs and appropriate supports for older autistic adults. There is a need to longitudinally investigate theory-driven developmental processes (Clarke et al., 2024).

Lifespan developmental models and theories and their relevance to autistic ageing

Lifespan conceptual models and theories such as selective optimisation with compensation (SOC) and socioemotional selectivity theory (SST) build on Baltes’ lifespan developmental perspective of successful ageing as a process of adaptation and are supported by extensive theoretical and applied work in the broader field of gerontology. As outlined in Table 1, SOC (Baltes & Baltes, 1990) proposes that older adults adapt to developmental losses in later life by selectively prioritising goals (selection) that are personally meaningful and realistically attainable, often at the expense of less important goals. Abilities, strengths and expertise are optimised (optimisation), but when this is not possible, compensatory strategies (compensation) are used to maintain adaptive functioning and achieve life goals. Thus, the dynamic interplay of these three processes facilitates the maximisation of individual gains and minimisation of developmental losses. According to SST, a lifespan theory of motivation (Carstensen, 2021; Carstensen et al., 1999), perceived time left to live influences the selection and pursuit of social and emotional goals. That is, in response to diminishing time horizons, older adults are increasingly motivated by present-focused rather than future-oriented or knowledge-related goals and relationships. Older adults selectively narrow their social networks and interactions, and activities are structured according to emotional meaningfulness to promote stability and predictability and to minimise or avoid negative experiences and conflict. Counterintuitively, these smaller and more emotionally meaningful social networks correlate with older adults’ emotional wellbeing despite the inevitable losses associated with old age – another feature of the ‘paradox of ageing’ (Carstensen, 2021; Charles & Carstensen, 2010).

Lifespan developmental psychology also acknowledges that individual differences in, and responses to, life experience may influence ageing. Successful development depends on an individual using knowledge, gained from life experience, to decide whether a particular context (e.g., relationship or environment) is aversive or rewarding and allocating resources accordingly. However, the benefits of this form of selectivity in later life may be less possible for people who are socially isolated or lonely or who are unable to avoid negative situations (Charles, 2010; Sims et al., 2015). Social isolation and loneliness are also risk factors for older adults whose social network is too small (Charles & Carstensen, 2010), particularly if they do not have a nuclear family or at least a few close relationships (Sims et al., 2015). Chronic and pervasive life stressors, such as living with an abusive partner or a functionally limiting health condition, can also be problematic for older adults because they disrupt their ability to engage in age-related adaptive social behaviours that promote emotion regulation (Charles, 2010). As detailed above, these scenarios and other vulnerabilities are particularly relevant to autistic people (Griffiths et al., 2019).

Could SOC and SST within the broader lifespan psychology framework be compatible with understanding and promoting successful autistic ageing? Explorative qualitative research on social and emotional ageing in older autistic adults provides tentative evidence for their relevance (Ommensen, 2023). Insights from this work with autistic adults (aged 50 years and over) suggested older age brought with it resilience, relative stability in social and emotional functioning, and a generally positive outlook on life raising the tantalising possibility of a paradox of ageing in autistic adults similar to that seen in non-autistic adults. Focussed research is needed to test and build empirical evidence for SOC and SST in autism. Suggested areas of research are outlined in Box 2.

Box 2.

Research opportunities to test and build empirical evidence for SOC and SST in autism.

1. Undertake theory-driven longitudinal investigations of developmental processes (i.e., the processes of selection, compensation and optimisation) that account for person-context changes over time and identify specific goal-related behaviours
 • Align research and support programmes with developmental stage to assist autistic individuals and their communities in identifying, modifying and ultimately achieving individualised goals across the lifespan and, ultimately, successful ageing
2. Explore therapeutic advantages of reframing or broadening our conceptualisation and understanding of autistic compensation and its association with mental health problems
 • Examine autistic compensation in the context of lifespan development and the SOC model with emphasis on recognising and maintaining a balance between gains (e.g., desired benefits of social interaction) and losses (e.g., stress or emotional burnout, common in autistic individuals who use social compensatory behaviours such as masking and camouflaging) in the pursuit of personal goals
3. Explore social selectivity in autistic ageing to identify specific needs and appropriate supports
 • Conduct studies using experience sampling techniques such as ecological momentary assessments to track within-individual changes in the size and composition of autistic adults’ social networks over time to gain insight into the characteristics of older autistic adults’ personal relationships and the role they play in social and emotional experience day-by-day, goal-directed behaviour and, longer-term, overall wellbeing

Conclusion

In closing, why consider examining autism from a lifespan developmental perspective? What is to be gained from doing so, and how does it contribute to current research endeavours? There are a number of reasons. First, it is vital in scientific research, including autism research, to explore new theoretical perspectives that might open up ‘blue skies’ or new lines of investigation (Happé & Frith, 2020). As autism is a lifelong neurodevelopmental condition, it seems logical then to explore different theoretical frameworks that take a lifespan approach. Lifespan developmental psychology is such an approach. We believe that lifespan psychology, and the extensive body of evidence-based research on SOC and SST, have the potential to inspire new and more relevant avenues of autism research than biomedical models of successful ageing offer. Indeed, lifespan psychology might be useful in understanding autism not just in old age but also across the lifespan.

Second, lifespan developmental psychology is not autism-specific; therefore, there are no preconceived assumptions about functioning, ability or stereotypes. Its flexibility means it can accommodate the heterogeneity of autism and the notion that everyone is on their own developmental trajectory. As Table 1 sets out, it proposes that lifespan development is multidimensional and multidirectional and that there is the potential for change, plasticity and the possibility for both increases and decreases in functioning in the same developmental period. It characterises development as a constant interplay of gains and losses that require selective adaptation of alternative pathways to meet life challenges. It accounts for the influence of historical, sociocultural, biological and other environmental contexts on life experience and, in turn, on ontogenesis. And importantly, it echoes the catchcry of neurodiversity by acknowledging diversity as a fundamental aspect of development.

Third, lifespan psychology recognises that development does not take place solely in the childhood years. It continues beyond, and may be informed by, ‘the aftermath of childhood’ (Baltes et al., 2006, p. 644). This is highly relevant to autism research, where historically there has been proportionately less investigation of adulthood relative to the large scope of work focused on the early years (Henninger & Taylor, 2013; Howlin, 2021). It is clear there is much more work to be done here, and lifespan developmental psychology might offer a useful guiding framework within which to do this.

Fourth, diagnosis alone is not basis enough for the development of efficacious support strategies and programmes. Consideration of contextual and developmental factors is critical in both research and clinical practice to capture and best accommodate patterns of development (Mailick et al., 2025; Thapar et al., 2017). For instance, resilience is a recurring characteristic cited in autism research, but its potential importance in development is never given much prominence (Lai & Szatmari, 2019; Szatmari, 2018). Given its strong association with relatively good life outcomes and wellbeing in old age, it requires further investigation. As is the case for ageing research on other conditions such as schizophrenia (Van Patten et al., 2020), a focus on positive psychological characteristics such as resilience but also optimism, wisdom, happiness and positive self-appraisal in older autistic adults could be useful to our understanding of and ability to promote quality of life and successful autistic ageing.

Finally, there is a need to reframe negative stereotypes about old age in autism literature. Negative beliefs about ageing can be self-fulfilling and adversely shape the ageing process (Rothermund & de Paulo Couto, 2024), but they are modifiable (Huxhold & Henning, 2023). It is important to ensure that expectations about ageing are not focused only on anticipated decline and losses but also reflect the opportunities for positive life outcomes, productivity, growth and wellbeing that successful ageing can bring for all people albeit with the appropriate targeted support (Huxhold & Henning, 2023). It is proposed that lifespan developmental psychology provides an evidence-based theoretical framework to guide research and clinical practice aimed at the promotion of healthy and successful autistic ageing.

In conclusion, lifespan developmental psychology is optimistic about all human development: its primary goal is the examination and promotion of successful development, a universal goal for all individuals and necessary for ensuring quality of life. As such, the underlying theoretical propositions of lifespan psychology, and the associated models and motivational theories of SOC and SST, offer a novel approach to autism research that is consistent with the WHO’s conceptualisation of healthy ageing for people of all abilities, including older autistic adults. We propose that lifespan developmental psychology represents a relevant psychological framework for conceptualising successful ageing in autism and informing future research in this area.

Acknowledgments

The authors most gratefully acknowledge the older autistic adults who consented to participate in the broader programme of work of which this theoretical analysis forms a part. Their positivity was inspirational and (theoretically) inspiring.

1.

As this report is about lifespan developmental psychology, it uses ‘lifespan’, the term preferred by developmental psychologists (Baltes, 1987), rather than ‘life course’, which predominates in sociology (Mayer, 2003) and has been adopted by some autism researchers who discuss ageing and autism from a socioecological perspective (e.g., Shattuck et al., 2020; Wright, 2016). ‘Lifespan developmental psychology’ is often shortened to ‘lifespan psychology’ (Baltes et al., 2006). The two terms are used interchangeably in this article.

2.

For a more detailed exploration of the historical, philosophical and theoretical background of lifespan developmental psychology, which is beyond the scope of this article, see Baltes (1987, 1997) and Baltes et al. (1999, 2006).

Footnotes

Ethical Considerations: Not applicable.

Consent to participate: Not applicable.

Consent for publication: Not applicable.

Author contributions: Berthine Ommensen: Conceptualisation; Investigation; Writing – original draft; Writing – review & editing.

Tony Attwood: Conceptualisation; Writing – review & editing.

Nancy A. Pachana: Conceptualisation; Writing – review & editing.

Kate Sofronoff: Conceptualisation; Writing – review & editing.

Funding: The authors received no financial support for the research, authorship and/or publication of this article.

The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

Data availability statement: Not applicable.

References

  1. Asperger H. (1991). ‘Autistic psychopathy’ in childhood (Frith U., Trans.). In Frith U. (Ed.), Autism and Asperger syndrome (pp. 37–92). Cambridge University Press. 10.1017/CBO9780511526770.002. (Original work published 1944) [DOI] [Google Scholar]
  2. Baltes M. M., Carstensen L. L. (2003). The process of successful aging: Selection, optimization, and compensation. In Staudinger U. M., Lindenberger U. (Eds.), Understanding human development: Dialogues with lifespan psychology (pp. 81–104). Springer. 10.1007/978-1-4615-0357-6_5 [DOI] [Google Scholar]
  3. Baltes P. B. (1987). Theoretical propositions of life-span developmental psychology: On the dynamics between growth and decline. Developmental Psychology, 23(5), 611–626. 10.1037/0012-1649.23.5.611 [DOI] [Google Scholar]
  4. Baltes P. B. (1997). On the incomplete architecture of human ontogeny: Selection, optimization, and compensation as foundation of developmental theory. The American Psychologist, 52(4), 366–380. 10.1037/0003-066X.52.4.366 [DOI] [PubMed] [Google Scholar]
  5. Baltes P. B., Baltes M. M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In Baltes P. B., Baltes M. M. (Eds.), Successful aging: Perspectives from the behavioral sciences. Cambridge University Press. 10.1017/CBO9780511665684 [DOI] [Google Scholar]
  6. Baltes P. B., Lindenberger U. M., Staudinger U. (2006). Life span theory in developmental psychology. In Damon W., Lerner R. M. (Eds.), Handbook of child psychology: (Theoretical models of human development). (Vol. 1). Wiley-Blackwell. 10.1002/9780470147658 [DOI] [Google Scholar]
  7. Baltes P. B., Smith J. (2004). Lifespan psychology: From developmental contextualism to developmental biocultural co-constructivism. Research in Human Development, 1(3), 123–144. 10.1207/s15427617rhd0103_1 [DOI] [Google Scholar]
  8. Baltes P. B., Staudinger U. M., Lindenberger U. (1999). Lifespan psychology: Theory and application to intellectual functioning. Annual Review of Psychology, 50(1), 471–507. 10.1146/annurev.psych.50.1.471 [DOI] [PubMed] [Google Scholar]
  9. Baron-Cohen S. (2017). Editorial perspective: Neurodiversity–A revolutionary concept for autism and psychiatry. The Journal Child Psychology and Psychiatry, 58(6), 744–747. 10.1111/jcpp.12703 [DOI] [PubMed] [Google Scholar]
  10. Blazer D. G., Hybels C. F. (2005). Origins of depression in later life. Psychological Medicine, 35(9), 1241–1252. 10.1017/S0033291705004411 [DOI] [PubMed] [Google Scholar]
  11. Bölte S. (2023). A more holistic approach to autism using the International Classification of Functioning: The why, what, and how of functioning. Autism: The International Journal of Research and Practice, 27(1), 3–6. 10.1177/13623613221136444 [DOI] [PubMed] [Google Scholar]
  12. Bölte S., Lawson W. B., Marschik P. B., Girdler S. (2021). Reconciling the seemingly irreconcilable: The WHO’s ICF system integrates biological and psychosocial environmental determinants of autism and ADHD. BioEssays, 43(9), e2000254. 10.1002/bies.202000254 [DOI] [PubMed] [Google Scholar]
  13. Bottema-Beutel K. (2024). Putting autism research in social contexts. Autism, 28(7), 1597–1601. 10.1177/13623613241245642 [DOI] [PubMed] [Google Scholar]
  14. Bowling A. (2007). Aspirations for older age in the 21st century: What is successful aging? The International Journal of Aging and Human Development, 64(3), 263–297. 10.2190/L0K1-87W4-9R01-7127 [DOI] [PubMed] [Google Scholar]
  15. Bowling A., Dieppe P. (2005). What is successful ageing and who should define it? British Medical Journal, 331(7531), 1548–1551. 10.1136/bmj.331.7531.1548 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Bowling A., Iliffe S. (2006). Which model of successful ageing should be used? Baseline findings from a British longitudinal survey of ageing. Age and Ageing, 35(6), 607–614. 10.1093/ageing/afl100 [DOI] [PubMed] [Google Scholar]
  17. Bowling A., Iliffe S. (2011). Psychological approach to successful ageing predicts future quality of life in older adults. Health Qual Life Outcomes, 9(1), 13–13. 10.1186/1477-7525-9-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Carstensen L. L. (2021). Socioemotional selectivity theory: The role of perceived endings in human motivation. The Gerontologist, 61, 1188–1196. 10.1093/geront/gnab116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Carstensen L. L., Isaacowitz D. M., Charles S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54(3), 165–181. 10.1037/0003-066X.54.3.165 [DOI] [PubMed] [Google Scholar]
  20. Carstensen L. L., Turan B., Scheibe S., Ram N., Ersner-Hershfield H., Samanez-Larkin G. R., Nesselroade J. R. (2011). Emotional experience improves with age: Evidence based on over 10 years of experience sampling. Psychology and Aging, 26(1), 21–33. 10.1037/a0021285 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Chappell N. L. (2017). Aging and quality of life. In Pachana N. A. (Ed.), Encyclopedia of geropsychology (pp. 201–205). Springer. 10.1007/978-981-287-080-3_3-1 [DOI] [Google Scholar]
  22. Charles S. T. (2010). Strength and vulnerability integration: A model of emotional well-being across adulthood. Psychological Bulletin, 136(6), 1068–1091. 10.1037/a0021232 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Charles S. T., Carstensen L. L. (2010). Social and emotional aging. Annual Review of Psychology, 61, 383–409. 10.1146/annurev.psych.093008.100448 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Clarke E., Singer H., Schiltz H., Lord C. (2024). Autism at 30: Conceptualizations for adult research and clinical practice. The American Psychologist, 81(1), 68–81. 10.1037/amp0001452 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Cohen C. I., Freeman K., Ghoneim D., Vengassery A., Ghezelaiagh B., Reinhardt M. M. (2020). Advances in the conceptualization and study of schizophrenia in later life: 2020 update. Clinics in Geriatric Medicine, 36(2), 221–236. 10.1016/j.cger.2019.11.004 [DOI] [PubMed] [Google Scholar]
  26. Cooper K., Mandy W., Butler C., Russell A. (2021). The lived experience of gender dysphoria in autistic adults: An interpretative phenomenological analysis. Autism: The International Journal of Research and Practice, 26(4), 963–974. 10.1177/13623613211039113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Cooper K., Smith L. G. E., Russell A. (2017). Social identity, self-esteem, and mental health in autism. European Journal of Social Psychology, 47(7), 844–854. 10.1002/ejsp.2297 [DOI] [Google Scholar]
  28. den Houting J. (2019). Neurodiversity: An insider’s perspective. Autism: The International Journal of Research and Practice, 23(2), 271–273. 10.1177/1362361318820762 [DOI] [PubMed] [Google Scholar]
  29. Ebner N. C., Freund A. M., Baltes P. B. (2006). Developmental changes in personal goal orientation from young to late adulthood: From striving for gains to maintenance and prevention of losses. Psychology and Aging, 21(4), 664–678. 10.1037/0882-7974.21.4.664 [DOI] [PubMed] [Google Scholar]
  30. Edelson S. M., Nicholas D. B., Stoddart K. P., Bauman M. B., Mawlam L., Lawson W. B., Wright S. D. (2021). Strategies for research, practice, and policy for autism in later life: A report from a Think Tank on aging and autism. Journal of Autism and Developmental Disorders, 51(1), 382–390. 10.1007/s10803-020-04514-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Eendebak R., & World Health Organization. (2015). World report on ageing and health. World Health Organization. [Google Scholar]
  32. Freund A. M. (2008). Successful aging as management of resources: The role of selection, optimization, and compensation. Research in Human Development, 5(2), 94–106. 10.1080/15427600802034827 [DOI] [Google Scholar]
  33. Freund A. M., Hennecke M., Brandstätter V., Martin M., Boker S. M., Charles S. T., Fishbach A., Hess T. M., Heckhausen J., Gow A. J., Isaacowitz D. M., Klusmann V., Lachman M. E., Mayr U., Oettingen G., Robert P., Röcke C., Rothermund K., Scholz U., Zadeh R. S. (2021). Motivation and healthy aging: A heuristic model. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 76(Suppl. 2), S97–S104. 10.1093/geronb/gbab128 [DOI] [PubMed] [Google Scholar]
  34. Frith U. (2004). Emanuel Miller lecture: Confusions and controversies about Asperger syndrome. Journal of Child Psychology and Psychiatry, 45(4), 672–686. 10.1111/j.1469-7610.2004.00262.x [DOI] [PubMed] [Google Scholar]
  35. Graham Holmes L., Zampella C. J., Clements C., McCleery J. P., Maddox B. B., Parish-Morris J., Miller J. S. (2020). A lifespan approach to patient-reported outcomes and quality of life for people on the autism spectrum. Autism Research, 13(6), 970–987. 10.1002/aur.2275 [DOI] [PubMed] [Google Scholar]
  36. Griffiths S., Allison C., Kenny R., Holt R., Smith P., Baron-Cohen S. (2019). The Vulnerability Experiences Quotient (VEQ): A study of vulnerability, mental health and life satisfaction in autistic adults. Autism Research, 12(10), 1516–1528. 10.1002/aur.2162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Hand B. N., Angell A. M., Harris L., Carpenter L. A. (2020). Prevalence of physical and mental health conditions in Medicare-enrolled, autistic older adults. Autism: The International Journal of Research and Practice, 24(3), 755–764. 10.1177/1362361319890793 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Happé F., Frith U. (2020). Annual research review: Looking back to look forward–changes in the concept of autism and implications for future research. The Journal of Child Psychology and Psychiatry, 61(3), 218–232. 10.1111/jcpp.13176 [DOI] [PubMed] [Google Scholar]
  39. Henninger N. A., Taylor J. L. (2013). Outcomes in adults with autism spectrum disorders: A historical perspective. Autism, 17(1), 103–116. 10.1177/1362361312441266 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Hickey E. J., DaWalt L. S., Bolt D., Hong J., Song J., Lounds Taylor J., Mailick M. R. (2024). Impact of the great recession on adults with autism and their mothers. American Journal on Intellectual and Developmental Disabilities, 129(1), 26–40. 10.1352/1944-7558-129.1.26 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Hoertel N., Le Strat Y., Gorwood P., Béra-Potelle C., Schuster J.-P., Manetti A., Limosin F. (2013). Why does the lifetime prevalence of major depressive disorder in the elderly appear to be lower than in younger adults? Results from a national representative sample. Journal of Affective Disorders, 149(1), 160–165. https://doi.org/https://doi.org/10.1016/j.jad.2013.01.017 [DOI] [PubMed] [Google Scholar]
  42. Hong J., DaWalt L. S., Taylor J. L., Haider A., Mailick M. (2023). Autism through midlife: Trajectories of symptoms, behavioral functioning, and health. Journal of Neurodevelopmental Disorders, 15(1), Article 36. 10.1186/s11689-023-09505-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Howlin P. (2021). Adults with autism: Changes in understanding since DSM-III. Journal of Autism and Developmental Disorders, 51, 4291–4308. 10.1007/s10803-020-04847-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Hus Bal V., Szatmari P., Georgiades S., Gentles S. J., Girault J., Howlin P., Lai M.-C., Carter Leno V., Lord C., Madgett K., Sheinkopf S. J., Simonoff E., Williams Z. J., Zwaigenbaum L., Halladay A. (2025). Methodological challenges and opportunities when studying the course of autism. Autism: The International Journal of Research and Practice, 29, 2618–2631. 10.1177/13623613251341012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Huxhold O., Henning G. (2023). The risks of experiencing severe loneliness across middle and late adulthood. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 78(10), 1668–1675. 10.1093/geronb/gbad099 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Hwang Y. I., Foley K.-R., Trollor J. N. (2020). Aging well on the autism spectrum: An examination of the dominant model of successful aging. Journal of Autism and Developmental Disorders, 50(7), 2326–2335. 10.1007/s10803-018-3596-8 [DOI] [PubMed] [Google Scholar]
  47. James I. A., Mukaetova-Ladinska E., Reichelt F. K., Briel R., Scully A. (2006). Diagnosing Aspergers syndrome in the elderly: A series of case presentations. International Journal of Geriatric Psychiatry, 21(10), 951–960. 10.1002/gps.1588 [DOI] [PubMed] [Google Scholar]
  48. Jeste D. V., Savla G. N., Thompson W. K., Vahia I. V., Glorioso D. K., Martin A. S., Depp C. A. (2013). Association between older age and more successful aging: Critical role of resilience and depression. American Journal of Psychiatry, 170(2), 188–196. 10.1176/appi.ajp.2012.12030386 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Jeste D. V., Wolkowitz O. M., Palmer B. W. (2011). Divergent trajectories of physical, cognitive, and psychosocial aging in schizophrenia. Schizophrenia Bulletin, 37(3), 451–455. 10.1093/schbul/sbr026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Kandalaft M. R., DeBrabander K. M. (2021). Brief report: Changes in quality of life and social functioning during vocational program – a pilot study of autistic adults. Journal of Autism and Developmental Disorders, 51(10), 3774–3781. 10.1007/s10803-020-04821-9 [DOI] [PubMed] [Google Scholar]
  51. Kanner L., Rodriguez A., Ashenden B. (1972). How far can autistic children go in matters of social adaptation? Journal of Autism and Childhood Schizophrenia, 2(1), 9–33. 10.1007/BF01537624 [DOI] [PubMed] [Google Scholar]
  52. Lai M.-C., Anagnostou E., Wiznitzer M., Allison C., Baron-Cohen S. (2020). Evidence-based support for autistic people across the lifespan: Maximising potential, minimising barriers, and optimising the person–environment fit. Lancet Neurology, 19(5), 434–451. 10.1016/S1474-4422(20)30034-X [DOI] [PubMed] [Google Scholar]
  53. Lai M.-C., Szatmari P. (2019). Resilience in autism: Research and practice prospects. Autism, 23(3), 539–541. 10.1177/1362361319842964 [DOI] [PubMed] [Google Scholar]
  54. Lee P. H., Anttila V., Won H., Feng Y.-C. A., Rosenthal J., Zhu Z., Smoller J. W. (2019). Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders. Cell, 179(7), 1469–1482.e1411. 10.1016/j.cell.2019.11.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Lever A. G., Geurts H. M. (2016). Psychiatric co-occurring symptoms and disorders in young, middle-aged, and older adults with autism spectrum disorder. Journal of Autism and Developmental Disorders, 46(6), 1916–1930. 10.1007/s10803-016-2722-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Lord C., Brugha T. S., Charman T., Cusack J., Dumas G., Frazier T., Jones E. J. H., Jones R. M., Pickles A., State M. W., Taylor J. L., Veenstra-VanderWeele J. (2020). Autism spectrum disorder. Nature Reviews. Disease Primers, 6(1), Article 5. 10.1038/s41572-019-0138-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Lord C., Charman T., Havdahl A., Carbone P., Anagnostou E., Boyd B., McCauley J. B. (2022). The Lancet Commission on the future of care and clinical research in autism. The Lancet, 399(10321), 271–334. 10.1016/S0140-6736(21)01541-5 [DOI] [PubMed] [Google Scholar]
  58. Mailick M., Bennett T., DaWalt L. S., Durkin M. S., Forbes G., Howlin P., Lord C., Zaidman-Zait A., Zwaigenbaum L., Bal V., Bishop S., Chiang C., DiMartino A., Freitag C. M., Georgiades S., Hollocks M., Lai M., Maenner M. J., Powell P. S., Halladay A. (2025). Expanding research on contextual factors in autism research: What took us so long? Autism Research, 18(4), 710–716. 10.1002/aur.3312 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Martin P., Kelly N., Kahana B., Kahana E., Wilcox B., Wilcox D. C., Poon L. (2015). Defining successful aging: A tangible or elusive concept? The Gerontologist, 55, 14–25. 10.1093/geront/gnu044 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Mason D., McConachie H., Garland D., Petrou A., Rodgers J., Parr J. R. (2018). Predictors of quality of life for autistic adults. Autism Research, 11(8), 1138–1147. 10.1002/aur.1965 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Mayer K. U. (2003). The Sociology of the Life Course and Lifespan Psychology: Diverging or Converging Pathways? In Staudinger U. M., Lindenberger U. (Eds.), Understanding Human Development (pp. 463–481). Springer US. 10.1007/978-1-4615-0357-6_23 [DOI] [Google Scholar]
  62. Michielsen M., de Kruif J. T. C. M., Comijs H. C., van Mierlo S., Semeijn E. J., Beekman A. T. F., Kooij J. J. S. (2018). The burden of ADHD in older adults: A qualitative study. Journal of Attention Disorders, 22(6), 591–600. 10.1177/1087054715610001 [DOI] [PubMed] [Google Scholar]
  63. Milton D. E. M. (2012). On the ontological status of autism: The ‘double empathy problem’. Disability & Society, 27(6), 883–887. 10.1080/09687599.2012.710008 [DOI] [Google Scholar]
  64. Milton D. E. M. (2014). Autistic expertise: A critical reflection on the production of knowledge in autism studies. Autism: The International Journal of Research and Practice, 18(7), 794–802. 10.1177/1362361314525281 [DOI] [PubMed] [Google Scholar]
  65. Mukaetova-Ladinska E. B., Perry E., Baron M., Povey C. (2012). Ageing in people with autistic spectrum disorder. International Journal of Geriatric Psychiatry, 27(2), 109–118. 10.1002/gps.2711 [DOI] [PubMed] [Google Scholar]
  66. Ne’eman A., Pellicano E. (2022). Neurodiversity as politics. Human Development, 66(2), 149–157. 10.1159/000524277 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Ommensen B. (2023). A life lived in the shadows: Social and emotional functioning in older autistic adults and the potential for successful ageing. The University of Queensland, School of Psychology. 10.14264/7a5a023 [DOI] [Google Scholar]
  68. O’Nions E., Lewer D., Petersen I., Brown J., Buckman J. E. J., Charlton R., Cooper C., El Baou Cé, Happé F., Manthorpe J., McKechnie D. G. J., Richards M., Saunders R., Zanker C., Mandy W., Stott J. (2024). Estimating life expectancy and years of life lost for autistic people in the UK: A matched cohort study. The Lancet Regional Health. Europe, 36, Article 100776. 10.1016/j.lanepe.2023.100776 [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Pachana N. A., Wahl H.-W. (2017). Healthy aging: Current and future frameworks and developments. In Reference module in neuroscience and biobehavioral psychology. Elsevier, Inc. 10.1016/B978-0-12-818697-8.00054-6 [DOI] [Google Scholar]
  70. Pellicano E., den Houting J. (2022). Annual research review: Shifting from ‘normal science’ to neurodiversity in autism science. Journal of Child Psychology and Psychiatry, 63(4), 381–396. 10.1111/jcpp.13534 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Pellicano E., Fatima U., Hall G., Heyworth M., Lawson W., Lilley R., Stears M. (2022). A capabilities approach to understanding and supporting autistic adulthood. Nature Reviews Psychology. 10.1038/s44159-022-00099-z [DOI] [PMC free article] [PubMed]
  72. Perkins E. A. (2016). Quality-of-life outcomes of aging adults with autism and their families. In Wright S. D. (Ed.), Autism spectrum disorder in mid and later life (pp. 397–406). Jessica Kingsley Publishers. [Google Scholar]
  73. Perry E., Mandy W., Hull L., Cage E. (2021). Understanding camouflaging as a response to autism-related stigma: A social identity theory approach. Journal of Autism and Developmental Disorders. 10.1007/s10803-021-04987-w [DOI] [PMC free article] [PubMed]
  74. Pruchno R. (2021). Successful aging: An obscure but obvious construct. In Schaie K. W., Willis S. L. (Eds.), Handbook of the psychology of aging (9th ed., pp. 301–318). Academic Press. 10.1016/B978-0-12-816094-7.00008-8 [DOI] [Google Scholar]
  75. Pukki H., Bettin J., Outlaw A. G., Hennessy J., Brook K., Dekker M., Yoon W.-H. (2022). Autistic Perspectives on the future of clinical autism research. Autism in Adulthood, 4(2), 93–101. 10.1089/aut.2022.0017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Raymaker D. M., Teo A. R., Steckler N. A., Lentz B., Scharer M., Delos Santos A., Nicolaidis C. (2020). ‘Having all of your internal resources exhausted beyond measure and being left with no clean-up crew’: Defining autistic burnout. Autism in Adulthood, 2(2), 132–143. 10.1089/aut.2019.0079 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Remes O., Brayne C., Linde R., Lafortune L. (2016). A systematic review of reviews on the prevalence of anxiety disorders in adult populations. Brain and Behavior, 6(7), e00497. 10.1002/brb3.497 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Riffin C. A., Löckenhoff C. E. (2017). Life span developmental psychology. In Pachana N. A. (Ed.), Encyclopedia of geropsychology (pp. 1397–1408). Springer. [Google Scholar]
  79. Roestorf A., Bowler D. M., Deserno M. K., Howlin P., Klinger L., McConachie H., Geurts H. M. (2019). ‘Older adults with ASD: The consequences of aging’. Insights from a series of special interest group meetings held at the International Society for Autism Research 2016–2017. Research in Autism Spectrum Disorders, 63, 3–12. 10.1016/j.rasd.2018.08.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Roestorf A., Howlin P., Bowler D. M. (2022). Ageing and autism: A longitudinal follow-up study of mental health and quality of life in autistic adults. Frontiers in Psychology, 13, 741213. 10.3389/fpsyg.2022.741213 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Rosen N. E., Lord C., Volkmar F. R. (2021). The diagnosis of autism: From Kanner to DSM-III to DSM-5 and beyond. Journal of Autism and Developmental Disorders. 10.1007/s10803-021-04904-1 [DOI] [PMC free article] [PubMed]
  82. Rothermund K., de Paula Couto M. C. P. (2024). Age stereotypes: Dimensions, origins, and consequences. Current Opinion in Psychology, 55, Article 101747. 10.1016/j.copsyc.2023.101747 [DOI] [PubMed] [Google Scholar]
  83. Rowe J. W., Kahn R. L. (1987). Human aging: Usual and successful. Science, 237(4811), 143149. [DOI] [PubMed] [Google Scholar]
  84. Rowe J. W., Kahn R. L. (1997). Successful aging. The Gerontologist, 37(4), 433–440. 10.1093/geront/37.4.433 [DOI] [PubMed] [Google Scholar]
  85. Rutter M. (2005). Autism research: Lessons from the past and prospects for the future. Journal of Autism and Developmental Disorders, 35(2), 241–257. 10.1007/s10803-004-2003-9 [DOI] [PubMed] [Google Scholar]
  86. Scheeren A. M., Buil J. M., Howlin P., Bartels M., Begeer S. (2022). Objective and subjective psychosocial outcomes in adults with autism spectrum disorder: A 6-year longitudinal study. Autism: The International Journal of Research and Practice, 26(1), 243–255. 10.1177/13623613211027673 [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Shattuck P. T., Garfield T., Roux A. M., Rast J. E., Anderson K., Hassrick E. M., Kuo A. (2020). Services for adults with autism spectrum disorder: A systems perspective. Current Psychiatry Reports, 22(3), 13–13. 10.1007/s11920-020-1136-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Simonoff E., Kent R., Stringer D., Lord C., Briskman J., Lukito S., Baird G. (2020). Trajectories in symptoms of autism and cognitive ability in autism from childhood to adult life: Findings from a longitudinal epidemiological cohort. Journal of the American Academy of Child & Adolescent Psychiatry, 59(12), 1342–1352. 10.1016/j.jaac.2019.11.020 [DOI] [PubMed] [Google Scholar]
  89. Sims T., Hogan C. L., Carstensen L. L. (2015). Selectivity as an emotion regulation strategy: Lessons from older adults. Current Opinion in Psychology, 3, 80–84. https://doi.org/https://doi.org/10.1016/j.copsyc.2015.02.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Smith O., Jones S. C. (2020). ‘Coming out’ with autism: Identity in people with an Asperger’s diagnosis after DSM-5. Journal of Autism and Developmental Disorders, 50(2), 592–602. 10.1007/s10803-019-04294-5 [DOI] [PubMed] [Google Scholar]
  91. Sonido M., Arnold S., Higgins J., Hwang Y. I. J. (2020). Autism in later life: What is known and what is needed? Current Developmental Disorders Reports, 7(2), 69–77. 10.1007/s40474-020-00192-z [DOI] [Google Scholar]
  92. Springstein T., Growney C. M., English T. (2022). Supporting robust research on adult emotional development by considering context. Psychology and Aging, 37(1), 97–110. 10.1037/pag0000669 [DOI] [PubMed] [Google Scholar]
  93. Staudinger U. (2015). Images of aging: Outside and inside perspectives. Annual Review of Gerontology and Geriatrics, 35. 10.1891/0198-8794.35.187 [DOI] [Google Scholar]
  94. Szatmari P. (2018). Risk and resilience in autism spectrum disorder: A missed translational opportunity? Developmental Medicine and Child Neurology, 60(3), 225–229. 10.1111/dmcn.13588 [DOI] [PubMed] [Google Scholar]
  95. Tesch-Römer C., Wahl H.-W. (2017). Toward a more comprehensive concept of successful aging: Disability and care needs. The Journals of Gerontology: Series B, 72(2), 310–318. 10.1093/geronb/gbw162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Thapar A., Cooper M., Rutter M. (2017). Neurodevelopmental disorders. The Lancet Psychiatry, 4(4), 339–346. 10.1016/S2215-0366(16)30376-5 [DOI] [PubMed] [Google Scholar]
  97. Thapar A., Rutter M. (2021). Genetic advances in autism. Journal of Autism and Developmental Disorders, 51(12), 4321–4332. 10.1007/s10803-020-04685-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Thorell L. B., Holst Y., Sjöwall D. (2019). Quality of life in older adults with ADHD: Links to ADHD symptom levels and executive functioning deficits. Nordic Journal of Psychiatry, 73(7), 409–416. 10.1080/08039488.2019.1646804 [DOI] [PubMed] [Google Scholar]
  99. Tse V. W. S., Lei J., Crabtree J., Mandy W., Stott J. (2021). Characteristics of older autistic adults: A systematic review of literature. Review Journal of Autism and Developmental Disorders, 9(2), 184–207. 10.1007/s40489-021-00238-x [DOI] [Google Scholar]
  100. van Niekerk M. E. H., Groen W., Vissers C. T. W. M., van Driel-de Jong D., Kan C. C., Oude Voshaar R. C. (2011). Diagnosing autism spectrum disorders in elderly people. International Psychogeriatrics, 23(05), 700–710. https://doi.org/doi:10.1017/S1041610210002152 [DOI] [PubMed] [Google Scholar]
  101. Van Patten R. E., Lee E. V., Jeste D. (2020). Positive Psychiatry and successful aging in people with schizophrenia. In Hantke N., Etkin A., O’Hara R. (Eds.), Handbook of Mental Health and Aging (Third Edition). (pp. 149–160). Academic Press. 10.1016/B978-0-12-800136-3.00013-2 [DOI] [Google Scholar]
  102. Vohra R., Madhavan S., Sambamoorthi U. (2017). Comorbidity prevalence, healthcare utilization, and expenditures of Medicaid enrolled adults with autism spectrum disorders. Autism: The International Journal of Research and Practice, 21(8), 995–1009. 10.1177/1362361316665222 [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Wahl H.-W., Siebert J. S., Tauber B. (2017). Psychological theories of successful aging. In Pachana N. A. (Ed.), Encyclopedia of geropsychology (pp. 1931–1940). Springer. 10.1007/978-981-287-082-7_108 [DOI] [Google Scholar]
  104. Webster A. A., Garvis S. (2020). What does success mean for autistic men? A narrative exploration of self-determination. Autism and Developmental Language Impairments, 5, 239694152094552. 10.1177/2396941520945522 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Woodman A. C., Smith L. E., Greenberg J. S., Mailick M. R. (2016). Contextual factors predict patterns of change in functioning over 10 years among adolescents and adults with autism spectrum disorders. Journal of Autism and Developmental Disorders, 46(1), 176–189. 10.1007/s10803-015-2561-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. World Health Organization. (2020). Decade of healthy ageing: Baseline report. World Health Organization. https://apps.who.int/iris/handle/10665/338677 [Google Scholar]
  107. Wright S. D. (Ed.). (2016). Autism spectrum disorder in mid and later life. Jessica Kingsley Publishers. [Google Scholar]
  108. Wright S. D., Wright C. A., D’Astous V., Wadsworth A. M. (2019). Autism aging. Gerontology & Geriatrics Education, 40(3), 322–338. 10.1080/02701960.2016.1247073 [DOI] [PubMed] [Google Scholar]
  109. Yarar E. Z., Roestorf A., Spain D., Howlin P., Bowler D., Charlton R., Happé F. (2022). Aging and autism: Do measures of autism symptoms, co-occurring mental health conditions, or quality of life differ between younger and older autistic adults? Autism Research, 15, 1482–1494. 10.1002/aur.2780 [DOI] [PubMed] [Google Scholar]

Articles from Autism are provided here courtesy of SAGE Publications

RESOURCES