The stakes of the question are hard to overstate. Executive function skills develop rapidly during childhood, and performance on executive function assessments in early life predicts academic achievement, social competence and behavioral adjustment years later. Meta-analyses cited by the authors link early executive function to reading and science outcomes, to long-term academic attainment and even to reduced risk of psychopathology. Because these skills correlate with so many positive life outcomes, they have become one of the most attractive targets for intervention in developmental science, education policy and public health. Programs ranging from preschool curricula to computerized brain training have been launched on the premise that executive function is highly malleable. Yet the review notes that the experimental evidence for far transfer, meaning improvements that carry over from trained tasks to real-world outcomes, remains weak, and meta-analytic work on cognitive training generally concludes that gains rarely generalize beyond the trained tasks themselves.

The authors begin by examining how executive function is defined and measured, and they identify this as a foundational problem. In the classic latent-variable framework, executive function decomposes into inhibition, working memory updating and shifting, with a common underlying factor. But in young children, tasks designed to tap these components often fail to show the clean separations seen in adults, and performance depends heavily on how familiar children are with task demands, labels and materials. Studies showing that familiar labels help children engage proactive control, or that multidimensional reasoning boosts performance on the dimensional change card sort task, suggest that what looks like a general executive capacity is often knowledge and context bound. The review argues that executive function is best understood as a set of skills that are shaped by experience and deployed in specific situations, rather than as a fixed, domain-general cognitive muscle that any training program can strengthen.

Measurement is where this conceptual ambiguity becomes a practical crisis. The most common assessments, including conflict tasks such as the flanker and day-night paradigms, card sorting tasks and delayed gratification measures, were largely developed in Western, educated, industrialized, rich and democratic populations. Cross-cultural work reveals striking variability: cognitive flexibility patterns differ across cultural settings, and studies in Jordan, Kenya, Brazil, South Africa and The Gambia show that task performance and its environmental predictors do not map neatly onto the models built in North American and European samples. Parent and teacher rating scales, such as the Behavior Rating Inventory of Executive Function, capture yet another construct, one that correlates imperfectly with laboratory performance measures. The authors highlight emerging alternatives, including group-based classroom assessments and observational measures that embed executive function demands in real-world activities, which may better capture how regulation skills operate where children actually live and learn.

Turning to socioeconomic status, the review acknowledges one of the most consistent findings in the literature: children from lower socioeconomic backgrounds tend to score lower on executive function assessments, an association confirmed by meta-analysis. But the authors are emphatic that this correlation is causally ambiguous and often context-dependent. Socioeconomic status is a composite construct encompassing income, education, occupation and neighborhood resources, and critics cited in the review argue that treating it as a unitary variable obscures the specific mechanisms at work. Longitudinal studies point to candidate mediators, including cognitive stimulation, language development and environmental predictability, with neuroimaging work suggesting that cognitive stimulation is linked to neural function supporting working memory. Genetic confounding also looms large, as studies of maternal education and prenatal smoking show that inherited factors account for a substantial share of the apparent environmental effects. The review warns against deficit framing, urging researchers to consider how children’s skills may represent adaptations to the specific environments they inhabit.

The home environment and parenting emerge as a second major experiential domain, and one where the evidence is similarly suggestive but rarely decisive. Household chaos, characterized by noise, crowding and unpredictable routines, is associated with poorer executive function, an effect documented in meta-analysis and partially buffered by high-quality childcare. Home literacy environments, parental scaffolding, autonomy support and attachment security all show positive associations with children’s self-regulation in numerous studies spanning the United States, China, Chile, Korea and Côte d’Ivoire. Experimental work adds encouraging signal: an experimental study found that autonomy-supportive interactions improved preschoolers’ self-regulation, and a randomized clinical trial showed that an early parenting intervention accelerated inhibitory control development among children involved with child protective services. Still, the review stresses that most of this evidence is correlational, that effect sizes are typically modest, and that gene-environment correlation means children both shape and are shaped by their families in ways that standard designs cannot untangle.

Schooling, the third focal domain, offers some of the strongest quasi-experimental evidence that experience shapes executive function. School cutoff designs, which compare children born just before and just after enrollment deadlines, indicate that a year of schooling improves cognitive control and even alters associated patterns of brain activation. Differential growth in working memory across school-year and summer months suggests that classrooms actively promote executive function development rather than merely tracking maturation. The quality of teacher-child interactions matters as well, with meta-analytic evidence linking classroom interaction quality to children’s executive function gains. Curricular interventions tell a more complicated story. Programs such as Tools of the Mind generated early enthusiasm, but large rigorous evaluations have produced mixed results, while games-based approaches such as Red Light, Purple Light have shown benefits for school readiness in some low-income samples, including trials in Kenya. The Chicago School Readiness Project stands out for demonstrating longer-term impacts on behavioral regulation that persisted into late adolescence.

Why, then, has the intervention literature so often fallen short of its promise? The review offers a synthesis: interventions have typically treated executive function as a generic capacity to be exercised like a muscle, rather than asking what specific experiences, in specific contexts, help specific children regulate their behavior toward specific goals. The authors draw on a growing contextual perspective in developmental science, one that recognizes culture as constitutive rather than incidental. Culturally organized practices such as autonomy and helping, Indigenous frameworks of connectedness and culturally meaningful forms of self-regulation all suggest that the skills valued and cultivated in one community may differ from those assumed by standardized assessments and imported curricula. Ethical concerns raised by anthropologists about parenting interventions exported to low- and middle-income countries reinforce the point that interventions must be grounded in local meanings, values and strengths rather than framed around supposed deficits.

The review closes by outlining four key directions for future work. First, researchers need better conceptualizations of environmental quality and experience, moving beyond coarse socioeconomic categories to measure the specific features of environments, such as cognitive stimulation, predictability and stress, that plausibly shape developing regulation skills. Second, the field must improve the measurement of executive function itself, developing contextually grounded assessments that are validated across cultural and linguistic groups and that capture regulation as it unfolds in classrooms, homes and everyday activities. Third, studies must be designed to support stronger causal inference, leveraging natural experiments, randomized designs and genetically informed methods while remaining ecologically valid. Fourth, the authors call for greater attention to diversity and equity in who is studied, how findings are interpreted and who benefits from the resulting interventions, including genuine partnerships with communities in majority-world settings.

For a field with such high public stakes, the message of this review is both sobering and generative. Executive function skills matter enormously, they are demonstrably linked to experience, and yet the science of exactly how experience builds them remains incomplete in ways that have limited the success of interventions designed to improve children’s life chances. By demanding sharper concepts, better measures and culturally informed designs, the authors are not dismissing decades of work but redirecting it toward the questions that matter most. If the next generation of research can specify how experiences get under the skin to strengthen children’s regulation of thought and action, the promise of executive function science, from closing achievement gaps to designing smarter educational policies, may finally be kept.

Subject of Research: How experience such as socioeconomic status, parenting and schooling shapes the development of childhood executive function skills

Article Title: Understanding how experience supports the development of executive function skills

Article References: Doebel, S., Chevalier, N., Lipina, S. J., Rabii, V., & Ahmed, S. F. (2026). Understanding how experience supports the development of executive function skills. Nature Reviews Psychology. https://doi.org/10.1038/s44159-026-00614-6

Image Credits: AI Generated

DOI: 10.1038/s44159-026-00614-6

Keywords: executive function, child development, socioeconomic status, parenting, home environment, schooling, cognitive control, self-regulation, working memory, inhibitory control, cognitive flexibility, intervention

The research team was led by Stuart J. H. Biddle of the University of Southern Queensland and Daniel P. Bailey of Brunel University of London, working alongside colleagues from Brunel University of London, the University of Bedfordshire, University College London, the University of Leicester, and Curtin University. The collaboration brought together expertise spanning physical activity research, behavior change science, diabetes care, and physiotherapy. The team went beyond simply measuring whether participants sat less. As part of a process evaluation embedded within the trial, they asked the 35 intervention participants directly about the barriers they encountered and the strategies they attempted while trying to break up their sitting time. This qualitative lens is critical, because interventions that fail often fail for reasons that accelerometer data alone cannot explain. Numbers can show that sitting time did or did not fall, but only participants can articulate why, and those reasons are exactly what future interventions need to address.

The scale of the qualitative dataset was substantial. Using template analysis, a structured qualitative method in which coding frameworks are developed and refined against the data in iterative passes, the researchers analyzed 44 statements describing barriers, contributed by 18 participants, and 99 statements describing attempted behavior change strategies, contributed by 17 participants. Crucially, these statements were drawn from two separate time periods, three months and six months into the intervention, allowing the team to check whether the same themes held steady over time or shifted as the program progressed. This dual time-point design matters, because behavior change is rarely static. What feels manageable in the early weeks of a program can become harder as novelty fades, and obstacles that seem minor at first can accumulate into reasons for disengagement. By comparing themes across both windows, the researchers could assess whether the experience of trying to sit less was consistent or evolving.

What emerged was a remarkably consistent picture of obstruction. The barrier themes were similar at both the three-month and six-month assessments, falling into four broad categories. The first was fatigue and sleep, with participants reporting feelings such as drowsiness that made remaining upright or active feel unappealing. Tiredness is a familiar companion of diabetes, and it directly competes with the energy required to stand and move. The second was disability and health problems, reflecting the reality that many people with type 2 diabetes also manage other health conditions that make standing and moving more difficult. The third category was work-related barriers, encompassing both the demands of work tasks and the physical constraints of work facilities, such as desk-bound roles and environments not configured for standing or walking. The fourth was contextual barriers, a theme capturing social and environmental circumstances, from household routines to surroundings that simply did not invite movement.

These findings matter because sedentary behavior is not merely the absence of exercise. High volumes of sitting are associated with an increased risk of adverse health outcomes, and that risk is understood to be especially concerning for individuals with type 2 diabetes, whose metabolic systems are already compromised. Designing interventions that target sitting time, rather than only structured exercise, has therefore attracted growing attention in diabetes care. Yet designing such interventions requires knowing what participants are actually up against, day after day. An intervention can prescribe regular breaks from sitting with perfect logic, but if participants are battling drowsiness, painful health conditions, inflexible jobs, and unsupportive environments, the prescription collides with reality. The process evaluation was designed to surface exactly that collision, giving researchers a map of the terrain any future program would need to navigate.

The strategy themes reported by participants offered a counterpart to the barrier analysis, and they clustered around three behavioral approaches. The first involved ways to break up sitting itself, deliberately interrupting prolonged periods in a chair with other behaviors. The second centered on increasing incidental physical activity, the unplanned, everyday movement woven into daily routines. The third involved adding in purposeful physical activity, intentional exercise layered on top of daily life. Together, these strategies reveal that participants understood the core message of the intervention: the goal is substitution, replacing sitting with alternative postures and activities, rather than simply exercising more while otherwise remaining sedentary. That distinction is central to the science of sedentary behavior, because a person can meet exercise guidelines and still accumulate long, uninterrupted stretches of sitting that carry their own risks.

The alignment between barriers and strategies is instructive. Where fatigue and drowsiness undermined efforts to stand, participants could respond with low-effort movement rather than strenuous activity, suggesting that interventions should calibrate expectations to energy levels. Where work environments enforced sitting, participants attempted to carve out movement within constraints, a finding that points toward workplace-level environmental changes as complementary supports. And where health conditions limited mobility, the emphasis on gentle, incidental movement offered a realistic pathway that pure exercise prescriptions often miss. The fact that the same strategy themes appeared across both assessment periods suggests that participants had internalized a flexible repertoire rather than a rigid set of rules, adapting the same underlying principles to whatever circumstances they faced.

The study’s design also carries lessons for the field. As a feasibility trial, it was built to evaluate whether a remotely delivered sedentary behavior intervention could work in this population, and the process evaluation shows why such evaluations are indispensable. Remotely delivered interventions remove geographic barriers to participation but also strip away in-person supervision, leaving participants to translate guidance into action on their own. Understanding that participants gravitate toward breaking up sitting and boosting incidental activity, and that they repeatedly collide with fatigue, health limitations, and unsupportive environments, gives future trial designers concrete targets for refinement. Rather than guessing at what might help, designers can build directly on the barriers and strategies that participants themselves identified, strengthening the bridge between intervention content and everyday life.

The consistency of themes across the three- and six-month data points is arguably the study’s most reassuring signal. Behavior change research has long grappled with the problem of decay, in which strategies that work initially fade as novelty wears off. Here, the same core barriers and the same core strategies persisted across both assessment windows, suggesting that the intervention’s framework gave participants a stable vocabulary of tactics even as they continued to face familiar obstacles. Stability, in this context, is not stagnation; it indicates that the behavioral targets were durable and comprehensible enough to remain salient half a year into the program. It also suggests that the barriers participants faced were not transient inconveniences but ongoing features of their lives, which reinforces the case for interventions that plan for them from the outset rather than treating them as surprises.

For clinicians, public health practitioners, and the millions of people managing type 2 diabetes, the takeaways are refreshingly concrete. Reducing sitting time does not require heroic workouts; it requires substituting other behaviors for sitting, inserting short bouts of standing and movement into desk-bound days, and layering both incidental and purposeful physical activity on top of daily routines. But the study is equally clear that individual effort operates within a web of individual and contextual constraints: tired bodies, health conditions, rigid workplaces, and environments built for chairs. Future interventions that anticipate these barriers and equip participants with a repertoire of substitution strategies are more likely to succeed and, in doing so, to chip away at the sitting-driven risks that shadow life with type 2 diabetes. The authors suggest that such information may prove useful in future interventions to reduce sedentary behavior, and this study provides a detailed, participant-centered foundation for building them.

Subject of Research: Sedentary behaviour change: barriers and strategies reported by individuals with type 2 diabetes during a multi-component intervention

Article Title: Sedentary behaviour change: barriers and strategies reported by individuals with type 2 diabetes during a multi-component intervention

Article References: Biddle, S. J. H., Brierley, M. L., Chater, A. M., Edwardson, C. L., Castle, E., Hunt, E. R., & Bailey, D. P. (2026). Sedentary behaviour change: barriers and strategies reported by individuals with type 2 diabetes during a multi-component intervention. Journal of Activity, Sedentary and Sleep Behaviors. https://doi.org/10.1186/s44167-026-00112-3

Image Credits: AI Generated

DOI: 10.1186/s44167-026-00112-3

Keywords: Sedentary, behaviour, change, barriers, strategies, reported, individuals, type, diabetes, during, multi-component, intervention