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A new model of reserve, the Sensory, Emotional, and Cognitive Reserve (SEC) model, has been recently proposed, but so far this model has not been operationalized in instruments to evaluate the different domains of the reserve. This study introduces the SEC reserve inventory (SECri) along with preliminary data obtained from a study involving 57 adults, aged 35 and older. The SECri assesses the SEC domains using specific proxies: (a) sensory reserve (SR) through sensory acuity and sensory perception proxies; (b) emotional reserve (ER) through life events, resilience, and emotional regulation proxies; and (c) cognitive reserve (CR) through education, occupation, socioeconomic status, bilingualism, leisure activities, and personality traits proxies. Key features of SECri include self- and informant-report forms, fine-grained response scales, and the evaluation of reserve development across the lifespan. Findings on the acceptability, convergent validity between SECri domains and validated tests for the same constructs, internal consistency of each domain, and predictive validity of Montreal Cognitive Assessment scores support further research with this inventory. Future studies should consider determining SECri's psychometric properties in clinical and subclinical conditions to evaluate its prognostic value in cases of neurocognitive decline.

The evaluation of Activities of Daily Living (ADL) has become a critical issue in neuropsychology, but existing instruments for evaluating ADL have some limitations. This work aims to propose a new instrument to evaluate ADL, the ADL Inventory (ADLI), for which we present preliminary data., The ADLI was developed based on a comprehensive model of the stages of test development and following a combined framework of the World Health Organization's International Classification of Functioning, Disability, and Health and the American Occupational Therapy Association models., Besides sociodemographic information, ADLI includes 144 items, organized into four sections: (a) basic ADL; (b) IADL; (c) advanced ADL; and (d) factors influencing functionality. The main characteristics of ADLI are: having self- and informant-report forms; including items focused on different sensory and neurocognitive functions; individualizing the progression along items considering the person's functionality; considering the impact of several factors on functionality; and using a large response scale. Preliminary data of predictive and convergent validity for ADLI are presented. The preliminary study comprised 15 older adults. The Addenbrooke's Cognitive Examination - III, the Barthel Index, and the Instrumental Activities of Daily Living (IADL) Scale were applied to determine the predictive and convergent validity of ADLI.

Background: The concept of ecological validity (EV) in neuropsychological interventions (NI) has been consistently advocated, but there is a lack of reviews focused on how EV is operationalized in NI programmes. This review aims to address this gap by exploring the outcome measures more commonly used for assessing EV and to understand the main characteristics of programmes with good EV., Method: A literature search was conducted to identify studies that examined the EV of NI programmes, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the Cochrane Collaboration Guidelines., Results: A total of twenty-seven studies were included in this review. Among these, only three studies explicitly described the procedures used to assess EV. Additionally, almost half of the studies assumed that interventions had good EV based on the characteristics of the programmes. The inconsistent assessment of EV of NI programmes prevented the identification of specific characteristics of programmes demonstrating good EV., Conclusion: This systematic review reveals a significant gap in the literature concerning the operationalization of EV within the field of NI. Further research is required to establish a consistent definition of EV in the context of NI and to develop criteria for its effective operationalization.

Objectives: The main objectives of this study are to identify the dimensions of Ecological Validity (EV) within the definitions of this concept, understand how they are operationalized in neurocognitive tests, and propose a checklist for EV attributes in neurocognitive tests., Method: A systematized review was combined with content analysis of the selected papers, using the inductive method. We analyzed 82 studies on the EV of neurocognitive tests, 19 literature reviews and 63 empirical studies. Based on this review, we identified the relevant criteria for evaluating EV., Results: EV is a multidimensional concept with two main dimensions: representativeness and generalization. Representativeness involves the subdimensions simplicity-complexity and artificial-natural and several criteria organized on a continuum from low EV to high EV. Generalization is dependent on representativeness and is influenced by different cognitive and non-cognitive factors. We propose six stages for operationalizing EV, from defining the objectives of the neurocognitive assessment to the methodology for scoring and interpreting the results., Conclusion: This systematized review helps to operationalize the concept of EV by providing a tool for evaluating and improving EV while developing new tests. Further studies with a longitudinal design can compare the predictive value of tests with higher versus lower EV-checklist scores.Key pointsQuestion: Understand the definition of EV, its dimensions and subdimensions, how EV is operationalized in neurocognitive tests and propose a checklist for the EV attributes of neurocognitive tests.Findings: The primary findings were that representativeness and generalization are the main dimensions of EV. Representativeness involves several subdimensions, whereas generalization is dependent on representativeness and is influenced by cognitive and non-cognitive factors. We provided an EV-checklist organized into six parts.Importance: The EV-checklist can be used to guide the development of ecologically valid neurocognitive tests and/or assess the EV of existing ones.Next steps: Examine the predictive value of tests that have higher EV-checklist scores.