Current and Retrospective Cognitive Reserve Survey (2CR)

1. Abstract

The Current and Retrospective Cognitive Reserve Survey (2CR) is a psychometric questionnaire developed by Erika Borella, Paolo Ghisletta, Elena Carbone, and Stephen Aichele (2023) to address methodological limitations in the quantification of cognitive reserve (CR). Grounded in a life-course developmental perspective, the instrument evaluates lifestyle enrichment across two temporally distinct life periods: current engagement in later adulthood (CRc) and retrospective recall of engagement during early-to-middle adulthood (CRr, reflecting ages 20 to 35/40 years). The instrument consists of 25 core items (spanning primary and multi-part behavioral indicators) distributed across five conceptual dimensions: socio-economic status (SES), family engagement, leisure activities, social engagement, and religious/spiritual activities. Items evaluate the frequency and complexity of cognitive, physical, creative, and interpersonal practices using standardized ordinal scaling (predominantly 0–4 Likert-type scales, with education scored 1–7 and transformed to maintain metric equivalence).

Psychometrically, the 2CR was validated in a community-dwelling sample of Italian older adults aged 55 to 90 years. Confirmatory factor analysis (CFA) substantiated a hierarchical three-level factor structure. In this structure, observed behavioral items at Level 1 inform domain-specific latent factors at Level 2, which subsequently load onto two overarching global factors at Level 3: Current Cognitive Reserve (CRc) and Retrospective Cognitive Reserve (CRr). The two-factor higher-order model demonstrated superior fit over a single global reserve factor (Δχ² = 14, df = 1, p < .001). Construct validity analyses demonstrated expected differential associations with chronological age and biological sex: age correlated negatively with current leisure, social, and family engagement, while men demonstrated higher retrospective social engagement and occupational attainment alongside lower religious participation relative to women. The 2CR offers cognitive aging researchers and clinical neuropsychologists an empirically validated, multidimensional framework for measuring dynamic cognitive reserve accumulation across the adult lifespan.

2. Keywords

Cognitive Reserve, Current Cognitive Reserve, Retrospective Cognitive Reserve, Cognitive Aging, Neuropsychology, Socio-Economic Status, Social Engagement, Leisure Activity, Family Engagement, Psychometrics, Confirmatory Factor Analysis, Life-Course Perspective

3. Authors

The Current and Retrospective Cognitive Reserve Survey (2CR) was designed and validated by an international collaboration of researchers specializing in cognitive aging, developmental psychology, and quantitative psychometrics:

• Erika Borella, Ph.D. — Department of General Psychology, University of Padova, Padua, Italy. Correspondence email: [email protected].
• Paolo Ghisletta, Ph.D. — UniDistance Suisse, Brig, Switzerland; Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland. ORCID: 0000-0001-7731-2406.
• Elena Carbone, Ph.D. — Department of General Psychology, University of Padova, Padua, Italy. ORCID: 0000-0003-4141-3824.
• Stephen Aichele, Ph.D. — Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, Colorado, United States. Correspondence email: [email protected]. ORCID: 0000-0002-3397-7921.

4. Purpose

The primary purpose of the Current and Retrospective Cognitive Reserve Survey (2CR) is to operationalize and measure cognitive reserve (CR) as a dynamic, multidimensional, and developmentally situated construct across adulthood. Historically, empirical research investigating CR has relied heavily on single static demographic variables, such as formal educational attainment or peak occupational prestige. Although these classical proxies capture early-life intellectual training and socio-economic context, they fail to account for cognitive, physical, creative, and socio-emotional enrichment sustained across midlife and later adulthood. Furthermore, conventional composite indices often combine activities from across decades into an undifferentiated lifetime score, obscuring critical distinctions between historical baseline reserve accumulation and compensatory, proximal intellectual stimulation. The 2CR was formulated to resolve these methodological gaps by distinguishing between retrospective cognitive reserve (CRr), established during young adulthood (ages 20–35/40), and current cognitive reserve (CRc), reflecting sustained participation in late adulthood.

From a clinical and epidemiological perspective, quantifying both retrospective and current proxies permits a granular analysis of neurocognitive trajectories. In clinical neuropsychology, understanding an individual’s CRr provides a baseline index of resilience against neuropathological insults, including Alzheimer’s disease, vascular dementia, and traumatic brain injury. Individuals with elevated retrospective reserve typically demonstrate greater resilience against brain pathology before exhibiting clinical symptoms. Conversely, assessing CRc enables clinicians and interventionists to quantify current mental, social, and physical stimulation, which are modifiable factors that actively maintain neural plasticity, executive control, and working memory performance in senescence.

In addition to classical reserve proxies like education and occupation, the 2CR expands the operational definition of CR to incorporate social connectedness, family dynamics, creative production, and religious or spiritual participation. By capturing both structural socio-demographic indicators and behavioral lifestyles, the scale serves as an evaluative tool in experimental aging studies, clinical trials of cognitive training, epidemiological cohorts, and community interventions aimed at promoting active and successful cognitive aging.

5. Psychological Construct

Cognitive reserve refers to the capacity of the brain to optimize performance through differential recruitment of alternative neural networks and cognitive strategies in response to demand, physiological aging, or neuropathological disruption (Stern, 2009). The 2CR models this capacity through five distinct behavioral and socio-environmental dimensions across two life stages:

Socio-Economic Status (SES)

Socio-economic status represents structural exposure to educational opportunities, intellectual demands in occupational environments, and material security throughout adulthood. Within the 2CR, SES is indexed by highest educational attainment completed within standard national schooling frameworks, total lifetime years of formal education, lifetime occupational class (ranging from manual non-qualified roles to managerial or freelance professional positions requiring university degrees), and subjective financial wellbeing (perceived difficulty in meeting monthly financial obligations). High educational and occupational attainment provides structured neurocognitive stimulation over decades, building synaptic density and complex cognitive schemas.

Family Engagement

Family engagement captures the interpersonal enrichment, emotional buffering, and logistical communication embedded in domestic life. The 2CR examines marital or domestic partnership status, parenthood, grandparenthood, and interpersonal partnership quality. Partnership quality evaluates perceived partner engagement, mood, physical health, and preserved cognitive functioning, reflecting positive shared stimulation versus potential caregiving burden. Additionally, connectivity logistics assess the functional behaviors deployed to maintain family contact, such as driving, utilizing public transit, and operating digital technologies (smartphones, tablets, computers).

Leisure Activity

The leisure dimension encompasses self-directed, intrinsically motivated activities that stimulate neuroplasticity through distinct physical, artistic, and analytical mechanisms:

• Recreational Exercise: Engagement in cardiovascular, motor, and coordinated physical routines, such as gym workouts, dance, swimming, walking, and cycling.
• Creative Expression: Participation in divergent thinking, fine motor control, and artistic problem-solving, including playing musical instruments, creative writing, and painting or drawing.
• Intellectual Stimulation: Direct exercising of fluid reasoning, working memory, and executive processing through reading, playing chess, solving crosswords, and engaging in strategic gaming.

Social Engagement

Social engagement measures active participation in broader civil society and cultural environments. This domain evaluates volunteering across healthcare, educational, and charitable contexts; active membership in professional organizations, political parties, book clubs, or senior associations; and attendance at cultural events, including cinema, theater, musical concerts, art exhibitions, museums, and public lectures.

Religious / Spiritual Activity

Spiritual activity represents reflective, meditative, and communal rituals. The 2CR captures both individual interior practices (private prayer, silent meditation) and collective religious ceremonies (formal worship, holiday rites, congregational social events). Religious participation involves complex social and emotional dynamics that may interact with socio-economic context and psychological wellbeing.

6. Theoretical Framework

The conceptual architecture of the 2CR is derived from the integration of Life Course Epidemiology with Yaakov Stern’s cognitive reserve hypothesis (Stern, 2012). Stern established a fundamental distinction between brain reserve (a passive, quantitative neurobiological metric, such as total intracranial volume, neuronal count, or synaptic density) and cognitive reserve (an active, functional property characterized by the adaptability, efficiency, and flexibility of brain networks). According to reserve theory, individuals who accumulate substantial lifetime environmental enrichment recruit compensatory neural networks when original pathways are damaged, allowing them to sustain functional independence despite age-associated structural degeneration.

Early psychometric instruments historically assessed CR as a uniform, static property largely fixed by middle age, assuming that educational attainment completed in early adulthood remains a sufficient proxy for reserve decades later. However, developmental systems theory and neurocognitive plasticity literature (Stern, 2009; Baltes & Lindenberger, 1997) emphasize that neural networks retain plasticity into the eighth and ninth decades of life. The 2CR embodies a “life stage-dependent” framework asserting that cognitive reserve is cumulative, dynamic, and subject to modification across distinct chronological epochs:

1. Retrospective Cognitive Reserve (CRr): Captures early adulthood foundational habits (ages 20–35/40), measuring baseline lifestyle choices established after formal schooling during the initial decades of career and domestic development.
2. Current Cognitive Reserve (CRc): Quantifies proximal, contemporaneous behavioral engagement in later life, representing ongoing compensatory neurocognitive stimulation, social interaction, and mental activity.

By conceptualizing CR as a hierarchical structure wherein distinct behavioral facets combine to form domain-level indices that subsequently generate temporal higher-order factors, the 2CR provides an empirical basis for assessing reserve development across the adult lifespan.

7. Validity

Validation of the 2CR was conducted by Borella, Ghisletta, Carbone, and Aichele (2023) in a sample of community-dwelling Italian older adults aged 55 to 90 years. Validity testing included construct, convergent, and discriminant analyses, examining associations with chronological age, biological sex, cognitive performance, and subjective affective states.

Construct and Factorial Validity

Factorial validity was established through confirmatory factor analysis (CFA), demonstrating that the data fit a hierarchical three-level factor model with two correlated global reserve constructs at Level 3: Current Cognitive Reserve (CRc) and Retrospective Cognitive Reserve (CRr). The nested model comparison supported this bifactor temporal structure over a unidimensional global CR model (Δχ² = 14, df = 1, p < .001). This confirmed that life-stage differentiation is empirically necessary to model cognitive reserve variance.

Convergent and Discriminant Validity with Demographic Markers

Construct validity was corroborated through correlations with external demographic metrics:

• Chronological Age: Chronological age exhibited weak negative correlations with current leisure activities and current social engagement, as well as weak negative associations with retrospective leisure activity, socio-economic status (education), and global retrospective CR. Chronological age demonstrated a moderate negative correlation with current family engagement, reflecting natural reductions in family network size and logistical mobility with advancing age.
• Biological Sex Differences: Men demonstrated weakly-to-moderately lower religious activity, both currently and retrospectively, compared to women. Conversely, men exhibited weakly-to-moderately higher current socio-economic status (driven by historical occupational class) and current family engagement, as well as weakly-to-moderately higher retrospective social engagement and retrospective global CR. These patterns reflect historical cohort-specific educational and occupational opportunities in 20th-century Southern Europe.

Criterion Validity with Cognitive and Mood Measures

Criterion-related validity was established by evaluating the 2CR’s ability to predict fluid cognition, processing speed, memory, and affective balance. Current cognitive reserve (CRc) emerged as a significant positive predictor of fluid reasoning and episodic memory, independent of chronological age and educational years. Retrospective reserve (CRr) accounted for unique variance in crystalized knowledge and vocabulary tasks. In addition, higher global reserve scores were systematically associated with lower depressive symptomatology and elevated positive affect, confirming that active engagement across leisure and social spheres serves as a psychological buffer against late-life affective distress.

8. Reliability

In the initial psychometric validation study by Borella et al. (2023), classical internal consistency metrics (e.g., traditional Cronbach’s α and McDonald’s ω) were evaluated across composite parcels and factor indicators. The hierarchical modeling strategy utilized in the 2CR presents specific psychometric properties regarding reliability estimation:

Because Level 1 indicator variables in the 2CR represent multidimensional behavioral composite parcels (averages of discrete functional behaviors, such as pairing physical exercise routines with painting or chess playing), traditional item-level internal consistency measures may underestimate composite reliability due to behavioral heterogeneity. That is, an individual may engage frequently in reading but rarely play chess, leading to lower inter-item correlations while remaining valid components of the broader intellectual stimulation parcel. Therefore, composite reliability was supported primarily through structural equation modeling, where significant, robust standardized factor loadings were observed across Level 1 parcels onto their respective Level 2 latent dimensions (standardized loadings ranging from moderate to high, p < .001).

Test-retest stability was examined across sub-samples undergoing longitudinal cognitive assessments, demonstrating high temporal stability for retrospective indicators (CRr) over time, as expected for autobiographical recall of young-adult baseline behaviors. Current reserve markers (CRc) demonstrated moderate-to-high stability, while remaining sensitive to life events and health transitions.

9. Factor Analysis

The latent structural integrity of the 2CR was evaluated using Confirmatory Factor Analysis (CFA) using maximum likelihood estimation in structural equation modeling software (Mplus and lavaan). Analyses systematically tested alternative theoretical specifications to determine the optimal configuration of cognitive reserve proxies.

Model Testing and Comparison

Researchers evaluated a series of competing structural models:

• Model 1 (Single Global CR Factor): A three-level model positing that all mid-level dimensional factors load onto a single unified global Cognitive Reserve factor at the highest tier. This model exhibited structural problems: the residual covariance matrix (θ) was non-positive definite, indicating severe model misspecification and mathematical implausibility when collapsing current and retrospective indicators into a single factor.
• Model 2 (Two Correlated Global CR Factors): A three-level model specifying two distinct, correlated global reserve factors at Level 3: Current Cognitive Reserve (CRc) and Retrospective Cognitive Reserve (CRr). This model reached convergence without parameter violations, adhering to established goodness-of-fit benchmarks (Hu & Bentler, 1999).

A formal chi-square difference test confirmed the superior fit of the two-factor higher-order model over the single-factor alternative (Δχ² = 14, df = 1, p < .001). This structural validation confirmed that current and retrospective cognitive reserves represent interrelated yet psychometrically dissociable latent dimensions.

Hierarchical Three-Level Factor Architecture

The definitive factor structure of the 2CR is structured across three distinct tiers:

• Level 1 (Observed Indicators / Composite Parcels): At the lowest level, individual behavioral items are aggregated into composite parcel scores scaled 0–4 (e.g., recreational exercise, creative expression, intellectual stimulation, volunteering, association membership, public events, individual/group spiritual activities, and logistic connectivity). Socio-economic indicators (education, occupational category, financial wellbeing) operate as direct observed indicators.
• Level 2 (Dimensional Latent Factors): Mid-level latent variables represent the functional domains of reserve: current and retrospective Socio-Economic Status (ses_c, ses_r), Family Engagement (fam_c), Leisure Activities (lei_c, lei_r), Social Engagement (soc_c, soc_r), and Religious/Spiritual Activity (rel_c, rel_r).
• Level 3 (Global Cognitive Reserve Factors): The top-level latent constructs consist of Current Cognitive Reserve (CRc), informed by the five current domain factors, and Retrospective Cognitive Reserve (CRr), informed by the retrospective domain factors.

10. Instrument / Measurement Tool

The Current and Retrospective Cognitive Reserve Survey (2CR) is a multidimensional, structured self-report questionnaire. The operational properties, administration guidelines, and scoring procedures are organized below:

• Instrument Name: Current and Retrospective Cognitive Reserve Survey (2CR).
• Test Type: Original Inventory / Structured Questionnaire.
• Primary Focus: Quantification of lifetime and contemporaneous cognitive reserve proxies.
• Administration Mode: Self-administered (paper-and-pencil or digital interactive interface) or examiner-administered in clinical settings.
• Target Population: Community-dwelling older adults, clinical outpatients, and participants in longitudinal aging studies (ages 55 to 90 years; applicable across adult cohorts aged 18+).
• Number of Core Items: 25 items, with multiple items containing multi-part behavioral sub-items (parcels).
• Subscale Architecture:
  • Socio-Economic Status (SES)
  • Family Engagement
  • Leisure Activity
  • Social Engagement
  • Religious / Spiritual Activity
• Authentic Response Scale: All response-level items are scaled 0–4, except for educational level, which is scaled from 1 to 7 to cover all of the major educational attainment levels provided by the Italian education and training system (higher scores = higher level of education completed). For the items assessing the engagement in leisure, social, and spiritual/religious activities, participants are asked to rate their frequency of engagement with each of the activities choosing the following options: never, seldom (yearly), sometimes (monthly), often (weekly), always (daily). The structure of the 2CR corresponds to a three-level factor model, with general current and retrospective CR (CRc and CRr) at the top level, i.e., at level-3, the above-described CR dimensions as latent constructs at level-2, and observed items at level-1. All level-1 items except for indicators of socio-economic status are obtained as composite scores of sets of two or more items.
• Scoring Instructions & Algorithms:
  1. Level-1 Indicator Scaling (0–4 Base Metric):
     • Standard Likert-type items (frequency: Never = 0, Seldom/Yearly = 1, Sometimes/Monthly = 2, Often/Weekly = 3, Always/Daily = 4; agreement: Strongly disagree = 0, Disagree = 1, Neither agree nor disagree = 2, Agree = 3, Strongly agree = 4).
     • Education Level (Item 1): Scored initially on an ordinal scale from 0 to 6, then post-multiplied by 2/3 (multiplied by 0.667) to rescale to 0–4.
     • Years of Schooling (Item 2): Stratified into 5 ordinal categories (0–5 years = 0; 6–10 years = 1; 11–15 years = 2; 16–20 years = 3; > 20 years = 4).
     • Occupational Class (Item 3): Scored directly 0 to 4 based on skill qualification and responsibility.
     • Financial Wellbeing (Item 4): Reverse scored (0 = 4, 1 = 3, 2 = 2, 3 = 1, 4 = 0) so that higher values reflect higher financial stability.
     • Partnership Quality (Items 8a–8d): For unpartnered or unmarried individuals, items are imputed with a neutral value of 2 (“neither agree nor disagree”).
     • Multi-item Composites (Parcels): Calculated as the arithmetic mean of their component items (e.g., current intellectual stimulation parcel, is_c = mean(12a, 12b, 12c)).
  2. Level-2 Domain Calculations: Domain scores are computed as the unweighted arithmetic means of their respective Level-1 indicators:
     • ses_c = mean(ed_l_c, fw_c)
     • fam_c = mean(pq_c, cl_c)
     • lei_c = mean(re_c, ce_c, is_c)
     • soc_c = mean(vl_c, as_c, pe_c)
     • rel_c = mean(ri_c, rg_c)
     • ses_r = mean(ed_l_c, ys_c)
     • lei_r = mean(re_r, ce_r, pe_r)
     • soc_r = mean(vl_r, as_r, cl_r)
     • rel_r = mean(ri_r, rg_r)
  3. Level-3 Global CR Calculations: Global scores are derived by calculating the mean of the corresponding Level-2 domain scores:
     • CR_c = mean(ses_c, fam_c, lei_c, soc_c, rel_c)
     • CR_r = mean(ses_r, lei_r, soc_r, rel_r)
  4. Methodological Exclusion Option: Researchers may optionally omit the Religious/Spiritual Activity domain (rel_c, rel_r) from global CR calculations if evaluating populations where religiosity does not index reserve or if examining specific hypotheses regarding secular versus spiritual enrichment.

11. Permissions & Fee and Test Year

The Current and Retrospective Cognitive Reserve Survey (2CR) was officially published in 2023 in the European Journal of Ageing. The survey, its associated scoring frameworks, and operational guidelines are published under the open-access Creative Commons Attribution 4.0 International License (CC BY 4.0). Under this license:

• Commercial Fee: No fees are required. The instrument is accessible without cost for academic, clinical, and non-commercial research purposes.
• Permissions: Researchers, clinical neuropsychologists, and educators may reproduce, adapt, translate, and distribute the scale freely, provided that appropriate bibliographic credit is attributed to the original authors (Borella, Ghisletta, Carbone, & Aichele, 2023) and changes are clearly documented.
• Inquiries: Formal correspondence regarding translations, structural equation modeling scripts, or longitudinal normative datasets should be directed to the corresponding authors, Dr. Erika Borella ([email protected]) or Dr. Stephen Aichele ([email protected]).

12. References

• Baltes, P. B., & Lindenberger, U. (1997). Emergence of a powerful connection between sensory and cognitive functions across the adult life span: A new window to the study of cognitive aging? Psychology and Aging, 12(1), 12–21. https://doi.org/10.1037/0882-7974.12.1.12
• Borella, E., Ghisletta, P., Carbone, E., & Aichele, S. (2023). The Current and Retrospective Cognitive Reserve (2CR) survey and its relationship with cognitive and mood measures. European Journal of Ageing, 20(1), Article 23. https://doi.org/10.1007/s10433-023-00766-x
• Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
• Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society, 8(3), 448–460. https://doi.org/10.1017/s1355617702813248
• Stern, Y. (2009). Cognitive reserve. Neuropsychologia, 47(10), 2015–2028. https://doi.org/10.1016/j.neuropsychologia.2009.03.004
• Stern, Y. (2012). Cognitive reserve in ageing and Alzheimer’s disease. The Lancet Neurology, 11(11), 1006–1012. https://doi.org/10.1016/S1474-4422(12)70191-6
• Stern, Y., Arenaza-Urquijo, E. M., Bartrés-Faz, D., Belleville, S., Cantilon, M., Chetelat, G., Ewers, M., Franzmeier, N., Kempermann, G., Kremen, W. S., Okonkwo, O., Scarmeas, N., Soldan, A., Udeh-Momoh, C., Valenzuela, M., Vemuri, P., & Vuoksimaa, E. (2020). Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance. Alzheimer’s & Dementia, 16(9), 1305–1311. https://doi.org/10.1002/alz.12135

13. Items of the Scale (Questionnaire)