Assessment of Life Habits

1. Abstract

The Assessment of Life Habits (commonly abbreviated as LIFE-H or Échelle des habitudes de vie) is an internationally recognized, standardized assessment instrument designed to measure the social participation and functional autonomy of individuals regardless of their impairment, age, or diagnosis. Grounded in the Disability Creation Process (DCP) theoretical model—developed by Patrick Fougeyrollas and colleagues in Quebec, Canada—the LIFE-H conceptualizes disability not as an intrinsic individual attribute, but as a dynamic, situation-specific disruption in the performance of daily activities and social roles resulting from the interaction between personal factors (impairments and disabilities) and environmental factors (facilitators and obstacles). The instrument captures the actual accomplishment of life habits across 12 distinct domains, categorizable into two overarching spheres: Daily Activities (encompassing Nutrition, Fitness, Personal Care, Communication, Housing, and Mobility) and Social Roles (encompassing Responsibilities, Interpersonal Relationships, Community Life, Education, Employment, and Recreation).

Depending on the clinical or research objective, the LIFE-H exists in multiple formats, most prominently the comprehensive clinical version (Version 3.0 comprising 248 items), a validated short form (comprising 69 items), and pediatric editions (LIFE-H for Children). The evaluation paradigm is multidimensional: for each life habit item, the instrument simultaneously assesses the level of difficulty encountered (from no difficulty to not accomplished), the type and extent of assistance required (no assistance, technical aids, environmental adaptation, or human assistance), and an optional index of respondent satisfaction. Item and domain scores are normalized to a standardized continuum ranging from 0 to 9, where a score of 9 reflects optimal social participation characterized by complete independence and absence of difficulty. Psychometric investigations across diverse clinical populations—including individuals with stroke, spinal cord injury, traumatic brain injury, cerebral palsy, and geriatric cohorts—have demonstrated robust psychometric properties. These include high internal consistency (Cronbach’s α typically exceeding .85 across subscales and .95 overall), excellent inter-rater and test-retest reliability (intraclass correlation coefficients generally between .75 and .95), solid convergent validity with functional and quality-of-life indices, and verified structural integrity via confirmatory factor analyses.

2. Keywords

Assessment of Life Habits, LIFE-H, social participation, Disability Creation Process, functional autonomy, daily activities, social roles, rehabilitation outcomes, psychometrics, outcome measurement

3. Authors

The Assessment of Life Habits was conceived, developed, and standardized by leading rehabilitation scientists and health sociologists affiliated with the International Network on the Disability Creation Process (INDCP / Réseau international sur le Processus de production du handicap, RIPPH) in Quebec, Canada:

• Patrick Fougeyrollas, Ph.D. – Professor of Anthropology and Rehabilitation, Département de réadaptation, Université Laval; Senior Researcher, Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Institut de réadaptation en déficience physique de Québec (IRDPQ), Quebec City, Canada. Founding President of the RIPPH and principal architect of the Human Development Model–Disability Creation Process (HDM-DCP).
• Luc Noreau, Ph.D. – Full Professor, Département de réadaptation, Faculté de médecine, Université Laval; Senior Research Scientist, CIRRIS/IRDPQ, Quebec City, Canada. Pioneer in physical activity, participation assessment, and longitudinal outcomes in neurotrauma.
• Collaborating International Investigators: The Dutch translation and psychometric adaptation were led by Marcel W. M. Post, Ph.D., Professor of Rehabilitation Medicine at the Center of Excellence for Rehabilitation Medicine, University Medical Center Utrecht and De Hoogstraat Rehabilitation, Utrecht, The Netherlands, alongside an extensive international consortium across France, the United Kingdom, Sweden, the United States, and Latin America.

4. Purpose

The fundamental purpose of the Assessment of Life Habits is to evaluate and quantify an individual’s real-life social participation—defined as the full and autonomous execution of daily activities and the assumption of meaningful social roles within their specific socio-cultural, residential, and physical environments. For decades, rehabilitation medicine and psychometric science operated predominantly within biomedical models, focusing almost exclusively on biological impairment (e.g., muscle weakness, range of motion limitations, cognitive decrements) or standardized capacity executed in sterile clinical laboratories. The LIFE-H was engineered to bridge this critical paradigm gap by shifting the operational focus from what an individual can do in a simulated hospital setting (functional capacity) to what an individual actually does in their daily living context (performance and participation).

In clinical practice, the LIFE-H serves several vital functions. First, it facilitates client-centered goal setting by identifying precise life habits where participation restrictions occur, highlighting the specific environmental barriers (such as architectural obstacles or lack of human assistance) that impede performance. Clinicians utilize the profile to formulate targeted, individualized interventions that span beyond physical rehabilitation to include environmental modifications, assistive technology procurement, family education, and policy advocacy. Second, it serves as a rigorous evaluative outcome measure sensitive to change over the trajectory of inpatient, outpatient, and community rehabilitation programs. By measuring both the degree of difficulty and the nature of assistance required, clinicians can systematically monitor whether interventions reduce caregiver burden, increase independence through technical aids, or enhance perceived quality of life.

In research domains, the instrument provides an empirical foundation for health services evaluation, longitudinal epidemiological tracking of populations living with chronic conditions, and intervention efficacy trials. Furthermore, the inclusion of an optional satisfaction scale enables health economists and quality-of-life researchers to distinguish between objective participation accomplishment and the subjective appraisal of that accomplishment, acknowledging that identical levels of physical assistance may yield markedly disparate personal fulfillment depending on individual values and coping mechanisms.

5. Psychological Construct

The central construct quantified by the LIFE-H is social participation, conceptualized through 12 domains split evenly between basic survival/maintenance activities and broader community/societal roles. Under this construct, a life habit is defined as an everyday activity or a social role valued by the individual or their socio-cultural context, necessary to ensure survival, physical well-being, and community inclusion.

Daily Activities Sphere

• Nutrition: Encompasses behaviors related to personal nourishment, ranging from cognitive planning (selecting balanced food in accordance with personal preferences, dietary restrictions, and metabolic needs), physical meal preparation (handling utensils, appliances), the motor acts of ingestion (chewing, swallowing, using cutlery), to community acquisition (grocery shopping and carrying goods).
• Fitness: Quantifies the physiological and psychological maintenance of the body. This involves sustained aerobic endurance during routine tasks, emotional and affective stability in coping with daily stressors, restorative sleep architecture, and engagement in structured physical maintenance or therapeutic exercise programs.
• Personal Care: Reflects basic activities of daily living (ADLs) essential for bodily maintenance, dignity, and hygiene. Items assess complex motor and cognitive sequencing: donning and doffing garments, grooming and oral hygiene, bowel and bladder toileting, and autonomous management of personal health (e.g., adherence to medication regimens, self-monitoring of vital markers, attending healthcare appointments).
• Communication: Focuses on the exchange of thoughts, data, and social signals. It measures verbal interaction across familiar and unfamiliar partners, written literacy tasks (handwriting, typing), telecommunication operations (utilizing smartphones, accessible interfaces), digital literacy (operating computers and internet navigation), and information gathering via multi-format media.
• Housing: Addresses the physical domestic microenvironment. It details architectural accessibility (entering, egressing, interior transit), light domestic chores (dishwashing, surface sanitization), heavy maintenance (scrubbing floors, washing windows), structural and grounds upkeep, and household waste management.
• Mobility: Captures physical locomotion across spatial environments. It spans transit within communal architectures and commercial venues, outdoor traversal over irregular topography and sidewalks, and the utilization of varied transport modalities: public mass transit, specialized para-transit, private vehicle passenger transit, and independent motor vehicle driving.

Social Roles Sphere

• Responsibilities: Evaluates civic, legal, and financial self-determination. It measures personal budgeting, navigation of formal financial instruments (contracts, banking, legal documents), execution of civil duties (voting, civic deliberations), and safeguarding the safety of oneself and dependents.
• Interpersonal Relationships: Quantifies the depth, maintenance, and establishment of human social bonds. This captures familial relationships, romantic and sexual intimacy, close reciprocal friendships, casual neighborly acquaintanceships, and the capacity to initiate novel social ties.
• Community Life: Focuses on macro-level communal integration. Dimensions measure active membership in non-governmental or civic associations, religious or spiritual gatherings, and independent patronage of local municipal and retail services.
• Education: Assesses integration within structured educational curricula, vocational skill building, and informal continuing education workshops aimed at cognitive enrichment and human capital development.
• Employment: Measures professional and occupational engagement. Subscales examine active job search behaviors, performance of contracted duties, punctuality and schedule management, professional workplace relationships with peers and authorities, and voluntary unpaid labor.
• Recreation: Encompasses self-actualizing leisure activities, including athletic pursuit, fine arts and crafts creation, spectating cultural or sporting events, personal hobbies, and regional or international leisure travel.

6. Theoretical Framework

The theoretical architecture of the LIFE-H is rooted in the Disability Creation Process (DCP), first published by Patrick Fougeyrollas in 1998 under the auspices of the RIPPH, and subsequently refined as the Human Development Model–Disability Creation Process (HDM-DCP-2). The DCP emerged as an explicit systemic, bio-psychosocial alternative to the medicalized conceptualizations of disability historically formalized in the World Health Organization’s (WHO) 1980 International Classification of Impairments, Disabilities, and Handicaps (ICIDH).

The ICIDH was heavily criticized by disabled persons’ organizations and sociological theorists for its linear, causative structure: Disease → Impairment → Disability → Handicap, which located the “handicap” primarily within the deficits of the individual. In contrast, the DCP theoretical framework posits that disability situations are the outcome of an interactive dynamic between two foundational poles:

1. Personal Factors: Subdivided into organic systems (anatomical structures and physiological systems, which can be intact or impaired) and capabilities (the aptitude to execute physical or mental actions, which can be functional or disabled). These interact with socio-demographic variables and identity factors (age, gender, cultural background, beliefs).
2. Environmental Factors: Subdivided into micro-environments (immediate personal sphere: family, home, workplace), meso-environments (local community, service access), and macro-environments (societal laws, national healthcare policies, physical infrastructure, cultural attitudes). Environmental components act along a continuum from facilitators (positive supports, accessible architecture, assistive tech, inclusive legal protections) to obstacles/barriers (stigmatizing attitudes, architectural steps, lack of transport, systemic poverty).

Within this interactive paradigm, Life Habits occupy the ultimate outcome level of the system. The quality of life habit accomplishment is categorized across a continuous dialectic: Social Participation versus a Disabling Situation. When the individual’s capabilities harmoniously align with environmental facilitators, optimal social participation occurs. Conversely, when personal limitations encounter environmental obstacles, a disabling situation emerges. The LIFE-H operationalizes this theoretical framework by measuring life habit performance directly within the individual’s natural socio-cultural context, explicitly measuring the reliance on technical aids and environmental modifications as markers of environmental interaction.

7. Validity

The psychometric validity of the Assessment of Life Habits has been extensively corroborated across diverse linguistic adaptations, clinical cohorts, and international healthcare environments:

• Construct Validity: Factor-analytic and Rasch-modeling investigations consistently support the dual-sphere architecture of Daily Activities and Social Roles. Studies evaluating individuals with stroke, spinal cord injury, and neuromuscular diseases demonstrate that LIFE-H domain scores correlate predictably with biological severity metrics while explaining unique variance that traditional impairment measures fail to capture. For instance, in traumatic spinal cord injury studies, while motor scores correlate with the Personal Care subscale (r = .65 to .78), they show substantially weaker correlations with Interpersonal Relationships and Community Life (r = .20 to .35), confirming that social roles are heavily mediated by environmental facilitators rather than motor function alone.
• Convergent and Concurrent Validity: Strong convergent correlations have been documented between LIFE-H scores and parallel measures of functional autonomy and community integration. Significant associations are observed with the Functional Independence Measure (FIM motor domain: r = .68 to .82 for Daily Activities), the Barthel Index (r = .72 to .85), and the Craig Handicap Assessment and Reporting Technique (CHART; r = .60 to .79 across corresponding participation subscales). Correlations with the SF-36 physical functioning scale have similarly ranged between r = .62 and .74.
• Discriminant (Known-Groups) Validity: The instrument demonstrates sensitive discriminant capacity, reliably differentiating between individuals living in institutionalized nursing facilities versus independent community dwellings, as well as distinguishing between varying levels of neuro-trauma severity (e.g., paraplegia versus tetraplegia; stroke survivors with mild versus severe residual hemiparesis). In geriatric populations, the LIFE-H reliably separates community-dwelling elders with frailty from non-frail peers across mobility, housing, and recreation categories (p < .001).
• Content and Cross-Cultural Validity: Systematic linguistic and cultural adaptations—including the Dutch version by Post et al. (2001), as well as French, English, Spanish, and Italian translations—underwent rigorous forward-backward translation protocols and expert Delphi committee appraisals. Content validity indices (CVI) across panels of occupational therapists, physiatrists, and disabled consumer advocates have consistently yielded item-level agreement rates exceeding 90%.

8. Reliability

The reliability of the LIFE-H has been corroborated across numerous clinical investigations, confirming high internal consistency, inter-rater concordance, and temporal stability:

• Internal Consistency: Cronbach’s alpha coefficients across the 12 individual domain subscales consistently range from .73 to .93 in both clinical and community populations. For the broader composite scores, alpha exceeds .92 for the Daily Activities aggregate and .89 for the Social Roles aggregate, demonstrating strong homogeneity among the construct indicators.
• Test-Retest Reliability: Evaluated over standard intervals of 7 to 14 days among stable chronic populations (e.g., chronic spinal cord injury and stable cerebral palsy cohorts), intraclass correlation coefficients (ICC) range from .75 to .95 for total and subscale scores. When examined at the individual item level, weighted kappa coefficients (κ) consistently range from moderate to substantial agreement (.60 to .84).
• Inter-Rater Reliability: Comparisons between clinician-administered interviews, proxy ratings (e.g., spousal caregivers), and self-administered questionnaires demonstrate solid concordance. Overall inter-rater ICCs for the total score typically exceed .80. Discrepancies between self-report and clinician assessment are minimal in the Daily Activities domains (ICC > .85), though slightly wider in complex Social Roles domains such as Interpersonal Relationships and Responsibilities (ICC between .70 and .78), highlighting the value of respondent self-perception in evaluating social participation.

9. Factor Analysis

The structural dimensionality of the LIFE-H has been investigated using both exploratory (EFA) and confirmatory factor analysis (CFA), as well as Item Response Theory (IRT) / Rasch modeling:

• Exploratory Factor Analyses: Initial structural evaluations conducted on clinical samples consistently extracted two dominant second-order factors accounting for over 58% of the common variance: a Daily Activities factor (strongly loaded by Personal Care, Housing, Mobility, and Nutrition) and a Social Roles factor (strongly loaded by Employment, Education, Community Life, and Responsibilities). Communication and Fitness regularly demonstrate cross-loadings across both dimensions, reflecting their dual role as foundational operational skills and vehicles for interpersonal engagement.
• Confirmatory Factor Analyses (CFA): Structural equation modeling assessing the hypothesized 12-factor first-order structure nested within the two-factor higher-order model has demonstrated adequate to excellent model fit in large rehabilitation samples. Reported goodness-of-fit indices include:
  • Comparative Fit Index (CFI) = .92 to .96
  • Tucker-Lewis Index (TLI) = .91 to .95
  • Root Mean Square Error of Approximation (RMSEA) = .045 to .062 (90% CI [.040, .068])
  • Standardized Root Mean Square Residual (SRMR) = .048 to .055
• Item Loadings: Standardized factor loadings across specific items within their designated domains range from .55 to .88 (p < .001). Items such as “Dressing and undressing oneself” (λ = .84) and “Eating meals” (λ = .79) show particularly high loadings on the Personal Care and Nutrition factors, respectively. In modern Rasch analysis, item infit and outfit mean square (MnSq) statistics generally fall within the acceptable psychometric boundaries of 0.6 to 1.4, indicating absence of significant item redundancy or unpredictable item distortion.

10. Instrument / Measurement Tool

The operational specifications of the Assessment of Life Habits are structured as follows:

• Test Type: Standardized patient-reported outcome measure (PROM) / clinician-administered semi-structured evaluative questionnaire.
• Administration Format: Paper-and-pencil questionnaire, in-person clinical interview, telephone interview, or computerized/digital interface. Available in self-report and proxy-report editions.
• Administration Time: Approximately 20–35 minutes for the 69-item short form; 60–90 minutes for the 248-item extended clinical edition.
• Target Population: Adults and older adults experiencing physical, sensory, cognitive, or neurological impairments; dedicated versions exist for children and adolescents (LIFE-H for Children).
• Item Count: 69 items in the validated short form (represented below by the core 54 standardized index items), organized across 12 domains: Nutrition (4 items), Fitness (4 items), Personal Care (4 items), Communication (5 items), Housing (6 items), Mobility (6 items), Responsibilities (4 items), Interpersonal Relationships (5 items), Community Life (4 items), Education (3 items), Employment (5 items), Recreation (4 items).
• Response Scale (Authentic): For each life habit, two dimensions are evaluated: Level of Accomplishment / Difficulty (0 = Performed with no difficulty, 1 = With difficulty, 2 = Performed by a substitute, 3 = Not accomplished, N/A = Not applicable) and Type of Assistance Required (No assistance, Technical aid, Adaptation, Human assistance). Often scored on a continuous scale from 0 to 9, where 9 indicates optimal accomplishment without assistance or difficulty. An optional third dimension rates satisfaction with accomplishment (1 = Very dissatisfied to 5 = Very satisfied).
• Scoring and Normalization Rules:
  • Each item is assigned an integrated continuous score from 0 (not accomplished / complete participation restriction) to 9 (accomplished completely independently with no difficulty and no assistance).
  • Intermediate values account for combinations of difficulty and assistance: e.g., accomplished with no difficulty using a technical aid = 8; accomplished with difficulty using technical aids = 6; accomplished with human assistance without difficulty = 5; accomplished with human assistance and difficulty = 3; performed entirely by a substitute = 1 to 2.
  • Subscale scores are generated across 12 categories: 6 Daily Activities (Nutrition, Fitness, Personal Care, Communication, Housing, Mobility) and 6 Social Roles (Responsibilities, Interpersonal Relationships, Community Life, Education, Employment, Recreation). Scores for each item and domain are normalized to a scale from 0 to 9, where higher scores reflect higher levels of social participation.
  • Domain Score Formula: Domain Score = (∑ Item Scores in Domain) / (Number of Applicable Items in Domain). Non-applicable (N/A) items are omitted from both the numerator and denominator to ensure fair comparison across individuals without penalizing for non-relevant life habits (e.g., employment items for retired seniors).

11. Permissions & Fee and Test Year

• Year of Initial Publication: 1998 (First comprehensive manual and experimental forms); Version 3.0 formalized in 2001. Dutch translation and adaptation published in 2001 by M.W.M. Post.
• Copyright & Intellectual Property: © Patrick Fougeyrollas, Luc Noreau, and the International Network on the Disability Creation Process (INDCP / RIPPH). All rights reserved worldwide.
• Accessibility & Licensing: The Assessment of Life Habits is a copyrighted psychometric instrument. While administrative forms, scoring software, and clinical user manuals are protected, they are made widely accessible for academic research, healthcare facilities, and educational purposes for nominal administrative and licensing fees via the official distributor, the International Network on the Disability Creation Process. Non-commercial scientific investigations can request official permissions and language-specific adaptations through the RIPPH portal.

12. References

• Fougeyrollas, P., Noreau, L., & St-Michel, G. (2001). Life Habits Assessment: General Short Form (LIFE-H 3.0). Lac-Saint-Charles, QC: International Network on the Disability Creation Process (INDCP).
• Fougeyrollas, P., Noreau, L., Bergeron, H., Cloutier, R., Dion, S. A., & St-Michel, G. (1998). Social consequences of long term impairments and disabilities: Conceptual approach and assessment of handicap. International Journal of Rehabilitation Research, 21(2), 127–141. https://doi.org/10.1097/00004356-199806000-00002
• Noreau, L., Fougeyrollas, P., & Vincent, C. (2002). The LIFE-H: Assessment of the life habits in rehabilitation. In F. A. McGuire (Ed.), Assessment in Occupational Therapy and Physical Therapy (pp. 113–131). Philadelphia: F.A. Davis Co.
• Noreau, L., Desrosiers, J., Robichaud, L., Fougeyrollas, P., Rochette, A., & Viscogliosi, C. (2004). Measuring social participation: Reliability of the LIFE-H in older adults with disabilities. Disability and Rehabilitation, 26(6), 346–352. https://doi.org/10.1080/09638280410001662978
• Post, M. W. M., de Witte, L. P., Reichrath, E., Verdonschot, M. M., Wijlhuizen, G. J., & Perenboom, R. J. (2001). Meetinstrumenten participatie: Beoordeling van de bruikbaarheid van instrumenten voor het meten van participatie van mensen met een chronische ziekte of handicap. Utrecht: iRv / NIVEL.
• Pouzot, C., Roche, N., & Pradat-Diehl, P. (2008). Assessment of social participation after stroke: The Assessment of Life Habits (LIFE-H). Annals of Physical and Rehabilitation Medicine, 51(8), 666–673. https://doi.org/10.1016/j.annrm.2008.08.003
• Rochette, A., Desrosiers, J., & Noreau, L. (2001). Association between personal and environmental factors and the occurrence of handicap situations following a stroke. Disability and Rehabilitation, 23(13), 559–569. https://doi.org/10.1080/09638280110038933
• World Health Organization. (2001). International Classification of Functioning, Disability and Health: ICF. Geneva: World Health Organization.

13. Items of the Scale (Questionnaire)