Chinese version of a Social Frailty Scale

1. Abstract

The acceleration of demographic aging represents one of the most prominent public health challenges of the twenty-first century. While traditional clinical and gerontological frameworks have historically prioritized physical phenotypes and cognitive decline, emerging epidemiological paradigms recognize social frailty as an independent yet deeply intertwined precursor to adverse geriatric outcomes. The Chinese version of a Social Frailty Scale (CVSFS) was developed to establish an empirically validated, culturally resonant, and theoretically grounded instrument capable of identifying and stratifying social vulnerability among older adults residing in mainland China. Anchored conceptually within Urie Bronfenbrenner’s and McLeroy’s Social-Ecological Model, the instrument assesses systemic deficits across four nested ecological strata: the individual level (micro-system), the family level (meso-system), the interpersonal network level (exo-system), and the broader community and societal level (macro-system). Developed in strict alignment with the international COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) methodology, the operationalized 36-item multidimensional scale addresses critical gaps left by translated screening tools, capturing localized filial structures, neighborhood cohesion, and institutional support systems. Psychometric evaluations across multiple independent cohorts demonstrate exceptional measurement properties: a Scale-Level Content Validity Index (S-CVI/Ave) of 0.930, robust internal consistency (Cronbach’s α = 0.926–0.930; McDonald’s ω = 0.931), excellent temporal stability (test-retest intraclass correlation = 0.978; split-half reliability = 0.928), and sound structural validity verified through confirmatory factor analysis (χ²/df = 2.17, Comparative Fit Index [CFI] = 0.937, Tucker-Lewis Index [TLI] = 0.932, Root Mean Square Error of Approximation [RMSEA] = 0.064). This comprehensive article provides an in-depth psychometric deconstruction, theoretical rationale, clinical utility review, and operational guide for the CVSFS within gerontological nursing, epidemiological research, and preventive public health policy.

2. Keywords

social frailty, older adults, psychometrics, Social-Ecological Model, gerontology, scale development, healthy aging, construct validity, COSMIN guidelines, Chinese aging population, community health, social isolation

3. Authors

The development, translation, cultural adaptation, and psychometric validation of the Chinese version of a Social Frailty Scale were conducted by a multidisciplinary team of gerontological nurse scientists, psychometricians, and public health researchers in China:

• ChaoMing Hou — School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China. Primary corresponding author: [email protected].
• XiaoYan Gong — School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
• DingXi Bai — Department of Nursing, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
• WenTing Ji — School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
• Huan Chen — School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
• XianYing Lu — School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
• XinYu Chen — School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
• Xiaohui Dong — School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China. Co-corresponding author: [email protected].
• Jing Gao — School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

4. Purpose

The primary clinical, epidemiological, and psychometric objective of the Chinese version of a Social Frailty Scale (CVSFS) is to establish an ecologically nuanced, standardized diagnostic instrument designed to detect, quantify, and stratify the severity of social vulnerability among community-dwelling and institutionalized older adults in China. Within global gerontology, frailty has conventionally been conceptualized primarily as a biological or physiological syndrome characterized by decreased physiological reserve, sarcopenia, neuroendocrine dysregulation, and heightened vulnerability to acute environmental stressors (Hoogendijk et al., 2019). However, contemporary geriatric paradigms increasingly demonstrate that psychosocial decrements frequently precede, exacerbate, or independently trigger physiological decline, functional dependency, cognitive impairment, and premature mortality (Bunt et al., 2017; Teo et al., 2017; Yamada et al., 2018).

Prior to the introduction of the CVSFS, Chinese researchers and clinicians heavily relied on brief, Western- or Japanese-derived screening instruments, such as the 5-item screening criteria proposed by Makizako et al. (2015), the HALFT scale, or general indexes of social vulnerability (Andrew et al., 2012). While these unidimensional or abbreviated instruments offer clinical convenience for rapid community triage, they exhibit severe operational and cultural limitations when deployed in mainland China. First, brief screening tools often reduce social frailty to an all-or-nothing binary or a superficial composite of basic indices (such as living alone or talking to someone daily), failing to discriminate between mild, moderate, and severe degrees of psychosocial depletion. Second, imported instruments frequently overlook the profound sociocultural characteristics inherent to Chinese society, including the centrality of Confucian filial piety (Xiao), the intricate dynamics of multigenerational cohabitation, changing family structures driven by rapid urbanization and internal migration, and the pivotal role of residential neighborhood committees (Juweihui) in organizing eldercare (Fan et al., 2020; Qi et al., 2023).

The CVSFS bridges these empirical and structural deficits by providing a comprehensive, multi-tiered diagnostic instrument. In clinical practice, the tool enables geriatricians, general practitioners, and community health nurses to move beyond binary classification toward precision risk stratification. By delineating whether an individual’s vulnerability stems from internal emotional isolation, deterioration of intra-familial caregiving, erosion of peer interactions, or macro-level societal alienation, the CVSFS empowers multidisciplinary teams to design tailored, tiered interventions. For instance, mild vulnerability localized at the interpersonal level may be mitigated through neighborhood-based social prescribing and community activity groups, whereas severe deficits at the family and individual micro-systems necessitate immediate social work intervention, family counseling, and formal home-based respite care.

5. Psychological Construct

The construct measured by the CVSFS is social frailty, operationalized as a dynamic, continuum-based state of vulnerability characterized by the progressive depletion of social resources, structural social networks, interpersonal capital, and self-efficacy required to fulfill basic social and psychological needs across the lifespan. Rather than regarding social frailty as an intrinsic biological deficit or purely subjective loneliness, the CVSFS treats it as a multidimensional systemic dysfunction spanning four distinct yet interconnected operational dimensions:

1. Individual Level (Micro-System)

The individual dimension captures the older person’s internal psychological state, subjective emotional equilibrium, self-care autonomy, and daily behavioral lifestyle. It examines how an individual’s personal agency, self-perception of aging, emotional distress, and functional independence interact to preserve social connectedness. Specific indicators within this subscale assess subjective loneliness, psychological helplessness, personal self-worth within the domestic sphere, affective regulation, and the intrinsic motivation to maintain an active daily routine. Deficits in this dimension manifest as apathy, anhedonia, loss of interest in personal care, and psychological withdrawal from the immediate environment.

2. Family Level (Meso-System)

The family dimension evaluates the structural and functional integrity of primary kinship networks. Rooted deeply in the traditional collectivist fabric of Chinese society, the meso-system represents the primary safety net for older adults. This subscale measures the availability of emotional and tangible instrumental support from adult children and spouses, the frequency of meaningful family communication, mutual respect across generations, and satisfaction with caregiving arrangements. Structural vulnerability in this dimension encompasses filial estrangement, ’empty-nest’ isolation resulting from rural-to-urban labor migration, domestic caregiving conflict, and the subjective perception of being an emotional or financial burden to descendants.

3. Interpersonal Level (Exo-System)

The interpersonal dimension shifts focus outward from the immediate biological family to the secondary social network, comprising friends, peers, neighbors, and voluntary associations. This construct evaluates the availability of reciprocal peer relationships, regular neighborhood socialization, and active participation in community life. Deficits in this domain reflect shrinking social circles due to the death of contemporaries, loss of employment-based social identities upon retirement, geographic disruption caused by urban redevelopment, and the progressive retreat from peer interactions, leading to severe behavioral isolation.

4. Community and Social Level (Macro-System)

The community and social dimension encompasses the broader societal, institutional, and environmental framework in which aging occurs. It assesses cultural inclusiveness, age-friendly neighborhood design, access to senior community services, perceived societal respect for older adults, and institutional safety nets. Impairment in this dimension signifies institutional marginalization, physical or digital barriers to public spaces and social services, feelings of societal disenfranchisement, and the subjective sense that rapid modern technological progress has rendered the older generation obsolete.

6. Theoretical Framework

The structural and conceptual foundation of the CVSFS is grounded in the Social-Ecological Model, initially conceptualized by Urie Bronfenbrenner (1979) and subsequently expanded for public health and health promotion interventions by McLeroy et al. (1988). The foundational premise of this framework is that human development, health behaviors, and psychological well-being are not determined solely by intra-individual characteristics; rather, they are produced and sustained through continuous, reciprocal interactions across nested, concentric environmental systems.

Traditional gerontological models often fall into the trap of methodological individualism, locating the pathology of social frailty exclusively within the older adult’s biological deficits, personality traits, or cognitive declines. In contrast, the Social-Ecological Model posits that social frailty occurs when there is a systemic breakdown in the equilibrium between the older adult’s adaptive capacity and the environmental resources available across four interdependent strata:

• The Micro-System: Represents the immediate, face-to-face setting containing the individual, where personal emotional responses, self-efficacy, and biological health status interact directly with daily functional tasks.
• The Meso-System: Involves the linkages and processes taking place between two or more major settings containing the developing person, specifically the primary familial structure and immediate household dynamics.
• The Exo-System: Encompasses the formal and informal social structures that do not necessarily contain the individual directly but impinge upon their immediate environment, such as neighborhood networks, peer circles, and local community associations.
• The Macro-System: Comprises the overarching cultural values, economic systems, public policies, and societal attitudes toward aging that shape the underlying opportunities for social integration and dignity.

In developing the CVSFS, Hou and colleagues operationalized this ecological architecture to ensure that the instrument does not merely catalog individual social behaviors (e.g., telephone call frequency), but systematically evaluates the entire ecological matrix surrounding the older individual. Furthermore, the scale integrates elements of Social Exchange Theory and the Convoy Model of Social Relations, which emphasize that healthy aging depends upon reciprocal interpersonal exchange—feeling both supported by and useful to one’s social network—and that disruptions in this convoy leave the individual vulnerable to cascading functional and cognitive declines.

7. Validity

The psychometric validation of the CVSFS adhered strictly to the methodological criteria outlined by the international COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) framework (Mokkink et al., 2010, 2018; Gagnier et al., 2021). Validation was executed across sequential developmental phases involving qualitative Delphi panels, pilot testing, and rigorous quantitative cross-sectional validation in independent elderly populations.

Content Validity

Content validity was established through a two-round Delphi expert consultation process involving a multidisciplinary panel of 15 senior specialists in geriatric nursing, public health, social work, and psychometrics. Expert consensus regarding item relevance, cultural congruence, clarity, and theoretical alignment yielded an exceptional Item-Level Content Validity Index (I-CVI) ranging from 0.889 to 1.000 across all retained items. The overall Scale-Level Content Validity Index / Average (S-CVI/Ave) reached 0.930, well above the recommended 0.90 psychometric benchmark (Polit & Beck, 2006; Terwee et al., 2007), demonstrating that the scale comprehensively covers the theoretical scope of social frailty without construct under-representation.

Construct and Structural Validity

Construct validity was empirically confirmed through sequential factor analytic procedures. An initial exploratory factor analysis (EFA) on 265 community-dwelling older adults culled poor-performing items and verified the four ecological factors. Following this, a confirmatory factor analysis (CFA) conducted on an independent cohort of 287 participants verified the stability and goodness-of-fit of the four-dimensional structural equation model. Standard fit indices all met or exceeded accepted psychometric standards:

• Comparative Fit Index (CFI): 0.937 (≥ 0.90 indicates satisfactory model fit).
• Tucker-Lewis Index (TLI): 0.932 (≥ 0.90 indicates robust factor structure).
• Root Mean Square Error of Approximation (RMSEA): 0.064 (values ≤ 0.08 denote acceptable approximation error in the population).
• Chi-Square to Degrees of Freedom Ratio (χ²/df): 2.17 (≤ 3.0 represents an excellent balance between model parsimony and data fit).

Criterion, Convergent, and Discriminant Validity

The scale demonstrated robust convergent validity through significant positive correlations with validated measures of depression (e.g., the Geriatric Depression Scale), generalized anxiety, and subjective loneliness, alongside significant negative correlations with the Lubben Social Network Scale (LSNS) and health-related quality of life inventories (SF-36 / SF-12). Receiver Operating Characteristic (ROC) curve analyses demonstrated excellent discriminative capability in separating socially robust individuals from those at imminent risk of physical frailty, falls, and functional dependency, confirming the clinical utility of the CVSFS as both an evaluative and diagnostic instrument.

8. Reliability

The reliability of the CVSFS was systematically tested across multiple dimensions of consistency, including internal consistency, split-half reliability, and temporal test-retest stability:

• Internal Consistency: Across the validation sample (N = 287), the overall scale achieved a Cronbach’s alpha (α) of 0.926 (reported across optimization and final validation iterations at 0.926–0.930), reflecting high internal consistency among the items without problematic item redundancy. Additionally, because coefficient alpha is sensitive to scale length and assumes tau-equivalence, researchers computed McDonald’s omega (ω), yielding a value of 0.931, well exceeding the rigorous psychometric cutoff of 0.80 (McNeish, 2018). The individual subscales demonstrated strong domain-specific internal consistency, with alpha coefficients exceeding 0.80 for the individual, family, interpersonal, and community dimensions.
• Split-Half Reliability: The instrument demonstrated a Guttman split-half reliability coefficient of 0.928, providing structural proof that both halves of the item pool yield consistent measurement of the overarching latent trait.
• Test-Retest Stability: To evaluate temporal stability, a subsample of stable community-dwelling older adults completed the instrument a second time after a two-week interval. The resulting test-retest intraclass correlation coefficient was 0.978. This near-perfect stability demonstrates that the CVSFS measures stable baseline psychosocial conditions rather than fleeting, transient moods, making it suitable for longitudinal cohort studies and clinical monitoring.

9. Factor Analysis

The structural architecture of the CVSFS was delineated through a rigorous, two-phase empirical process combining Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across independent respondent cohorts:

Exploratory Factor Analysis (EFA) — Phase II

In the item optimization phase (Phase II), the initial 42-item candidate pool was administered to N = 265 community-dwelling older adults (mean age: 71.89 ± 7.04 years; 115 males, 150 females). Prior to factor extraction, the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett’s Test of Sphericity confirmed data factorability. Principal axis factoring with oblique (Promax) rotation was employed to allow for natural inter-factor correlations among ecological systems. Inspection of the scree plot (gravel plot) and eigenvalues (> 1.0) revealed four distinct common factors accounting for substantial cumulative variance. Six items were systematically removed based on pre-established psychometric exclusion criteria: factor loadings < 0.40, substantial cross-loadings > 0.35 across multiple factors, or communalities < 0.30. This iterative process resulted in an optimized 36-item instrument loading cleanly onto four theoretical dimensions.

Confirmatory Factor Analysis (CFA) — Phase III

In the validation testing phase (Phase III), an independent cohort of N = 287 older adults (mean age: 72.67 ± 8.12 years, range 60–89 years; 138 males, 149 females) was evaluated. The four-factor structural equation model derived from the Social-Ecological Model was fitted to the covariance matrix. Factor loadings for each of the 36 items onto their designated latent constructs were robust, statistically significant (p < 0.001), and standardized loadings ranged consistently above 0.50, demonstrating clear construct representation. The final modified structural model (CVSFS 2.0 version) confirmed that:

• Dimension 1 (Individual Level): Items capture micro-system emotional well-being and daily behavioral functioning.
• Dimension 2 (Family Level): Items assess meso-system family care, respect, and mutual aid.
• Dimension 3 (Interpersonal Level): Items reflect exo-system peer engagement, neighborhood ties, and shared social activities.
• Dimension 4 (Community and Social Level): Items encapsulate macro-system cultural security, societal belonging, and neighborhood inclusivity.

Residual error terms (e1–e36) were largely independent, and fit parameters met accepted structural equation modeling thresholds (χ²/df = 2.17, CFI = 0.937, TLI = 0.932, RMSEA = 0.064).

10. Instrument / Measurement Tool

• Test Type: Multidimensional, self-report or interviewer-administered psychological assessment instrument / questionnaire.
• Target Population: Community-dwelling and institutionalized older adults (specifically validated for ages 60 to 89 years).
• Original Language: Chinese (Standard Mandarin).
• Administration Format: Standard paper-and-pencil or digital questionnaire; can be completed independently or through structured face-to-face geriatric interviews for individuals with visual or literacy limitations.
• Total Item Count: 36 items (structured across 4 ecological subscales).
• Subscale Breakdown:
  • Individual Level (Micro-System): Subjective emotions, loneliness, self-care routines, and daily living patterns.
  • Family Level (Meso-System): Intergenerational filial support, family emotional intimacy, and domestic caregiving quality.
  • Interpersonal Level (Exo-System): Peer relationships, neighborly exchanges, and participation in informal social networks.
  • Community & Social Level (Macro-System): Community infrastructure, age-friendly environment, societal respect, and public belonging.
• Authentic Response Scale: 36 items
• Scoring and Classification Protocol: In standard clinical screening protocols and cross-validation against core social frailty screening criteria, risk responses are assigned a score of 1. For example, within the primary functional markers:
  • Item 1: Going out less frequently compared to last year (Yes = 1; No = 0)
  • Item 2: Rarely or never visiting friends (Yes = 1; No = 0)
  • Item 3: Not feeling helpful to friends or family (No = 1; Yes = 0) [Reverse Scored]
  • Item 4: Living alone (Yes = 1; No = 0)
  • Item 5: Not talking with someone every day (Yes = 1; No = 0)

  Total screening scores range from 0 to 5, where 0 indicates robust, 1 indicates pre-frail, and 2 or higher indicates socially frail. For the complete 36-item diagnostic profile, continuous dimension-specific composite scores are generated to quantify severity across ecological levels.

11. Permissions & Fee and Test Year

• Year of Primary Publication: 2025.
• Original Publication Outlet: Frontiers in Public Health (Section on Aging and Public Health).
• Open Access and Licensing: The validation study is published under an Open Access Creative Commons Attribution License (CC BY 4.0), allowing academic dissemination and citation.
• Clinical and Research Permissions: The CVSFS was developed specifically for non-commercial academic research, public health surveillance, and clinical geriatric assessments. However, the complete proprietary 36-item questionnaire inventory is maintained under academic stewardship. Researchers and health practitioners wishing to utilize the complete instrument in clinical practice, translation studies, or epidemiological surveys must contact the primary corresponding author, ChaoMing Hou ([email protected]), or co-corresponding author, Xiaohui Dong ([email protected]), at Chengdu University of Traditional Chinese Medicine to obtain formal administrative permission, scoring handbooks, and scale documentation.
• Usage Fee: Free of charge for non-commercial academic research, public health screening, and clinical geriatric practice upon receipt of written author authorization.

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13. Items of the Scale (Questionnaire)