Healthy Aging Activity Engagement Scale

Authors

Purpose

Historically, clinical assessments of Older adults have relied on disparate questionnaires that isolate specific health behaviors, such as physical activity trackers or dietary logs. This fragmented approach fails to capture the synergistic nature of a truly healthy lifestyle. The primary purpose of validating the Chinese version of the HAAE is to bridge this methodological gap by offering a unified, comprehensive instrument that evaluates multiple facets of healthy aging simultaneously.

For researchers and clinicians, this scale serves as a vital preventative tool. By applying it not just to the elderly, but also to middle-aged populations, healthcare providers can identify lifestyle deficits early on. This early detection is critical for implementing targeted interventions that encourage cognitive engagement, social interaction, and physical exercise, ultimately reducing the future burden of chronic diseases and enhancing the overall quality of life in later years.

Construct

The psychological and behavioral construct measured by the HAAE is multidimensional healthy aging engagement. Theoretically, this construct is rooted in the biopsychosocial model of health, which posits that successful aging is not merely a biological process but is heavily influenced by psychological resilience, cognitive maintenance, and social connectivity. The scale operationalizes this by evaluating how frequently and intensely individuals participate in activities known to foster these domains.

The instrument captures three primary underlying factors, reflecting a holistic lifestyle approach. These dimensions encompass physical health behaviors, cognitive and social enrichment, and psychological well-being. Together, these interconnected domains provide a comprehensive profile of an individual's proactive engagement in their own aging process, aligning with contemporary gerontological theories that emphasize active, rather than passive, aging.

Validity

Establishing the validity of a translated psychometric tool is essential to ensure it measures what it intends to measure within a new cultural context. In this validation study, the researchers rigorously evaluated both content and structural validity. Content validity was confirmed through expert consultation, yielding an exceptionally high Scale-Level Content Validity Index of 0.969, indicating that the translated items were highly relevant and culturally appropriate for a Chinese demographic.

To examine the underlying structure, the research team employed both Exploratory Factor Analysis and Confirmatory Factor Analysis. The exploratory phase successfully extracted a three-factor model that aligned with the original English version. Subsequent confirmatory analysis demonstrated an excellent fit for this structure. Fit indices such as the Comparative Fit Index at 0.982 and Tucker-Lewis Index at 0.981 were well above standard thresholds, and the Root Mean Square Error of Approximation was notably low at 0.030, indicating that the theoretical model perfectly matched the observed data.

Reliability

Reliability in psychometrics refers to the consistency and stability of a measurement tool. The Chinese adaptation of the HAAE demonstrated outstanding internal consistency, with an overall Cronbach's alpha coefficient of 0.965. This exceeds standard psychometric benchmarks, indicating that the 32 items work together cohesively to measure the overarching construct of healthy aging engagement. The individual sub-dimensions also showed strong internal reliability, with alpha values ranging from 0.898 to 0.957, ensuring that each specific behavioral domain is measured accurately.

Beyond internal consistency, the researchers also established the temporal stability of the scale through test-retest reliability over a two-week interval. The resulting correlation coefficient of 0.850 was highly satisfactory, proving that the scale yields consistent results over time when an individual's lifestyle habits remain unchanged. Additionally, a strong split-half reliability of 0.807 further corroborated the instrument's robust internal structure, making it a highly dependable tool for both cross-sectional and longitudinal research.

Factor Analysis

The structural integrity of the translated scale was rigorously tested using a dual-phase factor analytic approach. Initially, Exploratory Factor Analysis was utilized to uncover the natural grouping of the 32 items within the new cultural sample. This analysis revealed three distinct common factors, which collectively accounted for 63.448% of the total variance. Importantly, every item demonstrated a strong factor loading greater than 0.4, confirming that no items needed to be discarded due to poor conceptual alignment.

Following the exploratory phase, Confirmatory Factor Analysis was applied to mathematically verify this three-factor model. The results were highly supportive of the proposed structure. The chi-square to degrees of freedom ratio was 1.393, well below the conservative threshold of 3.0. Other key metrics, including a Goodness-of-Fit Index of 0.911, indicated an exceptional model fit. These findings provide strong empirical evidence that the three-dimensional structure of the HAAE is robust and culturally invariant.

Subscales

Instrument

Figures

Healthy Aging Activity Engagement Scale Items

Sample

A total of 424 middle-aged and elderly individuals (aged 45 and older) were recruited via convenience sampling from communities in Jiangsu, Liaoning, Shandong, and Heilongjiang provinces in China. The sample consisted of 48.3% females and 51.7% males, with 62.7% of participants aged 60 and above.