Factor structure of the Chinese version of the geriatric anxiety inventory

The traditional Chinese version of the Geriatric Anxiety Inventory: Psychometric properties and cutoff point for detecting anxiety

The study aimed to translate the Geriatric Anxiety Inventory into traditional Chinese (GAI-TC), examine its psychometric properties, and identify the optimal cutoff point. This research recruited 337 older adults from two community activity centers. Structured questionnaires were used, including demographic information and characteristics, the GAI-TC, and the State-Trait Anxiety Inventory (STAI). Cronbach's α of the GAI-TC was 0.93. The intraclass correlation coefficient was 0.90. The content validity index was 1.0. An exploratory factor analysis revealed that three factors in the GAI-TC, including cognition anxiety, impact of anxiety, and somatic anxiety, explained 59.46 % of the variance. The criterion-related validity showed a significant positive correlation between the GAI-TC and STAI, with an optimal cutoff of 9/10 for detecting anxiety in older persons living in the community. The GAI-TC had good reliability and validity and can provide professionals with a tool for the early identification of anxiety among older adults.

Validation of the Geriatric Anxiety Inventory in younger adults

This study investigated the psychometric properties of the Geriatric Anxiety Inventory (GAI) in younger adults. Participants were 212 younger adults age M = 22 (range = 17–53) years. They completed a demographic information questionnaire and self-report measures: the GAI, the Depression Anxiety Stress Scales (DASS), the Generalized Anxiety Disorder–7 (GAD-7), the Patient Health Questionnaire–9 (PHQ-9), the Penn State Worry Questionnaire (PSWQ), and the Worry Behaviors Inventory (WBI). Data from the GAI were collected at two time points, one week apart, and data from other self-report measures were collected once via Qualtrics, an online survey platform. The internal consistency and test–retest score reliability of the GAI were excellent. It had good congruent validity with other anxiety measures, limited divergent validity with depression measures, and sound convergent validity with worry measures. The GAI showed good discrimination between probable cases and noncases of generalized anxiety disorder (participants who scored ⩾8 on the GAD-7) and its optimal cutoff score for probable cases of GAD was ⩾12. A unidimensional component structure of the GAI best fit this study’s data. This study has provided preliminary evidence that the GAI is reliable and valid for use in an Australian sample of younger adults.

A Cross-National Analysis of the Psychometric Properties of the Geriatric Anxiety Inventory

OBJECTIVES

Assessing late-life anxiety using an instrument with sound psychometric properties including cross-cultural invariance is essential for cross-national aging research and clinical assessment. To date, no cross-national research studies have examined the psychometric properties of the frequently used Geriatric Anxiety Inventory (GAI) in depth.

METHOD

Using data from 3,731 older adults from 10 national samples (Australia, Brazil, Canada, The Netherlands, Norway, Portugal, Spain, Singapore, Thailand, and United States), this study used bifactor modeling to analyze the dimensionality of the GAI. We evaluated the "fitness" of individual items based on the explained common variance for each item across all nations. In addition, a multigroup confirmatory factor analysis was applied, testing for measurement invariance across the samples.

RESULTS

Across samples, the presence of a strong G factor provides support that a general factor is of primary importance, rather than subfactors. That is, the data support a primarily unidimensional representation of the GAI, still acknowledging the presence of multidimensional factors. A GAI score in one of the countries would be directly comparable to a GAI score in any of the other countries tested, perhaps with the exception of Singapore.

DISCUSSION

Although several items demonstrated relatively weak common variance with the general factor, the unidimensional structure remained strong even with these items retained. Thus, it is recommended that the GAI be administered using all items.

A Systematic Review of the Psychometric Properties of the Geriatric Anxiety Inventory

The Geriatric Anxiety Inventory (GAI) and its short form (GAI-SF) are self-reported scales used internationally to assess anxiety symptoms in older adults. In this study, we conducted the first critical comprehensive review of these scales' psychometric properties. We rated the quality of 31 relevant studies with the COSMIN checklist. Both the GAI and GAI-SF showed adequate internal consistency and test-retest reliability. Convergent validity indices were highest with generalized anxiety measures; lowest with instruments relating to somatic symptoms. We detected substantial overlap with depression measures. While there was no consensus on the GAI's factorial structure, we found the short version to be unidimensional. Although we found good sensitivity and specificity for detecting anxiety, cut-off scores varied. The GAI and GAI-SF are relevant instruments showing satisfactory psychometric properties; to broaden their use, however, some psychometric properties warrant closer examination. This review calls attention to weaknesses in the methodological quality of the studies.

Item response analysis of the Geriatric Anxiety Inventory among the elderly in China: dimensionality and differential item functioning test

BACKGROUND

Anxiety symptoms are pervasive among elderly populations around the world. The Geriatric Anxiety Inventory (the GAI) has been developed and widely used in screening those suffering from severe symptoms. Although debates about its dimensionality have been mostly resolved by Molde et al. (2019) with bifactor modeling, evidence regarding its measurement invariance across sex and somatic diseases is still missing.

METHODS

This study attempted to provide complemental evidence to the dimensionality debates of the GAI with Mokken scale analysis and to examine its measurement invariance across sex and somatic diseases by conducting differential item functioning (DIF) analysis among a sample of older Chinese adults. The data was from responses of a large representative sample (N = 1314) in the Chinese National Survey Data Archive, focusing on the mental health of elderly adults.

RESULTS

The results of Mokken scale analysis confirmed the unidimensionality of the GAI, and DIF analysis indicated measurement invariance of this inventory across individuals with different sex and somatic diseases, with just a few items exhibiting item bias but all of them negligible.

CONCLUSIONS

All these findings supported the use of this inventory among Chinese elders to screen anxiety symptoms and to make comparisons across sex and somatic diseases.

Assessment of anxiety in older adults: a review of self-report measures

With increasing numbers of older adults in the general population, anxiety will become a widespread problem in late life and one of the major causes of health care access contributing to high societal and individual costs. Unfortunately, the detection of anxiety disorders in late life is complicated by a series of factors that make it different from assessment in younger cohorts, such as differential symptom presentation, high comorbidity with medical and mental disorders, the aging process, and newly emergent changes in life circumstances. This review covers commonly and currently used self-report inventories for assessing anxiety in older adults. For each tool, psychometric data is investigated in depth. In particular, information about reliability, validity evidence based on data from clinical and nonclinical samples of older adults, and availability of age-appropriate norms are provided. Finally, guidance for clinical evaluation and future research are proposed in an effort to highlight the importance of clinical assessment in the promotion of clinically relevant therapeutic choices.

A Bifactor and item response analysis of the geriatric anxiety inventory

BACKGROUND

Due to previously reported mixed findings, there is a need for further empirical research on the factorial structure of the commonly used Geriatric Anxiety Inventory (GAI). Therefore, the psychometric properties of the GAI and its short form version (GAI-SF) were evaluated in a psychogeriatric mixed in-and-out patient sample (n = 543).

METHODS

Unidimensionality was tested using a bifactor analysis. Rasch modeling was used to assess scale properties. Sex, cognitive functioning and depressive symptoms were tested for differential item functioning (DIF).

RESULTS

The bifactor analysis identified an essential unidimensional (general) factor structure but also specific local factors. The general factor comprises all the 20 items as one factor, and the results showed that the variance in the general and specific factors (subscale) scores is best explained by the single general factor. These findings were demonstrated for both versions of the GAI. Furthermore, the Rasch models identified extensive item overlap, indicating redundant items in the full version of the GAI. The GAI-SF also seems to extract much of the same information as the full form. Test scores and items have the same meaning for older adults across different demographic status.

CONCLUSION

The findings support the use of a total sum score for both GAI and GAI-SF. Notably, when using the GAI-SF, no information is lost, in comparison with the full scale, thus, supporting the option of choosing the short form (version) when considered most appropriate in demanding clinical contexts.