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. 2018 May 24;10(1):7580. doi: 10.4081/mi.2018.7580

The Turkish adaptation and psychometric properties of the Geriatric Anxiety Scale

Faika Sanal Karahan 1, Erdal Hamarta 2, Ali Yavuz Karahan 3,
PMCID: PMC6037099  PMID: 30046403

Abstract

The purpose of the present study is to translate and adapt the Geriatric Anxiety Scale (GAS), a 30-item self-report measure of anxiety among older adults, into Turkish and examine its basic psychometric properties. We tested the translated GAS in a sample of community-dwelling older adults in Konya, Turkey (N=100; Mage=71.4 years, SD=6.5; range=65-88) without a history of mental disorder and sufficient cognitive abilities. To assess the convergent validity, Turkish versions of the Beck Anxiety Inventory (BAI) and Geriatric Depression Scale (GDS) were administered. The mean GAS total score was 13.33 (SD=11.86). Due to low item-total correlations (<0.30), two items (items 2 and 3) were removed from the Turkish version of the GAS. The internal reliability (Cronbach’s alpha) was excellent for the total score (0.91) and acceptable for the subscales (somatic = 0.71; cognitive = 0.85; affective = 0.84). Regarding the convergent validity, the GAS total score was significantly and positively correlated with the total scores of the BAI (r=0.87, P<0.05) and GDS (r=0.57, P<0.05), with large effect sizes. Implications: The newly translated Turkish version of the GAS has promising utility in an older adult Turkish sample. Future studies of this measure are warranted.

Key words: Geriatric Anxiety Scale, psychometric properties, Turkish version

Introduction

Anxiety is an exceedingly common mental health problem globally. In Turkey, as in many other countries, it is not easily treated in older adults.1 Because the impact of anxiety in late-life is extensively being associated with significant functional limitation and impaired quality of life and,2 it is associated with reduced quality of life, increased disability and increased risk of suicide.3,4 Moreover, anxiety symptoms may have a negative impact on their psychosocial adjustment. Elderly patients with anxiety symptoms tend to show lower levels of autonomy, greater loss of visual and auditory acuity, neurotic traits, poor self-perceived health and quality of life, greater use of healthcare services, and increased risk of mortality.5 Thus, finding ways to reduce anxiety in older people can be considered an important public health issue.

Unlike other mental and emotional problems in older adults, such as depression, dementia, and delirium, which are relatively popular research topics in Turkey, geriatric anxiety is not often assessed independently. Typically, depression and anxiety are assessed together. Moreover, associations between depression measures and corresponding indicators of anxiety are strongly demonstrated in teenagers, adults, and psychiatric patients.6,7 Recent data establish a very close connection between anxiety and depression and highlight the significance of modeling anxiety symptoms in assessment of depression.6,7 But this is insufficient for fully understanding geriatric anxiety.6-8 The need to understand geriatric anxiety is somewhat pressing - the elderly population were constituted 8.7% of the world population in 2016. The data from the Turkish Statistical Institute (2017) has shown that the proportion of the population that is elderly (those aged 65 years or over) has been increasing in recent decades.9 It is estimated that it will be 8.6 million in 2023, which will then increase to 19.5 million in 2050 and 24.7 million in 2075; these represent proportions of the total population of 10.2% in 2023, 20.8% in 2050, and 27.7% in 2075.9 The life expectancy has become 78 years, for men 75.3 years and for women 80.7 years in Turkey in 2017. The elderly population ratio in Turkey increased by 17.1% in the last five years.9 In 2012, while the elderly population was 5 million 682 thousand 3 people, this population has been growing by 17.1% in the last five years, in 2017 it was 6 million 651 thousand 503 people. With this growing elderly population, the need for a measure of geriatric anxiety that is effective, self-reported, widely used, easy to use, and based on the latest research is necessary for assessing geriatric anxiety disorders. One such measure could be the Geriatric Anxiety Scale (GAS). The GAS is a 30-item self-report scale used to measure anxiety symptoms specifically among older adults,10 it comprises three subscales corresponding to the common anxiety symptoms among elderly people (i.e., somatic, cognitive, and affective symptoms, each with between 8 and 9 items).10 Yochim et al.11 demonstrated that the GAS is a useful multidimensional measure of anxiety among elderly adults. We considered the GAS a suitable tool for assessing geriatric anxiety on a wide scale, given that it is accessible, has been translated into various languages (e.g., Persian and German), and assesses numerous dimensions of anxiety symptoms. The purpose of this study was to translate the GAS into Turkish and verify its psychometric properties.

Materials and Methods

Translation of the Geriatric Anxiety Scale

Two of five associates from the Department of English Language Teaching at our affiliated university translated the English version of the GAS into Turkish. The Turkish version was then back-translated into English separately by two different associates. Then, all four of these translators compared the Turkish and English versions to determine whether the items had comparable meanings. Finally, five associates from the Department of Psychological Counseling and Guidance looked over the Turkish version; based on their comments, we made a few minor changes to it. Then, to determine whether elderly adults can easily understand the scale, twenty elderly adults were asked to read over and check the comprehensibility of the GAS items. This showed that the measure was understandable and culturally suitable.

Study design and participants

This was a single-center cross-sectional study conducted in Konya, Turkey in January 2014. The study protocol was approved by the local ethics committee and all participants provided their written informed consent. Participants were recruited via advertisements or through referrals from primary care physicians. We consecutively evaluated whether 200 elderly adults met the criteria for participation. The inclusion criteria were: (a) aged ≥65 years and (b) volunteered to participation. The exclusion criteria were (a) having difficulty in communicating in Turkish, (b) unable to understand the content of the questionnaires;(c) have serious cardiopulmonary dysfunction (e.g., congestive heart failure, unstable angina pectoris, third-stage cardiac block), cancer, or any other life-threatening diseases; and (d) have central or peripheral neurological disease. After applying these criteria, we administered the scales to a total of 183 participants. Data of 13 participants were ultimately excluded because they were incomplete; thus, a total of 170 participants were evaluated. Participants’ ages ranged from 65-94 years (Mage=70.38, SD=9.49). There were 81 men (48%) and 89 women (52%).One hundred two participants reported living with a spouse (60%), 39 with their children (23%), and 29 alone or at an elderly care home (17%). Regarding their education levels, 85 participants had a primary/secondary school education (50%), 19 had graduated from high school (11.2%), 7 had graduated from university (4.1%), 21 were literate but had no formal education (12.4%), and 38 were neither literate nor formally educated (22.4%) (Table 1).

Table 1.

Sociodemographic profile of study participants.

Total sample, n=170
Age mean (SD) 70.38±9.49
Gender, n (%)
    Male 81 (47.6)
    Female 89 (52.3)
Body mass index mean (SD) (kg/m2) 28.35±4.6
Education, n (%)
    None 59 (34.7)
    Elementary and secondary school 85 (50.0 )
    High school 19 (11.1)
    University degree 7 (4.1)
Marital status, n (%) Married 102 (60.0)
    Widowed 56 (32.9)
    Separated/divorced 12 (7.0)
Social and family support, n (%)
    Living with spouse 102 (60.0)
    Living with his/her child 39 (22.9)
    Living in an elderly care home 20 (11.7)
    Living alone 9 (5.2)

Measures

Geriatric Anxiety Scale

Each of the 30 items of the GAS is rated on a 4-point Likert scale corresponding to frequency of symptoms in the past week; the scale ranged from 0 (not at all) to 3 (all the time). The total score of the GAS is calculated using only the first 25 items. The remaining 5 items are not included as part of the GAS score and are to be used clinically. Higher total scores indicated greater levels of anxiety. In the original validation study, the internal consistency of the GAS was excellent for the entire scale and for each subscale (total scale, Cronbach’s α=0.93; cognitive, somatic, and affective subscales, Cronbach’s α=0.90, 0.80 and 0.82, respectively).10 The convergent validity has also been confirmed - namely, the GAS has strong positive relationships with other measures of anxiety.12

Geriatric Depression Scale

The Geriatric Depression Scale (GDS) is a widely used self-report measurement of depression in older adults. This scale was developed by Yesavage et al.13 and contains 30 items, each of which is rated dichotomously (yes or no). Items are scored as either 0 or 1 points and the total score is rated on a scoring grid. Participants with scores of 0-9 are classified as normal, those with scores of 10-19 as mildly depressed, and those with scores of 20-30 as severely depressed.13 Furthermore, the validity and reliability of the Turkish version have been confirmed.14,15

Beck Anxiety Inventory

The Beck Anxiety Inventory (BAI) is a 21-itemself-report measure of the common symptoms of clinical anxiety disorders, such as nervousness and fear of losing control. The inventory was developed by Beck et al.16 Each item is rated on a 4-point scale reflecting the degree to which each symptom disturbs participants; the answer options range from 0 (not at all) to 3 (severely, I could barely stand it). Total scores can range from 0 to 63, with higher scores indicating more severe anxiety.12 The Turkish version of this inventory was devised by Ulusoy et al.17 The psychometric properties of this inventory were appropriate.

Results

Reliability

The internal consistency was evaluated using Cronbach’s alpha coefficient. For the GAS as a whole, the Cronbach’s α was 0.91, which indicated excellent internal consistency. For the somatic, cognitive, and affective subscales, the Cronbach’s α were as 0.87, 0.91, and 0.94, respectively. These coefficients all indicate that the internal consistency was sufficient (Table 2).

Table 2.

Factor Loadings of the Geriatric Anxiety Scale.

Somatic Cognitive Affective
GAS13 0.859 0.305 0.312
GAS11 0.857 0.466 0.482
GAS15 0.853 0.353 0.319
GAS7 0.835 0.385 0.342
GAS6 0.821 0.412 0.426
GAS10 0.800 0.387 0.375
GAS14 0.784 0.420 0.412
GAS20 0.710 0.367 0.373
GAS24 0.305 0.864 0.398
GAS25 0.466 0.863 0.415
GAS16 0.353 0.855 0.364
GAS19 0.385 0.786 0.412
GAS5 0.412 0.768 0.352
GAS18 0.387 0.710 0.403
GAS4 0.461 0.700 0.481
GAS12 0.309 0.553 0.367
GAS1 0.307 0.422 0.837
GAS21 0.302 0.502 0.827
GAS2 0.420 0.465 0.827
GAS23 0.350 0.321 0.805
GAS22 0.409 0.497 0.801
GAS9 0.476 0.507 0.761
GAS8 0.359 0.407 0.637
GAS3 0.461 0.367 0.636
GAS17 0.303 0.312 0.412
%65 %24 %21 %20

Content and construct validity

The mean total score of the GAS was 18.01 (SD=12.78). Ceiling and floor effects observed for all subscale scores and the total score were all at the acceptable level (<5%), indicating appropriate content validity.

To determine whether the sample met the assumptions for factor analysis, which was used to measure the construct validity, we calculated the Kaiser-Meyer-Olkin measure of sampling adequacy (KMO value) and performed Bartlett’s test of sphericity. The KMO value was 0.88, while the Bartlett’s test results were significant (χ2=3317.156, P<0.001). These indicated that the sample was suitable for factor analysis. Table 2 shows the factor loadings of the 25 GAS items. The results of a principle component analysis with an oblique rotation yielded three factors, which is consistent with the original GAS. The factors were labeled cognitive, somatic, and affective symptoms and together described 65% of the variance. More specifically, the somatic subscale explained 24% of the total variance and had factor loadings ranging from 0.71 to 0.85. The cognitive subscale explained 21% of the total variance and its factor loadings ranged from 0.55 to 0.86. Finally, the affective subscale explains 20% of the total variance and its factor loadings ranged from 0.41 to 0.83. A scree plot of the factor analysis results is shown in Figure 1. The correlations between the subscales of the GAS are as follows. First, we found that the somatic subscale had a positive, significant, and moderate relation with the cognitive subscale (r=0.588) (Table 3). There was also a positive, significant, and moderate correlation between the somatic and affective subscales (r=0.581), and a positive, significant, and strong correlation between the cognitive and affective sub-scales (r=0,783) (Table 3).

Figure 1.

Figure 1.

Scree plot of the factor analysis. The factors at the point of being shaped on the horizontal axis were accepted as the number maximum of factors. For eigenvalues, factors with eigenvalues of>1 were accepted, and were excluded otherwise. Four factors had eigenvalues of>1. While the first factor explained 16.215% of the total variance, four factors together explained 49.262%. Beginning from the fourth factor, the tendency was lost in an important level. Thus, the number of factors was limited with 4 to 5 factors.

Table 3.

Correlations between subscales of the Geriatric Anxiety Scale.

n:170 Somatic Cognitive Affective
Somatic r 1.000 0.588* 0.581*
Cognitive r 0.588* 1.000 0.783*
Affective r 0.581* 0.783* 1.000

All tests are two-tailed. *P<0.01

Convergent validity

The results of a correlation analysis showed that the total and subscale scores of the GAS all had significant positive correlations with the GDS and BAI (Table 4). More specifically, there was a weak relationship (albeit still significant) between the somatic subscale and the GDS total (r=0.456), and a moderate correlation between this subscale and the BAI total (r=0.662). The cognitive subscale had a moderate correlation with the GDS (r=0.601) and a strong one with the BAI (r=0.830). The affective subscale had a moderate correlation with the GDS (r=0.557) and a strong correlation with the BAI (r=0.755). Finally, the GAS total score had a moderate correlation with the GDS (r=0.608) and a strong correlation with the BAI (r=0.849) (Table 4).

Table 4.

Convergent validity of the Geriatric Anxiety Scale.

Subscale n:170 GDS Total BAI Total
Somatic r 0.456* 0.662*
Cognitive r 0.601* 0.830*
Affective r 0.557* 0.755*
Total r 0.608* 0.849*

All tests are two-tailed, *P<0.01.

Discussion

The older adult population in Turkey is growing. The percentage of older adults was 5% in 2000 but is expected to reach 23% by 2050.9 With the increased older adult population comes a greater need for valid and brief mental health screenings and assessment in Turkish. The purposes of this study were to translate the Geriatric Anxiety Scale into Turkish, and to initially evaluate the psychometric properties of the new measure in a large sample of community-dwelling older Turkish adults. Anxiety is an important health problem among older adults.6 We thus adapted a highly accessible, easy-to-use measure of anxiety specifically targeting elderly adults for use in Turkey. In this study authors administered the questionnaire to a sample of community dwelling Turkish older adults and the results of the study revealed that the Turkish version of the GAS is promising. Nevertheless, further research is likely needed to confirm the psychometric properties of the Turkish GAS in different samples of the Turkish elderly population, such as with psychiatric problems.

The concurrent validity and internal consistency of obtained for the Turkish version of the scale were coherent and like those obtained for the original version.10 In the original validation study, the internal consistency of the GAS was excellent for the entire scale and for each subscale (total scale, Cronbach’s α = 0.93; cognitive, somatic, and affective subscales, Cronbach’s α= 0.90, 0.80 and 0.82, respectively).10 In the reliability analyses, two items of the Turkish version (items 2 and 3) were removed due to low (below 0.3) item-total correlation coefficients. All 23 items had item-total correlations of 0.412 or more and most items were above 0.7. Concurrent validity between the Turkish GAS and the other two measures of anxiety: BAI and GDS was assessed with Pearson productmoment correlations. The results of correlation coefficient show that Turkish GAS is an effective instrument to measure anxiety in elderly people.

Regarding item properties, the featured items clearly differed in terms of threshold parameters. The GAS was successfully translated into Turkish through the double-blind method. Reliability estimates (Cronbach’s α) of the new measure were all adequate and similar to reliability data for the English version.10 Findings also revealed that the Turkish GAS has adequate convergent validity as compared to the BAI and to a lesser degree, the GDS. Potential advantages of the GAS are that it was designed specifically for older adults and that it provides evaluation of the overall levels of anxiety as well as an assessment of three important facets of anxiety (cognitive, somatic, and affective dimensions).

In Turkish version, the mean total score of the GAS was 18.01 (SD=12.78). This pattern is in accordance with the Iranian sample (mean score = 18.94, SD=12.65). The low means in the US sample10 (mean score = 13.65, SD=9.70), Italian sample18 (mean score = 13.08, SD=7.95) and the German sample19 (mean score = 10.51, SD=8.95) were reported. According to this result, it becomes clear that the mean scores in western societies samples were considerably lower than in the eastern samples. This result is in accordance with the higher prevalence of anxiety among Turkish population (18%), compared to adults in US (between 3 and 14%) or the Germany (4.5%).

There were some important drawbacks to this study. The main limitation is the sample was composed solely of non-clinical elderly people living in community. So, the findings may not be generalizing to other groups of elderly adults, such as psychiatric patients. Additionally, we know anxiety and depression are more closely related than they seem. However, this study does not include assessment of discriminant validity. Thus, following studies should further analyze the Turkish version of the GAS. Although the preliminary results in this study are promising, further research should explore the psychometrics of the Turkish GAS in larger and more diverse samples of Turkish older adults, including psychiatrically impaired older adults.

Conclusions

In summary, the Turkish version of the GAS appears to have has promising utility in an older adult Turkish sample, with adequate internal scale reliability and convergent validity. The findings of present study provide promising evidence for reliability of the Turkish-GAS, its discriminant and convergent validity. Also, with the successful translation of the GAS, highly reliable and valid scale provided. With regard to external criteria, the Turkish-GAS by and large discriminated between cases with and without anxiety related characteristics. Future studies should explore the psychometrics of this measure in larger and more diverse samples of older adults in Turkey, including psychiatrically impaired older adults. Factor analytic studies are needed to evaluate the factor structure of the translated measure.

Acknowledgements

The authors gratefully thank Dr. Segal (dsegal@uccs.edu) from Department of Psychology, University of Colorado at Colorado Springs for his support in preparing the data. The Turkish GAS is available for free for research purposes and may be obtained from Faika Sanal Karahan.

Funding Statement

Funding: none.

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