Skip to main content

Development and psychometric testing of the Aesthetics of Everyday Life Scale in Aging (AELSA)

Abstract

Background

The aesthetics of everyday life improves physical and mental health and social communication. This study aims to develop and test a novel instrument that assesses the aesthetics of the everyday life of older adults.

Methods

A mixed-methods study with a sequential exploratory approach was conducted from November 2021 to December 2022. Item generation and questionnaire formation were developed through interviews with older adults and a literature review (stage 1). A cross-sectional study was then conducted to test the psychometric properties of the novel scale among 380 older adults referred to Urban Comprehensive Health Service Centers (stage 2). The construct validity was tested via exploratory factor analysis (EFA) and with the principal component analysis method. Internal consistency and reliability of the scale were evaluated with Cronbach's alpha and test–retest with a 2-week interval.

Results

The initial scale was prepared with 39 items. In stage 2, EFA revealed a seven-factor model with 34 items. Internal consistency was acceptable for extracted sub-scales (Cronbach's alpha range: 0.67- 0.93) and the total score (0.926). The intra-class correlation coefficient for test–retest reliability was 0.90.

Conclusions

The AELSA is a valid and reliable instrument for evaluating the aesthetics of everyday life in older adults. the scale will help policymakers in formulating interventions to improve mental health and well-being in older adults. Moreover, Further studies is need to provide more support of construct validity.

Peer Review reports

Background

Aesthetics is a vast domain, and the aesthetics of everyday life is a part of that domain that rejects art-centered aesthetics. This domain points to the continuities between aesthetic experience and everyday experience [1, 2]. The aesthetics of everyday life fall outside the realm of aesthetic theory and study the aesthetic experience of objects and daily acts that are not traditionally referred to as aesthetic [3].

According to Kant's theory, there is no objective feature that beautifies an object or act, because the beauty of an object depends on one's judgment and imagination. Based on this theory, older adults have personal tastes or preferences that make up their daily lives [4]. Also, Nietzsche believes that attention to older adults' aesthetics of everyday life is required to enhance lives and justify reasons for them to continue living [5]. Hegel supports the idea that the aesthetics of older adults help them to enhance their social connection and find activities that interest them [6].

Older adults' desire to have successful aging and the aesthetics of everyday life motivates them to have aesthetic experiences in life [7]. There are several studies on the possible relationships between aesthetics and happiness or satisfaction with life [8,9,10], which signal that old people recognize the beauty standards of society and seek to achieve them [9]. Older adults gradually become inactive and require assistance from other individuals [6]. Therefore, they require a method that they can use to overcome such effects. The aesthetics of everyday life may be the answer to physical strains and disorders among the older population [11]. The aesthetics of everyday life enable older adults to maintain the appearance of the body, which results in high self-esteem, improved relationships with others, and physical and psychosocial health simultaneously [12, 13]. However, the aesthetics of everyday life debate among older adults has not yet been fully developed [11].

Healthcare providers, in addition to focusing on diseases and disorders, are committed to providing comprehensive care by understanding concepts related to human empowerment, well-being, and happiness [14]. They should develop tools for these concepts to assess the condition of older adults and perform the necessary interventions [15]. The literature review of the databases shows that, to date, no specific tools have been developed to measure the aesthetics of daily life for older people. Instruments such as Values in Action [16], the HEXACO Personality Inventory [17], and the Oxford Happiness Inventory [18] have limited items to measure aesthetic appreciation, which are not specific to older people.

Given the absence of a specific tool to measure the aesthetics of everyday life and the dependence of this concept on cultural and social contexts, designing a tool that captures older adults' aesthetics of everyday life is imperative. Thus, this study aims to develop the aesthetics of everyday life scale for the older adults and test its psychometric properties.

Methods

Design

A mixed-methods study with a sequential exploratory approach was conducted from November 2021 to December 2022. The study aimed to develop and test a novel instrument that assesses the aesthetics of the everyday life of older adults.

The aesthetics of everyday life scale for older adults was developed in two stages. First, items were generated with qualitative research and a literature review. Second, the scale's psychometric properties were tested among older adults referring to the Urban Comprehensive Health Service Centers (UCHSCs). A summary of the study steps and its results is presented in Table 3.

Stage 1: Questionnaire construction

The items were extracted based on 16 semi-structured and face-to-face interviews on the topic of the aesthetics of everyday life for older adults. The items determined understanding of the aesthetic of life in several domains. Domains were "art as a source of peace"," environment beauty as the source of vitality, "spiritual beauty and the transcendence of the soul", "the family, and others synonymous with beauty, "fun and communication", "independence and living with dignity", and "beauty of appearance and physical health" in old age. In addition to interviews, potential items were also identified through a literature review and following up on three questionnaires, including the HEXACO Personality Inventory [17], the Values in Action [16], and the Oxford Happiness Inventory [18]. The item-generation process resulted in an initial scale, which included 61 items, and all items were formulated as a 5-point Likert–type scale that ranged from 5 = strongly agree to 1 = strongly disagree.

To maximize the qualitative face validity of the scale, a meeting was organized with the 10 older adults. They were asked to examine the scale items in terms of their difficulty, ambiguity in the meaning of words, and the relationship of the items with the questionnaire's purpose to improve scale items.

In addition, to determine quantitative face validity, the same older adults were asked to rate the importance of each item on a 5-point Likert scale. The impact score of items was calculated using the following formula: impact score = frequency × importance [19].

The qualitative and quantitative content validity was examined in a subsample (12 people). The scale was sent to experts (5 experts on the questionnaire design and methodology, four psychologists, and three gerontologists, and they were asked to comment on the grammar, wording, item allocation, and scoring of the scale items. Following the experts’ comments, changes were made to the wording of some items.

The quantitative validity of the scale was evaluated using the content validity ratio (CVR) and content validity index (CVI) [20]. Therefore, the same experts were asked to rate the necessity of each item on a 3-point scale (is not essential, is useful but not essential, and is essential 1 to 3, respectively). Then CVR was calculated based on the following formula: CVR = (Ne—N/2)/ (N/2), in which Ne is the number of experts who selected the "essential" option and N is the total number of experts. The numeric value of CVR was determined by Lawshe Table [21]. The items with CVR values greater than 0.56 were accepted.

To evaluate CVI, the same experts were asked to rate the relevancy of items on a 4-point Likert scale (very relevant = 4, relevant = 3, somewhat relevant = 2, not relevant = 1). The CVI was calculated by dividing the number of experts who selected “very relevant” or, “relevant” by the total number of experts. Items with values lower than 0.70 were deleted.

Stage 2: Psychometric testing

A cross-sectional study was conducted to evaluate the construct validity of the 39-item scale among older adults referring to UCHSCs from November 2021 to December 2022. The inclusion criteria were older adults 60 years and older, residing in their own private homes, and not having cognitive impairment according to the Mini-Mental State Examination. The sample size for construct validity was calculated based on the number of scale items. Recommendations range from 2 to 20 participants per item [22]. In this study, 10 participants were considered per item on the scale.

In this study, the multi-stage cluster sampling technique was used to select older adults. There are 30 UCHSCs in Kashan. First, 35 percent of the centers (10 centers) were randomly selected. The researcher referred to selected UCHSCs, Kashan, and received a list of older adults 60 years and older based on their electronic record. Then, 390 older people were selected using the probability proportionate to the size sampling method.

Instruments

In addition to the newly developed AELSA, the biographical information questionnaire was used to collect data. The participants were invited to UCHSCs by phone. First, they signed an informed consent form. Then, the questionnaires were given to the participants to fill out. For illiterate participants, the researcher read the items and wrote the answers in the questionnaire. For each of the older adults who refused to fill out the questionnaires, another sample was randomly selected from the same center.

Scale’ Reliability and stability

Internal consistency of the AELSA was evaluated by Cronbach's alpha in a subsample (15 older adults). The test–retest reliability was performed on the same older adults at intervals of two weeks. The intraclass correlation coefficient (ICC) was estimated based on the absolute agreement specified and a 2-way mixed-effects model between baseline and follow- up [23].

The standard error of measurement (SEM) indicates the variation in the measurement errors for a test. The difference between the test score—retest score and its standard deviation (SD difference) was determined. Then SEM was calculated with the following formula: SEM = SD difference /√2) [19]. Furthermore, the Smallest Detectable Change (SDC) of AELSA was calculated with the following formula: (SDC95% = SEM × √2 × 1.96). The SDC is the minimum change that participants must show on the instrument with 95% confidence that the observed change is actual and not just a measurement error [23].

Data analysis

Statistical analysis was performed using SPSS 16.0 (SPSS Inc., Chicago, IL, USA). The construct's validity was tested by applying exploratory factor analysis (EFA). Principal Component Analysis and the Varimax rotation method technique were applied to the extraction of factors. Principal components analysis (PCA) is technique to variable-reduction. PCA tests whether all the items included in the scale measure the construct. Namely it shows which items are not representative of the measured construct and should be removed from the scale. Principal components are a few linear combinations of the original variables that maximally explain the variance of all the variables [24]. Varimax rotation is an important step in Factor Analysis and Principal Component Analysis. Factor rotation results in a small number of important variables highlighted, which makes it easier to interpret results [25]. The Kaiser–Meyer–Olkin (KMO) test was used to determine the sampling adequacy of the data for exploratory factor analysis. The correlation in the data was determined by applying Bartlett's Test of Sphericity. Orthogonal factors with an Eigenvalue > 1.0 were required to explain a total variance > 60. Factor loadings less than 0.4 were suppressed. Cronbach's coefficient was used to evaluate the internal consistency of the scale. The ICC was used for test–retest reliability at a two-week interval. The results were considered significant at p < 0.05.

Results

In the final analysis, 380 questionnaires were used to construct validity of the aesthetics of everyday life scale for older adults. Ten questionnaires were omitted because they were incomplete. Most of the participants (54.2%) were male. The participants were 60 to 92 years old. 76.3% of the participants were married, and 63.7% had an education in high school or lower. In terms of occupational, 41.8% of the participants were retired, and 40.5 were housekeepers. Furthermore, most of the participants (68.2%) had sufficient income. The demographic characteristics of older adults are shown in Table 1.

Table 1 Demographic characteristics of the older adults

Stage 1: scale construction

The item-generation process resulted in a preliminary scale of 61- items. The items were formulated from strongly agree = 5 to strongly disagree = 1.

Face and content validity

As displayed in Table 3, in this stage, the items were evaluated in terms of difficulty, relevance, and ambiguity by ten older people. The results indicated the relevance of items with the questionnaire's purpose and not having ambiguity in understanding the items. Two items were merged due to semantic overlap. Eight items had an impact score of ≤ 1.5 and were deleted [19].

Content validity

The qualitative content validity was examined based on the 12 experts' opinions, and suggestion modifications were applied to the nine items. According to Lawshe's table, CVR was accepted for 45 items with a coefficient value > 0.67. The average CVI (S-CVI/Ave) was = 0.94, indicating excellent content validity of the AELSA. More information is shown in Table 3 [26].

Construct validity

Construct validity was evaluated using data from a large sample of older adults (n = 380). EFA for the AELSA was performed using Principal Component Analysis (PCA) with a Promax rotation method. Seven factors with an eigenvalue of > 1.0 were extracted based on the Kaiser–Guttman rule. The KMO (0.0.84) and Bartlett's test of Sphericity (7028.663; df = 561; p < 0.001) indicated acceptable sampling adequacy. Factor loadings ≥ 0.40 were considered for each factor. The run of EFA led to the removal of 3 cross-loading and low-loading (< 0.400) items. Based on the conducted PCA, the AELSA included a total of 34 items over 7 components. The results of the factor analysis are shown in Table 2.

Table 2 AELSA factor analysis and internal reliability

Internal consistency and test re-test reliability

As displayed in Table 2, Internal consistency using Cronbach's alpha, for the 34 items of the scale was high (0.926), indicating that some questions may be redundant. Alpha values between 0.70 and 0.90 are considered excellent, whereas values < 0.70 indicate inconsistency, and values > 0.90 indicate redundancy of items [27].

The AELSA had excellent reliability (ICC = 0.90, 95% CI = 0.85–0.95). The ICC estimates above 0.8 as excellent, between 0.6 and 0.79 as strong, between 0.4 and 0.59 as moderate, and below 0.4 as poor [28]. Furthermore, the calculated values of SEM and SDC were 1.38 and 3.81, respectively (Table 3).

Table 3 Development of candidate items

Discussion

The study developed a novel scale to measure the aesthetics of everyday life based on the experiences of older adults in an Iranian population aged 60 and older. Development and validation of the AELSA were performed using qualitative and quantitative methods and demonstrated that the scale is valid, consistent, and reliable. The EFA showed an explained variance of acceptable for scale that confirms its ability to measure the concept of aesthetics of everyday life in older adults.

The EFA results showed the highest percentage of variance explained was related to the subscale of family and others. The literature review supported this finding that family support, family interactions and relationships, and family structures, play an important role in maintaining the physical, mental, and social health of older adults and increases their readiness to face life stresses in Asian communities [29]. A study in China revealed that communicating with relatives by phone improves older rural adult’s mental health [30]. Expressing devotion and affection to older adults can help them feel valued [31, 32]. Interaction with others result in stimulating brain cells, improving cognitive function, reducing the risk of dementia, and improving quality of life among older adults [33, 34]. It seems social interactions and family relationships, as an aesthetic experience affect an individual mental and social health by instilling a sense of self-efficacy.

The percentage of variance explained for five subscales (Art and artistic activities, Communication and social presence, Spirituality and transcendence of the soul, Beauty of appearance and physical health, and Independence in life) were almost close together. These results indicate that the importance of other aspects of esthetics are almost equal in older adult life. A qualitative study revealed that aesthetic experiences of older adults is incorporated in three domains include in maintaining independence, significant others’ connectedness, and experiences that lead to inner peace [2]. Highmore (2011) argues that aesthetics of the everyday have an extraordinary power that affects all aspects of older adults’ everyday life and guides their actions in the best possible way. However, it is often unrecognized [35]. For example, art activities (participatory and receptive) as an aesthetic experience can improve memory, lower stress levels, help maintain social engagement, and offer a therapeutic tool for physical and psychological well-being in older adults and vulnerable individuals [36,37,38]. Jadidi et al. (2021) argue that older adults use religious coping strategies to express their spiritual needs (meaning, hope and peace) and to get out of distress which leads to a degree of their spiritual awakening. Hence, spirituality and transcendence of the soul is considered as aesthetics of everyday life among older adults [39].

In the present study, beauty of appearance and physical health subscales also accounted for a high percentage of variance. The body is a significant aspect of a person’s identity that helps older adults to interact with various environment [40, 41]. Body aesthetics enables older adults to understand the inner and outer aspects of their bodies [40,41,42], and develop their perceptions, behaviors and thoughts. When everyday life is considered as a form of aesthetics, the body can also be regarded as an aesthetic experience for older adult. Therefore, older adults try to have a living, sensitive, dynamic and perceptual body [40,41,42,43],

The present study has several strengths. Development of the everyday aesthetics concept and the item-generation process were done by integrating both deductive and inductive approaches. This could help to develop a comprehensive scale. Furthermore, face validity was evaluated by the target group to ensure that AELSA is understandable, and measures the intended structure and concept. The study samples were drawn with a multi-stage random sampling method from the general older adult population. Nevertheless, further psychometric testing in different regions and cultures on the aging population is warranted to prove the reliability and stability of the AELSA. The study faced limitations that open avenues for further research. It was not possible to measure discriminant validity as subcategories of construct validity due to the limited study time. Therefore, it is suggested that another study be conducted to assessing construct validity with confirmatory factor analysis and discriminant validity to provide more support for construct validation [44]. In addition, the participants in the study were older adults. The number of items on the developed scale (AELSA) and the background information questionnaire were large. In order to increase the accuracy of the older adults in answering the questions and to prevent their stress, it is suggested evaluating the concurrent validity in further studies.

Conclusion

The AELSA is the first scale designed to measure the aesthetics of everyday life in older adults. The scale has acceptable stability, reliability, and validity and could be used as the assessment tool for understanding the level of older adults' aesthetics of everyday life. This scale can help older adults enhance their inner peace, and maintain their well-being and independence in front of everyday challenges. In addition, the scale will help policymakers in formulating interventions to improve mental health and quality of life in older adults.

Availability of data and materials

No datasets were generated or analysed during the current study.

Abbreviations

UCHSC:

Urban Comprehensive Health Service Centers

AELSA:

Aesthetics of Everyday Life Scale in Aging

EFA:

Exploratory Factor Analysis

CVR:

Content Validity Ratio

CVI:

Content Validity Index

ICC:

Intraclass Correlation Coefficient

SEM:

The standard error of measurement

SD:

Standard deviation

SDC:

Smallest Detectable Change

KMO:

Kaiser–Meyer–Olkin

PCA:

Principal Component Analysis

References

  1. Carter CL, Yuedi L, editors. Aesthetics of everyday life: East and West. Cambridge Scholars Publishing; 2014. https://www.amazon.com/Aesthetics-Everyday-Life-East-West/dp/1443860298.

  2. Izadi-Avanji FS, Zamani N, Azizi-Fini I, Mohammadnejad E. Perception of the life aesthetics among older adults. Educ Gerontol. 2022;48(1):1–12. https://doi.org/10.1080/03601277.2021.2014715.

    Article  Google Scholar 

  3. Leddy T. Defending everyday aesthetics and the concept of pretty’. Contemp Aesthetics (Journal Archive). 2012;10(1):8 (https://digitalcommons.risd.edu/liberalarts_contempaesthetics/vol10/iss1/8).

    Google Scholar 

  4. Porter J. Beauty, Value, and the Aesthetics of Life in Kant and Aristotle. Erud Repub. 2017;5(1):1–22 (https://arcade.stanford.edu/rofl/beauty-value-and-aesthetics-life-kant-and-aristotle).

    Google Scholar 

  5. Menary R. The aesthetic niche. Br J Aesthet. 2014;54(4):471–5. https://doi.org/10.1093/aesthj/ayu045.

    Article  Google Scholar 

  6. Perniola M. 20th Century Aesthetics: Towards A Theory of Feeling. Verdicchio M (Translator). London/ New York: Bloomsbury Publishing; 2012. https://www.bloomsbury.com/us/20th-century-aesthetics-9781441118509/.

  7. Zamani N, et al. Aesthetics of everyday life and its related factors among older adults in Kashan (2021–2022). BMC Geriatr. 2023;23(1):764. https://doi.org/10.1186/s12877-023-04412-0.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kowalski JP, Schemes C, Saraiva JIA, Magalhães ML. Mulheres idosas: percepções sobre beleza e envelhecimento. Para Mujeres. 2017;3(13):76.

    Google Scholar 

  9. Romanssini SF, Scortegagna HDM, Pichler NA. Aesthetics and happiness in the perception of old people users of beauty products. Rev Bras Geriatr Gerontol. 2020;23(3):e200028. https://doi.org/10.1590/1981-22562020023.200028.

    Article  Google Scholar 

  10. Lobos G, Lapo MDC, Schnettler B. In the choice between health and money, health comes first: an analysis of happiness among rural Chilean elderly. Cad Saude Publica. 2016;32(5):e00032215. https://doi.org/10.1590/0102-311X00032215.

    Article  PubMed  Google Scholar 

  11. Chang KC, Chou MJ. On the life aesthetics of aging people-slowness makes life beautiful. Univers J Educ Res. 2015;3(12):967–92. https://doi.org/10.13189/ujer.2015.031203.

    Article  Google Scholar 

  12. Schellekens E, Goldie P. The aesthetic mind: philosophy and psychology. Oxford University Press; 2011. https://doi.org/10.1093/acprof:oso/9780199691517.001.0001.

  13. Izadi-Avanji FS, Mohseni R, Gilasi H. Social Health Status and Its Related Factors in Older Adults. J Holist Nurs Midwifery. 2023;33(3):222–9. https://doi.org/10.32598/jhnm.33.3.2518.

    Article  Google Scholar 

  14. Van Druten VP, Bartels EA, Van de Mheen D, De Vries E, Kerckhoffs AP, Nahar-van Venrooij LM. Concepts of health in different contexts: A scoping review. BMC Health Serv Res. 2022;22(1):1–21. https://doi.org/10.1186/s12913-022-07702-2.

    Article  Google Scholar 

  15. Miyahara K. Exploring social aesthetics: aesthetic appreciation as a method for qualitative sociology and social research. Int J Japanese Sociol. 2014;23(1):63–79. https://doi.org/10.1111/ijjs.12025.

    Article  Google Scholar 

  16. Peterson C, Seligman M. Character strengths and virtues: A handbook and classification. 1st edition. Oxford University Press. 2004. https://doi.org/10.1176/appi.ajp.162.4.820-a.

  17. Ashton MCaL K. Empirical, theoretical, and practical advantages of the HEXACO model of personality structure. Pers Soc Psychol Rev. 2007;11(2):150–66. https://doi.org/10.1177/1088868306294907.

    Article  Google Scholar 

  18. Hills P, Argyle M. The Oxford Happiness Questionnaire: a compact scale for the measurement of psychological well-being. Pers Individ Differ. 2002;33(7):1073–82. https://doi.org/10.1016/S0191-8869(01)00213-6.

    Article  Google Scholar 

  19. Polit DF. Getting serious about test–retest reliability: a critique of retest research and some recommendations. Qual Life Res. 2014;23(6):1713–20. https://doi.org/10.1007/s11136-014-0632-9.

    Article  PubMed  Google Scholar 

  20. Almanasreh E, Moles R, Chen TF. Evaluation of methods used for estimating content validity. Res Soc Adm Pharm. 2019;5(2):214–21. https://doi.org/10.1016/j.sapharm.2018.03.066.

    Article  Google Scholar 

  21. Lawshe C. A quantitative approach to content validity. Pers Psychol. 1975;28(4):563–75.

    Article  Google Scholar 

  22. Hair JF, Babin BJ, Anderson RE, & Black WC. Multivariate data analysis. 8th ed. England: Pearson Prentice; 2019. https://books.google.com/books/about/Multivariate_Data_Analysis.html?id=0R9ZswEACAAJ.

  23. Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–63. https://doi.org/10.1016/j.jcm.2016.02.012.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Greenacre M, Groenen PJ, Hastie T, d’Enza AI, Markos A, Tuzhilina E. Principal component analysis. Nat Rev Methods Primers. 2022;2(1):100. https://doi.org/10.1038/s43586-022-00184-w.

    Article  CAS  Google Scholar 

  25. Acal C, Aguilera AM, Escabias M. New modeling approaches based on varimax rotation of functional principal components. Math. 2020;8(11):2085. https://doi.org/10.3390/math8112085.

    Article  Google Scholar 

  26. L’Ecuyer KM, Subramaniam DS, Reangsing C. Development of the Preceptor Self-Assessment Tool and use of the content validity index. J Contin Educ Nurs. 2020;51(10):469–76. https://doi.org/10.3928/00220124-20200914-09.

    Article  PubMed  Google Scholar 

  27. Weijer RH, Hoozemans MJ, van Dieën JH, Pijnappels M. Construct validity and reliability of the modified gait efficacy scale for older adults. Disabil Rehabil. 2022;44(11):2464–9. https://doi.org/10.1080/09638288.2020.1840638.

    Article  CAS  PubMed  Google Scholar 

  28. Weijer RH, Hoozemans MJ, van Dieën JH, Pijnappels M. Consistency and test–retest reliability of stepping tests designed to measure self-perceived and actual physical stepping ability in older adults. Aging Clin Exp Res. 2019;31:1765–73. https://doi.org/10.1007/s40520-018-01112-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Zulfitri R, Sabrian F. Sociodemographic characteristics and psychosocial wellbeing of elderly with chronic illnesses who live with family at home. Enferm Clin. 2019;29:34–7. https://doi.org/10.1016/j.enfcli.2018.11.014.

    Article  Google Scholar 

  30. Bai Y, Bian F, Zhang L, Cao Y. The impact of social support on the health of the rural elderly in China. Int J Environ Res. 2020;17(6):2004. https://doi.org/10.3390/ijerph17062004.

    Article  Google Scholar 

  31. Peng C, Kwok CL, Law YW, Yip PS, Cheng Q. Intergenerational support, satisfaction with parent–child relationship and elderly parents’ life satisfaction in Hong Kong. Aging Ment Health. 2019;23(4):428–38. https://doi.org/10.1080/13607863.2017.1423035.

    Article  PubMed  Google Scholar 

  32. Shapero BG, Greenberg J, Pedrelli P, Desbordes G, Lazar SW. Mindfulness-based cognitive therapy. The Massachusetts General Hospital Guide to Depression: New Treatment Insights and Options. 2019:167–77. https://doi.org/10.1007/978-3-319-97241-1-13.

  33. DehiAroogh M, MohammadiShahboulaghi F. Social participation of older adults: a concept analysis. Int J Community Based Nurs Midwifery. 2020;8(1):55–72. https://doi.org/10.30476/IJCBNM.2019.82222.1055.

    Article  Google Scholar 

  34. Sadang JM, Palompon DR, Suksatan W. Older adults’ experiences and adaptation strategies during the midst of COVID-19 crisis: a qualitative instrumental case study. Ann Geriatr Med Res. 2021;25(2):113–21. https://doi.org/10.4235/agmr.21.0051.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Highmore B. Ordinary lives: studies in the everyday.1st ed. London: Routledge; 2010. https://doi.org/10.4324/9780203842379.

  36. Mastandrea S, Fagioli S, Biasi V. Art and psychological well-being: Linking the brain to the aesthetic emotion. Front psychol. 2019;10:739. https://doi.org/10.3389/fpsyg.2019.00739.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Todd C, Camic PM, Lockyer B, Thomson LJ, Chatterjee HJ. Museum-based programs for socially isolated older adults: Understanding what works. Health Place. 2017;48:47–55. https://doi.org/10.1016/j.healthplace.2017.08.005.

    Article  PubMed  Google Scholar 

  38. Thomson LJ, Lockyer B, Camic PM, Chatterjee HJ. Effects of a museum-based social prescription intervention on quantitative measures of psychological wellbeing in older adults. Perspect Public Health. 2018;138(1):28–38. https://doi.org/10.1177/1757913917737563.

    Article  PubMed  Google Scholar 

  39. Jadidi A, Khodaveisi M, Sadeghian E, Fallahi-Khoshknab M. Exploring the process of spiritual health of the elderly living in nursing homes: A grounded theory study. Ethiop J Health Sci. 2021;31(3). https://doi.org/10.4314/ejhs.v31i3.16

  40. Shusterman R. Thinking through the body: Essays in somaesthetics. New York: Cambridge University Press; 2012. https://doi.org/10.1017/CBO9781139094030.

  41. Shusterman R. Body and the arts: the need for somaesthetics. Diogenes. 2012;59(1–2):7–20. https://doi.org/10.1177/0392192112469159.

    Article  Google Scholar 

  42. Chatterjee P. Health and wellbeing in late life: perspectives and narratives from India. Springer Nature; 2019. https://doi.org/10.1007/978-981-13-8938-2.

  43. Anton SD, Woods AJ, Ashizawa T, Barb D, Buford TW, Carter CS, et al. Successful aging: advancing the science of physical independence in older adults. Ageing Res Rev. 2015;24:304–27. https://doi.org/10.1016/j.arr.2015.09.005.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Brown TA. Confirmatory factor analysis for applied research. 2nd ed. New York: NY. Guilford publications; 2015.

    Google Scholar 

Download references

Acknowledgements

This article was extracted from the master's thesis in geriatric nursing approved by the vice-chancellor for research at Kashan University of Medical Sciences (99161). We would like to thank the vice-chancellor for the research and all older adults who participated in this study.

Funding

This study was supported by the deputy of research at Kashan University of Medical Sciences.

Author information

Authors and Affiliations

Authors

Contributions

FSI and NZ contributed to the conception and design, data analysis, and writing of the manuscript. NZ, FSI, IA, and EM made a significant contribution to re-data analysis and revising the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Fatemeh Sadat Izadi-Avanji.

Ethics declarations

Ethics approval and consent to participate

The Institutional Review Board (Project No. 99161), and the Research Ethics Committee of Kashan University of Medical Sciences (Ethics code. IR.KAUMS.NUHEPM.REC.1399.068) approved the study protocol. All steps of study were followed according to the Declaration of Helsinki. The researcher explained the study objectives and process of conducting the research to the participants and assured them that their information would remain confidential, and the research results would be made available to them if they asked. Participants signed an informed consent form. For illiterate participants, informed consent was obtained from their legal guardians.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Izadi-Avanji, F.S., Zamani, N., Azizi-Fini, I. et al. Development and psychometric testing of the Aesthetics of Everyday Life Scale in Aging (AELSA). BMC Geriatr 24, 259 (2024). https://doi.org/10.1186/s12877-024-04874-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12877-024-04874-w

Keywords