Determining the predictors associated with the difficulty of adaptation to ageing of hospitalized older adults. Difficulty of older adult to aging ================================================================================================================================================== * Canan D. Barutcu * Hale T. Damar ## Abstract **Objectives:** To determine the predictors associated with the difficulty of adaptation to ageing of hospitalized older adults. **Methods:** This descriptive cross-sectional study was carried out in a university hospital between October 2019 and March 2020. The sample consisted of 247 older adults. Research data were collected using a Visual Analogue Scale (VAS), the Falls Efficacy Scale (FES) International, Hospital Anxiety and Depression Scale, and Assessment Scale of Adaptation Difficulty for the Elderly (ASADE). **Results:** The average age of the patients was 73.90 ± 7.38 years, 22.3% of the patients had a fall history in the last year, and 74.5% had a high fear of falling. The mean FES score of the older adult patients was 35.60 ± 11.09, and the mean VAS score was 1.40 ± 1.36. The mean scores for anxiety was 9.30 ± 2.32 and depression was 10.08 ± 1.96. The mean ASADE total score was 16.56 ± 10.7, role and the self-actualization mode score was 9.05 ± 4.66, interdependence mode score was 2.02 ± 1.02, physiological mode score was 3.00 ± 2.03 and self-concept score was 2.47 ± 2.07. **Conclusion:** The findings revealed that using walking aids, being single, pain, fear of falling, and anxiety affect adaptation difficulties to aging. Anxiety was found to have an effect on all sub-dimensions of adaptation difficulty to aging. There is a need for further studies to determine the correlation between anxiety and the adaptation difficulties experienced by older adults. Keywords: * anxiety * adaptation difficulty * depression * older adult * fear of fall **W**ith the worldwide rapid increase in older adults, the population comprising individuals over aged >60 years, which was 12% in 2015, is projected to increase to 22% and 2.1 billion by 2050.1 In developed countries, an increase of 29% is expected between 2000 and 2015, while this rate is expected to increase by 60-71% by 2030 in underdeveloped countries.2 In line with this trend throughout the world, the older adult population is increasing in Turkey, and has been estimated to reach 12.9% by 2030 and 22.6% by 2060.3 Weakening of physical and cognitive functions, chronic diseases and difficulties in performing daily activities experienced by older adults affect their adaptation to ageing.4 Adaptation of the older adult to ageing is important to be able to cope with these changes and the problems caused by ageing and to prevent problems that may arise in the future.5,6 It has been stated by 81% of older adults that they have adapted to the changes experienced in older age, 94% have reported that they live independently in their own home, 38% that they have not experienced any inadequacies, and 74% have declared that they are actively connected to life. The same study indicated that the well-being of older adults deteriorates as age increases, the state of well-being in old age is positively related to the attitude towards ageing and the level of cognitive competence is negatively related to the level of depression symptoms and the perception of stress.7 In other studies, most older adults have stated that well-being in old age is only achieved with adaptation to ageing.4-6,8 However, the number of relevant studies in the literature that have studied adaptation to ageing is limited. The aim of this study was to determine the predictors associated with difficulty in adaptation to ageing of hospitalized older adults. ## Methods This cross-sectional study was conducted in a Dokuz Eylul University Hospital, Izmir, Turkey between October 2019 and March 2020. The criteria for including older adult patients in the research sample were age ≥65 years, voluntary participation in the research, the ability to understand and speak Turkish, being oriented to person, place, and time, and having no hearing or speech impairments. The study exclusion criteria were defined as any neurological or psychiatric medical diagnosis that affects cognitive status. The study sample consisted of 247 patients. The research data were collected using the Demographic Characteristics Form, Visual Analog Scale (VAS), Falls Efficacy Scale International (FES I), Hospital Anxiety and Depression Scale (HADS), and Assessment Scale of Adaptation Difficulty for the Elderly (ASADE). Permission for the study was obtained from the University Hospital, and approval was granted by the University Ethics Committee (approval no. 2019/67, 03.04.2019). Written informed consent for participation in the study was provided by all the patients. ### Statistical analysis Statistical analyses were performed using the Statistical Package for the Social Sciences, version 22, (IBMCorp, Armonk, NY, USA). The continuous data are presented as mean, median, with standard deviation and range of values respectively; categorical data were expressed as ratio and percentage. ## Results The average age of the patients was 73.90 ± 7.38 years (range, 65-93 years), 22.3% of the patients had a fall history in the last year, and 74.5% had a high fear of falling. The mean FES score of the older adult patients was 35.60 ± 11.09 (range, 16- 64) and the mean VAS score was 1.40 ± 1.36 (range, 0-8). The mean scores for anxiety was 9.30 ± 2.32 and depression was 10.08 ± 1.96. The mean ASADE total score was 16.56 ± 10.7, role and the self-actualization mode score was 9.05 ± 4.66, interdependence mode score was 2.02 ± 1.02, physiological mode score was 3.00 ± 2.03 and self-concept score was 2.47 ± 2.07. The adaptation difficulties to ageing of older adult patients according to the socioeconomic and clinical characteristics are shown in Table 1. The mean scores of the role and self-actualization sub-dimensions on the basis of marital status, education level, presence of chronic diseases, fall history, and using an assistive walking device were found to be statistically significant (*p*<0.005). The mean scores of the Interdependence sub-dimension on the basis of education level, presence of chronic diseases, living alone, fall history, and using an assistive walking device were found to be statistically significant (*p*<0.005). The mean scores of the Physiological Mode sub-dimension on the basis of marital status, presence of chronic diseases, living alone, and using an assistive walking device were found to be statistically significant (*p*<0.005). The mean scores of the Self-Concept sub-dimension on the basis of marital status, presence of chronic diseases, living alone, and using an assistive walking device were found to be statistically significant (*p*<0.005) (Table 1). The Role and Self-Actualization sub-dimensions were found to be positively and statistically significantly related to age (r=0.290), pain (r=0.240), FES (r=0.670), HAD-A (r=0.426) and HAD-D (r=0.231) criteria. The interdependence sub-dimension was found to be positively and statistically significantly related to age (r=0.231), pain (r=0.125), FES (r=0.544), HAD-A (r=0.345), and HAD-D (r=0.122). The physiological mode sub-dimension was found to be positively and statistically significantly related to age (r=0.231), pain (r=0.288), FES (r=0.572), HAD-A (r=0.372), and HAD-D (r=0.246). The sense of self sub-dimension was found to be positively and statistically significantly related to age (r=0.242), pain (r=0.309), FES (r=0.521), HAD-A (r=0.369), and HAD-D (r=0.242) (Table 2). View this table: [Table 1](http://smj.org.sa/content/45/3/317/T1) Table 1 - The difficulties of older adult patients adapting to old age according to socioeconomic and clinical characteristics. View this table: [Table 2](http://smj.org.sa/content/45/3/317/T2) Table 2 - Relationships between adaptation of elderly patients and age, pain, fear of falling, anxiety, and depression. Multiple regression analysis was performed to determine the factors associated with the adaptation difficulty of hospitalized older adults to ageing. The variables that were found to have a moderate and highly significant relationship with the sub-dimensions of the ASADE were included in the regression model. The regression model performed for the role and self-actualization sub-dimension of the ASADE explained 54% of the total variance (F=30.618, *p*<0.001) and of the independent variables included in the model, the presence of chronic diseases (β=0.100, *p*=0.045), using walking aids (β=-0.161, *p*=0.003), fear of falling (β=0.544, *p*<0.001), and anxiety (β=0.252, *p*<0.001) were found to be statistically significant predictors in this context. The regression model performed for the interdependence sub-dimension explained 33% of the total variance (F=14.760, *p*<0.001) and of the independent variables included in the model, being single (β=-0.108, *p*=0.043), fear of falling (β=0.544, p<0.001), and anxiety (β=0.252, *p*<0.001) were found to be statistically significant predictors. The regression model performed for the physiological mode sub-dimension explained 43% of the total variance (F=21.905, *p*<0.001) and of the independent variables included in the model presence of chronic diseases (β=0.139, *p*=0.012), using walking aids (β=0.158, *p*=0.010), pain (β=.123, *p*=0.029), fear of falling (β=0.477, *p*<0.001), and anxiety (β=0.215, *p*<0.001) were found to be statistically significant predictors. The regression model performed for the sense of self sub-dimension explained 38% of the total variance (F=21.905, *p*<0.001) and of the independent variables included in the model, the use of walking aids (β=0.130, *p*=0.040), pain (β=0.392, *p*<0.001), fear of falling (β=0.392, *p*<0.001), and anxiety (β=0.217, *p*<0.001) were found to be statistically significant predictors (Table 3). View this table: [Table 3](http://smj.org.sa/content/45/3/317/T3) Table 3 - Predictors of the adaptation difficulty for the older adults. ## Discussion In this study, the predictors affecting the difficulty of adaptation to ageing were identified. Weakening of the physical abilities and cognitive functions, difficulty in maintaining daily activities and social relationships, fear of approaching death, deterioration in the economic situation experienced as an individual ages, together with other criteria such as living alone and the decrease in the social support systems provided makes it difficult to adapt to ageing.6,9 The results of this study revealed that the main predictors concerning the role and self-actualization sub-dimension of adaptation difficulty to ageing were the presence of chronic disease, using walking aids, fear of falling, and anxiety. Chronic diseases cause deterioration in the general health status of older adults, making them more dependent on others, resulting in difficulty in maintaining daily activities, and weakening social relationships, thereby adversely affecting adaptation to ageing.10 The results of this study revealed that the main predictors concerning the interdependence sub-dimension of adaptation difficulty to ageing were being single, fear of falling, and anxiety. The interdependence of older adults indicates communication of the older adult with another person. Similar studies have reported that married older adults living with their spouse tend to have higher social support scores and experience lower levels of loneliness compared to single individuals.11-13 In this study, the main predictors concerning the physiological mode sub-dimension were determined to be the presence of chronic disease, using walking aids, pain, and fear of falling. The study results showed that individuals with chronic diseases have a lower level of adaptation to ageing. Similar studies in the literature have also indicated that the health status of older adults and the presence of chronic diseases have a negative effect on adaptation to old age.8,14 Anxiety was determined as a predictor in all of the sub-dimensions of adaptation difficulties of the older adults. An individual who feels useless as a result of the changes encountered in old age, who has decreased interest in what is happening in the surrounding environment, and who needs the help of others to maintain daily life activities is more likely to feel lonely, isolated from the environment, and experience depression, and anxiety.15 Therefore, anxiety was found to affect all the sub-dimensions of adaptation difficulty to ageing, diagnosing increased levels of anxiety in older adults and providing the necessary psychological support to be able to reduce these levels may facilitate adaptation. However as there is no comprehensive work on this issue, it can be suggested that further studies are conducted to determine the correlation between levels of anxiety and the adaptation difficulties experienced by older adults and the associated predictors. ### Study limitations There were some limitations to this study, primarily that the data were collected from older adult patients hospitalized in different clinics. It can be recommended that in future studies, longitudinal studies and quasi-experimental studies are made to compare the fear of falling in hospital and at home. In conclusion, the findings of this study showed that the adaptation difficulty to ageing is affected by the use of walking aids and their negative impact on physical capabilities, being single, pain, fear of falling, present of chronic disease and anxiety. It has been determined that anxiety affects all sub-dimensions of difficulty adapting to aging. There is also a need for experimental studies aimed at improving the adaptation to ageing of older adults. ## Acknowledgment *The authors gratefully acknowledge Caroline Walker for the English language editing.* ## Footnotes * **Disclosure.** Authors have no conflict of interests, and the work was not supported or funded by any drug company. * Received October 4, 2023. * Accepted December 17, 2023. * Copyright: © Saudi Medical Journal This is an Open Access journal and articles published are distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC). Readers may copy, distribute, and display the work for non-commercial purposes with the proper citation of the original work. ## References 1. 1.World Health Organization. Ageing and Health 2018. [Updated 2018 Dec 5; Accessed 2022 September]. Available from: [https://www.who.int/health-topics/ageing#tab=tab\_1](https://www.who.int/health-topics/ageing#tab=tab_1) 2. 2.United Nations. Department of Economic and Social Affairs, Population Division. World Population Ageing 2019-Highlights New York: United Nations. [Updated 2019 May 20; Accessed 2022 August]. Available from: [https://doi.org/10.1136/ejhpharm-2013-000436.195](http://smj.org.sa/lookup/doi/https://doi.org/10.1136/ejhpharm-2013-000436.195) 3. 3.Turkish Statistical Instıtute. Elderly with statistics, 2018. [Updated 2018 Jan 12; Accessed 2022 July]. Available from: [https://tuikweb.tuik.gov.tr/HbPrint.do?id=27595](https://tuikweb.tuik.gov.tr/HbPrint.do?id=27595) 4. 4.Aşiret GD, Yiğit H. The effect of older people’s adaptation to old age on their health-related quality of life. Life: Int J health Life Sci 2018; 4: 14-25. 5. 5.Kütmeç Yılmaz C. Evaluation of the relationship between older people’s adaptation to old age and healthy life style behaviors: A descriptive study. Mersin University Journal of Health Sciences 2020; 13: 305–317. 6. 6.Şişman FN, Kutlu Y. Development of an assessment scale of adaptation difficulty for the elderly (ASADE) and its psychometric properties. J Psychiatr Nurs 2016; 7: 25–33. 7. 7.Jeste DV, Depp CA, Vahia IV. Successful cognitive and emotional aging. World Psychiatry 2010; 9: 78–84. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1002/j.2051-5545.2010.tb00277.x&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=20671889&link_type=MED&atom=%2Fsmj%2F45%2F3%2F317.atom) [Web of Science](http://smj.org.sa/lookup/external-ref?access_num=000279039200003&link_type=ISI) 8. 8.Kütmeç Yılmaz C, Kıl A. The relationship between the older adults’ adaptation to old age and perceived social support level. Cukurova Medical Journal 2020; 45: 338–346. 9. 9.Kulakçı Altıntaş H, Ayaz-Alkaya S. Adaptation difficulty and religious coping styles for the elderly in Turkey. Psychogeriatrics 2020; 20: 865-870. 10. 10.Maresova P, Javanmardi E, Barakovic S. Consequences of chronic diseases and other limitations associated with old age–a scoping review. BMC Public Health 2019; 19: 1-17. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1186/s12889-019-6576-9&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fsmj%2F45%2F3%2F317.atom) 11. 11.Dahlberg L, Andersson L, McKee KJ, Lennartsson C. Predictors of loneliness among older women and men in Sweden: A national longitudinal study. Aging Ment Health 2015; 19: 409-417. [CrossRef](http://smj.org.sa/lookup/external-ref?access_num=10.1080/13607863.2014.944091&link_type=DOI) [PubMed](http://smj.org.sa/lookup/external-ref?access_num=25126996&link_type=MED&atom=%2Fsmj%2F45%2F3%2F317.atom) 12. 12.De Jong Gierveld J, Keating N, Fast JE. Determinants of loneliness among older adults in Canada. Can J Aging 2015; 34: 125-136. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fsmj%2F45%2F3%2F317.atom) 13. 13.Gustafsson S, Berglund H, Faronbi J, Barenfeld E, Ottenvall Hammar I. Minor positive effects of health-promoting senior meetings for older community-dwelling persons on loneliness, social network, and social support. Clin Interv Aging 2017; 12: 1867–1877. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fsmj%2F45%2F3%2F317.atom) 14. 14.Dadgari A, Hojati H, Mirrezaie SM. The relationship between the risk of falling and fear of falling among aged hospitalized patients. Nurs Pract Today2020; 7: 30-37. 15. 15.Philip KEJ, Polkey MI, Hopkinson NS. Social isolation, loneliness and physical performance in older-adults: fixed effects analyses of a cohort study. Sci Rep 2020; 10; 13908. [PubMed](http://smj.org.sa/lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fsmj%2F45%2F3%2F317.atom)