Volume 21, Issue 2 (6-2024)                   J Res Dev Nurs Midw 2024, 21(2): 22-28 | Back to browse issues page


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Delbari A, Jenabi Ghods M, Saatchi M, Bidkhori M, Tabatabaei F, Foroughan M et al . Prevalence of depression, anxiety, and the related factors in over 50 years adults: Findings from Ardakan cohort study on aging. J Res Dev Nurs Midw 2024; 21 (2) :22-28
URL: http://nmj.goums.ac.ir/article-1-1603-en.html
1- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
2- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran; Department of Nursing, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
3- Department of Biostatistics and Epidemiology, School of Rehabilitation, University of Social Welfare and Rehabilitation Science, Tehran, Iran; Health in Emergency and Disaster Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
4- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran , El.hooshmand@uswr.ac.ir
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Introduction
The number of older adults worldwide has significantly grown in the past few decades and has risen from 130 million in 1950 to more than 600 million in 2017 (1). Iran is not exempt from moving towards increased old age population like other countries worldwide and in the region. Based on 2015 census, approximately 7.5 million Iranians are aged over 60, with an estimated projection of this number reaching around 19 million by 2041 (2).
During old age, factors, such as reduced functional status, reduced mobility, retirement, chronic diseases, the death of a spouse, and living alone contribute to numerous physical and mental pathological states (3,4). Social constraints may lead to older persons losing control over their life, which can result in health issues as well as unpleasant feelings including depression, poor self-esteem, social isolation, and Distress (5). Depression is the most severe outcome of these emotions. It is characterized by a continuous sense of melancholy and a loss of interest in things that one formerly found pleasurable (6); this condition affects 10-20% of older adults worldwide (7). Depression is often accompanied by anxiety in this population which predicts a worse prognosis, and a future threat (8). The prevalence of depression is estimated between 11.6 to 81.1% in older people (9, 10). Based on the Longitudinal Study of Aging in Amsterdam (LASA), 5.4% and 10.8% of older adults reported anxiety and depression (11), indicating that these diseases may coexist and frequently occur in older adults (7,12).
Anxiety and depression are complex and multifaceted disorders caused by a variety of factors. As reported in the Amsterdam Longitudinal Study of Aging (LASA) (11), the most important predictors of these conditions are lower education levels, spouse loss, functional disabilities, and cognitive dysfunction. The results of systematic reviews in this field showed that female gender, age over 75, not being married and unemployed, low levels of education, low economic status, and suffering from underlying diseases are associated with these outcomes (13-15).
Depression and anxiety can cause a reduction in the quality of life (16), social isolation (17), physical health problems (18), cognitive impairment (19), and an increase in medical expenditures (20). A report from the World Health Organization in 2015 showed that depression was responsible for7.5% of disabilities and contributed to 800,000 suicides annually (21). Based on a study of the global burden of diseases, injuries, and risk factors in 2019, depression and anxiety are two of the most debilitating mental disorders (22), likely making depression an important cause of disease burden among older adults in the future (14).
A lack of sufficient evidence about the problems in this specific population, and cultural context would make prevention and treatment ineffective. So it is crucial to have an accurate view of the prevalence and factors involved in geriatric psychiatric disorders to develop and implement effective community-based mental health interventions. Furthermore, if these problems are not identified and treated in a timely manner, there may be a reduction in the patient's quality of life, cognitive condition, functional limitations that increase, interference with day-to-day activities, treatment and rehabilitation of older people being disrupted, and even death (23,24). Considering the importance of suffering from mental illnesses, their effect on quality of life, and the greater vulnerability of the older population to these disorders, the present study was conducted to investigate the prevalence of depression, anxiety, and their related factors in a representative sample of the older adults residing in the City of Ardakan, Yazd Province, Iran. The results will guide tailored interventions for depression and anxiety in adults over 50, enhancing mental health outcomes and promoting healthy aging.

Methods
2.1. Study design and setting: It was a longitudinal population-based study on aging conducted in the city of Ardakan, in the central part of Iran, since 2020 till now. This city is one of the oldest and largest provinces in Iran with a kind of desert weather that has been moving towards modernization while still keeping some traditional social characteristics, particularly within families. The first wave of data was collected using the same inclusion criteria as the original cohort study, which included residing in the region and being 50 years of age or older. Being mentally or physically ill, or not being able to speak, were the exclusion criteria. A representative sample was obtained using a stratified random sampling technique. Consequently, 5176 participants were included in the study. Ethics approval was granted for this study by the University of Social welfare and Rehabilitation Sciences with the code IR.USWR.REC.1394.490.
2.2. Tools and measurement
2.2.1. Baseline characteristic: Background information, including gender, age, marital status (Single and married, and all widowed or divorced people were included in the category of single people), education level (Illiterate, elementary to high school, diploma, university), employment status (Not working/ disabled, Working, Householder), receiving or providing informal care (Yes, No), Living arrangements (Alone, with other people), self-perceived health (Very good, good, average, bad, very bad), self-perceived Economic status (High, Middle to high, Middle, Middle to low, low), neurological disorders (Including headache, Parkinson's, epilepsy, stroke), cardiovascular diseases (Including high blood pressure, heart failure and heart attack), diabetes, cancer (Including stomach, colorectal, breast, prostate cancer), respiratory disease (Including asthma, COPD, bronchitis and emphysema) and gastrointestinal diseases (Including gastric ulcer, fatty liver and gallstones) and the examination of other variables related to the main objectives of research was carried out in the following way:
2.2.2. Depression: Depression was assessed using CESD-10 questionnaire (25).
The response to each question scored between 0 to 3 (From 0 for not at all, one for sometimes, two for usually, and three for always), and the final score ranges 0 to 30, where higher values indicate more depression in the older adults. The validity and reliability of this scale were proven in a previous study (Cronbach's alpha=0.815) (26). The results considered a cut-off point of 10 as having proper sensitivity and specificity for diagnosing depression (27). Scores greater than or equal to 10 are considered depression.
2.2.3. Anxiety: The anxiety was assessed using the Hospital Anxiety and Depression Scale (HADS-A). This tool comprises fourteen questions that evaluate emotions associated with anxiety and depression (seven inquiries for each) on a four-point Likert scale, ranging from "almost always" to "never" (0 to 3) (28). The validity and reliability of this tool have been extensively verified among geriatric populations (29,30). As for the anxiety subscale, scores 0-7 are standard, 8-10 are borderline, and more than 11 indicate an anxious state. Rashedi et al (2016) found this questionnaire to be reliable in older adults, with Cronbach's alpha of 0.84 (31).
2.3. Statistical analysis: The categorical variables were reported as percentage and frequency. To study the relationships between anxiety and depression scores with the selected variables, linear and logistic regression was used, respectively, Initially, in a univariable model (a:0.2), then in a multivariable model(a:0.05). All data analyses were performed using STATA-15 software (STATA Corporation, College Station, TX, USA).

Results
The participants included all 5176 older adults from the Ardakan Cohort Study on aging; more than half (51.95%) were women. The mean age of the participants was 61.97 with a standard deviation of 7.64, and about 54% were more than 60 years. 47.85% had elementary education, and only about 6% lived alone. About half of them expressed their health and economic status as average.
 
Table 1. The prevalence of depression and anxiety in the older adults based on demographic characteristics
The overall prevalence of depression was 17.27% with women making up almost 73% of those with depression. The highest levels of depression were seen among those with elementary education (55.46%) and people unable to work due to disability (66.98%). Also, more than half of depressed people had chronic diseases. The findings showed that only about 12% of older adults had anxiety and about 78% of those were women, 51% were over 60, 57% had elementary education, and 63% were not working in terms of disability-more details about the prevalence of depression and anxiety are presented in Table 1.
As shown in Table 2, using linear regression in univariable and multivariable levels, the data at the univariable level showed that, gender, age, marriage, job status, living arrangements, perceived health, being a care recipient or provider and suffering from chronic diseases had significant relationships with anxiety (P < 0.05). The results of multivariable linear regression showed that, on average, men scored 2 points lower in the anxiety level compared to women (β=-2.0, p < 0.001). In addition, poor perceived health and being a care receiver were associated with up to 0.9 higher anxiety scores (β=0.9, p < 0.001), low perceived economic status was associated with up to 1.21 higher anxiety scores (β=1.21, p< 0.001), and being a care provider was associated with up to 0.4 higher anxiety scores, on average. (β=0.4, p < 0.001).

Two separate logistic regression models (Univariable and multivariable) were implemented for factors related to depression; the results are shown in Table 3. In the univariable model, gender, marital status, education level, living arrangements, perceived health, receiving care, and having chronic diseases had a significant relationship with depression(P < 0.05). In the next step, the results showed that the odds of depression in men were 58% lower than in women (OR=0.42, CI95% 0.35 to 0.51, P < 0.001). Older adults with good and very good perceived health had 82% and 65% lower odds of depression than those with middle levels of perceived health, respectively (OR=0.18, CI95%: 0.07 to 0.46 and OR=0.35, CI95%: 0.27 to 0.45, P < 0.001). Furthermore, care receivers had higher odds of depression, up to 66% (OR=1.66, CI95% 1.39 to1.97, P < 0.001), while those suffering from neurological diseases had up to 37% higher odds (OR=1.37, CI95%: 1.11 to 1.69, P=0.003), and those suffering from gastrointestinal diseases had up to 48% higher odds of depression (OR=1.48, CI95%: 1.23 to 1.77, P < 0.001), compared to those who did not have these conditions.
Table 2. The relationships between anxiety and demographic characteristics (Linear regression)
Table 3. The relationships between depression and demographic characteristics (Logistic regression)

Discussion
The present study was conducted to investigate the prevalence of depression, anxiety, and the related factors in the older adults living in Ardakan city, Iran. According to the findings, around 17% and 12% of adults suffer from depression and anxiety, respectively. The female gender, poorer perceived health and economic status and neurological and gastrointestinal disease were all directly associated with these mental disorders. Thus, being a care recipient, suffering from cardiovascular disease, and younger age was not related to depression but had a direct relationship with experiencing from anxiety in this population.
Systematic review studies indicate a rising trend of depression and anxiety among the senior population, with prevalence ranging from 3% to 31.74% (7,15,32). This upward trend underscores the necessity for further investigations in this area. The findings of this study indicate a depression prevalence of 17%, and anxiety prevalence of 12% among the Ardakan’s older adult. Similarly, a review study on aged populations in Asian countries showed depression prevalence ranging from 1% to 39%, and anxiety ranging from 1% to 41% (24). Also studies conducted in Iraq (33) and Pakistan (34), countries sharing similar cultural and religious contexts with Iran, have reported depression prevalence among older adults ranging from 22% to 26%, and anxiety prevalence ranging from 21% to 42%. It can, therefore, be stated that, on average, the older adults in Ardakan, Iran, suffer from less depression and anxiety, which can be explained by better communication and social support, favorable economic status, which provides greater access to health care services and a healthier lifestyle.
Many systematic review studies on depression and anxiety in the older adults reveal that women are more likely to report these disorders than men (13,14,35). In our study, senior men had a lower odds of depression, as well as lower anxiety scores than their female counterpart, which were previously reported in studies inside (5,36) and outside Iran (7,35). Women are more likely to suffer from depression and anxiety than men, probably because men have better social status and support and a broader network of social relationships (5), In addition, older women are more likely to face stress in terms of family care responsibilities, increased home duties (37,38), and experiencing menopausal complications. A longitudinal study of women's health showed that even women with lower levels of anxiety at a young age experienced more anxiety symptoms during menopause (39). Thus, older women should be screened more carefully for depression and anxiety, and the strategies to reduce the prevalence of these disorders should also be considered important in older women.
A person's perception of their health and their experiences of physical, social, and psychological events are the determinants of their well-being, which has been mentioned as one of the essential indicators of functional status, mortality, and Health service utilization(40) As Roy's theory suggests, people who are not properly adapted to their personal and social changes (Such as diseases and old age problems) have a poor perception of their health condition, which results in a decrease in well-being, depression, and other psychological consequences(41). According to the current research, older persons who thought their health was poor or very poor had greater anxiety levels and a higher likelihood of developing depression than older adults who thought their health was average. In a group of community-dwelling older adults aged 72 to 105, Ranzijn indicates that accepting unhealthiness and perceived health is a good predictor of well-being. (42,43). Thus, seniors with diabetes who perceive their health status better, have better adaptive skills, Quality of life, and psychological status (43). The results of Narsavage's study indicated that the older adults with chronic respiratory diseases who consider their health status poor show higher levels of depressed mood and suffer from depression, anxiety, impairment in daily activities, and deficiencies in communication skills with family (41).
A sense of independence and satisfaction with the economic situation is essential for life satisfaction, and successful aging (44,45). Thus, poor perception of the economic situation is associated with lower well-being and more psychological distress (46). Considering the difference between the objective measures of economic well-being and people's perception of their financial situation, paying attention to the difference between income and people's perception of their economic situation is necessary (47) because a person with a high income may consider himself to be at an average or poor level economically. The present study indicated that those with a low perceived economic status were twice as likely to suffer from depression and had more scores of anxiety. This finding aligns with the worldwide research results (37,48-50). All age groups, especially the older ones are suffering from anxiety caused by economic problems (51). Furthermore, perceived low economic status may decrease the older adult’s access to proper nutrition and medical services, which is a reason why most of these individuals suffer from psychological problems.
Chronic diseases are more common in older adults, and about one-third of those with chronic diseases suffer from anxiety and/or depression (52). This study, consistent with many previous studies, found that adults with neurological disease have higher rates of anxiety and depression than their peers without these diseases (19,53,54). Patients with neurological disease may experience depression and anxiety for a variety of causes, such as vascular depression and anatomical abnormalities in the brain. Vascular depression, which is usually seen in older persons with cerebral ischemia lesions, is caused by alterations in the cerebral circulation (55). Furthermore, the older adults with neurological diseases may experience physical disability, such as difficulty walking and speaking which, in turn, can affect their mental health and make them more likely to experience depression and/or anxiety by increasing their social isolation (56).
Gastrointestinal diseases are common in the aged population. Even though they are often not life-threatening, they significantly impact sufferers' quality of life and mental health (57). According to the results of the present study, many studies showed that the co-occurrence of mood disorders, including depression and anxiety, is higher in patients with Gastro-intestinal disorders (58,59). Patients with gastrointestinal disorders may suffer from pain (58), and side effects of the drugs that have given them for controlling their symptoms, and/or depression (60). Furthermore, liver diseases may lead to the accumulation of neuropathogenic molecules and contaminants in the bloodstream as a consequence of insufficient cleansing by a damaged liver. It has been established that these immunological mechanisms are responsible for depression and anxiety (61). Approximately a third of those suffering from gastrointestinal disorders seek medical services. The reason for these visits is not only to relieve symptoms related to those disorders, itself, but to relieve anxiety and stress caused by them, as well (62). In general, increase in functional disorders and doctor visits may lead to a decline in health-related quality of life (20) and an increase in anxiety and depression (63).
Strengths and Limitations:
This study used data from the first phase of the Ardakan Cohort Study on Aging. Because of the relatively large sample size, the findings can be considered as generalizable to the Province [Blinded]. The study examined a variety of factors that may contribute to the development of depression and anxiety, including demographic, socioeconomic, and health-related variables. However, it is important to note that our study has some limitations. Due to the cross-sectional nature of study, causality or temporal relationships between variables cannot be determined. There was no consideration of other potential risk factors, such as genetics or environmental factors, which may affect depression and anxiety states, so future research is needed to investigate the casual factors through longitudinal studies and dig up the role of other factors in the prevalence of these mental health conditions.

Conclusion
This study was found that the prevalence of depression and anxiety among the participants were relatively significant. It was found that older women, individuals with the gastrointestinal and neurological diseases, and those who perceived themselves as low economically well and healthy were more likely to be depressed and have anxiety. These results highlight how important it is to understand the physical and social factors of mental health and take appropriate action to reduce the incidence of anxiety and depression. Additionally, they provide healthcare officials a thorough viewpoint to enhance the advantages as well as disadvantages of the contemporary aged health evaluation programs.

Acknowledgement
We would like to thank all Ardakan cohort study on aging staff, managers, and seniors who participated in this study and helped us in collecting and providing the data.

Funding sources
This work was supported by Ardakan Cohort Study on Ageing (ACSA) fund. (Record number IR.USWR.REC.1394.490)

Ethical statement
This work was supported by Ardakan Cohort Study on Ageing (ACSA) fund. (Record number IR.USWR.REC.1394.490), Documented informed consent was received from all participants.

Conflicts of interest
The authors declare that they have no conflicts of interest related to this article.

Author contributions
A.D: Conception, Supervision, Fundings, Materials, article Critical Review 
M.J.G: Materials, Data Collection and Processing, Literature Review, Writing article
M.S: Design, Supervision, Analysis and Interpretation, Critical Review
M.B: Design, Supervision, Analysis and Interpretation, Critical Review
F.S.T: Data Collection and Processing
M.F: Design, Supervision, Critical Review
E.H: Conception, Supervision, Fundings, Writing, Critical Review
Type of study: Original Article | Subject: Psychology and Psychiatry

References
1. Ogura S, Jakovljevic MM. Global population aging-health care, social and economic consequences. Front Public Health. 2018;6:335. [View at Publisher] [DOI] [PMID] [Google Scholar]
2. Mahmoudinia N. Predict the increase of Iran's elderly population to 19 million by 2041. ISNA (Iranian Students News Agency);2022. [View at Publisher]
3. Durak M, Karakose S, Yow WQ. Editorial: Late-life psychopathology. Front Psychol. 2023;14:1204202. [View at Publisher] [DOI] [PMID] [Google Scholar]
4. Petrova N, Khvostikova D. Prevalence, structure, and risk factors for mental disorders in older people. Adv Gerontol. 2021;11(4):409-15. [View at Publisher] [DOI] [Google Scholar]
5. Babazadeh T, Sarkhoshi R, Bahadori F, Moradi F, Shariat F, Sherizadeh Y. Prevalence of depression, anxiety and stress disorders in elderly people residing in Khoy, Iran (2014-2015). J Anal Res Clin Med. 2016;4(2):122-8. [View at Publisher] [DOI] [Google Scholar]
6. Isfahani P, Afshin M, Mohammadi F, Arefnezhad M. Prevalence of depression among Iranian elderly: A Systematic review and Meta-analysis. Journal of Gerontology. 2021;5(4):66-77. [View at Publisher] [Google Scholar]
7. Zenebe Y, Akele B, Necho M. Prevalence and determinants of depression among old age: a systematic review and meta-analysis. Ann Gen Psychiatry. 2021;20(1):55. [View at Publisher] [DOI] [PMID] [Google Scholar]
8. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. Washington DC:American psychiatric association;1980. [View at Publisher] [Google Scholar]
9. Li N, Chen G, Zeng P, Pang J, Gong H, Han Y, et al. Prevalence of depression and its associated factors among Chinese elderly people: A comparison study between community-based population and hospitalized population. Psychiatry Res. 2016;243:87-91. [View at Publisher] [DOI] [PMID] [Google Scholar]
10. Ashe S, Routray D. Prevalence, associated risk factors of depression and mental health needs among geriatric population of an urban slum, Cuttack, Odisha. Int J Geriatr Psychiatry. 2019;34(12):1799-807. [View at Publisher] [DOI] [PMID] [Google Scholar]
11. Vink D, Aartsen MJ, Comijs HC, Heymans MW, Penninx BWJH, Stek ML, et al. Onset of Anxiety and Depression in the Aging Population: Comparison of Risk Factors in a 9-Year Prospective Study. Am J Geriatr Psychiatry. 2009;17(8):642-52. [View at Publisher] [DOI] [PMID] [Google Scholar]
12. Khan P, Qayyum N, Malik F, Khan T, Khan M, Tahir A. Incidence of Anxiety and Depression Among Patients with Type 2 Diabetes and the Predicting Factors. Cureus. 2019;11(3):e4254. [View at Publisher] [DOI] [PMID] [Google Scholar]
13. Azizabadi Z, Aminisani N, Emamian MH. Socioeconomic inequality in depression and anxiety and its determinants in Iranian older adults. BMC psychiatry. 2022;22(1):761. [View at Publisher] [DOI] [PMID] [Google Scholar]
14. Pilania M, Yadav V, Bairwa M, Behera P, Gupta SD, Khurana H, et al. Prevalence of depression among the elderly (60 years and above) population in India, 1997-2016: a systematic review and meta-analysis. BMC Public Health. 2019;19(1):832. [View at Publisher] [DOI] [PMID] [Google Scholar]
15. Wang J, Wu X, Lai W, Long E, Zhang X, Li W, et al. Prevalence of depression and depressive symptoms among outpatients: a systematic review and meta-analysis. BMJ Open. 2017;7(8):e017173. [View at Publisher] [DOI] [PMID] [Google Scholar]
16. Saeidimehr S, Geravandi S, Izadmehr A, Mohammadi MJ. Relationship between the "Quality of Life" and symptoms of depression among older adults. Salmand (Iranian Journal of Ageing). 2016;11(1):90-9. [View at Publisher] [DOI] [Google Scholar]
17. Luo F, Guo L, Thapa A, Yu B. Social isolation and depression onset among middle-aged and older adults in China: Moderating effects of education and gender differences. J Affect Disord. 2021;283:71-6. [View at Publisher] [DOI] [PMID] [Google Scholar]
18. Sousa RDd, Rodrigues AM, Gregório MJ, Branco JDC, Gouveia MJ, Canhão H, et al. Anxiety and Depression in the Portuguese Older Adults: Prevalence and Associated Factors. Front Med (Lausanne). 2017;4:196. [View at Publisher] [DOI] [PMID] [Google Scholar]
19. Donovan NJ, Locascio JJ, Marshall GA, Gatchel J, Hanseeuw BJ, Rentz DM, et al. Longitudinal association of amyloid beta and anxious-depressive symptoms in cognitively normal older adults. Am J Psychiatry. 2018;175(6):530-7. [View at Publisher] [DOI] [PMID] [Google Scholar]
20. Porensky EK, Dew MA, Karp JF, Skidmore E, Rollman BL, Shear MK, et al. The burden of late-life generalized anxiety disorder: effects on disability, health-related quality of life, and healthcare utilization. Am J Geriatr Psychiatry. 2009;17(6):473-82. [View at Publisher] [DOI] [PMID] [Google Scholar]
21. World Health Organization. Depression and other common mental disorders: global health estimates. Geneva:World Health Organization;2017. [View at Publisher] [Google Scholar]
22. GBD 2019 Mental Disorders Collaborators. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022;9(2):137-50. [View at Publisher] [DOI] [PMID] [Google Scholar]
23. Cuoco S, Scannapieco S, Carotenuto I, Picillo M, Pellecchia MT, Barone P, et al. Higher Health Service Costs Associated With Delayed Diagnosis of Functional Neurological Disorder. J Neuropsychiatry Clin Neurosci. 2023;35(1):86-91. [View at Publisher] [DOI] [PMID] [Google Scholar]
24. Turana Y, Tengkawan J, Chia YC, Shin J, Chen C-H, Park S, et al. Mental health problems and hypertension in the elderly: Review from the HOPE Asia Network. J Clin Hypertens (Greenwich). 2021;23(3):504-12. [View at Publisher] [DOI] [PMID] [Google Scholar]
25. Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: Evaluation of a short form of the CES-D. Am J Prev Med. 1994;10(2):77-84. [View at Publisher] [DOI] [PMID] [Google Scholar]
26. Boey KW. Cross‐validation of a short form of the CES‐D in Chinese elderly. Int J Geriatr Psychiatry. 1999;14(8):608-17. [View at Publisher] [DOI] [PMID] [Google Scholar]
27. Qian J, Li N, Ren X. Obesity and depressive symptoms among Chinese people aged 45 and over. Sci Rep. 2017;7(1):45637. [View at Publisher] [DOI] [PMID] [Google Scholar]
28. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361-70. [View at Publisher] [DOI] [PMID] [Google Scholar]
29. Djukanovic I, Carlsson J, Årestedt K. Is the Hospital Anxiety and Depression Scale (HADS) a valid measure in a general population 65-80 years old? A psychometric evaluation study. Health Qual Life Outcomes. 2017;15(1):1-10. [View at Publisher] [DOI] [PMID] [Google Scholar]
30. Montazeri A, Vahdaninia M, Ebrahimi M, Jarvandi S. The Hospital Anxiety and Depression Scale (HADS): translation and validation study of the Iranian version. Health Qual Life Outcomes. 2003;1(1):1-5. [View at Publisher] [DOI] [PMID] [Google Scholar]
31. Rashedi V, Foroughan M, Delbari A, Nazari H. Psychometric properties of Hospital Anxiety and Depression Scale (HADS) in Iranian older adults. 12th International Congress of the European. Portugal::union: Geriatric Medicine Society;2016. [View at Publisher]
32. Creighton AS, Davison TE, Kissane DW. The correlates of anxiety among older adults in nursing homes and other residential aged care facilities: a systematic review. Int J Geriatr Psychiatry. 2017;32(2):141-54. [View at Publisher] [DOI] [PMID] [Google Scholar]
33. Ibrahim AA, AI-Lami F, Al-Rudainy R, Khader YS. Mental Disorders Among Elderly People in Baghdad, Iraq, 2017. Inquiry. 2019;56:46958019845960. [View at Publisher] [DOI] [PMID] [Google Scholar]
34. Khan A, Toor R, Amjad Q. Assessment and Management of Geriatric Care in Pakistan. J Gerontol Geriatr Res. 2018;7(5): [View at Publisher] [DOI] [Google Scholar]
35. Ciuffreda G, Cabanillas-Barea S, Carrasco-Uribarren A, Albarova-Corral MI, Argüello-Espinosa MI, Marcén-Román Y. Factors Associated with Depression and Anxiety in Adults ≥60 Years Old during the COVID-19 Pandemic: A Systematic Review. Int J Environ Res Public Health. 2021;18(22):11859. [View at Publisher] [DOI] [PMID] [Google Scholar]
36. Ghaderi S, Sahaf R, Mohammadi Shahbalaghi F, Ansari G, Gharanjic A, Ashrafi K, et al. Prevalence of depression in elderly Kurdish community residing in Boukan, Iran. Iranian Journal of Ageing. 2012;7(1):57-66. [View at Publisher] [Google Scholar]
37. Gulati N, Nanda C, Hora RK. COVID-19 and its impact on mental health as a function of gender, age, and income. Discov Ment Health . 2023;3(1):4. [View at Publisher] [DOI] [PMID] [Google Scholar]
38. Hantsoo L, Epperson CN. Anxiety disorders among women: a female lifespan approach. Focus (Am Psychiatr Publ). 2017;15(2):162-72. [View at Publisher] [DOI] [PMID] [Google Scholar]
39. Bromberger JT, Kravitz HM, Chang Y, Randolph Jr JF, Avis NE, Gold EB, et al. Does risk for anxiety increase during the menopausal transition? Study of Women's Health Across the Nation (SWAN). Menopause. 2013;20(5):488-95. [View at Publisher] [DOI] [PMID] [Google Scholar]
40. Loayza LS. Subjective well-being, health status, functional capacity and social participation in Chilean older people. Rev Med Chil. 2022;150(8):1010-7. [View at Publisher] [DOI] [PMID] [Google Scholar]
41. Narsavage GL, Chen KY. Factors related to depressed mood in adults with chronic obstructive pulmonary disease after hospitalization. Home Healthc Nurse. 2008;26(8):474-82. [View at Publisher] [DOI] [PMID] [Google Scholar]
42. Ranzijn R, Luszcz M. Acceptance: A key to wellbeing in older adults? Australian Psychologist. 1999;34(2):94-8. [View at Publisher] [DOI] [Google Scholar]
43. American Diabetes Association Professional Practice Committee. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2022. Diabetes Care. 2022;45(Supplement_1):S60-82. [View at Publisher] [DOI] [PMID] [Google Scholar]
44. Chou KL, Chi I. Successful aging among the young-old, old-old, and oldest-old Chinese. Int J Aging Hum Dev. 2002;54(1):1-14. [View at Publisher] [DOI] [PMID] [Google Scholar]
45. Depp CA, Jeste DV. Definitions and predictors of successful aging: a comprehensive review of larger quantitative studies. Am J Geriatr Psychiatry. 2006;14(1):6-20. [View at Publisher] [DOI] [PMID] [Google Scholar]
46. Muhammad T, Srivastava S, Sekher TV. Association of self-perceived income status with psychological distress and subjective well-being: a cross-sectional study among older adults in India. BMC Psychol. 2021;9(1):82. [View at Publisher] [DOI] [PMID] [Google Scholar]
47. Bakhtiyari M, Emaminaeini M, Hatami H, Khodakarim S, Sahaf R. Depression and perceived social support in the elderly. Iranian Journal of Ageing. 2017;12(2):192-207. [View at Publisher] [DOI] [Google Scholar]
48. Balsamo M, Cataldi F, Carlucci L, Fairfield B. Assessment of anxiety in older adults: a review of self-report measures. Clin Interv Aging. 2018;13:573-93. [View at Publisher] [DOI] [PMID] [Google Scholar]
49. Domènech-Abella J, Mundó J, Leonardi M, Chatterji S, Tobiasz-Adamczyk B, Koskinen S, et al. The association between socioeconomic status and depression among older adults in Finland, Poland and Spain: A comparative cross-sectional study of distinct measures and pathways. J Affect Disord. 2018;241:311-8. [View at Publisher] [DOI] [PMID] [Google Scholar]
50. Kovacevic J, Miskulin M, Degmecic D, Vcev A, Leovic D, Sisljagic V, et al. Predictors of Mental Health Outcomes in Road Traffic Accident Survivors. J Clin Med. 2020;9(2):309. [View at Publisher] [DOI] [PMID] [Google Scholar]
51. Yu J, Choe K, Kang Y. Anxiety of Older Persons Living Alone in the Community. Healthcare (Basel). 2020;8(3):287. [View at Publisher] [DOI] [PMID] [Google Scholar]
52. Stordal E, Bjelland I, Dahl AA, Mykletun A. Anxiety and depression in individuals with somatic health problems. The Nord-Trøndelag Health Study (HUNT). Scand J Prim Health Care. 2003;21(3):136-41. [View at Publisher] [DOI] [PMID] [Google Scholar]
53. Cui SS, Du JJ, Fu R, Lin YQ, Huang P, He YC, et al. Prevalence and risk factors for depression and anxiety in Chinese patients with Parkinson disease. BMC Geriatr. 2017;17(1):270. [View at Publisher] [DOI] [PMID] [Google Scholar]
54. Ismail Z, Gatchel J, Bateman DR, Barcelos-Ferreira R, Cantillon M, Jaeger J, et al. Affective and emotional dysregulation as pre-dementia risk markers: exploring the mild behavioral impairment symptoms of depression, anxiety, irritability, and euphoria. Int Psychogeriatr. 2018;30(2):185-96. [View at Publisher] [DOI] [PMID] [Google Scholar]
55. Alexopoulos GS, Bruce ML, Silbersweig D, Kalayam B, Stern E. Vascular depression: a new view of late-onset depression. Dialogues Clin Neurosci. 1999;1(2):68-80. [View at Publisher] [DOI] [PMID] [Google Scholar]
56. Forejtová Z, Serranová T, Sieger T, Slovák M, Nováková L, Věchetová G, et al. The complex syndrome of functional neurological disorder. Psychol Med. 2023;53(7):3157-67. [View at Publisher] [DOI] [PMID] [Google Scholar]
57. Dumic I, Nordin T, Jecmenica M, Stojkovic Lalosevic M, Milosavljevic T, Milovanovic T. Gastrointestinal tract disorders in older age. Can J Gastroenterol Hepatol. 2019;2019:6757524. [View at Publisher] [DOI] [PMID] [Google Scholar]
58. Cantarero-Prieto D, Moreno-Mencia P. The effects of gastrointestinal disturbances on the onset of depression and anxiety. PLOS ONE. 2022;17(1):e0262712. [View at Publisher] [DOI] [PMID] [Google Scholar]
59. Ganda Mall J-P, Östlund-Lagerström L, Lindqvist CM, Algilani S, Rasoal D, Repsilber D, et al. Are self-reported gastrointestinal symptoms among older adults associated with increased intestinal permeability and psychological distress? BMC Geriatr. 2018;18(1):75. [View at Publisher] [DOI] [PMID] [Google Scholar]
60. Laudisio A, Antonelli Incalzi R, Gemma A, Giovannini S, Lo Monaco MR, Vetrano DL, et al. Use of proton-pump inhibitors is associated with depression: a population-based study. International Psychogeriatrics. 2018;30(1):153-9. [View at Publisher] [DOI] [PMID] [Google Scholar]
61. Varghese ML, Sharma MT, Srinivasan M. Assessment and Comparison of Cognitive Function and Depression level among patients with Chronic Liver Disease and Healthy Controls. Journal of Nursing and Health Science. 2020;9(4):01-9. [View at Publisher] [DOI] [Google Scholar]
62. Smith RC, Greenbaum DS, Vancouver JB, Henry RC, Reinhart MA, Greenbaum RB, et al. Psychosocial factors are associated with health care seeking rather than diagnosis in irritable bowel syndrome. Gastroenterology. 1990;98(2):293-301. [View at Publisher] [DOI] [PMID] [Google Scholar]
63. McKnight PE, Monfort SS, Kashdan TB, Blalock DV, Calton JM. Anxiety symptoms and functional impairment: A systematic review of the correlation between the two measures. Clin Psychol Rev. 2016;45:115-30. [View at Publisher] [DOI] [PMID] [Google Scholar]

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