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Journal of caring sciences, 9(3), 148-153; DOI:10.34172/jcs.2020.022

Original Article

Relationship between Depression and Cognitive Impairment among Elderly: A Cross-sectional Study

Zahra Aajami1, Leila kazazi2, Mahdi Troski1, Malihe Bahrami3, Vahidreza Borhaninejad4,*

1 Department of Pharmacoeconomics and Pharmaceutical Administration, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
2 Iranian Research Center on Ageing, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
3 Department of Nursing, Islamic Azad University Shahr-e Babak Branch, Kerman, Iran
4 Social Determinants of Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

Email: v.borhani@yahoo.com

© 2020 The Author(s).

Abstract

Introduction: Depression and cognitive impairment are common mental health problems among elderly, although few studies have examined their co-occurrence in aging population. So the aim of this study was to determine the relationship between depression and cognitive impairment in older adults.
Methods: This cross-sectional population-based study was conducted on 506 older adults were presented to the health centers of the municipality of Tehran, Iran. Data were collected using the sociodemographic questionnaire, Mini Mental State Examination (MMSE) and Geriatric Depression Scale (GDS). Data were analyzed by using SPSS-17 with correlation analysis and logistic regression.
Results: The mean age of the participants was 65.71 years. Older people (> 75 years) had more twice risk (95% CI 1.01- 4.90) for cognitive dysfunction. There was a significant correlation between MMSE and GDS. Elderly with collegiate education had 85% (95% CI 0.1- 0.5) and employed elderly had 56% (95% CI 0.04- 0.74) lower risk for cognitive dysfunction. Elderly with severe depression had twice risk (95% CI 1.41- 4.8) for cognitive dysfunction.
Conclusion: Findings suggest there is a relationship between depression and cognitive impairment among the elderly. These findings emphasis on assessing cognitive impairment and depression in geriatric assessment in elderly.

Keywords: Depression, Cognitive impairment, Aged, Elderly

Introduction

Because of psychological problems such as depression and cognitive impairment, the aging of population will be one of the most important health problems in the future.1 The greatest challenge is the prevention of disability and improving the quality of life for older adults.2 Population aging is considered to describe the burden of elderly population to the health systems, so general health programs must be responsive to this inevitable phenomenon.3

The prevalence of clinical symptoms of depression among the elderly has been estimated to be between 8% to 15%. This rate reaches 30% in the elderly living in nursing homes.1 In Iranian elderly residents at home with the beck is 95.64% and with the GDS 81.85%. The prevalence of depression in the elderly living at home with the Geriatric Depression Scale (GDS) was 57.58%.4 In other study in Iran prevalence of depression among elderly was estimated to be 43% (95% confidence interval [CI]: 30%-55%), and the prevalence of very severe, severe, moderate, and mild depression levels were estimated to be 5%, 19%, 33%, and 38%.5

Depression is one of the main reasons for disability among the elderly that has been associated with risk of mortality and morbidity.6,7 Although aging alone is not a factor for developing depression, the loss of relatives, especially the spouse, being away from children, especially in today societies in which widespread families have been replaced with nuclear families, having chronic physical illnesses, using different drugs and loss of cognitive power have made the elderly prone to depression.8

Other problems of aging are cognitive impairment. Cognition is defined as perceiving, processing and administrating information, and it is one of main component of self-determination and autonomy in elderly.9 The normal function of brain systems is responsible for the individual’s proper cognitive function. Thus cognitive disorders occur in proportion to age increase and deterioration of the elements involved in these systems which the severity of these disorders is diverse and makes a wide range in elderly people.10 Cognitive disorders are closely associated with decline in cognitive abilities including attention, memory, language, orientation, performance, judgment and problem-solving skill.11 In the elderly, both types of total cognitive processes and specific processes naturally collapsed. Studies have shown that about 5% of the elderly have a severe cognitive disorder, 47.5% have the moderate disorder, 30% have the small cognitive disorder and only 5.17% have no disorder.12 The prevalence of cognitive disorder in Swedish, German and American elderly people is 4.5 %, 7.7%, and 4.9, respectively.13,14 Depression and cognitive impairment can lead to a disability of the elderly. Some studies have shown a significant relationship between disability and the individual’s mental health status, cognitive impairment and depression.15,16

Over the last decades, life expectancy has grown in Iran, and currently, over 7.4 million people age 60 years and older, about 9.27% of the population, live in Iran and there was high prevalence of depression and cognitive impairment in elderly in Iranian studies.4,5,17 So the aim of this study was investigate relationship between depression and cognitive disorders among the elderly in Tehran-Iran. Based on the above mentioned literature review, to the best of author’s knowledge, little has been done to explore the interaction of cognitive impairment and depression status among older adults of health centers. Therefore, the current study contributes to our knowledge by addressing two important issues; first, finding the prevalence of cognitive impairment and depression; secondly, investigating the relationship between cognitive impairment and depression among older adults.

Materials and Methods

This cross-sectional population-based was implemented on older people who were presented to the health centers of the municipality of Tehran.

The minimum sample required was calculated 510 considering an age related cognitive decline prevalence of 21%,17 a margin of error of 5%, a 95% level of confidence, 20% drop out in sample size and entering potential confounders as covariate into the model of regression. A total of 506 community dwelling older adults aged 60 years and above, who were presented regularly in the health centers of Tehran Municipality for baseline medical assessments and social and recreational services, were selected for the study. Subjects were selected by using stratified random sampling. Health centers of municipality include elderly institutes which were formed to increase participation and effectiveness of older adults especially in the field of social and cultural affairs. We got the permission letter for health centers of ten areas from different parts in Tehran. In order to provide a represented sample, the sampling with probability proportional to size was used.

The inclusion criteria were: age equal or above 60 years, citizen of Iran, and ready to provide informed consent to use data and participate. The exclusion criteria based on medical and medications history were having diseases which may lead to extreme functional decline or mortality such as history of stroke in the previous 12 months or end stage cancer, affecting by uncorrected visual and/ or auditory impairment, having major psychiatric disorder, including schizophrenia and bipolar disorder, affecting by major neurodegenerative illnesses, including Parkinson disease, use of medications known to impair cognition and illiteracy person. The questionnaires were self-administered for participants.

Informed consent of the participants was obtained before they enter the study. The information was obtained by questionnaires. The Mini-Mental State Examination (MMSE) was administered to determine cognitive impairment. The MMSE was developed by Folstein et al., and since then, different cut-off points have been reported.18 The psychometric properties of MMSE in Iranian older population were investigated and a cut-off point of 21 was obtained for cognitive dysfunction. We assumed at least four years of education as inclusion criteria to be sure of the level of literacy required for responding to the MMSE items. The psychometric properties of MMSE in the Iranian older population was investigated, and results showed good reliability (ά=0.78) of this instrument. At a cut-off point of 21, the sensitivity of 90% and specificity of 80% was calculated.19,20

GDS was used to assess depressive symptoms. The validation of the Iranian version of GDS revealed its good reliability with Cronbach’s coefficients reaching to 92%.18

An internal reliability of questionnaires was also performed in the pilot phase with 30 subjects; and Cronbach’s alpha for various questionnaires used was estimated to be: MMSE (0.77), GDS (0.87). So provided high Cronbach’s alpha values, for these questionnaires.

Descriptive statistics were employed to describe the subjects’ characteristics. The correlation between MMSE and GDS scores and its dimension was done using the Pearson correlation coefficient. The relation between MMSE and GDS scores was investigated by Multivariate Regression Analysis. All analyses were done using Statistical Package for the Social Sciences (SPSS), version 21 (Armonk, NY: IBM Corp). Normality of distribution was tested by using Kolmogorov-Smirnov test.

Results

The mean (SD) age of the participants was 65.71(5.97) years. Table 1 shows the demographic characteristics of the participants. Clinical and health-related conditions of the participants have been shown in Table 2; as is presented the mean (SD) score of GDS was 3.69 )3.63( and the mean score of MMSE was 26.55 (2.34).

Table 1.Socio-demographic characteristics of the participants
Socio-demographic data No. (%)
Age (years) 60-74 454(89.7)
75< 52(10.3)
Gender Male 276(54.5)
Female 230(45.5)
Marital status Single 14 (2.8)
Married 391 (77.3)
Widowed 86 (17.0)
Divorced 15 (3.0)
Education Primary 111 (21.9)
Under diploma 87 (17.2)
Diploma 156 (30.8)
Collegiate 152 (39.0)
Job Unemployed 414 (81.8)
Employed 92 (18.2)
Table 2. The MMSE and GDS score of the participants
Clinical finding Scale No. (%) Mean (SD) Pearson correlation Statistical indicator
GDS Normal 335 (66.2) 3.69 (3.63) R=0.183
P <0.001*
Mild 97 (19.2)
Major 74 (14.6)
MMSE Normal 458 (90.5) 26.55 (2.34)
Cognitive impairment 48 (9.5)

Abbreviations: GDS, Geriatric Depression Scale; MMSE,Mini Mental State Examination, SD, standard deviation.

*Statistically significant.

Among 171 (32.8%) of subjects were classified as mild and severe depression and 48 elderlies (9.5%) had cognitive dysfunction. A positive and significant correlation was found between MMSE and GDS score using the Pearson correlation coefficient (P  < 0.001) (Table 2).

Table 3 shows factors influencing participants’ cognitive impairment by logistic regression. Our finding showed a significant relationship between age, education, job with cognition. The odds of cognitive impairment were two times higher in people over 75> years old (OR=2.22, 95% CI: 1.01- 4.90; P  = 0.047). Elderly with collegiate education had 85% (OR=0.15, 95% CI: 0.1- 0.5; P  = 0.001) and employed elderly had 56% (OR=0.44, 95% CI: 0.04- 0.74; P  = 0.018) lower odds for cognitive dysfunction. The odds of cognitive impairment were 2 times higher in elderly suffering major depression (OR=2.07, 95% CI: 1.41- 4.8; P  = 0.038).

Table 3. Factors influencing participants’ cognitive impairment by multivariate logistic regression
Characteristic Cognitive impairment
OR (95% CI) P
Age 60-74 - - -
75≤years 2.22 1.01 - 4.90 0.047*
Gender Male - - -
Female 1.11 0.61 - 2.02 0.719
Marital status Single - - -
Married 0.98 0.48 - 2.0 0.974
Education Under diploma - - -
Diploma 0.19 0.06 - 0.36 0.001*
Colleague 0.15 0.10 - 0.50 0.001*
Job Unemployed - - -
Employed 0.44 0.04 - 0.74 0.018*
Depression Normal - - -
Mild 1.52 0.7 - 3.2 0.27
Major 2.07 1.41 - 4.8 0.038*

Abbreviation:OR,Odd Ratio.

*Statistically significant

Discussion

We conducted a population-based survey among elderly (≥60 years) diabetes patients from the Tehran city. The aim of this study was to determine relationship between depression and cognitive impairment in older adults.

The results of this study showed that about one-tenth of the elderly had cognitive impairment. In similar studies in Iran, the prevalence of cognitive disorder was reported in 18% of the elderly,21,22 which is somewhat inconsistent with the findings of this study. Similar studies have been conducted in Taiwan,23 India,24 Portugal,25 Spain,26 Malaysia27 and South Korea28 in which a prevalence of cognitive impairment was obtained as 22.2%, 18%, 9.6%, 19%, 11% and 22.5%, respectively. These differences can be attributed to the differences between the samples and research community. In the present study, most of the elderly had an acceptable education. This study was also conducted among elderly persons of the community who have a more favorable cognitive level. For example, in a study conducted among the elderly persons in a nursing home in Iran, the prevalence of cognitive disorders was reported as 75%.29 The presence of factors, such as illness, physical disabilities, unemployment, and lack of attention, loneliness and a feeling of disability in controlling the environment resulted in cognitive impairment in the elderly persons in the nursing home.

Based on the findings of this study, about one-third of the elderly had a degree of depression (mild to severe). Similar to the present study, the prevalence of depression in the elderly has been reported to be 35%.30 In two studies in Iran, findings showed a prevalence of depression in half of the elderly.31,32 This difference level may be due to differences in the measurement tool, sample size or area and extent of residence. Also, having several diseases simultaneously can lead to an increase in prevalence of depression in the elderly and statistical differences in the amount of depression prevalence.

Furthermore, the results of this study showed that elderly of greater than 75 years old years had higher risk at cognition impairment. These findings of the current study are in line with the other previous studies. But, unlike the findings of this study, there was no significant relationship between age and cognition impairment.27,28 The reason for this is not clear but it may be due to the increase in literacy rates. There was no statistically significant difference between gender and cognitive impairment in this study. But contrary to the findings of our study, in some other studies the prevalence of cognitive impairment had significantly different in men and women.21-23 The reason for this difference can be due to the different role of elderly men and women in different societies. In some communities, the presence of more men in the workplace and society may lead to quick detection of any changes that could initiate cognitive disorder in them. In terms of marital status, there was no difference in the prevalence of cognitive impairment between the two married and single groups. A similar study in Portugal showed that although being single or widower is effective in the prevalence of cognitive disorders, this effect is not significant.25 But in other studies, the most rates of cognitive impairment symptoms belonged to single, widow and divorced men and women. This finding supports the role of marriage in reducing the incidence of cognitive disorders in elderly people. The present study showed that the prevalence of cognitive impairment symptoms had an inverse relationship with education, which is in line with other research findings.24,27,28 As we found in another phase of this study, depression and educational level were assumed as potential confounder in relation between age associated cognitive decline and health related quality of life. The results of study have been described elsewhere.32 It seems that people with high education level use their brain abilities effectively. Mental activities (such as education and other complicated brain activities) play an important role in preserving and improving memory and brain resources and is a good way to reduce dementia in the elderly people. Another important finding was the protective role of having a job for the elderly in order to decrease the incidence of cognitive impairment. It seems that being active and having active involvement with society play an important role in the physical and mental health of the elderly, and from this view, successful aging is equal to active aging. Activity can be physical or mental (intellectual), but basically is referred to active roles in the society. In this order, the elderly person must strengthen the interests, habits, roles and new relationships to replace those that are lost or faded away. Thus, the loss of job in retirement stage can be replaced with recreational or voluntary activities, to avoid the harmful effects of the retirement on the elderly.

Finding of this study showed the relationship between depression and cognitive impairment in the elderly. The elderly with severe depression had twice risk of cognitive impairment. This finding has been affirmed in several studies.34 Tha Cach county longitudinal study reported prevalence of depression in 16.9% of older adults with cognitive impairment, 29.9% in participants with dementia and 4.9% in elderly with normal cognitive function.35 One of the causes which is associated with correlation of cognitive impairment and depression is the theory of cognitive changes depends on the age of the frontal.36 Another possibility is that, even low level of depressive symptoms may influence hippocampus and other neural system which regulate the stress axis and making them vulnerable to neurodegenerative changes.37 Generally, depression could accompanied by cognitive impairment, because they may manifesting of the same brain disease, or some individual with cognitive deficits may experience depressive symptoms when become aware of their poor function.38 However, what is crucial is that the elderly population will increase noticeably in the near future, a great part of the population will be living in developing countries39. Diagnosing depression and cognitive impairment such as Alzheimer disease are complicated and clinically can be indistinguishable.40 Therefore, on time screening for these disorders may be helpful for early detection and early treatment. Based on our findings, there is an emphasis of assessing cognitive impairment in the elderly as part of a scientific approach to managing depression and vice versa.

One of the important limitations of this study is conducting it in one city. Therefore, performing similar studies in different parts of Iran and cohort studies are advised to diagnose the risk factors of cognitive impairment in the elderly. Another limitation of this study was inability to express the causal relationship between cognitive impairment with depression and using a screening test to diagnose cognitive impairment and depression. It is advised that, in future studies, definitive diagnosis or detection of cognitive impairment and depression be carried out by a neurologist and analysis the causal relationship between cognitive impairment and depression by analytic studies such as case-control.

Conclusion

This study has argued that depression in elderly may lead to cognitive impairment and as such, the best method of diagnosing cognitive impairment is depression screening. Cognitive impairment is lower in younger elderly people (60-74) with more education level and the elderly who are still working. Based on the findings of the present study, it is recommended that treatment of cognitive impairment, screening and treatment of depression in the elderly and also, educating the group and making opportunities for active participation in the community should be given special attention. On the other hand, increasing the population of the elderly and consequently, increasing the prevalence of physical and mental disorders, offer new challenges to health policymakers and double the need to provide evidence in confrontation with this phenomenon in the area of service providing and financing. Since, healthcare for the elderly has its own specific features and conditions. Evaluating the current status of the elderly in view of issues, such as depression and cognitive impairment, can play a significant role in elderly health policymaking.

Acknowledgments

The authors are grateful for support and corporation of staff and older adults in health centers of municipality in Tehran.

Ethical Issues

This study was approved by the ethics committee of the University of Social Welfare and Rehabilitation Sciences (ethical code: IR.USWR.REC.1395.88).

Conflict of Interest

The authors declared no potential conflicts of interest.

Author’s Contributions

Conceptualization: ZA, Lk; Methodology: all authors; Investigation: all authors; Writing, Original Draft: all authors; Writing, Review & Editing: ZA, Lk, VB; Funding Acquisition: all authors; Supervision: VB.

Research Highlights

What is the current knowledge?

The mental disorders in elderly that accompanies with cognitive impairment is real complex. Depression is a risk factor for dementia and also the fact that existing dementia is positively correlated with a high score of GDS.

What is new here?

Cognitive impairments often remain after remission of other symptoms of depression. So assessing cognitive impairment and depression in the elderly have to be part of a scientific approach in Comprehensive Geriatric Assessment (CGA).

References

  1. 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. Salmand: Iranian Journal of Ageing 2012; 7(1): 57-66. [Persian].
  2. Borhaninejad V, Kazazi L, Haghi M, Chehrehnegar N. Quality of life and its related factors among elderly with diabetes. Salmand: Iranian Journal of Ageing 2016; 11(1): 162-73. doi: 10.21859/sija-1101162. [Crossref]
  3. Skirbekk VF, Staudinger UM, Cohen JE. How to measure population aging? the answer is less than obvious: a review. Gerontology 2019; 65(2): 136-44. doi: 10.1159/000494025. [Crossref]
  4. Sajadi H, Mohaqeqi Kamal H, Vameghi M, Forozan AS, Rafei H, Nosratabadi M. Systematic review of prevalence and risk factors associated with depression and its treatment in Iranian elderly. Salmand: Iranian Journal of Ageing 2013; 7(4): 7-15. [Persian].
  5. Sarokhani D, Parvareh M, Hasanpour Dehkordi A, Sayehmiri K, Moghimbeigi A. Prevalence of depression among Iranian elderly: systematic review and meta-analysis. Iran J Psychiatry 2018; 13 (1): 55-64.
  6. Feng L, Yap KB, Ng TP. Depressive symptoms in older adults with chronic kidney disease: mortality, quality of life outcomes, and correlates. Am J Geriatr Psychiatry 2013; 21(6): 570-9. doi: 10.1016/j.jagp.2012.12.020. [Crossref]
  7. Ho C, Feng L, Fam J, Mahendran R, Kua EH, Ng TP. Coexisting medical comorbidity and depression: multiplicative effects on health outcomes in older adults. Int Psychogeriatr 2014; 26(7): 1221-9. doi: 10.1017/s1041610214000611. [Crossref]
  8. Banerjee A, Kumar S, Kulhara P, Gupta A. Prevalence of depression and its effect on disability in patients with age-related macular degeneration. Indian J Ophthalmol 2008; 56(6): 469-74. doi: 10.4103/0301-4738.42643. [Crossref]
  9. Chaves AS, dos Santos AM, Soares de Britto E Alves MT, Filho NS. Association between cognitive decline and the quality of life of hypertensive elderly individuals. Rev Bras Geriatr Gerontol 2015; 18(3): 545-56. doi: 10.1590/1809-9823.2015.14043. [Crossref]
  10. De Ronchi D, Berardi D, Menchetti M, Ferrari G, Serretti A, Dalmonte E, et al. Occurrence of cognitive impairment and dementia after the age of 60: a population-based study from Northern Italy. Dement Geriatr Cogn Disord 2005; 19(2-3): 97-105. doi: 10.1159/000082660. [Crossref]
  11. Seifaddini R, Tajadini H, Choopani R. Physiopathology of dementia from the perspective of traditional Persian medicine. J Evid Based Complementary Altern Med 2015; 20(3): 224-7. doi: 10.1177/2156587214566275. [Crossref]
  12. Nejati V. Cognitive-executive functions of brain frontal lobe in aged adults. Journal of Behavioral Sciences 2010; 4(1): 59-64. [Persian].
  13. Caracciolo B, Palmer K, Monastero R, Winblad B, Bäckman L, Fratiglioni L. Occurrence of cognitive impairment and dementia in the community: a 9-year-long prospective study. Neurology 2008; 70(19 Pt 2): 1778-85. doi: 10.1212/01.wnl.0000288180.21984.cb. [Crossref]
  14. Unverzagt FW, Ogunniyi A, Taler V, Gao S, Lane KA, Baiyewu O, et al. Incidence and risk factors for cognitive impairment no dementia and mild cognitive impairment in African Americans. Alzheimer Dis Assoc Disord 2011; 25(1): 4-10. doi: 10.1097/WAD.0b013e3181f1c8b1. [Crossref]
  15. Arun MP, Bharath S, Pal PK, Singh G. Relationship of depression, disability, and quality of life in Parkinson’s disease: a hospital-based case-control study. Neurol India 2011; 59(2): 185-9. doi: 10.4103/0028-3886.79133. [Crossref]
  16. Rashedi V, Morasae EK. P055: depression and cognition state of older adults resorting to day care centers: are they related? Eur Geriatr Med 2014; 5(Suppl 1): S99.
  17. Martinelli JE, Cecato JF, Bartholomeu D, Montiel JM. Comparison of the diagnostic accuracy of neuropsychological tests in differentiating Alzheimer’s disease from mild cognitive impairment: can the Montreal cognitive assessment be better than the Cambridge cognitive examination? Dement Geriatr Cogn Dis Extra 2014; 4(2): 113-21. doi: 10.1159/000360279. [Crossref]
  18. Foroughan M, Jafari Z, Shirin Bayan P, Ghaem Magham Farahani Z, Rahgozar M. Validation of a Mini-Mental State Examination (MMSE) in the elderly population of Tehran. Advances in Cognitive Science 2008; 10(2): 29-37. [Persian].
  19. Ansari NN, Naghdi S, Hasson S, Valizadeh L, Jalaie S. Validation of a Mini-Mental State Examination (MMSE) for the Persian population: a pilot study. Appl Neuropsychol 2010; 17(3): 190-5. doi: 10.1080/09084282.2010.499773. [Crossref]
  20. Farajzadeh M, Ghanei Gheshlagh R, Rashadmanesh N, Zarei M, Amini H. Does tea consumption reduce the chances of depression in the elderly? case-control study. J Gerontol 2017; 1(4): 29-37. doi: 10.18869/acadpub.joge.1.4.29 [Persian]. [Crossref]
  21. Kheirkhah F, Hosseini SR, Fallah R, Bijani A. Prevalence of cognitive disorders in elderly people of Amirkola (2011-2012). Iranian Journal of Psychiatry and Clinical Psychology 2014; 19(4): 247-54. [Persian].
  22. Rashedi V, Foroughan M, Nazari H, Seeher K, Brodaty H. Validity and reliability of the Persian version of general practitioner assessment of cognition (P-GPCOG). Aging Ment Health 2019; 23(8): 961-5. doi: 10.1080/13607863.2018.1473840. [Crossref]
  23. Wu MS, Lan TH, Chen CM, Chiu HC, Lan TY. Socio-demographic and health-related factors associated with cognitive impairment in the elderly in Taiwan. BMC Public Health 2011; 11: 22. doi: 10.1186/1471-2458-11-22. [Crossref]
  24. Sengupta P, Benjamin AI, Singh Y, Grover A. Prevalence and correlates of cognitive impairment in a north Indian elderly population. WHO South East Asia J Public Health 2014; 3(2): 135-43. doi: 10.4103/2224-3151.206729. [Crossref]
  25. Paúl C, Ribeiro O, Santos P. Cognitive impairment in old people living in the community. Arch Gerontol Geriatr 2010; 51(2): 121-4. doi: 10.1016/j.archger.2009.09.037. [Crossref]
  26. Rodríguez-Sánchez E, Mora-Simón S, Patino-Alonso MC, García-García R, Escribano-Hernández A, García-Ortiz L, et al. Prevalence of cognitive impairment in individuals aged over 65 in an urban area: DERIVA study. BMC Neurol 2011; 11: 147. doi: 10.1186/1471-2377-11-147. [Crossref]
  27. Rashid AK, Azizah AM, Rohana S. Cognitive impairment among the elderly Malays living in rural Malaysia. Med J Malaysia 2012; 67(2): 186-9.
  28. Kim MD, Park JH, Lee CI, Kang NR, Ryu JS, Jeon BH, et al. Prevalence of dementia and its correlates among participants in the National Early Dementia Detection Program during 2006-2009. Psychiatry Investig 2012; 9(2): 134-42. doi: 10.4306/pi.2012.9.2.134. [Crossref]
  29. Mirzaei M, Sepahvand E, Sahaf R, Mirzaei S, Pakdel A. The prevalence of cognitive impairment in elderly nursing home residents. Journal of Sabzevar University of Medical Sciences 2017; 23(6): 896-901. doi: 10.21859/sums-2306896 [Persian]. [Crossref]
  30. Davoodi F, Etemad K, Taheri Tanjani P, Khodakarim S. The relationship between depression and cognitive impairment with falls leading to fractures in elderly. Safety Promotion and Injury Prevention 2016; 4(2): 75-82. [Persian].
  31. Azadi A, Taghinezhad H, Bastami M, Bastami A, Pashaei sabet F. The study amount of Anxiety and Depression among elderly Diabetic patients referred to Shahid Mostafa Khomeini in Ilam and Shohada Ashayer hospitals in Khoramabad 2015. Iranian Journal of Nursing Research 2016; 11(3): 1-9. [Persian].
  32. Kazazi L, Foroughan M, Nejati V, Shati M. Association between age associated cognitive decline and health related quality of life among Iranian older individuals. Electron Physician 2018; 10(4): 6663-71. doi: 10.19082/6663. [Crossref]
  33. Rashedi V, Rezaei M, Foroughan M, Delbari A. Validity and reliability of the depression in old age scale (DIA-S) in Iranian older adults. Arch Gerontol Geriatr 2016; 66: 193-7. doi: 10.1016/j.archger.2016.06.009. [Crossref]
  34. Villarreal AE, Grajales S, Lopez L, Britton GB. Cognitive impairment, depression, and cooccurrence of both among the elderly in Panama: differential associations with multimorbidity and functional limitations. Biomed Res Int 2015; 2015: 718701. doi: 10.1155/2015/718701. [Crossref]
  35. Peters ME, Rosenberg PB, Steinberg M, Tschanz JT, Norton MC, Welsh-Bohmer KA, et al. Prevalence of neuropsychiatric symptoms in CIND and its subtypes: the cache county study. Am J Geriatr Psychiatry 2012; 20(5): 416-24. doi: 10.1097/JGP.0b013e318211057d. [Crossref]
  36. Rashedi V, Rezaei M, Gharib M. Prevalence of cognitive impairment in community-dwelling older adults. Basic Clin Neurosci 2014; 5(1): 28-30.
  37. Wilson RS, Mendes De Leon CF, Bennett DA, Bienias JL, Evans DA. Depressive symptoms and cognitive decline in a community population of older persons. J Neurol Neurosurg Psychiatry 2004; 75(1): 126-9.
  38. Ganguli M. Depression, cognitive impairment and dementia: why should clinicians care about the web of causation? Indian J Psychiatry 2009; 51(Suppl 1): S29-34.
  39. Bagheri F, Borhaninejad V, Rashedi V. Alzheimer’s disease and hearing loss among older adults: a literature review. Int J Psychol Behav Sci 2018; 8(5): 77-80. doi: 10.5923/j.ijpbs.20180805.01. [Crossref]
  40. Burke AD, Goldfarb D, Bollam P, Khokher S. Diagnosing and treating depression in patients with Alzheimer’s disease. Neurol Ther 2019; 8(2): 325-50. doi: 10.1007/s40120-019-00148-5. [Crossref]
Submitted: 04 Dec 2018
Revised: 09 Jan 2019
Accepted: 12 Feb 2020
First published online: 18 Aug 2020
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