Volume 17, Issue 4 (Winter 2023)                   Salmand: Iranian Journal of Ageing 2023, 17(4): 472-491 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Azizi Zeinalhajlou A, Safaeian A R, Nadrian H, Hashemiparast M, Alizaddeh Aghdam M B, Matlabi H. Psychometric Properties of the Persian Version of the Social Disconnectedness and Perceived Isolation Scales in Iranian Older Adults. Salmand: Iranian Journal of Ageing 2023; 17 (4) :472-491
URL: http://salmandj.uswr.ac.ir/article-1-2213-en.html
1- Physical Medicine and Rehabilitation Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran Tabriz, Iran.
2- Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran.
3- Department of Health Education and Promotion, Faculty of Health Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
4- Department of Health Education and Promotion, Faculty of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.
5- Department of Social Sciences, Faculty of Law and Social Sciences, University of Tabriz, Tabriz, Iran.
6- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran. , hm1349@gmail.com
Full-Text [PDF 7802 kb]   (1425 Downloads)     |   Abstract (HTML)  (2522 Views)
Full-Text:   (807 Views)
Introduction
Social isolation of the elderly is one of the major global concerns. Social isolation, which is characterized by the lack or limitation of social interactions between people [1], is one of the most important risk factors for chronic diseases, but there is low knowledge about it [23, 4]. Social isolation consists of two objective (social disconnectedness) and subjective (perceived isolation) dimensions [2, 5]. The objective dimension includes tangible aspects such as physical separation and lack of interaction with others [6] while the subjective dimension includes the feeling of loneliness and the perception of lack of social support [7]. The objective and subjective dimensions of social isolation are distinct from each other and the experience of one of them does not necessarily mean the experience of the other [8]. Despite the importance of examining the objective and subjective dimensions at the same time, most of the existing tools only examine one of these dimensions. The social disconnectedness/perceived isolation scale is among the few tools for simultaneously investigating the objective and subjective dimensions of social isolation among the elderly [5, 7]. The social disconnectedness scale has a two-factor structure, including the restricted social network dimension and the social inactivity dimension. The perceived isolation scale also comprises two dimensions: lack of support and loneliness. It was developed by Cornwell and White [5, 7]. This study aims to evaluate the psychometric properties of the Persian versions of the social disconnectedness and perceived isolation scales for Iranian older adults.
Methods
The steps of translation and back-translation were carried out according to the standard protocol of the World Health Organization [9] with permission from the designers of the scales. Validation of the scales was done in a sample of 390 older adults aged 60 years or more in Tabriz, Iran who were selected by a cluster sampling method with probability proportional to size. Face validity was determined after face-to-face interviews with 15 older adults. The content validity index (CVI) and the content validity ratio (CVR) were examined based on the opinions of a panel of experts. The minimum acceptable value of CVR based on the number of experts and the Lawshe table is ≥0.49 [10] and the minimum acceptable value of CVI is ≤ 0.80 [11]. Due to cultural differences, the “partner” domain was removed from the list of restricted social network dimension. Also, participation in religious ceremonies and congregational prayers were added as examples of group activities. In addition, participating in activities such as helping to feed, educate and treat the poor and needy people, helping with mosque affairs and holding religious ceremonies were added as examples of voluntary activities. Exploratory factor analysis (EFA) was used to investigate the factor structure. The structure of the studied scales was checked by confirmatory factor analysis (CFA). To determine reliability, two methods of calculating Cronbach’s alpha coefficient and intraclass correlation coefficient (ICC) were used. Data analysis was done in SPSS version 23 and AMOS version 18 software.
Results
Of 390 participants, 212(54.4%) were men and 178(45.6%) were women. Their mean age was 68.9±7.7 years. For the social disconnectedness scale, CVR=0.98 and CVI=0.91 and for the perceived isolation scale CVR=0.91 and CVI=0.96. The sampling adequacy test Kaiser-Meyer-Olkin (KMO) for the two scales of social disconnectedness (0.701) and perceived isolation (0.750) showed the adequacy of sampling and the feasibility of factor analysis.
EFA with Varimax rotation showed that 8 items of the Persian version of the social disconnectedness scale supported a three-factor structure. The social inactivity dimension was confirmed in the Persian version, while the restricted social network dimension was divided into two factors of family-oriented and community-oriented. The amount of variance explained by the 3-factor structure of the Persian version of the social disconnectedness scale was 58.7%. CFA and structural equation modeling confirmed the three-factor structure of the Persian version of the social disconnectedness scale (RMSEA=0.050, GFI=0.951, CFI=0.950, and TLI=0.955).
EFA with varimax rotation showed that 9 items of the Persian version of the Perceived Isolation Scale supported a four-factor structure. The lack of support dimension was divided into three sub-factors of lack of support from family members (2 items), friends (2 items), and spouse (2 items). The amount of variance explained by the 4-factor structure of the Persian version of the Perceived Isolation Scale was 81.1%. The items and factors of the original version and the Persian version of the two scales are shown in Table 1.


CFA and structural equation modeling confirmed the 4-factor structure of the Persian version of perceived isolation scale (RMSEA=0.045, GFI=0.955, CFI=0.955, and TLI=0.950).
Cronbach’s alpha was 0.64 the social disconnectedness scale and 0.76 for the perceived isolation scale. Also, the ICC ranged 0.77-0.97 for the social disconnectedness scale and 0.73-0.92 for the perceived isolation scale.
Discussion
Understanding the characteristics of the social networks of the elderly provides valuable information for planning and designing preventive interventions for the social isolation of the elderly [12]. The main purpose of the present study was to investigate the psychometric properties and factor structure of the Persian version of the social disconnectedness/perceived isolation scale for Iranian elderly. The EFA results showed the emergence of different factors in the Persian version of the disconnectedness/perceived isolation scale. The difference due to cultural and ethnic differences and other sociological components, including social norms. The importance of the types of relationships in the personal social network is different in different cultures [13]. Although the Persian version of the social disconnectedness/perceived isolation scale has a different factor structure from that of the main version, it has good validity and reliability for use in Iranian older adults for measurement and interventions in the field of social isolation.

Ethical Considerations
Compliance with ethical guidelines

This study was approved by the ethics committee of Tabriz University of Medical Sciences (Code: IR.TBZMED.REC.1398.768)

Funding
This study was extracted from a PhD thesis. It was funded by Tabriz University of Medical Sciences.

Authors' contributions
Conceptualization, data collection and analysis: Akbar Azizi Zeinalhajlou; Conceptualization,, design, data analysis: Abdol Rasoul Safaeian;  supervision, initial draft preparation: Haidar Nadrian; editing & review: Mina Hashemiparast; initial draft preparation: Mohammad Bagher Alizaddeh Aghdam; Conceptualization and project administration: Hosein Matlabi; final approval: All authors.

Conflicts of interest
The authors declare no conflict of interest.

Acknowledgements
The authors would like to thank Tabriz University of Medical Sciences for their support.

References
  1. Leigh-Hunt N, Bagguley D, Bash K, Turner V, Turnbull S, Valtorta N, et al. An overview of systematic reviews on the public health consequences of social isolation and loneliness. Public Health. 2017; 152:157-71. [DOI:10.1016/j.puhe.2017.07.035] [PMID]
  2. Holt-Lunstad J. A pandemic of social isolation? World Psychiatry. 2021; 20(1):55-6. [DOI:10.1002/wps.20839] [PMID] [PMCID]
  3. Nicholson Jr. NR. Social isolation in older adults: an evolutionary concept analysis. Journal of Advanced Nursing. 2009; 65(6):1342-52. [DOI:10.1111/j.1365-2648.2008.04959.x] [PMID]
  4. Buffel T, Rémillard-Boilard S, Phillipson C. Social isolation among older people in urban areas. A review of the literature for the ambition for ageing programme in greater Manchester. Manchester: University of Manchester Institute for Collaborative Research on Ageing; 2015. [Link]
  5. Cacioppo JT, Hawkley LC. Social isolation and health, with an emphasis on underlying mechanisms. Perspectives in Biology and Medicine. 2003; 46(S 3):S39-52. [DOI:10.1353/pbm.2003.0063]
  6. Malcolm M, Frost H, Cowie J. Loneliness and social isolation causal association with health-related lifestyle risk in older adults: a systematic review and meta-analysis protocol. Systematic Reviews. 2019; 8(1):48. [DOI:10.1186/s13643-019-0968-x] [PMID] [PMCID]
  7. Lubben J. Addressing social isolation as a potent killer! Public Policy & Aging Report. 2018; 27(4):136-8. [DOI:10.1093/ppar/prx026]
  8. Courtin E, Knapp M. Social isolation, loneliness and health in old age: a scoping review. Health & Social Care in the Community. 2017; 25(3):799-812. [DOI:10.1111/hsc.12311] [PMID]
  9. Cornwell EY, Waite LJ. Measuring social isolation among older adults using multiple indicators from the NSHAP study. The Journals of Gerontology: Series B. 2009; 64B(S 1):i38-46. [DOI:10.1093/geronb/gbp037] [PMID] [PMCID]
  10. Cornwell EY, Waite LJ. Social disconnectedness, perceived isolation, and health among older adults. Journal of Health and Social Behavior. 2009; 50(1):31-48. [DOI:10.1177/002214650905000103] [PMID] [PMCID]
  11. Cotterell N, Buffel T, Phillipson C. Preventing social isolation in older people. Maturitas. 2018; 113:80-4. [DOI:10.1016/j.maturitas.2018.04.014] [PMID]
  12. Taylor HO, Taylor RJ, Nguyen AW, Chatters L. Social isolation, depression, and psychological distress among older adults. Journal of Aging and Health. 2016; 30(2):229-46. [DOI:10.1177/0898264316673511] [PMID] [PMCID]
  13. Poscia A, Stojanovic J, La Milia DI, Duplaga M, Grysztar M, Moscato U, et al. Interventions targeting loneliness and social isolation among the older people: An update systematic review. Experimental Gerontology. 2018; 102:133-44. [DOI:10.1016/j.exger.2017.11.017] [PMID]
  14. Ma R, Mann F, Wang J, Lloyd-Evans B, Terhune J, Al-Shihabi A, et al. The effectiveness of interventions for reducing subjective and objective social isolation among people with mental health problems: a systematic review. Social Psychiatry Psychiatr Epidemiol. 2020; 55(7):839-76. [DOI:10.1007/s00127-019-01800-z] [PMID] [PMCID]
  15. Fiordelli M, Sak G, Guggiari B, Schulz PJ, Petrocchi S. Differentiating objective and subjective dimensions of social isolation and apprasing their relations with physical and mental health in italian older adults. BMC Geriatrics. 2020; 20(1):472. [DOI:10.1186/s12877-020-01864-6] [PMID] [PMCID]
  16. Lubben J, Blozik E, Gillmann G, Iliffe S, von Renteln Kruse W, Beck JC, et al. Performance of an abbreviated version of the Lubben social network scale among three European community-dwelling older adult populations. The Gerontologist. 2006; 46(4):503-13. [DOI:10.1093/geront/46.4.503] [PMID]
  17. Gierveld JDJ, Tilburg TV. A 6-item scale for overall, emotional, and social loneliness: Confirmatory tests on survey data. Research on Aging. 2006; 28(5):582-98. [DOI:10.1177/0164027506289723]
  18. Sarason IG, Sarason BR, Shearin EN, Pierce GR. A brief measure of social support: Practical and theoretical implications. Journal of Social and Personal Relationships. 1987; 4(4):497-510. [DOI:10.1177/0265407587044007]
  19. Wardian J, Robbins D, Wolfersteig W, Johnson T, Dustman P. Validation of the DSSI-10 to measure social support in a general population. Research on Social Work Practice. 2013; 23(1):100-6. [DOI:10.1177/1049731512464582]
  20. Russell D, Peplau LA, Ferguson ML. Developing a measure of loneliness. Journal of Personality Assessment. 1978; 42(3):290-4. [DOI:10.1207/s15327752jpa4203_11]
  21. Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. Journal of Personality Assessment. 1988; 52(1):30-41. [DOI:10.1207/s15327752jpa5201_2]
  22. Freak-Poli R, Ryan J, Tran T, Owen A, McHugh Power J, Berk M, et al. Social isolation, social support and loneliness as independent concepts, and their relationship with health-related quality of life among older women. Aging & Mental Health. 2022; 26(7):1335-44. [DOI:10.1080/13607863.2021.1940097] [PMID]
  23. Cudjoe TKM, Roth DL, Szanton SL, Wolff JL, Boyd CM, Thorpe RJ. The epidemiology of social isolation: National health and aging trends study. The Journals of Gerontology: Series B. 2018; 75(1):107-13. [DOI:10.1093/geronb/gby037] [PMID] [PMCID]
  24. Seyfzadeh A, Haghighatian M, Mohajerani A. Social isolation in the elderly: The neglected issue. Iranian Journal of Public Health. 2019; 48(2):365-6. [DOI:10.18502/ijph.v48i2.844]
  25. Quach LT, Burr JA. Perceived social isolation, social disconnectedness and falls: the mediating role of depression. Aging & Mental Health. 2021; 25(6):1029-34. [DOI:10.1080/13607863.2020.1732294] [PMID] [PMCID]
  26. Santini ZI, Jose PE, York Cornwell E, Koyanagi A, Nielsen L, Hinrichsen C, et al. Social disconnectedness, perceived isolation, and symptoms of depression and anxiety among older Americans (NSHAP): a longitudinal mediation analysis. The Lancet Public Health. 2020; 5(1):e62-70. [DOI:10.1016/S2468-2667(19)30230-0] [PMID]
  27. Guilcher SJT, Catharine Craven B, Bassett-Gunter RL, Cimino SR, Hitzig SL. An examination of objective social disconnectedness and perceived social isolation among persons with spinal cord injury/dysfunction: a descriptive cross-sectional study. Disability and Rehabilitation. 2021; 43(1):69-75. [DOI:10.1080/09638288.2019.1616328] [PMID]
  1. World Health Organization. Process of translation and adaptation of instruments. Geneva: World Health Organization. [Link]
  2. Lawshe CH. A quantitative approach to content validity. Personnel Psychology. 1975; 28(4):563-75. [DOI:10.1111/j.1744-6570.1975.tb01393.x]
  3. Polit DF, Beck CT. The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health. 2006; 29(5):489-97. [DOI:10.1002/nur.20147] [PMID]
  4. Skinner CJ. Probability Proportional to Size (PPS) sampling. New Jersey: Wiley & Sons, Ltd; 2016. [DOI:10.1002/9781118445112.stat03346.pub2]
  5. Fiori KL, Antonucci TC, Akiyama H. Profiles of social relations among older adults: a cross-cultural approach. Ageing and Society. 2008; 28(2):203-31. [DOI:10.1017/S0144686X07006472]
  6. Fuhse JA. Culture and social networks. In: Scott RA, Buchmann MC, Kosslyn SM, editors. Emerging trends in the social and behavioral sciences. New Jersey: John Wiley & Sons; 2015. [DOI:10.1002/9781118900772.etrds0066]
  7. Scott J. Social network analysis: developments, advances, and prospects. Social Network Analysis and Mining. 2011; 1(1):21-6. [DOI:10.1007/s13278-010-0012-6]
  8. Doubova Dubova SV, Pérez-Cuevas R, Espinosa-Alarcón P, Flores-Hernández S. Social network types and functional dependency in older adults in Mexico. BMC Public Health. 2010; 10:104. [DOI:10.1186/1471-2458-10-104] [PMID] [PMCID]
  9. Billington R, Hockey JL, Strawbridge S. Exploring self and society. London: Red Globe Press; 1998. [DOI:10.1007/978-1-349-26632-6]
  10. Gould SJ. Second order confirmatory factor analysis: An example. In: Hawes JM, Glisan GB, editors. Proceedings of the 1987 Academy of Marketing Science (AMS) Annual Conference. New York: springer cham; 2015. [DOI:10.1007/978-3-319-17052-7_100]
  11. Unger JB, McAvay G, Bruce ML, Berkman L, Seeman T. Variation in the impact of social network characteristics on physical functioning in elderly persons: MacArthur studies of successful aging. The Journals of Gerontology. Series B. 1999; 54(5):S245-51. [DOI:10.1093/geronb/54B.5.S245] [PMID]
  12. Merchant RA, Liu SG, Lim JY, Fu X, Chan YH. Factors associated with social isolation in community-dwelling older adults: a cross-sectional study. Quality of Life Research. 2020; 29(9):2375-81. [DOI:10.1007/s11136-020-02493-7] [PMID]
  13. Samei Sis S, Safaeeian A, Azizi Zeinalhajlou A, Matlabi H. Viewpoints of older people toward the features of age-friendly communities: map for charting progress in Tabriz, Iran. Journal of Aging and Environment. 2020; 36(1):73-89. [DOI:10.1080/26892618.2020.1859037]

 
Type of Study: Research | Subject: gerontology
Received: 2021/04/11 | Accepted: 2021/11/24 | Published: 2023/02/25

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Ageing

Designed & Developed by : Yektaweb