Skip to main content
Log in

Validation of a Social Networks and Support Measurement Tool for Use in International Aging Research: The International Mobility in Aging Study

  • ORIGINAL ARTICLE
  • Published:
Journal of Cross-Cultural Gerontology Aims and scope Submit manuscript

Abstract

The purpose of this study was to develop and validate a new instrument to assess social networks and social support (IMIAS-SNSS) for different types of social ties in an international sample of older adults. The study sample included n = 1995 community dwelling older people aged between 65 and 74 years from the baseline of the longitudinal International Mobility in Aging Study (IMIAS). In order to measure social networks for each type of social tie, participants were asked about the number of contacts, the number of contacts they see at least once a month or have a very good relationship with, or speak with at least once a month. For social support, participants had to rate the level of social support provided by the four types of contacts for five Likert scale items. Confirmatory Factor Analysis was conducted to determine the goodness of fit of the measurement models. Satisfactory goodness-of-fit indices confirmed the satisfactory factorial structure of the IMIAS-SNSS instrument. Reliability coefficients were 0.80, 0.81, 0.85, and 0.88 for friends, children, family, and partner models, respectively. The models were confirmed by CFA for each type of social tie. Moreover, IMIAS-SNSS detected gender differences in the older adult populations of IMIAS. These results provide evidence supporting that IMIAS-SNSS is a psychometrically sound instrument and of its validity and reliability for international populations of older adults.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Antonucci, T. C., Ajrouch, K. J., & Abdulrahim, S. (2015). Social Relations in Lebanon: Convoys Across the Life Course. Gerontologist, 55(5), 825–835. https://doi.org/10.1093/geront/gnt209

    Article  Google Scholar 

  • Antonucci, T. C., Ajrouch, K. J., & Birditt, K. S. (2014). The convoy model: explaining social relations from a multidisciplinary perspective. Gerontologist, 54(1), 82–92. https://doi.org/10.1093/geront/gnt118

    Article  Google Scholar 

  • Antonucci, T. C., & Akiyama, H. (1987). Social networks in adult life and a preliminary examination of the convoy model. Journal of Gerontology, 42(5), 519–527.

    Article  Google Scholar 

  • Antonucci, T. C., Akiyama, H., & Takahashi, K. (2004). Attachment and close relationships across the life span. Attachment & Human Development, 6(4), 353–370. https://doi.org/10.1080/1461673042000303136

    Article  Google Scholar 

  • Antonucci, T. C., Lansford, J. E., Akiyama, H., Smith, J., Baltes, M. M., Takahashi, K., et al. (2002). Differences Between Men and Women in Social Relations, Resource Deficits, and Depressive Symptomatology During Later Life in Four Nations. Journal of Social Issues, 58(4), 767–783. https://doi.org/10.1111/1540-4560.00289

    Article  Google Scholar 

  • Avlund, K., Lund, R., Holstein, B. E., Due, P., Sakari-Rantala, R., & Heikkinen, R. L. (2004). The impact of structural and functional characteristics of social relations as determinants of functional decline. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 59(1), S44–S51.

    Article  Google Scholar 

  • Banks, J., Berkman, L., Smith, J. P., Avendano, M., & Glymour, M. (2010). Do cross-country variations in social integration and social interactions explain differences in life expectancy in industrialized countries? In National Research Council (US) Panel on Understanding Divergent Trends in Longevity in High-Income Countries; E. M. Crimmins, S. H. Preston, B. Cohen (Eds.), International Differences in Mortality at Older Ages: Dimensions and Sources. Washington (DC): National Academies Press (US). Available from: https://www.ncbi.nlm.nih.gov/books/NBK62601/

  • Barefoot, J. C., Gronbaek, M., Jensen, G., Schnohr, P., & Prescott, E. (2005). Social network diversity and risks of ischemic heart disease and total mortality: findings from the Copenhagen City Heart Study. American Journal of Epidemiology, 161(10), 960–967. https://doi.org/10.1093/aje/kwi128

    Article  Google Scholar 

  • Belanger, E., Ahmed, T., Vafaei, A., Curcio, C. L., Phillips, S. P., & Zunzunegui, M. V. (2016). Sources of social support associated with health and quality of life: a cross-sectional study among Canadian and Latin American older adults. BMJ Open, 6(6), e011503. https://doi.org/10.1136/bmjopen-2016-011503

    Article  Google Scholar 

  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588

    Article  Google Scholar 

  • Berkman, L. F., Glass, T., Brissette, I., & Seeman, T. E. (2000). From social integration to health: Durkheim in the new millennium. Social Science & Medicine, 51(6), 843–857. https://doi.org/10.1016/S0277-9536(00)00065-4

    Article  Google Scholar 

  • Bland, J. M., & Altman, D. G. (1997). Cronbach’s alpha. BMJ, 314(7080), 572.

    Article  Google Scholar 

  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford Press.

    Google Scholar 

  • Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16–29. https://doi.org/10.1037/1082-989X.1.1.16

    Article  Google Scholar 

  • de Leon, C. F. M., Glass, T. A., Beckett, L. A., Seeman, T. E., Evans, D. A., & Berkman, L. F. (1999). Social Networks and Disability Transitions Across Eight Intervals of Yearly Data in the New Haven EPESE. The Journals of Gerontology: Series B, 54B(3), S162–S172. https://doi.org/10.1093/geronb/54B.3.S162

    Article  Google Scholar 

  • de Yébenes, M. J. G., Otero, A., Zunzunegui, M. V., Rodríguez-Laso, A., Sánchez-Sánchez, F., & Del Ser, T. (2003). Validation of a short cognitive tool for the screening of dementia in elderly people with low educational level. International Journal of Geriatric Psychiatry, 18(10), 925–936. https://doi.org/10.1002/gps.947

    Article  Google Scholar 

  • Diamantopoulos, A., & Siguaw, J. A. (2000). Introducing LISREL: A Guide for the Uninitiated. Berlin: SAGE Publications.

    Book  Google Scholar 

  • Fuhrer, R., & Stansfeld, S. A. (2002). How gender affects patterns of social relations and their impact on health: a comparison of one or multiple sources of support from "close persons". Social Science & Medicine, 54(5), 811–825.

    Article  Google Scholar 

  • Fuhrer, R., Stansfeld, S. A., Chemali, J., & Shipley, M. J. (1999). Gender, social relations and mental health: prospective findings from an occupational cohort (Whitehall II study). Social Science & Medicine, 48(1), 77–87.

    Article  Google Scholar 

  • Fuller-Iglesias, H. R., & Antonucci, T. (2016). Convoys of social support in Mexico: Examining socio-demographic variation. International Journal of Behavioral Development, 40(4), 324–333. https://doi.org/10.1177/0165025415581028

    Article  Google Scholar 

  • García, E. L., Banegas, J. R., Pérez-Regadera, A. G., Cabrera, R. H., & Rodríguez-Artalejo, F. (2005). Social network and health-related quality of life in older adults: A population-based study in Spain. Quality of Life Research, 14(2), 511–520. https://doi.org/10.1007/s11136-004-5329-z

    Article  Google Scholar 

  • Giles, L. C., Anstey, K. J., Walker, R. B., & Luszcz, M. A. (2012). Social Networks and Memory over 15 Years of Followup in a Cohort of Older Australians: Results from the Australian Longitudinal Study of Ageing. Journal of Aging Research, 2012, 856048. https://doi.org/10.1155/2012/856048

    Article  Google Scholar 

  • Giles, L. C., Glonek, G. F. V., Luszcz, M. A., & Andrews, G. R. (2005). Effect of social networks on 10 year survival in very old Australians: the Australian longitudinal study of aging. Journal of Epidemiology and Community Health, 59(7), 574–579. https://doi.org/10.1136/jech.2004.025429

    Article  Google Scholar 

  • Glass, T. A., De Leon, C. F. M., Seeman, T. E., & Berkman, L. F. (1997a). Beyond single indicators of social networks: a LISREL analysis of social ties among the elderly. Social Science & Medicine, 44(10), 1503–1517.

    Article  Google Scholar 

  • Glass, T. A., Mendes de Leon, C. F., Seeman, T. E., & Berkman, L. F. (1997b). Beyond single indicators of social networks: a LISREL analysis of social ties among the elderly. Social Science & Medicine, 44(10), 1503–1517.

    Article  Google Scholar 

  • Gruenewald, T. L., Karlamangla, A. S., Greendale, G. A., Singer, B. H., & Seeman, T. E. (2007). Feelings of Usefulness to Others, Disability, and Mortality in Older Adults: the MacArthur Study of Successful Aging. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 62(1), P28–P37.

    Article  Google Scholar 

  • Guedes, D. T., Alvarado, B. E., Phillips, S. P., Curcio, C. L., Zunzunegui, M. V., & Guerra, R. O. (2015). Socioeconomic status, social relations and domestic violence (DV) against elderly people in Canada, Albania, Colombia and Brazil. Archives of Gerontology and Geriatrics, 60(3), 492–500. https://doi.org/10.1016/j.archger.2015.01.010

    Article  Google Scholar 

  • Holt-Lunstad, J., Smith, T. B., & Layton, J. B. (2010). Social Relationships and Mortality Risk: A Meta-analytic Review. PLoS Medicine, 7(7), e1000316. https://doi.org/10.1371/journal.pmed.1000316

    Article  Google Scholar 

  • Hoyle, R. H. (2000). 16 - Confirmatory Factor Analysis. In H. E. A. Tinsley & S. D. Brown (Eds.), Handbook of Applied Multivariate Statistics and Mathematical Modeling (pp. 465–497). San Diego: Academic Press.

    Chapter  Google Scholar 

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives. Structural Equation Modeling-a Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

    Article  Google Scholar 

  • Iwasaki, M., Otani, T., Sunaga, R., Miyazaki, H., Xiao, L., Wang, N., et al. (2002). Social networks and mortality based on the Komo-Ise cohort study in Japan. International Journal of Epidemiology, 31(6), 1208–1218.

    Article  Google Scholar 

  • Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software International. http://psycnet.apa.org/record/1993-97878-000

    Google Scholar 

  • Kahn, J. H. (2006). Factor Analysis in Counseling Psychology Research, Training, and Practice: Principles, Advances, and Applications. The Counseling Psychologist, 34(5), 684–718. https://doi.org/10.1177/0011000006286347

    Article  Google Scholar 

  • Kendler, K. S., Myers, J., & Prescott, C. A. (2005). Sex differences in the relationship between social support and risk for major depression: a longitudinal study of opposite-sex twin pairs. The American Journal of Psychiatry, 162(2), 250–256. https://doi.org/10.1176/appi.ajp.162.2.250

    Article  Google Scholar 

  • Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: Guilford Press.

    Google Scholar 

  • Melchior, M., Berkman, L. F., Niedhammer, I., Chea, M., & Goldberg, M. (2003). Social relations and self-reported health: a prospective analysis of the French Gazel cohort. Social Science & Medicine, 56(8), 1817–1830. https://doi.org/10.1016/S0277-9536(02)00181-8

    Article  Google Scholar 

  • O'Leary-Kelly, S. W., & Vokurka, R. J. (1998). The empirical assessment of construct validity. Journal of Operations Management, 16(4), 387–405. https://doi.org/10.1016/S0272-6963(98)00020-5

    Article  Google Scholar 

  • Pinquart, M., & Duberstein, P. R. (2010). Associations of social networks with cancer mortality: a meta-analysis. Critical Reviews in Oncology/Hematology, 75(2), 122–137. https://doi.org/10.1016/j.critrevonc.2009.06.003

    Article  Google Scholar 

  • Raykov, T., & Marcoulides, G. A. (2006). A First Course in Structural Equation Modeling. New Jersey: Lawrence Erlbaum Associates.

    Google Scholar 

  • Rodriguez-Laso, A., Zunzunegui, M. V., & Otero, A. (2007). The effect of social relationships on survival in elderly residents of a Southern European community: a cohort study. BMC Geriatrics, 7, 19. https://doi.org/10.1186/1471-2318-7-19

    Article  Google Scholar 

  • Santini, Z. I., Koyanagi, A., Tyrovolas, S., Haro, J. M., Fiori, K. L., Uwakwa, R., et al. (2015). Social network typologies and mortality risk among older people in China, India, and Latin America: A 10/66 Dementia Research Group population-based cohort study. Social Science & Medicine, 147, 134–143. https://doi.org/10.1016/j.socscimed.2015.10.061

    Article  Google Scholar 

  • Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review. The Journal of Educational Research, 99(6), 323–338. https://doi.org/10.3200/JOER.99.6.323-338

    Article  Google Scholar 

  • Seeman, T. E., & Berkman, L. F. (1988). Structural characteristics of social networks and their relationship with social support in the elderly: who provides support. Social Science & Medicine, 26(7), 737–749.

    Article  Google Scholar 

  • Seeman, T. E., Lusignolo, T. M., Albert, M., & Berkman, L. (2001). Social relationships, social support, and patterns of cognitive aging in healthy, high-functioning older adults: MacArthur studies of successful aging. Health Psychology, 20(4), 243–255.

    Article  Google Scholar 

  • Seeman, T. E., Singer, B. H., Ryff, C. D., Dienberg Love, G., & Levy-Storms, L. (2002). Social relationships, gender, and allostatic load across two age cohorts. Psychosomatic Medicine, 64(3), 395–406.

    Article  Google Scholar 

  • Silvia, E. S. M., & MacCallum, R. C. (1988). Some Factors Affecting the Success of Specification Searches in Covariance Structure Modeling. Multivariate Behavioral Research, 23(3), 297–326. https://doi.org/10.1207/s15327906mbr2303_2

    Article  Google Scholar 

  • Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893–898. https://doi.org/10.1016/j.paid.2006.09.017

    Article  Google Scholar 

  • Tabachnick, B. G. F. L. S. (2013). Using multivariate statistics. Boston: Pearson.

    Google Scholar 

  • Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd

    Article  Google Scholar 

  • Zunzunegui, M.-V., Alvarado, B. E., Del Ser, T., & Otero, A. (2003a). Social Networks, Social Integration, and Social Engagement Determine Cognitive Decline in Community-Dwelling Spanish Older Adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 58(2), S93–S100. https://doi.org/10.1093/geronb/58.2.S93

    Article  Google Scholar 

  • Zunzunegui, M. V., Alvarado, B. E., Del Ser, T., & Otero, A. (2003b). Social networks, social integration, and social engagement determine cognitive decline in community-dwelling Spanish older adults. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 58(2), S93–S100.

    Article  Google Scholar 

  • Zunzunegui, M. V., Alvarado, B. E., Guerra, R., Gómez, J. F., Ylli, A., & Guralnik, J. M. (2015). The mobility gap between older men and women: The embodiment of gender. Archives of Gerontology and Geriatrics. https://doi.org/10.1016/j.archger.2015.06.005

  • Zunzunegui, M. V., Beland, F., & Otero, A. (2001). Support from children, living arrangements, self-rated health and depressive symptoms of older people in Spain. International Journal of Epidemiology, 30(5), 1090–1099.

    Article  Google Scholar 

  • Zunzunegui, M. V., Beland, F., Sanchez, M. T., & Otero, A. (2009). Longevity and relationships with children: the importance of the parental role. BMC Public Health, 9, 351. https://doi.org/10.1186/1471-2458-9-351

    Article  Google Scholar 

  • Zunzunegui, M. V., Kone, A., Johri, M., Beland, F., Wolfson, C., & Bergman, H. (2004a). Social networks and self-rated health in two French-speaking Canadian community dwelling populations over 65. Social Science & Medicine, 58(10), 2069–2081. https://doi.org/10.1016/j.socscimed.2003.08.005

    Article  Google Scholar 

  • Zunzunegui, M. V., Koné, A., Johri, M., Béland, F., Wolfson, C., & Bergman, H. (2004b). Social networks and self-rated health in two French-speaking Canadian community dwelling populations over 65. Social Science & Medicine, 58(10), 2069–2081. https://doi.org/10.1016/j.socscimed.2003.08.005

    Article  Google Scholar 

  • Zunzunegui, M. V., Rodriguez-Laso, A., Otero, A., Pluijm, S. M. F., Nikula, S., Blumstein, T., et al. (2005). Disability and social ties: comparative findings of the CLESA study. European Journal of Ageing, 2(1), 40–47. https://doi.org/10.1007/s10433-005-0021-x

    Article  Google Scholar 

Download references

Acknowledgements

This project was funded by the Canadian Institutes of Health Research, Institute of Aging, New Emerging Team; gender differences in immobility; reference number: AAM 108751. We are grateful to all the older adults who participated in this research. We would also like to thank our universities and institutes for providing continuous support and funding, particularly The Canadian Institutes of Health and the Institut de Recherche en Santé Publique de l’Université de Montréal.

Author information

Authors and Affiliations

Authors

Consortia

Contributions

AT supervised the data analysis and wrote the paper; KG performed the data analysis. BE, VA, ABE, BF and ZMV contributed to interpretation of results and revised the paper.

*In addition to the co-authors of this article on the International Mobility in Aging Study (IMIAS), the following researchers contributed at different steps of the study conception, design, data collection and analyses, listed by their academic affiliation: Freeman EE, at the Université de Montréal; Deshpande N, Garcia A, Philips S at Queens University; Curcio CL at Universidad de Caldas; Guerra R at Universidade Federale do Rio Grande do Norte, and Ylli A at the Albanian National Institute of Public Health.

Corresponding author

Correspondence to Tamer Ahmed.

Ethics declarations

Competing Interests

The authors declare that they have no competing interests.

Electronic Supplementary Material

ESM 1

(DOCX 36 kb)

Appendix

Appendix

Table 6 The SNSS scale in the five languages of the IMIAS study

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahmed, T., Belanger, E., Vafaei, A. et al. Validation of a Social Networks and Support Measurement Tool for Use in International Aging Research: The International Mobility in Aging Study. J Cross Cult Gerontol 33, 101–120 (2018). https://doi.org/10.1007/s10823-018-9344-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10823-018-9344-x

Keywords

Navigation