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Behavioural Science Section / Original Paper

Editor's Choice - Free Access

Social Networks among the Older Chinese Population in the USA: Findings from the PINE Study

Dong X. · Chang E.-S.

Author affiliations

Chinese Health, Aging, and Policy Program, Rush Institute for Healthy Aging, Chicago, IL, USA

Corresponding Author

XinQi Dong, MD, MPH, Professor of Geriatric and Internal Medicine

Chinese Health, Aging, and Policy Program

Rush Institute for Healthy Aging, 1645 West Jackson, Suite 675

Chicago, IL 60612 (USA)

E-Mail xinqi_dong@rush.edu

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Gerontology 2017;63:238-252

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Abstract

Background: Social network research has become central to studies of health and aging. Its results may yield public health insights that are actionable and improve the quality of life of older adults. However, little is known about the social networks of older immigrant adults, whose social relationships often develop in the context of migration, compounded by cultural and linguistic barriers. Objectives: This report aims to describe the structure, composition, and emotional components of social networks in the Chinese aging population of the USA, and to explore ways in which their social networks may be critical to their health decision-making. Methods: Our data come from the PINE study, a population-based epidemiological study of community-dwelling older Chinese American adults, aged 60 years and above, in the greater Chicago area. We conducted individual interviews in participants' homes from 2011 until 2013. Based on sociodemographic and socioeconomic characteristics, this study computed descriptive statistics and trend tests for the social network measures adapted from the National Social Life, Health, and Aging Project study. Results: The findings show that older Chinese adults have a relatively small social network in comparison with their counterparts from other ethnic and racial backgrounds. Only 29.6% of the participants could name 5 close network members, and 2.2% could name 0 members. Their network composition was more heavily kin oriented (95.0%). Relationships with network members differed according to the older adults' sociodemographic and socioeconomic characteristics. Subgroup variations included the likelihood of discussing health-related issues with network members. Conclusion: This study highlights the dynamic nature of social networks in later-life Chinese immigrants. For healthcare practitioners, developing cost-effective strategies that can mobilize social network support remains a critical undertaking in health intervention. Longitudinal studies are needed to examine the causal impact of social networks on various domains of health.

© 2017 S. Karger AG, Basel


References

  1. Thompson WE, Streib GF: Meaningful activity in a family context; in Kleemeier R (ed): Aging and Leisure: A Research Perspective on the Meaningful Use of Time. Oxford, Oxford University Press, 1961.
  2. House JS, Umberson D, Landis KR: Structures and processes of social support. Annu Rev Soc 1988;14:293-318.
  3. Litwin H, Shiovitz-Ezra S: Network type and mortality risk in later life. Gerontologist 2006;46:735-743.
  4. Fratiglioni L, Wang HX, Ericsson K, Maytan M, Winblad B: Influence of social network on occurrence of dementia: a community-based longitudinal study. Lancet 2000;355:1315-1319.
  5. Wonodi CB, Privor-Dumm L, Aina M, Pate AM, Reis R, Gadhoke P, Levine OS: Using social network analysis to examine the decision-making process on new vaccine introduction in Nigeria. Health Policy Plan 2012;27(suppl 2):ii27-ii38.
  6. Fiori KL, Antonucci TC, Cortina KS: Social network typologies and mental health among older adults. J Gerontol B Psychol Sci Soc Sci 2006;61:P25-P32.
  7. Peek MK, O'Neill GS: Networks in later life: an examination of race differences in social support networks. Int J Aging Hum Dev 2001;52:207-229.
  8. Webster NJ, Antonucci TC, Ajrouch KJ, Abdulrahim S: Social networks and health among older adults in Lebanon: the mediating role of support and trust. J Gerontol B Psychol Sci Soc Sci 2015;70:155-166.
  9. Li T, Zhang Y: Social network types and the health of older adults: exploring reciprocal associations. Soc Sci Med 2015;130:59-68.
  10. Krause N: Negative interaction and satisfaction with social support among older adults. J Gerontol B Psychol Sci Soc Sci 1995;50:P59-P74.
  11. Almeida J, Molnar BE, Kawachi I, Subramanian SV: Ethnicity and nativity status as determinants of perceived social support: testing the concept of familism. Soc Sci Med 2009;68:1852-1858.
  12. Rote S, Markides K: Aging, social relationships, and health among older immigrants. Generations, Spring 2014. http://www.asaging.org/blog/aging-social-relationships-and-health-among-older-immigrants.
  13. Viruell-Fuentes EA, Schulz AJ: Toward a dynamic conceptualization of social ties and context: implications for understanding immigrant and Latino health. Am J Public Health 2009;99:2167-2175.
  14. Weeks JR, Cuellar JB: Isolation of older persons: the influence of immigration and length of residence. Res Aging 1983;5:369-388.
  15. Dong X: Addressing health and well-being of US Chinese older adults through community-based participatory research: introduction to the PINE Study. J Gerontol A Biol Sci Med Sci 2014;69(suppl 2):S1-S6.
  16. Chen R, Simon MA, Chang ES, Zhen Y, Dong X: The perception of social support among US Chinese older adults: findings from the PINE Study. J Aging Health 2014;26:1137-1154.
  17. Laumann E, Marsden P, Prensky D: The boundary specification problem in network analysis; in Burt RS, Minor MJ (eds): Applied Network Analysis: A Methodological Introduction. London, Sage, 1983, pp 18-34.
  18. Berkman L, Glass T, Brissette I, Seeman TE: From social integration to health: Durkheim in the millennium. Soc Sci Med 2000;51:843-857.
  19. Kahn RL, Antonucci TC: Convoys over the life course: attachment, roles, and social support. Life Span Dev Behav 1980;3:253-286.
  20. Cornwell B, Schumm LP, Laumann EO, Graber J: Social networks in the NSHAP study: rationale, measurement, and preliminary findings. J Gerontol B Psychol Sci Soc Sci 2009;64(suppl 1):i47-i55.
  21. Dong X, Wong E, Simon MA: Study design and implementation of the PINE study. J Aging Health 2014;26:1085-1099.
  22. Simon MA, Chang ES, Rajan KB, Welch MJ, Dong X: Demographic characteristics of US Chinese older adults in the Greater Chicago area: assessing the representativeness of the PINE study. J Aging Health 2014;26:1100-1115.
  23. Dong X, Chang ES, Wong E, Simon MA: A qualitative study of filial piety among community dwelling, Chinese, older adults: changing meaning and impact on health and well-being. J Intergener Relatsh 2012;10:131-146.
  24. Simon MA, Chen R, Chang ES, Dong X: The association between filial piety and suicidal ideation: findings from a community-dwelling Chinese aging population. J Gerontol A Biol Sci Med Sci 2014;69(suppl 2):S90-S97.
  25. Cheng ST, Lee CK, Chan AC, Leung EM, Lee JJ: Social network types and subjective well-being in Chinese older adults. J Gerontol B Psychol Sci Soc Sci 2009;64:713-722.
  26. Park NS, Jang Y, Lee BS, Ko JE, Haley WE, Chiriboga DA: An empirical typology of social networks and its association with physical and mental health: a study with older Korean immigrants. J Gerontol B Psychol Sci Soc Sci 2015;70:67-76.
  27. Ajrouch KJ, Antonucci TC, Janevic MR: Social networks among blacks and whites: the interaction between race and age. J Gerontol B Psychol Sci Soc Sci 2001;56:S112-S118.
  28. Roschelle AR: No More Kin: Exploring Race, Class, and Gender in Family Networks. Thousand Oaks, Sage, 1997.
  29. Cornwell B: Social disadvantage and network turnover. J Gerontol B Psychol Sci Soc Sci 2015;70:132-142.
  30. 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. J Gerontol B Psychol Sci Soc Sci 1999;54:S245-S251.
  31. Kim O: Mediation effect of social support between ethnic attachment and loneliness in older Korean immigrants. Res Nurs Health 1999;22:169-175.
  32. Diwan S: Limited English proficiency, social network characteristics, and depressive symptoms among older immigrants. J Gerontol B Psychol Sci Soc Sci 2008;63:S184-S191.
  33. Dong X, Chang ES, Wong E, Wong B, Simon MA: How do US Chinese older adults view elder mistreatment? Findings from a community-based participatory research study. J Aging Health 2011;23:289-312.
  34. Pang EC, Jordan-Marsh M, Silverstein M, Cody M: Health-seeking behaviors of elderly Chinese Americans: shifts in expectations. Gerontologist 2003;43:864-874.
  35. Cornwell EY, Waite LJ: Measuring social isolation among older adults using multiple indicators from the NSHAP study. J Gerontol B Psychol Sci Soc Sci 2009;64(suppl 1):i38-i46.
  36. Schnittker J: Look (closely) at all the lonely people: age and the social psychology of social support. J Aging Health 2007;19:659-682.
  37. McPherson M, Smith-Lovin L, Brashears ME: Social isolation in America: changes in core discussion networks over two decades. Am Soc Rev 2006;71:353-375.
  38. Simon MA, Chen R, Dong X: Gender differences in perceived social support in US Chinese older adults. J Gerontol Geriatr Res 2014;3:163.
  39. Okamoto K, Tanaka Y: Gender differences in the relationship between social support and subjective health among elderly persons in Japan. Prev Med 2004;38:318-322.
  40. Cornwell B, Schumm LP, Laumann EO, Kim J, Kim YJ: Assessment of social network change in a national longitudinal survey. J Gerontol B Psychol Sci Soc Sci 2014;69(suppl 2):S75-S82.

Article / Publication Details

First-Page Preview
Abstract of Behavioural Science Section / Original Paper

Received: January 25, 2016
Accepted: December 12, 2016
Published online: January 19, 2017
Issue release date: April 2017

Number of Print Pages: 15
Number of Figures: 0
Number of Tables: 6

ISSN: 0304-324X (Print)
eISSN: 1423-0003 (Online)

For additional information: https://www.karger.com/GER


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