The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Social network changes and life events across the life span: A meta-analysis.
Abstract
For researchers and practitioners interested in social relationships, the question remains as to how large social networks typically are, and how their size and composition change across adulthood. On the basis of predictions of socioemotional selectivity theory and social convoy theory, we conducted a meta-analysis on age-related social network changes and the effects of life events on social networks using 277 studies with 177,635 participants from adolescence to old age. Cross-sectional as well as longitudinal studies consistently showed that (a) the global social network increased up until young adulthood and then decreased steadily, (b) both the personal network and the friendship network decreased throughout adulthood, (c) the family network was stable in size from adolescence to old age, and (d) other networks with coworkers or neighbors were important only in specific age ranges. Studies focusing on life events that occur at specific ages, such as transition to parenthood, job entry, or widowhood, demonstrated network changes similar to such age-related network changes. Moderator analyses detected that the type of network assessment affected the reported size of global, personal, and family networks. Period effects on network sizes occurred for personal and friendship networks, which have decreased in size over the last 35 years. Together the findings are consistent with the view that a portion of normative, age-related social network changes are due to normative, age-related life events. We discuss how these patterns of normative social network development inform research in social, evolutionary, cultural, and personality psychology.
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Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
The need to belong: Desire for interpersonal attachments as a fundamental human motivation.
Baumeister, R. F., & Leary, M. R. (1995) · Psychological Bulletin · doi:10.1037//0033-2909.117.3.497 · Cited by 23,245
A theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926
The genetical evolution of social behaviour. I
Hamilton, W. D. (1964) · Journal of Theoretical Biology · doi:10.1016/0022-5193(64)90038-4 · Cited by 15,725
Rethinking individualism and collectivism: Evaluation of theoretical assumptions and meta-analyses.
Oyserman, D., Coon, H. M., & Kemmelmeier, M. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.1.3 · Cited by 5,758
Distribution Theory for Glass's Estimator of Effect Size and Related Estimators
Hedges, L. V. (1981) · Journal of Educational Statistics · doi:10.2307/1164588 · Cited by 5,695
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
Taking time seriously: A theory of socioemotional selectivity.
Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999) · American Psychologist · doi:10.1037//0003-066x.54.3.165 · Cited by 5,377
Assessing heterogeneity in meta-analysis: Q statistic or I² index?
Huedo-Medina, T. B., Sánchez-Meca, J., Marín-Martínez, F., & Botella, J. (2006) · Psychological Methods · doi:10.1037/1082-989x.11.2.193 · Cited by 4,256
Morris, S. B., & DeShon, R. P. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.105 · Cited by 2,502
Publication and related bias in meta-analysis
Sterne, J. A. C., Gavaghan, D., & Egger, M. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00242-0 · Cited by 2,282
Investigating and dealing with publication and other biases in meta-analysis
Sterne, J. A. C., Egger, M., & Smith, G. D. (2001) · BMJ · doi:10.1136/bmj.323.7304.101 · Cited by 2,225
Evidence for a life-span theory of socioemotional selectivity
Carstensen, L. L. (1995) · Current Directions in Psychological Science · doi:10.1111/1467-8721.ep11512261 · Cited by 1,458
A meta-analysis of the impact of short-term sleep deprivation on cognitive variables
Lim, J., & Dinges, D. F. (2010) · Psychological Bulletin · doi:10.1037/a0018883 · Cited by 1,389
Reexamining adaptation and the set point model of happiness: Reactions to changes in marital status.
Lucas, R. E., Clark, A. E., Georgellis, Y., & Diener, E. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.3.527 · Cited by 1,357
A Review of Facebook Research in the Social Sciences
Wilson, R. E., Gosling, S. D., & Graham, L. T. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612442904 · Cited by 1,226
Tastes, ties, and time: a new social network dataset using Facebook.com
Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A., & Christakis, N. (2008) · Social Networks · doi:10.1016/j.socnet.2008.07.002 · Cited by 1,024
Social Networks in Adult Life and a Preliminary Examination of the Convoy Model
Antonucci, T. C., & Akiyama, H. (1987) · Journal of Gerontology · doi:10.1093/geronj/42.5.519 · Cited by 841
Recognition and retrieval processes in free recall.
Anderson, J. R., & Bower, G. H. (1972) · Psychological Review · doi:10.1037/h0033773 · Cited by 820
Self-Esteem Development Across the Lifespan
Robins, R. W., & Trzesniewski, K. H. (2005) · Current Directions in Psychological Science · doi:10.1111/j.0963-7214.2005.00353.x · Cited by 748
Social networks and cooperation in hunter-gatherers.
Apicella, C. L., Marlowe, F. W., Fowler, J. H., & Christakis, N. A. (2012) · Nature · doi:10.1038/nature10736 · Cited by 698
Personality-relationship transaction in young adulthood.
Neyer, F. J., & Asendorpf, J. B. (2001) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.81.6.1190 · Cited by 518
Self-citationAcquisition of the algorithms of social life: a domain-based approach
Bugental, D. B. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.2.187 · Cited by 456
Changes in Older Adult Loneliness: Results From a Seven-Year Longitudinal Study
Dykstra, P. A., van Tilburg, T. G., & Gierveld, J. D. J. (2005) · Research on Aging · doi:10.1177/0164027505279712 · Cited by 446
Kalish, Y., & Robins, G. (2006) · Social Networks · doi:10.1016/j.socnet.2005.04.004 · Cited by 412
Pollet, T. V., Roberts, S. G. B., & Dunbar, R. I. M. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0161 · Cited by 237
Aartsen, M. J., van Tilburg, T., Smits, C. H. M., & Knipscheer, K. C. P. M. (2004) · Journal of Social and Personal Relationships · doi:10.1177/0265407504041386 · Cited by 128
Women's social networks and child survival in Mali
Adams, A. M., Madhavan, S., & Simon, D. (2002) · Social Science & Medicine · doi:10.1016/s0277-9536(01)00017-x · Cited by 110
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Wise, T., Zbozinek, T. D., Michelini, G., Hagan, C. C., & Mobbs, D. (2020) · Royal Society Open Science · doi:10.1098/rsos.200742 · Cited by 734
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Holt-Lunstad, J. (2017) · Public Policy & Aging Report · doi:10.1093/ppar/prx030 · Cited by 569
Metadata
- Authors
- Wrzus, C., Hänel, M., Wagner, J., & Neyer, F. J.
- Venue
- Psychological Bulletin
- Published
- 2013
- Volume
- 139
- Issue
- 1
- Pages
- 53-80
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W1974065980
- Cited by
- 1,381
- References
- 28
- FWCI
- 46.53
- Type
- journal article
- Language
- en
- Open access
- closed
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