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The quality and quantity of social support: Stroke recovery as psycho-social transition

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  • Glass, Thomas A.
  • Maddox, George L.

Abstract

The impact of various types and amounts of social support is examined in the context of recovery from first stroke. We conceptualize the rehabilitation process as a psychosocial transition. In a longitudinal design, 44 patients were followed for 6 months following first stroke. Growth-curve analysis (repeated measures MANOVA) was utilized to examine the impact of three types of social support on changes in functional status during recovery. While all three types of support (emotional, instrumental and informational) were shown to be significantly related to recovery of functional capacity, substantial differences were found in the nature of those effects. The impact of social support does not appear during the first month of rehabilitation, indicating the importance of longitudinal designs and longer observation. Patients reporting high level of emotional support showed dramatic improvement despite having the lowest baseline functional status. Instrumental support is most closely related to positive outcomes when provided in moderate amounts. Unlike the other two types, the effect of informational support is mediated by disease severity.

Suggested Citation

  • Glass, Thomas A. & Maddox, George L., 1992. "The quality and quantity of social support: Stroke recovery as psycho-social transition," Social Science & Medicine, Elsevier, vol. 34(11), pages 1249-1261, June.
    • Handle: RePEc:eee:socmed:v:34:y:1992:i:11:p:1249-1261
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    Citations

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    Cited by:

    1. Glenn Ostir & Kenneth Ottenbacher & Linda Fried & Jack Guralnik, 2007. "The Effect of Depressive Symptoms on the Association between Functional Status and Social Participation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 80(2), pages 379-392, January.
    2. Martin Reimann & Sandra Nuñez & Raquel Castaño, 2017. "Brand-Aid," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(3), pages 673-691.
    3. Choi, Hye Jung & LeBlanc, Marissa & Moger, Tron Anders & Valberg, Morten & Aamodt, Geir & Page, Christian M. & Tell, Grethe S. & Næss, Øyvind, 2022. "Stroke survival and the impact of geographic proximity to family members: A population-based cohort study," Social Science & Medicine, Elsevier, vol. 309(C).
    4. Mary T. O'Brien, 1993. "Multiple Sclerosis," Clinical Nursing Research, , vol. 2(1), pages 67-85, February.
    5. Nakagawa, Takeshi & Noguchi, Taiji & Komatsu, Ayane & Saito, Tami, 2022. "The role of social resources and trajectories of functional health following stroke," Social Science & Medicine, Elsevier, vol. 311(C).
    6. Montuori, M. & Labini, F.Sylos & Amici, A., 1997. "Statistical properties of galaxy cluster distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(1), pages 1-17.

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