TY - JOUR
T1 - The ties that transplant
T2 - The social capital determinants of the living kidney donor relationship distribution
AU - Daw, Jonathan
N1 - Publisher Copyright:
© 2023 Elsevier Inc.
PY - 2023/7
Y1 - 2023/7
N2 - The network perspective on social capital decomposes it into ego's network size, alters' relevant resources, and social factors moderating access to alters' resources, but rarely examines how it is distributed across relationship types. Using this approach, I investigate the situationally-relevant social capital relationship distribution and its association with health-related social support, with an application to the living kidney donor relationship distribution. Analyzing an original survey of transplant candidates (N = 72) and their reports on their family and friends (N = 1548), I compare the tie count, donation-relevant biomedical resource, and tie strength relationship distributions to administrative data on the national distribution of living kidney donor relationships. I find that the tie strength relationship distribution matches the completed living kidney donor relationship distribution far better than the tie count and donation-relevant biomedical resource relationship distributions. These conclusions are upheld in race- and gender-stratified analyses and are robust across alternative approaches.
AB - The network perspective on social capital decomposes it into ego's network size, alters' relevant resources, and social factors moderating access to alters' resources, but rarely examines how it is distributed across relationship types. Using this approach, I investigate the situationally-relevant social capital relationship distribution and its association with health-related social support, with an application to the living kidney donor relationship distribution. Analyzing an original survey of transplant candidates (N = 72) and their reports on their family and friends (N = 1548), I compare the tie count, donation-relevant biomedical resource, and tie strength relationship distributions to administrative data on the national distribution of living kidney donor relationships. I find that the tie strength relationship distribution matches the completed living kidney donor relationship distribution far better than the tie count and donation-relevant biomedical resource relationship distributions. These conclusions are upheld in race- and gender-stratified analyses and are robust across alternative approaches.
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U2 - 10.1016/j.ssresearch.2023.102888
DO - 10.1016/j.ssresearch.2023.102888
M3 - Article
C2 - 37230706
AN - SCOPUS:85153601927
SN - 0049-089X
VL - 113
JO - Social Science Research
JF - Social Science Research
M1 - 102888
ER -