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Cited by 928

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Controllability of Stressful Events and Satisfaction With Spouse Support Behaviors

CUTRONA, CAROLYN E., SUHR, JULIE A.·1992·Communication Research

Abstract

Among married couples, the effect of the controllability of stressful events was tested as a predictor of the type of social support communications provided and preferred. Sixty married individuals disclosed stressful events to their spouse. Controllability of the stress was rated by observers. The Social Support Behavior Code was used to assess the frequency with which each of five types of social support was provided by the spouse. Action-promoting support (information) was provided most frequently when the stressed person had high control over the event. Of the five types of support communications assessed, only information was evaluated differently in high- and low-controllable situations. Both controllability by the support recipient and controllability by his or her spouse were relevant to support evaluations. Results provide limited support for the optimal matching model proposed by Cutrona and Russell (Cutrona, 1990; Cutrona & Russell, 1990).

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Metadata

Authors
CUTRONA, C. E., & SUHR, J. A.
Venue
Communication Research
Published
1992-04
Volume
19
Issue
2
Pages
154-174
ISSN
  • 0093-6502 (ISSN-L)
  • 1552-3810
OpenAlex
W2119797455
Cited by
928
References
37
FWCI
2.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Controllability of Stressful Events and Satisfaction With Spouse Support Behaviors. https://app.cochat.ai/papers/10.1177/009365092019002002
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CUTRONA, C. E., & SUHR, J. A. (1992). Controllability of Stressful Events and Satisfaction With Spouse Support Behaviors. Communication Research. https://doi.org/10.1177/009365092019002002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.