Predictors of the change in the expression of emotional support within an online breast cancer support group: A longitudinal study

Woohyun Yoo; Ming Yuan Chih; Min Woo Kwon; Jung Hwan Yang; Eunji Cho; Bryan McLaughlin; Kang Namkoong; Dhavan V. Shah; David H. Gustafson

doi:10.1016/j.pec.2012.10.001

Predictors of the change in the expression of emotional support within an online breast cancer support group: A longitudinal study

Woohyun Yoo
, Ming Yuan Chih
, Min Woo Kwon
, Jung Hwan Yang
, Eunji Cho
, Bryan McLaughlin
, Kang Namkoong
, Dhavan V. Shah
, David H. Gustafson

Health and Clinical Sciences

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Objectives: To explore how the expression of emotional support in an online breast cancer support group changes over time, and what factors predict this pattern of change. Methods: We conducted growth curve modeling with data collected from 192 participants in an online breast cancer support group within the Comprehensive Health Enhancement Support System (CHESS) during a 24-week intervention period. Results: Individual expression of emotional support tends to increase over time for the first 12 weeks of the intervention, but then decrease slightly with time after that. In addition, we found that age, living situation, comfort level with computer and the Internet, coping strategies were important factors in predicting the changing pattern of expressing emotional support. Conclusions: Expressing emotional support changed in a quadratic trajectory, with a range of factors predicting the changing pattern of expression. Practical implications: These results can provide important information for e-health researchers and physicians in determining the benefits individuals can gain from participation in should CMSS groups as the purpose of cancer treatment.

Original language	English
Pages (from-to)	88-95
Number of pages	8
Journal	Patient Education and Counseling
Volume	90
Issue number	1
DOIs	https://doi.org/10.1016/j.pec.2012.10.001
State	Published - Jan 2013

Bibliographical note

Funding Information:
This research was supported by P50 CA095817-05 from the National Cancer Institute. Study sponsors had no involvement in this research.

Funding

This research was supported by P50 CA095817-05 from the National Cancer Institute. Study sponsors had no involvement in this research.

Funders	Funder number
National Childhood Cancer Registry – National Cancer Institute	P50CA095817

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Breast cancer
Comprehensive Health Enhancement Support System (CHESS)
Computer-mediated social support (CMSS) group
Expression effects
Latent Growth Curve (LGC) modeling

ASJC Scopus subject areas

General Medicine

Access to Document

10.1016/j.pec.2012.10.001

Cite this

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title = "Predictors of the change in the expression of emotional support within an online breast cancer support group: A longitudinal study",

abstract = "Objectives: To explore how the expression of emotional support in an online breast cancer support group changes over time, and what factors predict this pattern of change. Methods: We conducted growth curve modeling with data collected from 192 participants in an online breast cancer support group within the Comprehensive Health Enhancement Support System (CHESS) during a 24-week intervention period. Results: Individual expression of emotional support tends to increase over time for the first 12 weeks of the intervention, but then decrease slightly with time after that. In addition, we found that age, living situation, comfort level with computer and the Internet, coping strategies were important factors in predicting the changing pattern of expressing emotional support. Conclusions: Expressing emotional support changed in a quadratic trajectory, with a range of factors predicting the changing pattern of expression. Practical implications: These results can provide important information for e-health researchers and physicians in determining the benefits individuals can gain from participation in should CMSS groups as the purpose of cancer treatment.",

keywords = "Breast cancer, Comprehensive Health Enhancement Support System (CHESS), Computer-mediated social support (CMSS) group, Expression effects, Latent Growth Curve (LGC) modeling",

author = "Woohyun Yoo and Chih, \{Ming Yuan\} and Kwon, \{Min Woo\} and Yang, \{Jung Hwan\} and Eunji Cho and Bryan McLaughlin and Kang Namkoong and Shah, \{Dhavan V.\} and Gustafson, \{David H.\}",

note = "Funding Information: This research was supported by P50 CA095817-05 from the National Cancer Institute. Study sponsors had no involvement in this research. ",

year = "2013",

month = jan,

doi = "10.1016/j.pec.2012.10.001",

language = "English",

volume = "90",

pages = "88--95",

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T1 - Predictors of the change in the expression of emotional support within an online breast cancer support group

T2 - A longitudinal study

AU - Yoo, Woohyun

AU - Chih, Ming Yuan

AU - Kwon, Min Woo

AU - Yang, Jung Hwan

AU - Cho, Eunji

AU - McLaughlin, Bryan

AU - Namkoong, Kang

AU - Shah, Dhavan V.

AU - Gustafson, David H.

N1 - Funding Information: This research was supported by P50 CA095817-05 from the National Cancer Institute. Study sponsors had no involvement in this research.

PY - 2013/1

Y1 - 2013/1

N2 - Objectives: To explore how the expression of emotional support in an online breast cancer support group changes over time, and what factors predict this pattern of change. Methods: We conducted growth curve modeling with data collected from 192 participants in an online breast cancer support group within the Comprehensive Health Enhancement Support System (CHESS) during a 24-week intervention period. Results: Individual expression of emotional support tends to increase over time for the first 12 weeks of the intervention, but then decrease slightly with time after that. In addition, we found that age, living situation, comfort level with computer and the Internet, coping strategies were important factors in predicting the changing pattern of expressing emotional support. Conclusions: Expressing emotional support changed in a quadratic trajectory, with a range of factors predicting the changing pattern of expression. Practical implications: These results can provide important information for e-health researchers and physicians in determining the benefits individuals can gain from participation in should CMSS groups as the purpose of cancer treatment.

AB - Objectives: To explore how the expression of emotional support in an online breast cancer support group changes over time, and what factors predict this pattern of change. Methods: We conducted growth curve modeling with data collected from 192 participants in an online breast cancer support group within the Comprehensive Health Enhancement Support System (CHESS) during a 24-week intervention period. Results: Individual expression of emotional support tends to increase over time for the first 12 weeks of the intervention, but then decrease slightly with time after that. In addition, we found that age, living situation, comfort level with computer and the Internet, coping strategies were important factors in predicting the changing pattern of expressing emotional support. Conclusions: Expressing emotional support changed in a quadratic trajectory, with a range of factors predicting the changing pattern of expression. Practical implications: These results can provide important information for e-health researchers and physicians in determining the benefits individuals can gain from participation in should CMSS groups as the purpose of cancer treatment.

KW - Breast cancer

KW - Comprehensive Health Enhancement Support System (CHESS)

KW - Computer-mediated social support (CMSS) group

KW - Expression effects

KW - Latent Growth Curve (LGC) modeling

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Predictors of the change in the expression of emotional support within an online breast cancer support group: A longitudinal study

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this