Comparison of illness representations dimensions and illness representation clusters in predicting outcomes in the first year following diagnosis of type 2 diabetes: Results from the DESMOND trial

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Comparison of illness representations dimensions and illness representation clusters in predicting outcomes in the first year following diagnosis of type 2 diabetes : Results from the DESMOND trial. / Skinner, T. C.; Carey, M. E.; Cradock, S.; Dallosso, H. M.; Dalyb, H.; Davies, M. J.; Doherty, Y.; Heller, S.; Khunti, K.; Olivere, L.

In: Psychology and Health, Vol. 26, No. 3, 01.03.2011, p. 321-335.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Skinner, TC, Carey, ME, Cradock, S, Dallosso, HM, Dalyb, H, Davies, MJ, Doherty, Y, Heller, S, Khunti, K & Olivere, L 2011, 'Comparison of illness representations dimensions and illness representation clusters in predicting outcomes in the first year following diagnosis of type 2 diabetes: Results from the DESMOND trial', Psychology and Health, vol. 26, no. 3, pp. 321-335. https://doi.org/10.1080/08870440903411039

APA

Skinner, T. C., Carey, M. E., Cradock, S., Dallosso, H. M., Dalyb, H., Davies, M. J., Doherty, Y., Heller, S., Khunti, K., & Olivere, L. (2011). Comparison of illness representations dimensions and illness representation clusters in predicting outcomes in the first year following diagnosis of type 2 diabetes: Results from the DESMOND trial. Psychology and Health, 26(3), 321-335. https://doi.org/10.1080/08870440903411039

Vancouver

Skinner TC, Carey ME, Cradock S, Dallosso HM, Dalyb H, Davies MJ et al. Comparison of illness representations dimensions and illness representation clusters in predicting outcomes in the first year following diagnosis of type 2 diabetes: Results from the DESMOND trial. Psychology and Health. 2011 Mar 1;26(3):321-335. https://doi.org/10.1080/08870440903411039

Author

Skinner, T. C. ; Carey, M. E. ; Cradock, S. ; Dallosso, H. M. ; Dalyb, H. ; Davies, M. J. ; Doherty, Y. ; Heller, S. ; Khunti, K. ; Olivere, L. / Comparison of illness representations dimensions and illness representation clusters in predicting outcomes in the first year following diagnosis of type 2 diabetes : Results from the DESMOND trial. In: Psychology and Health. 2011 ; Vol. 26, No. 3. pp. 321-335.

Bibtex

@article{0c4c86a868e644b08f50a701edc376d4,
title = "Comparison of illness representations dimensions and illness representation clusters in predicting outcomes in the first year following diagnosis of type 2 diabetes: Results from the DESMOND trial",
abstract = "This article explores the utility of cluster analysis of illness representations, in comparison to analysing each dimension of the individual's illness representation, to predict an individual's response to diagnosis of type 2 diabetes. Participants in a large multi-centre randomised controlled trial of a self-management education intervention for people with type 2 diabetes, completed measures of illness beliefs (coherence, timeline, impact, seriousness, personal responsibility) and depression along with HbA1c and body mass index (BMI), at baseline 4, 8 and 12 months. The results of the cluster analysis were compared with an independent qualitative study of participants' responses to diagnosis and participation in the study. The quantitative analysis of 564 participants for whom complete data were available, identified four clusters of illness representations as the most parsimonious description of the data. The mean profiles of these clusters were comparable with groups identified by the independent qualitative analysis, and predicted the trajectory of illness outcomes over the 1-year follow-up. Combining illness beliefs into discrete clusters may be more useful in understanding patterns of responding to illness than using analysis of illness beliefs dimensions independently.",
keywords = "Cluster analysis, Depression, Illness representations, Type 2 diabetes, Weight loss",
author = "Skinner, {T. C.} and Carey, {M. E.} and S. Cradock and Dallosso, {H. M.} and H. Dalyb and Davies, {M. J.} and Y. Doherty and S. Heller and K. Khunti and L. Olivere",
year = "2011",
month = mar,
day = "1",
doi = "10.1080/08870440903411039",
language = "English",
volume = "26",
pages = "321--335",
journal = "Psychology and Health",
issn = "0887-0446",
publisher = "Routledge",
number = "3",

}

RIS

TY - JOUR

T1 - Comparison of illness representations dimensions and illness representation clusters in predicting outcomes in the first year following diagnosis of type 2 diabetes

T2 - Results from the DESMOND trial

AU - Skinner, T. C.

AU - Carey, M. E.

AU - Cradock, S.

AU - Dallosso, H. M.

AU - Dalyb, H.

AU - Davies, M. J.

AU - Doherty, Y.

AU - Heller, S.

AU - Khunti, K.

AU - Olivere, L.

PY - 2011/3/1

Y1 - 2011/3/1

N2 - This article explores the utility of cluster analysis of illness representations, in comparison to analysing each dimension of the individual's illness representation, to predict an individual's response to diagnosis of type 2 diabetes. Participants in a large multi-centre randomised controlled trial of a self-management education intervention for people with type 2 diabetes, completed measures of illness beliefs (coherence, timeline, impact, seriousness, personal responsibility) and depression along with HbA1c and body mass index (BMI), at baseline 4, 8 and 12 months. The results of the cluster analysis were compared with an independent qualitative study of participants' responses to diagnosis and participation in the study. The quantitative analysis of 564 participants for whom complete data were available, identified four clusters of illness representations as the most parsimonious description of the data. The mean profiles of these clusters were comparable with groups identified by the independent qualitative analysis, and predicted the trajectory of illness outcomes over the 1-year follow-up. Combining illness beliefs into discrete clusters may be more useful in understanding patterns of responding to illness than using analysis of illness beliefs dimensions independently.

AB - This article explores the utility of cluster analysis of illness representations, in comparison to analysing each dimension of the individual's illness representation, to predict an individual's response to diagnosis of type 2 diabetes. Participants in a large multi-centre randomised controlled trial of a self-management education intervention for people with type 2 diabetes, completed measures of illness beliefs (coherence, timeline, impact, seriousness, personal responsibility) and depression along with HbA1c and body mass index (BMI), at baseline 4, 8 and 12 months. The results of the cluster analysis were compared with an independent qualitative study of participants' responses to diagnosis and participation in the study. The quantitative analysis of 564 participants for whom complete data were available, identified four clusters of illness representations as the most parsimonious description of the data. The mean profiles of these clusters were comparable with groups identified by the independent qualitative analysis, and predicted the trajectory of illness outcomes over the 1-year follow-up. Combining illness beliefs into discrete clusters may be more useful in understanding patterns of responding to illness than using analysis of illness beliefs dimensions independently.

KW - Cluster analysis

KW - Depression

KW - Illness representations

KW - Type 2 diabetes

KW - Weight loss

UR - http://www.scopus.com/inward/record.url?scp=79951830989&partnerID=8YFLogxK

U2 - 10.1080/08870440903411039

DO - 10.1080/08870440903411039

M3 - Journal article

C2 - 20309775

AN - SCOPUS:79951830989

VL - 26

SP - 321

EP - 335

JO - Psychology and Health

JF - Psychology and Health

SN - 0887-0446

IS - 3

ER -

ID: 189874276