Fatigue trajectories during the first 8 months after breast cancer diagnosis
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Fatigue trajectories during the first 8 months after breast cancer diagnosis. / Bødtcher, Hanne; Bidstrup, Pernille Envold; Andersen, Ingelise; Christensen, Jane; Mertz, Birgitte Goldschmidt; Johansen, Christoffer; Oksbjerg Dalton, Susanne.
In: Quality of Life Research, Vol. 24, No. 11, 11.2015, p. 2671-2679.Research output: Contribution to journal › Journal article › peer-review
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TY - JOUR
T1 - Fatigue trajectories during the first 8 months after breast cancer diagnosis
AU - Bødtcher, Hanne
AU - Bidstrup, Pernille Envold
AU - Andersen, Ingelise
AU - Christensen, Jane
AU - Mertz, Birgitte Goldschmidt
AU - Johansen, Christoffer
AU - Oksbjerg Dalton, Susanne
PY - 2015/11
Y1 - 2015/11
N2 - PurposeThe objective of this study was to identify distinct groups of fatigue trajectories among women with breast cancer and to evaluate whether age, anxiety symptoms, physical activity, and type of treatment were associated with belonging to the most adverse fatigue group.MethodsWomen scheduled for breast cancer surgery at Copenhagen University Hospital, Denmark, were consecutively invited to participate in the study (n = 424), resulting in 290 women included in the analyses. Semiparametric group-based mixture modeling was used to identify distinct trajectories of fatigue assessed the week before surgery and 4 and 8 months later. Logistic regression analysis was used to evaluate differences in the distinct fatigue groups.ResultsTwo distinct groups of fatigue trajectories were identified. One group (21 %) had a high mean level, while the second group (79 %) had a low mean level of fatigue throughout the study. In multivariate analyses, sedentary physical activity (OR 5.78; 95 % CI 1.41–23.75), low physical activity (OR 3.17; 95 % CI 1.15–8.74), and increasing anxiety symptoms (OR 1.23; 95 % CI 1.14–1.33) before surgery were significantly associated with being in the high-fatigue group.ConclusionsThe results show that one-fifth of women with breast cancer experience continuously high fatigue up to 8 months after surgery and may have been more anxious and physically inactive. This knowledge is important in targeting interventions to women with fatigue throughout their treatment and who do not return to a low fatigue level with existing treatment, self-management, or support.
AB - PurposeThe objective of this study was to identify distinct groups of fatigue trajectories among women with breast cancer and to evaluate whether age, anxiety symptoms, physical activity, and type of treatment were associated with belonging to the most adverse fatigue group.MethodsWomen scheduled for breast cancer surgery at Copenhagen University Hospital, Denmark, were consecutively invited to participate in the study (n = 424), resulting in 290 women included in the analyses. Semiparametric group-based mixture modeling was used to identify distinct trajectories of fatigue assessed the week before surgery and 4 and 8 months later. Logistic regression analysis was used to evaluate differences in the distinct fatigue groups.ResultsTwo distinct groups of fatigue trajectories were identified. One group (21 %) had a high mean level, while the second group (79 %) had a low mean level of fatigue throughout the study. In multivariate analyses, sedentary physical activity (OR 5.78; 95 % CI 1.41–23.75), low physical activity (OR 3.17; 95 % CI 1.15–8.74), and increasing anxiety symptoms (OR 1.23; 95 % CI 1.14–1.33) before surgery were significantly associated with being in the high-fatigue group.ConclusionsThe results show that one-fifth of women with breast cancer experience continuously high fatigue up to 8 months after surgery and may have been more anxious and physically inactive. This knowledge is important in targeting interventions to women with fatigue throughout their treatment and who do not return to a low fatigue level with existing treatment, self-management, or support.
U2 - 10.1007/s11136-015-1000-0
DO - 10.1007/s11136-015-1000-0
M3 - Journal article
C2 - 25972303
VL - 24
SP - 2671
EP - 2679
JO - Quality of Life Research
JF - Quality of Life Research
SN - 0962-9343
IS - 11
ER -
ID: 139965500