18 results on '"Aitken, J.F."'
Search Results
2. Risk factors for melanoma by anatomical site: an evaluation of aetiological heterogeneity*.
- Author
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Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Armstrong B.K., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Barrett J.H., Bishop D.T., Harrison J., Iles M.M., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., King P., Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Armstrong B.K., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Barrett J.H., Bishop D.T., Harrison J., Iles M.M., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., and King P.
- Abstract
Background: Melanoma aetiology has been proposed to have two pathways, which are determined by naevi and type of sun exposure and related to the anatomical site where melanoma develops. Objective(s): We examined associations with melanoma by anatomical site for a comprehensive set of risk factors including pigmentary and naevus phenotypes, ultraviolet radiation exposure and polygenic risk. Method(s): We analysed harmonized data from 2617 people with incident first invasive melanoma and 975 healthy controls recruited through two population-based case-control studies in Australia and the UK. Questionnaire data were collected by interview using a single protocol, and pathway-specific polygenic risk scores were derived from DNA samples. We estimated adjusted odds ratios using unconditional logistic regression that compared melanoma cases at each anatomical site with all controls. Result(s): When cases were compared with control participants, there were stronger associations for many naevi vs. no naevi for melanomas on the trunk, and upper and lower limbs than on the head and neck (P-heterogeneity < 0.001). Very fair skin (vs. olive/brown skin) was more weakly related to melanoma on the trunk than to melanomas at other sites (P-heterogeneity = 0.04). There was no significant difference by anatomical site for polygenic risk. Increased weekday sun exposure was positively associated with melanoma on the head and neck but not on other sites. Conclusion(s): We found evidence of aetiological heterogeneity for melanoma, supporting the dual pathway hypothesis. These findings enhance understanding of risk factors for melanoma and can guide prevention and skin examination education and practices.Copyright © 2020 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.
- Published
- 2021
3. Risk factors for melanoma by anatomical site: an evaluation of aetiological heterogeneity.
- Author
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Armstrong B.K., Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., King P., Barrett J.H., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Bishop D.T., Harrison J., Iles M.M., Armstrong B.K., Laskar R., Ferreiro-Iglesias A., Kanetsky P.A., Law M.H., Goldstein A.M., Robbins H.A., Mann G.J., Cust A.E., Schmid H., Hopper J.L., Aitken J.F., Randerson-Moor J., Harland M., Taylor J.C., Whittaker L., Kukalizch K., Leake S., Karpavicius B., Haynes S., Mack T., Chan M., Taylor Y., Davies J., King P., Barrett J.H., Giles G.G., Holland E., Kefford R.F., Jenkins M.A., Newton Bishop J.A., Affleck P., Bishop D.T., Harrison J., and Iles M.M.
- Abstract
Background: Melanoma aetiology has been proposed to have two pathways, which are determined by naevi and type of sun exposure and related to the anatomical site where melanoma develops. Objective(s): We examined associations with melanoma by anatomical site for a comprehensive set of risk factors including pigmentary and naevus phenotypes, ultraviolet radiation exposure and polygenic risk. Method(s): We analysed harmonized data from 2617 people with incident first invasive melanoma and 975 healthy controls recruited through two population-based case-control studies in Australia and the UK. Questionnaire data were collected by interview using a single protocol, and pathway-specific polygenic risk scores were derived from DNA samples. We estimated adjusted odds ratios using unconditional logistic regression that compared melanoma cases at each anatomical site with all controls. Result(s): When cases were compared with control participants, there were stronger associations for many naevi vs. no naevi for melanomas on the trunk, and upper and lower limbs than on the head and neck (P-heterogeneity < 0.001). Very fair skin (vs. olive/brown skin) was more weakly related to melanoma on the trunk than to melanomas at other sites (P-heterogeneity = 0.04). There was no significant difference by anatomical site for polygenic risk. Increased weekday sun exposure was positively associated with melanoma on the head and neck but not on other sites. Conclusion(s): We found evidence of aetiological heterogeneity for melanoma, supporting the dual pathway hypothesis. These findings enhance understanding of risk factors for melanoma and can guide prevention and skin examination education and practices.Copyright © 2020 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.
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- 2021
4. An independent external validation of melanoma risk prediction models using the Australian Melanoma Family Study
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Vuong, K., primary, Armstrong, B.K., additional, Espinoza, D., additional, Hopper, J.L., additional, Aitken, J.F., additional, Giles, G.G., additional, Schmid, H., additional, Mann, G.J., additional, Cust, A.E., additional, and McGeechan, K., additional
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- 2021
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5. 开发一种新方法来计算个体的黑色素瘤风险
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Vuong, K., primary, Armstrong, B.K., additional, Drummond, M., additional, Hopper, J.L., additional, Barrett, J.H., additional, Davies, J.R., additional, Bishop, D.T., additional, Newton‐Bishop, J., additional, Aitken, J.F., additional, Giles, G.G., additional, Schmid, H., additional, Jenkins, M.A., additional, Mann, G.J., additional, McGeechan, K., additional, and Cust, A.E., additional
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- 2020
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6. Development of a new method to calculate individuals’ melanoma risk
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Vuong, K., primary, Armstrong, B.K., additional, Drummond, M., additional, Hopper, J.L., additional, Barrett, J.H., additional, Davies, J.R., additional, Bishop, D.T., additional, Newton‐Bishop, J., additional, Aitken, J.F., additional, Giles, G.G., additional, Schmid, H., additional, Jenkins, M.A., additional, Mann, G.J., additional, McGeechan, K., additional, and Cust, A.E., additional
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- 2020
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7. Self‐reported naevus density may lead to misclassification of melanoma risk
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Betz‐Stablein, B., primary, Koh, U., additional, Plasmeijer, E.I., additional, Janda, M., additional, Aitken, J.F., additional, Soyer, H.P., additional, and Green, A.C., additional
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- 2020
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8. Development and external validation study of a melanoma risk prediction model incorporating clinically assessed naevi and solar lentigines
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Vuong, K., primary, Armstrong, B.K., additional, Drummond, M., additional, Hopper, J.L., additional, Barrett, J.H., additional, Davies, J.R., additional, Bishop, D.T., additional, Newton‐Bishop, J., additional, Aitken, J.F., additional, Giles, G.G., additional, Schmid, H., additional, Jenkins, M.A., additional, Mann, G.J., additional, McGeechan, K., additional, and Cust, A.E., additional
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- 2019
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9. Associations of pigmentary and naevus phenotype with melanoma risk in two populations with comparable ancestry but contrasting levels of ambient sun exposure
- Author
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Cust, A.E., primary, Drummond, M., additional, Bishop, D.T., additional, Azizi, L., additional, Schmid, H., additional, Jenkins, M.A., additional, Hopper, J.L., additional, Armstrong, B.K., additional, Aitken, J.F., additional, Kefford, R.F., additional, Giles, G.G., additional, Demenais, F., additional, Goldstein, A.M., additional, Barrett, J.H., additional, Kanetsky, P.A., additional, Elder, D.E., additional, Mann, G.J., additional, and Newton‐Bishop, J.A., additional
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- 2019
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10. Risk factors for melanoma by anatomical site: an evaluation of aetiological heterogeneity.
- Author
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Laskar, R., Ferreiro‐Iglesias, A., Bishop, D.T., Iles, M.M., Kanetsky, P.A., Armstrong, B.K., Law, M.H., Goldstein, A.M., Aitken, J.F., Giles, G.G., Robbins, H.A., and Cust, A.E.
- Subjects
MELANOMA ,ULTRAVIOLET radiation ,HETEROGENEITY ,SKIN examination ,NECK ,RADIATION exposure ,LOGISTIC regression analysis - Abstract
Summary: Background: Melanoma aetiology has been proposed to have two pathways, which are determined by naevi and type of sun exposure and related to the anatomical site where melanoma develops. Objectives: We examined associations with melanoma by anatomical site for a comprehensive set of risk factors including pigmentary and naevus phenotypes, ultraviolet radiation exposure and polygenic risk. Methods: We analysed harmonized data from 2617 people with incident first invasive melanoma and 975 healthy controls recruited through two population‐based case–control studies in Australia and the UK. Questionnaire data were collected by interview using a single protocol, and pathway‐specific polygenic risk scores were derived from DNA samples. We estimated adjusted odds ratios using unconditional logistic regression that compared melanoma cases at each anatomical site with all controls. Results: When cases were compared with control participants, there were stronger associations for many naevi vs. no naevi for melanomas on the trunk, and upper and lower limbs than on the head and neck (P‐heterogeneity < 0·001). Very fair skin (vs. olive/brown skin) was more weakly related to melanoma on the trunk than to melanomas at other sites (P‐heterogeneity = 0·04). There was no significant difference by anatomical site for polygenic risk. Increased weekday sun exposure was positively associated with melanoma on the head and neck but not on other sites. Conclusions: We found evidence of aetiological heterogeneity for melanoma, supporting the dual pathway hypothesis. These findings enhance understanding of risk factors for melanoma and can guide prevention and skin examination education and practices. What is already known about this topic?Two main biological pathways have been proposed for the aetiology of melanoma – determined by naevi and type of sun exposure and related to the anatomical site at which melanoma develops.Risk factors for melanoma may differ by anatomical site, but analyses are often limited by study sample size and most have focused on sun exposure. What does this study add?This study provides an examination of a comprehensive set of risk factors for melanoma by anatomical site, using a harmonized dataset from two population‐based studies with 3592 participants.The presence of increased numbers of naevi was more strongly associated with melanomas on the trunk and limbs than on the head and neck.Very fair skin was more weakly related to melanoma on the trunk than on other sites.The association of pathway‐specific polygenic risk scores with melanoma did not differ by anatomical site. Linked Comment: Ghiasvand. Br J Dermatol 2021; 184:995–996. [ABSTRACT FROM AUTHOR]
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- 2021
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11. Development and external validation study of a melanoma risk prediction model incorporating clinically assessed naevi and solar lentigines.
- Author
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Vuong, K., Armstrong, B.K., Drummond, M., Hopper, J.L., Barrett, J.H., Davies, J.R., Bishop, D.T., Newton‐Bishop, J., Aitken, J.F., Giles, G.G., Schmid, H., Jenkins, M.A., Mann, G.J., McGeechan, K., and Cust, A.E.
- Subjects
PREDICTION models ,MELANOMA ,LENTIGO ,LOGISTIC regression analysis ,DYSPLASTIC nevus syndrome ,CONFIDENCE intervals ,FAMILY history (Medicine) - Abstract
Summary: Background: Melanoma risk prediction models could be useful for matching preventive interventions to patients' risk. Objectives: To develop and validate a model for incident first‐primary cutaneous melanoma using clinically assessed risk factors. Methods: We used unconditional logistic regression with backward selection from the Australian Melanoma Family Study (461 cases and 329 controls) in which age, sex and city of recruitment were kept in each step, and we externally validated it using the Leeds Melanoma Case–Control Study (960 cases and 513 controls). Candidate predictors included clinically assessed whole‐body naevi and solar lentigines, and self‐assessed pigmentation phenotype, sun exposure, family history and history of keratinocyte cancer. We evaluated the predictive strength and discrimination of the model risk factors using odds per age‐ and sex‐adjusted SD (OPERA) and the area under curve (AUC), and calibration using the Hosmer–Lemeshow test. Results: The final model included the number of naevi ≥ 2 mm in diameter on the whole body, solar lentigines on the upper back (a six‐level scale), hair colour at age 18 years and personal history of keratinocyte cancer. Naevi was the strongest risk factor; the OPERA was 3·51 [95% confidence interval (CI) 2·71–4·54] in the Australian study and 2·56 (95% CI 2·23–2·95) in the Leeds study. The AUC was 0·79 (95% CI 0·76–0·83) in the Australian study and 0·73 (95% CI 0·70–0·75) in the Leeds study. The Hosmer–Lemeshow test P‐value was 0·30 in the Australian study and < 0·001 in the Leeds study. Conclusions: This model had good discrimination and could be used by clinicians to stratify patients by melanoma risk for the targeting of preventive interventions. What's already known about this topic? Melanoma risk prediction models may be useful in prevention by tailoring interventions to personalized risk levels.For reasons of feasibility, time and cost many melanoma prediction models use self‐assessed risk factors. However, individuals tend to underestimate their naevus numbers. What does this study add? We present a melanoma risk prediction model, which includes clinically‐assessed whole‐body naevi and solar lentigines, and self‐assessed risk factors including pigmentation phenotype and history of keratinocyte cancer.This model performs well on discrimination, the model's ability to distinguish between individuals with and without melanoma, and may assist clinicians to stratify patients by melanoma risk for targeted preventive interventions. Linked Comment: Toland. Br J Dermatol 2020; 182:1089–1090. Respond to this article Plain language summary available online [ABSTRACT FROM AUTHOR]
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- 2020
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12. Improving Population-Wide Collection of Stage at Diagnosis for Childhood Cancer: International Collaboration and Progress
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Aitken, J.F., primary, Youlden, D.R., additional, O'Neill, L.J., additional, Ballantine, K.R., additional, Cross, S., additional, Nam, D., additional, Thursfield, V.J., additional, Baade, P.D., additional, Moore, A.S., additional, Valery, P.C., additional, Green, A.C., additional, Gupta, S., additional, and Frazier, A.L., additional
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- 2018
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13. Why a randomized melanoma screening trial may be a good idea
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Cust, A.E., primary, Aitken, J.F., additional, Baade, P.D., additional, Whiteman, D.C., additional, Soyer, H.P., additional, and Janda, M., additional
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- 2018
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14. Effects and moderators of psychosocial interventions on quality of life, and emotional and social function in patients with cancer: An individual patient data meta-analysis of 22 RCTs
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Kalter, J., primary, Verdonck-de Leeuw, I.M., additional, Sweegers, M.G., additional, Aaronson, N.K., additional, Jacobsen, P.B., additional, Newton, R.U., additional, Courneya, K.S., additional, Aitken, J.F., additional, Armes, J., additional, Arving, C., additional, Boersma, L.J., additional, Braamse, A.M.J., additional, Brandberg, Y., additional, Chambers, S.K., additional, Dekker, J., additional, Ell, K., additional, Ferguson, R.J., additional, Gielissen, M.F.M., additional, Glimelius, B., additional, Goedendorp, M.M., additional, Graves, K.D., additional, Heiney, S.P., additional, Horne, R., additional, Hunter, M.S., additional, Johansson, B., additional, Kimman, M.L., additional, Knoop, H., additional, Meneses, K., additional, Northouse, L.L., additional, Oldenburg, H.S., additional, Prins, J.B., additional, Savard, J., additional, van Beurden, M., additional, van den Berg, S.W., additional, Brug, J., additional, and Buffart, L.M., additional
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- 2018
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15. Effects and moderators of psychosocial interventions on quality of life, and emotional and social function in patients with cancer: An individual patient data meta-analysis of 22 RCTs
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Kalter, J., Verdonck-de Leeuw, I.M., Sweegers, M.G., Aaronson, N.K., Jacobsen, P.B., Newton, R.U., Courneya, K.S., Aitken, J.F., Armes, J., Arving, C., Boersma, L.J., Braamse, A.M.J., Brandberg, Y., Chambers, S.K., Dekker, J., Ell, K., Ferguson, R.J., Gielissen, M.F.M., Glimelius, B., Goedendorp, M.M., Graves, K.D., Heiney, S.P., Horne, R., Hunter, M.S., Johansson, B., Kimman, M.L., Knoop, H., Meneses, K., Northouse, L.L., Oldenburg, H.S., Prins, J.B., Savard, J., Beurden, M. van, Berg, S.W. van den, Brug, J., Buffart, L.M., Kalter, J., Verdonck-de Leeuw, I.M., Sweegers, M.G., Aaronson, N.K., Jacobsen, P.B., Newton, R.U., Courneya, K.S., Aitken, J.F., Armes, J., Arving, C., Boersma, L.J., Braamse, A.M.J., Brandberg, Y., Chambers, S.K., Dekker, J., Ell, K., Ferguson, R.J., Gielissen, M.F.M., Glimelius, B., Goedendorp, M.M., Graves, K.D., Heiney, S.P., Horne, R., Hunter, M.S., Johansson, B., Kimman, M.L., Knoop, H., Meneses, K., Northouse, L.L., Oldenburg, H.S., Prins, J.B., Savard, J., Beurden, M. van, Berg, S.W. van den, Brug, J., and Buffart, L.M.
- Abstract
Item does not contain fulltext, OBJECTIVE: This individual patient data (IPD) meta-analysis aimed to evaluate the effects of psychosocial interventions (PSI) on quality of life (QoL), emotional function (EF), and social function (SF) in patients with cancer, and to study moderator effects of demographic, clinical, personal, and intervention-related characteristics. METHODS: Relevant studies were identified via literature searches in 4 databases. We pooled IPD from 22 (n = 4217) of 61 eligible randomized controlled trials. Linear mixed-effect model analyses were used to study intervention effects on the post-intervention values of QoL, EF, and SF (z-scores), adjusting for baseline values, age, and cancer type. We studied moderator effects by testing interactions with the intervention for demographic, clinical, personal, and intervention-related characteristics, and conducted subsequent stratified analyses for significant moderator variables. RESULTS: PSI significantly improved QoL (beta = 0.14,95%CI = 0.06;0.21), EF (beta = 0.13,95%CI = 0.05;0.20), and SF (beta = 0.10,95%CI = 0.03;0.18). Significant differences in effects of different types of PSI were found, with largest effects of psychotherapy. The effects of coping skills training were moderated by age, treatment type, and targeted interventions. Effects of psychotherapy on EF may be moderated by cancer type, but these analyses were based on 2 randomized controlled trials with small sample sizes of some cancer types. CONCLUSIONS: PSI significantly improved QoL, EF, and SF, with small overall effects. However, the effects differed by several demographic, clinical, personal, and intervention-related characteristics. Our study highlights the beneficial effects of coping skills training in patients treated with chemotherapy, the importance of targeted interventions, and the need of developing interventions tailored to the specific needs of elderly patients.
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- 2018
16. Prognostic importance of a second invasive primary melanoma according to tumour stage
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Youlden, D.R., primary, Baade, P.D., additional, Aitken, J.F., additional, Green, A.C., additional, and Khosrotehrani, K., additional
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- 2017
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17. Variations in outcomes for Indigenous women with breast cancer in Australia: A systematic review
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Dasgupta, P., primary, Baade, P.D., additional, Youlden, D.R., additional, Garvey, G., additional, Aitken, J.F., additional, Wallington, I., additional, Chynoweth, J., additional, Zorbas, H., additional, Roder, D., additional, and Youl, P.H., additional
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- 2017
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18. Trajectories of quality of life, life satisfaction, and psychological adjustment after prostate cancer.
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Chambers S.K., Dunn J., Frydenberg M., Wittert G., Hyde M.K., Aitken J.F., Baade P., Ng S.K., Chambers S.K., Dunn J., Frydenberg M., Wittert G., Hyde M.K., Aitken J.F., Baade P., and Ng S.K.
- Abstract
Background: To describe trajectories of health-related quality of life (QoL), life satisfaction, and psychological adjustment for men with prostate cancer over the medium to long term and identify predictors of poorer outcomes using growth mixture models. Method(s): One-thousand sixty-four (82.4% response) men diagnosed with prostate cancer were recruited close to diagnosis and assessed over a 72-month (6-year) period with self-report assessment of health-related QoL, life satisfaction, cancer-related distress, and prostate specific antigen anxiety. Urinary, bowel, and sexual function were also assessed using validated questionnaires. Result(s): Poorer physical QOL was predicted by older age, lower education, lower income, comorbidities, and receiving hormone therapy. Lower life satisfaction was related to younger age, lower income, not being partnered, and comorbidities. Poorer psychological trajectories were predicted by younger age, lower income, comorbidities, and receiving radical prostatectomy or brachytherapy. Better urinary, bowel, and sexual function were related to better global outcomes over time. Anxiety about prostate specific antigen testing was rare. Conclusion(s): Distinct trajectories exist for medium- to long-term QoL, life satisfaction, and psychological adjustment after prostate cancer; with age and socioeconomic deprivation playing a differential role in men's survivorship profile and the impact of functional status on outcomes increasing over time. These results reinforce the need for an appraisal of men's life course in addition to treatment side effects when planning survivorship care after cancer.Copyright © 2016 The Authors. Psycho-Oncology Published by John Wiley & Sons Ltd.
- Published
- 2017
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