2017
DOI: 10.1002/pon.4565
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Clustering of prevention behaviours in patients with high‐risk primary melanoma

Abstract: These findings allow tailoring of preventive advice to melanoma patients to reduce their risk of future primary and recurrent disease.

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Cited by 5 publications
(3 citation statements)
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“…These results suggest that patients with multiple melanomas can lower their risk of further primary melanomas by applying sunscreen when outdoors. For over 30 years there have been widespread skin cancer awareness and prevention campaigns in Australia, as reflected in the high proportion of participants using sun protective behaviours before diagnosis (195,196). Despite this, at least one-fifth of our study cohort (particularly males) displayed risky sun behaviours before melanoma diagnosis, with little or no change after diagnosis, consistent with other reports (67,68,188).…”
Section: Discussionsupporting
confidence: 85%
“…These results suggest that patients with multiple melanomas can lower their risk of further primary melanomas by applying sunscreen when outdoors. For over 30 years there have been widespread skin cancer awareness and prevention campaigns in Australia, as reflected in the high proportion of participants using sun protective behaviours before diagnosis (195,196). Despite this, at least one-fifth of our study cohort (particularly males) displayed risky sun behaviours before melanoma diagnosis, with little or no change after diagnosis, consistent with other reports (67,68,188).…”
Section: Discussionsupporting
confidence: 85%
“…Two models were generated: unadjusted, and then adjusted for age at diagnosis (<50, 50-69, ≥70 years), sex, frequency of skin checks and energy intake (in tertiles). Skin checking practices has been linked to melanoma thickness (6), education and health related behaviour such as smoking and sun protection practices (43) known to be associated with dietary habits (44). We evaluated effect modification by sex, age, patients' personal history of melanoma, family history of melanoma and co-morbidities by including interaction terms between them and dietary patterns.…”
Section: Discussionmentioning
confidence: 99%
“…To test for linear trends, we assigned an ordinal number from 1 (lowest) to 3 (highest tertile) and modelled this as a continuous variable. Our adjusted model included age (<55, 55–60 and >70), sex, frequency of skin checks (known to be associated with melanoma thickness, 42 sun protection practices 43 and diet 44 ), socio‐economic indicators (education and health sector where patient first presented) and energy intake (continuous).…”
Section: Methodsmentioning
confidence: 99%