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1.
J Invest Dermatol ; 139(4): 842-847, 2019 04.
Article in English | MEDLINE | ID: mdl-30423330

ABSTRACT

Survivors of invasive melanoma have an increased risk of developing second primary cancers; however, similar risks associated with in situ melanoma have not been established. We evaluated 39,872 survivors of first primary in situ melanoma diagnosed from 1982 through 2012 in Queensland, Australia. Relative risk of second nonmelanoma primary cancers was estimated from standardized incidence ratios with 95% confidence intervals. A total of 4,823 (12%) in situ melanoma survivors developed a second primary cancer. A small increased risk (6%) compared with the general population was found. In those younger than 50 years, risk was increased by 14% for all cancers combined. In situ melanoma survivors had significantly increased risks of developing lip, thyroid, pancreatic, and brain cancers and decreased risks of head and neck, and lung cancers. Male in situ melanoma survivors had a significantly increased risk of prostate cancer; female survivors had an increased risk of thyroid cancer and lymphoid leukemia. Findings indicate that in situ melanoma may predict the diagnosis of certain second primary cancers. This altered risk may be due to biological, behavioral, or genetic factors or increased medical surveillance, and it requires further investigation, particularly among people younger than 50 years.


Subject(s)
Cancer Survivors/statistics & numerical data , Melanoma/epidemiology , Neoplasms, Second Primary/epidemiology , Registries , Risk Assessment/methods , SEER Program , Skin Neoplasms/epidemiology , Aged , Female , Humans , Incidence , Male , Melanoma/diagnosis , Middle Aged , Neoplasms, Second Primary/diagnosis , Queensland/epidemiology , Retrospective Studies , Risk Factors , Skin Neoplasms/diagnosis , Melanoma, Cutaneous Malignant
2.
BMC Public Health ; 16: 892, 2016 08 26.
Article in English | MEDLINE | ID: mdl-27565723

ABSTRACT

BACKGROUND: Vitamin D status generally varies seasonally with changing solar UVB radiation, time in the sun, amount of skin exposed, and, possibly, diet. The Seasonal D Study was designed to quantify the amplitude and phase of seasonal variation in the serum concentration of 25-hydroxyvitamin D, (25OH)D)) and identify the determinants of the amplitude and phase and those of inter-individual variability in seasonal pattern. METHODS: The Seasonal D Study collected data 2-monthly for 12 months, including demographics, personal sun exposure using a diary and polysulphone dosimeters over 7 days, and blood for serum 25(OH)D concentration. The study recruited 333 adults aged 18-79 years living in Canberra (35°S, n = 168) and Brisbane (27°South, n = 165), Australia. DISCUSSION: We report the study design and cohort description for the Seasonal D Study. The study has collected a wealth of data to examine inter- and intra-individual seasonal variation in vitamin D status and serum 25(OH)D levels in Australian adults.


Subject(s)
Climate , Seasons , Sunlight , Vitamin D Deficiency/etiology , Vitamin D/analogs & derivatives , Adolescent , Adult , Aged , Australia/epidemiology , Cohort Studies , Female , Humans , Male , Middle Aged , Skin , Vitamin D/blood , Vitamin D Deficiency/blood , Vitamin D Deficiency/epidemiology , Young Adult
3.
Photochem Photobiol ; 90(4): 919-24, 2014.
Article in English | MEDLINE | ID: mdl-24571445

ABSTRACT

Personal ultraviolet dosimeters have been used in epidemiological studies to understand the risks and benefits of individuals' exposure to solar ultraviolet radiation (UVR). We investigated the types and determinants of noncompliance associated with a protocol for use of polysulphone UVR dosimeters. In the AusD Study, 1002 Australian adults (aged 18-75 years) were asked to wear a new dosimeter on their wrist each day for 10 consecutive days to quantify their daily exposure to solar UVR. Of the 10 020 dosimeters distributed, 296 (3%) were not returned or used (Type-I noncompliance) and other usage errors were reported for 763 (8%) returned dosimeters (Type-II noncompliance). Type-I errors were more common in participants with predominantly outdoor occupations. Type-II errors were reported more frequently on the first day of measurement; weekend days or rainy days; and among females; younger people; more educated participants or those with outdoor occupations. Half (50%) the participants reported a noncompliance error on at least 1 day during the 10-day period. However, 92% of participants had at least 7 days of usable data without any apparent noncompliance issues. The factors identified should be considered when designing future UVR dosimetry studies.

4.
Am J Epidemiol ; 179(7): 864-74, 2014 Apr 01.
Article in English | MEDLINE | ID: mdl-24573539

ABSTRACT

The Quantitative Assessment of Solar UV [ultraviolet] Exposure for Vitamin D Synthesis in Australian Adults (AusD) Study aimed to better define the relationship between sun exposure and serum 25-hydroxyvitamin D (25(OH)D) concentration. Cross-sectional data were collected between May 2009 and December 2010 from 1,002 participants aged 18-75 years in 4 Australian sites spanning 24° of latitude. Participants completed the following: 1) questionnaires on sun exposure, dietary vitamin D intake, and vitamin D supplementation; 2) 10 days of personal ultraviolet radiation dosimetry; 3) a sun exposure and physical activity diary; and 4) clinical measurements and blood collection for 25(OH)D determination. Our multiple regression model described 40% of the variance in 25(OH)D concentration; modifiable behavioral factors contributed 52% of the explained variance, and environmental and demographic or constitutional variables contributed 38% and 10%, respectively. The amount of skin exposed was the single strongest contributor to the explained variance (27%), followed by location (20%), season (17%), personal ultraviolet radiation exposure (8%), vitamin D supplementation (7%), body mass index (weight (kg)/height (m)(2)) (4%), and physical activity (4%). Modifiable behavioral factors strongly influence serum 25(OH)D concentrations in Australian adults. In addition, latitude was a strong determinant of the relative contribution of different behavioral factors.


Subject(s)
Sunlight , Ultraviolet Rays , Vitamin D Deficiency/epidemiology , Vitamin D/analogs & derivatives , Adolescent , Adult , Aged , Australia , Body Mass Index , Cross-Sectional Studies , Dietary Supplements/statistics & numerical data , Female , Humans , Interviews as Topic , Male , Middle Aged , Motor Activity , Nutrition Assessment , Regression Analysis , Surveys and Questionnaires , Time Factors , Vitamin D/administration & dosage , Vitamin D/blood , Vitamin D Deficiency/prevention & control , Young Adult
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