Assessment of Lifetime Ocular Exposure to UV-B: The Melbourne Visual Impairment Project

McCarty, Catherine A.; Lee, Sharon E.; Livingston, Patricia M.; Taylor, Hugh R.

doi:10.1159/000425642

Cited by 38 publications

(52 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the determination of the coefficient (ma) which takes into account the use of protective equipment we use specific coefficients adapted from the previously discussed models of Rosenthal et al and McCarty et al [23,24]. For example, for a habitual use (according to the questionnaire answers "often" or "always" adopted) of normal clothing we have a coefficient of 0.2, for no use we have a value of 1.…”

Section: Discussionmentioning

confidence: 99%

“…Few examples of large-scale quantitative and semiquantitative monitoring of UV exposure for a long period of time were that of Germany [22], the United States [23] and Australia [24]. In the German project carried out by the Federal Institute for Occupational Safety and Health (Bundesanstalt für Arbeitsschutz und Arbeitsmedizin -BAuA), various outdoor occupations were monitored with personal UV dosimeters along the year on week days, at weekends and during holidays, considering 19 specific body parts [22].…”

Section: Introductionmentioning

confidence: 99%

“…In the American study an integration of objective and subjective data was performed by Rosenthal et al [23], developing a model of ocular and facial skin exposure to UVB combining interviews on previous relevant outdoor work and leisure activities, use of protective equipment and laboratory measurements of UV radiant exposure in watermen. Similarly in Australia, McCarty et al [24] developed a simplified model for quantifying lifetime ocular UVB exposure considering the ambient UVB levels, the duration of outdoor exposure, the proportion of ambient UVB reaching the eye and the use of ocular protection. These studies are relevant to understand how individual and environmental factors may modify SR exposure, influencing the induction of long-term adverse effects.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Outdoor work and solar radiation exposure: Evaluation method for epidemiological studies

Modenese¹,

Bisegna²,

Borra³

et al. 2016

Med Pr

View full text Add to dashboard Cite

Background: The health risk related to an excessive exposure to solar radiation (SR) is well known. The Sun represents the main exposure source for all the frequency bands of optical radiation, that is the part of the electromagnetic spectrum ranging between 100 nm and 1 mm, including infrared (IR), ultraviolet (UV) and visible radiation. According to recent studies, outdoor workers have a relevant exposure to SR but few studies available in scientific literature have attempted to retrace a detailed history of individual exposure. Material and Methods: We propose a new method for the evaluation of SR cumulative exposure both during work and leisure time, integrating subjective and objective data. The former is collected by means of an interviewer administrated questionnaire. The latter is available through the Internet databases for many geographical regions and through individual exposure measurements. The data is integrated into a mathematical algorithm, in order to obtain an esteem of the individual total amount of SR the subjects have been exposed to during their lives. Results: The questionnaire has been tested for 58 voluntary subjects. Environmental exposure data through online databases has been collected for 3 different places in Italy in 2012. Individual exposure by electronic UV dosimeter has been measured in 6 fishermen. A mathematical algorithm integrating subjective and objective data has been elaborated. Conclusions: The method proposed may be used in epidemiological studies to evaluate specific correlations with biological effects of SR and to weigh the role of the personal and environmental factors that may increase or reduce SR exposure. Med Pr 2016;67(5):577-587

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Outdoor work and solar radiation exposure: Evaluation method for epidemiological studies

Modenese¹,

Bisegna²,

Borra³

et al. 2016

Med Pr

View full text Add to dashboard Cite

show abstract

“…10 Risk of choroid and ciliary body melanoma was examined in both sexes and in men and women separately since men were known to spend more time outdoors than women at all ages 17,31 and to have higher ocular sun exposure than women. 14,15 Personal sun exposure and ambient solar irradiance variables were grouped into categories for analyses using approximate quarters or thirds of the exposure distribution in controls. The small number of iris and conjunctival melanomas necessitated analyses of both sexes combined and exposure in 2 categories of approximately equal numbers of controls, with examination restricted to selected variables only.…”

Section: Discussionmentioning

confidence: 99%

Sun exposure predicts risk of ocular melanoma in Australia

Vajdic¹,

Kricker

Giblin

et al. 2002

Intl Journal of Cancer

131

View full text Add to dashboard Cite

Previous studies examining sun exposure and ocular melanoma have produced inconsistent results. We investigated this association in a population-based case-control study in Australia. Cases (n ‫؍‬ 290) aged 18 -79 years were diagnosed between January 1996 and July 1998. Controls (n ‫؍‬ 893) were randomly selected from the electoral rolls and frequencymatched to cases by age, sex and state. A self-administered questionnaire and a telephone interview measured sun exposure on weekdays and weekends at 10, 20, 30 and 40 years of age and over the whole of life for specific jobs and recreations. Multivariate logistic regression models of ocular melanoma and sun exposure contained age, sex, region of birth, eye color and measures of ocular and cutaneous sun sensitivity as covariates. Choroid and ciliary body melanoma (n ‫؍‬ 246) was positively associated with time outdoors on weekdays and, less persuasively, total time outdoors but not ambient solar irradiance. Odds ratios increased with increasing exposure to OR 1.8 (95% confidence interval 1.1-2.8) for the highest quarter of sun exposure on weekdays up to 40 years of age for men and women together. The strongest positive associations were for total exposure up to 40 years of age, lifetime occupational exposure and total exposure at about 20 years of age in men; all had odds ratios between 2 and 3 in the highest exposure categories. There was inconclusive evidence for an association between sun exposure and iris (n ‫؍‬ 25) or conjunctival (n ‫؍‬ 19) melanomas. Sun exposure is an independent risk factor for choroidal and ciliary body melanoma in Australia. © 2002 Wiley-Liss, Inc. Key words: ocular melanoma; aetiology; sun exposure; UV radiation; AustraliaThe estimated risks of ocular melanoma associated with personal sun exposure, ambient solar irradiance and use of protective wear have been inconsistent both within and between case-control studies. [1][2][3][4][5][6][7][8][9] However, positive associations with factors less prone to measurement error, such as indicators of sun sensitivity 10 and exposure to artificial sources of UV radiation (e.g., welding arcs and sunlamps), 4,9 suggest a positive association with solar radiation.Possible explanations for past inconclusive results include nonpopulation-based ascertainment of cases and controls, use of qualitative or crude quantitative sun-exposure measures and inadequate control of potential confounding factors, particularly sun sensitivity. Moreover, previous studies collected little or no sun-exposure data for the early years of life. If sun exposure is a risk factor for melanoma of the choroid and ciliary body, the commonest subsites of ocular melanoma, the aetiologically relevant exposure period is probably from birth to the early 20s, when there is some transmission of UV radiation by the crystalline lens to these posterior ocular sites. 11,12 Finally, the unique exposure characteristics of the eye necessitate accounting for personal protective behaviors and environmental factors in estimating ocular sun exposure...

show abstract

“…17 The lifetime ocular UV exposure data collection was performed as per the Melbourne visual impairment project model. 18 In short, it contained collection of data on details of migration, the use of protective devices based on questionnaire, and details on UV radiation exposure at the location based on geographic location.…”

Section: Methodsmentioning

confidence: 99%

Association of macular pigment optical density with risk factors for wet age-related macular degeneration in the Indian population

Raman

Biswas

Gupta

et al. 2012

Eye

View full text Add to dashboard Cite

Purpose To investigate macular pigment optical density (MPOD) in patients with and without wet age-related macular degeneration (AMD) and to elucidate the association between MPOD and the risk factors for AMD in an Indian population. Methods Thirty-three subjects with wet AMD and 29 controls above 50 years old underwent MPOD measurement with the 'Macular Densitometer'. The subjects were also tested for their smoking history, lifetime ultraviolet (UV) exposure, dietary intake of carotenoids, and body mass index (BMI). Results Smokers had a higher risk for AMD than the non-smokers (P ¼ 0.032) and a lower MPOD level than non-smokers (mean (95% CI)) (0.16 (0.09-0.23) vs 0.28 (0.22-0.34), adjusted P ¼ 0.026). Subjects with lowest UV exposure had higher MPOD than those with the highest (0.46 (0.38-0.54) vs 0.17 (0.01-0.33), P ¼ 0.01). MPOD was significantly lower among those with the lowest quartile of dietary intake of carotenoids (0.14 (0.08-0.21) vs 0.25 (0.13-0.36), P ¼ 0.012). Smoking, obesity, and UV index showed an inverse association with the MPOD. Low MPOD, smoking, and UV exposure had 5.11 (1.73-15.08), 3.54 (1.08-11.57), and 5.24 (1.06-25.96) odds for AMD, respectively, whereas higher dietary intake of carotenoids showed a protective effect for AMD. Conclusion We found an inverse association between wet AMD and MPOD. Among the established risk factors of wet AMD, we found an inverse association of smoking, UV index, and obesity with MPOD, whereas a positive association was found between dietary intake of carotenoids and MPOD. Eye (2012) 26, 950-957;

show abstract

Assessment of Lifetime Ocular Exposure to UV-B: The Melbourne Visual Impairment Project

Cited by 38 publications

References 0 publications

Outdoor work and solar radiation exposure: Evaluation method for epidemiological studies

Outdoor work and solar radiation exposure: Evaluation method for epidemiological studies

Sun exposure predicts risk of ocular melanoma in Australia

Association of macular pigment optical density with risk factors for wet age-related macular degeneration in the Indian population

Contact Info

Product

Resources

About