A proposed methodology to estimate the cumulative life-time UVB exposure using geographic information systems: An application to multiple sclerosis

Schuurman, Nadine; Amram, Ofer; Saeedi, Jameelah; Rieckmann, Peter; Yee, Irene M.; Tremlett, Helen

doi:10.1016/j.msard.2012.07.003

Cited by 6 publications

(8 citation statements)

References 30 publications

(40 reference statements)

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“…Although these findings hypothesized the sunlight and UV role in the pathogenesis of MS, but many studies did not support this hypothesis. In the study of Ofer Amram and et al, the life time UVB exposure estimated by new satellite technology [21]. There was no significant associatiation between the age MS onset and calculated UVB exposure [22].…”

Section: Discussionmentioning

confidence: 94%

Does the multiple sclerosis (MS) map need to change again? An update of MS prevalence in Mazandaran province of Iran in 2018

et al. 2020

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Background: Information of Previous studies on the prevalence of MS, including our study conducted 12 years ago, used to shape global prevalence map of MS. According to those results, Iran placed in medium-prevalence MS region in the world Atlas of MS 2013.This study aimed to investigate the prevalence of MS in Mazandaran province after 12 years and the need for possible changes in the global map of the prevalence of MS. Methods: We included all MS patients living in Mazandaran province in 2018 in this descriptive cross-sectional study. We updated our pre-existing registration questionnaires which included demographic information and medical data of MS patients by interview. We obtained the demographic profile of Mazandaran province from the most recent census in 2016 and the National Civil Registry of the Mazandaran province for calculating prevalence of MS. Results: The total number of MS patients in Mazandaran was 2418 (25.8% male and 74.2% female) with a female to male ratio of 2.9. Based on the local population of 3,332,556, (50.4% male and 49.6% female), this study showed a prevalence of 72.5 per 100,000 for MS in this region. The prevalence of this disease by gender was 37.1 per 100,000 for men and 108.5 per 100,000 for women. The mean (SD) age of the patients at the time of the study was 38.5 (10.1) years with a minimum of 15 and a maximum of 75 years. The most common type of MS was Relapsing-Remitting MS with 86%. Conclusions: All recent studies showed significant upward trend in the prevalence of MS around the world. Based on the results of our study and many other studies in Iran, the Atlas of MS prevalence map needs to be update. Iran's status should be changed to the high-prevalence of MS in the new Atlas. Due to the increasing prevalence of MS, we suggest an adjustment in the Global MS Prevalence Scale.

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Section: Discussionmentioning

confidence: 94%

Does the multiple sclerosis (MS) map need to change again? An update of MS prevalence in Mazandaran province of Iran in 2018

et al. 2020

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“…TOMS and OMI UVR estimates have been previously used to estimate sun exposure in various epidemiological studies including those focused on multiple sclerosis [16], cancer [23,24,25,26,27,28,29,30], asthma and hayfever [31], diabetes [32], and mortality [33,34]. Many of these studies assumed no long-term changes in UVR, and simply averaged UVR to estimate sun exposure.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have found associations of latitude with multiple sclerosis [10,11,12], melanoma [13,14], and non-melanoma skin cancers [15]. However, these studies do not capture intra-latitude variability between places, such as South Carolina and Arizona, two states within the same latitude, but with very different sun exposures [16]. Furthermore, latitude use does not estimate actual ambient UVR exposure.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike ground level instruments, the satellite data provide continuous standardized estimates across the globe which allows for study of UVR exposures outside of the US. Satellite data have been used in the study of various health outcomes including multiple sclerosis [16], melanoma [21,22,23] and other cancers [24,25,26,27,28,29,30], asthma and hayfever [31], diabetes [32], and mortality [33,34]. Although satellite data represent an opportunity for standardized UVR estimation across vast distances many criticisms for use of this source exist, such as data validation and seasonal inconsistencies [35].…”

Section: Introductionmentioning

confidence: 99%

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Temporal Trends in Satellite-Derived Erythemal UVB and Implications for Ambient Sun Exposure Assessment

Langston

Dennis

Lynch

et al. 2017

IJERPH

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Ultraviolet radiation (UVR) has been associated with various health outcomes, including skin cancers, vitamin D insufficiency, and multiple sclerosis. Measurement of UVR has been difficult, traditionally relying on subject recall. We investigated trends in satellite-derived UVB from 1978 to 2014 within the continental United States (US) to inform UVR exposure assessment and determine the potential magnitude of misclassification bias created by ignoring these trends. Monthly UVB data remotely sensed from various NASA satellites were used to investigate changes over time in the United States using linear regression with a harmonic function. Linear regression models for local geographic areas were used to make inferences across the entire study area using a global field significance test. Temporal trends were investigated across all years and separately for each satellite type due to documented differences in UVB estimation. UVB increased from 1978 to 2014 in 48% of local tests. The largest UVB increase was found in Western Nevada (0.145 kJ/m2 per five-year increment), a total 30-year increase of 0.87 kJ/m2. This largest change only represented 17% of total ambient exposure for an average January and 2% of an average July in Western Nevada. The observed trends represent cumulative UVB changes of less than a month, which are not relevant when attempting to estimate human exposure. The observation of small trends should be interpreted with caution due to measurement of satellite parameter inputs (ozone and climatological factors) that may impact derived satellite UVR nearly 20% compared to ground level sources. If the observed trends hold, satellite-derived UVB data may reasonably estimate ambient UVB exposures even for outcomes with long latency phases that predate the satellite record.

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“…Among the 19 papers focused on MS, with sun exposure being the most studied environmental factor (n = 13), one was methodological and did not measure any outcome related to MS [97]. An inverse association between MS and sun exposure was reported in seven studies [98][99][100][101][102][103][104].…”

Section: Qualitative Synthesismentioning

confidence: 99%

Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review

Oliveira

Padrão

Ramalho

et al. 2020

IJERPH

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Despite the vast evidence on the environmental influence in neurodegenerative diseases, those considering a geospatial approach are scarce. We conducted a systematic review to identify studies concerning environmental atmospheric risk factors for neurodegenerative diseases that have used geospatial analysis/tools. PubMed, Web of Science, and Scopus were searched for all scientific studies that included a neurodegenerative disease, an environmental atmospheric factor, and a geographical analysis. Of the 34 included papers, approximately 60% were related to multiple sclerosis (MS), hence being the most studied neurodegenerative disease in the context of this study. Sun exposure (n = 13) followed by the most common exhaustion gases (n = 10 for nitrogen dioxide (NO2) and n = 5 for carbon monoxide (CO)) were the most studied atmospheric factors. Only one study used a geospatial interpolation model, although 13 studies used remote sensing data to compute atmospheric factors. In 20% of papers, we found an inverse correlation between sun exposure and multiple sclerosis. No consensus was reached in the analysis of nitrogen dioxide and Parkinson’s disease, but it was related to dementia and amyotrophic lateral sclerosis. This systematic review (number CRD42020196188 in PROSPERO’s database) provides an insight into the available evidence regarding the geospatial influence of environmental factors on neurodegenerative diseases.

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A proposed methodology to estimate the cumulative life-time UVB exposure using geographic information systems: An application to multiple sclerosis

Cited by 6 publications

References 30 publications

Does the multiple sclerosis (MS) map need to change again? An update of MS prevalence in Mazandaran province of Iran in 2018

Does the multiple sclerosis (MS) map need to change again? An update of MS prevalence in Mazandaran province of Iran in 2018

Temporal Trends in Satellite-Derived Erythemal UVB and Implications for Ambient Sun Exposure Assessment

Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review

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