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Kang, X.; Jia, L.; Zhang, X.; Li, Y.; Chen, Y.; Shen, X.; Wu, Y. |
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Title |
Long-Term Continuous Light Exposure Affects Body Weight and Blood Glucose Associated with Inflammation in Female Rats |
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Journal Article |
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Year |
2016 |
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Journal of Biosciences and Medicines |
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Jbm |
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04 |
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09 |
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11-24 |
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Animals |
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2327-5081 |
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LoNNe @ kyba @ |
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1527 |
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Author |
Katz, Y.; Levin, N. |
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Title |
Quantifying urban light pollution -- A comparison between field measurements and EROS-B imagery |
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Journal Article |
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2016 |
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Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
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177 |
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65-77 |
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Remote Sensing; Skyglow |
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0034-4257 |
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LoNNe @ kyba @ |
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1359 |
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Keshet-Sitton, A.; Or-Chen, K.; Huber, E.; Haim, A. |
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Title |
Illuminating a Risk for Breast Cancer: A Preliminary Ecological Study on the Association Between Streetlight and Breast Cancer |
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Journal Article |
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Year |
2016 |
Publication |
Integrative Cancer Therapies |
Abbreviated Journal |
Integr Cancer Ther |
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Human Health |
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Artificial light at night (ALAN) for elongating photophase is a new source of pollution. We examined the association between measured ALAN levels and breast cancer (BC) standard morbidity ratio (SMR) at a statistical area (SA) level in an urban environment. Sample size consisted of 266 new BC cases ages 35-74. Light measurements (lux) were performed in 11 SAs. A new calculated variable of morbidity per SA size (SMR35-74/km2) was correlated with the light variables per road length, using Pearson correlations (P < .05, 1-tailed). Looking for a light threshold, we correlated percentage of light points above SA light intensity median with SMR35-74/km2 SMR35-74/km2 was significantly and positively strongly correlated with mean, median, and standard-deviation (SD) light intensity per road length (r = .79, P < .01, R2 = .63; r = .77, P < .01, R2 = .59; and r = .79, P < .01, R2 = .63). Light threshold results demonstrate a marginally significant positive moderate correlation between percentage of points above 16.3 lux and SMR35-74/km2 (r = .48, P < .07; R2 = .23). In situ results support the hypothesis that outdoor ALAN illumination is associated with a higher BC-SMR in a specific area and age group. Moreover, we suggest an outdoor light threshold of approximately 16 lux as the minimal intensity to affect melatonin levels and BC morbidity. To the best of our knowledge, our attempt is the first to use this method and show such association between streetlight intensity and BC morbidity and therefore should be further developed. |
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University of Haifa, Haifa, Israel |
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1534-7354 |
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PMID:27899698 |
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LoNNe @ kyba @ |
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1635 |
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Keshet-Sitton, A.; Or-Chen, K.; Yitzhak, S.; Tzabary, I.; Haim, A. |
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Title |
Light and the City: Breast Cancer Risk Factors Differ Between Urban and Rural Women in Israel |
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Journal Article |
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Year |
2016 |
Publication |
Integrative Cancer Therapies |
Abbreviated Journal |
Integr Cancer Ther |
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Volume |
16 |
Issue |
2 |
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176-187 |
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Keywords |
Human Health |
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Abstract |
Women are exposed to indoor and outdoor artificial light at night (ALAN) in urban and rural environments. Excessive exposure to hazardous ALAN containing short wavelength light may suppress pineal melatonin production and lead to an increased breast cancer (BC) risk. Our objective was to address the differences in BC risks related to light exposure in urban and rural communities. We examined indoor and outdoor light habits of BC patients and controls that had lived in urban and rural areas in a 5-year period, 10 to 15 years before the time of the study. Individual data, night time sleeping habits and individual exposure to ALAN habits were collected using a questionnaire. A total of 252 women (110 BC patients and 142 controls) participated in this study. The sample was divided to subgroups according to dwelling area and disease status. Age matching was completed between all subgroups. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated for urban and rural women separately, using binary logistic regression. OR results of urban population (92 BC patients and 72 control) revealed that BC risk increases with daily use of cellphone (OR = 2.13, 95% CI = 1.01-4.49, P < .05) and residence near strong ALAN sources (OR = 1.51, 95% CI = 0.99-2.30, P < .06). Nevertheless, BC risk decreases if a woman was born in Israel (OR = 0.44, 95% CI = 0.21-0.93, P < .03), longer sleep duration (OR = 0.75, 95% CI = 0.53-1.05, P < .1), and reading with bed light illumination before retiring to sleep (OR = 0.77, 95% CI = 0.61-0.96, P < .02). Furthermore, in the rural population (18 BC patients and 66 control) BC risk increases with the number of years past since the last menstruation (OR = 1.12, 95% CI = 1.03-1.22, P < .01). However, BC risk decreases with longer sleep duration (OR = 0.53, 95% CI = 0.24-1.14, P < .1), reading with room light illumination before retiring to sleep (OR = 0.55, 95% CI = 0.29-1.06, P < .07), and sleeping with closed shutters during the night (OR = 0.66, 95% CI = 0.41-1.04, P < .08). These data support the idea that indoor and outdoor nighttime light exposures differ between urban and rural women. Therefore, we suggest that women can influence BC risk and incidence by applying protective personal lighting habits. Further studies with larger sample sizes are needed to strengthen the results. |
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University of Haifa, Mount Carmel, Haifa, Israel |
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1534-7354 |
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Notes |
PMID:27440788 |
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LoNNe @ kyba @ |
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1492 |
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Author |
Kim, Y.J.; Park, M.S.; Lee, E.; Choi, J.W. |
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Title |
High Incidence of Breast Cancer in Light-Polluted Areas with Spatial Effects in Korea |
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Journal Article |
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Year |
2016 |
Publication |
Asian Pacific Journal for Cancer Prevention |
Abbreviated Journal |
Asian Pac J Cancer Prev |
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Volume |
17 |
Issue |
1 |
Pages |
361-367 |
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Keywords |
Human Health; Light pollution; breast cancer; spatial analysis; intrinsic conditional autoregressive model |
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Abstract |
We have reported a high prevalence of breast cancer in light-polluted areas in Korea. However, it is necessary to analyze the spatial effects of light polluted areas on breast cancer because light pollution levels are correlated with region proximity to central urbanized areas in studied cities. In this study, we applied a spatial regression method (an intrinsic conditional autoregressive [iCAR] model) to analyze the relationship between the incidence of breast cancer and artificial light at night (ALAN) levels in 25 regions including central city, urbanized, and rural areas. By Poisson regression analysis, there was a significant correlation between ALAN, alcohol consumption rates, and the incidence of breast cancer. We also found significant spatial effects between ALAN and the incidence of breast cancer, with an increase in the deviance information criterion (DIC) from 374.3 to 348.6 and an increase in R² from 0.574 to 0.667. Therefore, spatial analysis (an iCAR model) is more appropriate for assessing ALAN effects on breast cancer. To our knowledge, this study is the first to show spatial effects of light pollution on breast cancer, despite the limitations of an ecological study. We suggest that a decrease in ALAN could reduce breast cancer more than expected because of spatial effects. |
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Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Korea; eunil(at)korea.ac.kr. |
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Asian Pacific Organization for Cancer Prevention |
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Korea |
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English |
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English |
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IDA @ john @ |
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1362 |
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