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Abay, K. A., & Amare, M. (2018). Night light intensity and women's body weight: Evidence from Nigeria. Econ Hum Biol, 31, 238–248.
Abstract: The prevalence of overweight and obesity are increasing in many African countries and hence becoming regional public health challenges. We employ satellite-based night light intensity data as a proxy for urbanization to investigate the relationship between urbanization and women's body weight. We use two rounds of the Demographic and Health Survey data from Nigeria. We employ both nonparametric and parametric estimation approaches that exploit both the cross-sectional and longitudinal variations in night light intensities. Our empirical analysis reveals nonlinear relationships between night light intensity and women's body weight measures. Doubling the sample's average level of night light intensity is associated with up to a ten percentage point increase in the probability of overweight. However, despite the generally positive relationship between night light intensity and women's body weight, the strength of the relationship varies across the assorted stages of night light intensity. Early stages of night light intensity are not significantly associated with women's body weight, while higher stages of nightlight intensities are associated with higher rates of overweight and obesity. Given that night lights are strong predictors of urbanization and related economic activities, our results hint at nonlinear relationships between various stages of urbanization and women's body weight.
Keywords: Remote Sensing; Human Health; Adolescent; Adult; Body Mass Index; *Body Weight; Cross-Sectional Studies; Female; Health Surveys; Humans; Lighting/*statistics & numerical data; Middle Aged; Nigeria/epidemiology; Obesity/epidemiology; Overweight/*epidemiology; Prevalence; *Urbanization; Young Adult; *Bmi; *Nigeria; *Night light; *Obesity; *Overweight; *Urbanization
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Fonken, L. K., Weil, Z. M., & Nelson, R. J. (2013). Dark nights reverse metabolic disruption caused by dim light at night. Obesity (Silver Spring), 21(6), 1159–1164.
Abstract: OBJECTIVE: The increasing prevalence of obesity and related metabolic disorders coincides with increasing exposure to light at night. Previous studies report that mice exposed to dim light at night (dLAN) develop symptoms of metabolic syndrome. This study investigated whether mice returned to dark nights after dLAN exposure recover metabolic function. DESIGN AND METHODS: Male Swiss-Webster mice were assigned to either: standard light-dark (LD) conditions for 8 weeks (LD/LD), dLAN for 8 weeks (dLAN/dLAN), LD for 4 weeks followed by 4 weeks of dLAN (LD/dLAN), and dLAN for 4 weeks followed by 4 weeks of LD (dLAN/LD). RESULTS: After 4 weeks in their respective lighting conditions both groups initially placed in dLAN increased body mass gain compared to LD mice. Half of the dLAN mice (dLAN/LD) were then transferred to LD and vice versa (LD/dLAN). Following the transfer dLAN/dLAN and LD/dLAN mice gained more weight than LD/LD and dLAN/LD mice. At the conclusion of the study dLAN/LD mice did not differ from LD/LD mice with respect to weight gain and had lower fat pad mass compared to dLAN/dLAN mice. Compared to all other groups dLAN/dLAN mice decreased glucose tolerance as indicated by an intraperitoneal glucose tolerance test at week 7, indicating that dLAN/LD mice recovered glucose metabolism. dLAN/dLAN mice also increased MAC1 mRNA expression in peripheral fat as compared to both LD/LD and dLAN/LD mice, suggesting peripheral inflammation is induced by dLAN, but not sustained after return to LD. CONCLUSION: These results suggest that re-exposure to dark nights ameliorates metabolic disruption caused by dLAN exposure.
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Fonken, L. K., Workman, J. L., Walton, J. C., Weil, Z. M., Morris, J. S., Haim, A., et al. (2010). Light at night increases body mass by shifting the time of food intake. Proc Natl Acad Sci U S A, 107(43), 18664–18669.
Abstract: The global increase in the prevalence of obesity and metabolic disorders coincides with the increase of exposure to light at night (LAN) and shift work. Circadian regulation of energy homeostasis is controlled by an endogenous biological clock that is synchronized by light information. To promote optimal adaptive functioning, the circadian clock prepares individuals for predictable events such as food availability and sleep, and disruption of clock function causes circadian and metabolic disturbances. To determine whether a causal relationship exists between nighttime light exposure and obesity, we examined the effects of LAN on body mass in male mice. Mice housed in either bright (LL) or dim (DM) LAN have significantly increased body mass and reduced glucose tolerance compared with mice in a standard (LD) light/dark cycle, despite equivalent levels of caloric intake and total daily activity output. Furthermore, the timing of food consumption by DM and LL mice differs from that in LD mice. Nocturnal rodents typically eat substantially more food at night; however, DM mice consume 55.5% of their food during the light phase, as compared with 36.5% in LD mice. Restricting food consumption to the active phase in DM mice prevents body mass gain. These results suggest that low levels of light at night disrupt the timing of food intake and other metabolic signals, leading to excess weight gain. These data are relevant to the coincidence between increasing use of light at night and obesity in humans.
Keywords: Animals; Body Mass Index; *Circadian Rhythm; Disease Models, Animal; Eating/*physiology/psychology/*radiation effects; Energy Intake; Feeding Behavior/physiology/psychology/radiation effects; Glucose Tolerance Test; Humans; Male; Metabolic Syndrome X/etiology; Mice; Motor Activity; Obesity/*etiology/pathology/physiopathology/psychology; *Photoperiod
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McFadden, E., Jones, M. E., Schoemaker, M. J., Ashworth, A., & Swerdlow, A. J. (2014). The Relationship Between Obesity and Exposure to Light at Night: Cross-Sectional Analyses of Over 100,000 Women in the Breakthrough Generations Study. Am J Epidemiol, 180(3), 245–250.
Abstract: There has been a worldwide epidemic of obesity in recent decades. In animal studies, there is convincing evidence that light exposure causes weight gain, even when calorie intake and physical activity are held constant. Disruption of sleep and circadian rhythms by exposure to light at night (LAN) might be one mechanism contributing to the rise in obesity, but it has not been well-investigated in humans. Using multinomial logistic regression, we examined the association between exposure to LAN and obesity in questionnaire data from over 100,000 women in the Breakthrough Generations Study, a cohort study of women aged 16 years or older who were living in the United Kingdom and recruited during 2003-2012. The odds of obesity, measured using body mass index, waist:hip ratio, waist:height ratio, and waist circumference, increased with increasing levels of LAN exposure (P < 0.001), even after adjustment for potential confounders such as sleep duration, alcohol intake, physical activity, and current smoking. We found a significant association between LAN exposure and obesity which was not explained by potential confounders we could measure. While the possibility of residual confounding cannot be excluded, the pattern is intriguing, accords with the results of animal experiments, and warrants further investigation.
Keywords: body mass index; circadian rhythm; light at night; obesity; sleep; sleeping habits
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Owens, B. (2013). Obesity: heavy sleepers. Nature, 497(7450), S8–9.
Keywords: Human Health; Animals; Body Mass Index; CLOCK Proteins/genetics/metabolism; Circadian Rhythm/physiology; Energy Metabolism/*physiology; Ghrelin/metabolism; Humans; Insulin Resistance/physiology; Leptin/metabolism; Male; Mice; Obesity/*physiopathology; Satiety Response/physiology; Sleep/*physiology; Suprachiasmatic Nucleus/physiology; Time Factors; Weight Gain/physiology; Weight Loss/physiology
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