| 1. |
- Martins, Andressa J., et al.
(författare)
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The effect of urbanization on sleep, sleep/wake routine, and metabolic health of residents in the Amazon region of Brazil
- 2020
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Ingår i: Chronobiology International. - : Informa UK Limited. - 0742-0528 .- 1525-6073. ; 37:9-10, s. 1335-1343
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Tidskriftsartikel (refereegranskat)abstract
- Studying communities with different levels of urbanization may further the understanding of risk factors underlying metabolic diseases. The present study is unique by comprising detailed assessment of sleep and activity, biological rhythms, and metabolic factors of men from the same geographical location and place of birth that reside in different, rural vs. town, stages of urbanization. Sleep patterns, activity, and metabolic indicators in two groups (rural, n = 22 and town/urban, n = 20) of men residing in an Amazonian community (Xapuri, Acre, Brazil) were compared. Sociodemographic, anthropometric, and metabolic variables - fasting glucose, insulin resistance, triglycerides, total HDL cholesterol, LDL cholesterol, and VLDL cholesterol - were assessed. Sleep patterns, light exposure, and physical activity levels were additionally assessed by actigraphy, plus daily activities were recorded in diaries for 10 days. Town/urban dwellers were found to have significantly higher body weight, fasting glucose, insulin levels, and insulin resistance than rural dwellers, whereas triglycerides levels were similar. Town/Urban dwellers had shorter sleep duration (p< .01) and later sleep onset and offset times (p= .01). Our findings show an association between stage of urbanization and presence of risk factors for metabolic disorders, such as overweight, insulin resistance, increased glucose levels, short sleep duration, and less natural light exposure during work times.
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| 2. |
- Tiuganji, Natalia M., et al.
(författare)
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Eating Behavior (Duration, Content, and Timing) Among Workers Living under Different Levels of Urbanization
- 2020
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Ingår i: Nutrients. - : MDPI AG. - 2072-6643. ; 12:2
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Tidskriftsartikel (refereegranskat)abstract
- Urbanization has contributed to extended wakefulness, which may in turn be associated with eating over a longer period. Here, we present a field study conducted in four groups with different work hours and places of living in order to investigate eating behavior (duration, content, and timing). Anthropometric measures were taken from the participants (rural (n = 22); town (n = 19); city-day workers (n = 11); city-night workers (n = 14)). In addition, a sociodemographic questionnaire was self-answered and 24-h food recalls were applied for three days. The 24-h food recalls revealed that fat intake varied according to the groups, with the highest consumption by the city-day workers. By contrast, city-day workers had the lowest intake of carbohydrate, whereas the rural group had the highest. In general, all groups had some degree of inadequacy in food consumption. Eating duration was negatively correlated with total energy intake, fat, and protein consumption in the rural and town groups. There was a positive correlation between body mass index and eating duration in both city groups. The rural group had the earliest start time of eating, and this was associated with a lower body mass index. This study suggested that food content and timing, as well as eating duration, differed according to place of living, which in turn may be linked to lifestyle.
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| 3. |
- Crispim, Cibele A., et al.
(författare)
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Is time of eating associated with BMI and obesity? A population-based study
- 2024
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Ingår i: European Journal of Nutrition. - 1436-6207 .- 1436-6215. ; 63:2, s. 527-537
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Tidskriftsartikel (refereegranskat)abstract
- Purpose Time-related eating patterns have been associated with metabolic and nutritional diseases such as obesity. However, there is a lack of representative studies on this subject. This study's aim was to assess the association between the timing of eating and obesity in a large and representative sample of the Brazilian adult population (POF 2008–2009 survey).Methods Two days of adults’ food diary (n = 21,020) were used to estimate tertiles of first and last meal intake times, eating midpoint, caloric midpoint time, and calories consumed from 18:00 h onwards. BMI was estimated and its values, as well as excess weight (BMI ≥ 25 kg/m2) and obesity (BMI ≥ 30 kg/m2) were used as outcomes. Multiple linear and logistic regressions were performed.Results The first (β = 0.65, 95% CI 0.37–0.93) and last food intake time (β = 0.40, 95% CI 0.14–0.66), eating midpoint (β = 0.61, 95% CI 0.34–0.88) and calories consumed after 21:00 h (β = 0.74, 95% CI 0.32–1.16) and 22:00 h (β = 0.75, 95% CI 0.18–1.32) were positively associated with BMI. The likelihood of having excess weight or obesity was significantly higher in the third tertile of the first food intake time (OR = 1.28, 95% CI 1.13–1.45 and OR = 1.34, 95% CI 1.13–1.58, respectively), last food intake time (OR = 1.16, 95% CI 1.03–1.32; and OR = 1.18, 95% CI 1.00–1.41, respectively), eating midpoint (OR = 1.28, 95% CI 1.13–1.45; and OR = 1.35, 95% CI 1.14–1.59, respectively) and energy consumption after 21:00 h (OR = 1.33, 95% CI 1.10–1.59).Conclusion Chrononutrition meal patterns indicative of late meal intake were significantly associated with high BMI, excess weight and obesity in the Brazilian population.
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| 4. |
- Hammad, Grégory, et al.
(författare)
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Open-source python module for the analysis of personalized light exposure data from wearable light loggers and dosimeters
- 2024
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Ingår i: LEUKOS The Journal of the Illuminating Engineering Society of North America. - : Taylor & Francis. - 1550-2724 .- 1550-2716.
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Tidskriftsartikel (refereegranskat)abstract
- Light exposure fundamentally influences human physiology and behavior, with light being the most important zeitgeber of the circadian system. Throughout the day, people are exposed to various scenes differing in light level, spectral composition and spatio-temporal properties. Personalized light exposure can be measured through wearable light loggers and dosimeters, including wrist-worn actimeters containing light sensors, yielding time series of an individual’s light exposure. There is growing interest in relating light exposure patterns to health outcomes, requiring analytic techniques to summarize light exposure properties. Building on the previously published Python-based pyActigraphy module, here we introduce the module pyLight. This module allows users to extract light exposure data recordings from a wide range of devices. It also includes software tools to clean and filter the data, and to compute common metrics for quantifying and visualizing light exposure data. For this tutorial, we demonstrate the use of pyLight in one example dataset with the following processing steps: (1) loading, accessing and visual inspection of a publicly available dataset, (2) truncation, masking, filtering and binarization of the dataset, (3) calculation of summary metrics, including time above threshold (TAT) and mean light timing above threshold (MLiT). The pyLight module paves the way for open-source, large-scale automated analyses of light-exposure data.
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| 5. |
- Marqueze, Elaine C., et al.
(författare)
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Exogenous melatonin decreases circadian misalignment and body weight among early types
- 2021
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Ingår i: Journal of Pineal Research. - : Wiley. - 0742-3098 .- 1600-079X. ; 71:2
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Tidskriftsartikel (refereegranskat)abstract
- Shift workers experience chronic circadian misalignment, which can manifest itself in reduced melatonin production, and has been associated with metabolic disorders. In addition, chronotype modulates the effect of night shift work, with early types presenting greater circadian misalignment when working night shift as compared to late types. Melatonin supplementation has shown positive results reducing weight gain in animal models, but the effect of exogenous melatonin in humans on body weight in the context of shift work remains inconsistent. The aim of this study was thus to evaluate the effects of exogenous melatonin on circadian misalignment and body weight among overweight night shift workers, according to chronotype, under real-life conditions. We conducted a double-blind, randomized, placebo-controlled, crossover trial where melatonin (3 mg) or placebo was administered on non-night shift nights for 12 weeks in 27 female nurses (37.1 yo, +/- 5.9 yo; BMI 29.9 kg/m(2), +/- 3.3 kg/m(2)). Melatonin (or placebo) was only taken on nights when the participants did not work night shifts, that is, on nights when they slept (between night shifts and on days off). Composite Phase Deviations (CPD) of actigraphy-based mid-sleep timing were calculated to measure circadian misalignment. The analyses were performed for the whole group and by chronotype. We found approximately 20% reduction in circadian misalignment after exogenous melatonin administration considering all chronotypes. Moreover, melatonin supplementation in those who presented high circadian misalignment, as observed in early chronotypes, reduced body weight, BMI, waist circumference, and hip circumference, without any change in the participants' calorie intake or physical activity levels.
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| 6. |
- Munch, Mirjam, et al.
(författare)
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The Role of Daylight for Humans : Gaps in Current Knowledge
- 2020
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Ingår i: Clocks & Sleep. - : MDPI. - 2624-5175. ; 2:1, s. 61-85
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Forskningsöversikt (refereegranskat)abstract
- Daylight stems solely from direct, scattered and reflected sunlight, and undergoes dynamic changes in irradiance and spectral power composition due to latitude, time of day, time of year and the nature of the physical environment (reflections, buildings and vegetation). Humans and their ancestors evolved under these natural day/night cycles over millions of years. Electric light, a relatively recent invention, interacts and competes with the natural light-dark cycle to impact human biology. What are the consequences of living in industrialised urban areas with much less daylight and more use of electric light, throughout the day (and at night), on general health and quality of life? In this workshop report, we have classified key gaps of knowledge in daylight research into three main groups: (I) uncertainty as to daylight quantity and quality needed for "optimal" physiological and psychological functioning, (II) lack of consensus on practical measurement and assessment methods and tools for monitoring real (day) light exposure across multiple time scales, and (III) insufficient integration and exchange of daylight knowledge bases from different disciplines. Crucial short and long-term objectives to fill these gaps are proposed.
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