scholarly journals 0271 Effects of Experimentally Shortened Sleep on Dietary Outcomes in Adolescents

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A103-A103
Author(s):  
K M Duraccio ◽  
K N Krietsch ◽  
D W Beebe
Keyword(s):  
Glycemic Index ◽  
Family Income ◽  
Sugar Content ◽  
Glycemic Load ◽  
Dietary Quality ◽  
Repeated Measure ◽  
Added Sugars ◽  
Main Effect ◽  
Sleep Condition ◽  
The Impact

Abstract Introduction Adolescents who sleep less may consume more calories during the day; however, shortened sleep may have greater impact on the dietary quality of foods, particularly foods high in sugar content. This study examined the impact of shortened sleep on total caloric intake, macronutrients of food (fats, proteins, carbohydrates), added sugars consumed, and glycemic load/index of foods consumed. Methods 110 adolescents (ages 14–17, M = 15.73(1.80); 63.6% female) underwent a within-subject counterbalanced experimental sleep manipulation, spending either 6.5 or 9.5 hours/night in bed for five nights. During each sleep period, adolescents completed three dietary recalls (reporting amounts and types of foods consumed over a 24-hour period) administered by dietary core study staff. We conducted a series of repeated-measure general linear models comparing averaged weekly dietary outcomes of interest by sleep condition. We also explored whether experimental order of the sleep conditions, family income, or adolescent gender, body mass index (BMI), or race moderated the main effects of sleep condition on dietary outcomes. Alpha was set at .05 for primary analyses and .01 for exploratory analyses. Results We observed a main effect of sleep on carbohydrates (p=.038) and added sugars (p=.009) consumed, as well as the glycemic index (p=.013) and glycemic load (p=.009) of foods consumed. We did not observe a main effect of sleep on total calories or total grams of fat or protein consumed. Exploratory analysis found no significant interactions of the moderators with sleep condition on dietary outcomes. Conclusion Adolescents are consuming more carbohydrates, added sugars, and foods higher in glycemic index and load when sleep restricted, compared to well-rested, despite eating comparable amounts of calories. Sleep restricted adolescents may be drawn to foods that provide quick releases of energy to counteract sleepiness experienced during the day. Support R01 HL120879

scholarly journals Relevance of the Glycemic Index and Glycemic Load for Body Weight, Diabetes, and Cardiovascular Disease

Nutrients ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1361 ◽  
Author(s):  
Sonia Vega-López ◽  
Bernard Venn ◽  
Joanne Slavin
Keyword(s):  
Cardiovascular Disease ◽  
Body Weight ◽  
Health Outcomes ◽  
Glycemic Index ◽  
Observational Studies ◽  
Intervention Studies ◽  
Disease Risk ◽  
Glycemic Load ◽  
Dietary Quality ◽  
The Relationship

Despite initial enthusiasm, the relationship between glycemic index (GI) and glycemic response (GR) and disease prevention remains unclear. This review examines evidence from randomized, controlled trials and observational studies in humans for short-term (e.g., satiety) and long-term (e.g., weight, cardiovascular disease, and type 2 diabetes) health effects associated with different types of GI diets. A systematic PubMed search was conducted of studies published between 2006 and 2018 with key words glycemic index, glycemic load, diabetes, cardiovascular disease, body weight, satiety, and obesity. Criteria for inclusion for observational studies and randomized intervention studies were set. The search yielded 445 articles, of which 73 met inclusion criteria. Results suggest an equivocal relationship between GI/GR and disease outcome. The strongest intervention studies typically find little relationship among GI/GR and physiological measures of disease risk. Even for observational studies, the relationship between GI/GR and disease outcomes is limited. Thus, it is unlikely that the GI of a food or diet is linked to disease risk or health outcomes. Other measures of dietary quality, such as fiber or whole grains may be more likely to predict health outcomes. Interest in food patterns as predictors of health benefits may be more fruitful for research to inform dietary guidance.

The drivers, trends and dietary impacts of non-nutritive sweeteners in the food supply: a narrative review

2020 ◽  
pp. 1-24
Author(s):  
Cherie Russell ◽  
Carley Grimes ◽  
Phillip Baker ◽  
Katherine Sievert ◽  
Mark A. Lawrence
Keyword(s):  
Food Supply ◽  
Sugar Content ◽  
Substitution Effects ◽  
Added Sugar ◽  
Environmental Interventions ◽  
Added Sugars ◽  
Product Categories ◽  
Nutrition Policies ◽  
The Impact ◽  
Whole Foods

Abstract Poor diets, including excess added sugar consumption, contribute to the global burden of disease. Subsequently, many nutrition policies have been implemented to reduce added sugar intake and improve population health, including taxes, education, labelling and environmental interventions. A potential consequence of these policy actions is the substitution of added sugars with non-nutritive sweeteners (NNS) in a variety of foods and beverages. NNS are used to reduce the energy and sugar content of foods and beverages while maintaining their palatability. Evidence of the toxicological risks of NNS is inconsistent, though concerns have been raised over the potential substitution effects of ultra-processed foods containing NNS for whole foods. This review aimed to provide an overview of current NNS food supply and consumption patterns, assess added sugar-reduction policies and their impact on NNS, and determine the impact of NNS on food choice, energy intake and diet quality. NNS are widely available in a variety of products, though most commonly in carbonated beverages, dairy products, confectionery, table-top sweeteners and fruit drinks. However, the longitudinal trends of different product categories, and differences between geographies and economy-income levels, require further study. Few studies have examined NNS consumption trends globally, though an increase in NNS consumption in beverages has been observed in some regions. Research examining how the increased availability of low-sugar, NNS-containing products affects global dietary patterns is limited, particularly in terms of their potential substitution effects.

132 Impact of Experimentally Shortened Sleep on Meal Timing in Adolescents

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A54-A54
Author(s):  
Kara Duraccio ◽  
Catharine Whitacre ◽  
Dean Beebe
Keyword(s):  
Family Income ◽  
Sleep Onset ◽  
Repeated Measure ◽  
Obesity Risk ◽  
Short Sleep ◽  
Sleep Timing ◽  
Meal Timing ◽  
Late Evening ◽  
The Impact ◽  
Daily Period

Abstract Introduction Short sleep increases the risk for obesity in adolescents. One potential mechanism relates to when eating occurs, rather than what or how much is eaten. This study investigated the impact of shortened sleep on meal timing and late evening eating in adolescents. Methods 93 healthy 14- to17-year-olds (62% female) completed a within-subject counterbalanced experimental sleep manipulation, engaging in shortened sleep (SS; 6.5 hours/night in bed) or healthy sleep (HS; 9.5 hours/night in bed), each for five nights, with order randomized. Sleep timing was verified through wrist-worn actigraphy. During each sleep period, adolescents completed 2-3 dietary recalls. Repeated-measure T-tests assessed the sleep manipulation effect on averaged times of the first and last eating episode, number of eating episodes after 8:00pm, and range of the daily eating period. Results Youth averaged 2.2 hours/night longer sleep during HS than SS (p<.001). The timing of the first eating episode was similar across conditions, relative to the clock (SS=08:51, HS=08:52) and to time since waking (SS=1.8hr, HS=1.9hr). The timing of the last eating episode averaged later on the clock during SS (20:34) than HS (19:38; p<.001), resulting in a longer eating period (SS=11.7hr, HS=10.8hr, p<.001). Youth averaged more eating episodes after 8:00pm during SS (0.87) than HS (0.59, p<.001). The gap between last eating episode and sleep onset was larger in SS (4.1hr) than HS (2.8hr; p<.001). Notably, on average, adolescents last eating episodes during SS (20:34) were earlier than sleep onset in either condition, and were even 2 hours earlier than when they fell asleep during HS (M=22:30). In exploratory analyses, these effects did not systematically vary by experimental order of the sleep conditions, family income, or participant age, sex, or norm-referenced body mass index. Conclusion Shortened sleep resulted in adolescents eating later and lengthening the daily period of time in which they ate, despite typically stopping eating well before sleep onset during healthy sleep. Late evening eating and long daily eating periods have been strongly associated with weight gain, which may help explain the link between shortened sleep and increased obesity risk in adolescents. Support (if any) R01HL120879

scholarly journals The Impact of Dietary Glycemic Index and Glycemic Load on Postprandial Lipid Kinetics, Dyslipidemia and Cardiovascular Risk

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2204 ◽  
Author(s):  
Vaia Lambadiari ◽  
Emmanouil Korakas ◽  
Vasilios Tsimihodimos
Keyword(s):  
Cardiovascular Disease ◽  
Glycemic Index ◽  
De Novo ◽  
Glycemic Load ◽  
Insulin Response ◽  
De Novo Lipogenesis ◽  
Atherogenic Dyslipidemia ◽  
Postprandial Lipid Metabolism ◽  
Postprandial Lipid ◽  
The Impact

Many recent studies have acknowledged postprandial hypetriglyceridemia as a distinct risk factor for cardiovascular disease. This dysmetabolic state is the result of the hepatic overproduction of very low-density lipoproteins (VLDLs) and intestinal secretion of chylomicrons (CMs), which leads to highly atherogenic particles and endothelial inflammation. Postprandial lipid metabolism does not only depend on consumed fat but also on the other classes of nutrients that a meal contains. Various mechanisms through which carbohydrates exacerbate lipidemia have been identified, especially for fructose, which stimulates de novo lipogenesis. Glycemic index and glycemic load, despite their intrinsic limitations, have been used as markers of the postprandial glucose and insulin response, and their association with metabolic health and cardiovascular events has been extensively studied with contradictory results. This review aims to discuss the importance and pathogenesis of postprandial hypertriglyceridemia and its association with cardiovascular disease. Then, we describe the mechanisms through which carbohydrates influence lipidemia and, through a brief presentation of the available clinical studies on glycemic index/glycemic load, we discuss the association of these indices with atherogenic dyslipidemia and address possible concerns and implications for everyday practice.

scholarly journals Predicting Glycemic Index and Glycemic Load from Macronutrients to Accelerate Development of Foods and Beverages with Lower Glucose Responses

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1172 ◽  
Author(s):  
Andreas Rytz ◽  
Dorothée Adeline ◽  
Kim-Anne Lê ◽  
Denise Tan ◽  
Lisa Lamothe ◽  
...  
Keyword(s):  
Glycemic Index ◽  
Glycemic Load ◽  
Lower Glucose ◽  
Accelerate Development ◽  
In Vivo Testing ◽  
Using Data ◽  
The Impact ◽  
Low Glycemic Index

Low glycemic index (GI) and/or low glycemic load (GL) are associated with decreased risks of type-2 diabetes and cardiovascular disease. It is therefore relevant to consider GI and GL in the early phases of the development of packaged foods and beverages. This paper proposes a model that predicts GI and GL from macronutrient composition, by quantifying both the impact of glycemic carbohydrates and the GI-lowering effects of nutrients such as proteins, fats and fibers. The precision of the model is illustrated using data on 42 breakfast cereals. The predictions of GI (r = 0.90, median residual = 2.0) and GL (r = 0.96, median residual = 0.40 g) compete well with the precision of the underlying in-vivo data (Standard Error SE = 3.5 for GI). This model can guide product development towards lowering GI and GL, before final confirmation by in vivo testing.

scholarly journals Can a Low-Cost Eye Tracker Assess the Impact of a Valent Stimulus? A Study Replicating the Visual Backward Masking Paradigm

2020 ◽  
Vol 32 (2) ◽  
pp. 132-141
Author(s):  
Dimitris D Vlastos ◽  
Markos Kyritsis ◽  
Vasiliki-Alexia Varela ◽  
Stephen R Gulliver ◽  
Afroditi Papaioannou-Spiroulia
Keyword(s):  
Pupil Size ◽  
Bayes Factor ◽  
Low Cost ◽  
Measurement Data ◽  
Repeated Measure ◽  
Eye Tracker ◽  
Backward Masking ◽  
Main Effect ◽  
Visual Backward Masking ◽  
The Impact

Abstract Capturing affective response to valent stimuli using eye tracking is of interest not only to academic research but also to commercial equipment developers (e.g. car dashboards). In order to investigate whether a low-cost eye tracker can effectively detect participants’ physiological response to negatively valent stimuli, 44 participants aged 19–24 (mean = 24.7, SD = 5.8) were recruited to complete the visual backward masking paradigm in a repeated-measure experimental design. Saccadic duration and pupil sizes were recorded using a lower-end 60-Hz tracker. Data was analysed using a mix of parametric and non-parametric tests. Our results suggest that valence in the form of fearful vs neutral faces has a significant main effect on both saccadic duration [V = 931, P < 0.001, d = 0.96] and pupil size [t(43) = 29.81, P < 0.001, d = 3.91)]. Our findings were further supported by Bayes factor analysis, which showed that saccadic duration data was 24 times more likely to occur, and pupil size measurement data was 89 times more likely, under the alternative hypothesis, showing that differences in valence had a main effect. The combined evidence produced by our Bayesian analysis, the large effect sizes of our frequentist analysis and the significant effect on two separate measurements lead us to suggest that, under the right conditions, low-cost eye trackers can successfully detect changes in saccadic duration and pupil sizes as a result of physiological responses to threat-relevant visual stimuli.

scholarly journals High glycemic index and glycemic load diets as risk factors for insomnia: analyses from the Women's Health Initiative

2019 ◽  
Vol 111 (2) ◽  
pp. 429-439 ◽  
Author(s):  
James E Gangwisch ◽  
Lauren Hale ◽  
Marie-Pierre St-Onge ◽  
Lydia Choi ◽  
Erin S LeBlanc ◽  
...  
Keyword(s):  
Postmenopausal Women ◽  
Dietary Fiber ◽  
Glycemic Index ◽  
Glycemic Load ◽  
Whole Grains ◽  
Refined Grains ◽  
Added Sugars ◽  
Lower Odds ◽  
Health Initiative ◽  
The Women’S Health Initiative

ABSTRACT Background Previous studies have shown mixed results on the association between carbohydrate intake and insomnia. However, any influence that refined carbohydrates have on risk of insomnia is likely commensurate with their relative contribution to the overall diet, so studies are needed that measure overall dietary glycemic index (GI), glycemic load, and intakes of specific types of carbohydrates. Objective We hypothesized that higher GI and glycemic load would be associated with greater odds of insomnia prevalence and incidence. Methods This was a prospective cohort study with postmenopausal women who participated in the Women's Health Initiative Observational Study, investigating the relations of GI, glycemic load, other carbohydrate measures (added sugars, starch, total carbohydrate), dietary fiber, and specific carbohydrate-containing foods (whole grains, nonwhole/refined grains, nonjuice fruits, vegetables, dairy products) with odds of insomnia at baseline (between 1994 and 1998; n = 77,860) and after 3 y of follow-up (between 1997 and 2001; n = 53,069). Results In cross-sectional and longitudinal analyses, higher dietary GI was associated with increasing odds of prevalent (fifth compared with first quintile OR: 1.11; CI: 1.05, 1.16; P-trend = 0.0014) and incident (fifth compared with first quintile OR: 1.16; CI: 1.08, 1.25; P-trend < 0.0001) insomnia in fully adjusted models. Higher intakes of dietary added sugars, starch, and nonwhole/refined grains were each associated with higher odds of incident insomnia. By contrast, higher nonjuice fruit and vegetable intakes were significantly associated with lower odds of incident insomnia. Also, higher intakes of dietary fiber, whole grains, nonjuice fruit, and vegetables were significantly associated with lower odds of prevalent insomnia. Conclusions The results suggest that high-GI diets could be a risk factor for insomnia in postmenopausal women. Substitution of high-GI foods with minimally processed, whole, fiber-rich carbohydrates should be evaluated as potential treatments of, and primary preventive measures for, insomnia in postmenopausal women.

scholarly journals Analysis of the impact of fortified food consumption on overall dietary quality in Irish adults

2008 ◽  
Vol 101 (3) ◽  
pp. 431-439 ◽  
Author(s):  
Triona Joyce ◽  
Evelyn M. Hannon ◽  
Mairead Kiely ◽  
Albert Flynn
Keyword(s):  
Food Consumption ◽  
Healthy Lifestyle ◽  
Saturated Fat ◽  
Dietary Quality ◽  
Food Diary ◽  
Total Carbohydrate ◽  
Added Sugars ◽  
The North ◽  
Fortified Food ◽  
The Impact

The aim of the present study was to assess the impact of fortified food (FF) consumption on overall dietary quality in Irish adults. Data for this analysis was based on the North/South Ireland Food Consumption Survey w7/15/2008hich used a 7 d food diary to collect food and beverage intake data in a representative sample of 1379 Irish adults (662 men and 717 women) aged 18–64 years. Foods contained in the database that are fortified were identified from the presence of vitamins and/or minerals in the ingredient list on the label. The results showed that an increased level of FF consumption was associated with lower intakes (percentage food energy) of total fat and saturated fat (women only) and higher intakes of total carbohydrate, total sugars (but not added sugars) and starch. Increased consumption was associated with a more micronutrient-dense diet and a reduced prevalence of dietary inadequacies of Ca, Fe, riboflavin and folate, particularly in women. Higher FF consumption was associated with higher intakes of fruit, lower intakes of alcohol and a lower likelihood of smoking in men and women. Thus it appears that FF consumption is a marker of both better dietary quality and healthy lifestyle behaviours.

scholarly journals The impact of the glycemic index and glycemic load of food products on human health

2014 ◽  
Vol 83 (2) ◽  
pp. 161-166
Author(s):  
Ewa Bator ◽  
Monika Bronkowska ◽  
Maciej Bienkiewicz ◽  
Jadwiga Biernat
Keyword(s):  
Cardiovascular Disease ◽  
Human Health ◽  
Chronic Diseases ◽  
Food Consumption ◽  
Glycemic Index ◽  
Glycemic Load ◽  
Food Products ◽  
Overweight And Obesity ◽  
The Impact

The supply of carbohydrates, contained in food products and meals, to the organism causes an increase of glucose in blood, which is referred as “glycemic effect”. The concentration of glucose in blood increases after eating each meal and usually reaches its maximum after 20–30 min after food consumption, and then is gradually reduced. It returns to the level of fasting within 1–2 hours. However this pattern shows some individual variation.The increase of interest of the glycemic index and glycemic load of food products came through the interconnection of these indicators of noncommunicable chronic diseases like diabetes, cardiovascular disease, cancer, overweight and obesity.

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