Association of social jetlag experienced by young northerners with their appetite after having breakfast

Polugrudov, Artem; Popov, Sergey; Смирнов, В. В.; Panev, Alexander S.; Ascheulova, Ekaterina; Kuznetsova, E.S.; Tserne, Tatyana A.; Borisenkov, Mikhail F.

doi:10.1080/09291016.2017.1323391

Cited by 14 publications

(31 citation statements)

References 33 publications

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“…Finally, in their study, Bligh et al (21) investigated the satiating effect of two different types of Paleolithic meals compared with a reference meal. Three of the studies investigated the influence of sleep on SQ (20,29,31) : one examined the effect of sleep duration (20) , while another examined the timing (31) and a last one assessed the influence of the duration, quality and timing of sleep (29) . Two of the twenty-eight studies investigated acute medication interventions (23,26) and one assessed the effect of hormone infusions (24) .…”

Section: Methodsmentioning

confidence: 99%

“…Visual analogue scale. Regarding the type of VAS used, 79 % (n 23) of acute studies used the pen and paper method (6)(7)(8)11,13,14,20,22,24,(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)40,43) , 10 % (n 3) used electronic VAS (18,21,23) and three studies did not specify the type of scale used (15,19,25) . Of the twenty-three studies using pen and paper scales, fifteen used 100 mm scales (6,14,20,22,24,26,27,(30)(31)(32)(33)(34)(35)(36)43) , while eight used 150 mm scales (7,8,11,13,28,29,...…”

Section: Methodsmentioning

confidence: 99%

“…Albert et al (38) L N R L M L L Arguin et al (40) H NR NR M NR L Arguin et al (12) L N R N R M M L Au-Yeung et al (30) L NR NR M NR L Beaulieu et al (25) L N R N R M H L Beaulieu et al (59) L N R M M M L Bédard et al (49) H (58) L L NR M L L Carbonneau et al (52) L NR NR M NR L Caudwell et al (57) H (26) L L L M L N R Chaput et al (47) H (14) L NR NR M NR L Defries et al (22) L NR NR H NR L Drapeau et al (8) H N R L M N R L Drapeau et al (10) H N R M M L L Drapeau et al (13) H N R N R L H N R Drapeau et al (53) H N R N R M H L Dubé et al (7) L NR NR M NR L Felix et al (32) L NR NR M NR NR Felix et al (36) L NR NR M NR NR Fillon et al (39) L (33) M NR NR M NR NR Green et al (6) H NR NR M NR NR Halford et al (56) M L L M M L Hansen et al (18) L N R M M N R L Harrington et al (43) H N R N R M L N R Hintze et al (54) L N R N R M H L Hollingworth et al (15) L N R N R N R N R N R Hopkins et al (19) L NR NR M NR NR Jönsson et al (44) L N R N R H H N R Jönsson et al (55) L (34) L L L M M N R King et al (50) H (27) L N R N R M H L McNeil et al (29) H NR NR M NR L McNeil et al (9) H (20) L NR NR M NR L Rodríguez-Rodríguez et al (45) L N R H H L N R Salama et al (11) L (24) ...…”

Section: Methodsmentioning

confidence: 99%

“…Of the thirty-three acute studies, twenty-nine were conducted in adults (6)(7)(8)11,(13)(14)(15)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)40,43) and four in adolescents (38,39,41,42) .…”

Section: Acute Studiesmentioning

confidence: 99%

“…This equation was slightly reworked by Drapeau et al (10) , who used this equation but multiplied the result by 100. Fifteen studies used the equation proposed by Drapeau et al (7,8,13,14,(18)(19)(20)25,28,29,31,32,36,37,40) . While previous studies have used similar equations, others have calculated the SQ slightly differently.…”

Section: Calculation Of Satiety Quotientmentioning

confidence: 99%

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A systematic review of the use of the Satiety Quotient

et al. 2020

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Abstract The satiating efficiency of food has been increasingly quantified using the Satiety Quotient (SQ). The SQ integrates both the energy content of food ingested during a meal and the associated change in appetite sensations. This systematic review examines the available evidence regarding its methodological use and clinical utility. A literature search was conducted in 6 databases considering studies from 1900 to April 2020 that used SQ in adults, adolescents and children. All study designs were included. From the initial 495 references found, 52 were included. Of the studies included, 33 were acute studies (29 in adults and 4 in adolescents) and 19 were longitudinal studies in adults. A high methodological heterogeneity in the application of the SQ was observed between studies. Five main utilizations of the SQ were identified: its association with i) energy intake; ii) anthropometric variables; iii) energy expenditure/physical activity; iv) sleep quality and quantity; as well as v) to classify individuals by their satiety responsiveness (i.e. low and high satiety phenotypes). Altogether, the studies suggest the SQ as an interesting clinical tool regarding the satiety responsiveness to a meal and its changes in responses to weight loss in adults. The SQ might be a reliable clinical indicator in adults when it comes to both obesity prevention and treatment. There is a need for more standardized use of the SQ in addition to further studies to investigate its validity in different contexts and populations, especially among children and adolescents.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Acute Studiesmentioning

confidence: 99%

Section: Calculation Of Satiety Quotientmentioning

confidence: 99%

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A systematic review of the use of the Satiety Quotient

et al. 2020

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Food addiction and emotional eating are associated with intradaily rest–activity rhythm variability

et al. 2022

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Purpose: The aim of the present study was to study the associations among parameters characterizing eating behavior and actimetry-derived indices of circadian rhythm of motor activity.Methods: The study involved 81 participants (average age: 21.5 ± 9.6 y, women: 77.8%). Each study participant provided personal data, lled out the Yale Food Addiction Scale and the Dutch Eating Behavior Questionnaire, and wore a wrist actimeter for seven consecutive days to record motor activity. Using time series treatments, we obtained three cosinor-derived parametric-MESOR, amplitude, and acrophase-and four nonparametric indices-interdaily stability, intradaily variability (IV), most active 10-h period (M10), and least active 5-h period-characterizing the 24-h rhythm of motor activity. A multiple regression analysis adjusted for age, sex, and BMI was performed to assess the associations among the studied indicators.Results: It was shown that IV is a predictor of symptoms of food addiction (β = 0.242, P = 0.037) and emotional eating (β = 0.390, P = 0.004), MESOR is a predictor of symptoms of food addiction (β = 0.342, P = 0.003), and M10 predicts restraint (β = 0.257, P = 0.015) and emotional eating (β = 0.464, P = 0.001).Conclusion: It was shown for the rst time that an increase in symptom counts of food addiction is associated with an increase in the average level and fragmentation of 24-h rhythm of motor activity.

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