Food Preferences and Energy Intake During Academic Tasks Using Cycling Desks at Different Intensities in University Students

BackgroundThere is growing evidence that individuals with cardiovascular disease (CVD) are more likely to develop depression. The timing of food intake can significantly alter the body’s circadian rhythm and affect the occurrence of depression. Currently, it is unknown whether and how energy or macronutrient intake times are associated with depression in adults with CVD.ObjectiveTo evaluate dietary energy or macronutrient intake (across three meals) associations with depression in adults with CVD in a nationally representative sample.MethodsThe study population consisted of 3,490 U.S. adults with CVD (including 554 with depression) from the National Health and Nutrition Examination Survey 2003–2018. Energy and macronutrient intake was measured by a 24-h dietary recall, and depression was diagnosed by the Patient Health Questionnaire (PHQ-9, score ≥ 10). According to dietary energy or macronutrient intake across three meals, adults with CVD were divided into five groups. Logistic regression analysis was performed to examine associations between energy or macronutrient intake and depression after adjusting for a series of confounding factors, including age, gender, education level, household income, smoking status, drinking status, physical activity, marital status, skipping breakfast/lunch/dinner, total energy, carbohydrate, protein, dietary fiber, SFA, MUFA, and PUFA intake, T2DM and hypertension status, and BMI. Dietary substitution models were used to explore changes in depression risk when 5% dietary energy intake at dinner or lunch was substituted with energy intake at breakfast.ResultsWhen compared with participants in the lowest quintile of breakfast energy intake, those who received energy intake in the highest quintile at breakfast were associated with lower depression risk in those with CVD, and the adjusted odds ratio (OR) was 0.71 (95% CI, 0.51 to 0.91). When compared with participants in the lowest quintile of lunch or dinner energy intake, the risk of depression did not exhibit statistical significance when lunch or dinner energy intake was in the highest quintile, and the adjusted ORs were 1.08 (95% CI, 0.65 to 1.83) and 0.92 (95% CI, 0.62 to 1.37), respectively. Isocalorically replacing 5% of total energy at dinner or lunch with breakfast was associated with 5% (OR: 0.95, 95% CI 0.93 to 0.97) and 5% (OR: 0.95, 95% CI 0.93 to 0.96) lower risk of depression, respectively.ConclusionsHigh energy intake at breakfast may be associated with a lower risk of depression in those with CVD. We should focus on the potential role of breakfast energy intake in preventing the onset of depression.

Energy and macronutrient intake over the course of the day of German adults: A DEDIPAC-study

Two studies were conducted to investigate the effects of red pepper (capsaicin) on feeding behaviour and energy intake. In the first study, the effects of dietary red pepper added to high-fat (HF) and high-carbohydrate (HC) meals on subsequent energy and macronutrient intakes were examined in thirteen Japanese female subjects. After the ingestion of a standardized dinner on the previous evening, the subjects ate an experimental breakfast (1883 kJ) of one of the following four types: (1) HF; (2) HF and red pepper (10 g); (3) HC; (4) HC and red pepper. Ad libitum energy and macronutrient intakes were measured at lunch-time. The HC breakfast significantly reduced the desire to eat and hunger after breakfast. The addition of red pepper to the HC breakfast also significantly decreased the desire to eat and hunger before lunch. Differences in diet composition at breakfast time did not affect energy and macronutrient intakes at lunch-time. However, the addition of red pepper to the breakfast significantly decreased protein and fat intakes at lunch-time. In Study 2, the effects of a red-pepper appetizer on subsequent energy and macronutrient intakes were examined in ten Caucasian male subjects. After ingesting a standardized breakfast, the subjects took an experimental appetizer (644 kJ) at lunch-time of one of the following two types: (1) mixed diet and appetizer; (2) mixed diet and red-pepper (6 g) appetizer. The addition of red pepper to the appetizer significantly reduced the cumulative ad libitum energy and carbohydrate intakes during the rest of the lunch and in the snack served several hours later. Moreover, the power spectral analysis of heart rate revealed that this effect of red pepper was associated with an increase in the ratio sympathetic: parasympathetic nervous system activity. These results indicate that the ingestion of red pepper decreases appetite and subsequent protein and fat intakes in Japanese females and energy intake in Caucasian males. Moreover, this effect might be related to an increase in sympathetic nervous system activity in Caucasian males.

Short sleep duration and poor sleep quality are associated with higher energy intake and increased preference for sweet foods. The aim was to determine whether cognitive behaviour therapy for insomnia (CBTi) i) improved sleep duration and quality and ii) altered dietary behaviours and food preferences. Participants (sleep duration <7h; Pittsburgh Sleep Quality Index (PSQI)>5; BMI ≥25kgm-2) were randomised to 8 weeks of CBTi (n=14) or Control (n=13). Sleep characteristics, dietary intake (3-day food diaries), food cravings (Control of Eating Questionnaire), and explicit liking, explicit wanting, and implicit wanting of foods (Leeds Food Preference Questionnaire) were assessed pre- and post-intervention. Self-reported sleep duration increased by 49.2min more in the CBTi intervention compared with the Control group (+1.11±0.21h vs +0.29±0.30h, p=0.01), self-reported sleep quality (PSQI) improved more (-5.86±0.73 vs -0.62±0.92, p=0.00002), and daytime sleepiness (Epworth Sleepiness Scale) decreased more (-2.64±0.80 vs +1.54±0.66, p=0.00004) in the Intervention group. However, there were no differences accelerometer-measured sleep duration and sleep efficiency between groups. The Intervention group had greater increases in food craving control (+21.9±4.7mm vs -3.0±4.3mm, p=0.002), and greater reductions in craving for sweet (-16.4±6.0mm vs +3.3±4.2mm, p=0.01) and savoury (-15.0±3.0mm vs +0.8±4.8mm, p=0.003) foods. Implicit wanting of low-fat savoury foods increased (+12.3±3.2 vs -2.1±3.1, p=0.006) and implicit wanting of high-fat sweet foods decreased (-15.8±7.4 vs +9.8±4.4, p=0.001) more in the Intervention group. There was substantial under-reporting of dietary intake with 19 participants reporting energy intake <1.1 x basal metabolic rate. Amongst those with valid dietary measures, there were no significant differences in changes in energy or macronutrient intake between groups, but statistical power to detect effects was limited. In conclusion, this study demonstrates that a CBTi intervention leads to improvements in food craving control and changes in food preference. Future research is needed to determine whether this translates into differences in dietary intake.

Validation Studies of Diets of Children and Adolescents

Using an ad libitum buffet meal targeting direct behavior, the authors of the current study previously reported no effect of Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) surgery on food preferences 6 months after surgery. The current study investigated changes in food preferences at 18 months after surgery and whether changes in food preferences at 6 months predicted weight loss. Twenty food items separated into the following food categories were served at the buffet meal: high-fat, low-fat, sweet, savory, high-fat savory, high-fat sweet, low-fat savory, and low-fat sweet. Energy intake and intake from each of the food items were registered. Energy intake prior to the meal was standardized. Thirty-nine subjects completed visits before surgery and 18 months following RYGB (n = 29) and SG (n = 10) surgery. Energy intake decreased 41% (4,470 ± 209 kJ vs. 2,618 ± 209 kJ, P < 0.001), but no change occurred in relative energy intake from any of the food categories (all P ≥ 0.23), energy density (P = 0.20), or macronutrient intake (all P ≥ 0.28). However, changes in high-fat food intake, protein intake, energy intake, and energy density at 6 months predicted weight loss at 18 months (P ≤ 0.02). RYGB surgery and SG surgery do not affect food preferences. However, changes in food preferences seem to be predictive of weight loss.

Taste preferences guide food choices and dietary behaviours, yet few studies have shown a relationship between sweet and savoury taste preference and differences in dietary intakes or energy consumed from different “taste clusters”. We investigated differences in psycho-hedonic responses to sweet and savoury tastes and their association with energy intake, proportion of energy from macronutrients and energy intake from different “taste clusters”. In addition, we evaluated correspondence between two methods to classify “sweet-liker” status and the overlap between sweet and savoury taste preferences. Psycho-hedonic responses to sweet and savoury tastes of female participants (n = 66) were captured via staircase paired preference and the “sweet-liker phenotype” classification method. Quantitative dietary energy and macronutrient intakes were measured using three-day food diary, and the relative contributions of specific taste clusters to energy intake were derived for each participant. All participants completed anthropometric assessments measuring body mass index (BMI) and adiposity. Results showed no association between sweet and savoury preferences with dietary energy or macronutrient intakes, though there was a trend towards higher sweet food consumption among “sweet-likers”. A higher preference for savouriness was not associated with differences in daily energy intake, energy intake from protein, BMI or adiposity levels. There was little overlap in sweet and savoury preferences, suggesting a bi-modal split in taste preferences. “Sweet-likers” preferred a higher mean sucrose concentration than sweet “dislikers” (p < 0.001) indicating agreement between the two approaches. Future studies should consider comparing taste-liker differences using food choice tasks to address the current gap between taste preference measures and actual dietary behaviours.

The adipocyte-derived hormones leptin [which circulates in a free form and bound to a soluble leptin receptor (sOB-R)], adiponectin, and resistin play a key role in regulating energy homeostasis and metabolism. We assessed the association between body composition, total energy, and macronutrient intake and serum leptin, sOB-R, free leptin index, adiponectin, and resistin concentrations in 61 female and 53 male consecutively enrolled healthy Greek students. In this cross-sectional study, total energy and macronutrient intake were determined using 3-d food records. Body composition was assessed by bioelectrical impedance analysis; fasting blood samples were taken for the measurement of total leptin, sOB-R, adiponectin, and resistin; and the ratio leptin/sOB-R was used as an index of free leptin. Serum sOB-R concentrations were lower in the female subjects compared with the males (27.24 +/- 29.06 vs. 50.14 +/- 39.74 ng/ml, P < 0.001), whereas leptin, adiponectin, and resistin concentrations were significantly higher in females (leptin: 9.93 +/- 6.01 vs. 3.27 +/- 2.54 ng/ml, P < 0.001; adiponectin: 11.40 +/- 6.73 micro g/ml vs. 4.90 +/- 2.79 micro g/ml; P < 0.001; resistin: 16.86 +/- 5.39 ng/ml in females vs. 14.00 +/- 7.16 ng/ml in males, P < 0.02). Simple regression analysis showed that, in both genders, leptin, free leptin index, adiponectin, and resistin correlated positively with body fat mass and negatively with waist to hip ratio. sOB-R correlated negatively with body fat mass and positively with waist to hip ratio. Multiple regression analysis models controlling for gender, body fat, and total energy intake demonstrated that sOB-R is positively associated with energy intake from carbohydrates and negatively with energy intake from dietary fat, whereas free leptin index is negatively associated with energy intake from carbohydrates and positively with energy intake from dietary fat. No statistically significant correlations were observed between serum adiponectin or resistin concentrations and total energy or macronutrient intake. Thus, total energy intake and macronutrient composition of the diet are associated with sOB-R and free leptin index but do not play a role of comparable significance in predicting adiponectin and resistin concentrations in healthy young subjects.

Dietary and metabolic differences in pre- versus postmenopausal women taking or not taking hormone replacement therapy

It is unclear whether consumption of low-calorie beverages (LCB) leads to compensatory consumption of sweet foods, thus reducing benefits for weight control or diet quality. This analysis investigated associations between beverage consumption and energy intake and diet quality of adults in the UK National Diet and Nutrition Survey (NDNS) (2008–2011; n = 1590), classified into: (a) non-consumers of soft drinks (NC); (b) LCB consumers; (c) sugar-sweetened beverage (SSB) consumers; or (d) consumers of both beverages (BB), based on 4-day dietary records. Within-person data on beverage consumption on different days assessed the impact on energy intake. LCB consumers and NC consumed less energy and non-milk extrinsic sugars than other groups. Micronutrient intakes and food choices suggested higher dietary quality in NC/LCB consumers compared with SSB/BB consumers. Within individuals on different days, consumption of SSB, milk, juice, and alcohol were all associated with increased energy intake, while LCB and tea, coffee or water were associated with no change; or reduced energy intake when substituted for caloric beverages. Results indicate that NC and LCB consumers tend to have higher quality diets compared with SSB or BB consumers and do not compensate for sugar or energy deficits by consuming more sugary foods.

FTO polymorphisms moderate the association of food reinforcement with energy intake

Severe sleep restriction suppresses appetite independent of effects on appetite regulating hormones in healthy young men without obesity

The effects of regular physical activity on energy intake in obese adolescents are unknown. The objective is to determine how physical activity interventions affect energy and macronutrient intake in overweight/obese youth. Databases were searched from December 2014 to December 2015 for studies that measured energy and/or macronutrient consumption in response to physical activity intervention in overweight/obese youth. The review comprises primary source articles published in English in peer-reviewed journals. Articles that presented data on energy and/or macronutrient intake before and after a physical activity intervention (without dietary restriction) in overweight or obese children and teenagers (up to 18 years old) were included. Of the initial 307 references found, nine were included. The nine included studies analysed the effect of 15 different physical activity interventions. Nine showed a decrease and six unchanged energy intakes. The effect size for total energy intake ranged from -2.108 to -0.207 (n = 14). Results of the meta-analysis revealed a mean effect of physical intervention to reduce intake of -1.003 (95% confidence interval = -1.261 to -0.745, p < 0.001). Results for heterogeneity among these studies were I2 = 67.421; Q = 39.903; df = 13, p < 0.001. The mean energy intake reduction was -323 ± 286 kcal. Macronutrient intake was assessed in 11 interventions. Protein intake was found decreased in five (reduction of -26.8 ± 19.2 g), seven reported fat decrease (reduction of -26.4 ± 17.8 g) and five a decrease in CHO (reduction of -72.5 ± 22.8 g). The meta-analysis revealed significant decreases of each macronutrient (p < 0.001). Structured physical activity interventions favour decreased daily energy intake in obese adolescents.

ABSTRACTIntroduction: Epidemiological studies show that shift workers are at increased risk of cardiovascular diseases, metabolic dysfunction, diabetes, and obesity. Previous research has shown no difference in energy intake between night and day shifts only; however, it remains unclear whether other non-night shift patterns are different to night shift.Objectives: We investigated whether energy intake of night-shift workers differed from other shift patterns using calorimetry, food diary or food recall over 24-hour periods.Methods: A systematic review was conducted searching CINAHL, MEDLINE, Web of Science, Embase and PsycINFO databases for observational and interventional studies measuring energy intake in real or simulated shift work. Energy intake was extracted to compare night, day, afternoon/evening and rotating shift work cases.Results: After duplicate removal, we screened 1057 abstracts and 68 full-text articles were assessed for eligibility of which 15 studies met the inclusion criteria. All studies were cross-sectional and case–control designs in shift workers. Risk of bias assessment showed a low to moderate risk of bias in the majority of studies. There was no difference in energy intake between night-shift work and non-night shift patterns including early morning, day and afternoon/evening shifts. Night-shift workers did not favor particular macronutrients in comparison to other shift schedules.Conclusions: Energy and macronutrient intake were not detectably different in night shift compared to other shift patterns. Shift work patterns were heterogeneous which likely impacted on dietary assessment timings and computation of 24-h energy intake. Future studies should examine shift schedules with precise circadian timing of food consumption to determine if differences exist in energy and macronutrient intake between different shift patterns.

Acute exercise might not affect subsequent appetite responses to a fixed meal in adolescents with obesity: The SMASH exploratory study