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Changes in ‘liking’ and ‘wanting’ for high fat, high sugar foods and impact on 24hr dietary intake following gastric bypass
- Tamsyn Redpath, Ruth Price, Graham Finlayson, Adele Boyd, Fathimath Naseer, Carel le Roux, Barbara Livingstone
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- Journal:
- Proceedings of the Nutrition Society / Volume 79 / Issue OCE2 / 2020
- Published online by Cambridge University Press:
- 10 June 2020, E362
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- Article
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Gastric bypass surgery (GB) is a successful treatment for obesity(1). Following the procedure, patients report changes in preference away from palatable high fat (HF), high sugar (HS) foods that may contribute to weight loss(2). The aim of this work is to examine the relationship between changes in reported ‘liking’ (hedonic) and ‘wanting’(motivation) for HF, HS food and 24hr dietary intake post-GB. 15 GB patients (BMI: 41.7 ± 11.54kg/m2, 73% female) and 15 time-matched controls (BMI: 25.08 ± 4.37 kg/m2, 73% female) were recruited as part of a larger residential study and observed for 3 days at each of 3 time points; 1-month pre-surgery, 3-months post-surgery and 1 yr post-surgery. Covert, objective assessment of 24hr dietary intake was on day 2 of each visit using weighed food records. Participants had ad-libitum access to foods pre-determined by food preference questionnaires and proportionally represented by 6 macronutrient groups (HF/HS, HF/high CHO, HF/high protein, low fat/HS, low fat/high CHO, low fat/high protein). ‘Liking’ and ‘wanting’ was measured using the Leeds Food Preference Questionnaire (LFPQ)(3), a validated measure that uses visual analogue scales to determine explicit liking and wanting for food. Implicit preferences are determined using response and reaction time in a forced-choice task. GB patients significantly reduced their overall energy intake (EI) from baseline to three months (-6.9 ± 8.1MJ/d p = > 0.001) and 1 yr post-surgery (-5.3 ± 7.5MJ/d, p = 0.01) compared to controls. At 3mths post-GB, there was no significant relationship between changes in preference for HS food and changes in %EI from sugar (R2 = 0.97, F(3,26) = 0.94 p = 0.44) or from HS foods (R2 = 0.87, F(3,26) = 0.83, p = 0.49). Changes in preferences for HF food at 3mths post-surgery were not significantly related to %EI from fat (R2 = 0.16, F(3,26) = 1.66, p = 0.2) or HF food (R2 = 0.18, F(3,26) = 0.16, p = 0.93). These associations remained at 1 yr post-surgery. In conclusion, previous observations based on self-reported food intake have found changes in preference for HF, HS food that may contribute to weight loss in GB. In contrast, our results show no significant relationship between changes in preference and changes in dietary intake post-surgery. Further research using direct, objective measures of dietary intake is needed to elucidate further changes in dietary intake post-GB.
Changes in Resting Energy Expenditure following Gastric Bypass Surgery: Impact on Total Body Weight.
- Fathimath Naseer, Ruth Price, Adele McElroy, Carel Le Roux, Tamsyn Redpath, Melanie Martin, Barbara Livingstone
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- Journal:
- Proceedings of the Nutrition Society / Volume 79 / Issue OCE2 / 2020
- Published online by Cambridge University Press:
- 10 June 2020, E497
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- Article
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- You have access Access
- Export citation
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Bariatric surgery, including Gastric Bypass (GBP) Surgery, is the most efficient modality to manage severe obesity. Resting Energy Expenditure (REE) is an area of interest in the context of weight loss (WL) as it has been postulated to be an independent predictor of WL success following GBP. As such, the aim of this study is to investigate the impact of REE on WL following GBP. 31 GBP patients (77.4% females BMI 45.5 ± 7.0kg/m2 ; 47.3 ± 11.6y) and 32 weight-stable controls (46.9% females; BMI 27.0 ± 4.6kg/m2 ; 41.1 ± 13.5y) were assessed at one-month pre-surgery and at 3 and 12-months post-surgery. Fat mass (FM) and fat-free mass (FFM) were measured using dual energy X-ray absorptiometry (Lunar iDXA, GE Healthcare). REE was measured under standardised conditions using indirect calorimetry (ECAL, Metabolic Health Solutions). Statistical analyses were performed with SPSS v24.0, Armonk, NY. Multiple regression analysis showed that FM (P = 0.001), FFM (P < 0.0001) and gender (P = 0.012) significantly predicted the interindividual variability in REE. Total body weight (TBW) was removed from the model due to collinearity. Adjusted-REE values were then generated using the above predictor variables. Low-REE and high-REE groups were created using within-group adjusted-REE split. At both follow-ups (3- and 12-months post-surgery), patients had a greater reduction in TBW, FM, FFM, measured-REE and adjusted-REE values compared with controls (P < 0.0001). There was also no significant difference between measured and adjusted-REE values at all time-points (P > 0.05). Patients with high REEs at baseline lost more TBW than those in the low-REE group at 3-months post-surgery (-24.9 ± 6.5 kg vs. -16.6 ± 7.0 kg; P = 0.005) and 12-months post-surgery (-41.3 ± 12.5 kg vs. -25.8 ± 10.4.0 kg; P = 0.003). There was no significant difference in mean TBW changes for controls in the low-and high-REE groups at both follow-ups. Patients with high REEs at 3-months post-surgery did not lose more TBW than those in the low-REE group at 12-months post-surgery (-30.1 ± 12.8 kg vs. -38.6 ± 14.4 kg; P = 0.155). Similarly, there was no difference in mean TBW reduction between controls in the low- and high-REE groups (P = 0.115). Thus while patients with a high adjusted-REE value at baseline (> 9746.6kJ/day) lost more weight at 3- and 12-months post-GBP, it is plausible that from the third to the 12th month post-surgery, other key drivers of weight loss, particularly the reduction in energy intake are more important in predicting WL. Further research with a larger sample size is required to increase the chances of detecting a true effect.