Objective versus Self-Reported Energy Intake Changes During Low-Carbohydrate and Low-Fat Diets

Juen Guo, Jennifer L Robinson, Christopher D Gardner, Kevin D Hall, Juen Guo, Jennifer L Robinson, Christopher D Gardner, Kevin D Hall

Abstract

Objective: This study aimed to compare self-reported with objective measurements of energy intake changes (∆EI) during a 1-year weight-loss intervention with subjects randomized to low-carbohydrate versus low-fat diets.

Methods: Repeated body weight measurements were used as inputs to an objective mathematical model to calculate ∆EIModel and to compare with self-reported energy intake changes assessed by repeated 24-hour recalls (∆EIRecall ).

Results: ∆EIRecall indicated a relatively persistent state of calorie restriction of ~500 to 600 kcal/d at 3, 6, and 12 months with no significant differences between the diets. ∆EIModel demonstrated large early decreases in calorie intake > 800 kcal/d followed by an exponential return to ~100 kcal/d below baseline at the end of the year. Accounting for self-reported physical activities did not materially affect the results. Discrepancies between ∆EIModel and ∆EIRecall became progressively greater over time. The low-carbohydrate diet resulted in ∆EIModel that was 162 ± 53 kcal/d lower than the low-fat diet over the first 3 months (P = 0.002), but no significant diet differences were found thereafter.

Conclusions: Self-reported ∆EI measurements were inaccurate. Model-based calculations of ∆EI found that instructions to follow the low-carbohydrate diet resulted in greater calorie restriction than the low-fat diet in the early phases of the intervention, but these diet differences were not sustained.

Trial registration: ClinicalTrials.gov NCT01826591.

Conflict of interest statement

Conflict of interest disclosure statement: None of the authors have conflicts of interest

© 2019 The Obesity Society.

Figures

Figure 1.
Figure 1.
A) Mean body weight changes measured during the DIETFITS trial clinic visits (●) or self-reported by subjects at group counseling sessions (○) for all 414 subjects with complete clinic weight data. B) Mean self-reported energy intake changes (■) indicated a relatively persistent reduction in energy intake whereas the model-based measurements (○ from self-reported weights and ● from clinic weights) followed an exponential time course (solid curve). Error bars indicate 95% CI.
Figure 2.
Figure 2.
A) Mean body weight changes for the 209 subjects in the low-carbohydrate diet group (♦ clinic and ◊ self-reported) and B) the 205 subjects in the low-fat (▲clinic and Δ self-reported) diet group. C) Mean model-based measurements of energy intake changes in the low-carbohydrate diet group (▲ from clinic weights and Δ from self-reported weights ) and the low-fat diet group (◊ from self-reported weights and ♦ from clinic weights) both followed an exponential time courses (solid curve and dashed curve for low-carbohydrate and low-fat diets, respectively). * indicates p

Figure 3.

Individual weight changes at 12…

Figure 3.

Individual weight changes at 12 months for subjects assigned to the low-fat diet…

Figure 3.
Individual weight changes at 12 months for subjects assigned to the low-fat diet (left column) and low-carbohydrate diet (right column) were significantly correlated with model-calculated changes in energy intake averaged over A) 6–12 months; B) 3–6 months; and C) 0–3 months.
Figure 3.
Figure 3.
Individual weight changes at 12 months for subjects assigned to the low-fat diet (left column) and low-carbohydrate diet (right column) were significantly correlated with model-calculated changes in energy intake averaged over A) 6–12 months; B) 3–6 months; and C) 0–3 months.

References

    1. Schoeller DA. How accurate is self-reported dietary energy intake? Nutr Rev 1990;48: 373–379.
    1. Sanghvi A, Redman LA, Martin CK, Ravussin E, Hall KD. Validation of an inexpensive and accurate mathematical method to measure long-term changes in free-living energy intake. Am J Clin Nutr 2015;102: 353–358.
    1. Gardner CD, Trepanowski JF, Del Gobbo LC, et al. Effect of low-fat vs low-carbohydrate diet on 12-month weight loss in overweight adults and the association with genotype pattern or insulin secretion: The dietfits randomized clinical trial. JAMA 2018;319: 667–679.
    1. Stanton MV, Robinson JL, Kirkpatrick SM, Farzinkhou S, Avery EC, Rigdon J, et al. DIETFITS study (diet intervention examining the factors interacting with treatment success) - Study design and methods. Contemporary clinical trials 2017;53: 151–161.
    1. Sallis JF, Haskell WL, Wood PD, Fortmann SP, Rogers T, Blair SN, et al. Physical activity assessment methodology in the Five-City Project. American journal of epidemiology 1985;121: 91–106.
    1. Gibson AA, Seimon RV, Lee CM, Ayre J, Franklin J, Markovic TP, et al. Do ketogenic diets really suppress appetite? A systematic review and meta-analysis. Obes Rev 2015;16: 64–76.
    1. Rosenbaum M, Leibel RL. Adaptive thermogenesis in humans. Int J Obes (Lond) 2010;34 Suppl 1: S47–55.
    1. Hall KD, Sacks G, Chandramohan D, Chow CC, Wang YC, Gortmaker SL, et al. Quantification of the effect of energy imbalance on bodyweight. Lancet 2011;378: 826837.
    1. Franz MJ, VanWormer JJ, Crain AL, Boucher JL, Histon T, Caplan W, et al. Weight-loss outcomes: a systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up. J Am Diet Assoc 2007;107: 1755–1767.
    1. Gobel B, Sanghvi A, Hall KD. Quantifying energy intake changes during obesity pharmacotherapy. Obesity (Silver Spring) 2014;22: 2105–2108.
    1. Polidori D, Sanghvi A, Seeley RJ, Hall KD. How Strongly Does Appetite Counter Weight Loss? Quantification of the Feedback Control of Human Energy Intake. Obesity (Silver Spring) 2016;24: 2289–2295.
    1. Hall KD, Schoeller DA, Brown AW. Reducing Calories to Lose Weight. Jama 2018;319: 2336–2337.
    1. Racette SB, Das SK, Bhapkar M, Hadley EC, Roberts SB, Ravussin E, et al. Approaches for quantifying energy intake and %calorie restriction during calorie restriction interventions in humans: the multicenter CALERIE study. Am J Physiol Endocrinol Metab 2012;302: E441–448.
    1. Guo J, Brager DC, Hall KD. Simulating long-term human weight-loss dynamics in response to calorie restriction. Am J Clin Nutr 2018;107: 558–565.
    1. Ravussin E, Redman LM, Rochon J, Das SK, Fontana L, Kraus WE, et al. A 2-Year Randomized Controlled Trial of Human Caloric Restriction: Feasibility and Effects on Predictors of Health Span and Longevity. J Gerontol A Biol Sci Med Sci 2015;70: 10971104.

Source: PubMed

3
Abonnere