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Effects of gradual weight loss v. rapid weight loss on body composition and RMR: a systematic review and meta-analysis

Published online by Cambridge University Press:  24 June 2020

Damoon Ashtary-Larky
Affiliation:
Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, 61357-15794, Iran
Reza Bagheri
Affiliation:
Department of Exercise Physiology, University of Isfahan, Isfahan, 8174673441, Iran
Amir Abbasnezhad
Affiliation:
Nutritional Health Research Center, Lorestan University of Medical Sciences, Khorramabad, 6813833946, Iran
Grant M. Tinsley
Affiliation:
Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX 79409, USA
Meysam Alipour
Affiliation:
Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, 61357-15794, Iran
Alexei Wong
Affiliation:
Department of Health and Human Performance, Marymount University, Arlington, TX 22207, USA
Corresponding
E-mail address:

Abstract

This systematic review and meta-analysis compared the effects of different rates of weight loss (WL), but equivalent total WL, on body composition and RMR. Studies examining gradual v. rapid WL on body composition and RMR in participants with overweight/obesity published up to October 2019 were identified through PubMed, the Cochrane Library, Web of Science, Embase, Scopus and Ovid databases. Meta-analysis was carried out using a fixed or random effects model as appropriate. Although the magnitude of WL was similar (mean difference 0·03 kg, 95 % CI –0·65, 0·71), gradual WL promoted greater reductions in fat mass (FM) (–1 kg, 95 % CI –1·70, –0·29) and body fat percentage (BFP) (–0·83 %, 95 % CI –1·49, –0·17). Gradual WL significantly preserved RMR compared with rapid WL (407·48 kJ, 95 % CI 76·76, 118·01). However, there was no significant difference in waist and hip circumferences, waist:hip ratio and fat-free mass (FFM) between gradual and rapid WL. The present systematic review and meta-analysis indicates beneficial effects of gradual WL, as compared with rapid WL, on FM, BFP and RMR in individuals with overweight/obesity. However, FFM changes and anthropometric indices did not significantly differ following different rates of WL.

Type
Systematic Review and Meta-Analysis
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society

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References

Bagheri, R, Rashidlamir, A, Ashtary-Larky, D, et al. (2020) Does green tea extract enhance the anti-inflammatory effects of exercise on fat loss? Br J Clin Pharmacol 86, 753762.CrossRefGoogle ScholarPubMed
World Health Organization (2014) Global Status Report on Noncommunicable Diseases 2014. Geneva: World Health Organization.Google Scholar
Cabler, S, Agarwal, A, Flint, M, et al. (2010) Obesity: modern man’s fertility nemesis. Asian J Androl 12, 480.CrossRefGoogle ScholarPubMed
Adab, P, Pallan, M & Whincup, PH (2018) Is BMI the best measure of obesity? BMJ 360, k1274.CrossRefGoogle ScholarPubMed
Deurenberg, P, Deurenberg-Yap, M & Guricci, S (2002) Asians are different from Caucasians and from each other in their body mass index/body fat per cent relationship. Obes Rev 3, 141146.CrossRefGoogle ScholarPubMed
Deurenberg-Yap, M, Schmidt, G, van Staveren, WA, et al. (2000) The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore. Int J Obes 24, 1011.CrossRefGoogle ScholarPubMed
World Health Organization (2018) Obesity and overweight fact sheet. 2016. Department of Sustainable Development and Healthy Environments. http://www.searo.who.int/entity/noncommunicable_diseases/media/non_communicable_diseases_obesity_fs.pdf (accessed June 2020).Google Scholar
Ashtary-Larky, D, Daneghian, S, Alipour, M, et al. (2018) Waist circumference to height ratio: better correlation with fat mass than other anthropometric indices during dietary weight loss in different rates. Int J Endocrinol Metab 16, e55023.CrossRefGoogle Scholar
Hall, KD (2007) Body fat and fat-free mass inter-relationships: Forbes’s theory revisited. Br J Nutr 97, 10591063.CrossRefGoogle ScholarPubMed
Jakicic, JM, Clark, K, Coleman, E, et al. (2001) Appropriate intervention strategies for weight loss and prevention of weight regain for adults. Med Sci Sports Exerc 33, 21452156.CrossRefGoogle ScholarPubMed
Freire, R (2020) Scientific evidence of diets for weight loss: different macronutrient composition, intermittent fasting, and popular diets. Nutrition 69, 110549.CrossRefGoogle ScholarPubMed
Yancy, WS, Olsen, MK, Guyton, JR, et al. (2004) A low-carbohydrate, ketogenic diet versus a low-fat diet to treat obesity and hyperlipidemia: a randomized, controlled trial. Ann Intern Med 140, 769777.CrossRefGoogle ScholarPubMed
Floegel, A & Pischon, T (2012) Low carbohydrate-high protein diets. BMJ 344, e3801.CrossRefGoogle Scholar
Hill, JO (2008) Can a small-changes approach help address the obesity epidemic? A report of the Joint Task Force of the American Society for Nutrition, Institute of Food Technologists, and International Food Information Council. Am J Clin Nutr 89, 477484.CrossRefGoogle ScholarPubMed
Lutes, LD, Winett, RA, Barger, SD, et al. (2008) Small changes in nutrition and physical activity promote weight loss and maintenance: 3-month evidence from the ASPIRE randomized trial. Ann Behav Med 35, 351357.CrossRefGoogle ScholarPubMed
Sbrocco, T, Nedegaard, RC, Stone, JM, et al. (1999) Behavioral choice treatment promotes continuing weight loss: preliminary results of a cognitive–behavioral decision-based treatment for obesity. J Consult Clin Psychol 67, 260.CrossRefGoogle ScholarPubMed
Astrup, A & Rössner, S (2000) Lessons from obesity management programmes: greater initial weight loss improves long-term maintenance. Obes Rev 1, 1719.CrossRefGoogle ScholarPubMed
Carels, RA, Cacciapaglia, HM, Douglass, OM, et al. (2003) The early identification of poor treatment outcome in a women’s weight loss program. Eat Behav 4, 265282.CrossRefGoogle Scholar
Elfhag, K & Rössner, S (2005) Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obes Rev 6, 6785.CrossRefGoogle ScholarPubMed
Nackers, LM, Ross, KM & Perri, MG (2010) The association between rate of initial weight loss and long-term success in obesity treatment: does slow and steady win the race? Int J Behav Med 17, 161167.CrossRefGoogle ScholarPubMed
Carpenter, WH, Poehlman, ET, O’Connell, M, et al. (1995) Influence of body composition and resting metabolic rate on variation in total energy expenditure: a meta-analysis. Am J Clin Nutr 61, 410.CrossRefGoogle ScholarPubMed
Ballor, DL & Poehlman, ET (1995) A meta-analysis of the effects of exercise and/or dietary restriction on resting metabolic rate. Eur J Appl Physiol Occup Physiol 71, 535542.CrossRefGoogle ScholarPubMed
Kiortsis, D, Durack, I & Turpin, G (1999) Effects of a low-calorie diet on resting metabolic rate and serum tri-iodothyronine levels in obese children. Eur J Pediatr 158, 446450.CrossRefGoogle ScholarPubMed
Astrup, A, Gøtzsche, PC, van de Werken, K, et al. (1999) Meta-analysis of resting metabolic rate in formerly obese subjects. Am J Clin Nutr 69, 11171122.CrossRefGoogle ScholarPubMed
Trexler, ET, Smith-Ryan, AE & Norton, LE (2014) Metabolic adaptation to weight loss: implications for the athlete. J Int Soc Sports Nutr 11, 7.CrossRefGoogle ScholarPubMed
Ashtary-Larky, D, Ghanavati, M, Lamuchi-Deli, N, et al. (2017) Rapid weight loss vs. slow weight loss: which is more effective on body composition and metabolic risk factors? Int J Endocrinol Metab 15, e13249.Google Scholar
Moher, D, Liberati, A, Tetzlaff, J, et al. (2010) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement Int J Surg 8, 336341.CrossRefGoogle ScholarPubMed
Brochu, M, Mathieu, ME, Karelis, AD, et al. (2008) Contribution of the lean body mass to insulin resistance in postmenopausal women with visceral obesity: a Monet study. Obesity 16, 10851093.CrossRefGoogle ScholarPubMed
Brochu, M, Tchernof, A, Turner, AN, et al. (2003) Is there a threshold of visceral fat loss that improves the metabolic profile in obese postmenopausal women? Metabolism 52, 599604.CrossRefGoogle Scholar
Higgins, JP, Altman, DG, Gøtzsche, PC, et al. (2011) The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ 343, d5928.CrossRefGoogle ScholarPubMed
Hintze, LJ, Goldfield, G, Seguin, R, et al. (2019) The rate of weight loss does not affect resting energy expenditure and appetite sensations differently in women living with overweight and obesity. Physiol Behav 199, 314321.CrossRefGoogle Scholar
Purcell, K, Sumithran, P, Prendergast, LA, et al. (2014) The effect of rate of weight loss on long-term weight management: a randomised controlled trial. Lancet Diabetes Endocrinol 2, 954962.CrossRefGoogle ScholarPubMed
Vink, RG, Roumans, NJ, Arkenbosch, LA, et al. (2016) The effect of rate of weight loss on long-term weight regain in adults with overweight and obesity. Obesity 24, 321327.CrossRefGoogle ScholarPubMed
Coutinho, SR, With, E, Rehfeld, JF, et al. (2018) The impact of rate of weight loss on body composition and compensatory mechanisms during weight reduction: a randomized control trial. Clin Nutr 37, 11541162.CrossRefGoogle ScholarPubMed
Sénéchal, M, Arguin, H, Bouchard, DR, et al. (2012) Effects of rapid or slow weight loss on body composition and metabolic risk factors in obese postmenopausal women. A pilot study. Appetite 58, 831834.CrossRefGoogle ScholarPubMed
Jackson, D & Turner, R (2017) Power analysis for random-effects meta-analysis. Res Synth Methods 8, 290302.CrossRefGoogle ScholarPubMed
Valentine, JC, Pigott, TD & Rothstein, HR (2010) How many studies do you need? A primer on statistical power for meta-analysis. J Educ Behav Stat 35, 215247.CrossRefGoogle Scholar
Lissner, L, Odell, PM, D’Agostino, RB, et al. (1991) Variability of body weight and health outcomes in the Framingham population. N Engl J Med 324, 18391844.CrossRefGoogle ScholarPubMed
Blair, SN, Shaten, J, Brownell, K, et al. (1993) Body weight change, all-cause mortality, and cause-specific mortality in the Multiple Risk Factor Intervention Trial. Ann Intern Med 119, 749757.CrossRefGoogle ScholarPubMed
Saito, Y, Takahashi, O, Arioka, H, et al. (2017) Associations between body fat variability and later onset of cardiovascular disease risk factors. PLOS ONE 12, e0175057.CrossRefGoogle ScholarPubMed
Tinsley, GM, Moore, ML, Dellinger, JR, et al. (2020) Digital anthropometry via three-dimensional optical scanning: evaluation of four commercially available systems. Eur J Clin Nutr 74, 10541064.CrossRefGoogle ScholarPubMed
Cava, E, Yeat, NC & Mittendorfer, B (2017) Preserving healthy muscle during weight loss. Adv Nutr 8, 511519.CrossRefGoogle ScholarPubMed
Gormsen, LC, Svart, M, Thomsen, HH, et al. (2017) Ketone body infusion with 3-hydroxybutyrate reduces myocardial glucose uptake and increases blood flow in humans: a Positron Emission Tomography Study. J Am Heart Assoc 6, e005066.CrossRefGoogle ScholarPubMed
Leino, RL, Gerhart, DZ, Duelli, R, et al. (2001) Diet-induced ketosis increases monocarboxylate transporter (MCT1) levels in rat brain. Neurochem Int 38, 519527.CrossRefGoogle ScholarPubMed
Gardner, CD, Trepanowski, JF, Del Gobbo, LC, et al. (2018) 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 319, 667679.CrossRefGoogle ScholarPubMed
Sackner-Bernstein, J, Kanter, D & Kaul, S (2015) Dietary intervention for overweight and obese adults: comparison of low-carbohydrate and low-fat diets. A meta-analysis. PLOS ONE 10, e0139817.CrossRefGoogle ScholarPubMed
Hession, M, Rolland, C, Kulkarni, U, et al. (2009) Systematic review of randomized controlled trials of low-carbohydrate vs. low-fat/low-calorie diets in the management of obesity and its comorbidities. Obes Rev 10, 3650.CrossRefGoogle ScholarPubMed
Tobias, DK, Chen, M, Manson, JE, et al. (2015) Effect of low-fat diet interventions versus other diet interventions on long-term weight change in adults: a systematic review and meta-analysis. Lancet Diabetes Endocrinol 3, 968979.CrossRefGoogle ScholarPubMed
Verreijen, AM, Verlaan, S, Engberink, MF, et al. (2014) A high whey protein-, leucine-, and vitamin D-enriched supplement preserves muscle mass during intentional weight loss in obese older adults: a double-blind randomized controlled trial. Am J Clin Nutr 101, 279286.CrossRefGoogle ScholarPubMed
Backx, E, Tieland, M, Borgonjen-van Den Berg, K, et al. (2016) Protein intake and lean body mass preservation during energy intake restriction in overweight older adults. Int J Obes 40, 299.CrossRefGoogle ScholarPubMed
Layman, DK, Evans, E, Baum, JI, et al. (2005) Dietary protein and exercise have additive effects on body composition during weight loss in adult women. J Nutr 135, 19031910.CrossRefGoogle ScholarPubMed
Layman, DK, Boileau, RA, Erickson, DJ, et al. (2003) A reduced ratio of dietary carbohydrate to protein improves body composition and blood lipid profiles during weight loss in adult women. J Nutr 133, 411417.CrossRefGoogle ScholarPubMed
Gill, LE, Bartels, SJ & Batsis, JA (2015) Weight management in older adults. Curr Obes Rep 4, 379388.CrossRefGoogle ScholarPubMed
Miller, S & Wolfe, RR (2008) The danger of weight loss in the elderly. J Nutr Health Aging 12, 487491.CrossRefGoogle ScholarPubMed
Cruz-Jentoft, AJ, Baeyens, JP, Bauer, JM, et al. (2010) Sarcopenia: European consensus on definition and diagnosis Report of the European Working Group on Sarcopenia in Older People. Age Ageing 39, 412423.CrossRefGoogle ScholarPubMed
Fielding, RA, Vellas, B, Evans, WJ, et al. (2011) Sarcopenia: an undiagnosed condition in older adults. Current consensus definition: prevalence, etiology, and consequences. International working group on sarcopenia. J Am Med Dir Assoc 12, 249256.CrossRefGoogle Scholar
Peos, JJ, Norton, LE, Helms, ER, et al. (2019) Intermittent dieting: theoretical considerations for the athlete. Sports 7, 22.CrossRefGoogle ScholarPubMed
Pasiakos, SM, Cao, JJ, Margolis, LM, et al. (2013) Effects of high-protein diets on fat-free mass and muscle protein synthesis following weight loss: a randomized controlled trial. FASEB J 27, 38373847.CrossRefGoogle ScholarPubMed
Church, DD, Gwin, JA, Wolfe, RR, et al. (2019) Mitigation of muscle loss in stressed physiology: military relevance. Nutrients 11, 1703.CrossRefGoogle ScholarPubMed
Garthe, I, Raastad, T, Refsnes, PE, et al. (2011) Effect of two different weight-loss rates on body composition and strength and power-related performance in elite athletes. Int J Sport Nutr Exerc Metab 21, 97104.CrossRefGoogle ScholarPubMed
Ritz, P, Salle, A, Audran, M, et al. (2007) Comparison of different methods to assess body composition of weight loss in obese and diabetic patients. Diabetes Res Clin Pract 77, 405411.CrossRefGoogle ScholarPubMed
Coxon, A, Kreitzman, S, Brodie, D, et al. (1989) Rapid weight loss and lean tissue: evidence for comparable body composition and metabolic rate in differing rates of weight loss. Int J Obes 13, 179181.Google ScholarPubMed
Martin, CK, Heilbronn, LK, De Jonge, L, et al. (2007) Effect of calorie restriction on resting metabolic rate and spontaneous physical activity. Obesity 15, 29642973.CrossRefGoogle ScholarPubMed
Heshka, S, Yang, M-U, Wang, J, et al. (1990) Weight loss and change in resting metabolic rate. Am J Clin Nutr 52, 981986.CrossRefGoogle ScholarPubMed
Müller, MJ, Enderle, J & Bosy-Westphal, A (2016) Changes in energy expenditure with weight gain and weight loss in humans. Curr Obes Rep 5, 413423.CrossRefGoogle ScholarPubMed
Browning, MG, Franco, RL, Cyrus, JC, et al. (2016) Changes in resting energy expenditure in relation to body weight and composition following gastric restriction: a systematic review. Obes Surg 26, 16071615.CrossRefGoogle ScholarPubMed
Bray, G (1969) Effect of caloric restriction on energy expenditure in obese patients. Lancet 294, 397398.CrossRefGoogle Scholar
Byrne, NM, Weinsier, RL, Hunter, GR, et al. (2003) Influence of distribution of lean body mass on resting metabolic rate after weight loss and weight regain: comparison of responses in white and black women. Am J Clin Nutr 77, 13681373.CrossRefGoogle ScholarPubMed
Siervo, M, Faber, P, Lara, J, et al. (2015) Imposed rate and extent of weight loss in obese men and adaptive changes in resting and total energy expenditure. Metabolism 64, 896904.CrossRefGoogle ScholarPubMed
Rosenbaum, M, Hirsch, J, Murphy, E, et al. (2000) Effects of changes in body weight on carbohydrate metabolism, catecholamine excretion, and thyroid function. Am J Clin Nutr 71, 14211432.CrossRefGoogle ScholarPubMed
McNeil, J, Schwartz, A, Rabasa-Lhoret, R, et al. (2015) Changes in leptin and peptide YY do not explain the greater-than-predicted decreases in resting energy expenditure after weight loss. J Clin Endocrinol Metab 100, E443E452.CrossRefGoogle Scholar
Park, H-K & Ahima, RS (2015) Physiology of leptin: energy homeostasis, neuroendocrine function and metabolism. Metabolism 64, 2434.CrossRefGoogle ScholarPubMed
Gardner, DF, Kaplan, MM, Stanley, CA, et al. (1979) Effect of tri-iodothyronine replacement on the metabolic and pituitary responses to starvation. N Engl J Med 300, 579584.CrossRefGoogle ScholarPubMed
Müller, M & Bosy-Westphal, A (2013) Adaptive thermogenesis with weight loss in humans. Obesity 21, 218228.CrossRefGoogle ScholarPubMed
Withers, R, Craig, N, Ball, C, et al. (1991) The Drinkwater-Ross anthropometric fractionation of body mass: comparison with measured body mass and densitometrically estimated fat and fat-free masses. J Sports Sci 9, 299311.CrossRefGoogle ScholarPubMed
Prado, CM & Heymsfield, SB (2014) Lean tissue imaging: a new era for nutritional assessment and intervention. J Parenter Enteral Nutr 38, 940953.CrossRefGoogle ScholarPubMed
Dhurandhar, NV, Schoeller, D, Brown, AW, et al. (2015) Energy balance measurement: when something is not better than nothing. Int J Obes 39, 11091113.CrossRefGoogle ScholarPubMed
Hintze, LJ, Messier, V, Lavoie, , et al. (2018) A one-year resistance training program following weight loss has no significant impact on body composition and energy expenditure in postmenopausal women living with overweight and obesity. Physiol Behav 189, 99106.CrossRefGoogle ScholarPubMed

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