Randomized Controlled Lifestyle Intervention (LION) Study for Weight Loss and Maintenance in Adults With Obesity-Design and Methods

Anna Reik, Christina Holzapfel, Anna Reik, Christina Holzapfel

Abstract

Introduction: Due to the increasing prevalence of obesity, approaches for a more effective treatment especially in the long-term perspective are needed. However, studies on weight loss and maintenance show heterogeneous results with large inter-individual variations. Therefore, it is of interest to identify factors that contribute to inter-individual differences and predict the success of long-term weight management. Methods and Analysis: The primary outcome of the Lifestyle Intervention (LION) Study is to evaluate the effect of two diets (low carb vs. low fat) and two digital counseling tools (newsletter vs. mobile application) on weight maintenance 12 months after weight loss. The identification of predictive factors (e.g., genetic, epigenetic, physiological, psychological) for the success of weight loss and maintenance is a secondary outcome. Men and women with a body mass index (BMI) between 30.0 and 39.9 kg/m2, aged 18-65 years, and without severe diseases are considered eligible. After phenotyping (e.g., anthropometry, resting metabolic rate, meal challenges, blood parameters) participants will follow a formula-based, low-calorie diet (LCD) for 8 weeks. In addition, the intake of 200 g raw or cooked non-starchy vegetables are allowed per day. Subsequently, 252 participants will be randomized into one of the four intervention groups (low carb/app, low carb/newsletter, low fat/app, low fat/newsletter) for the 12-month weight maintenance step. The study will be concluded after another 12 months of follow-up. Results should provide indications for successful weight management and give insights into the personalized treatment of obesity. Ethics and Dissemination: This study has been granted ethical approval by the local Ethics Review Committee of the School of Medicine, Technical University of Munich (vote: 69/19 S). Trial Registration Number: This study has been registered within ClinicalTrials.gov (NCT04023942) and the German Clinical Trials Register (DRKS00017819).

Keywords: formula diet; lifestyle; low carb; low fat; mobile application (app); obesity; personalized nutrition; weight maintenance.

Copyright © 2020 Reik and Holzapfel.

Figures

Figure 1
Figure 1
Study design. Numbers indicate measurements performed during the corresponding visit. (1) Screening questionnaire, (2) anthropometry, (3) collection of biomaterial, (4) meal challenge, (5) questionnaires/protocols, (6) vital parameters, (7) resting metabolic rate, (8) magnetic resonance imaging (subgroup), (9) physical functional performance test (subgroup), (10) hand strength measurement, (11) continuous glucose measurement. * Randomization of the test meal and selected measures. The exact time point of measurements marked by a bracket is dependent of randomization.
Figure 2
Figure 2
(A) First randomization: meal challenges. After the telephone-based screening and before the first visit, the order of meal challenges as well as the type of lipid meal challenge will be randomized. Two meal challenges are carried out per participant (one during Visit V1A and one during Visit V1B). Oral glucose tolerance test (OGTT), oral glucose and lipid mixed meal challenge (OG+LTT), oral lipid tolerance test (OLTT). (B) Second randomization: weight maintenance intervention. After weight loss (during the Visit V2), participants are randomized to one of the four intervention groups. The second randomization is stratified according to the parameters of the first randomization. No results of the meal challenge tests (blood and other metabolic parameters) are considered for randomization.

References

    1. World Health Organization Global Status Report on Noncommunicable Diseases 2014. Geneva: World Health Organization; (2014).
    1. World Health Organization Obesity and Overweight. Available online at: (accessed January 07, 2020).
    1. Mensink GBM, Schienkiewitz A, Haftenberger M, Lampert T, Ziese T, Scheidt-Nave C. Overweight obesity in Germany: results of the German health interview and examination survey for adults (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. (2013) 56:786–94. 10.1007/s00103-012-1656-3
    1. Hjorth MF, Zohar Y, Hill JO, Astrup A. Personalized dietary management of overweight and obesity based on measures of insulin and glucose. Annu Rev Nutr. (2018) 38:245–72. 10.1146/annurev-nutr-082117-051606
    1. Hall KD, Kahan S. Maintenance of lost weight and long-term management of obesity. Med Clin North Am. (2018) 102:183–97. 10.1016/j.mcna.2017.08.012
    1. Celis-Morales C, Livingstone KM, Marsaux CFM, Macready AL, Fallaize R, O'Donovan CB, et al. . Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trial. Int J Epidemiol. (2016) 46:578–88. 10.1093/ije/dyw186
    1. Anderson JW, Konz EC, Frederich RC, Wood CL, Anderson JW, Konz EC, et al. . Long-term weight-loss maintenance: a meta-analysis of US studies. Am J Clin Nutr. (2001) 74:579–84. 10.1093/ajcn/74.5.579
    1. Gardner CD, Trepanowski JF, Del Gobbo LC, Hauser ME, Rigdon J, Ioannidis JPA, 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 // 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: the DIETFITS randomized clinical trial. J Am Med Assoc. (2018) 319:667–79. 10.1001/jama.2018.0245
    1. Shai I, Schwarzfuchs D, Henkin Y, Shahar DR, Witkow S, Greenberg I, et al. Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. N Engl J Med. (2008) 359:229–41. 10.1056/NEJMoa0708681
    1. Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, et al. . Personalized nutrition by prediction of glycemic responses. Cell. (2015) 163:1079–94. 10.1016/j.cell.2015.11.001
    1. Drabsch T, Holzapfel CA. Scientific perspective of personalised gene-based dietary recommendations for weight management. Nutrients. (2019) 11:617. 10.3390/nu11030617
    1. Huang T, Wang T, Heianza Y, Sun D, Ivey K, Durst R, et al. . HNF1A variant, energy-reduced diets and insulin resistance improvement during weight loss: the POUNDS lost trial and DIRECT. Diabetes Obes Metab. (2018) 20:1445–52. 10.1111/dom.13250
    1. Celis-Morales C, Marsaux CFM, Livingstone KM, Navas-Carretero S, San-Cristobal R, Fallaize R, et al. . Can genetic-based advice help you lose weight? Findings from the Food4Me European randomized controlled trial. Am J Clin Nutr. (2017) 105:1204–13. 10.3945/ajcn.116.145680
    1. Heianza Y, Sun D, Li X, DiDonato JA, Bray GA, Sacks FM, et al. . Gut microbiota metabolites, amino acid metabolites and improvements in insulin sensitivity and glucose metabolism: the POUNDS lost trial. Gut. (2018) 68:263–70. 10.2337/db18-297-OR
    1. Johnston BC, Kanters S, Bandayrel K, Wu P, Naji F, Siemieniuk RA, et al. . Comparison of weight loss among named diet programs in overweight and obese adults: a meta-analysis. JAMA. (2014) 312:923–33. 10.1001/jama.2014.10397
    1. Sacks FM, Bray GA, Carey VJ, Smith SR, Ryan DH, Anton SD, et al. . Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. N Engl J Med. (2009) 360:859–73. 10.1056/NEJMoa0804748
    1. Foster GD, Wyatt HR, Hill JO, Makris AP, Rosenbaum DL, Brill C, et al. . Weight and metabolic outcomes after 2 years on a low-carbohydrate versus low-fat diet. Ann Intern Med. (2010) 153:147–57. 10.7326/0003-4819-153-3-201008030-00005
    1. Foster GD, Wyatt HR, Hill JO, McGuckin BG, Brill C, Mohammed BS, et al. . A randomized trial of a low-carbohydrate diet for obesity. N Engl J Med. (2003) 348:2082–90. 10.1056/NEJMoa022207
    1. Svetkey LP, Stevens VJ, Brantley PJ, Appel LJ, Hollis JF, Loria CM, et al. . Comparison of strategies for sustaining weight loss: the weight loss maintenance randomized controlled trial. JAMA. (2008) 299:1139–48. 10.1001/jama.299.10.1139
    1. Thomas JG, Bond DS, Phelan S, Hill JO, Wing RR. Weight-loss maintenance for 10 years in the national weight control registry. Am J Prev Med. (2014) 46:17–23. 10.1016/j.amepre.2013.08.019
    1. European Commission. Guidance on the Management of Clinical Trials during the COVID-19 (Coronavirus) pandemic: Version 2 (27/03/2020). Available online at: (accessed March 30, 2020).
    1. Du Bois D, Du Bois EF. A formula to estimate the approximate surface area if height and weight be known 1916. Nutrition. (1989) 5:303–11.
    1. Swami V, Stieger S, Haubner T, Voracek M. German translation psychometric evaluation of the body appreciation scale. Body Image. (2008) 5:122–7. 10.1016/j.bodyim.2007.10.002
    1. Nagl M, Hilbert A, de Zwaan M, Braehler E, Kersting A. The German version of the dutch eating behavior questionnaire: psychometric properties, measurement invariance, population-based norms. PLoS ONE. (2016) 11:e0162510. 10.1371/journal.pone.0162510
    1. Hilbert A, Tuschen-Caffier B. Eating Disorder Examination-Questionnaire. Tübingen: Deutschsprachige Übersetzung.
    1. Kolotkin RL, Crosby RD, Kosloski KD, Williams GR. Development of a brief measure to assess quality of life in obesity. Obes Res. (2001) 9:102–11. 10.1038/oby.2001.13
    1. Vossbeck-Elsebusch AN, Waldorf M, Legenbauer T, Bauer A, Cordes M, Vocks S. German version of the multidimensional body-self relations questionnaire - appearance scales (MBSRQ-AS): confirmatory factor analysis and validation. Body Image. (2014) 11:191–200. 10.1016/j.bodyim.2014.02.002
    1. Meule A, Muller A, Gearhardt AN, Blechert J. German version of the yale food addiction scale 2.0: prevalence and correlates of 'food addiction' in students and obese individuals. Appetite. (2017) 115:54–61. 10.1016/j.appet.2016.10.003
    1. Schulte EM, Gearhardt AN. Development of the modified Yale food addiction scale version 2.0. Eur Eating Disord Rev. (2017) 25:302–8. 10.1002/erv.2515
    1. Löwe B, Gräfe K, Zipfel S, Witte S, Loerch B, Herzog W. Diagnosing ICD-10 depressive episodes: superior criterion validity of the patient health questionnaire. Psychother Psychosom. (2004) 73:386–90. 10.1159/000080393
    1. Löwe B, Spitzer RL, Williams JBW, Mussell M, Schellberg D, Kroenke K. Depression, anxiety and somatization in primary care: syndrome overlap and functional impairment. Gen Hosp Psychiatry. (2008) 30:191–9. 10.1016/j.genhosppsych.2008.01.001
    1. Schmidt S, Will N, Henn A, Reimers A, Woll A. Der Motorik-Modul Aktivitätsfragebogen MoMo-AFB. Karlsruhe: Leitfaden zur Anwendung und Auswertung: (2016)
    1. Schmidt SCE, Henn A, Albrecht C, Woll A. Physical activity of german children and adolescents 2003-2012: the momo-study. Int J Environ Res Public Health. (2017) 14:1375 10.3390/ijerph14111375
    1. Nöthlings U, Hoffmann K, Bergmann MM, Boeing H. Fitting portion sizes in a self-administered food frequency questionnaire. J Nutr. (2007) 137:2781–6. 10.1093/jn/137.12.2781
    1. Weir JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol. (1949) 109:1–9. 10.1113/jphysiol.1949.sp004363
    1. Alligier M, Barrès R, Blaak EE, Boirie Y, Bouwman J, Brunault P, et al. OBEDIS core variables project: European expert guidelines on a minimal core set of variables to include in randomized, controlled clinical trials of obesity interventions. Obes Facts. (2020) 13:1–28. 10.1159/000505342

Source: PubMed

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