Effect of very low-carbohydrate high-fat diet and high-intensity interval training on mental health-related indicators in individuals with excessive weight or obesity
![Effect of very low-carbohydrate high-fat diet and high-intensity interval training on mental health-related indicators in individuals with excessive weight or obesity Effect of very low-carbohydrate high-fat diet and high-intensity interval training on mental health-related indicators in individuals with excessive weight or obesity](https://media.springernature.com/m685/springer-static/image/art:10.1038/s41598-024-79378-z/MediaObjects/41598_2024_79378_Fig1_HTML.png)
Kamiński, M., Skonieczna-Żydecka, K., Nowak, J. K. & Stachowska, E. Global and local diet popularity rankings, their secular trends, and seasonal variation in Google Trends data. Nutrition. 2020(79–80), 110759. (2020).
Google Scholar
Basile, A. Popularity of commercial and non-commercial diets from 2010–2020: A Google trends analysis. Curr Dev Nutr. 5(Supplement 2), 391. (2021).
Google Scholar
Brehm, B. J., Seeley, R. J., Daniels, S. R. & D’Alessio, D. A. A randomized trial comparing a very low carbohydrate diet and a calorie-restricted low fat diet on body weight and cardiovascular risk factors in healthy women. Journal of Clinical Endocrinology and Metabolism. 88(4), 1617–1623. (2003).
Google Scholar
Ludwig, D. S. et al. The carbohydrate-insulin model: a physiological perspective on the obesity pandemic. Am J Clin Nutr. 114(6), 1873–1885. (2021).
Google Scholar
Bueno, N. B., De Melo, I. S. V., De Oliveira, S. L. & Da Rocha Ataide, T. Very-low-carbohydrate ketogenic diet versus low-fat diet for long-term weight loss: A meta-analysis of randomised controlled trials. British Journal of Nutrition. 110(7), 1178–1187 (2013). https://doi.org/10.1017/S0007114513000548
Ludwig, D. S. The ketogenic diet: Evidence for optimism but high-quality research needed. J Nutr. 150(6), 1354–1359. (2020).
Google Scholar
Noakes, T. D. & Windt, J. Evidence that supports the prescription of low-carbohydrate high-fat diets: A narrative review. Br J Sports Med. 51, 133–139. (2017).
Google Scholar
Newsome, A. M., Reed, R., Sansone, J., Batrakoulis, A., McAvoy, C. W. & Parrott, M. 2024 ACSM worldwide fitness trends: Future directions of the health and fitness industry. ACSMs Health Fit J. 28(1), 14–26 (2024). https://doi.org/10.1249/FIT.0000000000000933
Keating, S. E., Johnson, N. A., Mielke, G. I. & Coombes, J. S. A systematic review and meta-analysis of interval training versus moderate-intensity continuous training on body adiposity. Obesity Reviews. 18(8), 943–964. (2017).
Google Scholar
Gunnarsson, T. P. & Bangsbo, J. The 10–20-30 training concept improves performance and health profile in moderately trained runners. J Appl Physiol. 113(1), 16–24. (2012).
Google Scholar
Bangsbo, J., Gunnarsson, T. P., Wendell, J., Nybo, L. & Thomassen, M. Reduced volume and increased training intensity elevate muscle Na+ – K+ pump α2-subunit expression as well as short- and long-term work capacityin humans. J Appl Physiol. 107(6), 1771–1780. (2009).
Google Scholar
Bayati, M., Farzad, B., Gharakhanlou, R. & Agha-alinejad, H. A practical model of low-volume high-intensity interval training induces performance and metabolic adaptations that resemble ‘ all-out ’ sprint interval training. J Sports Sci Med. 10(3), 571–576 (2011).
Google Scholar
Grace, F. et al. High intensity interval training (HIIT) improves resting blood pressure, metabolic ( MET ) capacity and heart rate reserve without compromising cardiac function in sedentary aging men. Exp Gerontol. 109, 75–81. (2018).
Google Scholar
John, A. T. et al. Effectiveness of high-intensity interval training and continuous moderate-intensity training on blood pressure in physically inactive pre-hypertensive young adults. J Cardiovasc Dev Dis. 9(8), 246. (2022).
Google Scholar
Stavrinou, P. S., Bogdanis, G. C., Giannaki, C. D., Terzis, G. & Hadjicharalambous, M. High-intensity interval training frequency: Cardiometabolic effects and quality of life. Int J Sports Med. 39(3), 210–217. (2018).
Google Scholar
Batrakoulis, A., Jamurtas, A. Z. & Fatouros, I. G. High-Intensity interval training in metabolic diseases. ACSMs Health Fit J. 25(5), 54–59. (2021).
Google Scholar
Batrakoulis, A. et al. Comparative efficacy of 5 exercise types on cardiometabolic health in overweight and obese adults: A systematic review and network meta-analysis of 81 randomized controlled trials. Circ Cardiovasc Qual Outcomes. 15(6), E008243. (2022).
Google Scholar
Hu, J., Wang, Z., Lei, B., Li, J. & Wang, R. Effects of a low-carbohydrate high-fat diet combined with high-intensity interval training on body composition and maximal oxygen uptake: A systematic review and meta-analysis. Int J Environ Res Public Health. 18(20), 10740. (2021).
Google Scholar
Hu, T. & Bazzano, L. A. The low-carbohydrate diet and cardiovascular risk factors: Evidence from epidemiologic studies. Nutrition, Metabolism and Cardiovascular Diseases. 24(4), 337–343. (2014).
Google Scholar
Donovan, G. O. et al. Changes in cardiorespiratory fitness and coronary heart disease risk factors following 24 wk of moderate- or high-intensity exercise of equal energy cost. J Appl Physiol. 98(5), 1619–1625. (2005).
Google Scholar
Sawyer, A., Cavalheri, V. & Hill, K. Effects of high intensity interval training on exercise capacity in people with chronic pulmonary conditions: A narrative review. BMC Sport Science, Medicine and Rehabilitation. 12(22), 1–10 (2020).
Cipryan, L. et al. Effects of a very low-carbohydrate high-fat diet and high-intensity interval training on visceral fat deposition and cardiorespiratory fitness in overfat individuals: A randomized controlled clinical trial. Front Nutr. 8, 785694. (2021).
Google Scholar
World Health Organization. Basic Documents: Forty-Ninth Edition (Including Amendments Adopted up to 31 May 2019). 49th ed. (2020).
Lasikiewicz, N., Myrissa, K., Hoyland, A. & Lawton, C. L. Psychological benefits of weight loss following behavioural and/or dietary weight loss interventions. A systematic research review. Appetite 72, 123–137. (2014).
Google Scholar
The Whoqol Group. The World Health Organization quality of life assessment (WHOQOL): Development and general psychometric properties. Soc Sci Med. 46(12), 1569–1585. (1998).
Google Scholar
Sitlinger, A. & Zafar, S. Y. Health-related quality of life: The impact on morbidity and mortality. Surg Oncol Clin N Am. 27(4), 675–684. (2018).
Google Scholar
Alhalel, N., Schueller, S. M. & O’Brien, M. J. Association of changes in mental health with weight loss during intensive lifestyle intervention: Does the timing matter?. Obes Sci Pract. 4(2), 153–158. (2018).
Google Scholar
Shepherd, S. O., Wilson, O. J. & Taylor, A. S. et al. Low-volume high-intensity interval training in a gym setting improves cardio-metabolic and psychological health. PLoS ONE 10(9), e0139056. (2015).
Batrakoulis, A. & Fatouros, I. G. Psychological adaptations to high-intensity interval training in overweight and obese adults: A topical review. Sports. 10(5), 64. (2022).
Google Scholar
Cipryan, L. et al. Very low-carbohydrate high-fat diet improves risk markers for cardiometabolic health more than exercise in men and women with overfat constitution: Secondary analysis of a randomized controlled clinical trial. Front Nutr. 9(May), 1–13. (2022).
Google Scholar
Cipryan, L. et al. A lipidomic and metabolomic signature of a very low-carbohydrate high-fat diet and high-intensity interval training: an additional analysis of a randomized controlled clinical trial. Metabolomics. 20(1), 10. (2023).
Google Scholar
Sindler, D., Kastovska, B., Dostal, T., Cipryan, L. & Elavsky, S. The effects of carbohydrate-restricted diet on psychological outcomes: A systematic review of randomized controlled trials. Nutr Rev. 82(2), 228–239. (2024).
Google Scholar
Bashan, I. & Toros, T. Effect of regular exercise on the life satisfaction and self-efficacy of the elderly obese. Progress in Nutrition. 23(4), e2021325. (2021).
Google Scholar
Rosa Guillamón, A., García Cantó, E., Pérez Soto, J. J. & Rodríguez García, P. L. Weight status, physical fitness and satisfaction with life among elementary school children. A pilot study. MHSALUD: Revista en Ciencias del Movimiento Humano y Salud. 13(2), 1659–1697. (2017).
Zayed, K. N., Ahmed, M. D., Van Niekerk, R. L. & Ho, W. K. Y. The mediating role of exercise behaviour on satisfaction with life, mental well-being and BMI among university employees. Cogent Psychol. 5(1), 1430716. (2018).
Wu, C. H., Chen, L. H. & Tsai, Y. M. Longitudinal invariance analysis of the satisfaction with life scale. Pers Individ Dif. 46(4), 396–401. (2009).
Google Scholar
Eather, N. et al. Efficacy and feasibility of HIIT training for university students: The Uni-HIIT RCT. J Sci Med Sport. 22(5), 596–601. (2019).
Google Scholar
Adams, S. C. et al. Effects of high-intensity interval training on fatigue and quality of life in testicular cancer survivors. Br J Cancer. 118(10), 1313–1321. (2018).
Google Scholar
Batrakoulis, A. et al. High-intensity interval neuromuscular training promotes exercise behavioral regulation, adherence and weight loss in inactive obese women. Eur J Sport Sci. 20(6), 783–792. (2020).
Google Scholar
Imayama, I. et al. Dietary weight loss and exercise interventions effects on quality of life in overweight/obese postmenopausal women: A randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity. 8(1), 118. (2011).
Google Scholar
Strahler, J., Wurst, R., Fuchs, R. & Wunsch, K. Joint associations of regular exercise and healthy diet with psychobiological stress reactivity in a healthy male sample. Stress. 24(6), 696–709. (2021).
Google Scholar
Cohen, C. W., Fontaine, K. R., Arend, R. C., Soleymani, T. & Gower, B. A. Favorable effects of a ketogenic diet on physical function, perceived energy, and food cravings in women with ovarian or endometrial cancer: A randomized, controlled trial. Nutrients. 10(9), 1187. (2018).
Google Scholar
Yancy, W. S. J. et al. Effects of two weight-loss diets on health-related quality of life. Quality of Life Research. 18(3), 281–289. (2009).
Google Scholar
McCambridge, J., Witton, J. & Elbourne, D. R. Systematic review of the Hawthorne effect: New concepts are needed to study research participation effects. J Clin Epidemiol. 67(3), 267–277. (2014).
Google Scholar
French, D. P. & Sutton, S. Reactivity of measurement in health psychology: How much of a problem is it? What can be done about it?. Br J Health Psychol. 15(3), 453–468. (2010).
Google Scholar
König, L. M., Allmeta, A., Christlein, N., Van Emmenis, M. & Sutton, S. A systematic review and meta-analysis of studies of reactivity to digital in-the-moment measurement of health behaviour. Health Psychol Rev. 16(4), 551–575. (2022).
Google Scholar
Capellan, J., Wilde, M. H. & Zhang, F. Measurement reactivity in a randomized clinical trial using self-reported data. Journal of Nursing Scholarship. 49(1), 111–119. (2017).
Google Scholar
French, D. P. et al. Reducing bias in trials due to reactions to measurement: experts produced recommendations informed by evidence. J Clin Epidemiol. 139, 130–139. (2021).
Google Scholar
Ehrman, J. K., Gordon, P. M., Visich, P. S. & Keteyian, S. J. eds. Clinical Exercise Physiology Fourth Edition. 4. Human Kinetics, Champaign, IL (2019).
Feinman, R. D. R. D. et al. Dietary carbohydrate restriction as the first approach in diabetes management: Critical review and evidence base. Nutrition. 31(1), 1–13. (2015).
Google Scholar
Ware, J. E. J., Kosinski, M. & Keller, S. D. A 12-item short-form health survey of scales and preliminary construction tests of reliability and validity. Med Care. 34(3), 220–233 (1996).
Google Scholar
Ware, J. E. J., Kosinski, M. & Keller, S. D. SF-12: How to score the SF-12 Physical and Mental Health Summary Scales. Vol 2. Second (1995).
Diener, E., Emmons, R. A., Larsen, R. J. & Griffin, S. The satisfaction with life scale. J Pers Assess. 49(1), 71–75. (1985).
Google Scholar
Cohen, S., Kamarck, T. & Mermelstein, R. A global measure of perceived stress Sheldon Cohen, Tom Kamarck and Robin Mermelstein Journal of Health and Social Behavior Vol. 24, No. 4 (Dec., 1983), pp. 385–396 (12 pages) Published By: American Sociological Association. Journal of Health and Social Behavior. 24(4), 385–396 (1983).
Tomczak, M. & Tomczak, E. The need to report effect size estimates revisited. An overview of some recommended measures of effect size. Trends Sport Sci. 1(21), 19–25 (2014).
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