A Couple’s Personalized-Care Intervention for Weight-Loss and Diabetes based on DNA and Gut Biome Profiles: A Case Study
Keywords:
Diabetes; Gut microbiome; Obesity; Diet; Physical exercise; Overweight; Body mass index (BMI); Couples; HypertensionAbstract
Introduction
The global prevalence of obesity has reached epidemic proportions. Given the negative strain that obesity and associated chronic
diseases, such as type 2 diabetes, put on the healthcare system and the economy, disease management has begun evolving to help
individuals change their behaviors. Obesity is often difficult to treat and even harder to maintain. Past studies have failed to show
weight loss maintenance over long periods after interventions. To overcome the complexity of obesity, a multifaceted precision care
treatment approach should be adopted.
Aim
The aim of this case study was to assess the health benefits and weight loss journey of a cohabiting Caucasian heterosexual married
couple using the Digbi Health personalized obesity management program. A personalized integrative nutrition plan is created based
on one’s genetic and gut microbiome obesity risk profile and incorporates daily digital tracking and lifestyle coaching. Never before
has a program offered personalized data including genetic, gut microbiome and lifestyle coaching to help people understand the best
plan to lose weight and keep it off long term.
Method
The male subject achieved a total change in weight loss of 15.94%, as well as a reduction in A1C and blood pressure levels and the
female subject achieved a 13.65% change in weight loss over a period of four months. The couple have still been able to maintain
their weight loss goals four months after completing the program, stating their individual and personalized approach gave them the
tools long-term to maintain.
Conclusion
A supportive environment for cohabiting couples following a personalized weight loss program based on their genetic and gut microbiome profile may help with weight loss and long-term maintenance.
References
Stephan P, Häring H-U, Shulze MB. Metabolically healthy obe-sity: the low-hanging fruit in obesity treatment? Lancet Diabetes En-docrinol. 2018; 6(3): 249-258. doi: 10.1016/S2213-8587(17)30292-9
Wing RR, Phelan S. Long-term weight loss maintenance. AM J Clin Nutr. 2005; 82: 222S-225S. doi: 10.1093/ajcn/82.1.222S
Centers for Disease Control and Prevention, Adult Obesity Causes and Consequences. Web site. https://www.cdc.gov/obe-sity/adult/causes.html. Accessed October 8, 2019.
Redinger RN. The pathophysiology of obesity and its clinical manifestations. Gastroenterol Hepatol (N Y). 2007; 3(11): 856-863.
Catoi AF, Vodnar DC, Corina A, et al. Gut microbiota, obesity and bariatric surgery: Current knowledge and future perspectives. Curr Pharm Des. 2019; 25(18): 2038-2050. doi: 10.2174/138161282 5666190708190437
Wolever RQ, Simmons LA, Sforzo GA, et al. A systematic re-view of the literature on health and wellness coaching: Defining a key behavioral intervention in healthcare. Glob Adv Health Med. 2013; 2(4): 38-57. doi: 10.7453/gahmj.2013.042
Arden-Close E, McGrath N. Health behaviour change interven-tions for couples: A systematic review. Br J Health Psychol. 2017; 22(2): 215-237. doi: 10.1111/bjhp.12227
World Health Organization (WHO). Obesity. Web site. https:// www.who.int/topics/obesity/en/. Accessed October 8, 2019.
National Heart, Lung, and Blood Institute. Assessing your Weight and Health Risk. Web site. https://www.nhlbi.nih.gov/ health/educational/lose_wt/risk.htm. Accessed October 8, 2019.
Centers for Disease Control and Prevention. Obesity and Overweight. Web site. https://www.cdc.gov/nchs/fastats/obesi-ty-overweight.htm. Accessed October 8, 2019.
The Nutrition Source. An Epidemic of Obesity: U.S. Obe-sity Trends. Web site. https://www.hsph.harvard.edu/nutrition-source/an-epidemic-of-obesity. Accessed October 8, 2019.
Martin CB, Herrick KA, Sarafrazi N, Ogden CL. Attempts to lose weight among adults in the United States, 2013-2016. NCHS Data Brief. 2018; (313): 1-8.
Conti CR. Obesity and weight loss. Eur Cardiol. 2018; 13(2): 93-94. doi: 10.15420/ecr.2018.13.2.EO1
Heianza Y, Qi L. Gene-diet interaction and precision nutrition in obesity. Int J Mol Sci. 2017; 18(4): 787. doi: 10.3390/ijms18040787
Sirisinha, S. The potential impact of gut microbiota on your health: Current status and future challenges. Asian Pac J Allergy Im-munol. 2016; 34: 249-264. doi: 10.12932/AP0803
MacLean PS, Blundell JE, Mennella JA, Batterham RL. Bio-logical control of appetite: A daunting complexity. Obesity (Silver Spring). 2017; 25 Suppl 1(Suppl 1): S8-S16. doi: 10.1002/oby.21771
Kumaniyka SK. Obesity in minority populations: An epidemio-logical assessment. Obes Res. 1994; 2(2): 166-182.
Jackson SE, Steptoe A, Wardle J. The influence of partner’s be-havior on health behavior change: The English Longitudinal Study of Ageing. JAMA Intern Med. 2015; 175(3): 385-392. doi: 10.1001/ jamainternmed.2014.7554
Perry B, Ciciurkaite G, Brady CF, Garcia J. Partner influence in diet and exercise behaviors: Testing behavior modeling, social con-trol, and normative body size. PLoS One. 2016; 11(12): e0169193. doi: 10.1371/journal.pone.0169193
Monden C. Partners in health? Exploring resemblance in health between partners in married and cohabiting couples. Sociol Health Illn. 2007; 29(3): 391-411. doi: 10.1111/j.1467-9566.2007.01003.x
Cobb LK, McAdams-DeMarco MA, Gudzune KA, et al. Changes in body mass index and obesity risk in married couples over 25 years: The ARIC cohort study. Am J Epidemiol. 2016; 183(5): 435-443. doi: 10.1093/aje/kwv112
Castaner O, Goday A, Park YM, et al. The gut microbiome pro-file in obesity: A systematic review. Int J Endocrinol. 2018; 4095789. doi: 10.1155/2018/4095789
Qi L. Personalized nutrition and obesity. Ann Med. 2014; 46(5): 247-252. doi: 10.3109/07853890.2014.891802
Mead MN. Nutrigenomics: The genome--food interface. En-Submit your article to this journal | https://openventio.org/submit-manuscript/ viron Health Perspect. 2007; 115(12): A582-A589. doi: 10.1289/ ehp.115-a582
Ahmed S, Zhou Z, Zhou J, Chen SQ. Pharmacogenomics of drug metabolizing enzymes and transporters: Relevance to preci-sion medicine. Genomics Proteomics Bioinformatics. 2016; 14(5): 298- 313. doi: 10.1016/j.gpb.2016.03.008
illumina. Nextera™ crude lysate protocol for metagenomic next-generation sequencing. Web site. https://www.illumina. com/content/dam/illumina-marketing/documents/products/ap-pnotes/nextera-dna-flex-crude-lysate-770-2018-006.pdf. Accessed October 8, 2019.
Jing G, Sun Z, Wang H, et al. Parallel-META 3: Comprehensive taxonomical and functional analysis platform for efficient com-parison of microbial communities. Nature Scientific Reports. 2017; 7: 40371. doi: 10.1038/srep40371
Lozupone CA, Stombaugh JI, Gordon JI, Jansson JK, Knight R. Diversity, stability and resilience of the human gut microbiota. Nature. 2012; 489(7415): 220-230. doi: 10.1038/nature11550
Cerdá B, Pérez M, Pérez-Santiago JD, et al. Gut microbiota modification: Another piece in the puzzle of the benefits of physical exercise in health? Front. Physiol. 2016; 7: 51. doi: 10.3389/ fphys.2016.00051
Kraschnewski JL, Boan J, Esposito J, et al. Long-term weight loss maintenance in the United States. Int J Obes (Lond). 2010; 34(11): 1644-1654. doi: 10.1038/ijo.2010.94
Montesi L, El Ghoch M, Brodosi L, Calugi S, Marchesini G, Grave RD. Long-term weight loss maintenance for obesity: a mul-tidisciplinary approach. Diabetes Metab Syndr Obes. 2016; 9: 37-46. doi: 10.2147/DMSO.S89836
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