Sugar-Sweetened Beverages and Genetic Risk of Obesity

Qi, Qibin; Chu, Audrey Y.; Kang, Jae H.; Jensen, Majken K.; Curhan, Gary C.; Pasquale, Louis R.; Ridker, Paul M.; Hunter, David J.; Willett, Walter C.; Rimm, Eric B.; Chasman, Daniel I.; Hu, Frank B.; Qi, Lu
October 2012
New England Journal of Medicine;10/11/2012, Vol. 367 Issue 15, p1387
Academic Journal
Background: Temporal increases in the consumption of sugar-sweetened beverages have paralleled the rise in obesity prevalence, but whether the intake of such beverages interacts with the genetic predisposition to adiposity is unknown. Methods: We analyzed the interaction between genetic predisposition and the intake of sugar-sweetened beverages in relation to body-mass index (BMI; the weight in kilograms divided by the square of the height in meters) and obesity risk in 6934 women from the Nurses' Health Study (NHS) and in 4423 men from the Health Professionals Follow-up Study (HPFS) and also in a replication cohort of 21,740 women from the Women's Genome Health Study (WGHS). The genetic-predisposition score was calculated on the basis of 32 BMI-associated loci. The intake of sugar-sweetened beverages was examined prospectively in relation to BMI. Results: In the NHS and HPFS cohorts, the genetic association with BMI was stronger among participants with higher intake of sugar-sweetened beverages than among those with lower intake. In the combined cohorts, the increases in BMI per increment of 10 risk alleles were 1.00 for an intake of less than one serving per month, 1.12 for one to four servings per month, 1.38 for two to six servings per week, and 1.78 for one or more servings per day (P<0.001 for interaction). For the same categories of intake, the relative risks of incident obesity per increment of 10 risk alleles were 1.19 (95% confidence interval [CI], 0.90 to 1.59), 1.67 (95% CI, 1.28 to 2.16), 1.58 (95% CI, 1.01 to 2.47), and 5.06 (95% CI, 1.66 to 15.5) (P=0.02 for interaction). In the WGHS cohort, the increases in BMI per increment of 10 risk alleles were 1.39, 1.64, 1.90, and 2.53 across the four categories of intake (P=0.001 for interaction); the relative risks for incident obesity were 1.40 (95% CI, 1.19 to 1.64), 1.50 (95% CI, 1.16 to 1.93), 1.54 (95% CI, 1.21 to 1.94), and 3.16 (95% CI, 2.03 to 4.92), respectively (P=0.007 for interaction). Conclusions: The genetic association with adiposity appeared to be more pronounced with greater intake of sugar-sweetened beverages. (Funded by the National Institutes of Health and others.)


Related Articles

  • BMI a Substantial Contributor to Rising Prevelance of Diabetes.  // Chain Drug Review;9/29/2014, Vol. 36 Issue 15, p74 

    The article reports on a study regarding the influence of body mass index (BMI) in the prevalence of obesity and diabetes.

  • Secular Trends of Obesity in Iran Between 1999 and 2007: National Surveys of Risk Factors of Non-Communicable Diseases. Alireza Esteghamati; Omid Khalilzadeh; Kazem Mohammad; Alipasha Meysamie; Armin Rashidi; Mandana Kamgar; Mehrshad Abbasi; Fereshteh Asgari; Mehrdad Haghazali // Metabolic Syndrome & Related Disorders;Jun2010, Vol. 8 Issue 3, p209 

    AbstractBackground:Obesity is a rapidly progressing pandemic and a central feature of the metabolic syndrome. There is no solid evidence on the recent trends of obesity in Iran. In this study we present the secular trends of overweight and obesity among Iranian adults (25–64 years old)...

  • Estudio IDEA (International Day for Evaluation of Abdominal Obesity): prevalencia de obesidad abdominal y factores de riesgo asociados en atención primaria en Colombia. Ruiz, Álvaro J.; Aschner, Pablo J.; Puerta, María Fernanda; Alfonso-Cristancho, Rafael // Biomédica: Revista del Instituto Nacional de Salud;dic2012, Vol. 32 Issue 4, p610 

    Introduction. Obesity is frequently associated with risk factors for cardiovascular and metabolic diseases. Central obesity is a marker of increased intra-abdominal adiposity and a known risk factor for atherosclerosis and diabetes; it is also a good predictor of risk for coronary events,...

  • Prevalence and determinants of overweight and obesity in the workers of Shiraz hospitals. Sahebi, R.; Sahebi, L. // Bangladesh Journal of Medical Science;Jul2014, Vol. 13 Issue 3, p260 

    Background: Obesity is one of the leading causes of morbidity and mortality that detection of its risk factors will lead to a reduction in its burden. Aim and objectives: The aim of this study was to estimate the prevalence of overweight and obesity and its determinants among Shiraz hospitals'...

  • Risk Factors for Obesity and Time Frame of Weight Gain in Non-Irradiated Survivors of Pediatric Acute Lymphoblastic Leukemia. Hassan, Maheen; Lin, Carol H.; Torno, Lilibeth // Journal of Cancer Therapy;Feb2013, Vol. 4 Issue 1, p124 

    Background: Obesity has been described among survivors of pediatric Acute Lymphoblastic Leukemia (ALL), especially those who have received cranial radiation. This study aims to evaluate the prevalence of overweight or obesity in pediatric ALL survivors who were not exposed to radiation, identify...

  • Obesity in Inflammatory Bowel Disease: A Marker of Less Severe Disease. Flores, Avegail; Burstein, Ezra; Cipher, Daisha; Feagins, Linda // Digestive Diseases & Sciences;Aug2015, Vol. 60 Issue 8, p2436 

    Background: Both obesity and inflammatory bowel disease (IBD) are highly prevalent in Western societies. IBD, including Crohn's disease (CD) and ulcerative colitis (UC), has been historically associated with cachexia and malnutrition. It is uncertain how obesity, a chronic pro-inflammatory...

  • Prevalence, Risk Factors, and Genetic Traits in Metabolically Healthy and Unhealthy Obese Individuals. Berezina, A.; Belyaeva, O.; Berkovich, O.; Baranova, E.; Karonova, T.; Bazhenova, E.; Brovin, D.; Grineva, E.; Shlyakhto, E. // BioMed Research International;10/4/2015, Vol. 2015, p1 

    Objective. To assess prevalence of metabolically healthy individuals among patients with abdominal obesity (AO) and to determine phenotype and potential genetic traits associated with a benign metabolic status. Methods. 503 AO patients without cardiovascular diseases were examined. Waist...

  • Prevalence and costs of obesity. Lobstein, Tim // Africa Health;Jul2015, Vol. 37 Issue 5, p24 

    Obesity has become a worldwide epidemic. Its prevalence among adults and, especially, children has risen dramatically in a single generation. A high prevalence affects nearly all affluent countries and is rapidly increasing among more affluent populations of poorer countries. The burden of ill...

  • The Association between Obesity and Colorectal Cancer. Whitlock, Kevin; Gill, Richdeep S.; Birch, Daniel W.; Karmali, Shahzeer // Gastroenterology Research & Practice;2012, p1 

    Obesity has become a major issue for healthcare providers as its prevalence continues to increase throughout the world. The literature suggests that increased body mass index (BMI) is associated with the development of certain cancers such as colorectal cancer (CRC). Consequently, CRC surgeons...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics