Evaluation of Dietary and Alcohol Drinking Patterns in Patients with Excess Body Weight in a Spanish Cohort: Impact on Cardiometabolic Risk Factors
-
Published:2023-11-17
Issue:22
Volume:15
Page:4824
-
ISSN:2072-6643
-
Container-title:Nutrients
-
language:en
-
Short-container-title:Nutrients
Author:
Aguas-Ayesa Maite12, Yárnoz-Esquiroz Patricia123ORCID, Olazarán Laura123, Perdomo Carolina M.12, García-Goñi Marta1ORCID, Andrada Patricia1, Escalada Javier1ORCID, Silva Camilo123, Marcos Ascensión4, Frühbeck Gema123ORCID
Affiliation:
1. Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, 31008 Pamplona, Spain 2. CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 31008 Pamplona, Spain 3. Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain 4. Immunonutrition Research Group, Department of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN)—CSIC, 28040 Madrid, Spain
Abstract
Unhealthy dietary habits and sedentarism coexist with a rising incidence of excess weight and associated comorbidities. We aimed to analyze the dietary and drinking patterns of patients with excess weight, their main characteristics, plausible gender differences and impact on cardiometabolic risk factors, with a particular focus on the potential contribution of beer consumption. Data from 200 consecutive volunteers (38 ± 12 years; 72% females) living with overweight or class I obesity attending the obesity unit to lose weight were studied. Food frequency questionnaires and 24 h recalls were used. Reduced-rank regression (RRR) analysis was applied to identify dietary patterns (DPs). Anthropometry, total and visceral fat, indirect calorimetry, physical activity level, comorbidities and circulating cardiometabolic risk factors were assessed. Study participants showed high waist circumference, adiposity, insulin resistance, dyslipidemia, pro-inflammatory adipokines and low anti-inflammatory factors like adiponectin and interleukin-4. A low-fiber, high-fat, energy-dense DP was observed. BMI showed a statistically significant (p < 0.05) correlation with energy density (r = 0.80) as well as percentage of energy derived from fat (r = 0.61). Excess weight was associated with a DP low in vegetables, legumes and whole grains at the same time as being high in sweets, sugar-sweetened beverages, fat spreads, and processed meats. RRR analysis identified a DP characterized by high energy density and saturated fat exhibiting negative loadings (>−0.30) for green leafy vegetables, legumes, and fruits at the same time as showing positive factor loadings (>0.30) for processed foods, fat spreads, sugar-sweetened beverages, and sweets. Interestingly, for both women and men, wine represented globally the main source of total alcohol intake (p < 0.05) as compared to beer and distillates. Beer consumption cannot be blamed as the main culprit of excess weight. Capturing the DP provides more clinically relevant and useful information. The focus on consumption of single nutrients does not resemble real-world intake behaviors.
Funder
Centro de Información Cerveza y Salud Spanish Institute of Health ISCIII CIBEROBN
Subject
Food Science,Nutrition and Dietetics
Reference82 articles.
1. Control of body weight: A physiologic and transgenic perspective;Diabetologia,2003 2. NCD Risk Factor Collaboration (NCD-RisC) (2017). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: A pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet, 390, 2627–2642. 3. GBD 2017 Diet Collaborators (2019). Health effects of dietary risks in 195 countries, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet, 393, 1958–1972. 4. GBD 2019 Diseases & Injuries-Collaborators (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet, 396, 1204–1222. 5. Catalán, V., Avilés-Olmos, I., Rodríguez, A., Becerril, S., Fernández-Formoso, J.A., Kiortsis, D., Portincasa, P., Gómez-Ambrosi, J., and Frühbeck, G. (2022). Time to consider the “exposome hypothesis” in the development of the obesity pandemic. Nutrients, 14.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|