Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Dec 29:2022:7753259.
doi: 10.1155/2022/7753259. eCollection 2022.

The Association between Healthy Beverage Index and Healthy and Unhealthy Obesity Phenotypes among Obese Women: A Cross-Sectional Study

Affiliations

The Association between Healthy Beverage Index and Healthy and Unhealthy Obesity Phenotypes among Obese Women: A Cross-Sectional Study

Niloufar Rasaei et al. Int J Clin Pract. .

Abstract

Background: Metabolic phenotypes are new dimensions of obesity. Two important types of these phenotypes are metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO). Studies showed that the components of the healthy beverage index (HBI) such as sugar-sweetened beverages (SSBs), milk, and fruit juices might have an association with MHO and MUO phenotypes.

Methods: This cross-sectional study was performed on 210 women with the age range of 18-65 years and a body mass index (BMI) ≥25 kg/m2. The age range of the study population was the main inclusion criterion. Dietary intakes were assessed using a 147-item food frequency questionnaire (FFQ), as well as biochemistry and anthropometric parameters, in all participants. Metabolic health phenotypes were considered using the Karelis score, whilst HBI was evaluated based on 8 categories of beverages consumed. Analysis was carried out using binary logistic regression.

Result: After controlling for a wide variety of confounding variables such as age, energy intake, BMI, education, physical activity, marriage, economic status, job, and supplementation, we found that the participants in the highest tertile of HBI had a lower risk of abnormal metabolic status than those in the lowest tertile (OR = 0.49; 95% CI: 0.07-3.21; P trend: 0.04), and it was not statistically significant, but we saw a significant trend.

Conclusion: In conclusion, it seems that higher adherence to HBI can minimize the risk of metabolic abnormality, based on a significant trend.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no conflicts of interest.

References

    1. Abdelaal M., le Roux C. W., Docherty N. G. Morbidity and mortality associated with obesity. Annals of Translational Medicine . 2017;5(7):p. 161. doi: 10.21037/atm.2017.03.107. - DOI - PMC - PubMed
    1. Stephenson J., Smith C. M., Kearns B., Haywood A., Bissell P. The association between obesity and quality of life: a retrospective analysis of a large-scalepopulation-based cohort study. BMC Public Health . 2021;21(1):1990–1999. doi: 10.1186/s12889-021-12009-8. - DOI - PMC - PubMed
    1. Wharton S., Lau D. C., Vallis M., et al. Obesity in adults: a clinical practice guideline. Canadian Medical Association Journal . 2020;192(31):E875–E891. doi: 10.1503/cmaj.191707. - DOI - PMC - PubMed
    1. Di Cesare M., Bentham J., Stevens G., Zhou B., Danaei G., Lu Y. Trends in adult bodymass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. The Lancet . 2016;387(10026):1377–1396. - PMC - PubMed
    1. Hruby A., Hu F. B. The epidemiology of obesity: a big picture. PharmacoEconomics . 2015;33(7):673–689. doi: 10.1007/s40273-014-0243-x. - DOI - PMC - PubMed

LinkOut - more resources