The association between anthropometric obesity indices and lipid profile in the United Arab Emirates (UAE): Results from the UAE Healthy Future Study Data
1
Public Health Research Center, New York University, Abu Dhabi, Abu Dhabi, United Arab Emirates
Popul. Med. 2026;8(Supplement Supplement 1):A3023
ABSTRACT
BACKGROUND:
The UAE Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies in the region which examines causes and risk factors for chronic diseases among adult UAE nationals. The aim of this study was to explore the association between lipid profile biomarkers namely total cholesterol (CHOL), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglycerides (TG) and body-mass-index (BMI), body fat percentage (%BF) and waist circumference (WC), hip circumference (HC) and waist-to-height ratio (WHtR) among UAE Healthy Future Study (UAEHFS) participants.
METHODS:
We analyzed the UAEHFS data to investigate the association between five anthropometric obesity indices and lipids profile. Demographic information was gathered through self-reported questionnaires, while anthropometric data and blood samples were collected in a clinical setting. Multivariate regression models were performed for each of lipid profile biomarker (CHOL, HDL cholesterol, LDL cholesterol, and TG) as an outcome. These models incorporated a set of predictors including key anthropometric measures, age, and gender to thoroughly examine the influences of anthropometric and demographic factors on lipid levels.
RESULTS:
A total of 14,308 participants were included in the analysis. Multivariate median quantile regression analysis revealed distinct demographic and anthropometric associations with lipid profiles. Males had higher CHOL, LDL, and TG but markedly lower HDL, while age was positively associated with all lipids. Anthropometric indicators such as %BF was strongly associated with increased cholesterol and LDL, while WC was associated with higher triglyceride levels. HC size showed generally protective effects, with negative associations across most outcomes.
CONCLUSIONS:
These findings confirm high correlations between anthropometric obesity measures and lipid biomarkers. Body fat percentage (%BF) and waist circumference (WC) demonstrated a stronger association with most lipid levels compared to BMI. Additional research is needed to further investigate the association between different obesity indices and serum lipid profile.
The UAE Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies in the region which examines causes and risk factors for chronic diseases among adult UAE nationals. The aim of this study was to explore the association between lipid profile biomarkers namely total cholesterol (CHOL), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglycerides (TG) and body-mass-index (BMI), body fat percentage (%BF) and waist circumference (WC), hip circumference (HC) and waist-to-height ratio (WHtR) among UAE Healthy Future Study (UAEHFS) participants.
METHODS:
We analyzed the UAEHFS data to investigate the association between five anthropometric obesity indices and lipids profile. Demographic information was gathered through self-reported questionnaires, while anthropometric data and blood samples were collected in a clinical setting. Multivariate regression models were performed for each of lipid profile biomarker (CHOL, HDL cholesterol, LDL cholesterol, and TG) as an outcome. These models incorporated a set of predictors including key anthropometric measures, age, and gender to thoroughly examine the influences of anthropometric and demographic factors on lipid levels.
RESULTS:
A total of 14,308 participants were included in the analysis. Multivariate median quantile regression analysis revealed distinct demographic and anthropometric associations with lipid profiles. Males had higher CHOL, LDL, and TG but markedly lower HDL, while age was positively associated with all lipids. Anthropometric indicators such as %BF was strongly associated with increased cholesterol and LDL, while WC was associated with higher triglyceride levels. HC size showed generally protective effects, with negative associations across most outcomes.
CONCLUSIONS:
These findings confirm high correlations between anthropometric obesity measures and lipid biomarkers. Body fat percentage (%BF) and waist circumference (WC) demonstrated a stronger association with most lipid levels compared to BMI. Additional research is needed to further investigate the association between different obesity indices and serum lipid profile.
| eISSN: | 2654-1459 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
