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RESEARCH ARTICLE

Relationship of Body Fat Distribution and Anthropometric Status with Lipid Profiles in Ethnic Minang Adult Women

The Open Public Health Journal 13 Nov 2024 RESEARCH ARTICLE DOI: 10.2174/0118749445353029241030111530

Abstract

Background

The prevalence of metabolic syndrome is increasing, and it is a risk factor for cardiovascular disease. One of the indicators of metabolic syndrome is dyslipidemia.

Objective

This study analyzes adult women's body fat distribution, anthropometric status, and lipid profiles.

Methods

This study used a cross-sectional design with simple random sampling. A total of 159 adult women aged 25-44 living in the Pesisir Selatan district participated in the study. Ethical approval was obtained, and the respondents were not taking cholesterol-lowering drugs. Body fat distribution, anthropometric status, and lipid profile data were assessed using standard procedures and compared with the categories recommended for Indonesian women.

Results

The average age of respondents was 36.6 years. 45.3% of the respondents suffered from dyslipidemia. Most of them were obese based on BMI and had central obesity based on WC. Additionally, 76% had an above-normal fat mass. Lipid profile data showed that some (45.3%) had high total cholesterol, 44% had high LDL, 8% had high TG, and a small proportion (15%) had low HDL levels. There was a significant relationship (p < 0.01) between body fat distribution and anthropometric status with lipid profiles, except for total cholesterol (p < 0.05). A negative correlation was found between body fat percentage, BMI, and WC with HDL, while a positive correlation existed between body fat percentage, BMI, and WC with TG and LDL levels.

Conclusions

Obesity is found to be higher, and dyslipidemia begins to occur in women at a younger age, increasing the risk of metabolic syndrome. Education and routine screening are necessary to prevent non-communicable diseases.

Keywords: Metabolic syndrome, Obesity abdominal, Adult women, Risk factor for CVD, Body fat, Cross-sectional design study.
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