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The Android/Gynoid (A/G) ratio is a measure used to assess the distribution of body fat, comparing the fat mass in the android region (abdominal area) to that in the gynoid region (hip and thigh area). A higher A/G ratio indicates proportionally more fat in the abdominal region relative to the hips and thighs, sometimes referred to as an “apple” distribution. A lower A/G ratio indicates a higher proportion of fat in the hips and thighs, sometimes referred to as a “pear” distribution.
The A/G ratio is determined using dual-energy X-ray absorptiometry (DXA). DXA scans measure fat throughout the body and automatically differentiate between the android and gynoid regions (Bantle et al., 2019; Nistor et al., 2024). The A/G ratio is then calculated by dividing the fat mass in the android region by the fat mass in the gynoid region.
Having a high A/G ratio (“apple” body fat distribution) is associated with increased risk of cardiovascular disease (CVD), metabolic syndrome, type 2 diabetes, and metabolic-associated steatotic liver disease (MASLD). This is due to the greater hormonal and metabolic activity of abdominal fat, which can contribute to insulin resistance, dyslipidemia, and hypertension (Okosun et al., 2015; Després, 2012; Neeland et al., 2023).
Not only is the A/G ratio a valuable tool for assessing metabolic and cardiovascular risks, it can guide lifestyle modifications and interventions to reduce these risks. Regular assessment of the A/G ratio can help in early detection and management of conditions like MASLD and metabolic syndrome, potentially preventing long-term health complications.
Research shows that carrying more fat around the abdomen compared to the hips (a higher A/G ratio) raises the risk of heart disease, diabetes, liver abnormalities, and related health problems. Studies have found that keeping this ratio below 0.8 for women and 1.0 for men is linked to better health outcomes (Nistor et al., 2024; Okosun et al., 2015; Bantle et al., 2019). While national databases such as NHANES 2015–2016 indicate average fat distribution patterns within the populations, we use risk-based cutoffs from studies that link fat distribution with health outcomes.
Optimal A/G Ratio (< 0.8 in women; < 1.0 in men) An optimal ratio reflects lower abdominal (android) fat distribution relative to gynoid fat (“pear-shaped” body). More hip/thigh fat (ratio < 1 for men; <0.8 in women) is generally safer for your health as it is linked to lower levels of systemic inflammation and higher insulin sensitivity. Individuals in this range typically exhibit healthier lipid panels and blood pressure, reducing long-term cardiovascular and metabolic risk.
Normal A/G Ratio (0.8–1.0 in women; 1.0–1.2 in men) A normal ratio indicates an acceptable balance of abdominal to hip/thigh fat. While not as protective as the optimal range, this ratio maintains adequate insulin sensitivity and lipid profiles but should monitor trends over time as it can be influenced by age and factors such as menopause. Lifestyle measures such as a balanced diet, regular exercise can help prevent drift toward higher-risk values.
At-Risk A/G Ratio (> 1.0 in women; > 1.2 in men) An at-risk ratio indicates excess visceral fat accumulation (“apple-shaped” body), which can contribute to insulin resistance, type 2 diabetes, dyslipidemia, hypertension, and nonalcoholic fatty liver disease. This high-risk pattern is associated with increased levels of pro-inflammatory cytokines and atherogenic lipid changes, which result in higher cardiovascular and metabolic risk. Early identification of an elevated A/G ratio allows targeted interventions—weight loss, abdominal fat–focused exercise, and potential pharmacotherapy—to mitigate these health threats.
Bantle, A. E., Bosch, T. A., Dengel, D. R., Wang, Q., Mashek, D. G., & Chow, L. S. (2019). DXA-determined regional adiposity relates to insulin resistance in a young adult population with overweight and obesity. Journal of Clinical Densitometry, 22(2), 287–292. https://doi.org/10.1016/j.jocd.2018.06.001
Després, J. P. (2012). Body fat distribution and risk of cardiovascular disease: An update. Circulation, 126(10), 1301–1313. https://doi.org/10.1161/CIRCULATIONAHA.111.067264
National Center for Health Statistics. (2021). _National Health and Nutrition Examination Survey (NHANES) 2015–2016: Dual-Energy X-ray Absorptiometry—Android/Gynoid Measurements (DXXAG_I) Data Documentation, Codebook, and Frequencies_. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention. https://wwwn.cdc.gov/Nchs/Nhanes/2015-2016/DXXAG_I.htm
Neeland, I. J., Poirier, P., Després, J. P., & Lavie, C. J. (2023). Visceral and ectopic fat: Targeting cardiometabolic risk management. Nature Reviews Cardiology, 20(1), 44–59. https://doi.org/10.1038/s41569-022-00758-6
Nistor, I. M., Fica, S., Martin, S. C., Mustata, T., Oprea, T. E., Sirbu, A. E., & Barbu, C. G. (2024). DXA android-to-gynoid ratio and cardiovascular risk assessment in age- and BMI-propensity-matched early postmenopausal women. Medicina (Kaunas), 60(7), 1096. https://doi.org/10.3390/medicina60071096
Okosun, I. S., Seale, J. P., & Lyn, R. (2015). Commingling effect of gynoid and android fat patterns on cardiometabolic dysregulation in normal weight American adults. Nutrition & Diabetes, 5(2), e155. https://doi.org/10.1038/nutd.2015.5
This information is educational and does not replace medical advice, diagnosis, or treatment. Your results should be interpreted with a qualified healthcare professional in the context of your health history.