European journal of clinical nutrition · 2026
Prenatal adipose tissue estimation using early second trimester anthropometry.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Abrego Marcela R, Dube Sara, Powers Daniel A, Luci Jeffrey, Janumala Isaiah, Virostko Jack, Dula Adrienne N, Nichols Amy R, Rickman Rachel R, Foster Saralyn F, Harper Lorie M, Dabelea Dana, Cahill Alison G, Widen Elizabeth M
Аннотация
BACKGROUND/OBJECTIVES: Prenatal visceral (VAT) and total (TAT) adipose tissue are associated with gestational diabetes and preeclampsia risk, yet cannot be routinely assessed in clinical or epidemiologic settings. Although anthropometric measures reflect adiposity in non-pregnant individuals, their utility in early pregnancy remains unclear. We examined associations between anthropometrics and TAT and VAT in the early second trimester and evaluated differences by prepregnancy BMI.
SUBJECTS/METHODS: Among pregnant women (n = 61) in the Mother and Infant NuTrition (MINT) cohort, TAT and VAT were assessed via whole-body MRI at 15-weeks gestation. Anthropometrics included waist (WC), hip (HC), mid-upper arm (MUAC), calf (CC), thigh (TC), and skinfolds (SF) for iliac crest, subscapular, thigh, and triceps. Linear regression evaluated predictors of TAT and VAT by BMI category.
RESULTS: TAT demonstrated strong positive correlations with BMI, WC, HC, MUAC, and TC (r = 0.76-0.92) while VAT demonstrated moderate positive correlations with BMI, MUAC, HC (r = 0.48-0.58), and strongest with WC (r = 0.60). The healthy BMI (n = 36) TAT prediction model included MUAC, HC, and iliac SF (R2 = 0.86), and VAT model included MUAC and iliac SF (R2 = 0.60). The overweight and obesity (n = 25) TAT prediction model (R2 = 0.93) included WC and HC and the VAT model (R2 = 0.79) included HC and subscapular SF.
CONCLUSIONS: Anthropometric measures associated with prenatal adiposity differed by prepregnancy BMI. The TAT prediction model showed an acceptable R2 and included HC, MUAC, and iliac SF for healthy BMI, and WC and HC for overweight or obesity. Incorporating comprehensive anthropometrics into prenatal research and clinical care may improve risk identification and understanding of prenatal adiposity.
SUBJECTS/METHODS: Among pregnant women (n = 61) in the Mother and Infant NuTrition (MINT) cohort, TAT and VAT were assessed via whole-body MRI at 15-weeks gestation. Anthropometrics included waist (WC), hip (HC), mid-upper arm (MUAC), calf (CC), thigh (TC), and skinfolds (SF) for iliac crest, subscapular, thigh, and triceps. Linear regression evaluated predictors of TAT and VAT by BMI category.
RESULTS: TAT demonstrated strong positive correlations with BMI, WC, HC, MUAC, and TC (r = 0.76-0.92) while VAT demonstrated moderate positive correlations with BMI, MUAC, HC (r = 0.48-0.58), and strongest with WC (r = 0.60). The healthy BMI (n = 36) TAT prediction model included MUAC, HC, and iliac SF (R2 = 0.86), and VAT model included MUAC and iliac SF (R2 = 0.60). The overweight and obesity (n = 25) TAT prediction model (R2 = 0.93) included WC and HC and the VAT model (R2 = 0.79) included HC and subscapular SF.
CONCLUSIONS: Anthropometric measures associated with prenatal adiposity differed by prepregnancy BMI. The TAT prediction model showed an acceptable R2 and included HC, MUAC, and iliac SF for healthy BMI, and WC and HC for overweight or obesity. Incorporating comprehensive anthropometrics into prenatal research and clinical care may improve risk identification and understanding of prenatal adiposity.