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2025 article

Applicability of different resting energy expenditure prediction equations to overweight and obese women of childbearing age with fertility problems.

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BACKGROUND AND OBJECTIVES: This study compared the accuracy of current energy formulas in predicting resting energy expenditure (REE) in overweight and obese women with fertility problems. METHODS AND STUDY DESIGN: This study evaluated REE prediction formulas in 82 overweight/obese women (18-49 years) with fertility problems. REE is accurately measured using indirect calorimetry, which is considered the gold standard for evaluating energy. Anthropometric data, including height, weight, and waist circumference. Body composition analysis was performed using bioelectrical impedance analysis to determine fat-free mass and other related indicators. Statistical analyses included Spearman correlation coefficients to assess the relationship between REE and various predictors. The accuracy and reliability of the existing prediction equations were evaluated by comparing their predicted values with resting energy expenditure values measured by Indirect Calorimetry using Bland-Altman analysis. RESULTS: Among the prediction equations assessed, Mifflin's equation demonstrated superior performance in estimating REE in overweight/obese women experiencing fertility problems, exhibiting the least bias (-9.7 kcal/day) and a low standard deviation (240 kcal/day). Variables such as body weight, lean body weight, and central obesity indicators like waist circumference and waist-height ratio emerged as significant predictors of REE, with their impacts being age-dependent. The Mifflin-St. Jeor Equation, which integrates weight, height, and age variables, offers a reasonably accurate estimation of energy needs for this specific demographic. CONCLUSIONS: The Mifflin-St. Jeor Equation is an accurate tool for predicting REE in overweight and obese women with fertility problems, offering important insights for nutritional assessment and intervention strategies in fertility management.

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Les sujets associés

Gestational Diabetes Research and ManagementOvarian function and disordersBirth, Development, and Health

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