Low validity of predictive equations for calculating resting energy expenditure in overweight and obese women with polycystic ovary syndrome.

BACKGROUND: Predictive equations are the main clinical tools for determining resting energy expenditure (REE). However, their adequate use in overweight and obese individuals is unclear. Thus, we investigated the best predictive equations for estimating REE in overweight and obese women with polycystic ovary syndrome (PCOS). METHODS: Eleven analyses were performed with prediction equations (pREE) based on anthropometric parameters in 30 overweight or obese women with PCOS without other chronic diseases. The measured REE (mREE) was calculated by indirect calorimetry. The validity of the equations was investigated by comparison, accuracy and agreement tests between pREE and mREE at both the individual and group level. RESULTS: Four analyses were similar to those of mREE, and smallest mean differences were observed for the World Health Organization/Food and Agriculture Organization of the United Nations/United Nations University (WHO/FAO/UNU) considering weight (W) [0.07 (1.13) MJ (16 [270] kcal)]. Individual accuracy was greater than 50% for Harris and Benedict, Müller and Lazzer equations. The percentage of REE underestimation ranged between 16.7% and 73.3%, whereas higher rates of overestimation were observed in the De Luis (66.7%) and Ireton-Jones (43.3%) equations. Mean bias at the group level was lowest in the WHO/FAO/UNU W and WHO/FAO/UNU considering weight and height (WH), Müller and Lazzer equations (-2.8 to 0.5). The WHO/FAO/UNU W and WHO/FAO/UNU WH formulas were optimal in individual agreement (33.3%). CONCLUSIONS: FAO/WHO/UNU W equations may estimate the REE in overweight and obese women with PCOS. However, the low individual accuracy and agreement in relation to mREE suggest caution regarding when to use the formula to perform an individual nutritional plan.

Poor quality diet is associated with overweight status and obesity in patients with polycystic ovary syndrome.

BACKGROUND: The high rates of overweight status observed in women with polycystic ovary syndrome (PCOS) may reflect dietary intake, and so it is important to investigate diet quality and its relationship with the rates of overweight status and obesity among these patients. METHODS: A cross-sectional study was conducted in which 100 women with PCOS (Rotterdam criteria) were evaluated considering anthropometric and dietary data. The anthropometric evaluation included the measurement of weight, height, body mass index (BMI), waist circumference (WC), hip circumference and waist-hip ratio. Food intake data were collected from two 24-h dietary recalls to assess dietary patterns using the Brazilian Healthy Eating Index - Revised (BHEI-R). RESULTS: The anthropometric analysis indicated a high prevalence of overweight status, obesity and increased visceral fat (30.0%, 60.0% and 90.0%, respectively). The mean BHEI-R score was 56.1 ± 12.0 points (range 34.5-77.5 points). Diet quality was negatively correlated with obesity, which was evaluated by BMI (r = -0.248; P = 0.013) and WC (r = -0.278; P = 0.005). CONCLUSIONS: Dietary interventions focused on improvement of diet quality should be targeted to treat patients with PCOS because obesity in these women is associated with worsening endocrine, metabolic and reproductive functions.