The resting metabolic rate in women with polycystic ovary syndrome and its relation to the hormonal milieu, insulin metabolism, and body fat distribution: a cohort study

Romualdi, Daniela; Versace, Valeria; Tagliaferri, Valeria; Cicco, Simona De; Immediata, Valentina; Apa, Rosanna; Guido, Maurizio; Lanzone, Antonio

doi:10.1007/s40618-019-01029-2

Cited by 14 publications

(16 citation statements)

References 35 publications

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“…On the contrary, it is reported in another study that there is no difference in macronutrient and energy intake between the two groups [28]. However, a study argued that the usual dietary macronutrient intake in women with PCOS did not show a difference in terms of the age-matched control group [15], and another study concluded that PCOS was affected by nutritional status [29].…”

Section: Discussionmentioning

confidence: 98%

“…Also, energy expenditure with SenseWear Armband is assessed for the first time in lean PCOS women in this country. SWA is a new and practical tool to measure energy expenditure [15]. Lean PCOS patients have limited data regarding segmental fat distribution in the literature [9].…”

Section: Discussionmentioning

confidence: 99%

“…is observation may be related to the default change of signals such as neuropeptide Y, ghrelin, leptin, and insulin which arise from the brain, intestine, pancreas, and adipose tissue and controls the nutritional behavior [15]. is study compared the nutritional intake of the two groups by using 24-h food record for 3 consecutive days (two weekdays and one weekend).…”

Section: Introductionmentioning

confidence: 99%

“…According to some authors, energy consumption performance could be naturally reduced in polycystic ovary syndrome [15]. Basal metabolic rate (BMR) and active energy expenditure (AEE) are components of total energy expenditure (TEE).…”

Section: Introductionmentioning

confidence: 99%

“…Due to the experimental protocols or activities in each study, in the results of specific characteristics of each population and the monitor firmware or the specific characteristics of each population, there is a great heterogeneity for the validity and precision of the SWA in energy expenditure estimation [16]. According to Fruin and Rankin [17], this validated tool has many advantages in clinical use compared to traditional ways as it gives more comfort to patients, costs lower, and gives fast collection of data [15,17]. SWA has not been used in lean PCOS patients so far.…”

Section: Introductionmentioning

confidence: 99%

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The Use of SenseWear Armband for Assessment of Daily Energy Expenditure and the Relation to Body Fat Distribution and Nutritional Intake in Lean Women with Polycystic Ovary Syndrome

Arusoğlu

2020

Journal of Nutrition and Metabolism

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Objective. To evaluate nutritional intake, energy expenditure, and segmental body composition in lean women with polycystic ovary syndrome (PCOS) and compare them with age- and body mass index- (BMI-) matched control women. Methods. 32 nonobese patients with PCOS and 31 age- and BMI-matched healthy women were included in the study. Energy expenditure and physical activity level were assessed by metabolic Holter equipment (SenseWear Armband, SWA) which was never previously used in lean PCOS population. Food intake is recorded with 24 hours of food record. Segmental body composition analysis was assessed by bioelectrical impedance analyses (BIA). Results. Mean BMI was 22.64 ± 3.64 and 21.55 ± 2.77 kg/m2 (p=0.185) in PCOS and control groups, respectively. Mean age was 22.03 ± 4.21 and 21.71 ± 2.67 year (p=0.720), respectively. No significant differences were found in total energy intake and percentage of carbohydrates, fats, and other micronutrients (p>0.05). Energy percentage of proteins (%12.73 ± 1.98, p=0.008) was statistically lower in subjects versus the control group. The measurements of physical activity duration (PAD) (1.40 ± 0.87/2.18 ± 0.99 hours, p=0.002), active energy expenditure (372.35 ± 198.32/494.10 ± 186.50 kcal, p=0.018), and step counting (9370.03 ± 3587.49/11730.90 ± 3564.31 steps, p=0.013) measurement of the PCOS group were lower than the control group, respectively. Conclusions. New diagnosed women with PCOS had similar distribution and quantity of body fat parameters and nutritional status when compared to healthy women. Control subjects were found more active in energy expenditure.

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Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%