5 research outputs found
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
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
ORTAOKUL ÖĞRENCİLERİNDE BESLENME ÖZYETERLİK VE BESLENME DAVRANIŞLARININ İNCELENMESİ VE AİLESEL OBEZİTENİN BELİRLENMESİ
Bu çalışmanın amacı, ortaokul çağındaki çocukların beslenme davranışları ile beslenme özyeterliklerini saptamak ve ailesel obeziteyi belirlemektir.Bunun yanısıra ölçekleri, ailenin ekonomik durumu, öğrencinin ve ailenin algılanan sağlık durumu, öğrencinin yaşı, cinsiyeti, sınıfı ve aile tipi gibi etkileyen değişkenlere göre incelemektir. Araştırmanın verileri, Şubat-Haziran 2019 tarihleri arasında, ortaokula devam eden, 11-13 yaş arası çocuğunun çalışmaya katılmasını kabul eden 630 ebeveyn ve çocuğundan elde edilmiştir. Çok merkezli yürütülenbuçalışmada bilgiler aile formu, Çocuk Beslenme Öz-yeterlik (ÇBÖÖ) ile Beslenme Davranışı Ölçeği (BDÖ) kullanılarak değerlendirilmiştir. Çalışmaya katılan öğrencilerin velileri konu hakkında bilgilendirilerek onayları alınmıştır. Çalışma grubunu oluşturanların 339‘u kız (%53.8), 291‘i (%46.2) ise erkektir. Kız öğrencilerin vücut kitle indeksi (BKİ) ortalamaları ve erkek öğrencilerin BKI ortalamaları 20.26±3.36 kg/m2’dir. Çocukların ÇBÖÖ puanı ortanca değeri 1.0 puan olarak bulunmuştur. Bu skor zayıf düzeyde ancak kısmen olumlu bir öz-yeterliği gösterirken beslenme davranışı ise -2.0 puan ortanca değeri ile negatif davranışı göstermiştir. Öz-yeterlik ölçeği ile davranış ölçeği arasında pozitif yönde orta düzeyde istatistiksel olarak önemli bir ilişki bulunmuştur (rho=0.471). Ailenin BKİ ile çocukların BKİ birbirleri ile ilişkili bulunmuştur. Ailesindekiloluluköyküsü olanlardakiloluçocukların daha sık olduğu belirlenmiştir. Bu çalışmada öğrencilerinsağlıksızbeslenmedavranışlarındaoldukları bulunmuştur. Başta okul öncesi eğitim olmakla birlikte tüm eğitim düzeylerinde beslenme eğitiminin önemi anlaşılmalı ve ders olarak müfredata eklenmesi sağlanmalıdır
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
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.</jats:p
The Immun System Response İn Covıd-19 Infectıon İn Polycystıc Ovary Syndrome
COVID-19, globally affecting people's lives, is a respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which reaches the pandemic state. People who are vulnerable and not immunocompromised are known to suffer severe COVID-19 complications and are at a relatively high risk of death. Risk factors include age, male gender, cardiovascular comorbidities including hypertension, history of cardiovascular disease, insulin resistance, diabetes, and obesity. Emerging data also linked the risk of severe COVID-19 to certain factors such as hyper inflammation, low vitamin D levels, and hyperandrogenism. Androgens play a key role in the pathophysiology of this infection. Therefore requires risk assessment of women with the polycystic ovarian syndrome (PCOS), the most common endocrinopathy in women of reproductive age with a prevalence of 8-13%, suffering from hyperandrogenism and characterized by most metabolic diseases. In this article, possible pathophysiological mechanisms related to the risk of COVID-19 in women with PCOS will be discussed. More scientific research is needed to understand which women are most at risk of becoming infected or developing complications, what causal mechanisms are possible to intervene, and what the long-term consequences will be.
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