Association of obesity and anovulatory infertility.

OBJECTIVE: To verify the association of obesity and infertility related to anovulatory issues. METHODS: This case-control study was carried out with 52 women, aged 20 to 38 years, divided into two groups (infertile - cases - and fertile - control), seen at outpatient clinics, in the period from April to December, 2017. RESULTS: We found significant evidence that obesity negatively affects women's fertility (p=0.017). The group of infertile women was 7.5-fold more likely to be obese than fertile women. CONCLUSION: Strategies that encourage weight control are indicated for women with chronic anovulation, due to hight metabolic activity of adipose tissue.

Association of obesity and anovulatory infertility / Associação entre obesidade e infertilidade anovulatória

ABSTRACT Objective To verify the association of obesity and infertility related to anovulatory issues. Methods This case-control study was carried out with 52 women, aged 20 to 38 years, divided into two groups (infertile − cases − and fertile − control), seen at outpatient clinics, in the period from April to December, 2017. Results We found significant evidence that obesity negatively affects women's fertility (p=0.017). The group of infertile women was 7.5-fold more likely to be obese than fertile women. Conclusion Strategies that encourage weight control are indicated for women with chronic anovulation, due to hight metabolic activity of adipose tissue.

RESUMO Objetivo Verificar em mulheres a associação entre obesidade e infertilidade relacionada a questões anovulatórias. Métodos Estudo de caso-controle com 52 mulheres, de 20 a 38 anos, divididas em dois grupos (mulheres inférteis − casos − e férteis − controles), atendidas em ambulatórios, no período de abril a dezembro de 2017. Resultados Verificou-se evidência significativa de que a obesidade afeta negativamente na fertilidade das mulheres (p=0,017). O grupo de mulheres inférteis teve 7,5 vezes mais chances de serem obesas quando comparadas às mulheres férteis. Conclusão Estratégias que estimulem o controle do peso são indicadas para mulheres com anovulação crônica devido à elevada atividade metabólica do tecido adiposo.

Nutritional status and body fat distribution in children and adolescentes with Cystic Fibrosis.

OBJECTIVE: assessing the nutritional status and body fat distribution in children and adolescents with cystic fibrosis. METHOD: Fifty-six (56) 8-18 year old patients were assessed for fat distribution by dual energy X-ray absorptiometry, for nutritional status by height/age, and for body mass index to age and dietary intake by 24-hour dietary recall. RESULTS: Approximately 50% of the sample showed adequate nutritional status. Most of it showed inadequate caloric and lipid intake. BMI/age was the nutritional indicator that best showed the increased percentage of trunk fat, android/gynecoidratio and trunk fat/total fat ratio. Patients with Pancreatic Insufficiency and eutrophic individuals showed higher median android/gynecoidratio. CONCLUSION: Increased abdominal adiposity was evidenced by DXA. The BMI did not identify decreased lean body mass. However, when body mass was high, it was significant for abdominal adiposity. The anthropometric assessment of patients with cystic fibrosis should be associated with body composition and body fat distribution to obtain an earlier malnutrition and cardiometabolic risk factor diagnosis.

Estado nutricional e distribuição de gordura corporal em crianças e adolescentes com Fibrose Cística / Nutritional status and body fat distribution in children and adolescentes with Cystic Fibrosis / Nutritional status and body fat distribution in children and adolescentes with Cystic Fibrosis

O objetivo deste estudo é avaliar o estado nutricional e a distribuição da gordura corporal em crianças e adolescentes com fibrose cística. Foram realizadas avaliação da distribuição de gordura corporal por meio da absorciometria de duplo feixe de energia, do estado nutricional por estatura/idade e índice de massa corporal/idade e a ingestão dietética pelo recordatório alimentar de 24horas, em 56 pacientes com idade entre 8 e 18 anos. Aproximadamente 50% da amostra apresentou estado nutricional adequado. A maioria apresentou a ingestão calórica e de lipídios inadequadas. O IMC/I foi o indicador nutricional que melhor evidenciou o aumento do percentual de gordura do tronco, razão androide/ginecoide e razão gordura tronco/gordura total. Os pacientes com Insuficiência Pancreática e os eutróficos apresentaram razão mediana androide/ginecoide maior. O aumento da adiposidade abdominal foi evidenciado pela DXA. O IMC/I não identificou a diminuição da massa magra corporal, mas quando aumentado foi significativo para adiposidade abdominal. Pacientes com fibrose cística devem associar a avaliação antropométrica à composição corporal e à distribuição de gordura corporal para um diagnóstico mais precoce de desnutrição e fatores de risco cardiometabólico.

Objective : assessing the nutritional status and body fat distribution in children and adolescents with cystic fibrosis. Method : Fifty-six (56) 8-18 year old patients were assessed for fat distribution by dual energy X-ray absorptiometry, for nutritional status by height/age, and for body mass index to age and dietary intake by 24-hour dietary recall. Results : Approximately 50% of the sample showed adequate nutritional status. Most of it showed inadequate caloric and lipid intake. BMI/age was the nutritional indicator that best showed the increased percentage of trunk fat, android/gynecoidratio and trunk fat/total fat ratio. Patients with Pancreatic Insufficiency and eutrophic individuals showed higher median android/gynecoidratio. Conclusion : Increased abdominal adiposity was evidenced by DXA. The BMI did not identify decreased lean body mass. However, when body mass was high, it was significant for abdominal adiposity. The anthropometric assessment of patients with cystic fibrosis should be associated with body composition and body fat distribution to obtain an earlier malnutrition and cardiometabolic risk factor diagnosis.