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1.
Clin Endocrinol (Oxf) ; 78(1): 107-13, 2013 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-22712547

RESUMEN

OBJECTIVES: Low-grade chronic inflammation predicts cardiovascular outcomes and is observed in women with polycystic ovary syndrome (PCOS). Whether this is entirely a cause or consequence of insulin resistance (IR) is unknown. METHODS: Seventy pairs of women with and without PCOS, matched for age, body mass index (BMI) and IR (HOMA, QUICKI and Avignon index), were generated from a larger cohort of 103 women with and 104 BMI-matched women without PCOS. Women with PCOS were studied in the follicular phase of the menstrual cycle. White cell count (WCC), high-sensitivity CRP (hsCRP) and a series of 12 cytokines and growth factors were measured. These inflammatory markers were also compared between women with PCOS and 10 normal women studied in the follicular, peri-ovulatory and luteal stages. RESULTS: When all subjects were compared, WCC (6.75 × 10(9) vs 5.60 × 10(9 ) g/l, P < 0.005), hsCRP (4.04 vs 2.90 mg/l, P < 0.05) and IL-6 (1.11 vs 0.72 pg/ml, P < 0.05) were greater in women with PCOS. Pair-matching for IR eliminated between-group differences in hsCRP and cytokines but did not alter the difference in WCC (6.60 × 10(9) vs 5.60 × 10(9 ) g/l, P < 0.005). WCC was greater in PCOS compared to normal women at all stages of the menstrual cycle. CONCLUSIONS: Low-grade inflammation occurs in PCOS. Increased hsCRP and cytokines are associated with IR, but increased WCC is observed even when IR is accounted for. The explanation for this and its clinical significance is unknown.


Asunto(s)
Resistencia a la Insulina/fisiología , Leucocitosis/etiología , Obesidad/sangre , Obesidad/complicaciones , Síndrome del Ovario Poliquístico/sangre , Adulto , Índice de Masa Corporal , Estudios Transversales , Femenino , Humanos , Adulto Joven
2.
QJM ; 106(7): 635-8, 2013 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-23525164

RESUMEN

BACKGROUND: Although regular exercise is a critical component of the management of type 2 diabetes, many patients do not meet their exercise targets. Lack of exercise is associated with obesity and adverse cardiovascular outcomes. AIM: We aimed to assess exercise habits in obese Irish patients with type 2 diabetes to determine if patients are adhering to exercise guidelines and to identify perceived barriers to exercise in this group. DESIGN: A cross-sectional study of obese patients with type 2 diabetes attending routine outpatient diabetes clinics at our institution, a public teaching hospital located on the outskirts of Dublin City. METHODS: A total of 145 obese patients with type 2 diabetes were administered a questionnaire to evaluate exercise habits and perceived barriers to exercise. Anthropometric details were measured. RESULTS: About 47.6% (n = 69) of patients exercised for <150 minutes per week (40% of males, 62% of females; P = 0.019) and these patients had a higher body mass index than those meeting targets (35 vs. 33.5 kg/m(2); P = 0.02). Perceived barriers to exercise were varied, with lack of time and physical discomfort being the most common. Reported barriers to exercise varied with age, gender and marital status. CONCLUSION: This study highlights the challenges facing clinicians in improving exercise levels in patients, and the need to identify the specific barriers to exercise in the individual to improve health outcomes.


Asunto(s)
Diabetes Mellitus Tipo 2/psicología , Ejercicio Físico/psicología , Obesidad/psicología , Factores de Edad , Estudios Transversales , Diabetes Mellitus Tipo 2/complicaciones , Diabetes Mellitus Tipo 2/terapia , Femenino , Humanos , Irlanda/epidemiología , Masculino , Estado Civil , Persona de Mediana Edad , Obesidad/complicaciones , Obesidad/terapia , Conducta Sedentaria , Factores Sexuales , Factores de Tiempo
3.
J Clin Endocrinol Metab ; 95(8): 3933-9, 2010 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-20519354

RESUMEN

OBJECTIVES: Women with polycystic ovary syndrome (PCOS) are more insulin resistant and display an atherogenic lipid profile compared with normal women of similar body mass index (BMI). Insulin resistance (IR) at least partially underlies the dyslipidemia of PCOS, but it is unclear whether PCOS status per se confers additional risk. RESEARCH DESIGN AND METHODS: Using a case-control design, we compared plasma lipids and lipoprotein subclasses (using polyacrylamide gel tube electrophoresis) in 70 women with PCOS (National Institutes of Health criteria) and 70 normal women pair matched for age, BMI, and IR (homeostasis model assessment-IR, quantitative insulin sensitivity check index, and the Avignon Index). Subjects were identified as having a (less atherogenic) type A pattern consisting predominantly of large low-density lipoprotein (LDL) subfractions or a (more atherogenic) non-A pattern consisting predominantly of small-dense LDL subfractions. RESULTS: Total, high-density lipoprotein, or LDL cholesterol, or triacylglycerol did not differ between the groups, but very low-density lipoprotein levels (P<0.05) were greater in women with PCOS, whereas a non-A LDL profile was seen in 12.9% compared with 2.9% of controls (P<0.05, chi2). Multiple regression analysis revealed homeostasis model assessment-IR and waist circumference to be independent predictors of very low-density lipoprotein together explaining 40.2% of the overall variance. Logistic regression revealed PCOS status to be the only independent determinant of a non-A LDL pattern (odds ratio 5.48 (95% confidence interval 1.082-27.77; P<0.05). CONCLUSIONS: Compared with women matched for BMI and IR, women with PCOS have potentially important differences in lipid profile with greater very low-density lipoprotein levels and increased rates of a more atherogenic non-A LDL pattern.


Asunto(s)
Resistencia a la Insulina/fisiología , Lipoproteínas/sangre , Síndrome del Ovario Poliquístico/sangre , Adulto , Índice de Masa Corporal , Estudios de Casos y Controles , Distribución de Chi-Cuadrado , Colesterol/sangre , Electroforesis en Gel de Poliacrilamida , Femenino , Prueba de Tolerancia a la Glucosa , Humanos , Inmunoensayo , Insulina/sangre , Lipoproteínas/clasificación , Análisis de Regresión
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