Dyslipidaemia in female overweight and obese patients. Relation to anthropometric and endocrine factors.
OBJECTIVE
To characterize serum lipid abnormalities in overweight and obese female patients and to quantify the relative importance of associated factors.


METHODS
Cross sectional study at the first visit to the out-patient department. 237 consecutive overweight and obese female patients (age 31 +/- 14 y, body mass index (BMI) 34.2 +/- 6.0 kg/m2) were studied. Evaluation included a questionnaire-based assessment of dietary and physical activity habits, determination of anthropometric indexes (BMI, abdominal/thigh ratio (A/T) and conicity index (CI)) and endocrine evaluation. Statistical analysis by factorial ANOVA and multiple regression.


RESULTS
Dyslipidaemia was present in 46% of the patients, with hypercholesterolaemia (35%) being more frequent than hypertriglyceridaemia (10%). Age but not dietary habits or physical activity patterns was significantly related to serum lipid concentrations, independently accounting for 6-10% of their variability. Pharmacological drug use resulted in increased serum triglyceride concentrations, explaining less than 5% of their variability. Serum cholesterol concentrations were not significantly related either to anthropometric or to endocrine indexes. For serum triglyceride concentrations, anthropometric indexes accounted for 6% of their variability and endocrine indexes-postprandial insulin, serum cortisol, testosterone and androstenedione together accounted for 32%.


CONCLUSIONS
In mild to moderate female obesity of the peripheral type, dyslipidaemia is common. However the most common abnormality, hypercholesterolaemia is not significantly related to anthropometric or endocrine indexes, while these together account for more than one third of variability in serum triglyceride concentrations.
Martins
J M
JM
Endocrine Unit, Curry Cabral Hospital, Lisbon, Portugal.
Carreiras
F
F
Falcão
J
J
Afonso
A
A
da Costa
J C
JC
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000704:Analysis of Variance; D000886:Anthropometry; D002648:Child; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D005260:Female; D006728:Hormones / Q000097:blood*; D006801:Humans; D006949:Hyperlipidemias / Q000097:blood* / Q000145:classification; D008055:Lipids / Q000097:blood*; D008875:Middle Aged; D009765:Obesity / Q000150:complications*; D012044:Regression Analysis; D014280:Triglycerides / Q000097:blood
D008076:Cholesterol, HDL; D006728:Hormones; D008055:Lipids; D014280:Triglycerides; D002784:Cholesterol