BACKGROUND: There are few cross-sectional population-based studies on @entity28 in Hungary. Aim of this study was to characterize the prevalence, associated diseases and metabolic laboratory parameters for @entity28 in @entity1 and @entity1 in Budapest, Hungary. METHODS: A random sample of 641 @entity1 (307 males and 334 females) aged 50 years and over were recruited from a population register in Budapest. Subjects were interviewed, had height and weight measured in standard fashion. Those who were @entity28 (BMI > 30.0 kg/m2) were matched individually with @entity28 subjects. Altogether 101 pairs (48 @entity1 and 53 @entity1 pairs) were taking part and these subjects had blood taken for amount of serum @entity413 , lipids and uric acid. RESULTS: The mean age of @entity1 and @entity1 was 65.0 (SD = 9.1) years and 64.6 (SD = 8.9) years, respectively. The prevalence of @entity28 was 18.1% in @entity1 and 15.4% in @entity1 (p < 0.05). In both sexes the mean body mass index was higher at age of 50-64 years than at older ages [in @entity1 27.2 (SD = 3.7) kg/m2 vs. 26.7 (SD = 3.3) kg/ m2, p = 0.286 and in @entity1 26.7 (SD = 4.2) kg/m2 vs. 25.4 (SD = 4.0) kg/m2, p = 0.005]. Body mass index was higher in @entity1 than in @entity1 at all ages. In the case-control study the mean age of @entity28 individuals were 63.1 (SD = 7.8) years and 63.2 (SD = 7.9) years, respectively. Obesity was significantly associated with a history of @entity6 (18 vs. 7%, p < 0.05) and @entity101 (48 vs. 28%, p < 0.05). Compared to the @entity28 , those who were @entity28 had a higher level of serum @entity414 (311 +/- 102 vs. 280 +/- 96 micromol/l, p < 0.05) and @entity412 (2.67 +/- 1.95 vs. 1.86 +/- 0.95 mmol/l, p < 0.05). CONCLUSION: The high prevalence of @entity28 both in elderly @entity1 and @entity1 and its strong association with @entity102 causes economical and social burden for Hungary. Strategies and programs for weight maintenance as well as @entity353 must become a higher public health priority.

Prevalence of XXXX in an elderly Hungarian population.

@entity1 :: ('9606', 'Species') :: ['women', 'persons', 'men'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertension'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes mellitus'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obese and non-obese', 'non-obese', 'obese', 'obesity'] @entity353 :: ('MESH:D015431', 'Disease') :: ['weight reduction'] @entity102 :: ('MESH:D002908', 'Disease') :: ['chronic diseases'] @entity412 :: ('CHEBI:17855', 'Chemical') :: ['triglyceride'] @entity413 :: ('MESH:D005947', 'Chemical') :: ['glucose'] @entity414 :: ('MESH:D014527', 'Chemical') :: ['uric acid']
@entity28 :: (MESH:D009765,Disease) :: ['obesity']
