Hindi
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Casopis Lekaru Ceskych 1994-Mar

[Body weight fluctuation in obese women and atherogenesis risk factors].

केवल पंजीकृत उपयोगकर्ता ही लेखों का अनुवाद कर सकते हैं
साइन अप करने के लिए लॉग इन करें
लिंक क्लिपबोर्ड पर सहेजा गया है
V Hainer
V Stich
M Kunesová
A Zák
J Parízková

कीवर्ड

सार

BACKGROUND

Hitherto published experimental and clinical studies provide controversial findings as regards the relations of risk factors of atherogenesis and ischaemic heart disease and variations of body weight. The objective of the present study was to find out whether variations of body weight in women with severe obesity influence the incidence of some other risk factors of atherogenesis.

RESULTS

Two groups of obese women were examined. The group described as "weight cyclers" comprised 29 women where repeated variations of body weight were recorded, whereby at least two cycles of weight loss and subsequent gain were higher than 10 kg. The mean age of the group was 40.6 +/- 1.6 years, the body weight 113.0 +/- 4.2 kg, the body mass index (BMI) 39.88 +/- 1.48, the mean number of weight cycles (< 10 kg) was 2.38 +/- 0.11. The second group described as "non-weight cyclers" comprised 55 women whose body weight change, with the exception of pregnancy, at the age above 20 years did not exceed 5 kg. The mean age of this group of women was 38.5 +/- 2.1 years, the body weight 110.4 +/- 2.9 kg and BMI 39.31 +/- 0.98. The anthropometric indicators--ratio of lean body mass, the waist/hip ratio, the waist/thigh ratio, the sagittal diameter at the L4/L5 level did not differ in the two groups: an exception was only the centralization index which differed at the borderline of statistical significance (p < 0.05). The values of other risk factors are as follows: (the first figure refers to the "weight cyclers"). Systolic blood pressure 135.0 +/- 2.5 mmHg and 135.9 +/- 2.4 mmHg resp., diastolic blood pressure 86.1 +/- 1.7 mmHg and 86.2 +/- 1.5 mmHg resp., fasting serum insulin (IRI) 22.2 +/- 3.5 mU/l and 26.2 +/- 2.4 mU/l resp., the fasting blood sugar level 5.30 +/- 0.17 mmol/l and 5.48 +/- 0.16 mmol/l, total cholesterol 5.29 +/- 0.17 mmol/l and 5.53 +/- 0.13 mmol/l, HDL-cholesterol 1.40 +/- 0.05 mmol/l and 1.30 +/- 0.04 mmol/l, triacylglycerols 1.92 +/- 0.22 mmol/l and 2.10 +/- 0.22 mmol/l. The serum concentrations of free fatty acids (at 7.00 a.m., 1.00 p.m., 9 p.m.) did not differ in the two groups: 0.790 +/- 0.058 mmol/l and 0.772 +/- 0.060 mmol/l at 7.00 a.m., 0.621 +/- 0.066 mmol/l and 0.641 +/- 0.051 mmol/l resp. at 1.00 p.m., 0.730 +/- 0.066 mmol/l and 0.810 +/- 0.061 mmol/l resp. at 9.00 p.m.

CONCLUSIONS

The increased flow of free fatty acids from intraabdominal fat depots is considered to be one of the factors mediating metabolic complications in the android type of obesity. Therefore the absence of any difference in fasting free fatty acid levels in both groups of investigated obese women suggests that variations in body weight do not participate in the increased risk of development of metabolic complications in women with severe obesity. Marked variations in body weight in women with severe obesity do not influence the incidence of the risk factors of atherogenesis.

हमारे फेसबुक पेज से जुड़ें

विज्ञान द्वारा समर्थित सबसे पूर्ण औषधीय जड़ी बूटी डेटाबेस

  • 55 भाषाओं में काम करता है
  • विज्ञान द्वारा समर्थित हर्बल इलाज
  • छवि द्वारा जड़ी बूटी की मान्यता
  • इंटरएक्टिव जीपीएस नक्शा - स्थान पर टैग जड़ी बूटियों (जल्द ही आ रहा है)
  • अपनी खोज से संबंधित वैज्ञानिक प्रकाशन पढ़ें
  • उनके प्रभाव से औषधीय जड़ी बूटियों की खोज करें
  • अपने हितों को व्यवस्थित करें और समाचार अनुसंधान, नैदानिक परीक्षणों और पेटेंट के साथ अद्यतित रहें

एक लक्षण या बीमारी टाइप करें और जड़ी-बूटियों के बारे में पढ़ें जो मदद कर सकती हैं, एक जड़ी बूटी टाइप करें और बीमारियों और लक्षणों को देखें जिनके खिलाफ इसका उपयोग किया जाता है।
* सभी जानकारी प्रकाशित वैज्ञानिक शोध पर आधारित है

Google Play badgeApp Store badge