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Hemoglobin concentration is associated with the incidence of metabolic syndrome.
- Source :
- BMC Endocrine Disorders; 3/19/2021, Vol. 21 Issue 1, p1-11, 11p
- Publication Year :
- 2021
-
Abstract
- Background: An association between hemoglobin and metabolic syndrome (MetS) has been reported. However, the relationships between hemoglobin and individual MetS components remain unclear. Therefore, we investigated these associations at baseline and at the 3-year follow-up. Methods: We enrolled 9960 middle-aged and elderly subjects (6726 women and 3234 men) and performed a 3-year follow-up cohort study. All subjects completed a questionnaire and underwent anthropometric measurements and laboratory tests. Logistic regression models were developed to assess the association between hemoglobin and MetS and its components. Results: MetS was present in 45.1% of women and 41.4% of men at baseline. The hemoglobin concentration was positively correlated with SBP, DBP, TGs, WC, FPG, insulin, HOMA-IR, BMI and uric acid (p < 0.05). The mean hemoglobin concentration was higher in subjects with hypertension, high TGs, abdominal obesity or elevated FPG (p < 0.01). At follow-up, elevated hemoglobin correlated with an increased incidence and ORs for MetS, high TGs, low HDL-c, hyperuricemia and NAFLD but not abdominal obesity, BP or FPG in women. Increased hemoglobin corresponded with an increased incidence and ORs for MetS, abdominal obesity, low HDL-c, hyperuricemia and NAFLD but not BP, high TGs or FPG in men. Conclusions: Hemoglobin may play a role in predicting new-onset MetS in both women and men. Hemoglobin was notably correlated with future risk of high TGs, low HDL-c, hyperuricemia, and NAFLD among women and abdominal obesity, low HDL-c, hyperuricemia, and NAFLD among men. [ABSTRACT FROM AUTHOR]
- Subjects :
- OBESITY complications
METABOLIC syndrome risk factors
HYPERTENSION
TRIGLYCERIDES
HYPERURICEMIA
HEMOGLOBINS
ANTHROPOMETRY
FATTY liver
DISEASE incidence
BLOOD sugar
QUESTIONNAIRES
DESCRIPTIVE statistics
URIC acid
HIGH density lipoproteins
LOGISTIC regression analysis
ODDS ratio
LONGITUDINAL method
DISEASE complications
Subjects
Details
- Language :
- English
- ISSN :
- 14726823
- Volume :
- 21
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- BMC Endocrine Disorders
- Publication Type :
- Academic Journal
- Accession number :
- 149371104
- Full Text :
- https://doi.org/10.1186/s12902-021-00719-4