METHODS: The study was on 2322 non-institutionalized Malaysian elderly. The hierarchy logistic regression analysis was applied to estimate the risk of independent variables for urinary incontinence among respondents.
RESULTS: The findings indicated that approximately 3.80% of subjects had urinary incontinence. In addition, constipation was found a significant factor that increased the risk of urinary incontinence in samples (p=0.006; OR=3.77). The increase in dietary monounsaturated fat (p=0.038; OR=0.59) and plasma triglyceride levels (p=0.029; OR=0.56) significantly reduced the risk of incontinence in subjects. Many of suspected variables including socio-demographic factors, diseases, nutritional minerals, blood components and body weight were non-relevant factors to urinary incontinence in respondents.
CONCLUSIONS: Constipation increased the risk of urinary incontinence in subjects, and increase in dietary monounsaturated fat and plasma triglyceride levels decreased the risk.
METHODS: This human postprandial study evaluated 3 edible fat blends with differing polyunsaturated to saturated fatty acids (P/S) ratios (POL = 0.27, AHA = 1.00, PCAN = 1.32). A cross-over design included mildly hypercholestrolemic subjects (9 men and 6 women) preconditioned on test diets fats at 31% energy for 7 days prior to the postprandial challenge on the 8th day with 50 g test fat. Plasma lipids and lipoproteins were monitored at 0, 1.5, 3.5, 5.5 and 7 hr.
RESULTS: Plasma triacylglycerol (TAG) concentrations in response to POL, AHA or PCAN meals were not significant for time x test meal interactions (P > 0.05) despite an observed trend (POL > AHA > PCAN). TAG area-under-the-curve (AUC) increased by 22.58% after POL and 7.63% after PCAN compared to AHA treatments (P > 0.05). Plasma total cholesterol (TC) response was not significant between meals (P > 0.05). Varying P/S ratios of test meals significantly altered prandial high density lipoprotein-cholesterol (HDL-C) concentrations (P AHA > PCAN). Paired comparisons was significant between POL vs PCAN (P = 0.009) but not with AHA or between AHA vs PCAN (P > 0.05). A significantly higher HDL-C AUC for POL vs AHA (P = 0.015) and PCAN (P = 0.001) was observed. HDL-C AUC increased for POL by 25.38% and 16.0% compared to PCAN and AHA respectively. Plasma low density lipoprotein-cholesterol (LDL-C) concentrations was significant (P = 0.005) between meals and significantly lowest after POL meal compared to PCAN (P = 0.004) and AHA (P > 0.05) but not between AHA vs PCAN (P > 0.05). AUC for LDL-C was not significant between diets (P > 0.05). Palmitic (C16:0), oleic (C18:1), linoleic (C18:2) and linolenic (C18:3) acids in TAGs and cholesteryl esters were significantly modulated by meal source (P
Methods: Fasting blood samples were collected from 35 DMT2 or DMT2HTN patients each to analyze differences in serum and plasma levels of IMA, hs-CRP, FIB, total cholesterol (TC), high and low density lipoproteins (HDL and LDL), triglyceride (TG), hemoglobin A1c (HbA1C), glycated hemoglobin and creatinine.
Results: In DMT2 and DMT2HTN patients, IMA, hs-CRP, FIB, TC, TG, HDL, LDL, glycated hemoglobin and creatinine levels, including body mass index (BMI) and waist-to-hip ratio (WHR), were significantly higher relative to healthy controls. In addition, the levels of IMA, hs-CRP and FIB levels showed a strong link to BMI, WHR, TC, TG, LDL and glycated hemoglobin. Lastly, both DMT2 and DMT2HTN patients demonstrated a significant reduction in HDL.
Conclusion: DMT2 and DMT2HTN patients have a greater risk of developing cardiovascular related complications. This study suggests that quantifying hs-CRP, IMA and FIB levels can help diagnose the risk of developing complications during the early stages of metabolic and cardiovascular disease. Overall, the specific risk factors may be used for early identification of cardiovascular complications to decrease mortality and morbidity in T2DM patients.
METHODS: This cross-sectional study included 95 breast cancer survivors (age 53.7 ± 7.6 years) who have completed main cancer treatments for ≥6 months. Cancer survivors were recruited from two main government hospitals in Kelantan and Terengganu using a purposive sampling method.
RESULTS: According to the Harmonized criteria, the metabolic syndrome prevalence was 50.5%. Among those with metabolic syndrome, the most prevalent abnormal metabolic components were triglycerides (91.2%), fasting blood glucose (79.6%) and HDL-c level (78.4%). Except for total cholesterol and LDL-c, all other metabolic syndrome components were significantly different (p