Metabolic syndrome (MetS) is a complex disorder which has become one of the major public health challenges worldwide. This study was conducted to evaluate the association between dietary advanced glycation end products (AGEs) and risk of MetS and its components. This cross-sectional study was conducted in a representative sample of 5848 adults, aged 19-70 years. Daily consumption of carboxymethyl lysine, a major type of AGEs, was determined using a validated semi-quantitative food frequency questionnaire. Across increasing trend of AGEs consumption, the percentage of fat intake increased and that of carbohydrate significantly decreased (p < 0.001). Subjects in the highest (>10,506 kU/d) compared to the lowest (<6673 kU/d) quartile category of AGEs had higher risk of abdominal obesity (OR: 1.19, 95% CI: 1.01-1.39) and hypertriglyceridemia (OR: 1.26, 95% CI: 1.07-1.49). Therefore, recommendation on restriction of AGEs intake could be a practical approach to prevent metabolic abnormalities.
Objective:
The objective of this study is to explore the predictive role of emotional intelligence (EI) and its elements for health-related quality of life (HRQoL) dimensions in a sample of breast cancer survivors.
Methods:
This cross-sectional study was conducted in a single oncology clinic at a university hospital. A sample of breast cancer survivors (
n
= 180) completed three questionnaires: Short-Form Health Survey SF-36 (the RAND 36-item) with 8 dimensions; Cyberia Shrink EI Test (with five elements); and demographic Characteristics. The data were analyzed using SPSS version 20 (IBM Corporation, Armonk, NY, USA). A series of multiple linear regression models were used to analyze the data.
Results:
EI was a predictor for two dimensions of HRQoL components in survivors: mental (β = 0.45,
P
< 0.001); and physical (β = 0.27,
P
< 0.001). However, it was a better predictor for the mental HRQoL than for physical. More specifically, several elements of EI, including self-motivation, self-awareness, and self-control, demonstrated significant variance with a medium effect for prediction of dimensions of HRQoL. “Self-motivation” (β = 0.27,
P
< 0.001) and “self-awareness” (β = 0.29,
P
< 0.01) together were the best predictors of the variances of survivors’ “general health” (
R
2
= 28%). “Self-motivation” (β = 0.39,
P
< 0.001), and “self-control” (β = 0.19,
P
< 0.05), also together, were the best predictors of the variances of survivors’ “emotional well-being” (
R
2
= 28%).
Conclusions:
Educational intervention programs should be planned by concentrating on special elements of EI, including self-motivation, self-awareness and self-control, to improve HRQoL dimensions in breast cancer survivors.
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