Background/ObjectiveChronic inflammation contributes to the onset and development of metabolic diseases. Clinical evidence has suggested that coenzyme Q10 (CoQ10) has some effects on inflammatory markers. However, these results are equivocal. The aim of this systematic review was to assess the effects of CoQ10 on serum levels of inflammatory markers in people with metabolic diseases.MethodsElectronic databases were searched up to February 2016 for randomized controlled trials (RCTs). The outcome parameters were related to inflammatory factors, including interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α) and C reactive protein (CRP). RevMan software was used for meta-analysis. Meta-regression analysis, Egger line regression test and Begg rank correlation test were performed by STATA software.ResultsNine trials involving 428 subjects were included in this meta-analysis. The results showed that compared with control group, CoQ10 supplementation has significantly improved the serum level of CoQ10 by 1.17μg/ml [MD = 1.17, 95% CI (0.47 to 1.87) μg/ml, I2 = 94%]. Meanwhile, it has significantly decreased TNF-α by 0.45 pg/ml [MD = -0.45, 95% CI (-0.67 to -0.24) pg/ml, I2 = 0%]. No significant difference was observed between CoQ10 and placebo with regard to CRP [MD = -0.21, 95% CI (-0.60 to 0.17) mg/L, I2 = 21%] and IL-6 [MD = -0.89, 95% CI (-1.95 to 0.16) pg/ml, I2 = 84%].ConclusionsCoQ10 supplementation may partly improve the process of inflammatory state. The effects of CoQ10 on inflammation should be further investigated by conducting larger sample size and well-defined trials of long enough duration.
Objective: A family of nutrient-rich food (NRF) indices was validated against the mean adequacy ratio (MAR) and their associations with obesity were tested. Design: Cross-sectional study. NRF indices include nutrients to encourage ranging from 6–11 (protein; fibre; vitamin A, vitamin C, vitamin E and vitamin B12; Ca; Fe; K; Mg; Zn) and two nutrients to limit (saturated fat and Na), described as NRFn.2 (where n 6–11), based on reference amount of 100 g or 100 kcal using the NRF index family of algorithms. The percentage of variation in MAR (R2) was the criteria of index performance. Logistic regression models were applied to predict the association between NRF index and obesity. Setting: Three communities in Zhengzhou city, Henan province, China. Participants: A total of 656 adults were recruited from Henan as the subjects. Results: The NRF9·2 index, based on nine beneficial nutrients and two nutrients to limit, using the algorithm based on sums and 100 kcal, had the higher R2 values (R2 = 0·232). The OR for overweight (defined by BMI) in the 4th quartile (Q4) v. the 1st quartile (Q1) of the NRF9·2 index was 0·61 (95 % CI = 0·37, 0·98) after multiple adjustments. Conclusion: NRF9·2 index using the algorithm based on sums and 100 kcal gave the best predicted model for diet quality. NRF9·2 index score was associated with overweight defined by BMI, but it was not associated with central obesity. The NRF9·2 index is a valid tool to assess the overall diet quality among adults in Henan province of China.
Objectives Sarcopenia is a clinically relevant syndrome with health, social, and economic implications. Alcohol consumption is one of the risk factors for sarcopenia, but it has not been fully investigated in Chinese populations. The purpose of the present study was to assess the relationship between alcohol consumption patterns (including the volume and frequency of alcohol consumption) and sarcopenia or its elements among Chinese women and men from Henan Province. Method A cross-sectional study was designed to collect information about nutrition and health in Henan Province, China, and a total of 680 individuals were studied. Sarcopenia was defined according to the Asian Working Group for Sarcopenia (AWGS) criteria updated in 2019. Alcohol consumption was calculated in grams per day and divided into three groups. Drinking frequency was divided into four groups. We assessed the likelihood that sarcopenia was associated with drinking patterns using multiple logistic regression analysis by odds ratios (ORs) with 95% confidence interval (CIs) after multiple adjustments. Results We found that men who consumed > 25 g of ethanol per day were approximately three times more likely to have low muscle mass (OR, 3.99; 95% CI, 1.10–17.05) or low grip strength (OR, 3.39; 95% CI, 1.33–9.92) than nondrinkers after multiple adjustments. In addition, males who consumed alcohol more than 4 times per week were approximately threefold to fivefold more likely to have low muscle mass (OR, 4.99; 95% CI, 1.24–25.55) or low grip strength (OR, 3.37; 95% CI, 1.40–8.74) than nondrinkers. Unfortunately, we did not find a relationship between alcohol consumption patterns and sarcopenia or gait speed among males, and there was no association between alcohol consumption patterns and sarcopenia or any elements. Conclusion Heavy alcohol consumption and frequent drinking are important risk factors for low muscle mass and muscle strength in Chinese men from Henan province.
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