Background and purposeC-reactive protein (CRP) is an inflammatory biomarker which prognosticates cardiovascular disease. Previous studies have reached mixed conclusions regarding the effect of vitamin C on reducing CRP or hs-CRP level. The present systematic review and meta-analysis was conducted to resolve these inconsistencies.Materials and methods: Related articles published up to August 2018 were searched through PubMed, Scopus, Ovid, ISI web of science, Embase, and Cochrane databases by relevant keywords. Clinical trials which examined the effect of either vitamin C supplementation or vitamin C-enriched foods on CRP and hs-CRP levels were included. A total of 11 studies with 14 data sets involving 818 subjects were included.ResultsOverall, the pooled analysis revealed that vitamin C could decrease CRP level relative to placebo group (Weighted mean difference [WMD]=−0.73 mg/L: 95% CI: −1.30 to −0.15, p=0.013) with a considerable heterogeneity (I2=98%, p<0.001). Moreover, subgroup analyses revealed that the beneficial effect of vitamin C on CRP level alternation only was found in male (p=0.003), non-smoker (p=0.041), healthy (p=0.029) and younger participants (p=0.010). Vitamin C could improve CRP level only at doses of less than 500 mg/day (p=0.009). Regarding hs-CRP changes, the pooled analysis did not show any significant effect of vitamin C (WMD=−0.65 mg/L: 95% CI: −2.03 to 0.72, p=0.35). This finding was confirmed by all subgroup analyses expect for high quality articles in which hs-CRP level was elevated after vitamin C supplementation (p=0.026).ConclusionIn conclusion, supplementation with vitamin C might have a significant effect only on CRP reduction. Further studies are needed to confirm this effect.
Objective This study aimed to investigate the relations of total meat intake and its subtypes, including red and processed meat, white meat, poultry, fish, and organ meat to the risk of general/central obesity. Methods This cross-sectional study included a total of 7312 Iranian adults with the age range of 35–70 years from the Shahedieh cohort study, Yazd, Iran. Dietary intake of subjects was evaluated using a validated 120-item Food Frequency Questionnaire. General obesity was defined as body mass index ≥ 30 kg/m2 and central obesity as waist circumference ≥ 102 cm in men and ≥ 88 cm in women. Results After controlling for potential covariates including energy intake, age, marital status, gender, physical activity, supplement use, house possession, education, family size, current smoking, night shift working, history of thyroid disease and depression, and intakes of vegetables, legumes, nuts, fruits, whole grains, and dairy, a significant direct association was found between the higher consumption of white meat (OR = 1.31; 95% CI: 1.06–1.61) and poultry (OR = 1.23; 95% CI: 1.04–1.45) with odds of general obesity. Processed meat was a significant predictor for central obesity in the fully adjusted model, so that individuals in the fourth quartile of processed meat intake, compared with those in the first quartile, had a 22% (OR = 1.22; 95% CI: 1.04–1.43) increased risk to be centrally obese. Conclusion This study reveals that higher intakes of white meat and poultry are associated with increased risk of general obesity, while, processed meat consumption was associated with central obesity.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.