%0 Journal Article %T Vitamin C deficiency and risk of metabolic complications among adults with chronic respiratory diseases: A case-control study. %A Abuhajar SM %A Taleb MH %A Ellulu MS %J Clin Nutr ESPEN %V 43 %N 0 %D 06 2021 %M 34024554 暂无%R 10.1016/j.clnesp.2021.03.007 %X Chronic respiratory disease (CRD) is an airflow limitation that represents a wide array of serious diseases. The aim of this study is to examine the influence of vitamin C deficiency on metabolic health-related quality in individuals with and without chronic respiratory disease in the Gaza Strip.
A matched case-control study including 52 cases of CRD and 52 controls of healthy participants were matched by age, sex, body mass index (BMI) and waist circumferences (WC). The study was conducted at the Ministry of Health secondary health-care centers in Gaza strip, Palestine. The biochemical data included Protein Carbonyl (PC), high sensitivity C reactive protein (CRP), vitamin C, fasting blood glucose (FBG) and markers of the lipid profile.
By the qualitative estimation of vitamin C consumption, there was a significantly lower consumption of foods that are rich in vitamin C by CRD patients than the matched controls. By comparing the results between both groups, CRD patients had significantly lower plasma concentrations of vitamins C than the control group (18.43 ± 11.93 μgm/ml vs. 24.06 ± 11.19 μgm/ml, P = 0.025), but significantly higher in PC (3.86 ± 4.21 μgm/ml vs. 2.11 ± 0.97 μgm/ml, P = 0.005), CRP (5.98 ± 8.84 mg/l vs. 1.87 ± 1.96 mg/l, P = 0.001), and FBG (102.46 ± 15.09 mg/dl vs. 95.92 ± 10.88 mg/dl, P = 0.017). The results revealed that CRD patients had significantly lower blood oxygen saturation than the control group (96.36 ± 3.81 vs. 98.51 ± 0.75, P < 0.001), whereas no significant differences were observed regarding the lipid profiles markers.
CRD patients have lower levels of vitamin C in their plasma and their diet than do healthy matched people; they also have higher oxidative stress and inflammatory markers than healthy people, which are risk factors for predicting metabolic complications.