ABSTRACT
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has been shown to affect nutritional recommendations. Some functional foods have been demonstrated to be useful in the treatment of people with COVID-19. However, little is known about the impact of combining functional foods on disease control. This study aimed to investigate the effects of functional foods mixture on serum levels of inflammatory cytokines and biochemical findings in patients with COVID-19. METHODS: A randomized double-blind controlled trial was conducted in Baqiyatallah Al-Azam hospital in Tehran, Iran. Sixty patients were randomly assigned to receive either a soup containing functional foods (n = 30) or a usual soup (control group) (n = 30). Participants' sociodemographic information was gathered using a general questionnaire. Blood levels of inflammatory markers and biochemical findings were assessed using standard protocols. RESULTS: The results showed that soup containing functional foods was more effective in controlling serum levels of D-dimer, blood urea nitrogen, and creatinine than the control group (P < 0.05). Also, more significant improvement was found in the intervention group vs control group in terms of interleukin (IL)-1ß, IL-6, IL-17, IL-10, and tumor necrose factor-α (P < 0.05). In contrast, the control intervention more efficiently controlled potassium levels and reduced quantitative C-reactive protein than the intervention group (P < 0.05). CONCLUSIONS: This study indicates a soup containing functional foods could alleviate biomarkers of inflammation in patients with COVID-19. However, its effectiveness on biochemical findings remained inconclusive which warranted further research. TRIAL REGISTRATION: IRCT, IRCT20180201038585N11. Registered 23 August 2021, https://www.irct.ir/trial/57338.
Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Functional Food , Cytokines , Iran , Double-Blind Method , Treatment OutcomeABSTRACT
In recent years, it has been postulated that cigarette smoking can aggravate noise-induced hearing loss. In this study, we aimed to assess the effect of concurrent exposure to cigarette smoke and occupational noise on binaural hearing impairment (BHI). In an analytic study on the workers of a large wagon manufacturing company in 2007, 622 male workers (252 smokers and 370 non-smokers, matched for other variables) participated and their BHI was compared. BHI was significantly higher in smokers than in non-smokers (odds ratio= 5.6, P < 0.001, 95% CI =3.4-9.4). Logistic regression confirmed this significant difference as well, and showed a direct relationship between the amount of BHI and pack/years of smoking. Cigarette smoking accompanied by exposure to workplace noise may play a role in causing binaural hearing impairment, so giving up or decreasing the amount of smoking may prevent or at least delay binaural hearing impairment, and eventually reduce its compensation costs.
Subject(s)
Hearing Loss, Noise-Induced/etiology , Noise, Occupational/adverse effects , Occupational Exposure/adverse effects , Smoking/adverse effects , Adult , Age Distribution , Case-Control Studies , Chi-Square Distribution , Cross-Sectional Studies , Hearing Loss, Noise-Induced/diagnosis , Hearing Loss, Noise-Induced/epidemiology , Hearing Loss, Noise-Induced/prevention & control , Humans , Industry , Iran/epidemiology , Logistic Models , Male , Noise, Occupational/prevention & control , Occupational Exposure/prevention & control , Occupational Health , Risk Factors , Smoking/epidemiology , Smoking Prevention , Time Factors , Urban PopulationABSTRACT
BACKGROUND: Noise is the most common occupational hazard. Noise-induced hearing loss (NIHL) is a known occupational disease. The economic costs of NIHL have been estimated to be billions of dollars. Besides, cigarette smoking is a common habit worldwide. METHODS: In a cross-sectional study, we surveyed the effect of smoking on NIHL in 504 workers in a large wagon manufacturing company exposed to noise >85 dBA. All required data were obtained using direct interview and questionnaires. To determine noise exposure level, we used industrial hygienist's reports of sound level measurements. A qualified audiologist assessed hearing status using standardized audiometric examination. RESULTS: We concluded that the frequency of hearing loss in smokers was higher than non-smokers [based on Model 1: odds ratio (OR) = 9.35, 95% confidence interval (CI) = 5.74-15.22 and P-value < 0.001; and based on Model 2: OR = 9.06, 95% CI = 5.93-13.84 and P-value < 0.001]. Besides, these results were confirmed by logistic regression statistical method. CONCLUSIONS: It can be concluded that smoking may accelerate NIHL, but for confirming this opinion, further studies are warranted.
