scholarly journals Cholesterol and Oxidative Stress in U.S. Pregnant Women Exposed to Lead

2019 ◽  
Vol 7 (3) ◽  
pp. 42
Author(s):  
Emmanuel Obeng-Gyasi

Lead exposure among pregnant U.S. women was examined via the National Health and Nutrition Examination Survey (NHANES) 2009–2016 data to examine its role in bad cholesterol and oxidative stress. Mean values of the clinical markers non-high density lipoprotein cholesterol (non-HDL-c) and gamma-glutamyl transferase (GGT), a marker of oxidative stress, were explored. In four quartiles of lead exposure, clinical makers were compared. Binary logistic regression predicted the likelihood of elevated clinical markers in pregnant compared to non-pregnant women, while linear regression was used to examine associations between blood lead levels (BLL) and the clinical markers of interest. Mean non-HDL-c was statistically significantly more elevated in pregnant women than non-pregnant women. Mean GGT levels were more statistically significantly elevated in the highest quartile of BLL exposure among pregnant women than in the lower quartiles. In binary logistic regression models, pregnant women were statistically significantly more likely to have elevated non-HDL-c, while in linear regression BLL was statistically significantly associated with GGT levels in pregnant women. Lead exposure in pregnant women is an issue of public health concern that must continue to be studied.

2019 ◽  
Vol 7 (11) ◽  
pp. 103 ◽  
Author(s):  
Emmanuel Obeng-Gyasi

Lead and its effects on cardiovascular-related markers were explored in this cross-sectional study of young adults (18–44 years) and middle-aged adults (45–65 years) from the United States using the National Health and Nutrition Examination Survey (NHANES), 2009–2016. Degrees of exposure were created using blood lead level (BLL) as the biomarker of exposure based on the epidemiologically relevant threshold of BLL > 5 μg/dL. The mean values, in addition to the percentages of people represented for the markers of interest (systolic blood pressure [SBP], diastolic blood pressure [DBP], gamma-glutamyl transferase [GGT], non-high-density lipoprotein cholesterol [non-HDL-C]) were explored. Among those exposed to lead, the likelihood of elevated clinical markers (as defined by clinically relevant thresholds of above normal) were examined using binary logistic regression. In exploring exposure at the 5 μg/dL levels, there were significant differences in all the mean variables of interest between young and middle-aged adults. The binary logistic regression showed young and middle-aged adults exposed to lead were significantly more likely to have elevated markers (apart from DBP). In all, lead affects cardiovascular-related markers in young and middle-aged U.S. adults and thus we must continue to monitor lead exposure to promote health.


Diseases ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 7 ◽  
Author(s):  
Emmanuel Obeng-Gyasi ◽  
Barnabas Obeng-Gyasi

Chronic stress and cardiovascular disease risk were explored in a predominately middle-aged adult population exposed to elevated lead levels in this cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) from the period 2007-2010. Elevated lead exposure was defined using the epidemiological threshold of a blood lead level (BLL) > 5 μg/dL as defined by the U.S. Centers for Disease Control and Prevention (CDC). Allostatic load (AL), a measure of chronic stress, was operationalized using 10 clinical markers. The geometric mean values for clinical cardiovascular disease risk markers of interest (a) Gamma glutamyl-transferase (GGT) (a marker of oxidative stress), and (b) non-HDL cholesterol (non-HDL-c) (a marker of cardiovascular disease risk) were explored among lead-exposed and less lead-exposed individuals with differential chronic stress (AL) levels. Associations between AL and GGT/non-HDL-C were analyzed using linear regression models. The likelihood of increased clinical markers in lead-exposed individuals with high compared to low AL was explored using binary logistic regression models. In analyzing lead-exposed as compared to less lead-exposed populations, the geometric mean of the variables of interest showed significant elevations among lead-exposed individuals as compared to less lead-exposed individuals. Simple linear regression revealed that AL was positively associated with the variables of interest among the lead-exposed. In binary logistic regression among the lead-exposed, those with high AL, as compared to those with low AL, had significantly higher odds of having elevated non-HDL-C. This study submits that those exposed to lead with increasing AL may experience adverse cardiovascular health outcomes.


Diseases ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 97 ◽  
Author(s):  
Emmanuel Obeng-Gyasi ◽  
Barnabas Obeng-Gyasi

In this cross-sectional study, lead exposure among those with a history in military environments was examined. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) are clinical markers of blood pressure, while gamma-glutamyl transferase (GGT) is a marker of oxidative stress. These markers and their effects on those exposed to military environments were explored using National Health and Nutrition Examination Survey (NHANES) data from 2009 to 2016. Mean SBP and GGT were significantly elevated in those exposed to military environments, with a moderately significant association existing between blood lead levels (BLLs) and SBP. More attention must be given to lead exposure in military environments to mitigate the risk of exposure.


Author(s):  
Fatemeh Ahmadi-Motamayel ◽  
Shima Fathi ◽  
Mohammad Taghi Goodarzi ◽  
Shiva Borzouei ◽  
Jalal Poorolajal ◽  
...  

Background: One of the most common complications of pregnant women is gestational diabetes mellitus (GDM). Oxidative stress can play an important role in GDM. Objective: The aim of this study was to evaluate salivary antioxidants and oxidative stress markers in GDM. Method: Twenty pregnant women with GDM and 20 healthy pregnant women with normal blood glucose test participated in this study. Five mL of unstimulated saliva samples were collected. Spectrophotometric assay was carried out for sialochemical analysis. Stata software was used for data analysis. Results: The GDM group exhibited no significant difference in salivary total antioxidant capacity and malondialdehyde compared to the healthy control group. All of antioxidants markers, the uric acid, total antioxidant, peroxidase and catalase, decreased in GDM group that the difference of peroxidase and catalase was statistically significant. All of oxidative stress markers, the salivary malondyaldehid, total oxidative stress and total thiol, increased in GDM group. GDM group exhibited significantly higher salivary total oxidative stress levels. Conclusion: Catalase level was significantly lower and total oxidative stress was significantly higher. These two markers might have significant importance and might exhibit early changes compared to other factors in GDM. . Some of salivary antioxidants might have diagnostic, prognostic or therapeutic implications in GDM. Other studies with large sample size on salivary and blood samples need to be done to confirm this properties and salivary samples using instead of blood samples in GDM biomarkers changes.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Behnam Kargar ◽  
Zahra Zamanian ◽  
Majid Bagheri Hosseinabadi ◽  
Vahid Gharibi ◽  
Mohammad Sanyar Moradi ◽  
...  

Abstract Background Understanding the causes and risk factors of metabolic syndrome is important for promoting population health. Oxidative stress has been associated with metabolic syndrome, and also obstructive sleep apnea. These are two diseases which have common prognostic characteristics for heart disease. The aim of this study was to examine the role of oxidative stress in the concurrent presence of metabolic syndrome and obstructive sleep apnea in a working population. Methods Participants were 163 artisan bakers in Shahroud, Iran, routinely exposed to significant heat stress and other oxidative stress indicators on a daily basis as part of their work. Using a cross-sectional design, data relevant to determining metabolic syndrome status according to International Diabetes Federation criteria, and the presence of obstructive sleep apnea according to the STOP-Bang score, was collected. Analyses included hierarchical binary logistic regression to yield predictors of the two diseases. Results Hierarchical binary logistic regression showed that oxidative stress – alongside obesity, no regular exercise, and smoking – was an independent predictor of metabolic syndrome, but not obstructive sleep apnea. Participants who were obese were 28 times more likely to have metabolic syndrome (OR 28.59, 95% CI 4.91–63.02) and 44 times more likely to have obstructive sleep apnea (OR 44.48, 95% CI 4.91–403.28). Participants meeting metabolic syndrome criteria had significantly higher levels of malondialdehyde (p <  0.05) than those who did not. No difference in oxidative stress index levels were found according to obstructive sleep apnea status. Conclusions Our findings suggest that oxidative stress contributes to the onset of metabolic syndrome, and that obstructive sleep apnea is involved in oxidative stress. Whilst obesity, exercise, and smoking remain important targets for reducing the incidence of metabolic syndrome and obstructive sleep apnea, policies to control risks of prolonged exposure to oxidative stress are also relevant in occupations where such environmental conditions exist.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1953.3-1953
Author(s):  
J. Guo ◽  
W. Zhou ◽  
M. He ◽  
Z. Gu ◽  
C. Dong

Background:Fatigue of chronic diseases has been paid more and more attention. but the status of fatigue in gout patients has not been reported all the world[1].Objectives:In the absence of previous studies, our study aims to investigate the fatigue status, explore the potential predictors of fatigue and the effects of fatigue on health-related quality of life (HRQoL) among Chinese gout patients.Methods:This cross-sectional study was conducted from the Affiliated Hospital of Nantong University. A series of questionnaires were applied: Fatigue Scale-14 (FS-14), the 10 cm visual analog scale (VAS), the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder questionnaire (GAD-7), the Pittsburgh Sleep Quality Index (PSQI), Health Assessment Questionnaire(HAQ), the Short Form 36 health survey (SF-36). Laboratory examinations were taken to obtain some biochemical indicators. Independent samples t-test, Mann–Whitney U-test, Chi-square analysis, Pearson /Spearman correlation, Stepwise linear regression and binary logistic regression were used to analyze the data.Results:411 gout patients were included in this study. Among them, more than 50% patients reported physical fatigue in FS-14, severe disease, poor psychological status and reduced HRQoL were associated with fatigue. Multiple stepwise linear regression and binary logistic regression were applied and showed that pain, sleep quality, anxiety, depression and functional disorder were the potential predictors of fatigue. In addition, we found that the more severe the fatigue, the lower the patient’s HRQoL.Conclusion:Fatigue among gout patients is exceedingly common. The results of this study suggested that rheumatologists should pay closely attention to gout patients who suffer from serious fatigue, especially those with pain, poorer sleep quality, anxiety, depression and functional disorder.References:[1]Henry, A., Tourbah, A., Camus, G., Deschamps, R., Mailhan, L., Castex, C., Gout, O. & Montreuil, M. (2019) Anxiety and depression in patients with multiple sclerosis: The mediating effects of perceived social support, Multiple sclerosis and related disorders. 27, 46-51.Disclosure of Interests:None declared


2014 ◽  
pp. 391-420
Author(s):  
Monica Bastos Paoliello ◽  
Ana Carolina de Almeida Lopes

2011 ◽  
Vol 25 (S1) ◽  
Author(s):  
Xiu xia Han ◽  
Yong Y Sun ◽  
Ai G Ma ◽  
Dian C Jiang ◽  
Yong Li

2019 ◽  
Vol 4 (4) ◽  
pp. 113-116
Author(s):  
D.A. Tarbaeva ◽  
◽  
T.E. Belokrinitskaya ◽  
D.M. Serkin ◽  
◽  
...  

Sign in / Sign up

Export Citation Format

Share Document