Association of urinary arsenic, polycyclic aromatic hydrocarbons, and metals with cancers among the female population in the US.

BACKGROUND: Cancers that primarily affect women in the US include breast, uterine, and cervical cancers. There may be associations between these different types of cancer in women and environmental pollutant exposure. PURPOSE: This study aimed to assess seven species of arsenic, six polycyclic aromatic hydrocarbon (PAH) compounds, and fourteen different metal concentrations in urine and their correlation with cancer among women. METHODS: We conducted a cross-sectional analysis using 2011--2012 to 2015-2016 National Health and Nutrition Examination Survey data (n = 4,956) and logistic regression modeling of the complex weighted survey design. RESULTS: Breast cancer was inversely correlated with arsenocholine (3rd quantile), monomethylarsonic acid (4th quantile), manganese (4th quantile), and antimony (3rd, 4th quantiles). Cervical cancer was inversely correlated with 3-hydroxyfluorene (3rd quantile), molybdenum (2nd, 4th quantiles), antimony (3rd quantile), tin (4th quantile), and thallium (4th quantile) exposure and positively associated with arsenic acid (3rd quantile), arsenobetaine (2nd, 4th quantiles). Uterine cancer was correlated with 1-hydroxynaphthalene (3rd, 4th quantiles), 2-hydroxynaphthalene (4th quantile), 1-hydroxyphenathrene (2nd, 4th quantiles), 1-hydroxypyrene (3rd quantile), cobalt (2nd, 3rd quantiles) and inversely with mercury (4th quantile). CONCLUSION: This study determined breast cancer and arsenic and some metal species exposure, indicating an inverse association. Arsenic acid and arsenobetaine exposure showed a positive correlation with cervical cancer. For uterine cancer, the correlations for the PAH compounds and cobalt showed a positive correlation, and the arsenic species and mercury were inversely associated. Further research is required to establish or refute the findings.

Exposure to arsenic, polycyclic aromatic hydrocarbons, metals, and association with skin cancers in the US adults.

Worldwide, skin cancer affects millions of people yearly and is broadly classified into melanoma and nonmelanoma types of skin cancer. The toxicity of metals to human health is a public and clinical health problem due to their widespread use in tools, machinery, and appliances as well as their widespread distribution in the air, water, and soil. Arsenic is a carcinogenic metalloid and available in the Earth's crust. Polycyclic aromatic hydrocarbons (PAHs) are toxic to humans, and incomplete combustion of fossil fuels is the main source of PAHs. Human populations exposed to metals from various sources can lead to various diseases including cancer. Limited studies are conducted to simultaneously assess the correlation of multiple arsenic, PAHs, metals with the occurrence of skin cancer. This study aimed to analyze the association between six PAHs compounds, seven types of arsenic, and fourteen metals from urine specimen with skin cancer in US adults. We performed a cross-sectional analysis using data from a total of 14,716 adults from the National Health Examination and Nutrition Survey (NHANES) database for three cycles ranging from 2011-2012 to 2015-2016. Specialized weighted complex survey logit regressions were conducted. Linear logit regression models using only main effects were performed first to identify the correlation between the selected demographic and lifestyle variables and melanoma, nonmelanoma, and unknown types of skin cancer. A second set of linear, main-effects logit regression models were constructed to examine the correlation between melanoma, nonmelanoma, and other types of skin cancers and seven types of arsenic (arsenous acid, arsenic acid, arsenobetaine, arsenocholine, dimethylarsinic acid, monomethylacrsonic acid, and total arsenic), six PAHs (1-hydroxynaphthalene, 2-hydroxynaphthalene, 3-hydroxyfluorene, 2-hydroxyfluorene, 1-hydroxyphenathrene, and 1-hydroxypyrene), and fourteen metals (barium, cadmium, cobalt, cesium, molybdenum, manganese, lead, antimony, tin, strontium, thallium, tungsten, uranium, and mercury) when adjusted for the selected covariates. The statistical analysis was conducted using R software, version 4.0.4. A marginal positive significant correlation between total arsenic and nonmelanoma was observed. This study identified a significant positive association between barium, cadmium, cesium, mercury, tin, and melanoma development. Cesium showed a significant positive statistical association for nonmelanoma, and thallium showed a borderline significant statistical association for nonmelanoma. A statistically significant positive association was found between cadmium and an unknown type of skin cancer. The findings of this study indicated a statistically significant positive association between skin cancer and barium, cadmium, cesium, tin, mercury, and thallium. Further studies are recommended in humans to refute or confirm these findings.

Sleeping behavior and associated factors during COVID-19 in students at a Hispanic serving institution in the US southwestern border region.

Sleep is responsible for maintenance and regulatory functions in human physiology. Insufficient sleep has been associated with cardiovascular disease, weight gain, obesity, inflammation, and morbidity. University students are at high risk under normal circumstances of stress and anxiety due to extracurricular demands, competing pressures on student time, long study hours, and financial concerns. The COVID 19 pandemic has disrupted normal college students' lives adding stresses such as lost jobs and family responsibilities such as serving as caregivers, which disproportionally affect minority and rural student. This study aimed to assess the correlation of sleep disorders in New Mexico State University students during COVID 19 with selected variates including base demographics (e.g., gender, age, etc.), lifestyle metrics (e.g., employment status, discipline, class, etc.), living arrangements (e.g., housing type, number of children, etc.), alcohol and tobacco use, vaccination status, family COVID status, and family vaccination status. Single- and multi-factor logistic regressions were performed to analyze the data on the students. Qualtrics software was used to collect data on demographics and sleep disorders. R software was used for data analysis. Correlations were found between sleeping less, sleeping more, and disturbed sleep among several covariate categories. For all three responses, being married (sleeping less: OR = 0.342, 95% CI = 0.181-0.642, sleeping more: OR = 0.265, 95% CI = 0.111-0.591; disturbed sleeping: OR = 0.345, 95% CI = 0.182-0.650), frequency of feeling sleepy-very often (OR = 16.87, 95% CI = 6.571-47.434; OR = 8.393, 95% CI = 3.086-25.298; OR = 13.611, 95% CI = 5.409-36.975) and change in diet- quality decreased (OR = 7.304, 95% CI = 3.615-15.270; OR = 5.250, 95% CI = 2.309-12.558; OR = 4.181, 95% CI = 2.145-8.359) were all significant correlated to change in sleeping behavior. Other correlations were found among covariates and sleep changes. Several covariates were determined to be correlated with the effect of COVID-19 on sleeping.

Prevalence of associated factors on depression during COVID 19 in students in a minority serving institution: A cross sectional study.

Introduction: The COVID-19 pandemic changed the learning style of university students in the US, affecting their mental health of students. This study aims to understand the factors that influenced depression during the COVID-19 pandemic in the New Mexico State University (NMSU) student population. Methods: A questionnaire assessing mental health and lifestyle factors was delivered to NMSU students by using QualtricsXM software. Depression was assessed using the Patient Health Questionnaire- 9 (PHQ-9); depression was defined as a score ≥10. Single and multifactor logistic regression was performed using R software. Results: This study determined that the prevalence of depression among female students was 72% and 56.30% among male students. Several covariates were significant for increased odds of depression in students, including decreased diet quality (OR: 5.126, 95% CI: 3.186-8.338), annual household income $10,000 - $20,000 (OR: 3.161, 95% CI: 1.444-7.423), increased alcohol consumption (OR: 2.362, 95% CI: 1.504-3.787), increased smoking (OR: 3.581, 95% CI:1.671-8.911), quarantining due to COVID (OR: 2.001, 95% CI: 1.348-2.976), and family member dying of COVID (OR: 1.916, 95% CI: 1.072-3.623). Covariates of being male (OR: 0.501, 95% CI: 0.324-0.776), married (OR: 0.499, 95% CI: 0.318-0.786), eating a balanced diet (OR: 0.472, 95% CI: 0.316-0.705), and sleeping 7-8 h per night (OR: 0.271, 95% CI: 0.175-0.417) were all protective factors for depression in NMSU students. Limitation: This is a cross-sectional study, and therefore, causation cannot be determined. Conclusion: Several factors regarding demographics, lifestyle, living arrangements, alcohol and tobacco use, sleeping behavior, family vaccination, and COVID status were significantly associated with depression in students during the COVID-19 pandemic.

Association between asthma, chronic bronchitis, emphysema, chronic obstructive pulmonary disease, and lung cancer in the US population.

Lung cancer is one of the primary causes of death with poor life expectancy after diagnosis. History of past respiratory diseases such as asthma, chronic obstructive lung disease (COPD), emphysema, and chronic bronchitis can increase the risk of lung cancer. Very few studies are available to simultaneously assess multiple respiratory diseases and lung cancer. The objective of this study was to investigate correlations between asthma, emphysema, chronic bronchitis, and chronic obstructive lung disease with lung cancer in the US adult population. This was a cross-sectional study using data from a total of 23,523 adult participants from the National Health Examination and Nutrition Survey (NHANES) datasets for seven cycles ranging from 2003-2004 to 2015-2016. To analyze the data, specialized weighted complex survey logit regressions were conducted. Linear logit regression models using only main-effects were constructed first to assess the correlation between the selected demographic and lifestyle variables and asthma, emphysema, chronic bronchitis, and COPD. A second set of linear, main-effects logit regression models were constructed to examine the correlation between lung cancer and asthma, emphysema, chronic bronchitis, COPD when corrected for the selected covariates. The study identified positive correlations between emphysema, chronic bronchitis, COPD, and lung cancer. No correlation between asthma and lung cancer was established. Of the covariates studied, race/ethnicity, marital status, highest educational level, age, family income to poverty ratio, and lifetime smoking were also found to be correlated with the presence of lung cancer. Correlations between the covariates gender, body mass index, alcohol consumption, and country of birth and lung cancer were not found. The study established statistically significant correlations between lung cancer and the lung diseases emphysema, chronic bronchitis, and COPD. The lack of association between asthma and lung cancer may arise from the timeline of diagnosis asthma or type of lung cancer. The study also established significant correlations between lung cancer and several of the covariates included in the analysis. It also established correlations between the covariates and the lung diseases asthma, emphysema, chronic bronchitis, and COPD.

Arsenic exposure and prevalence of human papillomavirus in the US male population.

Arsenic is a known carcinogen and is naturally available in earth's crust. Inorganic arsenic is an environmental pollutant with immunosuppressive properties. Human papillomavirus (HPV) is considered one of the most common sexually transmitted diseases in the United States. HPV is linked to several types of cancers in males, including oral, anal, and penile cancer. However, limited information is available on the effect of arsenic on HPV in males. The purpose of this study was to examine the association of urinary arsenic species (speciated and total) and the prevalence of HPV infection in the male population. HPV prevalence in males was analyzed using the 2013-2014 and 2015-2016 National Health and Nutrition Examination Survey (NHANES) dataset. Logistic regression analysis was used to examine associations of seven types of urinary arsenic species (arsenous acid, arsenic acid, arsenobetaine, arsenocholine, dimethylarsinic acid (DMA), monomethylarsonic acid (MMA), total arsenic acid) with HPV risk for male participants aged 18-59 years (N = 1516). Demographic characteristics were included in the logistic regression model for each arsenic variable. All statistical analyses were conducted by using the software R (version 4.2.0). Increasing DMA was positively associated with the prevalence of low-risk HPV (odds ratio (OR): 1.075, 95% confidence interval (CI): 1.025, 1.128) in addition to the sum of total toxic arsenic species (TUA1) including arsenous acid, arsenic acid, DMA, and MMA (OR: 1.068, 95% CI: 1.022, 1.116). High-risk HPV strains were found to be positively associated with arsenic acid (OR: 1.806, 95% CI: 1.134, 2.876) and total arsenic minus the sum of the two organic arsenic species arsenobetaine and arsenocholine (TUA2) at quartile 3 (Q3) level (OR: 1.523, 95% CI: 1.102, 2.103). The logistic regression models also showed that race and marital status were significant factors related to high-risk HPV. Our study reported that DMA and TUA1 are associated with low-risk HPV and arsenic acid is associated with high-risk HPV infections in males. Future research is required to confirm or refute this finding.

Urinary polycyclic aromatic hydrocarbon, arsenic, and metal exposure and correlation with emphysema in smokers.

PURPOSE: Environmental exposure to metals and chemicals can increase the risk of acute and chronic pulmonary diseases in the human population. This study aimed to analyze seven forms of polycyclic aromatic hydrocarbons (PAHs), seven types of arsenic species, fourteen types of urinary metals including antimony, barium, cadmium, cesium, cobalt, lead, manganese, mercury, molybdenum, strontium, thallium, tin, tungsten, uranium, and the link with emphysema in the US adult cigarette smoking population. METHODS: A specialized weighted complex survey design analysis using 2011-2016 National Health and Nutrition Examination Survey (NHANES) datasets was conducted. Multivariate logistic regression models were used to assess the association between urinary metals, arsenic, PAHs, and emphysema in adult smokers. R software was used to conduct the statistical analysis. RESULTS: All 4th quantile concentrations of PAHs, including 1-hydroxynaphthalene, 2-hydroxynaphthalene, 3-hydroxyfluorene, 2-hydroxyfluorene, 1-hydroxypyrene, 1-hydroxyphenanthrene, and 2 & 3-hydroxyphenanthrene, were significantly associated with emphysema in smokers. The 3rd quantile of 1-hydroxypyrene were also associated with increased odds of emphysema in smokers. Among arsenic and metals, the 4th quantile of cadmium was associated with an increased odds of emphysema in smokers. The 3rd quantile of dimethylarsinic acid (DMA) and 4th quantile of mercury were found to have inverse relationships with emphysema in smokers. Several demographic factors had significant associations with emphysema in smokers. CONCLUSION: Urinary PAHs and cadmium were associated with increased odds of emphysema in smokers. DMA and mercury had an inverse association with emphysema in smokers.

Association of urinary arsenic and sleep disorder in the US population: NHANES 2015-2016.

Arsenic is a known carcinogen and neurotoxin and is found in the natural earth crust. Arsenic exposure can develop depression, memory dysfunction, and neurodegenerative disorder. The mechanism of arsenic toxicity on the nervous system is not known. There is a lack of research on the association between arsenic exposure and sleep disturbance in humans. This study aims to investigate the relationship between six types of urinary speciated arsenic exposure and sleep disturbance in adults from the general population using the National Health and Nutrition Examination Survey (NHANES) 2015-2016 dataset. Sleep disturbance was measured using self-reported questionnaires, asking participants if they had ever told a doctor they had trouble sleeping. We utilized multivariate logistic regression analysis using complex survey procedures to examine the association between six types of urinary arsenic concentration and trouble sleeping. The total sample included 1,611 adults who were 20 years and older. Of the study participants, 30.0% had trouble sleeping. Compared to individuals with urinary arsenous acid below the lower level of detection (LLOD), those with urinary arsenous acid at or above the detection limit had lower odds of trouble sleeping [odds ratio: 0.72 (95% confidence interval 0.51-1.00, p-value: 0.05)]. The other five types of urinary speciated arsenic studied (arsenic acid, arsenobetaine, arsenocholine, dimethylarsinic acid, monomethylarsonic acid) were not associated with a sleep disorder. More studies are required to confirm or refute these findings.

Association of chronic kidney disease with exposure to polycyclic aromatic hydrocarbons in the US population.

Polycyclic aromatic hydrocarbons (PAHs) are environmental pollutants formed from the incomplete combustion of carbon-containing products. Exposure can occur through ingestion or inhalation and has been linked to depression, stroke, liver disease, asthma, diabetes, heart failure, and cancer. Few studies have investigated the association between exposure to PAHs and chronic kidney disease (CKD) in humans. This study aims to investigate the association between seven urinary PAH concentrations (1-hydroxynaphthalene, 2-hydroxynaphthalene, 3-hydroxyfluorene 2-hydroxyfluorene, 1-hydroxyphenanthrene, 1-hydroxypyrene, and 2 & 3-hydroxyphenanthrene) and CKD in the US adult population. A cross-sectional analysis using the 2015-2016 National Health and Nutrition Examination Survey (NHANES) dataset was conducted. CKD was defined with estimated glomerular filtration rate (eGFR) and albumin to creatinine ratio (ACR). Participants with an eGFR < 60 ml/min/1.73m2 or ACR > 30 mg/gm were considered to have CKD. A specialized complex survey design analysis package using R version 4.0.3 was used in the data analysis. Multivariate logistic regression was used to study the correlation between seven forms of urinary PAH concentrations and CKD associated with abnormal eGFR or ACR. The models were adjusted for lifestyle and demographic factors. The study included a total of 4117 adults aged ≥ 20 years, with 49.6% males and 50.4% females. Urinary 2-hydroxynaphthalene (OR: 1.600, 95% CI: 1.141, 2.243) was significantly associated with an increased odds of CKD; the other six forms of urinary PAHs were not associated with CKD. Non-Hispanic Black (OR: 1.569, 95% CI: 1.168, 2.108), age of 60 years and older (OR: 2.546, 95% CI: 1.865, 3.476), and BMIs of underweight (OR: 2.386, 95% CI: 1.259, 4.524) and obese (OR: 1.407, 95% CI: 1.113, 1.778) all had significantly increased odds for CKD. Our study concluded that urinary 2-hydroxynaphthalene, a form of PAH, is significantly associated with CKD.

Association among urinary polycyclic aromatic hydrocarbons and depression: a cross-sectional study from NHANES 2015-2016.

Polycyclic aromatic hydrocarbons (PAHs) are a group of chemicals produced from incomplete combustion of carbon-containing products. PAH exposure is associated with pulmonary disease, cardiovascular disease, liver disease, and cancer. However, studies on the exposure to PAHs and depression are limited. The aim of this study is to investigate the relationship between seven types of urinary PAH exposure and depression in the adult population using the National Health and Nutrition Examination Survey (NHANES)2015-2016 dataset. The nine-item Patient Health Questionnaire (PHQ-9) was used to assess for depression; a PHQ-9 score ≥ 10 was considered depressed. Multivariate logistic regression analysis for complex survey procedures was used to assess the relationship between seven types of PAH exposure and depression. A total of 4,123 adults aged ≥20 years were included in the study sample. All forms of urinary PAHs studied, including 1-hydroxynaphthalene, 2-hydroxynaphthalene, 3-hydroxyfluorene, 2-hydroxyfluorene, 1-hydroxyphenanthrene, 1-hydroxypyrene, and 2 and 3-hydroxyphenanthrene, were positively associated with depression.

Urinary speciated arsenic and depression among US adults.

Arsenic is a naturally occurring chemical in the environment. The International Agency for Research on Cancer (IARC) declared arsenic a class 1 human carcinogen. The inorganic form of arsenic is considered toxic to the human population; arsenic is a neurotoxin and can cause memory dysfunction. Very few studies have investigated the association between exposure to arsenic and depression in humans. The purpose of this study was to assess the association between urinary speciated arsenic and depression among adults in the USA using the 2015-2016 National Health and Nutrition Examination Survey (NHANES) III dataset. Depression was measured using the nine-item Patient Health Questionnaire (PHQ-9). We computed a total depression score from the PHQ-9 and categorized individuals with a score ≥ 10 as depressed. The exposure included six different speciated arsenic concentrations dichotomized as at or above the limit of detection and below the limit of detection. We conducted a crude and multivariate logistic regression analysis using complex survey procedures to assess the association between speciated arsenic concentrations and depression. The sample included 1619 adults, of whom approximately half were females (51.69%) and married (53.29%). Seven percent of the sample had depression. Urinary arsenous acid was significantly associated with depression. In the adjusted model, arsenous acid was associated with depression with an odds ratio of 1.76 (95% CI 1.05-2.96, p = 0.035). No other forms of arsenic were significantly associated with depression. In this study, urinary arsenous acid was significantly associated with depression. Future research in humans is required to confirm or refute this finding.