Suchergebnisse

Abstract

Objectives
Polycyclic Aromatic Hydrocarbons (PAHs) are ubiquitous, toxic environmental chemicals that can cause adverse reproductive health effects. The objectives of this mini-review are to highlight the adverse reproductive outcomes due to PAH exposure with the main focus on polycystic ovary syndrome (PCOS) and premature ovarian failure (POF) and to provide perspectives on future research needs.


Content
We reviewed studies that have reported the adverse reproductive outcomes associated with PAHs exposures in women through a comprehensive search of bibliographic databases and gray literature sources. In addition, potentially modifiable sources of exposure to PAHs and associated reproductive outcomes were also investigated.


Summary
A total of 232 papers were retrieved through a comprehensive search of bibliographic databases, out of which three studies met the eligibility criteria and were included in the review. Results showed that exposure to PAHs is associated with adverse reproductive outcomes defined as PCOS, POF, and reproductive hormone imbalance. Sources of PAH exposure associated with adverse reproductive outcomes include active and passive tobacco smoking, specific cooking methods, and pesticides.


Outlook
Future studies are warranted to examine the mechanisms by which PAHs result in adverse reproductive endpoints in women. Further, environmental exposures that are potentially modifiable such as exposure to tobacco smoke, may contribute to PAH exposure, and these exposures should be targeted in future policies and interventions.

Purpose: To examine the relationship between several e-cigarette-related characteristics and daily e-cigarette use among adolescent current users. Design: Secondary analysis of 2016 National Youth Tobacco Survey data. Setting: United States middle schools and high schools. Sample: One thousand five hundred seventy-nine current e-cigarette users. Measures: Daily e-cigarette use and e-cigarette flavors, brands, device type, and acquisition were measured. Analysis: Logistic regression and Poisson regression models were built. Results: A total of 13.6% of current users reported daily use. Results indicated that daily users were at increased odds of using all flavor types (all P < .001), with the exception of menthol/mint, and using a higher number of flavors than nondaily users ( P < .001). Daily users were more likely to use Blu, eGo, Logic, Halo, NJOY, and another unlisted brand but less likely to report they did not know the brand used (all P ≤ .01). Daily users also reported using a higher number of brands than nondaily users ( P < .001). Daily users were at increased odds of using marijuana/tetrahydrocannabinol (THC) oil wax as device ingredients ( P < .001) and less likely to use only nicotine ( P < .001) or unknown ingredients ( P = .004). Daily users were more likely to acquire e-cigarettes from a vape shop, gas station/convenience store, Internet, mall/shopping center kiosk, drug store, grocery store, or other place (all P ≤ .01). Conclusion: Comprehensive efforts are needed to reduce e-cigarette use and nicotine addiction among adolescents.

Purpose: The purpose of this study was to assess patterns of health-care utilization among children who potentially had tobacco smoke exposure (TSE) compared to those who were not exposed. Design: A secondary data analysis of the 2011 to 2012 National Survey on Children's Health was performed. Setting: Households nationwide were selected. Participants: A total of 95 677 children aged 0 to 17 years. Measures: Sociodemographic characteristics, TSE status, and health-care visits were measured. Analysis: Multivariable logistic regression models were performed. Results: A total of 24.1% of children lived with smokers. Approximately 5% had home TSE. Participants who lived with a smoker were significantly more likely to have had a medical care visit (odds ratio [OR] = 1.22, confidence interval [CI] = 1.21-1.22) and were more likely to seek sick care or health advice at an emergency department (OR = 1.23, CI = 1.23-1.24) but were less likely to have had a dental care visit (OR = 0.82, CI = 0.82-0.83) than those who did not live with a smoker. Similar findings were found among participants who had home TSE. Conclusion: TSE is a risk factor for increased use of pediatric medical care. Based on the high number of children who potentially had TSE and received sick care or health advice at an emergency emergency department, this setting may be a venue to deliver health messages to caregivers.

Purpose: The study objective was to describe and compare changes in newly funded National Institutes of Health (NIH) tobacco-related awards between fiscal year (FY) 2006 and FY2016. Design: Secondary analysis of NIH data. Setting: National Institutes of Health Research Portfolio Online Reporting Tool database was used. Subjects: National Institutes of Health tobacco-related awards newly funded during FY2006 and FY2016. Measures: Search terms included tobacco, smoking, nicotine, secondhand smoke, and e-cigarettes. Grants and funding amounts were retrieved. Analysis: We calculated frequency distributions to determine the number and percentage of total NIH grants funded overall and by specific institute, and inflation-adjusted total and median funding amounts. We computed percentage differences in number of new grants, funding amounts, and percentage of funding allocated overall, and by institute. Results: There was a 187% increase in the percentage of total NIH funding allocated to new tobacco-related awards from 0.09% in FY2006 to 0.25% in FY2016. Total number of awards increased by 67% in FY2016 (n = 144; $56 015 931) compared to FY2006 (n = 86; $22 076 987), and there was a 154% increase in inflation-adjusted total funding for tobacco control. The top funding institutes were National Institute on Drug Abuse and National Cancer Institute; National Institute on Alcohol Abuse and Alcoholism was third in FY2006; and National, Heart, Lung and Blood Institute in FY2016. Research grants were the most frequently funded. Smoking cessation was a common topic area and increased by 64%. Conclusion: NIH funding is critical for advancing the science of nicotine and tobacco research.

Purpose: The '5-2-1-0' guidelines recommend that children: eat ≥5 servings of fruits/vegetables ('5'), have ≤2 hours of screen-time ('2'), have ≥1 hour of activity ('1'), and drink 0 sugar-sweetened beverages ('0') daily. The pediatric emergency department (PED) treats children at risk for obesity and tobacco smoke exposure (TSE). We examined body mass index (BMI), overweight, obesity, TSE, and '5-2-1-0' rates in children with TSE in the PED. Design: Cross-sectional study of PED children. Setting: The PED of a children's hospital. Sample: Children with TSE >6 months-5 years old (N = 401). Measures: Sociodemographics, '5-2-1-0' behaviors, BMI, and cotinine-confirmed TSE. Analysis: Associations between '5-2-1-0' and sociodemographics were examined with logistic regression. Results: Mean (SD) age = 2.4 (1.6) years; 53.1% were Black; 65.8% had low-income; and 93.4% had TSE. Of 2-5-year-olds, mean (SD) BMI percentile was 66.2 (30.1), 16.1% were overweight and 20.6% were obese. In total, 10.5% attained '5', 72.6% attained '2', 57.8% of 2-5-year-olds attained '1', and 9.8% attained '0'. Compared to White children, "other" race children were more likely to meet '5' (aOR(95% CI):4.67(1.41, 5.45)); 2-5-years-olds (aOR(95%CI):0.60(0.38, 0.95)) and Black children (aOR(95%CI):0.36(0.21, 0.60)) were at decreased odds to meet '2' compared to younger or White children, respectively. Compared to younger children, 2-5-year-olds were at decreased odds to meet '0' (aOR(95%CI):0.08(0.02, 0.26)). Conclusion: Racially diverse, low-income children with TSE had low '5-2-1-0' attainment. Interventions are needed to improve lifestyle habits in this population.

Purpose This study examined current (past 30-day) dual- and polytobacco use patterns and COVID-19 symptomatology, testing, and diagnosis status among college student electronic cigarette (e-cigarette) users. Design Cross-sectional online questionnaire administered during October–December 2020. Setting Four large, U.S. public universities in geographically diverse locations. Sample College students (N=756) ages 18–24 who reported current e-cigarette use. Measures Current use of e-cigarettes, combustible cigarettes, and cigars, and self-reported COVID-19 symptomatology, testing, and diagnosis status were measured. Analysis Multivariable logistic regression models accounting for students' demographics, university site, fraternity/sorority membership, and current residence. Results Over half (53.6%) of students were exclusive e-cigarette users, 20.4% were dual e-cigarette and combustible cigarette users, 4.6% were dual e-cigarette and cigar users, and 21.4% were poly users of e-cigarettes, combustible cigarettes, and cigars. Compared to exclusive e-cigarette users, dual users of e-cigarettes and combustible cigarettes (AOR=2.12, 95%CI=1.05–4.27) and poly users of e-cigarettes, combustible cigarettes, and cigars (AOR=3.70, 95%CI=1.78–7.70) had increased odds of COVID-19 symptomatology, even when accounting for covariates. While current tobacco use groups did not differ based on COVID-19 testing, polytobacco users had significantly increased odds (AOR=2.16, 95%CI=1.11–4.20) of having received a positive COVID-19 diagnosis. Conclusion Given use of two or more tobacco products increased COVID-19-related risks, results underscore the need to prevent dual- and polytobacco use behaviors in college student e-cigarette users.

Purpose: The study purpose was to examine changes in patterns of ever and current dual- and polyproduct use over time and to examine demographic and modifiable risk factors including tobacco smoke exposure (TSE). Design: A secondary analysis of the 2013 to 2015 National Youth Tobacco Survey data. Setting: Nationwide high schools were selected. Subjects: A total of 31 022 high school students. Measures: Ever and current (past 30 days) tobacco/nicotine product use, home tobacco/nicotine product use, TSE and e-cigarette vapor exposure, and demographic characteristics were measured. Analysis: Multivariable logistic regression and multinomial logistic regression models. Results: Of the students, 9.4% were ever dual users and 18.6% were ever poly users. Rates of ever/current use of e-cigarettes and hookah increased from 2013 to 2015 (all Ps < .001). In 2015, participants were 4.8 times (95% confidence interval [CI], 4.5-5.2) and 4.0 times (95% CI, 3.5-4.4) more likely to report ever/current e-cigarette use and 1.61 times (95% CI, 1.5-1.7) and 1.48 times (95% CI, 1.3-1.7) more likely to report ever/current hookah use. Participants reporting TSE were 15.4 times (95% CI, 11.5-21.0) more likely to report current poly use, and those with e-cigarette exposure were 10.4 times (95% CI, 7.8-13.8) more likely to report current poly use. Conclusion: From 2013 to 2015, rates of ever and current use of e-cigarettes and hookah increased. Tobacco smoke and e-cigarette exposure were associated with higher rates of dual and poly use. Prevention efforts targeting these products are needed.