scholarly journals Association between parents’ smoking status and tobacco exposure in school-age children: assessment using major urine biomarkers

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sung Hoon Jeong ◽  
Bich Na Jang ◽  
Soo Hyun Kang ◽  
Jae Hong Joo ◽  
Eun-Cheol Park
Keyword(s):  
Secondhand Smoke ◽  
Smoking Status ◽  
School Age Children ◽  
School Age ◽  
Tobacco Exposure ◽  
Health And Nutrition ◽  
Risk Of Exposure ◽  
Using Data ◽  
Free Environment ◽  
Exposure To Secondhand Smoke

AbstractChildren are at risk of exposure to secondhand smoke. We aimed to evaluate the extent of their exposure to it in relation to their parents’ smoking status by using biomarkers relevant to smoking. We evaluated 847 school-age children (6–12 years) who lived with their parents, using data from the Korea National Health and Nutrition Examination Survey 2016–2018. Secondhand smoke exposure in children of non-smoking and smoking parents was assessed by measuring urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and cotinine concentrations. Overall, the parents of 482 (55.1%) children smoked and those of 392 (44.9%) children did not smoke. After adjusting for covariates, significantly higher concentrations of NNAL (β = 0.482, standard error [S.E.] = 0.065, P < 0.001) and cotinine (β = 0.472, S.E. = 0.06, P < 0.001) were found in children of smoking parents than in children of non-smoking parents. Children of parents who smoked a higher number of cigarettes showed higher NNAL and cotinine concentrations than children of non-smoking parents. Children with both parents who smoked showed the highest NNAL and cotinine concentrations. Children of smoking parents are at a higher risk of exposure to secondhand smoke. A smoke-free environment must be maintained to protect children from the harmful effects of secondhand smoke. Therefore, comprehensive national anti-smoking policies are required.

scholarly journals Association Between Parents’ Smoking Status and Tobacco Exposure in School-Age Children: Assessment Using Major Urine Biomarkers

2020 ◽  
Author(s):  
Sung Hoon Jeong ◽  
Bich Na Jang ◽  
Soo Hyun Kang ◽  
Jae Hong Joo ◽  
Eun-Cheol Park
Keyword(s):  
Secondhand Smoke ◽  
Smoking Status ◽  
School Age Children ◽  
School Age ◽  
Tobacco Exposure ◽  
Health And Nutrition ◽  
Risk Of Exposure ◽  
Using Data ◽  
Free Environment ◽  
Exposure To Secondhand Smoke

Abstract Children are at risk of exposure to secondhand smoke. We aimed to evaluate the extent of their exposure to it in relation to their parents’ smoking status by using biomarkers relevant to smoking. We evaluated 847 school-age children (6–12 years) who lived with their parents, using data from the Korea National Health and Nutrition Examination Survey 2016–2018. Secondhand smoke exposure in children of non-smoking and smoking parents was assessed by measuring urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and cotinine concentrations. Overall, the parents of 482 (55.1%) children smoked and those of 392 (44.9%) children did not smoke. After adjusting for covariates, significantly higher concentrations of NNAL (β=0.482, standard error [S.E.]=0.065, P<0.001) and cotinine (β=0.472, S.E.=0.06, P<0.001) were found in children of smoking parents than in children of non-smoking parents. Children of parents who smoked a higher number of cigarettes showed higher NNAL and cotinine concentrations than children of non-smoking parents. Children with both parents who smoked showed the highest NNAL and cotinine concentrations. Children of smoking parents are at a higher risk of exposure to secondhand smoke. A smoke-free environment must be maintained to protect children from the harmful effects of secondhand smoke. Therefore, comprehensive national anti-smoking policies are required.

scholarly journals On the relative role of different age groups during influenza A epidemics in Germany, 2002-2017

2017 ◽  
Author(s):  
Edward Goldstein
Keyword(s):  
Influenza A ◽  
Communicable Disease ◽  
Age Groups ◽  
School Age Children ◽  
Relative Role ◽  
School Age ◽  
Limited Information ◽  
School Students ◽  
Using Data

AbstractBackgroundThere is limited information about the role of different age groups, particularly subgroups of school-age children and younger adults in propagating influenza epidemics.MethodsFor a communicable disease outbreak, some subpopulations may play a disproportionate role during the ascent of the outbreak due to increased susceptibility and/or contact rates. Such subpopulations can be identified by considering the proportion that cases in a subpopulation represent among all cases in the population occurring before the epidemic peak (Bp), the corresponding proportion after the epidemic peak (Ap), to calculate the relative risk for a subpopulation, RR=Bp/Ap. We estimated RR for several age groups using data on reported influenza A cases in Germany between 2002-2017.ResultsChildren aged 14-17y had the highest RR estimates for 7 out of 15 influenza A epidemics in the data, including the 2009 pandemic, and the large 2016/17, 2008/09, and 2006/07 seasons. Children aged 10-13y had the highest RR estimates during 3 epidemics, including the large 2014/15 and 2004/05 seasons. Children aged 6-9y had the highest RR estimates during two epidemics, including the large 2012/13 season. Children aged 2-5y had the highest RR estimate during the moderate 2015/16 season; adults aged 18-24y had the highest RR estimate during the small 2005/06 season; adults aged 25-34y had the highest RR estimate during the large, 2002/03 season.ConclusionsOur results support the prominent role of all school-age children, particularly the oldest ones, in propagating influenza epidemics in the community. We note that national vaccination coverage levels among older school-age children were lower than among younger school-age children during the recent influenza seasons in the US, and influenza vaccination program in England has not been phased in yet for secondary school students.

Childhood Secondhand Smoke Exposure and Risk of Dementia, Alzheimer’s Disease and Stroke in Adulthood: A Prospective Cohort Study

2021 ◽  
pp. 1-6
Author(s):  
S. Zhou ◽  
K. Wang
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Secondhand Smoke ◽  
Smoking Status ◽  
Smoke Exposure ◽  
Secondhand Smoke Exposure ◽  
Heart Study ◽  
Wide Range ◽  
Exposure To Secondhand Smoke

Background: This study aimed to investigate the associations between secondhand smoke exposure and dementia, Alzheimer’s disease (AD) and stroke. Methods: This prospective study analyzed Framingham Offspring (FHS-OS) cohort participants with parents in the original Framingham Heart Study (FHS) cohort with known smoking status during offspring childhood. Surveillance for incident events, including dementia and stroke, among offspring participants exposed to parental smoking up to the age of 18 years commenced at examination 9 through 2014 and continued for approximately 30 years. Results: At baseline, a total of 1683 (56.2%) subjects were not exposed to any secondhand smoke, whereas 670 (22.4%) subjects were exposed to 0-1 packs (20 cigarettes)/day, and 640 (21.4%) were exposed to over 1 pack/day. On follow-up (median: 31 years), 2993 patients developed dementia, including 103 with AD dementia and 315 with stroke. After adjusting for a wide range of established risk factors, participants with the highest exposure to secondhand smoke exhibited increased risks of all dementia, AD dementia and stroke compared with individuals with no exposure [HR 2.86 (2.00-4.09) for dementia; HR 3.13 (1.80-5.42) for AD dementia; HR 1.89 (1.37-2.61) for stroke]. The results remained comparable in the subgroup for individuals with median exposure to secondhand smoke. Conclusion: Exposure to secondhand smoke may be associated with increased risks of dementia, AD dementia and stroke.

scholarly journals Exposure to Secondhand Smoke: Inconsistency between Self-Response and Urine Cotinine Biomarker Based on Korean National Data during 2009–2018

2021 ◽  
Vol 18 (17) ◽  
pp. 9284
Author(s):  
Boram Sim ◽  
Myung-Bae Park
Keyword(s):  
Secondhand Smoke ◽  
Vulnerable Groups ◽  
Exposure Rate ◽  
Short Term ◽  
The Past ◽  
Health And Nutrition ◽  
Urine Cotinine ◽  
Short Term Exposure ◽  
Shs Exposure ◽  
Exposure To Secondhand Smoke

This study aimed to estimate the secondhand smoke (SHS) exposure using urinary cotinine (UCo) to prove that the SHS exposure could not be properly assessed by self-reporting (SR). In total, 28,574 nonsmokers aged >19 years were selected from the Korean National Health and Nutrition Examination Survey data (2009–2018). First, changes in the annual concentration of UCo were analyzed, and the annual SHS exposure rates were measured based on SR and UCo from 2009 to 2018. Then, the average UCo concentration and UCo-measured SHS exposure rate were confirmed according to the subjects’ characteristics. Finally, factors associated with the UCo-measured SHS exposure rate were identified based on multiple regression analysis. The findings showed that the annual UCo concentrations and self-reported SHS exposure rates dropped significantly over the past decade. In contrast, the UCo-measured SHS exposure rate indicated that >80% of nonsmokers are still exposed to SHS. Moreover, we found vulnerable groups using UCo-measured SHS exposure rate. In particular, the self-reported SHS exposure at home and in workplaces and house type was highly associated with SHS exposure. Thus, these findings indicate that the actual SHS exposure could not be properly assessed by SR and should be verified using a biomarker, such as UCo. Considering that even a short-term exposure can be harmful to health, the goal of the policy should be to keep cotinine concentration as low as possible.

scholarly journals Prevalence and Characteristics of Smoking Among School-Going Adolescents in Kuala Lumpur, Malaysia

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 21s-21s
Author(s):  
K.Y. Low ◽  
S.J. Jag Singh ◽  
H.S. Mohd Hashim ◽  
C. Lim ◽  
N.I. Junazli ◽  
...  
Keyword(s):  
Secondhand Smoke ◽  
Smoking Status ◽  
Objective Measurement ◽  
Smoke Inhalation ◽  
Kuala Lumpur ◽  
Tobacco Products ◽  
Adolescent Smokers ◽  
Passive Smoke ◽  
The Mean ◽  
Exposure To Secondhand Smoke

Background: According to the World Health Organization (WHO) (2014), noncommunicable diseases (NCDs) such as cancer, cardiovascular disease and respiratory disease account for a majority of premature deaths in the Malaysian population. Tobacco smoking remains a leading risk factor for these diseases. Although there have been previous population-level studies which have highlighted adolescent smokers in Malaysia, little has been done to specifically ascertain smoking prevalence within a school-going population using objective measurement tools. Aim: This study aimed to identify the prevalence of school-going adolescent smokers in Kuala Lumpur via an objective measurement - expired carbon monoxide (CO) in parts per million (ppm). Methods: This study was a cross-sectional study that involved 2,679 high school-going adolescents aged between 13 to 18 years old in Kuala Lumpur, Malaysia. The level of exhaled CO (Smokerlyzer test) of all the participants was measured. Participants were also administered with a survey conducted right after the Smokerlyzer test to determine i) whether they smoked or not; ii) type of tobacco products used if smoked; iii) vaping or shisha usage; and iv) exposure to secondhand smoke. The categorization of smoking status was based on CO-ppm reading: ≤ 3 ppm (nonsmoker); 3 < ppm ≤ 6 (light smoker or nonsmoker breathing in poor air quality or passive smoke inhalation); ≥ 7 ppm (regular smoker with higher levels of CO in blood). Descriptive analysis was conducted to determine the demographics of the study population. Inferential analysis was carried out utilizing χ2 tests or Student t-tests to test associations between smoking status and other independent variables. One-way ANOVA test was conducted to compare the differences in CO-ppm readings. Results: The mean age of the adolescents (n=2,679) was 14.5 ± 1.2 years old (median: 14) and 55.1% were male. Interestingly, vaping was the most commonly used method of tobacco use among the studied adolescents, regardless of gender, followed by cigarettes and shisha. The mean CO-ppm reading for male adolescents was significantly higher than female adolescents. Passive smoke inhalation (exposure to secondhand smoke) was significantly associated with higher readings of CO-ppm. A significant association was determined between status of exposure to secondhand smoke and a history of usage of any form of tobacco products. Conclusion: The prevalence of smoking adolescents, regardless of gender, in Kuala Lumpur remains at a worrying state. Objective measurements such as Smokerlyzer test can be coupled with self-reported questionnaire in targeting adolescent smokers within a structured setting such as a school and can help form part of an effective school-based smoking cessation intervention program targeting adolescents in Malaysia. This is in line with efforts to make Malaysia a smoke-free nation by 2045.

scholarly journals Association between Caffeine Consumption and Depression in NHANES 2009-2010

2018 ◽  
Vol 16 (1) ◽  
pp. 16-23
Author(s):  
Janice M. Pogoda ◽  
Galilea Patricio ◽  
Archana J. McEligot
Keyword(s):  
Smoking Status ◽  
Caffeine Consumption ◽  
Complex Survey ◽  
Metabolite Level ◽  
Health And Nutrition ◽  
Health Related ◽  
Survey Sample ◽  
Independent Variable ◽  
Logistic Regressions ◽  
Using Data

Background and Purpose: Caffeine is ubiquitous in foods, supplements, and medications and has been hypothesized to be associated with several health-related outcomes, including mental health disorders such as anxiety. We explored a possible relationship between caffeine consumption and depression using data from the National Health and Nutrition Examination Survey (NHANES). Methods: Data from 1,342 adult NHANES participants were included. Statistical software for complex survey sample designs was used to perform two multivariable logistic regressions with a binary indicator of depression as the dependent variable: one using dietary caffeine consumption and one using the caffeine metabolite AAMU as the independent variable. Both analyses were adjusted for gender, race/ethnicity, smoking status, and use of anti-depressants. Results: We observed a descriptive, albeit non-significant (p = 0.12), pattern of increasing odds of depression with increasing levels of the AAMU caffeine metabolite. Conclusion: Our finding of a possible association between caffeine metabolite level and depression is compelling because it is independent of self-reported caffeine consumption. Prospective studies are warranted to further explore the temporal relationship.

scholarly journals Estimation of lifetime cumulative mortality risk of lung cancer by smoking status in Japan

2020 ◽  
Vol 50 (10) ◽  
pp. 1218-1224
Author(s):  
Megumi Hori ◽  
Eiko Saito ◽  
Kota Katanoda ◽  
Shoichiro Tsugane
Keyword(s):  
Lung Cancer ◽  
Life Table ◽  
Mortality Risk ◽  
Secondhand Smoke ◽  
Smoking Status ◽  
Cumulative Risk ◽  
Cumulative Mortality ◽  
Shs Exposure ◽  
Estimated Risk ◽  
Exposure To Secondhand Smoke

Abstract The main objective of this study was to estimate the cumulative mortality risk for lung cancer according to smoking status and exposure to secondhand smoke (SHS) in Japan. We applied a life-table method to estimate the cumulative risk. Estimated lifetime cumulative risk for 20-year-old non-smokers, former, and current smokers was 3.2%, 7.6%, and 14.9% for men and 1.9%, 5.6%, and 7.2% for women, respectively. For males, the estimated risk was 3.2% for non-smokers not exposed to SHS and 4.1% for non-smokers exposed to SHS. For females, the estimated risk was 1.9% for non-smokers not exposed to SHS and 2.4% for non-smokers exposed to SHS. Lifetime cumulative mortality risk differed greatly according to smoking status. Moreover, SHS exposure resulted in observable differences in lifetime mortality risk. This study may be useful for the development of tailored prevention programs.

scholarly journals Frequency of Exposure to Secondhand Smoke Outside the Home Is Associated with a Lower FEV1/FVC in Male Workers Regardless of Smoking Status

2019 ◽  
Vol 41 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Atsushi INOMOTO ◽  
Hiroshi YAMATO ◽  
Ryoma MICHISHITA ◽  
Ying JIANG ◽  
Shingo NISHIYAMA ◽  
...  
Keyword(s):  
Secondhand Smoke ◽  
Smoking Status ◽  
Exposure To Secondhand Smoke ◽  
Male Workers

scholarly journals Unraveling the Relationship between Smoking and Weight: The Role of Sedentary Behavior

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Annette Kaufman ◽  
Erik M. Augustson ◽  
Heather Patrick
Keyword(s):  
Sedentary Behavior ◽  
Smoking Status ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Former Smokers ◽  
Never Smokers ◽  
Using Data ◽  
The Relationship

Research has shown that current smokers have a lower mean body mass index (BMI) than never and former smokers, with former smokers having the highest mean BMI. A number of physiological mechanisms have been hypothesized to explain this pattern, but few studies have explored the possible role of behavioral factors. Using data from the cross-sectional National Health and Nutrition Examination Survey 1999–2006, this descriptive study explored the associations among smoking status, sedentary behavior, and two anthropometric measures (BMI and waist circumference (WC)). Sedentary behavior was significantly higher among current smokers compared to never and former smokers; former smokers had higher levels of sedentary behavior compared to never smokers. The association between smoking status and anthropometric outcomes was moderated by sedentary behavior, with current smokers evidencing higher BMI and WC at higher levels of sedentary behavior compared to lower levels of sedentary behavior. Results are discussed in terms of their implications for interventions, particularly with respect to postcessation weight gain.

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