Literature DB >> 35129597

Prevalence and Income-Related Disparities in Thirdhand Smoke Exposure to Children.

Georg E Matt1, Ashley L Merianos2, Penelope J E Quintana3, Eunha Hoh3, Nathan G Dodder3, E Melinda Mahabee-Gittens4,5.   

Abstract

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Year:  2022        PMID: 35129597      PMCID: PMC8822372          DOI: 10.1001/jamanetworkopen.2021.47184

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


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Introduction

Thirdhand smoke (THS) is the residue that lingers on surfaces and in dust in environments where tobacco was used.[1,2] Children face greater risks from THS exposure than adults because of more time indoors, frequent hand-to-mouth behaviors, high intake relative to body weight, immature immune systems, and developing organs.[2,3] In this study, we estimate the proportion of children younger than 12 years who are exposed to THS in the absence of secondhand smoke and examine factors associated with THS exposure.

Methods

We conducted a cross-sectional study wherein we screened children (younger than 12 years) seeking emergency care (n = 269) and the children of employees (n = 235) at Cincinnati Children’s Hospital Medical Center between February 2020 and May 2021. With approval from the hospital’s institutional review board, we followed Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for observational studies. Our primary outcome measure was field-blank-corrected nicotine levels on children’s hands as a THS marker. Written informed consent was obtained from parents, and written assent was obtained on children older than 11 years. After obtaining informed consent, we interviewed parents and wiped the palmar and volar surfaces of all fingers on children’s dominant hand with prescreened cotton rounds. We considered children protected from exposure to tobacco products if no household member smoked or vaped, smoking and vaping were banned in homes and cars, and there was no contact with tobacco users within the previous week. Parents self-reported their and their child’s race and ethnicity. Hand wipe samples were analyzed for nicotine using isotope-dilution liquid chromatography-tandem mass spectrometry.[3,4] We used linear regression models to examine variables associated with hand nicotine (log-transformed). The type I error rate for t tests and F tests was 5%, and all tests were 2-sided. Analyses were performed with Stata, version 17 (StataCorp LLC).

Results

The Table shows sociodemographic details, tobacco product use, and child tobacco smoke exposure. For the total sample of 504 children, 263 (52.2%) were boys and 241 (47.8%) were girls; 488 (97.0%) were non-Hispanic and 15 (3.0%) were Hispanic; 122 (24.2%) were Black or African American, 354 (70.2%) were White, 18 (3.6%) were of more than 1 race, and 10 (2.0%) were of other race (including Asian or American Indian or Alaska Native); and the mean (SD) age was 5.7 (3.3) years. Nicotine was detected on the hands of 189 of 193 children (97.9%) reportedly exposed (geometric mean [GeoMean], 21.8 ng/wipe; 95% CI, 16.5-28.7 ng/wipe) and on the hands of 296 of 311 children (95.2%) reportedly protected from exposure to tobacco products (GeoMean, 2.9 ng/wipe; 95% CI, 2.5-3.4 ng/wipe). In multivariable linear regression models, child age, family income, parent tobacco use, home smoking rules, and the number of tobacco users with whom a child had contact were significantly associated with hand nicotine (adjusted R2 = 0.63, F20,483 = 43.85, P < .001). Children aged 2 to 4 years, from low-income homes, whose parents used any tobacco products, with multiple contacts with tobacco users, and without complete smoking bans had the highest hand nicotine levels (Table). Children from lower-income families benefited significantly more from tobacco protections compared with children from higher-income homes (Figure) (F6,487 = 4.47, P < .001).
Table.

Sociodemographic Characteristics, Tobacco Product Use, and Exposure of Children Protected From and Exposed to Tobacco Products

CharacteristicNo. (%)Linear regression model of hand nicotine, β̂ (SE)
Total sample (N = 504)Exposed to tobacco smoke (n = 193)Protected from exposure to tobacco smoke (n = 311)
Hand nicotine
% >LOQ (95% CI)96.2 (94.2-97.7)97.9 (94.8-99.4)95.2 (92.2-97.3)NA
Geometric mean (95% CI), ng/wipe6.7 (5.7-7.9)21.8 (16.5-28.7)2.9 (2.5-3.4)NA
Median (IQR) [range], ng/wipe3.6 (1.3-15.5) [0-2341.6]20.0 (3.5-97.0) [0-2341.6]2.4 (1.0-5.7) [0-233.1]NA
Child age, ya
0-188 (17.5)39 (20.2)49 (15.8)−0.141 (0.060)a
2-4136 (27.0)55 (28.5)81 (26.1)[Reference]
5-7133 (26.4)51 (26.4)82 (26.4)−0.022 (0.054)
8-11147 (29.2)48 (24.9)99 (31.8)−0.105 (0.053)a
Child sex
Male263 (52.2)100 (51.8)163 (52.4)[Reference]
Female241 (47.8)93 (48.2)148 (47.6)−0.055 (0.040)
Parent ethnicity
Non-Hispanic488 (97.0)188 (97.9)300 (96.5)[Reference]
Hispanic15 (3.0)4 (2.1)11 (3.5)−0.002 (0.118)
Parent race
Black or African American122 (24.2)78 (40.4)44 (14.2)0.093 (0.063)
White354 (70.2)107 (55.4)247 (79.4)[Reference]
More than 118 (3.6)6 (3.1)12 (3.9)−0.130 (0.111)
Otherb10 (2.0)2 (1.0)8 (2.6)−0.063 (0.141)
Parent education
Less than high school17 (3.4)13 (6.7)4 (1.3)[Reference]
High school graduate85 (16.9)61 (31.6)24 (7.7)−0.007 (0.120)
Vocational or technical19 (3.8)9 (4.7)10 (3.2)−0.081 (0.158)
Some college78 (15.5)47 (24.4)31 (10.0)−0.088 (0.129)
College graduate148 (29.4)42 (21.8)106 (34.1)−0.204 (0.137)
Postgraduate157 (31.2)21 (10.9)136 (43.7)−0.112 (0.141)
Parent income, $c
≤15 000104 (20.6)81 (42.0)23 (7.4)[Reference]
15 001-30 00050 (9.9)31 (16.1)19 (6.1)−0.213 (0.087)a
30 001-50 00044 (8.7)22 (11.4)22 (7.1)−0.380 (0.095)c
50 001-75 00054 (10.7)15 (7.8)39 (12.5)−0.366 (0.106)c
75 001-90 00044 (8.7)12 (6.2)32 (10.3)−0.342 (0.112)c
90 001-120 00065 (12.9)12 (6.2)53 (17.0)−0.402 (0.110)c
>120 000143 (28.4)20 (10.4)123 (39.6)−0.456 (0.105)c
Type of home
Single family382 (75.8)112 (58.0)270 (86.8)[Reference]
Multiunit68 (13.5)47 (24.4)21 (6.8)0.087 (0.068)
Multifamily54 (10.7)34 (17.6)20 (6.2)−0.041 (0.073)
Parents’ tobacco product usec
None426 (84.5)115 (59.6)311 (100)[Reference]
Cigarettes only41 (8.1)41 (21.2)00.751 (0.104)c
Cigars only19 (3.8)19 (9.8)00.287 (0.126)a
eCigarettes only4 (0.8)4 (2.1)01.079 (0.232)c
Dual- or poly-use14 (2.8)14 (7.3)00.316 (0.151)a
Home smoking rulesc
Complete ban405 (80.4)94 (48.7)311 (100)[Reference]
Allowed anywhere34 (6.8)34 (17.6)00.486 (0.097)c
Usually allowed26 (5.2)26 (13.5)00.237 (0.124)
Usually not allowed17 (3.4)17 (8.8)00.495 (0.125)c
Only certain people22 (4.4)22 (11.1)00.297 (0.118)a
Child contact with tobacco product users, No. of usersa
0334 (66.3)23 (11.9)311 (100)[Reference]
1-2142 (28.2)142 (73.6)00.091 (0.055)
3-423 (4.6)23 (11.9)00.228 (0.108)a
≥55 (1.0)5 (2.6)00.419 (0.205)a

Abbreviations: β̂, partial regression coefficient; LOQ, level of quantitation (0.30 ng/wipe).

P < .05.

Other includes 7 Alaska Native or American Indian and 3 Asian participants.

P < .01.

Figure.

Mean Hand Nicotine Levels of Children Protected From and Exposed to Tobacco Smoke Products

Geometric means and 95% CIs of child hand nicotine levels (ng/wipe) by different family income for children protected from (n = 311) and exposed to (n = 193) tobacco products.

Abbreviations: β̂, partial regression coefficient; LOQ, level of quantitation (0.30 ng/wipe). P < .05. Other includes 7 Alaska Native or American Indian and 3 Asian participants. P < .01.

Mean Hand Nicotine Levels of Children Protected From and Exposed to Tobacco Smoke Products

Geometric means and 95% CIs of child hand nicotine levels (ng/wipe) by different family income for children protected from (n = 311) and exposed to (n = 193) tobacco products. Examining only children protected from tobacco products (n = 311), parent race and family income accounted for 27% of variance in hand nicotine (adjusted R2 = 0.24; F10,300 = 10.98, P < .001). The Figure indicates that among children believed to be protected, those from the lowest (≤$15 000; GeoMean, 14.2 ng/wipe; 95% CI, 8.7-22.7 ng/wipe) and second-lowest ($15 001-$30 000; GeoMean, 4.2 ng/wipe; 95% CI, 2.4-6.7 ng/wipe) annual income levels had 5.7 times and 1.7 times higher levels of hand nicotine, respectively, than children from families with incomes greater than $30 000 (GeoMean, 2.4 ng/wipe; 95% CI, 2.1-2.8 ng/wipe). Children of Black parents had higher nicotine levels (GeoMean, 4.9 ng/wipe; 95% CI, 3.2-7.2 ng/wipe) than children of White parents (GeoMean, 2.8 ng/wipe; 95% CI, 2.3-3.2 ng/wipe; F1,300 = 5.48; P = .02) or multiracial parents (GeoMean, 1.4 ng/wipe; 95% CI, 0.4-3.0 ng/wipe; F1,300 = 8.88; P = .003).

Discussion

Although this cross-sectional study examined a convenience sample from 1 children’s hospital, the high prevalence of THS exposure among all children younger than 12 years is concerning, because there is no safe level of exposure to tobacco smoke toxicants.[5] While parents’ efforts to protect their children from tobacco smoke pollutants did not fully prevent exposure, they reduced the magnitude of exposure by a mean of 86%. The association between income and hand nicotine among protected and unprotected children, independent of other variables, points to a troubling potential role of income-related disparities, such as housing type and quality, in THS exposure. Decades of permissive smoking policies have created significant THS reservoirs in many indoor environments. Thirdhand smoke can persist at stable levels over extended periods, creating conditions for chronic dermal, ingestion, and inhalation exposure to harmful THS constituents (eg, nicotine, tobacco-specific nitrosamines).[2,6] Implementation of smoking bans, exposure screening, and THS remediation in homes between changes in occupants are needed to help protect children from THS.
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1.  Thirdhand Smoke: New Evidence, Challenges, and Future Directions.

Authors:  Peyton Jacob; Neal L Benowitz; Hugo Destaillats; Lara Gundel; Bo Hang; Manuela Martins-Green; Georg E Matt; Penelope J E Quintana; Jonathan M Samet; Suzaynn F Schick; Prue Talbot; Noel J Aquilina; Melbourne F Hovell; Jian-Hua Mao; Todd P Whitehead
Journal:  Chem Res Toxicol       Date:  2016-12-21       Impact factor: 3.739

2.  Differential associations of hand nicotine and urinary cotinine with children's exposure to tobacco smoke and clinical outcomes.

Authors:  E Melinda Mahabee-Gittens; Ashley L Merianos; Roman A Jandarov; Penelope J E Quintana; Eunha Hoh; Georg E Matt
Journal:  Environ Res       Date:  2021-07-21       Impact factor: 6.498

Review 3.  Thirdhand tobacco smoke: emerging evidence and arguments for a multidisciplinary research agenda.

Authors:  Georg E Matt; Penelope J E Quintana; Hugo Destaillats; Lara A Gundel; Mohamad Sleiman; Brett C Singer; Peyton Jacob; Neal Benowitz; Jonathan P Winickoff; Virender Rehan; Prue Talbot; Suzaynn Schick; Jonathan Samet; Yinsheng Wang; Bo Hang; Manuela Martins-Green; James F Pankow; Melbourne F Hovell
Journal:  Environ Health Perspect       Date:  2011-05-31       Impact factor: 9.031

4.  Remediating Thirdhand Smoke Pollution in Multiunit Housing: Temporary Reductions and the Challenges of Persistent Reservoirs.

Authors:  Georg E Matt; Penelope J E Quintana; Eunha Hoh; Joy M Zakarian; Nathan G Dodder; Rachael A Record; Melbourne F Hovell; E Melinda Mahabee-Gittens; Samuel Padilla; Laura Markman; Kayo Watanabe; Thomas E Novotny
Journal:  Nicotine Tob Res       Date:  2021-01-22       Impact factor: 4.244

5.  Altered microbiomes in thirdhand smoke-exposed children and their home environments.

Authors:  Scott T Kelley; William Liu; Penelope J E Quintana; Eunha Hoh; Nathan G Dodder; E Melinda Mahabee-Gittens; Samuel Padilla; Shawn Ogden; Sia Frenzel; Laura Sisk-Hackworth; Georg E Matt
Journal:  Pediatr Res       Date:  2021-03-02       Impact factor: 3.756

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1.  High Levels of the Carcinogenic Tobacco-Specific Nitrosamine NNAL and Associated Findings in Children of Smokers: A Case Series.

Authors:  E Melinda Mahabee-Gittens; Georg E Matt; Ashley L Merianos
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