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. Author manuscript; available in PMC: 2013 May 29.
Published in final edited form as: Tob Control. 2010 Oct 30;20(1):e1. doi: 10.1136/tc.2010.037382

When smokers move out and nonsmokers move in: Residential thirdhand smoke pollution and exposure

Georg E Matt 1, Penelope J E Quintana 2, Joy M Zakarian 3, Addie L Fortmann 4, Dale A Chatfield 5, Eunha Hoh 2, Anna M Uribe 2, Melbourne F Hovell 2
PMCID: PMC3666918  NIHMSID: NIHMS462092  PMID: 21037269

Abstract

Background

This study examined whether thirdhand smoke (THS) persists in smokers’ homes after they move out and nonsmokers move in, and whether new nonsmoking residents are exposed to THS in these homes.

Methods

Homes of 100 smokers and 50 nonsmokers were visited before the residents moved out. Dust, surfaces, and air and participants’ fingers were measured for nicotine and children’s urine samples were analyzed for cotinine. The new residents who moved into these homes were recruited if they were nonsmokers. Dust, surfaces, and air, and new residents’ fingers were examined for nicotine in 25 former smoker and 16 former nonsmoker homes. A urine sample was collected from the youngest resident.

Results

Smoker homes’ dust, surface, and air nicotine decreased after the change of occupancy (p<.001); yet dust and surfaces showed higher contamination levels in former smoker homes than former nonsmoker homes (p<.05). Nonsmoking participants’ finger nicotine was higher in former smoker homes compared to former nonsmoker homes (p<.05). Finger nicotine levels among nonsmokers living in former smoker homes were significantly correlated with dust and surface nicotine and urine cotinine.

Conclusions

These findings indicate that THS accumulates in smokers’ homes and persists when smokers move out even after homes remain vacant for two months and are cleaned and prepared for new residents. When nonsmokers move into homes formerly occupied by smokers, they encounter indoor environments with THS polluted surfaces and dust. Results suggest that nonsmokers living in former smoker homes are exposed to THS in dust and on surfaces.

Keywords: Tobacco Smoke Pollution, Secondhand Smoke, Passive Smoking, Thirdhand Smoke, Environmental Tobacco Smoke Exposure

INTRODUCTION

Secondhand smoke (SHS) is composed of sidestream smoke emitted from the smoldering tip of a cigarette (80–90%) and exhaled mainstream smoke (10–20%). It contains a complex and dynamic mixture of more than 4,000 chemical compounds in the form of gases and particulate matter, and has been classified as a human carcinogen and an indoor air pollutant.[14] Immediately after emission, tobacco smoke undergoes physical and chemical changes, and the mixture of chemical compounds interacts with the environment in which it resides.

The combination of tobacco smoke pollutants remaining in an indoor environment has been referred to as residual tobacco smoke pollution, or more popularly, thirdhand smoke (THS)[5]. THS includes a mixture of semi-volatile compounds found in SHS that have sorbed or settled on surfaces of an indoor space and are re-emitted into the air. THS also encompasses particulate matter that has deposited and accumulated on surfaces and in dust, or has become trapped in carpets, upholstery, fabrics, and other porous materials commonly found in indoor environments. THS also may contain secondary pollutants created from reactions of tobacco smoke pollutants with oxidants and other compounds in the environment.

The constituents of THS that have been identified so far include nicotine, 3-ethenylpyridine (3-EP), phenol, cresols, naphthalene, formaldehyde, and tobacco-specific nitrosamines (some absent in freshly emitted tobacco smoke).[6, 7] THS exposure results from the involuntary inhalation, ingestion, or dermal uptake of THS pollutants in the air, in dust, and on surfaces. It includes inhalation exposure to compounds re-emitted into the air from indoor surfaces and particles re-suspended from deposits, and dermal and ingestion exposure to compounds partially derived from cigarette smoke and resulting particles that have settled, deposited, and accumulated on surfaces and dust. Some of the compounds in THS are odorant and are experienced as an unpleasant, stale tobacco smoke odor on smokers, in rooms in which smoking has occurred, or on nonsmokers or objects that have been in smokers’ environments.

Research suggests that THS pollutants in dust, air, and on surfaces in homes and cars may persist as long as months after the last known tobacco use occurred.[8, 9] Evidence collected in field and controlled laboratory studies shows that indoor environments in which tobacco is regularly smoked become reservoirs of tobacco smoke pollutants, potentially leading to the involuntary exposure of nonsmokers to THS in the absence of concurrent smoking and long after smoking has taken place.[1012] Our previous research found that infants of smoking mothers were exposed to tobacco smoke pollutants through THS even though their mothers had strict indoor smoking bans and never smoked near their children.[8]

This study examined homes of smokers and nonsmokers who were about to move out to better understand the persistence of THS during a change of occupancy. Before the first occupants moved out, we measured levels of THS in their homes, and the extent to which nonsmoking residents were involuntarily exposed to tobacco smoke. We revisited these homes after new nonsmoking residents moved in to determine the extent to which the homes remained polluted with THS and the extent to which new nonsmoking residents were exposed to THS.

METHODS

Study design

This study relied on a quasi-experimental design, comparing nonsmoker and smoker homes and their residents before (Part 1) and after (Part 2) a change of occupancy. For Part 1, 150 participants were recruited who were planning to move out of a private residence (i.e., house, condo, or apartment) within the next month. Participants were interviewed, environmental sampling was conducted, and children’s urine samples were collected for analysis of cotinine concentration. For Part 2, we recruited the new residents who moved into the Part 1 homes. These residents were interviewed, environmental sampling was conducted, and urine samples were collected from the youngest resident.

Inclusion criteria

For Part 1, residents were eligible to participate if they were age 18 or older, spoke English, had lived in their current home for at least 6 months, reported that everyone in their household was planning to move within the next month, and also that (to the best of their knowledge) the home would be re-occupied after they moved out. In addition, they met criteria for classification as either a “smoker home” (n=100) or a “nonsmoker home” (n=50). Smoker homes were those in which residents had smoked indoors during at least 5 of the past 6 months, including the current and most recent month, and had smoked a minimum of 7 cigarettes per week inside the home during the week prior to study measures. Nonsmoker homes were those where no smokers had lived and no visitors had smoked indoors during the past 6 months, and where a target child (under age 12, not breast-feeding) who had not been exposed to any SHS in the past month resided full-time. For smoker homes, a target child was selected if there was a resident under age 12 who lived in the home full-time and was not breast-feeding. Six smoker homes that were measured in Part 1 were disqualified because residents smoked fewer than 7 cigarettes inside the home during the week preceding study measures, and their data were not included in the following analyses.

For Part 2, new residents were eligible if they were age 18 or older, spoke English or Spanish, had not smoked any cigarettes since they moved into the home, and if no visitors had smoked inside the home since the new residents moved in. The youngest resident who lived in the home full-time and was not breast-feeding was designated the target child.

Participants

Participants received $100–$200 for completing an interview, providing urine samples, and allowing the collection of environmental samples. All procedures were approved by the San Diego State University Institutional Review Board (IRB).

Part 1 recruitment

For Part 1, participants were recruited through advertisements in local print (n=82) and electronic news media (n=4), San Diego County Women, Infants, and Children Supplemental Food and Nutrition Program (WIC) offices (n=52), referrals from friends, relatives, or co-workers (n=4), flyers distributed in military housing (n=1), and postcard mailers to a commercially available list of smokers (n=1).

Part 2 recruitment

After Part 1 residents confirmed they had moved, research assistants delivered or mailed up to 12 recruitment letters and flyers to the same homes, requesting that new residents contact the research office by telephone for eligibility screening. Homes were visited at varied times of the day on weekdays and weekends, and screening was conducted in-person if the new residents were present and agreed. If a home was still vacant and we were unable to gain access through the property manager or owner (6%) or new residents had not responded 6 months after Part 1 measures were completed (12%), the home was disqualified from Part 2. New residents of 26% of homes were disqualified due to smoking, the Part 1 residents did not move from 18% of homes, the new residents declined to participate in 6% of homes, we were unable to schedule measures with 2%, and 1% of homes were completely renovated,

Part 2 measures were completed for 25 former smoker homes and 16 former nonsmoker homes. Seven of these homes (4 nonsmoker and 3 smoker) were measured while vacant, with permission from the property manager or owner, as no new residents had moved in after 3 months. There were no statistically significant differences in air, surface, finger, or dust nicotine contamination for homes that were measured while vacant vs. occupied (all p > .23).

There were no significant differences for any Part 1 measures of home contamination or target children’s SHS exposure between smoker homes that did or did not participate in Part 2. Compared to nonsmoker homes that did not participate in Part 2, those that participated exhibited higher mean nicotine concentration levels in living room air (p=.031) and on residents’ fingers (p=.014) at Part 1.

Participant and home characteristics

See Table 1 for participant and home characteristics at Part 1 and Part 2.

Table 1.

Participant and home characteristics.

Characteristic Part 1 Part 2
Nonsmoker homes
N = 50
Smoker homes
N = 94
Nonsmoker homes
N = 16
Smoker homes
N = 25
Participant
 Female 86% 75% 85% 76%
 Age (years) A, B 33 38 26 27
 Race/Ethnicity
  White 38% 37% 46% 38%
  Hispanic 28% 12% 46% 19%
  Black 24% 31% 8% 29%
  Other 10% 20% 0% 14%
Target child
 Female 44% 44% 29% 0%
 Age (years) A 4.0 4.3 2.9 3.4
 Race/Ethnicity
  White 24% 19% 29% 14%
  Hispanic 26% 25% 43% 57%
  Black 22% 31% 0% 29%
  Other 28% 25% 29% 0%
Number of residents living in home A, B 4 2 3 2
Square footage of home A, B 767 591 764 666
Household income A, B $37,220 $25,500 $32,000 $34,000

Note.

A

Median.

B

p < 0.01 (two-sided) Part 1 smoker vs. nonsmoker homes.

Measures

Pairs of research assistants visited participants’ homes to conduct in-person interviews and collect environmental samples. Interviews were primarily conducted with the eligible resident who agreed to participate, however questions about smoking inside the home and SHS exposure of nonsmokers were asked of each smoker who agreed to participate. If a smoker resident was unavailable, participants provided proxy reports. In smoker homes, samples were collected in the living room and one bedroom (the target child’s or a nonsmoker’s, or the smoker’s bedroom in homes with no nonsmokers). In nonsmoker homes, samples were collected in the living room only.

Indoor smoking and SHS exposure

At each interview, primary interview participants and other parents (spouses or partners living in the home) reported their smoking and the target child’s SHS exposure on typical work and non-work days (or week and weekend days if participants didn’t work outside the home) during the past seven days, including exposure from other residents and visitors, and outside of the home including in the car. SHS exposure was defined as the number of cigarettes smoked while the target child was in the same indoor room or car. The target child’s weekly exposure to cigarettes in the home and “total exposure” to all cigarettes in the home, car, and elsewhere were computed. These measures have shown acceptable test-retest reliability and validity in relation to cotinine and nicotine assays in our past studies.[1315]

To examine the test-retest reliability of our measures, selected smoking and SHS exposure questions were re-asked by telephone for 32 Part 1 respondents who agreed to participate 24–72 hours following their home interview. Pearson correlation coefficients for participants’ reports at the Part 1 interview and 24–72 hour retest were r=.95 for participants’ smoking rate inside the home, r=.92 for other parents’ smoking rate inside the home, r=.90 for visitors’ smoking rate inside the home, r=.97 for participants’ overall smoking rate, r=.89 for other parents’ overall smoking rate, and r=.98 for children’s SHS exposure from visitors inside the home. Validity correlations between Part 1 outcome variables were r=.61 for living room surface nicotine with dust nicotine, r=.54 for living room surface nicotine with air nicotine, r=.63 for living room dust nicotine with air nicotine, and r=.89 for urine cotinine with reported indoor smoking.

Surface nicotine in living room and bedroom

Prescreened cotton wipes (cosmetic 100% cotton facial wipes) were wetted with 1.5 ml of 1% ascorbic acid and wiped over a 100 cm2 area, typically a wooden door or cabinet unlikely to be frequently cleaned (Matt et al. 2004). Nicotine-d4 was added as an internal standard, then 0.1% aqueous formic acid was added, mixed, and the wipe removed from solution. 1 M KOH (aqueous) was added, vortexed, and then 2 mL was transferred to a precleaned SPE column (Isolute C8, International Sorbent Technologies, Hengoed. Mid Glamorgan, UK). The column was washed, then the nicotine eluted with acetonitrile/pH4 20 mM ammonium acetate buffer into an amber autosampler vial. Samples were stored at −20C in the dark until analysis. For Part 2, samples were collected in a 100 cm2 area directly adjacent to the area sampled in Part 1.

Finger nicotine concentration

A wipe sample of the participant’s dominant hand index finger was taken at the home visit. In Part 1, this was the smoker or nonsmoker about to move out. In Part 2, this was the new nonsmoking resident. Wipes were prepared and processed as above.

Dust nicotine in living room and bedroom

Dust samples were collected from a 1 by 1 meter area (or from a larger area if needed to collect approximately ¼ inch of dust) with a High-Volume-Small Surface-Sampler (HVS4, CS3 Inc., Venice, FL) into methanol-washed amber bottles. Samples were transported cooled, then were weighed and sieved with a stainless steel, methanol-washed, 150 micrometer mesh sieve to remove large debris such as pet hairs, and weighed again. Samples were stored at −20C until analysis. For analysis of nicotine, 50 mg of sieved dust were used. Samples were processed and analyzed in a manner similar to wipe samples except the inlet end of the SPE columns were coupled to a filter cartridge containing a medium porosity filter paper to retain the particulate. Dust concentrations are reported as μg/g (concentration) as well as μg/m2 (loading). For Part 2, samples were collected directly adjacent to the area sampled in Part 1.

Air nicotine in living room and bedroom

A passive diffusion monitor badge was used, consisting of a modified 37 mm 3M Organic Vapor Monitor (3-M, St. Paul, MN) with a glass fiber filter coated with a glycerol/phosphoric acid mixture (filter collector was modified from Kuusimaki et al., 1999).[16] The sampling rate was empirically determined to be 18.4 ml/min. At the home visit, research assistants taped monitors to a wall about 5 feet above the ground, out of children’s reach and away from windows, corners, doors, and ashtrays. Inactive monitors were placed in all other rooms of the study homes to enhance reporting accuracy. Research assistants visited the homes 7 days later to retrieve the monitors, and the minutes the badge was placed were recorded. Extraction took place as for wipes, above. For Part 2 measures, air monitors were placed in the same exact location as for Part 1.

Urine cotinine concentration

At each Part 1 and Part 2 home visit, a urine sample was collected from the target child. Samples were obtained using a standard collection cup for older children and adults, or by placing 2 pieces of a 5″ × 9″ pad (cut in 4 pieces) in the diaper (TenderSorb Wet-Pruf Abdominal Pads, Kendall # 9190). Wet pads were packed into separate sterile 20 ml syringes and expressed into sterile 5 ml plastic vials.

Laboratory analyses

Samples were analyzed by D. Chatfield at San Diego State University. The method of analysis was by liquid chromatography-tandem mass spectrometry (LC-MS-MS) using electrospray ionization (ESI) on a Thermo-Finnigan TSQ Quantum Mass Spectrometer. Nicotine was quantified against the internal standard, nicotine-d4 (CDN Isotopes Inc., Pointe-Claire, Quebec, Canada). The final extracts after sample preparation were injected (1–5 μL) onto a LC silica column (Hypersil Silica, 50 × 2.1 mm, 3 um) and separated in a HILIC mode using acetonitrile:pH4 20 mM acetate buffer of 70:30 (v/v) at 150 μL/min. Selected reaction monitoring (SRM) of the MS-MS transitions at 16V CID of m/z 163.2 to m/z 117.1 and 130.1 and m/z 167.1 to m/z 121.1 and m/z 134.1 was used for nicotine and the deuterated analog, respectively. Standard calibration curves were linear over the concentration range studied, 0.1 to 1000 ng/mL with R2 = 0.997. Limits of detection were approximately 0.1 μg nicotine/m2 for wipe samples, 0.2 μg nicotine/g dust, and 0.0053 μg/m3 in air for a 7 day exposure. The detection limit for urine cotinine was approximately 0.05 ng/mL.

Statistical analyses

Results are presented for study homes that had both Part 1 and Part 2 measures (N=41), and for all Part 1 homes (N=144). To control for non-normal distributions and heterogeneous error variances, we subjected response variables to logarithmic transformation and report geometric means. We examined differences in THS pollution and exposure between smoker and nonsmoker homes before (Part 1) and after (Part 2) the change of occupancy using two-sample t-tests with unequal variances. Mean changes in THS pollution from Part 1 to Part 2 were examined with paired t-tests. Quantile and Tobit regression analyses for left-censored data were used to explore the contribution of dust, surface, and air contamination to participants’ finger nicotine and urine cotinine levels. Quantile regression models were examined for 50th and 75th percentiles. Analyses were conducted with Stata IC version 10.0 and SPSS version 15.0 statistical software.[17, 18] The Type I error rate was set at α=.05, and comparisons between nonsmoker and smoker homes were conducted based on directional (one-tailed) hypotheses regarding differences in THS pollution and exposure between nonsmoker and smoker homes and between nonsmokers residing in former smoker and nonsmoker homes. All other hypotheses were tested in a nondirectional (two-tailed) fashion.

To investigate how well environmental and biological markers of THS pollution and exposure discriminate between smoker and nonsmoker environments, we determined cut-off values for urine cotinine and finger, air, dust, and surface nicotine levels that yield the largest percent difference between correctly identified smoker homes (i.e., hits) and incorrectly identified nonsmoker homes (i.e., false alarms).

RESULTS

Tobacco smoke pollution in homes

Tobacco smoke pollution in smoker and nonsmoker homes before the change of occupancy (Part 1)

Table 2 shows the geometric means and 95% confidence intervals for the number of cigarettes smoked indoors at home, as well as for nicotine levels in the air, dust, and on the surfaces of smoker and nonsmoker homes (i.e., Part 1). Data are reported for all smoker and nonsmoker homes, and also separately for the subset of homes for which both Part 1 and Part 2 data were available.

Table 2.

Tobacco smoke pollution in smoker and nonsmoker homes before (Part 1) and after (Part 2) the change of occupancy.

Part 1: Original Occupants Part 2: New Nonsmoker Occupants
N Mean [95% CI] N Mean [95% CI]
Indoor Smoking (cig/w)
 All Nonsmoker Homes 50 0 16 0
 All Smoker Homes 94 60.17 [49.60; 72.96] 25 0
 Same Nonsmoker Homes 16 0 16 0
 Same Smoker Homes 25 68.57 [46.94; 99.94] 25 0
Air Nicotine (μg/m3)
Living Room
 All Nonsmoker Homes 50 0.02 [.01;.03] 16 0.14 [.00; .34]
 All Smoker Homes 81A 1.86 [1.38; 2.44] 23 0.20 [.07; .34]
 Same Nonsmoker Homes 16 0.04 [.00; 0.07] 16 0.14 [.00; 0.34]
 Same Smoker Homes 19 1.96 [1.01; 3.34] 19 0.23 [.07; 0.41]
Bedroom
 All Smoker Homes 74B 1.44 [1.00; 1.97] 22 0.12 [.04; .19]
 Same Smoker Homes 19 1.55 [.75; 2.73] 19 0.13 [.05; .22]
Surface Nicotine (μg/m2)
Living Room
 All Nonsmoker Homes 50 1.6 [.8; 3.0] 16 1.5C [.4; 3.7]
 All Smoker Homes 94 98.7 [61.2; 158.6] 24 10.0C [3.1; 28.6]
 Same Nonsmoker Homes 16 1.4 [.3; 3.6] 16 1.5C [.4; 3.7]
 Same Smoker Homes 24 211.7 [85.2; 523.9] 24 10.0C [3.1; 28.6]
Bedroom
 All Smoker Homes 87 50.1 [29.4; 84.7] 23 7.5 [1.9; 24.4]
 Same Smoker Homes 23 66.1 [24.8; 173.5] 23 7.5 [1.9; 24.4]
Dust Nicotine (μg/g)
Living Room
 All Nonsmoker Homes 50 2.9 [1.1; 4.0] 16 2.3D [1.0; 4.4]
 All Smoker Homes 93 39.6 [30.0; 52.2] 25 10.9D [6.4; 18.2]
 Same Nonsmoker Homes 16 2.7 [1.1; 5.3] 16 2.3D [1.0; 4.4]
 Same Smoker Homes 25 47.6 [26.6; 84.7] 25 10.9D [6.4; 18.2]
Bedroom
 All Smoker Homes 76 30.7 [22.2; 42.2] 23 11.0 [6.0; 19.6]
 Same Smoker Homes 23 40.4 [23.1; 70.2] 23 11.0 [6.0; 19.6]
Dust Nicotine (μg/m2)
Living Room
 All Nonsmoker Homes 49 3.6 [2.2; 5.6] 16 3.1 [.8; 8.3]
 All Smoker Homes 92 58.8 [40.9; 84.3] 25 7.6 [3.6; 15.3]
 Same Nonsmoker Homes 15 4.2 [1.3; 10.6] 15 3.4 [.8 to 9.6]
 Same Smoker Homes 25 76.2 [33.1; 173.8] 25 7.6 [3.6; 15.3]
Bedroom
 All Smoker Homes 73 51.0 [34.7; 74.8] 21 7.3 [3.0; 16.3]
 Same Smoker Homes 21 75.4 [36.7; 153.9] 21 7.3 [3.0; 16.3]

Note.

A

Part 1 living room air monitors were not placed in 9 smoker homes because residents were moving in < 7 days, and air monitors were not returned by residents of 4 smoker homes.

B

Part 1 bedroom air monitors were not placed in 9 smoker homes because residents were moving in < 7 days, or in 6 studio apartments, and were not returned by residents of 5 smoker homes.

C

p=0.0059 (directional) Part 2 nonsmoker vs. former smoker homes.

D

p=0.0002 (directional) Part 2 nonsmoker vs. former smoker homes.

In Part 1 smoker homes, participants reported that an average of 60 cigarettes/week were smoked indoors; 52% had one smoking resident, 44% had two, and 4% had five smoking residents. In Part 1 nonsmoker homes, participants reported that no residents had smoked at all in the past 6 months, and that no cigarettes were smoked inside the home for at least 6 months prior to study measures.

Replicating findings from our earlier research, smoker homes showed significantly elevated levels (all p<.001) of nicotine in the air, in household dust, and on surfaces. Air nicotine concentrations were 35–98 times higher than those found in nonsmoker homes. The two major reservoirs for THS in smoker homes, dust and surfaces, showed nicotine levels approximately 12–21 and 30–150 times higher, respectively, than the reference levels in nonsmoker homes. Note that nicotine concentrations in dust were approximately equivalent in living rooms and bedrooms.

Change in tobacco smoke pollution when smokers moved out and nonsmokers moved In (Part 1 vs. Part 2)

Of the homes that participated in Part 2, smoker homes were vacant a median of 62 days and nonsmoker homes were vacant a median of 34 days after Part 1 residents moved out. Part 2 measures were obtained a median of 33 days after new residents moved into former smoker homes, and a median of 32 days after new residents moved into former nonsmoker homes. Smoker homes were more likely than nonsmoker homes to get new flooring in the bedroom, kitchen, and living room, and were more likely to have the kitchen painted (as reported by Part 2 participants; all χ2 p<.05).

Table 2 shows that tobacco pollutants as measured by nicotine concentrations significantly decreased when smokers moved out (Part 1) and new nonsmoking residents moved into the same homes (Part 2) (all p<.001). The largest reductions in smoker homes were observed for nicotine on living room surfaces (95% reduction), and the smallest for dust nicotine per gram of dust in living rooms and bedrooms (75% reduction). For former nonsmoker homes, nicotine levels stayed approximately equivalent to their original levels, suggesting stable levels of background nicotine pollution.

Thirdhand smoke pollution in former smoker homes compared to former nonsmoker homes (Part 2)

Table 2 shows results comparing THS levels in homes of nonsmokers (Part 2) who moved into former smoker and nonsmoker homes. Homes formerly occupied by smokers showed significantly higher levels of nicotine on living room surfaces (1.52 vs. 10.04 μg/m2, p=0.0059) and in living room dust (2.27 vs. 10.94 μg/g, p=.0002). On average, nicotine contamination was 7 times higher on living room surfaces and 5 times higher in living room dust in former smoker homes compared to former nonsmoker homes. Dust nicotine loadings (i.e., nicotine per m2) were higher in smoker as compared to nonsmoker homes, but this elevation was not as marked as for dust concentration and was not statistically significant (p=.07).

Exposure to tobacco smoke pollutants in homes

SHS and THS exposure in smoker and nonsmoker homes before change of occupancy (Part 1)

Table 3 shows urine cotinine and finger nicotine levels, and reported measures of involuntary exposure to tobacco smoke among the target children in smoker and nonsmoker homes. Data are reported for participants in all nonsmoker and smoker homes, and also separately for the subset of participants in homes for which both Part 1 and Part 2 data were available.

Table 3.

Exposure to tobacco smoke pollution in smoker and nonsmoker homes before (Part 1) and after (Part 2) occupants move.

Part 1: Original Occupants Part 2: New Nonsmoker Occupants
N Mean [95% CI] N Mean [95% CI]
Urine Cotinine (ng/ml)
 All Nonsmoker Homes 50 0.15 [.09; .21] 13 0.13A [.00; .27]
 All Smoker Homes 31 5.42 [3.88; 7.46] 20 0.45A [.13; .86]
 Same Nonsmoker Homes 13 0.14 [.00; .29] 13 0.13B [.00; .27]
 Same Smoker Homes 5 3.66 [1.49; 7.70] 5 0.61B [.00; 2.26]
Finger Nicotine (ng/wipe)
 All Nonsmoker Homes 50 0.47 [.04; 1.08] 11 0.75C [.00; 3.06]
 All Smoker Homes 91 660.21 [441.58; 986.84] 19 5.19C [0.81; 20.12]
 Same Nonsmoker Homes 11 1.35 [.00; 8.02] 11 0.75D [.00; 3.06]
 Same Smoker Homes 18 803.85 [387.84; 1664.96] 18 5.85D [.90; 23.72]
Reported Exposure (cig/w)
 All Nonsmoker Homes 50 0 12 0
 All Smoker Homes 31 14.19 [7.16; 27.28] 20 0.40 [.00; 1.15]
 Same Nonsmoker Homes 12 0 12 0
 Same Smoker Homes 5 18.49 [.10; 343.13] 5 1.52 [.00; 20.01]

Note.

A

p=0.0344 (one-sided) Part 2 smoker vs. Part 2 nonsmoker homes.

B

p=0.1176 (one-sided) Part 2 smoker vs. Part 2 nonsmoker homes.

C

p=0.0402 (one-sided) Part 2 smoker vs. Part 2 nonsmoker homes.

D

p=0.0339 (one-sided) Part 2 smoker vs. Part 2 nonsmoker homes.

Children living in homes with active smokers were reportedly exposed to an average of 14 cigarettes/week at home. No exposure was reported for children living in nonsmoker homes. Geometric mean urine cotinine levels among children in smoker homes were 5.42 ng/ml, compared to 0.15 ng/ml among children in nonsmoker homes. Finger nicotine levels were, on average, 660.21 ng/wipe among smokers in smoker homes, compared to 0.47 ng/wipe among nonsmokers in nonsmoker homes. Part 1 smoker and nonsmoker homes differed significantly on urine cotinine (p=.002) and finger nicotine (p<.001).

Residents’ exposure to tobacco smoke pollutants after the change of occupancy (Part 1 vs. Part 2)

Table 3 shows that the geometric mean urine cotinine concentrations of new nonsmoking youngest residents in former smoker homes (Part 2) were lower than the levels exhibited by the children who previously resided in these same homes (p<.05 all homes). New residents’ finger nicotine levels were also lower in Part 2 smoker homes (p<.001). In nonsmoker homes, there were no differences in mean urine cotinine levels (p>.20) or finger nicotine levels (p>.20) between Part 1 and Part 2.

THS exposure among nonsmokers occupying former smoker and nonsmoker homes (Part 2)

Table 3 shows urine cotinine and finger nicotine levels among nonsmokers who moved into homes formerly occupied by smokers and nonsmokers. Nicotine levels found on the index fingers of nonsmokers residing in former smoker homes were 7–8 times higher than for those residing in former nonsmoker homes (same homes: 5.85 vs. 0.75 ng/wipe, p=.0339; all homes: 5.19 vs. 0.75 ng/wipe, p=0.0402). Urine cotinine levels were 3–5 times higher among the youngest occupants of former smoker homes compared to former nonsmoker homes (same homes: 0.61 vs. 0.13 ng/ml, p=0.1176; all homes: 0.13 vs. 0.45 ng/ml, p=0.0344).

Reported tobacco odor and discoloration

The new residents of four former smoker homes reported tobacco odor in their homes, and the new residents of one additional former smoker home reported tobacco discoloration (yellow spots on the living room and dining room ceilings). No residents of former nonsmoker homes reported tobacco odor or discoloration.

Exploring the contribution of dust, surface, and air contamination to overall thirdhand smoke exposure

To explore how THS in dust, air, and on surfaces may contribute to nonsmokers’ overall exposure to THS, we first examined the associations between finger nicotine levels and THS on surfaces and in dust. Tobit regression models of finger nicotine levels showed statistically significant associations with surface nicotine levels (pseudo R2=0.08, p=.037) and dust nicotine levels (pseudo R2=0.11, p=.009). When entered jointly, surface and dust nicotine yielded a statistically significant model fit (pseudo R2 =0.13, p=.025).

We then examined the associations between urine cotinine levels and THS, as measured by dust and surface nicotine levels. Using Tobit regression models, urine cotinine showed statistically significant associations with dust nicotine (pseudo R2 =.18, p=.035) and surface nicotine (pseudo R2=0.21, p=.027). In a Tobit regression model, dust and surface nicotine levels jointly produced a statistically significant model fit (pseudo R2 =0.29, p=.031).

Lastly, we examined the association between urine cotinine and finger nicotine. Tobit (pseudo R2 = 0.69, p<0.001) and quantile regression (pseudo R2 = 0.28, p<0.001) models, as well as Pearson (r = 0.70, p<.001) and Spearman (r=0.67. p<.001) correlations showed a strong association between nicotine on Part 2 residents’ fingers and their urine cotinine levels.

When urine cotinine was regressed on finger nicotine, surface nicotine, and dust nicotine as explanatory variables, only finger nicotine level was statistically significant (p=0.001; dust and surface nicotine, both p>0.20). This suggests that finger nicotine in nonsmokers may be a robust measure of THS on polluted surfaces and dust.

In Part 2 homes, air nicotine levels were not associated with urine cotinine or finger nicotine levels. Models that included reported SHS exposure and reported number of days participants smelled smoke drifting inside the home were not statistically significant, nor were bivariate correlations of these variables with urine cotinine.

Cut-off levels discriminating between smoker and nonsmoker homes

Table 4 shows the percentages of smoker and nonsmoker homes with above threshold levels of air, surface, and dust nicotine, urine cotinine, and finger nicotine. These findings indicate that dust nicotine best discriminates between smoker and nonsmoker homes. Specifically, 84% of smoker homes’ living rooms still exhibited above threshold levels of nicotine in dust when nonsmokers moved in (Part 2), compared to 90% when smokers still lived there (Part 1) and 19% of Part 2 nonsmoker homes. Similarly, 54% of the former smoker homes’ living rooms (Part 2) had surfaces above threshold levels, compared to 19% of former nonsmoker homes. Among the Part 2 occupants of smoker homes (all nonsmokers), 40% had above threshold levels of THS exposure (urine cotinine) and 35% had above threshold levels of finger nicotine. This compares to 8% and 0%, respectively, among occupants of Part 2 nonsmoker homes.

Table 4.

Percentage of homes with detectable levels of cotinine in nonsmoker’s urine, nicotine on nonsmoker’s finger, and nicotine in house household dust, air, and surfaces.

Cut-offA Part 1: Original Occupants Part 2: New Nonsmoker Occupants
% ≥ Cut-Off % ≥ Cut-Off
Urine Cotinine 0.30 ng/ml
 Nonsmoker Homes 10 8
 Smoker Homes 97 40
Finger Nicotine 50.0 ng/wipeB
 Nonsmoker Homes 2 0
 Smoker Homes 93 35
Air Nicotine Living Room 0.10 μg/m3
 Nonsmoker Homes 6 25
 Smoker Homes 90 44
Air Nicotine Bedroom 0.10 μg/m3
 Nonsmoker Homes NA NA
 Smoker Homes 78 39
Surface Nicotine Living Room 5.0 μg/m2
 Nonsmoker Homes 16 19
 Smoker Homes 86 54
Surface Nicotine Bedroom 5.0 μg/m2
 Nonsmoker Homes NA NA
 Smoker Homes 75 44
Dust Nicotine Living Room 5.0 μg/g
 Nonsmoker Homes 28 19
 Smoker Homes 90 84
Dust Nicotine Bedroom 5.0 μg/g
 Nonsmoker Homes NA NA
 Smoker Homes 84 70
Dust Nicotine Living Room 5.0 μg/m2
 Nonsmoker Homes 31 25
 Smoker Homes 91 60
Dust Nicotine Bedroom 5.0 μg/m2
 Nonsmoker Homes NA NA
 Smoker Homes 64 52

Note

A

Cut-offs were established to discriminate between smoker and nonsmoker homes.

B

Wipes were 0.1 m × 0.1 m; 50 ng/wipe is equivalent to 5.0 μg/m2.

DISCUSSION

This was the first study to examine residential THS pollution and exposure after smokers moved out and nonsmokers moved in. Findings replicate those from an earlier study of smoking mothers with infants, [8] showing that smoker homes have become significant reservoirs of THS pollutants at the time smokers prepare to move out.

Two months after smokers moved out and nonsmokers moved in, nicotine in dust and on surfaces still exceeded threshold levels in 84% and 54% of homes, respectively. Even though mean levels of nicotine significantly declined when nonsmokers moved into former smoker homes, dust and surface nicotine levels were still significantly higher than in nonsmoker homes that underwent a similar change of occupancy. This is particularly notable because these homes were vacant for an average of two months during the change of occupancy, and because all of these homes underwent cleaning, and many were repainted and had carpets replaced before new occupants moved in (especially smoker homes). In summary, these findings demonstrate that smokers leave behind a legacy of THS in the dust and on the surfaces of their homes that persists over weeks and months.

Nonsmokers moving into former smoker homes are exposed to the THS left in dust and on surfaces by the former smoker occupants. This is evidenced by increased finger nicotine and urine cotinine levels among nonsmokers living in former smoker homes. This exposure pathway is further supported by significant correlations of dust and surface nicotine levels with finger nicotine levels, and between finger nicotine and urine cotinine levels. Air nicotine levels were not associated with biological exposure measures. This suggests that the main reservoirs of exposure to THS are in dust and surfaces. Air concentrations of THS may remain low relative to dust and surfaces because airborne THS is more rapidly transported outside the home through passive air exchanges and active ventilation.

It should be noted that smoker homes in this study were more expensive to prepare for new occupants than nonsmoker homes. Smoker homes remained vacant for on average an extra month, and they were more likely to get new flooring in the bedroom, kitchen, and living room and to have the kitchen painted. These findings parallel results from our study of the resale value of used cars sold by smokers, showing that their cars lost 7–9% in value relative to nonsmoker cars of equivalent age, make, model, and condition.[19] These results suggest economic consequences for owners, sellers, and renters of cars and homes. Theoretically, such economic penalties, if communicated to the community, create incentives to reduce smoking as well as THS contamination of cars and homes.[20]

Limitations

Markers of THS have not been comprehensively studied, and there remain important questions regarding the extent to which nicotine represents other chemical compounds known and suspected in THS. Similarly, it is unclear how well cotinine represents biological exposure to THS compounds beyond nicotine, such as tobacco-specific nitrosamines.[6, 21] This study was not designed to investigate health outcomes of exposure to THS. Future research on surface chemistry and biological mechanisms, as well as behavioral studies of exposure pathways are needed to better understand the nature of THS, associated health outcomes, and the behavioral and economic factors influencing THS pollution and exposure in the field.

The subject matter of this field study precluded a randomized trial, creating some ambiguity about the causal origins of the THS pollutants detected in Part 1 homes. The fact that the THS marker is tobacco specific (i.e., nicotine) and strongly associated with reported smoking behavior of Part 1 occupants makes this validity concern implausible. The voluntary nature of participation in this study, typical vacancy rates in the housing market, participation refusals, and our efforts to exclude from Part 2 participants who were exposed to SHS decreased sample sizes for Part 2 analyses. This lowered the statistical power of our hypothesis tests and could have contributed to differential attrition. To address these issues, we report findings based on data collected from all eligible homes and from homes for which both Part 1 and Part 2 data were available. We also report geometric means with 95% confidence intervals and exact p-values of hypothesis tests to allow the reader to evaluate their statistical and practical significance, given the relatively small sample sizes. We examined and found no plausible evidence for differential attrition.

Conclusions

Homes remain reservoirs of tobacco smoke pollutants after smokers move out, creating a source for involuntary exposure to nonsmokers moving into these homes. Infants and young children are likely most at risk for exposure to THS in dust and surfaces and its health consequences because of age-specific behaviors (e.g., crawling, sucking, ingesting nonfood items, hand-to-mouth contact). Known susceptibility of infants due to immature respiratory and immune systems, lower metabolic capacity, and the many years of life remaining make exposure to the potent carcinogens reported in THS a concern. It has been previously demonstrated that house dust can be a major route of exposure to lead for young children.[22, 23]

Based on the current limited evidence on the chemistry, biology, and behavioral science of THS, it is premature to rule on its significance as a cause, moderator, mediator, or contributor to health outcomes. This and other studies suggest caution in trivializing the relatively low levels of pollutants found two months after the last cigarette was smoked. The limited existing research warrants rigorous further investigations into the chemical, physical, biological, environmental, behavioral, and economic aspects of THS to more comprehensively understand its impact on human health in the social and policy contexts in which smoking occurs throughout the world.

What this paper adds.

Thirdhand smoke (THS) consists of tobacco smoke pollutants that remain on surfaces and in dust after tobacco has been smoked, are re-emitted and re-suspended back into the air, or react with oxidants and other compounds in the environment to yield secondary pollutants. Evidence collected in field and controlled laboratory studies shows that indoor environments in which tobacco is regularly smoked become reservoirs of THS, potentially leading to the involuntary exposure of nonsmokers to THS in the absence of concurrent smoking and long after smoking has taken place.

This study was the first to examine whether private homes of smokers remain contaminated with THS after the smokers move out and nonsmokers move in, and whether nonsmokers who move into homes formerly occupied by smokers are exposed to THS through contaminated dust, surfaces, and air in these homes. Findings indicate that THS accumulates in smokers’ homes and persists when smokers move out even after homes remain vacant for two months and are cleaned and prepared for new residents. When nonsmokers moved into homes formerly occupied by smokers, they encountered indoor environments with measurable THS polluted surfaces and dust. Results suggest that nonsmokers living in former smoker homes are exposed to THS in dust and on surfaces.

Acknowledgments

The authors thank Sarah N. Larson, M.S., R.D. and San Diego State University Research Foundation WIC for their assistance.

FUNDING

This research was supported by funds from the California Tobacco-Related Disease Research Program of the University of California, Grant Number 13RT-0161H.

Footnotes

COMPETING INTERESTS

All authors declare that they have no competing interests.

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