Measuring Indoor Air Quality and Engaging California Indian Stakeholders at the Win-River Resort and Casino: Collaborative Smoke-Free Policy Development.

Most casinos owned by sovereign American Indian nations allow smoking, even in U.S. states such as California where state laws restrict workplace smoking. Collaborations between casinos and public health workers are needed to promote smoke-free policies that protect workers and patrons from secondhand tobacco smoke (SHS) exposure and risks. Over seven years, a coalition of public health professionals provided technical assistance to the Redding Rancheria tribe in Redding, California in establishing a smoke-free policy at the Win-River Resort and Casino. The coalition provided information to the casino general manager that included site-specific measurement of employee and visitor PM2.5 personal exposure, area concentrations of airborne nicotine and PM2.5, visitor urinary cotinine, and patron and staff opinions (surveys, focus groups, and a Town Hall meeting). The manager communicated results to tribal membership, including evidence of high SHS exposures and support for a smoke-free policy. Subsequently, in concert with hotel expansion, the Redding Rancheria Tribal Council voted to accept a 100% restriction of smoking inside the casino, whereupon PM2.5 exposure in main smoking areas dropped by 98%. A 70% partial-smoke-free policy was instituted ~1 year later in the face of revenue loss. The success of the collaboration in promoting a smoke-free policy, and the key element of air quality feedback, which appeared to be a central driver, may provide a model for similar efforts.

Determining PM2.5 calibration curves for a low-cost particle monitor: common indoor residential aerosols.

Real-time particle monitors are essential for accurately estimating exposure to fine particles indoors. However, many such monitors tend to be prohibitively expensive for some applications, such as a tenant or homeowner curious about the quality of the air in their home. A lower cost version (the Dylos Air Quality Monitor) has recently been introduced, but it requires appropriate calibration to reflect the mass concentration units required for exposure assessment. We conducted a total of 64 experiments with a suite of instruments including a Dylos DC1100, another real-time laser photometer (TSI SidePak™ Model AM-510 Personal Aerosol Monitor), and a gravimetric sampling apparatus to estimate Dylos calibration factors for emissions from 17 different common indoor sources including cigarettes, incense, fried bacon, chicken, and hamburger. Comparison of minute-by-minute data from the Dylos with the gravimetrically calibrated SidePak yielded relationships that enable the conversion of the raw Dylos particle counts less than 2.5 µm (in #/0.01 ft(3)) to estimated PM2.5 mass concentration (e.g. µg m(-3)). The relationship between the exponentially-decaying Dylos particle counts and PM2.5 mass concentration can be described by a theoretically-derived power law with source-specific empirical parameters. A linear relationship (calibration factor) is applicable to fresh or quickly decaying emissions (i.e., before the aerosol has aged and differential decay rates introduce curvature into the relationship). The empirical parameters for the power-law relationships vary greatly both between and within source types, although linear factors appear to have lower uncertainty. The Dylos Air Quality Monitor is likely most useful for providing instantaneous feedback and context on mass particle levels in home and work situations for field-survey or personal awareness applications.

Assessing the effect of Michigan's smoke-free law on air quality inside restaurants and casinos: a before-and-after observational study.

OBJECTIVES: To assess the effect of Michigan's smoke-free air (SFA) law on the air quality inside selected restaurants and casinos. The hypothesis of the study: if the SFA law is effectively implemented in restaurants and casinos, there will be a significant reduction in the particulate matter PM2.5 measured in the same establishments after the law is implemented. SETTING: Prelaw and postlaw design study. PARTICIPANTS: 78 restaurants in 14 Michigan cities from six major regions of the state, and three Detroit casinos. METHODS: We monitored the real-time PM2.5 in 78 restaurants and three Detroit casinos before the SFA law, and again monitored the same restaurants and casinos after implementation of the law, which was enacted on 1 May 2010. PRIMARY AND SECONDARY OUTCOME MEASURES: Concentration measurements of secondhand smoke (SHS) fine particles (PM2.5) were compared in each restaurant in the prelaw period to measurements of PM2.5 in the same restaurants during the postlaw period. A second comparison was made for PM2.5 levels in three Detroit casinos prelaw and postlaw; these casinos were exempted from the SFA law. RESULTS: Prelaw data indicated that 85% of the restaurants had poor to hazardous air quality, with the average venue having 'unhealthy' air according to Michigan's Air Quality Index for PM2.5. Postlaw, air quality in 93% of the restaurants improved to 'good'. The differences were statistically significant (p<0.0001). By comparison, the three casinos measured had 'unhealthy' air both before and after the law. CONCLUSIONS: The significant air quality improvement in the Michigan restaurants after implementation of the SFA law indicates that the law was very effective in reducing exposure to SHS. Since the Detroit casinos were exempted from the law, the air quality was unchanged, and remained unhealthy in both prelaw and postlaw periods.

Real-time particle monitor calibration factors and PM2.5 emission factors for multiple indoor sources.

Indoor sources can greatly contribute to personal exposure to particulate matter less than 2.5 µm in diameter (PM2.5). To accurately assess PM2.5 mass emission factors and concentrations, real-time particle monitors must be calibrated for individual sources. Sixty-six experiments were conducted with a common, real-time laser photometer (TSI SidePak™ Model AM510 Personal Aerosol Monitor) and a filter-based PM2.5 gravimetric sampler to quantify the monitor calibration factors (CFs), and to estimate emission factors for common indoor sources including cigarettes, incense, cooking, candles, and fireplaces. Calibration factors for these indoor sources were all significantly less than the factory-set CF of 1.0, ranging from 0.32 (cigarette smoke) to 0.70 (hamburger). Stick incense had a CF of 0.35, while fireplace emissions ranged from 0.44-0.47. Cooking source CFs ranged from 0.41 (fried bacon) to 0.65-0.70 (fried pork chops, salmon, and hamburger). The CFs of combined sources (e.g., cooking and cigarette emissions mixed) were linear combinations of the CFs of the component sources. The highest PM2.5 emission factors per time period were from burned foods and fireplaces (15-16 mg min(-1)), and the lowest from cooking foods such as pizza and ground beef (0.1-0.2 mg min(-1)).

Environmental monitoring of secondhand smoke exposure.

The complex composition of secondhand smoke (SHS) provides a range of constituents that can be measured in environmental samples (air, dust and on surfaces) and therefore used to assess non-smokers' exposure to tobacco smoke. Monitoring SHS exposure (SHSe) in indoor environments provides useful information on the extent and consequences of SHSe, implementing and evaluating tobacco control programmes and behavioural interventions, and estimating overall burden of disease caused by SHSe. The most widely used markers have been vapour-phase nicotine and respirable particulate matter (PM). Numerous other environmental analytes of SHS have been measured in the air including carbon monoxide, 3-ethenylpyridine, polycyclic aromatic hydrocarbons, tobacco-specific nitrosamines, nitrogen oxides, aldehydes and volatile organic compounds, as well as nicotine in dust and on surfaces. The measurement of nicotine in the air has the advantage of reflecting the presence of tobacco smoke. While PM measurements are not as specific, they can be taken continuously, allowing for assessment of exposure and its variation over time. In general, when nicotine and PM are measured in the same setting using a common sampling period, an increase in nicotine concentration of 1 µg/m(3) corresponds to an average increase of 10 µg/m3 of PM. This topic assessment presents a comprehensive summary of SHSe monitoring approaches using environmental markers and discusses the strengths and weaknesses of these methods and approaches.

Lung function and exposure to workplace second-hand smoke during exemptions from smoking ban legislation: an exposure-response relationship based on indoor PM2.5 and urinary cotinine levels.

BACKGROUND: The effects of workplace second-hand smoke (SHS) on lung function remain uncertain because of a lack of objective measures for SHS exposures. OBJECTIVE: To determine whether an exposure-response association exists between lung function and two different markers of SHS based on indoor fine particulate (PM(2.5)) and urinary cotinine levels in non-smoking catering workers. DESIGN: A cross-sectional study during a 1.5-year exemption of licensed catering premises from smoke-free legislation. Participants 186 non-smoking catering workers aged 18-65 years in Hong Kong were recruited. A declared non-smoking status was accepted in workers with exhaled breath carbon monoxide levels <6 ppm and urinary cotinine levels <100 ng/ml. MAIN OUTCOME MEASURES: Lung function measures of forced expiratory volume in 1s (FEV(1) in litres), forced vital capacity (FVC in litres) and forced expiratory flow as 25-75% of FVC (FEF(25-75) in l/s) were recorded. RESULTS: Indoor fine particulate (PM(2.5)) concentrations were 4.4 times as high in smoking premises (267.9 µg/m(3)) than in non-smoking premises (60.3 µg/m(3)) and were strongly associated with the probability of permitted smoking (R(2)=0.99). Smoking was the dominant source of particulates (R(2)=0.66). Compared with workers exposed to the lowest indoor PM(2.5) stratum (<25 µg/m(3)), lung function was lower in the three higher PM(2.5) strata (25-75, 75-175, >175 µg/m(3)) with FEV(1) -0.072 (95% CI -0.123 to -0.021), -0.078 (95% CI -0.132 to -0.024), -0.101 (95% CI -0.187 to -0.014); FEF(25-75) -0.368 (95% CI -0.660 to -0.077), -0.489 (95% CI -0.799 to -0.179), -0.597 (95% CI -0.943 to -0.251); and FEV(1)/FVC (%) -2.9 (95% CI -4.8 to -1.0), -3.2 (95% CI -5.1 to -1.4) and -4.4 (95% CI -7.4 to -1.3), respectively. Urinary cotinine was associated positively with indoor PM(2.5) but negatively with lung function. Consistently lower values for lung function per unit increase of indoor PM(2.5) were found. CONCLUSION: Lung function is inversely associated with workplace SHS. Workplace exemptions and delays in implementing smoke-free policies and current moves to relax legislation are a major threat to the health of workers.

Secondhand smoke (SHS) exposures: workplace exposures, related perceptions of SHS risk, and reactions to smoking in catering workers in smoking and nonsmoking premises.

INTRODUCTION: Smoke-free workplace legislation often exempts certain venues. Do smoking (exempted) and nonsmoking (nonexempted) catering premises' workers in Hong Kong report different perceptions of risk from and reactions to nearby smoking as well as actual exposure to secondhand smoke (SHS)? METHODS: In a cross-sectional survey of 204 nonsmoking catering workers, those from 67 premises where smoking is allowed were compared with workers from 36 nonsmoking premises in Hong Kong on measures of perceptions of risk and behavioral responses to self-reported SHS exposure, plus independent exposure assessment using urinary cotinine. RESULTS: Self-reported workplace SHS exposure prevalence was 57% (95% CI = 49%-65%) in premises prohibiting and 100% (95% CI = 92%-100%) in premises permitting smoking (p < .001). Workers in smoking-permitted premises perceived workplace air quality as poorer (odds ratio [OR] = 9.3, 95% CI = 4.2-20.9) with higher associated risks (OR = 3.7, 95% CI = 1.6-8.6) than workers in smoking-prohibited premises. Workers in smoking-prohibited premises were more bothered by (OR = 0.2, 95% CI = 0.1-0.5) and took more protective action to avoid SHS (OR = 0.2, 95% CI = 0.1-0.4) than workers in smoking-permitted premises. Nonwork exposure was negatively associated with being always bothered by nearby smoking (OR = 0.3, 95% CI = 0.1-0.9), discouraging nearby smoking (OR = 0.5, 95% CI = 0.2-1.1), and discouraging home smoking (OR = 0.4, 95% CI = 0.2-0.9). Urinary cotinine levels were inversely related to workers' avoidance behavior but positively related to their perceived exposure-related risks. CONCLUSIONS: Different workplace smoking restrictions predicted actual SHS exposure, exposure-related risk perception, and protective behaviors. Workers from smoking-permitted premises perceived greater SHS exposure-related risks but were more tolerant of these than workers in smoking-prohibited premises. This tolerance might indirectly increase both work and nonwork exposures.

Fine particle air pollution and secondhand smoke exposures and risks inside 66 US casinos.

Smoking bans often exempt casinos, exposing occupants to fine particles (PM(2.5)) from secondhand smoke. We quantified the relative contributions to PM(2.5) from both secondhand smoke and infiltrating outdoor sources in US casinos. We measured real-time PM(2.5), particulate polycyclic aromatic hydrocarbons (PPAH), and carbon dioxide (CO(2)) (as an index of ventilation rate) inside and outside 8 casinos in Reno, Nevada. We combined these data with data from previous studies, yielding a total of 66 US casinos with smoking in California, Delaware, Nevada, New Jersey, and Pennsylvania, developing PM(2.5) frequency distributions, with 3 nonsmoking casinos for comparison. Geometric means for PM(2.5) were 53.8 µg/m(3) (range 18.5-205 µg/m(3)) inside smoking casinos, 4.3 µg/m(3) (range 0.26-29.7 µg/m(3)) outside those casinos, and 3.1 µg/m(3) (range 0.6-9 µg/m(3)) inside 3 nonsmoking casinos. In a subset of 21 Reno and Las Vegas smoking casinos, PM(2.5) in gaming areas averaged 45.2 µg/m(3) (95% CI, 37.7-52.7 µg/m(3)); adjacent nonsmoking casino restaurants averaged 27.2 µg/m(3) (95% CI, 17.5-36.9 µg/m(3)), while PM(2.5) outside the casinos averaged 3.9 µg/m(3) (95% CI, 2.5-5.3 µg/m(3)). For a subset of 10 Nevada and Pennsylvania smoking casinos, incremental (indoor-outdoor) PM(2.5) was correlated with incremental PPAH (R(2)=0.79), with ventilation rate-adjusted smoker density (R(2)=0.73), and with smoker density (R(2)=0.60), but not with ventilation rates (R(2)=0.15). PPAH levels in 8 smoking casinos in 3 states averaged 4 times outdoors. The nonsmoking casinos' PM(2.5) (n=3) did not differ from outdoor levels, nor did their PPAH (n=2). Incremental PM(2.5) from secondhand smoke in approximately half the smoking casinos exceeded a level known to produce cardiovascular morbidity in nonsmokers after less than 2h of exposure, posing acute health risks to patrons and workers. Casino ventilation and air cleaning practices failed to control secondhand smoke PM(2.5). Drifting PM(2.5) from secondhand smoke contaminated unseparated nonsmoking areas. Smoke-free casinos reduced PM(2.5) to the same low levels found outdoors.

Measurement of fine particles and smoking activity in a statewide survey of 36 California Indian casinos.

Despite California's 1994 statewide smoking ban, exposure to secondhand smoke (SHS) continues in California's Indian casinos. Few data are available on exposure to airborne fine particles (PM2.5) in casinos, especially on a statewide basis. We sought to measure PM2.5 concentrations in Indian casinos widely distributed across California, exploring differences due to casino size, separation of smoking and non-smoking areas, and area smoker density. A selection of 36 out of the 58 Indian casinos throughout California were each visited for 1-3 h on weekend or holiday evenings, using two or more concealed monitors to measure PM2.5 concentrations every 10 s. For each casino, the physical dimensions and the number of patrons and smokers were estimated. As a preliminary assessment of representativeness, we also measured eight casinos in Reno, NV. The average PM2.5 concentration for the smoking slot machine areas (63 µg/m³) was nine times as high as outdoors (7 µg/m³), whereas casino non-smoking restaurants (29 µg/m³) were four times as high. Levels in non-smoking slot machine areas varied: complete physical separation reduced concentrations almost to outdoor levels, but two other separation types had mean levels that were 13 and 29 µg/m³, respectively, higher than outdoors. Elevated PM2.5 concentrations in casinos can be attributed primarily to SHS. Average PM2.5 concentrations during 0.5-1 h visits to smoking areas exceeded 35 µg/m³ for 90% of the casino visits.

Secondhand smoke in Pennsylvania casinos: a study of nonsmokers' exposure, dose, and risk.

OBJECTIVES: I assessed air pollution, ventilation, and nonsmokers' risk from secondhand smoke (SHS) in Pennsylvania casinos exempted from a statewide smoke-free workplace law. METHODS: I measured respirable suspended particles (RSPs), particulate polycyclic aromatic hydrocarbons (PPAHs), and carbon dioxide inside and outside casinos; measured changes in patrons' urine cotinine after casino visits; and assessed SHS impact on workers and patrons, using exposure-response models, air quality standards, and odor and irritation thresholds. RESULTS: PPAH and RSP concentrations in casinos were, on average, 4 and 6 times, respectively, that of outdoor levels despite generous ventilation and low smoking prevalence. SHS infiltrated into nonsmoking gaming areas. Patrons' urine cotinine increased 1.9 ng/mL on average after about 4-hour visits. CONCLUSIONS: SHS-induced heart disease and lung cancer will cause an estimated 6 Pennsylvania casino workers' deaths annually per 10,000 at risk, 5-fold the death rate from Pennsylvania mining disasters. Casinos should not be exempt from smoke-free workplace laws.

Differential impacts of smoke-free laws on indoor air quality.

The authors assessed the impacts of two different smoke-free laws on indoor air quality. They compared the indoor air quality of 10 hospitality venues in Lexington and Louisville, Kentucky, before and after the smoke-free laws went into effect. Real-time measurements of particulate matter with aerodynamic diameter of 2.5 microm or smaller (PM2.5) were made. One Lexington establishment was excluded from the analysis of results because of apparent smoking violation after the law went into effect. The average indoor PM2.5 concentrations in the nine Lexington venues decreased 91 percent, from 199 to 18 microg/m3. The average indoor PM2.5 concentrations in the 10 Louisville venues, however, increased slightly, from 304 to 338 microg/m3. PM2.5 levels in the establishments decreased as numbers of burning cigarettes decreased. While the Louisville partial smoke-free law with exemptions did not reduce indoor air pollution in the selected venues, comprehensive and properly enforced smoke-free laws can be an effective means of reducing indoor air pollution.

Air pollution in Boston bars before and after a smoking ban.

BACKGROUND: We quantified the air quality benefits of a smoke-free workplace law in Boston Massachusetts, U.S.A., by measuring air pollution from secondhand smoke (SHS) in 7 pubs before and after the law, comparing actual ventilation practices to engineering society (ASHRAE) recommendations, and assessing SHS levels using health and comfort indices. METHODS: We performed real-time measurements of respirable particle (RSP) air pollution and particulate polycyclic aromatic hydrocarbons (PPAH), in 7 pubs and outdoors in a model-based design yielding air exchange rates for RSP removal. We also assessed ventilation rates from carbon dioxide concentrations. We compared RSP air pollution to the federal Air Quality Index (AQI) and the National Ambient Air Quality Standard (NAAQS) to assess health risks, and assessed odor and irritation levels using published SHS-RSP thresholds. RESULTS: Pre-smoking-ban RSP levels in 6 pubs (one pub with a non-SHS air quality problem was excluded) averaged 179 microg/m3, 23 times higher than post-ban levels, which averaged 7.7 microg/m3, exceeding the NAAQS for fine particle pollution (PM2.5) by nearly 4-fold. Pre-smoking ban levels of fine particle air pollution in all 7 of the pubs were in the Unhealthy to Hazardous range of the AQI. In the same 6 pubs, pre-ban indoor carcinogenic PPAH averaged 61.7 ng/m3, nearly 10 times higher than post-ban levels of 6.32 ng/m3. Post-ban particulate air pollution levels were in the Good AQI range, except for 1 venue with a defective gas-fired deep-fat fryer, while post-ban carcinogen levels in all 7 pubs were lower than outdoors. CONCLUSION: During smoking, although pub ventilation rates per occupant were within ASHRAE design parameters for the control of carbon dioxide levels for the number of occupants present, they failed to control SHS carcinogens or RSP. Nonsmokers' SHS odor and irritation sensory thresholds were massively exceeded. Post-ban air pollution measurements showed 90% to 95% reductions in PPAH and RSP respectively, differing little from outdoor concentrations. Ventilation failed to control SHS, leading to increased risk of the diseases of air pollution for nonsmoking workers and patrons. Boston's smoking ban eliminated this risk.

Exposure to second-hand smoke air pollution assessed from bar patrons' urinary cotinine.

We used physical and pharmacokinetic modeling to estimate personal exposures to respirable particle (RSP) and carcinogenic particulate polycyclic aromatic hydrocarbon (PPAH) air pollution from second-hand smoke (SHS) from the increase in urinary cotinine of eight patrons of three bars in Bismarck, North Dakota. We compared SHS-RSP levels to the U.S. Air Quality Index (AQI), used to forecast outdoor air pollution conditions. We measured smoker density and air exchange rates to generalize our results. Urinary cotinine increased by an average of 4.28 ng/ml to 6.88 ng/ml to 9.55 ng/ml above preexposure background from 6-hr exposures in the three bars. Corresponding estimated SHS-RSP levels were, respectively, 246 microg/m3, 396 microg/m3, and 549 microg/m3, comparable to those measured in 6 Wilmington, Delaware, bars and in 14 western New York bars. Estimated personal SHS-RSP air pollution exposures for the eight subjects, when converted to the 24-hr averaging time of the AQI, were "code red" (unhealthy). Measured outdoor air quality RSP levels for the same period were 1%-3% of the indoor RSP levels in the three bars, and were AQI "code green" (healthy). Estimated SHS-PPAH levels were comparable to peak 3-hr PPAH levels reported at a highway tollbooth. Bismarck cotinine-estimated SHS-RSP varied with smoker density, as did measured SHS-RSP levels in smoking bars in Delaware and New York. Our results show that smoking in bars produces levels of personal air pollution for bar patrons that merit air pollution alerts when sustained in the outdoor air.

Correlating atmospheric and biological markers in studies of secondhand tobacco smoke exposure and dose in children and adults.

OBJECTIVE: We sought to directly compare secondhand smoke (SHS) atmospheric markers to each other and to SHS dosimetric biomarkers, permitting intercomparison of clinical and atmospheric studies. METHODS: We used atmospheric and pharmacokinetic (PK) models for the quantitative estimation of SHS exposure and dose for infants, children, and adults, based on building smoker density and air exchange rate, and from exposure duration, default PK parameters, and respiration rates. RESULTS: We estimate the SHS serum cotinine doses for the typical and most-exposed individuals in the U.S. population; predictions compare well to measurements on a national probability sample. Using default respiration rates, we estimate serum cotinine dose from SHS nicotine exposure for 40 adults exposed to SHS in an environmental chamber; predictions agreed with observations. We correlate urine cotinine and hair nicotine levels for 127 infants exposed to parental smoking, and estimate corresponding atmospheric nicotine exposure via PK modeling. CONCLUSIONS: Our "Rosetta Stone" Equations allow the SHS atmospheric markers, respirable particles, nicotine, and carbon monoxide, to be related to the SHS biomarkers, cotinine in blood, urine, and saliva and nicotine in hair, permitting intercomparison of clinical and atmospheric studies of SHS for the first time.

Risks for heart disease and lung cancer from passive smoking by workers in the catering industry.

Workers in the catering industry are at greater risk of exposure to secondhand smoke (SHS) when smoke-free workplace policies are not in force. We determined the exposure of catering workers to SHS in Hong Kong and their risk of death from heart disease and lung cancer. Nonsmoking catering workers were provided with screening at their workplaces and at a central clinic. Participants reported workplace, home, and leisure time exposure to SHS. Urinary cotinine was estimated by enzyme immunoassay. Catering facilities were classified into three types: nonsmoking, partially restricted smoking (with nonsmoking areas), and unrestricted smoking. Mean urinary cotinine levels ranged from 3.3 ng/ml in a control group of 16 university staff through 6.4 ng/ml (nonsmoking), 6.1 ng/ml (partially restricted), and 15.9 ng/ml (unrestricted smoking) in 104 workers who had no exposures outside of work. Workers in nonsmoking facilities had exposures to other smoking staff. We modeled workers' mortality risks using average cotinine levels, estimates of workplace respirable particulates, risk data for cancer and heart disease from cohort studies, and national (US) and regional (Hong Kong) mortality for heart disease and lung cancer. We estimated that deaths in the Hong Kong catering workforce of 200,000 occur at the rate of 150 per year for a 40-year working-lifetime exposure to SHS. When compared with the current outdoor air quality standards for particulates in Hong Kong, 30% of workers exceeded the 24-h and 98% exceeded the annual air quality objectives due to workplace SHS exposures.

Respirable particles and carcinogens in the air of delaware hospitality venues before and after a smoking ban.

How do the concentrations of indoor air pollutants known to increase risk of respiratory disease, cancer, heart disease, and stroke change after a smoke-free workplace law? Real-time measurements were made of respirable particle (RSP) air pollution and particulate polycyclic aromatic hydrocarbons (PPAH), in a casino, six bars, and a pool hall before and after a smoking ban. Secondhand smoke contributed 90% to 95% of the RSP air pollution during smoking, and 85% to 95% of the carcinogenic PPAH, greatly exceeding levels of these contaminants encountered on major truck highways and polluted city streets. This air-quality survey demonstrates conclusively that the health of hospitality workers and patrons is endangered by tobacco smoke pollution. Smoke-free workplace laws eliminate that hazard and provide health protection impossible to achieve through ventilation or air cleaning.

The tobacco industry's political efforts to derail the EPA report on ETS.

Previously secret tobacco industry documents detailed a multifaceted approach of political strategies aimed to derail the 1993 Environmental Protection Agency (EPA) risk assessment on environmental tobacco smoke (ETS). These pervasive strategies included the following: (1) lobbying the first Bush Administration to approve an executive order that would impose new risk assessment standards for federal agencies, thus delaying the release of the EPA report; (2) having the first Bush Administration transfer jurisdiction over ETS from the EPA to Occupational Safety and Health Administration (OSHA), thus obviating the need for the release of the EPA report; and (3) applying enormous political pressure directly by alleging improper procedure and policy at EPA. Although some of the attempted strategies failed, the political pressure from Congressman Thomas Bliley (R-VA) was a success. This is the first report showing how a single member of Congress in conjunction with his staff, tobacco industry attorneys, and executives worked very aggressively to do the tobacco industry's bidding. These tactics successfully delayed the EPA risk assessment and placed a cloud over its validity that was not fully vindicated until December 2002 when the U.S. 4th Circuit Court of Appeals overturned the tobacco industry's suit against the EPA. The documents show that the industry will expend whatever effort is necessary to protect itself from public health policy that would adversely affect consumption of cigarettes and, therefore, profit.

Assessment of sources of second-hand smoke exposure in a putatively unexposed population.

The authors sought to determine levels of urinary cotinine and its association with collateral exposure to second-hand smoke in public health workers. Urinary cotinine was measured twice at 1-wk intervals in 28 public health workers or their spouses. Information on sources of second-hand smoke exposure and a dietary history were obtained from each participant. Geometric mean and median cotinine levels were 2.74 and 2.33 ng/mL, respectively. Only 6 instances of second-hand smoke exposure were reported from a combined 204 days of potential exposure, and these did not correspond to higher cotinine values. There was no association between consumption of foods containing nicotine and log-transformed urine cotinine levels (p = .80). The authors' analysis indicates dietary sources of nicotine are not important, even for persons with very low urinary cotinine levels. Further study is needed to determine sources of variation in urinary cotinine among largely unexposed populations.

Second-hand smoke exposure and blood lead levels in U.S. children.

BACKGROUND: Lead is a component of tobacco and tobacco smoke, and smokers have higher blood lead levels than do nonsmokers. METHODS: We examined the relation between second-hand smoke exposure and blood lead levels in a nationally representative sample of 5592 U.S. children, age 4-16 years, who participated in the Third National Health and Nutrition Examination Survey (1988-1994). Linear and logistic regression modeling was used to adjust for known covariates. RESULTS: Geometric mean blood lead levels were 1.5 mug/dL, 1.9 mug/dL, and 2.6 mug/dL for children with low, intermediate, and high cotinine levels, respectively. The adjusted linear regression model showed that geometric mean blood lead levels were 38% higher (95% confidence interval [CI] = 25-52%) in children with high cotinine levels compared with children who had low cotinine levels. The logistic regression models showed that children with high cotinine levels were more likely to have blood lead levels >/=10 mug/dL than were children with low cotinine levels (odds ratio [OR] = 4.4; CI = 1.9-10.5). CONCLUSIONS: Second-hand smoke could be associated with increased blood lead levels in U.S. children aged 4-16 years.