Background

Air pollution refers to both man-made and naturally occurring pollutants in the air we breathe. Although air pollution is often invisible and odorless, exposure to it is ubiquitous and a threat to public health. Air pollutants include, but are not limited to noxious gases, fine particles produced by the burning of fossil fuels, and tobacco smoke. Air pollution increases the risk for develo** heart and respiratory diseases [17]. In addition, air pollution exposure has been associated with the risk for develo** some cancers, the most common being lung [18, 24, 54], breast [48, 50], and bladder [42]. A meta-analysis of 30 cohort studies from 14 countries found that across numerous cancers, exposure to particulate matter (PM) 2.5, PM 10, and nitrogen dioxide was associated with an increase in cancer mortality [26].

There have been efforts at the policy level to control indoor and outdoor air pollution. Some examples in recent years include the Clean Air Act of 1970 in the United States (U.S.) and World Health Organization interim targets concerning PM control on cardiovascular disease mortality, both of which have led to a decrease in particle pollution and ground-level ozone pollution [33, 47]. Nevertheless, approximately seven million people die from air pollution exposure around the world every year [23]. Further, adverse health effects due to air pollution exposure are often concentrated in among those who have been characterized as having low socioeconomic status and individuals suffering from pre-existing conditions [38].

It is important to distinguish between outdoor and indoor air pollution as they each pose different health risks. Outdoor air pollution refers to pollutants such as ground-level ozone, noxious gases, and fine particles produced by burning fossil fuels by motor vehicles and power plants. Exposure to chemicals found in air pollution are harmful to humans because these chemicals are often small enough to penetrate deep inside the lungs and cause a variety of adverse reactions such as early impairment of airway function, chronic system inflammation, oxidative stress, and lung cancer [4, 18, 52].

Indoor air pollution refers to air pollutants found inside our homes, schools, and other building environments. Sources of the most common indoor air pollutants from economically develo** countries often differ from the sources found in economically developed countries like the US. Common indoor air pollutants in the US are derived from secondhand smoke, carbon monoxide exposure from gas and wood stoves primarily used in rural areas [51], and radon exposure from building foundations [49]. Additionally, volatile organic compounds (VOCs) are chemicals found in many household products such as aerosol sprays, cleaners, and pesticides contain toxic and carcinogenic compounds such as benzene and toluene in the air and water [13]. Overall, indoor air pollution remains a major public health concern because people often spend most of their time indoors at work or inside their homes, further intensifying the concentration of exposure to harmful indoor pollutants. In the United States, specifically, “radon, a major indoor air pollutant, is the second leading cause of cancer and responsible for 15,000 to 20,000 deaths each year” [37].

Effective risk communication and targeted interventions, such as household and behavior change interventions, can be productive tools to mitigate the adverse effects of air pollution exposure. Additionally, it is important to inform the public about the risks associated with air pollution in ways that do not create a sense of unwarranted indifference, while at the same time, not creating unwarranted anxiety [19]. Nevertheless, due to individual variability in air pollution exposure and public health risk across the US, develo** a one-size-fits-all risk communication strategy along with targeted interventions can be challenging and ineffective. In order for risk communication to be effective, information should be current and appropriate to the targeted audience [46].

Several studies have examined participants’ perception of harm due to air pollution exposure [16, 32, 35]. However, to our knowledge, there have been no studies that have explicitly measured one’s worry of harm from indoor and outdoor air pollution exposure. Additionally, studies regarding air pollution perception have not been conducted in the U.S. nor have they explored cancer-related characteristics, such as family cancer history and perception of one’s cancer risk [3, 29, 40]. Lastly, many of these studies were focused on either indoor or outdoor air pollution separately or used the term “air pollution” without distinguishing whether it was indoor or outdoor [21, 27, 41]. The purpose of this study was to examine sociodemographic and cancer-related characteristics associated with worry of harm from exposure to indoor air pollution (IAP) and outdoor air pollution (OAP) using data from a nationally representative survey in the US.

Methods

The Health Information National Trends Survey (HINTS) is a nationally representative survey supported by the National Cancer Institute that aims to describe cancer-related knowledge, beliefs, attitudes, and behaviors of adults in the US. HINTS uses a probability sample of U.S. telephone numbers to reach a cross-section of the adult, non-institutionalized, and civilian U.S. population. Data were collected using a computer-assisted telephone interview system administered in English or Spanish. Response rates were calculated using the Response Rate 2 (RR2) formula of the American Association of Public Opinion Research [36]. We utilized data from the 2012 iteration of the HINTS 4 Cycle 2. There was a total of 3,630 participants in the 2012 iteration of the HINTS with an overall response rate of 40%. Racial and ethnic minorities were oversampled to increase the precision of estimates for minority sub-populations. Additional details on the HINTS methodology as well as access to the complete HINTS datasets can be found on hints.cancer.gov as well as previous literature and reports [1, 56].

For this study, we used the questions “How much do you worry that indoor air pollution will harm your health?” and “How much do you worry that outdoor air pollution will harm your health?”. Participants were able to respond: “not at all”, “a little”, “somewhat”, or “a lot” to each question. Due to the lack in significant differences in ORs for the “a little” and “somewhat” responses for indoor and outdoor air pollution and the variables of interest, we combined the two responses into “some or a little” to create a total of three response categories: “a lot”, “some or a little”, and “not at all” (data not shown).

Sociodemographic variables included sex (male and female), age (18–34, 35–49, 50–64, and ≥ 65), race/ethnicity (Hispanic, non-Hispanic white, non-Hispanic black, and Asian, Pacific Islander, other), whether someone was born in the United States, education level (high school diploma or less, some college or post-high school vocational training, bachelor’s degree or more), annual household income (≤ $20,000, $20,000–34,999, $35,000–49,000, $50,000–74,000, and ≥ $75,000), smoking status (never smoker, former smoker, and current smoker), and whether respondents resided in a rural or metropolitan county. For our analysis, non-metropolitan and metropolitan residence was determined based on Rural Urban Continuum Codes in which categories 1 through 3 (counties with 250,000 residents or more) were considered “metropolitan” and categories 4 through 9 (counties with less than 250,000 residents) were considered “non-metropolitan” [57]. In addition to sociodemographic variables, we also examined cancer-related variables including family history of cancer (No, Not Sure, Yes), previous diagnosis of lung disease, which included chronic lung disease, asthma, emphysema, and/or chronic bronchitis (No, Yes), and perceived likelihood of getting cancer (Very Unlikely or Unlikely, Neither Likely or Likely, and Very Likely or Likely).

Bivariate analyses of sociodemographic variables and cancer-related characteristic variables by worry of harm from IAP and OAP were conducted using the Wald chi-squared test and unadjusted odds ratios and 95% confidence intervals were calculated for each of the variables. In addition, a sensitivity analysis was conducted to confirm there were no major differences in estimates of odds ratios between the separate “somewhat” and “a little” response categories and the combined “some or a little” response category we created for IAP and OAP when compared to the “not at all” response category. There were no major differences in odds ratios between the original IAP and OAP discrete “somewhat” and “a little” response categories and the combined category, therefore we used the combined response (“some or a little”) category for IAP and OAP for our analysis. The final response categories were: “not at all”, “some or a little”, and “a lot” for IAP and OAP. A p-value of less than or equal to 0.05 was used to determine statistical significance. Multinomial logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI) for the association between sociodemographic and cancer-related variables and worry of harm from IAP and OAP (separately). Participants with any missing values were removed from the logistic regression analysis. All models were adjusted for demographic variables including sex, race/ethnicity, education, and non-metropolitan-metropolitan residence. SAS (version 9.4; Cary, NC) was used to conduct all statistical analyses.

Results

The distribution of demographic factors for the sample population and the weighted population are presented in Table 1. Among the sample population, a little more than half consisted of women (n = 2,172, 51.4%). Nearly two-thirds (62.7%) of the respondents were non-Hispanic white, while 1,057 (37.6%) had completed some college or post-high school vocational training, and 926 (31.0%) had an annual household income greater than $75,000. Most respondents (68.5%) reported a known family history of cancer while 20% of respondents (n = 621) believed they had a very likely or likely chance of getting cancer themselves. The prevalence of respondents who had at least some or a little worry of harm for IAP and OAP was 55.2% and 57.0%, respectively. Additionally, the prevalence of respondents who worried “a lot” about harm from IAP and OAP were 12.7% and 17.3%, respectively.

Table 1 Sociodemographic and Cancer-Related Variable Summary
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Bivariate analyses

Bivariate associations between worry of harm from IAP and OAP with sociodemographic and cancer characteristic variables are presented in Tables 2 and 3, respectively. Worry of harm from IAP was statistically significantly associated with race/ethnicity, education, non-metropolitan-metropolitan residence, and likelihood of getting cancer (Table 2). Worry of harm from OAP was statistically significantly associated with sex, race/ethnicity, whether someone was born in the U.S., education, smoking status, non-metropolitan-metropolitan residence, previous family history of cancer, previous lung disease diagnosis, and likelihood of getting cancer (Table 3). The magnitude of association was presented as unadjusted odds ratios and 95% confidence intervals calculated for worry of harm from IAP and OAP with sociodemographic and cancer characteristic variables (see: Supplemental Table).

Table 2 Bivariate analysis of select characteristics and worry of harm from IAP
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Table 3 Bivariate analysis of select characteristics and worry of harm from OAP
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Multivariable analyses

The association of worry of harm from IAP and OAP with select sociodemographic and cancer characteristics is presented in Table 4. Asians, Pacific Islanders, and those from other races (OR: 4.74, 95% CI: 1.93 – 11.67) and Hispanics (OR: 2.44, 95% CI: 1.34 – 4.43) were more likely to worry “a lot” about harm from IAP compared to non-Hispanic whites. Those who obtained a high school diploma or less were more likely to worry “a lot” about harm from IAP compared to those who were a college graduate or obtained a post-graduate degree (OR: 2.38, 95% CI: 1.39 – 4.08). Additionally, those who believed they were very likely or likely to get cancer in their lifetime were approximately two times more likely to worry “a lot” about harm from IAP compared to those who believed they were neither unlikely or likely to get cancer in their lifetime (OR: 1.99, 95% CI: 1.20 – 3.29). Lastly, respondents who were born outside the U.S. were more likely to worry “some or a little” (OR: 1.90, 95% CI: 1.11 – 2.93) and “a lot” (OR: 5.64, 95% CI: 3.52 – 9.01) about IAP than respondents who were born in the U.S.

Table 4 Multinomial Logistic Regression Analysis of IAP and OAP
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Women were more likely to worry “a lot” about harm from OAP compared to men (OR: 1.95, CI: 1.24 – 3.08). Asians, Pacific Islanders, and those from other races (OR: 6.25, 95% CI: 2.92 – 13.36) and Hispanics (OR: 3.02, 95% CI: 1.78 – 5.15) were more likely to worry “a lot” about harm from OAP compared to non-Hispanic whites. Those who obtained a high school diploma or less were more likely to worry “a lot” about harm from OAP compared to those who obtained a college graduate or post-graduate degree (OR: 1.64, 95% CI: 1.03 – 2.61). Participants who lived in an metropolitan county were more likely to worry “a lot” about harm from OAP compared to those who live in non-metropolitan counties (OR: 1.88, 95%CI: 1.08 – 3.28). Respondents who were born outside the U.S. were approximately 4.60 times more likely than those born in the U.S. to worry about harm from OAP (OR: 4.60, 95%CI: 2.78 – 7.63). Additionally, those who had a diagnosis of lung disease were more likely to worry “a lot” about harm from OAP compared to those who did not have a diagnosis of lung disease (OR: 2.10, 95% CI: 1.20 – 3.68). Finally, those who believed they were very likely or likely to get cancer in their lifetime were approximately 2.5 times more likely to worry “a lot” about harm from OAP compared to those who believed they were neither unlikely or likely to get cancer in their lifetime (OR: 2.56, 95% CI: 1.57 – 4.19).

Discussion

Data from the 2012 HINTS suggest that there are several subgroups of the U.S. population that worried more about harm from IAP and OAP compared to others. The subgroups included women, Hispanics, Asians/Pacific Islanders, and other races (in comparison to non-Hispanic Whites), people born outside the United States, those who lived in metropolitan counties, as well as people who have a previous family cancer history and/or lung disease diagnosis (in comparison to those who do not have a previous family cancer history and/or lung disease diagnosis). Our findings indicate that such groups should be considered when develo** air pollution risk communication and intervention strategies. Additionally, our results suggest that more communication regarding the prevalence and risks of indoor air pollution exposure is needed.

Our finding that women were nearly twice as likely as men to be worried “a lot” about outdoor air pollution is consistent with what the literature suggests about environmental risks and women. Other studies have found that women, especially those with children, are more aware of and concerned about environmental risks [14, 27]. One possible reason for this is because air pollution has been associated with poor reproductive health outcomes including infertility, miscarriage, and stillbirth [11, 20]. Moreover, one case control study found that prenatal exposure to ambient PM2,5 increased mental stress for pregnant women [45]. Risk communication should also consider perception of air pollution exposure within microenvironments including one’s commute. For example, research suggesting that changing one’s bicycle route to areas with less motorized traffic may decrease exposure to particulate matter, odor, and nasopharyngeal irritation [10] could be included in communication materials as a protective action against air pollution exposure. It is important to understand what factors influence adherence to communication tools such as public service announcements, the AQI, etc. Future research is warranted which includes greater study participation, more detailed questions about indoor and/or outdoor air pollution knowledge, longitudinal data collection, and more information on whether participants live in areas with high levels of air pollution exposure.