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20 November 2022

Insight into the Burden of Malignant Respiratory Tumors and their Relationship with Smoking Rates and Lead Contamination in Mexico

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Facultad de Ingeniería Civil, Universidad de Colima, km. 9 Carretera Colima-Coquimatlán, Coquimatlán C.P. 28400, Colima, Mexico
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Departamento de Epidemiología, Unidad de Medicina Familiar No. 19, Instituto Mexicano del Seguro Social, Av. Javier Mina 301, Col. Centro, Colima C.P. 28000, Colima, Mexico
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Facultad de Medicina, Universidad de Colima, Av. Universidad 333, Col. Las Víboras, Colima C.P. 28040, Colima, Mexico
4
Laboratorio de Toxicología Molecular, Centro de Investigación Aplicada en Ambiente y Salud (CIAAS), Coordinación Para La Innovación y Aplicación de La Ciencia y La Tecnología (CIACyT), Universidad Autónoma de San Luis Potosí, Av. Sierra Leona 550, Col. Lomas Segunda Sección, San Luis Potosí C.P. 78210, San Luis Potosí, Mexico
Toxics2022, 10(11), 708;https://doi.org/10.3390/toxics10110708
This article belongs to the Special Issue Heavy Metal Contamination in Soil and Health Risks
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Abstract

We aimed to report the results from the Global Burden of Disease Study 2019 related to respiratory malignant tumors (tracheal, bronchial, and lung) in Mexico. We also evaluated the relationship between the burden of these neoplasms and the proportion of daily smokers and total lead emissions in 2019. A cross-sectional analysis of ecological data was performed. The burden of these tumors was 152,189 disability-adjusted life-years (DALYs), and years of life lost (YLL) contributed to 99% of them. The highest DALYs rates (per 100,000) were observed in the states of Sinaloa, Chihuahua, Baja California Sur, Sonora, and Nayarit. We documented a linear relationship between the DALYs rates and the prevalence of daily smokers (β = 8.50, 95% CI 1.58–15.38) and the total lead emissions (tons/year: β = 4.04, 95% CI 0.07–8.01). If later replicated, our study would provide insight into the major relevance of regulating tobacco use and the activities associated with the production of lead dust and other hazardous contaminants.

1. Introduction

In Mexico, as in the rest of the world, respiratory malignant tumors (tracheal, bronchial, and lung) are the leading cause of cancer-related deaths [,], and increasing trends in mortality rates have been documented []. Factors determining the latter are numerous and published data that suggest that nearly three out of four respiratory malignant tumors are attributable to potentially modifiable risk factors, including smoking [].
Moreover, and since the corresponding population-attributable fraction of respiratory cancers is nearly two-thirds, tobacco use is the leading risk factor for these neoplasms []. Fine particulate air pollution may also play a role in the pathogenesis of these tumors []. Lead is a metal that can be found in fine particulate air pollution and is an established carcinogen in experimental animals [,]. The administration of inorganic lead to rats and mice via different routes resulted in the development of renal tumors, gliomas, and/or lung adenomas. In humans, this metal is classified as a possible carcinogen []. The results of observational epidemiologic studies investigating the association of lead exposure with cancer are inconsistent and vary according to the type of cancers reported [,,].
In Mexico, the Pollutant Emissions and Transfer Register (RETC, its Spanish acronym), derived from the commitments acquired as a result of the signing of the Free Trade Agreement with the countries of North America (NAFTA), contains data on the substances that are emitted into the air, water, soil, and subsoil or are transferred in discharges to the sewage system and hazardous waste. Lead is one of the 200 substances included in this information system []. Data regarding tobacco exposure by the state of residence are also available in Mexico. These data surge from a probabilistic survey called the National Survey of Drug, Alcohol, and Tobacco Consumption (ENCODAT, its Spanish acronym).
In this article, we aimed to report the results from the Global Burden of Disease Study 2019 (GBD 2019) related to respiratory malignant tumors (namely tracheal, bronchial, and lung). We also evaluated the relationship between the burden of these neoplasms, the prevalence of daily smokers, and the total lead emissions reported by the RETC.

2. Methods

We performed a cross-sectional analysis that included three publicly available global and regional (Mexico) datasets. Data regarding the burden of tracheal (International Statistical Classification of Diseases and Related Health Problems, 10th revision [ICD-10], C33), bronchus, and lung (ICD-10 C34) cancer in the 32 states of Mexico were obtained from the Global Burden of Disease Study 2019 (GBD 2019) (https://vizhub.healthdata.org/gbd-results/, accessed on 21 October 2022). Retrieved information included the gender-stratified incidence and mortality rates (per 100,000), as well as the DALYs as absolute numbers and rates (per 100,000).
Data regarding the exposure to tobacco, specifically the prevalence of daily smokers per state, were retrieved from the latest (2017) ENCODAT (https://encuestas.insp.mx/repositorio/encuestas/ENCODAT2016/descargas.php, accessed on 21 October 2022). The mean environmental exposure to lead dust (tons/year) was retrieved from the levels of emission and transfer of substances, by state, from the RETC of the Ministry of Environment and Natural Resources of Mexico, corresponding to 2019 http://sinat.semarnat.gob.mx/retc/retc/index.php, accessed on 21 October 2022). Data for 24 out of 32 states of Mexico were available in the previously cited repository. The states that lacked information were Aguascalientes, Baja California Sur, Chiapas, Mexico City, Michoacán de Ocampo, Morelos, Nayarit, and Quintana Roo.
Summary statistics were computed. We used Spearman’s rank correlation coefficients (rho) and regression coefficients ( β ) and 95% confidence intervals (CI) computed through linear regression models to assess the relationship between the burden of the analyzed respiratory malignant tumors and the evaluated exposures. Since we analyzed aggregated publicly available data entirely for academic purposes, the evaluation of the research protocol by an ethics committee was waived.

3. Results

During 2019, the incidence rate (per 100,000) of respiratory-track malignant tumors in Mexico was 8.7 (95% CI 7.5–10.1) and it was higher among males (11.3 [95% CI 9.3–13.9] vs. 6.2 [95% CI 5.1–7.5]). The mortality rate (per 100,000) was 11.7 (95% CI 9.6–14.2) and 6.0 (95% CI 4.9–7.3) in males and females, respectively (overall: 8.8 [95% CI 7.5–10.2]). The state- and gender-stratified incidence and mortality rates are summarized in Figure 1.
Figure 1. Sex-stratified incidence (a) and mortality (b) rates (per 100,000) due to tracheal, bronchus, and lung cancers in Mexico, 2019.
As presented in Table 1, the total DALYs due to tracheal, bronchial, and lung cancers were 152,189 and the YLL contributed to 99% ( n = 147,278) of the disease burden. The mean DALYs rate (per 100,000) was 197.3 and ranged from 113.1 (Tlaxcala) to 312.2 (Sinaloa). The rate in males almost doubled that observed in females (260.4 vs. 137.0 per 100,000).
Table 1. Burden of tracheal, bronchus, and lung cancer in the states of Mexico, 2019.
Considering the 24 states of Mexico where lead-related data were available, the median proportion of adult daily smokers was 6.2 and ranged (interquartile range) from 3.0 to 8.4. The states of Chihuahua (12.0%) and Oaxaca (1.1%) showed the highest and lowest prevalence, respectively (Figure 2). Spearman’s rank correlation coefficient (rho) was significant (rho = 0.56, p = 0.001).The median lead emissions were 0.4 tons/year and ranged (interquartile range) from 0.1 to 1.4 tons/year. The state of Sonora showed the highest emissions (27.0 tons/year). Figure 2 presents the relationship between DALYs rates and lead emissions in 24 states in which data regarding environmental exposure were available (Figure 3). The correlation coefficients were significant in the general analysis (rho = 0.48, p = 0.017). If the state of Sonora was excluded, the estimate was still significant (rho = 0.43, p = 0.040).
Figure 2. Proportion (%) of adult daily smokers and Disability-Adjusted Life-Years (DALYs) rate (per 100,000) due to tracheal, bronchus, and lung cancer in both genders, Mexico 2019. Note: (a) Spearman’s rank correlation coefficient (rho) was 0.56 (p = 0.001); (b) 2, Baja California; 4, Campeche; 6, Chihuahua; 7, Coahuila; 8, Colima; 9, Durango; 10, Estado de México; 11, Guanajuato; 12, Guerrero; 13, Hidalgo; 14, Jalisco; 17, Nuevo León; 20, Oaxaca; 21, Puebla; 22, Querétaro; 23, San Luis Potosí; 25, Sinaloa; 26, Sonora; 27, Tabasco; 28, Tamaulipas; 29, Tlaxcala; 30, Veracruz de Ignacio de la Llave; 31, Yucatán; 32, Zacatecas.
Figure 3. Mean environmental exposure to lead dust (tons/year) and Disability-Adjusted Life-Years (DALYs) rate (per 100,000) due to tracheal, bronchus, and lung cancer in both genders, Mexico 2019. Note: (a) Spearman’s rank correlation coefficient (rho) was: 0.48 (p = 0.017); (b) 2, Baja California; 4, Campeche; 6, Chihuahua; 7, Coahuila; 8, Colima; 9, Durango; 10, Estado de México; 11, Guanajuato; 12, Guerrero; 13, Hidalgo; 14, Jalisco; 17, Nuevo León; 20, Oaxaca; 21, Puebla; 22, Querétaro; 23, San Luis Potosí; 25, Sinaloa; 26, Sonora; 27, Tabasco; 28, Tamaulipas; 29, Tlaxcala; 30, Veracruz de Ignacio de la Llave; 31, Yucatán; 32, Zacatecas.
In a multiple regression analysis, the total lead emissions (tons/year: β = 4.04, 95% CI 0.07–8.01; p = 0.047) and the prevalence of daily smokers ( β = 8.50, 95% CI 1.58–15.38; p = 0.018) were associated with the DALYs rates due to respiratory malignant tumors (adjusted R2 = 0.35). The raw data matrices are included in Supplementary Data S1.

4. Discussion

In our analysis, we observed a linear relationship between the burden of respiratory malignant tumors, the prevalence of daily smokers, and the normative environmental lead emissions. Our results, if later replicated, would be helpful to better understand the trends and variation of respiratory malignant tumors, which is critical to good health system planning and the development of epidemiologic vigilance and prevention programs.
In Mexico, policies focusing on the control of tobacco use have been implemented since 2007 when the taxes on these products increased from 54.2% to 58.9% of the final price []. These interventions, together with others under the World Health Organization’s Framework Convention on Tobacco Control, produced a decline in daily tobacco use in Mexico from 13.5% of the population to 7.7% from 2002 to 2009, but then remained virtually constant to date [].
Mining and pesticide usage in Mexico will be addressed in this section to explain this potentially non-fortuity relationship between respiratory neoplasm and lead emissions. These two economic activities have high figures in two of the states, both located in Northwestern Mexico, which showed the highest disease burden: Sinaloa (312.2 DALYs per 100,000) and Sonora (304.3 DALYs per 100,000).
The state of Sonora generates 85% of the national production of copper and it is the main producer of gold. Approximately 60% of the extracted minerals are destined for export and, in addition, this state has the highest percentage of foreign investment in mining activities. This state of Mexico is also the main producer of gold and has the highest percentage of foreign investment in mining activities, with 60% of its production destined for export [].
After the extraction and milling process, minerals of low economic value are placed on terraces within the mining site. The high suspension of fine dust particles (which may contain potentially toxic elements for humans and other living beings) in the air creates a hostile and toxic environment for workers and residents surrounding the mining site [].
Currently, one of the biggest problems in the Mexican territory is the indiscriminate and uncontrolled use of pesticides. The current usage of these compounds is approximately 2 million tons per year []. However, there is currently a lack of knowledge on the amount and types of pesticides (active ingredients) that are applied in the fields.
The information available regarding the volume and types of pesticides applied annually in agricultural fields and the degree of organic contamination with toxic products in water bodies is practically non-existent. Until 2021, the Mexican states with the highest agricultural production were Jalisco, Veracruz, Oaxaca, Chihuahua, and Sinaloa. Their main products are grasses (Jalisco and Oaxaca), sugar cane (Veracruz and Jalisco), oranges (Veracruz), corn (Sinaloa and Chihuahua), alfalfa (Chihuahua), and tomatoes (Sinaloa) []. The areas with the highest use of pesticides in agriculture or for sanitary purposes in 2000 were Sinaloa, Chiapas, Veracruz, Jalisco, Nayarit, Colima, Sonora, Baja California, and Tamaulipas. These states accounted for approximately 70% of the consumption of pesticides [].
The RETC, which served as the data source in our analysis, represents relevant progress in environmental health in Mexico. Access to environmental data must be guaranteed to increase awareness of environmental problems and promote effective public participation. This latter is fundamental to encouraging greater general understanding and support for environmental policies and enforcement [].
In Mexico, as in many other countries of the world, public environmental information is lacking, and there is no strong legal framework to obligate private and public sectors to provide information to the Environmental ministry. There are also complex issues that affect law enforcement in general, ranging from Mexico’s relatively new democratic regime (which does not always make environmental matters a priority) to inappropriate practices in administrative and judicial structures and, more recently, severe budget cuts and budgetary constraints [].
We also evaluated the prognostic value of the evaluated exposure (daily smoking prevalence and mean environmental exposure to lead dust) on respiratory cancers’ incidence rate (per 100,000) by using a multiple regression model. The prevalence of daily smokers ( β = 44.12, 95% CI 3.10–85.14; p = 0.036) was associated with the incidence rates (adjusted R2 = 0.25), but the association of mean environmental exposure to lead was not significant ( p = 0.142).
Finally, the potential limitations of our study must be cited. First, we used the mean environmental exposure to lead, and no biomarkers (i.e., blood levels in cancer patients) were not analyzed. Second, the statistical power of this study is limited by the relatively small cohort size and follow-up duration. Third, since we analyzed the general population, the levels of lead exposure are expected to be lower than those that would be found in occupationally exposed subjects. Fourth, the tumors of interest (tracheal, bronchial, and lung) are aggregated by the GBD study protocol, and we were unable to perform a stratified analysis. Fourth, our analysis is restricted to lead because, in other metals at RETC, the information was too limited to provide reliable estimates.

5. Conclusions

Our results suggest a linear relationship between the mean exposure to lead dust, the prevalence of daily smokers, and the burden of respiratory malignant tumors in Mexico. However, the limitations of our ecological approach must be considered in the interpretation of our findings. An observational study evaluating the analyzed association at an individual level would be highly useful from a public health and occupational perspective.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/toxics10110708/s1, Data S1. DALYs rate due to malignant respiratory tumors, the prevalence of daily smokers, and lead contamination in Mexico in 2019.

Author Contributions

Conceptualization, O.M.-C. and V.A.M.-O.; data curation, V.A.M.-O., V.B.-G., I.G.-C., N.A.P.-M. and A.L.-R.; formal analysis, E.M.-Z., X.T. and M.H.; investigation, E.M.-Z., Á.C.O.-M., V.B.-G., I.G.-C. and A.L.-R.; methodology, O.M.-C.; software, Á.C.O.-M., J.A.B.-B. and R.Y.P.-R.; supervision, X.T. and M.H.; validation, E.M.-Z., X.T., J.A.B.-B. and N.A.P.-M.; visualization, M.R.-S. and I.G.-C.; writing—original draft, O.M.-C.; writing—review and editing, V.A.M.-O., M.R.-S., I.G.-C., R.Y.P.-R. and A.L.-R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Publicly available datasets were analyzed in this study. These data can be found here: https://vizhub.healthdata.org/gbd-results/ (accessed on 21 October 2022), http://sinat.semarnat.gob.mx/retc/retc/index.php (accessed on 21 October 2022), and https://encuestas.insp.mx/repositorio/encuestas/ENCODAT2016/descargas.php (accessed on 21 October 2022).

Conflicts of Interest

The authors declare no conflict of interest.

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