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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2021.677851</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Household Air Pollution From Solid Cooking Fuel Combustion and Female Breast Cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Tanxin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Ru</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/905956/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zheng</surname> <given-names>Rongshou</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Liming</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Shengfeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1019153/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Mohiuddin Md. Taimur Khan, Washington State University Tri-Cities, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Behzad Heibati, University of Oulu, Finland; Keith Dana Thomsen, United States Department of Energy (DOE), United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Shengfeng Wang <email>shengfeng1984&#x00040;126.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Environmental health and Exposome, a section of the journal Frontiers in Public Health</p></fn></author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>677851</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>03</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Liu, Chen, Zheng, Li and Wang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Liu, Chen, Zheng, Li and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p><bold>Background:</bold> Women bear a large share of disease burden caused by household air pollution due to their great involvement in domestic activities. Pollutant emissions are believed to vary by exposure patterns such as cooking and space heating. Little is known about the independent effect of solid cooking fuel combustion on breast cancer risk. We aimed to examine the association of indoor coal and wood combustion for cooking with breast cancer risk.</p>
<p><bold>Methods:</bold> During June 2004&#x02013;July 2008, participants aged 30&#x02013;79 from 10 diverse regions across China were enrolled in the China Kadoorie Biobank. Primary cooking fuel use information in up to three residences was self-reported at baseline. Multivariable logistic regression models yielded adjusted odds ratios (ORs) and 95% confidence intervals (CIs).</p>
<p><bold>Results:</bold> A total of 290,396 female participants aged 30&#x02013;79 were included in the main analysis. Compared with long-term clean fuel users, the fully adjusted ORs were 2.07 (95%CI: 1.37&#x02013;3.13) for long-term coal users, 1.12 (95% CI: 0.72&#x02013;1.76) for long-term wood users, and 0.98 (95% CI: 0.55&#x02013;1.74) for those who used mixed solid fuels to cook. Those who had switched from solid to clean fuels did not have an excess risk of breast cancer (OR: 0.88, 95%CI 0.71&#x02013;1.10).</p>
<p><bold>Conclusion:</bold> Long-term solid fuel combustion for cooking may increase the risk of breast cancer. The strength of association is stronger among coal users than wood users. Targeted interventions are needed to accelerate the access to clean and affordable energy.</p></abstract>
<kwd-group>
<kwd>household air pollution</kwd>
<kwd>breast cancer</kwd>
<kwd>cooking fuel</kwd>
<kwd>indoor air pollution</kwd>
<kwd>solid fuel</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="8"/>
<word-count count="6485"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Household air pollution (HAP) causes immense disease burden throughout the world. Around 3.8 million people died prematurely from illness attributed to HAP (<xref ref-type="bibr" rid="B1">1</xref>). Globally, &#x0201C;by far the most important direct health risk is the pollution caused by incomplete combustion of solid fuels for cooking, heating and lighting&#x0201D; (<xref ref-type="bibr" rid="B2">2</xref>). The adverse impacts from HAP are largely caused by energy poverty, especially in rural regions of the low-and middle-income countries (LMICs) where some residents lack access to affordable, clean energy such as electricity, biogas and gas (<xref ref-type="bibr" rid="B3">3</xref>). Instead, they rely on solid fuel collected from agricultural residues, hauled from kilometers away, or purchased at a low price to meet daily energy demand (<xref ref-type="bibr" rid="B3">3</xref>). According to the World Health Organization (<xref ref-type="bibr" rid="B3">3</xref>), solid fuel includes coal as well as biomass fuels (referring to renewable plant-based material such as wood, crop wastes and charcoal), providing heat and light during the process of combustion (<xref ref-type="bibr" rid="B4">4</xref>). Incomplete combustion of solid fuels produces high levels of HAP with a range of harmful pollutants, including particulate matter, sulfur oxides, nitrogen oxides, carbon monoxide, polycyclic aromatic hydrocarbons, formaldehyde, and dioxins, to name a few (<xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>). In contrast, clean fuel mainly includes &#x0201C;electricity, liquefied petroleum gas (LPG), piped natural gas (PNG), biogas, solar and alcohol fuels&#x0201D;, which produces low levels of emissions of particulate matter, sulfur dioxide and other by-products of incomplete combustion when properly used (<xref ref-type="bibr" rid="B9">9</xref>). Although the past few years have witnessed a surge in technological innovation in the household energy sector, progress remains too slow to displace the polluting fuel combustion systems and thereby mitigate their health impacts. Based on the most recent global estimates, more than 2.7 billion people heavily relied on domestic solid fuels in 2015, including 450 million people in China (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Household air pollution from solid cooking fuel (notably coal and wood) has been categorized as a Group 2A carcinogen (<xref ref-type="bibr" rid="B11">11</xref>). Special attention should be placed to females who spend considerable amount of time in proximity to polluting sources due to their great involvement in daily cooking activity (<xref ref-type="bibr" rid="B4">4</xref>). Ambient air pollutants (e.g., particulate matter, polycyclic aromatic hydrocarbons) may cause tumor formation in breast and cervix uteri (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B14">14</xref>). Evidence for the relationship with household air pollutants remains scarce. Three previous studies have examined the indoor solid fuel combustion as a risk factor for breast cancer and yielded inconsistent result (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>). Previous studies on this topic have mainly conducted in high-income countries and focused on wood burning (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). However, in some coal-producing countries such as China and India, coal is considered as a domestic source of energy (<xref ref-type="bibr" rid="B11">11</xref>). There is a paucity of studies on the potential impact from indoor coal combustion for cooking. Furthermore, HAP from cooking and space heating are two different exposure patterns, which may have different influences on carcinogenesis. A stove might be kept going all day for heating in winter months (<xref ref-type="bibr" rid="B3">3</xref>). By contrast, cooking produces HAP several times per day with a shorter period (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Field measurement reported significantly lower emissions of pollutants from domestic solid fuel combustion during heating compared to those from cooking (<xref ref-type="bibr" rid="B19">19</xref>). Epidemiological evidence on HAP exposure from cooking and heating reported different associations with lung cancer (<xref ref-type="bibr" rid="B20">20</xref>). One previous CKB study on HAP from heating fuel use and breast cancer mortality did not find any evident relationship with breast cancer mortality (<xref ref-type="bibr" rid="B17">17</xref>). Little is known about the independent effect of cooking fuel use on female breast cancer risk. This study reported findings on the solid cooking fuel combustion with breast cancer risk among 290,396 females.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study Population</title>
<p>We used the baseline data from China Kadoorie Biobank (CKB) (<xref ref-type="bibr" rid="B21">21</xref>). It was initially set up to recruit 500,000 permanent residents aged 35&#x02013;74 years without a known disability in five rural and five urban regions (100,000 for each region) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). From June 2004 to July 2008, 512,891 participants aged 30&#x02013;79 years (302,510 females, 59.0%) completed the baseline survey. To encourage participation, we included 10,715 participants whose age was slightly outside the target range, resulting in the baseline age range 30&#x02013;79 years. In 2008, &#x0007E;4% of participants were randomly selected to attend the resurvey with repeated interviews. Details of this biobank have been described elsewhere (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Registered participants went to the local assessment stations after signing the informed consent. Trained health staffs conducted a computer-assisted interview with participants to collect a set of information, including demographics, lifestyle behaviors, and medical history via a standard electronic questionnaire. All participants also underwent physical measurements and a 10 ml blood sample collection. Ethical approval of CKB was obtained from the Ethical Review Committee of the Chinese Center for Disease Control and Prevention and the Oxford Tropical Research Ethics Committee.</p>
</sec>
<sec>
<title>Assessment of Exposure and Outcome</title>
<p>Participants were asked to recall their cooking frequency, type of cooking fuels and ownership of ventilated stoves for up to three most recent residences (each lived at least 1 year), and duration (in years) in each residence. Participants were asked, &#x0201C;In your present &#x00026; two previous houses, how often did you cook at home?&#x0201D; Participants chose from the options of daily, weekly, monthly, rarely/never, no cooking facility (<xref ref-type="bibr" rid="B23">23</xref>). For those who cooked at least monthly, we further asked their primary cooking fuel which they used most frequently at each residence (coal, wood, gas, electricity, other unspecified). Solid fuels included coal and wood, whereas clean fuels included gas and electricity. Participants who reported having cooking facilities were asked the presence of chimney or extractor related to cooking stove(s) used (<xref ref-type="bibr" rid="B23">23</xref>). Participants cooking daily or weekly were considered as cooking regularly (<xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). Long-term exposure pattern was examined by classifying participants who cooked regularly into three groups: those who always used the same fuel in all residences (always solid, always clean), and those who used solid fuels in previous residence(s) and then used clean fuels in the present residence. Participants who always used solid fuels were further divided into three groups (always wood, always coal, a mixture of coal and wood). All participants were asked if a doctor told them that they had had cancers and the site of cancers. If participants suffered from more than one cancer, the one that occurred first was recorded. The cancer status was also confirmed by the hospital admission in the resurvey. We considered breast cancer (ICD-10: C50.42) as our primary outcome.</p>
</sec>
<sec>
<title>Covariates</title>
<p>Covariates of potential interest comprised of demographic characteristics, lifestyle factors, household air pollution, reproductive history and family history, which were selected based on previous literature on this topic (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B26">26</xref>). The demographic variables included age (continuous variable), study region (urban, rural), education (no education, primary school, middle school, high school and above), occupation (unemployed/retired, agricultural worker, factory worker, non-manual worker), annual family income (&#x0003C;10,000, 10,000&#x02013;34,999, &#x02265;35,000 yuan), marital status (married, never married/widowed/separated/divorced). Lifestyle and HAP variables included current smoking status (not smoke/occasionally, daily/on most days), alcohol drinking (never/rarely, occasionally/at certain season, monthly/weekly), body mass index (BMI) (continuous variable), environmental tobacco smoke exposure (ETS) (never/occasionally, 1&#x02013;5 days a week, daily) and ownership of stove ventilation (all stoves, not all, none). Reproductive history included age at menopause (premenopausal, menopause age &#x0003C;50, menopause age &#x02265;50), parity (0, 1, 2, &#x02265;3), use of oral contraceptive pills (never, ever). We included physical activity levels (metabolic equivalent of task, hours/day), family history of cancer (presence or absence) and consumption of preserved vegetables (daily/4&#x02013;6 days per week, 1&#x02013;3 days per week, monthly, never/rarely) in our sensitivity analysis.</p>
</sec>
<sec>
<title>Statistical Analyses</title>
<p>We restricted our analyses to females (<italic>n</italic> = 302,510) and excluded 2,238 participants who did not report cooking information at three residences or used other unspecified fuels, leaving 300,272 for baseline characteristics estimation. We further excluded participants who did not cook regularly at three residences (<italic>n</italic> = 8,839, 2.9%) and those with fluctuating exposure condition (using clean fuel at the first residence, solid fuel at the second residence and clean fuel again at the third residence) (<italic>n</italic> = 1,037, 0.03%). Finally, a total of 290,396 participants were included in the main analyses.</p>
<p>Adjusted values of baseline characteristics by cooking fuel category were presented, with adjustment for age and region where appropriate. We adopted multivariable logistic regressions to estimate odds ratios (ORs) of breast cancer. Model 1 was adjusted for age and study region (<xref ref-type="bibr" rid="B18">18</xref>). Model 2 adjustment included all demographic variables (age, study region, education, occupation, annual family income, marital status) and lifestyle variables (smoking, alcohol consumption, BMI, ETS, and ownership of stove ventilation) (<xref ref-type="bibr" rid="B15">15</xref>). Model 3 adjustment included all above variables and reproductive history (age at menopause, parity, contraceptive use) (<xref ref-type="bibr" rid="B15">15</xref>). We considered clean fuel group as our reference (defined as using gas and/or electricity in all recalled residences) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>). We also calculated the duration of solid fuel exposure during the recall period by summing the number of years at three residences where solid fuel (coal or wood) was reported as the primary cooking fuel. Duration of exposure was classified into three groups: never, duration &#x0003C;25, duration &#x02265;25. Linear trend was tested by modeling a continuous variable that was assigned the median year of duration for each participants&#x00027; exposure category (<xref ref-type="bibr" rid="B27">27</xref>). Considering the biology of female breast cancer and HAP, we stratified the analysis by environmental tobacco smoke exposure, menopause status and contraceptive use, controlling for the same set of covariates as appropriate. The tests for interaction were performed using likelihood ratio test comparing models with and without the cross-product term.</p>
<p>Several sensitivity analyses were further performed. First, we additionally adjusted for potential covariates, including physical activity, family history of cancer and consumption of preserved vegetables. Second, we excluded participants who smoked daily/on most days; those who were exposed to environmental tobacco smoke daily or almost every day; those who were nulliparous; those who had ever used oral contraceptive pills. Third, we selected the lag period of 5 years and 10 years, discounting the exposure during this period. Finally, we explored the association of HAP from solid cooking fuel use with breast cancer mortality, using time in study as the time scale. All analyses were performed using Stata software 15.1 (StataCorp, TX, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Of the 300,272 females [mean (SD) age 51.46 (10.48) years], 51.1 % always used solid cooking fuel and 18.0% always used clean fuel in all residences. Females who always used solid fuels tended to be older, more likely to live in rural region, less educated, more exposed to passive smoking, less likely to use oral contraceptive pills and had lower household income in comparison with clean fuel users (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline characteristics by cooking fuel use (<italic>n</italic> = 300,272<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref>).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="4"><bold>Cooking fuel exposure</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>Solid fuel</bold></th>
<th valign="top" align="center"><bold>Clean fuel</bold></th>
<th valign="top" align="center"><bold>Solid to clean fuel<sup><bold>b</bold></sup></bold></th>
<th valign="top" align="center"><bold>No cooking</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">No. of participants, <italic>n</italic> (%)</td>
<td valign="top" align="center">152802 (51.1)</td>
<td valign="top" align="center">53875 (18.0)</td>
<td valign="top" align="center">83719 (27.9)</td>
<td valign="top" align="center">8839 (3.0)</td>
</tr>
<tr>
<td valign="top" align="left">Age at baseline (y)</td>
<td valign="top" align="center">53.0</td>
<td valign="top" align="center">46.2</td>
<td valign="top" align="center">52.8</td>
<td valign="top" align="center">45.5</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">23.5</td>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center">24.3</td>
<td valign="top" align="center">24.4</td>
</tr>
<tr>
<td valign="top" align="left">Physical activity (MET-h/d)</td>
<td valign="top" align="center">20.3</td>
<td valign="top" align="center">19.4</td>
<td valign="top" align="center">21.0</td>
<td valign="top" align="center">23.4</td>
</tr>
<tr>
<td valign="top" align="left">Rural (%)</td>
<td valign="top" align="center">91.4</td>
<td valign="top" align="center">10.2</td>
<td valign="top" align="center">20.8</td>
<td valign="top" align="center">46.5</td>
</tr>
<tr>
<td valign="top" align="left">Married (%)</td>
<td valign="top" align="center">89.3</td>
<td valign="top" align="center">87.1</td>
<td valign="top" align="center">89.4</td>
<td valign="top" align="center">88.7</td>
</tr>
<tr>
<td valign="top" align="left">Primary school and lower (%)</td>
<td valign="top" align="center">6.8</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">5.6</td>
<td valign="top" align="center">5.5</td>
</tr>
<tr>
<td valign="top" align="left">Income &#x0003C;10,000 (Yuan<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref>/y) (%)</td>
<td valign="top" align="center">41.0</td>
<td valign="top" align="center">11.7</td>
<td valign="top" align="center">18.8</td>
<td valign="top" align="center">8.4</td>
</tr>
<tr>
<td valign="top" align="left">No occupation (%)</td>
<td valign="top" align="center">22.6</td>
<td valign="top" align="center">39.7</td>
<td valign="top" align="center">40.6</td>
<td valign="top" align="center">21.2</td>
</tr>
<tr>
<td valign="top" align="left">Tobacco smoking<xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref> (%)</td>
<td valign="top" align="center">3.9</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">4.6</td>
<td valign="top" align="center">4.5</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol drinking<xref ref-type="table-fn" rid="TN5"><sup>e</sup></xref> (%)</td>
<td valign="top" align="center">1.7</td>
<td valign="top" align="center">2.9</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">3.1</td>
</tr>
<tr>
<td valign="top" align="left">Family history of cancer (%)</td>
<td valign="top" align="center">16.2</td>
<td valign="top" align="center">16.9</td>
<td valign="top" align="center">17.8</td>
<td valign="top" align="center">16.1</td>
</tr>
<tr>
<td valign="top" align="left">Passive smoking<xref ref-type="table-fn" rid="TN6"><sup>f</sup></xref> (%)</td>
<td valign="top" align="center">87.1</td>
<td valign="top" align="center">74.9</td>
<td valign="top" align="center">83.9</td>
<td valign="top" align="center">75.3</td>
</tr>
<tr>
<td valign="top" align="left">Good ventilation<xref ref-type="table-fn" rid="TN7"><sup>g</sup></xref> (%)</td>
<td valign="top" align="center">11.7</td>
<td valign="top" align="center">27.2</td>
<td valign="top" align="center">8.2</td>
<td valign="top" align="center">15.5</td>
</tr>
<tr>
<td valign="top" align="left">Postmenopause<xref ref-type="table-fn" rid="TN8"><sup>h</sup></xref> (%)</td>
<td valign="top" align="center">82.9</td>
<td valign="top" align="center">78.8</td>
<td valign="top" align="center">82.6</td>
<td valign="top" align="center">78.5</td>
</tr>
<tr>
<td valign="top" align="left">Having live birth (%)</td>
<td valign="top" align="center">98.8</td>
<td valign="top" align="center">98.5</td>
<td valign="top" align="center">99.1</td>
<td valign="top" align="center">97.1</td>
</tr>
<tr>
<td valign="top" align="left">Contraceptive use<xref ref-type="table-fn" rid="TN8"><sup>h</sup></xref> (%)</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">12.6</td>
<td valign="top" align="center">16.6</td>
<td valign="top" align="center">20.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>We used linear models (for continuous variables) or logistic models (for categorical variables) to estimate predicted probabilities adjusted for age and region as appropriate</italic>.</p>
<p><italic>BMI, body mass index; MET-h/d, metabolic equivalent task-hours per day</italic>.</p>
<fn id="TN1">
<label>a</label>
<p><italic>Participants were classified as clean or solid fuel users if they reported only using clean or solid fuel as primary cooking fuel at all three residences. The no cooking group included people who did not cook, or rarely cooked, or did not have cooking facility at three residences. Few participants reported fluctuating exposure condition (using clean fuel at first residence, solid fuel at second residence, and then clean fuel again at the third residence) (n = 1,037, 0.3%), thus this group were not presented</italic>.</p></fn>
<fn id="TN2">
<label>b</label>
<p><italic>&#x0201C;Solid to clean fuel&#x0201D; exposure was defined as using solid fuel (coal, wood) as the primary cooking fuel at previous residences and then used clean fuel at the current residence</italic>.</p></fn>
<fn id="TN3">
<label>c</label>
<p><italic>10,000 Yuan = 1412.6688 US dollar</italic>.</p></fn>
<fn id="TN4">
<label>d</label>
<p><italic>Tobacco smoking was defined as smoking tobacco daily or on most days</italic>.</p></fn>
<fn id="TN5">
<label>e</label>
<p><italic>Alcohol drinking was defined as drinking any alcohol usually at least once a week</italic>.</p></fn>
<fn id="TN6">
<label>f</label>
<p><italic>Passive smoking was defined as ever lived with smoker in the same house for at least 6 months</italic>.</p></fn>
<fn id="TN7">
<label>g</label>
<p><italic>Good ventilation was defined as all stoves for cooking with a chimney or extractor, or had no stoves at three residences</italic>.</p></fn>
<fn id="TN8">
<label>h</label>
<p><italic>Variables had forty-three missing values</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>We documented 551 participants diagnosed with breast cancer. Compared with long-term clean cooking fuel use, long-term coal combustion was associated with a higher risk of breast cancer (fully adjusted OR:2.07, 95%CI: 1.37&#x02013;3.13) (<xref ref-type="table" rid="T2">Table 2</xref>). Fully adjusted ORs of breast cancer were 1.12 (95%CI: 0.72&#x02013;1.76) for those who always used wood, and 0.98 (95% CI: 0.55&#x02013;1.74) for those who used mixed solid fuels to cook [mean duration of exposure: 16 years]. Long-term solid cooking fuel combustion [mean duration of exposure: 30 years] appeared to confer a higher risk of breast cancer, albeit not significant (fully adjusted OR,1.19 (95%CI: 0.84&#x02013;1.67). There was no elevated cancer risk among women who had switched into clean fuels [mean duration of exposure: 18 years]. No evident relationship was observed between solid fuel use and breast cancer risk.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Association of cooking fuel use with breast cancer risk among 290,396 participants<xref ref-type="table-fn" rid="TN9"><sup>a</sup></xref>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>No. of participants at baseline, <italic>n</italic></bold></th>
<th valign="top" align="center"><bold>Cases, <italic>n</italic></bold></th>
<th valign="top" align="center"><bold>Model 1</bold></th>
<th valign="top" align="center"><bold>Model 2</bold></th>
<th valign="top" align="center"><bold>Model 3</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Pattern of fuel use</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Always clean fuel (reference)</td>
<td valign="top" align="center">53875</td>
<td valign="top" align="center">148</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">ref</td>
</tr>
<tr>
<td valign="top" align="left">Solid to clean fuel</td>
<td valign="top" align="center">83719</td>
<td valign="top" align="center">243</td>
<td valign="top" align="center">0.92 (0.74&#x02013;1.14)</td>
<td valign="top" align="center">0.98 (0.79&#x02013;1.22)</td>
<td valign="top" align="center">0.88 (0.71&#x02013;1.10)</td>
</tr>
<tr>
<td valign="top" align="left">Always solid fuel</td>
<td valign="top" align="center">152802</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">0.80 (0.59&#x02013;1.07)</td>
<td valign="top" align="center">1.19 (0.86&#x02013;1.66)</td>
<td valign="top" align="center">1.19 (0.84&#x02013;1.67)</td>
</tr>
<tr>
<td valign="top" align="left">Solid cooking fuel type<xref ref-type="table-fn" rid="TN10"><sup>b</sup></xref></td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Always coal</td>
<td valign="top" align="center">56835</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">1.48 (1.01&#x02013;2.17)</td>
<td valign="top" align="center">1.81 (1.22&#x02013;2.67)</td>
<td valign="top" align="center">2.07 (1.37&#x02013;3.13)</td>
</tr>
<tr>
<td valign="top" align="left">Always wood</td>
<td valign="top" align="center">65956</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">0.60 (0.42&#x02013;0.87)</td>
<td valign="top" align="center">1.12 (0.72&#x02013;1.74)</td>
<td valign="top" align="center">1.12 (0.72&#x02013;1.76)</td>
</tr>
<tr>
<td valign="top" align="left">A mixture of coal and wood</td>
<td valign="top" align="center">30011</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">0.69 (0.40&#x02013;1.19)</td>
<td valign="top" align="center">0.94 (0.53&#x02013;1.65)</td>
<td valign="top" align="center">0.98 (0.55&#x02013;1.74)</td>
</tr>
<tr>
<td valign="top" align="left">Duration of solid fuel exposure (y)<xref ref-type="table-fn" rid="TN11"><sup><bold>c</bold></sup></xref></td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Never<xref ref-type="table-fn" rid="TN12"><sup>d</sup></xref></td>
<td valign="top" align="center">53875</td>
<td valign="top" align="center">148</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">ref</td>
</tr>
<tr>
<td valign="top" align="left">Duration &#x0003C;25</td>
<td valign="top" align="center">115971</td>
<td valign="top" align="center">252</td>
<td valign="top" align="center">1.01 (0.82&#x02013;1.25)</td>
<td valign="top" align="center">1.07 (0.87&#x02013;1.33)</td>
<td valign="top" align="center">1.02 (0.82&#x02013;1.27)</td>
</tr>
<tr>
<td valign="top" align="left">Duration &#x02265;25</td>
<td valign="top" align="center">120550</td>
<td valign="top" align="center">151</td>
<td valign="top" align="center">0.65 (0.50&#x02013;0.85)</td>
<td valign="top" align="center">0.82 (0.63&#x02013;1.08)</td>
<td valign="top" align="center">0.78 (0.59&#x02013;1.03)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic> for trend</td>
<td/>
<td/>
<td valign="top" align="center">0.0013</td>
<td valign="top" align="center">0.1561</td>
<td valign="top" align="center">0.0849</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Model 1 was adjusted for age and region. Model 2 was additionally adjusted for education, occupation, marital status, household income, body mass index (BMI), smoking status and alcohol consumption, environmental tobacco smoke and stoves with ventilation. Model 3 was further adjusted for age at menopause, parity and use of oral contraceptive pills</italic>.</p>
<p><italic>OR, odds ratio; CI, confidence interval</italic>.</p>
<fn id="TN9">
<label>a</label>
<p><italic>Few people did not cook at three residences (n = 8,839, 2.9 %) or had switched from solid to clean fuels (n = 1,037, 0.3%), thus were excluded from the models. Clean fuel group was considered as common reference group</italic>.</p></fn>
<fn id="TN10">
<label>b</label>
<p><italic>Solid fuel group did not include those who had switched from solid to clean fuels (n = 83,719)</italic>.</p></fn>
<fn id="TN11">
<label>c</label>
<p><italic>Duration was calculated by summing the number of years in each residence where solid fuel (coal, wood) were reported as the primary cooking fuel</italic>.</p></fn>
<fn id="TN12">
<label>d</label>
<p><italic>The never group included those who used clean fuel at three residences</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>There was no statistical effect measure modification by environmental tobacco smoking (ETS), cooking stove ventilation, menopausal status or contraceptive use (<xref ref-type="fig" rid="F1">Figure 1</xref>). The strength of observed associations remained largely unchanged after excluding the mixed fuel users. The adjusted OR was somewhat stronger in females with daily ETS exposure (OR: 3.26, 95% CI: 1.83&#x02013;5.81) than in those who got exposed to ETS 1&#x02013;5 days per week (OR 0.98, 95% CI: 0.38&#x02013;2.48) and in those who never/occasionally got exposed to ETS (OR 0.73, 95%CI: 0.38&#x02013;1.38).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Adjusted ORs of breast cancer associated with long-term solid fuel use. Participants who had switched from solid to clean fuels or used a mixture of coal and wood were excluded. OR, odds ratio. CI, confidence interval.</p></caption>
<graphic xlink:href="fpubh-09-677851-g0001.tif"/>
</fig>
<p>In the sensitivity analyses, the association of solid fuel exposure and breast cancer risk was unaltered after adjusting for potential confounders and excluding regular smokers, nulliparous women and those who had ever used oral contraceptive drugs (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). When 5-year or 10-year lag period was adopted, the strength of observed associations of two cancers appeared to be increased among long-term wood users and overall long-term solid fuel users, yielding significant results (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 2, 3</xref>). We did not observe excess risk of breast cancer mortality, probably due to insufficient number of deaths (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>).</p>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this study, we observed inconsistent associations of solid cooking fuel exposure with breast cancer risk. The adjusted ORs of breast cancer were not statistically significant among persistent solid fuel users in general (OR: 1.19, 0.84&#x02013;1.67). In line with our finding, a case-control study of women on Long Island demonstrated no increased risk of breast cancer incidence in females who frequently burned wood in their home (<xref ref-type="bibr" rid="B16">16</xref>). However, when stratifying by type of solid fuel use, we observed a higher risk of breast cancer in persistent coal users (OR 2.07, 2.37&#x02013;3.13) but not in persistent wood users. Apart from that, a prospective cohort study in the United States or Puerto Rico suggested that having indoor wood-burning stove/fireplace appeared to confer higher breast cancer risk (HR=1.11, 95%CI: 1.01&#x02013;1.22) (<xref ref-type="bibr" rid="B15">15</xref>). Reports are inconsistent on which type of wood (synthetic or wood logs) can produce more polycyclic aromatic hydrocarbon (PAH) during domestic combustion (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Previous association studies and risk assessment mainly focused on household wood combustion. The present study examined both wood and coal exposure and yielded inconsistent associations with breast cancer. Further prospective evidence is needed to elucidate the relationship of individual and combined effect of wood and coal exposure with breast cancer risk. Moreover, previous CKB study on heating fuel use did not observe excess risk of breast cancer mortality in any solid fuel groups (<xref ref-type="bibr" rid="B10">10</xref>). In contrast, this study focused on cooking fuel use and firstly suggested a positive association of long-term coal combustion for cooking with breast cancer risk. The strength of association remained largely unchanged in sensitivity analyses (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 1&#x02013;3</xref>). A possible explanation is that solid fuel combustion for cooking has a longer lifetime duration and thus provides higher cumulative inhaled pollutants compared to solid fuel combustion for heating (<xref ref-type="bibr" rid="B18">18</xref>). HAP from heating is a seasonal exposure during winter months while HAP from cooking is a regular exposure in this study since we included long-term solid fuel users who cooked daily or weekly in each residence lived at least 1 year. Differences in study design and covariates adjustment may also lead to different findings in two CKB studies. The association of HAP from different domestic activities (e.g., cooking and heating) with breast cancer risk needs future research to elucidate.</p>
<p>We observed no elevated breast cancer risk among women who had ceased using solid fuels. The point estimate of risk was lower in those who had switched from solid to clean fuels than long-term solid fuel users [OR]. Those who had ceased using solid fuels may get less exposed to solid fuel burning than long-term solid fuel users [duration in years: median (IQR): 16 (9&#x02013;25) vs. 30 (21&#x02013;41)]. Previous CKB study has demonstrated that the excess risk of all-cause mortality decreased by more than 60% in 5 years after cessation of indoor solid fuel burning (<xref ref-type="bibr" rid="B29">29</xref>). The present study further reported the health impact of cession from solid fuels on breast cancer risk. On the global basis, females bear a large share of disease burden caused by HAP due to their domestic roles (<xref ref-type="bibr" rid="B3">3</xref>). Our findings may have unique implications on females and suggest the reduction of solid fuel use for cooking. Targeted efforts are needed to accelerate the promotion of clean fuel production facilities and distribution networks.</p>
<p>The association between household air pollution and breast cancer is biologically plausible. Incomplete combustion of solid fuels releases many pollutants to the indoor and outdoor air, such as carbon monoxide, particulate matter, carcinogenic polycyclic aromatic hydrocarbons (PAHs) (<xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>). Of all these pollutants, PAHs have been widely investigated and classified as carcinogenic to humans (IARC Group1) (<xref ref-type="bibr" rid="B30">30</xref>). About 60.5% of the global total PAH emissions were from combustion of biomass fuels including wood and crop residues (<xref ref-type="bibr" rid="B31">31</xref>). In China, coal and biomass fuel combustion are two major emission activates of PAHs, accounting for roughly 20 and 60%, respectively (<xref ref-type="bibr" rid="B32">32</xref>). The field measurements showed that the total emission factors (EFs) of 28 PAHs from solid fuel combustion during a regular cooking period ranged from 20.7 to 535 mg/kg (<xref ref-type="bibr" rid="B33">33</xref>). EFs of PAHs varied from several mg/kg for wood fuels to about 200mg/kg for bituminous coal, a dirty fuel burned in domestic stoves in rural China due to low cost (<xref ref-type="bibr" rid="B34">34</xref>). Different emission profiles between coal and biomass combustion were also observed for predominant individual PAHs including benzo[a]pyrene(BaP), pyrene (PYR), perylene (PER), Benzo[e]pyrene(BeP) and dibenzo[a,l]pyrene (DBalP) (<xref ref-type="bibr" rid="B33">33</xref>). Experimental evidence has confirmed that PAH metabolites can react with DNA and form PAH-DNA adducts, which leads to mutations of cancer related-genes and cell death (<xref ref-type="bibr" rid="B35">35</xref>&#x02013;<xref ref-type="bibr" rid="B37">37</xref>). Potential carcinogenic pathways include sister chromatid exchange, mutations in TP53 as well as DNA methylation (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). BaP, a marker of carcinogenic potency of PAH mixture and an endocrine-disrupting pollutant, was associated with increased risk of breast cancer in a French cohort (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>Persistent coal users had a higher risk of breast cancer than persistent wood users. We cannot directly compare our estimate for coal exposure with prior studies. To our knowledge, this is the first study which reports the association of breast cancer with coal combustion for cooking. Our results should be interpreted with caution due to relatively small number of cases. Given the sample sizes in the subgroups, we have sufficient power for coal combustion analysis (approximately 100%) but not for wood combustion (&#x0003C;50%). Although the play of chance cannot be ruled out, our analysis may suggest that pollutants from coal combustion could have more hazardous effect on breast cancer development than those from wood combustion. Different fuel properties and environmental condition contributes to the different formation and changes of trace organics emitted from combustion which may have adverse effects on breast carcinogenesis (<xref ref-type="bibr" rid="B41">41</xref>). Results from a previous field emission test study revealed that there was a statistically positive relationship between PAH derivatives and corresponding parent PAHs in emissions from coal combustion, but insignificant relationships for those from wood burning (<xref ref-type="bibr" rid="B41">41</xref>). PAHs exposure could be ubiquitous and concurrent multiple indoor sources of PAHs were associated with a 30&#x02013;50% increase in breast cancer risk (<xref ref-type="bibr" rid="B28">28</xref>). Similarly, PAH profiles from inhalation and digestion could be modifiable risk factors (<xref ref-type="bibr" rid="B28">28</xref>). Further studies are warranted to monitor the multiple sources of PAH emissions between coal and wood combustion for cooking and elucidate their association with breast cancer.</p>
<p>The chief strengths of this study include the large number of cooking fuel users (in particular for coal users), geographical diversity and completeness of data collection. Moreover, to discount the exposure that is thought irrelevant to the outcome, we conducted sensitivity analyses and selected 5-year or 10-year lag period. Our study has several limitations as well. First, the cross-sectional design of this study precludes a causal inference between solid fuel exposure and risk of breast cancer. Further prospective studies are needed to confirm the causal relationship. Second, like other CKB studies, recall-bias is possible because of the self-reported nature of the baseline survey. Nevertheless, about 78% of the participants in the resurvey reported the same type of cooking fuel as in the baseline survey, and the kappa value for cooking information was acceptable (0.6) (<xref ref-type="bibr" rid="B42">42</xref>). The physician-diagnosed cancer history was also confirmed by hospital admission information in the resurvey. Third, although self-reported primary cooking fuel has been adopted as a practical proxy of HAP in many studies, it remains an inherently limited indicator (<xref ref-type="bibr" rid="B3">3</xref>). It is possible that secondary fuel exposure and pollutants from neighborhood also contribute to the HAP. Primary fuel use represents a compromise which balances imperative of capturing detailed information on HAP with the pragmatic considerations such as feasibility of conducting surveys and eliciting reliable information from participants. Fourth, we did not account for ambient air pollution that might contribute to breast cancer risk. Since CKB public database did not disclose home address due to privacy protection, GIS method (grid-based method) cannot be used to locate and control for ambient air pollutants. However, CKB disclosed the province where study participants were resided in, and in each province the study participants were all located in the same community or village. Although we could not obtain ambient air pollution data, we adjusted for study region in all models and assumed a similar pattern of ambient air pollution exposure from the same region (<xref ref-type="bibr" rid="B29">29</xref>). We expected this strategy could somehow account for residual confounding from ambient air pollution (<xref ref-type="bibr" rid="B29">29</xref>). Finally, CKB project does not include histotype or genetic information.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Household air pollution from solid cooking fuel combustion may elevate the risk of female breast cancer. The strength of the association is higher in long-term coal users than in long-term wood users. This study may have global implications as many countries are in the transition to clean energy. Efforts to disseminate clean and affordable alternatives (electricity and gas) are gaining momentum in LMICs (<xref ref-type="bibr" rid="B3">3</xref>). Adoption of sustainable clean energy solutions hinges on improved understanding of gender dynamics of household energy use and sex-specific health impacts (<xref ref-type="bibr" rid="B3">3</xref>). Gender-responsive interventions which taking into account the gender roles in household energy acquisition and uses are required. More evidence on health impacts on females is needed for implementation of policies to promote health, as females are often the primary cooking fuel users and the ones who benefit most from transition to clean cooking fuels (<xref ref-type="bibr" rid="B3">3</xref>).</p>
</sec>
<sec sec-type="data-availability-statement" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethical Review Committee of the Chinese Center for Disease Control and Prevention and the Oxford Tropical Research Ethics Committee. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>TL and SW designed the study. SW acquired the data. TL analyzed and drafted the manuscript. All authors contributed to the interpretation of data and revised the article. All authors read and approved the final article.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec> </body>
<back>
<ack><p>We thank Chinese Center for Disease Control and Prevention, Chinese Ministry of Health, National Health and Family Planning Commission of China, and 10 provincial/regional Health Administrative Departments. The most important acknowledgment is to the participants in the study and the members of the survey teams in each of the 10 regional centers, as well as to the project development and management teams based at Beijing, Oxford and the 10 regional centers.</p>
</ack>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2021.677851/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpubh.2021.677851/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>HAP</term>
<def><p>household air pollution</p></def></def-item>
<def-item><term>PAHs</term>
<def><p>Polycyclic aromatic hydrocarbons</p></def></def-item>
<def-item><term>95%CI</term>
<def><p>confidence interval</p></def></def-item>
<def-item><term>HRs</term>
<def><p>hazard ratios</p></def></def-item>
<def-item><term>IQR</term>
<def><p>interquartile range</p></def></def-item>
<def-item><term>SD</term>
<def><p>standard deviation.</p></def></def-item>
</def-list>
</glossary>
<fn-group>
<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> The CKB baseline survey and first resurvey was supported by grants (2016YFC0900500, 2016YFC0900501, and 2016YFC0900504) from the National Key Research and Development Program of China, grants from the Kadoorie Charitable Foundation in Hong Kong and grants (088158/Z/09/Z, 104085/Z/14/Z, and 104085/Z/14/Z) from Wellcome Trust in the UK. The funders had no role in the study design, data collection, data analysis and interpretation, writing of the report or decision to submit the article for publication. The present study was supported by the National Natural Science Foundation (Grant No. 81502884) and the National Key Research and Development Program of China [2018YFC1311704].</p>
</fn>
</fn-group>
</back>
</article>