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<article xml:lang="en" article-type="research-article" dtd-version="1.4"><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-ta">Indian J Med Res</journal-id><journal-id journal-id-type="iso-abbrev">Indian J Med Res</journal-id><journal-id journal-id-type="pmc-domain-id">1431</journal-id><journal-id journal-id-type="pmc-domain">ijmedres</journal-id><journal-id journal-id-type="nlm-id">0374701</journal-id><journal-id journal-id-type="publisher-id">IJMR</journal-id><journal-title-group><journal-title>The Indian Journal of Medical Research</journal-title></journal-title-group><issn pub-type="ppub">0971-5916</issn><?publisher_abbrev scischolar?><publisher><publisher-name>Scientific Scholar</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmcid">PMC11463852</article-id><article-id pub-id-type="pmcid-ver">PMC11463852.1</article-id><article-id pub-id-type="pmcaid">11463852</article-id><article-id pub-id-type="pmcaiid">11463852</article-id><article-id pub-id-type="pmid">39382493</article-id><article-id pub-id-type="doi">10.25259/ijmr_2407_23</article-id><article-id pub-id-type="publisher-id">10.25259/ijmr_2407_23</article-id><article-version article-version-type="pmc-version">1</article-version><article-categories><subj-group subj-group-type="heading"><subject>Practice</subject></subj-group><subj-group subj-group-type="heading"><subject>Original Article</subject></subj-group></article-categories><title-group><article-title>High prevalence of alcohol use disorder &amp; psychiatric comorbidity among coal mine workers: Observations from a cross-sectional study in West Bengal</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Chakrabarti</surname><given-names initials="A">Amit</given-names></name><xref rid="aff1" ref-type="aff">1</xref><xref rid="cor1" ref-type="corresp"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Saha</surname><given-names initials="I">Indranil</given-names></name><xref rid="aff1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Kalita</surname><given-names initials="M">Manoj</given-names></name><xref rid="aff1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Bhattacharya</surname><given-names initials="D">Debangana</given-names></name><xref rid="aff1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Haque</surname><given-names initials="B">Bidisha</given-names></name><xref rid="aff1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Nagraj</surname><given-names initials="A">Alisha</given-names></name><xref rid="aff1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Mukherjee</surname><given-names initials="S">Sovonlal</given-names></name><xref rid="aff1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Benegal</surname><given-names initials="V">Vivek</given-names></name><xref rid="aff2" ref-type="aff">2</xref></contrib><aff id="aff1"><label>1</label><institution>ICMR-Centre for Ageing &amp; Mental Health (ICMR-CAMH)</institution>, <addr-line>Kolkata</addr-line>, <country>India</country></aff><aff id="aff2"><label>2</label><institution>National Institute of Mental Health &amp; Neurosciences (NIMHANS)</institution>, <addr-line>Bengaluru</addr-line>, <country>India</country></aff></contrib-group><author-notes><corresp id="cor1"><italic toggle="yes">For correspondence</italic>: Dr Amit Chakrabarti, ICMR-Centre for Ageing &amp; Mental Health (ICMR-CAMH), Kolkata 700 091, West Bengal, India e-mail: <email>amit.chakrabarti@gov.in</email>
</corresp></author-notes><pub-date pub-type="epreprint"><day>20</day><month>9</month><year>2024</year></pub-date><pub-date pub-type="epub"><day>30</day><month>9</month><year>2024</year></pub-date><pub-date pub-type="ppub"><month>7</month><year>2024</year></pub-date><volume>160</volume><issue>1</issue><issue-id pub-id-type="pmc-issue-id">472486</issue-id><fpage>95</fpage><lpage>101</lpage><history><date date-type="received"><day>26</day><month>12</month><year>2023</year></date></history><pub-history><event event-type="pmc-release"><date><day>01</day><month>07</month><year>2024</year></date></event><event event-type="pmc-live"><date><day>10</day><month>10</month><year>2024</year></date></event><event event-type="pmc-last-change"><date iso-8601-date="2024-10-10 11:25:35.563"><day>10</day><month>10</month><year>2024</year></date></event></pub-history><permissions><copyright-statement>© 2024 Indian Journal of Medical Research, published by Scientific Scholar for Director-General, Indian Council of Medical Research</copyright-statement><copyright-year>2024</copyright-year><copyright-holder>Indian Journal of Medical Research</copyright-holder><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbyncsalicense">https://creativecommons.org/licenses/by-nc-sa/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.</license-p></license></permissions><self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pmc-pdf" xlink:href="IJMR-160-1-95.pdf"><?pdf-name IJMR-160-1-95.pdf?><?pdf-size 436841?><?pdf-md5 5d3a0a80cb5288a4736ea0476e5b9e5f?><?pdf-image-server-status NEVER_LOAD?><?pdf-cloudpmc-urn urn:app:dc18/11463852/5d3a0a80cb52/IJMR-160-1-95.pdf?></self-uri><abstract><sec><title>Background &amp; objectives</title><p>Tobacco (30%), alcohol (21.4%) and cannabis (3%) are the three most commonly abused substances in India. Tobacco and alcohol abuse have higher prevalence rates among different occupational groups as compared to that in general population in the country. Both tobacco and alcohol lead to significant occupational harm in terms of absenteeism, injuries, sickness and lost productivity. This study estimated the patterns of substance use and associated common psychiatric comorbidity in a sample of coal mine workers.</p></sec><sec><title>Methods</title><p>Coal mine workers at the age of 18 yr or above engaged in mining activities (skilled/semi-skilled/unskilled) were recruited from the Raniganj – Asansol coal mining areas of Eastern Coalfields Limited (ECL). Participants were screened to identify patterns of substance use and other common mental health problems. All participants were administered ASSIST (The Alcohol, Smoking and Substance Involvement Screening Test); GENACIS (Gender, Alcohol and Culture: An International Study) modified questionnaire; and Hospital Anxiety and Depression Scale (HADS) for primary screening for anxiety and depression.</p></sec><sec><title>Results</title><p>Out of 202 participants 69 per cent (n=140) were found with either ‘hazardous and harmful’ (moderate risk); or ‘dependent’ (high risk) patterns of use of either tobacco or alcohol or cannabis or of more than one substance. Only 31 per cent (n=62) were ‘low-risk’ for all substances. Almost 65 per cent (n=132) and 49 per cent (n=99) participants out of the whole sample (n=202) belonged to ‘hazardous and harmful’ (moderate risk) and ‘dependent’ (high risk) pattern of tobacco and alcohol consumption, respectively. About 28.8 per cent (n=38) and 23.7 per cent (n=31) of all participants had anxiety and depression, respectively. Combined moderate to high use of both alcohol and tobacco use was significantly associated with the risk of having anxiety [adjusted odds ratio (AOR)=4.896, <italic toggle="yes">P</italic>&lt;0.015] and depression (AOR=5.335, <italic toggle="yes">P</italic>&lt;0.012).</p></sec><sec><title>Interpretation &amp; conclusions</title><p>Alcohol and tobacco are major substance abuse problems among coal mine workers. This population requires early community and primary care based brief intervention as well as additional community-based pharmacotherapy for substance dependence problems as well as intervention for common mental health issues.</p></sec></abstract><kwd-group><kwd>Mental health</kwd><kwd>alcohol use disorder</kwd><kwd>ASSIST</kwd><kwd>coal mine workers</kwd><kwd>anxiety</kwd><kwd>depression</kwd><kwd>tobacco</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>pmc-status-qastatus</meta-name><meta-value>0</meta-value></custom-meta><custom-meta><meta-name>pmc-status-live</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-status-embargo</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-status-released</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-open-access</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-olf</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-manuscript</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-legally-suppressed</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-pdf</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-supplement</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-pdf-only</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-suppress-copyright</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-real-version</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-scanned-article</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-preprint</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-in-epmc</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-license-ref</meta-name><meta-value>CC BY-NC-SA</meta-value></custom-meta></custom-meta-group></article-meta></front><body><p>Mental health is an under-recognized and under-served area in occupational health in India. Tobacco (30%), alcohol (21.4%) and cannabis (3%) are three most commonly abused substances prevalent in India<sup><xref rid="ref1" ref-type="bibr">1</xref>,<xref rid="ref2" ref-type="bibr">2</xref></sup>. Compared to their use in general population, tobacco and alcohol use have higher prevalence rates among different occupational groups in India; about 47 to 70 per cent for all forms of tobacco across genders and 30 to 50 per cent for alcohol<sup><xref rid="ref3" ref-type="bibr">3</xref>,<xref rid="ref4" ref-type="bibr">4</xref></sup>. An approximate economic burden of harmful alcohol use in India measured in 2003–2004 was INR 244 billion, which significantly exceeded the total excise revenue of INR 216 billion generated countrywide during the same period<sup><xref rid="ref4" ref-type="bibr">4</xref></sup> and 70 per cent of the economic cost of alcohol abuse could be attributed to a loss in productivity<sup><xref rid="ref5" ref-type="bibr">5</xref></sup>.</p><p>The coal industry in India is one of the largest industrial sectors, and Coal India Limited is the highest coal producer in the world, with a turnover of INR 80,000 crore and a worker strength of ∼3,60,000. However, regular consumption of tobacco and alcohol among workers engaged in mining activities (about 83% of workforce) is higher compared to that in other occupational groups (almost 40%) increasing to almost 70 per cent among workers with occupational injuries<sup><xref rid="ref6" ref-type="bibr">6</xref></sup>.</p><p>WHO-ASSIST (World Health Organization – The Alcohol, Smoking and Substance Involvement Screening Test) an eight-question tool is an internationally validated screening tool for patterns of substance use including tobacco, alcohol and cannabis. It provides an accurate measure of patterns of substance use across gender, age and culture. ASSIST is designed for administration by primary care workers<sup><xref rid="ref7" ref-type="bibr">7</xref></sup> and contains eight questions about lifetime and past three months of substance use.</p><p>Therefore, to generate evidence on the problem of alcohol and other substance use among coal mine workers, this study aimed to use ASSIST screening. Furthermore, this study aimed to identify other co-existing common mental health problems in this population, particularly anxiety and depression by using validated tools.</p><sec sec-type="methods" id="st1"><title>Material &amp; Methods</title><p>This was a cross-sectional study in design undertaken at ICMR-Centre for Ageing &amp; Mental Health (ICMR-CAMH), Kolkata (previously Regional Occupational Health Centre, Eastern) after obtaining the approval from the Institutional Ethics Committee. The duration of the study was from December 2016 till March 2019.</p><sec id="st2"><title>Study setting</title><p>This study was implemented in the Asansol – Raniganj area of Eastern Coalfields Limited (ECL); a subsidiary of Coal India Ltd. The mining areas of ECL, distributed over ∼750 sq. km., have 13 operating areas and 80 working mines with a worker strength of ∼70,000. For the sake of convenience and following discussion with officials of ECL, two operating areas, <italic toggle="yes">i.e.</italic>, Satgram (working mines 10) and Sripur (working mines 6) were identified based on accessibility and number of workers available. Two mines from two areas <italic toggle="yes">i.e.</italic>, Ningha from Sripur area and Nimcha from Satgram were selected for implementation of this study (<xref rid="F1" ref-type="fig">Figure</xref>).</p><fig position="float" id="F1" orientation="portrait"><label>Figure.</label><caption><p>Flow diagram showing selection of the participants.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="IJMR-160-1-95-g1.jpg"><?image-name IJMR-160-1-95-g1.jpg?><?image-size 60091?><?image-md5 9891e7d24c18389972336c77b0d33b09?><?image-image-server-status NEVER_LOAD?><?image-original-height 590?><?image-original-width 561?><?image-scaled-height 590?><?image-scaled-width 561?><?image-cloudpmc-urn urn:cdn:blobs/dc18/11463852/9891e7d24c18/IJMR-160-1-95-g1.jpg?><?thumb-name IJMR-160-1-95-g1.gif?><?thumb-size 2579?><?thumb-md5 250c5c2e597129bf70b281a0b417a25f?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 105?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/dc18/11463852/250c5c2e5971/IJMR-160-1-95-g1.gif?></graphic></fig></sec><sec id="st3"><title>Study population</title><p>Coal mine workers engaged in mining activities (skilled/semi-skilled/unskilled) ≥ 18 yr of age were recruited from Ningha and Nimcha working mines. Participants were directly engaged in mining activities and hence the population included only male workforce. The total number of coal mine workers in Ningha and Nimcha working mines was 700 and 1,200, respectively, of which the participants were recruited.</p></sec><sec id="st4"><title>Study sample size</title><p>Estimates of coal mine workers in the Nimcha colliery (Satgram area, ECL) and Ningha colliery (Sripur area, ECL) are ⁓1,200 and 700, respectively. Available evidence suggests that tobacco (30%), alcohol (21.4%) and cannabis (3%) are the three most common substances of abuse prevalent in India. We considered alcohol as the most likely problem substance among coal mine workers with an assumption of a prevalence of at least 20 per cent. Therefore, to detect a minimum of 20 per cent prevalence of alcohol use in a population size of 1,900 at 95% confidence interval (CI), we needed to screen at least 218 persons. The recruitment target, therefore, was n=220 coal mine workers.</p></sec><sec id="st5"><title>Study sample recruitment</title><p>Recruitment was carried out by systematic household-based random sampling, <italic toggle="yes">e.g.</italic>, visiting every 3<sup>rd</sup> or 5<sup>th</sup> household. As coal mine workers live in ECL housing in mine adjoining areas, a list of the mine workers along with their residences was collected locally with the help of ECL workers. Household-based screening was carried out by trained project staff who were accompanied and assisted by support staff from ECL management. Only permanent workers were recruited as participants for the study. To ensure the availability of participants, the project staff, accompanied by a local support workforce, visited the households to enquire about the presence of the workers. If the worker was absent in the 3<sup>rd</sup> household, the project staff went to the 5<sup>th</sup>; if the worker was available in the 3<sup>rd</sup>, the following 3<sup>rd</sup> household was visited. Primary screening and subsequent ASSIST screening and other assessments were carried out by trained project staff, assisted by technical staff of the institute. All project staff received adequate training on the assessment of substance use problems along with the confidentiality and social issues involved in such investigations. During primary screening, the age of a worker was verified, and the following questions were asked:<list list-type="simple" id="list1"><list-item><label>(i)</label><p>Have you consumed alcohol, cannabis in any form (eaten/beverage/smoked) and/or tobacco (smoked/smokeless) in any form during the past year?</p></list-item><list-item><label>(ii)</label><p>Have you consumed alcohol, cannabis in any form (eaten/beverage/smoked) and/or tobacco (smoked/smokeless) in any form during the past 30 days?</p></list-item></list>
</p><p>Any worker responding ‘yes’ to both questions for any or more than one substance was briefed about the study and recruited following completion of the signed informed consent procedure. Workers recruited to participate in the study were, in general, advised to complete subsequent assessments on the same day. However, some workers, having urgencies of shift-work-schedule, were advised to come the following day. In general, same project staff engaged in informed consent and recruitment of a particular participant, completed the full assessment upon recruitment. Any worker responding ‘no’ to any of the initial two questions was not included in the study and was provided general health advice.</p></sec><sec id="st6"><title>Study methodology</title><p>Study procedures were conducted in the households of workers/local dispensaries during off-duty hours of the participants as desired by the participants to ensure privacy of the assessment. On recruitment, all participants were administered the following procedure:
<list list-type="roman-lower" id="list2"><list-item><p>ASSIST, an eight-question internationally validated tool for screening of ‘abstinent and low-risk’; ‘hazardous and harmful’ (moderate risk); or ‘dependent’ (high risk) patterns of use. A validated Hindi version of the instrument was available.</p><p>Patterns of use were defined by ASSIST score in the following manner.</p><list list-type="alpha-lower" id="list3"><list-item><p>‘Low-risk’ – Score 1 to 3 for tobacco and cannabis; and 1 to 10 for alcohol.</p></list-item><list-item><p>‘Hazardous and harmful’ – Score 4 to 26 for tobacco and cannabis; and 11 to 26 for alcohol.</p></list-item><list-item><p>‘Dependent’ – Score 27 and above for all (tobacco, alcohol and cannabis).</p></list-item></list></list-item><list-item><p>Socio demographic instrument: Integrated in modified GENACIS (Gender, Alcohol and Culture: An International Study) questionnaire<sup><xref rid="ref8" ref-type="bibr">8</xref></sup> including socio demographic, economic (<italic toggle="yes">e.g.</italic>, monthly income), family and socio-cultural information, work hours and levels of work-related stress.</p></list-item><list-item><p>Hospital anxiety and depression scale (HADS): This instrument designed to identify both anxiety and depressive disorders has been used extensively in clinical and research studies and validated in a number of Indian languages<sup><xref rid="ref9" ref-type="bibr">9</xref></sup>.</p></list-item></list>
</p></sec><sec id="st7"><title>Statistical analysis</title><p>All research data were collected on pen and paper and by face-to-face interviews with the participants. Data were initially entered in MS Excel and cleaned. Socio demographic information, <italic toggle="yes">viz.</italic>, level of education and monthly earnings were categorized. Chi square test was used to show the association between categorical variables, <italic toggle="yes">viz.</italic>, levels of alcohol and/or tobacco use with anxiety or depression. Binary logistic multivariable regression was used for risk assessment to identify whether alcohol and/or tobacco use can predict anxiety or depression. Multivariable regression was adjusted for age and income level. Omnibus Chi-square test and Hosmer Lemeshow statistics were used to check model fitness. <italic toggle="yes">P</italic>≤0.05 was considered as significant at 5% level of significance. All data were analyzed using IBM SPSS Version 21 (IBM Corp., Armonk, NY, USA). The manuscript was prepared in conformity with the STROBE-guidelines for reporting observational studies<sup><xref rid="ref10" ref-type="bibr">10</xref></sup>.</p></sec></sec><sec sec-type="results" id="st8"><title>Results</title><p>These study sites were at an approximate distance of 200 km from Kolkata, the capital city of West Bengal and the investigation was conducted among coal mine workers in the Nimcha colliery (Satgram area, ECL) and Ningha colliery (Sripur area, ECL). Both sites had a stable population base with insignificant in or out-migration. Till the completion of the study up to March 2019, 202 coal mine workers were recruited and screened by ASSIST. Following screening by ASSIST 69 per cent (n=140) were found with either ‘hazardous and harmful’ (moderate risk); or ‘dependent’ (high risk) patterns of use of either tobacco or alcohol or cannabis or more than one substance. Only 31 per cent (n=62) were ‘low-risk’ for all substances and were provided with general medical advice including advice to remain at a ‘low-risk’ level for substance use.</p><p>All participants were males aged 25 to 58 yr, and the mean age was 46 yr (± standard deviation). Most subjects (about 60%) were illiterate or had only primary education; however, the children of most participants (81%) had either completed school or were currently going to school. The median monthly earnings of workers was INR 35,000, with a range of INR 8,000 to 60,000, and most (88%) had more than one asset in their households. Use of liquid petroleum gas (LPG) (47%) and coal (48%) for cooking were reported by an almost equal proportion of the participating workers.</p><p>In screening by ASSIST for patterns of tobacco consumption (both smokeless and smoked), 65 per cent (n=132) participants of 202 belonged to ‘hazardous and harmful’ (moderate risk) and ‘dependent’ (high risk) pattern of consumption. However, about 18 per cent (n=36) participants had only tobacco as the major substance use problem.</p><p>Regarding alcohol consumption almost 49 per cent (n=99) workers had ‘hazardous and harmful’ (moderate risk); or ‘dependent’ (high risk) pattern of consumption; 3 participants (1.5%) had only alcohol as the major substance problem.</p><p>Only 13 (6.4%) workers were identified with cannabis use with 4.45 per cent (n=9) in ‘hazardous and harmful’ (moderate risk) category and 2 per cent (n=4) were in ‘dependent’ (high risk) category.</p><p>When combined substance use was considered, the most common pattern was combined ‘hazardous and harmful’ (moderate risk) or ‘dependent’ (high risk) use of alcohol and tobacco: 31 per cent (n=63) followed by combined moderate to high risk use of alcohol, tobacco and cannabis: 5.45 per cent (n=11).</p><p>Screening for anxiety and depression by HADS was conducted to assess the possibility of psychiatric comorbidity among the coal mine worker participants. Anxiety and depression were analyzed upon 132 and 131 participants, out of 202 participants, respectively including all categories, <italic toggle="yes">i.e.</italic>, ‘low-risk, ‘hazardous and harmful’ (moderate risk); or ‘dependent’ (high risk) following adjustment for missing data. Almost 28.8 per cent (n=38) out of 132 participants with any category of alcohol and/or tobacco use as screened by ASSIST were identified with anxiety that included both moderate and high levels of anxiety. Out of the 38 participants who had anxiety, 52.6 per cent (n=20) were moderate to high-risk users of both alcohol and tobacco, while among workers with low risk to both alcohol and tobacco, anxiety was recorded only in 13.2 per cent (n=5). This association was found to be significant both in bivariate and multivariable analysis. Odds of having anxiety was 4.048 times (<italic toggle="yes">P=</italic>0.029) and 4.896 times (<italic toggle="yes">P=</italic>0.015) more among participants having moderate to high risk for either alcohol or tobacco use and moderate to high risk for combined alcohol and tobacco use, respectively in comparison with low risk of substance problem (both alcohol and tobacco). Majority of the participants having anxiety (64.3%) had monthly income level less than INR 33,000 and half of the participants (50%) with anxiety were less than 45 yr of age. No significant difference was observed between anxiety with income level and age group (<xref rid="T1" ref-type="table">Table I</xref>).</p><table-wrap position="float" id="T1" orientation="portrait"><label>Table I.</label><caption><p>Association of anxiety with alcohol and tobacco use among coal mine workers (n=132)</p></caption><table frame="hsides" rules="groups" cellpadding="10" cellspacing="0"><thead><tr><th align="left" rowspan="2" colspan="1">Variables </th><th align="center" colspan="4" rowspan="1">Anxiety<hr/></th><th align="center" colspan="3" rowspan="1">Bivariate<hr/></th><th align="center" colspan="3" rowspan="1">Multivariable<hr/></th></tr><tr><th align="center" rowspan="1" colspan="1"><p>Absent</p>
<p>(n=94), n (%)</p>
</th><th align="center" rowspan="1" colspan="1"><p>Present</p>
<p>(n=38), n (%)</p>
</th><th align="center" rowspan="1" colspan="1"><p>Total</p>
<p>(n=132), n (%)</p>
</th><th align="center" rowspan="1" colspan="1">Pearson’s chi-square test, <italic toggle="yes">P</italic> value</th><th align="center" rowspan="1" colspan="1">OR</th><th align="center" rowspan="1" colspan="1"><p>95% CI</p>
<p>Lower - Upper</p>
</th><th align="center" rowspan="1" colspan="1"><italic toggle="yes">P</italic> value</th><th align="center" rowspan="1" colspan="1">OR</th><th align="center" rowspan="1" colspan="1"><p>95% CI</p>
<p>Lower - Upper</p>
</th><th align="center" rowspan="1" colspan="1"><italic toggle="yes">P</italic> value</th></tr></thead><tbody><tr><th align="left" colspan="11" rowspan="1">Alcohol &amp; tobacco</th></tr><tr><td align="left" rowspan="1" colspan="1">Both low</td><td align="center" rowspan="1" colspan="1">43 (45.7)</td><td align="center" rowspan="1" colspan="1">5 (13.2)</td><td align="center" rowspan="1" colspan="1">48 (36.4)</td><td align="center" rowspan="3" colspan="1">
<p>12.728,</p>
<p>0.002</p>
</td><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Any substance (moderate to high)</td><td align="center" rowspan="1" colspan="1">23 (24.5)</td><td align="center" rowspan="1" colspan="1">13 (34.2)</td><td align="center" rowspan="1" colspan="1">36 (27.3)</td><td align="center" rowspan="1" colspan="1">4.861</td><td align="center" rowspan="1" colspan="1">1.541 - 15.336</td><td align="center" rowspan="1" colspan="1">0.007</td><td align="center" rowspan="1" colspan="1">4.048</td><td align="center" rowspan="1" colspan="1">1.156 - 14.17</td><td align="center" rowspan="1" colspan="1">0.029</td></tr><tr><td align="left" rowspan="1" colspan="1">Both (moderate to high)</td><td align="center" rowspan="1" colspan="1">28 (29.8)</td><td align="center" rowspan="1" colspan="1">20 (52.6)</td><td align="center" rowspan="1" colspan="1">48 (36.4)</td><td align="center" rowspan="1" colspan="1">6.143</td><td align="center" rowspan="1" colspan="1">2.066 - 18.26</td><td align="center" rowspan="1" colspan="1">0.001</td><td align="center" rowspan="1" colspan="1">4.896</td><td align="center" rowspan="1" colspan="1">1.355 - 17.687</td><td align="center" rowspan="1" colspan="1">0.015</td></tr><tr><th align="left" colspan="11" rowspan="1">
<bold>Income (INR)</bold>
</th></tr><tr><td align="left" rowspan="1" colspan="1">&lt;33000</td><td align="center" rowspan="1" colspan="1">67 (78.8)</td><td align="center" rowspan="1" colspan="1">18 (64.3)</td><td align="center" rowspan="1" colspan="1">85 (75.2)</td><td align="center" rowspan="2" colspan="1">
<p>2.388,</p>
<p>0.122</p>
</td><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&gt;33000</td><td align="center" rowspan="1" colspan="1">18 (21.2)</td><td align="center" rowspan="1" colspan="1">10 (35.7)</td><td align="center" rowspan="1" colspan="1">28 (24.8)</td><td align="center" rowspan="1" colspan="1">2.068</td><td align="center" rowspan="1" colspan="1">0.814 - 5.251</td><td align="center" rowspan="1" colspan="1">0.126</td><td align="center" rowspan="1" colspan="1">1.057</td><td align="center" rowspan="1" colspan="1">0.364 - 3.069</td><td align="center" rowspan="1" colspan="1">0.919</td></tr><tr><th align="left" colspan="11" rowspan="1">
<bold>Age group (yr)</bold>
</th></tr><tr><td align="left" rowspan="1" colspan="1">&gt;45</td><td align="center" rowspan="1" colspan="1">55 (59.1)</td><td align="center" rowspan="1" colspan="1">19 (50)</td><td align="center" rowspan="1" colspan="1">74 (56.5)</td><td align="center" rowspan="2" colspan="1">0.917, 0.388</td><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&lt;45</td><td align="center" rowspan="1" colspan="1">38 (40.9)</td><td align="center" rowspan="1" colspan="1">19 (50)</td><td align="center" rowspan="1" colspan="1">57 (43.5)</td><td align="center" rowspan="1" colspan="1">1.447</td><td align="center" rowspan="1" colspan="1">0.678 - 3.09</td><td align="center" rowspan="1" colspan="1">0.339</td><td align="center" rowspan="1" colspan="1">1.513</td><td align="center" rowspan="1" colspan="1">0.597 - 3.833</td><td align="center" rowspan="1" colspan="1">0.382</td></tr></tbody></table><table-wrap-foot><fn id="table-fn1"><p>Ref, reference; INR, Indian rupees; CI, confidence interval; OR, odds ratio</p></fn></table-wrap-foot></table-wrap><p>Among 131 participants, 23.7 per cent (n=31) were recorded to have depression. Out of the total participants who were depressed, 61.3 per cent (n=19) were in the moderate to high risk for combined alcohol and tobacco use category. Again, among workers with low risk to both alcohol and tobacco depression was only 16.1 per cent (n=5). Combined moderate to high use of both alcohol and tobacco use emerged as risk for having depression [adjusted odds ratio (AOR)=5.335, <italic toggle="yes">P</italic>&lt;0.012] compared to both low level of alcohol and tobacco use. About 65.2 per cent and 44.8 per cent of participants having depression had income level less than INR 33,000 and belonged to age group of more than 45 yr respectively. No significant association was found between depression with income level and age group (<xref rid="T2" ref-type="table">Table II</xref>).</p><table-wrap position="float" id="T2" orientation="portrait"><label>Table II.</label><caption><p>Association of depression with alcohol and tobacco use among coal mine workers (n=131)</p></caption><table frame="hsides" rules="groups" cellpadding="10" cellspacing="0"><thead><tr><th align="left" rowspan="2" colspan="1">Variables </th><th align="center" colspan="4" rowspan="1">Depression<hr/></th><th align="center" colspan="3" rowspan="1">Bivariate<hr/></th><th align="center" colspan="3" rowspan="1">Multivariable<hr/></th></tr><tr><th align="center" rowspan="1" colspan="1"><p>Absent</p>
<p>(n=100), n (%)</p>
</th><th align="center" rowspan="1" colspan="1"><p>Present</p>
<p>(n=31), n (%)</p>
</th><th align="center" rowspan="1" colspan="1"><p>Total</p>
<p>(n=131), n (%)</p>
</th><th align="center" rowspan="1" colspan="1">Pearson’s chi-square test, <italic toggle="yes">P</italic> value</th><th align="center" rowspan="1" colspan="1">OR</th><th align="center" rowspan="1" colspan="1"><p>95% CI</p>
<p>Lower - Upper</p>
</th><th align="center" rowspan="1" colspan="1"><italic toggle="yes">P</italic> value</th><th align="center" rowspan="1" colspan="1">OR</th><th align="center" rowspan="1" colspan="1"><p>95% CI</p>
<p>Lower - Upper</p>
</th><th align="center" rowspan="1" colspan="1"><italic toggle="yes">P</italic> value</th></tr><tr><th align="left" colspan="11" rowspan="1">Alcohol &amp; tobacco</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Both low</td><td align="center" rowspan="1" colspan="1">42 (42)</td><td align="center" rowspan="1" colspan="1">5 (16.1)</td><td align="center" rowspan="1" colspan="1">47 (35.9)</td><td align="center" rowspan="3" colspan="1">
<p>11.503,</p>
<p>0.003</p>
</td><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Any substance (moderate to high)</td><td align="center" rowspan="1" colspan="1">29 (29)</td><td align="center" rowspan="1" colspan="1">7 (22.6)</td><td align="center" rowspan="1" colspan="1">36 (27.5)</td><td align="center" rowspan="1" colspan="1">2.028</td><td align="center" rowspan="1" colspan="1">0.586 - 7.016</td><td align="center" rowspan="1" colspan="1">.264</td><td align="center" rowspan="1" colspan="1">1.456</td><td align="center" rowspan="1" colspan="1">0.346 - 6.125</td><td align="center" rowspan="1" colspan="1">0.608</td></tr><tr><td align="left" rowspan="1" colspan="1">Both (moderate to high)</td><td align="center" rowspan="1" colspan="1">29 (29)</td><td align="center" rowspan="1" colspan="1">19 (61.3)</td><td align="center" rowspan="1" colspan="1">48 (36.6)</td><td align="center" rowspan="1" colspan="1">5.503</td><td align="center" rowspan="1" colspan="1">1.845 - 16.416</td><td align="center" rowspan="1" colspan="1">.002</td><td align="center" rowspan="1" colspan="1">5.335</td><td align="center" rowspan="1" colspan="1">1.442 - 19.731</td><td align="center" rowspan="1" colspan="1">0.012</td></tr><tr><th align="left" colspan="11" rowspan="1">
<bold>Income (INR)</bold>
</th></tr><tr><td align="left" rowspan="1" colspan="1">&lt;33000</td><td align="center" rowspan="1" colspan="1">69 (77.5)</td><td align="center" rowspan="1" colspan="1">15 (65.2)</td><td align="center" rowspan="1" colspan="1">84 (75)</td><td align="center" rowspan="2" colspan="1">
<p>1.477,</p>
<p>0.224</p>
</td><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&gt;33000</td><td align="center" rowspan="1" colspan="1">20 (22.5)</td><td align="center" rowspan="1" colspan="1">8 (34.8)</td><td align="center" rowspan="1" colspan="1">28 (25)</td><td align="center" rowspan="1" colspan="1">1.84</td><td align="center" rowspan="1" colspan="1">0.682 - 4.962</td><td align="center" rowspan="1" colspan="1">.228</td><td align="center" rowspan="1" colspan="1">0.861</td><td align="center" rowspan="1" colspan="1">0.267 - 2.781</td><td align="center" rowspan="1" colspan="1">0.803</td></tr><tr><th align="left" colspan="11" rowspan="1">
<bold>Age group (yr)</bold>
</th></tr><tr><td align="left" rowspan="1" colspan="1">&gt;45</td><td align="center" rowspan="1" colspan="1">60 (60.6)</td><td align="center" rowspan="1" colspan="1">13 (44.8)</td><td align="center" rowspan="1" colspan="1">73 (57)</td><td align="center" rowspan="2" colspan="1">
<p>3.34,</p>
<p>0.068</p>
</td><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">Ref</td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&lt;45</td><td align="center" rowspan="1" colspan="1">39 (39.4)</td><td align="center" rowspan="1" colspan="1">16 (55.2)</td><td align="center" rowspan="1" colspan="1">55 (43)</td><td align="center" rowspan="1" colspan="1">2.13</td><td align="center" rowspan="1" colspan="1">0.939 - 4.834</td><td align="center" rowspan="1" colspan="1">.070</td><td align="center" rowspan="1" colspan="1">1.471</td><td align="center" rowspan="1" colspan="1">0.542 - 3.993</td><td align="center" rowspan="1" colspan="1">0.449</td></tr></tbody></table></table-wrap></sec><sec sec-type="discussion" id="st9"><title>Discussion</title><p>This study presents observations regarding patterns of common substance use behaviour among coal mine workers in West Bengal. Alcohol and tobacco were major substance use problems among coal mine workers. Although this study had a small sample size, the prevalence rates for both tobacco and alcohol problems among coal mine workers are much higher than that observed in the general population, <italic toggle="yes">viz.</italic>, 20.9 per cent prevalence of tobacco use disorders and a national prevalence rate of 4.7 per cent of alcohol use disorder among Indian adults identified by National Mental Health Survey 2015-2016<sup><xref rid="ref11" ref-type="bibr">11</xref></sup>.</p><p>Alcohol and other substance use, particularly among different occupation groups, is an under-investigated area in the Indian context, although the health and economic consequences of the same are significant. Available evidence from the country does not report a systematic and robust investigation on alcohol and substance use problems among coal mine workers in India. Reported findings include presence of alcohol use (20%) and tobacco smoking (60%) among stone mine workers in Rajasthan<sup><xref rid="ref12" ref-type="bibr">12</xref></sup> and a higher risk of injury among underground coal miners who consume alcohol<sup><xref rid="ref6" ref-type="bibr">6</xref></sup>. Internationally the evidence base is more robust and comparable to our findings with a cross-sectional study from Mongolia reporting a 22.1 per cent alcohol use among mine workers <italic toggle="yes">vs</italic>. the national prevalence rate of 15.5 per cent<sup><xref rid="ref13" ref-type="bibr">13</xref></sup>. An Australian study among metal mine workers assessed alcohol use among workers with WHO validated Alcohol Use Disorders Identification Test (AUDIT) and identified a 94.8 per cent alcohol use among males and 92.1 per cent use among females in past 12 months<sup><xref rid="ref14" ref-type="bibr">14</xref></sup>. Additionally, a study from Ukraine identified that current drinkers have a higher chance of engagement in a high-risk profession like coal mining<sup><xref rid="ref15" ref-type="bibr">15</xref></sup>. The population with moderate to high-risk alcohol use is expected to benefit most from early community or primary care based brief intervention with add on pharmacotherapy.</p><p>Combined moderate to high use of both alcohol and tobacco use emerged as risk for having anxiety and depression compared to both low risk of alcohol and tobacco use. In addition, odds of having anxiety is 4.048 times higher among participants having moderate to high risk use of either alcohol and tobacco when compared to low risk of alcohol and tobacco use. Similar observations have also been reported from a study among Chinese coal mine workers with detection rates of anxiety higher among workers with drinking habit<sup><xref rid="ref16" ref-type="bibr">16</xref></sup>. A study among Brazilian coal miners, however, reported low rates of depression and 13 per cent prevalence of low or moderate anxiety<sup><xref rid="ref17" ref-type="bibr">17</xref></sup>. On the contrary, among Asian population, among Chinese coal mine workers, a study using Hamilton Anxiety Rating Scale and Hamilton Depression Rating Scale identified incidence of anxiety and depression as 51.1 per cent and 60.5 per cent respectively<sup><xref rid="ref16" ref-type="bibr">16</xref></sup>. Tobacco is evidenced to possibly have a bidirectional relationship with anxiety or depression with smoking behavior leading to later onset of anxiety/depression or vice versa<sup><xref rid="ref18" ref-type="bibr">18</xref></sup>. Similarly alcohol use disorders are known to co-exist at a higher rate among persons with an anxiety disorder or other behavioral disorder<sup><xref rid="ref19" ref-type="bibr">19</xref></sup>.</p><p>Therefore, our findings not only strengthen the need for community and primary care-based intervention for tobacco and alcohol use disorders among coal mine workers, but further expand the scope of the study to further investigate and intervene for co-morbid common mental health problems.</p><p>The resources and time available with the study team did not permit covering a wider representation of the entire coal miner workforce of the Eastern Coalfields Ltd under the present investigation. Our inquiry on mental health comorbidity was limited only to anxiety and depression and we could not include other relevant mental health morbidities. The broad objective of this investigation was to identify whether the study population had a considerable problem of alcohol and other substance use and associated common mental health comorbidities. However, this study was not powered enough to look into the sociocultural determinants to identify the interactions and mediations to investigate further the pathways of substance use disorders and mental health comorbidities.</p></sec></body><back><ack><title>Acknowledgments</title><p>Authors acknowledge Prof. Malay K. Ghosal (Medical College, Kolkata) for guidance and inputs; Director (Personnel). Drs B. Guha (Chief Medical Services), S.K. Sinha (CMO), M.M. Samantaray (Ex-Chief, Medical Services), R.R.K. Singh (AMO, Sripur Area), T. Dutta (AMO, Satgram Area), J. Mukherjee (Medical Superintendent &amp; Project Coordinator on behalf of ECL), S.P. Chakraborty (Central Hospital, Kalla), R.C. Soren, P. Ranjan, Mr. B. Mishra, Mr. I. Paswan and Ms. Arati Bauri (ECL) for assistance, coordination, organization and support. Dr. S. Chatterjee (Asansol District Hospital) for assistance and support and Mr. K. Nayak [ROHC (E)] for field work.</p></ack><sec id="st10"><title>Financial support &amp; sponsorship</title><p>This study was funded by an intramural grant received from the ICMR-National Institute of Occupational Health (ICMR-NIOH), Ahmedabad.</p></sec><sec sec-type="COI-statement" id="st11"><title>Conflicts of Interest</title><p>None.</p></sec><sec id="st12"><title>Use of Artificial Intelligence (AI)-Assisted Technology for manuscript preparation</title><p>The authors confirm that there was no use of AI-assisted technology for assisting in the writing of the manuscript and no images were manipulated using AI.</p></sec><ref-list><title>References</title><ref id="ref1"><label>1.</label><element-citation publication-type="book"><person-group person-group-type="author">
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