RESEARCH PAPER
Socioeconomic inequality in any tobacco use versus current smoking across 66 DHS countries: Indirect implications for smokeless tobacco and oral cancer prevention
More details
Hide details
1
Department of Acupuncture
and Rehabilitation, The
Affiliated Traditional
Chinese Medicine Hospital
of Guangzhou Medical
University, Guangzhou, China
2
Guangzhou University
of Chinese Medicine,
Guangzhou, China
3
Department of
Stomatology, Guangdong
Women and Children Hospital,
Guangzhou, Chin
Submission date: 2026-05-30
Final revision date: 2026-07-10
Acceptance date: 2026-07-19
Publication date: 2026-08-31
Corresponding author
Kangwen Ming
Department
of Acupuncture and
Rehabilitation, The Affiliated
Traditional Chinese Medicine
Hospital of Guangzhou
Medical University,
Guangzhou, 510640,
Guangdong, China
Tob. Induc. Dis. 2026;24(August):152
KEYWORDS
TOPICS
ABSTRACT
Introduction:
Smokeless tobacco use is a major preventable risk factor for lip and
oral cavity cancer, with a particularly heavy burden in South and Southeast Asia.
We aimed to quantify, across countries, whether the socioeconomic gradient of
any tobacco use is more pro-poor than that of smoked tobacco alone, thereby
indirectly assessing the additional inequality attributable to smokeless tobacco.
Methods:
In this secondary analysis of publicly available Demographic and Health
Surveys (DHS) data (66 countries, survey years 1999–2024), supplemented by
the WHO Global Health Observatory and World Bank indicators, we computed
concentration indices (CIXs), the slope index of inequality (SII), and Wagstaffnormalized
CIXs for smoking and any tobacco use across wealth, education
level, and residence dimensions. Eligible observations were country-survey
estimates stratified by wealth quintile, education level, or urban/rural residence,
with complete data across all subgroups; national-total, age-, and region-only
estimates were excluded. The core hypothesis was tested indirectly, via paired
comparison of any-tobacco versus smoked-only CIXs (81 paired observations),
because DHS smokeless indicators are available only as national aggregates.
Wagstaff decomposition quantified the relative contributions of socioeconomic
determinants.
Results:
The mean wealth-related CIX for smoking was -0.045 (SD=0.184), with
66% of estimates negative. The mean CIX for any tobacco use (-0.094) was
significantly lower than for smoking alone (-0.060; paired ΔCIX= -0.033, 95% CI:
-0.060 – -0.007, p=0.017), with 62% of pairs showing a more pro-poor gradient
for any tobacco use. Education level and residence together accounted for >80%
of explainable inequality in the decomposition analysis.
Conclusions:
The socioeconomic gradient of any tobacco use is significantly more
pro-poor than that of smoking alone, suggesting that smokeless tobacco amplifies
tobacco-related health inequality. These ecological findings suggest that tobaccocontrol
monitoring may benefit from integrating smokeless tobacco into inequality
surveillance; individual-level studies are needed before specific populations are
targeted.
CONFLICTS OF INTEREST
The authors have each completed and submitted an ICMJE form for disclosure of potential conflicts of interest. The authors declare that they have no competing interests, financial or otherwise, related to the current work. J. He reports that since the initial planning of the work he received support from the Guangdong Traditional Chinese Medicine Bureau Project (Grant No. 20251039) and K. Ming reports receiving support from the Guangzhou Science, Technology and Innovation Commission Key R&D Program (Grant No. 2024B03J1260).
FUNDING
This work was supported by the Guangdong Traditional Chinese
Medicine Bureau Project (Grant No. 20251039) and the Guangzhou
Science, Technology and Innovation Commission Key R&D Program
(Grant No. 2024B03J1260).
ETHICAL APPROVAL AND INFORMED CONSENT
Ethical approval and informed consent were not required for this study
as it is a secondary analysis of existing data.
DATA AVAILABILITY
AUTHORS' CONTRIBUTIONS
JH, KM and XL: conceptualization. XL, MW and PZ: data curation and
formal analysis. HL and TY: methodology. TY, XL and MW: interpretation.
XL and MW: writing of original draft. TY, HL, JH and KM: writing,
reviewing and editing of the manuscript. KM and JH: funding
acquisition, supervision. All authors read and approved the final version
of the manuscript.
ADDITIONAL INFORMATION
SUPPLEMENTARY FILE DISCLAIMER
The content has been provided by the author(s) and has not been
reviewed, verified, or endorsed by European Publishing. It may not have
undergone peer review. The views, opinions, and recommendations
expressed are solely those of the author(s) and do not necessarily reflect
the position of European Publishing. European Publishing accepts no
responsibility or liability for any consequences arising from the use of,
or reliance on, this content.
PROVENANCE AND PEER REVIEW
Not commissioned; externally peer reviewed.
REFERENCES (34)
1.
GBD 2019 Lip, Oral, and Pharyngeal Cancer Collaborators, Cunha ARD, Compton K, et al. The Global, Regional, and National Burden of Adult Lip, Oral, and Pharyngeal Cancer in 204 Countries and Territories: A Systematic Analysis for the Global Burden of Disease Study 2019. JAMA Oncol. 2023;9(10):1401-1416. doi:10.1001/jamaoncol.2023.2960
2.
Rumgay H, Nethan ST, Shah R, et al. Global burden of oral cancer in 2022 attributable to smokeless tobacco and areca nut consumption: A population attributable fraction analysis. Lancet Oncol. 2024;25(11):1413-1423. doi:10.1016/S1470-2045(24)00458-3
3.
GBD 2019 Tobacco Collaborators. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: A systematic analysis from the Global Burden of Disease Study 2019. Lancet. 2021;397(10292):2337-2360. doi:10.1016/S0140-6736(21)01169-7
4.
Sreeramareddy CT, Acharya K. Trends in prevalence of tobacco use by sex and socioeconomic status in 22 Sub-Saharan african countries, 2003-2019. JAMA Netw Open. 2021;4(12):e2137820. doi:10.1001/jamanetworkopen.2021.37820
5.
Dai X, Gakidou E, Lopez AD. Evolution of the global smoking epidemic over the past half century: Strengthening the evidence base for policy action. Tob Control. 2022;31(2):129-137. doi:10.1136/tobaccocontrol-2021-056535
6.
Chen DT, Millett C, Filippidis FT. Prevalence and determinants of dual and poly-tobacco use among males in 19 low-and middle-income countries: Implications for a comprehensive tobacco control regulation. Prev Med. 2021;142:106377. doi:10.1016/j.ypmed.2020.106377
7.
Kaur J, Rinkoo AV, Richardson S. Trends in smokeless tobacco use and attributable mortality and morbidity in the South-East Asia Region: Implications for policy. Tob Control. 2024;33(4):425-433. doi:10.1136/tc-2022-057669
8.
Yang H, Ma C, Zhao M, Magnussen CG, Xi B. Prevalence and trend of smokeless tobacco use and its associated factors among adolescents aged 12-16 years in 138 countries/territories, 1999-2019. BMC Med. 2022;20(1):460. doi:10.1186/s12916-022-02662-0
9.
Spencer G, Nugent R, Mann N, et al. Equity implications of tobacco taxation: Results from WHO FCTC investment cases. Tob Control. 2024;33(suppl 1):s27-s33. doi:10.1136/tc-2023-058338
10.
Vladisavljevic M, Zubović J, Jovanovic O, Đukić M. Crowding-out effect of tobacco consumption in Serbia. Tob Control. 2024;33(suppl 2):s88-s94. doi:10.1136/tc-2022-057727
11.
Macías Sánchez A, García Gómez A. Crowding out and impoverishing effect of tobacco in Mexico. Tob Control. 2024;33(suppl 2):s68-s74. doi:10.1136/tc-2022-057791
12.
Sreeramareddy CT, Harper S, Ernstsen L. Educational and wealth inequalities in tobacco use among men and women in 54 low-income and middle-income countries. Tob Control. 2018;27(1):26-34. doi:10.1136/tobaccocontrol-2016-053266
16.
Python Software Foundation. Python Language Reference, version 3.12. Accessed July 19, 2026.
https://www.python.org
17.
Huang MZ, Liu TY, Zhang ZM, Song F, Chen T. Trends in the distribution of socioeconomic inequalities in smoking and cessation: Evidence among adults aged 18 ~ 59 from China Family Panel Studies data. Int J Equity Health. 2023;22(1):86. doi:10.1186/s12939-023-01898-3
18.
Tanaka H, Mackenbach JP, Kobayashi Y. Widening socioeconomic inequalities in smoking in Japan, 2001-2016. J Epidemiol. 2021;31(6):369-377. doi:10.2188/jea.JE20200025
19.
Disney G, Petrie D, Yang Y, Aitken Z, Gurrin L, Kavanagh A. Smoking inequality trends by disability and income in Australia, 2001 to 2020. Epidemiology. 2023;34(2):302-309. doi:10.1097/EDE.0000000000001582
20.
GBD 2019 Chewing Tobacco Collaborators. Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: A systematic analysis from the Global Burden of Disease Study 2019. Lancet Public Health. 2021;6(7):e482-e499. doi:10.1016/S2468-2667(21)00065-7
21.
Ghate N, Kumar P, Dhillon P. Socioeconomic determinants of smokeless tobacco use among Indian women: An analysis of Global Adult Tobacco Survey-2, India. WHO South East Asia J Public Health. 2022;11(1):24-31. doi:10.4103/WHO-SEAJPH.WHO-SEAJPH_160_21
22.
Halder P, Alwani AA, Nongkynrih B, Chakraborty S, Krishnan A. Rural-urban disparities in tobacco use among middle aged and elderly Indian adults: A multivariate decomposition analysis. BMC Public Health. 2025;25(1):2818. doi:10.1186/s12889-025-23937-0
23.
Shaikh R, Saikia N. Socioeconomic inequalities in tobacco cessation among Indians above 15 years of age from 2009 to 2017: Evidence from the Global Adult Tobacco Survey (GATS). BMC Public Health. 2022;22(1):1419. doi:10.1186/s12889-022-13820-7
24.
Chugh A, Arora M, Jain N, et al. The global impact of tobacco control policies on smokeless tobacco use: A systematic review. Lancet Glob Health. 2023;11(6):e953-e968. doi:10.1016/S2214-109X(23)00205-X
25.
Bandyopadhyay A, Irfan M. Educational and wealth inequalities in smokeless tobacco use: An analysis of rural-urban areas of Bangladesh and India. Subst Abuse. 2019;13:1178221818825074. doi:10.1177/1178221818825074
26.
Sreeramareddy CT, Harper S. Trends in educational and wealth inequalities in adult tobacco use in Nepal 2001-2016: Secondary data analyses of four Demographic and Health Surveys. BMJ Open. 2019;9(9):e029712. doi:10.1136/bmjopen-2019-029712
27.
Carnazza G, Liberati P, Resce G. Income-related inequality in smoking habits: A comparative assessment in the European Union. Health Policy. 2023;128:34-41. doi:10.1016/j.healthpol.2022.12.002
28.
Mann N, Spencer G, Hutchinson B, et al. Interpreting results, impacts and implications from WHO FCTC tobacco control investment cases in 21 low-income and middle-income countries. Tob Control. 2024;33(suppl 1):s17-s26. doi:10.1136/tc-2023-058337
29.
Puljević C, Feulner L, Hobbs M, et al. Tobacco endgame and priority populations: A scoping review. Tob Control. 2024;33(e2):e231-e239. doi:10.1136/tc-2022-057715
30.
Mills SD, Rosario C, Yerger VB, Kalb MD, Ribisl KM. Recommendations to advance equity in tobacco control. Tob Control. 2024;33(e2):e246-e253. doi:10.1136/tc-2022-057670
31.
Littlecott HJ, Moore GF, McCann M, et al. Exploring the association between school-based peer networks and smoking according to socioeconomic status and tobacco control context: A systematic review. BMC Public Health. 2022;22(1):142. doi:10.1186/s12889-021-12333-z
32.
McEvoy O, Layte R. Bringing the group back in: Social class and resistance in adolescent smoking. Sociol Health Illn. 2025;47(2):e13858. doi:10.1111/1467-9566.13858
33.
Pilvar H, Nicodemo C, Petrou S, et al. Socioeconomic inequity in extreme outcomes within very pre-term and/or very low birthweight infants: Evidence from multi-national cohorts. Front Public Health. 2026;14:1791450. doi:10.3389/fpubh.2026.1791450
34.
Van Hemelrijck WMJ, Kunst AE, Sizer A, et al. Trends in educational inequalities in smoking-attributable mortality and their impact on changes in general mortality inequalities: Evidence from England and Wales, Finland, and Italy (Turin). J Epidemiol Community Health. 2024;78(9):561-569. doi:10.1136/jech-2023-221702