The Influence of Socioeconomic Status on Esophageal Cancer in Taiwan: A Population-Based Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Ethical Approval
2.2. Patient and Public Involvement
2.3. Data Source
2.4. Study Design
2.5. Socioeconomic Stratifications
2.6. Statistical Analysis
3. Results
3.1. Esophageal Cancer Diagnoses of the 40- to 79-Year-Old Population in Taiwan
3.2. SES and Esophageal Cancer Diagnoses
3.3. Variables Affecting Late-Stage Esophageal Cancer at Diagnosis
4. Discussion
4.1. Weaknesses and Limitations
4.2. Strengths and Contributions
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Enzinger, P.C.; Mayer, R.J. Esophageal cancer. N. Engl. J. Med. 2003, 349, 2241–2252. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Esophageal cancer: Epidemiology, pathogenesis and prevention. Nat. Clin. Pract. Gastroenterol. Hepatol. 2008, 5, 517–526. [CrossRef] [PubMed]
- Devesa, S.S.; Blot, W.J.; Fraumeni, J.F., Jr. Changing patterns in the incidence of esophageal and gastric carcinoma in the United States. Cancer 1998, 83, 2049–2053. [Google Scholar] [CrossRef]
- Crew, K.D.; Neugut, A.I. Epidemiology of upper gastrointestinal malignancies. Semin. Oncol. 2004, 31, 450–464. [Google Scholar] [CrossRef] [PubMed]
- Lu, C.L.; Lang, H.C.; Luo, J.C.; Liu, C.C.; Lin, H.C.; Chang, F.Y.; Lee, S.D. Increasing trend of the incidence of esophageal squamous cell carcinoma, but not adenocarcinoma, in Taiwan. Cancer Causes Control 2010, 21, 269–274. [Google Scholar] [CrossRef]
- Mackenbach, J.P.; Stirbu, I.; Roskam, A.J.; Schaap, M.M.; Menvielle, G.; Leinsalu, M.; Kunst, A.E.; European Union Working Group on Socioeconomic Inequalities in Health. Socioeconomic inequalities in health in 22 European countries. N. Engl. J. Med. 2008, 358, 2468–2481. [Google Scholar] [CrossRef] [Green Version]
- Marmot, M.; Friel, S.; Bell, R.; Houweling, T.A.; Taylor, S.; Commission on Social Determinants of Health. Closing the gap in a generation: Health equity through action on the social determinants of health. Lancet 2008, 372, 1661–1669. [Google Scholar] [CrossRef]
- Mackenbach, J.P. The persistence of health inequalities in modern welfare states: The explanation of a paradox. Soc. Sci. Med. 2012, 75, 761–769. [Google Scholar] [CrossRef]
- Hemminki, K.; Zhang, H.; Czene, K. Socioeconomic factors in cancer in Sweden. Int. J. Cancer 2003, 105, 692–700. [Google Scholar] [CrossRef]
- Wu, C.-C.; Lin, C.-H.; Chiang, H.-S.; Tang, M.-J. A population-based study of the influence of socioeconomic status on prostate cancer diagnosis in Taiwan. Int. J. Equity Health 2018, 17, 79. [Google Scholar] [CrossRef] [PubMed]
- Braveman, P.A.; Cubbin, C.; Egerter, S.; Chideya, S.; Marchi, K.S.; Metzler, M.; Posner, S. Socioeconomic status in health research: One size does not fit all. JAMA 2005, 294, 2879–2888. [Google Scholar] [CrossRef] [PubMed]
- Omran, A.R. The epidemiologic transition: A theory of the epidemiology of population change. 1971. Milbank Q. 2005, 83, 731–757. [Google Scholar] [CrossRef] [Green Version]
- Santosa, A.; Wall, S.; Fottrell, E.; Hogberg, U.; Byass, P. The development and experience of epidemiological transition theory over four decades: A systematic review. Glob. Health Action 2014, 7, 23574. [Google Scholar] [CrossRef] [PubMed]
- Bus, P.; Aarts, M.J.; Lemmens, V.E.; van Oijen, M.G.; Creemers, G.J.; Nieuwenhuijzen, G.A.; van Baal, J.W.; Siersema, P.D. The effect of socioeconomic status on staging and treatment decisions in esophageal cancer. J. Clin. Gastroenterol. 2012, 46, 833–839. [Google Scholar] [CrossRef]
- Jansson, C.; Johansson, A.L.; Nyren, O.; Lagergren, J. Socioeconomic factors and risk of esophageal adenocarcinoma: A nationwide Swedish case-control study. Cancer Epidemiol. Biomark. Prev. 2005, 14, 1754–1761. [Google Scholar] [CrossRef] [Green Version]
- Thein, H.H.; Anyiwe, K.; Jembere, N.; Yu, B.; De, P.; Earle, C.C. Effects of socioeconomic status on esophageal adenocarcinoma stage at diagnosis, receipt of treatment, and survival: A population-based cohort study. PLoS ONE 2017, 12, e0186350. [Google Scholar] [CrossRef] [Green Version]
- Islami, F.; Kamangar, F.; Nasrollahzadeh, D.; Aghcheli, K.; Sotoudeh, M.; Abedi-Ardekani, B.; Merat, S.; Nasseri-Moghaddam, S.; Semnani, S.; Sepehr, A.; et al. Socio-economic status and oesophageal cancer: Results from a population-based case-control study in a high-risk area. Int. J. Epidemiol. 2009, 38, 978–988. [Google Scholar] [CrossRef] [Green Version]
- Wang, N.; Cao, F.; Liu, F.; Jia, Y.; Wang, J.; Bao, C.; Wang, X.; Song, Q.; Tan, B.; Cheng, Y. The effect of socioeconomic status on health-care delay and treatment of esophageal cancer. J. Transl. Med. 2015, 13, 241. [Google Scholar] [CrossRef] [Green Version]
- Chen, M.F.; Yang, Y.H.; Lai, C.H.; Chen, P.C.; Chen, W.C. Outcome of patients with esophageal cancer: A nationwide analysis. Ann. Surg. Oncol. 2013, 20, 3023–3030. [Google Scholar] [CrossRef]
- Wu, C.C.; Chang, C.M.; Hsu, T.W.; Lee, C.H.; Chen, J.H.; Huang, C.Y.; Lee, C.C. The effect of individual and neighborhood socioeconomic status on esophageal cancer survival in working-age patients in Taiwan. Medicine 2016, 95, e4140. [Google Scholar] [CrossRef] [PubMed]
- Wu, T.Y.; Majeed, A.; Kuo, K.N. An overview of the healthcare system in Taiwan. Lond. J. Prim Care 2010, 3, 115–119. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kao, W.H.; Hong, J.H.; See, L.C.; Yu, H.P.; Hsu, J.T.; Chou, I.J.; Chou, W.C.; Chiou, M.J.; Wang, C.C.; Kuo, C.F. Validity of cancer diagnosis in the National Health Insurance database compared with the linked National Cancer Registry in Taiwan. Pharmacoepidemiol. Drug Saf. 2018, 27, 1060–1066. [Google Scholar] [CrossRef] [PubMed]
- Chiang, C.J.; You, S.L.; Chen, C.J.; Yang, Y.W.; Lo, W.C.; Lai, M.S. Quality assessment and improvement of nationwide cancer registration system in Taiwan: A review. Jpn. J. Clin. Oncol. 2015, 45, 291–296. [Google Scholar] [CrossRef]
- Torre, L.A.; Bray, F.; Siegel, R.L.; Ferlay, J.; Lortet-Tieulent, J.; Jemal, A. Global cancer statistics, 2012. CA Cancer J. Clin. 2015, 65, 87–108. [Google Scholar] [CrossRef] [Green Version]
- Castro, C.; Bosetti, C.; Malvezzi, M.; Bertuccio, P.; Levi, F.; Negri, E.; La Vecchia, C.; Lunet, N. Patterns and trends in esophageal cancer mortality and incidence in Europe (1980–2011) and predictions to 2015. Ann. Oncol. 2014, 25, 283–290. [Google Scholar] [CrossRef]
- Pennathur, A.; Gibson, M.K.; Jobe, B.A.; Luketich, J.D. Oesophageal carcinoma. Lancet 2013, 381, 400–412. [Google Scholar] [CrossRef] [Green Version]
- Pohl, H.; Sirovich, B.; Welch, H.G. Esophageal adenocarcinoma incidence: Are we reaching the peak? Cancer Epidemiol. Biomark. Prev. 2010, 19, 1468–1470. [Google Scholar] [CrossRef] [Green Version]
- Spechler, S.J. Barrett esophagus and risk of esophageal cancer: A clinical review. JAMA 2013, 310, 627–636. [Google Scholar] [CrossRef]
- Gomez, S.L.; Le, G.M.; Clarke, C.A.; Glaser, S.L.; France, A.M.; West, D.W. Cancer incidence patterns in Koreans in the US and in Kangwha, South Korea. Cancer Causes Control 2003, 14, 167–174. [Google Scholar] [CrossRef]
- Liang, H.; Fan, J.-H.; Qiao, Y.-L. Epidemiology, etiology, and prevention of esophageal squamous cell carcinoma in China. Cancer Biol. Med. 2017, 14, 33–41. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kitagawa, Y.; Uno, T.; Oyama, T.; Kato, K.; Kato, H.; Kawakubo, H.; Kawamura, O.; Kusano, M.; Kuwano, H.; Takeuchi, H.; et al. Esophageal cancer practice guidelines 2017 edited by the Japan Esophageal Society: Part 1. Esophagus 2019, 16, 1–24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Karamanou, M.; Markatos, K.; Papaioannou, T.G.; Zografos, G.; Androutsos, G. Hallmarks in history of esophageal carcinoma. J. BUON 2017, 22, 1088–1091. [Google Scholar] [PubMed]
- Wong, M.C.S.; Hamilton, W.; Whiteman, D.C.; Jiang, J.Y.; Qiao, Y.; Fung, F.D.H.; Wang, H.H.X.; Chiu, P.W.Y.; Ng, E.K.W.; Wu, J.C.Y.; et al. Global Incidence and mortality of oesophageal cancer and their correlation with socioeconomic indicators temporal patterns and trends in 41 countries. Sci. Rep. 2018, 8, 4522. [Google Scholar] [CrossRef]
- Liao, Y.; Chen, X.; Tang, J. Differences of cigarette smoking and alcohol consumption by sex and region in China: A population-based, multi-stage, cluster sampling survey. Lancet 2017, 390, S54. [Google Scholar] [CrossRef]
- Zhang, H.Z.; Jin, G.F.; Shen, H.B. Epidemiologic differences in esophageal cancer between Asian and Western populations. Chin. J. Cancer 2012, 31, 281–286. [Google Scholar] [CrossRef] [Green Version]
- Arnold, M.; Soerjomataram, I.; Ferlay, J.; Forman, D. Global incidence of oesophageal cancer by histological subtype in 2012. Gut 2015, 64, 381–387. [Google Scholar] [CrossRef] [Green Version]
- Abnet, C.C.; Arnold, M.; Wei, W.Q. Epidemiology of Esophageal Squamous Cell Carcinoma. Gastroenterology 2018, 154, 360–373. [Google Scholar] [CrossRef]
- Xie, S.H.; Lagergren, J. The Male Predominance in Esophageal Adenocarcinoma. Clin. Gastroenterol. Hepatol. 2016, 14, 338–347.e331. [Google Scholar] [CrossRef] [Green Version]
- Lee, C.H.; Lee, J.M.; Wu, D.C.; Hsu, H.K.; Kao, E.L.; Huang, H.L.; Wang, T.N.; Huang, M.C.; Wu, M.T. Independent and combined effects of alcohol intake, tobacco smoking and betel quid chewing on the risk of esophageal cancer in Taiwan. Int. J. Cancer 2005, 113, 475–482. [Google Scholar] [CrossRef]
- MOHW. Available online: https://www.mohw.gov.tw/dl-13430-ec859f62-a27c-444e-b452-00d417f55fa5.html (accessed on 7 March 2022).
- Minhhuyen Nguyen, M. Fox Chase Cancer Center, Temple University. Esophageal Cancer. Available online: https://www.msdmanuals.com/professional/gastrointestinal-disorders/tumors-of-the-gastrointestinal-tract/esophageal-cancer (accessed on 7 March 2022).
Variables | Total (n = 7763) | Squamous Cell Carcinoma (n = 7500) | Adenocarcinoma (n = 263) | |||
---|---|---|---|---|---|---|
Number | Percent (%) | Number | Percent (%) | Number | Percent (%) | |
Age, years | ||||||
40–49 | 2458 | (31.7) | 2409 | (32.1) | 49 | (18.6) |
50–59 | 2974 | (38.3) | 2889 | (38.5) | 85 | (32.3) |
60–69 | 1503 | (19.4) | 1439 | (19.2) | 64 | (24.3) |
70–79 | 828 | (10.7) | 763 | (10.2) | 65 | (24.7) |
Gender | ||||||
Female | 431 | (5.6) | 394 | (5.3) | 37 | (14.1) |
Male | 7332 | (94.4) | 7106 | (94.7) | 226 | (85.9) |
Occupation | ||||||
Labor (Industry) | 5004 | (64.5) | 4850 | (64.7) | 154 | (58.6) |
Enterprise employee (Private and business) | 2475 | (31.9) | 2381 | (31.7) | 94 | (35.7) |
Government employee (Public) | 284 | (3.7) | 269 | (3.6) | 15 | (5.7) |
Income, TWD | ||||||
17,281–21,000 | 4289 | (55.2) | 4154 | (55.4) | 135 | (51.3) |
21,001–31,800 | 1598 | (20.6) | 1555 | (20.7) | 43 | (16.3) |
>31,800 | 1876 | (24.2) | 1791 | (23.9) | 85 | (32.3) |
Squamous Cell Carcinoma | Adenocarcinoma | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Event | PY | Incident Rate | 95% CI | Event | PY | Incident Rate | 95% CI | |||
Occupation | ||||||||||
Labor (Industry) | 4850 | 244,39,015 | 19.85 | 19.29 | 20.41 | 154 | 24,421,822 | 0.63 | 0.53 | 0.74 |
Enterprise employee (Private and business) | 2381 | 19,622,489 | 12.13 | 11.65 | 12.63 | 94 | 19,614,037 | 0.48 | 0.39 | 0.59 |
Government employee (Public) | 269 | 3,508,761 | 7.67 | 6.78 | 8.64 | 15 | 3,507,855 | 0.43 | 0.24 | 0.71 |
Income, TWD | ||||||||||
17,281–21,000 | 4154 | 20,195,912 | 20.57 | 19.95 | 21.20 | 135 | 20,181,243 | 0.67 | 0.56 | 0.79 |
21,001–31,800 | 1555 | 10,043,646 | 15.48 | 14.72 | 16.27 | 43 | 10,037,993 | 0.43 | 0.31 | 0.58 |
>31,800 | 1791 | 17,330,708 | 10.33 | 9.86 | 10.82 | 85 | 17,324,478 | 0.49 | 0.39 | 0.61 |
Total | 7500 | 47,570,266 | 15.77 | 15.41 | 16.13 | 263 | 47,543,714 | 0.55 | 0.49 | 0.62 |
Variables | Squamous Cell Carcinoma (n = 6453) | Adenocarcinoma (n = 219) | ||
---|---|---|---|---|
Number | Percent (%) | Number | Percent (%) | |
Stage | ||||
0 | 58 | (0.9) | 0 | (0.0) |
1 | 344 | (5.3) | 22 | (10.0) |
2 | 1062 | (16.5) | 39 | (17.8) |
3 | 3132 | (48.5) | 71 | (32.4) |
4 | 1857 | (28.8) | 87 | (39.7) |
Variables | Squamous Cell Carcinoma | Adenocarcinoma | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Univariate Models | Full Model | Univariate Models | Full Model | |||||||||
HR | 95% CI | p-Value | HR | 95% CI | p-Value | HR | 95% CI | p-Value | HR | 95% CI | p-Value | |
Age, years | ||||||||||||
40–49 | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - |
50–59 | 1.52 | (1.44–1.61) | <0.001 | 1.47 | (1.39–1.55) | <0.001 | 2.20 | (1.55–3.13) | <0.001 | 2.18 | (1.53–3.1) | <0.001 |
60–69 | 1.66 | (1.55–1.77) | <0.001 | 1.44 | (1.35–1.54) | <0.001 | 3.62 | (2.5–5.26) | <0.001 | 3.50 | (2.4–5.1) | <0.001 |
70–79 | 1.33 | (1.23–1.45) | <0.001 | 1.18 | (1.08–1.28) | <0.001 | 5.60 | (3.86–8.11) | <0.001 | 5.69 | (3.89–8.33) | <0.001 |
Gender | ||||||||||||
female | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - |
male | 18.12 | (16.37–20.05) | <0.001 | 19.25 | (17.39–21.3) | <0.001 | 6.15 | (4.34–8.7) | <0.001 | 6.37 | (4.5–9.03) | <0.001 |
Occupation | ||||||||||||
Labor (Industry) | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - |
Enterprise employee (Private and business) | 0.61 | (0.58–0.64) | <0.001 | 0.76 | (0.72–0.81) | <0.001 | 0.76 | (0.59–0.98) | 0.035 | 0.91 | (0.64–1.31) | 0.626 |
Government employee (Public) | 0.39 | (0.34–0.44) | <0.001 | 0.58 | (0.51–0.67) | <0.001 | 0.68 | (0.4–1.15) | 0.150 | 0.78 | (0.42–1.45) | 0.429 |
Income, TWD | ||||||||||||
17,281–21,000 | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - |
21,001–31,800 | 0.75 | (0.71–0.8) | <0.001 | 0.91 | (0.86–0.97) | 0.005 | 0.64 | (0.45–0.9) | 0.011 | 0.93 | (0.63–1.36) | 0.694 |
>31,800 | 0.50 | (0.48–0.53) | <0.001 | 0.56 | (0.52–0.6) | <0.001 | 0.73 | (0.56–0.96) | 0.024 | 0.92 | (0.62–1.39) | 0.706 |
Variables | Squamous Cell Carcinoma | Adenocarcinoma | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Univariate Models | Full Model | Univariate Models | Full Model | |||||||||
OR | 95% CI | p-Value | OR | 95% CI | p-Value | OR | 95% CI | p-Value | OR | 95% CI | p-Value | |
Age, yrs | ||||||||||||
40–49 | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - |
50–59 | 1.05 | (0.91–1.2) | 0.539 | 1.07 | (0.93–1.24) | 0.327 | 1.52 | (0.65–3.54) | 0.335 | 1.65 | (0.69–3.95) | 0.259 |
60–69 | 0.88 | (0.75–1.04) | 0.142 | 0.90 | (0.76–1.06) | 0.197 | 2.65 | (0.99–7.09) | 0.053 | 2.68 | (0.98–7.33) | 0.055 |
70–79 | 0.80 | (0.66–0.98) | 0.032 | 0.86 | (0.7–1.05) | 0.143 | 0.97 | (0.4–2.33) | 0.945 | 0.81 | (0.32–2.04) | 0.653 |
Gender | ||||||||||||
female | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - |
male | 1.94 | (1.53–2.45) | <0.001 | 1.88 | (1.48–2.38) | <0.001 | 0.48 | (0.17–1.3) | 0.148 | 0.47 | (0.16–1.35) | 0.159 |
Occupation | ||||||||||||
Labor (Industry) | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - |
Enterprise employee (Private and business) | 0.97 | (0.86–1.1) | 0.659 | 1.07 | (0.91–1.26) | 0.395 | 0.98 | (0.53–1.82) | 0.954 | 1.61 | (0.67–3.86) | 0.291 |
Government employee (Public) | 0.97 | (0.71–1.33) | 0.851 | 1.19 | (0.84–1.68) | 0.335 | 0.63 | (0.14–2.76) | 0.538 | 1.29 | (0.22–7.39) | 0.775 |
Income, TWD | ||||||||||||
17,281–21,000 | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - | 1.00 | - | - |
21,001–31,800 | 0.99 | (0.85–1.15) | 0.904 | 0.94 | (0.8–1.1) | 0.443 | 0.84 | (0.36–1.95) | 0.679 | 0.57 | (0.22–1.49) | 0.252 |
>31,800 | 0.88 | (0.77–1.02) | 0.086 | 0.82 | (0.68–0.98) | 0.034 | 0.63 | (0.33–1.22) | 0.169 | 0.39 | (0.14–1.03) | 0.057 |
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Chen, H.-Y.; Chen, I.-C.; Chen, Y.-H.; Chen, C.-C.; Chuang, C.-Y.; Lin, C.-H. The Influence of Socioeconomic Status on Esophageal Cancer in Taiwan: A Population-Based Study. J. Pers. Med. 2022, 12, 595. https://doi.org/10.3390/jpm12040595
Chen H-Y, Chen I-C, Chen Y-H, Chen C-C, Chuang C-Y, Lin C-H. The Influence of Socioeconomic Status on Esophageal Cancer in Taiwan: A Population-Based Study. Journal of Personalized Medicine. 2022; 12(4):595. https://doi.org/10.3390/jpm12040595
Chicago/Turabian StyleChen, Hao-Yun, I-Chieh Chen, Yi-Huei Chen, Chi-Chang Chen, Cheng-Yen Chuang, and Ching-Heng Lin. 2022. "The Influence of Socioeconomic Status on Esophageal Cancer in Taiwan: A Population-Based Study" Journal of Personalized Medicine 12, no. 4: 595. https://doi.org/10.3390/jpm12040595
APA StyleChen, H. -Y., Chen, I. -C., Chen, Y. -H., Chen, C. -C., Chuang, C. -Y., & Lin, C. -H. (2022). The Influence of Socioeconomic Status on Esophageal Cancer in Taiwan: A Population-Based Study. Journal of Personalized Medicine, 12(4), 595. https://doi.org/10.3390/jpm12040595