Barriers to Low-Dose CT Lung Cancer Screening among Middle-Aged Chinese
Abstract
:1. Introduction
1.1. Barriers to LDCT Lung Cancer Screening
1.1.1. Cost Concerns
1.1.2. Access Challenges
1.1.3. Distrust in Providers
1.1.4. Fears of Disease
1.1.5. Lack of Knowledge
1.1.6. Optimistic Bias
2. Methods
2.1. Procedures and Participants
2.2. Measures
2.2.1. Cost Concerns
2.2.2. Access Challenge
2.2.3. Distrust in Hospitals
2.2.4. Distrust in Doctors
2.2.5. Fears of Disease
2.2.6. Lack of Knowledge
2.2.7. Optimistic Bias
2.2.8. Intention to Learn about and Have an LDCT Scan
2.3. Data Analysis
3. Results
4. Discussion
Limitations
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Chen, W.; Sun, K.; Zheng, R.; Zeng, H.; Zhang, S.; Xia, C.; Yang, Z.; Li, H.; Zou, X.; He, J. Cancer incidence and mortality in China, 2014. Chin. J. Cancer Res. 2018, 30, 1–12. [Google Scholar] [CrossRef] [PubMed]
- Chen, W.; Zheng, R.; Baade, P.D.; Zhang, S.; Zeng, H.; Bray, F.; Jemal, A.; Yu, X.Q.; He, J. Cancer statistics in China, 2015. CA A Cancer J. Clin. 2016, 66, 115–132. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Milken Institute. Financing Lung Cancer Screening in China; Milken Institute: Guangzhou, China, 2017. [Google Scholar]
- Zheng, R.; Sun, K.; Zhang, S.; Zeng, H.; Zou, X.; Chen, R.; Gu, X.; Wei, W.; Hao, J. Report of cancer epidemiology in China, 2015. Chin. J. Oncol. 2019, 41, 19–28. [Google Scholar]
- Chen, Z.M.; Peto, R.; Iona, A.; Guo, Y.; Chen, Y.P.; Bian, Z.; Yang, L.; Zhang, W.Y.; Lu, F.; Chen, J.S. Emerging tobacco-related cancer risks in C hina: A nationwide, prospective study of 0.5 million adults. Cancer 2015, 121, 3097–3106. [Google Scholar] [CrossRef]
- Zhang, J.; Chen, S.F.; Zhen, Y.; Xiang, J.; Wu, C.; Bao, P.; Luketich, J.; Hu, H.; Zhou, X.; Zhang, J. Multicenter analysis of lung cancer patients younger than 45 years in Shanghai. Cancer 2010, 116, 3656–3662. [Google Scholar] [CrossRef]
- Li, J.; Yang, F.; Li, X.; Zhang, M.; Fu, R.; Yin, X.; Wang, J. Characteristics, survival, and risk factors of Chinese young lung cancer patients: The experience from two institutions. Oncotarget 2017, 8, 89236. [Google Scholar] [CrossRef] [Green Version]
- Islami, F.; Chen, W.; Yu, X.; Lortet-Tieulent, J.; Zheng, R.; Flanders, W.; Xia, C.; Thun, M.; Gapstur, S.; Ezzati, M. Cancer deaths and cases attributable to lifestyle factors and infections in China, 2013. Ann. Oncol. 2017, 28, 2567–2574. [Google Scholar] [CrossRef]
- Cheng, Y.I.; Davies, M.P.; Liu, D.; Li, W.; Field, J.K. Implementation planning for lung cancer screening in China. Precis. Clin. Med. 2019, 2, 13–44. [Google Scholar] [CrossRef] [Green Version]
- Sisti, J.; Boffetta, P. What proportion of lung cancer in never-smokers can be attributed to known risk factors? Int. J. Cancer 2012, 131, 265–275. [Google Scholar] [CrossRef] [Green Version]
- Chen, G.; Sun, X.; Ren, H.; Wan, X.; Huang, H.; Ma, X.; Ning, B.; Zou, X.; Hu, W.; Yang, G. The mortality patterns of lung cancer between 1990 and 2013 in Xuanwei, China. Lung Cancer 2015, 90, 155–160. [Google Scholar] [CrossRef]
- Loomis, D.; Huang, W.; Chen, G. The International Agency for Research on Cancer (IARC) evaluation of the carcinogenicity of outdoor air pollution: Focus on China. Chin. J. Cancer 2014, 33, 189. [Google Scholar] [CrossRef] [PubMed]
- Tse, L.A.; Yu, I.T.-S.; Qiu, H.; Au, J.S.K.; Wang, X.-R. Occupational risks and lung cancer burden for Chinese men: A population-based case–referent study. Cancer Causes Control 2012, 23, 121–131. [Google Scholar] [CrossRef] [PubMed]
- Cao, J.; Yang, C.; Li, J.; Chen, R.; Chen, B.; Gu, D.; Kan, H. Association between long-term exposure to outdoor air pollution and mortality in China: A cohort study. J. Hazard. Mater. 2011, 186, 1594–1600. [Google Scholar] [CrossRef] [PubMed]
- Xinhua Net Shanghai’s per Capita Disposable Income Nears 59,000 Yuan, Highest in China. Available online: www.xinhuanet.com/english/2018-02/25/c_136999264.htm (accessed on 22 July 2020).
- Zhang, X.; Liu, S.; Liu, Y.; Du, J.; Fu, W.; Zhao, X.; Huang, W.; Zhao, X.; Liu, G.; Mao, Z.; et al. Economic burden for lung cancer survivors in urban China. Int. J. Environ. Res. Public Health 2017, 14, 308. [Google Scholar] [CrossRef] [Green Version]
- Si, L.; Chen, M.; Palmer, A.J. Has equity in government subsidy on healthcare improved in China? Evidence from the China’s National Health Services Survey. Int. J. Equity Health 2017, 16, 6. [Google Scholar] [CrossRef] [Green Version]
- Fan, Y.-G.; Liang, H.; Qiao, Y. Lung Cancer in Urban China. 2015. Cancer Control. Available online: http://www.cancercontrol.info/wp-content/uploads/2015/07/87-93-Qiao_cc2015.pdf (accessed on 30 July 2020).
- Tang, W.; Wu, N.; Huang, Y.; Wang, J.; Zhao, S.; Xu, Z.; Zhang, K.; Jiang, Y.; Cai, Q.; Zhou, L. Results of low-dose computed tomography (LDCT) screening for early lung cancer: Prevalence in 4690 asymptomatic participants. Chin. J. Oncol. 2014, 36, 549–555. [Google Scholar]
- Wei, K.-R.; Chen, W.-Q.; Zhang, S.-W.; Liang, Z.-H.; Zheng, R.-S.; Ou, Z.-X. Cancer registration in the peoples republic of China. Asian Pac. J. Cancer Prev. 2012, 13, 4209–4214. [Google Scholar] [CrossRef]
- Li, G.L.; Chen, W.Q. Representativeness of population-based cancer registration in China--comparison of urban and rural areas. Asian Pac. J. Cancer Prev. 2009, 10, 559–564. [Google Scholar]
- Li, J.; Shi, L.; Liang, H.; Ding, G.; Xu, L. Urban-rural disparities in health care utilization among Chinese adults from 1993 to 2011. BMC Health Serv. Res. 2018, 18, 102. [Google Scholar] [CrossRef] [Green Version]
- Meng, Q.; Xu, L.; Zhang, Y.; Qian, J.; Cai, M.; Xin, Y.; Gao, J.; Xu, K.; Boerma, J.T.; Barber, S.L. Trends in access to health services and financial protection in China between 2003 and 2011: A cross-sectional study. Lancet 2012, 379, 805–814. [Google Scholar] [CrossRef]
- Birring, S.S.; Peake, M.D. Symptoms and the early diagnosis of lung cancer. Thorax 2005, 60, 268–269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Luo, Y.-H.; Luo, L.; Wampfler, J.A.; Wang, Y.; Liu, D.; Chen, Y.-M.; Adjei, A.A.; Midthun, D.E.; Yang, P. 5-year overall survival in patients with lung cancer eligible or ineligible for screening according to US preventive services task force criteria: A prospective, observational cohort study. Lancet Oncol. 2019, 20, 1098–1108. [Google Scholar] [CrossRef] [Green Version]
- American Cancer Society Lung Cancer Survival Rates. Available online: https://www.cancer.org/cancer/lung-cancer/detection-diagnosis-staging/survival-rates.html (accessed on 30 July 2020).
- Becker, N.; Motsch, E.; Trotter, A.; Heussel, C.P.; Dienemann, H.; Schnabel, P.A.; Kauczor, H.U.; Maldonado, S.G.; Miller, A.B.; Kaaks, R. Lung cancer mortality reduction by LDCT screening—Results from the randomized German LUSI trial. Int. J. Cancer 2020, 146, 1503–1513. [Google Scholar] [CrossRef] [PubMed]
- National Lung Screening Trial Research Team. Reduced lung-cancer mortality with low-dose computed tomographic screening. N. Engl. J. Med. 2011, 365, 395–409. [Google Scholar] [CrossRef] [Green Version]
- Goffin, J.R.; Flanagan, W.M.; Miller, A.B.; Fitzgerald, N.R.; Memon, S.; Wolfson, M.C.; Evans, W.K. Biennial lung cancer screening in Canada with smoking cessation—Outcomes and cost-effectiveness. Lung Cancer 2016, 101, 98–103. [Google Scholar] [CrossRef]
- Rogers, R.W. Cognitive and physiological processes in fear appeals and attitude change: A revised theory of protection motivation. In Social Psychophysiology; Cacioppo, J., Petty, R., Eds.; Guilford Press: New York, NY, USA, 1983. [Google Scholar]
- Rogers, R.W. A protection motivation theory of fear appeals and attitude change. J. Psychol. 1975, 91, 93–114. [Google Scholar] [CrossRef]
- Prentice-Dunn, S.; McMath, B.F.; Cramer, R.J. Protection motivation theory and stages of change in sun protective behavior. J. Health Psychol. 2009, 14, 297–305. [Google Scholar] [CrossRef]
- Vadaparampil, S.T.; Jacobsen, P.B.; Kash, K.; Watson, I.S.; Saloup, R.; Pow-Sang, J. Factors predicting prostate specific antigen testing among first-degree relatives of prostate cancer patients. Cancer Epidemiol. Prev. Biomark. 2004, 13, 753–758. [Google Scholar]
- Inukai, S.; Ninomiya, K. Cognitive factors relating to mammographic breast cancer screening. [Nihon Koshu Eisei Zasshi] Jpn. J. Public Health 2010, 57, 796–806. [Google Scholar]
- Rahaei, Z.; Ghofranipour, F.; Morowatisharifabad, M.A.; Mohammadi, E. Determinants of cancer early detection behaviors: Application of protection motivation theory. Health Promot. Perspect. 2015, 5, 138. [Google Scholar] [CrossRef]
- Wang, G.X.; Baggett, T.P.; Pandharipande, P.V.; Park, E.R.; Percac-Lima, S.; Shepard, J.-A.O.; Fintelmann, F.J.; Flores, E.J. Barriers to lung cancer screening engagement from the patient and provider perspective. Radiology 2019, 290, 278–287. [Google Scholar] [CrossRef] [PubMed]
- Mishra, S.I.; Sussman, A.L.; Murrietta, A.M.; Getrich, C.M.; Rhyne, R.; Crowell, R.E.; Taylor, K.L.; Reifler, E.J.; Wescott, P.H.; Saeed, A.I. Peer reviewed: Patient perspectives on low-dose computed tomography for lung cancer screening, New Mexico, 2014. Prev. Chronic Dis. 2016, 13. [Google Scholar] [CrossRef] [PubMed]
- Ali, N.; Lifford, K.J.; Carter, B.; McRonald, F.; Yadegarfar, G.; Baldwin, D.R.; Weller, D.; Hansell, D.M.; Duffy, S.W.; Field, J.K. Barriers to uptake among high-risk individuals declining participation in lung cancer screening: A mixed methods analysis of the UK Lung Cancer Screening (UKLS) trial. BMJ Open 2015, 5. [Google Scholar] [CrossRef] [Green Version]
- Cooke, F.L.; Xiao, Q.; Xiao, M. Extending the frontier of research on (strategic) human resource management in China: A review of David Lepak and colleagues’ influence and future research direction. Int. J. Hum. Resour. Manag. 2020, 1–42. [Google Scholar] [CrossRef]
- Li, X.; Krumholz, H.M.; Yip, W.; Cheng, K.K.; De Maeseneer, J.; Meng, Q.; Mossialos, E.; Li, C.; Lu, J.; Su, M. Quality of primary health care in China: Challenges and recommendations. Lancet 2020, 395, 1802–1812. [Google Scholar] [CrossRef]
- Duckett, J.; Hunt, K.; Munro, N.; Sutton, M. Does distrust in providers affect health-care utilization in China? Health Policy Plan. 2016, 31, 1001–1009. [Google Scholar] [CrossRef]
- Quaife, S.L.; Marlow, L.A.; McEwen, A.; Janes, S.M.; Wardle, J. Attitudes towards lung cancer screening in socioeconomically deprived and heavy smoking communities: Informing screening communication. Health Expect. 2017, 20, 563–573. [Google Scholar] [CrossRef]
- Zhao, X.; Mao, Q.; Kreps, G.L.; Yu, G.; Li, Y.; Chou, S.W.-Y.; Perkosie, A.; Nie, X.; Xu, Z.; Song, M. Cancer information seekers in China: A preliminary profile. J. Health Commun. 2015, 20, 616–626. [Google Scholar] [CrossRef]
- Cho, H.; Lee, J.-S.; Lee, S. Optimistic bias about H1N1 flu: Testing the links between risk communication, optimistic bias, and self-protection behavior. Health Commun. 2013, 28, 146–158. [Google Scholar] [CrossRef]
- Masiero, M.; Lucchiari, C.; Pravettoni, G. Personal fable: Optimistic bias in cigarette smokers. Int. J. High Risk Behav. Addict. 2015, 4. [Google Scholar] [CrossRef] [Green Version]
- Popova, L.; Halpern-Felsher, B.L. A longitudinal study of adolescents’ optimistic bias about risks and benefits of cigarette smoking. Am. J. Health Behav. 2016, 40, 341–351. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kotrlik, J.; Higgins, C. Organizational research: Determining appropriate sample size in survey research appropriate sample size in survey research. Inf. Technol. Learn. Perform. J. 2001, 19, 43–50. [Google Scholar]
- Shea, J.A.; Micco, E.; Dean, L.T.; McMurphy, S.; Schwartz, J.S.; Armstrong, K. Development of a revised health care system distrust scale. J. Gen. Intern. Med. 2008, 23, 727–732. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- McKay, J.D.; Hung, R.J.; Gaborieau, V.; Boffetta, P.; Chabrier, A.; Byrnes, G.; Zaridze, D.; Mukeria, A.; Szeszenia-Dabrowska, N.; Lissowska, J. Lung cancer susceptibility locus at 5p15. 33. Nat. Genet. 2008, 40, 1404–1406. [Google Scholar] [CrossRef]
- Yamamoto, H.; Yatabe, Y.; Toyooka, S. Inherited lung cancer syndromes targeting never smokers. Transl. Lung Cancer Res. 2018, 7, 498–504. [Google Scholar] [CrossRef]
- Bayliss, E.A.; Ellis, J.L.; Steiner, J.F. Subjective assessments of comorbidity correlate with quality of life health outcomes: Initial validation of a comorbidity assessment instrument. Health Qual. Life Outcomes 2005, 3, 51. [Google Scholar] [CrossRef] [Green Version]
- Hair, J.F.; Black, W.C.; Babin, B.J.; Anderson, R.E. Multivariate Data Analysis, 7th ed.; Prentice Hall: Englewood Cliffs, NJ, USA, 2010. [Google Scholar]
- Zeliadt, S.B.; Hoffman, R.M.; Birkby, G.; Eberth, J.M.; Brenner, A.T.; Reuland, D.S.; Flocke, S.A. Challenges implementing lung cancer screening in federally qualified health centers. Am. J. Prev. Med. 2018, 54, 568–575. [Google Scholar] [CrossRef]
- Hoffman, R.; Sussman, A.; Getrich, C.; Rhyne, R.; Crowell, R.; Taylor, K.; Reifler, E.; Wescott, P.; Murrietta, A.; Saeed, A. Attitudes and beliefs of primary care providers in new mexico about lung cancer screening using low-dose computed tomography (vol 16, 150112e, 2019). Prev. Chronic Dis. 2019, 12, 108. [Google Scholar]
- Xiong, N.; Wong, S.W.; Ren, Y.; Shen, L. Regional disparity in urbanizing china: Empirical study of unbalanced development phenomenon of towns in southwest China. J. Urban Plan. Dev. 2020, 146, 5020013. [Google Scholar] [CrossRef]
- Chen, S. Chinese Young Adults Face a Premature Midlife Crises; Global Times: Beijing, China, 2017. [Google Scholar]
- Li, L.; Fu, H. China’s health care system reform: Progress and prospects. Int. J. Health Plan. Manag. 2017, 32, 240–253. [Google Scholar] [CrossRef]
- National Health Service NHS Survey Says Nine out of 10 Patients Have ‘Confidence and Trust’ in Their GP. Available online: https://www.england.nhs.uk/2019/07/nine-out-of-10-patients-have-confidence-and-trust-in-their-gp/ (accessed on 15 July 2020).
- Tucker, J.D.; Wong, B.; Nie, J.-B.; Kleinman, A. Rebuilding patient–physician trust in China. Lancet 2016, 388, 755. [Google Scholar] [CrossRef] [Green Version]
- Chan, C.S.C. Mistrust of physicians in China: Society, institution, and interaction as root causes. Dev. World Bioeth. 2018, 18, 16–25. [Google Scholar] [CrossRef] [PubMed]
- Wang, W.; Zhang, H.; Washburn, D.J.; Shi, H.; Chen, Y.; Lee, S.; Du, Y.; Maddock, J.E. Factors influencing trust towards physicians among patients from 12 hospitals in China. Am. J. Health Behav. 2018, 42, 19–30. [Google Scholar] [CrossRef] [PubMed]
- Cardarelli, R.; Roper, K.L.; Cardarelli, K.; Feltner, F.J.; Prater, S.; Ledford, K.M.; Justice, B.; Reese, D.R.; Wagner, P.; Cantrell, C. Identifying community perspectives for a lung cancer screening awareness campaign in appalachia kentucky: The Terminate Lung Cancer (TLC) study. J. Cancer Educ. 2017, 32, 125–134. [Google Scholar] [CrossRef] [Green Version]
- Carter-Harris, L.; Slaven, J.E., Jr.; Monahan, P.O.; Shedd-Steele, R.; Hanna, N.; Rawl, S.M. Understanding lung cancer screening behavior: Racial, gender, and geographic differences among Indiana long-term smokers. Prev. Med. Rep. 2018, 10, 49–54. [Google Scholar] [CrossRef]
- Simmons, V.N.; Gray, J.E.; Schabath, M.B.; Wilson, L.E.; Quinn, G.P. High-risk community and primary care providers knowledge about and barriers to low-dose computed topography lung cancer screening. Lung Cancer 2017, 106, 42–49. [Google Scholar] [CrossRef]
- Lapsley, D.K.; Hill, P.L. Subjective invulnerability, optimism bias and adjustment in emerging adulthood. J. Youth Adolesc. 2010, 39, 847–857. [Google Scholar] [CrossRef]
- White, M.S.; Addison, C.C.; Jenkins, B.W.C.; Bland, V.; Clark, A.; LaVigne, D.A. Optimistic bias, risk factors, and development of high blood pressure and obesity among African American adolescents in Mississippi (USA). Int. J. Environ. Res. Public Health 2017, 14, 209. [Google Scholar] [CrossRef] [Green Version]
- Cheng, H.-W.B.; Shek, P.-S.K.; Man, C.-W.; Chan, O.-M.; Chan, C.-H.; Lai, K.-M.; Cheng, S.-C.; Fung, K.-S.; Lui, W.; Lam, C. Dealing with death taboo: Discussion of do-not-resuscitate directives with Chinese patients with noncancer life-limiting illnesses. Am. J. Hosp. Palliat. Med. 2019, 36, 760–766. [Google Scholar] [CrossRef]
Variables | Mean/Percentage | SD | Min | Max |
---|---|---|---|---|
Control Variables | ||||
Gender (male) a | 56.67% | |||
Age | 48.02 | 5.07 | 40 | 60 |
Household income | 2.76 | 1.23 | 1 | 7 |
1 = Below 5000 RMB | 10.5% | |||
2 = 5001–12,000 RMB | 38.1% | |||
3 = 12,001–25,000 RMB | 30.8% | |||
4 = 25,001–35,000 RMB | 10.8% | |||
5 = 35,001–55,000 RMB | 6.7% | |||
6 = 55,001–80,000 RMB | 1.7% | |||
7 = Above 80,001 RMB | 1.4% | |||
Educational Attainment | 5.34 | 0.96 | 2 | 7 |
1 = No education experience | 0% | |||
2 = Elementary school | 0.6% | |||
3 = Middle school | 4.8% | |||
4 = High school | 11.6% | |||
5 = Associate degree | 30.8% | |||
6 = Bachelor degree | 46.9% | |||
7 = Graduate degree | 5.3% | |||
City Size | 3.73 | 1.10 | 1 | 5 |
1 = Villages | 1.7% | |||
2 = County-level/Township-level cities | 14.7% | |||
3 = Prefecture-level cities | 23.9% | |||
4 = Provincial capital cities | 28.7% | |||
5 = Beijing/Shanghai/Guangzhou/Shenzhen | 30.9% | |||
Current or former smokers a | 33.59% | |||
Family medical history a | 13.12% | |||
Health insurance coverage (yes) a | 95.47% | |||
Disease burden | 1.64 | 0.58 | 1 | 4.29 |
Variables | Mean | SD | Min | Max |
---|---|---|---|---|
Dependent variables | ||||
Intention to have LDCT | 3.02 | 1.20 | 1 | 5 |
Intention to learn about LDCT | 3.55 | 1.03 | 1 | 5 |
Independent variables | ||||
Cost concerns | 2.12 | 0.99 | 1 | 5 |
Access challenges | 2.06 | 1.10 | 1 | 5 |
Distrust in hospitals | 2.84 | 0.87 | 1 | 4.80 |
Distrust in doctors | 2.95 | 0.92 | 1 | 5 |
Fear of disease | 2.75 | 1.04 | 1 | 5 |
Lack of knowledge | 6.30 | 1.66 | 1.70 | 10 |
Optimistic bias | 0.48 | 1.12 | −3 | 4 |
Variables | Model1 a | VIF c | Model2 a | VIF | Model3 b | VIF | Model4 b | VIF |
---|---|---|---|---|---|---|---|---|
Main Effects | ||||||||
Cost concerns | −0.19 *** | 1.47 | −0.19 *** | 1.48 | −0.22 *** | 1.47 | −0.23 *** | 1.48 |
Access challenges | −0.06 | 1.44 | −0.06 | 1.49 | 0.00 | 1.44 | −0.01 | 1.49 |
Distrust in hospitals | −0.08 | 2.50 | −0.05 | 2.53 | 0.02 | 2.50 | 0.06 | 2.53 |
Distrust in doctors | 0.01 | 2.42 | −0.01 | 2.45 | −0.11 † | 2.42 | −0.13 * | 2.45 |
Fears of disease | −0.12 ** | 1.16 | −0.10 ** | 1.21 | −0.09 * | 1.16 | −0.07 † | 1.21 |
Lack of knowledge | −0.22 *** | 1.01 | −0.18 *** | 1.06 | −0.22 *** | 1.01 | −0.21 *** | 1.06 |
Optimistic bias | −0.12 ** | 1.01 | −0.08 * | 1.15 | −0.20 * | 1.01 | −0.18 *** | 1.15 |
Controls | ||||||||
Gender (male) | −0.06 | 1.39 | −0.03 | 1.39 | ||||
Age | 0.08 * | 1.07 | 0.06 † | 1.07 | ||||
Household income | 0.10 * | 1.35 | 0.07 † | 1.35 | ||||
Educational attainment | 0.10 ** | 1.20 | 0.07 † | 1.20 | ||||
City size | 0.00 | 1.24 | 0.07 † | 1.24 | ||||
Smoking history | 0.09 * | 1.48 | 0.02 | 1.48 | ||||
Family medical history | 0.06 | 1.07 | 0.02 | 1.07 | ||||
Insurance coverage | 0.06 † | 1.04 | 0.07 * | 1.04 | ||||
Disease burden | 0.08 * | 1.15 | 0.11 ** | 1.15 | ||||
Adjusted R Squared | 0.09 *** | 0.21 *** | 0.07 *** | 0.21 *** |
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Jia, Q.; Chen, H.; Chen, X.; Tang, Q. Barriers to Low-Dose CT Lung Cancer Screening among Middle-Aged Chinese. Int. J. Environ. Res. Public Health 2020, 17, 7107. https://doi.org/10.3390/ijerph17197107
Jia Q, Chen H, Chen X, Tang Q. Barriers to Low-Dose CT Lung Cancer Screening among Middle-Aged Chinese. International Journal of Environmental Research and Public Health. 2020; 17(19):7107. https://doi.org/10.3390/ijerph17197107
Chicago/Turabian StyleJia, Qike, Hongliang Chen, Xuewei Chen, and Qichuan Tang. 2020. "Barriers to Low-Dose CT Lung Cancer Screening among Middle-Aged Chinese" International Journal of Environmental Research and Public Health 17, no. 19: 7107. https://doi.org/10.3390/ijerph17197107
APA StyleJia, Q., Chen, H., Chen, X., & Tang, Q. (2020). Barriers to Low-Dose CT Lung Cancer Screening among Middle-Aged Chinese. International Journal of Environmental Research and Public Health, 17(19), 7107. https://doi.org/10.3390/ijerph17197107