TY - JOUR
T1 - Income or education, which has a stronger association with dental implant use in elderly people in Japan?
AU - Abbas, Hazem
AU - Aida, Jun
AU - Saito, Masashige
AU - Tsakos, Georgios
AU - Watt, Richard G.
AU - Koyama, Shigeto
AU - Kondo, Katsunori
AU - Osaka, Ken
N1 - Funding Information:
This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. The authors are grateful to the people who participated in this study. This study used data from the Japan Gerontological Evaluation Study (JAGES), which was supported by the JSPS (Japan Society for the Promotion of Science), KAKENHI (Grant Numbers JP15H01972, 15H04781 and 16H05556), Health Labour Sciences Research Grants (H28-Choju-Ippan-002), the Research and Development Grants for Longevity Science from Japan Agency for Medical Research and Development (AMED), Personal Health Record (PHR) Utilization Project from AMED, the Research Funding for Longevity Sciences from National Center for Geriatrics and Gerontology(29-42), and the World Health Organization Centre for Health Development (WHO Kobe Centre) (WHO APW 2017/713981).
Publisher Copyright:
© 2019 FDI World Dental Federation
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Objectives: Although inequalities in dental implant use based on educational level have been reported, no study has used income as a proxy for the socioeconomic status. We examined: (i) income inequalities in implant use; and (ii) whether income or education has a stronger association with implant use in elder Japanese. Methods: In 2016, a self-reported questionnaire was mailed to participants aged 65 years or older living across Japan as part of the ongoing Japan Gerontological Evaluation Study. We used data from 84,718 respondents having 19 or fewer teeth. After multiple imputation, multi-level logistic regression estimated the association of dental implant use with equivalised income level and years of formal education. Confounders were age, sex, and density of dental clinics in the residential area. Results: 3.1% of respondents had dental implants. Percentages of dental implant use among the lowest (≤ 9 years) and highest (≥ 13 years) educational groups were 1.8 and 5.1, respectively, and among the lowest (0 < 12.2 ‘1,000 USD/year’) and highest (≥ 59.4 ‘1,000 USD/year’) income groups were 1.7 and 10.4, respectively. A fully adjusted model revealed that both income and education were independently associated with dental implant use. Odds ratios for implant use in the highest education and income groups were 2.13 [95% CI = 1.94–2.35] and 4.85 [95% CI = 3.78–6.22] compared with the lowest education and income groups, respectively. From a model with standardised variables, income showed slightly stronger association than education. Conclusion: This study reveals a public health problem that even those with the highest education but low income might have limited accessibility to dental implant services.
AB - Objectives: Although inequalities in dental implant use based on educational level have been reported, no study has used income as a proxy for the socioeconomic status. We examined: (i) income inequalities in implant use; and (ii) whether income or education has a stronger association with implant use in elder Japanese. Methods: In 2016, a self-reported questionnaire was mailed to participants aged 65 years or older living across Japan as part of the ongoing Japan Gerontological Evaluation Study. We used data from 84,718 respondents having 19 or fewer teeth. After multiple imputation, multi-level logistic regression estimated the association of dental implant use with equivalised income level and years of formal education. Confounders were age, sex, and density of dental clinics in the residential area. Results: 3.1% of respondents had dental implants. Percentages of dental implant use among the lowest (≤ 9 years) and highest (≥ 13 years) educational groups were 1.8 and 5.1, respectively, and among the lowest (0 < 12.2 ‘1,000 USD/year’) and highest (≥ 59.4 ‘1,000 USD/year’) income groups were 1.7 and 10.4, respectively. A fully adjusted model revealed that both income and education were independently associated with dental implant use. Odds ratios for implant use in the highest education and income groups were 2.13 [95% CI = 1.94–2.35] and 4.85 [95% CI = 3.78–6.22] compared with the lowest education and income groups, respectively. From a model with standardised variables, income showed slightly stronger association than education. Conclusion: This study reveals a public health problem that even those with the highest education but low income might have limited accessibility to dental implant services.
KW - Dental implant(s)
KW - access to care
KW - dental public health
KW - dental services research
KW - epidemiology
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U2 - 10.1111/idj.12491
DO - 10.1111/idj.12491
M3 - Article
C2 - 31250446
AN - SCOPUS:85068163042
SN - 0020-6539
VL - 69
SP - 454
EP - 462
JO - International Dental Journal
JF - International Dental Journal
IS - 6
ER -