| Literature DB >> 35866133 |
Jin-Sun Choi1, Bo-Mi Shin1, Deok-Young Park2, Gun-Young Park3, Yong-Keum Choi4.
Abstract
Background: We examined the Korean adults' experience with dental implants and analyzed its association with various socioeconomic factors.Entities:
Keywords: Dental implant; Socioeconomic factors; South Korea
Year: 2022 PMID: 35866133 PMCID: PMC9273480 DOI: 10.18502/ijph.v51i2.8684
Source DB: PubMed Journal: Iran J Public Health ISSN: 2251-6085 Impact factor: 1.479
The distribution of subjects who have experienced dental implant in 2013∼2015 year
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| 4,893 | 524 | 9.9 | 4,431 | 601 | 12.2 | 4,430 | 679 | 13.3 | |||||||||||||||
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| Male | 2,069 | 251 | 11.0 |
| 1,827 | 258 | 12.8 | 1,912 | 291 | 12.7 | ||||||||||||||
| Female | 2,824 | 273 | 8.8 | 2,604 | 343 | 11.7 | 2,518 | 388 | 13.9 | |||||||||||||||
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| 20∼39age | 1,440 | 76 | 5.1 |
| 1,225 | 78 | 6.4 |
| 1,110 | 66 | 5.6 |
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| 40∼59age | 1,909 | 219 | 11.3 | 1,647 | 225 | 13.5 | 1,723 | 268 | 15.7 | |||||||||||||||
| 60∼79+age | 1,544 | 229 | 15.5 | 1,559 | 298 | 19.9 | 1,597 | 345 | 21.0 | |||||||||||||||
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| City | 3,914 | 415 | 9.7 | 3,600 | 499 | 12.5 | 3,590 | 555 | 13.3 | |||||||||||||||
| Rural | 979 | 109 | 10.4 | 831 | 102 | 10.8 | 840 | 124 | 13.3 | |||||||||||||||
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| ≤Middle school | 1,679 | 188 | 11.0 | 1,557 | 217 | 13.9 |
| 1,545 | 262 | 16.2 |
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| High school | 1,670 | 172 | 9.3 | 1,429 | 216 | 12.6 | 1,416 | 222 | 13.0 | |||||||||||||||
| ≥College | 1,544 | 164 | 9.6 | 1,445 | 168 | 10.8 | 1,469 | 195 | 11.6 | |||||||||||||||
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| Low | 962 | 82 | 8.7 |
| 826 | 78 | 8.7 |
| 819 | 105 | 11.9 | |||||||||||||
| Low-Middle | 1,278 | 117 | 8.1 | 1,123 | 146 | 10.8 | 1,080 | 149 | 12.3 | |||||||||||||||
| Middle-High | 1,264 | 134 | 9.0 | 1,272 | 185 | 13.0 | 1,215 | 197 | 13.0 | |||||||||||||||
| High | 1,389 | 191 | 12.8 | 1,210 | 192 | 14.3 | 1,316 | 228 | 14.9 | |||||||||||||||
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| Married | 4,201 | 487 | 11.1 |
| 3,836 | 582 | 14.5 |
| 3,778 | 642 | 15.7 |
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| Unmarried | 692 | 37 | 5.1 | 595 | 19 | 3.4 | 652 | 37 | 4.5 | |||||||||||||||
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| National health insurance | 4,727 | 520 | 10.1 |
| 4,275 | 593 | 12.4 | 4,261 | 670 | 13.6 |
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| National medical care | 166 | 4 | 2.7 | 156 | 8 | 5.8 | 169 | 9 | 4.9 | |||||||||||||||
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| Yes | 3,626 | 396 | 9.7 | 3,261 | 456 | 12.8 | 3,317 | 521 | 13.6 | |||||||||||||||
| No | 1,267 | 128 | 10.4 | 1,170 | 145 | 9.9 | 1,113 | 158 | 12.3 | |||||||||||||||
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| Manager, professional workers | 607 | 70 | 10.5 | 581 | 58 | 9.5 | 602 | 73 | 10.0 |
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| Administrative workers | 455 | 42 | 10.1 | 404 | 49 | 10.9 | 425 | 65 | 12.9 | |||||||||||||||
| Service and sales workers | 640 | 72 | 10.5 | 542 | 75 | 12.3 | 525 | 68 | 11.9 | |||||||||||||||
| Workers in agriculture, fishery, and forestry | 214 | 31 | 13.5 | 244 | 35 | 14.2 | 240 | 46 | 18.5 | |||||||||||||||
| Workers in machine-handling skills | 485 | 55 | 11.1 | 412 | 51 | 11.9 | 425 | 67 | 14.6 | |||||||||||||||
| Labor workers | 453 | 37 | 8.0 | 385 | 57 | 14.4 | 408 | 58 | 11.9 | |||||||||||||||
| Homemaker/Inoccupation | 2,039 | 217 | 9.0 | 1,863 | 276 | 13.2 | 1,805 | 302 | 14.7 | |||||||||||||||
P<0.05,
P<0.01,
P<0.001,
Weighted value
Odds ratios of dental implant treatment experience among groups categorized by socio-economic factors
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| 20∼39age | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
| 40∼59age | 2.476(1.631–3.759)
| 1.532(1.096–2.142)
| 2.582(1.766–3.776)
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| 60∼79+age | 5.136(3.217–8.199)
| 3.603(2.499–5.195)
| 4.737(3.099–7.240)
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| ≤Middle school | 0.692(0.496–0.966)
| 0.889(0.638–1.240) | 0.819(0.601–1.116) |
| High school | 0.889(0.675–1.170) | 1.203(0.911–1.590) | 1.021(0.793–1.316) |
| ≥College | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
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| Low | 0.500(0.339–0.738)
| 0.343(0.227–0.518)
| 0.557(0.396–0.783)
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| Low-Middle | 0.572(0.426–0.769)
| 0.592(0.436–0.803)
| 0.696(0.520–0.932)
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| Middle-High | 0.678(0.516–0.892)
| 0.838(0.640–1.096) | 0.871(0.672–1.128) |
| High | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
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| Married | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
| Unmarried | 0.879(0.524–1.472) | 0.310(0.175–0.547)
| 0.550(0.342–0.884)
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P<0.05,
P<0.01,
P<0.001,
Adjusted for Gender, Age, Education level, Income level, Marital status, National health insurance status