Factors Related to the Intention to Use Dental Care by Industrial Workers Due to COVID-19: Application of Anderson Model and Planned Behavior Theory
Abstract
:1. Introduction
2. Literature Review
2.1. AM and SAVE-6
2.1.1. PF
2.1.2. EF
2.1.3. NF
2.1.4. SAVE-6
2.2. The TPB Model
3. Materials and Methods
3.1. Study Design and Ethical Consideration
3.2. Participants and Data Collection
- workers currently employed in the industry;
- those able to complete the questionnaire after fully understanding the study‘s intention and purpose; and
- voluntarily providing consent to participate.
3.3. Variables
3.3.1. Control Variables Based on the AM
3.3.2. Use of Dental Care Based on the TPB
3.3.3. SAVE-6
3.4. Statistical Analysis
4. Results
4.1. Intention of Dental Care Use According to the Socio-Economic Characteristics Based on the AM
4.2. Descriptive Statistics on Factors Associated with Dental Care Use and SAVE-6 Based on the TPB
4.3. Correlation between the Intention to Use Dental Care, Attitude, Subjective Norm, Perceived Behavior Control for Dental Care Use, and SAVE-6
4.4. Relevant Factors Affecting Intention to Use Dental Care
5. Discussion
5.1. Theoretical and Practical Implications
5.2. Limitations and Future Research
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Factors | Variables | Division | n (%) | Mean ± SD | t or F (p-Value) |
---|---|---|---|---|---|
PF | Sex | Male | 167 (55.5) | 3.82 ± 0.86 | 0.717 (0.474) |
Female | 134 (44.5) | 3.74 ± 0.94 | |||
Age (y) | 19–29 | 198 (66.2) | 3.77 ± 0.89 | −0.736 (0.462) | |
30–65 | 101 (33.8) | 3.85 ± 0.90 | |||
Marital status | Married | 81 (26.6) | 3.73 ± 0.93 | 0.753 (0.472) | |
Single | 211 (70.1) | 3.79 ± 0.89 | |||
Others | 9 (3.0) | 4.11 ± 0.73 | |||
Education level | College or less | 162 (54.0) | 3.61 ± 0.88 | −3.566 (<0.001) | |
University or higher | 138 (46.0) | 3.98 ± 0.88 | |||
EF | Job | Productive | 52 (17.4) | 3.70 ± 0.94 | 1.417 (0.238) |
Office | 118 (39.4) | 3.88 ± 0.89 | |||
Research | 20 (6.7) | 3.96 ± 0.95 | |||
Others | 109 (36.5) | 3.68 ± 0.88 | |||
Private insurance | 0 | 195 (65.0) | 3.80 ± 0.92 | 1.739 (0.159) | |
1 | 89 (29.7) | 3.81 ± 0.87 | |||
2 | 12 (4.0) | 3.25 ± 0.76 | |||
≥3 | 4 (1.3) | 4.19 ± 0.55 | |||
Monthly income (10,000 won) | <200 | 33 (11.0) | 3.76 ± 0.89 | 0.968 (0.437) | |
200–250 | 81 (27.0) | 3.66 ± 0.92 | |||
>250–300 | 62 (20.7) | 3.83 ± 0.84 | |||
>300–350 | 55 (18.3) | 3.72 ± 0.93 | |||
>350–400 | 27 (9.0) | 4.03 ± 0.79 | |||
>400 | 42 (14.0) | 3.91 ± 0.94 | |||
Career (y) | 1–5 | 202 (67.1) | 3.79 ± 0.87 | 0.094 (0.910) | |
6–10 | 62 (20.6) | 3.74 ± 1.03 | |||
>10 | 37 (12.3) | 3.79 ± 0.80 | |||
DVE in COVID-19 situation | Yes | 175 (58.5) | 4.14 ± 0.72 | 8.976 (<0.001) | |
No | 124 (41.5) | 3.30 ± 0.89 | |||
NF | Perceived oral health | Not at all | 11 (3.7) | 3.55 ± 1.11 | 1.108 (0.353) |
Disagree | 52 (17.3) | 3.78 ± 0.83 | |||
Neutral | 156 (52.0) | 3.98 ± 0.92 | |||
Agree | 59 (19.7) | 3.73 ± 0.80 | |||
Strongly agree | 22 (7.3) | 4.14 ± 0.96 | |||
Oral pain experience | Very low | 19 (6.3) | 3.51 ± 1.06 | 2.128 (0.077) | |
Low | 93 (30.9) | 3.69 ± 0.86 | |||
Moderate | 83 (27.6) | 3.70 ± 0.84 | |||
High | 95 (31.6) | 3.98 ± 0.83 | |||
Very high | 11 (3.6) | 3.93 ± 1.55 | |||
Gingival bleeding | Very low | 35 (11.6) | 3.85 ± 0.95 a | 5.388 (<0.001) a < b | |
Disagree | 91 (30.2) | 3.64 ± 0.87 a | |||
Moderate | 75 (24.9) | 3.59 ± 0.83 a | |||
High | 84 (27.9) | 3.92 ± 0.92 a | |||
Very high | 16 (5.3) | 4.58 ± 0.62 b |
Variables | Min | Max | Mean ± SD | Cronbach’s α |
---|---|---|---|---|
Intention to use DC | 1.00 | 5.00 | 3.78 ± 0.90 | 0.881 |
Dental care use based on PBT | ||||
Attitude | 1.00 | 5.00 | 3.84 ± 0.87 | 0.964 |
Subjective norm | 1.00 | 5.00 | 3.75 ± 0.81 | 0.704 |
Perceived behavior control | 1.00 | 5.00 | 4.35 ± 0.69 | 0.791 |
SAVE-6 | 1.00 | 5.00 | 3.07 ± 0.85 | 0.835 |
Variables | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
Intention to use dental care | 1 | ||||
Attitude toward dental care use | 0.769 ** | 1 | |||
Subjective norm for dental care use | 0.338 ** | 0.223 ** | 1 | ||
Perceived behavior control for dental care use | 0.544 ** | 0.556 ** | 0.270 ** | 1 | |
SAVE-6 | −0.183 ** | −0.135 * | −0.011 | −0.115 * | 1 |
Factor | Variables | Model 1 | Model 2 | Model 3 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
β | t | p-Value | β | t | p-Value | β | t | p-Value | |||
AM | PF | University or higher (Reference = College or less) | 0.104 | 1.990 | 0.048 | 0.106 | 2.056 | 0.041 | 0.026 | 0.791 | 0.430 |
EF | DVE after COVID-19 (reference = non-experienced) | 0.431 | 8.173 | <0.001 | 0.421 | 8.084 | <0.001 | 0.237 | 6.916 | <0.001 | |
NF | Gingival bleeding | 0.092 | 1.780 | 0.076 | 0.095 | 1.872 | 0.062 | 0.071 | 2.199 | 0.029 | |
SAVE-6 | −0.158 | −3.130 | 0.002 | −0.073 | −2.254 | 0.025 | |||||
Attitudes for dental care use | 0.598 | 15.236 | <0.001 | ||||||||
TPB | Subjective norms for dental care use | 0.125 | 3.738 | <0.001 | |||||||
Perceived behavioral control for dental care use | 0.114 | 2.940 | 0.004 | ||||||||
F (p-Value) | 30.135 (<0.001) | 25.727 (<0.001) | 99.907 (<0.001) | ||||||||
R2 | 0.235 | 0.260 | 0.707 | ||||||||
Adj. R2 | 0.227 | 0.250 | 0.700 |
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Eun, H.-R.; Park, J.-T.; Jang, J.-H. Factors Related to the Intention to Use Dental Care by Industrial Workers Due to COVID-19: Application of Anderson Model and Planned Behavior Theory. Int. J. Environ. Res. Public Health 2022, 19, 12883. https://doi.org/10.3390/ijerph191912883
Eun H-R, Park J-T, Jang J-H. Factors Related to the Intention to Use Dental Care by Industrial Workers Due to COVID-19: Application of Anderson Model and Planned Behavior Theory. International Journal of Environmental Research and Public Health. 2022; 19(19):12883. https://doi.org/10.3390/ijerph191912883
Chicago/Turabian StyleEun, Hye-Ran, Jong-Tae Park, and Jong-Hwa Jang. 2022. "Factors Related to the Intention to Use Dental Care by Industrial Workers Due to COVID-19: Application of Anderson Model and Planned Behavior Theory" International Journal of Environmental Research and Public Health 19, no. 19: 12883. https://doi.org/10.3390/ijerph191912883