| Literature DB >> 36250000 |
Dhiraj Panjwani1, Mithun Pai1, Shweta Yellapurkar2, Aayush Anand Poddar1, Gururagavendra Rajesh3.
Abstract
Background: Oral hygiene maintenance is a crucial and integral feature in determining the overall wellbeing of a person. It has been established that interventions for health promotion at the public health level derived from theoretical models based on social and behavioural sciences have a superior effectiveness as compared to the ones without a theoretical background. Hence a novel behavioral model known as the multi-theory model (MTM) was used to understand two important aspects of health behavior change: (i) Initiation and (ii) Sustenance in twice daily teeth brushing in a university setting with objectives to identify factors effecting MTM in initiation and sustenance of twice daily brushing behavior among students pursuing health sciences and correlating the MTM theory with socio-demographic and behavioral patterns.Entities:
Keywords: Behavioral Science; Health behavior; Multi theory model; Oral hygiene; Tooth brushing
Mesh:
Year: 2022 PMID: 36250000 PMCID: PMC9490284 DOI: 10.12688/f1000research.103077.2
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402
Hierarchical regression analysis of factors effecting twice daily brushing (dependent variable) and independent variables from demographic variables, multi theory model domains, personality inventory and sleeping habits.
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Change Statistics | P Value | |
|---|---|---|---|---|---|---|---|
| R Square Change | F Change | ||||||
| Behavioral Confidence | 0.358 | 0.128 | 0.124 | 0.432 | 0.128 | 33.277 | <0.001 |
| Behavioral Confidence, Academic | 0.404 | 0.163 | 0.156 | 0.424 | 0.035 | 9.574 | <0.001 |
| Behavioral Confidence, Academic, Sleeping habits | 0.427 | 0.183 | 0.172 | 0.420 | 0.019 | 5.299 | <0.001 |
The demographic data and its association to multi theory model (MTM) scores, Independent t test and one way analysis of variance is used according to the division of groups.
| n | Mean | SD | min | 25 | 75 | max | T | p value | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| MTM score | Course | Medical | 68 | 71.84 | 17.37 | 27 | 60 | 84 | 110 | -6.557 |
|
| Dental | 161 | 86.68 | 14.87 | 27 | 79 | 97 | 115 | ||||
| MTM score | Residence | Hostel | 185 | 81.72 | 16.73 | 27 | 73 | 93 | 114 | -0.996 | 0.320 |
| Residence | 44 | 84.57 | 18.26 | 27 | 71 | 98 | 115 | ||||
| MTM score | Work | Yes | 34 | 79.71 | 20.07 | 27 | 71 | 95 | 108 | -727 | 0.253 |
| NO | 195 | 82.72 | 16.5 | 27 | 72 | 94 | 115 | ||||
|
| |||||||||||
| MTM score | Academic | <50% | 7 | 71.43 | 28.21 | 27 | 47 | 93 | 108 | ||
| 50-60% | 17 | 78.59 | 19.32 | 49 | 62 | 93 | 110 | 1.049 | 0.383 | ||
| 61-70% | 73 | 82.84 | 16.23 | 27 | 71 | 95 | 115 | ||||
| 71-80% | 100 | 83.41 | 16.67 | 27 | 77 | 95 | 110 | ||||
| >80% | 32 | 81.75 | 15.73 | 53 | 67.5 | 91 | 114 | ||||
| Times brushing | I year | 65 | 3.28 | 3.029 | |||||||
| II year | 43 | 2.65 | 2.645 | 1.851 |
| ||||||
| III year | 59 | 3.95 | 3.126 | ||||||||
| IV year | 39 | 2.72 | 2.752 | ||||||||
| Interns | 23 | 3.87 | 2.943 | ||||||||
| MTM score | Year | I year | 65 | 82.58 | 19.22 | 27 | 74 | 95 | 115 | ||
| II year | 43 | 76.98 | 18.18 | 27 | 67 | 88 | 109 | ||||
| III year | 59 | 83.17 | 15.3 | 27 | 74 | 92 | 110 | 2.762 |
| ||
| IV year | 39 | 81.03 | 16.28 | 47 | 69 | 92 | 114 | ||||
| Interns | 23 | 91.09 | 9.13 | 75 | 84 | 99 | 108 | ||||
Min: minimum score, Max: Maximum score 25 and 75 are percentile distribution.
The demographic data and its association to brushing quartiles, independent t test and one way analysis of variance is used according to the division of groups.
| Count | Mean | Standard Deviation | Percentile 25 | Percentile 75 | t value | p value | ||
|---|---|---|---|---|---|---|---|---|
| Brushing quartiles | Medical | 68 | 1.9 | 1.24 | 1 | 3 | -3.363 |
|
| Dental | 161 | 2.52 | 1.28 | 1 | 4 | |||
| Brushing quartiles | Hostel | 185 | 2.3 | 1.29 | 1 | 4 | -0.802 | 0.792 |
| Residence | 44 | 2.48 | 1.32 | 1 | 4 | |||
| Brushing quartiles | Working | 34 | 2.18 | 1.38 | 1 | 4 | ||
| NON working | 195 | 2.36 | 1.28 | 1 | 4 | -0.744 | 0.325 | |
|
| ||||||||
| Brushing quartiles | <50% | 7 | 1.86 | 1.46 | 1 | 4 | ||
| 50-60% | 17 | 2.06 | 1.2 | 1 | 3 | |||
| 61-70% | 73 | 2.15 | 1.29 | 1 | 3 | 2.635 |
| |
| 71-80% | 100 | 2.48 | 1.29 | 1 | 4 | |||
| >80% | 32 | 2.56 | 1.32 | 1 | 4 | |||
| Brushing quartiles | I year | 65 | 2.32 | 1.32 | 1 | 4 | ||
| II year | 43 | 2.02 | 1.16 | 1 | 3 | |||
| III year | 59 | 2.64 | 1.34 | 1 | 4 | 2.147 | 0.076 | |
| IV year | 39 | 2.08 | 1.24 | 1 | 3 | |||
| Interns | 23 | 2.61 | 1.31 | 1 | 4 |
One-way analysis of variance was carried out to compare the effect of the (independent variable) number of times a participant brushes twice daily during the week on the (dependent variable) multi theory model scale.
| A: Dunnetts Post hoc test was done as variance was assumed equal(Levene test p=0.264). | ||||||
|---|---|---|---|---|---|---|
| Brushing quartiles | Sum of Squares | df | Mean Square | F | Sig. | |
| First quartile
| Between Groups | 11423.903 | 3 | 3807.968 | 15.669 | 0.000 |
| Within Groups | 54681.311 | 225 | 243.028 | |||
| Total | 66105.214 | 228 | ||||
The mean difference is significant at the 0.05 level.