| Literature DB >> 34013186 |
Prasad Mandava1, Gowri Sankar Singaraju1, Sobitha Obili1, Venkatesh Nettam1, Sasipriya Vatturu1, Seshu Erugu1.
Abstract
OBJECTIVE: The treatment protocol in the modern health care paradigm has shifted considerably towards enhancing the quality of life in the last decade. This is particularly important in cosmetic and elective treatments, and hence the interest in oral health-related quality of life (OHRQoL) also has increased. OHRQoL always been measured by endogenous, functional, social, or psychological determinants. Self-esteem (SE) is one of the internal factors that affect the perception of malocclusion and hence OHRQoL before and after treatment. The purpose of this review is to assess whether there exists any correlation between the Oral Health-Related Quality of Life, Self-esteem (SE) in patients following orthodontic treatment.Entities:
Keywords: aesthetics; oral health-related quality of life; orthodontic treatment; perception; self-esteem
Year: 2021 PMID: 34013186 PMCID: PMC8118222 DOI: 10.15386/mpr-1843
Source DB: PubMed Journal: Med Pharm Rep ISSN: 2602-0807
Selection criteria applied for this review - PICO-S format.
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| 1. The main outcome was to measure the OHRQoL and Self-esteem after orthodontic treatment and |
| 2. The secondary outcome was to assess the co-relation between OHRQoL and SE after orthodontic treatment. |
| The OHRQoL was determined using a validated measures such as the Child Perception Questionnaire (CPQ), Oral impact on daily performance (OIDP), Oral health impact profile (OHIP) and Psychosocial Impact of Dental Aesthetic Questionnaire (PIDAQ). |
| Self-esteem was measured using the Rosenberg scale, the Dutch adaptation of the Harter’s Self-Perception Profile and the Global Negative Self-evaluation. |
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Figure 1PRISMA flow chart of the included studies.
Details of the studies analyzed in the Review.
| S.No | Author and year/ Country | Participants details |
Study design/ Type of orthodontic treatment Questionnaire/Instrument |
|---|---|---|---|
| N (losses), % Sex (n), Mean age (SD), Age range | |||
| 1 | De oliveria [ | n=1675(-); 56.8% Female (F) (951), 43.2% Male (M) (724);15–16 years |
CSS, FOA OIDP and OHIP-14 |
| 2 | Taylor [ | pre comprehensive group (PC) (n = 93) F-45, M- 48; Mean age =12.5 (61.1). |
CSS FOA CPQ11–14 |
| 3 | Chen [ | n=28 (-), 66.6% F (148), 33.3% M (74), 15.7 years. |
Cohort, FOA, OHIP-14 |
| 4 | Agou [ | n=199 (81), 50% M (59), 50% F(59), 12.9 (±0.98) years at T1,11–14 years. |
C-C, FOA, CPQ 11–14 |
| 5 | Navabi [ | n=302 (-),case group- 150, control Group-152; F (62.25%), M(37.75%); mean age -21.71±3.49 years. |
CSS FOA OHIP-14 |
| 6 | Nathalia B. Palomares [ | n=200 (-), M-63 men, F-137; Mean age of 22.3 years; Divided into 2 groups- treated n=200 and non-treated n=200 in each group: |
CSS FOA OHIP |
| 7 | Feu [ | Treatment (ttm) group- |
Cohort FOA OHIP-14 |
| 8 | Jang-Mi Kang [ | n=860 (-), M-378, F-482; Mean age- 25.92 ± 5.30 years. |
CSS, FOA, OHIP-14 and PIDAQ |
| 9 | Yu Zhou [ | n=150 (-), M-58, F-92; Mean age of 15.6 ± 1.8 years. Divided in to two groups, self-ligating (n=75) and conventional bracket. (n=75) |
Cohort, FOA, OHIP-14 |
| 10 | Chen [ | n=190 (30), M -81,F-109; Mean age of, 20.8 (±2.5)years. |
Cohort, FOA, OHIP-14 |
| 11 | Zheng [ | Angle class I group |
Cohort FOA OHIP-14 |
| 12 | Abdolreza Jamilian [ | n=100 (-); Div- Experimental group-50, control group- 50; Age range of 17 to 21 years |
Cohort, FOA, OHIP-14 |
| 13 | Kolenda [ | n=57 (-), M -37, F -30; Age range 20–57 years. |
Cohort FOA OHIP-G14 |
| 14 | Healey [ | Start of treatment: |
Cohort FOA CPQ 11–14 |
| 15 | Emad EM Alzoubi [ | Fixed appliance |
RCT FOA/ROA (functional) OHIP-16 |
| 16 | Miamoto [ | Total n=30 (-): |
RCT ROA CPQ8–10 |
| 17 | Pithon [ | n=80 (-), M -19, F-21; Age range 8–10 years/ |
RCT FOA CPQ8–10 |
| 18 | Demirovic [ | n=178 (-); Mean age -range 22.71 years; experimental group n= 90, control group n= 88 untreated subjects. |
C-C FOA OHIP-14 |
| 19 | Arrow [ | Orthodontically treated (n= 155); Non orthodontically treated (n= 286); Age approximately 30 years. |
Cohort FOA OHIP-14 and Rosenberg Scale |
| 20 | Seehra [ | n=27 (16) |
Cohort FOA, functional and retainers CPQ 11–14 and Harter’s Self Perception Profile |
| 21 | Brosens [ | n=27 (16) |
Cohort FOA CPQ and Harter’s Self-Perception Profile. |
| 22 | Johal [ | n=61 (1), the mean age of 41.2 years |
Cohort FOA Rosenberg Self-esteem scale, OHIP-14 |
| 23 | Benson [ | Group I |
Cohort FOA CPQ11–14 and CHQ-CF87 |
| 24 | Choi [ | n=66(-), M-20, F-36; Mean age - 24.2 ± 5.2 years. |
CSS FOA Rosenberg self-esteem scale and OHIP-14 |
| 25 | Jaeken [ | n=497(173), M-239,F-259; Mean age - 12.7 years. |
Cohort FOA CPQ11–14, Harter’s Self-Perception Profile. |
| 26 | Jung [ | Total n=4509 (-), |
Cohort FOA Rosenberg’s scale |
| Romero [ | n=170 (-), M-70, F-100; Mean age - 29.80 -+9.55 years |
CSS FOA Rosenberg’s scale. | |
| Avontroodt [ | n=326 (-), M-154,F-172; Mean age - 13.1 |
Cohort FOA Dutch adaptation of the Harter’s test and treatment Need. | |
Participant characterstics - Male (M), Female (F); Instrument/Questionnaire- Child Perception Questionnaire (CPQ), Oral health impact profile (OHIP) Oral impact on daily performance (OIDP), Psychosocial Impact of Dental Aesthetic Questionnaire (PIDAQ); Type of study- Cross sectional study (CSS), prospective cohort studies (Cohort), case control study (C-C), Randomized control trial (RCT);Type of Appliance - Fixed orthodontic appliance (FOA), Removable Appliance (ROA), Debonding (DB).
Quality assessment for non-randomized studies: Modified Newcastle Ottawa scale.
| S. no | Author (year) | Selection (****) | Comparability (**) | Outcome (***) | Total score | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5a | 5b | 1 | 2 | 3 | |||
| 1 | De oliveria [ | * | * | * | * | * | * | * | 7 | ||
| 2 | Taylor et al [ | * | * | * | * | * | * | * | 7 | ||
| 3 | Chen [ | * | * | * | * | * | 6 | ||||
| 4 | Agou [ | * | * | * | * | * | * | * | 7 | ||
| 5 | Navabi [ | * | * | * | * | * | * | * | 7 | ||
| 6 | Palomares [ | * | * | * | * | * | * | * | 7 | ||
| 7 | Feu [ | * | * | * | * | * | * | * | 7 | ||
| 8 | Jang-Mi Kang [ | * | * | * | * | * | * | 6 | |||
| 9 | Yu Zhou [ | * | * | * | * | 4 | |||||
| 10 | Chen [ | * | * | * | * | * | * | * | 7 | ||
| 11 | Zheng [ | * | * | * | * | * | * | * | 7 | ||
| 12 | Abdolreza Jamilian [ | * | * | * | * | * | * | * | 7 | ||
| 13 | Jana Kolenda [ | * | * | * | * | 4 | |||||
| 14 | Healey [ | * | * | * | * | * | 5 | ||||
| 15 | Demirovic [ | * | * | * | * | * | * | * | 7 | ||
| 16 | Arrow [ | * | * | * | * | * | * | * | 7 | ||
| 17 | Seehra [ | * | * | * | * | * | 5 | ||||
| 18 | Brosens [ | * | * | * | * | * | 5 | ||||
| 19 | Johal [ | * | * | * | * | * | 5 | ||||
| 20 | Benson [ | * | * | * | * | 4 | |||||
| 21 | Choi [ | * | * | * | * | * | 5 | ||||
| 22 | Jaeken [ | * | * | * | * | 4 | |||||
| 23 | Jung [ | * | * | * | * | * | * | 6 | |||
| 24 | Romero [ | * | * | * | * | * | * | * | 7 | ||
| 25 | Avontroodt [ | * | * | * | * | 4 | |||||
High-quality at low risk of bias could get a maximum of 9 stars, articles achieving 8, 7, or 6 stars have moderate quality, and articles with 5 stars or fewer signified low quality.
Figure 2Risk of bias summary: review authors’ judgments about each risk of bias item for each included study.
Figure 3Risk of bias graph: review authors’ judgments about each risk of bias item presented as percentages across all included studies.