| Literature DB >> 35270779 |
Priyankaa Das1, Lora Mishra1, Debkant Jena1, Shashirekha Govind1, Saurav Panda2, Barbara Lapinska3.
Abstract
The aim of this systematic review was to evaluate the impact of a traumatic dental injury (TDI) of permanent teeth in children and adolescents on their oral health-related quality of life (OHRQoL) as well as on their families. A bibliographic search in the biomedical databases (PubMed, Cochrane Library, MEDLINE) was limited to studies published between January 2000 and February 2021. The study selection criteria were cross-sectional, case control, or prospective clinical studies, which analyzed TDI before and after the treatment of permanent teeth in healthy children and adolescent, assessed their OHRQoL, and were written in English. The search found 25 eligible articles that were included in the study. The quality assessment of the studies was performed using the quality assessment checklist for survey studies in psychology (Q-SSP). The results indicated that a TDI of permanent teeth strongly influences the OHRQoL of children and adolescents, and the timely-performed dental management of a TDI allows for preventing further biological and socio-psychological impacts. Sociodemographic status, economic status, parent's education, gender, age group, and type of schooling were determinants of the TDI impact on OHRQoL.Entities:
Keywords: adolescent; children; dental trauma; meta-analysis; oral health; permanent teeth; quality of life; systematic review; traumatic dental injury; well-being
Mesh:
Year: 2022 PMID: 35270779 PMCID: PMC8910580 DOI: 10.3390/ijerph19053087
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Search strategy.
| Search Strategy |
|---|
| #1 (Quality of life[MeSH Terms] OR Quality of life[Title/Abstract] OR QoL[Title/Abstract] OR OHRQoL[Title/Abstract] OR Early Childhood Oral Health Impact Scale[Title/Abstract] OR ECOHIS[Title/Abstract] OR Child Perceptions Questionnaire[Title/Abstract] OR CPQ 8–10[Title/Abstract] OR CPQ 11–14[Title/Abstract] OR Child-OIDP[Title/Abstract] OR SOHO[Title/Abstract] OR COHIP[Title/Abstract] OR PCPQ[Title/Abstract] OR Scale of Oral Health Outcomes[Title/Abstract] OR Psychology[Title/Abstract] OR Self esteem[Title/Abstract] |
| #2 (tooth injuries[MeSH Terms] OR tooth injuries[Title/Abstract] OR dental injuries[Title/Abstract] OR dental trauma[Title/Abstract] OR dentoalveolar trauma[Title/Abstract] OR tooth avulsion[Title/Abstract] OR Tooth Dislocation[Title/Abstract] OR Tooth Luxation[Title/Abstract] OR tooth intrusion[Title/Abstract] OR dental intrusion[Title/Abstract] OR tooth extrusion[Title/Abstract] OR tooth subluxation[Title/Abstract] OR Tooth Fractures[Title/Abstract] OR permanent teeth |
| Final search done:#1 and #2 |
Inclusion and exclusion criteria of selecting studies for systematic review.
| Inclusion Criteria | Exclusion Criteria |
|---|---|
|
Studies that analyzed TDI in healthy children and adolescents. |
Studies on patients with medical conditions such as systemic diseases, syndromes, and craniofacial anomalies. |
|
Studies that analyzed TDI before and after treatment of permanent teeth. |
Studies on trauma to deciduous dentition, or where TDI was excluded and other oral health issues were addressed. |
|
Studies must have assessed OHRQoL. |
Studies that evaluated psychometric properties of instruments of OHRQoL or studies where only a single question of the questionnaire was used, evaluating only one domain. |
|
Cross-sectional, case control, or prospective clinical study. |
Case reports, review articles, systematic review articles, and book chapters. |
|
Studies with abstract and full text in English language only. |
Figure 1Q-SSP checklist for assessing quality of included studies.
Figure 2PRISMA 2020 flow diagram for systematic review that includes searches of databases.
List of excluded studies after reading the full text.
| Author | Title | Reason for Exclusion |
|---|---|---|
| Flores et al. [ | How Does Orofacial Trauma in Children Affect the Developing Dentition? Long-term Treatment and Associated Complications | The OHRQoL was not checked. It is a treatment-based study. |
| Gomes et al. [ | Oral Problems and Self-Confidence in Preschool Children | This study was conducted in primary dentition. |
| Cengiz et al. [ | Impact of seizure-related injuries on quality of life | TDI has not been evaluated. |
| Sakaryali et al. [ | Evaluation of the Impact of Early Childhood Caries, Traumatic Dental Injury, and Malocclusion on Oral Health–Related Quality of Life for Turkish Preschool Children and Families | The study was conducted in primary dentition. |
| Soares et al. [ | The impact of crown fracture in the permanent dentition on children’s quality of life | This article is not published in any journal and is in press. |
| Gonçalves et al. [ | Impact of dental trauma and esthetic impairment on the quality of life of preschool children. | The study was conducted in primary dentition. |
| Braimah et al. [ | Self-esteem following maxillofacial and orthopedic injuries: preliminary observations in sub-Saharan Africans | This study did not include permanent dentition. |
| Ramos-Jorge et al. [ | Parents’ recognition of dental trauma in their children | This study was conducted in primary dentition. |
| Ramos-Jorge et al. [ | Effect of dark discolouration and enamel/dentine fracture on the oral health-related quality of life of pre-schoolers | This study was conducted in primary dentition. |
| Granville-Garcia et al. [ | Parental influence on children’s answers to an oral-health-related quality of life questionnaire | This study was conducted in primary dentition. |
| Vieira-Andrade et al. [ | Impact of traumatic dental injury on the quality of life of young children: a case–control study | This study was conducted in primary dentition. |
| Aldrigui et al. [ | Impact of traumatic dental injuries and malocclusions on quality of life of young children | This study was conducted in primary dentition. |
| Firmino et al. [ | Impact of oral health problems on the quality of life of preschool children: a case-control study | This study was conducted in primary dentition. |
| Barbosa Neves et al. [ | Perception of parents and self-reports of children regarding the impact of traumatic dental injury on quality of life | This study was conducted in primary dentition. |
| Siqueira et al. [ | Impact of Traumatic Dental Injury on the Quality of Life of Brazilian Preschool Children | This study was conducted in primary dentition. |
| Viegas et al. [ | Influence of traumatic dental injury on quality of life of Brazilian preschool children and their families | This study was conducted in primary dentition. |
| Gomes et al. [ | Impact of oral health conditions on the quality of life of preschool children and their families: a cross-sectional study | This study was conducted in primary dentition. |
| Abanto et al. [ | Impact of traumatic dental injuries and malocclusions on quality of life of preschool children: a population-based study | This study was conducted in primary dentition. |
| Abanto et al. [ | The impact of dental caries and trauma in children on family quality of life | This study was conducted in primary dentition. |
| Abanto et al. [ | Impact of dental caries and trauma on quality of life among 5- to 6-year-old children: perceptions of parents and children | This study was conducted in primary dentition. |
| Feldens et al. [ | Enamel fracture in the primary dentition has no impact on children’s quality of life: implications for clinicians and researchers | This study was conducted in primary dentition. |
| Scarpelli et al. [ | Oral health-related quality of life among Brazilian preschool children | This study was conducted in primary dentition. |
| Viegas et al. [ | Impact of Traumatic Dental Injury on Quality of Life Among Brazilian Preschool Children and Their Families | This study was conducted in primary dentition. |
| Kramer et al. [ | Exploring the impact of oral diseases and disorders on quality of life of preschool children | This study was conducted in primary dentition. |
| Borges et al. [ | Relationship between overweight/obesity in the first year of age and traumatic dental injuries in early childhood: Findings from a birth cohort study | This study was conducted in primary dentition. |
Data extraction of included studies.
| Author/Year | Population Investigated | Age Group | Instrument | TDI Index | Association of TDI and OHRQoL | Conclusions | Funding |
|---|---|---|---|---|---|---|---|
| Diaz et al. (2018) [ | Colombia | 6–14 years | P-CPQ | Andreasen | No | Children who studied at public schools were more likely to experience a negative impact on the emotional wellbeing and social wellbeing domains. There was no association between traumatic dental injuries and the perception of the impact of OHRQoL, but this may be due to the low prevalence of TDI in the sample. | None. |
| Antunes et al. (2012) [ | Brazil | 8–14 years | P-CPQ Brazilian version | Andreasen | Yes | The tooth most affected was the right maxillary central incisor (41.2%). The type of tissue most injured was dental tissue (54.8%). The most prevalent type of TDI was fracture of enamel and dentin (48.9%). It could be observed that the highest levels of impact and its reduction after treatment were in the group of trauma affecting both dental and support tissue. However, noticeable change over time could be identified (positive reduction) for all types of TDI, which denotes 100% of the population benefitting from trauma treatment. | DAB/SAS/MS (Department of Primary Care/Secretary of Health Care/Ministry of Health), DECIT/SCTIE/MS (Department of Science and Technology/Secretary of Science, Technology and Strategic Resources/Ministry of Health)—CNPq (The National Council for Scientific and Technological Development) and FAPERJ. |
| Magno et al. (2019) [ | Brazil | 8–14 years | CPQ8–10, CPQ11–14, P-CPQ, FIS | Andreasen | Yes | In general, children (aged 8–10 years) and adolescents (aged 10–14 years) presented with a reduction of the negative impact of OHRQoL following restorative treatment of CFED; however, the completion of the same treatment did not affect the OHRQoL of their families. | Coordenacao de Aperfeicoamnto de Pessoal de. |
| Berger et al. (2009) [ | Canada | 8–20 years | CPQ8–10, CPQ11–14, PPQ and FIS | Yes | Children and adolescents who sustain a dental injury severe enough to warrant splinting of the maxillary anterior teeth suffer an immediate decrease in their QoL. Results indicated that at one year, children are affected mostly in the emotional or social well-being domains, yet their parents exclusively reported one-year effects that were based on oral symptoms and functional limitations. Results from the emotional well-being component of the COHQoL questionnaire indicate that dental trauma continues to cause emotional distress and financial difficulties for the injured child and their parent one year later. | Dentistry Clinical Research Fund: Rhani Ghar Grotto Endowment. | |
| Martins et al. (2018) [ | Brazil | 8–10 years | CPQ8–10 | Andreasen | Yes | Children who presented with dental caries associated with TDI, as well as dental caries associated with malocclusion, were more likely to experience a high negative impact on their OHRQoL than those without any oral condition. Children with the three oral conditions were 2.01-fold more likely to experience a high negative impact on their OHRQoL (total score) than those without any oral health problems. | Not stated. |
| Sardenberg et al. (2017) [ | Brazil | 8–10 years | CPQ8–10 | Andreasen | Yes | The mean CPQ8–10 score was 1.38-fold (95% CI: 1.17–1.63; | Conselho Nacional de Desenvolvimento Científico e Tecnológico and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. |
| Freire-Maia et al. (2015) [ | Brazil | 8–10 years | CPQ8–10 Brazilian version | Andreasen | Yes | Girls had a 1.46-fold greater chance of presenting a high negative impact on OHRQoL and younger children had more chance of a high negative impact. Children with severe dental trauma (55.9%) reported more negative impact on OHRQoL than children with dental caries (44.4%) and/or accentuated anterior maxillary overjet (41.1%). | National Council for Scientific and Technological Development (CNPq), the Ministry of Science and Technology, and the State of Minas Gerais Research Foundation (FAPEMIG), Brazilian Coordination of Higher Education (CAPES), Brazil. |
| Silva-Oliveira et al. (2018) [ | Brazil | 12 years | CPQ11–14—ISF:16 short form | Andreasen | Yes | The central incisors were the most affected teeth. TDI was associated with an overjet equal to or greater than 3 mm. There was also an association of the negative impact on oral health-related quality of life, among patients who presented with TDI, in the social well-being and emotional well-being subscales. No association between TDI and socioeconomic factors was observed. | Not stated. |
| Rajab et al. (2019) [ | Jordan | 12 years | CPQ11–14 Arabic version | Andreasen | Yes | When each of the 16 items of the CPQ11–14 was considered, higher impacts were reported by children who had untreated TDI. The mean scores of the 16 items of the CPQ11–14 were higher in the group of untreated TDI than those in both the group treated TDI and the group with absence of trauma. The results of the present study confirm the negative impact of untreated TDI on QoL of schoolchildren. | Not stated. |
| Bendo et al. (2010) [ | Brazil | 11–14 years | CPQ11–14 Brazilian version | Andreasen | Yes | Children with untreated TDI were 1.2-fold (95% CI = 0.9–1.6) more likely to feel “upset” and 1.2-fold (95% CI = 0.9–1.7) more likely to have “avoided smiling/ laughing” than children without TDI. In the comparison of children with treated fractures and those without TDI, there was no association to the overall CPQ11–14—ISF: 16 score (Fisher = 0.610). Dental pain and difficulty chewing were more prevalent among children with treated teeth than those with no TDI, but this difference did not achieve statistical significance ( | National Council for Scientific and Technological Development (CNPq), Ministry of Science and Technology, and the State of Minas Gerais Research Foundation (FAPEMIG), Brazil. |
| Bendo et al. (2014) (1) [ | Brazil | 11–14 years | CPQ11–14 Brazilian version | Andreasen | Yes | Age was not associated with impact on adolescents’ OHRQoL. However, adolescents diagnosed with fractures involving dentin and/or pulp, untreated dental caries, and malocclusion had a greater chance of presenting high negative impact on OHRQoL. The results demonstrated that adolescents diagnosed with fractures involving dentin and/or pulp had a 2.40-fold greater chance of presenting high negative impact on QHRQoL than those without evidence of TDI. | Coordination for the Improvement of Higher-Level Education Personnel (CAPES), the National Council for Scientific and Technological Development (CNPq), and the State of Minas Gerais Research Foundation (FAPEMIG), Brazil. |
| Porrit et al. (2011) [ | UK | 7–17 years | CPQ11–14 – ISF:16 short form | Andreasen | Yes | The results revealed that girls were more likely to report a higher level of impact on their OHRQoL and HRQoL than boys following traumatic injury to their permanent incisors. | Not stated. |
| Traebert et al. (2012) [ | Brazil | 11–14 years | CPQ11–14 – ISF:16 short form | O’Brien | Yes | Enamel fractures were the most common form of TDI, while adhesive restoration was the most common form of treatment needed for TDI. This study showed a statistically significant and independent association between TDI and OHRQoL among Brazilian 11–14-year-old schoolchildren. | Grant from FAPESC – Fundacao de Apoio a. |
| Dame-Texeira et al. (2013) [ | Brazil | 12 years | CPQ11–14- ISF:16 short form | O’Brien | No | Individuals presenting TDI with treatment needs experienced a higher average CPQ11–14 score than individuals with no TDI or with TDI without treatment needs. The main finding was that schoolchildren affected by TDI and needing clinical intervention had significantly higher adjusted mean CPQ11–14 scores for function impairment than those with no TDI or affected by TDI with no treatment needs, indicating a significant but limited effect on quality of life. Where no overall association was observed between TDI and OHRQoL, a domain-specific analysis revealed significant association between TDI and function impairment. Schoolchildren presenting with TDI with clinical treatment needs (e.g., restorations, crowns, root canal therapy) had a 1.2-fold higher adjusted mean CPQ11–14 score than the reference group (no TDI/no treatment needs). | None. |
| Antunes et al. (2013) [ | Brazil | 10–15 y | CPQ11–14 – ISF:16 short form | WHO 1997 | Yes | Children and adolescents with traumatic dental injury were more likely to have a greater impact on their life than those with no injuries. Traumatic dental injury actually affects the quality-of-life of children and adolescents and, consequently, it is not enough to treat only its signs and physical symptoms. In fact, oral symptoms but also functional limitations and emotional and social well-being should be considered. | Not stated. |
| Locker et al. (2007) [ | Canada | 11/12 years | CPQ11–14—10 short form | Dental Trauma Index | Yes | Over one third, 37.5%, showed evidence of injury to the anterior dentition (DTI codes of 1–5), with 15.3% having one or more teeth with severe injury (DTI codes of 2–5). Children from low-income households had higher scores on a short form of the CPQ11–14 than children from high-income households, indicating poorer oral health-related quality of life. | Grant from the Ontario Ministry of Health. |
| Fakhruddin et al. (2008) [ | Canada | 12–14 years | CPQ11–14—10 short form | Dental Trauma Index | Yes | Children with untreated dental injuries were approximately three times more likely to report difficulty chewing than those without injury. Subjects with untreated dental trauma were approximately three times more likely to avoid smiling or laughing and four times more likely to report not wanting to talk to other children compared with uninjured controls. The impact of dental trauma to upper incisors on social well-being was greater than on functional and psychological well-being in this sample of 12–14-year-old schoolchildren. Those with untreated dental injuries experienced a higher risk of negative social impact on their daily living than those without injury. | Grant from the Ontario Ministry of Health. |
| Bendo et al. (2014) (2) [ | Brazil | 11–14 years | FIS | Andreasen | Yes | TDI severity was directly associated with an impact on the family’s QoL, especially regarding parental/family activities. Parents/caregivers of adolescents with fractures involving the dentine or dentine/pulp reported more negative impact on parental/family activities than those with less severe TDI, such as enamel fracture. | Coordination for the Improvement of Higher-Level Education Personnel (CAPES), Ministry of Education, and the State of Minas Gerais Research Foundation (FAPEMIG), Brazil. |
| Gianenetti et al. (2007) [ | Italy | Under 18 years | OHIP-14 | Andreasen | Yes | It was a single tooth avulsed in 63.3% of the population, 49.5% was central incisor. Adverse impacts on OHRQoL were reported much more frequently among patients who got into failure of replantation compared with patients who got into successful replantation. The findings show that if patients got into tooth avulsion, then their quality of life is adversely affected. | Not stated. |
| Bomfim et al. (2017) [ | Brazil | 12 years | National Research in Oral Health (SBBrasil2010) | Yes | Regarding occlusal characteristics, crowding in at least one segment was associated with trauma in the maxillary teeth and in mandibular teeth. Crowding in two segments increased the chances of fracture. The spacing/diastema between the arches was a risk factor for enamel fractures, fractures in mandibular teeth, and for any fracture analyzed. The presence of a diastema and mandibular overjet was not associated with any type of TDI. Maxillary overjet (greater than 3 mm) was associated with all fractures in maxillary teeth. Anterior open bite was a protective factor for enamel fractures in maxillary teeth and any analyzed TDI. | Not stated. | |
| Ramos-Jorge et al. (2014) [ | Brazil | 11–14 years | Child-OIDP | O’Brien | Yes | Schoolchildren with untreated TDI experienced a greater negative impact on quality of life in comparison with those without TDI. This impact was significant regarding eating and smiling. No significant differences were found on the Child-OIDP between schoolchildren with treated TDI and those without TDI. The association between untreated TDI and impact on quality of life in the present study was stronger for ‘eating and enjoying food’ and ‘smiling and showing teeth’. | Brazilian fostering agencies the Coordination of Higher Education (CAPES), Ministry of Education, and the State of Minas Gerais Research Foundation (FAPEMIG). |
| Thelen et al. (2011) [ | Albania | 16–19 years | OIDP | O’Brien | Yes | The overall impact prevalence of OIDP among cases was significantly higher (88.4%) than for the controls (58.9%). The most prevalent impact was ‘smiling and showing teeth without embarrassment’ which was reported by cases 78.9% and their controls 31.6%. The second-most prevalent impact was ‘enjoying contact with people’. | Department of Clinical Dentistry and the Centre for International Health, University of Bergen. |
| Basavaraj et al. (2014) [ | India | 12 and 15 years | Child-OIDP | WHO | Yes | Impacts on eating were the most prevalent (45.3%). The prevalence of impacts on cleaning teeth (42.3%) and smiling (40.1%) were also relatively high. There is a strong association between clinical dental indicators and oral impacts in children. | None. |
| Cortes et al. (2002) [ | Brazil | 12–14 years | OIDP | O’Brien | Yes | The prevalence of oral impacts, measured by the OIDP index, was higher for children with untreated fractured teeth than for children with non-fractured teeth. For both groups of children, the most prevalent OIDP impact was ‘smiling, laughing, and showing teeth without embarrassment’, with the proportion being higher for cases (55.9%) than for controls (13.2%). | Grant from Conselho Nacional de Pesquisa (CNPq). |
| Ramos-Jorge et al. (2007) [ | Brazil | 12–14 years | OIDP | O’Brien | Yes | The impact prevalence was greater in the case group for nearly all the appraised activities. | Not stated. |
Legend: OHRQoL—oral health-related quality of life; P-CPQ—Parental–Caregiver Perception Questionnaire; CPQ—Child Perceptions Questionnaire; FIS—Family Impact Scale; CFED—crown fracture involving enamel and dentin; OHIP—Oral Health Impact Profile; COHQoL—Child Oral Health Quality of Life; ISF—Impact Short Form; DTI—Dental Trauma Index; Child-OIDP—Child-Oral Impacts on Daily Performances; OIDP—Oral Impact on Daily Performances.
Figure 3Quality assessment of studies using a QSSP tool graph: review authors’ judgements about each risk of bias item presented as percentages across all included studies.
Figure 4Quality assessment of included studies summary: review authors’ judgements about each risk of bias item for each included study.
Data extraction of included studies—the value of each domain and its impact on OHRQoL.
| Author/Year | Value of Each Domain | Results | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Diaz et al. (2018) [ |
|
|
|
| Significant association ( | |||||||
|
| 3.88 | 3.5 | 0–20 | |||||||||
|
| 3.43 | 4.17 | 0–24 | |||||||||
|
| 2.09 | 3.90 | 0–30 | |||||||||
|
| 3.09 | 6.15 | 0–48 | |||||||||
|
| 12.49 | 14.04 | 0–90 | |||||||||
| Antunes et al. (2012) [ |
|
|
| The group of trauma affecting both dental and support tissue had the highest levels of impact (A1) and the greatest reduction in impact following therapy (A2). | ||||||||
|
|
|
|
|
| ||||||||
|
| 3.36 (3.11) | 3.00 | 0.05 (0.31) | 0.00 | ||||||||
|
| 9.83 (6.50) | 9.50 | 1.38 (2.78) | 0.00 | ||||||||
|
| 9.12 (6.60) | 10.00 | 0.17 (0.70) | 0.00 | ||||||||
|
| 7.74 (6.41) | 7.00 | 1.07 (1.63) | 0.00 | ||||||||
|
| 30.05 (17.39) | 27.50 | 2.67 (4.02) | 2.00 | ||||||||
| Magno et al. (2019) [ |
|
|
|
| OS domain: | |||||||
|
| 5.3 (3.4) | 2.7 (2.9) | 0.0003 b | |||||||||
|
| 2.6 (3.5) | 1.7 (2.0) | 0.4498 b | |||||||||
|
| 1.1 (2.8) | 0.3 (0.7) | 0.4990 b | |||||||||
|
| 2.8 (3.5) | 1.5 (1.1) | 0.0843 b | |||||||||
|
| 10.8 (10.0) | 6.5 (4.5) | 0.0065 b | |||||||||
|
| ||||||||||||
|
| 3.2 (2.6) | 2.4 (1.8) | 0.37 a | |||||||||
|
| 2.0 (1.6) | 1.2 (1.6) | 0.2049 b | |||||||||
|
| 1.1 (1.6) | 0.0 (0.0) | 0.0431 b | |||||||||
|
| 2.5 (3.5) | 1.3 (1.7) | 0.1083 b | |||||||||
|
| 8.8 (5.4) | 5.4 (2.7) | 0.0486 a | |||||||||
|
| ||||||||||||
|
| 4.5 (3.2) | 3.6 (2.9) | 0.0455 b | |||||||||
|
| 5.4 (4.4) | 3.9 (3.5) | 0.1213 b | |||||||||
|
| 5.4 (6.5) | 3.5 (6.6) | 0.0534 b | |||||||||
|
| 5.4 (4.9) | 4.7 (6.5) | 0.1482 b | |||||||||
|
| 20.7 (14.1) | 15.7 (16.6) | 0.0259 b | |||||||||
|
| ||||||||||||
|
| 5.1 (4.6) | 5.7 (5.3) | 0.8456 | |||||||||
|
| 1.7 (2.2) | 1.3 (2.3) | 0.2805 | |||||||||
|
| 1.2 (1.8) | 1.0 (1.8) | 0.1823 | |||||||||
|
| 7.9 (7.4) | 8.0 (7.9) | 0.5850 | |||||||||
| Berger et al. (2009) [ | n |
|
|
| 6 months: | |||||||
|
| 11 | 31.2 (13.3) | 34.8 (18.6) | 13.1 (6.4) | ||||||||
|
| 10 | 20.6 (14.8) | 20.6 (21.8) | 9.7 (8.2) | ||||||||
|
| 8 | 17.5 (12.3) | 15.9 (12.0) | 7.6 (6.1) | ||||||||
| n |
|
|
| |||||||||
|
| 12 | 29.3 (10.9) | 38.8 (22.6) | 9.8 (6.9) | ||||||||
|
| 11 | 19.8 (12.2) | 28.0 (17.7) | 7.6 (5.6) | ||||||||
|
| 9 | 16.7 (9.3) | 27.4 (18.3) | 7.2 (6.0) | ||||||||
| Martins et al. (2018) [ |
|
|
|
|
|
| OS domain: | |||||
|
| 3.84 (3.07) | 1.87 (2.72) | 3.15 (4.08) | 2.89 (4.63) | 11.61 (11.88) | |||||||
|
| 5.31(3.52) | 3.02 (3.59) | 4.82 (4.55) | 4.36 (5.42) | 17.50 (14.31) | |||||||
|
| 4.14 (3.40) | 2.37(3.02) | 4.83(4.83) | 4.18 (6.03) | 15.49 (14.54) | |||||||
|
| 3.91(3.16) | 1.53(2.13) | 3.39 (4.14) | 3.06 (4.20) | 12.03 (11.52) | |||||||
| Freire-Maia et al. (2015) [ |
|
|
|
| Effect of Gender on OHRQL: Girls had a 1.46-fold greater chance of presenting with a negative impact on OHRQoL. | |||||||
|
| 2.67 | 1.31–5.46 | 0.005 | |||||||||
|
| 2.93 | 1.46–5.90 | 0.002 | |||||||||
|
| 2.61 | 1.31–5.20 | 0.005 | |||||||||
| Sardenberg et al. (2017) [ |
|
|
|
|
| Effect of gender on OHRQoL: OHRQoL was significantly associated ( | ||||||
|
| 5 | 5.15 (3.64) | 0–20 | 0–19 | ||||||||
|
| 5 | 2.84 (3.52) | 0–20 | 0–18 | ||||||||
|
| 5 | 3.51 (4.47) | 0–20 | 0–20 | ||||||||
|
| 10 | 2.45 (4.50) | 0–40 | 0–28 | ||||||||
|
| 25 | 13.95 (13.12) | 0–100 | 0–76 | ||||||||
| Silva-Oliveira et al. (2018) [ |
|
|
|
|
| Effect of gender on OHRQoL: There was no association between TDI and gender. | ||||||
|
| 2.65 | Low impact | 65 (27.0) | 0.277 | ||||||||
|
| 1.70 | Low impact | 74 (26.8) | 0.191 | ||||||||
|
| 1.66 | Low impact | 77 (24.6) | 0.006 | ||||||||
|
| 1.27 | Low impact | 47 (20.2) | <0.001 | ||||||||
|
| 12.54 | Low impact | 69 (24.2) | 0.003 | ||||||||
| Rajab et al. (2019) [ |
|
|
| Socioeconomic status: The results of simple logistic regression showed that social class had no significant impact on overall QoL. | ||||||||
|
| 4.45 (3.25) | 0.00–16.00 | ||||||||||
|
| 2.91 (3.13) | 0.00–16.00 | ||||||||||
|
| 3.54 (3.73) | 0.00–16.00 | ||||||||||
|
| 2.37 (3.09) | 0.00–15.00 | ||||||||||
|
| 13.27 (11.41) | 0.00–55.00 | ||||||||||
| Bendo et al. (2010) [ |
|
|
|
|
| There were no statistically significant differences between children with untreated TDI and those without TDI in terms of the overall CPQ(11–14) scores. | ||||||
|
| ||||||||||||
|
| 81 (37.0) | 541 (40.5) | 1 | 0.330 | ||||||||
|
| 85 (38.8) | 475 (35.5) | 1 | 0.348 † | ||||||||
|
| ||||||||||||
|
| 128 (58.4) | 772 (57.7) | 1 | 0.844 † | ||||||||
|
| 84 (38.4) | 455 (34.0) | 1 | 0.212 † | ||||||||
|
| ||||||||||||
|
| 138 (63.0) | 827 (61.9) | 1 | 0.743 † | ||||||||
|
| 118 (53.9) | 795 (59.5) | 1 | 0.120 † | ||||||||
|
| 107 (48.9) | 548 (41.0) | 1 | 0.029 † | ||||||||
|
| ||||||||||||
|
| 141 (64.4) | 939 (70.2) | 1 | 0.082 † | ||||||||
|
| 151 (68.9) | 913 (68.3) | 1 | 0.845 † | ||||||||
|
| 125 (57.1) | 832 (62.2) | 1 | 0.146 † | ||||||||
|
| 5 (2.3) | 19 (1.4) | 0.6 (0.2–1.6) | 0.368 ‡ | ||||||||
|
|
|
|
| |||||||||
|
| ||||||||||||
|
| 20 (31.2) | 1 | 0.142 † | |||||||||
|
| 23 (35.9) | 1 | 0.947 † | |||||||||
|
| ||||||||||||
|
| 32 (50.0) | 1 | 0.221 † | |||||||||
|
| 25 (39.1) | 1 | 0.407 † | |||||||||
|
| ||||||||||||
|
| 43 (67.2) | 1 | 0.390 † | |||||||||
|
| 41 (64.1) | 1 | 0.464 † | |||||||||
|
| 28 (43.8) | 1 | 0.661 † | |||||||||
|
| ||||||||||||
|
| 45 (70.3) | 1 | 0.989 † | |||||||||
|
| 48 (75.0) | 1 | 0.258 † | |||||||||
|
| 31 (48.4) | 1 | 0.027 † | |||||||||
|
| 1 (1.6) | 1 | 0.610 ‡ | |||||||||
| Bendo et al. (2014) (1) [ |
|
|
|
|
| Effect of gender on OHRQoL: Gender did not affect the OHRQoL. | ||||||
|
| ||||||||||||
|
| 340 (84.0) | 694 (85.7) | 1.00 | |||||||||
|
| 20 (4.9) | 25 (3.1) | 1.63 (0.89–2.98) | 0.110 | ||||||||
|
| 23 (5.7) | 73 (9.0) | 0.64 (0.40–1.05) | 0.075 | ||||||||
|
| 22 (5.4) | 18 (2.2) | 2.50 (1.32–4.71) | 0.005 | ||||||||
| Porrit et al. (2011) [ |
|
|
|
|
|
| Effect of gender on OHRQoL: Gender was found to be a significant predictor of children’s OHRQoL. The results revealed that girls were more likely to report impacts on their OHRQoL (F (1) = 6.58, | |||||
|
| 70 | |||||||||||
|
| 70 | 4.2 (3.0) | 3.0 (2.5) | Z = −3.13 ** | ↑ | |||||||
|
| 70 | 4.3 (3.6) | 3.2 (3.1) | Z = −3.18 ** | ↑ | |||||||
|
| 70 | 3.8 (3.9) | 2.9 (3.2) | Z = −2.22 * | ↑ | |||||||
|
| 70 | 3.2 (3.4) | 2.9 (2.8) | Z = −1.03 | ↔ | |||||||
| Traebert et al. (2012) [ |
| OS: Significant association was observed between TDI and OS domain at | ||||||||||
|
|
|
|
|
|
| |||||||
|
| 14.6 (8.6) | 4.7 (2.3) | 3.4 (3.0) | 3.7 (3.1) | 2.8 (2.7) | 62.1 (50.4–73.8) ** | ||||||
|
| 9.6 (7.5) | 3.8 (2.4) | 2.3 (2.4) | 1.8 (2.5) | 1.7 (2.1) | 44.0 (38.7–49.3) | ||||||
|
| 0.019 * | 0.026 * | 0.016 * | 0.031 * | 0.869 * | 0.019 ** | ||||||
|
| 12.4 (9.2) | 4.1 (2.6) | 2.8 (2.9) | 3.4 (3.5) | 2.1 (2.5) | 46.5 (41.6–51.4) | ||||||
| Dame-Texeira et al. (2013) [ |
|
|
|
|
| Effect of gender on OHRQoL: There was significant association. | ||||||
| Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | ||||||||||
|
| 4.15 (3.74–4.56) | 4.48 (3.58–5.37) | 0.198 | 4.44 (3.65–5.23) | 0.183 | 4.18 (3.77–4.59) | ||||||
|
| 2.96(2.64–3.29) | 3.39 (2.03–4.76) | 0.385 | 3.63 (3.11–4.16) | 0.132 | 3.02 (2.70–3.35) | ||||||
|
| 2.90 (2.48–3.31) | 2.79 (1.89–3.69) | 0.714 | 2.81 (1.94–3.69) | 0.771 | 2.89 (2.49–3.28) | ||||||
|
| 2.33 (1.98–2.69) | 2.03 (1.43–2.64) | 0.427 | 2.84 (2.11–3.56) | 0.210 | 2.36 (2.03–2.68) | ||||||
|
| 12.35 (10.98–13.72) | 12.70 (10.58–14.83) | 0.652 | 13.74 (11.70–15.78) | 0.476 | 12.46 (11.21–13.72) | ||||||
| Antunes et al. (2013) [ |
|
|
|
| Effect of individual domain on OHRQoL: | |||||||
|
| 3.82 ± 2.60 | 1.30 ± 2.02 | <0.01 | |||||||||
|
| 5.29 ± 4.03 | 1.33 ± 1.94 | <0.01 | |||||||||
|
| 5.00 ± 6.34 | 0.24 ± 1.22 | <0.01 | |||||||||
|
| 3.47 ± 4.36 | 0.21 ± 0.59 | <0.01 | |||||||||
|
| 17.59 ± 14.01 | 3.09 ± 4.42 | <0.01 | |||||||||
| Locker et al. (2007) [ |
|
|
| Associations were significant for all variables except school grade and mother’s educational attainment. | ||||||||
|
| ||||||||||||
|
| 12.7 | NS | ||||||||||
|
| 13.4 | |||||||||||
|
| 13.7 | |||||||||||
|
| ||||||||||||
|
| 12.7 | <0.001 | ||||||||||
|
| 13.6 | |||||||||||
|
| 16.4 | |||||||||||
| Fakhruddin et al. (2008) [ |
|
|
|
|
| |||||||
| Untreated dental injury | No dental injury | |||||||||||
|
| ||||||||||||
|
| 54 (58.7) | 59 (64.1) | 1.31 (0.68–2.52) | 1.54 (0.71–3.36) | ||||||||
|
| ||||||||||||
|
| 86 (93.5) | 84 (91.3) | 0.75 (0.26–2.16) | 1.29 (0.39–4.16) | ||||||||
|
| 59 (64.1) | 70 (76.1) | 2.00 (0.97–4.12) | 2.86 (1.13–7.26) * | ||||||||
|
| ||||||||||||
|
| 72 (78.3) | 76 (82.6) | 1.27 (0.64–2.49) | 1.71 (0.78–3.75) | ||||||||
|
| 63 (68.5) | 76 (82.6) | 2.00 (1.03–3.89) * | 2.07 (0.96–4.47) | ||||||||
|
| ||||||||||||
|
| 79 (85.9) | 82 (90.1) | 1.50 (0.61–3.67) | 1.80 (0.67–4.87) | ||||||||
|
| 72 (78.3) | 83 (90.2) | 2.38 (1.04–5.43) * | 3.09 (1.12–8.50) * | ||||||||
|
| 79 (85.9) | 88 (95.7) | 3.25 (1.06–9.97) * | 3.84 (1.12–13.18) * | ||||||||
|
| 85 (92.4) | 90 (97.8) | 3.50 (0.73–16.84) | 5.12 (0.85–30.76) | ||||||||
|
| 79 (85.9) | 85 (92.4) | 1.86 (0.74–4.65) | 2.19 (0.78–6.18) | ||||||||
|
| 33 (35.9) | 44 (47.8) | 1.58 (0.89–2.81) | 1.80 (0.93–3.48) | ||||||||
|
|
|
|
|
| ||||||||
|
|
| |||||||||||
|
| ||||||||||||
|
| 24 (55.8) | 24 (55.8) | 1.00 (0.42–2.40) | 1.17 (0.40–3.43) | ||||||||
|
| ||||||||||||
|
| 41 (95.3) | 37 (86.0) | 0.33 (0.07–1.65) | 0.16 (0.02–1.32) | ||||||||
|
| 27 (62.8) | 35 (81.4) | 2.60 (0.93–7.29) | 4.16 (1.08–16.12) * | ||||||||
|
| ||||||||||||
|
| 31 (72.1) | 35 (81.4) | 2.33 (0.60–9.02) | 2.14 (0.37–12.31) | ||||||||
|
| 32 (74.4) | 34 (79.1) | 1.40 (0.44–4.41) | 2.01 (0.39–10.29) | ||||||||
|
| ||||||||||||
|
| 39 (90.7) | 40 (95.2) | 2.00 (0.37–10.91) | 1.81 (0.23–14.15) | ||||||||
|
| 36 (83.7) | 39 (90.7) | 2.00 (0.50–7.99) | 1.67 (0.26–10.82) | ||||||||
|
| 38 (88.4) | 41 (95.3) | 2.50 (0.49–12.89) | 1.16 (0.13–10.75) | ||||||||
|
| 38 (88.4) | 41 (95.3) | 2.50 (0.49–12.89) | 0.74 (0.09–5.49) ` | ||||||||
|
| 38 (88.4) | 39 (90.7) | 1.33 (0.29–5.96) | 2.54 (0.29–22.33) | ||||||||
|
| 16 (37.2) | 18 (41.9) | 1.20 (0.52–2.78) | 1.43 (0.52–3.88) | ||||||||
| Bendo et al. (2014) (2) [ |
|
|
|
|
|
| Effect of individual domain: | |||||
|
| 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
|
| 0.96 (0.77–1.18) | 1.04 (0.82–1.32) | 0.87 (0.67–1.12) | 0.98 (0.73–1.30) | 0.78 (0.52–1.16) | |||||||
|
| 1.44 (1.10–1.88) ** | 1.45 (1.09–1.94) * | 1.45 (1.03–2.04) * | 1.46 (1.01–2.11) * | 1.26 (0.79–2.00) | |||||||
| Gianenetti et al. (2007) [ |
| 72.27 (73) | Adverse impacts on OHRQoL were reported much more frequently among patients who got into failure of replantation compared with patients who got into successful replantation. If patients got into tooth avulsion, then their quality of life was adversely affected. | |||||||||
|
| 63.4 (64) | |||||||||||
|
| 49.5 (50) | |||||||||||
|
| 39.6 (40) | |||||||||||
| Bomfim et al. (2017) [ |
|
|
|
| ||||||||
|
| 1344 | 18.56 | 17.68 | 19.47 | Effect of family income on OHRQoL: | |||||||
|
| 391 | 5.4 | 4.9 | 5.9 | ||||||||
|
| 1378 | 19.03 | 18.1 | 20 | ||||||||
|
| 271 | 3.7 | 3.32 | 4.2 | ||||||||
|
| 22 | 0.3 | 0.2 | 0.4 | ||||||||
|
| 12 | 0.17 | 0.1 | 0.3 | ||||||||
| Ramos-Jorge et al. (2014) [ |
|
|
|
|
| Effect of mother’s education on OHRQoL: There was a statistically significant difference for mother’s schooling in comparison of schoolchildren without TDI and those with treated TDI. | ||||||
|
| 419 (95.4) | 148 (90.2) | 59 (90.8) | Without vs. Untreated = 0.016 | ||||||||
|
| 428 (97.5) | 162 (98.8) | 65 (100.0) | Without vs. Untreated = 0.530 | ||||||||
|
| 434 (98.9) | 159 (97.0) | 65 (100.0) | Without vs. Untreated = 0.145 | ||||||||
|
| 435 (99.1) | 163 (99.4) | 65 (100.0) | Without vs. Untreated = 1.000 Without vs. Treated = 1.000 | ||||||||
|
| 395 (90.0) | 130 (79.3) | 56 (86.2) | Without vs. Untreated < 0.001 Without vs. Treated = 0.348 | ||||||||
|
| 439 (100.0) | 164 (100.0) | 65 (100.0) | * | ||||||||
|
| 439 (100.0) | 164 (100.0) | 65 (100.0) | * | ||||||||
|
| 438 (99.8) | 164 (100.0) | 65 (100.0) | Without vs. Untreated = 1.000 | ||||||||
|
| 364 (82.9) | 115 (70.1) | 52 (80.0) | Without vs. Untreated < 0.001 | ||||||||
| Thelen et al. (2011) [ |
|
|
|
|
| Effect of individual items on OHRQoL: | ||||||
|
| 51 (53.7) | 125 (65.8) | 1 | 1 | ||||||||
|
| 68 (71.6) | 136 (71.6) | 1 | 1 | ||||||||
|
| 92 (96.8) | 173 (91.1) | 1 | 1 | ||||||||
|
| 77 (81.1) | 155 (81.6) | 1 | 1 | ||||||||
|
| 20 (21.1) | 130 (68.4) | 1 | 1 | ||||||||
|
| 65 (68.4) | 152 (80.0) | 1 | 1 | ||||||||
|
| 91 (95.8) | 168 (88.4) | 1 | 1 | ||||||||
|
| 32 (33.7) | 146 (76.8) | 1 | 1 | ||||||||
|
| 11 (11.6) | 78 (41.1) | 1 | 1 | ||||||||
| Cortes et al. (2002) [ |
|
|
|
|
| Effect of individual item on OHRQoL: | ||||||
|
| 55 (80.9) | 134 (98.5) | 1 | 1 | ||||||||
|
| 64 (94.1) | 135 (99.3) | 1 | 1 | ||||||||
|
| 58 (85.3) | 129 (94.9) | 1 | 1 | ||||||||
|
| 30 (44.1) | 118 (86.8) | 1 | 1 | ||||||||
|
| 45 (66.2) | 129 (94.9) | 1 | 1 | ||||||||
|
| 58 (85.3) | 134 (98.5) | 1 | 1 | ||||||||
|
| 23 (33.8) | 116 (85.3) | 1 | 1 | ||||||||
| Basavaraj et al. (2014) [ |
|
|
| Effect of gender on oral impact: There was no association between oral impacts and gender. | ||||||||
|
| 2.49 (3.92) | |||||||||||
|
| 1.60 (4.49) | 11.0 (10.7–9.11) | ||||||||||
|
| 0.10 (0.71) | 7.0 (2.1–55.2) | ||||||||||
|
| 0.87 (3.07) | 3.5 (2.4–16.2) | ||||||||||
|
| 0.39 (2.65) | 0.6 (0.1–0.9) | ||||||||||
|
| 0.61 (2.92) | 10.0 (1.2–18.2) | ||||||||||
|
| 1.31 (4.22) | 15.2 (11.1–24.2) | ||||||||||
|
| 0.06 (0.59) | 0.8 (0.2–1.7) | ||||||||||
|
| 0.51 (2.13) | 13.1 (9.4–19.2) | ||||||||||
| Ramos-Jorge et al. (2007) [ |
|
|
|
| Effect of mother’s education on OHRQoL: There were no statistical significant differences between the case and control group with relation to mother’s education. | |||||||
|
| 34 (85.0) | 153 (95.6) | 0.015 C | |||||||||
|
| 38 (95.0) | 158 (98.8) | 0.179 F | |||||||||
|
| 26 (65.0) | 138 (86.3) | 0.002 C | |||||||||
|
| 39 (97.5) | 160 (100.0) | 0.215 F | |||||||||
|
| 40 (100.0) | 159 (99.5) | 0.215 F | |||||||||
|
| 24 (60.0) | 133 (83.1) | 0.001 C | |||||||||
*, **, a, b, † and ‡: Represents significant values obtained within the data set.