| Literature DB >> 29895273 |
Wenjie Dai1,2,3,4, Aizhong Liu5, Atipatsa C Kaminga1,6, Jing Deng1, Zhiwei Lai7, Jianzhou Yang8, Shi Wu Wen9,10,11,12.
Abstract
BACKGROUND: Road traffic accident (RTA), an unexpected traumatic event, may not only lead to death and serious physical injuries, but also could put survivors at an increased risk for a wide range of psychiatric disorders, particularly acute stress disorder (ASD). Early assessment of trauma-related psychological responses is important because acute trauma responses in the early post-traumatic period are among the robust predictors of long-term mental health problems. However, estimates of the prevalence of ASD among RTA survivors varied considerably across studies. Therefore, this meta-analysis aimed to identify the pooled prevalence of ASD among RTA survivors.Entities:
Keywords: Acute stress disorder; Prevalence; meta-analysis; Road traffic accident
Mesh:
Year: 2018 PMID: 29895273 PMCID: PMC5998549 DOI: 10.1186/s12888-018-1769-9
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Fig. 1PRISMA flow chart of study identification process
Characteristics of the eligible studies
| First author | Year of publication | Country of study | Recruitment site | Proportion of hospitalized participants, % | Proportion of male participants, % | Mean age (SD), years | Instrument used to identify ASD | Trauma- assessment interval | Number of survivors with ASD | Sample size | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Self-report questionnaire | Structured interview | ||||||||||
| Bryant [ | 1998 | Australia | Hospital-based | 100.0 | 69.6 | 29.45 (12.62) | – | ASDI | 2–28 days | 11 | 79 |
| Bryant [ | 2003 | Australia | Hospital-based | 100.0 | 63.7 | Male: 29.95 (11.49) | – | ASDI | Within 1 month | 23 | 171 |
| Fuglsang [ | 2004 | Denmark | Hospital-based | 6.7 | 45.6 | 33.99 (11.3) | ASDS | – | 7–31 days | 25 | 90 |
| Jones [ | 2005 | UK | Hospital-based | 100.0 | 39.7 | 36.75 (12.77) | – | ASDI | Within 14 days | 27 | 131 |
| Hamanaka [ | 2006 | Japan | Hospital-based | 100.0 | 77.0 | 32.8 (14.5) | – | ASDI | Within 1 month | 9 | 100 |
| Yasan [ | 2009 | Turkey | Hospital-based | 100.0 | 70.5 | 33.93 (19.78) | – | SCID | 4 days | 39 | 95 |
| van den Heuvel [ | 2016 | South Africa | Hospital-based | NR | 56.9 | 32.3 (10.6) | ASDS | – | 10 days | 47 | 115 |
| Winston [ | 2002 | USA | Hospital-based | 100.0 | 72.0 | 10.4 (3.3) | CASQ | – | 3–30 days | 27 | 95 |
| Bryant [ | 2004 | UK | Hospital-based | 21.0 | 55.0 | 12.27 (2.86) | Questions based on DSM-IV | – | 2 weeks | 13 | 86 |
| Winston [ | 2005 | USA | Population-based | NR | 45.8 | 6.9 | Questions based on DSM-IV | – | Within 30 days | 24 | 1483 |
| Salmon [ | 2007 | Australia | Hospital-based | 100.0 | 65.8 | 9.92 (2.55) | CASQ | – | 6–28 days | 6 | 76 |
| Meiser-Stedman [ | 2007 | UK | Hospital-based | 100.0 | 68.1 | 11.88 (2.6) | Questionnaire based on DSM-IV | Interview based on DSM-IV | 2–4 weeks | 33 | 367 |
| Haag [ | 2015 | Switzerland | Hospital-based | 61.4 | 58.4 | 11.55 (2.70) | – | IBS-A-KJ | 10 days | 3 | 101 |
SD standard deviation, ASDI Acute Stress Disorder Interview, ASDS Acute Stress Disorder Scale, SCID Structured Clinical Interview for DSM Disorders, CASQ Child Acute Stress Questionnaire, IBS-A-KJ Interview zur Akuten Belastungsstorung bei Kindern und Jugendlichen, NR not reported
Methodological quality assessment of the eligible studies
| Study | Random sample or whole population | Unbiased sampling frame | Adequate sample size (> 300 subjects) | Standard measures | Outcomes measured by unbiased assessors | Adequate response rate (> 70%) and refusers described | Confidence intervals and subgroups analysis | Study subjects described | Total score |
|---|---|---|---|---|---|---|---|---|---|
| Bryant et al. [ | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 5 |
| Bryant et al. [ | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 5 |
| Fuglsang et al. [ | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 4 |
| Jones et al. [ | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 5 |
| Hamanaka et al. [ | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 5 |
| Yasan et al. [ | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 5 |
| van den Heuvel et al. [ | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 4 |
| Winston et al. [ | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 5 |
| Bryant et al. [ | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 4 |
| Winston et al. [ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 7 |
| Salmon et al. [ | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 5 |
| Meiser-Stedman et al. [ | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 5 |
| Haag et al. [ | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 5 |
Fig. 2Forest plot of the eligible studies
Subgroup analyses of the pooled prevalence of ASD among RTA survivors
| Subgroup | Number of studies | Number of survivors with ASD | Total sample | Pooled prevalence (95% CI) (%) | Test of difference within each subgroup | ||
|---|---|---|---|---|---|---|---|
| Chi-square value | |||||||
| Country of study | 79.111 | < 0.001* | |||||
| USA | 2 | 51 | 1578 | 11.16 (0.00–48.57) | |||
| UK | 3 | 73 | 584 | 14.24 (7.34–22.88) | |||
| Australia | 3 | 40 | 326 | 12.11 (8.73–15.95) | |||
| Instrument used to identify ASD | 49.038 | < 0.001* | |||||
| Self-report questionnaire | 6 | 112 | 677 | 17.82 (4.05–38.11) | |||
| Structured interview | 6 | 142 | 1945 | 15.26 (7.03–25.81) | |||
| Age | 170.088 | < 0.001* | |||||
| Child or adolescent | 6 | 106 | 2208 | 9.03 (2.90–17.89) | |||
| Adult | 5 | 111 | 495 | 21.51 (11.82–33.08) | |||
| Gender | 13.667 | < 0.001* | |||||
| Male | 2 | 27 | 361 | 7.43 (4.90–10.42) | |||
| Female | 2 | 32 | 177 | 17.89 (12.50–23.96) | |||
| TBI | 0.779 | 0.377 | |||||
| Yes | 2 | 25 | 145 | 17.09 (11.30–23.75) | |||
| No | 2 | 19 | 141 | 13.27 (3.69–27.13) | |||
*P < 0.05
Meta-regression analyses of the effects of potential moderators
| Number of studies | Coefficient | Standard error | tau2 | |||
|---|---|---|---|---|---|---|
| Proportion of hospitalized participants, % | 11 | −0.030 | 0.139 | −0.217 | 0.828 | 0.021 |
| Proportion of male participants, % | 13 | 0.101 | 0.464 | 0.217 | 0.828 | 0.033 |
| Mean age of participants, years | 13 | 0.009 | 0.004 | 2.467 | 0.014* | 0.020 |
| Instrument used to identify ASD | 13 | −0.046 | 0.103 | −0.455 | 0.649 | 0.032 |
| Quality assessment score | 13 | −0.142 | 0.054 | −2.661 | 0.008* | 0.019 |
*P < 0.05
Fig. 3Begg’s funnel plot of the eligible studies