| Literature DB >> 30594164 |
Nicole Fouda Mbarga1, Abdul-Razak Abubakari2, Leopold Ndemnge Aminde3, Antony R Morgan2.
Abstract
BACKGROUND: In 2004, a World Health Report on road safety called for enforcement of measures such as seatbelt use, effective at minimizing morbidity and mortality caused by road traffic accidents. However, injuries caused by seatbelt use have also been described. Over a decade after publication of the World Health Report on road safety, this study sought to investigate the relationship between seatbelt use and major injuries in belted compared to unbelted passengers.Entities:
Keywords: Adult; Injury; Passengers; Risk; Seatbelt; Vehicle
Mesh:
Year: 2018 PMID: 30594164 PMCID: PMC6310927 DOI: 10.1186/s12889-018-6280-1
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Flow diagram of retrieved searches
Fig. 2Risk of any injury in belt versus non-belt users. On the forest plots, black diamonds represent individual risk of injury (by study); Blue diamonds represent the subtotal of risk of injury by subcategory; Black lines represent the individual 95% confidence intervals; Blue lines represent the estimated predictive intervals; Blue dotted lines represent the inestimable predictive intervals
Fig. 3Risk of any injury by crash type in belt users versus non-belt users. On the forest plots, black diamonds represent individual risk of injury (by study); Blue diamonds represent the subtotal of risk of injury by subcategory; Black lines represent the individual 95% confidence intervals; Blue lines represent the estimated predictive intervals; Blue dotted lines represent the inestimable predictive intervals
Comparison of effect estimate by various subgroups
| Grouping variable | Subgroup | Numb. of studies | Sample | RR (95% CI) | Prediction intervals | Tau2 | I2 (95%CI) | H (95%CI) | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall (any injury) |
| 11 | 38,662,538 | 0.47 (0.28–0.80) | 0.07–3.27 | 0.669 | 99.9 (99.9–99.9) | 34.7 (33.2–36.4) | < 0.0001 | 0.361 | NA |
| By injury site | Head | 6 | 32,964,587 | 0.49 (0.22–1.08) | 0.03–8.65 | 0.910 | 99.3 (99.1–99.4) | 11.6 (10.1–13.4) | < 0.0001 | 0.046 | 0.090 |
| Spinal | 7 | 5,281,081 | 0.56 (0.37–0.84) | 0.15–2.01 | 0.206 | 93.1 (88–96) | 3.8 (2.9–5.0) | < 0.0001 | 0.328 | ||
| Facial | 2 | 409,016 | 0.75 (0.40–1.43) | – | 0.207 | 96.9 |
| < 0.0001 |
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| Neck | 2 | 855 | 0.69 (0.07–6.44) | – | 1.761 | 56.6 |
| 0.129 |
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| Thoracic | 2 | 855 | 0.96 (0.74–1.25) | – | 0.0 | 0.0 |
| 0.754 |
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| Abdomen | 2 | 4621 | 0.93 (0.84–1.04) | – | 0.0 | 0.0 |
| 0.912 |
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| Upper limb | 1 | 766 | 1.05 (0.83–1.34) |
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| Lower limb | 1 | 766 | 0.77 (0.58–1.04) |
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| By crash type | Motor vehicle collision | 5 | 5,692,713 | 0.64 (0.46–0.89) | 0.19–2.17 | 0.119 | 98.8 (98–99) | 9.0 (7.4–10.8) | < 0.0001 | 0.670 | 0.001 |
| Rollover | 3 | 3,276,677 | 0.43 (0.20–0.93) | 0.0–963.4 | 0.465 | 99.2 (99–99.6) | 11.4 (9.1–14.3) | < 0.0001 | 0.268 | ||
| Multiple | 3 | 3447 | 0.37 (0.30–0.44) | 0.11–1.27 | 0.0 | 0.0 (0.0–90) | 1.0 (1.0–3.1) | 0.506 | 0.025 | ||
| Front | 1 | 18,296,847 | 0.18 (0.18–0.19) |
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| Side | 1 | 8,571,748 | 0.15 (0.14–0.15) |
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| Rear | 1 | 2,821,106 | 0.09 (0.08–0.09) |
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| By study sample size | < median (6128) | 5 | 4662 | 0.51 (0.20–1.30) | 0.02–12.46 | 0.783 | 94.5 (90–97) | 4.3 (3.2–5.8) | < 0.0001 | 0.121 | 0.594 |
| ≥ median (6128) | 6 | 38,657,876 | 0.45 (0.23–0.86) | 0.04–5.10 | 0.659 | 99.9 (99.9–99.9) | 48.7 (46.3–51.2) | < 0.0001 | 0.340 | ||
| By study type | Hospital | 3 | 6189 | 0.39 (0.01–1.72) | 0.0–5025 | 1.079 | 61.1 (0–89) | 1.6 (1.0–3.0) | 0.077 | 0.038 | 0.967 |
| Patient databases | 8 | 38,656,349 | 0.48 (0.27–0.84) | 0.06–3.88 | 0.648 | 99.9 (99.9–99.9) | 40.6 (38.6–42.6) | < 0.0001 | 0.452 | ||
| Publication year | Before 2010 | 3 | 5,270,440 | 0.36 (0.33–0.38) | 0.22–0.57 | 0.0 | 0.0 (0.0–90) | 1.0 (1.0–3.1) | 0.530 | 0.036 | 0.269 |
| On or after 2010 | 8 | 33,392,098 | 0.54 (0.30–0.98) | 0.06–4.75 | 0.697 | 99.9 (99.9–99.9) | 41.4 (39.4–43.4) | < 0.0001 | 0.388 |
NB: Absent predictive intervals could not be estimated due to inadequate number of studies (less than 3); absent I2 confidence intervals could not be estimated due to degrees of freedom less than 2 and Egger’s test was inestimable for groups with less than 3 studies
Fig. 4Risk by major body region injury in seatbelt users versus non-belt users. On the forest plots, black diamonds represent individual risk of injury (by study); Blue diamonds represent the subtotal of risk of injury by subcategory; Black lines represent the individual 95% confidence intervals; Blue lines represent the estimated predictive intervals; Blue dotted lines represent the inestimable predictive intervals
Fig. 5Contour-enhanced funnel plot for publication bias