| Literature DB >> 30127291 |
Catherine C McDonald1,2,3,4, Erin Kennedy5,6, Linda Fleisher7,8, Mark R Zonfrillo9.
Abstract
Suboptimal compliance with child restraint system (CRS) recommendations can increase risk for injury or death in a motor vehicle crash. The purpose of this study was to examine scenarios associated with incomplete CRS use and non-use in children ages 4⁻10 years. We used a cross-sectional online survey with a convenience sample of parent/caregivers from the United States, age ≥18 years, with a child age 4⁻10 years in their home, who could read and spoke English, and drove child ≥6 times in previous three months. We used descriptive statistics and Mann-Whitney U to describe and compare the distribution of responses to situational use of CRSs among car seat users and booster seat users. We also used descriptive statistics and the Mann-Whitney U to describe and compare the distribution of responses to carpooling items among booster seat users and non-booster seat users. There were significant differences among those who reported most often using booster seats (n = 282) and car seats (n = 127) in situations involving rental cars, driving just around the corner, car too crowded to fit the CRS, not enough CRSs in the vehicle, the CRS is missing from the car, or the child is in someone else's car without a CRS (p < 0.05). Among those who reported most often using booster seats and who carpooled other children (n = 159), 71.7% (n = 114) always used a booster seat for their own child. When carpooling other children, booster seat users were significantly more likely to use booster seats for other children ages 4⁻10 than the non-booster seat users (p < 0.01). Continued education and programs surrounding CRS use is critical, particularly for children who should be in booster seats.Entities:
Keywords: booster seat; car seat; carpooling; child restraint system; children; parent; seat belt
Mesh:
Year: 2018 PMID: 30127291 PMCID: PMC6121359 DOI: 10.3390/ijerph15081788
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic characteristics for situational use analysis.
| Age | Total Sample (409) | Car Seat Users (127) | Booster Seat Users (282) |
|---|---|---|---|
| 18–29 | 86 (21.0%) | 39 (30.7%) | 47 (16.7%) |
| 30–39 | 228 (55.7%) | 62 (48.8%) | 166 (58.9%) |
| 40–49 | 83 (20.3%) | 22 (17.3%) | 61 (21.6%) |
| 50+ | 12 (2.9%) | 4 (3.1%) | 8 (2.8%) |
|
| |||
| White | 365 (89.2%) | 110 (86.6%) | 255 (90.4%) |
| Not White | 44 (10.8%) | 17 (13.4%) | 27 (9.6%) |
|
| |||
| No | 381 (93.2%) | 118 (92.9%) | 263 (93.3%) |
| Yes | 28 (6.8%) | 9 (7.1%) | 19 (6.7%) |
|
| |||
| Male | 156 (38.1%) | 50 (39.4%) | 106 (37.6%) |
| Female | 253 (61.9%) | 77 (60.6%) | 176 (62.4%) |
|
| |||
| Mother/Step-mother/foster mother | 247 (60.4%) | 73 (57.5%) | 174 (61.7%) |
| Father/Step-father/foster father | 149 (36.4%) | 48 (37.8%) | 101 (35.8%) |
| Grandparent/Sibling/Other | 13 (3.2%) | 6 (4.7%) | 7 (2.5%) |
|
| |||
| Less than $25,000 | 36 (8.8%) | 11 (8.7%) | 25 (8.9%) |
| $25,000 to $49,999 | 124 (30.3%) | 41 (32.3%) | 83 (29.4%) |
| $50,000 to $74,999 | 112 (27.4%) | 34 (26.8%) | 78 (27.7%) |
| $75,000 to $99,999 | 68 (16.6%) | 24 (18.9%) | 44 (15.6%) |
| $100,000+ | 69 (16.9%) | 17 (13.4%) | 52 (18.4%) |
Figure 1“I would allow my oldest child between ages 4–10 years to ride in a car not fully buckled in their CRS when…” Note: Significant differences across groups are noted with an * p < 0.05.
Participant carpooling other children: n = 296.
| Age | Total Sample (n = 296) | Booster Seat Users (n = 159) | Non Booster Seat Users (n = 137) |
|---|---|---|---|
| 18–29 | 43 (14.5%) | 28 (17.6%) | 15 (10.9%) |
| 30–39 | 161 (54.4%) | 87 (54.7%) | 74 (54.0%) |
| 40–49 | 81 (27.4%) | 40 (25.2%) | 41 (29.9%) |
| 50+ | 11 (3.7%) | 4 (2.5%) | 7 (5.1%) |
|
| |||
| White | 258 (87.2%) | 146 (91.8%) | 112 (81.8%) |
| Not White | 38 (12.8%) | 13 (8.2%) | 25 (18.2%) |
|
| |||
| No | 278 (93.9%) | 146 (91.8%) | 132 (96.4%) |
| Yes | 18 (6.1%) | 13 (8.2%) | 5 (3.6%) |
|
| |||
| Male | 130 (43.9%) | 68 (42.8%) | 62 (45.3%) |
| Female | 166 (56.1%) | 91 (57.2%) | 75 (54.7%) |
|
| |||
| Mother/Step-mother/foster mother | 160 (54.1%) | 90 (56.6%) | 70 (51.1%) |
| Father/Step-father/foster father | 126 (42.6%) | 64 (40.3%) | 62 (45.3%) |
| Grandparent/Sibling/Other | 10 (3.4%) | 5 (3.2%) | (3.7%) |
|
| |||
| Less than $25,000 | 24 (8.1%) | 10 (6.3%) | 14 (10.2%) |
| $25,000 to $49,999 | 84 (28.4%) | 49 (30.8%) | 35 (25.5%) |
| $50,000 to $74,999 | 77 (26.0%) | 42 (26.4%) | 35 (25.5%) |
| $75,000 to $99,999 | 50 (16.9%) | 26 (16.4%) | 24 (17.5%) |
| $100,000+ | 61 (20.6%) | 32 (20.1%) | 29 (21.2%) |
Participant’s child being carpooled by another person n = 380.
| Age | Total Sample (n = 380) | Booster Seat Users (n = 212) | Non Booster Seat Users (n = 168) |
|---|---|---|---|
| 18–29 | 56 (14.7%) | 38 (17.9%) | 18 (10.7%) |
| 30–39 | 210 (55.3%) | 121 (57.1%) | 89 (53.0%) |
| 40–49 | 96 (25.3%) | 47 (22.2%) | 49 (29.2%) |
| 50+ | 18 (4.7%) | 6 (2.8%) | 12 (7.1%) |
|
| |||
| White | 330 (86.8%) | 189 (89.2%) | 141 (83.9%) |
| Not White | 50 (13.2%) | 23 (10.8%) | 27 (16.1%) |
|
| |||
| No | 357 (93.9%) | 197 (92.9%) | 160 (95.2%) |
| Yes | 23 (6.1%) | 15 (7.1%) | 8 (4.8%) |
|
| |||
| Male | 164 (43.2%) | 84 (39.6%) | 80 (47.6%) |
| Female | 216 (56.8%) | 128 (60.4%) | 88 (52.4%0 |
|
| |||
| Mother/Step-mother/foster mother | 208 (54.7%) | 127 (59.9%) | 81 (48.2%) |
| Father/Step-father/foster father | 161 (42.4%) | 80 (37.7%) | 81 (48.2%) |
| Grandparent/Sibling/Other | 11 (3.9%) | 5 (2.3%) | 6 (3.6%) |
|
| |||
| Less than $25,000 | 39 (10.3%) | 20 (9.4%) | 19 (11.3%) |
| $25,000 to $49,999 | 102 (26.8%) | 59 (27.8%) | 43 (25.6%) |
| $50,000 to $74,999 | 107 (28.2%) | 58 (27.4%) | 49 (29.2%) |
| $75,000 to $99,999 | 60 (15.8%) | 36 (17.0%) | 24 (14.3%) |
| $100,000+ | 71 (18.7%) | 39 (18.4%) | 32 (19.0%) |
Figure 2Booster seat users and their carpooling behaviors.
Figure 3Non-Booster Seat users (seatbelts or none of the above) (137) vs. Booster Seat users (159). * p < 0.05 for significant differences between groups on distribution of responses.