| Literature DB >> 35579728 |
Eric G Post1, Matthew J Rivera2, Darleesa Doss2, Lindsey E Eberman2.
Abstract
PURPOSE: To describe youth sport participation behaviors during the COVID-19 pandemic as reported by parents of youth sport athletes, to examine the association of family demographics with the likelihood of children resuming sports, and to qualitatively report the factors influencing parental decision-making regarding youth sport participation during the COVID-19 pandemic.Entities:
Keywords: COVID-19; Parent; Qualitative; Youth sport
Mesh:
Year: 2022 PMID: 35579728 PMCID: PMC9112262 DOI: 10.1007/s10900-022-01078-4
Source DB: PubMed Journal: J Community Health ISSN: 0094-5145
Parent Demographics (N=236)
| Variable | N (%), Mean (SD), or Median [IQR] |
|---|---|
|
| 39.2 (8.1) |
|
| |
| Male | 101 (42.8%) |
| Female | 134 (56.8%) |
| Gender non-conforming | 1 (0.4%) |
|
| |
| Male | 101 (42.8%) |
| Female | 135 (57.2%) |
|
| |
| Asian | 13 (5.5%) |
| African American/Black | 29 (12.3%) |
| Native American/Alaskan Native | 4 (1.7%) |
| Hispanic/Latino of any race | 26 (11.0%) |
| Native Hawaiian/other Pacific Islander | 0 (0.0%) |
| White/Caucasian | 156 (66.1%) |
| Two or more races | 6 (2.5%) |
| Other | 2 (0.9%) |
|
| |
| Less than High School | 3 (1.3%) |
| High school diploma or GED | 36 (15.3%) |
| Some college | 45 (19.1%) |
| Associate or 2-year college degree | 30 (12.7%) |
| Bachelor or 4-year college degree | 67 (28.4%) |
| Professional degree | 50 (21.2%) |
| Doctorate degree | 5 (2.1%) |
|
| |
| Less than $35,000 | 33 (14.0%) |
| $35,001 to $50,000 | 45 (19.1%) |
| $50,001 to $75,000 | 41 (17.4%) |
| $75,001 to $100,000 | 42 (17.8%) |
| $100,001 to $150,000 | 43 (18.2%) |
| More than $150,000 | 32 (13.6%) |
|
| 70,000 [40,000-120,000] |
|
| 1548 [578-3754] |
|
| |
| Employed full time | 173 (73.3%) |
| Employed part time | 19 (8.1%) |
| Unemployed looking for work | 15 (6.4%) |
| Unemployed not looking for work | 21 (8.9%) |
| Retired | 3 (1.3%) |
| Student | 2 (0.9%) |
| Disabled | 3 (1.3%) |
|
| |
| Married | 160 (67.8%) |
| Widowed | 7 (3.0%) |
| Divorced | 28 (11.9%) |
| Separated | 9 (13.6%) |
| Never married | 32 (13.6%) |
Parent and Child COVID-19 Diagnoses in Previous 12 months
| Variable | N (%), Mean (SD), or Median [IQR] |
|---|---|
|
| |
| Yes | 46 (19.5%) |
| No | 190 (80.5%) |
|
| |
| Several children | 20 (8.5%) |
| One child | 23 (9.7%) |
| No children | 193 (81.8%) |
|
| |
| At school | 12 (27.9%) |
| At home | 17 (39.5%) |
| While in public | 7 (16.3%) |
| During organized sports | 2 (4.7%) |
| Other | 0 (0.0%) |
| Unknown/unable to determine | 5 (11.6%) |
|
| |
| My children are less likely to participate in organized sports | 10 (23.3%) |
| There is no change in my children’s likelihood of participating in organized sports | 25 (58.1%) |
| My children are more likely to participate in organized sports | 8 (18.6%) |
|
| |
| My children are less likely to participate in organized sports | 10 (21.8%) |
| There is no change in my children’s likelihood of participating in organized sports | 29 (63.0%) |
| My children are more likely to participate in organized sports | 7 (15.2%) |
Fig. 1How often have your children been required to wear masks during their organized sport participation in the previous 12 months?
Association of Family Demographics with Likelihood of Children Resuming Sports
| Likelihood of Resuming Sports in Next 12 Months | |||||
|---|---|---|---|---|---|
|
|
|
|
| ||
|
| 0.44 | 0.80 | |||
| Male | 11 (10.9%) | 12 (11.9%) | 78 (77.2%) | ||
| Female | 15 (11.1%) | 20 (14.8%) | 100 (74.1%) | ||
|
| 4.5 | 0.10 | |||
| White | 22 (14.1%) | 20 (12.8%) | 114 (73.1%) | ||
| Non-White | 4 (5.0%) | 12 (15.0%) | 64 (80.0%) | ||
|
| 7.5 | 0.02 | |||
| Married | 13 (8.1%) | 18 (11.2%) | 129 (80.6%) | ||
| Non-married | 13 (17.1%) | 14 (18.4%) | 49 (64.5%) | ||
|
| 2.5 | 0.29 | |||
| Associate degree or lower | 14 (12.3%) | 19 (16.7%) | 81 (71.1%) | ||
| Bachelor’s degree or higher | 12 (9.8%) | 13 (10.7%) | 97 (79.5%) | ||
|
| 0.41 | 0.82 | |||
| Employed full-time | 19 (11.0%) | 22 (12.7%) | 132 (76.3%) | ||
| Not employed full-time | 7 (11.1%) | 10 (15.9%) | 46 (73.0%) | ||
|
| 4.5 | 0.10 | |||
| Less than $75,000 | 15 (12.6%) | 21 (17.6%) | 83 (69.7%) | ||
| $75,001 or more | 11 (9.4%) | 11 (9.4%) | 95 (81.2%) | ||
|
| 10.5 | 0.03 | |||
| Worse | 13 (16.0%) | 6 (7.4%) | 62 (76.5%) | ||
| Same | 12 (9.9%) | 23 (19.0%) | 86 (71.1%) | ||
| Better | 1 (2.9%) | 3 (8.8%) | 30 (88.2%) | ||
|
| 22.7 | <0.001 | |||
| All children stopped | 13 (15.9%) | 15 (18.3%) | 54 (65.9%) | ||
| Some children stopped | 10 (16.9%) | 12 (20.3%) | 37 (62.7%) | ||
| No children stopped | 3 (3.2%) | 5 (5.3%) | 87 (91.6%) | ||
Fig. 2Primary themes and subthemes from open-ended responses