| Title |
Effects of a school-based intervention on active commuting to school and health-related fitness
|
|---|---|
| Published in |
BMC Public Health, January 2017
|
| DOI | 10.1186/s12889-016-3934-8 |
| Pubmed ID | |
| Authors |
Emilio Villa-González, Jonatan R. Ruiz, Jason A. Mendoza, Palma Chillón |
| Abstract |
Active commuting to school has declined over time, and interventions are needed to reverse this trend. The main objective was to investigate the effects of a school-based intervention on active commuting to school and health-related fitness in school-age children of Southern Spain. A total of 494 children aged 8 to 11 years were invited to participate in the study. The schools were non-randomly allocated (i.e., school level allocation) into the experimental group (EG) or the control group (CG). The EG received an intervention program for 6 months (a monthly activity) focused on increasing the level of active commuting to school and mainly targeting children's perceptions and attitudes. Active commuting to school and health-related fitness (i.e., cardiorespiratory fitness, muscular fitness and speed-agility), were measured at baseline and at the end of the intervention. Children with valid data on commuting to school at baseline and follow-up, sex, age and distance from home to school were included in the final analysis (n = 251). Data was analyzed through a factorial ANOVA and the Bonferroni post-hoc test. At follow up, the EG had higher rates of cycling to school than CG for boys only (p = 0.04), but not for walking to school for boys or girls. The EG avoided increases in the rates of passive commuting at follow up, which increased in the CG among girls for car (MD = 1.77; SE = 0.714; p = 0.010) and bus (MD = 1.77; SE = 0.714; p = 0.010) modes. Moreover, we observed significant interactions and main effects between independent variables (study group, sex and assessment time point) on health-related fitness (p < 0.05) over the 6-month period between groups, with higher values in the control group (mainly in boys). A school-based intervention focused on increasing active commuting to school was associated with increases in rates of cycling to school among boys, but not for walking to school or health-related fitness. However, the school-based intervention avoided increases in rates of passive commuting in the experimental group, which were significantly increased in girls of the control group. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 193 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 30 | 16% |
| Student > Ph. D. Student | 21 | 11% |
| Student > Bachelor | 17 | 9% |
| Researcher | 16 | 8% |
| Student > Postgraduate | 12 | 6% |
| Other | 26 | 13% |
| Unknown | 71 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 41 | 21% |
| Medicine and Dentistry | 21 | 11% |
| Social Sciences | 16 | 8% |
| Nursing and Health Professions | 15 | 8% |
| Engineering | 7 | 4% |
| Other | 19 | 10% |
| Unknown | 74 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 September 2017.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from BMC Public Health
#12,954
of 14,985 outputs
Outputs of similar age
#311,381
of 421,390 outputs
Outputs of similar age from BMC Public Health
#193
of 224 outputs
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