1. Introduction
Competitive sports are one of the best ways to showcase a country’s athletic achievements, and soccer has always been the most internationally popular representative competitive sport [
1]. In reality, children and youth aged 7 to 18 years are most exposed to school soccer [
2]. Expanding the soccer population, namely, increasing the spread and promotion of the sport among youth, is an issue on which countries are placing more importance [
3]. According to the State General Administration of Sports, 6326 schools in China have established school soccer leagues with 191,800 registered players in 2015 [
4]. Globally, however, the prevalence of soccer among Chinese children and adolescents is only 2% in European and American countries [
5]. Moreover, China has introduced a series of policies to accelerate the popularization of soccer at the children and adolescents level, such as the “Overall Plan for the Reform and Development of Chinese Football”, in order to promote the development of Chinese soccer [
6,
7,
8].
Previous studies have shown that mastery of soccer skills significantly improves metabolic, cardiovascular, and muscular function in children and adolescents, increases bone mineral density, self-confidence, and physical awareness, as well as increases the attractiveness of physical activity to them [
9,
10,
11]. Adolescent soccer players have significantly improved flexibility, coordination, balance, speed, strength, and stamina [
12,
13]. In addition, participation in soccer helps in reducing the risk of injury and disease [
14], increasing knowledge related to health, nutrition, and fitness activities [
15], gaining a sense of well-being in life [
16], and promoting physical health [
17,
18].
Studies have shown that the choice of sports to participate in is also influenced by the geographic location and natural environment [
19,
20]. Snow and ice sports in the Nordic countries and water sports in Australia and other countries have a high proportion of participants; therefore, the choice of sports for children and young people varies from region to region [
21,
22]. Second, factors from family and social environments, such as parents’ attitudes toward sports and the fitness environment in their neighborhood, may influence children and adolescents’ choice of sports programs [
23,
24]. Finally, the socioeconomic status of the family in terms of education, income, occupation, fitness equipment, and transportation costs incurred influence the choice of sports programs for children and adolescents [
25]. However, current research has not yet conducted a comprehensive survey and analysis of the specific physical activities performed in different regions and by different individuals.
China is a vast country with significant differences in the natural and economic environment of each region. The eastern region has a better economy than the other two regions, in addition to a larger population and higher average annual precipitation. The western region covers a wider area, is sparsely populated, and has less average annual precipitation and more mountain ranges. At present, China’s soccer population density is less than 1.5%, compared with the soccer population density of 7–8% in the world’s leading soccer countries, and the soccer level of children and adolescents is at a relatively low level [
26,
27]. Therefore, the popularization of soccer in China still has a long road ahead. However, there is no research that solves this problem in China, since the reasons for the low participation rate in Chinese soccer are unknown.
In summary, many relevant factors influence the choice of sports programs for children and adolescents. Therefore, this study was conducted to find the factors that influence the participation of children and adolescents in soccer programs. By improving these factors, it is possible to encourage children and adolescents to benefit from soccer programs, to promote the development of physical health, to reduce the burden of families on the physical development of children and adolescents, and to provide recommendations to the state and society for the coordinated development of the “soccer population” of children and adolescents.
3. Results
The number of children and adolescents who participated in soccer sports programs accounted for 24.5% of the total number of respondents. Data from the different age groups on the number of people who participated in soccer sports programs showed the following characteristics: Age group 13–18 > age group 10–12 > age group 7–9, and the difference was statistically significant (p < 0.05). Children and adolescents who liked or were proficient in soccer sports programs accounted for 14.4% of the total number of people surveyed. The percentage was even lower, and it was consistent with the age group of participation in soccer sports programs when viewed in different age groups. Moreover, the difference was statistically significant (p < 0.05). In each age group, 2.3% (p < 0.05) more people participated in soccer than those who liked or were proficient in soccer in the 7–9 age group, 2.9% (p < 0.05) more in the 12–18 age group, and 4.9% (p < 0.05) more in the 13–18 age group. However, the number of those who participated in the soccer sports program was 10.1% higher in the 7–18 age group than those who liked or mastered the soccer sports program (p < 0.05).
3.1. Overview of the Distribution of the Three Major Divisions
In the national division, the percentage of people who participated in soccer was higher than the percentage of people who liked or were proficient in soccer in each region and each age group. In addition, the difference was statistically significant (p < 0.001). Moreover, the 10–12 age group was higher than the other age groups (p < 0.001).
For the eastern region, in terms of participation in soccer sports program, the percentage of people in the 10–12 age group was 3.7% (χ2 = 12.295, p < 0.001) and 3.3% (χ2 = 12.096, p = 0.001) higher than the 10–12 and 13–18 age groups, respectively. In terms of liking or proficiency in the sport of soccer, the number of people in the 10–12 age group was 1.7% (χ2 = 4.210, p = 0.040) and 3.7% (χ2 = 17.766, p < 0.001) higher than the 10–12 and 13–18 age groups, respectively.
For the central region, the characteristics of the age groups largely match those of the east. In terms of participation in soccer sports programs, the 10–12 age group has the highest percentage, 25.2%. However, there was no significance between all age groups in terms of liking or proficiency in soccer.
For the western region, in terms of participation in soccer sports programs, the 10–12 age group has the highest percentage, 27.2%. The difference was significant (χ
2 = 30.432,
p < 0.001) compared to the 7–9 and 13–18 age groups (χ
2 = 11.266,
p = 0.001). This is followed by a higher percentage in the 13–18 age group than the 7–9 age group (χ
2 = 8.932,
p = 0.003). In terms of liking or proficiency in soccer sports programs, the percentage in the 10–12 age group was 14.5%, which was 3.8% (χ
2 = 18.077,
p < 0.001) and 2.2% (χ
2 = 19.042,
p = 0.005) higher than the 7–9 and 10–12 age groups, respectively. See
Table 4 for more details.
The percentage of children and adolescents who participated and liked or were proficient in soccer was calculated by division. In the three major sub-regions, the highest number of soccer participants was 38.2% in the eastern region and the lowest was 27.2% in the central region, while the highest percentage of those who liked or were proficient in soccer was 37.1% in the western region. See
Figure 1 for details.
3.2. Uneven Distribution across Regions with a Strong Correlation with the Natural Environment of Each Region
For the national area, the people correlation coefficient of 0.487 for the region of the percentage of children and adolescents who liked or played soccer well and the provinces showed a positive correlation. The people correlation coefficient for the average annual precipitation is −0.367 (p < 0.05), which is negative. People correlation coefficients for participation in soccer programs and provincial GDP were 0.430 (p < 0.05) and 0.403 (p < 0.05) for the 7–9 and 10–12 age groups, respectively, showing a positive correlation. Participation and liking/skill of children and adolescents aged 13–18 years in soccer sports were positively correlated with provincial land area and negatively correlated with mean annual precipitation. Participation in soccer sports programs was positively correlated with province size, but not as strongly correlated with preference or ability for sports programs.
The people correlation coefficients between children and adolescents’ participation in soccer sports programs and liking or proficiency and GDP in the eastern region were 0.652 (p < 0.05) and 0.591 (p < 0.05), respectively, and the results showed a positive correlation. The people correlation coefficients for children and adolescents participation in soccer programs with province size and average annual precipitation were 0.804 (p < 0.01) and −0.717 (p < 0.05), respectively, while the correlation coefficients for preference or proficiency for soccer programs were 0.882 (p < 0.01) and −0.620 (p < 0.05), respectively. Participation and preference or proficiency for soccer programs were positively correlated with province size and negatively correlated with average annual precipitation. In addition, they were negatively correlated with mean annual precipitation.
The western region is primarily larger and more economically backward compared to the eastern and central regions. There is no correlation between the individual age groups and the relevant factors.
For each age group, the correlation between the 7–9 and 10–12 age groups and GDP in the eastern region remained consistent with the nation. Participation and liking or proficiency in soccer programs for children and adolescents aged 13–18 years in the central region were strongly positively correlated with province size. See
Table 5 for details.
3.3. Correlation Factors Affecting Children and Adolescents’ Participation in Soccer
Due to the large difference between the number of individuals who were proficient in the sport of soccer and the number of individuals who participated in the above analysis, we performed a one-way logistic regression analysis to filter out significant factors (p < 0.05). The final factors corresponding to the four levels were identified: Family level (four factors), school level (one factor), community level (three factors), and individual level (three factors). The results of the multivariate logistic regression analysis show that the modified decidable coefficient is R2 = 0.297, indicating a good fit of the model. Moreover, a correlation analysis of the participation of children and adolescents aged 7–18 years in soccer sports programs was carried out.
Analysis of the relationship between participation in soccer sports programs and variables among children and adolescents aged 7–18 years was carried out through screening of four levels. At the family level, Y1 (OR = 1.756; 95% CI, 1.668–1.849; β = 0.563; p < 0.05), Y2 (OR = 1.194; 95% CI, 1.084–1.314; β = 0.177; p < 0.05), Y3 (OR = 0.106; 95% CI, 0.100–0.112; β = 2.247; p < 0.05), and Y4 (OR = 1.871; 95% CI, 1.102–3.179; β = 0.627; p < 0.05) all contribute to the children’s participation in soccer sports programs.
At the school level, Y5 (OR = 0.675; 95% CI, 0.626–0.727; β = 0.394; p < 0.05) all contribute to the children’s participation in soccer sports programs.
At the community level, Y6-1 (OR = 1.748; 95% CI, 1.418–2.155; β = 0.558; p < 0.05), Y6-2 (OR = 1.399; 95% CI, 1.136–1.723; β = 0.336; p < 0.05), Y7-1 (OR = 1.419; 95% CI, 1.179–1.707; β = 0.350; p < 0.05), Y7-2 (OR = 1.269; 95% CI, 1.057–1.523; β = 0.238; p < 0.05), and Y8 (OR = 0.729; 95% CI, 0.614–0.865; β = 0.316; p < 0.05) all contribute to the children’s participation in soccer sports programs.
At the individual level, Y9 (OR = 0.017; 95% CI, 0.015–0.018; β = 4.104;
p < 0.05), Y10 (OR = 0.645; 95% CI, 0.532–0.782; β = 0.439;
p < 0.05), and Y11 (OR = 0.634; 95% CI, 0.469–0.858; β = 0.455;
p < 0.05) all contribute to the children’s participation in soccer sports programs. See
Table 6 for details.
4. Discussion
The sports scene of Chinese children and adolescents basically comprises physical education classes in schools. In addition, the top five sports programs mainly include running, skipping rope, badminton, walking, and table tennis [
31], and the number of participants in soccer sports programs is very small. However, soccer not only brings about healthy mental and physical development, but also fosters a sense of teamwork, promotes the development of motor skills, etc. [
12,
13,
14,
15,
16,
17,
18]. In this study, a nationwide sample found that the number of children and adolescents who liked or were proficient in soccer was significantly lower than the number of people who participated in the sport. The larger the region and the higher the GDP, the more children and youth participate in soccer programs. Children and youth are more likely to participate in soccer if they live in a better socioeconomic status, if their parents encourage them to play the sport, and if they live in a better environment [
6,
7,
8]. This study will not only provide guidance to the government and society to increase their “soccer population”, but will also enable all Chinese families to improve the factors that foster their children’s interest in soccer, in order that children and adolescents who are interested in soccer can participate in the sport, and communities in each region of China can improve the factors that promote the physical, psychological, and physiological benefits of soccer for children and adolescents in their communities [
12,
13,
14,
15,
16,
17,
18].
Differences in children and adolescents’ participation and liking or proficiency in soccer sports programs and the proficiency of motor skills of children and adolescents both increase gradually with age and are inconsistent across all age groups [
32]. In addition, as children and adolescents grow older, their cognitive abilities become more complex, and their fine motor development becomes more refined during subsequent growth and development [
33,
34]. Generally, the older you are, the easier it is to be proficient in a sport [
35]. Therefore, the percentage of children and adolescents who liked or were proficient in soccer gradually increased with age. However, it is worth noting that it is unsuitable for all children and adolescents. Some children and adolescents may show negative emotions during exercise due to their late physical development, poor physical mobility, ability to learn motor skills, and motor perception, which may lead to an aversion to this program [
36,
37]. As a result, being proficient in a sport is based entirely on participation in the program and having a certain liking and love for the sport, in order to motivate children and adolescents to like or be proficient in the program. In this study, the larger Chi-square values and smaller
p-values indicate a more significant variability, which is consistent with the significantly larger proportion of children and adolescents who participated than the percentage of those who liked or were proficient in soccer across all age groups. Conversion from participation to liking or ability in the soccer sports program shows wide variability across all regions and age groups.
Children and adolescents’ participation in soccer sports programs is influenced by many factors. Socioeconomic status is a general measure of a certain family class after understanding the relevant factors, such as educational level, income, and employment combined with economics and sociology [
38]. Dumuid [
39] and Kelishad et al. [
40] showed a significant effect of family economic status on the physical activity of children and adolescents due to the high economic status in cities, higher family income, high parental education, the increasing availability of sports facilities and soccer clubs in more economically developed areas, and the fact that parents with higher economic status are more willing to raise their children [
41]. The eastern regions are mostly coastal cities with more developed economies, and families in cities with higher socioeconomic status can be more supportive than rural families, where children and adolescents can learn more sports and join more sports activities [
42], which can be attributed to some extent to participation in soccer sports programs. This is consistent with the result that the distribution of the “soccer population” of children and adolescents in China is higher on the eastern coast. Minuchin [
43] elaborated on the dynamic systems view of the family environment, noting that families are composed of complex, multiple interdependent subsystems. In a follow-up study, it was found that children and adolescents’ choice of sports or active participation in physical activity was influenced by their parents’ physical activity behavior [
44]. In addition, the study showed that the higher the level of parental sports participation, the higher the children tend to show motivation [
45]. In a more in-depth study, Cong found that parental emotional support and encouragement had a significant effect on the increase in physical activity levels [
46]. In conclusion, when parents have a positive effect on their children’s participation in sports, they can accelerate the spread of the “soccer population” among children and adolescents.
The natural environment is also a very important factor that influences the participation or preference and ability of children and adolescents in soccer. Research has proven that the relationship between participation in sports and the natural environment is two-sided. Specifically, the sport is influenced by the natural environment, while the natural environment is influenced by the sport [
47]. Natural factors, in turn, show cross-correlations with the living environment, socioeconomic status, and sociocultural, and all these factors have a correlative effect on children and adolescents’ participation in soccer sports programs; therefore, the natural environment shows a correlation with participation in sports. More importantly, the soccer program requires soccer fields. Since soccer fields occupy an area of land, it is evident that the percentage of children and adolescents in the “soccer population” is higher in the eastern and central regions, both in economic terms and land area. The percentage of children and adolescents in the “soccer population” is negatively correlated with the average annual rainfall of each region due to the outdoor area.
Learning is at the core of children and adolescents’ development. Bauman [
21] proposed that individuals can be influenced by five levels: Individual level, interpersonal level, environmental level, policy level, and global level. In addition, the socio-ecological model of physical activity is present throughout an individual’s life. At the same time, it should be noted that the interpersonal level and the environmental level play a dominant role in childhood and adolescence. Children and adolescents are exposed to a sports program in the school environment that is entirely teacher-led, and in which their classmates participate. In the larger campus environment, students participate in a sport that can motivate them. In addition, children and adolescents exchange sports tips or sports anecdotes from the school sports program. Therefore, interpersonal communication is an effective way to promote the participation of children and adolescents in this sport. It allows children and adolescents, through the influence of their environment and relationships, to become dominant in the sport [
48] over time, from the beginning of their participation in soccer.
Sports facilities around the home, accessibility to sports venues, and the type and number of sports facilities that are suitable for children and adolescents influence children and adolescents’ participation in sports programs [
49,
50,
51]. The greater the number of sports facilities and venues and the greater the accessibility to sports venues, the higher the number of sports options for children and adolescents. This suggests that the better the sports facilities in the community, the more children and adolescents can become a “soccer population”. In addition, the safety of the sports environment is an issue of concern to parents, such as sports venues located in local cities with heavy traffic and congested roads. In this case, sports danger substantially increased for children and adolescents; therefore, when participating in sports, the safety of sports venues is important [
52]. This is consistent with the study results, and is an influential factor that affects the hindrance of children and adolescents when participating in sports programs.
The prerequisite for proficiency in soccer is participation in the sport [
53]. Regular contact with sports can have a positive effect on the development of the “soccer population” over time. In addition, motivation in sports is one of the important regulators that motivate individuals to participate in sports [
54]. The sport of soccer exhibits a high team-based level. By comparing children and adolescents who participated in soccer with those who did not, Nathan found that participation in the soccer program resulted in closer relationships with peers [
55]. This is consistent with the results of this study, since children and adolescents seek more all-around physical development as they get older. The greater the sense of self-efficacy obtained in the sport, the more motivated the individual will be to participate in the sport [
56]. By enhancing the self-efficacy of children and adolescents in soccer sports programs, this enabling factor accelerates its popularity.