Research Article

Risk Factors Associated with Poor Physical Fitness in Three- to Six-Year-Old Children in Tujia-Nationality Settlement of China

Table 2

Parental characters connected with the children’s physical fitness.

Variable/Category Physical fitness assessment scoreTotalΧ2P
Pass (%)Fail (%)

Father’s educationMiddle school604 (72.2)232 (27.8)8324.1240.001
High school622 (77.0)186 (23.0)808#
College407 (84.1)77 (15.9)484

Mother’s educationMiddle school748 (73.4)271 (26.6)10117.1570.001
High school600 (77.9)170 (22.1)770#
College285 (84.1)54 (15.9)339

Father’s employment classificationWhite-collar workers554 (79.5)143 (20.5)6912.0350.002
Blue-collar workers in urban684 (78.0)193 (22.0)877#
Blue-collar workers in rural395 (71.6)157 (28.4)552

Mother’s employment classification...320 (80.6)77 (19.4)398.8080.012
Blue-collar in urban840 (77.6)242 (22.4)1082
Blue-collar in rural471 (73.0)174 (27.0)645

Father’s BMNormal1279 (75.7)411 (24.3)16905.2930.021
Overweight-obese348 (80.9)82 (19.1)430

Mather’s BMINormal1565 (77.0)468 (23.0)20331.2290.304
Overweight-obese64 (71.9)25 (28.1)89

Father’s child bearing age (yr)<2015 (57.7)11 (42.3)27.6960.021
≥20,<351483 (76.6)453 (23.4)1936
≥35135 (81.8)30 (18.2)165

Mother’s child bearing age (yr)<20110 (62.5)66 (37.5)1721.9370.001
≥20,<351474 (78.0)416 (22.0)1890
≥3547 (79.7)12 (20.3)59

= body mass index; , the significant difference of father’s education between middle school and college, the significant difference of mother’s education between middle school and college, the significant difference of father’s employment classification between white-collar worker and blue-collar workers in rural, the significant difference of mother’s employment classification between white-collar worker and blue-collar workers in rural, the significant difference of father’s child bearing age between less than 20 years and 20~35 years, and the significant difference of mother’s child bearing age between less than 20 years and 20~35 years; #the significant difference of father’s education between high school and college, the significant difference of mother’s education between high school and college, the significant difference of father’s employment classification between blue-collar workers in urban and blue-collar workers in rural, the significant difference of father’s child bearing age between less than 20 years and more than 35 years, and the significant difference of mother’s child bearing age between less than 20 years and more than 35 years. All the categorized variables were made by using Chi-square test.