| Literature DB >> 35209870 |
Yiyan Li1, Tang Zhou1, Yanhua Lu1, Menghao Sang1, Jiajia Liu1, Xiaolong He2, Minghui Quan3,4.
Abstract
BACKGROUND: Inhibitory control develops rapidly during the preschool stage, and development of inhibitory control in this period is significant for the healthy growth of the future. However, most studies paid more attention to children and adolescents in recent years, but less focus on preschool children. Therefore, the purpose of this study was to explore the association between the health-related physical fitness and inhibitory control in preschool children.Entities:
Keywords: Flanker task; Health-related physical fitness; Inhibitory control; Preschool children; Reaction time
Mesh:
Year: 2022 PMID: 35209870 PMCID: PMC8867775 DOI: 10.1186/s12887-022-03163-y
Source DB: PubMed Journal: BMC Pediatr ISSN: 1471-2431 Impact factor: 2.125
Fig. 1Fish Flanker Task
Fig. 2Flow of the participants screening in this study
Basic information for the participants
| Characteristics | Boys( | Girls( | Total( | |
|---|---|---|---|---|
| Age (years) | 4.85 ± 0.36 | 4.92 ± 0.41 | 4.88 ± 0.38 | 0.324 |
| Height (cm) | 111.73 ± 4.95 | 109.57 ± 4.52 | 110.76 ± 4.86 | |
| Weight (kg) | 20.40 ± 3.44 | 18.41 ± 2.40 | 19.50 ± 3.16 | |
| ACC (%) | 85.91 ± 13.68 | 85.32 ± 14.82 | 85.65 ± 14.15 | 0.752 |
| RT (ms) | 1236.14 ± 309.73 | 1249.35 ± 290.74 | 1242.09 ± 300.15 | 0.975 |
| Mother’s education, n (%) | 0.913 | |||
| Below high school | 2 (3.12%) | 1 (2.08%) | 3 (2.68%) | |
| Junior high school | 6 (9.38%) | 4 (8.33%) | 10 (8.93%) | |
| Senior high school | 12 (18.75%) | 11 (22.92%) | 23 (20.54%) | |
| College/associate degree | 34 (53.12%) | 27 (56.25%) | 61 (54.46%) | |
| B.D. | 10 (15.62%) | 5 (10.42%) | 15 (13.39%) | |
| M.D. / Ph.D. | 2 (3.12%) | 1 (2.08%) | 3 (2.68%) | |
| Per capita household income (RMB/year) | 0.731 | |||
| < 9000 | 4 (6.25%) | 4 (8.33%) | 8 (7.14%) | |
| 9000-30,000 | 13 (20.31%) | 7 (14.58%) | 20 (17.86%) | |
| 30,000-100,000 | 19 (29.69%) | 18 (37.50%) | 37 (33.04%) | |
| > 100,000 | 28 (43.75%) | 19 (39.58%) | 47 (41.96%) | |
| BMI (kg/m2) | 16.29 ± 2.14 | 15.29 ± 1.29 | 15.84 ± 1.87 | |
| Normal | 47 (71.21%) | 44 (84.62%) | 91 (77.12%) | |
| Overweight | 6 (9.09%) | 8 (15.38%) | 14 (11.86%) | |
| Obesity | 13 (19.70%) | 0 (0.00%) | 13 (11.02%) | |
| Handgrip strength(kg) | 6.15 ± 2.18 | 4.88 ± 2.10 | 5.58 ± 2.23 | |
| Standing long jump (cm) | 85.65 ± 15.68 | 85.34 ± 12.14 | 85.06 ± 14.15 | 0.555 |
| One-leg balance(s) | 10.25 ± 8.26 | 14.75 ± 9.79 | 12.27 ± 9.22 | |
| 2 × 10 m SRT (s) | 7.30 ± 0.80 | 7.35 ± 0.73 | 7.32 ± 0.77 | 0.642 |
| 20 m SRT (laps) | 13.85 ± 4.67 | 13.19 ± 3.74 | 13.55 ± 4.27 | 0.430 |
| 299.62 ± 36.59 | 298.74 ± 32.86 | 299.22 ± 34.82 | 0.800 | |
Continuous variables are resented as mean ± standard deviation, and classified variables are resented as percentage (%). Statically significant values are in bold
Associations of HPF and Inhibitory control in preschool children
| HPF | Accuracy, | Reaction time, | ||
|---|---|---|---|---|
| Handgrip strength (kg) | 0.06 (-1.09, 1.21) | -0.80 (-2.01, 0.41) | -17.54 (-41.64, 6.56) | -17.76 (-46.27, 10.75) |
| Handgrip strength-tertile (kg) | ||||
| T1(1.00—4.50) | REF. | REF. | REF. | REF. |
| T2(4.60—5.75) | -0.96 (-7.64, 5.72) | -2.97 (-9.65, 3.70) | -65.54 (-206.98, 75.90) | -74.27 (-231.42, 82.87) |
| T3(6.00—12.00) | 1.07 (-4.88, 7.02) | -3.34 (-9.72, 3.03) | -40.41 (-166.37, 85.55) | -39.76 (-189.78, 110.27) |
| 0.70 | 0.32 | 0.55 | 0.65 | |
| Standing long jump (cm) | 0.11 (-0.07, 0.29) | 0.03 (-0.15, 0.21) | -3.56 (-7.33, 0.21) | -3.51 (-7.60, 0.58) |
| Standing long jump-tertile (cm) | ||||
| T1(47.00—81.00) | REF. | REF. | REF. | REF. |
| T2(81.20—90.40) | 5.93 (-0.23, 12.09) | 2.59 (-3.81, 8.98) | -76.40 (-207.10, 54.30) | -62.52 (-211.50, 86.46) |
| T3(91.00—118.00) | 3.03 (-3.13, 9.19) | -0.45 (-6.63, 5.72) | -124.56 (-255.26, 6.14) | -123.00 (-266.81, 20.81) |
| 0.34 | 0.86 | 0.06 | 0.10 | |
| One-leg balance (s) | 0.14 (-0.13, 0.42) | 0.09 (-0.22, 0.40) | ||
| One-leg balance-tertile (s) | ||||
| T1(1.80—7.60) | REF. | REF. | REF. | REF. |
| T2(7.70—13.00) | 0.30 (-5.76, 6.37) | -0.37 (-6.41, 5.66) | -64.02 (-190.94, 62.90) | -78.86 (-215.49, 57.78) |
| T3(13.10—49.40) | 7.34 (1.27, 13.41) | 5.82 (-0.96, 12.60) | ||
| 0.02 | 0.11 | |||
| 2 × 10 m SRT (s−1) | 2.93 (-0.34, 6.21) | 0.66 (-2.71, 4.03) | -50.82 (-120.64, 19.00) | -53.42 (-132.07, 25.24) |
| 2 × 10 m SRT-tertile (s−1) | ||||
| T1(-9.21—-7.58) | REF. | REF. | REF. | REF. |
| T2(-7.55—-6.90) | 2.95 (-3.27, 9.17) | 0.58 (-5.64, 6.80) | 68.39 (-60.53, 197.31) | 39.89 (-104.04, 183.83) |
| T3(-6.88—-5.80) | 3.13 (-3.09, 9.35) | -0.52 (-7.12, 6.07) | -103.14 (-232.06, 25.78) | -95.65 (-248.24, 56.94) |
| 0.32 | 0.89 | 0.12 | 0.26 | |
| 20 m SRT (laps) | 0.58 (-0.01, 1.16) | 0.18 (-0.44, 0.79) | ||
| 20m SRT-tertile (laps) | ||||
| T1(5.00—10.00) | REF. | REF. | REF. | REF. |
| T2(11.00—13.00) | 7.80 (1.13, 14.47) | 4.39 (-2.91, 11.70) | -61.70 (-201.01, 77.62) | -56.11 (-221.69, 109.46) |
| T3(14.00—25.00) | 6.07 (-0.20, 12.33) | 1.46 (-5.56, 8.48) | ||
| 0.10 | 0.92 | |||
| BMI scores | -1.23 (-2.81, 0.36) | -2.04 (-3.58, -0.50) | 4.11 (-29.79, 38.02) | 6.25 (-31.07, 43.57) |
| 0.04 (-0.03, 0.12) | -0.02 (-0.10, 0.05) | |||
| T1 (218.45—280.85) | REF. | REF. | REF. | REF. |
| T2 (281.69—316.54) | 4.49 (-1.70, 10.69) | 2.10 (-4.30, 8.50) | 23.90 (-103.98, 151.77) | -10.14 (-158.64, 138.37) |
| T3 (317.13—376.97) | 2.25 (-3.95, 8.45) | -3.38 (-9.88, 3.12) | ||
| 0.48 | 0.30 | |||
Model 1: No Adjust. Model 2: Adjusting for age, sex, mother’s education, and household income. Statically significant values are in bold
Fig. 3Association between HPFT and RT. The red solid line shows the fitted curves, and the blue dot lines show the 95% CI after adjusting for age, sex, mother’s education, and household income
Threshold effect analysis between HPFT and RT
| HPFT | RT (β, 95%CI) | |
|---|---|---|
| Model 1 | Model 2 | |
| <249 | 1.92 (-1.93, 5.77) | 13.36 (-1.36, 28.07) |
| >249 |
|
|
| Likelihood Ratio |
|
|
Model 1: No adjust. Model 2: Adjusting for age, sex, mother’s education and household income. Statically significant values are in bold