Skip to main content
. 2021 Dec 23;18(1):56–66. doi: 10.1089/chi.2021.0090

Table 2.

Baseline Characteristics of Youth and Parents

  n (%) KNF
KNF junior
pc
n (%) or mean SDa n (%) or mean SDa
Total youth 180 (100) 108 (60) 72 (20)  
 Female 98 (54.4) 56 (51.8) 42 (58.3) 0.4
 Male 82 (45.5) 52 (48.1) 30 (41.6)  
Age 180 (100) 11.63 (2.3) 5.93 (1.2) <0.01
Race/Ethnicity 175 (100) 105 (60) 70 (40) 0.1
 Hispanic or Latinx 140 (80) 84 (80) 56 (80)  
 African American or Black 8 (4.57) 7 (6.6) 1 (1.4)  
 White 8 (4.57) 6 (5.7) 2 (2.8)  
 Asian 2 (1.14) 2 (1.9) 0 (0.0)  
 American Indian 1 (0.57) 0 (0.0) 1 (1.4)  
 Some other race 2 (1.14) 1 (0.9) 1 (1.4)  
 Mix 14 (8.00) 5 (4.7) 9 (12.8)  
BMI 177 (100) 30.17 (5.5) 24.13 (4.3) <0.01
zBMI 177 (100) 2.25 (0.5)b 2.50 (0.7)b 0.02 d
BMI percentile 177 (100) 99.00 (2.0)b 99.00 (0.7)b <0.01 d
Waist circumference 174 (100) 99.91 (14.4) 78.07 (10.9) <0.01
Total parents 184 (100) 108 (58.7) 76 (41.3)  
Parent age 178 (100) 39.90 (7.81) 37.11 (8.69) 0.03
Parent gender 179 (100)     0.6
 Female 152 (84.9) 89 (83.9) 63 (86.3)  
 Male 27 (15.0) 19 (17.9) 13 (17.1)  
Parent BMI 159 (100) 32.0 (6.4) 33.2 (6.5) 0.2
Parent body fat% 159 (100) 38.3 (7.5) 39.8 (8.2) 0.2
Parent waist circumference 152 (100) 104.4 (14.2) 108.5 (16.9) 0.1
Parent race 175 (100) 106 (60.5) 69 (39.4) 0.4
 Hispanic or Latinx 141 (80.5) 85 (80.1) 56 (81.1)  
 African American or Black 10 (5.7) 8 (7.5) 2 (2.9)  
 White 11 (6.2) 7 (6.6) 4 (5.8)  
 Asian 2 (1.1) 2 (1.8) 0 (0)  
 American Indian 1 (0.5) 0 (0.0) 1 (1.4)  
 Some other race 2 (1.1) 1 (0.9) 1 (1.4)  
 Mix 8 (4.5) 3 (2.8) 5 (7.2)  
Household income 168 (100) 104 (61.9) 64 (38.1) 0.7
 Less than $10,000 47 (27.9) 32 (30.7) 15 (23.4)  
 $10,000 to $29,999 57 (33.9) 36 (34.6) 21 (32.8)  
 $30,000 to $49,999 34 (20.2) 20 (19.2) 14 (21.8)  
 $50,000 to $89,999 16 (9.5) 7 (6.5) 9 (14.0)  
 $90,000+ 14 (8.3) 9 (8.6) 5 (7.81)  
Highest education level 175 (100) 106 (60.5) 69 (39.4) 0.04
 Up to 8th grade 32 (18.2) 24 (22.6) 8 (11.5)  
 Some high school (HS) 20 (11.4) 16 (15.0) 4 (5.8)  
 HS diploma or graduate equivalency degree 35 (20.0) 18 (16.9) 17 (24.6)  
 Some college 41 (23.4) 19 (17.9) 22 (31.8)  
 Associates 17 (9.7) 10 (9.4) 7 (10.1)  
 Bachelor's 22 (12.5) 15 (14.1) 7 (10.1)  
 Master's/professional 6 (3.4) 2 (1.8) 4 (5.8)  
 Doctorate 2 (1.1) 2 (1.8) 0 (0.0)  
Marital status 164 (100) 99 (60.3) 65 (39.6) 0.2
 Single 70 (42.6) 43 (43.4) 27 (41.5)  
 Married 58 (35.3) 35 (35.3) 23 (35.3)  
 Divorced/separated 7 (4.2) 6 (6.0) 1 (1.5)  
 Widowed 12 (7.3) 8 (8.0) 4 (6.1)  
 Living with partner 16 (9.7) 6 (6.0) 10 (15.3)  
 Other 1 (0.6) 1 (1.0) 0 (0.0)  

Bolded numbers on this “p” column represents “statistically significant.”

a

Categorical variables presented as counts and percent, while continuous variables were presented as mean and SD.

b

Continuous variables were presented as median and interquartile range, while there is non-normal distribution

c

p-Value test for association between KNF status and categorical risk factors is chi-square test, while p-value test for association between KNF status and continuous risk factors is using independent t-test. All are using 0.05 as significant level.

d

p-Value test for association between KNF status and continuous risk factors is using Mann–Whitney U test (Wilcoxon rank-sum test) while there is non-normal distribution. All use 0.05 as significance level.

SD, standard deviation; zBMI, BMI z-score.