Research Article

The Determinants of Adolescent Glycolipid Metabolism Disorder: A Cohort Study

Table 2

The glycolipid metabolism levels of adolescent according to perinatal and childhood experiences.

VariablesInsulin, median (IQR)dHOMA-IR, median (IQR)dTG, median (IQR)dTG/HDL, median (IQR)HbA1c, mean%e

Sample size2097197920182018932
Region
 Urban60.30 (41.30, 99.40)f1.70 (1.16, 2.79)f0.96 (0.77, 1.24)f0.67 (0.49, 0.96)5.34 ± 0.19f
 Rural55.65 (35.90, 86.50)1.56 (0.95, 2.34)0.90 (0.68, 1.22)0.66 (0.46, 0.96)5.40 ± 0.18
Anthropometric measures
 Sex
  Male57.10 (38.20, 93.85)f1.59 (1.05, 2.62)g0.91 (0.70, 1.21)f0.65 (0.46, 0.95)f5.37 ± 0.19
  Female62.00 (42.30, 97.60)1.71 (1.16, 2.75)0.98 (0.79, 1.26)0.69 (0.51, 0.97)5.37 ± 0.18
 Age, y
  ∼1053.50 (35.30, 80.00)af1.53 (1.01, 2.30)af0.91 (0.75, 1.17)0.64 (0.48, 0.85)ag5.39 ± 0.20
  ∼1157.70 (39.90, 91.70)b1.59 (1.09, 2.59)b0.94 (0.74, 1.25)0.67 (0.48, 0.97)ab5.36 ± 0.19
  ≥1267.50 (43.10, 112.40)c1.87 (1.19, 3.13)c0.97 (0.76, 1.26)0.69 (0.49, 0.98)b5.38 ± 0.18
 Pubertal development
  No60.70 (41.00, 99.40)1.71 (1.14, 2.83)f0.96 (0.76, 1.26)f0.68 (0.49, 0.98)g5.36 ± 0.20g
  Yes59.50 (39.30, 89.40)1.62 (1.05, 2.55)0.89 (0.69, 1.17)0.65 (0.45, 0.92)5.39 ± 0.18
 Dyslipidemia, in 2014
  No55.4 (37.4, 89.9)f1.59 (1.03, 2.58)g0.91 (0.73, 1.16)f0.62 (0.46, 0.82)f5.37 ± 0.20
  Yes59.2 (41.5, 108.1)1.64 (1.15, 2.99)1.02 (0.8, 1.35)0.78 (0·.56, 1.16)5.34 ± 0.21
 Obesity, in 2014
  Normal54.60 (36.90, 87.00)af1.52 (1.00, 2.43)af0.92 (0.73, 1.21)af0.64 (0.46, 0.90)af5.37 ± 0.18
  Overweight77.30 (51.20, 124.70)b2.10 (1.42, 3.27)b1.02 (0.84, 1.26)b0.72 (0.59, 1.03)b5.37 ± 0.17
  Obesity89.35 (52.80, 141.90)b2.55 (1.44, 3.91)b1.05 (0.80, 1.42)b0.79 (0.54, 1.13)b5.41 ± 0.20
 Obesity, in 2019
  Normal53.70 (37.20, 82.80)af1.49 (1.02, 2.33)af0.90 (0.72, 1.17)af0.63 (0.46, 0.87)af5.36 ± 0.18af
  Overweight79.80 (54.50, 124.65)b2.22 (1.51, 3.39)b1.10 (0.83, 1.39)b0.86 (0.61, 1.15)b5.39 ± 0.17ab
  Obesity96.80 (63.65, 150.40)c2.74 (1.78, 4.17)c1.14 (0.91, 1.48)b0.90 (0.66, 1.24)b5.42 ± 0.20b
 Abdominal obesity, in 2014
  Normal55.90 (37.80, 90.20)f1.58 (1.03, 2.56)f0.92 (0.73, 1.20)f0.65 (0.47, 0.90)f5.37 ± 0.18
  Abdominal obesity87.50 (52.40, 140.50)2.36 (1.36, 3.85)1.03 (0.81, 1.39)0.79 (0.55, 1.09)5.40 ± 0.19
 Abdominal obesity, in 2019
  Normal55.60 (38.20, 86.60)f1.55 (1.05, 2.47)f0.91 (0.73, 1.18)f0.64 (0.47, 0.89)f5.36 ± 0.18f
  Abdominal obesity90.40 (58.00, 144.70)2.55 (1·61, 4.05)1.17 (0.91, 1.50)0.92 (0.66, 1.27)5.40 ± 0.20

Perinatal measures
 Maternal prepregnancy obesity
  Low weight62.20 (41.70, 98.90)1.71 (1.16, 2.78)0.95 (0.75, 1.21)0.66 (0.49, 0.94)5.36 ± 0.20abg
  Normal weight56.00 (39.00, 92.50)1.58 (1.10, 2.60)0.96 (0.75, 1.29)0.70 (0.48, 0.99)5.34 ± 0.17a
  Overweight/obesity61.30 (42.10, 109.30)1.77 (1.14, 3.08)1.01 (0.75, 1.23)0.73 (0.50, 0.96)5.41 ± 0.16b
 Maternal pregnancy weight gain
  Below IOM guidelines62.40 (41.10, 100.30)1.73 (1.15, 2.73)0.92 (0.73, 1.17)ag0.65 (0.48, 0.90)5.37 ± 0.18
  Within IOM guidelines59.65 (39.30, 97.80)1.67 (1.05, 2.70)0.97 (0.77, 1.28)ab0.70 (0.49, 0.99)5.36 ± 0.22
  Above IOM guidelines61.20 (43.00, 96.80)1.70 (1.18, 2.73)0.99 (0.75, 1.24)b0.68 (0.51, 0.96)5.36 ± 0.16
 Premature delivery
  No59.90 (40.50, 96.10)1.65 (1.13, 2.69)0.94 (0.75, 1.22)0.67 (0.48, 0.95)5.36 ± 0.19
  Yes61.50 (41.20, 104.40)1.73 (1.12, 2.83)1.01 (0.77, 1.26)0.71 (0.49, 1.02)5.37 ± 0.18
 Fatal weight of pregnancy week
  SGA60.5 (40.4, 94.2)1.67 (1.13, 2.61)0.94 (0.74, 1.24)0.68 (0.48, 0.96)5.37 ± 0.19
  Appropriate for GA55 (39.3, 85.1)1.53 (1.04, 2.44)0.89 (0.73, 1.14)0.61 (0.44, 0.88)5.36 ± 0.14
  LGA61.3 (41.6, 105.3)1.71 (1.15, 3.04)0.95 (0.76, 1.21)0.67 (0.49, 0.95)5.35 ± 0.20
 Gestational hypertension
  No59.90 (40.40, 96.60)1.67 (1.13, 2.70)0.94 (0.75, 1.24)0.67 (0.48, 0.96)5.37 ± 0.19
  Yes59.70 (40.50, 88.55)1.62 (1.12, 2.61)0.99 (0.76, 1.32)0.70 (0.54, 1.06)5.35 ± 0.20
 Gestational diabetes
  No59.90 (40.20, 96.60)1.66 (1.12, 2.70)0.94 (0.75, 1.24)0.67 (0.48, 0.96)5.37 ± 0.19
  Yes73.00 (46.60, 90.20)1.92 (1.21, 3.00)1.01 (0.74, 1.22)0.70 (0.55, 0.97)5.41 ± 0.17
 Birth with Cesarean operation
  No57.40 (38.50, 93.90)1.60 (1.08, 2.61)0.93 (0.76, 1.23)0.67 (0.49, 0.96)5.36 ± 0.20
  Yes60.60 (41.55, 96.85)1.69 (1.15, 2.74)0.96 (0.75, 1.25)0.68 (0.48, 0.96)5.37 ± 0.18
 Breast-feeding
  No65.20 (40.50, 106.00)1.78 (1.13, 2.90)0.95 (0.8, 1.24)0.69 (0.54, 0.95)5.38 ± 0.18
  Yes59.50 (39.10, 96.20)1.62 (1.07, 2.72)0.92 (0.72, 1.23)0.65 (0.46, 0.96)5.38 ± 0.19

Socioeconomic measures
 Income, Yuan/year
  ∼50,00056.20 (38.35, 90.00)af1.57 (1.07, 2.55)af0.96 (0.75, 1.26)0.66 (0.48, 1.00)5.38 ± 0.20
  ∼150,00060.50 (40.00, 94.80)a1.64 (1.07, 2.64)a0.93 (0.76, 1.21)0.66 (0.48, 0.93)5.36 ± 0.19
  >150,00063.85 (42.60, 106.45)b1.79 (1.19, 3.09)b0.94 (0.73, 1.22)0.66 (0.48, 0.96)5.38 ± 0.17
 Marriage status
  Double parents59.90 (40.40, 96.20)1.67 (1.13, 2.70)0.94 (0.75, 1.24)g0.67 (0.48, 0.96)5.37 ± 0.19
  Single parents61.90 (40.10, 91.20)1.67 (1.11, 2.59)1.06 (0.80, 1.30)0.72 (0.51, 1.05)5.35 ± 0.22
 Mother’s education, y
  ∼956.10 (36.90, 93.50)af1.59 (0.97, 2.55)af0.94 (0.73, 1.25)0.66 (0.47, 0.97)5.37 ± 0.18
  ∼1258.20 (40.40, 92.60)ab1.62 (1.14, 2.62)ab0.93 (0.76, 1.23)0.66 (0.49, 0.96)5.38 ± 0.20
  ≥1563.85 (43.60, 100.25)b1.76 (1.22, 2.90)b0.96 (0.75, 1.23)0.68 (0.49, 0.95)5.36 ± 0.20
 Father’s education, y
  ∼954.85 (36.90, 90.60)af1.52 (0.97, 2.48)af0.93 (0.74, 1.22)0·65 (0.48, 0.94)5.38 ± 0.19
  ∼1258.95 (40.50, 92.00)a1.62 (1.15, 2.65)a0.94 (0.74, 1.22)0.66 (0.47, 0.96)5.38 ± 0.18
  ≥1564.40 (42.35, 105.70)b1.80 (1.17, 3.00)b0.97 (0.76, 1.26)0.69 (0.50, 0.97)5.36 ± 0.20
 Mother’s occupation
  Manager71.90 (43.10, 127.80)1.93 (1.16, 3.27)1.00 (0.75, 1.31)0.75 (0.48, 1.03)5.39 ± 0.22
  Worker60.50 (39.80, 92.60)1.67 (1.09, 2.66)0.95 (0.74, 1.26)0.67 (0.49, 0.97)5.38 ± 0.18
  Technician/researcher62.50 (45.50, 92.65)1.73 (1.38, 2.72)1.01 (0.7, 1.19)0.68 (0.46, 0.84)5.33 ± 0.15
  Farmer57.60 (39.70, 96.70)1.64 (1.09, 2.70)0.93 (0.75, 1.26)0.66 (0.48, 0.98)5.36 ± 0.19
  Other58.20 (40.00, 96.90)1.61 (1.13, 2.65)0.94 (0.76, 1.19)0.67 (0.47, 0.92)5.37 ± 0.19
 Father’s occupation
  Manager65.60 (41.90, 96.85)1.81 (1.17, 2.78)0.94 (0.77, 1.24)0.68 (0.50, 0.91)5.40 ± 0.20
  Worker58.65 (38.90, 89.90)1.62 (1.05, 2.55)0.94 (0.74, 1.23)0.66 (0.49, 0.97)5.37 ± 0.19
  Technician/researcher61.10 (39.50, 116.30)1.69 (1.07, 3.39)0.96 (0.73, 1.26)0.69 (0.46, 0.96)5.34 ± 0.23
  Farmer57.00 (40.10, 94.80)1.62 (1.14, 2.67)0.94 (0.75, 1.28)0.67 (0.48, 0.98)5.38 ± 0.19
  Other60.05 (40.70, 99.50)1.69 (1.16, 2.83)0.94 (0.76, 1.17)0.66 (0.49, 0.95)5.37 ± 0.16

a,b,cDifference of post hoc analyses among groups; different letters mean the difference existed between two groups. dNatural logarithmic transformation was used to calculate the value. e932 samples were included. f; g. SGA: small for gestational age, GA: gestational age, LGA: large for gestational age.