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. 2022 Jul 12;17(7):566–576. doi: 10.1089/bfm.2021.0292

Table 1.

Characteristics by Lactation Group, Low Milk Supply Cohort Restricted to Those Who Completed the Follow-Up Test-Weigh Measurements

  External control group, n = 12
Low milk supply cohort
ap
Moderate/normal milk output nested controls (≥300 mL), n = 12
Severely low milk output cases (<300 mL), n = 18
Mean (SD) or Median [Q1–Q3] or %
Maternal and infant characteristics
 Maternal age, years 32 (4) 34 (4) 33 (6) 0.66
 College graduate 92% 100% 67% 0.05
 Primiparous 33% 50% 56% 0.54
 Vaginal delivery 83% 75% 50% 0.18
 Female infant 67% 50% 50% 0.73
 Newborn weight loss ≥10% 0% 75% 83% 0.0001
Lactation variables
 Milk output at baseline, g/24 hours 758 (71)
ab
539 (166)
b
162 (73)
c
<0.0001
 Breast emptying events at baseline 14 (4)
a
25 (8)
b
19 (6)
ab
0.001
 Postpartum day started baseline test-weigh 46 (13)
a
31 (14)
b
28 (17)
b
0.003
 Milk output increased, % n/a 58% 50% 0.72
 Maximum milk output, g/24 hours 758 (71)c
a
604 (151)
b
183 (72)
c
<0.0001
 Breast emptying events at maximum output 14 (4)c 20 (8) 17 (4) 0.06
 Postpartum day of maximum output 46 (13)c 53 (22)
40 (18) 0.18
 Postpartum day of final test-weigh 46 (13)c 65 (18) 55 (20) 0.20
 Max milk output ≥600 g/24 hours, % 100% 58% 0% <0.0001
Metabolic health variables
 Postpartum day of baseline lab measurements 51 (13)
a
35 (14)
b
30 (17)
b
0.003
 BMI, kg/m2 26.2 (6.6)
a
28.4 (4.2)
a
38.7 (8.3)
b
<0.0001
 BMI category
  Normal 58% 25% 6% 0.003
  Overweight 25% 42% 11%  
 Obese
  I (30.0–34.9) 0% 25% 17%  
  II (35.0–39.9) 8% 8% 28%  
  III (≥40.0) 8% 0% 39%  
dWaist circumference, cm 88.9 (12.3)
a
93.3 (10.1)
a
112.0 (15.5)
b
<0.0001
dFasting plasma glucose, mg/dL 85 (6)
a
85 (5)
a
92 (8)
b
0.007
 Fasting insulin, U/mL 4.6 [3.8–8.5]
a
6.8 [4.3–8.1]
ab
9.0 [5.9–17.1]
b
0.004
 Fasting c-peptide, ng/mL 1.38 [1.10–2.09]
a
1.63 [1.22–1.84]
a
2.36 [1.96–2.95]
b
0.0007
 HOMA-IRC-peptide 0.29 [0.22–0.47]
a
0.34 [0.24–0.41]
a
0.50 [0.43–0.74]
b
0.0006
dPlasma triglyceride, mg/dL 63 (29)
a
68 (15)
a
124 (60)
b
0.0005
dHDL cholesterol, mg/dL 70 (15)
a
61 (10)
ab
55 (13)
b
0.01
 LDL cholesterol, mg/dL 98 (28) 110 (33) 120 (39) 0.24
 Total cholesterol, mg/dL 181 (34) 184 (33) 199 (44) 0.38
dSystolic blood pressure, mm 103 (10)
a
105 (10)
a
117 (10)
b
0.0008
 Diastolic blood pressure, mm 67 (7)
a
69 (9)
a
80 (9)
b
0.0001
 Metabolic syndrome risk z-score −0.99 (0.67)
a
−0.68 (0.43)
a
+0.39 (0.73)
b
<0.0001
 Serum prolactin, basal, uIU/mL 1,193 [757–1,655]
n = 12
2,028 [1,524–2,734]
n = 6
677 [463–2,007]
n = 12
0.07
 Serum prolactin post breastfeeding, uIU/mL 4,071 [2,267–7,989]
n = 12
3,199 [2,504–8,539]
n = 6
3,351 [1,972–7,324]
n = 6
0.92
 Gestational diabetes mellitus 8% 0% 39% 0.02
 Polycystic ovary syndrome 17% 8% 22% 0.87

Notes: milk output, g/24 hours, is based on exclusively breastfed infant intake for external control group and on total milk output for the low milk supply cohort. Breast emptying events/24 hours is the sum of left breastfeeds + left breast expression sessions + right breastfeeds + right breast expression sessions, normalized to 24 hours. For the low milk supply cohort, prolactin was categorized as “basal” if the single blood draw was obtained at least 1.5 hours after the most recent breast emptying episode and categorized as “response” if obtained <90 minutes from the start of the most recent breast emptying episode. For the external control group, “basal” was obtained at least 2 hours after a breast emptying episode and “response” was obtained 30 minutes after the start of the most recent breast emptying episode. To convert prolactin values to ng/mL, divide by 21.2.

a

p-Value based on ANOVA for continuous variables or log-transformed continuous hormone variables, and Fisher's exact test for categorical variables.

b

Differing online letters denote significantly different means (p < 0.05) based on ANOVA post hoc Tukey–Kramer test.

c

Baseline values repeated to enable statistical comparison with follow-up time points in the low milk supply cohort.

d

This variable is a component of the metabolic syndrome risk z-score, which is an algorithm where 0, >0, and <0 z-scores signify average, worse than average, and better than average metabolic health profiles, respectively, as compared with all U.S. adults aged 20–65 years.

ANOVA, analysis of variance; BMI, body mass index; HDL, high-density lipoprotein; HOMA-IR, homeostatic model assessment of insulin resistance; LDL, low-density lipoprotein; SD, standard deviation.