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. Author manuscript; available in PMC: 2023 Mar 1.
Published in final edited form as: Birth. 2021 Aug 28;49(1):123–131. doi: 10.1111/birt.12583

TABLE 2.

Sociodemographic characteristics of participants who experienced spontaneous onset of labor according to meal skipping

Maternal and household characteristics Skipped 1 or more meals, % (N) Did not skip any meals, % (N)

24 hours prior to labor (N=172) Week prior to labor (N=79) 24 hours prior to labor (N=435) Week prior to labor (N=528)
Age, mean (SD)a, b 27.4 (5.9) 26.1 (6.1) 29.7 (5.2) 29.5 (5.2)

Race, % yesa, b
 Non-Hispanic, White 64.5 (111) 60.8 (48) 77.2 (336) 75.6 (399)
 Non-Hispanic, Black 25.0 (43) 25.3 (20) 12.9 (56) 15.0 (79)
 Asian or Pacific Islander 2.3 (4) 2.5 (2) 3.5 (15) 3.2 (17)
 Other (not specified) 8.1 (14) 11.4 (9) 6.4 (28) 6.3 (33)

Marital status, % yesa, b
 Single 32.0 (55) 36.7 (29) 15.9 (69) 18.0 (95)
 Married 62.8 (108) 55.7 (44) 82.3 (358) 79.9 (422)
 Separated or Divorced 5.2 (9) 7.6 (6) 1.8 (8) 2.1 (11)

Income (% of poverty level for 2001), % yesa, b
 ≤185 28.8 (47) 36.5 (27) 14.9 (63) 16.2 (84)
 186–350 28.2 (46) 28.4 (21) 17.3 (73) 19.1 (98)
 >350 42.9 (70) 35.1 (26) 67.9 (287) 64.7 (331)

Education ≤ 12 years, % yesa, b 28.0 (48) 35.4 (28) 10.6 (46) 12.5 (66)

Pre-pregnancy BMI (kg/m2), mean (SD)a, b 25.6 (6.8) 26.8 (8.3) 23.9 (5.1) 24.1 (5.1)

Nulliparous, % yesa 44.4 (76) 41.0 (32) 53.6 (233) 52.5 (277)

Gestational age (weeks), mean (SD)a 37.7 (3.4) 38.1 (2.3) 38.7 (2.0) 38.4 (2.5)
a

Statistically significant difference (P < .05) between participants who skipped 1 or more meals in the 24-hour period preceding their labor compared to those who did not. Statistical significance was determined using a paired t-test for continuous variables and a chi-square test for categorical variables.

b

Statistically significant difference (P < .05) between participants who skipped 1 or more meals in the 1-week period preceding their labor compared to those who did not. Statistical significance was determined using a paired t-test for continuous variables and a chi-square test for categorical variables.