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. 2017 Nov 23;14(2):e12561. doi: 10.1111/mcn.12561

Table 3.

Associations reported between maternal prepregnancy BMI or weight and offspring's later BP of the 16 studies included

First author;

Year;

Country

Statistical analysis Adjustment Outcome Adjusted effect estimate

Daraki; 2015;

Greece

Multivariable regression analyses

Maternal variables: Age (delivery), smoking during pregnancy, parity, education level (stratified low, medium, and high), and GWG.

Offspring variables: Birthweight, breastfeeding duration, and TV watching at 4 years of age.

SBP ß [95% CI], 0.21 [−0.24, 0.67]; p ≥ .05
DBP ß [95% CI], −0.10 [−0.54, 0.33]; p ≥ .05

Derraik; 2015;

New Zealand

Multivariable regression analyses

Maternal variable: Height.

Offspring variables: Sex, age, birthweight standard deviation scores, and birth order.

SBP (daytime) ß [95%], 0.79 [0.20, 1.39]; p = .01
SBP (night‐time) ß [95%], 0.80 [0.15, 1.45]; p = .017
DBP (daytime) ß [95%], 0.44 [−0.01, 0.89]; p ≥ .05
DBP (night‐time) ß [95%], 0.20 [−0.27, 0.66]; p ≥ .05
MAP ß [95%], 0.51 [0.07, 0.95]; p = .025

Eisenman; 2010;

USA

Comparison of offspring of prepregnancy normal‐weight mothers (BMI < 25 kg/m2) versus offspring of prepregnancy overweight mothers (BMI > 25 kg/m2) SBP Normal‐weight mmHg ± SD, 104.2 ± 8.8
Overweight mmHg ± SD, 106.6 ± 9.1; p ≥ .05
DBP Normal‐weight mmHg ± SD, 69.3 ± 7.0
Overweight mmHg ± SD, 72.2 ± 7.2; p ≥ .05
MAP Normal‐weight mmHg ± SD, 80.9 ± 6.7
Overweight mmHg ± SD, 83.7 ± 7.0; p ≥ .05
Additional adjustment for offspring variables: Sex, age, height, and %BF MAP Normal‐weight mmHg ± SD, 81.2 ± 0.5
Overweight mmHg ± SD, 83.2 ± 0.9; p < .05

Filler; 2011;

UK

Correlation NR SBP Spearman rank correlation, r = .09; p < .0001
DBP Spearman rank correlation, r = .06; p = .0007

Fraser; 2010;

UK

Multivariable regression analyses

Maternal variables: Age at birth, smoking in pregnancy, GWG in previous period, parity, head of household social class, mode of delivery, and prepregnancy weight.

Offspring variables: Sex, age, height squared, and fat mass for height.

SBP ß [95%], 0.108 [0.087, 0.130]; p < .05
DBP ß [95%], 0.028 [0.013, 0.043]; p < .05

Gademan; 2013;

Netherlands

Multivariable regression analyses Maternal variables: Ethnicity, age, smoking, parity, education, height, and hypertension during pregnancy. SBP ß [95%], 0.14 [0.07, 0.21]; p < .05
Offspring variables: Age at time of outcome measurement, sex, gestational age, and height. DBP ß [95%], 0.11 [0.05, 0.17]; p < .05
Additional adjustment for offspring's variable: Birthweight SBP ß [95%], 0.16 [0.09, 0.23]; p < .05
DBP ß [95%], 0.13 [0.07, 0.19]; p < .05
Additional adjustment for offspring's variable: Current BMI SBP ß [95%], 0.07 [0.00, 0.14]; p ≥ .05
DBP ß [95%], 0.07 [0.01, 0.13]; p < .05

Gaillard; 2016;

Netherlands

Multivariable regression analyses

Maternal variables: Age, ethnicity, smoking during pregnancy, parity, education level, caesarean delivery, alcohol consumption during pregnancy, folic acid supplement use, and total calorie intake during pregnancy.

Paternal variables: Age, education level, and ethnicity.

Offspring variables: Sex, age, breastfeeding duration, average duration of TV watching, and timing of introduction of solid food.

SBP ß [95%], 0.08 [0.05, 0.11]; p < .05
DBP ß [95%], 0.02 [−0.01, 0.05]; p ≥ .05
Additional adjustment for offspring's variable: Birth characteristics SBP ß [95%], 0.08 [0.05, 0.11]; p < .05
DBP ß [95%], 0.03 [0.0, 0.06]; p ≥ .05
Additional adjustment for offspring's variable: Current BMI SBP ß [95%], 0.02 [−0.01, 0.05]; p ≥ .05
DBP ß [95%], 0.0 [−0.03, 0.03]; p ≥ .05
Fully adjusted model: Including all potential variables (see above) and intermediates (pregnancy complications, GWG, birth characteristics, infant growth, and current BMI) SBP ß [95%], 0.04 [0.01, 0.07]; p < .05
DBP ß [95%], 0.01 [−0.03, 0.04]; p ≥ .05

Gaillard; 2014;

Australia

Multivariable regression analyses

Maternal variables: Age, ethnicity, smoking during pregnancy, parity, education level, GWG rate, household income, gestational hypertension disorders, caesarean delivery, and gestational diabetes.

Paternal variable: BMI.

Offspring variables: Sex, age, gestational age at birth, weight and length at birth, breastfeeding duration, infant length and weight growth, adolescent Tanner stage, alcohol consumption, dietary intake, physical activity, and sedentary behaviour.

SBP ß [95%], 0.08 [0.03, 0.14]; p < .01
DBP ß [95%], 0.0 [−0.06, 0.07]; p ≥ .05
Additional adjustment for offspring's variable: Current BMI SBP ß [95%], 0.01 [−0.05, 0.07]; p ≥ .05
DBP ß [95%], 0.01 [−0.06, 0.08]; p ≥ .05

Hochner; 2012;

Israel

Multivariable regression analyses Maternal variables: Age, ethnicity, smoking, parity, years of education, SES, and medical condition. SBP ß [95%], 0.44 [0.15, 0.73]; p = .003
Offspring variables: Sex, birthweight, gestational week, physical activity, smoking status, and years of education. DBP ß [95%], 0.29 [0.05, 0.05]; p = .017
Additional adjustment for offspring's variable: Current BMI SBP ß [95%], 0.08 [−0.21, 0.36]; p = .59
DBP ß [95%], −0.003 [−0.23, 0.23]; p = .983

Laor; 1997;

Israel

Multivariable regression analyses

Maternal variables: Ethnic origin and BMI.

Offspring variables: Birthweight and weight at age 17.

SBP

Women:

ß [95%], −0.12 [−0.37, 0.14]; p ≥ .05

Men:

ß [95%], −0.03 [−0.23, 0.18]; p ≥ .05

DBP

Women:

ß [95%], 0.001 [−0.18, 0.18]; p ≥ .05

Men:

ß [95%], 0.11 [−0.03, 0.25]; p ≥ .05

Lawlor; 2004;

Australia

Multivariable regression analyses

Maternal variables: Age, smoking, maternal education, family income during year of pregnancy, and prepregnancy BMI (continuous).

Offspring variables: Sex, age, and birth order.

SBP ß [95%], 0.70 [0.39, 1.04]; p < .05
Additional adjustment for offspring's variable: Birthweight SBP ß [95%], 0.65 [0.20, 0.91]; p < .05
Additional adjustment for offspring's variables: Weight and height at age 5 years SBP ß [95%], 0.38 [0.04, 0.72]; p < .05

Marshall; 2011;

USA

Correlation NR MAP Correlation coefficient, r = .35–.53; p < .05

Morrison; 2013;

Canada

Multivariable regression analyses Offspring variables: Sex, age, and newborn's age at birth visit. SBP Data not reported; p ≥ .05
DBP Data not reported; p ≥ .05

Perng; 2014

USA

Multivariable regression analyses

Maternal variables: Age, race or ethnicity, smoking habits during pregnancy, parity, and annual household income.

Paternal variable: BMI.

Offspring variables: Sex, age at midchildhood examination, and height z‐score.

SBP ß [95%], 0.77 [0.27, 1.27]; p < .05
Additional adjustment for maternal variable: GWG SBP ß [95%], 0.74 [0.22, 1.25]; p < .05
Additional adjustment for offspring's variable: DXA total fat mass index. SBP ß [95%], 0.29 [−0.28, 0.86]; p ≥ .05

Wen; 2011;

USA

Multivariable regression analyses

Maternal variables: Age at pregnancy, race, parity, family socio‐economic status percentile, and marital status.

Offspring variables: Sex, gestational age, and small for gestational age.

SBP

Underweight:

ß [95%], −0.85 [−1.14, −0.56]; p < .05

 

Overweight:

ß [95%], 0.89 [0.52, 1.26]; p < .05

Additional adjustment for offspring's variables: Childhood BMI at birth, change from birth to 1 year, and change from 1 to 7 years. SBP

Underweight:

ß [95%], 0.02 [−0.27, 0.30]; p ≥ .05

 

Overweight:

ß [95%], −0.04 [−0.40, 0.31]; p ≥ .05

West; 2011;

USA

Multivariable regression analyses Offspring variable: Current BMI. SBP Data not reported; p > .10
DBP Data not reported; p > .10

Note. BMI = body mass index; BF = body fat; BP = blood pressure; DBP = diastolic blood pressure; DXA = dual energy X‐ray absorptiometry; GWG = gestational weight gain; MAP = mean arterial pressure; NR = not reported; SBP = systolic blood pressure; SD = standard deviation; SES = socio‐economic status.