| Literature DB >> 32244279 |
Omar N Lweno1, Christopher R Sudfeld2, Ellen Hertzmark2, Karim P Manji3, Said Aboud3, Ramadhani A Noor2, Honorati Masanja1, Nahya Salim3, Setareh Shahab-Ferdows4, Lindsay H Allen5, Wafaie W Fawzi2.
Abstract
The effect of maternal multivitamin supplementation on breast milk vitamin B12 concentrations has not been examined in Tanzania, where the prevalence of maternal plasma B12 insufficiency is 25.6%. Multivitamins (containing 50 µg vitamin B12) or placebo were provided during pregnancy and in the postpartum period. Breast milk samples were collected at or around six weeks postpartum from 491 participants in a trial of multivitamins (NCT00197548). Linear and logistic regression models were used to examine the effect of supplements on vitamin B12 concentration in milk and its associations with other variables including potential confounders. Median vitamin B12 concentration in breast milk was 206 pmol/L and 70% of women had levels indicating inadequacy (<310 pmol/L). Multivitamin supplements did not significantly reduce the odds of inadequate vitamin B12 in breast milk, suggesting suboptimal absorption. A single unit increase in maternal hemoglobin at six weeks was associated with 18% lower odds of inadequate vitamin B12 in breast milk. Participants with higher BMI at baseline had double the odds of having inadequate vitamin B12 than the reference group (<22 kg/m2). Trials to determine the optimal dose, route, and duration of supplementation to improve maternal B12 status in Sub-Saharan Africa are of utmost importance.Entities:
Keywords: Urban Tanzania; breast milk; postpartum; supplementation; vitamin B12
Mesh:
Substances:
Year: 2020 PMID: 32244279 PMCID: PMC7230874 DOI: 10.3390/nu12040963
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Distribution of Breast milk vitamin B12 concentrations at 6th weeks postpartum visit among Human Immunodeficiency Virus (HIV) negative women in Urban Tanzania.
Baseline characteristics of postpartum mothers included in the study of 6-weeks postpartum breast milk concentration among HIV-negative women in Dar es Salaam, Tanzania.
| Variable | Multivitamin | Placebo |
|---|---|---|
| Socio-demographic characteristics | ||
| Maternal education (years) | ||
| 0–4 | 27(10.9) | 28(11.5) |
| 5–7 | 156(63.2) | 154(63.1) |
| 8–11 | 40(16.2) | 46(18.9) |
| 12+ | 22(8.9) | 14(5.7) |
| Marital status | ||
| Unmarried | 21(8.5) | 30(12.3) |
| Married/Co-habiting | 222(89.9) | 211(86.5) |
| Wealth score | ||
| At or above median | 138(55.9) | 133(54.5) |
| Below median | 106(42.9) | 109(44.7) |
| Minimum Dietary Diversity Score (MDD-W) | ||
| Less than 5 groups | 238(99.6) | 233(97.9) |
| 5 or more groups | 1(0.4) | 5(2.1) |
| Dietary intake median (IQR) | ||
| Calorie intake (kcal/day) | 2264.9(1790,2675) | 2273.6(1806,2753) |
| Dietary Vit B12 intake (µg/d) median (IQR) | 2.9(1.5,8.4) | 3.4(1.4,8.0) |
| Tertiles of B12 intake (µg/d) | ||
| 1st (Less than 1.85) | 83(33.6) | 74(30.3) |
| 2nd (1.85–5.97) | 74(30.0) | 83(34.0) |
| 3rd (more than 5.97) | 84(34.0) | 77(31.6) |
| Total protein intake (g/d) median (IQR) | 82.5(59.8,115.3) | 81.9(59.2,104.6) |
| Tertiles of total protein intake(g/d) | ||
| 1st (Less than 65.5) | 77(31.2) | 80(32.8) |
| 2nd (65.5–98.9) | 80(32.4) | 77(31.6) |
| 3rd (more than 98.9) | 84(34.0) | 77(31.6) |
| Animal protein intake (g/d) median (IQR) | 29.5(20.1,43.5) | 30.2(19.5,44.1) |
| Tertiles of animal protein (g/d) | ||
| 1st (Less than 22.8) | 77(31.2) | 81(33.2) |
| 2nd (22.8–37.0) | 81(32.8) | 76(31.2) |
| 3rd (more than 37.0) | 83(33.6) | 77(31.6) |
| Pregnancy Characteristics | ||
| Gestational age at enrolment (weeks) mean (SD) | 21.4(3.2) | 21.4(3.2) |
| Gestational age at enrolment | ||
| At or beyond 20 weeks | 167(67.6) | 163(66.8) |
| Less than 20 weeks | 80(32.4) | 81(33.2) |
| Biochemical data | ||
| Breast milk B12 (pmol/L) median (IQR) | 229(171,379) | 198(172,314.5) |
| Baseline hemoglobin (g/dL) mean (SD) | 10.4(1.3) | 10.3(1.4) |
| Hemoglobin at 6 weeks (g/dL) mean (SD) | 12.3(1.9) | 12.0(1.5) |
| Hb categories at 6 weeks (g/dL) | ||
| <8.5 | 10(4.1) | 5(2.1) |
| 8.5–10.9 | 31(12.6) | 47(19.3) |
| >=11.0 | 202(81.8) | 188(77.1) |
| Baseline anthropometry | ||
| Body mass index(BMI) mean (SD) | 25.1(3.9) | 24.4(3.9) |
| Baseline categories of BMI (kg/m2) | ||
| <22.0 | 50(20.2) | 70(28.7) |
| 22.0–24.9 | 72(29.2) | 75(30.7) |
| 25.0–29.9 | 80(32.4) | 58(23.8) |
| >=30 | 24(9.7) | 21(8.6) |
| Pregnancy History | ||
| Parity | ||
| 0 | 93(38.0) | 101(41.7) |
| 1 | 70(28.6) | 76(31.4) |
| 2 | 41(16.7) | 36(14.9) |
| 3+ | 41(16.7) | 29(12.0) |
Percent may not add to 100% because of rounding and missing numbers.
Figure 2Boxplots comparing the median breast milk vitamin B12 concentrations at 6th week postpartum visit between women in the multivitamin and placebo groups in Urban Tanzania.
Effect of multivitamin supplements containing 50 mcg of Vitamin B12 concentration on breast milk vitamin B12 concentration among HIV-negative women at 6-weeks postpartum in Dar es Salaam Tanzania.
| Study Regimen | Breastmilk B12 Concentration (Linear B12) in pmol/L 1 | Breastmilk B12 Categories (B12 < 310 pmol/L = AI) 2 | ||||||
|---|---|---|---|---|---|---|---|---|
| Univariate Analysis | Multivariate Analysis | Univariate Analysis | Multivariate Analysis | |||||
| Percent Change in B12 Concentration and 95% CI | Percent Change in B12 Concentration and 95% CI | Odds Ratio and 95% Confidence Intervals | Odds Ratio and 95% Confidence Intervals | |||||
| Placebo | Ref | Ref | Ref | Ref | ||||
| Multivitamin supplements | 7.1(−3.7,18.0) | 0.20 | 7.5(−3.4,18.3) | 0.18 | 0.72(0.48,1.06) | 0.09 | 0.73(0.49,1.09) | 0.12 |
1 Based on linear regression with log (B12 concentration) as the dependent variable. Coefficients and 95% confidence limits have been exponentiated to compute the percent changes in B12 concentration. 2 Based on logistic regression with vitamin B12 deficiency defined by vitamin B12 concentration less than 310 pmol/L and concentrations at or above 310 pmol/L (adequate intake) as a categorical outcome. The odds ratio (OR) are expressed together with their 95% confidence intervals in brackets. 3 Multivariable model adjusted for the intake of animal protein, maternal education, marital status, gestational age at enrolment before 20 weeks, maternal hemoglobin concentration, parity, and baseline body mass index (BMI). 4 Multivariable model adjusted for the intake of total calories, vitamin B12, total and animal protein, gestational age at enrolment before 20 weeks, maternal hemoglobin concentration, and baseline BMI at recruitment.
Predictors of milk B12 less than 310 pmol/L at 6-weeks postpartum among HIV-negative women in Dar es Salaam, Tanzania.
| Univariate 1 | Multivariate | ||||
|---|---|---|---|---|---|
| Variable | N2 | Odds Ratio and 95% CI | Odds Ratio and 95% CI | ||
| Socio-demographic characteristics | |||||
| Maternal education (Years) | |||||
| 0–4 | Ref | ||||
| 5–7 | 0.99(0.53,1.86) | ||||
| 8–11 | 491 | 1.19(0.56,2.54) | |||
| 12+ | 0.57(0.24,1.39) | ||||
| P for trend | 0.36 | ||||
| Marital Status | |||||
| Unmarried | Ref | ||||
| Married/Co-habiting | 491 | 0.98(0.52,1.86) | 0.96 | ||
| Wealth score | |||||
| At or above median | Ref | ||||
| Below median | 491 | 1.16(0.78,1.72) | 0.46 | ||
| Dietary intake | |||||
| Calorie intake (kcal/day) | 491 | 1.00(0.99,1.00) | 0.08 | 1.00(0.99,1.00) | 0.12 |
| Dietary Vit B12 intake (µg/d) | 491 | 1.00(0.98,1.02) | 0.64 | 1.00(0.98,1.03) | 0.86 |
| Tertiles of Vit B12 intake (µg/d) | |||||
| 1st (Less than 1.85) | Ref | ||||
| 2nd (1.85–5.97) | 491 | 1.17(0.72,1.91) | |||
| 3rd (more than 5.97) | 0.92(0.57,1.48) | ||||
| P for trend | 0.48 | ||||
| Dietary protein intake (g/d) | 491 | 1.00(0.99,1.01) | 0.45 | 1.00(0.99,1.01) | 0.67 |
| Tertiles of dietary protein intake (g/d) | |||||
| 1st (Less than 65.5) | Ref | ||||
| 2nd (65.5–98.9) | 491 | 1.27(0.79,2.06) | |||
| 3rd (more than 98.9) | 1.32(0.81,2.13) | ||||
| P for trend | 0.53 | ||||
| Animal protein intake (g/d) | 491 | 1.00(0.99,1.00) | 0.44 | 1.00(0.98,1.020) | 0.78 |
| Tertiles of animal protein intake (g/d) | |||||
| 1st (Less than 22.8) | Ref | ||||
| 2nd (22.8–37.0) | 491 | 0.79(0.49,1.26) | |||
| 3rd (more than 37.0) | 1.36(0.83,2.24) | ||||
| P for trend | 0.53 | ||||
| Pregnancy Characteristics | |||||
| Gestational age at enrolment (weeks) | 491 | 1.03(0.97,1.09) | 0.32 | ||
| Gestation age at enrolment | |||||
| At or beyond 20 weeks | Ref | Ref | |||
| Less than 20 weeks | 491 | 0.67(0.45,1.01) | 0.06 | 0.74(0.49,1.13) | 0.16 |
| Biochemical data | |||||
| Hemoglobin at 6 weeks in g/dL | 491 | 0.80(0.70,0.91) | <0.01 | 0.82(0.72,0.94) | <0.01 |
| Hemoglobin categories at 6 week (g/dL) | |||||
| <8.5 | Ref | ||||
| 8.5–10.9 | 491 | 0.45(0.09,2.15) | |||
| >=11.0 | 0.34(0.08,1.54) | ||||
| P for trend | 0.59 | ||||
| Baseline anthropometry | |||||
| BMI (continuous) in kg/m2 | 491 | 1.02(0.97,1.07) | 0.45 | ||
| Baseline BMI (Categorical) in (kg/m2) | |||||
| <22.0 | Ref | Ref | |||
| 22.0–24.9 | 1.60(0.95,2.71) | 0.08 | 1.92(1.11,3.33) | 0.02 | |
| 25.0–29.9 | 491 | 1.52(0.90,2.59) | 0.12 | 1.91(1.09,3.36) | 0.03 |
| >=30 | 1.12(0.54,2.30) | 0.77 | 1.56(0.73,3.35) | 0.26 | |
| P for trend | 0.80 | P for trend | 0.73 | ||
| Pregnancy History | |||||
| Parity | |||||
| 0 | Ref | ||||
| 1 | 0.74(0.47,1.18) | ||||
| 2 | 487 | 0.91(0.51,1.62) | |||
| 3+ | 1.20(0.64,2.26) | ||||
| P for trend | 0.72 |
1 Based on logistic regression with less than adequate intake (AI) defined by milk vitamin B12 concentrations less than 310 pmol/L and concentrations at or above 310 pmol/L (adequate intake) as a categorical outcome. The odds ratios (OR) are expressed together with their 95% confidence intervals in brackets. 2 This column shows the number of women for whom the variable was non-missing. When variables with missing values were included in the multivariate model, missing indicators were used. Data on parity was unavailable for 4 women (0.8%). 3 The multivariate model included calorie intake, intake of vitamin B12, total and animal protein, gestational age at enrolment below 20 weeks, hemoglobin at 6 weeks postpartum as continuous variables, and BMI at recruitment.