| Literature DB >> 35631170 |
Zhou Lu1, Yat-Tin Chan1,2, Kenneth Ka-Hei Lo1,3, Danyue Zhao1,2,3, Vincy Wing-Si Wong1, Yuk-Fan Ng1, Wing-Wa Ho1, Liz Sin Li1, Hang-Wai Lee1, Man-Sau Wong1,2,3, Shi-Ying Li1,3.
Abstract
Carotenoids and vitamin A are nutrients crucial to infants' development. To date, there is limited data on their availability in breastmilk and the associated dietary factors, especially in Hong Kong, where people follow a westernized Chinese diet. This study determined the selected breastmilk's carotenoid and vitamin A (retinol) contents by ultraperformance liquid chromatography with photodiode detection (UPLC-PDA) and the dietary intakes by three-day food records in 87 Hong Kong lactating mothers, who were grouped into tertiles based on their daily carotenoid intake. Low vitamin A intake (530.2 ± 34.2 µg RAE/day) and breastmilk retinol level (1013.4 ± 36.8 nmol/L) were reported in our participants, suggesting a poor vitamin A status of the lactating participants having relatively higher socioeconomic status in Hong Kong. Mothers in the highest tertile (T3) had higher breastmilk carotenoid levels than those in the lowest (T1) (p < 0.05). There were significant associations between maternal carotenoid intakes and breastmilk lutein levels in the linear regression models (p < 0.05) regardless of dietary supplement intake. Furthermore, maternal dark green vegetable intakes were associated with breastmilk retinol, lutein, and β-carotene levels. These findings can serve as dietary references for lactating mothers to enhance breastmilk carotenoid and vitamin A contents for the benefits of child growth and development.Entities:
Keywords: breastmilk; carotenoids; cross-sectional study; dietary intakes; lactation; maternal diets; vitamin A
Mesh:
Substances:
Year: 2022 PMID: 35631170 PMCID: PMC9148123 DOI: 10.3390/nu14102031
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Figure 1Subject recruitment flow chart of the study.
Anthropometric and socioeconomic characteristics of 87 Hong Kong lactating mothers.
| Variables | T1 ( | T2 ( | T3 ( | Total ( | |
|---|---|---|---|---|---|
| Age (years) | 31.8 ± 4.0 | 32.0 ± 3.1 | 33.2 ± 3.8 | 32.3 ± 3.6 | 0.30 |
| Weight (kg) | 56.7 ± 8.5 | 59.8 ± 10.1 | 57.2 ± 7.6 | 57.9 ± 8.8 | 0.35 |
| Height (m) | 1.60 ± 0.05 | 1.61 ± 0.06 | 1.58 ± 0.05 | 1.60 ± 0.05 | 0.21 |
| BMI (kg/m2) | 22.2 ± 3.1 | 23.2 ± 3.9 | 22.9 ± 3.3 | 22.7 ± 3.4 | 0.54 |
| Body weight status I (%) | 0.47 | ||||
| Underweight | 0 (0.0%) | 2 (6.9%) | 1 (3.5%) | 3 (3.5%) | |
| Normal weight | 20 (69.0%) | 16 (55.2%) | 15 (51.7%) | 51 (58.6%) | |
| Overweight or obese | 9 (31.0%) | 11 (37.9%) | 13 (44.8%) | 33 (37.9%) | |
| Vitamin A-related supplemented (%) | 3 (10.3%) aII | 10 (34.5%) b | 12 (41.4%) b | 25 (28.7%) | 0.02 |
| Education III (%) | 0.15 | ||||
| High | 20 (69.0%) | 22 (75.9%) | 26 (89.7%) | 68 (78.2%) | |
| Low | 9 (31.0%) | 7 (24.1%) | 3 (10.3%) | 19 (21.8%) | |
| Monthly family income IV (%) | 0.10 | ||||
| High | 17 (58.6%) | 18 (62.1%) | 24 (82.8%) | 59 (67.8%) | |
| Low | 12 (41.4%) | 11 (37.9%) | 5 (17.2%) | 28 (32.2%) | |
| Occupation (%) | 0.93 | ||||
| Housewife | 6 (20.7%) | 6 (20.7%) | 5 (17.2%) | 17 (19.5%) | |
| Full-time work | 23 (79.3%) | 23 (79.3%) | 24 (82.8%) | 70 (80.5%) | |
| Lactation stage (%) | 0.47 | ||||
| 2–6 months | 12 (41.4%) | 9 (31.0%) | 12 (41.4%) | 33 (37.9%) | |
| 6–12 months | 6 (20.7%) | 12 (41.4%) | 10 (34.5%) | 28 (32.2%) | |
| 12–24 months | 11 (37.9%) | 8 (27.6%) | 7 (24.1%) | 26 (29.9%) | |
| Infant gender (%) | 0.40 | ||||
| Male | 15 (51.7%) | 20 (69.0%) | 18 (62.1%) | 53 (60.9%) | |
| Female | 14 (48.3%) | 9 (31.0%) | 11 (37.9%) | 34 (39.1%) | |
| Birth weight (kg) | 3.17 ± 1.15 | 3.13 ± 0.32 | 3.08 ± 0.29 | 3.13 ± 0.70 | 0.90 |
Data are expressed as mean ± SD/number of participants (percentages). I Underweight: BMI < 18.5; Normal weight: BMI 18.5–22.9; Overweight: BMI 23.0–24.9; Obese: BMI ≥ 25.0; II Different superscript letters indicate a significant difference in characteristics from different groups (p < 0.05); III High education: tertiary education or above; IV High monthly family income: income > HKD 30,000 [15].
Energy intake, intakes of fruit and vegetables, and selected nutrients of the 87 Hong Kong lactating women.
| Energy, Food Group, and Nutrients (Unit) | T1 ( | T2 ( | T3 ( | Total ( | |
|---|---|---|---|---|---|
| Vegetables (g/day) | 116.8 ± 10.1 bII | 192.4 ± 19.0 a | 224.5 ± 19.6 a | 177.9 ± 10.5 | |
| Dark green vegetables (g/day) | 35.3 ± 5.2 b | 60.4 ± 10.7 ab | 69.8 ± 11.2 a | 55.2 ± 5.4 | 0.03 |
| Light-colored vegetables (g/day) | 20.0 ± 5.8 | 30.1 ± 7.3 | 39.3 ± 11.5 | 29.8 ± 4.8 | 0.26 |
| Red and orange vegetables (g/day) | 26.8 ± 6.3 b | 52.4 ± 10.5 ab | 77.3 ± 12.9 a | 52.2 ± 6.1 | 0.002 |
| Fruit (g/day) | 78.8 ± 15.5 b | 98.4 ± 13.3 ab | 123.8 ± 19.2 a | 100.4 ± 9.1 | 0.13 |
| Energy (kcal/day) | 2306.2 ± 82.0 b | 2343.6 ± 71.1 ab | 2529.6 ± 67.0 a | 2393.1 ± 41.9 | 0.06 |
| Fat (g/day) | 96.5 ± 5.1 | 96.4 ± 4.0 | 105.6 ± 4.2 | 99.5 ± 2.5 | 0.23 |
| Vitamin A (μg RAE/day) | 399.4 ± 50.2 b | 520.0 ± 62.0 ab | 671.2 ± 61.4 a | 530.2 ± 34.2 | 0.004 |
| Retinol (μg RE/day) | 325.0 ± 51.8 | 361.2 ± 58.0 | 297.4 ± 29.7 | 327.9 ± 26.6 | 0.62 |
| Lutein + zeaxanthin (mg/day) | 1.4 ± 0.1 b | 2.4 ± 0.2 b | 6.2 ± 1.0 a | 3.3 ± 0.4 | |
| β-Carotene (mg/day) | 1.2 ± 0.2 c | 3.1 ± 0.4 b | 6.2 ± 0.5 a | 3.5 ± 0.3 | |
| Lycopene (mg/day) | 0.9 ± 0.2 b | 2.4 ± 0.4 b | 4.9 ± 0.9 a | 2.7 ± 0.4 | |
| α-Carotene (μg/day) | 43.5 ± 20.9 b | 277.0 ± 81.9 b | 678.1 ± 194.4 a | 332.9 ± 73.1 | 0.001 |
| β-Cryptoxanthin (μg/day) | 75.5 ± 30.6 | 97.1 ± 34.3 | 142.0 ± 43.3 | 104.9 ± 20.3 | 0.40 |
| Total carotenoids (mg RE/day) | 3.6 ± 0.3 c | 8.3 ± 0.2 b | 18.2 ± 1.2 a | 10.0 ± 0.8 |
Data are calculated from the 3-day dietary records and expressed as mean ± SEM. I P-value obtained from one-way ANOVA test with post hoc Bonferroni test; II different superscript letters indicate a significant difference in intakes from different groups (p < 0.05).
Figure 2Box plots of major carotenoid and retinol contents (nmol/L) in breastmilk categorized by total carotenoid intake from food and supplements. Boxes represent the 25th, 50th, and 75th percentiles. Crosses represent mean. Whiskers represent either minimum/maximum or 25th/75th minus/plus 1.5 × interquartile range, whichever is closer to the median. Different superscript letters indicate a significant difference in carotenoid or retinol content in human milk from different groups (p < 0.05) based on one-way ANOVA test with post hoc Bonferroni test. Participants in T3 (n = 29) had the highest carotenoid intake of 10.2–32.0 mg/day, T2 (n = 29) had the median carotenoid intake of 6.5–10.1 mg/day, and T1 (n = 29) had the lowest carotenoid intake of 0.9–6.2 mg/day.
Figure 3Box plots of major carotenoid and retinol contents (nmol/L) in breastmilk categorized by total carotenoid intake from food only. Boxes represent the 25th, 50th, and 75th percentiles. Crosses represent mean. Whiskers represent either minimum/maximum or 25th/75th minus/plus 1.5 × interquartile range, whichever is closer to the median. Different superscript letters indicate a significant difference in carotenoid or retinol content in human milk from different groups (p < 0.05) based on one-way ANOVA test with post hoc Bonferroni test. Participants in T3 (n = 29) had the highest carotenoid intake of 10.0–32.0 mg/day, T2 (n = 29) had the median carotenoid intake of 4.7–9.3 mg/day, and T1 (n = 29) had the lowest carotenoid intake of 0.9–4.5 mg/day.
Regression coefficients on the association between carotenoid intake and the levels of breastmilk retinol and carotenoids.
| Breastmilk Retinol and Carotenoids | Categories in Carotenoid Intake | Model 1 (95% C.I.) I | Model 2 (95% C.I.) I | Model 3 (95% C.I.) I |
|---|---|---|---|---|
| Retinol | T3 | 172.1 (−5.3, 349.5) | 153.4 (−33.0, 339.8) | 113.9 (−83.3, 311.1) |
| T2 | 46.4 (−131.0, 223.7) | 38.9 (−142.9, 220.5) | 20.9 (−163.2, 205.0) | |
| T1 | Ref | Ref | Ref | |
| Lutein | T3 | 41.8 (15.2, 68.4) **II | 45.9 (19.1, 72.7) ** | 45.1 (16.5, 73.7) ** |
| T2 | 34.7 (8.1, 61.3) * | 38.5 (12.4, 64.6) ** | 37.5 (10.9, 64.2) ** | |
| T1 | Ref | Ref | Ref | |
| β-Carotene | T3 | 59.5 (18.8, 100.2) ** | 62.8 (22.5, 103.0) ** | 63.0 (20.0, 106.1) ** |
| T2 | 26.6 (−14.1, 67.3) | 33.6 (−5.6, 72.9) | 33.1 (−7.0, 73.3) | |
| T1 | Ref | Ref | Ref | |
| Lycopene | T3 | 45.5 (0.9, 90.1) * | 38.8 (−6.7, 84.3) | 38.1 (−10.6, 86.7) |
| T2 | 27.1 (−17.5, 71.7) | 27.5 (−16.9, 71.8) | 27.3 (−18.1, 72.7) | |
| T1 | Ref | Ref | Ref |
I Model 1: Univariable analysis; Model 2: Multivariable analysis adjusted for maternal age, BMI, education, and lactation stage; Model 3: Multivariable analysis adjusted for maternal age, BMI, education, lactation stage, fat, and vitamin A intake; II * p < 0.05, ** p < 0.01.
Regression coefficients on the association between carotenoid intake and the levels of breastmilk retinol and carotenoids after excluding supplemental carotenoid intake.
| Breastmilk Retinol and Carotenoids | Categories in Carotenoid Intake | Model 1 (95% C.I.) I | Model 2 (95% C.I.) I | Model 3 (95% C.I.) I |
|---|---|---|---|---|
| Retinol | T3 | 111.2 (−68.5, 291.0) | 97.5 (−86.7, 281.8) | 54.1 (−139.1, 247.2) |
| T2 | 23.7 (−156.0, 203.5) | 13.9 (−169.6, 197.4) | −3.7 (−189.7, 182.4) | |
| T1 | Ref | Ref | Ref | |
| Lutein | T3 | 40.6 (13.7, 67.5) **II | 43.7 (17.1, 70.4) ** | 42.6 (14.4, 70.8) ** |
| T2 | 13.6 (−13.2, 40.5) | 17.8 (−8.7, 44.3) | 16.1 (−11.1, 43.2) | |
| T1 | Ref | Ref | Ref | |
| β-Carotene | T3 | 41.3 (−0.4, 82.9) | 43.4 (2.9, 83.9) * | 40.9 (−2.1, 83.9) |
| T2 | 29.6 (−12.0, 71.3) | 32.8 (−7.5, 73.1) | 31.5 (−9.9, 72.9) | |
| T1 | Ref | Ref | Ref | |
| Lycopene | T3 | 51.2 (7.2, 95.2) * | 48.6 (5.0, 92.3) * | 48.4 (2.0, 94.8) * |
| T2 | 44.8 (0.7, 88.8) * | 47.1 (3.6, 90.6) * | 48.1 (3.4, 92.7) * | |
| T1 | Ref | Ref | Ref |
I Model 1: Univariable analysis; Model 2: Multivariable analysis adjusted for maternal age, BMI, education, and lactation stage; Model 3: Multivariable analysis adjusted for maternal age, BMI, education, lactation stage, fat, and vitamin A intake; II * p < 0.05, ** p < 0.01.
Comparison of carotenoid and retinol levels in breastmilk with other populations.
| Lutein (nmol/L) | β-Carotene (nmol/L) | Lycopene (nmol/L) | Retinol (nmol/L) | References | |
|---|---|---|---|---|---|
| Hong Kong | 118.2 ± 5.8 | 153.2 ± 8.7 | 111.9 ± 9.3 | 1013.4 ± 36.8 | Current study |
| Australia | 27.0 ± 2.0 | 60.0 ± 7.0 | 31.0 ± 2.0 | 1086.0 ± 55.0 | [ |
| Canada | 30.0 ± 1.0 | 36.0 ± 3.0 | 30.0 ± 2.0 | 1188.0 ± 66.0 | |
| Chile | 57.0 ± 5.0 | 44.0 ± 4.0 | 21.0 ± 2.0 | 1242.0 ± 85.0 | |
| China | 76.0 ± 8.0 | 48.0 ± 4.0 | 14.0 ± 1.0 | 1043.0 ± 88.0 | |
| Japan | 77.0 ± 4.0 | 62.0 ± 5.0 | 23.0 ± 2.0 | 1230.0 ± 63.0 | |
| Mexico | 44.0 ± 3.0 | 51.0 ± 5.0 | 32.0 ± 2.0 | 1321.0 ± 87.0 | |
| Philippines | 35.0 ± 3.0 | 22.0 ± 2.0 | 16.0 ± 2.0 | 1624.0 ± 94.0 | |
| UK | 27.0 ± 2.0 | 48.0 ± 3.0 | 34.0 ± 2.0 | 1052.0 ± 50.0 | |
| USA | 26.0 ± 1.0 | 37.0 ± 4.0 | 22.0 ± 2.0 | 1227.0 ± 87.0 | |
| China | 180.0 | 75.0 | 17.5 | - | [ |
| Mexico | 80.0 | 37.5 | 40.0 | - | |
| USA | 70.0 | 70.0 | 57.5 | - | |
| China | 179.3 ± 14.4 | - | - | - | [ |
| Brazil | 25.0 ± 3.0 | 16.0 ± 2.0 | 16.0 ± 3.0 | 620.0 ± 50.0 | [ |
| Brazil | 6.0 ± 1.0 | 18.0 ± 2.0 | - | 1400.0 ± 100.0 | [ |
| USA | 27.3 ± 16.4 | 36.1 ± 17.1 | 18.8 ± 9.5 | 1152.0 ± 488.7 | [ |
| Beijing | 52.7 ± 3.3 | 31.7 ± 2.1 | 31.7 ± 1.7 | - | [ |
| Suzhou | 105.5 ± 5.6 | 44.7 ± 2.9 | 31.7 ± 1.6 | - | |
| Guangzhou | 121.3 ± 7.0 | 50.3 ± 3.7 | 39.1 ± 2.7 | - | |
| German | 107.6 ± 48.0 | 78.2 ± 46.2 | 59.8 ± 38.9 | 2900.0 ± 1120.0 | [ |
| Poland | 37.1 | 33.3 | 110.1 | - | [ |
Data are expressed as mean ± SEM or mean.