| Literature DB >> 27598193 |
Chia-Ling Ho1,2, Teo A W Quay3,4, Angela M Devlin5,6, Yvonne Lamers7,8,9.
Abstract
Low periconceptional vitamin B6 (B6) status has been associated with an increased risk of preterm birth and early pregnancy loss. Given many pregnancies are unplanned; it is important for women to maintain an adequate B6 status throughout reproductive years. There is limited data on B6 status in Canadian women. This study aimed to assess the prevalence of B6 deficiency and predictors of B6 status in young adult women in Metro Vancouver. We included a convenience sample of young adult non-pregnant women (19-35 years; n = 202). Vitamin B6 status was determined using fasting plasma concentrations of pyridoxal 5'-phosphate (PLP). Mean (95% confidence interval) plasma PLP concentration was 61.0 (55.2, 67.3) nmol/L. The prevalence of B6 deficiency (plasma PLP < 20 nmol/L) was 1.5% and that of suboptimal B6 status (plasma PLP = 20-30 nmol/L) was 10.9%. Body mass index, South Asian ethnicity, relative dietary B6 intake, and the use of supplemental B6 were significant predictors of plasma PLP. The combined 12.4% prevalence of B6 deficiency and suboptimal status was lower than data reported in US populations and might be due to the high socioeconomic status of our sample. More research is warranted to determine B6 status in the general Canadian population.Entities:
Keywords: deficiency; dietary intake; ethnicity; periconceptional; pyridoxal 5’-phosphate; suboptimal status; supplement use; vitamin B6; women
Mesh:
Substances:
Year: 2016 PMID: 27598193 PMCID: PMC5037525 DOI: 10.3390/nu8090538
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Demographic and lifestyle characteristics of 202 healthy young adult women in Metro Vancouver.
| Variables | Total ( |
|---|---|
| Age *, years | 26.7 ± 4.2 |
| Body mass index †, kg/m² | 22.7 (22.2, 23.1) |
| Waist circumference †, cm | 74.9 (73.7, 76.1) |
| Total energy intakes †,‡, kcal/day | 1566 (1504, 1629) |
| Relative dietary vitamin B6 intake ‡, mg/day | |
| Q1 | 0–1.1 |
| Q2 | 1.1–1.4 |
| Q3 | 1.4–1.7 |
| Q4 | >1.7 |
| Ethnicity, | |
| European | 147 (73) |
| South Asian | 55 (27) |
| Education, | |
| Less than secondary school education | 2 (1) |
| Secondary school diploma | 5 (3) |
| Post-secondary education | 51 (25) |
| Bachelor’s degree | 87 (43) |
| University degree or >bachelor’s degree | 57 (28) |
| Household income §, | |
| Lowest | 36 (20) |
| Lower-middle | 44 (24) |
| Upper-middle | 52 (28) |
| Highest | 51 (28) |
| Physical activity level ||, | |
| Low | 8 (4) |
| Medium | 110 (55) |
| High | 82 (41) |
| Use of oral contraceptives, | 58 (29) |
| Use of nutritional supplements, | 97 (48) |
| Use of supplemental vitamin B6, | 56 (28) |
| Current or former smoker, | 28 (14) |
* Values presented as arithmetic mean ± SD. † Values presented as geometric mean (95% confidence interval). ‡ 18 samples were excluded due to plausible misreports in the food frequency questionnaire (n = 184). § Income quartiles are: Lowest: <$15,000 if 1–2 people, <$20,000 if 3–4 people, <$30,000 if ≥5 people, Lower-middle: $15,000–29,999 if 1–2 people, $20,000–39,999 if 3 or 4 people, $30,000 to 50,000 if ≥5 people, Upper-middle: $30,000–59,999 if 1–2 people, $40,000–79,999 if 3–4 people, $60,000–79,999 if ≥5 people, Highest: >$60,000 if 1–2 people, >$80,000 if ≥3 people. Only 183 subjects provided household income information. || Only 200 subjects completed physical activity questionnaire.
Differences in plasma pyridoxal 5’-phosphate (PLP) concentration in 202 healthy young adult women by categories of demographic and lifestyle factors.
| Variables | Plasma PLP concentration | ||||
|---|---|---|---|---|---|
| Subjects | Mean (95% CI) nmol/L | <20 nmol/L | 20–30 nmol/L | >30 nmol/L | |
| Overall | 202 | 61.0 (55.2, 67.3) | 3 (1.5) | 22 (11) | 177 (88) |
| Anemia | |||||
| Hb > 12 g/dL | 166 | 62.0 (55.5, 69.2) | 3 (1.8) | 17 (10) | 146 (88) |
| Hb < 12 g/dL | 36 | 56.4 (45.0, 70.8) | 0 | 5 (14) | 31 (86) |
| Ethnicity | |||||
| European ‡ | 147 | 66.9 (59.2, 75.6) † | 2 (1.4) | 14 (10) | 131 (89) |
| South Asian | 55 | 47.6 (41.2, 54.8) | 1 (1.8) | 8 (15) | 46 (84) |
| Education | |||||
| Low | 7 | 57.7 (28.5, 116.9) | 0 | 2 (29) | 5 (71) |
| High | 195 | 61.1 (55.3, 67.5) | 3 (1.5) | 20 (10) | 172 (88) |
| Household income | |||||
| Low | 80 | 59.5 (52.1, 68.0) | 1 (1.3) | 7 (9) | 72 (90) |
| High | 103 | 63.6 (55.3, 73.0) | 2 (1.9) | 15 (13) | 86 (83) |
| Physical activity level | |||||
| Low | 8 | 44.4 (37.8, 52.3) | 0 | 0 | 8 (100) |
| Medium | 110 | 60.6 (53.0, 69.4) | 2 (1.8) | 13 (12) | 95 (86) |
| High | 82 | 63.8 (54.5, 74.8) | 1 (1.2) | 9 (11) | 72 (88) |
| Oral contraceptive use | |||||
| Non-user | 144 | 59.9 (53.5, 67.1) | 2 (1.4) | 17 (12) | 125 (87) |
| User | 58 | 63.6 (52.0, 77.8) | 1 (1.7) | 5 (9) | 52 (90) |
| Supplemental vitamin B6 use | |||||
| Non-user ‡ | 146 | 48.5 (45.0, 52.3) | 3 (2.1) | 18 (12) | 125 (86) |
| User | 56 | 111.5 (87.2, 139.9) † | 0 | 4 (7) | 52 (93) |
| Smoker | |||||
| No | 174 | 61.1 (55.0, 67.8) | 2 (1.2) | 18 (10) | 154 (89) |
| Yes | 28 | 60.2 (44.0, 82.3) | 1 (3.6) | 4 (14) | 23 (82) |
Plasma PLP concentration was presented as geometric mean (95% confidence interval (CI)) and was log-transformed to carry out the following statistical analyses. Hb, hemoglobin. * Chi-squared test revealed no significant difference in the prevalence of B6 deficiency and suboptimal B6 status in all the variables. † p value < 0.05 for two-sample t test comparing the indicated category with the referent category. ‡ Referent category.
Food sources of vitamin B6.
| Variables | Adjusted change in dietary B6 intake, mg/day (95%CI) | Adjusted |
|---|---|---|
| Grains, serving | 0.03 (0.01, 0.04) | <0.001 |
| Fruits and Vegetables, serving | 0.10 (0.08, 0.11) | <0.001 |
| Dairy, serving | 0.10 (0.07, 0.13) | <0.001 |
| Meat and Alternatives, serving | 0.19 (0.16, 0.22) | <0.001 |
Adjusted changes and p value were from multiple linear regression model controlled for intake of grains, fruits and vegetables, dairy, and meat and alternatives. Number of observation = 184, Model p value < 0.001, R²: 0.79, Adjusted R²: 0.79.
Predictors of plasma PLP concentration from unadjusted and adjusted linear regression models.
| Variables | Unadjusted % change in plasma PLP (95% CI) * | Unadjusted | Adjusted % change in plasma PLP (95% CI) * | Adjusted |
|---|---|---|---|---|
| Relative B6 intake | ||||
| Q2 (1.1–1.4 mg/day) | 7.7 (–20.0, 45.0) | 0.62 | 9.0 (–15.8, 41.2) | 0.51 |
| Q3 (1.4–1.7 mg/day) | 27.5 (–5.3, 71.6) | 0.11 | 23.1 (–4.4, 58.6) | 0.11 |
| Q4 (>1.7 mg/day) | 35.6 (0.7, 82.4) | 0.045 | 29.3 (0.3, 66.7) | 0.048 |
| BMI, kg/m² | –3.7 (–6.3, –1.0) | 0.007 | –2.7 (–5.1, –0.2) | 0.034 |
| South Asian descent | –28.9 (–33.6, –24.0) | 0.002 | –21.1 (–35.7, –3.1) | 0.024 |
| Supplemental B-6 use | 127.7 (115.6, 140.8) | <0.001 | 114.5 (75.6, 162.0) | <0.001 |
Unadjusted percentage changes and p value were from simple linear regression models. Adjusted percentage changes and p value were from multiple linear regression model controlled for relative dietary B-6 intake, South Asian ethnicity, BMI, and supplemental B-6 use. Number of observation = 184, Model p value <0.001, R²: 0.32, Adjusted R²: 0.29. * The percentage change in plasma PLP concentration was calculated by ( × 100%.