| Literature DB >> 29414857 |
Asika Devi1, Elaine Rush2,3, Michelle Harper4, Bernard Venn5.
Abstract
Vitamin B12 deficiency leads to serious health problems, whilst sub-optimal status is associated with raised biochemical markers of disease risk. Identifying at-risk groups could benefit both individuals and public health. Dietary data were sourced from the New Zealand Adult Nutrition Survey 2008/2009, involving a nationally representative sample of 4721 participants. Ethnic groupings were by regional origin: Māori and Pacific Islands, New Zealand European, East and South-East Asian, and South Asian. Diets were assessed using 24-h recalls and from responses to a questionnaire. Blood samples were obtained from a subset (n = 3348). The mean (95% CI) vitamin B12 intake of the Māori and Pacific Islands group was 5.1 (4.7, 5.5) µg/day, New Zealand Europeans 4.1 (3.8, 4.3) µg/day, East and South-East Asians 4.5 (3.7, 5.3) µg/day, and South Asians 3.0 (2.5, 3.6) µg/day. Overall, 20.1% of the sample had vitamin B12 inadequacy (<221 pmol/L). South Asians had the lowest vitamin B12 concentration at 282 (251, 312) pmol/L, whilst Māori/Pacific and East/South-East Asians had the highest, at 426 (386, 466) and 425 (412, 437) pmol/L, respectively. The main dietary determinant of serum vitamin B12 concentration was whether or not people ate red meat, with a regression coefficient of 27.0 (95% CI: 6.6, 47.5). It would be helpful for health agencies to be aware of the potential for compromised vitamin B12 status in South Asian communities.Entities:
Keywords: dietary intake; ethnicity; national survey; vitamin B12
Mesh:
Substances:
Year: 2018 PMID: 29414857 PMCID: PMC5852757 DOI: 10.3390/nu10020181
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Characteristics of participants.
| Characteristic | New Zealand European | South Asian | East & South-East Asian | Māori & Pacific | Total |
|---|---|---|---|---|---|
| Total sample ( | 3001 | 124 | 125 | 1422 | 4672 |
| Sex (%) | |||||
| Male | 44.4 | 50 | 38.4 | 42.4 | 43.8 |
| Female | 55.6 | 50 | 61.6 | 57.6 | 56.2 |
| Age (year) * | 51.1 (24.0) a | 35.5 (17.7) bd | 33.8 (18.8) bc | 39.6 (16.1) d | 46.7 (22.4) |
| BMI (kg/m2) * | 27.0 (5.5) a | 25.4 (4.6) b | 23.2 (3.7) b | 31.9 (7.8) c | 28.3 (22.4) |
* Values are expressed as mean (standard deviation) standardized to the population. Differences among groups were assessed using one-way ANOVA with Bonferroni multiple-comparison test. Values with different superscript letters within a row are statistically significantly different. BMI on sub-sample: New Zealand European n = 2891, South Asian n = 121, East and South-East Asian n = 121, Māori and Pacific n = 1339.
Vitamin B12 status and intake by regional ethnic grouping and sex.
| Characteristic | New Zealand European | South Asian | East and South-East Asian | Māori and Pacific | Total | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Intake (µg/day) | ||||||||||
| Total * | 3001 | 4.1 (3.8, 4.3) a | 124 | 3.0 (2.50, 3.60) a | 125 | 4.5 (3.7, 5.3) ab | 1422 | 5.1 (4.7, 5.5) b | 4672 | 4.4 (4.2, 4.6) |
| Male | 1333 | 4.9 (4.5, 5.3) | 62 | 3.9 (2.90, 4.90) | 48 | 4.6 (3.3, 6.0) | 603 | 6.2 (5.4, 6.9) | 2046 | 5.2 (4.9, 5.6) |
| Female | 1668 | 3.4 (3.2, 3.6) | 62 | 2.2 (1.80, 2.50) | 77 | 4.4 (3.4, 5.3) | 819 | 4.4 (4.0, 4.8) | 2626 | 3.7 (3.5, 3.9) |
| Intake < 2.0 µg/day (%) | 945 | 31.4% | 55 | 44.4% | 40 | 32.0% | 397 | 27.9% | 1437 | 30.8% |
| Serum B12 (pmol/L) | ||||||||||
| Total * | 2143 | 324 (317, 330) a | 68 | 282 (251, 312) b | 67 | 426 (386, 466) c | 733 | 425 (412, 437) c | 3011 | 350 (344, 356) |
| Male | 945 | 318 (309, 327) | 34 | 269 (223, 316) | 22 | 380 (338, 423) | 318 | 435 (418, 452) | 1319 | 346 (338, 354) |
| Female | 1198 | 328 (318, 338) | 34 | 293 (253, 334) | 45 | 448 (393, 504) | 415 | 416 (399, 434) | 1692 | 353 (344, 362) |
| Vitamin B12 | 70 | 3.3% | 2 | 2.9% | 0 | 0.0% | 6 | 0.8% | 78 | 2.6% |
| Vitamin B12 | 439 | 20.5% | 28 | 41.2% | 2 | 3.0% | 57 | 7.8% | 526 | 17.5% |
| Vitamin B12 | 1634 | 76.2% | 38 | 55.9% | 65 | 97.0% | 670 | 91.4% | 2407 | 79.9% |
Values are expressed as mean (95% confidence interval); n = Number of subjects; * Differences among groups for the total sample were assessed using one-way ANOVA with Bonferroni multiple-comparison test. Values with different superscript letters within a row are statistically significantly different.
Mean (95% confidence interval) serum vitamin B12 concentration (pmol/L), according to age range and ethnicity.
| Ethnic Origin | 15–64 Years | 65–75 Years | >75 Years | |||
|---|---|---|---|---|---|---|
| New Zealand European | 1183 | 342 (334, 351) | 478 | 304 (292, 317) | 475 | 297 (280, 313) |
| South Asian | 62 | 286 (255, 318) | 5 | 247 (172, 323) | 1 | 150 Not applicable |
| East & South-East Asian | 70 | 423 (386, 461) | 3 | 338 (135, 541) | 5 | 307 (279, 335) |
| Māori & Pacific | 650 | 423 (410, 436) | 63 | 473 (421, 525) | 16 | 317 (254, 381) |
| Total * | 1965 | 370 (363, 377) | 549 | 323 (310, 337) | 497 | 300 (283, 316) |
* p for trend across the age groupings.
Vitamin B12 intake and status of participants, according to responses to the Dietary Habits Questionnaire.
| Foods | Intake (µg/Day) | Serum (pmol/L) | ||||
|---|---|---|---|---|---|---|
| Red meat | ||||||
| Yes | 4427 | 4.5 (4.3, 4.7) | 0 | 2871 | 352 (346, 358) | 0.005 |
| No | 269 | 2.7 (2.4, 3.0) | 167 | 315 (290, 339) | ||
| Milk | ||||||
| Yes | 4341 | 4.4 (4.2, 4.6) | 0.118 | 2801 | 349 (343, 355) | 0.46 |
| No | 198 | 3.7 (3.0, 4.3) | 139 | 339 (307, 370) | ||
| Fruit & vegetable | ||||||
| ≥5+ a day | 2440 | 4.2 (3.9, 4.5) | 0.058 | 1708 | 344 (336, 352) | 0.078 |
| <5 a day | 2099 | 4.6 (4.3, 4.8) | 1232 | 355 (346, 364) | ||
| Alcoholic drinks * | ||||||
| ≤1/month | 1329 | 4.2 (3.9, 4.6) | 0.142 | 840 | 351 (340, 362) | 0.725 |
| ≤4/month | 921 | 4.5 (4.1, 4.9) | 580 | 347 (334, 360) | ||
| ≤3/week | 667 | 4.4 (4.0, 4.7) | 433 | 352 (339, 365) | ||
| ≥4/week | 818 | 4.9 (4.2, 5.6) | 611 | 327 (313, 341) |
Values are expressed as mean (95% confidence interval); * One standard drink in New Zealand contains 10 g alcohol. The frequency of intake is unknown for some participants, who either did not answer or considered the question as not applicable to them; n = number of participants.
Proportion (%) and 95% confidence interval of vitamin B12 intake from food among ethnic groups.
| Food Group | New Zealand European | South Asian | East & South-East Asian | Māori & Pacific |
|---|---|---|---|---|
| Dairy | 32.6 (31.6, 33.5) a | 43.9 (37.3, 50.4) c | 21.5 (17.6, 25.4) b | 21.9 (20.6, 23.1) b |
| Meat | 29.8 (28.7, 30.8) a | 20.7 (15.2, 26.1) c | 31.7 (26.5, 36.8) ab | 37.6 (35.9, 39.3) b |
| Eggs | 6.3 (5.7, 6.8) | 5.2 (2.7, 7.6) | 6.6 (3.7, 9.5) | 7.6 (6.7, 8.4) |
| Fish | 8.4 (7.7, 9.2) a | 11.6 (6.8, 16.4) ab | 11.8 (7.9, 15.8) ab | 13.2 (11.8, 14.7) b |
| Bread based | 5.9 (5.3, 6.5) | 4.2 (1.5, 6.9) | 5.5 (2.9, 8.1) | 6.1 (5.2, 6.9) |
| Various other | 17.0 (16.2, 17.9) a | 14.4 (10.3, 18.5) ac | 23.0 (18.3, 27.7) b | 13.7 (12.5, 14.9) c |
One-way ANOVA with Bonferroni adjustment, values with different superscript letters within a row are statistically significantly different, p < 0.05. Dairy comprises milk, dairy products, cheese, butter, and margarine. Meat comprises beef and veal, lamb/mutton, pork, poultry, other meat, sausages and processed meats, and pies and pasties. “Various other” is made up of all other food groups that individually provided less than 5% of the vitamin B12 intake.
Relationship between serum vitamin B12 status and predictor variables using multiple regression.
| Factor | Regression Coefficient (95% CI) | |
|---|---|---|
| Regional ethnic grouping | 24.23 (20.37, 28.09) | <0.001 |
| Vitamin B12 intake | 5.87 (3.50, 8.23) | <0.001 |
| Meat | 27.03 (6.55, 47.51) | 0.010 |
| Age | −0.65 (−0.87, −0.44) | <0.001 |
| Fruits & vegetables | −3.26 (−12.68, 6.16) | 0.498 |
| BMI | 0.19 (−0.60, 0.97) | 0.638 |
| Sex | 1.81 (−7.57, 11.18) | 0.706 |
| Milk | 6.84 (−14.78, 28.45) | 0.535 |
Multiple regression, variables other than age and sex were adjusted for age and sex using blood weight prioritized; age and sex were adjusted for each other.