Preconception Folic Acid Supplement Use in Immigrant Women (1999–2016)
Abstract
:1. Introduction
2. Materials and Methods
2.1. Setting
2.2. Study Population
2.3. Vitamin Supplement Use
2.4. Immigrant Category
2.5. Maternal Country of Birth
2.6. Length of Residence
2.7. Other Variables
2.8. Statistical Analysis
2.9. Ethics Approval and Consent to Participate
3. Results
3.1. Sample Characteristics
3.2. Folic Acid Supplement Use by Immigrant Category
3.3. Distribution of 1st Generation Immigrant Women
3.4. Folic Acid Supplement Use by Country of Birth in 1st Generation Immigrant Women
3.5. Folic Acid Supplement Use by Length of Residence in 1st Generation Immigrants
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
- De-Regil, L.M.; Pena-Rosas, J.P.; Fernandez-Gaxiola, A.C.; Rayco-Solon, P. Effects and safety of periconceptional oral folate supplementation for preventing birth defects. Cochrane Database Syst. Rev. 2015. [Google Scholar] [CrossRef] [PubMed]
- Garrett, G.S.; Bailey, L.B. A public health approach for preventing neural tube defects: Folic acid fortification and beyond. Ann. N. Y. Acad. Sci. 2018, 1414, 47–58. [Google Scholar] [CrossRef] [PubMed]
- Khoshnood, B.; Loane, M.; de Walle, H.; Arriola, L.; Addor, M.C.; Barisic, I.; Beres, J.; Bianchi, F.; Dias, C.; Draper, E.; et al. Long term trends in prevalence of neural tube defects in Europe: Population based study. BMJ 2015, 351, h5949. [Google Scholar] [CrossRef] [PubMed]
- Botto, L.D.; Lisi, A.; Robert-Gnansia, E.; Erickson, J.D.; Vollset, S.E.; Mastroiacovo, P.; Botting, B.; Cocchi, G.; de Vigan, C.; de Walle, H.; et al. International retrospective cohort study of neural tube defects in relation to folic acid recommendations: Are the recommendations working? BMJ 2005, 330, 571. [Google Scholar] [CrossRef] [PubMed]
- McNulty, B.; Pentieva, K.; Marshall, B.; Ward, M.; Molloy, A.M.; Scott, J.M.; McNulty, H. Women’s compliance with current folic acid recommendations and achievement of optimal vitamin status for preventing neural tube defects. Hum. Reprod. 2011, 26, 1530–1536. [Google Scholar] [CrossRef] [PubMed]
- Nilsen, R.M.; Leoncini, E.; Gastaldi, P.; Allegri, V.; Agostino, R.; Faravelli, F.; Ferrazzoli, F.; Finale, E.; Ghirri, P.; Scarano, G.; et al. Prevalence and determinants of preconception folic acid use: An Italian multicenter survey. Ital. J. Pediatr. 2016, 42, 65. [Google Scholar] [CrossRef] [PubMed]
- Ray, J.G.; Singh, G.; Burrows, R.F. Evidence for suboptimal use of periconceptional folic acid supplements globally. BJOG 2004, 111, 399–408. [Google Scholar] [CrossRef] [PubMed]
- Nilsen, R.M.; Vollset, S.E.; Gjessing, H.K.; Magnus, P.; Meltzer, H.M.; Haugen, M.; Ueland, P.M. Patterns and predictors of folic acid supplement use among pregnant women: The Norwegian Mother and Child Cohort Study. Am. J. Clin. Nutr. 2006, 84, 1134–1141. [Google Scholar] [CrossRef]
- Toivonen, K.I.; Lacroix, E.; Flynn, M.; Ronksley, P.E.; Oinonen, K.A.; Metcalfe, A.; Campbell, T.S. Folic acid supplementation during the preconception period: A systematic review and meta-analysis. Prev. Med. 2018, 114, 1–17. [Google Scholar] [CrossRef]
- Van Eijsden, M.; van der Wal, M.F.; Bonsel, G.J. Folic acid knowledge and use in a multi-ethnic pregnancy cohort: The role of language proficiency. BJOG 2006, 113, 1446–1451. [Google Scholar] [CrossRef]
- Timmermans, S.; Jaddoe, V.W.; Mackenbach, J.P.; Hofman, A.; Steegers-Theunissen, R.P.; Steegers, E.A. Determinants of folic acid use in early pregnancy in a multi-ethnic urban population in The Netherlands: The Generation R study. Prev. Med. 2008, 47, 427–432. [Google Scholar] [CrossRef]
- Han, A.; Rotermann, M.; Fuller-Thomson, E.; Ray, J.G. Pre-conceptional folic acid supplement use according to maternal country of birth. J. Obstet. Gynaecol. Can. 2009, 31, 222–226. [Google Scholar] [CrossRef]
- McGuire, M.; Cleary, B.; Sahm, L.; Murphy, D.J. Prevalence and predictors of periconceptional folic acid uptake--prospective cohort study in an Irish urban obstetric population. Hum. Reprod. 2010, 25, 535–543. [Google Scholar] [CrossRef] [PubMed]
- Sikkens, J.J.; van Eijsden, M.; Bonsel, G.J.; Cornel, M.C. Validation of self-reported folic acid use in a multiethnic population: Results of the Amsterdam Born Children and their Development study. Public Health Nutr. 2011, 14, 2022–2028. [Google Scholar] [CrossRef] [PubMed]
- Bestwick, J.P.; Huttly, W.J.; Morris, J.K.; Wald, N.J. Prevention of neural tube defects: A cross-sectional study of the uptake of folic acid supplementation in nearly half a million women. PLoS ONE 2014, 9, e89354. [Google Scholar] [CrossRef]
- Kinnunen, T.I.; Sletner, L.; Sommer, C.; Post, M.C.; Jenum, A.K. Ethnic differences in folic acid supplement use in a population-based cohort of pregnant women in Norway. BMC Pregnancy Childbirth 2017, 17, 143. [Google Scholar] [CrossRef]
- Zaganjor, I.; Sekkarie, A.; Tsang, B.L.; Williams, J.; Razzaghi, H.; Mulinare, J.; Sniezek, J.E.; Cannon, M.J.; Rosenthal, J. Describing the Prevalence of Neural Tube Defects Worldwide: A Systematic Literature Review. PLoS ONE 2016, 11, e0151586. [Google Scholar] [CrossRef]
- Gagnon, A.J.; Zimbeck, M.; Zeitlin, J. Migration and perinatal health surveillance: An international Delphi survey. Eur. J. Obstet. Gynecol. Reprod. Biol. 2010, 149, 37–43. [Google Scholar] [CrossRef]
- Camier, A.; Kadawathagedara, M.; Lioret, S.; Bois, C.; Cheminat, M.; Dufourg, M.N.; Charles, M.A.; de Lauzon-Guillain, B. Social Inequalities in Prenatal Folic Acid Supplementation: Results from the ELFE Cohort. Nutrients 2019, 11, 1108. [Google Scholar] [CrossRef]
- Smeland, S.; Holven, K.; Løken, E.B.; Staff, A.; Vollset, S.E.; Sygnestveit, K. Anbefalinger og Virkemidler for økt Folatinntak Blant Kvinner i Fertil Alder; Rapport nr. 1/1998; Statens ernæringsråd: Oslo, Norway, 1998. [Google Scholar]
- Gildestad, T.; Oyen, N.; Klungsoyr, K.; Nilsen, R.M.; Daltveit, A.K.; Vollset, S.E. Maternal use of folic acid supplements and infant risk of neural tube defects in Norway 1999–2013. Scand. J. Public Health 2016, 44, 619–626. [Google Scholar] [CrossRef]
- Irgens, L.M. The Medical Birth Registry of Norway. Epidemiological research and surveillance throughout 30 years. Acta Obstet. Gynecol. Scand. 2000, 79, 435–439. [Google Scholar] [CrossRef]
- Statistics Norway. About Statistics Norway. Available online: www.ssb.no/en/ (accessed on 15 June 2019).
- Global Burden of Disease (GBD). What Countries Are in Each Region? Available online: www.healthdata.org/gbd/faq/ (accessed on 15 June 2019).
- Dzamarija, M.T. Statistics on Reasons for Immigration 1990–2011, What Do We Know and How Can We Best Use This Information? Statistics Norway: Oslo-Kongsvinger, Norway, 2013.
- R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Available online: www.R-project.org/ (accessed on 15 June 2019).
- Harrell, F.E., Jr. rms: Regression Modeling Strategies. R Package Version 5.1-1. Available online: https://CRAN.R-project.org/package=rms/ (accessed on 15 June 2019).
- Statistics Norway. Total Fertility Rate and Number of Live Births, by Mother’s Country Background, Contents and Year. Available online: www.ssb.no/en/statbank/table/12481/tableViewLayout1/ (accessed on 15 June 2019).
- Hawkins, S.S.; Lamb, K.; Cole, T.J.; Law, C.; Millennium Cohort Study Child Health, G. Influence of moving to the UK on maternal health behaviours: Prospective cohort study. BMJ 2008, 336, 1052–1055. [Google Scholar] [CrossRef]
- Perreira, K.M. Migration and health behaviour during pregnancy. BMJ 2008, 336, 1027–1028. [Google Scholar] [CrossRef] [Green Version]
Characteristic | Primary Comparison Groups | Other Groups with Mixed Background | ||||
---|---|---|---|---|---|---|
Non-Immigrant Women a | 2nd Generation Immigrant Women b | 1st Generation Immigrant Women c | Norwegian-born Women with One Foreign-born Parent | Foreign-born Women with Two Norwegian-born Parents | Foreign-born Women with one Norwegian-born Parent | |
No. of pregnancies | 793,994 | 7965 | 202,234 | 34,576 | 10,211 | 6906 |
Maternal age at birth, years (mean ± SD) | 29.7 ± 5.1 | 27.6 ± 4.8 | 29.9 ± 5.3 | 29.7 ± 5.3 | 30.3 ± 5.3 | 30.5 ± 5.5 |
Single status (widowed/divorced/other) (%) | 58,643 (7.4%) | 670 (8.4%) | 17,016 (8.4%) | 3267 (9.4%) | 919 (9.0%) | 762 (11.0%) |
Educational level (%) d | ||||||
No education | 4 (<1%) | 9 (0.1%) | 4426 (3.0%) | 3 (<1%) | 0 (0.0%) | 1 (<1%) |
Primary education | 130,676 (16.5%) | 2324 (30.2%) | 44,413 (29.9%) | 6589 (19.2%) | 1605 (15.8%) | 1264 (18.7%) |
Secondary education | 266,113 (33.6%) | 2615 (34.0%) | 37,032 (24.9%) | 10,080 (29.3%) | 2868 (28.2%) | 1984 (29.4%) |
University/college | 396,137 (50.0%) | 2753 (35.7%) | 62,633 (42.2%) | 17,710 (51.5%) | 5708 (56.1%) | 3508 (51.9%) |
Educational level, missing (%) | 1064 (0.1%) | 264 (3.3%) | 53,730 (26.6%) | 194 (0.6%) | 30 (0.3%) | 149 (2.2%) |
Income level, percentiles (%) d,e | ||||||
<25 percentile | 168,429 (22.3%) | 1833 (25.2%) | 55,989 (39.0%) | 7092 (21.8%) | 2208 (23.0%) | 1516 (23.9%) |
25–50 percentile | 195,891 (25.9%) | 1533 (21.1%) | 30,366 (21.1%) | 7228 (22.2%) | 2179 (22.7%) | 1373 (21.6%) |
50–75 percentile | 197,075 (26.1%) | 1766 (24.3%) | 28,735 (20.0%) | 8391 (25.8%) | 2377 (24.8%) | 1585 (25.0%) |
≥75 percentile | 194,934 (25.8%) | 2142 (29.4%) | 28,491 (19.8%) | 9806 (30.2%) | 2839 (29.6%) | 1874 (29.5%) |
Income level, missing (%) | 37,665 (4.7%) | 691 (8.7%) | 58,653 (29.0%) | 2059 (6.0%) | 608 (6.0%) | 558 (8.1%) |
Primiparous birth (%) | 328,699 (41.4%) | 4047 (50.8%) | 84,126 (41.6%) | 15,608 (45.1%) | 4425 (43.3%) | 2909 (42.1%) |
Health region (Norway) d | ||||||
South-East | 405,806 (51.1%) | 7055 (88.6%) | 132,822 (65.8%) | 22,925 (66.4%) | 6330 (62.1%) | 4582 (66.4%) |
West | 188,685 (23.8%) | 687 (8.6%) | 37,754 (18.7%) | 6550 (19.0%) | 2230 (21.9%) | 1314 (19.1%) |
Middle | 118,945 (15.0%) | 145 (1.8%) | 18,973 (9.4%) | 2847 (8.2%) | 1020 (10.0%) | 588 (8.5%) |
North | 79,966 (10.1%) | 72 (0.9%) | 12,379 (6.1%) | 2219 (6.4%) | 621 (6.1%) | 412 (6.0%) |
Health region (Norway), missing (%) | 592 (0.1%) | 6 (0.1%) | 306 (0.2%) | 35 (0.1%) | 10 (0.1%) | 10 (0.1%) |
Length of residence, years (mean ± SD) f | 6.3 ± 6.3 | |||||
Folic acid supplement use (%) | 231,815 (29.2%) | 2029 (25.5%) | 42,792 (21.2%) | 10,649 (30.8%) | 2996 (29.3%) | 2115 (30.6%) |
Global Burden of Disease Super Regions a | No. of Pregnancies | Folic Acid Supplement Use, No. (%) | Crude Odds Ratio [95% CI] | Adjusted Odds Ratio [95% CI] b |
---|---|---|---|---|
Non-immigrant women c | 793,994 | 231,815 (29.2) | 1.00 | 1.00 |
Central Europe, Eastern Europe, and Central Asia | 51,499 | 14,074 (27.3) | 0.91 [0.89–0.93] | 0.66 [0.64–0.67] |
High-income | 39,145 | 12,483 (31.9) | 1.14 [1.11–1.16] | 0.86 [0.84–0.88] |
Latin America and Caribbean | 5678 | 1436 (25.3) | 0.82 [0.77–0.88] | 0.64 [0.60–0.68] |
North Africa and Middle East | 32,289 | 4434 (13.7) | 0.39 [0.37–0.40] | 0.39 [0.38–0.41] |
South Asia | 13,631 | 2091 (15.3) | 0.44 [0.42–0.46] | 0.43 [0.41–0.45] |
Southeast Asia, East Asia, and Oceania | 30,123 | 5246 (17.4) | 0.51 [0.50–0.53] | 0.45 [0.43–0.46] |
Sub-Saharan Africa | 29,869 | 3028 (10.1) | 0.27 [0.26–0.28] | 0.31 [0.30–0.32] |
Length of Residence (Years) | No. of Pregnancies a | Folic Acid Supplement Use, No. (%) | Crude Odds Ratio [95% CI] | Adjusted Odds Ratio [95% CI] b |
---|---|---|---|---|
Non-immigrant women c | 793,994 | 231,815 (29.2) | 1.00 | 1.00 |
<1 | 18,781 | 2556 (13.6) | 0.38 [0.37–0.40] | 0.39 [0.37–0.41] |
1–2 | 48,144 | 8880 (18.4) | 0.55 [0.54–0.56] | 0.50 [0.49–0.52] |
3–4 | 36,112 | 8234 (22.8) | 0.72 [0.70–0.73] | 0.60 [0.58–0.61] |
5–10 | 58,990 | 14,071 (23.9) | 0.76 [0.74–0.78] | 0.63 [0.62–0.65] |
11–20 | 28,775 | 6370 (22.1) | 0.69 [0.67–0.71] | 0.62 [0.60–0.64] |
>20 | 9412 | 2552 (27.1) | 0.90 [0.86–0.95] | 0.63 [0.60–0.67] |
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Nilsen, R.M.; Daltveit, A.K.; Iversen, M.M.; Sandberg, M.G.; Schytt, E.; Small, R.; Strandberg, R.B.; Vik, E.S.; Aasheim, V. Preconception Folic Acid Supplement Use in Immigrant Women (1999–2016). Nutrients 2019, 11, 2300. https://doi.org/10.3390/nu11102300
Nilsen RM, Daltveit AK, Iversen MM, Sandberg MG, Schytt E, Small R, Strandberg RB, Vik ES, Aasheim V. Preconception Folic Acid Supplement Use in Immigrant Women (1999–2016). Nutrients. 2019; 11(10):2300. https://doi.org/10.3390/nu11102300
Chicago/Turabian StyleNilsen, Roy M., Anne K. Daltveit, Marjolein M. Iversen, Marit G. Sandberg, Erica Schytt, Rhonda Small, Ragnhild B. Strandberg, Eline S. Vik, and Vigdis Aasheim. 2019. "Preconception Folic Acid Supplement Use in Immigrant Women (1999–2016)" Nutrients 11, no. 10: 2300. https://doi.org/10.3390/nu11102300
APA StyleNilsen, R. M., Daltveit, A. K., Iversen, M. M., Sandberg, M. G., Schytt, E., Small, R., Strandberg, R. B., Vik, E. S., & Aasheim, V. (2019). Preconception Folic Acid Supplement Use in Immigrant Women (1999–2016). Nutrients, 11(10), 2300. https://doi.org/10.3390/nu11102300