Abstract
Background
Low folate and vitamin B12 levels have negative effect on pregnancy outcomes but there is paucity of data on their levels among Indian women. Ferritin and haemoglobin are associated with maternal mortality and low birth-weight. Our aim was to estimate the prevalence of deficiency of serum folate and vitamin B12, and low levels of serum ferritin and blood haemoglobin among women of childbearing age from a rural population of South India.
Methods
We conducted a community-based cross-sectional study among 15-35 year women in a rural district. We used multistage stratified random sampling. Trained staff interviewed women to collect socio-demographic information and draw blood samples. We analysed samples for serum folate, vitamin B12, ferritin and blood haemoglobin levels and computed means and medians. We computed the proportion of deficiency based on cut-offs recommended by WHO. We examined the association of levels with age, parity and current pregnancy or breastfeeding by multi-variable regression using Stata 13.0.
Results
We recruited 979 women. One-fifth (185, 19%) were pregnant and one-fifth (196, 20%)were breastfeeding. Median serum folate levels were 2.5 ng/ml (IQR, 1.2-4.8), median vitamin B12 levels were 228.0 pg/ml (IQR, 121 - 390), median ferritin levels were 13.0 μg/l (IQR, 6.0 - 20.0) and median blood haemoglobin levels were 12.1 mg/dl (IQR, 10.7 – 13.6). Low levels of serum folate, vitamin B12, ferritin and haemoglobin were found in 57% (95% CI, 54-60%), 44% (95% CI, 41-48%), 46% (95% CI, 43-49%) and 28% (95% CI, 25-31%) respectively. Women with folic acid deficiency had two times higher prevalence of having vitamin B12 deficiency. In adjusted regression analysis folate levels were lower in older and breastfeeding women, but not associated with parity and were higher among pregnant women. Similar associations were not found with Vitamin B12 deficiency. Ferritin levels were higher in older women; but not associated with parity, pregnancy or breastfeeding. Haemoglobin levels were lower in pregnant and breastfeeding women.
Conclusion
Our findings suggest that folic acid, vitamin B12 and iron deficiency are important public health problems in India. We observed that half of the women of childbearing age were deficient in these nutrients. Folic acid and vitamin B12 deficiencies co-exist and should be supplemented together.
Keywords: Folate, Folic acid, Vitamin B12, Ferritin, Haemoglobin, Deficiency, India, Women of childbearing age
Background
Vitamins such as folic acid and B12 play a key biological role in human reproduction [1] and development of the child [2]. Low folate and vitamin B12 levels in women are associated with megaloblastic anaemia [2] and, gestational hypertension and eclampsia [3] in the mother. Deficiency among mothers may increase the risk of many chronic and developmental disorders including neural tube disorders (NTDs) among their children [2, 4, 5]. Low folate level is an important determinant of spontaneous abortion, recurrent pregnancy loss, stillbirth [6–8], low birth weight [9–11] and preterm birth [10, 12, 13]. Low folate and vitamin B12 levels among a breastfeeding mother may result in poor cognitive functions of the child [2].
Folic acid and vitamin B12 deficiency are common globally, especially in low and middle-income countries (LMICs) [2, 14–17]. A recent systematic review observed that in a majority of countries where national surveys have been conducted, folic acid and vitamin B12 deficiency are public health problems [16]. Studies show that over the course of pregnancy, there is a steady decline in maternal plasma folate levels to about 50% of the non-pregnant levels [18, 19]. There is a paucity of data on folic acid and vitamin B12 deficiency among women in India. The few studies on pregnant women in India reveal that the prevalence of folic acid deficiency ranges between 20 and 30% [4, 20–22] and vitamin B12 deficiency between 50 and 80% [4, 23, 24], which is much higher than that reported from many other (LMICs) [25].
Iron deficiency is widespread across the world and is the most common cause of anaemia [26]. Iron deficiency and anaemia have effects on pregnancy outcome [27], and is known to be the most common contributing cause of maternal deaths in LMICs [28]. A recent systematic review found that daily prenatal use of iron and improvement in haemoglobin levels in pregnant women increased birth weight [29]. In India, four out of five pregnant women are found to be anaemic [30, 31] and many women experience adverse consequences [31].
Folate, vitamin B12 and iron deficiencies may co-exist and contribute to poor outcomes of pregnancy [25]. Serum levels of these nutrients shall be assessed through the stages of lifecycle (adolescent, pregnant and breastfeeding women) of young women to estimate patterns in the population and need of supplementation. The purpose of this study was to measure serum folate, vitamin B12, ferritin and haemoglobin levels, and to estimate the prevalence of deficiencies among 15-35 years women in a rural population of South-India.
Methods
We conducted a population-based cross-sectional survey to assess the nutritional status of women between 15 and 35 years in the rural areas of Mahbubnagar district, Telangana India. Mahbubnagar has poor maternal and child health indicators and is one of the two high priority districts in the state [32].
The study was conducted over a period of 12 months from December 2012 to November 2013.
Study population
All women in the age group 15-35 years, irrespective of their marital, pregnancy and breastfeeding status, residing in the study area at the time of the survey, were eligible for the study.
Sample size
We used the estimates of folate and vitamin B12 for 20-40 year old adults in a study from South-India [33]. We calculated a sample size of 254 would be needed to estimate folic acid levels with a standard deviation of 3.1 ng/ml, absolute precision of 0.5 ng/ml and confidence interval of 99%. For vitamin B12, we calculated a sample size of 457 would be needed to estimate mean with a standard deviation of 166 pg/ml, absolute precision of 20 pg/ml and confidence interval of 99%. About 40% of the women in 15-35 years age in Telangana are likely to be pregnant or breastfeeding at any time. We increased the sample size to 1000 so that we have enough women who were i) neither pregnant nor breastfeeding and ii) those who were pregnant or breastfeeding at the time of the survey, in order to make comparisons.
Sampling
We used a multi-stage stratified random sampling method. A district is divided into five revenue divisions for administrative purposes. We randomly selected one mandal (a smaller administrative unit) from each of the five revenue divisions. We listed all the villages in the sampled mandals and randomly selected 3 villages per mandal. Thus we selected 15 villages from 5 mandals of Mahbubnagar district. We listed households with 15-35 years married or unmarried women in each sampled village and randomly selected 30-35 households. We selected only one woman aged 15-35 per household. If there were more than one women per household, we selected one woman randomly. We included those who consented to the interview and collection of blood sample. The eligible women who were seriously ill (one woman had a high-grade fever and was bedridden) or refused to participate in the study (23 women) were excluded from the study.
Data collection
Trained field officers elicited the socio-demographic and reproductive history of participants using a pre-tested semi-structured questionnaire and conducted anthropometric measurements. We developed a detailed operations manual for blood collection, handling, and transportation. A trained lab technician collected about 10 ml whole blood in EDTA vials/vacutainers under aseptic conditions and centrifuged the sample in the field within 6 h and stored in the refrigerator in the local lab for almost a day. The samples were transported to NIN labs in Hyderabad (100 km) three times per week for testing.
Measurements
Blood tests: Levels of plasma folate and vitamin B12 were measured using the solid phase radioimmunoassay method as reported earlier [33] with a commercially available kit designed for simultaneous measurement of folic acid and vitamin B12 (Siemens Medical Solutions Diagnostics, Los Angeles, USA). Serum ferritin was estimated using an immune radiometric assay system with an available (125I) kit provided by Institute of Isotope Ltd. Blood haemoglobin was estimated using Cyanomethaemoglobin estimation method [34].
We also estimated serum albumin, total protein and vitamin A levels along with anthropometric measures to have an understanding of women’s general nutritional status. We measured weight (kg) and height (cm) (in order to calculate Body mass index (BMI) kg/mt.sq) and skin fold thickness (cms) from four sites- biceps, triceps, subscapular and supra-iliac areas.
Definitions
Folate deficiency was defined as <3 ng/ml, vitamin B12 deficiency as <203 pg/ml, low ferritin as <12 ng/ml, anaemia as haemoglobin <11 g/dL, low protein as <6.4 g/dl, low albumin as <3.5 g/dl, and low vitamin A as >20 μg/dl [2, 35]. These were based on cut-offs recommended by WHO.
Ethics approval
The ethics committee of Public Health Foundation of India (TRC-IEC-117/11) and the National Institute of Nutrition granted ethical approval for this study. A written informed consent was obtained from all the women included in the study. In the case of minors, consent was obtained from one of the parents or guardians.
Statistical analysis
The analysis was conducted using STATA 14.0 SE. We computed mean and median levels of nutrients and the proportion of people with deficiency or low levels of nutrients under study. We estimated median and proportions for age group, parity and pregnancy/lactation status to study patterns. We developed histogram for each of the nutrients and found that serum folate, vitamin B12 and ferritin levels had skewed distribution. So we also estimated geometric means for these nutrients. We used log-transformed values to test for association with factors such as age, parity and current pregnancy or breastfeeding status using multivariable linear regression (model-1). We also conducted regression analysis (model-2) adjusting additionally for serum protein and BMI levels. We did not find any significant association of protein and BMI levels with the four main nutrients under study. The pattern and magnitudes of effect in model-1 did not change in model-2, so we did not report model-2.
Results
A total of 979 women in age 15-35 years were included, of whom 19% were pregnant and 20% were breastfeeding at the time of the survey. (Table 1)
Table 1.
Total | Percent | ||
---|---|---|---|
979 | 100 | ||
Age group | 15-19 | 308 | 31.5 |
20-24 | 338 | 34.5 | |
25-29 | 199 | 20.3 | |
30-35 | 134 | 13.7 | |
Married | Unmarried | 308 | 31.5 |
Married | 656 | 67.0 | |
Widowed/divorced | 15 | 1.5 | |
Currently pregnant/lactating | Currently pregnant | 185 | 18.9 |
Currently Lactating | 196 | 20.0 | |
Others | 598 | 61.1 | |
Parity | 0 | 438 | 44.7 |
1 | 203 | 20.7 | |
2to3 | 303 | 30.9 | |
>3 | 29 | 3.0 | |
Not available | 5 | 0.6 | |
History of still-birth | 28 | 2.9 | |
History of abortion | 99 | 10.1 | |
Age at marriage | <18 years | 381 | 38.9 |
18 or more years | 286 | 29.2 | |
Don’t know | 4 | 0.4 | |
Unmarried | 308 | 31.5 | |
Age at first childbirth | <19 years | 212 | 21.7 |
19 or more years | 328 | 33.5 | |
Don’t know | 1 | 0.1 | |
No birth | 438 | 44.7 |
The distribution curves for the nutrients under study are shown in Fig. 1 and, their mean and median serum/blood levels are shown in Table 2. Distribution curves for serum folate, serum vitamin B12 and serum ferritin levels were skewed and closer to zero. Distribution curves for blood haemoglobin, serum vitamin A, serum protein, serum albumin, BMI and total skinfold thickness (four sites) were near to normal distribution.
Table 2.
Normala | Mean (95% C.I.) | Median (IQR) | Deficiency% (95% C.I.) | |
---|---|---|---|---|
Serum Folate in ng/ml | ≥3 | 4.0 (3.7-4.2) | 2.5 (1.2-4.8) | 56.8 (53.7 – 59.9) |
Serum Vit-B12 in pg/mL | ≥203 | 314.4 (296.6-332.1) | 228 (121.0-390.0) | 44.4 (41.3 – 47.6) |
Serum Ferritin in ng/ml | ≥12 | 21.4 (19.8-23.0) | 13.0 (6.0-20.0) | 46.3 (43.2 – 49.4) |
Blood Haemoglobin in gm/dl | ≥11 | 12.1 (11.9-12.2) | 12.1 (10.7-13.6) | 28.4 (25.6 – 31.4) |
Serum Retinol (Vit-A) in μg/dl | ≥20 | 26.9 (26.3-27.5) | 25.7 (20.2-32.5) | 23.9 (21.3 – 26.7) |
Serum Protein g/dl | 6.4-8.3 | 7.17 (7.12-7.21) | 7.2 (6.8-7.6) | 12.2 (10.3 – 14.4) |
Serum Albumin g/dl | 3.5-5.0 | 4.01 (3.97-4.05) | 4.0 (3.6-4.4) | 18.6 (16.3 – 21.2) |
BMI in kg/sq. metre | 18-25 | 18.6 (18.4-18.8) | 18.8 (17.1-20.7) | 45.6 (42.5 – 48.7) |
Mean Skin fold thickness in mm | - | 9.6 (9.3-9.8) | 9.0 (7.1-11.5) | - |
areference from WHO
Women aged 15-35 years had median serum folate levels of 2.5 ng/ml (IQR, 1.2 - 4.8), median serum vitamin B12 of 228 pg/ml (IQR, 121 - 390), median serum ferritin of 13.0 μg/l (IQR, 6.0 - 20.0) and median haemoglobin of 12.1 g/dl (IQR, 10.7 – 13.6). Mean and median values for nutrients are shown in Table 2. Only median level of folic acid was lower than the recommended cut-off. All other values for all the nutrients under study were above WHO cut-offs.
A large percentage of women were found to have nutritional deficiencies or low levels of ferritin or haemoglobin (Table 2). Folate deficiency was found in 56.8% (95% C.I. 53.7-59.9) women, vitamin B12 deficiency in 44.4% (95% C.I. 41.3-47.6), low serum ferritin in 46.2% (95% C.I. 43.2-49.4) and low haemoglobin levels in 28.4% (95% C.I. 25.3-31.4) of women. About one-half women were found to be underweight. Women with folate deficiency had roughly two times higher prevalence of vitamin B12 deficiency, while no substantial association was observed with ferritin deficiency or low Haemoglobin levels.
Median serum folate levels and prevalence of nutrients with respect to age group, parity and current pregnant/breastfeeding status are described in Table 3. Geometric means and regression analysis results are showed in Table 4.
Table 3.
Folate, ng/ml | Vitamin B12, pg/ml | Ferritin, ng/ml | Haemoglobin, gm/dl | |
---|---|---|---|---|
Median (IQR) | ||||
Age group | ||||
15-19 | 4.1 (2.7 – 6.4) | 225.0 (140.0 – 367.5) | 6.0 (5.0 – 15.0) | 12.5 (10.8 – 13.8) |
20-24 | 1.9 (1.0 – 4.3) | 232.5 (119.8 – 232.5) | 16.4 (9.1 – 31.6) | 12.0 (10.7 – 13.5) |
25-29 | 1.8 (1.0 – 4.4) | 228.0 (107.0 – 435.0) | 14.7 (8.1 – 26.4) | 12.1 (10.7 – 13.6) |
30-35 | 1.8 (1.0 – 2.8) | 228.5 (100.0 – 400.3) | 17.3 (8.7 – 31.6) | 11.9 (10.3 – 13.5) |
Parity | ||||
0 | 3.7 (2.3 – 6.0) | 220.0 (126.0 – 372.0) | 8.3 (5.0 – 20.5) | 12.1 (10.6 – 13.6) |
1 | 2.1 (1.2 – 4.8) | 235.0 (121.0 – 418.0) | 17.6 (9.4 – 28.0) | 11.8 (10.6 – 13.5) |
2to3 | 1.6 (1.0 – 3.0) | 235.0 (120.0 – 421.0) | 16.0 (8.6 – 32.9) | 12.4 (11.1 – 13.7) |
> 3 | 1.0 (1.0 – 2.5) | 257.0 (101.0 – 468.0) | 15.4 (9.1 – 20.1) | 11.8 (10.1 – 13.7) |
Current status | ||||
Not pregnant/lactating | 2.8 (1.5 – 4.7) | 226.0 (120.0 – 390.0) | 9.4 (5.0 – 22.0) | 12.2 (10.7 – 13.7) |
Currently pregnant | 4.3 (2.1 – 10.0) | 218.0 (119.0 – 395.5) | 15.0 (8.8 – 30.1) | 11.3 (9.9 – 12.6) |
Currently lactating | 1.3 (1.0 – 2.1) | 250.5 (131.3 – 385.5) | 19.3 (11.2 – 37.9) | 12.7 (11.4 – 13.9) |
Deficiency % (95% C.I.) | ||||
Age group | ||||
15-19 | 31.8 (26.8 – 37.2) | 45.1 (39.6 – 50.7) | 68.5 (63.1 – 73.5) | 26.9 (22.3 – 32.2) |
20-24 | 66.6 (61.4 – 71.4) | 43.8 (38.6 – 49.1) | 34.0 (29.2 – 39.3) | 29.2 (24.4 – 34.4) |
25-29 | 64.8 (57.9 – 71.2) | 45.2 (38.4 – 52.2) | 40.9 (34.3 – 47.9) | 28.8 (22.8 – 35.6) |
30-35 | 77.6 (69.7 – 83.9) | 43.3 (35.1 – 51.8) | 33.8 (26.3 – 42.3) | 29.7 (22.4 – 38.2) |
Parity | ||||
0 | 40.2 (35.7 – 44.9) | 46.8 (42.2 – 51.5) | 61.1 (56.3 – 65.4) | 29.4 (25.2 – 33.9) |
1 | 61.6 (54.7 – 68.0) | 43.3 (36.7 – 50.3) | 30.5 (24.6 – 37.2) | 31.4 (25.2 – 38.4) |
2 | 74.9 (69.7 – 79.5) | 42.6 (37.1 – 48.2) | 36.5 (31.3 – 42.2) | 24.1 (19.5 – 29.3) |
> 3 | 82.8 (64.3 – 92.8) | 37.9 (22.1 – 56.8) | 44.8 (27.8 – 63.1) | 37.9 (22.2 – 56.8) |
Current status | ||||
Not pregnant/lactating | 54.0 (50.0 – 58.0) | 45.0 (41.0 – 49.0) | 55.7 (51.7 – 59.7) | 27.8 (24.3 – 31.5) |
Currently pregnant | 36.8 (30.1 – 44.0) | 45.9 (38.9 – 53.2) | 36.8 (30.1 – 44.0) | 42.1 (34.9 – 49.7) |
Currently lactating | 84.2 (78.4 – 88.7) | 41.3 (34.6 – 48.4) | 26.5 (20.8 – 33.2) | 18.1 (13.2 – 24.3) |
Table 4.
Folate | Vitamin-B12 | Ferritin | Haemoglobin | |||||
---|---|---|---|---|---|---|---|---|
Geometric Mean (95% C.I.) | Adjusted coefficienta (95% C.I.) | Geometric Mean (95% C.I.) | Adjusted coefficienta (95% C.I.) | Geometric Mean (95% C.I.) | Adjusted coefficienta (95% C.I.) | Arithmetic Mean (95% C.I.) | Adjusted coefficientb (95% C.I.) | |
Age group | ||||||||
15-19 | 4.1 (3.8 - 4.3) | 0 | 214 (196 - 233) | 0 | 9.3 (8.5 - 10.1) | 0 | 12.1 (11.9-12.4) | 0 |
20-24 | 2.4 (2.2- 2.6) | −0.74* (−0.90 - -0.58) | 241 (222 - 260) | 0.04 (−0.14 – 0.22) | 18.0 (16.4 - 19.6) | 0.44* (0.25 - 0.63) | 12.0 (11.8 – 12.3) | −0.35 (−0.89 - 0.19) |
25-29 | 2.4 (2.1 - 2.7) | −0.63*(−0.81 - -0.44) | 247 (222 - 276) | 0.04 (−0.17 – 0.24) | 15.7 (14.0 - 17.7) | 0.38* (0.15 – 0.60) | 12.0 (11.6 – 12.4) | −0.54 (−1.17 - 0.08) |
30-35 | 1.9 (1.7 - 2.1) | −0.73* (−0.93 - -0.53) | 234 (207 - 266) | −0.02 (−0.24 – 0.20) | 17.2 (14.8 - 20.1) | 0.53* (0.29 – 0.78) | 12.0 (11.6 – 12.4) | −0.59 (−1.27 - 0.09) |
Parity | ||||||||
0 | 3.7 (3.4 - 3.9) | 0 | 216 (200 - 232) | 0 | 10.9 (10.1 – 11.9) | 0 | 11.9 (11.7-12.2) | 0 |
1 | 2.7 (2.3 - 3.0) | 0.04(−0.12 – 0.20) | 248 (223 - 276) | 0.12 (−0.06 – 0.29) | 17.6 (15.8 - 19.6) | −0.01 (−0.20 – 0.18) | 11.9 (11.6-12.3) | 0.14 (−0.41 - 0.69) |
2 or more | 1.9 (1.8 - 2.1) | −0.0(−0.24 – 0.09) | 246 (227 - 267) | 0.13 (−0.06 – 0.31) | 17.0 (15.5 - 18.7) | −0.02 (−0.17 – 0.22) | 12.3 (12.0-12.6) | 0.49 (−0.07 - 1.05) |
Current status | ||||||||
Not pregnant/breastfeeding | 2.8 (2.6 - 3.0) | 0 | 225 (212 - 240) | 0 | 11.7 (10.9 – 12.5) | 0 | 12.1 (11.9-12.3) | 0 |
Pregnant | 4.5 (3.9 - 5.1) | 0.81*(0.67 – 0.95) | 239 (214 - 267) | 0.01 (−.15 – 0.16) | 17.7 (15.7 – 19.9) | 0.23 (0.06 – 0.40) | 11.3 (11.0-11.6) | −0.57** (−1.05 - -0.09) |
Breastfeeding | 1.6 (1.5 - 1.8) | −0.17**(−0.32 - -0.03) | 248 (224 - 274) | −0.01 (−0.17 – 0.15) | 20.4 (18.2 – 22.8) | 0.36* (0.18 – 0.53) | 12.8 (12.5-13.0) | 0.68** (0.19 - 1.16) |
aRegress Ln X age_group parity current_status; b Regress X age_group parity current_status; * p value <0.001
The proportion of folate deficiency was higher as age increased while ferritin deficiency was lower. Folate deficiency was higher as multiparity increased while ferritin deficiency was highest in nulliparous and high in grand multiparous women. The proportion of folate deficiency was lowest, ferritin was low but the proportion of anaemia was highest among currently pregnant women. Proportion of anaemia did not vary substantially with age or multiparity. Proportion of vitamin B12 deficiency did not vary with any group.
After adjustment for age group, parity and pregnancy/breastfeeding status, we observed that folate levels were low in older women (p < 0.001), but there was no association with parity. Pregnant women had higher folate levels and breastfeeding women had lower folate levels compared to non-pregnant/breastfeeding women (p < 0.001).
After adjusted analysis, serum vitamin B12 levels were not associated with age group, parity or pregnancy/breastfeeding status. Serum ferritin levels were higher for older, pregnant and breastfeeding women but were not associated with parity. Blood haemoglobin levels were lower among pregnant and breastfeeding women (p = 0.019 and 0.006).
Discussion
In our study, nearly half women had folate, vitamin B12 and iron deficiency. These proportions were higher compared to other studies from India [4, 20–22, 33, 36] and other low-middle income countries [25]. Furthermore, in our study women with folic acid deficiency were two times more likely to have vitamin B12 deficiency compared to women without folic acid deficiency. Our study population was mostly rural from a poor district. It is likely that women in our study had poor diet contributing to high proportion of folic acid and vitamin B12 deficiency.
We observed that after adjusting for parity and age, folate and ferritin levels were higher in pregnant women compared to non-pregnant women. Most pregnant women receive iron-folic acid supplementation during pregnancy thus they may have higher serum levels of these, opposite to what is physiologically expected. Vitamin B12 deficiency is comparatively higher in adolescents and continues to be so in other stages. Studies among adolescents [37] and non-pregnant women [38] from other parts of India report a high prevalence of vitamin B12 deficiency but no folic acid deficiency. Studies of pregnant women in India have reported lower proportions of folic acid deficiency (20-30%) but higher proportions of vitamin B12 deficiency (50-80%) compared to our study [4, 23, 24]. Evidence from several studies suggests that folic acid and vitamin B12 deficiency are widespread and common in India.
Despite the high prevalence of folic acid, vitamin B12 and iron deficiency in this population, anaemia was observed only in 28% women which was lesser than estimates for women from the state of Telangana (57%) [39]. A review found that biochemical deficiency of folic acid and vitamin B12 does not translate into comparable prevalence of anaemia due to iron deficiency, malaria etc. [40] Our study district had a low prevalence of malaria compared to other tribal areas in the state thus may have a low prevalence of anaemia. Role of high prevalence of folic acid and vitamin B12 deficiency during pre- and peri-conception period shall be assessed by studying burden of adverse outcomes of pregnancy such as NTDs [2].
In our study, we found that low folate levels were associated with older age and pregnancy and breastfeeding status but not with parity. A survey in urban adult population in South India also observed an age-related decrease in folic acid levels [33]. The folic acid deficiencies are likely to worsen with subsequent pregnancies [41] especially where the birth interval is short [42]. Vitamin B12 levels were not found to be associated with age, parity or current pregnancy and breastfeeding status.
A study among adults in South-India found that 66% and 40% of the study population was meeting 70% of the RDA for folic acid and vitamin B12 [33]. This study found a correlation between the plasma status and the dietary intake of vitamin B12, while the plasma status and the dietary intake of folic acid were not correlated [33]. In India, women with confirmed pregnancy are given 5 mg folic acid tablets daily till 3 months of pregnancy after which they are provided iron-folic acid tablets. But due to unawareness about folic acid supplementation and since most of the pregnancies are unplanned, women contact health care providers in the first trimester or later.
Folic acid and vitamin B12 deficiency during pregnancy lead to maternal hyperhomocysteinemia which is associated with adverse outcomes of pregnancy. In the predominantly vegetarian Indians who eat only small amounts of animal-derived foods [33, 43], hyperhomocysteinemia is usually associated with vitamin B12 deficiency [44–46]. A study from India found that vitamin B12 supplementation but not folic acid was associated with lower plasma total homocysteine concentration [4].
Given the evidence on folic acid and vitamin B12 deficiencies from India (including the current study), a public health intervention shall address nutritional deficiencies for all stages of the women’s life-cycle along with associated social and developmental factors [25, 47]. All women planning pregnancy and, pregnant and breastfeeding mothers in India, especially from tribal and rural populations, should have access to nutrients rich food and supplementation [2, 5, 48]. Several reviews and guidelines have prescribed dosage for folic acid supplementation but there are no dosages identified for vitamin B12 supplementation [5]. Even at the prescribed dosages, monitoring of the consequences of folic acid and vitamin B12 intake are required to measure harmful effects of these at high concentrations [5, 49].
Our study provides community-based evidence for folic acid and vitamin B12 deficiency among non-pregnant, pregnant and breastfeeding women, and assessed the pattern across these stages adjusting for age and parity. The levels in non-pregnant women shall reflect preconception folate and vitamin B12 levels and thus help while planning and follow-up of nutrition interventions. We did not do a dietary assessment and thus were not able to associate findings with nutritional uptake. We did not capture information on gestational age thus couldn’t assess association with trimesters in pregnancy. Our study was in a predominantly rural and poor population thus results are not generalizable to the whole of India. Further research is required to assess the association of these deficiencies with adverse pregnancy outcomes in India and define the cut-offs for Indian population.
Conclusions
One in two women in the childbearing age group is deficient in folate, vitamin B12 and iron in rural South-India. Anaemia was found in one in four women. Never pregnant women had a high proportion of vitamin B12 deficiency but not folic acid. Folate deficiency increased with age. Our findings confirm that folate and vitamin B12 deficiency is a public health problem in rural women of childbearing age. As these deficiencies are likely to lead to poor foetal and maternal outcomes, nutrition supplementation programs should focus on providing these micronutrients, especially to women in a child-bearing age in high folic acid and vitamin B12 deficient populations. As folic acid and vitamin B12 deficiencies co-exist they should be supplemented together. However, doses of folic acid and particularly vitamin B12 and their side effects at higher doses will need to be monitored.
Acknowledgements
The study was conducted as a substudy in collaboration with National Institute of Nutrition (NIN), Hyderabad. This work was supported by a Wellcome Trust Capacity Strengthening Strategic Award to the Public Health Foundation of India and a consortium of UK universities.
Funding
This work was supported by a Wellcome Trust Capacity Strengthening Strategic Award to the Public Health Foundation of India and a consortium of UK universities.
Availability of data and materials
The datasets generated and analysed during the current study are not publicly available. The data was collected as a part of an ongoing study which is yet to be completely analysed. The data can be made available upon request to National Institute of Nutrition (NIN), India.
Abbreviations
- BMI
Body mass index
- IQR
Inter-quartile range
- LMIC
Low and middle-income country;
- NTD
Neural tube disorder
Authors’ contributions
Conception of the study: GVSM, JJBG, GBR, SBN, SRK, PD, SK, SS and AN. Data analysis and interpretation: SS, DRP and HBP. Drafting the manuscript: SS, NJ, DRP, HBP, JJBG, and GBR. Critical revision of the Manuscript: GVSM, PD, AN, SK, SKR, and SBN. Writing of the final manuscript: SS, JJBG, GBR, GVSM and DRP. Final Approval of the version to be published: GVSM, AN, SK, PD, SRK, SBN, NJ, HBP, DRP, GBR, JJBG and SS.
Ethics approval and consent to participate
The ethics committee of Public Health Foundation of India granted ethical approval for this study (TRC-IEC-117/11). A written informed consent was obtained from all the women before conducting the interview. Permission was sought from the district administration before initiation of the study.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
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Contributor Information
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References
- 1.Molloy AN, Kirke PN, Brody LC, Scott JM, Mills JL. Effects of folate and vitamin B12 deficiencies during pregnancy on fetal, infant and child development. Food Nutr. Bull. 2008;29(Suppl 1):101–111. doi: 10.1177/15648265080292S114. [DOI] [PubMed] [Google Scholar]
- 2.WHO Conclusions of a WHO Technical Consultation on folate and vitamin B12 deficiencies. Food Nutr Bull. 2008;29(Suppl 2):238–244. doi: 10.1177/15648265080292S129. [DOI] [PubMed] [Google Scholar]
- 3.Hua X, Zhang J, Guo Y, Shen M, Gaudet L, Janoudi G, et al. Effect of folic acid supplemenattion during pregnancy on gestational hypertension/pre-eclampsia: A systematic review and meta-analysis. Hypertens. Pregnancy. 2016;35(4):447–460. doi: 10.1080/10641955.2016.1183673. [DOI] [PubMed] [Google Scholar]
- 4.Katre P, Bhat D, Lubree H, Otiv S, Joshi S, Joglekar C, et al. Vitamin B12 and folic acid supplementation and plasma total homocysteine concentrations in pregnant Indian women with low B12 and high folate status. Asia Pac J Clin Nutr. 2010;19(3):335–343. [PubMed] [Google Scholar]
- 5.Wilson RD, et al. Pre-conception Folic Acid and Multivitamin Supplementation for the Primary and Secondary Prevention of Neural Tube Defects and Other Folic Acid-Sensitive Congenital Anomalies. J Obstet Gynaecol Can. 2015;37(6):534–549. doi: 10.1016/S1701-2163(15)30230-9. [DOI] [PubMed] [Google Scholar]
- 6.Nelen WL, Blom HJ, Steegers EA, den Heijer M, Eskes TK. Hyperhomocysteinemia and recurrent early pregnancy loss: A meta-analysis. Fertil Steril. 2000;74:1196–1199. doi: 10.1016/S0015-0282(00)01595-8. [DOI] [PubMed] [Google Scholar]
- 7.Ronnenberg AG, Goldman MB, Chen D, Aitken IW, Willett WC, Selhub J, et al. Preconception homocysteine and B vitamin status and birth outcomes in Chinese women. Am J Clin Nutr. 2002;76(6):1385–1391. doi: 10.1093/ajcn/76.6.1385. [DOI] [PubMed] [Google Scholar]
- 8.George L, Mills JL, Johansson AL, Nordmark A, Olander B, Granath F, et al. Plasma folate levels and risk of spontaneous abortion. JAMA. 2002;288:1867–1873. doi: 10.1001/jama.288.15.1867. [DOI] [PubMed] [Google Scholar]
- 9.Relton CL, Pearce MS, Parker L. The influence of erythrocyte folate and serum vitamin B12 status on birth weight. Br J Nutr. 2005;93:593–599. doi: 10.1079/BJN20041395. [DOI] [PubMed] [Google Scholar]
- 10.Hodgetts VA, Morris RK, Francis A, Gardosi J, Ismail KM. Effectiveness of folic acid supplementation in pregnancy on reducing the risk of small-for-gestational age neonates: a population study, systematic review and meta-analysis. BJOG. 2014; doi:10.1111/1471-0528.13202. [DOI] [PubMed]
- 11.Fekete K, Berti C, Trovato M, Lohner S, Dullemeijer C, Souverein OW, et al. Effect of folate intake on health outcomes in pregnancy: a systematic review and meta-analysis on birth weight, placental weight and length of gestation. Nutr J. 2012;11:75. doi: 10.1186/1475-2891-11-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Siega-Riz AM, Savitz DA, Zeisel SH, Thorp JM, Herring A. Second trimester folate status and preterm birth. Am J Obstet Gynecol. 2004;191:1851–1857. doi: 10.1016/j.ajog.2004.07.076. [DOI] [PubMed] [Google Scholar]
- 13.Saccone G, Berghella V. Folic acid supplementation in pregnancy to prevent preterm birth: a systematic review and meta-analysis of randomized controlled trials. Eur J Obstet Gynecol Reprod Biol. 2016;199:76–81. doi: 10.1016/j.ejogrb.2016.01.042. [DOI] [PubMed] [Google Scholar]
- 14.Jiang T, Christian P, Khatry SK, Wu L, West KP., Jr Micronutrient deficiencies in early pregnancy are common, concurrent and vary by season among rural Nepali pregnant women. J Nutr. 2005;135(5):1106–1112. doi: 10.1093/jn/135.5.1106. [DOI] [PubMed] [Google Scholar]
- 15.Mclean E, Benoist BD, Allen LH. Review of the magnitude of folate and vitamin B12 deficiencies worldwide. Food Nutr. Bull. 2008;29(Suppl 2):38–51. doi: 10.1177/15648265080292S107. [DOI] [PubMed] [Google Scholar]
- 16.Hao L, Ma J, Stampfer MJ, Ren A, Tian Y, Tang Y, et al. Geographical, seasonal and gender differences in folate status among Chinese adults. J Nutr. 2003;133(11):3630–3635. doi: 10.1093/jn/133.11.3630. [DOI] [PubMed] [Google Scholar]
- 17.Gamble MV, Ahsan H, Liu X, Factor-Litvak P, Ilievski V, Slavkovich V, et al. Folate and cobalamin deficiencies and hyperhomocysteinemia in Bangladesh. Am J Clin Nutr. 2005;81(6):1372–1377. doi: 10.1093/ajcn/81.6.1372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ek J, Magnus EM. Plasma and red blood cell folate during normal pregnancies. Acta Obstet Gynaecol Scand. 1981;60:247–251. doi: 10.3109/00016348109158126. [DOI] [PubMed] [Google Scholar]
- 19.Bruinse HW. Van den berg H. Changes of some vitamin levels during and after normal pregnancy. Eur J Obstet Gynecol Reprod Biol. 1995;61:31–37. doi: 10.1016/0028-2243(95)02150-Q. [DOI] [PubMed] [Google Scholar]
- 20.Pathak P, Kapil U, Kapoor SK, Saxena R, Kumar A, Gupta N, et al. Prevalence of multiple micronutrient deficiencies amongst pregnant women in a rural area of Haryana. Indian J Pediatr. 2004;71:1007–1014. doi: 10.1007/BF02828117. [DOI] [PubMed] [Google Scholar]
- 21.Iyengar L. Folic acid requirements of Indian pregnant women. Am J Obstet Gynaecol. 1971;111:13–16. doi: 10.1016/0002-9378(71)90918-5. [DOI] [PubMed] [Google Scholar]
- 22.Vijayalakshmi P, Shobana R. Impact of iron and folic acid supplementation on expectant mothers and their offspring. Indian J Nutr Diet. 1982;19(12):363–369. [Google Scholar]
- 23.Yusufji D, Mathan VI, Baker SJ. Iron, folate, and vitamin B12 nutrition in pregnancy: a study of 1000 women from southern India. Bull World Health Organ. 1973;48(1):15–22. [PMC free article] [PubMed] [Google Scholar]
- 24.Pathak P, Kapil U, Yajnik CS, Kapoor SK, Dwivedi SN, Singh R. Iron, folate, and vitamin B12 stores among pregnant women in a rural area of Haryana State, India Food Nutr. Bull 2007;28(4):435-438. [DOI] [PubMed]
- 25.Darnton-Hill I, Mkparu UC. Micronutrients in Pregnancy in Low- and Middle-Income Countries. Nutrients. 2015;7:1744–1768. doi: 10.3390/nu7031744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.WHO. Microdeficiencies: Iron deficiency anaemia. http://www.who.int/nutrition/topics/ida/en/. Accessed 5 May 2017.
- 27.Allen LH. Anemia and iron deficiency: effects on pregnancy outcome. Am J Clin Nutr. 2000;71(5 Suppl):1280–1284. doi: 10.1093/ajcn/71.5.1280s. [DOI] [PubMed] [Google Scholar]
- 28.Brabin BJ, Hakimi M, Pelletier D. An Analysis of Anemia and Pregnancy-Related Maternal Mortality. J Nutr. 2001;131(2 Suppl):604–615. doi: 10.1093/jn/131.2.604S. [DOI] [PubMed] [Google Scholar]
- 29.Haider BA, Olofin I, Wang M, Spiegelman D, Ezzati M, Fawzi WW. Anaemia, prenatal iron use, and risk of adverse pregnancy outcomes: systematic review and meta-analysis. BMJ. 2013;346. doi: https://doi.org/10.1136/bmj.f3443 Accessed 5 May 2017 [DOI] [PMC free article] [PubMed]
- 30.Agarwal KN, Agarwal DK, Sharma A, Sharma K, Prasad MC, Kalita N, et al. Prevalence of anaemia in pregnant & lactating women in India. Indian J Med Res. 2006;124:173–184. [PubMed] [Google Scholar]
- 31.Kalaivani K. Prevalence & consequences of anaemia in pregnancy. Indian J Med Res. 2009;130:627–633. [PubMed] [Google Scholar]
- 32.Ministry of Health and Family Welfare. India’s Reproductive, Maternal, Newborn, Child, and Adolescent Health (RMNCH+A) Strategy. July 2014. http://www.mchip.net/sites/default/files/RMNCH+A%20in%20India.pdf. Accessed 22 Jun 2017.
- 33.Sivaprasad M, Shalini T, Balakrishna N, Sudarshan M, Lopamudra P, Suryanarayana P, et al. Status of vitamin B12 and folate among the urban adult population in South India. Ann Nutr Metab. 2016;68(2):94–102. doi: 10.1159/000442677. [DOI] [PubMed] [Google Scholar]
- 34.International Committee for Standardization in Haematology Recommendations for reference method for haemoglobinometry in human blood (ICSH Standard EP 6/2: 1977) and specifications for international haemiglobincyanide reference preparation (ICSH Standard EP 6/3: 1977) J Clin Pathol. 1978;31:139–143. doi: 10.1136/jcp.31.2.139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.WHO. Report: Priorities in the assessment of Vitamin A and Iron status in populations. Panama city, Panama, 15-17 Sept 2010. http://apps.who.int/iris/bitstream/10665/75334/1/9789241504225_eng.pdf?ua=1. Accessed 5 May 2017.
- 36.Satyanarayana A, Balakrishna N, Pitla S, Reddy PY, Mudili S, Lopamudra P, et al. Status of B-vitamins and homocysteine in diabetic retinopathy: association with vitamin-B12 deficiency and hyperhomocysteinemia. PLoS One. 2011;6(11):e26747. doi: 10.1371/journal.pone.0026747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Banasal PG, Toteja GS, Bhatia N, Vikram NK, Siddhu A, Garg AK, et al. Deficiencies of Serum Ferritin and Vitamin B12, but not Folate, are Common in Adolescent Girls Residing in a Slum in Delhi. Int J Vitam Nutr Res. 2015;85(1-2):14–22. doi: 10.1024/0300-9831/a000219. [DOI] [PubMed] [Google Scholar]
- 38.Menon KC, Skeaff SA, Thomson CD, Gray AR, Ferguson EL, Zodpey S, et al. Concurrent micronutrient deficiencies are prevalent in nonpregnant rural and tribal women from central India. Nutrition. 2011;27(4):496–502. doi: 10.1016/j.nut.2010.02.012. [DOI] [PubMed] [Google Scholar]
- 39.IIPS. National Family Health Survey - 4; State fact sheet- Telangana. Indian Institute of Population Sciences, Mumbai; Government of India. 2015. http://rchiips.org/NFHS/pdf/NFHS4/TG_FactSheet.pdf. Accessed 5 May 2017.
- 40.Metz JA. A high prevalence of biochemical evidence of vitamin B12 or folate deficiency does not translate into a comparable prevalence of anemia. Food Nutr Bull. 2008;29(Suppl 2):74–85. doi: 10.1177/15648265080292S111. [DOI] [PubMed] [Google Scholar]
- 41.Megahed MA, Taher IM. Folate and homocysteine levels in pregnancy. Br J Biomed Sci. 2004;61:84–87. doi: 10.1080/09674845.2004.11732649. [DOI] [PubMed] [Google Scholar]
- 42.Smits LJ, Essed GG. Short interpregnancy intervals and unfavourable pregnancy outcome: The role of folate. Lancet. 2001;358:2074–2077. doi: 10.1016/S0140-6736(01)07105-7. [DOI] [PubMed] [Google Scholar]
- 43.Ingole JR, Patel RD, Ingole SJ, Pandave HT. Opportunistic Screening of Vitamin B12 Deficiency in IT Professionals Presenting for Routine Health Check-up. J Clin Diagn Res. 2015;9(12):OC01–OC02. doi: 10.7860/JCDR/2015/16191.6866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Yajnik CS, Deshpande SS, Jackson AA, Refsum H, Rao S, Fisher DJ, et al. Vitamin B12 and folate concentrations during pregnancy and insulin resistance in the offspring: the Pune Maternal Nutrition Study. Diabetologia. 2008;51(1):29–38. doi: 10.1007/s00125-007-0793-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Yajnik CS, Deshpande SS, Lubree HG, Naik SS, Bhat DS, Uradey BS, et al. Vitamin B12 deficiency and hyperhomocysteinemia in rural and urban Indians. J Assoc Physicians Ind. 2006;54(10):775–782. [PubMed] [Google Scholar]
- 46.Yajnik CS, Deshpande SS, Panchanadikar AV, Naik SS, Deshpande JA, Coyaji KJ, et al. Maternal total homocysteine concentration and neonatal size in India. Asia Pac J Clin Nutr. 2005;14(2):179–181. [PubMed] [Google Scholar]
- 47.Darnton-Hill I, Webb P, Harvey PWJ, Hunt JM, Dalmiya N, Chopra M, et al. Micronutrient deficiencies and gender: Social and economic costs. Am J Clin Nutr. 2005;81(5 Suppl):1198–1205. doi: 10.1093/ajcn/81.5.1198. [DOI] [PubMed] [Google Scholar]
- 48.De-Regil LM, Peña-Rosas JP, Fernández-Gaxiola AC, Rayco-Solon P. Effects and safety of periconceptional oral folate supplementation for preventing birth defects. Cochrane Database Syst Rev. 2015, Issue 12. Art. No. CD007950. doi: 10.1002/14651858.CD007950.pub3. [DOI] [PMC free article] [PubMed]
- 49.Barua S, Kuizon S, Junaid MA. Folic acid supplementation in pregnancy and implications in health and disease. J Biomed Sci. 2014;21:77. doi: 10.1186/s12929-014-0077-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated and analysed during the current study are not publicly available. The data was collected as a part of an ongoing study which is yet to be completely analysed. The data can be made available upon request to National Institute of Nutrition (NIN), India.