Vitamin D Postpartum Concentrations: Relationship with Nutritional Condition and Morbidities during Pregnancy.
Pregnancy is a dynamic period with anatomical and physiological changes for women and their developing fetus. Vitamin D deficiency is a severe public health problem affecting around 1 billion people worldwide [1, 2]. Pregnant women are identified as risk groups for deficiency even in regions with adequate sun exposure [3-5].
The first weeks of gestation experience a twofold-threefold increase in the concentrations of 1.25[(OH).sub.2]D with immunomodulatory effects [6, 7]. As pregnancy progresses from the end of the first trimester to puerperium, an increased concentration of 25(OH)D and 1.25[(OH).sub.2]D occurs to ensure adequate calcium supply to the fetal skeleton [7, 8]. The mechanisms involved in this increase have not yet been fully elucidated. However, the participation of estrogen  is postulated.
Given the short biological half-life of 1.25[(OH).sub.2]D, the nutritional condition for vitamin D is usually determined by serum concentrations of 25(OH)D, the primary circulating form of this vitamin in the blood [8, 9].
Vitamin D insufficiency during pregnancy contributes to adverse outcomes, such as gestational diabetes, preeclampsia, preterm birth, and fetal intrauterine growth restriction, among others [3, 4, 10]. Deficiency and insufficiency are defined by concentrations of 25(OH)D below 20.0 ng/mL (50.0 nmol/L) and 30.0ng/mL (75.0 nmol/L), respectively . Studies suggest that concentration above 40ng/mL during pregnancy could be effective in reducing the risk of prematurity .
A recent systematic review described the overall mean prevalence levels of vitamin D deficiency of 54% and 75% in pregnant women and newborns, respectively . In postpartum, the prevalence of deficiency in women are also high at 63% average [13, 14].
While evidence points to the high prevalence of deficiency, there is still no consensus on the evaluation of the nutritional condition related to vitamin D and the need for routine supplementation for pregnant women [15, 16]. In Brazil there is no recommendation for universal supplementation during pregnancy.
Ethnicity, latitude, season, sunscreen, and body mass index influence vitamin D concentrations .The maternal nutritional status, as measured by prior body mass index and gestational weight gain, may influence serum concentrations of vitamin D. Gestational obesity is associated with a reduced placental transfer of this vitamin to the fetus, bioavailability, and mother and child serum levels .
Considering the lack of studies that evaluated vitamin D concentrations of women in early puerperium in our country, especially in regions with high sun exposure and low economic status, we carried out this study to evaluate maternal postpartum vitamin D concentrations and to relate it to pregestational BMI, gestational weight gain, and sociodemographic characteristics.
2. Materials and Methods
A cross-sectional study was carried out between October and December 2016, in a reference maternity ward in the city of Crato, rural area of the State of Ceara (latitude 07[degrees] 14' 03" S and longitude 39[degrees] 24' 34" W). The city's climate is mostly tropical throughout the year, with temperatures ranging from 24[degrees]C to 27[degrees]C, with a peak of 33[degrees]C and a low of 18[degrees]C.
This is a sample of convenience that included consecutively 225 postpartum mothers. Pregnant women with endocrinological (other than diabetes), rheumatologic, and renal diseases were excluded from the study, as were those who used medications that interfered with the metabolism of vitamin D, such as diuretics, antihypertensives, and immunosuppressants (corticosteroids) and those who had deliveries in less than 37 weeks of gestational age.
The study observed the ethical precepts of the Declaration of Helsinki and Resolution 510/2016 of the Brazilian National Health Council, and participating women signed the Informed Consent Form (ICF). The Human Research Ethics Committee of the Faculty of Medicine of the ABC, Santo Andra, approved the study under opinion no 1.813.560.
2.1. Data Collected
2.1.1. Maternal Socioeconomic Status and Gestational Data. Standardized survey containing information on life habits, socioeconomic status, use of medications, personal and obstetrical background, and previous diseases developed during pregnancy was applied to women. Regarding the vitamin D related nutritional status, we investigated the use of vitamin/mineral supplements, skin color, frequency of sun exposure, and photoprotection. The prenatal examination card was also checked to collect information on the development of gestation, the date of the last menstrual period, anthropometric measurements, and laboratory tests.
The body mass index (BMI, kg/[m.sup.2]) was calculated based on the weight and height measures contained in the card and was classified according to the gestational age as low, adequate, overweight, and obesity. Gestational weight gain was also noted, and the cutoff proposed by the Institute of Medicine were used for classification based on prepregnancy BMI (underweight: 13 a 18 kg, normal weight: 11 a 16 kg, overweight: 7 a 11 kg, and obese: 5 a 9 kg) .
2.2. Laboratory Tests. Blood samples were collected from women in a rooming-in setting, within 24 hours of delivery. We collected 1.5 mL of blood via peripheral venipuncture, which was packed in vials with photoprotection and transferred under refrigeration to the clinical laboratory for centrifugation and analysis. Concentrations of 25(OH)D were determined by electrochemiluminescence with UniCel DXI 800 Immunoassay System, Beckman Coulter. Calcium, phosphorus, magnesium, and alkaline phosphatase concentrations were evaluated by spectrophotometry using the Vitros 5600 Integrated System, Ortho-Clinical Diagnostics. Plasma concentrations of 25(OH)D below 20 ng/mL were defined as deficiency, between 20 ng/mL and 30 ng/mL as insufficiency and above 30 ng/mL as sufficiency.
All calculations followed good clinical practice. The average of 19.9 ng/mL (SD: 0.948 ng/mL and an intracontrol CV of 4.8%) was the referred reproducible one for measuring 25(OH)D. For the same parameter, the intermediate precision was 19.9 ng/mL (SD: 1.23 ng/mL and an intracontrol CV of 6.2%).
2.3. Statistical Analysis. A spreadsheet was built in Excel[R] Office containing information on identification, general characteristics, questionnaire data on pregnant women, anthropometric data, and laboratory test results. The spreadsheet was revised, consolidated, and imported in the SPSS 24.0 statistical package (IBM[R]). Categorical variables were shown as absolute and percentage numbers and compared by the Chi-square test. Continuous variables were tested for their normality, shown as mean (standard error) and compared using Student's t-test. The linear regression Enter method was used for multivariate analysis. Statistical significance is claimed for p < 0.05.
The mean age of women included in the study was 25.6[+ or -]6.6 years (range: 15.3 to 44.3 years). A predominance of dark skin (178, 79.1%), low education (less than four years, 197, 87.6%), and working in the urban area (127, 56.4%) was observed. One hundred and eight (48.0%) women were primiparous (Table 1).
Regarding prenatal care, all women had at least one visit, and 189 (84%) attended more than six visits. Regular sun exposure, use of photoprotection, and vitamin D supplementation were reported by 144 (64.0%), 44 (19.6%), and five (2.2%) of the women evaluated, respectively (Table 1). The vitamin D supplements contained colecalciferol concentration of 250 to 400 UI.
The main complication during gestation was the urinary tract infection (72 cases, 32%), followed with a smaller proportion of pregnancy-specific hypertensive disease (20 cases, 8.9%), gestational diabetes (2 cases, 0.9%), and bleeding (17 cases, 7.6%) (Table 1). The mean gestational age was 39.1[+ or -]1.1 weeks, with mostly surgical deliveries (164, 72.9%).
Regarding nutritional status, pregestational BMI was compatible with malnutrition, overweight, and obesity in 19 (8.5%), 49 (21.9%), and 28 (12.0%) women, respectively. Gestational weight gain was low, adequate, and higher than recommended in 83 (36.9%), 70 (31.1%), and 71 (31.6%) women, respectively (Table 1).
The combined analysis of gestational weight gain according to the previous nutritional condition showed that only 11 (13.3%), 42 (50.6%), 20 (24.1%), and 10 (12.0%) women with malnutrition, normal weight, overweight, and obesity gained weight as recommended (Table 1). Gestational weight gain was more appropriate for women with normal pregestational BMI (42, 50.6%) (p <0.001).
The mean maternal postpartum 25(OH)D plasma concentrations were 26.0[+ or -]6.8 ng/mL (range: 8.4 to 52.5 ng/mL). Levels compatible with deficiency (<20 ng/mL) and insufficiency (20 to 30 ng/mL) were observed in 43 (19.1%) and 124 (55.1%) women, respectively. Thus, only 58 (25.8%) had sufficient concentrations of 25(OH)D (>30 ng/mL) (Table 1).
There was no association of 25(OH)D concentrations with pregestational BMI nor with gestational weight gain, when these indicators were evaluated separately and in combination, as shown in Figure 1.
The maternal postpartum 25(OH)D concentrations correlated directly those of calcium (r=0.173, p=0.009) and alkaline phosphatase (r=0.149; p=0.025). Multivariate analysis showed that each increase of 1 ng/mL in 25(OH)D concentrations was associated with an increase of 0.16 mg/dL (95% CI 0.19 to 2.02, p=0.018) for calcium.
Table 2 compared the maternal postpartum 25(OH)D levels below and above 30 ng/mL. The 25(OH)D insufficiency (< 30 ng/mL) was not associated with any of the clinical and socioeconomic studied variables.
In this study postpartum vitamin D insufficiency was observed in 74% of women. There was no association of insufficiency with maternal pregestational BMI and gestational weight gain. It should be noted that this study was collected during the spring in the region of Crato, where ultraviolet radiation is high throughout the year.
Seasonal variation of vitamin D predominates in regions with higher latitude and better defined seasons, such as, for example, in European countries such as Ireland (52[degrees]N) or Poland (52[degrees]N), with lower concentrations of vitamin D during winter [19, 20].
The high prevalence of deficiency/insufficiency, particularly in low-income countries such as those observed by us, has implications for mother and child health, with data supported by two meta-analyses [21, 22]. Showing the global situation of vitamin D deficiency in pregnant women and newborns, Saraf et al.  emphasized the relevance of the subject as a priority agenda for public health intervention, describing deficiency in 54% of pregnant women and 75% of newborns, respectively.
In our study, despite low frequency of vitamin D supplementation during pregnancy, postpartum deficiency was lower than other studies with similar population. The fact of our study has been performed in a place with high insolation rate, during the spring and summer seasons, and women often expose themselves to the sun could be explain this lower prevalence of deficiency found [20, 22, 23]. The collection of 25(OH)D within the first 24 hours of delivery may also justify this finding; it is known that pregnant women have about twice as much more circulating vitamin D metabolites compared to nonpregnant women [6, 19].
A cohort study with 229 Brazilian pregnant women described the evolution of 25(OH)D and 1.25[(OH).sub.2]D concentrations during pregnancy. The prevalence of insufficiency was 70.4%, similar to that observed by us. Pregnant women who started pregnancy in winter, autumn and spring showed progressive elevation in the concentrations of both metabolites, something not observed for those who became pregnant in the summer. The increase was also higher in those who started pregnancy with deficiency/insufficiency compared to those with sufficiency. Like our findings, there was no association with pregestational BMI .
There are few studies that evaluated vitamin D concentrations in the immediate puerperium. A Jordanian study (n=171) described deficiency and insufficiency in 76% and 24% of puerperae, respectively. Contrary to the observed by us, the authors described association between low 25(OH)D concentrations with multiparity and breastfeeding .
Strategies to raise postpartum vitamin D concentrations include supplementation, advice for sun exposure (15-20% of body surface area), and intake of source foods. There is still no consensus on the dose that should be used for the supplementation ofwomen in gestation and puerperal period [22, 23]. In our study, maternal supplementation was not associated with better postpartum vitamin D concentrations. We speculate that the lack of association between vitamin D insufficiency and maternal vitamin D intake is due to the low number of women with vitamin D supplementation.
The identification of postpartum deficiency/insufficiency vitamin D may represent a window of opportunity for vitamin D supplementation aiming at raising vitamin D concentrations in women [24, 25].
We observed that postpartum 25(OH)D concentrations were directly related to calcium and alkaline phosphatase concentrations, similar to that observed by Abbasian et al. . The lack of association between vitamin D deficiency/ insufficiency, maternal nutritional status, sociodemographic and clinical variables related to vitamin D suggests the existence of other associated factors not considered in this study.
This study had some limitations. First, inclusion of pregnant women limited to spring and summer seasons, lack of a control group of nonpregnant women, single vitamin D collection during postpartum, low frequency of intake vitamin D supplements, and not including data on dietary intake and physical activity.
The high frequency of postpartum vitamin D deficiency/insufficiency in a region with extensive and permanent sun exposure reminds us of the need to discuss public intervention policies aimed at reducing the prevalence of vitamin D deficiency during the pregnancy.
This study identified a high frequency of postpartum 25(OH)D insufficiency in healthy not supplemented women, living in high solar incidence area. These low postpartum vitamin D concentrations were not associated with the socioeconomic factors studied and with the nutritional condition of pregnant women. Further studies are required to identify the risk factors for this high proportion of insufficiency and the possible adverse outcomes for pregnant women.
The data used to support the findings of this study are included within the article.
Conflicts of Interest
The authors of this study declare that there are no conflicts of interest. All authors agree with the copyright note.
Maria Eliana Pierre Martins participated in the construction of the research project and data collection, analysis, and discussion. Carmem Ulisses Peixoto Esmeraldo participated in data collection and analysis. Joao Paulo Duarte Sabia and Joao Hallisson Lemos Carvalho participated in the paper's construction. Fabiola Isabel Suano-Souza participated in the construction of the research project and data analysis and discussion. Roseli Oselka Saccardo Sarni participated in the construction of the research project and data analysis and discussion.
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Maria Eliana Pierre Martins, (1) Carmem Ulisses Peixoto Esmeraldo, (1) Joao Paulo Duarte Sabia, (2) Joao Hallisson Lemos Carvalho, (3) Fabiola Isabel Suano-Souza (iD), (4) and Roseli Oselka Saccardo Sarni (5)
(1) Associate Professor of Pediatrics at Universidade Federal do Cariri-UFCA, Brazil
(2) Master in Science of Faculdade de Medicina do ABC, Brazil
(3) Chemist at Universidade Potiguar, Brazil
(4) Associate Professor at Faculdade de Medicina do ABC and Universidade Federal de Sao Paulo, Brazil
(5) Full Professor at Faculdade de Medicina do ABC, Brazil
Correspondence should be addressed to Fabiola Isabel Suano-Souza; firstname.lastname@example.org
Received 20 March 2018; Accepted 1 August 2018; Published 2 September 2018
Academic Editor: Irene Hoesli
Table 1: Characterization of women included in the study (n = 225). Variable Unit General characteristics Mother's age Years 25.6 [+ or -] 6.6 Father's age Years 28.9 [+ or -] 7.9 Skin type White skin 47 Dark skin 178 Mother's employment Housewife 55 Urban 127 Rural 43 Mother's schooling < 4 full years 197 4 to 8 full years 13 > 8 years 15 Per capita income American dollars 44,00 [+ or -] 32,00 People living in Number 4.6 [+ or -] 2.2 the household Gestational conditions Number of pregnancies Number 2.1 [+ or -] 1.6 Primiparous Yes 108 Prenatal care visits Number 7.8 [+ or -] 2.1 Pregestational BMI < 18,5 kg/[m.sup.2] 19 18.5 to 25 kg/[m.sup.2] 128 25 to 30 kg/[m.sup.2] 49 > 30 kg/[m.sup.2] 28 Gestational Adequate 83 weight gain Low 70 High 71 Tobacco use Yes 9 Alcohol use Yes 11 Vitamin D supplement Yes 5 Folic acid Yes 198 Iron Yes 204 Regular sun protection Yes 44 Regular sun exposure Yes 144 Hours/day 1.9 [+ or -] 1.0 Complications Urinary infection 72 GSHD 20 GDM 2 Bleeding 17 Delivery type Vaginal 61 Surgical 164 Gestational age Weeks 39.1 [+ or -] 1.1 Laboratory tests Vitamin D 25(OH)D ng/mL 26.0 [+ or -] 6.8 < 20 ng/mL 43 20 a 30 ng/mL 124 > 30 ng/dL 58 Calcium mg/dL 8.4 [+ or -] 0.9 Phosphorus mg/dL 4.5 [+ or -] 0.8 Magnesium mg/dL 1.8 [+ or -] 0.5 Alkaline phosphatase U/L 152.0 [+ or -] 43.5 Variable Unit % General characteristics Mother's age Years Father's age Years Skin type White skin 20.9 Dark skin 79.1 Mother's employment Housewife 24.4% Urban 56.4% Rural 19.1% Mother's schooling < 4 full years 87.6% 4 to 8 full years 5.8% > 8 years 6.7% Per capita income American dollars People living in Number the household Gestational conditions Number of pregnancies Number Primiparous Yes 48.0% Prenatal care visits Number Pregestational BMI < 18,5 kg/[m.sup.2] 8.5% 18.5 to 25 kg/[m.sup.2] 57.1% 25 to 30 kg/[m.sup.2] 21.9% > 30 kg/[m.sup.2] 12.5% Gestational Adequate 36.9% weight gain Low 31.1% High 31.6% Tobacco use Yes 4.0% Alcohol use Yes 4.9% Vitamin D supplement Yes 2.2% Folic acid Yes 88.0% Iron Yes 90.7% Regular sun protection Yes 19.6% Regular sun exposure Yes 64.0% Hours/day Complications Urinary infection 32% GSHD 8.9% GDM 0.9% Bleeding 7.6% Delivery type Vaginal 27.1% Surgical 72.9% Gestational age Weeks Laboratory tests Vitamin D 25(OH)D ng/mL < 20 ng/mL 19.1% 20 a 30 ng/mL 55.1% > 30 ng/dL 25.8% Calcium mg/dL Phosphorus mg/dL Magnesium mg/dL Alkaline phosphatase U/L BMI: body mass index, GSHD: gestational-specific hypertensive disease, GDM: gestational diabetes mellitus. Table 2: Comparison of conditions during gestation with vitamin D concentrations in women evaluated. 25OHD3 < 30ng/mL Variable (n=167) Mother's age years 25.9 [+ or -] 6.5 Ethnicity Brown 132 (79.0%) Employment type Urban 46 (27.5%) Schooling < 4 years 146 (87.4%) Gestations Number 2.0 [+ or -] 1.6 Primiparous Yes 82 (49.1%) Pregestational BMI Obesity 22 (13.2%) Gestational weight gain High 54 (32.3%) Tobacco use Yes 6 (3.6%) Alcohol use Yes 10 (6.0%) Vitamin D supplement Yes 14 (8.4%) Folic acid Yes 147 (88.0%) Iron Yes 151 (90.4%) Sun exposure Yes 107 (64.1%) Sun protection Yes 33 (19.8%) Urinary infection Yes 52 (31.1%) GSHD Yes 15 (9.0%) GDM Yes 1 (0.6%) Gestational age Weeks 39.1 [+ or -] 1.1 25OHD3 [greater than or equal to] 30ng/mL Variable (n=58) p-value Mother's age 24.5 [+ or -] 6.6 0.165 (1) Ethnicity 46 (79.3%) 0.564 (2) Employment type 9 (15.5%) 0.180 Schooling 51 (87.9%) 0.315 Gestations 2.2 [+ or -] 1.8 0.362 Primiparous 26 (44.8%) 0.648 Pregestational BMI 6 (10.5%) 0.817 Gestational weight gain 17 (29.8%) 0.869 Tobacco use 3 (5.3%) 0.579 Alcohol use 1 (1.8%) 0.202 Vitamin D supplement 4 (7.0%) 0.498 Folic acid 51 (89.5%) 0.768 Iron 53 (93.0%) 0.558 Sun exposure 37 (64.9%) 0.521 Sun protection 11 (19.3%) 0.554 Urinary infection 20 (35.1%) 0.623 GSHD 5 (8.8%) 0.601 GDM 1 (1.8%) 0.445 Gestational age 39.2 [+ or -] 1.0 0.378 (1) (1) Student t's significance level. (2) Chi-square test significance level. BMI: body mass index, GSHD: gestational-specific hypertensive disease, GDM: gestational diabetes mellitus. Figure 1: Mean of 25(OH)D concentrations concerning the maternal nutritional status before and gestational weight gain. Sum of squares df F p-value * Between groups 394.7 39.4 0.859 0.573 Within groups 9,790.3 45.9 Total 10,185.0 * Level of significance of the ANOVA test for 12 groups.
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|Title Annotation:||Research Article|
|Author:||Martins, Maria Eliana Pierre; Esmeraldo, Carmem Ulisses Peixoto; Sabia, Joao Paulo Duarte; Carvalho,|
|Publication:||Journal of Pregnancy|
|Date:||Jan 1, 2018|
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