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Salud Pública de México

versión impresa ISSN 0036-3634

Salud pública Méx vol.63 no.3 Cuernavaca may./jul. 2021  Epub 20-Feb-2023

https://doi.org/10.21149/12156 

Artículos originales

Vitamin D status in Mexican children 1 to 11 years of age: an update from the Ensanut 2018-19

Estado de vitamina D en niños mexicanos de 1 a 11 años de edad: una actualización de la Ensanut 2018-19

Mario E Flores, MD, PhD(1) 

Marta Rivera-Pasquel, MSc(1) 

Andrys Valdez-Sánchez, MSc(1) 

Vanessa De la Cruz-Góngora, MSc, PhD(2) 

Alejandra Contreras-Manzano(1) 

Teresa Shamah-Levy, MSc, PhD(2) 

Salvador Villalpando, MD, PhD(1) 

(1) Centro de Investigación en Salud y Nutrición, Instituto Nacional de Salud Pública. Cuernavaca, Morelos, Mexico.

(2) Centro de Investigación en Evaluación y Encuestas, Instituto Nacional de Salud Pública. Cuernavaca, Morelos, Mexico.


Abstract

Objective:

To evaluate vitamin D status and deficiency in Mexican children and related factors, with updated data from a representative national survey.

Materials and methods:

Data and serum samples of child participants were collected in the Ensanut 2018-19. The measurement 25-(OH)-D was obtained through chemiluminescence. Height and weight, as well as dietary information, were measured using a semi-quan- titative food frequency questionnaire and sociodemographic information.

Results:

Data of 4 691 children aged 1-11 years were analyzed. Vitamin D deficiency (25-OH-D70% of vitamin D intake.

Conclusions:

Vitamin D deficiency is important in Mexican children. Actions and programs to fight this deficiency are required.

Keywords: vitamin D; nutritional deficiencies; children; national surveys; Mexico

Resumen

Objetivo:

Evaluar el estado y la deficiencia de vitamina D en niños mexicanos, así como los factores relacionados, con datos actualizados de una encuesta nacional representativa.

Material y métodos:

Los datos y muestras de suero de niños participantes se recolectaron en la Ensanut 2018-19. La medición de 25- (OH)- D se realizó mediante quimiolu- miniscencia. Se obtuvo estatura, peso e información dietética a través de un cuestionario semicuantitativo de frecuencia alimentaria e información sociodemográfica.

Resultados:

Se analizaron datos de 4 691 niños entre 1 y 11 años. Se observó deficiencia de vitamina D (25-OH-D 70% de la ingesta.

Conclusiones:

La deficiencia de vitamina D es considerable en los niños mexicanos. Se requieren acciones y programas para combatirla.

Palabras clave: vitamina D; desnutrición; niños; encuestas nacionales; México

Introduction

Vitamin D and its metabolites are a number of cholesterol-like compounds related to mineral metabolism. The best-known effect of vitamin D is to promote intestinal absorption of calcium, although it also stimulates absorption of phosphate and magnesium. These minerals also play important roles in the muscle; therefore vitamin D is essential for the maintenance and function of the musculoskeletal system, bone health, and child growth.1

Humans obtain vitamin D3 from exposure to sunlight, which provides more than 90% of the body´s vitamin D requirements.2 Ultraviolet rays trigger the synthesis of vitamin D through the skin, converting 7-dehydrocholesterol into vitamin D3, which then enters into the blood circulation.3 Vitamin D is sequentially metabolized in the liver and kidneys into 25-hydroxyvitamin-D (25-OH-D), and 1,25-dihydroxyvitamin D, respectively, the latter being its biologically active steroid hormone form, also known as calcitriol.3

The widespread distribution of the vitamin D receptor (VDR) and vitamin D metabolizing enzymes CYP24A1 and CYP27B1, as well as the impressive number of genes (almost 3% of human genome) subject to 1,25-dihydroxyvitamin D regulation, explain the pleiotropic actions of vitamin D in many organs and systems in the body. These actions range from bone formation, calcium and phosphorus homeostasis, regulation of cell proliferation, and insulin production, to the modulation of the immune system, among others.4

Globally, studies have demonstrated that vitamin D deficiency is a public health issue across all age groups, even in countries near the equator, where, in theory, enough sunlight is consistently available to prevent deficiency.5 An estimated one billion children and adults around the world are affected by vitamin D deficiency.6 In Mexico alone, this deficiency has been documented in 25.9% of pre-school-age children and 36.6% of school-age children.7

Furthermore, some studies have shown that vitamin D deficiency is associated with excess body weight and obesity,8 and that it is more frequent in children who spend greater amounts of time indoors, whether at home, school or a childcare center, as well as in cases in which dietary vitamin D intake is insufficient for their metabolic needs.3 In Mexico, the average vitamin D dietary consumption is 3.38 (SD 0.09) µg/d (135.2 [SD 3.6] IU/d) in pre-school-age children, and 2.85 (SD 0.06) µg/d (114.0 [SD 2.] IU/d) in school-age children; the daily intake recommended for the latter is 400 IU/d according to the Institute of Medicine (IOM).9 Milk contributes 64.4% of dietary vitamin D in pre-school-age children, and 54.7% in school-age children.7

The prevalence of vitamin D deficiency is a nutritional problem among Mexican children; therefore, the objective of the present study is to evaluate vitamin D status and deficiency, as well as related factors, in these children, with updated data obtained from a representative national survey.

Materials and methods

Study population

The information gathered from 1 209 pre-school-age children (1-4 years of age) and 3 482 school-age children (5-11 years of age) who participated in the National Health and Nutrition Survey 2018-19 in Mexico (Ensanut 2018-19, for its Spanish acronym) was analyzed. This subsample of pre-school- and school-age children is representative both on a national level and by geographical region and area. Trained personnel collected all the information using standardized methods. Detailed information regarding the sampling procedures and methodology has been described in previous publications.10

Procedures for blood sample collection and biochemical assessment

Blood samples were obtained from an antecubital vein directly to a vacuum tube and were centrifuged in situ to 3 000 g. Serum samples were stored in cryovials which were immediately frozen in liquid nitrogen (-130 °C) in Dewar tanks until their reception at the Laboratory of Biochemical Nutrition of the National Institute of Public Health (INSP, for its acronym in Spanish) in Cuernavaca, Morelos, Mexico, where they were stored in -75 °C freezers. Serum concentrations of 25-hydroxyvitamin D (25-OH-D) were measured with an Abbott Architect automated analyzer (Abbott Lab, Michigan, IL, USA) by chemiluminescent microparticle immunoassay (CMIA). The C-reactive protein (CRP) was measured with ultrasensitive monoclonal antibodies, using the same instrument. Quality control of measurements was performed using the Standard Reference Serum NIST 968E of the National Institute of Standards and Technology. The coefficients of variation (CV) of 25-OH-D intra- and intertrial were 1.34 and 3.69%, respectively. This method has previously been shown to perform adequately when compared to the LC/MS/MS (r=0.73).

Diagnostic criteria for determining vitamin D deficiency

The vitamin D status was determined based on the serum concentration of 25-OH-D, according to the classification specified in “The clinical practice guidelines of the Endocrine Society Task force on Vitamin D”.11,12 Deficiency was considered as a serum level below 50 nmol/L (<20 ng/mL); insufficiency, as serum levels between 50 and 75 nmol/L (20<30 ng/mL), and sufficient levels, as greater than or equal to 75 nmol/L (>30 ng/mL).

Anthropometry

Body weight and height/length was measured by trained and standardized personnel, in accordance with internationally accepted protocols.13,14 Afterwards, numerical values were converted to Z-scores according to the standards of the World Health Organization (WHO).15 The nutritional status was classified into the categories underweight (low weight-for-age), stunting (low lenght-for-age), and wasting (low weight-for height) as defined by a Z-score of <-2 standard deviations (SD), and excess body weight or obesity was defined by a Z-score of body mass index (BMI) of >+2 SD in pre-school-age children; for school-age children: excess body weight was defined as Z-score of >+1 SD, and obesity, as Z-score of >+2 SD.15

Dietary information

Dietary information was obtained through a semiquantitative food frequency questionnaire (FFQ) with a reference period of seven days prior to the interview, which included 140 previously validated food and drink items.16 Food items that contained vitamin D were classified into 15 groups: 1) Milk, 2) Eggs, 3) Other dairy products (cheese and yogurt), 4) Ready-to eat cereal, 5) Fast food and Mexican food, 6) Fish and seafood, 7) Powdered chocolate, 8) Processed meats, 9) Dairy-based desserts, 10) Pork, 11) Atole (corn-based drink) with milk, 12) Beef, 13) Chicken, 14) Animal fats, 15) Others (certain crackers, noodle soup, French fries, beans, etc.). The percentage of consumers of each food group was calculated. Consumption was defined as ingesting any food item in the food group of interest at least one day during the week, in any quantity. The total quantity of vitamin D consumed was estimated, and the percent age which each of the food groups contributed to total consumption was subsequently calculated.

Sociodemographic variables

Demographic and socioeconomic information was obtained through an ad hoc questionnaire. Data of the children’s sex and age was obtained, age being categorized by range (1-2, 3-4, 5-8 y 9-11 years), and sex, as male or female.

Region: The country of Mexico was divided in three geographical regions: 1) North, 2) Center-Mexico City and 3) South. Given the size of the Mexico City sample, the city was classified as part of the Central region.

Area: Localities with populations of 2 500 or more inhabitants were classified as urban areas, while rural areas were defined as having less than 2 500 inhabitants.

Household wellbeing index (HWI): An index was generated through principal component analysis, based on housing characteristics (floor, wall and ceiling materials, number of rooms, water availability and supply, etc.) and possession of domestic and electrical appliances (refrigerator, gas stove, washing machine, television, etc.). This index was categorized by tertile (low, medium, high), had been used in previous surveys.17

Information about the mother

Information was obtained from the mother of each child participant, including age (categorized by range: <20, ≥20-<40, ≥40 years) and BMI, classified according to the cut-off points of the WHO: low weight (<18.5), normal weight (18.5-24.9), overweight (25-29.9) and obese (≥30).18 Education level was categorized as: basic or absent when the mother had completed elementary to middle school; middle-high, when she had completed high school or studies in a technical/education institute, and superior, when she had completed university or post-graduate studies.

Statistical analysis

The descriptive characteristics of the sample were presented as proportions with a confidence interval of 95% (CI95%) for categorical variables, and as averages with CI95% for continuous variables. Logistical regression models were used to evaluate the association between vitamin D deficiency and sociodemographic characteristics of the child participants. The models were adjusted for the analyzed sociodemographic variables. All analyses accounted for the design of the survey, using the SVY module of STATA, edition 14.0. * In all analyses, statistically significant differences were defined by a p-value of <0.05.

Ethical considerations

The present study was conducted according to the Declaration of Helsinki. The Ethics, Research and Biosecurity Committees of the National Institute of Public Health of Mexico approved the study protocol. Written informed consent from the parents of all child participants and assent from all school-age participants were obtained. Copies of the consent and assent forms were provided to all participants.

Results

Information from 4 691 children (1 209 of pre-school age and 3 482 of school age), representing 22.3 million Mexican children, was analyzed.

Table I describes the characteristics of the studied sample. The distribution by sex was divided evenly between male and female (approximately 50% each). The mean age was 2.8 years for the pre-school-age group, and 8.2 years for the school-age group. According to nutritional status, based on anthropometric measures, 14.7% of pre-school-age children were stunted, and 5.4% were overweight. Among school-age children, 37.5% were overweight or obese. Over 70% of the children resided in an urban area, and more than 46%, within the Central-Mexico City region. Over 40% of the children had a low HWI, and around 60% of their mothers lacked formal education or had completed only up to elementary education; 71-78% of these mothers were overweight or obese.

Table I: Characteristics of Mexican children aged 1-11 y. Mexico, Ensanut 2018-19 

Preschoolers (n=1 209)

Schoolchildren (n=3 482)

Sample

Expansion factor (thousands)

%

CI95%

Sample

Expansion factor (thousands)

%

CI95%

Children’s characteristics

Sex

Male

576

3 382.9

47.8

(43.1-52.6)

1 741

7 754.7

50.9

(48.1-53.7)

Female

633

3 692.0

52.2

(47.4-56.9)

1 741

7 483.5

49.1

(46.3-51.9)

Mean age, y

-

-

2.8

(2.7-2.9)

-

-

8.2

(8.1-8.3)

1-2

496

2 794.1

39.5

(35.2-43.9)

-

-

-

-

3-4

713

4 280.8

60.5

(56.1-64.8)

-

-

-

-

5-8

-

-

-

-

2 039

8 260.3

54.2

(51.5-56.9)

9-11

-

-

-

-

1 443

6 977.8

45.8

(43.1-48.6)

Nutritional status*

Underweight

48

360.6

5.4

(3.1-9.0)

-

-

-

-

Wasting

16

87.2

1.3

(0.7-2.5)

-

-

-

-

Stunting

171

986.7

14.7

(11.4-18.7)

-

-

-

-

BMI (WHO)*

Normal

1 080

6 358.2

94.6

(92.3-96.2)

2 210

9 344.7

62.5

(59.4-65.5)

Overweight

70

366.0

5.4

(3.8-7.7)

685

2 935.4

19.6

(17.5-22.0)

Obesity

-

-

-

-

530

2 673.8

17.9

(15.6-20.4)

Home characteristics

Area

Urban

710

5 051.1

71.4

(68.5-74.1)

2 068

11 129.003

73.0

(70.7-75.3

Rural

499

2 023.7

28.6

(30.9-31.5)

1 414

4 109.155

27.0

(24.8-29.3)

Region

North

178

1 395.9

19.7

(17.2-22.5)

583

2 967.4

19.5

(17.8-21.3)

Central-Mexico City

430

3 319.2

46.9

(43.5-50.3)

1 241

7 284.5

47.8

(45.3-50.4)

South

601

2 359.8

33.4

(30.2-36.7)

1 658

4 986.2

32.7

(30.4-35.2)

Household well-being index

Low

630

3 015.9

42.63

(38.8-46.6)

1 671

6 220.1

40.8

(38.0-43.7)

Medium

381

2 513.7

35.56

(31.7-39.6)

1 139

5 035.2

33.0

(30.4-35.8)

High

198

1 545.2

21.84

(18.5-30.6)

672

3 982.9

26.1

(23.3-29.2)

Mother’s characteristics

Mean age, y*

-

-

28.8

(28.2-29.3)

-

-

34.3

(33.9-34.8)

<20

65

428.5

6.3

(4.2-9.3)

6

11.6

0.1

(0.03-0.2)

20-<40

1 009

5 956.7

87.2

(83.6-90.1)

2 526

10 888.0

76.7

(73.8-79.2)

≥40

86

447.8

6.6

(5.9-8.9)

712

3 305.4

23.3

(20.7-26.1)

Mean BMI*

Underweight

6

76.2

2.5

(0.8-7.9)

12

35.2

0.5

(0.3-1.0)

Normal

141

779.8

26.0

(20.9-31.8)

343

1 396.5

20.8

(17.6-24.4)

Overweight

183

989.9

33.0

(27.3-39.3)

599

2 562.3

38.2

(33.9-42.6)

Obesity

191

1 152.0

38.4

(32.0-45.3)

617

2 718.2

40.5

(35.8-45.3)

Schooling*

Elementary school or less

730

3 967.093

57.9

(53.4.62.2)

2 260

9 394.8

65.8

(62.3-68.8)

High school

335

2 247.779

32.8

(28.8-37.1)

749

3 472.1

24.3

(21.6-27.3)

University or more

100

637.161

9.3

(6.8-12.6)

301

1 420.0

9.9

(7.9-12.4)

* Subsample

BMI: body mass index ;WHO: World Health Organization

Source: National Health and Nutrition Survey 2018-19 in Mexico (Ensanut 2018-19)

The average concentration of 25-OH-D was 60.93 nmol/L (CI95% 58.85-63.0) in pre-school-age children, and 65.36 nmol/L (CI95% 64.26-66.46) in school-age children (data not shown).

Regarding the vitamin D status (table II), deficiency (25-OH-D<50 nmol/L) was observed in 27.3% of preschool-age children and 17.2% of school-age children. Sufficient levels (25-OH-D≥75 nmol/L or ≥30 ng/mL) were recorded in 26.8% of the pre-school-age children and in 25.0% of the school-age children.

Table II: Serum 25-hydroxyvitamin D status according to characteristics of Mexican children aged 1-11 y. Mexico, Ensanut 2018-19 

Vitamin D status (nmol/l)

Preschoolers

Schoolchildren

% Deficiency <50*

CI95%

% Insufficiency (50<75)

CI95%

% Sufficiency (>75)§

CI95%

% Deficiency <50*

CI95%

% Insufficiency (50<75)

CI95%

% Sufficiency (>75)§

CI95%

National

27.3

(23.4-31.6)

45.9

(41.3-50.6)

26.8

(23.0-31.2)

17.2

(15.0-19.6)

57.8

(54.9-60.6)

25.0

(22.6-27.6)

Children’s characteristics

Sex

Male

16.9‡,§

(12.4-22.6)

50.4*

(44.0-56.8)

32.7*,‡

(26.5-39.5)

15.1‡,§

(12.2-18.69)

57.2*

(52.9-61.4)

27.7*,‡

(23.9-31.7)

Female

36.8§

(30.8-43.3)

41.7§

(35.5-48.2)

21.5*,‡

(17.1-26.6)

19.3

(16.2-22.8)

58.4*

(54.7-62.0)

22.3

(19.6-25.3)

Age, y

1-2

24.4

(18.9-30.7)

49.1

(42.6-55.65)

26.5

(21.3-32.5)

-

-

-

-

-

-

3-4

29.2

(24.1-35.0)

43.7

(37.9-49.8)

27.0

(21.9-32.8)

-

-

-

-

-

-

5-8

-

-

-

-

-

-

13.9‡,§

(11.5-16.7)

55.0*

(51.6-58.3)

31.1*,‡

(28.2-34.2)

9-11

-

-

-

-

-

-

21.0

(17.6-25.0)

61.1*

(56.7-65.4)

17.8

(14.79-21.3)

Nutritional status#

Underweight

30.3

(11.7-59.0)

50.2

(25.1-75.2)

19.5

(8.7-37.9)

-

-

-

-

-

-

Wasting

35.2

(9.7-73.3)

28.3

(9.6-59.5)

36.6

(13.5-68.0)

-

-

-

-

-

-

Stunting

28.0

(17.2-42.1)

52.6

(39.5-65.3)

19.5

(13.1-28.0)

-

-

-

-

-

-

BMI (WHO)#

Normal

27.2

(23.0-31.8)

47.0

(42.1-52.0)

25.8

(21.8-30.3)

14.9*‡.§

(12.4-17.8)

56.9*

(53.1-60.5)

28.3*,‡

(24.9-31.9)

Overweight

31.5

(16.9-51.0)

43.4

(27.4-60.9)

25.1

(14.2-40.4)

18.2

(13.9-23.5)

62.1*

(55.9-67.9)

19.7

(15.4-24.9)

Obesity

-

-

-

-

-

-

24.7

(18.5-32.2)

57.2*

(49.7-64.4)

18.1

(13.5-23.8)

Home characteristics

Area

Urban

29.0

(24.1-34.5)

46.3

(40.9-51.8)

24.7

(20.0-30.1)

18.9

(16.0-22.1)

59.0*

(55.3-62.6)

22.2

(19.3-25.3)

Rural

23.1

(17.6-29.6)

44.8

(36.1-53.9)

32.1

(25.0-40.2)

12.6‡,§

(10.2-15.5)

54.5*

(50.7-58.3)

32.9*,‡

(28.6-37.5)

Region

North

22.4

(15.9-30.5)

48.4

(38.9-58.0)

29.3

(21.4-38.6)

24.2

(19.0-30.3)

55.5*

(49.5-61.4)

20.3

(16.1-25.2)

Central-Mexico City

30.1

(23.6-37.5)

47.3

(39.6-55.2)

22.6

(17.0-29.4)

16.3

(13.0-20.2)

62.5*

(58.3-66.5)

21.2

(18.4-24.4)

South

26.3

(20.7-32.8)

42.3

(36.2-48.7)

31.4

(24.8-38.8)

14.3‡,§

(11.2-18.0)

52.3*

(47.6-57.0)

33.4*,‡

(28.5-38.8)

Household well-being index

Low

26.2

(20.8-32.4)

44.4

(37.7-51.2)

29.5

(23.7-36.1)

13.5‡,§

(10.6-16.9)

56.7*

(52.6-60.7)

29.9*,‡

(26.3-33.8)

Medium

28.7

(22.3-36.0)

45.3

(37.8-52.9)

26.0

(20.3-32.8)

20.4

(16.4-25.2)

56.5*

(51.8-61.1)

23.1

(19.9-26.6)

High

27.3

(18.7-38.1)

49.8

(40.1-59.4)

22.9

(15.3-32.9)

18.9

(14.3-24.6)

61.2*

(53.8-68.0)

20.0

(14.2-27.3)

Mother’s characteristics

Age, y#

<20

35.7

(19.5-56.0)

37.4

(12.1-57.1)

27.0

(10.0-55.0)

9.1

(1.8-35.4)

57.8

(20.8-87.7)

33.1

(7.9-74.0)

20-<40

26.9

(22.7-31.5)

46.5

(41.4-51.6)

26.6

(22.4-31.3)

15.1

(12.8-17.8)

58.1

(54.7-61.3)

26.8

(23.7-30.0)

≥40

28.4

(16.8-43.7)

46.2

(31.8-61.22)

25.4

(14.5-40.6)

24.1

(18.9-30.22)

57.7

(51.5-63.6)

18.2

(14.9-22.1)

BMI*

Underweight

57.8

(13.5-92.3)

32.4

(5.4-80.19)

9.8

(1.5-43.4)

3.0

(0.4-18.0)

83.0

(55.1-95.1)

14.0

(3.2-44.2)

Normal

22.3

(13.8-33.9)

48.7

(36.5-60.9)

29.1

(20.0-40.2)

15.6

(10.2-23.1)

59.8

(51.1-67.9)

24.6

(18.4-32.2)

Overweight

29.0

(20.0-40.1)

48.4

(38.6-58.3)

22.6

(15.6-31.6)

15.9

(11.9-21.0)

61.5

55.4-67.2)

22.7

(18.5-27.4)

Obesity

26.0

(17.0-37.6)

45.5

(33.3-58.1)

28.6

(19.8-39.3)

17.4

(13.0-23.0)

55.3

(47.1-63.2)

27.3

(20.9-29.5)

Schooling#

Elementary school or less

27.6

(22.5-33.3)

46.5

(40.5-52.5)

25.9

(21.3-31.2)

17.0

(14.4-20.0)

57.5

(54.2-60.8)

25.5

(22.8-28.3)

High school

30.1

(22.9-38.4)

46.3

(38.0-54.8)

23.6

(17.8-30.6)

17.8

(13.8-22.7)

56.1

(49.3-62.7)

26.1

(19.8-33.6)

University or more

19.5

(11.4-31.3)

40.2

(26.5-55.7)

40.3

(25.8-56.8)

17.4

(10.0-28.5)

66.1

(54.1-76.2)

16.6

(10.5-25.3)

*,‡Statistically significant differences between categories p<0.05

#Subsample

BMI: body mass index

Differences were made using Chi-square test

National Health and Nutrition Survey 2018-19 in Mexico (Ensanut 2018-19)

Vitamin D deficiency affected female children to a greater extent (36.8%), and reached 29.2% among the children aged 3-4 years. A positive trend was observed between vitamin D deficiency and high BMI in school-age children: 14.9, 18.2 and 24.7% in children with normal body weight, excess body weight and obesity, respectively.

Vitamin D deficiency was more prevalent in children residing in urban areas, whether of pre-school- or school-age. Prevalence was highest in pre-school age children in the Central-Mexico City region. Among school-age children, the highest prevalence was observed in the North.

In relation to the HWI, both age groups displayed greater levels of vitamin D deficiency at the medium level. Prevalence of this deficiency was highest in preschool-age children whose mothers had a low BMI, as well as among school-age children whose mothers were overweight or obese.

As for dietary sources of vitamin D (table III), these were mainly milk, eggs and other dairy products, which, combined, provided 78.3% of the vitamin D consumption in pre-school-age children, and 71.1% in school-age children.

Table III: Dietary sources and percent contribution to vitamin D intake in Mexican children aged 1–11 y. Mexico, Ensanut 2018-19 

Preschoolers (n=1 037)

Schoolchildren (n=3 172)

Frequency of consumption

Contribution to total intake of VD (%)

Frequency of consumption

Contribution to total intake of VD (%)

%

(CI95%)

Mean

(CI95%)

%

(CI95%)

Mean

(CI95%)

Food

Milk

88.14

(84.9-90.7)

49.7

(47.1-52.3)

86.1

(83.9-88.0)

38.5

(37.1-40.0)

Eggs

83.46

(79.5-86.8)

16.3

(14.5-18.0)

83.31

(80.9-85.5)

19.9

(18.8-21.0)

Other dairy products

45.1

(40.2-50.0)

12.3

(10.9-17.8)

75.6

(72.9-78.1)

12.7

(11.9-13.6)

Ready to eat cereals

50.3

(45.4-55.1)

4.8

(3.9-5.7)

47.2

(44.1-50.4)

5.6

(5.1-6.2)

Fast food and Mexican food

77.5

(73.77-80.76)

2.5

(2.0-3.0)

85.93

(83.8-87.8)

5.6

(0.2-5.1)

Fish and seafood

31.0

(26.6-35.7)

3.3

(2.5-4.1)

30.6

(27.8-33.6)

4.3

(3.7-4.8)

Chocolate

24.5

(20.5-29.0)

4.3

(3.3-5.2)

25.9

(23.6-28.5)

4.2

(3.7-4.8)

Processed meats

58.8

53.9-63.5)

1.4

(1.0-1.8)

56.98

(53.7-60.2)

2.1

(1.7-2.4)

Milk-based desserts

45.1

(40.2-50.0)

1.3

(1.1-1.5)

38.1

(35.1-41.2)

1.0

(0.9-1.2)

Pork meat

31.1

(26.7-35.8)

0.3

(0.3-0.4)

38.9

(35.8-42.0)

0.9

(0.8-1.1)

Atole with milk

7.4

(5.4-10.1)

0.7

(0.4-1.0)

7.5

(6.0-9.3)

0.9

(0.7-1.1)

Beef

38.33

(33.9-43.0)

0.6

(0.4-0.8)

42.4

(39.3-45.5)

0.8

(0.7-0.9)

Chicken

76.4

(72.5-79.8)

0.5

(0.4-0.6)

73.9

(71.1-76.5)

0.7

(0.6-0.7)

Fat (animal origen)

3.1

(1.2-4.9)

0.1

(0.01-0.1)

4.9

(3.2-7.3)

0.1

(0.1-0.1)

Other

99.2

(98.1-99.7)

1.8

(1.4-2.3)

98.4

(97.0-99.2)

2.6

(2.3-2.9)

VD: Vitamin D

National Health and Nutrition Survey 2018-19 in Mexico (Ensanut 2018-19)

The average intake of vitamin D was 168.5 IU/d in pre-school-age children and 123.8 IU/d in school-age children, both far below the international recommendation of 400 IU/d (table IV). Among school-age children, vitamin D consumption was higher in residents of urban areas, those with a higher HWI, and those residing in the Northern region. School-age children with mothers who had a higher HWI exhibited higher intakes of vitamin D.

Table IV: Vitamin D intake acc ording to characteristics of Mexican children aged 1–11 y. Mexico, Ensanut 2018-19 

Preschoolers

Schoolchildren

Vitamin D intake

Vitamin D intake

Sample

Mean IU/d

CI95%

Sample

Mean IU/d

CI95%

National

1 037

168.5

(154.7-182.3)

3 172

123.8

(118.7-129.0)

Children’s characteristics

Sex

Male

498

167.9

(149.5-186.2)

1 582

127.9

(121.4-134.4)

Female

539

169.1

(148.4-189.7)

1 590

119.5

(111.6-137.4)

Age, y

1-2

443

180.2

(158.8-201.5)

-

-

-

3-4

594

160.4

(142.7-178.1)

-

-

-

5-8

-

-

-

1 877

124.4

(117.3-131.5)

9-11

-

-

-

1 295

123.1

(115.8-130.5)

Nutritional status*

Underweight

41

155.7

(40.8-270.6)

-

-

-

Wasting

14

122.5

(46.0-199.1)

-

-

-

Stunting

143

143.8

(158.9-186.3)

-

-

-

BMI (WHO)*

Normal

946

168.2

(153.7-182.8)

2 021

120.9

(115.2-126.6)

Overweight

61

177.1

(130.2-224.0)

628

128.3

(112.4-144.3)

Obesity

-

-

-

481

131.0

(119.0-142.9)

Home characteristics

Area

Urban

613

175.6

(159.6-191.5)

1 877

131.9§

(125.4-138.5)

Rural§

424

151.1

(124.3-177.9)

1 295

102.0

(95.5-108.5)

Region

North

157

173.2

(151.9-194.4)

518

136.6#

(125.9-147.2)

Central-Mexico City§

380

169.3

(147.6-191.1)

1 135

129.4#

(120.9-137.9)

South#

500

164.2

(139.3-189.2)

1 519

108.6‡,§

(101.1-116.1)

Household wellbeing index

Low

539

160.3

(134.6-186.0)

1 504

100.9§

(94.4-107.3)

Medium§

323

177.3

(158.1-196.4)

1 048

129.9‡,#

(122.4-137.3)

High#

175

170.1

(147.2-193.1)

620

151.3‡,§

(138.1-164.4)

Mother’s characteristics

Age, y*

<20

59

165.6

(113.4-217.8)

6

135.1

(30.2-240.0)

20-<40§

866

162.1#

(148.4-175.9)

2 308

124.5

(118.2-130.7)

>40#

72

217.8§

(172.2-263.3)

647

122.8

(112.6-133.1)

BMI*

Underweight

6

137.4

(76.8-197.9)

12

96.0

(52.2-139.9)

Normal

124

168.8

(142.6-194.9)

308

120.6

(105.8-135.4)

Overweight

156

179.8

(138.1-221.4)

542

118.9

(109.2-128.6)

Obesity

167

189.6

(143.8-235.4)

563

121.5

(110.7-132.4)

Schooling*

Elementary school or less

626

155.3

(139.2-171.4)

2 051

113.94§,#

(108.6-119.3)

High school§

285

177.8

(151.6-204.1)

691

139.7

(125.9-153.6)

University or more#

90

191.5

(159.0-223.9)

232

151.3

(129.7-172.9)

* Subsample

,§,#Statistically significant differences between categoriesp<0.05

BMI: body mass index; WHO: Wold Health Organization

Mean differences were made by simple linear regression

National Health and Nutrition Survey 2018-19 in Mexico (Ensanut 2018-2019)

The logistic regression model, adjusted for potential confounding factors (table V), showed that, in pre-school-age children, being female was associated with a greater risk of having vitamin D deficiency (OR=2.7, CI95% 1.6-4.4), while, among school-age children, the factors associated with the same risk for deficiency (25-OH-D <50nmol/L) were the age range of 9-11 years (OR=1.4, CI95% 1.0-1.9) and obesity (OR=1.7, CI95% 1.1-2.7).

Table V: Risk of vitamin D deficiency* in Mexican children aged 1-11 y. Mexico, Ensanut 2018-19 

Preschoolers (n= 965)

Schoolchildren (n= 3 118)

Expansion factor (thousands)

5 564.9

Expansion factor (thousands)

13 442.4

OR

CI95%

p

OR

CI95%

p

Vitamin D Deficiency

Sex

Male

ref

-

<0.001

ref

-

0.150

Female

2.7

(1.6-4.4)

1.3

(0.9-1.8)

Age, y

1-2

ref

-

0.323

-

-

-

3-4

1.3

(0.8-2.1)

-

-

-

5-8

-

-

-

ref

-

0.038

9-11

-

-

-

1.4

(1.0-1.9)

Nutritional status

Underweight

1.3

(0.3-5.6)

0.725

-

-

-

Wasting

2.3

(0.4-12.5)

0.320

-

-

-

Stunting

0.7

(0.3-1.6)

0.391

-

-

-

BMI

Normal

ref

-

ref

-

Overweight

0.8

(0.3-2.2)

0.661

1.4

(0.8-2.1)

0.148

Obesity

-

-

-

1.7

(1.1-2.7)

0.018

C-Reactive Protein, mg/L

<5

ref

-

0.93

ref

-

0.51

≥5

1.0

(0.5-2.1)

1.3

(0.6-2.8)

Vitamin D intake, μg/d

0.9

(0.8-1.0)

0.065

1.1

(1.0-1.2)

0.299

Area

Urban

ref

-

0.168

ref

-

0.351

Rural

0.7

(0.4-1.2)

0.8

(0.6-1.2)

Region

Central-Mexico City

ref

-

ref

-

North

0.5

(0.3-1.1)

0.119

1.5

(1.0-2.30)

0.071

South

0.9

(0.5-1.5)

0.587

0.9

(0.6-1.4)

0.770

Household wellbeing index

Low

ref

-

ref

-

Medium

1.3

(0.8-2.2)

0.344

1.3

(0.8-2.0)

0.263

High

0.9

(0.4-1.7)

0.703

1.1

(0.7-1.9)

0.661

* Vitamin D deficiency: serum 25-hydroxyvitamin D <50 nmol/l (<20 ng/ml)

The logistic regression model is adjusted for all the variables in the table

BMI: body mass index; ref: reference category

National Health and Nutrition Survey 2018-19 in Mexico (Ensanut 2018-19)

The results were not modified by adding information to the model regarding the consumption of supplements, which was noted to be of 6.13% in pre-school-age children (CI95% 4.3-8.6) and 0.44% (CI95% 0.2-0.8) in school-age children (data not shown).

Discussion

In this analysis of recent (2018) data of a nationally representative sample of pre-school-age and school-age Mexican children, it was observed that vitamin D deficiency affects 27% of children aged 1-4 years and 17% of children aged 5-11 years, which evidences a critical nutritional problem in the country.

Vitamin D deficiency was positively associated with being female, the age group of 9 to 11 years, and with the presence of obesity, in school-age children. Furthermore, it was higher in children residing in urban areas than in those within rural areas, as well as in those with a medium HWI.

The main dietary sources of vitamin D were milk, eggs and other dairy products, which together contribute 70-79% of daily vitamin D intake for all child participants. Average vitamin D consumption was less than 170 IU/d in both age groups, with more than 90% of the children failing to meet the international dietary recommendation of 400 IU/d.9

Vitamin D deficiency has previously been documented in this population through data from Ensanut 2012,7 as has been the association of this deficiency with BMI and urban residency. Serum concentrations in pre-school-age children in the present study are very similar to those described in the 2012 study mentioned; nonetheless, the present study shows slightly higher values in school-age children. Vitamin D consumption reported in the present study is 8-20% higher than that described in 2012, which could partially explain the increase observed in serum concentrations and the lower prevalence of deficiency in children. Other related factors may include the consumption of vitamin D supplements, which in the 2012 study was less than 3% and in the present study was 6% in pre-school-age children, although in school-age children the percent-age of children whose mothers reported consumption of supplements was less than 0.5%.

The findings of the present study partially reflect those reported in other countries. A meta-analysis of 72 studies on vitamin D in Brazil19 reported serum levels of 25-OH-D of 67.65 nmol/L (CI95% 65.91-69.38) in the general population; the prevalence of vitamin D deficiency was 28.16% (CI95% 23.90-32.40); in children, the mean serum concentration of 25-OH-D was 66.68 nmol/L (CI95% 35.51-97.86), and the prevalence of vitamin D deficiency was 22.95% (CI95% 10.00-35.89). These data are similar to those evidenced in the resent study, which is notable, given important differences in latitude, feeding habits, ethnicity and more, between the two studied populations.

In the National Health and Nutrition Examination Survey (NHANES) 2007-2010 study, which reports national estimates of vitamin D status in the general population of the United States of America,20 vitamin D deficiency in children aged 1-11 years was 9.7% (CI95% 7.8-12.0). Specifically in Hispanic children, this prevalence rose to 13% (CI95% 10.0-16.0). Furthermore, serum levels of 25-OH-D were on average 76.5 nmol/L in children aged 1-5 years, and 72.2 nmol/L in children aged 6-11 years, all of whom exhibited higher concentrations of serum 25-OH-D than those reported in the present study, as well as significantly fewer measures below 50 nmol/L. Nonetheless, among the NHANES population, nearly 30% of individuals had a higher intake of vitamin D due to supplementation, which may explain the differences observed. In those who did not consume supplements, serum 25-OH-D average levels were 62.5 nmol/L (CI95% 60.4-64.5), which are more similar to those found in the present study.

As in Mexico, multiple countries in Europe report low vitamin D intake on a population level, usually below 200 IU/d; this is observed as well in Eastern Europe. On the other hand, Nordic countries report higher levels of intake of this vitamin.21 In Europe, vitamin D deficiency (25-OH-D <50 nmol/L) has been shown to affect 27-61.4% of the population. In Germany, 54.5% of the children aged 1-17 years were shown to have this deficiency, and mean serum 25-OH-D levels were 54 nmol/L, while in Greece, the problem of vitamin D deficiency is more pronounced than in the area covered by the present study, and serum vitamin D levels are even lower.

Among the potential causes of the persistence of vitamin D deficiency in children as observed in two national-level surveys in Mexico (2012 and 2018), inadequate intake of vitamin D has been suggested, mainly due to the fact that the main food sources providing vitamin D are animal-based, and, although milk is a widely consumed food product among young children, its fortification with 200 IU/L is considered to be insufficient. Furthermore, consumption of vitamin D supplements is low, and Mexico does not have supplementation programs targeted towards vulnerable groups. Together, these factors, as well as indoor lifestyles, environmental contamination and excess body weight, may be contributing to vitamin D deficiency. In addition, genetic variations (SNPs) related to vitamin D metabolism have been documented to be widely present in the Mexican population and may be associated with up to 50% of the deficiencies.22

Two of the strengths of the present study are the inclusion of a representative sample of pre-school-age and school-age Mexican children, and the use of standardized methods and personnel to perform data collection. Furthermore, the laboratory method used for 25-OH-D measurements (CMIA) has been shown to have a high rate of reactivity towards 25-hydroxyvitamin-D3 (approximately 100%) and an adequate performance when compared to the gold standard (tandem mass spectrometry).7

The limitations of this study relate to inherent characteristics of the use of the FFQ method, which may underestimate nutrient intake, as well as the potential over- or under-reporting by the informant associated with age, sex and nutritional state of the child participant and which introduces potential biases in the estimation of the intake. Nonetheless, our findings are consistent with previous studies, not only in Mexico but in other populations as well.

Recently, a modification to the Official Mexican Standard (NOM, for its acronym in spanish) 051 was approved by the Senate of the Republic,23 made official in October of 2020, in which the daily intake recommendation of vitamin D was increased from 200 IU/d to 400 IU/d (10 μg/d). This constitutes an important advancement in building legislation that supports improved vitamin D intake in Mexico.

In conclusion, vitamin D deficiency continues to be a population nutrition problem in Mexican children, being most important in pre-school-age children, female children and school-age children with a high BMI. The fight against vitamin D deficiency in vulnerable groups requires concrete actions and supplementation programs, as well as efforts towards improving the fortification of widely consumed food products (for example, increasing the fortification of milk, while also including other potential vehicles such as eggs).24

References

Bouillon R, Marcocci C, Carmeliet G, Bikle D, White JH, Dawson Hughes B, et al. Skeletal and extraskeletal actions of vitamin D: current evidence and outstanding questions. Endocr Rev. 2019;40(4):1109-51. https://doi.org/10.1210/er.2018-00126 [ Links ]

Biancuzzo RM, Clarke N, Reitz RE, Travison TG, Holick MF. Serum concentrations of 1,25-dihydroxyvitamin D2 and 1,25-dihydroxyvitamin D3 in response to vitamin D2 and vitamin D3 supplementation. J Clin Endocrinol Metab. 2013;98(3):973-9. https://doi.org/10.1210/ jc.2012-2114 [ Links ]

Shin YH, Shin HJ, Lee Y-J. Vitamin D status and childhood health. Korean J Pediatr. 2013;56(10):417-23. https://doi.org/10.3345/kjp.2013.56.10.417 [ Links ]

Holick MF. Vitamin D deficiency. N Engl J Med. 2007;357(3):266-81. https://doi.org/10.1056/NEJMra070553 [ Links ]

Van Schoor NM, Lips P. Worldwide vitamin D status. Best Pract Res Clin Endocrinol Metab. 2011;25(4):671-80. https://doi.org/10.1016/j. beem.2011.06.007 [ Links ]

Huh SY, Gordon CM. Vitamin D deficiency in children and adolescents: Epidemiology, impact and treatment. Rev Endocr Metab Disord. 2008;9(2):161-70. https://doi.org/10.1007/s11154-007-9072-y [ Links ]

Flores A, Flores M, Macias N, Hernández-Barrera L, Rivera M, Contreras A, Villalpando S. Vitamin D deficiency is common and is associated with overweight in Mexican children aged 1-11 years. Public Health Nutr. 2017;20(10):1807-15. https://doi.org/10.1017/S1368980017000040 [ Links ]

Au LE, Rogers GT, Harris SS, Dwyer JT, Jacques PF, Sacheck JM. Associations of vitamin d intake with 25-hydroxyvitamin d in overweight and racially/ethnically diverse US children. J Acad Nutr Diet. 2013;113(11):1511-6. https://doi.org/10.1016/j.jand.2013.05.025 [ Links ]

Institute of Medicine, Committee to Review Dietary Reference Intakes for Vitamin D and Calcium. Dietary reference intakes for calcium and vitamin D. Washington DC: The National Academies Press, 2011 [cited september 15, 2020]. Available from: Available from: https://www.ncbi.nlm.nih.gov/books/ NBK56070/Links ]

Romero-Martínez M, Shamah-Levy T, Vielma-Orozco E, Heredia Hernández O, Mojica-Cuevas J, Cuevas-Nasu L, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición (Ensanut 2018): metodología y perspectivas. Salud Publica Mex. 2019;61(6):917-23. https://doi. org/10.21149/11095 [ Links ]

Holick MF, Binkley NC, Bischoff-Ferrari HA, Gordon CM, Hanley DA, Heaney RP, et al. Evaluation, treatment, and prevention of vitamin D deficiency: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2011;96(7):1911-30. https://doi.org/10.1210/jc.2011-0385 [ Links ]

Amrein K, Scherkl M, Hoffmann M, Neuwersch-Sommeregger S, Köstenberger M, Tmava Berisha A, et al. Vitamin D deficiency 2.0: an update on the current status worldwide. Eur J Clin Nutr. 2020;74(11):1498- 513. https://doi.org/10.1038/s41430-020-0558-y [ Links ]

Lohman TG, Roche AF, Martorell R. Anthropometric standarization reference manual. Champlaign: Human Kinetics, 1988. [ Links ]

Habicht J. Standardization of anthropometric methods in the field. PAHO Bull. 1974; 76:375-84. [ Links ]

Members of the WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards. Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age. Methods and development. Ginebra: WHO, 2007 [cited september 10, 2020]. Available from: Available from: https://www.who.int/publications/i/item/924154693XLinks ]

Denova-Gutiérrez E, Ramírez-Silva I, Rodríguez-Ramírez S, Jiménez Aguilar A, Shamah-Levy T, Rivera-Dommarco JA. Validity of a food frequency questionnaire to assess food intake in Mexican adolescent and adult population. Salud Publica Mex. 2016;58(6):617-28. https://doi.org/10.21149/spm.v58i6.7862 [ Links ]

Resano-Pérez E, Méndez-Ramírez I, Shamah-Levy T, Rivera JA, Sepúlveda-Amor J. Methods of the National Nutrition Survey 1999. Salud Publica Mex. 2003;45(suppl 4): S558-64. https://doi.org/10.1590/s0036- 36342003001000012 [ Links ]

Gibson RS. Anthropometric assessment of body size. In: Gibson RS. Principles of nutritional assessment. 2nd ed. New York: Oxford University Press, 2005:245-53. [ Links ]

Pereira-Santos M, Gomes-dos Santos JY, Carvalho GQ, dos Santos DB, Oliveira AM. Epidemiology of vitamin D insufficiency and deficiency in a population in a sunny country: Geospatial meta-analysis in Brazil. Crit Rev Food Sci Nutr. 2019;59(13):2102-9. https://doi.org/10.1080/10408398.20 18.1437711 [ Links ]

Schleicher RL, Sternberg MR, Looker AC, Yetley EA, Lacher DA, Sempos CT, et al. National estimates of serum total 25-hydroxyvitamin D and metabolite concentrations measured by liquid chromatography-tandem mass spectrometry in the US population during 2007-2010. J Nutr. 2016;146(5):1051-61. https://doi.org/10.3945/jn.115.227728 [ Links ]

Lips P, Cashman KD, Lamberg-Allardt C, Bischoff-Ferrari HA, Obermayer-Pietsch B, Bianchi ML, et al. Current vitamin D status in European and Middle East countries and strategies to prevent vitamin D deficiency: A position statement of the European Calcified Tissue Society. Eur J Endocrinol. 2019;180(4):23-54. https://doi.org/10.1530/EJE-18-0736 [ Links ]

Rivera-Paredez B, Macías N, Martínez-Aguilar MM, Hidalgo-Bravo A, Flores M, Quezada-Sánchez AD, et al. Association between Vitamin D Deficiency and Single Nucleotide Polymorphisms in the vitamin D receptor and GC genes and analysis of their distribution in mexican postmenopausal women. Nutrients. 2018;10(9):1175. https://doi.org/10.3390/ nu10091175 [ Links ]

Secretaría de Economía. PROYECTO de Modificación a la Norma Oficial Mexicana NOM-051-SCFI/SSA1-2010, Especificaciones generales de etiquetado para alimentos y bebidas no alcohólicas preenvasados Información comercial y sanitaria, publicada el 5 de abril de 2010. Mexico: DOF, 2010 [cited september 15, 2020]. Available from: Available from: https://www.dof.gob.mx/nota_detalle.php?codigo=5575205&fecha=11/10/2019Links ]

Hayes A, Duffy S, O’Grady M, Jakobsen J, Galvin K, Teahan-Dillon J, et al. Vitamin D-enhanced eggs are protective of wintertime serum 25-hydroxyvitamin D in a randomized controlled trial of adults. Am J Clin Nutr. 2016;104(3):629-37. https://doi.org/10.3945/ajcn.116.132530 [ Links ]

Received: October 05, 2020; Accepted: February 09, 2021; Published: May 03, 2021

Corresponding author: Dr. Mario E. Flores. Departamento de Vigilancia de la Nutrición, Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública. Av. Universidad 655, col. Santa María Ahuacatitlán. 62100 Cuernavaca, Morelos, Mexico. email: mario.flores@insp.mx

Declaration of conflict of interests. The authors declare that they have no conflict of interests.

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