| Literature DB >> 29850234 |
Amina Bouziani1, Naima Saeid1, Hasnae Benkirane1, Latifa Qandoussi1, Youness Taboz1, Asmaa El Hamdouchi1, Khalid El Kari1, Mohammed El Mzibri1, Hassan Aguenaou1.
Abstract
Calcium is an important mineral playing a vital role to maintain bone health. Calcium intake is considered as one of the most important determinants to assess the calcium status and to evaluate the calcium deficiency in the human body. Our study aims at estimating calcium intake in a sample of children and adolescent to be used in the global strategy to reduce calcium deficiency disorders in Morocco. Thus, 131 children and adolescents were recruited from public schools at Rabat and its regions in the framework of a descriptive cross-sectional study. For each participant, anthropometric parameters were measured. Calcium status was assessed by 24 h dietary recall. Food frequency questionnaire was used to evaluate children's nutritional habits and to assess the consumption of calcium-rich food. Overall, the mean calcium intake was 522.0 ± 297.0 mg/day, and 85.5% of subjects highlighted calcium deficiency, with no significant difference between boys and girls. Calcium intake was significantly different according to age groups, and high consumption of calcium was found in subjects aged from 14 to 18 years (776.86 ±290.07 mg/day), giving evidence of the low calcium status of the studied population. Daily food intake and food frequency analysis showed that bread, vegetables, and fruits are the most consumed food and the main source of daily calcium intake. Consumption of dairy products, considered as the best source of calcium, is lower and represents only 14% of total calcium intake. Our study clearly showed that calcium status is very lower in Moroccan children and adolescents and a large proportion of this population have inadequate calcium intake. Hence, there's an urgent need of specific strategies, including children sensitisation and nutritional education, to increase calcium intake and therefore reduce calcium deficiency disorders impacting the whole body during childhood and in adult age.Entities:
Year: 2018 PMID: 29850234 PMCID: PMC5911322 DOI: 10.1155/2018/8084623
Source DB: PubMed Journal: J Nutr Metab ISSN: 2090-0724
Anthropometric results of the participants by sex.
| Girls ( | Boys ( | Total ( |
| |
|---|---|---|---|---|
| Age (years) | 10.49 ± 2.63 | 9.82 ± 2.41 | 10.1 ± 2.54 | 0.1 |
| Weight (Kg) | 34.10 ± 12.43 | 32.73 ± 11.33 | 33.39 ± 11.84 | 0.4 |
| Weight | 0.0062 ± 1.35197 | 0.0418 ± 1.71340 | 0.02 ± 1.55 | 0.3 |
| Height (cm) | 138.56 ± 13.84 | 137.01 ± 14.42 | 137.76 ± 14.11 | 0.53 |
| Height | −0.21 ± 1.26 | −0.01 ± 1.33 | −0.11 ± 1.23 | 0.75 |
| BMI | 17.3 ± 3.47 | 17.05 ± 3.79 | 17.17 ± 3.63 | 0.7 |
| BMI-for-age | −0.15 ± 1.38 | −0.10 ± 1.83 | −0.13 ± 1.63 | 0.8 |
p values were calculated by one-way ANOVA for means. Results are presented as mean ± standard deviation. BMI (body mass index) and BAZ (BMI z-score of body mass index for age) were determined according to [10].
Distribution of calcium intake according to sex, age groups, and nutritional status.
| Variables |
| Mean of calcium intake ± SD (mg/day) |
|
|---|---|---|---|
| Sex | |||
| Boys | 68 (51.9) | 521.13 ± 247.28 |
|
| Girls | 63 (48.1) | 521.92 ± 347.43 | |
| Age groups | |||
| 6 to 8 | 45 (34.6) | 514.67 ± 247.77 |
|
| 9 to 13 | 71 (54.6) | 475.49 ± 307.06 | |
| 14 to 18 | 14 (10.8) | 776.86 ± 290.07 | |
| BAZ | |||
| Thinness | 11 (8.5) | 705.55 ± 618.05 |
|
| Normal | 93 (70.8) | 496.85 ± 249.82 | |
| Overweight | 18 (13.8) | 541.50 ± 258.63 | |
| Obesity | 9 (6.9) | 508.67 ± 219.81 | |
| Total | 131 (100) | 521.51 ± 298.06 |
p values by One-way ANOVA for means.
Calcium under recommended adequate intake.
| Variables |
| Children with inadequate calcium intake∗ (%) |
|
|---|---|---|---|
| Sex | |||
| Boys | 68 | 56 (82.35) | 0.292 |
| Girls | 63 | 56 (88.89) | |
| Age groups | |||
| 6 to 8 | 45 | 35 (77.8) | 0.181 |
| 9 to 13 | 71 | 64 (90.1) | |
| 14 to 18 | 15 | 13 (86.7) | |
| BMZ | |||
| Thinness | 11 | 10 (90.90) | 10–3 |
| Normal | 93 | 78 (83.87) | |
| Overweight | 18 | 15 (83.33) | |
| Obesity | 9 | 9 (100) | |
| Total | 131 | 112 (85.50) |
p values are calculated by test chi-square of Pearson. ∗Results reported as IOM recommendations for adequate intake [12].
Dietary intake according to sex.
| Total | Boys | Girls |
| |
|---|---|---|---|---|
| Nutritional intake | ||||
| Total energy intake (kcal/day) | 1887.19 ± 929.01 | 1948.9 ± 1018.27 | 1818.52 ± 821.18 | 0.425 |
| Protein (g/day) | 63.1 ± 29.10 | 72.82 ± 30.37 | 63.90 ± 29.10 | 0.093 |
| Fat (g/day) | 64.31 ± 44.87 | 66.75 ± 53.11 | 61.61 ± 33.69 | 0.515 |
| Sugars (g/day) | 249.97 ± 116.97 | 260.61 ± 124.72 | 238.12 ± 107.46 | 0.273 |
| Dietary fiber (g/day) | 24.37 ± 12.50 | 25.40 ± 10.59 | 23.2294 ± 14.34057 | 0.322 |
| Total water (g/day) | 3061.45 ± 658.15 | 3089.60 ± 677.86 | 3030.11 ± 639.54 | 0.607 |
| Total food (g/day) | 1749.29 ± 595.33 | 1827.0 ± 639.63 | 1662.68 ± 533.65 | 0.115 |
| Dietary intake (g/day) | ||||
| Bread and derivatives | 365.05 ± 231.53 | 390.61 ± 263.53 | 336.61 ± 187.79 | 0.184 |
| Meat and eggs | 106.06 ± 88.42 | 114.03 ± 104.58 | 97.19 ± 65.73 | 0.278 |
| Vegetables and fruits | 345.63 ± 226.08 | 344.48 ± 166.10 | 346.9 ± 279.6 | 0.951 |
| Fish | 31.52 ± 49.85 | 35.62 ± 44.98 | 26.952 ± 54.78 | 0.322 |
| Dairy products | 140.89 ± 107.44 | 139.12 ± 111.08 | 142.87 ± 104.11 | 0.843 |
p values by one-way ANOVA for means. Results are presented as mean ± standard deviation.
Figure 1Contribution of dietary sources on total calcium intake (in percentage).
Figure 2Food frequency distribution.