| Literature DB >> 35805485 |
Beata Piórecka1, Karolina Koczur1, Radosław Cichocki1, Paweł Jagielski1, Paweł Kawalec1.
Abstract
The use of regular supplementation may be important in alleviating the potential effects of specific nutrient deficiencies. The aim of this cross-sectional study was to assess the socio-economic and lifestyle factors influencing the administration of dietary supplements to schoolchildren from the Małopolskie voivodship. The study was conducted in March-June 2018 on 332 healthy children and adolescents (187 boys, 145 girls) aged 7-14 from the city and municipality of Niepołomice and the city of Kraków. The mean age of the subjects was 10.35 + 1.64 years. In order to assess their diet, a questionnaire was completed, by the parents or the child, on the frequency of consumption of specific products and foods (Food Frequency Questionnaire, FFQ) with added questions on the supplements provided. In assessing nutritional status, basic anthropometric measurements were taken and the BMI index was analysed. To check which factors influenced the use of supplements among respondents, the odds ratio (OR) was calculated. Approximately one-third of the total number of subjects (33.8%) took dietary supplements, most often supplements containing vitamins D and C, followed by multivitamin supplements and omega-3 fatty acids. The least common supplements contained calcium and iron. Dietary supplement intake was significantly higher among children living in rural areas compared to city areas (39.3% vs. 26.5% of respondents; p = 0.0150), and among boys compared to girls (37.3% vs. 27.8%; p = 0.048). It was observed that children more often received dietary supplements in multigenerational families and in families where at least one parent did not work. This is related to the place of residence of the respondent. Awareness of the need for, and the safe use of, dietary supplements is necessary among parents of children and adolescents.Entities:
Keywords: dietary supplements; eating behaviour; nutritional status; schoolchildren
Mesh:
Substances:
Year: 2022 PMID: 35805485 PMCID: PMC9265727 DOI: 10.3390/ijerph19137826
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Socio-demographic characteristics of the study group.
| Selected Socio-Demographic Variables | N | % |
|---|---|---|
|
| ||
| Male | 187 | 56.3 |
| Female | 145 | 43.7 |
|
| ||
| Up to 11 years | 213 | 64.2 |
| Above 11 years | 119 | 35.8 |
|
| ||
| countryside | 148 | 45.1 |
| city | 180 | 54.9 |
|
| ||
| complete | 250 | 75.5 |
| incomplete | 81 | 24.5 |
|
| ||
| primary | 2 | 3 |
| vocational | 37 | 11.5 |
| secondary | 95 | 29.4 |
| higher | 189 | 58.5 |
|
| ||
| primary | 1 | 0.3 |
| vocational | 70 | 22.4 |
| secondary | 97 | 31.1 |
| higher | 144 | 46.2 |
|
| ||
| Both parents work | 286 | 78.1 |
| Only the father works | 57 | 18.1 |
| Only the mother works | 12 | 3.85 |
* Complete family—both parents live with the child.
Results of anthropometric measurements and interpretations of the BMI index of children according to place of residence.
| Variable | Total | Countryside | City | |||||
|---|---|---|---|---|---|---|---|---|
|
| ||||||||
| Height (m) * | 1.44 ± 0.12 | 1.45 ± 0.12 | 1.42 ± 0.11 | 0.037 | ||||
| Weight (kg) * | 37.87 ± 10.83 | 39.80 ± 11.65 | 35.50 ± 9.24 | 0.001 | ||||
| BMI (kg/m2) * | 17.98 ± 3.14 | 18.51 ± 3.36 | 17.33 ± 2.71 | 0.001 | ||||
| Waist circumference (cm) * | 62.33 ± 8.01 | 63.82 ± 8.63 | 60.51 ± 6.78 | <0.001 | ||||
| Hip circumference (cm) * | 75.86 ± 9.08 | 77.89 ± 9.47 | 73.38 ± 7.93 | <0.001 | ||||
| Variable | Category | N | % | N | % | N | % |
|
| BMI interpretation * | Underweight | 26 | 7.9 | 13 | 7.2 | 13 | 8.8 | 0.0136 |
| Normal body weight | 249 | 75.5 | 127 | 70.6 | 119 | 81.0 | ||
| Overweight | 33 | 10.0 | 26 | 14.4 | 7 | 4.8 | ||
| Obesity | 22 | 6.7 | 14 | 7.8 | 8 | 5.4 | ||
N—number of children, X—arithmetic mean, SD—standard deviation, p—significance level of differences, BMI—body mass index, *—statistically significant difference, p—U Mann–Whitney test.
Frequency of consumption (% of answer) of selected food products for all the schoolchildren.
| Food Product | Never | One to Three Times a Month | Once a Week | A Few Times a Week | Once a Day | A Few Times a Day |
|---|---|---|---|---|---|---|
| white rice, plain pasta or small groats | 1.2 | 8.3 | 23.8 | 53.7 | 12.3 | 0.6 |
| plain bread | 0.9 | 1.8 | 1.2 | 10.1 | 24.8 | 61.0 |
| wholemeal bread | 29.7 | 25.3 | 14.2 | 16.8 | 8.9 | 5.1 |
| buckwheat groats, oatmeal, wholemeal pasta or other coarse groats | 22.2 | 24.9 | 17.5 | 25.5 | 7.7 | 2.2 |
| yellow cheeses, processed cheeses, mouldy cheeses | 10.5 | 12.0 | 14.8 | 38.3 | 17.0 | 7.4 |
| cottage cheese | 11.2 | 12.1 | 24.5 | 33.9 | 14.9 | 3.4 |
| cold cuts, sausages, wieners | 2.1 | 5.5 | 8.0 | 44.3 | 26.6 | 13.5 |
| fish, fish preparations | 11.0 | 31.0 | 41.4 | 13.8 | 1.3 | 1.6 |
| so-called white meat dishes | 0.9 | 4.7 | 15.8 | 66.1 | 9.6 | 2.8 |
| so-called red meat dishes | 6.5 | 20.4 | 31.5 | 38.0 | 3.1 | 0.6 |
| legume dishes | 24.7 | 48.5 | 16.7 | 9.3 | 0.6 | 0.3 |
| nuts, seeds | 18.6 | 37.2 | 24.1 | 16.4 | 2.2 | 1.5 |
| Eggs | 3.4 | 10.1 | 30.8 | 48.5 | 5.5 | 1.8 |
| butter | 4.0 | 4.0 | 5.2 | 17.5 | 30.7 | 38.7 |
| Margarines | 61.1 | 8.0 | 5.1 | 9.2 | 8.9 | 7.6 |
| potatoes (not including chips or crisps) | 2.8 | 4.0 | 8.9 | 65.0 | 16.9 | 2.5 |
| canned vegetables, marinated or pickled vegetables | 22.7 | 30.4 | 20.5 | 22.4 | 3.1 | 0.9 |
| raw vegetables | 12.1 | 15.8 | 12.1 | 32.8 | 18.6 | 8.7 |
| cooked vegetables | 11.2 | 13.7 | 14.3 | 43.2 | 16.8 | 0.9 |
| fruit | 0.3 | 1.6 | 6.6 | 30.6 | 35.0 | 25.9 |
| canned meat | 0.3 | 72.9 | 21.7 | 2.9 | 1.3 | 1.0 |
| sweets | 0.9 | 4.0 | 9.8 | 33.3 | 28.7 | 23.2 |
| fast food | 6.1 | 67.6 | 21.1 | 4.6 | 0.3 | 0.3 |
Figure 1Percentage of children taking supplements by place of residence.
Percentage of children with respect to selected factors divided in relation to whether or not they consume dietary supplements.
| Variables | Time | % of Respondents Who Consume Food Supplements | % of Respondents Who Do Not Consume Food Supplements |
|
|---|---|---|---|---|
| Sex | Male | 37.3 | 62.7 | 0.0480 |
| Female | 27.8 | 72.2 | ||
| Age | 7–10 | 33.2 | 66.8 | 0.7326 |
| 11–14 | 35.0 | 65.0 | ||
| Place of residence | Countryside | 39.3 | 60.7 | 0.0150 |
| City | 26.5 | 73.5 | ||
| Nutritional status | Underweight and normal | 34.6 | 65.4 | 0.4848 |
| Overweight and obese | 29.6 | 70.4 | ||
| Multiple family | Not multiple | 32.5 | 67.5 | 0.3964 |
| Multiple | 37.5 | 62.5 | ||
| Multi-generational family | Two generations | 30.3 | 69.7 | 0.0255 |
| Many generations | 43.3 | 56.7 | ||
| Mother’s education | Basic, vocational | 41.0 | 59.0 | 0.3349 |
| Secondary, higher | 33.2 | 66.8 | ||
| Father’s education | Basic, vocational | 36.6 | 63.4 | 0.7029 |
| Secondary, higher | 34.2 | 65.8 | ||
| Parents’ occupational status | One or both do not work | 50.0 | 50.0 | 0.0021 |
| Both work | 30.2 | 69.8 | ||
| Frequency and intensity of exercise | Low | 33.0 | 67.0 | 0.8312 |
| High | 34.2 | 65.8 | ||
| Time spent in front of TV or computer per day | Less than 2 h | 32.7 | 67.3 | 0.5480 |
| 2 h or more | 36.0 | 64.0 |
p—chi square test.
Potential predictors of use of supplements in studied group.
| Variables | OR | 95%CI |
|---|---|---|
|
| ||
| Countryside | 1.0 | REF |
| City | 0.557 | 0.347–0.895 |
|
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| Two generations | 1.0 | REF |
| Many generations | 1.763 | 1.069–2.908 |
|
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| One or both do not work | 1.0 | REF |
| Both work | 0.433 | 0.252–0.744 |